2025-03-14T04:04:22.7720213Z Current runner version: '2.322.0'
2025-03-14T04:04:22.7727848Z Runner name: 'i-027acbcd25a060095'
2025-03-14T04:04:22.7728826Z Runner group name: 'Default'
2025-03-14T04:04:22.7729876Z Machine name: 'ip-10-1-55-79'
2025-03-14T04:04:22.7734482Z ##[group]GITHUB_TOKEN Permissions
2025-03-14T04:04:22.7737364Z Actions: read
2025-03-14T04:04:22.7738134Z Attestations: read
2025-03-14T04:04:22.7738865Z Checks: read
2025-03-14T04:04:22.7739504Z Contents: read
2025-03-14T04:04:22.7740156Z Deployments: read
2025-03-14T04:04:22.7740768Z Discussions: read
2025-03-14T04:04:22.7741415Z Issues: read
2025-03-14T04:04:22.7742051Z Metadata: read
2025-03-14T04:04:22.7742687Z Packages: read
2025-03-14T04:04:22.7743356Z Pages: read
2025-03-14T04:04:22.7743997Z PullRequests: read
2025-03-14T04:04:22.7744644Z RepositoryProjects: read
2025-03-14T04:04:22.7745477Z SecurityEvents: read
2025-03-14T04:04:22.7746149Z Statuses: read
2025-03-14T04:04:22.7746791Z ##[endgroup]
2025-03-14T04:04:22.7750205Z Secret source: Actions
2025-03-14T04:04:22.7751250Z Prepare workflow directory
2025-03-14T04:04:23.0823980Z Prepare all required actions
2025-03-14T04:04:23.0866476Z Getting action download info
2025-03-14T04:04:23.2698921Z Download action repository 'pytorch/test-infra@main' (SHA:de00dac6adc071cb2f9861380a0ed3947b93e5cc)
2025-03-14T04:04:24.4523831Z Download action repository 'pytorch/pytorch@main' (SHA:aed0b7a742a2d7b7901790622829cbd2135049a4)
2025-03-14T04:04:37.2696494Z Download action repository 'aws-actions/configure-aws-credentials@v3' (SHA:50ac8dd1e1b10d09dac7b8727528b91bed831ac0)
2025-03-14T04:04:37.4514048Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-03-14T04:04:37.7407108Z Getting action download info
2025-03-14T04:04:37.8325960Z Download action repository 'actions/checkout@v4' (SHA:11bd71901bbe5b1630ceea73d27597364c9af683)
2025-03-14T04:04:38.0523461Z Getting action download info
2025-03-14T04:04:38.1456328Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e)
2025-03-14T04:04:38.3130601Z Getting action download info
2025-03-14T04:04:38.4017671Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482)
2025-03-14T04:04:38.5525650Z Getting action download info
2025-03-14T04:04:38.6787455Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (aed0b7a742a2d7b7901790622829cbd2135049a4)
2025-03-14T04:04:38.6789577Z ##[group] Inputs
2025-03-14T04:04:38.6789961Z   build-environment: linux-focal-py3.13-clang10
2025-03-14T04:04:38.6792953Z   test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "crossref", "shard": 1, "num_shards": 2, "runner": "lf.linux.2xlarge"}, {"config": "crossref", "shard": 2, "num_shards": 2, "runner": "lf.linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "lf.linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "lf.linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "lf.linux.2xlarge"}]}
2025-03-14T04:04:38.6796391Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.13-clang10:aa89d6e739080d90fa18625d57297c6734465849
2025-03-14T04:04:38.6797194Z   sync-tag: 
2025-03-14T04:04:38.6798001Z   timeout-minutes: 600
2025-03-14T04:04:38.6798293Z   use-gha: 
2025-03-14T04:04:38.6798546Z   dashboard-tag: 
2025-03-14T04:04:38.6798820Z   s3-bucket: gha-artifacts
2025-03-14T04:04:38.6799129Z   aws-role-to-assume: 
2025-03-14T04:04:38.6799725Z   disable-monitor: false
2025-03-14T04:04:38.6800321Z ##[endgroup]
2025-03-14T04:04:38.6800890Z Complete job name: linux-focal-py3.13-clang10 / test (crossref, 1, 2, lf.linux.2xlarge)
2025-03-14T04:04:38.7338667Z A job started hook has been configured by the self-hosted runner administrator
2025-03-14T04:04:38.7461445Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh'
2025-03-14T04:04:38.7474413Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-14T04:04:38.7475622Z ##[endgroup]
2025-03-14T04:04:40.5349752Z Runner Type: lf.linux.2xlarge
2025-03-14T04:04:40.5350322Z Instance Type: c5.2xlarge
2025-03-14T04:04:40.5350629Z AMI Name: unknown
2025-03-14T04:04:40.5374997Z AMI ID: ami-05b10e08d247fb927
2025-03-14T04:04:45.9397583Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main
2025-03-14T04:04:45.9398062Z with:
2025-03-14T04:04:45.9398864Z   github-secret: ***
2025-03-14T04:04:45.9399625Z   instructions: All testing is done inside the container, to start an interactive session run:
  docker exec -it $(docker container ps --format '{{.ID}}') bash

2025-03-14T04:04:45.9400453Z   activate-with-label: false
2025-03-14T04:04:45.9400742Z   label: with-ssh
2025-03-14T04:04:45.9401002Z   remove-existing-keys: true
2025-03-14T04:04:45.9401301Z   fail-silently: true
2025-03-14T04:04:45.9401559Z env:
2025-03-14T04:04:45.9401782Z   GIT_DEFAULT_BRANCH: main
2025-03-14T04:04:45.9402076Z ##[endgroup]
2025-03-14T04:04:46.0557604Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info.
2025-03-14T04:04:46.0559283Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys
2025-03-14T04:04:46.0724663Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main
2025-03-14T04:04:46.0725153Z with:
2025-03-14T04:04:46.0725410Z   no-sudo: true
2025-03-14T04:04:46.0725684Z   submodules: recursive
2025-03-14T04:04:46.0725984Z   fetch-depth: 0
2025-03-14T04:04:46.0726232Z env:
2025-03-14T04:04:46.0726479Z   GIT_DEFAULT_BRANCH: main
2025-03-14T04:04:46.0726781Z ##[endgroup]
2025-03-14T04:04:46.0811185Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-03-14T04:04:46.0812233Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-03-14T04:04:46.0819761Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-14T04:04:46.0820197Z env:
2025-03-14T04:04:46.0820483Z   GIT_DEFAULT_BRANCH: main
2025-03-14T04:04:46.0820816Z ##[endgroup]
2025-03-14T04:04:46.0911092Z ##[group]Run # Use all available CPUs for fetching
2025-03-14T04:04:46.0911572Z # Use all available CPUs for fetching
2025-03-14T04:04:46.0911957Z cd "${GITHUB_WORKSPACE}"
2025-03-14T04:04:46.0912334Z git config --global fetch.parallel 0
2025-03-14T04:04:46.0912766Z git config --global submodule.fetchJobs 0
2025-03-14T04:04:46.0913147Z 
2025-03-14T04:04:46.0913545Z # Clean workspace. The default checkout action should also do this, but
2025-03-14T04:04:46.0914083Z # do it here as well just in case
2025-03-14T04:04:46.0914432Z if [[ -d .git ]]; then
2025-03-14T04:04:46.0914769Z   if [ -z "${NO_SUDO}" ]; then
2025-03-14T04:04:46.0915219Z     sudo git clean -ffdx
2025-03-14T04:04:46.0915543Z   else
2025-03-14T04:04:46.0915811Z     git clean -ffdx
2025-03-14T04:04:46.0916110Z   fi
2025-03-14T04:04:46.0916359Z fi
2025-03-14T04:04:46.0921881Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-14T04:04:46.0922304Z env:
2025-03-14T04:04:46.0922554Z   GIT_DEFAULT_BRANCH: main
2025-03-14T04:04:46.0922852Z   NO_SUDO: true
2025-03-14T04:04:46.0923197Z ##[endgroup]
2025-03-14T04:04:47.1144052Z Removing .additional_ci_files/
2025-03-14T04:04:47.1144570Z Removing .github/scripts/__pycache__/
2025-03-14T04:04:47.1144928Z Removing .pytest_cache/
2025-03-14T04:04:47.1145231Z Removing artifacts.zip
2025-03-14T04:04:47.1145872Z Removing aten/src/ATen/Config.h
2025-03-14T04:04:47.1146188Z Removing build/
2025-03-14T04:04:47.1146474Z Removing compile_commands.json
2025-03-14T04:04:47.1146786Z Removing dist/
2025-03-14T04:04:47.1147063Z Removing functorch/functorch.so
2025-03-14T04:04:47.1147526Z Removing sccache-stats-linux-focal-py3.13-clang10-38754275045.json
2025-03-14T04:04:47.1148021Z Removing test/test-reports/
2025-03-14T04:04:47.1148352Z Removing third_party/__pycache__/
2025-03-14T04:04:47.1148689Z Removing third_party/nccl/
2025-03-14T04:04:47.1149001Z Removing tools/__pycache__/
2025-03-14T04:04:47.1149414Z Removing tools/autograd/__pycache__/
2025-03-14T04:04:47.1149785Z Removing tools/pyi/__pycache__/
2025-03-14T04:04:47.1150255Z Removing tools/setup_helpers/__pycache__/
2025-03-14T04:04:47.1150841Z Removing tools/shared/_utils_internal.py
2025-03-14T04:04:47.1151432Z Removing tools/stats/__pycache__/
2025-03-14T04:04:47.1151952Z Removing torch.egg-info/
2025-03-14T04:04:47.1152461Z Removing torch/_C/_VariableFunctions.pyi
2025-03-14T04:04:47.1152960Z Removing torch/_C/__init__.pyi
2025-03-14T04:04:47.1153269Z Removing torch/_C/_nn.pyi
2025-03-14T04:04:47.1153569Z Removing torch/_VF.pyi
2025-03-14T04:04:47.1153861Z Removing torch/__pycache__/
2025-03-14T04:04:47.1154164Z Removing torch/bin/
2025-03-14T04:04:47.1154479Z Removing torch/csrc/api/include/torch/version.h
2025-03-14T04:04:47.1154910Z Removing torch/csrc/autograd/generated/
2025-03-14T04:04:47.1155468Z Removing torch/csrc/inductor/aoti_torch/generated/c_shim_cpu.cpp
2025-03-14T04:04:47.1156269Z Removing torch/csrc/inductor/aoti_torch/generated/c_shim_cuda.cpp
2025-03-14T04:04:47.1156761Z Removing torch/csrc/lazy/generated/LazyIr.h
2025-03-14T04:04:47.1157221Z Removing torch/csrc/lazy/generated/LazyNativeFunctions.cpp
2025-03-14T04:04:47.1157735Z Removing torch/csrc/lazy/generated/LazyNativeFunctions.h
2025-03-14T04:04:47.1158216Z Removing torch/csrc/lazy/generated/LazyNonNativeIr.h
2025-03-14T04:04:47.1158714Z Removing torch/csrc/lazy/generated/RegisterAutogradLazy.cpp
2025-03-14T04:04:47.1159220Z Removing torch/csrc/lazy/generated/RegisterLazy.cpp
2025-03-14T04:04:47.1159619Z Removing torch/include/
2025-03-14T04:04:47.1159913Z Removing torch/lib/cmake/
2025-03-14T04:04:47.1160222Z Removing torch/lib/libXNNPACK.a
2025-03-14T04:04:47.1160552Z Removing torch/lib/libaoti_custom_ops.so
2025-03-14T04:04:47.1160913Z Removing torch/lib/libasmjit.a
2025-03-14T04:04:47.1161269Z Removing torch/lib/libbackend_with_compiler.so
2025-03-14T04:04:47.1161653Z Removing torch/lib/libc10.so
2025-03-14T04:04:47.1161973Z Removing torch/lib/libclog.a
2025-03-14T04:04:47.1162292Z Removing torch/lib/libcpuinfo.a
2025-03-14T04:04:47.1162618Z Removing torch/lib/libdnnl.a
2025-03-14T04:04:47.1162935Z Removing torch/lib/libfbgemm.a
2025-03-14T04:04:47.1163256Z Removing torch/lib/libfmt.a
2025-03-14T04:04:47.1163586Z Removing torch/lib/libjitbackend_test.so
2025-03-14T04:04:47.1163949Z Removing torch/lib/libkineto.a
2025-03-14T04:04:47.1164296Z Removing torch/lib/libmicrokernels-prod.a
2025-03-14T04:04:47.1164670Z Removing torch/lib/libnnpack.a
2025-03-14T04:04:47.1165005Z Removing torch/lib/libprotobuf-lite.a
2025-03-14T04:04:47.1165362Z Removing torch/lib/libprotobuf.a
2025-03-14T04:04:47.1165692Z Removing torch/lib/libprotoc.a
2025-03-14T04:04:47.1166012Z Removing torch/lib/libpthreadpool.a
2025-03-14T04:04:47.1166370Z Removing torch/lib/libpytorch_qnnpack.a
2025-03-14T04:04:47.1166726Z Removing torch/lib/libshm.so
2025-03-14T04:04:47.1167270Z Removing torch/lib/libsleef.a
2025-03-14T04:04:47.1167608Z Removing torch/lib/libtensorpipe.a
2025-03-14T04:04:47.1167980Z Removing torch/lib/libtensorpipe_uv.a
2025-03-14T04:04:47.1168335Z Removing torch/lib/libtorch.so
2025-03-14T04:04:47.1168664Z Removing torch/lib/libtorch_cpu.so
2025-03-14T04:04:47.1169020Z Removing torch/lib/libtorch_global_deps.so
2025-03-14T04:04:47.1169396Z Removing torch/lib/libtorch_python.so
2025-03-14T04:04:47.1169789Z Removing torch/lib/libtorchbind_test.so
2025-03-14T04:04:47.1170155Z Removing torch/lib/pkgconfig/
2025-03-14T04:04:47.1170632Z Removing torch/nn/functional.pyi
2025-03-14T04:04:47.1170971Z Removing torch/return_types.pyi
2025-03-14T04:04:47.1171293Z Removing torch/share/
2025-03-14T04:04:47.1171578Z Removing torch/test/
2025-03-14T04:04:47.1171968Z Removing torch/testing/_internal/generated/annotated_fn_args.py
2025-03-14T04:04:47.1172541Z Removing torch/utils/benchmark/utils/valgrind_wrapper/callgrind.h
2025-03-14T04:04:47.1173117Z Removing torch/utils/benchmark/utils/valgrind_wrapper/valgrind.h
2025-03-14T04:04:47.1173625Z Removing torch/utils/data/datapipes/datapipe.pyi
2025-03-14T04:04:47.1174021Z Removing torch/version.py
2025-03-14T04:04:47.1174333Z Removing torchgen/__pycache__/
2025-03-14T04:04:47.1174653Z Removing torchgen/aoti/__pycache__/
2025-03-14T04:04:47.1175008Z Removing torchgen/api/__pycache__/
2025-03-14T04:04:47.1175379Z Removing torchgen/api/types/__pycache__/
2025-03-14T04:04:47.1175750Z Removing torchgen/dest/__pycache__/
2025-03-14T04:04:47.1176112Z Removing torchgen/executorch/__pycache__/
2025-03-14T04:04:47.1176515Z Removing torchgen/executorch/api/__pycache__/
2025-03-14T04:04:47.1176943Z Removing torchgen/executorch/api/types/__pycache__/
2025-03-14T04:04:47.1177343Z Removing torchgen/packaged/
2025-03-14T04:04:47.1177692Z Removing torchgen/selective_build/__pycache__/
2025-03-14T04:04:47.1252592Z ##[group]Run actions/checkout@v4
2025-03-14T04:04:47.1252927Z with:
2025-03-14T04:04:47.1253208Z   ref: aed0b7a742a2d7b7901790622829cbd2135049a4
2025-03-14T04:04:47.1253578Z   fetch-depth: 0
2025-03-14T04:04:47.1253846Z   submodules: recursive
2025-03-14T04:04:47.1254302Z   show-progress: false
2025-03-14T04:04:47.1254607Z   repository: pytorch/pytorch
2025-03-14T04:04:47.1255035Z   token: ***
2025-03-14T04:04:47.1255289Z   ssh-strict: true
2025-03-14T04:04:47.1255554Z   ssh-user: git
2025-03-14T04:04:47.1255828Z   persist-credentials: true
2025-03-14T04:04:47.1256137Z   clean: true
2025-03-14T04:04:47.1256413Z   sparse-checkout-cone-mode: true
2025-03-14T04:04:47.1256763Z   fetch-tags: false
2025-03-14T04:04:47.1257024Z   lfs: false
2025-03-14T04:04:47.1257284Z   set-safe-directory: true
2025-03-14T04:04:47.1257580Z env:
2025-03-14T04:04:47.1257827Z   GIT_DEFAULT_BRANCH: main
2025-03-14T04:04:47.1258119Z ##[endgroup]
2025-03-14T04:04:47.2354019Z Syncing repository: pytorch/pytorch
2025-03-14T04:04:47.2355536Z ##[group]Getting Git version info
2025-03-14T04:04:47.2356071Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2025-03-14T04:04:47.2356799Z [command]/usr/bin/git version
2025-03-14T04:04:47.2357116Z git version 2.47.1
2025-03-14T04:04:47.2367683Z ##[endgroup]
2025-03-14T04:04:47.2376409Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/a7c5c104-74c3-4d7b-bd28-b3d869796bb9/.gitconfig'
2025-03-14T04:04:47.2395464Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/a7c5c104-74c3-4d7b-bd28-b3d869796bb9' before making global git config changes
2025-03-14T04:04:47.2396516Z Adding repository directory to the temporary git global config as a safe directory
2025-03-14T04:04:47.2399945Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-03-14T04:04:47.2435332Z [command]/usr/bin/git config --local --get remote.origin.url
2025-03-14T04:04:47.2452717Z https://github.com/pytorch/pytorch
2025-03-14T04:04:47.2466393Z ##[group]Removing previously created refs, to avoid conflicts
2025-03-14T04:04:47.2469385Z [command]/usr/bin/git rev-parse --symbolic-full-name --verify --quiet HEAD
2025-03-14T04:04:47.2486046Z HEAD
2025-03-14T04:04:47.2518020Z ##[endgroup]
2025-03-14T04:04:47.2520786Z [command]/usr/bin/git submodule status
2025-03-14T04:04:47.2817618Z  7e1e1fe3858c63c251c637ae41a20de425dde96f android/libs/fbjni (v0.1.0-12-g7e1e1fe)
2025-03-14T04:04:47.2887943Z  4dfe081cf6bcd15db339cf2680b9281b8451eeb3 third_party/FP16 (4dfe081)
2025-03-14T04:04:47.2956895Z  b408327ac2a15ec3e43352421954f5b1967701d1 third_party/FXdiv (b408327)
2025-03-14T04:04:47.3039996Z  c07e3a0400713d546e0dea2d5466dd22ea389c73 third_party/NNPACK (c07e3a0)
2025-03-14T04:04:47.3061404Z  e170594ac7cf1dac584da473d4ca9301087090c1 third_party/NVTX (v3.1.0)
2025-03-14T04:04:47.3138365Z  a6bfc237255a6bac1513f7c1ebde6d8aed6b5191 third_party/VulkanMemoryAllocator (v2.1.0-705-ga6bfc23)
2025-03-14T04:04:47.3654128Z  51a0103656eff6fc9bfd39a4597923c4b542c883 third_party/XNNPACK (remotes/origin/ds/ndk-1243-g51a010365)
2025-03-14T04:04:47.3678101Z  0d98dba29d66e93259db7daa53a9327df767a415 third_party/benchmark (v1.6.1)
2025-03-14T04:04:47.3705986Z  8086bbe3a78d931eb96fe12fdc014082e18d18d3 third_party/composable_kernel (mock-tag-test-6-g8086bbe3a)
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2025-03-14T04:04:47.6614536Z  2859721fd9e73d3ca1c56f827dbc64e6d68f78a2 third_party/kineto (remotes/origin/sraikund/test-53-g2859721)
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2025-03-14T04:04:47.7534788Z  a799f4aed9c94b765dcdaabaeab7d5e7e2310878 third_party/opentelemetry-cpp (v1.14.2)
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2025-03-14T04:04:47.7959903Z  d1eca4e4b421cd2997495c4b4e65cea6be4e9b8a third_party/protobuf (v3.7.0-rc.2-1279-gd1eca4e4b)
2025-03-14T04:04:47.8031163Z  072586a71b55b7f8c584153d223e95687148a900 third_party/psimd (heads/master)
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2025-03-14T04:04:47.8369799Z  52791a2fd214b2a9dc5759d36725909c1daa7f2e third_party/tensorpipe (remotes/origin/master)
2025-03-14T04:04:47.8379612Z ##[group]Cleaning the repository
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2025-03-14T04:04:49.2339351Z HEAD is now at aed0b7a742a [c10d] Add param recording for uniqueID broadcasting and allgather (#149166)
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2025-03-14T04:04:50.0671681Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-03-14T04:04:50.0716808Z ##[endgroup]
2025-03-14T04:04:50.0717634Z ##[group]Fetching the repository
2025-03-14T04:04:50.0725739Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/*
2025-03-14T04:04:50.4594681Z From https://github.com/pytorch/pytorch
2025-03-14T04:04:50.4595259Z  * [new tag]                 ciflow/trunk/149064 -> ciflow/trunk/149064
2025-03-14T04:04:50.5159589Z [command]/usr/bin/git rev-parse --verify --quiet aed0b7a742a2d7b7901790622829cbd2135049a4^{object}
2025-03-14T04:04:50.5184875Z aed0b7a742a2d7b7901790622829cbd2135049a4
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2025-03-14T04:04:50.5193792Z [command]/usr/bin/git sparse-checkout disable
2025-03-14T04:04:50.6352770Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig
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2025-03-14T04:04:50.6382767Z [command]/usr/bin/git checkout --progress --force aed0b7a742a2d7b7901790622829cbd2135049a4
2025-03-14T04:04:50.6719946Z HEAD is now at aed0b7a742a [c10d] Add param recording for uniqueID broadcasting and allgather (#149166)
2025-03-14T04:04:50.6733581Z ##[endgroup]
2025-03-14T04:04:50.6734067Z ##[group]Setting up auth for fetching submodules
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2025-03-14T04:04:50.6779741Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2025-03-14T04:04:50.6804402Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2025-03-14T04:04:50.6828497Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2025-03-14T04:04:50.6850927Z ##[endgroup]
2025-03-14T04:04:50.6851432Z ##[group]Fetching submodules
2025-03-14T04:04:50.6854005Z [command]/usr/bin/git submodule sync --recursive
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2025-03-14T04:04:50.8693564Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive
2025-03-14T04:04:50.9144477Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f'
2025-03-14T04:04:50.9261944Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3'
2025-03-14T04:04:50.9353391Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1'
2025-03-14T04:04:50.9637781Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73'
2025-03-14T04:04:51.0143989Z Submodule path 'third_party/NVTX': checked out 'e170594ac7cf1dac584da473d4ca9301087090c1'
2025-03-14T04:04:51.0633722Z Submodule path 'third_party/VulkanMemoryAllocator': checked out 'a6bfc237255a6bac1513f7c1ebde6d8aed6b5191'
2025-03-14T04:04:51.9510356Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883'
2025-03-14T04:04:51.9825022Z Submodule path 'third_party/benchmark': checked out '0d98dba29d66e93259db7daa53a9327df767a415'
2025-03-14T04:04:52.2995514Z Submodule path 'third_party/composable_kernel': checked out '8086bbe3a78d931eb96fe12fdc014082e18d18d3'
2025-03-14T04:04:52.3511106Z Submodule path 'third_party/cpp-httplib': checked out '3b6597bba913d51161383657829b7e644e59c006'
2025-03-14T04:04:52.4702678Z Submodule path 'third_party/cpuinfo': checked out '1e83a2fdd3102f65c6f1fb602c1b320486218a99'
2025-03-14T04:04:52.5147480Z Submodule path 'third_party/cudnn_frontend': checked out '91b7532f3386768bba4f444ee7672b497f34da8a'
2025-03-14T04:04:53.2052958Z Submodule path 'third_party/cutlass': checked out 'afa1772203677c5118fcd82537a9c8fefbcc7008'
2025-03-14T04:04:53.4937463Z Submodule path 'third_party/eigen': checked out '3147391d946bb4b6c68edd901f2add6ac1f31f8c'
2025-03-14T04:04:53.5666804Z Submodule path 'third_party/fbgemm': checked out 'dbc3157bf256f1339b3fa1fef2be89ac4078be0e'
2025-03-14T04:04:53.6132332Z Submodule path 'third_party/fbgemm/third_party/asmjit': checked out 'd3fbf7c9bc7c1d1365a94a45614b91c5a3706b81'
2025-03-14T04:04:53.7124524Z Submodule path 'third_party/fbgemm/third_party/cpuinfo': checked out 'ed8b86a253800bafdb7b25c5c399f91bff9cb1f3'
2025-03-14T04:04:54.1928011Z Submodule path 'third_party/fbgemm/third_party/cutlass': checked out 'fc9ebc645b63f3a6bc80aaefde5c063fb72110d6'
2025-03-14T04:04:54.2415423Z Submodule path 'third_party/fbgemm/third_party/googletest': checked out 'cbf019de22c8dd37b2108da35b2748fd702d1796'
2025-03-14T04:04:54.2530231Z Submodule path 'third_party/fbgemm/third_party/hipify_torch': checked out '23f53b025b466d8ec3c45d52290d3442f7fbe6b1'
2025-03-14T04:04:54.3344669Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5'
2025-03-14T04:04:54.6183271Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33'
2025-03-14T04:04:55.2695427Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420'
2025-03-14T04:04:55.4281889Z Submodule path 'third_party/flatbuffers': checked out '01834de25e4bf3975a9a00e816292b1ad0fe184b'
2025-03-14T04:04:55.4629093Z Submodule path 'third_party/fmt': checked out '123913715afeb8a437e6388b4473fcc4753e1c9a'
2025-03-14T04:04:55.5074762Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350'
2025-03-14T04:04:55.5398443Z Submodule path 'third_party/gloo': checked out '5354032ea08eadd7fc4456477f7f7c6308818509'
2025-03-14T04:04:55.5884136Z Submodule path 'third_party/googletest': checked out 'b514bdc898e2951020cbdca1304b75f5950d1f59'
2025-03-14T04:04:55.6028789Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3'
2025-03-14T04:04:56.2227622Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d'
2025-03-14T04:04:56.2411061Z Submodule path 'third_party/ittapi': checked out '5b8a7d7422611c3a0d799fb5fc5dd4abfae35b42'
2025-03-14T04:04:56.3341006Z Submodule path 'third_party/kineto': checked out '2859721fd9e73d3ca1c56f827dbc64e6d68f78a2'
2025-03-14T04:04:56.4258361Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e'
2025-03-14T04:04:56.6258837Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9'
2025-03-14T04:04:56.6460361Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400'
2025-03-14T04:04:56.6849048Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05'
2025-03-14T04:04:56.6994861Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067'
2025-03-14T04:04:56.7082855Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4'
2025-03-14T04:04:56.7273399Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446'
2025-03-14T04:04:56.7706296Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850'
2025-03-14T04:04:56.8825623Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5'
2025-03-14T04:04:56.9002626Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150'
2025-03-14T04:04:56.9410418Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164'
2025-03-14T04:04:56.9894197Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347'
2025-03-14T04:04:57.0360612Z Submodule path 'third_party/kleidiai': checked out 'ef685a13cfbe8d418aa2ed34350e21e4938358b6'
2025-03-14T04:04:57.0772431Z Submodule path 'third_party/mimalloc': checked out 'b66e3214d8a104669c2ec05ae91ebc26a8f5ab78'
2025-03-14T04:04:57.1899821Z Submodule path 'third_party/nlohmann': checked out '87cda1d6646592ac5866dc703c8e1839046a6806'
2025-03-14T04:04:57.6041259Z Submodule path 'third_party/onnx': checked out 'b8baa8446686496da4cc8fda09f2b6fe65c2a02c'
2025-03-14T04:04:57.6443675Z Submodule path 'third_party/onnx/third_party/pybind11': checked out '3e9dfa2866941655c56877882565e7577de6fc7b'
2025-03-14T04:04:57.7303317Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878'
2025-03-14T04:04:57.7529738Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2'
2025-03-14T04:04:57.7957797Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1'
2025-03-14T04:04:57.8088386Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa'
2025-03-14T04:04:57.9292728Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d'
2025-03-14T04:04:57.9419391Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce'
2025-03-14T04:04:57.9586268Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5'
2025-03-14T04:04:57.9768131Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d'
2025-03-14T04:04:58.2539825Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4'
2025-03-14T04:04:58.3031086Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-03-14T04:04:58.8772972Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50'
2025-03-14T04:04:58.8888228Z Submodule path 'third_party/pocketfft': checked out '9d3ab05a7fffbc71a492bc6a17be034e83e8f0fe'
2025-03-14T04:04:59.1875559Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a'
2025-03-14T04:04:59.2041441Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8'
2025-03-14T04:04:59.2576001Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081'
2025-03-14T04:04:59.2661025Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900'
2025-03-14T04:04:59.2779412Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8'
2025-03-14T04:04:59.3167451Z Submodule path 'third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4'
2025-03-14T04:04:59.3472587Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67'
2025-03-14T04:04:59.3926057Z Submodule path 'third_party/sleef': checked out '56e1f79cb140fb9326d612d0be06b5250565cade'
2025-03-14T04:04:59.4238082Z Submodule path 'third_party/tensorpipe': checked out '52791a2fd214b2a9dc5759d36725909c1daa7f2e'
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2025-03-14T04:04:59.4879304Z Submodule path 'third_party/tensorpipe/third_party/libnop': checked out '910b55815be16109f04f4180e9adee14fb4ce281'
2025-03-14T04:04:59.5537323Z Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242'
2025-03-14T04:04:59.5909359Z Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef'
2025-03-14T04:04:59.5994807Z Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5'
2025-03-14T04:04:59.6030739Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0
2025-03-14T04:04:59.6305289Z Entering 'android/libs/fbjni'
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2025-03-14T04:04:59.7457563Z Entering 'third_party/ideep/mkl-dnn'
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2025-03-14T04:04:59.7540498Z Entering 'third_party/kineto'
2025-03-14T04:04:59.7577623Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-03-14T04:04:59.7614722Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-03-14T04:04:59.7653963Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
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2025-03-14T04:04:59.7764409Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
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2025-03-14T04:04:59.7839497Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-03-14T04:04:59.7877518Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-03-14T04:04:59.7914974Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-03-14T04:04:59.7953463Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-03-14T04:04:59.7990118Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-03-14T04:04:59.8028311Z Entering 'third_party/kleidiai'
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2025-03-14T04:04:59.8104663Z Entering 'third_party/nlohmann'
2025-03-14T04:04:59.8144036Z Entering 'third_party/onnx'
2025-03-14T04:04:59.8198679Z Entering 'third_party/onnx/third_party/pybind11'
2025-03-14T04:04:59.8238317Z Entering 'third_party/opentelemetry-cpp'
2025-03-14T04:04:59.8277714Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-03-14T04:04:59.8313772Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-03-14T04:04:59.8349734Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-03-14T04:04:59.8385608Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-03-14T04:04:59.8423554Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-03-14T04:04:59.8458746Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-03-14T04:04:59.8494634Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-03-14T04:04:59.8530103Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-03-14T04:04:59.8568903Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-03-14T04:04:59.8607570Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-03-14T04:04:59.8666466Z Entering 'third_party/pocketfft'
2025-03-14T04:04:59.8704150Z Entering 'third_party/protobuf'
2025-03-14T04:04:59.8744723Z Entering 'third_party/protobuf/third_party/benchmark'
2025-03-14T04:04:59.8780912Z Entering 'third_party/protobuf/third_party/googletest'
2025-03-14T04:04:59.8819007Z Entering 'third_party/psimd'
2025-03-14T04:04:59.8855676Z Entering 'third_party/pthreadpool'
2025-03-14T04:04:59.8892939Z Entering 'third_party/pybind11'
2025-03-14T04:04:59.8930586Z Entering 'third_party/python-peachpy'
2025-03-14T04:04:59.8968223Z Entering 'third_party/sleef'
2025-03-14T04:04:59.9005879Z Entering 'third_party/tensorpipe'
2025-03-14T04:04:59.9044419Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-03-14T04:04:59.9080730Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-03-14T04:04:59.9116394Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-03-14T04:04:59.9152326Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-03-14T04:04:59.9188497Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-03-14T04:04:59.9238015Z ##[endgroup]
2025-03-14T04:04:59.9238801Z ##[group]Persisting credentials for submodules
2025-03-14T04:04:59.9244286Z [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' || :"
2025-03-14T04:04:59.9511253Z Entering 'android/libs/fbjni'
2025-03-14T04:04:59.9543895Z url.https://github.com/.insteadof
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2025-03-14T04:05:00.1694337Z url.https://github.com/.insteadof
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2025-03-14T04:05:00.1726641Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
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2025-03-14T04:05:00.1791231Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
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2025-03-14T04:05:00.1887393Z url.https://github.com/.insteadof
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2025-03-14T04:05:00.1982115Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
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2025-03-14T04:05:00.2141621Z url.https://github.com/.insteadof
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2025-03-14T04:05:00.2173936Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-03-14T04:05:00.2206134Z url.https://github.com/.insteadof
2025-03-14T04:05:00.2206945Z url.https://github.com/.insteadof
2025-03-14T04:05:00.2238414Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-03-14T04:05:00.2271272Z url.https://github.com/.insteadof
2025-03-14T04:05:00.2271943Z url.https://github.com/.insteadof
2025-03-14T04:05:00.2301207Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-03-14T04:05:00.2332927Z url.https://github.com/.insteadof
2025-03-14T04:05:00.2333330Z url.https://github.com/.insteadof
2025-03-14T04:05:00.2364007Z Entering 'third_party/kleidiai'
2025-03-14T04:05:00.2398014Z url.https://github.com/.insteadof
2025-03-14T04:05:00.2398450Z url.https://github.com/.insteadof
2025-03-14T04:05:00.2428030Z Entering 'third_party/mimalloc'
2025-03-14T04:05:00.2460735Z url.https://github.com/.insteadof
2025-03-14T04:05:00.2461308Z url.https://github.com/.insteadof
2025-03-14T04:05:00.2490509Z Entering 'third_party/nlohmann'
2025-03-14T04:05:00.2523007Z url.https://github.com/.insteadof
2025-03-14T04:05:00.2523583Z url.https://github.com/.insteadof
2025-03-14T04:05:00.2553204Z Entering 'third_party/onnx'
2025-03-14T04:05:00.2586578Z url.https://github.com/.insteadof
2025-03-14T04:05:00.2586973Z url.https://github.com/.insteadof
2025-03-14T04:05:00.2633032Z Entering 'third_party/onnx/third_party/pybind11'
2025-03-14T04:05:00.2665333Z url.https://github.com/.insteadof
2025-03-14T04:05:00.2665728Z url.https://github.com/.insteadof
2025-03-14T04:05:00.2698022Z Entering 'third_party/opentelemetry-cpp'
2025-03-14T04:05:00.2731291Z url.https://github.com/.insteadof
2025-03-14T04:05:00.2731860Z url.https://github.com/.insteadof
2025-03-14T04:05:00.2762796Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-03-14T04:05:00.2795238Z url.https://github.com/.insteadof
2025-03-14T04:05:00.2795692Z url.https://github.com/.insteadof
2025-03-14T04:05:00.2824742Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-03-14T04:05:00.2856835Z url.https://github.com/.insteadof
2025-03-14T04:05:00.2857507Z url.https://github.com/.insteadof
2025-03-14T04:05:00.2888098Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-03-14T04:05:00.2919638Z url.https://github.com/.insteadof
2025-03-14T04:05:00.2920061Z url.https://github.com/.insteadof
2025-03-14T04:05:00.2948446Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-03-14T04:05:00.2980734Z url.https://github.com/.insteadof
2025-03-14T04:05:00.2981121Z url.https://github.com/.insteadof
2025-03-14T04:05:00.3011943Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-03-14T04:05:00.3044568Z url.https://github.com/.insteadof
2025-03-14T04:05:00.3045144Z url.https://github.com/.insteadof
2025-03-14T04:05:00.3073854Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-03-14T04:05:00.3106203Z url.https://github.com/.insteadof
2025-03-14T04:05:00.3106587Z url.https://github.com/.insteadof
2025-03-14T04:05:00.3135967Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-03-14T04:05:00.3168543Z url.https://github.com/.insteadof
2025-03-14T04:05:00.3168944Z url.https://github.com/.insteadof
2025-03-14T04:05:00.3197272Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-03-14T04:05:00.3229267Z url.https://github.com/.insteadof
2025-03-14T04:05:00.3229942Z url.https://github.com/.insteadof
2025-03-14T04:05:00.3261397Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-03-14T04:05:00.3296267Z url.https://github.com/.insteadof
2025-03-14T04:05:00.3296645Z url.https://github.com/.insteadof
2025-03-14T04:05:00.3328336Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-03-14T04:05:00.3360334Z url.https://github.com/.insteadof
2025-03-14T04:05:00.3360732Z url.https://github.com/.insteadof
2025-03-14T04:05:00.3410681Z Entering 'third_party/pocketfft'
2025-03-14T04:05:00.3444094Z url.https://github.com/.insteadof
2025-03-14T04:05:00.3444513Z url.https://github.com/.insteadof
2025-03-14T04:05:00.3474098Z Entering 'third_party/protobuf'
2025-03-14T04:05:00.3506501Z url.https://github.com/.insteadof
2025-03-14T04:05:00.3506880Z url.https://github.com/.insteadof
2025-03-14T04:05:00.3539429Z Entering 'third_party/protobuf/third_party/benchmark'
2025-03-14T04:05:00.3571821Z url.https://github.com/.insteadof
2025-03-14T04:05:00.3572264Z url.https://github.com/.insteadof
2025-03-14T04:05:00.3601233Z Entering 'third_party/protobuf/third_party/googletest'
2025-03-14T04:05:00.3633541Z url.https://github.com/.insteadof
2025-03-14T04:05:00.3633923Z url.https://github.com/.insteadof
2025-03-14T04:05:00.3664797Z Entering 'third_party/psimd'
2025-03-14T04:05:00.3698557Z url.https://github.com/.insteadof
2025-03-14T04:05:00.3698931Z url.https://github.com/.insteadof
2025-03-14T04:05:00.3728315Z Entering 'third_party/pthreadpool'
2025-03-14T04:05:00.3760728Z url.https://github.com/.insteadof
2025-03-14T04:05:00.3761103Z url.https://github.com/.insteadof
2025-03-14T04:05:00.3790507Z Entering 'third_party/pybind11'
2025-03-14T04:05:00.3822857Z url.https://github.com/.insteadof
2025-03-14T04:05:00.3823231Z url.https://github.com/.insteadof
2025-03-14T04:05:00.3852848Z Entering 'third_party/python-peachpy'
2025-03-14T04:05:00.3886429Z url.https://github.com/.insteadof
2025-03-14T04:05:00.3886800Z url.https://github.com/.insteadof
2025-03-14T04:05:00.3916283Z Entering 'third_party/sleef'
2025-03-14T04:05:00.3949592Z url.https://github.com/.insteadof
2025-03-14T04:05:00.3950161Z url.https://github.com/.insteadof
2025-03-14T04:05:00.3979729Z Entering 'third_party/tensorpipe'
2025-03-14T04:05:00.4014368Z url.https://github.com/.insteadof
2025-03-14T04:05:00.4014800Z url.https://github.com/.insteadof
2025-03-14T04:05:00.4044334Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-03-14T04:05:00.4078661Z url.https://github.com/.insteadof
2025-03-14T04:05:00.4079100Z url.https://github.com/.insteadof
2025-03-14T04:05:00.4107976Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-03-14T04:05:00.4139911Z url.https://github.com/.insteadof
2025-03-14T04:05:00.4140350Z url.https://github.com/.insteadof
2025-03-14T04:05:00.4169804Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-03-14T04:05:00.4201773Z url.https://github.com/.insteadof
2025-03-14T04:05:00.4202179Z url.https://github.com/.insteadof
2025-03-14T04:05:00.4231333Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-03-14T04:05:00.4263249Z url.https://github.com/.insteadof
2025-03-14T04:05:00.4263631Z url.https://github.com/.insteadof
2025-03-14T04:05:00.4293589Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-03-14T04:05:00.4325917Z url.https://github.com/.insteadof
2025-03-14T04:05:00.4326486Z url.https://github.com/.insteadof
2025-03-14T04:05:00.4373279Z [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"
2025-03-14T04:05:00.4641252Z Entering 'android/libs/fbjni'
2025-03-14T04:05:00.4687441Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config	remote.origin.url
2025-03-14T04:05:00.4702744Z Entering 'third_party/FP16'
2025-03-14T04:05:00.4747000Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config	remote.origin.url
2025-03-14T04:05:00.4761634Z Entering 'third_party/FXdiv'
2025-03-14T04:05:00.4807584Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config	remote.origin.url
2025-03-14T04:05:00.4822503Z Entering 'third_party/NNPACK'
2025-03-14T04:05:00.4868598Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK/config	remote.origin.url
2025-03-14T04:05:00.4883640Z Entering 'third_party/NVTX'
2025-03-14T04:05:00.4928794Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NVTX/config	remote.origin.url
2025-03-14T04:05:00.4943663Z Entering 'third_party/VulkanMemoryAllocator'
2025-03-14T04:05:00.4989452Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/VulkanMemoryAllocator/config	remote.origin.url
2025-03-14T04:05:00.5004302Z Entering 'third_party/XNNPACK'
2025-03-14T04:05:00.5048865Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/XNNPACK/config	remote.origin.url
2025-03-14T04:05:00.5079002Z Entering 'third_party/benchmark'
2025-03-14T04:05:00.5123563Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/benchmark/config	remote.origin.url
2025-03-14T04:05:00.5138231Z Entering 'third_party/composable_kernel'
2025-03-14T04:05:00.5183294Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/composable_kernel/config	remote.origin.url
2025-03-14T04:05:00.5203615Z Entering 'third_party/cpp-httplib'
2025-03-14T04:05:00.5248622Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cpp-httplib/config	remote.origin.url
2025-03-14T04:05:00.5263072Z Entering 'third_party/cpuinfo'
2025-03-14T04:05:00.5308348Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cpuinfo/config	remote.origin.url
2025-03-14T04:05:00.5323522Z Entering 'third_party/cudnn_frontend'
2025-03-14T04:05:00.5369052Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cudnn_frontend/config	remote.origin.url
2025-03-14T04:05:00.5383053Z Entering 'third_party/cutlass'
2025-03-14T04:05:00.5429980Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cutlass/config	remote.origin.url
2025-03-14T04:05:00.5454832Z Entering 'third_party/eigen'
2025-03-14T04:05:00.5500914Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/eigen/config	remote.origin.url
2025-03-14T04:05:00.5517670Z Entering 'third_party/fbgemm'
2025-03-14T04:05:00.5563669Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/config	remote.origin.url
2025-03-14T04:05:00.5578956Z Entering 'third_party/fbgemm/third_party/asmjit'
2025-03-14T04:05:00.5623601Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/third_party/asmjit/config	remote.origin.url
2025-03-14T04:05:00.5637800Z Entering 'third_party/fbgemm/third_party/cpuinfo'
2025-03-14T04:05:00.5683561Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/third_party/cpuinfo/config	remote.origin.url
2025-03-14T04:05:00.5698243Z Entering 'third_party/fbgemm/third_party/cutlass'
2025-03-14T04:05:00.5744171Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/third_party/cutlass/config	remote.origin.url
2025-03-14T04:05:00.5765461Z Entering 'third_party/fbgemm/third_party/googletest'
2025-03-14T04:05:00.5811074Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/third_party/googletest/config	remote.origin.url
2025-03-14T04:05:00.5826345Z Entering 'third_party/fbgemm/third_party/hipify_torch'
2025-03-14T04:05:00.5870873Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/third_party/hipify_torch/config	remote.origin.url
2025-03-14T04:05:00.5886193Z Entering 'third_party/flash-attention'
2025-03-14T04:05:00.5932656Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/config	remote.origin.url
2025-03-14T04:05:00.5947958Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-03-14T04:05:00.5993378Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/composable_kernel/config	remote.origin.url
2025-03-14T04:05:00.6014395Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-03-14T04:05:00.6059761Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/cutlass/config	remote.origin.url
2025-03-14T04:05:00.6084206Z Entering 'third_party/flatbuffers'
2025-03-14T04:05:00.6130802Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flatbuffers/config	remote.origin.url
2025-03-14T04:05:00.6148344Z Entering 'third_party/fmt'
2025-03-14T04:05:00.6194594Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fmt/config	remote.origin.url
2025-03-14T04:05:00.6210161Z Entering 'third_party/gemmlowp/gemmlowp'
2025-03-14T04:05:00.6255370Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/gemmlowp/gemmlowp/config	remote.origin.url
2025-03-14T04:05:00.6270611Z Entering 'third_party/gloo'
2025-03-14T04:05:00.6316471Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/gloo/config	remote.origin.url
2025-03-14T04:05:00.6331792Z Entering 'third_party/googletest'
2025-03-14T04:05:00.6377929Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/googletest/config	remote.origin.url
2025-03-14T04:05:00.6393520Z Entering 'third_party/ideep'
2025-03-14T04:05:00.6440088Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/config	remote.origin.url
2025-03-14T04:05:00.6454344Z Entering 'third_party/ideep/mkl-dnn'
2025-03-14T04:05:00.6499302Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/modules/mkl-dnn/config	remote.origin.url
2025-03-14T04:05:00.6522248Z Entering 'third_party/ittapi'
2025-03-14T04:05:00.6568268Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ittapi/config	remote.origin.url
2025-03-14T04:05:00.6584694Z Entering 'third_party/kineto'
2025-03-14T04:05:00.6630725Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/config	remote.origin.url
2025-03-14T04:05:00.6645510Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-03-14T04:05:00.6692541Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/config	remote.origin.url
2025-03-14T04:05:00.6706232Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-03-14T04:05:00.6752811Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/DCGM/config	remote.origin.url
2025-03-14T04:05:00.6769337Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-03-14T04:05:00.6814747Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/cpr/config	remote.origin.url
2025-03-14T04:05:00.6829071Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-03-14T04:05:00.6874830Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/fmt/config	remote.origin.url
2025-03-14T04:05:00.6888676Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-03-14T04:05:00.6934873Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/config	remote.origin.url
2025-03-14T04:05:00.6948210Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-03-14T04:05:00.6995509Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/modules/doc/config	remote.origin.url
2025-03-14T04:05:00.7011544Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-03-14T04:05:00.7057062Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/glog/config	remote.origin.url
2025-03-14T04:05:00.7071868Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-03-14T04:05:00.7118245Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/googletest/config	remote.origin.url
2025-03-14T04:05:00.7132559Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-03-14T04:05:00.7178065Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/json/config	remote.origin.url
2025-03-14T04:05:00.7193141Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-03-14T04:05:00.7238738Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/pfs/config	remote.origin.url
2025-03-14T04:05:00.7254280Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-03-14T04:05:00.7299630Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/fmt/config	remote.origin.url
2025-03-14T04:05:00.7313403Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-03-14T04:05:00.7357726Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/googletest/config	remote.origin.url
2025-03-14T04:05:00.7374156Z Entering 'third_party/kleidiai'
2025-03-14T04:05:00.7419081Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kleidiai/config	remote.origin.url
2025-03-14T04:05:00.7434910Z Entering 'third_party/mimalloc'
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2025-03-14T04:05:00.7874583Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/googletest/config	remote.origin.url
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2025-03-14T04:05:00.7992992Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/nlohmann-json/config	remote.origin.url
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2025-03-14T04:05:00.8053042Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentelemetry-proto/config	remote.origin.url
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2025-03-14T04:05:00.8293917Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/googletest/config	remote.origin.url
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2025-03-14T04:05:01.6001955Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-03-14T04:05:01.6042707Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-03-14T04:05:01.6086909Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-03-14T04:05:01.6126058Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-03-14T04:05:01.6171465Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-03-14T04:05:01.6235432Z Entering 'third_party/pocketfft'
2025-03-14T04:05:01.6274692Z Entering 'third_party/protobuf'
2025-03-14T04:05:01.6316136Z Entering 'third_party/protobuf/third_party/benchmark'
2025-03-14T04:05:01.6353452Z Entering 'third_party/protobuf/third_party/googletest'
2025-03-14T04:05:01.6393311Z Entering 'third_party/psimd'
2025-03-14T04:05:01.6431617Z Entering 'third_party/pthreadpool'
2025-03-14T04:05:01.6470815Z Entering 'third_party/pybind11'
2025-03-14T04:05:01.6509183Z Entering 'third_party/python-peachpy'
2025-03-14T04:05:01.6546528Z Entering 'third_party/sleef'
2025-03-14T04:05:01.6585582Z Entering 'third_party/tensorpipe'
2025-03-14T04:05:01.6623357Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-03-14T04:05:01.6659890Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-03-14T04:05:01.6697027Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-03-14T04:05:01.6733192Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-03-14T04:05:01.6769800Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-03-14T04:05:01.6818760Z ##[endgroup]
2025-03-14T04:05:01.6850107Z [command]/usr/bin/git log -1 --format=%H
2025-03-14T04:05:01.6869858Z aed0b7a742a2d7b7901790622829cbd2135049a4
2025-03-14T04:05:01.7044365Z Prepare all required actions
2025-03-14T04:05:01.7045020Z Getting action download info
2025-03-14T04:05:01.8050966Z ##[group]Run ./.github/actions/setup-linux
2025-03-14T04:05:01.8051318Z env:
2025-03-14T04:05:01.8051564Z   GIT_DEFAULT_BRANCH: main
2025-03-14T04:05:01.8051872Z ##[endgroup]
2025-03-14T04:05:01.8095686Z ##[group]Run set -euo pipefail
2025-03-14T04:05:01.8096101Z set -euo pipefail
2025-03-14T04:05:01.8096434Z function get_ec2_metadata() {
2025-03-14T04:05:01.8096856Z   # Pulled from instance metadata endpoint for EC2
2025-03-14T04:05:01.8097543Z   # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
2025-03-14T04:05:01.8098156Z   category=$1
2025-03-14T04:05:01.8098556Z   # If it is GCP runner (runner name contains gcp), do not run this
2025-03-14T04:05:01.8099037Z   runner_name_str=i-027acbcd25a060095
2025-03-14T04:05:01.8099453Z   if [[ -f /.inarc ]]; then
2025-03-14T04:05:01.8099840Z     echo "ARC Runner, no info on ec2 metadata"
2025-03-14T04:05:01.8100273Z   elif [[ $runner_name_str == *"gcp"* ]]; then
2025-03-14T04:05:01.8100788Z     echo "Runner is from Google Cloud Platform, No info on ec2 metadata"
2025-03-14T04:05:01.8101274Z   else
2025-03-14T04:05:01.8102201Z     curl -H "X-aws-ec2-metadata-token: $(curl -s -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 30")" -fsSL "http://169.254.169.254/latest/meta-data/${category}"
2025-03-14T04:05:01.8103176Z   fi
2025-03-14T04:05:01.8103419Z }
2025-03-14T04:05:01.8103714Z echo "ami-id: $(get_ec2_metadata ami-id)"
2025-03-14T04:05:01.8104183Z echo "instance-id: $(get_ec2_metadata instance-id)"
2025-03-14T04:05:01.8104708Z echo "instance-type: $(get_ec2_metadata instance-type)"
2025-03-14T04:05:01.8105165Z echo "system info $(uname -a)"
2025-03-14T04:05:01.8112157Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-14T04:05:01.8112573Z env:
2025-03-14T04:05:01.8112815Z   GIT_DEFAULT_BRANCH: main
2025-03-14T04:05:01.8113105Z ##[endgroup]
2025-03-14T04:05:01.8239568Z ami-id: ami-05b10e08d247fb927
2025-03-14T04:05:01.8329352Z instance-id: i-027acbcd25a060095
2025-03-14T04:05:01.8415536Z instance-type: c5.2xlarge
2025-03-14T04:05:01.8424677Z system info Linux ip-10-1-55-79.ec2.internal 6.1.128-136.201.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Mon Feb 10 16:18:01 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux
2025-03-14T04:05:01.8449146Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-03-14T04:05:01.8450148Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-03-14T04:05:01.8456117Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-14T04:05:01.8456548Z env:
2025-03-14T04:05:01.8456801Z   GIT_DEFAULT_BRANCH: main
2025-03-14T04:05:01.8457095Z ##[endgroup]
2025-03-14T04:05:01.8509210Z ##[group]Run if systemctl is-active --quiet docker; then
2025-03-14T04:05:01.8509700Z if systemctl is-active --quiet docker; then
2025-03-14T04:05:01.8510239Z     echo "Docker daemon is running...";
2025-03-14T04:05:01.8510603Z else
2025-03-14T04:05:01.8510990Z     echo "Starting docker deamon..." && sudo systemctl start docker;
2025-03-14T04:05:01.8511456Z fi
2025-03-14T04:05:01.8516825Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-14T04:05:01.8517240Z env:
2025-03-14T04:05:01.8517485Z   GIT_DEFAULT_BRANCH: main
2025-03-14T04:05:01.8517775Z ##[endgroup]
2025-03-14T04:05:01.8583027Z Docker daemon is running...
2025-03-14T04:05:01.8624163Z ##[group]Run nick-fields/retry@v3.0.0
2025-03-14T04:05:01.8624491Z with:
2025-03-14T04:05:01.8624727Z   shell: bash
2025-03-14T04:05:01.8625137Z   timeout_minutes: 5
2025-03-14T04:05:01.8625416Z   max_attempts: 3
2025-03-14T04:05:01.8625696Z   retry_wait_seconds: 30
2025-03-14T04:05:01.8628117Z   command: AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\")
aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \
    --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com"

# For LF Runners we need to make sure we also login to Meta's ECR docker registry too.
META_AWS_ACCOUNT_ID=308535385114
if [ "$AWS_ACCOUNT_ID" != "$META_AWS_ACCOUNT_ID" ] ; then
    aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \
        --password-stdin "$META_AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com"
fi

2025-03-14T04:05:01.8630591Z   polling_interval_seconds: 1
2025-03-14T04:05:01.8630912Z   warning_on_retry: true
2025-03-14T04:05:01.8631209Z   continue_on_error: false
2025-03-14T04:05:01.8631494Z env:
2025-03-14T04:05:01.8631738Z   GIT_DEFAULT_BRANCH: main
2025-03-14T04:05:01.8632032Z   AWS_RETRY_MODE: standard
2025-03-14T04:05:01.8632312Z   AWS_MAX_ATTEMPTS: 5
2025-03-14T04:05:01.8632600Z   AWS_DEFAULT_REGION: us-east-1
2025-03-14T04:05:01.8632907Z ##[endgroup]
2025-03-14T04:05:03.0285336Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-03-14T04:05:03.0286148Z Configure a credential helper to remove this warning. See
2025-03-14T04:05:03.0286807Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-03-14T04:05:03.0287223Z 
2025-03-14T04:05:03.0287344Z Login Succeeded
2025-03-14T04:05:03.5603232Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-03-14T04:05:03.5603913Z Configure a credential helper to remove this warning. See
2025-03-14T04:05:03.5604716Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-03-14T04:05:03.5605159Z 
2025-03-14T04:05:03.5605265Z Login Succeeded
2025-03-14T04:05:03.9458587Z Command completed after 1 attempt(s).
2025-03-14T04:05:03.9515462Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-03-14T04:05:03.9516050Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-03-14T04:05:03.9516554Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-03-14T04:05:03.9522520Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-14T04:05:03.9522938Z env:
2025-03-14T04:05:03.9523186Z   GIT_DEFAULT_BRANCH: main
2025-03-14T04:05:03.9523479Z ##[endgroup]
2025-03-14T04:05:03.9606889Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-03-14T04:05:03.9607508Z # ignore expansion of "docker ps -q" since it could be empty
2025-03-14T04:05:03.9607974Z # shellcheck disable=SC2046
2025-03-14T04:05:03.9608342Z docker stop $(docker ps -q) || true
2025-03-14T04:05:03.9608727Z # Prune all of the docker images
2025-03-14T04:05:03.9609113Z docker system prune -af
2025-03-14T04:05:03.9614534Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-14T04:05:03.9614951Z env:
2025-03-14T04:05:03.9615200Z   GIT_DEFAULT_BRANCH: main
2025-03-14T04:05:03.9615493Z ##[endgroup]
2025-03-14T04:05:03.9849219Z "docker stop" requires at least 1 argument.
2025-03-14T04:05:03.9849927Z See 'docker stop --help'.
2025-03-14T04:05:03.9850135Z 
2025-03-14T04:05:03.9850316Z Usage:  docker stop [OPTIONS] CONTAINER [CONTAINER...]
2025-03-14T04:05:03.9850622Z 
2025-03-14T04:05:03.9850747Z Stop one or more running containers
2025-03-14T04:05:03.9971238Z Total reclaimed space: 0B
2025-03-14T04:05:04.0005162Z ##[group]Run set +e
2025-03-14T04:05:04.0005486Z set +e
2025-03-14T04:05:04.0005747Z set -x
2025-03-14T04:05:04.0005999Z 
2025-03-14T04:05:04.0006259Z PT_DOMAIN=download.pytorch.org
2025-03-14T04:05:04.0006886Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400,
2025-03-14T04:05:04.0007865Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last
2025-03-14T04:05:04.0008449Z # one is returned at random
2025-03-14T04:05:04.0008884Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1)
2025-03-14T04:05:04.0009321Z 
2025-03-14T04:05:04.0009583Z if [ -z "${RESOLVED_IP}" ]; then
2025-03-14T04:05:04.0010056Z   echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..."
2025-03-14T04:05:04.0010626Z   RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1)
2025-03-14T04:05:04.0011056Z 
2025-03-14T04:05:04.0011321Z   if [ -z "${RESOLVED_IP}" ]; then
2025-03-14T04:05:04.0011743Z     echo "Couldn't resolve ${PT_DOMAIN}, exiting..."
2025-03-14T04:05:04.0012143Z     exit 1
2025-03-14T04:05:04.0012403Z   fi
2025-03-14T04:05:04.0012642Z fi
2025-03-14T04:05:04.0012875Z 
2025-03-14T04:05:04.0013167Z if grep -r "${PT_DOMAIN}" /etc/hosts; then
2025-03-14T04:05:04.0013569Z   # Clean up any old records first
2025-03-14T04:05:04.0013961Z   sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts
2025-03-14T04:05:04.0014318Z fi
2025-03-14T04:05:04.0014555Z 
2025-03-14T04:05:04.0014906Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts
2025-03-14T04:05:04.0015341Z cat /etc/hosts
2025-03-14T04:05:04.0021104Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-14T04:05:04.0021520Z env:
2025-03-14T04:05:04.0021766Z   GIT_DEFAULT_BRANCH: main
2025-03-14T04:05:04.0022048Z ##[endgroup]
2025-03-14T04:05:04.0045316Z + PT_DOMAIN=download.pytorch.org
2025-03-14T04:05:04.0050556Z ++ dig -4 +short download.pytorch.org
2025-03-14T04:05:04.0051191Z ++ tail -n1
2025-03-14T04:05:04.0279783Z + RESOLVED_IP=18.160.10.22
2025-03-14T04:05:04.0280407Z + '[' -z 18.160.10.22 ']'
2025-03-14T04:05:04.0280818Z + grep -r download.pytorch.org /etc/hosts
2025-03-14T04:05:04.0290907Z 18.160.10.36 download.pytorch.org
2025-03-14T04:05:04.0291798Z + sudo sed -i /download.pytorch.org/d /etc/hosts
2025-03-14T04:05:04.3589983Z + echo '18.160.10.22 download.pytorch.org'
2025-03-14T04:05:04.3590439Z + sudo tee -a /etc/hosts
2025-03-14T04:05:04.4652114Z 18.160.10.22 download.pytorch.org
2025-03-14T04:05:04.4666640Z + cat /etc/hosts
2025-03-14T04:05:04.4675069Z 127.0.0.1   localhost localhost.localdomain localhost4 localhost4.localdomain4
2025-03-14T04:05:04.4681944Z ::1         localhost6 localhost6.localdomain6
2025-03-14T04:05:04.4682374Z 18.160.10.22 download.pytorch.org
2025-03-14T04:05:04.4848331Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main
2025-03-14T04:05:04.4848841Z with:
2025-03-14T04:05:04.4849561Z   docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.13-clang10:aa89d6e739080d90fa18625d57297c6734465849
2025-03-14T04:05:04.4850385Z   docker-build-dir: .ci/docker
2025-03-14T04:05:04.4850705Z   working-directory: .
2025-03-14T04:05:04.4851092Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-14T04:05:04.4851528Z   force-push: false
2025-03-14T04:05:04.4851789Z env:
2025-03-14T04:05:04.4852033Z   GIT_DEFAULT_BRANCH: main
2025-03-14T04:05:04.4852445Z ##[endgroup]
2025-03-14T04:05:04.4876541Z ##[group]Run set -ex
2025-03-14T04:05:04.4876877Z set -ex
2025-03-14T04:05:04.4877119Z 
2025-03-14T04:05:04.4877557Z # If the docker build directory or the build script doesn't exist, the action will
2025-03-14T04:05:04.4878332Z # gracefully return the docker image name as it is.  Pulling docker image in Linux
2025-03-14T04:05:04.4878956Z # job could then download the pre-built image as usual
2025-03-14T04:05:04.4879521Z if [[ ! -d "${DOCKER_BUILD_DIR}" ]] || [[ ! -f "${DOCKER_BUILD_DIR}/build.sh" ]]; then
2025-03-14T04:05:04.4880033Z   echo "skip=true" >> "${GITHUB_OUTPUT}"
2025-03-14T04:05:04.4880524Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-03-14T04:05:04.4880970Z 
2025-03-14T04:05:04.4881362Z   echo "There is no Docker build script in ${REPO_NAME} repo, skipping..."
2025-03-14T04:05:04.4881843Z   exit 0
2025-03-14T04:05:04.4882112Z else
2025-03-14T04:05:04.4882396Z   echo "skip=false" >> "${GITHUB_OUTPUT}"
2025-03-14T04:05:04.4882754Z fi
2025-03-14T04:05:04.4882994Z 
2025-03-14T04:05:04.4883364Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then
2025-03-14T04:05:04.4884019Z   # The docker image name already includes the ECR prefix and tag, so we can just
2025-03-14T04:05:04.4884600Z   # use it as it is, but first let's extract the tag
2025-03-14T04:05:04.4885127Z   DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}')
2025-03-14T04:05:04.4885676Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-03-14T04:05:04.4886207Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-03-14T04:05:04.4886655Z else
2025-03-14T04:05:04.4886999Z   DOCKER_TAG=$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}")
2025-03-14T04:05:04.4887497Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-03-14T04:05:04.4888188Z   echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-03-14T04:05:04.4888794Z fi
2025-03-14T04:05:04.4896856Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-14T04:05:04.4897274Z env:
2025-03-14T04:05:04.4897520Z   GIT_DEFAULT_BRANCH: main
2025-03-14T04:05:04.4897817Z   REPO_NAME: pytorch
2025-03-14T04:05:04.4898563Z   DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.13-clang10:aa89d6e739080d90fa18625d57297c6734465849
2025-03-14T04:05:04.4899369Z   DOCKER_BUILD_DIR: .ci/docker
2025-03-14T04:05:04.4899776Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-14T04:05:04.4900204Z ##[endgroup]
2025-03-14T04:05:04.4923544Z + [[ ! -d .ci/docker ]]
2025-03-14T04:05:04.4923865Z + [[ ! -f .ci/docker/build.sh ]]
2025-03-14T04:05:04.4924186Z + echo skip=false
2025-03-14T04:05:04.4925216Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.13-clang10:aa89d6e739080d90fa18625d57297c6734465849 == *\3\0\8\5\3\5\3\8\5\1\1\4\.\d\k\r\.\e\c\r\.\u\s\-\e\a\s\t\-\1\.\a\m\a\z\o\n\a\w\s\.\c\o\m\/\p\y\t\o\r\c\h* ]]
2025-03-14T04:05:04.4930774Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.13-clang10:aa89d6e739080d90fa18625d57297c6734465849
2025-03-14T04:05:04.4931579Z ++ awk -F '[:,]' '{print $2}'
2025-03-14T04:05:04.4949498Z + DOCKER_TAG=aa89d6e739080d90fa18625d57297c6734465849
2025-03-14T04:05:04.4949987Z + echo docker-tag=aa89d6e739080d90fa18625d57297c6734465849
2025-03-14T04:05:04.4950871Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.13-clang10:aa89d6e739080d90fa18625d57297c6734465849
2025-03-14T04:05:04.4979127Z ##[group]Run set +e
2025-03-14T04:05:04.4979459Z set +e
2025-03-14T04:05:04.4979719Z set -x
2025-03-14T04:05:04.4979972Z 
2025-03-14T04:05:04.4980337Z login() {
2025-03-14T04:05:04.4980859Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-03-14T04:05:04.4981420Z }
2025-03-14T04:05:04.4981658Z 
2025-03-14T04:05:04.4981894Z retry () {
2025-03-14T04:05:04.4982201Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-03-14T04:05:04.4982550Z }
2025-03-14T04:05:04.4982786Z 
2025-03-14T04:05:04.4983037Z retry login "${DOCKER_REGISTRY}"
2025-03-14T04:05:04.4983379Z 
2025-03-14T04:05:04.4983626Z START_TIME=$(date +%s)
2025-03-14T04:05:04.4983950Z # Wait up to 120 minutes
2025-03-14T04:05:04.4984346Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do
2025-03-14T04:05:04.4984878Z   # Check if image already exists, if it does then skip building it
2025-03-14T04:05:04.4985414Z   if docker manifest inspect "${DOCKER_IMAGE}"; then
2025-03-14T04:05:04.4985816Z     exit 0
2025-03-14T04:05:04.4986077Z   fi
2025-03-14T04:05:04.4986323Z 
2025-03-14T04:05:04.4986745Z   # NB: This flag is used by Docker build workflow to push the image to ECR, so we can
2025-03-14T04:05:04.4987467Z   # use this to differentiate between the Docker build and regular build jobs. For the
2025-03-14T04:05:04.4988186Z   # latter, it will wait for the Docker images to become available before continuing
2025-03-14T04:05:04.4988755Z   if [ "${DOCKER_PUSH:-false}" == "true" ]; then
2025-03-14T04:05:04.4989196Z     # It's a Docker build job, let's build the image
2025-03-14T04:05:04.4989581Z     break
2025-03-14T04:05:04.4989849Z   else
2025-03-14T04:05:04.4990229Z     # It's a regular build job, wait for the image to become available
2025-03-14T04:05:04.4990693Z     sleep 300
2025-03-14T04:05:04.4990973Z   fi
2025-03-14T04:05:04.4991227Z done
2025-03-14T04:05:04.4991469Z 
2025-03-14T04:05:04.4991850Z # NB: This part requires a full checkout. Otherwise, the merge base will
2025-03-14T04:05:04.4992466Z # be empty.  The default action would be to continue rebuild the image
2025-03-14T04:05:04.4993017Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then
2025-03-14T04:05:04.4993509Z   # if we're on the base branch then use the parent commit
2025-03-14T04:05:04.4993948Z   MERGE_BASE=$(git rev-parse HEAD~)
2025-03-14T04:05:04.4994296Z else
2025-03-14T04:05:04.4994655Z   # otherwise we're on a PR, so use the most recent base commit
2025-03-14T04:05:04.4995270Z   MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION")
2025-03-14T04:05:04.4995672Z fi
2025-03-14T04:05:04.4995914Z 
2025-03-14T04:05:04.4996175Z if [[ -z "${MERGE_BASE}" ]]; then
2025-03-14T04:05:04.4996567Z   echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-03-14T04:05:04.4996938Z 
2025-03-14T04:05:04.4997442Z   echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..."
2025-03-14T04:05:04.4998034Z   exit 0
2025-03-14T04:05:04.4998284Z fi
2025-03-14T04:05:04.4998639Z 
2025-03-14T04:05:04.4998980Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then
2025-03-14T04:05:04.4999712Z   echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit"
2025-03-14T04:05:04.5000353Z   exit 1
2025-03-14T04:05:04.5000609Z fi
2025-03-14T04:05:04.5000850Z 
2025-03-14T04:05:04.5001251Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}")
2025-03-14T04:05:04.5001958Z # If no image exists but the hash is the same as the previous hash then we should error out here
2025-03-14T04:05:04.5002597Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then
2025-03-14T04:05:04.5003394Z   echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch"
2025-03-14T04:05:04.5004218Z   echo "         Will re-build docker image to store in local cache, TTS may be longer"
2025-03-14T04:05:04.5004715Z fi
2025-03-14T04:05:04.5004952Z 
2025-03-14T04:05:04.5005231Z echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-03-14T04:05:04.5010811Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-14T04:05:04.5011224Z env:
2025-03-14T04:05:04.5011471Z   GIT_DEFAULT_BRANCH: main
2025-03-14T04:05:04.5011763Z   DOCKER_BUILD_DIR: .ci/docker
2025-03-14T04:05:04.5012178Z   BASE_REVISION: aed0b7a742a2d7b7901790622829cbd2135049a4
2025-03-14T04:05:04.5013027Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.13-clang10:aa89d6e739080d90fa18625d57297c6734465849
2025-03-14T04:05:04.5013865Z   DOCKER_TAG: aa89d6e739080d90fa18625d57297c6734465849
2025-03-14T04:05:04.5014343Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-14T04:05:04.5014766Z   DOCKER_PUSH: 
2025-03-14T04:05:04.5015020Z ##[endgroup]
2025-03-14T04:05:04.5036955Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-14T04:05:04.5037439Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-14T04:05:04.5039720Z + aws ecr get-login-password --region us-east-1
2025-03-14T04:05:04.5041163Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-14T04:05:05.0287240Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-03-14T04:05:05.0287903Z Configure a credential helper to remove this warning. See
2025-03-14T04:05:05.0288552Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-03-14T04:05:05.0289201Z 
2025-03-14T04:05:05.0289402Z Login Succeeded
2025-03-14T04:05:05.0307865Z ++ date +%s
2025-03-14T04:05:05.0315613Z + START_TIME=1741925105
2025-03-14T04:05:05.0319298Z ++ date +%s
2025-03-14T04:05:05.0327167Z + [[ 1741917905 -lt 1741925105 ]]
2025-03-14T04:05:05.0328602Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.13-clang10:aa89d6e739080d90fa18625d57297c6734465849
2025-03-14T04:05:05.2712854Z {
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2025-03-14T04:05:05.2714623Z 	"config": {
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2025-03-14T04:05:05.2737659Z 		},
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2025-03-14T04:05:05.2739649Z 		},
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2025-03-14T04:05:05.2845421Z 		},
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2025-03-14T04:05:05.2873340Z 		},
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2025-03-14T04:05:05.2875383Z 		},
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2025-03-14T04:05:05.2962349Z 			"size": 32,
2025-03-14T04:05:05.2962793Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-03-14T04:05:05.2963303Z 		},
2025-03-14T04:05:05.2963520Z 		{
2025-03-14T04:05:05.2963872Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-14T04:05:05.2964324Z 			"size": 157,
2025-03-14T04:05:05.2964614Z + exit 0
2025-03-14T04:05:05.2965036Z 			"digest": "sha256:702b72d020bb3cbe998d09097942712eda977c28ef6d04371f5cc1b25d2fb3f6"
2025-03-14T04:05:05.2965541Z 		},
2025-03-14T04:05:05.2965760Z 		{
2025-03-14T04:05:05.2966100Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-14T04:05:05.2966556Z 			"size": 1486,
2025-03-14T04:05:05.2967171Z 			"digest": "sha256:21479af96a39d03a1754a8b05684afb54ce216e0a2be2ca31a4115ef0c2aabcc"
2025-03-14T04:05:05.2967688Z 		},
2025-03-14T04:05:05.2967904Z 		{
2025-03-14T04:05:05.2968262Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-14T04:05:05.2968717Z 			"size": 32,
2025-03-14T04:05:05.2969157Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-03-14T04:05:05.2969662Z 		},
2025-03-14T04:05:05.2969873Z 		{
2025-03-14T04:05:05.2970223Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-14T04:05:05.2970800Z 			"size": 136,
2025-03-14T04:05:05.2971250Z 			"digest": "sha256:ea88b7068e4fc132b38fd2e5dc62729b7bc5e34d7204fc91d3b23953fa06bceb"
2025-03-14T04:05:05.2971759Z 		},
2025-03-14T04:05:05.2971975Z 		{
2025-03-14T04:05:05.2972329Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-14T04:05:05.2972780Z 			"size": 380,
2025-03-14T04:05:05.2973213Z 			"digest": "sha256:78b28fc0ca8228f6c3f36c4c08f00bde8accb5393e34dc0bb631fa78a0357331"
2025-03-14T04:05:05.2973722Z 		},
2025-03-14T04:05:05.2973937Z 		{
2025-03-14T04:05:05.2974293Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-14T04:05:05.2974742Z 			"size": 32,
2025-03-14T04:05:05.2975182Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-03-14T04:05:05.2975777Z 		},
2025-03-14T04:05:05.2975993Z 		{
2025-03-14T04:05:05.2976350Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-14T04:05:05.2976797Z 			"size": 104,
2025-03-14T04:05:05.2977235Z 			"digest": "sha256:ef7783cc3f879a80a8d272eb89621a617d893505c068983041d5a03c3a1a229c"
2025-03-14T04:05:05.2977736Z 		},
2025-03-14T04:05:05.2977949Z 		{
2025-03-14T04:05:05.2978306Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-14T04:05:05.2978752Z 			"size": 1899,
2025-03-14T04:05:05.2979210Z 			"digest": "sha256:c706ce4bc239c216e5dc1cff9a5317045a764fe71946b2fcaba1605c94d4fe44"
2025-03-14T04:05:05.2979722Z 		},
2025-03-14T04:05:05.2979932Z 		{
2025-03-14T04:05:05.2980287Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-14T04:05:05.2980742Z 			"size": 234806516,
2025-03-14T04:05:05.2981203Z 			"digest": "sha256:3cbcaa230a48f1928daeecb346b6983b65fb479e35f88c760297157c89167fbe"
2025-03-14T04:05:05.2981720Z 		},
2025-03-14T04:05:05.2981943Z 		{
2025-03-14T04:05:05.2982305Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-14T04:05:05.2982756Z 			"size": 106,
2025-03-14T04:05:05.2983209Z 			"digest": "sha256:c4467d3184270ce9fbd4ecde8971ba8bb0d9156f3fb300bb29c8e87d32f1bf07"
2025-03-14T04:05:05.2983724Z 		},
2025-03-14T04:05:05.2983945Z 		{
2025-03-14T04:05:05.2984305Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-14T04:05:05.2984749Z 			"size": 165,
2025-03-14T04:05:05.2985193Z 			"digest": "sha256:0e0314e23cf1e0a0e157747a7e37d8296bf23f5d518fbef2d5bf4a8cdba07461"
2025-03-14T04:05:05.2985702Z 		},
2025-03-14T04:05:05.2985905Z 		{
2025-03-14T04:05:05.2986258Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-14T04:05:05.2986708Z 			"size": 7943,
2025-03-14T04:05:05.2987153Z 			"digest": "sha256:358e887b5af9808eae2ce637e95799209ebd8ec45f07fa67fe5a0d8b8a1e71b8"
2025-03-14T04:05:05.2987661Z 		},
2025-03-14T04:05:05.2987876Z 		{
2025-03-14T04:05:05.2988228Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-14T04:05:05.2988674Z 			"size": 8067,
2025-03-14T04:05:05.2989105Z 			"digest": "sha256:11857a6b785113e5d3abc950151f3264e143818f315c332c1a8bb0bca77b6a2c"
2025-03-14T04:05:05.2989605Z 		},
2025-03-14T04:05:05.2989818Z 		{
2025-03-14T04:05:05.2990168Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-14T04:05:05.2990615Z 			"size": 304,
2025-03-14T04:05:05.2991054Z 			"digest": "sha256:8e789f6566610685eddbd59f5579c8da8b23cb7eeff85719ab7633c4bafb4d87"
2025-03-14T04:05:05.2991560Z 		},
2025-03-14T04:05:05.2991775Z 		{
2025-03-14T04:05:05.2992129Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-14T04:05:05.2992565Z 			"size": 32,
2025-03-14T04:05:05.2993003Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-03-14T04:05:05.2993508Z 		},
2025-03-14T04:05:05.2993726Z 		{
2025-03-14T04:05:05.2994079Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-14T04:05:05.2994527Z 			"size": 108,
2025-03-14T04:05:05.2994959Z 			"digest": "sha256:8f116d3e883b024c04e368279121d95f3ee6856318135140ac97daad5cdaf463"
2025-03-14T04:05:05.2995551Z 		},
2025-03-14T04:05:05.2995854Z 		{
2025-03-14T04:05:05.2996216Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-14T04:05:05.2996670Z 			"size": 54145664,
2025-03-14T04:05:05.2997133Z 			"digest": "sha256:b21e2d445d94ba8705ac9bb6100d937a194fe7b439ce5f2c3b40255f0cfed309"
2025-03-14T04:05:05.2997646Z 		},
2025-03-14T04:05:05.2997865Z 		{
2025-03-14T04:05:05.2998222Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-14T04:05:05.2998670Z 			"size": 32,
2025-03-14T04:05:05.2999099Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-03-14T04:05:05.2999606Z 		}
2025-03-14T04:05:05.2999819Z 	]
2025-03-14T04:05:05.3000137Z }
2025-03-14T04:05:05.3037182Z ##[group]Run set -eux
2025-03-14T04:05:05.3037499Z set -eux
2025-03-14T04:05:05.3038454Z aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token | jq --raw-output '.SecretString' | jq -r .docker_hub_readonly_token | docker login --username pytorchbot --password-stdin
2025-03-14T04:05:05.3045341Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-14T04:05:05.3045758Z env:
2025-03-14T04:05:05.3046006Z   GIT_DEFAULT_BRANCH: main
2025-03-14T04:05:05.3046296Z ##[endgroup]
2025-03-14T04:05:05.3072898Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token
2025-03-14T04:05:05.3073746Z + jq --raw-output .SecretString
2025-03-14T04:05:05.3074877Z + jq -r .docker_hub_readonly_token
2025-03-14T04:05:05.3076061Z + docker login --username pytorchbot --password-stdin
2025-03-14T04:05:05.9171718Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-03-14T04:05:05.9172485Z Configure a credential helper to remove this warning. See
2025-03-14T04:05:05.9173170Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-03-14T04:05:05.9173934Z 
2025-03-14T04:05:05.9174087Z Login Succeeded
2025-03-14T04:05:05.9306404Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*/}
2025-03-14T04:05:05.9306814Z tag=${ECR_DOCKER_IMAGE##*/}
2025-03-14T04:05:05.9307239Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}"
2025-03-14T04:05:05.9313086Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-14T04:05:05.9313502Z env:
2025-03-14T04:05:05.9313751Z   GIT_DEFAULT_BRANCH: main
2025-03-14T04:05:05.9314514Z   ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.13-clang10:aa89d6e739080d90fa18625d57297c6734465849
2025-03-14T04:05:05.9315400Z ##[endgroup]
2025-03-14T04:05:05.9340295Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-focal-py3.13-clang10-aa89d6e739080d90fa18625d57297c6734465849
2025-03-14T04:05:05.9424684Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main
2025-03-14T04:05:05.9425235Z with:
2025-03-14T04:05:05.9426477Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.13-clang10:aa89d6e739080d90fa18625d57297c6734465849
2025-03-14T04:05:05.9428062Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-14T04:05:05.9428549Z env:
2025-03-14T04:05:05.9428787Z   GIT_DEFAULT_BRANCH: main
2025-03-14T04:05:05.9429081Z ##[endgroup]
2025-03-14T04:05:05.9570472Z ##[group]Run set -x
2025-03-14T04:05:05.9570775Z set -x
2025-03-14T04:05:05.9571033Z set +e
2025-03-14T04:05:05.9571285Z 
2025-03-14T04:05:05.9571526Z login() {
2025-03-14T04:05:05.9572233Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-03-14T04:05:05.9573196Z }
2025-03-14T04:05:05.9573575Z 
2025-03-14T04:05:05.9574024Z retry () {
2025-03-14T04:05:05.9574474Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-03-14T04:05:05.9574822Z }
2025-03-14T04:05:05.9575053Z 
2025-03-14T04:05:05.9575310Z retry login "${DOCKER_REGISTRY}"
2025-03-14T04:05:05.9575647Z 
2025-03-14T04:05:05.9575878Z set -e
2025-03-14T04:05:05.9576238Z # ignore output since only exit code is used for conditional
2025-03-14T04:05:05.9576771Z # only pull docker image if it's not available locally
2025-03-14T04:05:05.9577361Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then
2025-03-14T04:05:05.9577901Z   retry docker pull "${DOCKER_IMAGE}"
2025-03-14T04:05:05.9578250Z fi
2025-03-14T04:05:05.9583849Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-14T04:05:05.9584251Z env:
2025-03-14T04:05:05.9584499Z   GIT_DEFAULT_BRANCH: main
2025-03-14T04:05:05.9585264Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.13-clang10:aa89d6e739080d90fa18625d57297c6734465849
2025-03-14T04:05:05.9586280Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-14T04:05:05.9586703Z ##[endgroup]
2025-03-14T04:05:05.9609929Z + set +e
2025-03-14T04:05:05.9610501Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-14T04:05:05.9611142Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-14T04:05:05.9613261Z + aws ecr get-login-password --region us-east-1
2025-03-14T04:05:05.9614556Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-14T04:05:06.4859906Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-03-14T04:05:06.4861062Z Configure a credential helper to remove this warning. See
2025-03-14T04:05:06.4861977Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-03-14T04:05:06.4862392Z 
2025-03-14T04:05:06.4862938Z Login Succeeded
2025-03-14T04:05:06.4873338Z + set -e
2025-03-14T04:05:06.4874455Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.13-clang10:aa89d6e739080d90fa18625d57297c6734465849
2025-03-14T04:05:06.4988599Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.13-clang10:aa89d6e739080d90fa18625d57297c6734465849
2025-03-14T04:05:06.4990606Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.13-clang10:aa89d6e739080d90fa18625d57297c6734465849
2025-03-14T04:05:06.9417215Z aa89d6e739080d90fa18625d57297c6734465849: Pulling from pytorch/pytorch-linux-focal-py3.13-clang10
2025-03-14T04:05:06.9451429Z 86e5016c2693: Pulling fs layer
2025-03-14T04:05:06.9453186Z b64eae0f9865: Pulling fs layer
2025-03-14T04:05:06.9453636Z fa6343415b98: Pulling fs layer
2025-03-14T04:05:06.9454003Z 403180670172: Pulling fs layer
2025-03-14T04:05:06.9454316Z 977f9685456c: Pulling fs layer
2025-03-14T04:05:06.9455012Z 0000d4c5345d: Pulling fs layer
2025-03-14T04:05:06.9455511Z cc49a6f5bbf9: Pulling fs layer
2025-03-14T04:05:06.9456025Z 955f46363639: Pulling fs layer
2025-03-14T04:05:06.9456523Z 176fd07a5b37: Pulling fs layer
2025-03-14T04:05:06.9457085Z 14c6878b88e1: Pulling fs layer
2025-03-14T04:05:06.9457586Z 44a2b2adb348: Pulling fs layer
2025-03-14T04:05:06.9458084Z 8d28e44b7173: Pulling fs layer
2025-03-14T04:05:06.9458587Z 977f9685456c: Waiting
2025-03-14T04:05:06.9458997Z 0aa1896ea194: Pulling fs layer
2025-03-14T04:05:06.9459404Z bd2cd6cca9d3: Pulling fs layer
2025-03-14T04:05:06.9459878Z 0000d4c5345d: Waiting
2025-03-14T04:05:06.9460302Z 4f4fb700ef54: Pulling fs layer
2025-03-14T04:05:06.9460792Z b1f6e7b115fa: Pulling fs layer
2025-03-14T04:05:06.9461272Z cc49a6f5bbf9: Waiting
2025-03-14T04:05:06.9461725Z fe5bda901c27: Pulling fs layer
2025-03-14T04:05:06.9462203Z 955f46363639: Waiting
2025-03-14T04:05:06.9462626Z 69d1681b54f4: Pulling fs layer
2025-03-14T04:05:06.9463159Z 176fd07a5b37: Waiting
2025-03-14T04:05:06.9463481Z 4e533c6a25a5: Pulling fs layer
2025-03-14T04:05:06.9463785Z 14c6878b88e1: Waiting
2025-03-14T04:05:06.9464060Z 8b0f88941fa0: Pulling fs layer
2025-03-14T04:05:06.9464366Z 44a2b2adb348: Waiting
2025-03-14T04:05:06.9464785Z 5e8b2a6cebeb: Pulling fs layer
2025-03-14T04:05:06.9465311Z 403180670172: Waiting
2025-03-14T04:05:06.9465764Z b7fb51dfb04b: Pulling fs layer
2025-03-14T04:05:06.9466228Z 8d28e44b7173: Waiting
2025-03-14T04:05:06.9466567Z b1f6e7b115fa: Waiting
2025-03-14T04:05:06.9467155Z 0aa1896ea194: Waiting
2025-03-14T04:05:06.9467600Z fe5bda901c27: Waiting
2025-03-14T04:05:06.9468036Z bd2cd6cca9d3: Waiting
2025-03-14T04:05:06.9468504Z 83ec6a063b6f: Pulling fs layer
2025-03-14T04:05:06.9469079Z 4f4fb700ef54: Waiting
2025-03-14T04:05:06.9469527Z 69d1681b54f4: Waiting
2025-03-14T04:05:06.9470004Z ffbfe8392dca: Pulling fs layer
2025-03-14T04:05:06.9470525Z 5e8b2a6cebeb: Waiting
2025-03-14T04:05:06.9471005Z 317c2ec95e89: Pulling fs layer
2025-03-14T04:05:06.9471513Z b7fb51dfb04b: Waiting
2025-03-14T04:05:06.9472236Z 08d87c988dc7: Pulling fs layer
2025-03-14T04:05:06.9472793Z 4e533c6a25a5: Waiting
2025-03-14T04:05:06.9473262Z 46a403bf2b51: Pulling fs layer
2025-03-14T04:05:06.9473742Z 83ec6a063b6f: Waiting
2025-03-14T04:05:06.9474017Z 8b0f88941fa0: Waiting
2025-03-14T04:05:06.9474300Z 567710e9eb36: Pulling fs layer
2025-03-14T04:05:06.9474615Z 8d6eb4d15a1e: Pulling fs layer
2025-03-14T04:05:06.9474919Z ffbfe8392dca: Waiting
2025-03-14T04:05:06.9475286Z 23e2930ed719: Pulling fs layer
2025-03-14T04:05:06.9475587Z 08d87c988dc7: Waiting
2025-03-14T04:05:06.9475853Z 317c2ec95e89: Waiting
2025-03-14T04:05:06.9476129Z 6775f1cd04ed: Pulling fs layer
2025-03-14T04:05:06.9476445Z 96b0e3c627d1: Pulling fs layer
2025-03-14T04:05:06.9476748Z 46a403bf2b51: Waiting
2025-03-14T04:05:06.9477012Z 567710e9eb36: Waiting
2025-03-14T04:05:06.9477286Z 169f1b4c983d: Pulling fs layer
2025-03-14T04:05:06.9477582Z 96b0e3c627d1: Waiting
2025-03-14T04:05:06.9477935Z 4cda9e9a6e26: Pulling fs layer
2025-03-14T04:05:06.9478258Z 1f9815b2b3b1: Pulling fs layer
2025-03-14T04:05:06.9478572Z fafa7442899b: Pulling fs layer
2025-03-14T04:05:06.9478871Z 4cda9e9a6e26: Waiting
2025-03-14T04:05:06.9479149Z 8ac10abfa1af: Pulling fs layer
2025-03-14T04:05:06.9479447Z 1f9815b2b3b1: Waiting
2025-03-14T04:05:06.9479719Z 07916ca736e8: Pulling fs layer
2025-03-14T04:05:06.9480017Z fafa7442899b: Waiting
2025-03-14T04:05:06.9480292Z 426b4781db6d: Pulling fs layer
2025-03-14T04:05:06.9480588Z 07916ca736e8: Waiting
2025-03-14T04:05:06.9480866Z 27916e7dfc6b: Pulling fs layer
2025-03-14T04:05:06.9481171Z 8ac10abfa1af: Waiting
2025-03-14T04:05:06.9481436Z 27916e7dfc6b: Waiting
2025-03-14T04:05:06.9481695Z 426b4781db6d: Waiting
2025-03-14T04:05:06.9481966Z f3d689fa4b30: Pulling fs layer
2025-03-14T04:05:06.9482262Z b3611088a559: Pulling fs layer
2025-03-14T04:05:06.9482558Z f3d689fa4b30: Waiting
2025-03-14T04:05:06.9482827Z 766763116b65: Pulling fs layer
2025-03-14T04:05:06.9483130Z 0e592153fa17: Pulling fs layer
2025-03-14T04:05:06.9483624Z d98195448b21: Pulling fs layer
2025-03-14T04:05:06.9483941Z 11b77c5e6a4c: Pulling fs layer
2025-03-14T04:05:06.9484250Z 09894530ccd2: Pulling fs layer
2025-03-14T04:05:06.9484565Z dd81d8b11712: Pulling fs layer
2025-03-14T04:05:06.9484874Z 61f09cfa492b: Pulling fs layer
2025-03-14T04:05:06.9485249Z b3611088a559: Waiting
2025-03-14T04:05:06.9485511Z 0e592153fa17: Waiting
2025-03-14T04:05:06.9485811Z d98195448b21: Waiting
2025-03-14T04:05:06.9486085Z 37f50b3c6dc5: Pulling fs layer
2025-03-14T04:05:06.9486381Z 11b77c5e6a4c: Waiting
2025-03-14T04:05:06.9486643Z 09894530ccd2: Waiting
2025-03-14T04:05:06.9486886Z 766763116b65: Waiting
2025-03-14T04:05:06.9487147Z dd81d8b11712: Waiting
2025-03-14T04:05:06.9487409Z 61f09cfa492b: Waiting
2025-03-14T04:05:06.9487684Z f4222d90a3b0: Pulling fs layer
2025-03-14T04:05:06.9487980Z 37f50b3c6dc5: Waiting
2025-03-14T04:05:06.9488252Z f0e09b868978: Pulling fs layer
2025-03-14T04:05:06.9488640Z f4222d90a3b0: Waiting
2025-03-14T04:05:06.9488915Z fea32805da6a: Pulling fs layer
2025-03-14T04:05:06.9489241Z e88ebc603e68: Pulling fs layer
2025-03-14T04:05:06.9489540Z f0e09b868978: Waiting
2025-03-14T04:05:06.9489805Z fea32805da6a: Waiting
2025-03-14T04:05:06.9490080Z 127286786396: Pulling fs layer
2025-03-14T04:05:06.9490374Z e88ebc603e68: Waiting
2025-03-14T04:05:06.9490656Z edffc976b12a: Pulling fs layer
2025-03-14T04:05:06.9490941Z 127286786396: Waiting
2025-03-14T04:05:06.9491220Z a9b1becf3ab8: Pulling fs layer
2025-03-14T04:05:06.9491525Z edffc976b12a: Waiting
2025-03-14T04:05:06.9491805Z 8d150e46d80d: Pulling fs layer
2025-03-14T04:05:06.9492116Z 702b72d020bb: Pulling fs layer
2025-03-14T04:05:06.9492424Z 21479af96a39: Pulling fs layer
2025-03-14T04:05:06.9492721Z 8d150e46d80d: Waiting
2025-03-14T04:05:06.9492981Z 702b72d020bb: Waiting
2025-03-14T04:05:06.9493255Z ea88b7068e4f: Pulling fs layer
2025-03-14T04:05:06.9493568Z 78b28fc0ca82: Pulling fs layer
2025-03-14T04:05:06.9493865Z 21479af96a39: Waiting
2025-03-14T04:05:06.9494141Z ef7783cc3f87: Pulling fs layer
2025-03-14T04:05:06.9494457Z c706ce4bc239: Pulling fs layer
2025-03-14T04:05:06.9494867Z 3cbcaa230a48: Pulling fs layer
2025-03-14T04:05:06.9495178Z c4467d318427: Pulling fs layer
2025-03-14T04:05:06.9495472Z 0e0314e23cf1: Pulling fs layer
2025-03-14T04:05:06.9495781Z 358e887b5af9: Pulling fs layer
2025-03-14T04:05:06.9496080Z ea88b7068e4f: Waiting
2025-03-14T04:05:06.9496347Z c706ce4bc239: Waiting
2025-03-14T04:05:06.9496617Z 11857a6b7851: Pulling fs layer
2025-03-14T04:05:06.9496921Z 8e789f656661: Pulling fs layer
2025-03-14T04:05:06.9497215Z 78b28fc0ca82: Waiting
2025-03-14T04:05:06.9497487Z 8f116d3e883b: Pulling fs layer
2025-03-14T04:05:06.9497783Z ef7783cc3f87: Waiting
2025-03-14T04:05:06.9498059Z b21e2d445d94: Pulling fs layer
2025-03-14T04:05:06.9498355Z 3cbcaa230a48: Waiting
2025-03-14T04:05:06.9498621Z 0e0314e23cf1: Waiting
2025-03-14T04:05:06.9498879Z 358e887b5af9: Waiting
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2025-03-14T04:05:06.9500261Z 11857a6b7851: Waiting
2025-03-14T04:05:07.0447179Z b64eae0f9865: Verifying Checksum
2025-03-14T04:05:07.0447580Z b64eae0f9865: Download complete
2025-03-14T04:05:07.2170751Z 403180670172: Verifying Checksum
2025-03-14T04:05:07.2171284Z 403180670172: Download complete
2025-03-14T04:05:07.3336763Z 86e5016c2693: Verifying Checksum
2025-03-14T04:05:07.3337369Z 86e5016c2693: Download complete
2025-03-14T04:05:07.4346373Z 0000d4c5345d: Verifying Checksum
2025-03-14T04:05:07.4347028Z 0000d4c5345d: Download complete
2025-03-14T04:05:07.5245073Z cc49a6f5bbf9: Verifying Checksum
2025-03-14T04:05:07.5245691Z cc49a6f5bbf9: Download complete
2025-03-14T04:05:07.6144506Z 955f46363639: Verifying Checksum
2025-03-14T04:05:07.6145190Z 955f46363639: Download complete
2025-03-14T04:05:07.8036830Z 176fd07a5b37: Verifying Checksum
2025-03-14T04:05:07.8037403Z 176fd07a5b37: Download complete
2025-03-14T04:05:07.8906581Z 14c6878b88e1: Download complete
2025-03-14T04:05:07.9717946Z 44a2b2adb348: Verifying Checksum
2025-03-14T04:05:07.9718604Z 44a2b2adb348: Download complete
2025-03-14T04:05:08.0629557Z 8d28e44b7173: Verifying Checksum
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2025-03-14T04:05:08.0831921Z 977f9685456c: Verifying Checksum
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2025-03-14T04:05:08.1931390Z 0aa1896ea194: Download complete
2025-03-14T04:05:08.2020055Z 4f4fb700ef54: Download complete
2025-03-14T04:05:08.2819753Z b1f6e7b115fa: Verifying Checksum
2025-03-14T04:05:08.2820223Z b1f6e7b115fa: Download complete
2025-03-14T04:05:08.3196871Z 86e5016c2693: Pull complete
2025-03-14T04:05:08.3860061Z fe5bda901c27: Verifying Checksum
2025-03-14T04:05:08.4172567Z fe5bda901c27: Download complete
2025-03-14T04:05:08.4172967Z b64eae0f9865: Pull complete
2025-03-14T04:05:08.4723544Z 69d1681b54f4: Verifying Checksum
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2025-03-14T04:05:08.6188415Z 4e533c6a25a5: Verifying Checksum
2025-03-14T04:05:08.6188915Z 4e533c6a25a5: Download complete
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2025-03-14T04:05:08.9897156Z 83ec6a063b6f: Verifying Checksum
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2025-03-14T04:05:12.0941963Z 4cda9e9a6e26: Verifying Checksum
2025-03-14T04:05:12.0942365Z 4cda9e9a6e26: Download complete
2025-03-14T04:05:12.2172809Z 1f9815b2b3b1: Verifying Checksum
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2025-03-14T04:05:12.2907838Z fafa7442899b: Verifying Checksum
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2025-03-14T04:05:13.6212946Z b3611088a559: Verifying Checksum
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2025-03-14T04:05:14.3105421Z 11b77c5e6a4c: Download complete
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2025-03-14T04:05:14.6070340Z 61f09cfa492b: Download complete
2025-03-14T04:05:14.7050506Z 37f50b3c6dc5: Download complete
2025-03-14T04:05:14.8280031Z f4222d90a3b0: Verifying Checksum
2025-03-14T04:05:14.8280618Z f4222d90a3b0: Download complete
2025-03-14T04:05:14.9161241Z f0e09b868978: Download complete
2025-03-14T04:05:15.0243147Z fea32805da6a: Download complete
2025-03-14T04:05:15.1297191Z e88ebc603e68: Verifying Checksum
2025-03-14T04:05:15.1297836Z e88ebc603e68: Download complete
2025-03-14T04:05:15.2222686Z 127286786396: Verifying Checksum
2025-03-14T04:05:15.2223272Z 127286786396: Download complete
2025-03-14T04:05:15.3240499Z edffc976b12a: Download complete
2025-03-14T04:05:15.4023206Z a9b1becf3ab8: Download complete
2025-03-14T04:05:15.4945286Z 8d150e46d80d: Verifying Checksum
2025-03-14T04:05:15.4945907Z 8d150e46d80d: Download complete
2025-03-14T04:05:15.5930180Z 702b72d020bb: Verifying Checksum
2025-03-14T04:05:15.5931540Z 702b72d020bb: Download complete
2025-03-14T04:05:15.6980014Z 21479af96a39: Verifying Checksum
2025-03-14T04:05:15.6980582Z 21479af96a39: Download complete
2025-03-14T04:05:15.7815339Z ea88b7068e4f: Verifying Checksum
2025-03-14T04:05:15.7816010Z ea88b7068e4f: Download complete
2025-03-14T04:05:15.8513777Z 78b28fc0ca82: Verifying Checksum
2025-03-14T04:05:15.8514349Z 78b28fc0ca82: Download complete
2025-03-14T04:05:15.9333861Z ef7783cc3f87: Verifying Checksum
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2025-03-14T04:05:16.0125659Z c706ce4bc239: Verifying Checksum
2025-03-14T04:05:16.0126362Z c706ce4bc239: Download complete
2025-03-14T04:05:18.3706761Z 6775f1cd04ed: Download complete
2025-03-14T04:05:18.4578817Z c4467d318427: Download complete
2025-03-14T04:05:18.5510573Z 0e0314e23cf1: Verifying Checksum
2025-03-14T04:05:18.5511050Z 0e0314e23cf1: Download complete
2025-03-14T04:05:18.6256032Z 358e887b5af9: Download complete
2025-03-14T04:05:18.7560412Z 11857a6b7851: Download complete
2025-03-14T04:05:18.9110469Z 8e789f656661: Verifying Checksum
2025-03-14T04:05:18.9110871Z 8e789f656661: Download complete
2025-03-14T04:05:19.0063109Z 8f116d3e883b: Verifying Checksum
2025-03-14T04:05:19.0063588Z 8f116d3e883b: Download complete
2025-03-14T04:05:19.8645121Z b21e2d445d94: Verifying Checksum
2025-03-14T04:05:19.8645781Z b21e2d445d94: Download complete
2025-03-14T04:05:20.2825778Z fa6343415b98: Pull complete
2025-03-14T04:05:20.4196984Z 403180670172: Pull complete
2025-03-14T04:05:20.5651072Z 3cbcaa230a48: Verifying Checksum
2025-03-14T04:05:20.5651719Z 3cbcaa230a48: Download complete
2025-03-14T04:05:22.4180260Z 977f9685456c: Pull complete
2025-03-14T04:05:22.5274647Z 0000d4c5345d: Pull complete
2025-03-14T04:05:22.6928266Z cc49a6f5bbf9: Pull complete
2025-03-14T04:05:22.8193176Z 955f46363639: Pull complete
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2025-03-14T04:05:23.2212838Z 0aa1896ea194: Pull complete
2025-03-14T04:05:55.8640785Z bd2cd6cca9d3: Verifying Checksum
2025-03-14T04:05:55.8641258Z bd2cd6cca9d3: Download complete
2025-03-14T04:06:37.3091460Z bd2cd6cca9d3: Pull complete
2025-03-14T04:06:37.4485750Z 4f4fb700ef54: Pull complete
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2025-03-14T04:06:54.0514941Z 702b72d020bb: Pull complete
2025-03-14T04:06:54.0885743Z 21479af96a39: Pull complete
2025-03-14T04:06:54.1495149Z ea88b7068e4f: Pull complete
2025-03-14T04:06:54.2215552Z 78b28fc0ca82: Pull complete
2025-03-14T04:06:54.4180288Z ef7783cc3f87: Pull complete
2025-03-14T04:06:54.5173315Z c706ce4bc239: Pull complete
2025-03-14T04:07:00.5530962Z 3cbcaa230a48: Pull complete
2025-03-14T04:07:00.7237165Z c4467d318427: Pull complete
2025-03-14T04:07:00.9042309Z 0e0314e23cf1: Pull complete
2025-03-14T04:07:00.9878655Z 358e887b5af9: Pull complete
2025-03-14T04:07:01.0440051Z 11857a6b7851: Pull complete
2025-03-14T04:07:01.0793918Z 8e789f656661: Pull complete
2025-03-14T04:07:01.1430999Z 8f116d3e883b: Pull complete
2025-03-14T04:07:02.8141922Z b21e2d445d94: Pull complete
2025-03-14T04:07:03.0882460Z Digest: sha256:f3d6a3edfcad1af24cc8a256a5d3fd25be79458006d512d917d0ff8916c757ad
2025-03-14T04:07:03.1105349Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.13-clang10:aa89d6e739080d90fa18625d57297c6734465849
2025-03-14T04:07:03.1338870Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.13-clang10:aa89d6e739080d90fa18625d57297c6734465849
2025-03-14T04:07:03.1385210Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-03-14T04:07:03.1386236Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-03-14T04:07:03.1393456Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-14T04:07:03.1393879Z env:
2025-03-14T04:07:03.1394130Z   GIT_DEFAULT_BRANCH: main
2025-03-14T04:07:03.1394430Z ##[endgroup]
2025-03-14T04:07:03.1487837Z Prepare all required actions
2025-03-14T04:07:03.1581671Z ##[group]Run ./.github/actions/get-workflow-job-id
2025-03-14T04:07:03.1582054Z with:
2025-03-14T04:07:03.1582481Z   github-token: ***
2025-03-14T04:07:03.1582759Z env:
2025-03-14T04:07:03.1583002Z   GIT_DEFAULT_BRANCH: main
2025-03-14T04:07:03.1583384Z ##[endgroup]
2025-03-14T04:07:03.1665433Z ##[group]Run set -eux
2025-03-14T04:07:03.1665748Z set -eux
2025-03-14T04:07:03.1666231Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-03-14T04:07:03.1672434Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-14T04:07:03.1672854Z env:
2025-03-14T04:07:03.1673087Z   GIT_DEFAULT_BRANCH: main
2025-03-14T04:07:03.1673579Z   GITHUB_TOKEN: ***
2025-03-14T04:07:03.1673835Z ##[endgroup]
2025-03-14T04:07:03.1697498Z + python3 .github/scripts/get_workflow_job_id.py 13849515290 i-027acbcd25a060095
2025-03-14T04:07:04.3502248Z setting job-id=38754600129
2025-03-14T04:07:04.3503360Z setting job-name=linux-focal-py3.13-clang10 / test (crossref, 1, 2, lf.linux.2xlarge)
2025-03-14T04:07:04.3613973Z ##[group]Run python3 -m pip install psutil==5.9.1 nvidia-ml-py==11.525.84 dataclasses_json==0.6.7
2025-03-14T04:07:04.3614787Z python3 -m pip install psutil==5.9.1 nvidia-ml-py==11.525.84 dataclasses_json==0.6.7
2025-03-14T04:07:04.3615414Z python3 -m tools.stats.monitor > usage_log.txt 2>&1 &
2025-03-14T04:07:04.3615932Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}"
2025-03-14T04:07:04.3622054Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-14T04:07:04.3622474Z env:
2025-03-14T04:07:04.3622720Z   GIT_DEFAULT_BRANCH: main
2025-03-14T04:07:04.3623015Z   JOB_ID: 38754600129
2025-03-14T04:07:04.3623452Z   JOB_NAME: linux-focal-py3.13-clang10 / test (crossref, 1, 2, lf.linux.2xlarge)
2025-03-14T04:07:04.3623952Z   WORKFLOW_NAME: pull
2025-03-14T04:07:04.3624236Z   WORKFLOW_RUN_ID: 13849515290
2025-03-14T04:07:04.3624535Z ##[endgroup]
2025-03-14T04:07:04.6099282Z Defaulting to user installation because normal site-packages is not writeable
2025-03-14T04:07:04.6272338Z Requirement already satisfied: psutil==5.9.1 in /home/ec2-user/.local/lib/python3.9/site-packages (5.9.1)
2025-03-14T04:07:04.6277409Z Requirement already satisfied: nvidia-ml-py==11.525.84 in /home/ec2-user/.local/lib/python3.9/site-packages (11.525.84)
2025-03-14T04:07:04.6281816Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/ec2-user/.local/lib/python3.9/site-packages (0.6.7)
2025-03-14T04:07:04.6385542Z Requirement already satisfied: marshmallow<4.0.0,>=3.18.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from dataclasses_json==0.6.7) (3.26.1)
2025-03-14T04:07:04.6391765Z Requirement already satisfied: typing-inspect<1,>=0.4.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from dataclasses_json==0.6.7) (0.9.0)
2025-03-14T04:07:04.6477137Z Requirement already satisfied: packaging>=17.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from marshmallow<4.0.0,>=3.18.0->dataclasses_json==0.6.7) (24.2)
2025-03-14T04:07:04.6506705Z Requirement already satisfied: mypy-extensions>=0.3.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (1.0.0)
2025-03-14T04:07:04.6511270Z Requirement already satisfied: typing-extensions>=3.7.4 in /home/ec2-user/.local/lib/python3.9/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (4.12.2)
2025-03-14T04:07:04.8464399Z Prepare all required actions
2025-03-14T04:07:04.8464817Z Getting action download info
2025-03-14T04:07:04.9664400Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6)
2025-03-14T04:07:05.1762460Z Download action repository 'actions/download-artifact@v4' (SHA:cc203385981b70ca67e1cc392babf9cc229d5806)
2025-03-14T04:07:05.4757776Z ##[group]Run ./.github/actions/download-build-artifacts
2025-03-14T04:07:05.4758191Z with:
2025-03-14T04:07:05.4758454Z   name: linux-focal-py3.13-clang10
2025-03-14T04:07:05.4758800Z   s3-bucket: gha-artifacts
2025-03-14T04:07:05.4759088Z env:
2025-03-14T04:07:05.4759330Z   GIT_DEFAULT_BRANCH: main
2025-03-14T04:07:05.4759608Z ##[endgroup]
2025-03-14T04:07:05.4793161Z ##[group]Run seemethere/download-artifact-s3@v4
2025-03-14T04:07:05.4793542Z with:
2025-03-14T04:07:05.4793805Z   name: linux-focal-py3.13-clang10
2025-03-14T04:07:05.4794144Z   s3-bucket: gha-artifacts
2025-03-14T04:07:05.4794491Z   region: us-east-1
2025-03-14T04:07:05.4794748Z env:
2025-03-14T04:07:05.4794996Z   GIT_DEFAULT_BRANCH: main
2025-03-14T04:07:05.4795380Z ##[endgroup]
2025-03-14T04:07:05.9644101Z (node:226004) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-03-14T04:07:05.9644637Z 
2025-03-14T04:07:05.9644857Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-03-14T04:07:05.9645442Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-03-14T04:07:05.9646067Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-03-14T04:07:06.0781155Z Found 1 objects with prefix pytorch/pytorch/13849515290/linux-focal-py3.13-clang10/
2025-03-14T04:07:06.0781952Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2025-03-14T04:07:14.5593877Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2025-03-14T04:07:14.5600736Z Artifact download has finished successfully
2025-03-14T04:07:14.5756078Z ##[group]Run unzip -o artifacts.zip
2025-03-14T04:07:14.5756453Z unzip -o artifacts.zip
2025-03-14T04:07:14.5762202Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-14T04:07:14.5762630Z env:
2025-03-14T04:07:14.5762890Z   GIT_DEFAULT_BRANCH: main
2025-03-14T04:07:14.5763185Z ##[endgroup]
2025-03-14T04:07:14.5821491Z Archive:  artifacts.zip
2025-03-14T04:07:14.5822333Z    creating: dist/
2025-03-14T04:07:15.5603881Z   inflating: dist/torch-2.8.0a0+gitaed0b7a-cp313-cp313-linux_x86_64.whl  
2025-03-14T04:07:15.5686735Z   inflating: dist/.ninja_log         
2025-03-14T04:07:15.5687554Z    creating: build/custom_test_artifacts/
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2025-03-14T04:07:20.6666384Z   inflating: build/bin/inline_container_test  
2025-03-14T04:07:20.6761829Z   inflating: build/bin/List_test     
2025-03-14T04:07:20.6811157Z   inflating: build/bin/wrapdim_test  
2025-03-14T04:07:20.6859138Z   inflating: build/bin/dlconvertor_test  
2025-03-14T04:07:20.6907822Z   inflating: build/bin/operator_name_test  
2025-03-14T04:07:20.6963191Z   inflating: build/bin/extension_backend_test  
2025-03-14T04:07:20.7013034Z   inflating: build/bin/undefined_tensor_test  
2025-03-14T04:07:20.7106722Z   inflating: build/bin/ivalue_test   
2025-03-14T04:07:20.7154229Z   inflating: build/bin/lazy_tensor_test  
2025-03-14T04:07:20.7205201Z   inflating: build/bin/mobile_memory_cleanup  
2025-03-14T04:07:20.7258683Z   inflating: build/bin/scalar_tensor_test  
2025-03-14T04:07:20.7307135Z   inflating: build/bin/CppSignature_test  
2025-03-14T04:07:20.7357521Z   inflating: build/bin/math_kernel_test  
2025-03-14T04:07:20.7664679Z   inflating: build/bin/op_registration_test  
2025-03-14T04:07:20.7715123Z   inflating: build/bin/memory_format_test  
2025-03-14T04:07:20.7768942Z   inflating: build/bin/native_test   
2025-03-14T04:07:20.7816925Z   inflating: build/bin/reduce_ops_test  
2025-03-14T04:07:20.7866237Z   inflating: build/bin/packedtensoraccessor_test  
2025-03-14T04:07:20.7933861Z   inflating: build/bin/pow_test      
2025-03-14T04:07:20.7987638Z   inflating: build/bin/quantized_test  
2025-03-14T04:07:20.8036346Z   inflating: build/bin/reportMemoryUsage_test  
2025-03-14T04:07:20.9024930Z   inflating: build/bin/test_tensorexpr  
2025-03-14T04:07:20.9040502Z   inflating: build/bin/tutorial_tensorexpr  
2025-03-14T04:07:20.9104404Z   inflating: build/bin/ProcessGroupGlooTest  
2025-03-14T04:07:20.9153526Z   inflating: build/bin/BackoffTest   
2025-03-14T04:07:20.9156481Z   inflating: build/bin/example_allreduce  
2025-03-14T04:07:20.9713174Z   inflating: build/bin/test_jit      
2025-03-14T04:07:20.9765126Z   inflating: build/bin/test_dist_autograd  
2025-03-14T04:07:20.9829411Z   inflating: build/bin/test_cpp_rpc  
2025-03-14T04:07:21.1084106Z   inflating: build/bin/test_api      
2025-03-14T04:07:21.1085941Z   inflating: build/bin/parallel_benchmark  
2025-03-14T04:07:21.1150105Z   inflating: build/bin/test_mobile_nnc  
2025-03-14T04:07:21.1159077Z   inflating: build/bin/aot_model_compiler_test  
2025-03-14T04:07:21.1469194Z   inflating: build/bin/test_lazy     
2025-03-14T04:07:21.1473214Z   inflating: build/bin/torch_shm_manager  
2025-03-14T04:07:21.1473673Z    creating: .additional_ci_files/
2025-03-14T04:07:21.1575678Z   inflating: .additional_ci_files/test-times.json  
2025-03-14T04:07:21.1972773Z   inflating: .additional_ci_files/test-class-times.json  
2025-03-14T04:07:21.1998650Z ##[group]Run rm artifacts.zip
2025-03-14T04:07:21.1998992Z rm artifacts.zip
2025-03-14T04:07:21.2004909Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-14T04:07:21.2005344Z env:
2025-03-14T04:07:21.2005589Z   GIT_DEFAULT_BRANCH: main
2025-03-14T04:07:21.2005877Z ##[endgroup]
2025-03-14T04:07:21.2323640Z ##[group]Run df -H
2025-03-14T04:07:21.2323947Z df -H
2025-03-14T04:07:21.2329497Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-14T04:07:21.2329918Z env:
2025-03-14T04:07:21.2330165Z   GIT_DEFAULT_BRANCH: main
2025-03-14T04:07:21.2330454Z ##[endgroup]
2025-03-14T04:07:21.2383406Z Filesystem        Size  Used Avail Use% Mounted on
2025-03-14T04:07:21.2383908Z devtmpfs          4.2M     0  4.2M   0% /dev
2025-03-14T04:07:21.2384288Z tmpfs             8.2G     0  8.2G   0% /dev/shm
2025-03-14T04:07:21.2384659Z tmpfs             3.3G  488k  3.3G   1% /run
2025-03-14T04:07:21.2385023Z /dev/nvme0n1p1    161G   26G  136G  16% /
2025-03-14T04:07:21.2385456Z tmpfs             8.2G   25k  8.2G   1% /tmp
2025-03-14T04:07:21.2385844Z /dev/nvme0n1p128   11M  1.4M  9.2M  13% /boot/efi
2025-03-14T04:07:21.2481039Z Prepare all required actions
2025-03-14T04:07:21.2481878Z Getting action download info
2025-03-14T04:07:21.3822348Z ##[group]Run ./.github/actions/download-td-artifacts
2025-03-14T04:07:21.3822769Z with:
2025-03-14T04:07:21.3823000Z env:
2025-03-14T04:07:21.3823249Z   GIT_DEFAULT_BRANCH: main
2025-03-14T04:07:21.3823542Z ##[endgroup]
2025-03-14T04:07:21.3973518Z ##[group]Run seemethere/download-artifact-s3@v4
2025-03-14T04:07:21.3973899Z with:
2025-03-14T04:07:21.3974138Z   name: td_results
2025-03-14T04:07:21.3974410Z   s3-bucket: gha-artifacts
2025-03-14T04:07:21.3974707Z   region: us-east-1
2025-03-14T04:07:21.3974961Z env:
2025-03-14T04:07:21.3975203Z   GIT_DEFAULT_BRANCH: main
2025-03-14T04:07:21.3975488Z ##[endgroup]
2025-03-14T04:07:21.8747681Z (node:226023) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-03-14T04:07:21.8748237Z 
2025-03-14T04:07:21.8748527Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-03-14T04:07:21.8749334Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-03-14T04:07:21.8749939Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-03-14T04:07:21.9885298Z Found 1 objects with prefix pytorch/pytorch/13849515290/td_results/
2025-03-14T04:07:21.9886270Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json
2025-03-14T04:07:22.0453889Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json
2025-03-14T04:07:22.0458770Z Artifact download has finished successfully
2025-03-14T04:07:22.0705983Z ##[group]Run mkdir -p .additional_ci_files
2025-03-14T04:07:22.0706410Z mkdir -p .additional_ci_files
2025-03-14T04:07:22.0706888Z mv td_results.json .additional_ci_files/td_results.json || true
2025-03-14T04:07:22.0713392Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-14T04:07:22.0713807Z env:
2025-03-14T04:07:22.0714088Z   GIT_DEFAULT_BRANCH: main
2025-03-14T04:07:22.0714379Z ##[endgroup]
2025-03-14T04:07:22.1133406Z ##[group]Run .github/scripts/parse_ref.py
2025-03-14T04:07:22.1133840Z .github/scripts/parse_ref.py
2025-03-14T04:07:22.1139428Z shell: /usr/bin/bash -e {0}
2025-03-14T04:07:22.1139720Z env:
2025-03-14T04:07:22.1139963Z   GIT_DEFAULT_BRANCH: main
2025-03-14T04:07:22.1140255Z ##[endgroup]
2025-03-14T04:07:22.1782933Z Prepare all required actions
2025-03-14T04:07:22.1783365Z Getting action download info
2025-03-14T04:07:22.3111963Z ##[group]Run ./.github/actions/filter-test-configs
2025-03-14T04:07:22.3112360Z with:
2025-03-14T04:07:22.3112815Z   github-token: ***
2025-03-14T04:07:22.3115766Z   test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "crossref", "shard": 1, "num_shards": 2, "runner": "lf.linux.2xlarge"}, {"config": "crossref", "shard": 2, "num_shards": 2, "runner": "lf.linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "lf.linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "lf.linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "lf.linux.2xlarge"}]}
2025-03-14T04:07:22.3118800Z   job-name: linux-focal-py3.13-clang10 / test (crossref, 1, 2, lf.linux.2xlarge)
2025-03-14T04:07:22.3119301Z env:
2025-03-14T04:07:22.3119553Z   GIT_DEFAULT_BRANCH: main
2025-03-14T04:07:22.3119851Z ##[endgroup]
2025-03-14T04:07:22.3253239Z ##[group]Run nick-fields/retry@v3.0.0
2025-03-14T04:07:22.3253587Z with:
2025-03-14T04:07:22.3253837Z   shell: bash
2025-03-14T04:07:22.3254101Z   timeout_minutes: 10
2025-03-14T04:07:22.3254393Z   max_attempts: 5
2025-03-14T04:07:22.3254693Z   retry_wait_seconds: 30
2025-03-14T04:07:22.3255543Z   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

2025-03-14T04:07:22.3256448Z   polling_interval_seconds: 1
2025-03-14T04:07:22.3256773Z   warning_on_retry: true
2025-03-14T04:07:22.3257072Z   continue_on_error: false
2025-03-14T04:07:22.3257363Z env:
2025-03-14T04:07:22.3257605Z   GIT_DEFAULT_BRANCH: main
2025-03-14T04:07:22.3258093Z   GITHUB_TOKEN: ***
2025-03-14T04:07:22.3258362Z ##[endgroup]
2025-03-14T04:07:22.4160118Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.1
2025-03-14T04:07:22.6850833Z Defaulting to user installation because normal site-packages is not writeable
2025-03-14T04:07:22.7003080Z Requirement already satisfied: requests==2.27.1 in /home/ec2-user/.local/lib/python3.9/site-packages (2.27.1)
2025-03-14T04:07:22.7007739Z Requirement already satisfied: pyyaml==6.0.1 in /home/ec2-user/.local/lib/python3.9/site-packages (6.0.1)
2025-03-14T04:07:22.7113926Z Requirement already satisfied: certifi>=2017.4.17 in /home/ec2-user/.local/lib/python3.9/site-packages (from requests==2.27.1) (2025.1.31)
2025-03-14T04:07:22.7117987Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10)
2025-03-14T04:07:22.7128106Z Requirement already satisfied: charset-normalizer~=2.0.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from requests==2.27.1) (2.0.12)
2025-03-14T04:07:22.7138055Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10)
2025-03-14T04:07:23.4010141Z Command completed after 1 attempt(s).
2025-03-14T04:07:23.4120844Z ##[group]Run set -x
2025-03-14T04:07:23.4121141Z set -x
2025-03-14T04:07:23.4121391Z 
2025-03-14T04:07:23.4121853Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-03-14T04:07:23.4122426Z # in runner workspace
2025-03-14T04:07:23.4122846Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py"
2025-03-14T04:07:23.4128943Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-14T04:07:23.4129583Z env:
2025-03-14T04:07:23.4129946Z   GIT_DEFAULT_BRANCH: main
2025-03-14T04:07:23.4130717Z ##[endgroup]
2025-03-14T04:07:23.4156248Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py
2025-03-14T04:07:23.4488989Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}"
2025-03-14T04:07:23.4489502Z echo "Workflow: ${GITHUB_WORKFLOW}"
2025-03-14T04:07:23.4489911Z echo "Job name: ${JOB_NAME}"
2025-03-14T04:07:23.4490239Z 
2025-03-14T04:07:23.4490657Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-03-14T04:07:23.4491181Z # in runner workspace
2025-03-14T04:07:23.4491661Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \
2025-03-14T04:07:23.4492176Z   --workflow "${GITHUB_WORKFLOW}" \
2025-03-14T04:07:23.4492544Z   --job-name "${JOB_NAME}" \
2025-03-14T04:07:23.4495454Z   --test-matrix "{"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "crossref", "shard": 1, "num_shards": 2, "runner": "lf.linux.2xlarge"}, {"config": "crossref", "shard": 2, "num_shards": 2, "runner": "lf.linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "lf.linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "lf.linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "lf.linux.2xlarge"}]}" \
2025-03-14T04:07:23.4498353Z   --selected-test-configs "" \
2025-03-14T04:07:23.4498717Z   --pr-number "${PR_NUMBER}" \
2025-03-14T04:07:23.4499048Z   --tag "${TAG}" \
2025-03-14T04:07:23.4499372Z   --event-name "${EVENT_NAME}" \
2025-03-14T04:07:23.4499729Z   --schedule "${SCHEDULE}" \
2025-03-14T04:07:23.4500070Z   --branch "${HEAD_BRANCH}"
2025-03-14T04:07:23.4505599Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-14T04:07:23.4506011Z env:
2025-03-14T04:07:23.4506251Z   GIT_DEFAULT_BRANCH: main
2025-03-14T04:07:23.4506750Z   GITHUB_TOKEN: ***
2025-03-14T04:07:23.4507173Z   JOB_NAME: linux-focal-py3.13-clang10 / test (crossref, 1, 2, lf.linux.2xlarge)
2025-03-14T04:07:23.4507661Z   PR_NUMBER: 
2025-03-14T04:07:23.4507902Z   TAG: 
2025-03-14T04:07:23.4508135Z   EVENT_NAME: push
2025-03-14T04:07:23.4508550Z   SCHEDULE: 
2025-03-14T04:07:23.4508791Z   HEAD_BRANCH: 
2025-03-14T04:07:23.4509043Z ##[endgroup]
2025-03-14T04:07:23.4530785Z Workflow: pull
2025-03-14T04:07:23.4531505Z Job name: linux-focal-py3.13-clang10 / test (crossref, 1, 2, lf.linux.2xlarge)
2025-03-14T04:07:23.7495893Z ##[group]Run echo "Filtered matrix:"
2025-03-14T04:07:23.7496291Z echo "Filtered matrix:"
2025-03-14T04:07:23.7499142Z echo "{"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "crossref", "shard": 1, "num_shards": 2, "runner": "lf.linux.2xlarge"}, {"config": "crossref", "shard": 2, "num_shards": 2, "runner": "lf.linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "lf.linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "lf.linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "lf.linux.2xlarge"}]}"
2025-03-14T04:07:23.7501976Z 
2025-03-14T04:07:23.7502209Z echo
2025-03-14T04:07:23.7502653Z echo "Is the current job unstable? False"
2025-03-14T04:07:23.7503026Z 
2025-03-14T04:07:23.7503258Z echo
2025-03-14T04:07:23.7503547Z echo "Is keep-going label set? False"
2025-03-14T04:07:23.7503908Z 
2025-03-14T04:07:23.7504141Z echo
2025-03-14T04:07:23.7504404Z echo "Renabled issues? "
2025-03-14T04:07:23.7510114Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-14T04:07:23.7510529Z env:
2025-03-14T04:07:23.7510777Z   GIT_DEFAULT_BRANCH: main
2025-03-14T04:07:23.7511091Z ##[endgroup]
2025-03-14T04:07:23.7533618Z Filtered matrix:
2025-03-14T04:07:23.7536893Z {include: [{config: default, shard: 1, num_shards: 5, runner: lf.linux.4xlarge}, {config: default, shard: 2, num_shards: 5, runner: lf.linux.4xlarge}, {config: default, shard: 3, num_shards: 5, runner: lf.linux.4xlarge}, {config: default, shard: 4, num_shards: 5, runner: lf.linux.4xlarge}, {config: default, shard: 5, num_shards: 5, runner: lf.linux.4xlarge}, {config: crossref, shard: 1, num_shards: 2, runner: lf.linux.2xlarge}, {config: crossref, shard: 2, num_shards: 2, runner: lf.linux.2xlarge}, {config: dynamo_wrapped, shard: 1, num_shards: 3, runner: lf.linux.2xlarge}, {config: dynamo_wrapped, shard: 2, num_shards: 3, runner: lf.linux.2xlarge}, {config: dynamo_wrapped, shard: 3, num_shards: 3, runner: lf.linux.2xlarge}]}
2025-03-14T04:07:23.7539553Z 
2025-03-14T04:07:23.7539695Z Is the current job unstable? False
2025-03-14T04:07:23.7539912Z 
2025-03-14T04:07:23.7540044Z Is keep-going label set? False
2025-03-14T04:07:23.7540243Z 
2025-03-14T04:07:23.7540357Z Renabled issues? 
2025-03-14T04:07:23.7621580Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-03-14T04:07:23.7622147Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-03-14T04:07:23.7627369Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-14T04:07:23.7627787Z env:
2025-03-14T04:07:23.7628029Z   GIT_DEFAULT_BRANCH: main
2025-03-14T04:07:23.7628320Z   JOB_TIMEOUT: 600
2025-03-14T04:07:23.7628562Z ##[endgroup]
2025-03-14T04:07:23.7775422Z ##[group]Run set -x
2025-03-14T04:07:23.7775815Z set -x
2025-03-14T04:07:23.7776066Z 
2025-03-14T04:07:23.7776340Z if [[ $TEST_CONFIG == 'multigpu' ]]; then
2025-03-14T04:07:23.7776773Z   TEST_COMMAND=.ci/pytorch/multigpu-test.sh
2025-03-14T04:07:23.7777208Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then
2025-03-14T04:07:23.7777607Z   TEST_COMMAND=.ci/onnx/test.sh
2025-03-14T04:07:23.7777948Z else
2025-03-14T04:07:23.7778226Z   TEST_COMMAND=.ci/pytorch/test.sh
2025-03-14T04:07:23.7778695Z fi
2025-03-14T04:07:23.7778932Z 
2025-03-14T04:07:23.7779226Z # Leaving 1GB for the runner and other things
2025-03-14T04:07:23.7779850Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo)
2025-03-14T04:07:23.7780799Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap
2025-03-14T04:07:23.7781559Z # comes from https://github.com/pytorch/test-infra/pull/6058
2025-03-14T04:07:23.7782138Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3))
2025-03-14T04:07:23.7782593Z 
2025-03-14T04:07:23.7782891Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
2025-03-14T04:07:23.7783272Z   SHM_OPTS=
2025-03-14T04:07:23.7783549Z   JENKINS_USER=
2025-03-14T04:07:23.7783935Z   # ensure that docker container cleanly exits in 12 hours
2025-03-14T04:07:23.7784450Z   # if for some reason cleanup action doesn't stop container
2025-03-14T04:07:23.7784887Z   # when job is cancelled
2025-03-14T04:07:23.7785231Z   DOCKER_SHELL_CMD="sleep 12h"
2025-03-14T04:07:23.7785561Z 
2025-03-14T04:07:23.7785964Z   # since some steps are skipped on s390x, if they are necessary, run them here
2025-03-14T04:07:23.7786553Z   env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-03-14T04:07:23.7787037Z   env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-03-14T04:07:23.7787427Z else
2025-03-14T04:07:23.7787705Z   SHM_OPTS="--shm-size=${SHM_SIZE}"
2025-03-14T04:07:23.7788078Z   JENKINS_USER="--user jenkins"
2025-03-14T04:07:23.7788425Z   DOCKER_SHELL_CMD=
2025-03-14T04:07:23.7788715Z fi
2025-03-14T04:07:23.7788948Z 
2025-03-14T04:07:23.7789318Z # detached container should get cleaned up by teardown_ec2_linux
2025-03-14T04:07:23.7789899Z # TODO: Stop building test binaries as part of the build phase
2025-03-14T04:07:23.7790560Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice
2025-03-14T04:07:23.7791140Z # shellcheck disable=SC2086,SC2090
2025-03-14T04:07:23.7791511Z container_name=$(docker run \
2025-03-14T04:07:23.7791855Z   ${GPU_FLAG:-} \
2025-03-14T04:07:23.7792193Z   ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \
2025-03-14T04:07:23.7792573Z   -e BUILD_ENVIRONMENT \
2025-03-14T04:07:23.7792905Z   -e PR_NUMBER \
2025-03-14T04:07:23.7793208Z   -e GITHUB_ACTIONS \
2025-03-14T04:07:23.7793516Z   -e GITHUB_REPOSITORY \
2025-03-14T04:07:23.7793846Z   -e GITHUB_WORKFLOW \
2025-03-14T04:07:23.7794161Z   -e GITHUB_JOB \
2025-03-14T04:07:23.7794460Z   -e GITHUB_RUN_ID \
2025-03-14T04:07:23.7794770Z   -e GITHUB_RUN_NUMBER \
2025-03-14T04:07:23.7795208Z   -e GITHUB_RUN_ATTEMPT \
2025-03-14T04:07:23.7795535Z   -e JOB_ID \
2025-03-14T04:07:23.7795822Z   -e JOB_NAME \
2025-03-14T04:07:23.7796114Z   -e BASE_SHA \
2025-03-14T04:07:23.7796403Z   -e BRANCH \
2025-03-14T04:07:23.7796681Z   -e SHA1 \
2025-03-14T04:07:23.7796963Z   -e AWS_DEFAULT_REGION \
2025-03-14T04:07:23.7797403Z   -e IN_WHEEL_TEST \
2025-03-14T04:07:23.7797717Z   -e SHARD_NUMBER \
2025-03-14T04:07:23.7798023Z   -e TEST_CONFIG \
2025-03-14T04:07:23.7798329Z   -e NUM_TEST_SHARDS \
2025-03-14T04:07:23.7798651Z   -e REENABLED_ISSUES \
2025-03-14T04:07:23.7798989Z   -e CONTINUE_THROUGH_ERROR \
2025-03-14T04:07:23.7799325Z   -e VERBOSE_TEST_LOGS \
2025-03-14T04:07:23.7799659Z   -e TEST_SHOWLOCALS \
2025-03-14T04:07:23.7799979Z   -e NO_TEST_TIMEOUT \
2025-03-14T04:07:23.7800287Z   -e NO_TD \
2025-03-14T04:07:23.7800638Z   -e TD_DISTRIBUTED \
2025-03-14T04:07:23.7800953Z   -e PR_LABELS \
2025-03-14T04:07:23.7801285Z   -e MAX_JOBS="$(nproc --ignore=2)" \
2025-03-14T04:07:23.7801657Z   -e SCCACHE_BUCKET \
2025-03-14T04:07:23.7801979Z   -e SCCACHE_REGION \
2025-03-14T04:07:23.7802289Z   -e XLA_CUDA \
2025-03-14T04:07:23.7802611Z   -e XLA_CLANG_CACHE_S3_BUCKET_NAME \
2025-03-14T04:07:23.7803011Z   -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \
2025-03-14T04:07:23.7803419Z   -e PYTORCH_TEST_RERUN_DISABLED_TESTS \
2025-03-14T04:07:23.7803825Z   -e SKIP_SCCACHE_INITIALIZATION=1 \
2025-03-14T04:07:23.7804207Z   -e HUGGING_FACE_HUB_TOKEN \
2025-03-14T04:07:23.7804572Z   -e SCRIBE_GRAPHQL_ACCESS_TOKEN \
2025-03-14T04:07:23.7804931Z   -e DASHBOARD_TAG \
2025-03-14T04:07:23.7805242Z   -e IS_A100_RUNNER \
2025-03-14T04:07:23.7805566Z   -e ARTIFACTS_FILE_SUFFIX \
2025-03-14T04:07:23.7805968Z   --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \
2025-03-14T04:07:23.7806409Z   --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \
2025-03-14T04:07:23.7806863Z   --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \
2025-03-14T04:07:23.7807293Z   --security-opt seccomp=unconfined \
2025-03-14T04:07:23.7807671Z   --cap-add=SYS_PTRACE \
2025-03-14T04:07:23.7808002Z   --ipc=host \
2025-03-14T04:07:23.7808286Z   ${SHM_OPTS} \
2025-03-14T04:07:23.7808565Z   --tty \
2025-03-14T04:07:23.7808826Z   --detach \
2025-03-14T04:07:23.7809118Z   --name="${container_name}" \
2025-03-14T04:07:23.7809464Z   ${JENKINS_USER} \
2025-03-14T04:07:23.7809842Z   -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \
2025-03-14T04:07:23.7810275Z   -w /var/lib/jenkins/workspace \
2025-03-14T04:07:23.7810626Z   "${DOCKER_IMAGE}" \
2025-03-14T04:07:23.7810941Z   ${DOCKER_SHELL_CMD}
2025-03-14T04:07:23.7811237Z )
2025-03-14T04:07:23.7811558Z # Propagate download.pytorch.org IP to container
2025-03-14T04:07:23.7812279Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts"
2025-03-14T04:07:23.7813045Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}"
2025-03-14T04:07:23.7813496Z 
2025-03-14T04:07:23.7813789Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
2025-03-14T04:07:23.7814409Z   docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt"
2025-03-14T04:07:23.7814970Z fi
2025-03-14T04:07:23.7815205Z 
2025-03-14T04:07:23.7815735Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}"
2025-03-14T04:07:23.7820994Z shell: /usr/bin/bash -e {0}
2025-03-14T04:07:23.7821301Z env:
2025-03-14T04:07:23.7821560Z   GIT_DEFAULT_BRANCH: main
2025-03-14T04:07:23.7821907Z   BUILD_ENVIRONMENT: linux-focal-py3.13-clang10
2025-03-14T04:07:23.7822267Z   PR_NUMBER: 
2025-03-14T04:07:23.7822540Z   GITHUB_REPOSITORY: pytorch/pytorch
2025-03-14T04:07:23.7822878Z   GITHUB_WORKFLOW: pull
2025-03-14T04:07:23.7823158Z   GITHUB_JOB: test
2025-03-14T04:07:23.7823424Z   GITHUB_RUN_ID: 13849515290
2025-03-14T04:07:23.7823724Z   GITHUB_RUN_NUMBER: 299021
2025-03-14T04:07:23.7824128Z   GITHUB_RUN_ATTEMPT: 1
2025-03-14T04:07:23.7824409Z   JOB_ID: 38754600129
2025-03-14T04:07:23.7824839Z   JOB_NAME: linux-focal-py3.13-clang10 / test (crossref, 1, 2, lf.linux.2xlarge)
2025-03-14T04:07:23.7825332Z   BRANCH: main
2025-03-14T04:07:23.7825618Z   SHA1: aed0b7a742a2d7b7901790622829cbd2135049a4
2025-03-14T04:07:23.7826023Z   BASE_SHA: aed0b7a742a2d7b7901790622829cbd2135049a4
2025-03-14T04:07:23.7826396Z   TEST_CONFIG: crossref
2025-03-14T04:07:23.7826673Z   SHARD_NUMBER: 1
2025-03-14T04:07:23.7826934Z   NUM_TEST_SHARDS: 2
2025-03-14T04:07:23.7827270Z   REENABLED_ISSUES: 
2025-03-14T04:07:23.7827551Z   CONTINUE_THROUGH_ERROR: False
2025-03-14T04:07:23.7827854Z   VERBOSE_TEST_LOGS: False
2025-03-14T04:07:23.7828149Z   TEST_SHOWLOCALS: False
2025-03-14T04:07:23.7828440Z   NO_TEST_TIMEOUT: False
2025-03-14T04:07:23.7828717Z   NO_TD: False
2025-03-14T04:07:23.7828969Z   TD_DISTRIBUTED: False
2025-03-14T04:07:23.7829310Z   SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2
2025-03-14T04:07:23.7829708Z   SCCACHE_REGION: us-east-1
2025-03-14T04:07:23.7830000Z   SHM_SIZE: 1g
2025-03-14T04:07:23.7830695Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.13-clang10:aa89d6e739080d90fa18625d57297c6734465849
2025-03-14T04:07:23.7831458Z   XLA_CUDA: 
2025-03-14T04:07:23.7831845Z   XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla
2025-03-14T04:07:23.7832341Z   PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0
2025-03-14T04:07:23.7832699Z   PYTORCH_TEST_RERUN_DISABLED_TESTS: 0
2025-03-14T04:07:23.7833040Z   DASHBOARD_TAG: 
2025-03-14T04:07:23.7833507Z   HUGGING_FACE_HUB_TOKEN: ***
2025-03-14T04:07:23.7833958Z   SCRIBE_GRAPHQL_ACCESS_TOKEN: ***
2025-03-14T04:07:23.7834282Z   IS_A100_RUNNER: 0
2025-03-14T04:07:23.7834676Z   ARTIFACTS_FILE_SUFFIX: test-crossref-1-2-lf.linux.2xlarge_38754600129
2025-03-14T04:07:23.7835231Z ##[endgroup]
2025-03-14T04:07:23.7856746Z + [[ crossref == \m\u\l\t\i\g\p\u ]]
2025-03-14T04:07:23.7857152Z + [[ linux-focal-py3.13-clang10 == *onnx* ]]
2025-03-14T04:07:23.7857530Z + TEST_COMMAND=.ci/pytorch/test.sh
2025-03-14T04:07:23.7860034Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo
2025-03-14T04:07:23.8243249Z + TOTAL_AVAILABLE_MEMORY_IN_GB='14.244 '
2025-03-14T04:07:23.8243706Z + TOTAL_MEMORY_WITH_SWAP=17
2025-03-14T04:07:23.8244142Z + [[ linux-focal-py3.13-clang10 == *\s\3\9\0\x* ]]
2025-03-14T04:07:23.8244524Z + SHM_OPTS=--shm-size=1g
2025-03-14T04:07:23.8244826Z + JENKINS_USER='--user jenkins'
2025-03-14T04:07:23.8245139Z + DOCKER_SHELL_CMD=
2025-03-14T04:07:23.8251771Z +++ nproc --ignore=2
2025-03-14T04:07:23.8325764Z ++ docker run -e BUILD_ENVIRONMENT -e PR_NUMBER -e GITHUB_ACTIONS -e GITHUB_REPOSITORY -e GITHUB_WORKFLOW -e GITHUB_JOB -e GITHUB_RUN_ID -e GITHUB_RUN_NUMBER -e GITHUB_RUN_ATTEMPT -e JOB_ID -e JOB_NAME -e BASE_SHA -e BRANCH -e SHA1 -e AWS_DEFAULT_REGION -e IN_WHEEL_TEST -e SHARD_NUMBER -e TEST_CONFIG -e NUM_TEST_SHARDS -e REENABLED_ISSUES -e CONTINUE_THROUGH_ERROR -e VERBOSE_TEST_LOGS -e TEST_SHOWLOCALS -e NO_TEST_TIMEOUT -e NO_TD -e TD_DISTRIBUTED -e PR_LABELS -e MAX_JOBS=6 -e SCCACHE_BUCKET -e SCCACHE_REGION -e XLA_CUDA -e XLA_CLANG_CACHE_S3_BUCKET_NAME -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK -e PYTORCH_TEST_RERUN_DISABLED_TESTS -e SKIP_SCCACHE_INITIALIZATION=1 -e HUGGING_FACE_HUB_TOKEN -e SCRIBE_GRAPHQL_ACCESS_TOKEN -e DASHBOARD_TAG -e IS_A100_RUNNER -e ARTIFACTS_FILE_SUFFIX --memory=14g --memory-swap=17g --env-file=/tmp/github_env_13849515290 --security-opt seccomp=unconfined --cap-add=SYS_PTRACE --ipc=host --shm-size=1g --tty --detach --name= --user jenkins -v /home/ec2-user/actions-runner/_work/pytorch/pytorch:/var/lib/jenkins/workspace -w /var/lib/jenkins/workspace 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.13-clang10:aa89d6e739080d90fa18625d57297c6734465849
2025-03-14T04:07:32.8595371Z + container_name=816cc0d6e32ef77e87562d1c825fdb4d864bd2052c5e3e80ce1789fec4b71c73
2025-03-14T04:07:32.8600707Z + grep download.pytorch.org /etc/hosts
2025-03-14T04:07:32.8601954Z + docker exec -i 816cc0d6e32ef77e87562d1c825fdb4d864bd2052c5e3e80ce1789fec4b71c73 sudo bash -c '/bin/cat >> /etc/hosts'
2025-03-14T04:07:33.0012246Z + echo DOCKER_CONTAINER_ID=816cc0d6e32ef77e87562d1c825fdb4d864bd2052c5e3e80ce1789fec4b71c73
2025-03-14T04:07:33.0012910Z + [[ linux-focal-py3.13-clang10 == *\s\3\9\0\x* ]]
2025-03-14T04:07:33.0015439Z ++ echo dist/torch-2.8.0a0+gitaed0b7a-cp313-cp313-linux_x86_64.whl
2025-03-14T04:07:33.0017645Z + docker exec -t 816cc0d6e32ef77e87562d1c825fdb4d864bd2052c5e3e80ce1789fec4b71c73 sh -c 'python3 -m pip install dist/torch-2.8.0a0+gitaed0b7a-cp313-cp313-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh'
2025-03-14T04:07:33.6401778Z Processing ./dist/torch-2.8.0a0+gitaed0b7a-cp313-cp313-linux_x86_64.whl (from torch==2.8.0a0+gitaed0b7a)
2025-03-14T04:07:34.0649864Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torch==2.8.0a0+gitaed0b7a->torch==2.8.0a0+gitaed0b7a) (3.16.1)
2025-03-14T04:07:34.0653118Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torch==2.8.0a0+gitaed0b7a->torch==2.8.0a0+gitaed0b7a) (4.12.2)
2025-03-14T04:07:34.0663789Z Requirement already satisfied: setuptools in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torch==2.8.0a0+gitaed0b7a->torch==2.8.0a0+gitaed0b7a) (75.8.0)
2025-03-14T04:07:34.0667473Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torch==2.8.0a0+gitaed0b7a->torch==2.8.0a0+gitaed0b7a) (1.13.3)
2025-03-14T04:07:34.0670616Z Requirement already satisfied: networkx in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torch==2.8.0a0+gitaed0b7a->torch==2.8.0a0+gitaed0b7a) (2.8.8)
2025-03-14T04:07:34.0673594Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torch==2.8.0a0+gitaed0b7a->torch==2.8.0a0+gitaed0b7a) (3.1.6)
2025-03-14T04:07:34.0676741Z Requirement already satisfied: fsspec in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torch==2.8.0a0+gitaed0b7a->torch==2.8.0a0+gitaed0b7a) (2024.10.0)
2025-03-14T04:07:34.0695240Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torch==2.8.0a0+gitaed0b7a->torch==2.8.0a0+gitaed0b7a) (3.3.0)
2025-03-14T04:07:34.0708924Z Requirement already satisfied: numpy>=1.7 in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from opt-einsum>=3.3->torch==2.8.0a0+gitaed0b7a->torch==2.8.0a0+gitaed0b7a) (2.1.2)
2025-03-14T04:07:34.0728641Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from sympy>=1.13.3->torch==2.8.0a0+gitaed0b7a->torch==2.8.0a0+gitaed0b7a) (1.3.0)
2025-03-14T04:07:34.0836796Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from jinja2->torch==2.8.0a0+gitaed0b7a->torch==2.8.0a0+gitaed0b7a) (3.0.2)
2025-03-14T04:07:34.3097479Z Installing collected packages: torch
2025-03-14T04:07:44.0400566Z Successfully installed torch-2.8.0a0+gitaed0b7a
2025-03-14T04:07:44.1375311Z + export TERM=vt100
2025-03-14T04:07:44.1375622Z + TERM=vt100
2025-03-14T04:07:44.1377479Z ++ dirname .ci/pytorch/test.sh
2025-03-14T04:07:44.1395219Z + source .ci/pytorch/common.sh
2025-03-14T04:07:44.1402310Z +++ dirname .ci/pytorch/common.sh
2025-03-14T04:07:44.1408156Z ++ source .ci/pytorch/common_utils.sh
2025-03-14T04:07:44.1414904Z +++ declare -f -t trap_add
2025-03-14T04:07:44.1421354Z ++ set -ex -o pipefail
2025-03-14T04:07:44.1421759Z ++ [[ linux-focal-py3.13-clang10 == *rocm* ]]
2025-03-14T04:07:44.1422122Z ++ BUILD_TEST_LIBTORCH=0
2025-03-14T04:07:44.1423163Z + [[ linux-focal-py3.13-clang10 != *rocm* ]]
2025-03-14T04:07:44.1423615Z + [[ linux-focal-py3.13-clang10 != *s390x* ]]
2025-03-14T04:07:44.1423990Z + [[ -d /var/lib/jenkins/workspace ]]
2025-03-14T04:07:44.1426297Z ++ stat -c %u /var/lib/jenkins/workspace
2025-03-14T04:07:44.1464961Z + WORKSPACE_ORIGINAL_OWNER_ID=1000
2025-03-14T04:07:44.1465606Z + trap_add cleanup_workspace EXIT
2025-03-14T04:07:44.1465969Z + trap_add_cmd=cleanup_workspace
2025-03-14T04:07:44.1466287Z + shift
2025-03-14T04:07:44.1466534Z + for trap_add_name in "$@"
2025-03-14T04:07:44.1472049Z +++ trap -p EXIT
2025-03-14T04:07:44.1474543Z ++ eval 'extract_trap_cmd '
2025-03-14T04:07:44.1474877Z +++ extract_trap_cmd
2025-03-14T04:07:44.1475257Z +++ printf '%s\n' ''
2025-03-14T04:07:44.1475555Z ++ printf '%s\n' cleanup_workspace
2025-03-14T04:07:44.1477201Z + trap -- '
2025-03-14T04:07:44.1477460Z cleanup_workspace' EXIT
2025-03-14T04:07:44.1477995Z + sudo chown -R jenkins /var/lib/jenkins/workspace
2025-03-14T04:07:44.6477966Z + git config --global --add safe.directory /var/lib/jenkins/workspace
2025-03-14T04:07:44.6493007Z + echo 'Environment variables:'
2025-03-14T04:07:44.6493435Z Environment variables:
2025-03-14T04:07:44.6493721Z + env
2025-03-14T04:07:44.6513132Z INSTALLED_DB=yes
2025-03-14T04:07:44.6513888Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-03-14T04:07:44.6514759Z CONTINUE_THROUGH_ERROR=False
2025-03-14T04:07:44.6515370Z BUILD_ENVIRONMENT=linux-focal-py3.13-clang10
2025-03-14T04:07:44.6515755Z HOSTNAME=816cc0d6e32e
2025-03-14T04:07:44.6516613Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_50da2f7f-a160-4c3d-ad12-a8bd6bdf8371
2025-03-14T04:07:44.6517649Z GITHUB_ACTION=__self
2025-03-14T04:07:44.6518153Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2025-03-14T04:07:44.6518530Z GITHUB_RUN_NUMBER=299021
2025-03-14T04:07:44.6518870Z TEST_CONFIG=crossref
2025-03-14T04:07:44.6519243Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-03-14T04:07:44.6519711Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2025-03-14T04:07:44.6520093Z IS_A100_RUNNER=0
2025-03-14T04:07:44.6520601Z SCRIBE_GRAPHQL_ACCESS_TOKEN=***
2025-03-14T04:07:44.6521000Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot
2025-03-14T04:07:44.6521347Z GITHUB_REF_TYPE=branch
2025-03-14T04:07:44.6521689Z TORCH_CUDA_ARCH_LIST=Maxwell
2025-03-14T04:07:44.6522049Z BASE_SHA=aed0b7a742a2d7b7901790622829cbd2135049a4
2025-03-14T04:07:44.6522467Z XLA_CUDA=
2025-03-14T04:07:44.6522822Z HUGGING_FACE_HUB_TOKEN=***
2025-03-14T04:07:44.6524829Z ***
2025-03-14T04:07:44.6525091Z GITHUB_REPOSITORY_ID=65600975
2025-03-14T04:07:44.6525455Z GITHUB_ACTIONS=true
2025-03-14T04:07:44.6525763Z SHA1=aed0b7a742a2d7b7901790622829cbd2135049a4
2025-03-14T04:07:44.6526218Z GITHUB_SHA=aed0b7a742a2d7b7901790622829cbd2135049a4
2025-03-14T04:07:44.6526783Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/pull.yml@refs/heads/main
2025-03-14T04:07:44.6527338Z UCC_HOME=/usr
2025-03-14T04:07:44.6527640Z VERBOSE_TEST_LOGS=False
2025-03-14T04:07:44.6527933Z GITHUB_REF=refs/heads/main
2025-03-14T04:07:44.6528220Z SHARD_NUMBER=1
2025-03-14T04:07:44.6528534Z GITHUB_REF_PROTECTED=true
2025-03-14T04:07:44.6528822Z HOME=/var/lib/jenkins
2025-03-14T04:07:44.6529180Z GITHUB_API_URL=https://api.github.com
2025-03-14T04:07:44.6529532Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0
2025-03-14T04:07:44.6529899Z UCX_COMMIT=
2025-03-14T04:07:44.6530153Z NUM_TEST_SHARDS=2
2025-03-14T04:07:44.6530407Z UCX_HOME=/usr
2025-03-14T04:07:44.6531073Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_50da2f7f-a160-4c3d-ad12-a8bd6bdf8371
2025-03-14T04:07:44.6531922Z JOB_NAME=linux-focal-py3.13-clang10 / test (crossref, 1, 2, lf.linux.2xlarge)
2025-03-14T04:07:44.6532800Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_50da2f7f-a160-4c3d-ad12-a8bd6bdf8371
2025-03-14T04:07:44.6533671Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2025-03-14T04:07:44.6534223Z GITHUB_EVENT_NAME=push
2025-03-14T04:07:44.6534552Z DASHBOARD_TAG=
2025-03-14T04:07:44.6534812Z GITHUB_RUN_ID=13849515290
2025-03-14T04:07:44.6535497Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_50da2f7f-a160-4c3d-ad12-a8bd6bdf8371
2025-03-14T04:07:44.6536265Z GITHUB_ACTOR=pytorchmergebot
2025-03-14T04:07:44.6536755Z PR_NUMBER=
2025-03-14T04:07:44.6537002Z DESIRED_CUDA=
2025-03-14T04:07:44.6537258Z GITHUB_RUN_ATTEMPT=1
2025-03-14T04:07:44.6537547Z ANACONDA_PYTHON_VERSION=3.13
2025-03-14T04:07:44.6537919Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-03-14T04:07:44.6538351Z TERM=vt100
2025-03-14T04:07:44.6538603Z INSTALLED_VISION=yes
2025-03-14T04:07:44.6538869Z BRANCH=main
2025-03-14T04:07:44.6539120Z SCCACHE_REGION=us-east-1
2025-03-14T04:07:44.6539424Z OPENSSL_ROOT_DIR=/opt/openssl
2025-03-14T04:07:44.6539740Z CUDA_PATH=/usr/local/cuda
2025-03-14T04:07:44.6540404Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2025-03-14T04:07:44.6541032Z GITHUB_SERVER_URL=https://github.com
2025-03-14T04:07:44.6541361Z UCC_COMMIT=
2025-03-14T04:07:44.6541599Z REENABLED_ISSUES=
2025-03-14T04:07:44.6541849Z DOCS=
2025-03-14T04:07:44.6542071Z SHLVL=1
2025-03-14T04:07:44.6542295Z MAX_JOBS=6
2025-03-14T04:07:44.6542541Z GITHUB_ACTOR_ID=97764156
2025-03-14T04:07:44.6542922Z GITHUB_WORKFLOW_SHA=aed0b7a742a2d7b7901790622829cbd2135049a4
2025-03-14T04:07:44.6543326Z GITHUB_REF_NAME=main
2025-03-14T04:07:44.6543741Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2025-03-14T04:07:44.6544206Z GITHUB_JOB=test
2025-03-14T04:07:44.6544467Z NO_TEST_TIMEOUT=False
2025-03-14T04:07:44.6544743Z TD_DISTRIBUTED=False
2025-03-14T04:07:44.6545041Z GITHUB_REPOSITORY=pytorch/pytorch
2025-03-14T04:07:44.6545430Z GITHUB_RETENTION_DAYS=90
2025-03-14T04:07:44.6545728Z OPENSSL_DIR=/opt/openssl
2025-03-14T04:07:44.6546023Z GITHUB_ACTION_REPOSITORY=
2025-03-14T04:07:44.6546863Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.13/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-03-14T04:07:44.6547725Z GITHUB_BASE_REF=
2025-03-14T04:07:44.6547983Z INSTALLED_ACL=
2025-03-14T04:07:44.6548375Z ARTIFACTS_FILE_SUFFIX=test-crossref-1-2-lf.linux.2xlarge_38754600129
2025-03-14T04:07:44.6548828Z CI=true
2025-03-14T04:07:44.6549091Z GITHUB_REPOSITORY_OWNER=pytorch
2025-03-14T04:07:44.6549404Z JOB_ID=38754600129
2025-03-14T04:07:44.6549667Z INSTALLED_PROTOBUF=yes
2025-03-14T04:07:44.6549943Z GITHUB_HEAD_REF=
2025-03-14T04:07:44.6550204Z GITHUB_ACTION_REF=
2025-03-14T04:07:44.6550523Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2025-03-14T04:07:44.6550913Z TEST_SHOWLOCALS=False
2025-03-14T04:07:44.6551192Z GITHUB_WORKFLOW=pull
2025-03-14T04:07:44.6551487Z DEBIAN_FRONTEND=noninteractive
2025-03-14T04:07:44.6552170Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_50da2f7f-a160-4c3d-ad12-a8bd6bdf8371
2025-03-14T04:07:44.6552868Z NO_TD=False
2025-03-14T04:07:44.6553129Z SKIP_SCCACHE_INITIALIZATION=1
2025-03-14T04:07:44.6553439Z _=/usr/bin/env
2025-03-14T04:07:44.6553783Z ++ python -c 'import site; print(site.getsitepackages()[0])'
2025-03-14T04:07:44.6658150Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch
2025-03-14T04:07:44.6658868Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/bin
2025-03-14T04:07:44.6659692Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib
2025-03-14T04:07:44.6660664Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/test
2025-03-14T04:07:44.6661298Z + BUILD_DIR=build
2025-03-14T04:07:44.6661575Z + BUILD_RENAMED_DIR=build_renamed
2025-03-14T04:07:44.6661951Z + BUILD_BIN_DIR=build/bin
2025-03-14T04:07:44.6662240Z + SHARD_NUMBER=1
2025-03-14T04:07:44.6662501Z + NUM_TEST_SHARDS=2
2025-03-14T04:07:44.6662834Z + export TORCH_SERIALIZATION_DEBUG=1
2025-03-14T04:07:44.6663191Z + TORCH_SERIALIZATION_DEBUG=1
2025-03-14T04:07:44.6663550Z + export VALGRIND=ON
2025-03-14T04:07:44.6663819Z + VALGRIND=ON
2025-03-14T04:07:44.6664161Z + [[ linux-focal-py3.13-clang10 == *clang9* ]]
2025-03-14T04:07:44.6664681Z + [[ linux-focal-py3.13-clang10 == *xpu* ]]
2025-03-14T04:07:44.6665210Z + [[ linux-focal-py3.13-clang10 == *s390x* ]]
2025-03-14T04:07:44.6665612Z + [[ 0 == \1 ]]
2025-03-14T04:07:44.6666033Z + [[ False == \1 ]]
2025-03-14T04:07:44.6666381Z + [[ linux-focal-py3.13-clang10 != *bazel* ]]
2025-03-14T04:07:44.6666760Z ++ realpath build/custom_test_artifacts
2025-03-14T04:07:44.6685131Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts
2025-03-14T04:07:44.6685665Z + [[ -n '' ]]
2025-03-14T04:07:44.6685935Z + echo 'Environment variables'
2025-03-14T04:07:44.6686249Z Environment variables
2025-03-14T04:07:44.6686515Z + env
2025-03-14T04:07:44.6691816Z INSTALLED_DB=yes
2025-03-14T04:07:44.6693378Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-03-14T04:07:44.6694977Z CONTINUE_THROUGH_ERROR=False
2025-03-14T04:07:44.6695333Z BUILD_ENVIRONMENT=linux-focal-py3.13-clang10
2025-03-14T04:07:44.6695701Z HOSTNAME=816cc0d6e32e
2025-03-14T04:07:44.6696330Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_50da2f7f-a160-4c3d-ad12-a8bd6bdf8371
2025-03-14T04:07:44.6697012Z GITHUB_ACTION=__self
2025-03-14T04:07:44.6697311Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2025-03-14T04:07:44.6697645Z GITHUB_RUN_NUMBER=299021
2025-03-14T04:07:44.6697930Z TEST_CONFIG=crossref
2025-03-14T04:07:44.6698216Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-03-14T04:07:44.6698573Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2025-03-14T04:07:44.6698912Z IS_A100_RUNNER=0
2025-03-14T04:07:44.6699419Z SCRIBE_GRAPHQL_ACCESS_TOKEN=***
2025-03-14T04:07:44.6699769Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot
2025-03-14T04:07:44.6700121Z GITHUB_REF_TYPE=branch
2025-03-14T04:07:44.6700414Z TORCH_CUDA_ARCH_LIST=Maxwell
2025-03-14T04:07:44.6700754Z BASE_SHA=aed0b7a742a2d7b7901790622829cbd2135049a4
2025-03-14T04:07:44.6701120Z XLA_CUDA=
2025-03-14T04:07:44.6701474Z HUGGING_FACE_HUB_TOKEN=***
2025-03-14T04:07:44.6702043Z ***
2025-03-14T04:07:44.6702292Z GITHUB_REPOSITORY_ID=65600975
2025-03-14T04:07:44.6702609Z GITHUB_ACTIONS=true
2025-03-14T04:07:44.6702910Z SHA1=aed0b7a742a2d7b7901790622829cbd2135049a4
2025-03-14T04:07:44.6703319Z GITHUB_SHA=aed0b7a742a2d7b7901790622829cbd2135049a4
2025-03-14T04:07:44.6703871Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/pull.yml@refs/heads/main
2025-03-14T04:07:44.6704372Z UCC_HOME=/usr
2025-03-14T04:07:44.6704635Z TORCH_SERIALIZATION_DEBUG=1
2025-03-14T04:07:44.6704938Z VERBOSE_TEST_LOGS=False
2025-03-14T04:07:44.6705227Z GITHUB_REF=refs/heads/main
2025-03-14T04:07:44.6705517Z SHARD_NUMBER=1
2025-03-14T04:07:44.6705778Z GITHUB_REF_PROTECTED=true
2025-03-14T04:07:44.6706068Z HOME=/var/lib/jenkins
2025-03-14T04:07:44.6706373Z GITHUB_API_URL=https://api.github.com
2025-03-14T04:07:44.6706744Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0
2025-03-14T04:07:44.6707052Z UCX_COMMIT=
2025-03-14T04:07:44.6707288Z NUM_TEST_SHARDS=2
2025-03-14T04:07:44.6707541Z UCX_HOME=/usr
2025-03-14T04:07:44.6708150Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_50da2f7f-a160-4c3d-ad12-a8bd6bdf8371
2025-03-14T04:07:44.6708997Z JOB_NAME=linux-focal-py3.13-clang10 / test (crossref, 1, 2, lf.linux.2xlarge)
2025-03-14T04:07:44.6709822Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_50da2f7f-a160-4c3d-ad12-a8bd6bdf8371
2025-03-14T04:07:44.6710708Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2025-03-14T04:07:44.6711249Z GITHUB_EVENT_NAME=push
2025-03-14T04:07:44.6711525Z DASHBOARD_TAG=
2025-03-14T04:07:44.6711782Z GITHUB_RUN_ID=13849515290
2025-03-14T04:07:44.6712466Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_50da2f7f-a160-4c3d-ad12-a8bd6bdf8371
2025-03-14T04:07:44.6713213Z GITHUB_ACTOR=pytorchmergebot
2025-03-14T04:07:44.6713516Z PR_NUMBER=
2025-03-14T04:07:44.6713752Z DESIRED_CUDA=
2025-03-14T04:07:44.6714002Z GITHUB_RUN_ATTEMPT=1
2025-03-14T04:07:44.6714268Z VALGRIND=ON
2025-03-14T04:07:44.6714526Z ANACONDA_PYTHON_VERSION=3.13
2025-03-14T04:07:44.6714893Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-03-14T04:07:44.6715394Z TERM=vt100
2025-03-14T04:07:44.6715788Z INSTALLED_VISION=yes
2025-03-14T04:07:44.6716059Z BRANCH=main
2025-03-14T04:07:44.6716302Z SCCACHE_REGION=us-east-1
2025-03-14T04:07:44.6716609Z OPENSSL_ROOT_DIR=/opt/openssl
2025-03-14T04:07:44.6716928Z CUDA_PATH=/usr/local/cuda
2025-03-14T04:07:44.6717498Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2025-03-14T04:07:44.6718129Z GITHUB_SERVER_URL=https://github.com
2025-03-14T04:07:44.6718460Z UCC_COMMIT=
2025-03-14T04:07:44.6718699Z REENABLED_ISSUES=
2025-03-14T04:07:44.6718951Z DOCS=
2025-03-14T04:07:44.6719170Z SHLVL=1
2025-03-14T04:07:44.6719508Z MAX_JOBS=6
2025-03-14T04:07:44.6719755Z GITHUB_ACTOR_ID=97764156
2025-03-14T04:07:44.6720133Z GITHUB_WORKFLOW_SHA=aed0b7a742a2d7b7901790622829cbd2135049a4
2025-03-14T04:07:44.6720546Z GITHUB_REF_NAME=main
2025-03-14T04:07:44.6720955Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2025-03-14T04:07:44.6721418Z GITHUB_JOB=test
2025-03-14T04:07:44.6721661Z NO_TEST_TIMEOUT=False
2025-03-14T04:07:44.6721943Z TD_DISTRIBUTED=False
2025-03-14T04:07:44.6722236Z GITHUB_REPOSITORY=pytorch/pytorch
2025-03-14T04:07:44.6722571Z GITHUB_RETENTION_DAYS=90
2025-03-14T04:07:44.6722862Z OPENSSL_DIR=/opt/openssl
2025-03-14T04:07:44.6723157Z GITHUB_ACTION_REPOSITORY=
2025-03-14T04:07:44.6723990Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.13/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-03-14T04:07:44.6724848Z GITHUB_BASE_REF=
2025-03-14T04:07:44.6725102Z INSTALLED_ACL=
2025-03-14T04:07:44.6725492Z ARTIFACTS_FILE_SUFFIX=test-crossref-1-2-lf.linux.2xlarge_38754600129
2025-03-14T04:07:44.6725941Z CI=true
2025-03-14T04:07:44.6726192Z GITHUB_REPOSITORY_OWNER=pytorch
2025-03-14T04:07:44.6726497Z JOB_ID=38754600129
2025-03-14T04:07:44.6726761Z INSTALLED_PROTOBUF=yes
2025-03-14T04:07:44.6727038Z GITHUB_HEAD_REF=
2025-03-14T04:07:44.6727292Z GITHUB_ACTION_REF=
2025-03-14T04:07:44.6727599Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2025-03-14T04:07:44.6727994Z TEST_SHOWLOCALS=False
2025-03-14T04:07:44.6728274Z GITHUB_WORKFLOW=pull
2025-03-14T04:07:44.6728566Z DEBIAN_FRONTEND=noninteractive
2025-03-14T04:07:44.6729245Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_50da2f7f-a160-4c3d-ad12-a8bd6bdf8371
2025-03-14T04:07:44.6729939Z NO_TD=False
2025-03-14T04:07:44.6730196Z SKIP_SCCACHE_INITIALIZATION=1
2025-03-14T04:07:44.6730501Z _=/usr/bin/env
2025-03-14T04:07:44.6730756Z + echo 'Testing pytorch'
2025-03-14T04:07:44.6731039Z Testing pytorch
2025-03-14T04:07:44.6731311Z + export LANG=C.UTF-8
2025-03-14T04:07:44.6731576Z + LANG=C.UTF-8
2025-03-14T04:07:44.6784463Z + PR_NUMBER=
2025-03-14T04:07:44.6784889Z + [[ crossref == \d\e\f\a\u\l\t ]]
2025-03-14T04:07:44.6785440Z + [[ crossref == \d\i\s\t\r\i\b\u\t\e\d ]]
2025-03-14T04:07:44.6785896Z + [[ crossref == \s\l\o\w ]]
2025-03-14T04:07:44.6786451Z + [[ linux-focal-py3.13-clang10 == *slow-gradcheck* ]]
2025-03-14T04:07:44.6787128Z + [[ linux-focal-py3.13-clang10 == *cuda* ]]
2025-03-14T04:07:44.6787673Z + [[ linux-focal-py3.13-clang10 == *rocm* ]]
2025-03-14T04:07:44.6788113Z + [[ linux-focal-py3.13-clang10 == *xpu* ]]
2025-03-14T04:07:44.6788519Z + [[ crossref == *crossref* ]]
2025-03-14T04:07:44.6788847Z + export PYTORCH_TEST_WITH_CROSSREF=1
2025-03-14T04:07:44.6789196Z + PYTORCH_TEST_WITH_CROSSREF=1
2025-03-14T04:07:44.6789533Z + [[ linux-focal-py3.13-clang10 == *rocm* ]]
2025-03-14T04:07:44.6789906Z + [[ linux-focal-py3.13-clang10 == *xpu* ]]
2025-03-14T04:07:44.6790294Z + [[ linux-focal-py3.13-clang10 != *-bazel-* ]]
2025-03-14T04:07:44.6790685Z + pip_install --user ninja==1.10.2
2025-03-14T04:07:44.6791106Z + pip_install_pkg='python3 -m pip install --progress-bar off'
2025-03-14T04:07:44.6791631Z + python3 -m pip install --progress-bar off --user ninja==1.10.2
2025-03-14T04:07:45.1700293Z Collecting ninja==1.10.2
2025-03-14T04:07:45.2053945Z   Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB)
2025-03-14T04:07:45.2159506Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB)
2025-03-14T04:07:45.3890160Z Installing collected packages: ninja
2025-03-14T04:07:45.3966698Z   WARNING: The script ninja is installed in '/var/lib/jenkins/.local/bin' which is not on PATH.
2025-03-14T04:07:45.3967968Z   Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
2025-03-14T04:07:45.4023786Z Successfully installed ninja-1.10.2
2025-03-14T04:07:45.4953605Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.13/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-03-14T04:07:45.4956102Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.13/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-03-14T04:07:45.4957161Z + [[ linux-focal-py3.13-clang10 == *aarch64* ]]
2025-03-14T04:07:45.4957532Z + install_tlparse
2025-03-14T04:07:45.4957826Z + pip_install --user tlparse==0.3.30
2025-03-14T04:07:45.4958265Z + pip_install_pkg='python3 -m pip install --progress-bar off'
2025-03-14T04:07:45.4958807Z + python3 -m pip install --progress-bar off --user tlparse==0.3.30
2025-03-14T04:07:45.9442482Z Collecting tlparse==0.3.30
2025-03-14T04:07:45.9786132Z   Downloading tlparse-0.3.30-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.9 kB)
2025-03-14T04:07:45.9894144Z Downloading tlparse-0.3.30-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.3 MB)
2025-03-14T04:07:46.1897402Z Installing collected packages: tlparse
2025-03-14T04:07:46.2257013Z Successfully installed tlparse-0.3.30
2025-03-14T04:07:46.3208194Z ++ python -m site --user-base
2025-03-14T04:07:46.3357106Z + PATH=/var/lib/jenkins/.local/bin:/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.13/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-03-14T04:07:46.3358959Z + [[ linux-focal-py3.13-clang10 == *asan* ]]
2025-03-14T04:07:46.3359590Z + [[ linux-focal-py3.13-clang10 == *-debug* ]]
2025-03-14T04:07:46.3359996Z + [[ linux-focal-py3.13-clang10 != *-bazel-* ]]
2025-03-14T04:07:46.3360549Z + echo 'We are not in debug mode: linux-focal-py3.13-clang10. Expect the assertion to pass'
2025-03-14T04:07:46.3361238Z We are not in debug mode: linux-focal-py3.13-clang10. Expect the assertion to pass
2025-03-14T04:07:46.3361955Z + cd test
2025-03-14T04:07:46.3362517Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)'
2025-03-14T04:07:47.7728692Z + [[ crossref == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]]
2025-03-14T04:07:47.7729185Z + [[ crossref == \n\o\g\p\u\_\A\V\X\5\1\2 ]]
2025-03-14T04:07:47.7734350Z + DYNAMO_BENCHMARK_FLAGS=()
2025-03-14T04:07:47.7736215Z + [[ crossref == *pr_time_benchmarks* ]]
2025-03-14T04:07:47.7736643Z + [[ crossref == *dynamo_eager* ]]
2025-03-14T04:07:47.7737002Z + [[ crossref == *aot_eager* ]]
2025-03-14T04:07:47.7737318Z + [[ crossref == *aot_inductor* ]]
2025-03-14T04:07:47.7737667Z + [[ crossref == *max_autotune_inductor* ]]
2025-03-14T04:07:47.7738012Z + [[ crossref == *inductor* ]]
2025-03-14T04:07:47.7738330Z + [[ crossref == *dynamic* ]]
2025-03-14T04:07:47.7738639Z + [[ crossref == *cpu* ]]
2025-03-14T04:07:47.7738970Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda)
2025-03-14T04:07:47.7770217Z + [[ linux-focal-py3.13-clang10 == *libtorch* ]]
2025-03-14T04:07:47.7770675Z + [[ linux-focal-py3.13-clang10 == *-bazel-* ]]
2025-03-14T04:07:47.7773540Z + cd test
2025-03-14T04:07:47.7774197Z + python -c 'import torch; print(torch.__config__.show())'
2025-03-14T04:07:48.9149880Z PyTorch built with:
2025-03-14T04:07:48.9150216Z   - GCC 4.2
2025-03-14T04:07:48.9150523Z   - C++ Version: 201703
2025-03-14T04:07:48.9150811Z   - clang 10.0.0
2025-03-14T04:07:48.9151710Z   - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications
2025-03-14T04:07:48.9152573Z   - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-03-14T04:07:48.9153114Z   - OpenMP 201511 (a.k.a. OpenMP 4.5)
2025-03-14T04:07:48.9153520Z   - LAPACK is enabled (usually provided by MKL)
2025-03-14T04:07:48.9153915Z   - NNPACK is enabled
2025-03-14T04:07:48.9154210Z   - CPU capability usage: AVX512
2025-03-14T04:07:48.9160175Z   - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=aed0b7a742a2d7b7901790622829cbd2135049a4, CXX_COMPILER=/opt/cache/bin/clang++, CXX_FLAGS= -D_GLIBCXX_USE_CXX11_ABI=1 -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOCUPTI -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=braced-scalar-init -Werror=range-loop-construct -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wvla-extension -Wnewline-eof -Winconsistent-missing-override -Winconsistent-missing-destructor-override -Wno-pass-failed -Wno-error=old-style-cast -Wconstant-conversion -Qunused-arguments -fcolor-diagnostics -faligned-new -Werror -fno-math-errno -fno-trapping-math -Werror=format, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.8.0, USE_CUDA=OFF, USE_CUDNN=OFF, USE_CUSPARSELT=OFF, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=OFF, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, 
2025-03-14T04:07:48.9166348Z 
2025-03-14T04:07:49.1568943Z + cd test
2025-03-14T04:07:49.1569381Z + python -c 'import torch; print(torch.__config__.parallel_info())'
2025-03-14T04:07:50.2907670Z ATen/Parallel:
2025-03-14T04:07:50.2908040Z 	at::get_num_threads() : 4
2025-03-14T04:07:50.2908390Z 	at::get_num_interop_threads() : 4
2025-03-14T04:07:50.2908767Z OpenMP 201511 (a.k.a. OpenMP 4.5)
2025-03-14T04:07:50.2909091Z 	omp_get_max_threads() : 4
2025-03-14T04:07:50.2909706Z Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications
2025-03-14T04:07:50.2910349Z 	mkl_get_max_threads() : 4
2025-03-14T04:07:50.2910770Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-03-14T04:07:50.2911254Z std::thread::hardware_concurrency() : 8
2025-03-14T04:07:50.2911604Z Environment variables:
2025-03-14T04:07:50.2911893Z 	OMP_NUM_THREADS : [not set]
2025-03-14T04:07:50.2912196Z 	MKL_NUM_THREADS : [not set]
2025-03-14T04:07:50.2912508Z ATen parallel backend: OpenMP
2025-03-14T04:07:50.2912721Z 
2025-03-14T04:07:50.5424668Z + [[ crossref == *numpy_2* ]]
2025-03-14T04:07:50.5425304Z + [[ linux-focal-py3.13-clang10 == *aarch64* ]]
2025-03-14T04:07:50.5425693Z + [[ crossref == *backward* ]]
2025-03-14T04:07:50.5426008Z + [[ crossref == *xla* ]]
2025-03-14T04:07:50.5426314Z + [[ crossref == *executorch* ]]
2025-03-14T04:07:50.5426674Z + [[ crossref == \j\i\t\_\l\e\g\a\c\y ]]
2025-03-14T04:07:50.5427051Z + [[ linux-focal-py3.13-clang10 == *libtorch* ]]
2025-03-14T04:07:50.5427432Z + [[ crossref == distributed ]]
2025-03-14T04:07:50.5427785Z + [[ crossref == *inductor_distributed* ]]
2025-03-14T04:07:50.5428151Z + [[ crossref == *inductor-halide* ]]
2025-03-14T04:07:50.5428495Z + [[ crossref == *inductor-triton-cpu* ]]
2025-03-14T04:07:50.5428881Z + [[ crossref == *inductor-micro-benchmark* ]]
2025-03-14T04:07:50.5429252Z + [[ crossref == *huggingface* ]]
2025-03-14T04:07:50.5429586Z + [[ crossref == *timm* ]]
2025-03-14T04:07:50.5429885Z + [[ crossref == cachebench ]]
2025-03-14T04:07:50.5430209Z + [[ crossref == verify_cachebench ]]
2025-03-14T04:07:50.5430555Z + [[ crossref == *torchbench* ]]
2025-03-14T04:07:50.5430894Z + [[ crossref == *inductor_cpp_wrapper* ]]
2025-03-14T04:07:50.5431250Z + [[ crossref == *inductor* ]]
2025-03-14T04:07:50.5431571Z + [[ crossref == *dynamo_wrapped* ]]
2025-03-14T04:07:50.5432199Z + [[ linux-focal-py3.13-clang10 == *rocm* ]]
2025-03-14T04:07:50.5432548Z + [[ 1 == 1 ]]
2025-03-14T04:07:50.5432803Z + [[ 2 -gt 1 ]]
2025-03-14T04:07:50.5433094Z + test_lazy_tensor_meta_reference_disabled
2025-03-14T04:07:50.5433529Z + export TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE=1
2025-03-14T04:07:50.5434000Z + TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE=1
2025-03-14T04:07:50.5434466Z + echo 'Testing lazy tensor operations without meta reference'
2025-03-14T04:07:50.5434957Z Testing lazy tensor operations without meta reference
2025-03-14T04:07:50.5435577Z + python test/run_test.py --include lazy/test_ts_opinfo.py --verbose
2025-03-14T04:07:50.6539858Z /var/lib/jenkins/workspace/test/run_test.py:24: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html
2025-03-14T04:07:50.6540810Z   import pkg_resources
2025-03-14T04:07:54.8650183Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-03-14T04:07:54.9402246Z Ignoring disabled issues:  ['']
2025-03-14T04:07:54.9576503Z Found test times from artifacts
2025-03-14T04:07:55.0279618Z Found test times from artifacts
2025-03-14T04:07:55.0301656Z Running all tests
2025-03-14T04:07:55.0305253Z Running parallel tests on 3 processes
2025-03-14T04:07:55.0305953Z Name: tests to run (est. time: 0.48min)
2025-03-14T04:07:55.0306325Z   Serial tests (0):
2025-03-14T04:07:55.0306594Z   Parallel tests (1):
2025-03-14T04:07:55.0306882Z     lazy/test_ts_opinfo 1/1
2025-03-14T04:07:55.0307225Z Name: excluded (est. time: 0.0min)
2025-03-14T04:07:55.0307543Z   Serial tests (0):
2025-03-14T04:07:55.0307796Z   Parallel tests (0):
2025-03-14T04:07:55.0363943Z Running lazy/test_ts_opinfo 1/1 ... [2025-03-14 04:07:55.036080]
2025-03-14T04:07:55.0364808Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:07:55.0369130Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'lazy/test_ts_opinfo.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'] ... [2025-03-14 04:07:55.036532]
2025-03-14T04:08:00.2597529Z 
2025-03-14T04:08:00.2598598Z lazy/test_ts_opinfo 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_ts_opinfo_1.1_2d61c57edd7a6ece_.log
2025-03-14T04:08:00.2599424Z Running 0 items in this shard:
2025-03-14T04:08:00.2599632Z 
2025-03-14T04:08:00.2606035Z Running lazy/test_ts_opinfo 1/1 ... [2025-03-14 04:08:00.260357]
2025-03-14T04:08:00.2606796Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:08:00.2610712Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'lazy/test_ts_opinfo.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'] ... [2025-03-14 04:08:00.260818]
2025-03-14T04:08:16.6971157Z 
2025-03-14T04:08:16.6972167Z lazy/test_ts_opinfo 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_ts_opinfo_1.1_4ab1b86906a8397a_.log
2025-03-14T04:08:16.7094684Z Running 292 items in this shard: test/lazy/test_ts_opinfo.py::TestLazyTensor::testConvolutionBackward, test/lazy/test_ts_opinfo.py::TestLazyTensor::test_tensor_ctr, test/lazy/test_ts_opinfo.py::TestLazyTensor::test_view_mark_step_preserved, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness__softmax_backward_data_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_abs_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_addcmul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_addmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_addmm_decomposed_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_alias_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_arange_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_as_strided_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_as_strided_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_baddbmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_block_diag_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_bmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_cat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_clamp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_clamp_min_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_constant_pad_nd_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_cos_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_cumsum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_diag_embed_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_diagonal_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_diagonal_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_div_floor_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_div_no_rounding_mode_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_div_trunc_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_empty_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_empty_strided_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_eq_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_exp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_expand_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_flip_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_floor_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_frac_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_gather_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_ge_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_grid_sampler_2d_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_gt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_le_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_log2_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_log_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_logsumexp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_lt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_masked_fill_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_max_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_max_pool2d_with_indices_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_max_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_max_reduction_with_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_maximum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_mean_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_min_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_min_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_min_reduction_with_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_minimum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_mm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_mul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_mv_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_narrow_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_native_batch_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_native_dropout_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_native_layer_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_ne_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_neg_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_new_empty_strided_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_norm_fro_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_norm_inf_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_norm_nuc_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_permute_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_reciprocal_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_remainder_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_repeat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_rsqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_scatter_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_select_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sgn_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sigmoid_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_slice_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sort_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_squeeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_stack_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_std_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_std_unbiased_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sub_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_t_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_tanh_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_topk_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_trace_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_transpose_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_tril_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_triu_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_trunc_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_unfold_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_uniform_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_unsqueeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_view_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir__softmax_backward_data_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_abs_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_addcmul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_addmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_addmm_decomposed_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_alias_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_arange_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_as_strided_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_as_strided_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_baddbmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_block_diag_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_bmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_cat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_clamp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_clamp_min_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_constant_pad_nd_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_cos_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_cumsum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_diag_embed_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_diagonal_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_diagonal_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_div_floor_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_div_no_rounding_mode_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_div_trunc_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_empty_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_empty_strided_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_eq_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_exp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_expand_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_flip_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_floor_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_frac_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_gather_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_ge_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_grid_sampler_2d_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_gt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_le_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_log2_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_log_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_logsumexp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_lt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_masked_fill_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_max_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_max_pool2d_with_indices_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_max_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_max_reduction_with_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_maximum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_mean_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_min_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_min_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_min_reduction_with_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_minimum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_mm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_mul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_mv_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_narrow_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_native_batch_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_native_dropout_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_native_layer_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_ne_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_neg_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_new_empty_strided_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_norm_fro_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_norm_inf_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_norm_nuc_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_permute_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_reciprocal_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_remainder_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_repeat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_rsqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_scatter_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_select_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sgn_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sigmoid_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_slice_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sort_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_squeeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_stack_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_std_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_std_unbiased_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sub_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_t_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_tanh_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_topk_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_trace_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_transpose_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_tril_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_triu_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_trunc_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_unfold_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_uniform_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_unsqueeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_view_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy__softmax_backward_data_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_abs_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_addcdiv_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_addcmul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_addmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_addmm_decomposed_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_alias_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_arange_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_as_strided_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_as_strided_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_baddbmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_bernoulli_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_bmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_cat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_clamp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_clamp_min_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_constant_pad_nd_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_cos_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_cumsum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_diagonal_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_diagonal_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_div_floor_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_div_no_rounding_mode_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_div_trunc_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_empty_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_empty_strided_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_eq_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_exp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_expand_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_flip_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_floor_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_frac_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_gather_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_ge_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_grid_sampler_2d_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_gt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_le_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_log2_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_log_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_lt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_masked_fill_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_max_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_max_pool2d_with_indices_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_max_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_max_reduction_with_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_maximum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_mean_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_min_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_min_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_minimum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_mm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_mul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_mv_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_native_batch_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_native_dropout_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_native_layer_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_ne_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_neg_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_norm_fro_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_norm_inf_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_permute_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_pow_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_reciprocal_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_remainder_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_repeat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_rsqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_scatter_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_select_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sgn_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sigmoid_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_slice_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sort_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_squeeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_stack_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_std_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_std_unbiased_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sub_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_t_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_tanh_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_topk_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_trace_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_transpose_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_tril_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_triu_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_trunc_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_unfold_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_uniform_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_unsqueeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_view_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyDynamicOps::test_adaptiveavgpool3d_dynamic, test/lazy/test_ts_opinfo.py::TestLazyDynamicOps::test_nonzero_dynamic
2025-03-14T04:08:16.7211200Z 
2025-03-14T04:08:17.4942672Z Running test batch 'tests to run' cost 22.46 seconds
2025-03-14T04:08:18.1637230Z 
2025-03-14T04:08:18.1637699Z real	0m27.621s
2025-03-14T04:08:18.1638008Z user	0m59.123s
2025-03-14T04:08:18.1638292Z sys	0m3.540s
2025-03-14T04:08:18.1638654Z + export -n TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE
2025-03-14T04:08:18.1639077Z + test_without_numpy
2025-03-14T04:08:18.1642909Z ++ dirname .ci/pytorch/test.sh
2025-03-14T04:08:18.1653251Z + pushd .ci/pytorch
2025-03-14T04:08:18.1653703Z ~/workspace/.ci/pytorch ~/workspace
2025-03-14T04:08:18.1654590Z + python -c 'import sys;sys.path.insert(0, '\''fake_numpy'\'');from unittest import TestCase;import torch;x=torch.randn(3,3);TestCase().assertRaises(RuntimeError, lambda: x.numpy())'
2025-03-14T04:08:18.8745725Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_subclasses/functional_tensor.py:276: UserWarning: Failed to initialize NumPy: Sorry PyTorch, but our NumPy is in the other folder (Triggered internally at ../torch/csrc/utils/tensor_numpy.cpp:81.)
2025-03-14T04:08:18.8747134Z   cpu = _conversion_method_template(device=torch.device("cpu"))
2025-03-14T04:08:19.4825878Z + python -c 'import sys;sys.path.insert(0, '\''fake_numpy'\'');import torch;print(torch.tensor([torch.tensor(0.), torch.tensor(1.)]))'
2025-03-14T04:08:20.1908152Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_subclasses/functional_tensor.py:276: UserWarning: Failed to initialize NumPy: Sorry PyTorch, but our NumPy is in the other folder (Triggered internally at ../torch/csrc/utils/tensor_numpy.cpp:81.)
2025-03-14T04:08:20.1909574Z   cpu = _conversion_method_template(device=torch.device("cpu"))
2025-03-14T04:08:20.5590498Z tensor([0., 1.])
2025-03-14T04:08:20.7912430Z + [[ crossref == *dynamo_wrapped* ]]
2025-03-14T04:08:20.7912832Z + popd
2025-03-14T04:08:20.7913104Z ~/workspace
2025-03-14T04:08:20.7913385Z + install_torchvision
2025-03-14T04:08:20.7913673Z + local orig_preload
2025-03-14T04:08:20.7913991Z + local commit
2025-03-14T04:08:20.7916279Z ++ get_pinned_commit vision
2025-03-14T04:08:20.7916633Z ++ cat .github/ci_commit_pins/vision.txt
2025-03-14T04:08:20.7937216Z + commit=d23a6e1664d20707c11781299611436e1f0c104f
2025-03-14T04:08:20.7937710Z + orig_preload=
2025-03-14T04:08:20.7938230Z + '[' -n '' ']'
2025-03-14T04:08:20.7938855Z + pip_install --no-use-pep517 --user git+https://github.com/pytorch/vision.git@d23a6e1664d20707c11781299611436e1f0c104f
2025-03-14T04:08:20.7939621Z + pip_install_pkg='python3 -m pip install --progress-bar off'
2025-03-14T04:08:20.7940504Z + python3 -m pip install --progress-bar off --no-use-pep517 --user git+https://github.com/pytorch/vision.git@d23a6e1664d20707c11781299611436e1f0c104f
2025-03-14T04:08:21.1674010Z Collecting git+https://github.com/pytorch/vision.git@d23a6e1664d20707c11781299611436e1f0c104f
2025-03-14T04:08:21.1679120Z   Cloning https://github.com/pytorch/vision.git (to revision d23a6e1664d20707c11781299611436e1f0c104f) to /tmp/pip-req-build-q__bke3q
2025-03-14T04:08:21.1698557Z   Running command git clone --filter=blob:none --quiet https://github.com/pytorch/vision.git /tmp/pip-req-build-q__bke3q
2025-03-14T04:08:22.5831772Z   Running command git rev-parse -q --verify 'sha^d23a6e1664d20707c11781299611436e1f0c104f'
2025-03-14T04:08:22.5853909Z   Running command git fetch -q https://github.com/pytorch/vision.git d23a6e1664d20707c11781299611436e1f0c104f
2025-03-14T04:08:23.9790325Z   Running command git checkout -q d23a6e1664d20707c11781299611436e1f0c104f
2025-03-14T04:08:24.3171748Z   Resolved https://github.com/pytorch/vision.git to commit d23a6e1664d20707c11781299611436e1f0c104f
2025-03-14T04:08:26.2734751Z   Preparing metadata (setup.py) ... [?25l- \ done
2025-03-14T04:08:26.2767196Z [?25hRequirement already satisfied: numpy in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torchvision==0.19.0a0+d23a6e1) (2.1.2)
2025-03-14T04:08:26.2770906Z Requirement already satisfied: torch in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torchvision==0.19.0a0+d23a6e1) (2.8.0a0+gitaed0b7a)
2025-03-14T04:08:26.2775269Z Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torchvision==0.19.0a0+d23a6e1) (11.0.0)
2025-03-14T04:08:26.2840271Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torch->torchvision==0.19.0a0+d23a6e1) (3.16.1)
2025-03-14T04:08:26.2844002Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torch->torchvision==0.19.0a0+d23a6e1) (4.12.2)
2025-03-14T04:08:26.2854758Z Requirement already satisfied: setuptools in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torch->torchvision==0.19.0a0+d23a6e1) (75.8.0)
2025-03-14T04:08:26.2858467Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torch->torchvision==0.19.0a0+d23a6e1) (1.13.3)
2025-03-14T04:08:26.2861571Z Requirement already satisfied: networkx in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torch->torchvision==0.19.0a0+d23a6e1) (2.8.8)
2025-03-14T04:08:26.2864469Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torch->torchvision==0.19.0a0+d23a6e1) (3.1.6)
2025-03-14T04:08:26.2867776Z Requirement already satisfied: fsspec in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torch->torchvision==0.19.0a0+d23a6e1) (2024.10.0)
2025-03-14T04:08:26.2881676Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from sympy>=1.13.3->torch->torchvision==0.19.0a0+d23a6e1) (1.3.0)
2025-03-14T04:08:26.2985086Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from jinja2->torch->torchvision==0.19.0a0+d23a6e1) (3.0.2)
2025-03-14T04:08:26.3086808Z Building wheels for collected packages: torchvision
2025-03-14T04:09:35.8371012Z   Building wheel for torchvision (setup.py) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ done
2025-03-14T04:09:35.8408898Z [?25h  Created wheel for torchvision: filename=torchvision-0.19.0a0+d23a6e1-cp313-cp313-linux_x86_64.whl size=1162260 sha256=3000181a663ad4a213b347482c9dd65c06b3f9fed3d4407b95a1bf8db93ba2a5
2025-03-14T04:09:35.8411400Z   Stored in directory: /var/lib/jenkins/.cache/pip/wheels/81/60/73/f2acb628a45eebe28dd9ff5468e774a0d5e194728570f8ff6f
2025-03-14T04:09:35.8446472Z Successfully built torchvision
2025-03-14T04:09:35.9822101Z Installing collected packages: torchvision
2025-03-14T04:09:36.4367012Z Successfully installed torchvision-0.19.0a0+d23a6e1
2025-03-14T04:09:36.5604209Z + '[' -n '' ']'
2025-03-14T04:09:36.5604532Z + test_python_shard 1
2025-03-14T04:09:36.5604812Z + [[ -z 2 ]]
2025-03-14T04:09:36.5605492Z + python test/run_test.py --exclude-jit-executor --exclude-distributed-tests --shard 1 2 --verbose --upload-artifacts-while-running
2025-03-14T04:09:36.6633512Z /var/lib/jenkins/workspace/test/run_test.py:24: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html
2025-03-14T04:09:36.6635307Z   import pkg_resources
2025-03-14T04:09:40.3537910Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-03-14T04:09:40.3714360Z Found test times from artifacts
2025-03-14T04:09:40.4435323Z Found test times from artifacts
2025-03-14T04:09:40.4460960Z Running all tests
2025-03-14T04:09:40.4664482Z Running parallel tests on 3 processes
2025-03-14T04:09:40.4680741Z Name: tests to run (est. time: 94.06min)
2025-03-14T04:09:40.4681518Z   Serial tests (46):
2025-03-14T04:09:40.4682029Z     test_ci_sanity_check_fail 1/1
2025-03-14T04:09:40.4682632Z     inductor/test_flex_attention 1/1
2025-03-14T04:09:40.4683232Z     test_reductions 1/1
2025-03-14T04:09:40.4683737Z     test_overrides 1/1
2025-03-14T04:09:40.4684265Z     test_cpp_extensions_aot_ninja 1/1
2025-03-14T04:09:40.4684924Z     inductor/test_distributed_patterns 1/1
2025-03-14T04:09:40.4685577Z     test_cpp_api_parity 1/1
2025-03-14T04:09:40.4686142Z     inductor/test_benchmark_fusion 1/1
2025-03-14T04:09:40.4686789Z     test_extension_utils 1/1
2025-03-14T04:09:40.4687362Z     inductor/test_cutlass_backend 1/1
2025-03-14T04:09:40.4687965Z     test_show_pickle 1/1
2025-03-14T04:09:40.4688515Z     test_transformers_privateuse1 1/1
2025-03-14T04:09:40.4689219Z     test_cpp_extensions_open_device_registration 1/1
2025-03-14T04:09:40.4689951Z     test_namedtuple_return_api 1/1
2025-03-14T04:09:40.4690539Z     test_tensorexpr 1/1
2025-03-14T04:09:40.4691043Z     test_utils 1/1
2025-03-14T04:09:40.4691517Z     test_multiprocessing 1/1
2025-03-14T04:09:40.4692060Z     test_torch 1/1
2025-03-14T04:09:40.4692525Z     test_autocast 1/1
2025-03-14T04:09:40.4693133Z     test_autograd_fallback 1/1
2025-03-14T04:09:40.4693707Z     test_python_dispatch 1/1
2025-03-14T04:09:40.4694258Z     test_jit_disabled 1/1
2025-03-14T04:09:40.4694773Z     test_fake_tensor 1/1
2025-03-14T04:09:40.4695272Z     test_fx 1/1
2025-03-14T04:09:40.4695765Z     test_cpp_extensions_mtia_backend 1/1
2025-03-14T04:09:40.4696433Z     inductor/test_max_autotune 1/1
2025-03-14T04:09:40.4697079Z     test_cpp_extensions_stream_and_event 1/1
2025-03-14T04:09:40.4697755Z     test_cpp_extensions_jit 1/1
2025-03-14T04:09:40.4698306Z     test_native_mha 1/1
2025-03-14T04:09:40.4698824Z     test_tensor_creation_ops 1/1
2025-03-14T04:09:40.4699415Z     test_sort_and_select 1/1
2025-03-14T04:09:40.4699957Z     test_dispatch 1/1
2025-03-14T04:09:40.4701289Z     test_cuda_primary_ctx 1/1
2025-03-14T04:09:40.4701895Z     test_multiprocessing_spawn 1/1
2025-03-14T04:09:40.4702503Z     nn/test_convolution 1/1
2025-03-14T04:09:40.4703040Z     nn/test_pooling 1/1
2025-03-14T04:09:40.4703560Z     test_mobile_optimizer 1/1
2025-03-14T04:09:40.4704092Z     test_nn 1/1
2025-03-14T04:09:40.4704568Z     test_cuda_nvml_based_avail 1/1
2025-03-14T04:09:40.4705150Z     test_cuda_trace 1/1
2025-03-14T04:09:40.4705653Z     test_spectral_ops 1/1
2025-03-14T04:09:40.4706224Z     distributions/test_distributions 1/1
2025-03-14T04:09:40.4706874Z     test_autoload_disable 1/1
2025-03-14T04:09:40.4707544Z     doctests 1/1
2025-03-14T04:09:40.4708015Z     test_autoload_enable 1/1
2025-03-14T04:09:40.4708600Z     test_cpp_extensions_aot_no_ninja 1/1
2025-03-14T04:09:40.4709239Z   Parallel tests (241):
2025-03-14T04:09:40.4709789Z     inductor/test_compiled_autograd 1/1
2025-03-14T04:09:40.4710456Z     dynamo/test_graph_deduplication 1/1
2025-03-14T04:09:40.4711105Z     inductor/test_torchbind 1/1
2025-03-14T04:09:40.4711706Z     dynamo/test_structured_trace 1/1
2025-03-14T04:09:40.4712344Z     test_cuda_expandable_segments 1/1
2025-03-14T04:09:40.4712979Z     inductor/test_cpu_repro 1/1
2025-03-14T04:09:40.4713581Z     inductor/test_external_callables 1/1
2025-03-14T04:09:40.4714257Z     inductor/test_cpp_wrapper_hipify 1/1
2025-03-14T04:09:40.4714917Z     inductor/test_cudacodecache 1/1
2025-03-14T04:09:40.4715651Z     dynamo/test_fx_passes_pre_grad 1/1
2025-03-14T04:09:40.4716288Z     inductor/test_b2b_gemm 1/1
2025-03-14T04:09:40.4716900Z     export/test_unflatten_training_ir 1/1
2025-03-14T04:09:40.4717631Z     export/test_export_training_ir_to_run_decomp 1/1
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2025-03-14T04:09:40.4752491Z     torch_np/numpy_tests/core/test_scalarinherit 1/1
2025-03-14T04:09:40.4753226Z     inductor/test_inplacing_pass 1/1
2025-03-14T04:09:40.4753852Z     test_functionalization 1/1
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2025-03-14T04:09:40.4755072Z     nn/test_multihead_attention 1/1
2025-03-14T04:09:40.4755741Z     test_stateless 1/1
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2025-03-14T04:09:40.4759199Z     inductor/test_custom_post_grad_passes 1/1
2025-03-14T04:09:40.4759868Z     torch_np/test_basic 1/1
2025-03-14T04:09:40.4760438Z     inductor/test_dependencies 1/1
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2025-03-14T04:09:40.4762747Z     xpu/test_conv 1/1
2025-03-14T04:09:40.4763276Z     inductor/test_fused_attention 1/1
2025-03-14T04:09:40.4763899Z     dynamo/test_global 1/1
2025-03-14T04:09:40.4764460Z     torch_np/test_nep50_examples 1/1
2025-03-14T04:09:40.4765084Z     profiler/test_cpp_thread 1/1
2025-03-14T04:09:40.4765650Z     test_hub 1/1
2025-03-14T04:09:40.4766135Z     inductor/test_layout_optim 1/1
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2025-03-14T04:09:40.4769811Z     test_compile_benchmark_util 1/1
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2025-03-14T04:09:40.4773795Z     test_optim 1/1
2025-03-14T04:09:40.4774261Z     test_fx_passes 1/1
2025-03-14T04:09:40.4774806Z     inductor/test_mkldnn_pattern_matcher 1/1
2025-03-14T04:09:40.4775477Z     inductor/test_mmdecomp 1/1
2025-03-14T04:09:40.4776164Z     inductor/test_cudagraph_trees_expandable_segments 1/1
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2025-03-14T04:09:40.4780740Z     inductor/test_efficient_conv_bn_eval 1/1
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2025-03-14T04:09:40.4832385Z     optim/test_lrscheduler 1/1
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2025-03-14T04:09:40.4833490Z     torch_np/test_ufuncs_basic 1/1
2025-03-14T04:09:40.4834018Z     torch_np/numpy_tests/lib/test_histograms 1/1
2025-03-14T04:09:40.4834619Z     benchmark_utils/test_benchmark_utils 1/1
2025-03-14T04:09:40.4835272Z     test_indexing 1/1
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2025-03-14T04:09:40.4842602Z     test_ops 1/8
2025-03-14T04:09:40.4842991Z     test_ops 4/8
2025-03-14T04:09:40.4843363Z     test_ops 6/8
2025-03-14T04:09:40.4843763Z     test_ops 7/8
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2025-03-14T04:09:40.4844869Z     torch_np/numpy_tests/lib/test_shape_base_ 1/1
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2025-03-14T04:09:40.4848358Z     test_jit 1/1
2025-03-14T04:09:40.4848813Z     test_serialization 1/1
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2025-03-14T04:09:40.4849942Z     lazy/test_reuse_ir 1/1
2025-03-14T04:09:40.4850410Z     torch_np/numpy_tests/core/test_numerictypes 1/1
2025-03-14T04:09:40.4851040Z     torch_np/numpy_tests/lib/test_index_tricks 1/1
2025-03-14T04:09:40.4851636Z     test_type_info 1/1
2025-03-14T04:09:40.4852076Z     functorch/test_vmap 1/2
2025-03-14T04:09:40.4852579Z     test_functional_autograd_benchmark 1/1
2025-03-14T04:09:40.4853123Z     functorch/test_ops 1/8
2025-03-14T04:09:40.4853597Z     functorch/test_ops 2/8
2025-03-14T04:09:40.4854082Z     functorch/test_ops 5/8
2025-03-14T04:09:40.4854578Z     functorch/test_ops 7/8
2025-03-14T04:09:40.4855053Z     functorch/test_ops 8/8
2025-03-14T04:09:40.4855479Z     test_sparse 3/3
2025-03-14T04:09:40.4855892Z     functorch/test_aotdispatch 1/5
2025-03-14T04:09:40.4856428Z     functorch/test_aotdispatch 3/5
2025-03-14T04:09:40.4856962Z     torch_np/test_function_base 1/1
2025-03-14T04:09:40.4857496Z     torch_np/test_reductions 1/1
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2025-03-14T04:09:40.4858724Z     test_prims 1/1
2025-03-14T04:09:40.4859185Z     torch_np/numpy_tests/lib/test_arraypad 1/1
2025-03-14T04:09:40.4859789Z     dynamo/test_comptime 1/1
2025-03-14T04:09:40.4860213Z     torch_np/test_scalars_0D_arrays 1/1
2025-03-14T04:09:40.4860715Z     lazy/test_bindings 1/1
2025-03-14T04:09:40.4861191Z     test_quantization 1/4
2025-03-14T04:09:40.4861632Z     test_quantization 2/4
2025-03-14T04:09:40.4862109Z     test_quantization 4/4
2025-03-14T04:09:40.4862585Z     export/test_export_strict 1/1
2025-03-14T04:09:40.4863088Z     inductor/test_online_softmax 1/1
2025-03-14T04:09:40.4863577Z Name: excluded (est. time: 0.0min)
2025-03-14T04:09:40.4863933Z   Serial tests (0):
2025-03-14T04:09:40.4864234Z   Parallel tests (0):
2025-03-14T04:09:40.4900304Z Running test_ci_sanity_check_fail 1/1 ... [2025-03-14 04:09:40.489665]
2025-03-14T04:09:40.4901149Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:09:40.4904745Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:09:40.490117]
2025-03-14T04:09:50.8903548Z Running inductor/test_flex_attention 1/1 ... [2025-03-14 04:09:50.890013]
2025-03-14T04:09:50.8904193Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:09:50.8906084Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:09:50.890311]
2025-03-14T04:09:54.1004234Z 
2025-03-14T04:09:54.1005361Z 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_67ea3fd7ff1c9d4c_.log
2025-03-14T04:09:54.1006323Z 
2025-03-14T04:09:54.1006616Z Running test_reductions 1/1 ... [2025-03-14 04:09:54.100502]
2025-03-14T04:09:54.1007387Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:09:54.1009799Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:09:54.100770]
2025-03-14T04:13:26.7056999Z 
2025-03-14T04:13:26.7058030Z test_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_reductions_1.1_50b91ad10bda1366_.log
2025-03-14T04:13:26.8824655Z 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_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
2025-03-14T04:13:27.0561110Z 
2025-03-14T04:13:27.0561334Z Running test_overrides 1/1 ... [2025-03-14 04:13:26.711631]
2025-03-14T04:13:27.0561810Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:13:27.0562903Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:13:26.711939]
2025-03-14T04:13:34.1364197Z 
2025-03-14T04:13:34.1365129Z test_overrides 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_overrides_1.1_46f317d31aa5bf03_.log
2025-03-14T04:13:34.1870876Z 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__, 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test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_hsplit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_hypot, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_hypot_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_i0, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_i0_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_igamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_igamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_igammac, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_igammac_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_add, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_add_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_copy, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_copy_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_fill, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_fill_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_put, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_put_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_reduce_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_select, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_indices, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_inner, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_int, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_int_repr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ipu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_coalesced, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_complex, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_conj, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_contiguous, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_distributed, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_floating_point, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_inference, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_neg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_pinned, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_same_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_set_to, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_shared, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_signed, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isclose, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isfinite, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isinf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isnan, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isneginf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isposinf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isreal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_istft, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_item, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_kron, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_kthvalue, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lcm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lcm_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ldexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ldexp_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_le, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_le_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lerp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lerp_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_less, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_less_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_less_equal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_less_equal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lgamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lgamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log10, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log10_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log1p, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log1p_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log2, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log2_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log_normal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logaddexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logaddexp2, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logcumsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logdet, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_and, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_and_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_not, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_not_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_or, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_or_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_xor, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_xor_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logit_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_long, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lt, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lt_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lu_solve, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_map2_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_map_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_fill, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_fill_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_scatter_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_select, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_matmul, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_matrix_exp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_matrix_power, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_max, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_maximum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mean, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_median, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_min, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_minimum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mode, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_module_load, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_moveaxis, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_movedim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_msort, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mtia, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mul, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mul_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_multinomial, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_multiply, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_multiply_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mv, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mvlgamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mvlgamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nan_to_num, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nan_to_num_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nanmean, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nanmedian, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nanquantile, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nansum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_narrow, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_narrow_copy, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ndimension, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ne, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ne_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_neg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_neg_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_negative, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_negative_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nelement, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nextafter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nextafter_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nonzero_static, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_norm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_normal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_not_equal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_not_equal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_numel, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_numpy, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_orgqr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ormqr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_outer, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_permute, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pin_memory, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pinverse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_polygamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_polygamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_positive, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pow, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pow_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_prelu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_prod, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_put, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_put_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_per_channel_axis, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_per_channel_scales, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_per_channel_zero_points, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_scale, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_zero_point, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_qr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_qscheme, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_quantile, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rad2deg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rad2deg_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_random_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ravel, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_reciprocal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_reciprocal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_record_stream, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_refine_names, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_register_hook, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_register_post_accumulate_grad_hook, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_relu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_relu_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_remainder, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_remainder_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rename, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rename_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_renorm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_renorm_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_repeat, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_repeat_interleave, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_requires_grad_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_reshape, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_reshape_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize_as_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize_as_sparse_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resolve_conj, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resolve_neg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_retain_grad, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_roll, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rot90, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_round, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_round_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_row_indices, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rsqrt, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rsqrt_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_add, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_add_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_reduce_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_select, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_select_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_set_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sgn, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sgn_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_share_memory_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_short, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sigmoid, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sigmoid_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sign, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sign_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_signbit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sin, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sin_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinc, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinc_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinh, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinh_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_slice_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_slice_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_slogdet, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_smm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sort, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_dim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_mask, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_resize_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_resize_and_clear_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_split, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_split_with_sizes, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sqrt, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sqrt_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_square, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_square_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_squeeze, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_squeeze_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sspaddmm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_std, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_stft, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_storage, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_storage_offset, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_storage_type, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sub, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sub_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_subtract, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_subtract_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sum_to_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_svd, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapaxes, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapaxes_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapdims, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapdims_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_t, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_t_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_take, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_take_along_dim, 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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, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hsplit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hstack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hypot, test/test_overrides.py::TestTorchFunctionOverride::test_torch_i0, test/test_overrides.py::TestTorchFunctionOverride::test_torch_igamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_igammac, test/test_overrides.py::TestTorchFunctionOverride::test_torch_imag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_add, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_fill, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_put, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_select, test/test_overrides.py::TestTorchFunctionOverride::test_torch_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_inner, test/test_overrides.py::TestTorchFunctionOverride::test_torch_instance_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_int_repr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_complex, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_conj, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_distributed, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_floating_point, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_inference, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_neg, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_same_size, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_signed, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isclose, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isfinite, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isinf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isnan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isneginf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isposinf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isreal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_istft, test/test_overrides.py::TestTorchFunctionOverride::test_torch_kl_div, test/test_overrides.py::TestTorchFunctionOverride::test_torch_kron, test/test_overrides.py::TestTorchFunctionOverride::test_torch_kthvalue, test/test_overrides.py::TestTorchFunctionOverride::test_torch_layer_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lcm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ldexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_le, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lerp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_less, test/test_overrides.py::TestTorchFunctionOverride::test_torch_less_equal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lgamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log10, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log1p, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logaddexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logaddexp2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logcumsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logdet, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logical_and, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logical_not, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logical_or, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logical_xor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lstm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lstm_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lu_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lu_unpack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_margin_ranking_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_masked_fill, test/test_overrides.py::TestTorchFunctionOverride::test_torch_masked_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_masked_select, test/test_overrides.py::TestTorchFunctionOverride::test_torch_matmul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_matrix_exp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_matrix_power, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max_pool1d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_maximum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mean, test/test_overrides.py::TestTorchFunctionOverride::test_torch_median, test/test_overrides.py::TestTorchFunctionOverride::test_torch_min, test/test_overrides.py::TestTorchFunctionOverride::test_torch_minimum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_convolution, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_convolution_add_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_convolution_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_convolution_transpose, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_depthwise_convolution, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_rnn, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mode, test/test_overrides.py::TestTorchFunctionOverride::test_torch_moveaxis, test/test_overrides.py::TestTorchFunctionOverride::test_torch_movedim, test/test_overrides.py::TestTorchFunctionOverride::test_torch_msort, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_multinomial, test/test_overrides.py::TestTorchFunctionOverride::test_torch_multiply, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mvlgamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nan_to_num, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nanmean, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nanmedian, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nanquantile, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nansum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_narrow, test/test_overrides.py::TestTorchFunctionOverride::test_torch_narrow_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_channel_shuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_group_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_layer_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ne, test/test_overrides.py::TestTorchFunctionOverride::test_torch_neg, test/test_overrides.py::TestTorchFunctionOverride::test_torch_negative, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nextafter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional__threshold, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_avg_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_avg_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool1d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool2d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool3d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_affine_grid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_binary_cross_entropy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_binary_cross_entropy_with_logits, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_celu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_cosine_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_cross_entropy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_ctc_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_elu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_embedding, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_embedding_bag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_feature_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fold, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool2d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool3d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_gaussian_nll_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_glu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_grid_sample, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_group_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_gumbel_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_hardtanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_hinge_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_huber_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_instance_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_interpolate, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_kl_div, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_l1_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_layer_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_leaky_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_local_response_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_log_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_lp_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_lp_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_lp_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_margin_ranking_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool1d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool2d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool3d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_unpool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_unpool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_unpool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_mish, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_mse_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_multi_head_attention_forward, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_multi_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_multilabel_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_multilabel_soft_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_nll_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_normalize, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_pad, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_poisson_nll_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_relu6, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_rms_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_rrelu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_selu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_silu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_smooth_l1_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_soft_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_softmin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_softsign, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_tanhshrink, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_triplet_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_triplet_margin_with_distance_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_unfold, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_init_constant_, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_init_kaiming_uniform_, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_init_normal_, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_init_uniform_, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nonzero_static, test/test_overrides.py::TestTorchFunctionOverride::test_torch_norm_except_dim, test/test_overrides.py::TestTorchFunctionOverride::test_torch_not_equal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nuclear_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_numel, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ones_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_orgqr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ormqr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_outer, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pairwise_distance, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pdist, test/test_overrides.py::TestTorchFunctionOverride::test_torch_permute, test/test_overrides.py::TestTorchFunctionOverride::test_torch_permute_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pinverse, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pixel_shuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pixel_unshuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_poisson, test/test_overrides.py::TestTorchFunctionOverride::test_torch_poisson_nll_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_polar, test/test_overrides.py::TestTorchFunctionOverride::test_torch_polygamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_positive, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pow, test/test_overrides.py::TestTorchFunctionOverride::test_torch_prelu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_prod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_put, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_per_channel_axis, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_per_channel_scales, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_per_channel_zero_points, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_scale, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_zero_point, test/test_overrides.py::TestTorchFunctionOverride::test_torch_qr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantile, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantize_per_channel, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantize_per_tensor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantize_per_tensor_dynamic, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_gru_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_lstm_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_rnn_relu_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_rnn_tanh_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rad2deg, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rand_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_randint_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_randn_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ravel, test/test_overrides.py::TestTorchFunctionOverride::test_torch_real, test/test_overrides.py::TestTorchFunctionOverride::test_torch_reciprocal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_remainder, test/test_overrides.py::TestTorchFunctionOverride::test_torch_renorm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_repeat_interleave, test/test_overrides.py::TestTorchFunctionOverride::test_torch_reshape, test/test_overrides.py::TestTorchFunctionOverride::test_torch_resolve_conj, test/test_overrides.py::TestTorchFunctionOverride::test_torch_resolve_neg, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rms_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_relu_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_tanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_tanh_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_roll, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rot90, test/test_overrides.py::TestTorchFunctionOverride::test_torch_round, test/test_overrides.py::TestTorchFunctionOverride::test_torch_row_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_row_stack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rrelu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rsqrt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rsub, test/test_overrides.py::TestTorchFunctionOverride::test_torch_saddmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_scatter_add, test/test_overrides.py::TestTorchFunctionOverride::test_torch_scatter_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_torch_searchsorted, test/test_overrides.py::TestTorchFunctionOverride::test_torch_segment_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_torch_select, test/test_overrides.py::TestTorchFunctionOverride::test_torch_select_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_select_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_selu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sgn, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sigmoid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sign, test/test_overrides.py::TestTorchFunctionOverride::test_torch_signbit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sinc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_slice_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_slice_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_torch_slice_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_slogdet, test/test_overrides.py::TestTorchFunctionOverride::test_torch_smm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sort, test/test_overrides.py::TestTorchFunctionOverride::test_torch_split_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_split_with_sizes, test/test_overrides.py::TestTorchFunctionOverride::test_torch_split_with_sizes_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sqrt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_square, test/test_overrides.py::TestTorchFunctionOverride::test_torch_squeeze, test/test_overrides.py::TestTorchFunctionOverride::test_torch_squeeze_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_stack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_std, test/test_overrides.py::TestTorchFunctionOverride::test_torch_std_mean, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sub, test/test_overrides.py::TestTorchFunctionOverride::test_torch_subtract, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_svd, test/test_overrides.py::TestTorchFunctionOverride::test_torch_swapaxes, test/test_overrides.py::TestTorchFunctionOverride::test_torch_swapdims, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_float, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_int, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_ite, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_max, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_min, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_not, test/test_overrides.py::TestTorchFunctionOverride::test_torch_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
2025-03-14T04:13:34.2359738Z 
2025-03-14T04:13:34.2360005Z Running test_cpp_extensions_aot_ninja 1/1 ... [2025-03-14 04:13:34.138302]
2025-03-14T04:13:36.7760860Z running install
2025-03-14T04:13:36.7770520Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/setuptools/_distutils/cmd.py:79: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-03-14T04:13:36.7771422Z !!
2025-03-14T04:13:36.7771598Z 
2025-03-14T04:13:36.7771737Z         ********************************************************************************
2025-03-14T04:13:36.7772186Z         Please avoid running ``setup.py`` directly.
2025-03-14T04:13:36.7772676Z         Instead, use pypa/build, pypa/installer or other
2025-03-14T04:13:36.7773128Z         standards-based tools.
2025-03-14T04:13:36.7773328Z 
2025-03-14T04:13:36.7773660Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-03-14T04:13:36.7774282Z         ********************************************************************************
2025-03-14T04:13:36.7774585Z 
2025-03-14T04:13:36.7774693Z !!
2025-03-14T04:13:36.7774938Z   self.initialize_options()
2025-03-14T04:13:36.7901386Z running build
2025-03-14T04:13:36.7901680Z running build_py
2025-03-14T04:13:36.7978740Z creating build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension
2025-03-14T04:13:36.7985017Z copying torch_test_cpp_extension/__init__.py -> build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension
2025-03-14T04:13:36.7992029Z running build_ext
2025-03-14T04:13:36.9125386Z building 'torch_test_cpp_extension.cpp' extension
2025-03-14T04:13:36.9126232Z creating /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-313
2025-03-14T04:13:36.9419295Z Emitting ninja build file /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-313/build.ninja...
2025-03-14T04:13:36.9420218Z Compiling objects...
2025-03-14T04:13:36.9420622Z Using envvar MAX_JOBS (6) as the number of workers...
2025-03-14T04:13:37.9208132Z [1/1] c++ -MMD -MF /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-313/extension.o.d -pthread -B /opt/conda/envs/py_3.13/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include -I/var/lib/jenkins/workspace/test/cpp_extensions/self_compiler_include_dirs_test -I/opt/conda/envs/py_3.13/include/python3.13 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/extension.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-313/extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_clang"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1002"' -DTORCH_EXTENSION_NAME=cpp -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++17
2025-03-14T04:13:37.9309334Z g++ -pthread -B /opt/conda/envs/py_3.13/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -pthread -B /opt/conda/envs/py_3.13/compiler_compat -shared -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-313/extension.o -L/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/cpp.cpython-313-x86_64-linux-gnu.so
2025-03-14T04:13:38.1775313Z building 'torch_test_cpp_extension.maia' extension
2025-03-14T04:13:38.2072096Z Emitting ninja build file /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-313/build.ninja...
2025-03-14T04:13:38.2082169Z Compiling objects...
2025-03-14T04:13:38.2082547Z Using envvar MAX_JOBS (6) as the number of workers...
2025-03-14T04:13:38.8812543Z [1/1] c++ -MMD -MF /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-313/maia_extension.o.d -pthread -B /opt/conda/envs/py_3.13/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include -I/var/lib/jenkins/workspace/test/cpp_extensions/self_compiler_include_dirs_test -I/opt/conda/envs/py_3.13/include/python3.13 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/maia_extension.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-313/maia_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_clang"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1002"' -DTORCH_EXTENSION_NAME=maia -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++17
2025-03-14T04:13:38.8864375Z g++ -pthread -B /opt/conda/envs/py_3.13/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -pthread -B /opt/conda/envs/py_3.13/compiler_compat -shared -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-313/maia_extension.o -L/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/maia.cpython-313-x86_64-linux-gnu.so
2025-03-14T04:13:39.1197331Z building 'torch_test_cpp_extension.rng' extension
2025-03-14T04:13:39.1496636Z Emitting ninja build file /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-313/build.ninja...
2025-03-14T04:13:39.1497577Z Compiling objects...
2025-03-14T04:13:39.1497941Z Using envvar MAX_JOBS (6) as the number of workers...
2025-03-14T04:13:40.0643382Z [1/1] c++ -MMD -MF /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-313/rng_extension.o.d -pthread -B /opt/conda/envs/py_3.13/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include -I/var/lib/jenkins/workspace/test/cpp_extensions/self_compiler_include_dirs_test -I/opt/conda/envs/py_3.13/include/python3.13 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-313/rng_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_clang"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1002"' -DTORCH_EXTENSION_NAME=rng -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++17
2025-03-14T04:13:40.0697329Z g++ -pthread -B /opt/conda/envs/py_3.13/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -pthread -B /opt/conda/envs/py_3.13/compiler_compat -shared -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-313/rng_extension.o -L/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/rng.cpython-313-x86_64-linux-gnu.so
2025-03-14T04:13:40.3295754Z running install_lib
2025-03-14T04:13:40.3378281Z creating install/opt/conda/envs/py_3.13/lib/python3.13/site-packages
2025-03-14T04:13:40.3382641Z creating install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension
2025-03-14T04:13:40.3384638Z copying build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/__init__.py -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension
2025-03-14T04:13:40.3387374Z copying build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/cpp.cpython-313-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension
2025-03-14T04:13:40.3421816Z copying build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/maia.cpython-313-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension
2025-03-14T04:13:40.3458416Z copying build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/rng.cpython-313-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension
2025-03-14T04:13:40.3501313Z byte-compiling ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension/__init__.py to __init__.cpython-313.pyc
2025-03-14T04:13:40.3503784Z running install_egg_info
2025-03-14T04:13:40.3678784Z running egg_info
2025-03-14T04:13:40.3747649Z creating torch_test_cpp_extension.egg-info
2025-03-14T04:13:40.3748881Z writing torch_test_cpp_extension.egg-info/PKG-INFO
2025-03-14T04:13:40.3753005Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt
2025-03-14T04:13:40.3754473Z writing entry points to torch_test_cpp_extension.egg-info/entry_points.txt
2025-03-14T04:13:40.3757463Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt
2025-03-14T04:13:40.3758730Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-03-14T04:13:40.3834210Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-03-14T04:13:40.3841548Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-03-14T04:13:40.3843043Z Copying torch_test_cpp_extension.egg-info to ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension-0.0.0-py3.13.egg-info
2025-03-14T04:13:40.3849460Z running install_scripts
2025-03-14T04:13:42.6251352Z running install
2025-03-14T04:13:42.6252757Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/setuptools/_distutils/cmd.py:79: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-03-14T04:13:42.6253766Z !!
2025-03-14T04:13:42.6253994Z 
2025-03-14T04:13:42.6254260Z         ********************************************************************************
2025-03-14T04:13:42.6254688Z         Please avoid running ``setup.py`` directly.
2025-03-14T04:13:42.6255123Z         Instead, use pypa/build, pypa/installer or other
2025-03-14T04:13:42.6255524Z         standards-based tools.
2025-03-14T04:13:42.6255736Z 
2025-03-14T04:13:42.6256053Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-03-14T04:13:42.6256625Z         ********************************************************************************
2025-03-14T04:13:42.6256890Z 
2025-03-14T04:13:42.6256981Z !!
2025-03-14T04:13:42.6257223Z   self.initialize_options()
2025-03-14T04:13:42.6383283Z running build
2025-03-14T04:13:42.6383784Z running build_ext
2025-03-14T04:13:42.7463533Z building 'no_python_abi_suffix_test' extension
2025-03-14T04:13:42.7465076Z creating /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-313
2025-03-14T04:13:42.7772676Z Emitting ninja build file /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-313/build.ninja...
2025-03-14T04:13:42.7773548Z Compiling objects...
2025-03-14T04:13:42.7773898Z Using envvar MAX_JOBS (6) as the number of workers...
2025-03-14T04:13:42.8551184Z [1/1] c++ -MMD -MF /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-313/no_python_abi_suffix_test.o.d -pthread -B /opt/conda/envs/py_3.13/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/py_3.13/include/python3.13 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/no_python_abi_suffix_test.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-313/no_python_abi_suffix_test.o -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_clang"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1002"' -DTORCH_EXTENSION_NAME=no_python_abi_suffix_test -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++17
2025-03-14T04:13:42.8596402Z creating build/lib.linux-x86_64-cpython-313
2025-03-14T04:13:42.8601477Z g++ -pthread -B /opt/conda/envs/py_3.13/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -pthread -B /opt/conda/envs/py_3.13/compiler_compat -shared -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-313/no_python_abi_suffix_test.o -L/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-313/no_python_abi_suffix_test.so
2025-03-14T04:13:42.9161025Z running install_lib
2025-03-14T04:13:42.9238062Z creating install/opt/conda/envs/py_3.13/lib/python3.13/site-packages
2025-03-14T04:13:42.9241269Z copying build/lib.linux-x86_64-cpython-313/no_python_abi_suffix_test.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages
2025-03-14T04:13:42.9245842Z running install_egg_info
2025-03-14T04:13:42.9420015Z running egg_info
2025-03-14T04:13:42.9488636Z creating no_python_abi_suffix_test.egg-info
2025-03-14T04:13:42.9489618Z writing no_python_abi_suffix_test.egg-info/PKG-INFO
2025-03-14T04:13:42.9493028Z writing dependency_links to no_python_abi_suffix_test.egg-info/dependency_links.txt
2025-03-14T04:13:42.9495192Z writing top-level names to no_python_abi_suffix_test.egg-info/top_level.txt
2025-03-14T04:13:42.9496353Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt'
2025-03-14T04:13:42.9568612Z reading manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt'
2025-03-14T04:13:42.9575474Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt'
2025-03-14T04:13:42.9577143Z Copying no_python_abi_suffix_test.egg-info to ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/no_python_abi_suffix_test-0.0.0-py3.13.egg-info
2025-03-14T04:13:42.9581905Z running install_scripts
2025-03-14T04:13:43.3825884Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:13:43.3829067Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:13:43.382566]
2025-03-14T04:13:46.7522769Z 
2025-03-14T04:13:46.7524213Z 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_1344fc86426d0ab2_.log
2025-03-14T04:13:46.7533175Z Running 20 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_libtorch_agnostic, 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_python_agnostic, 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_conv_backend_override, 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
2025-03-14T04:13:46.7540562Z 
2025-03-14T04:13:46.7540846Z Running inductor/test_distributed_patterns 1/1 ... [2025-03-14 04:13:46.752435]
2025-03-14T04:13:46.7541369Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:13:46.7542541Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:13:46.752753]
2025-03-14T04:13:56.6398514Z 
2025-03-14T04:13:56.6399696Z 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_7a93ed2f62cd1611_.log
2025-03-14T04:13:56.6400715Z 
2025-03-14T04:13:56.6401911Z Running test_cpp_api_parity 1/1 ... [2025-03-14 04:13:56.639992]
2025-03-14T04:13:56.6402445Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:13:56.6405837Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:13:56.640331]
2025-03-14T04:14:06.5184666Z 
2025-03-14T04:14:06.5185694Z 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_49e5ee2e05d316f2_.log
2025-03-14T04:14:06.5385294Z 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, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad1, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad1_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad1size1, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad1size1_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad2size1, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad2size1_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_same, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_same2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_same2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_same_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_same_dilated, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_same_dilated_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_valid, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_valid_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_reflect_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_reflect_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_replicate_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_replicate_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_stride, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_stride_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_zero_batch, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_zero_batch_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_zeros_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_zeros_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_circular_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_circular_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise_dilated, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise_dilated_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise_padded, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise_padded_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise_strided, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise_strided_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise_with_multiplier, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise_with_multiplier_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_dilated, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_dilated_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_groups, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_groups_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_groups_thnn, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_groups_thnn_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_no_bias, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_no_bias_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_pad_same, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_pad_same_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_pad_same_dilated, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_pad_same_dilated_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_pad_valid, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_pad_valid_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_padding, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_padding_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_reflect_stride2_pad2, 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_ConvTranspose3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_ConvTranspose3d_dilated, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_ConvTranspose3d_dilated_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_CosineEmbeddingLoss_no_batch_dim_mean, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_CosineEmbeddingLoss_no_batch_dim_mean_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_CosineEmbeddingLoss_no_batch_dim_none, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_CosineEmbeddingLoss_no_batch_dim_none_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_CosineEmbeddingLoss_no_batch_dim_sum, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_CosineEmbeddingLoss_no_batch_dim_sum_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_CrossMapLRN2d, 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test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_NLLLoss2d_no_reduce_ignore_index_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_NLLLoss2d_no_reduce_weights, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_NLLLoss2d_no_reduce_weights_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_NLLLossNd_no_reduce, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_NLLLossNd_no_reduce_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_NLLLossNd_no_reduce_ignore_index, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_NLLLossNd_no_reduce_ignore_index_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_NLLLossNd_no_reduce_weights, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_NLLLossNd_no_reduce_weights_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_NLLLoss_no_reduce, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_NLLLoss_no_reduce_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_NLLLoss_no_reduce_ignore_index, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_NLLLoss_no_reduce_ignore_index_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_NLLLoss_no_reduce_weights, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_NLLLoss_no_reduce_weights_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_NLLLoss_no_reduce_weights_ignore_index, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_NLLLoss_no_reduce_weights_ignore_index_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_NLLLoss_no_reduce_weights_ignore_index_neg, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_NLLLoss_no_reduce_weights_ignore_index_neg_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_PoissonNLLLoss_no_reduce, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_PoissonNLLLoss_no_reduce_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_SmoothL1Loss_beta, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_SmoothL1Loss_beta_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_SmoothL1Loss_no_reduce, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_SmoothL1Loss_no_reduce_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_SmoothL1Loss_no_reduce_scalar, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_SmoothL1Loss_no_reduce_scalar_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_SmoothL1Loss_zero_beta, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_SmoothL1Loss_zero_beta_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_SoftMarginLoss_no_reduce, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_SoftMarginLoss_no_reduce_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_2d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_2d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_scale_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_scale_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_scale_tuple_shared_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_scale_tuple_shared_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_scale_tuple_skewed_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_scale_tuple_skewed_2d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_scale_tuple_skewed_2d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_scale_tuple_skewed_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_tuple_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_tuple_2d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_tuple_2d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_tuple_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_2d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_2d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_tuple_shared_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_tuple_shared_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_tuple_skewed_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_tuple_skewed_2d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_tuple_skewed_2d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_tuple_skewed_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_tuple_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_tuple_2d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_tuple_2d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_tuple_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_1d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_1d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_1d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_1d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_scale_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_scale_1d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_scale_1d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_scale_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_tuple_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_tuple_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_1d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_1d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d_launch_configs, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d_launch_configs_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_3d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_3d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_3d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_3d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_scale_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_scale_3d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_scale_3d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_scale_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_tuple_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_tuple_3d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_tuple_3d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_tuple_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_dim0, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_dim0_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_dim3, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_dim3_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_lastdim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_lastdim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_scalar, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_scalar_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_spatial, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_spatial_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_spatial_special, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_spatial_special_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_multimarginloss_1d_input_0d_target_no_reduce, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_multimarginloss_1d_input_0d_target_no_reduce_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_sample_functional_has_parity, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_sample_functional_has_parity_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_sample_functional_no_parity, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_sample_functional_no_parity_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_dim0, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_dim0_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_dim3, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_dim3_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_scalar, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_scalar_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_lastdim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_lastdim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_lastdim_dtype, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_lastdim_dtype_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_dtype, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_dtype_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_special, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_special_cuda
2025-03-14T04:14:06.5579341Z 
2025-03-14T04:14:06.5579624Z Running inductor/test_benchmark_fusion 1/1 ... [2025-03-14 04:14:06.519392]
2025-03-14T04:14:06.5580147Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:14:06.5581298Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:14:06.519726]
2025-03-14T04:14:13.6393294Z 
2025-03-14T04:14:13.6394648Z 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_86bf46d14051fb18_.log
2025-03-14T04:14:13.6395572Z 
2025-03-14T04:14:13.6396455Z Running test_extension_utils 1/1 ... [2025-03-14 04:14:13.639472]
2025-03-14T04:14:13.6397125Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:14:13.6400476Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:14:13.639796]
2025-03-14T04:14:17.0585026Z 
2025-03-14T04:14:17.0586264Z test_extension_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_extension_utils_1.1_b62230de9c300e6b_.log
2025-03-14T04:14:17.0588077Z 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
2025-03-14T04:14:17.0589298Z 
2025-03-14T04:14:17.0589792Z Running inductor/test_cutlass_backend 1/1 ... [2025-03-14 04:14:17.058664]
2025-03-14T04:14:17.0590587Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:14:17.0592659Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:14:17.058981]
2025-03-14T04:14:23.7198832Z 
2025-03-14T04:14:23.7200206Z 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_f58bcc8344c0d49f_.log
2025-03-14T04:14:23.7201157Z 
2025-03-14T04:14:23.7201825Z Running test_show_pickle 1/1 ... [2025-03-14 04:14:23.720010]
2025-03-14T04:14:23.7202479Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:14:23.7205697Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:14:23.720318]
2025-03-14T04:14:27.0890872Z 
2025-03-14T04:14:27.0892156Z test_show_pickle 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_show_pickle_1.1_501eaa112f3ecbac_.log
2025-03-14T04:14:27.0893189Z Running 1 items in this shard: test/test_show_pickle.py::TestShowPickle::test_scripted_model
2025-03-14T04:14:27.0893643Z 
2025-03-14T04:14:27.0894367Z Running test_transformers_privateuse1 1/1 ... [2025-03-14 04:14:27.089272]
2025-03-14T04:14:28.5637425Z running install
2025-03-14T04:14:28.5638688Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/setuptools/_distutils/cmd.py:79: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-03-14T04:14:28.5639919Z !!
2025-03-14T04:14:28.5640074Z 
2025-03-14T04:14:28.5640207Z         ********************************************************************************
2025-03-14T04:14:28.5640673Z         Please avoid running ``setup.py`` directly.
2025-03-14T04:14:28.5641108Z         Instead, use pypa/build, pypa/installer or other
2025-03-14T04:14:28.5641559Z         standards-based tools.
2025-03-14T04:14:28.5641772Z 
2025-03-14T04:14:28.5642136Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-03-14T04:14:28.5642710Z         ********************************************************************************
2025-03-14T04:14:28.5643033Z 
2025-03-14T04:14:28.5643124Z !!
2025-03-14T04:14:28.5643366Z   self.initialize_options()
2025-03-14T04:14:28.5767885Z running build
2025-03-14T04:14:28.5768175Z running build_py
2025-03-14T04:14:28.5844609Z creating build/lib.linux-x86_64-cpython-313/pytorch_openreg
2025-03-14T04:14:28.5857883Z copying pytorch_openreg/__init__.py -> build/lib.linux-x86_64-cpython-313/pytorch_openreg
2025-03-14T04:14:28.5864179Z copying pytorch_openreg/_aten_impl.py -> build/lib.linux-x86_64-cpython-313/pytorch_openreg
2025-03-14T04:14:28.5869724Z copying pytorch_openreg/_device_daemon.py -> build/lib.linux-x86_64-cpython-313/pytorch_openreg
2025-03-14T04:14:28.5876489Z copying pytorch_openreg/_meta_parser.py -> build/lib.linux-x86_64-cpython-313/pytorch_openreg
2025-03-14T04:14:28.5886045Z running build_ext
2025-03-14T04:14:28.6961368Z building 'pytorch_openreg._C' extension
2025-03-14T04:14:28.6965327Z creating /var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/build/temp.linux-x86_64-cpython-313/var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc
2025-03-14T04:14:28.7263076Z Emitting ninja build file /var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/build/temp.linux-x86_64-cpython-313/build.ninja...
2025-03-14T04:14:28.7264002Z Compiling objects...
2025-03-14T04:14:28.7264367Z Using envvar MAX_JOBS (6) as the number of workers...
2025-03-14T04:14:29.1305422Z [1/3] c++ -MMD -MF /var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/build/temp.linux-x86_64-cpython-313/var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc/Module.o.d -pthread -B /opt/conda/envs/py_3.13/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/py_3.13/include/python3.13 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc/Module.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/build/temp.linux-x86_64-cpython-313/var/lib/jenkins/workspace/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="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1002"' -DTORCH_EXTENSION_NAME=_C -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++17
2025-03-14T04:14:29.1422489Z [2/3] c++ -MMD -MF /var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/build/temp.linux-x86_64-cpython-313/var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc/OpenRegHooks.o.d -pthread -B /opt/conda/envs/py_3.13/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/py_3.13/include/python3.13 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc/OpenRegHooks.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/build/temp.linux-x86_64-cpython-313/var/lib/jenkins/workspace/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="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1002"' -DTORCH_EXTENSION_NAME=_C -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++17
2025-03-14T04:14:29.1705865Z [3/3] c++ -MMD -MF /var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/build/temp.linux-x86_64-cpython-313/var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc/OpenRegMem.o.d -pthread -B /opt/conda/envs/py_3.13/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/py_3.13/include/python3.13 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc/OpenRegMem.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/build/temp.linux-x86_64-cpython-313/var/lib/jenkins/workspace/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="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1002"' -DTORCH_EXTENSION_NAME=_C -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++17
2025-03-14T04:14:29.1760509Z g++ -pthread -B /opt/conda/envs/py_3.13/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -pthread -B /opt/conda/envs/py_3.13/compiler_compat -shared -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib /var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/build/temp.linux-x86_64-cpython-313/var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc/Module.o /var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/build/temp.linux-x86_64-cpython-313/var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc/OpenRegHooks.o /var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/build/temp.linux-x86_64-cpython-313/var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc/OpenRegMem.o -L/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-313/pytorch_openreg/_C.so
2025-03-14T04:14:29.4466875Z running install_lib
2025-03-14T04:14:29.4545123Z creating install/opt/conda/envs/py_3.13/lib/python3.13/site-packages
2025-03-14T04:14:29.4548165Z creating install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/pytorch_openreg
2025-03-14T04:14:29.4549666Z copying build/lib.linux-x86_64-cpython-313/pytorch_openreg/__init__.py -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/pytorch_openreg
2025-03-14T04:14:29.4551628Z copying build/lib.linux-x86_64-cpython-313/pytorch_openreg/_aten_impl.py -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/pytorch_openreg
2025-03-14T04:14:29.4553391Z copying build/lib.linux-x86_64-cpython-313/pytorch_openreg/_device_daemon.py -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/pytorch_openreg
2025-03-14T04:14:29.4555823Z copying build/lib.linux-x86_64-cpython-313/pytorch_openreg/_meta_parser.py -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/pytorch_openreg
2025-03-14T04:14:29.4557108Z copying build/lib.linux-x86_64-cpython-313/pytorch_openreg/_C.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/pytorch_openreg
2025-03-14T04:14:29.4605103Z byte-compiling ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/pytorch_openreg/__init__.py to __init__.cpython-313.pyc
2025-03-14T04:14:29.4608516Z byte-compiling ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/pytorch_openreg/_aten_impl.py to _aten_impl.cpython-313.pyc
2025-03-14T04:14:29.4625178Z byte-compiling ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/pytorch_openreg/_device_daemon.py to _device_daemon.cpython-313.pyc
2025-03-14T04:14:29.4653966Z byte-compiling ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/pytorch_openreg/_meta_parser.py to _meta_parser.cpython-313.pyc
2025-03-14T04:14:29.4662370Z running install_egg_info
2025-03-14T04:14:29.4831960Z running egg_info
2025-03-14T04:14:29.4900372Z creating pytorch_openreg.egg-info
2025-03-14T04:14:29.4901078Z writing pytorch_openreg.egg-info/PKG-INFO
2025-03-14T04:14:29.4904557Z writing dependency_links to pytorch_openreg.egg-info/dependency_links.txt
2025-03-14T04:14:29.4906525Z writing requirements to pytorch_openreg.egg-info/requires.txt
2025-03-14T04:14:29.4907473Z writing top-level names to pytorch_openreg.egg-info/top_level.txt
2025-03-14T04:14:29.4908493Z writing manifest file 'pytorch_openreg.egg-info/SOURCES.txt'
2025-03-14T04:14:29.4983910Z reading manifest file 'pytorch_openreg.egg-info/SOURCES.txt'
2025-03-14T04:14:29.4990794Z writing manifest file 'pytorch_openreg.egg-info/SOURCES.txt'
2025-03-14T04:14:29.4992265Z Copying pytorch_openreg.egg-info to ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/pytorch_openreg-1.0-py3.13.egg-info
2025-03-14T04:14:29.4998113Z running install_scripts
2025-03-14T04:14:29.9183108Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:14:29.9186536Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:14:29.918356]
2025-03-14T04:14:37.3931453Z 
2025-03-14T04:14:37.3932506Z test_transformers_privateuse1 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_transformers_privateuse1_1.1_d209c05e09495e70_.log
2025-03-14T04:14:37.3935132Z 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
2025-03-14T04:14:37.3936896Z 
2025-03-14T04:14:37.3937222Z Running test_cpp_extensions_open_device_registration 1/1 ... [2025-03-14 04:14:37.393338]
2025-03-14T04:14:38.8982083Z running install
2025-03-14T04:14:38.8983750Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/setuptools/_distutils/cmd.py:79: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-03-14T04:14:38.8984594Z !!
2025-03-14T04:14:38.8984716Z 
2025-03-14T04:14:38.8984865Z         ********************************************************************************
2025-03-14T04:14:38.8985278Z         Please avoid running ``setup.py`` directly.
2025-03-14T04:14:38.8985707Z         Instead, use pypa/build, pypa/installer or other
2025-03-14T04:14:38.8986105Z         standards-based tools.
2025-03-14T04:14:38.8986306Z 
2025-03-14T04:14:38.8986630Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-03-14T04:14:38.8987305Z         ********************************************************************************
2025-03-14T04:14:38.8987558Z 
2025-03-14T04:14:38.8987663Z !!
2025-03-14T04:14:38.8987909Z   self.initialize_options()
2025-03-14T04:14:38.9113883Z running build
2025-03-14T04:14:38.9114164Z running build_py
2025-03-14T04:14:38.9191779Z creating build/lib.linux-x86_64-cpython-313/pytorch_openreg
2025-03-14T04:14:38.9193907Z copying pytorch_openreg/__init__.py -> build/lib.linux-x86_64-cpython-313/pytorch_openreg
2025-03-14T04:14:38.9195860Z copying pytorch_openreg/_aten_impl.py -> build/lib.linux-x86_64-cpython-313/pytorch_openreg
2025-03-14T04:14:38.9197630Z copying pytorch_openreg/_device_daemon.py -> build/lib.linux-x86_64-cpython-313/pytorch_openreg
2025-03-14T04:14:38.9199293Z copying pytorch_openreg/_meta_parser.py -> build/lib.linux-x86_64-cpython-313/pytorch_openreg
2025-03-14T04:14:38.9205089Z running build_ext
2025-03-14T04:14:39.0297097Z building 'pytorch_openreg._C' extension
2025-03-14T04:14:39.0300651Z creating /var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/build/temp.linux-x86_64-cpython-313/var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc
2025-03-14T04:14:39.0605167Z Emitting ninja build file /var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/build/temp.linux-x86_64-cpython-313/build.ninja...
2025-03-14T04:14:39.0606170Z Compiling objects...
2025-03-14T04:14:39.0606574Z Using envvar MAX_JOBS (6) as the number of workers...
2025-03-14T04:14:39.3608021Z [1/3] c++ -MMD -MF /var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/build/temp.linux-x86_64-cpython-313/var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc/Module.o.d -pthread -B /opt/conda/envs/py_3.13/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/py_3.13/include/python3.13 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc/Module.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/build/temp.linux-x86_64-cpython-313/var/lib/jenkins/workspace/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="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1002"' -DTORCH_EXTENSION_NAME=_C -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++17
2025-03-14T04:14:39.4084345Z [2/3] c++ -MMD -MF /var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/build/temp.linux-x86_64-cpython-313/var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc/OpenRegMem.o.d -pthread -B /opt/conda/envs/py_3.13/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/py_3.13/include/python3.13 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc/OpenRegMem.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/build/temp.linux-x86_64-cpython-313/var/lib/jenkins/workspace/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="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1002"' -DTORCH_EXTENSION_NAME=_C -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++17
2025-03-14T04:14:39.4235144Z [3/3] c++ -MMD -MF /var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/build/temp.linux-x86_64-cpython-313/var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc/OpenRegHooks.o.d -pthread -B /opt/conda/envs/py_3.13/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/py_3.13/include/python3.13 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc/OpenRegHooks.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/build/temp.linux-x86_64-cpython-313/var/lib/jenkins/workspace/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="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1002"' -DTORCH_EXTENSION_NAME=_C -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++17
2025-03-14T04:14:39.4289942Z g++ -pthread -B /opt/conda/envs/py_3.13/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -pthread -B /opt/conda/envs/py_3.13/compiler_compat -shared -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib /var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/build/temp.linux-x86_64-cpython-313/var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc/Module.o /var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/build/temp.linux-x86_64-cpython-313/var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc/OpenRegHooks.o /var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/build/temp.linux-x86_64-cpython-313/var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc/OpenRegMem.o -L/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-313/pytorch_openreg/_C.so
2025-03-14T04:14:39.6970802Z running install_lib
2025-03-14T04:14:39.7051399Z copying build/lib.linux-x86_64-cpython-313/pytorch_openreg/_C.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/pytorch_openreg
2025-03-14T04:14:39.7111701Z running install_egg_info
2025-03-14T04:14:39.7283095Z running egg_info
2025-03-14T04:14:39.7352400Z writing pytorch_openreg.egg-info/PKG-INFO
2025-03-14T04:14:39.7356465Z writing dependency_links to pytorch_openreg.egg-info/dependency_links.txt
2025-03-14T04:14:39.7368258Z writing requirements to pytorch_openreg.egg-info/requires.txt
2025-03-14T04:14:39.7377354Z writing top-level names to pytorch_openreg.egg-info/top_level.txt
2025-03-14T04:14:39.7462982Z reading manifest file 'pytorch_openreg.egg-info/SOURCES.txt'
2025-03-14T04:14:39.7473232Z writing manifest file 'pytorch_openreg.egg-info/SOURCES.txt'
2025-03-14T04:14:39.7483239Z removing './install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/pytorch_openreg-1.0-py3.13.egg-info' (and everything under it)
2025-03-14T04:14:39.7484864Z Copying pytorch_openreg.egg-info to ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/pytorch_openreg-1.0-py3.13.egg-info
2025-03-14T04:14:39.7490841Z running install_scripts
2025-03-14T04:14:40.1815286Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:14:40.1819527Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:14:40.181560]
2025-03-14T04:14:54.3152968Z 
2025-03-14T04:14:54.3154177Z 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_cf45f7beb4f303a7_.log
2025-03-14T04:14:54.3169404Z 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
2025-03-14T04:14:54.3183459Z 
2025-03-14T04:14:54.3183725Z Running test_namedtuple_return_api 1/1 ... [2025-03-14 04:14:54.315471]
2025-03-14T04:14:54.3184246Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:14:54.3185465Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:14:54.315820]
2025-03-14T04:14:58.5857533Z 
2025-03-14T04:14:58.5858936Z 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_324a98446da9a40c_.log
2025-03-14T04:14:58.5862463Z 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
2025-03-14T04:14:58.5864476Z 
2025-03-14T04:14:58.5864804Z Running test_tensorexpr 1/1 ... [2025-03-14 04:14:58.586074]
2025-03-14T04:14:58.5865475Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:14:58.5867625Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:14:58.586480]
2025-03-14T04:15:47.3653373Z 
2025-03-14T04:15:47.3654306Z test_tensorexpr 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorexpr_1.1_7edbd3073c6e5fb4_.log
2025-03-14T04:15:47.3677320Z 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
2025-03-14T04:15:47.3698988Z 
2025-03-14T04:15:47.3699160Z Running test_utils 1/1 ... [2025-03-14 04:15:47.365620]
2025-03-14T04:15:47.3699564Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:15:47.3700610Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:15:47.365975]
2025-03-14T04:19:02.9486921Z 
2025-03-14T04:19:02.9487829Z test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_utils_1.1_4c8d5cedc77be6b2_.log
2025-03-14T04:19:03.1697755Z Running 6028 items in this shard: test/test_utils.py::TestCheckpoint::test_checkpoint, test/test_utils.py::TestCheckpoint::test_checkpoint_module_list, test/test_utils.py::TestCheckpoint::test_checkpoint_no_tensors, test/test_utils.py::TestCheckpoint::test_checkpoint_non_tensor, test/test_utils.py::TestCheckpoint::test_checkpoint_non_tensor_inputs_outputs, test/test_utils.py::TestCheckpoint::test_checkpoint_not_preserve_rng_state_and_without_reentrant, test/test_utils.py::TestCheckpoint::test_checkpoint_partial_grad, test/test_utils.py::TestCheckpoint::test_checkpoint_rng_cpu, test/test_utils.py::TestCheckpoint::test_checkpoint_rng_cuda, test/test_utils.py::TestCheckpoint::test_checkpoint_sequential_deprecated_multiple_args, test/test_utils.py::TestCheckpoint::test_checkpoint_sequential_deprecated_no_args, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_valid, test/test_utils.py::TestCheckpoint::test_checkpointing_without_reentrant_early_free, test/test_utils.py::TestCheckpoint::test_get_device_states_recursive, test/test_utils.py::TestCheckpoint::test_infer_device_state_recursive_meta, test/test_utils.py::TestCheckpoint::test_infer_device_state_recursive_multi_cuda, test/test_utils.py::TestDataLoaderUtils::test_multi_drop, test/test_utils.py::TestDataLoaderUtils::test_multi_keep, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_single_drop, test/test_utils.py::TestDataLoaderUtils::test_single_keep, test/test_utils.py::TestBottleneck::test_bottleneck_cpu_only, test/test_utils.py::TestBottleneck::test_bottleneck_cuda, test/test_utils.py::TestCollectEnv::test_smoke, test/test_utils.py::TestONNXUtils::test_check_onnx_broadcast, test/test_utils.py::TestONNXUtils::test_prepare_onnx_paddings, test/test_utils.py::TestHipify::test_import_hipify, test/test_utils.py::TestHipifyTrie::test_add_and_search_trie, test/test_utils.py::TestHipifyTrie::test_add_multiple_and_search_trie, test/test_utils.py::TestHipifyTrie::test_char_export_trie_to_regex, test/test_utils.py::TestHipifyTrie::test_export_trie_to_regex, test/test_utils.py::TestHipifyTrie::test_prefix_words_export_trie_to_regex, test/test_utils.py::TestHipifyTrie::test_quote_escape, test/test_utils.py::TestHipifyTrie::test_single_export_trie_to_regex, test/test_utils.py::TestHipifyTrie::test_special_char_export_trie_to_regex, test/test_utils.py::TestAssert::test_assert_scriptable, test/test_utils.py::TestAssert::test_assert_true, test/test_utils.py::TestStandaloneCPPJIT::test_load_standalone, test/test_utils.py::TestRenderUtils::test_basic, test/test_utils.py::TestDeviceUtilsCPU::test_basic_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_decorator_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_decorator_generator_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_int64, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmod___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmod___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmod___cpu_float32, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___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___rxor___cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rxor___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rxor___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rxor___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rxor___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rxor___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__batch_norm_with_update_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__batch_norm_with_update_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__batch_norm_with_update_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__batch_norm_with_update_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__native_batch_norm_legit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__native_batch_norm_legit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__native_batch_norm_legit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__native_batch_norm_legit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_lengths_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_lengths_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_lengths_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_lengths_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_offsets_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_offsets_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_offsets_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_offsets_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__softmax_backward_data_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__softmax_backward_data_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__softmax_backward_data_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__softmax_backward_data_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__upsample_bilinear2d_aa_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__upsample_bilinear2d_aa_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__upsample_bilinear2d_aa_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_uint8, 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, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_complex32, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_int8, 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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, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_2d_cpu_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_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
2025-03-14T04:19:03.4280026Z 
2025-03-14T04:19:03.4280288Z Running test_multiprocessing 1/1 ... [2025-03-14 04:19:02.957597]
2025-03-14T04:19:03.4280772Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:19:03.4281885Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:19:02.958055]
2025-03-14T04:20:05.3091266Z 
2025-03-14T04:20:05.3092416Z test_multiprocessing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_1.1_235e5bc8326d1694_.log
2025-03-14T04:20:05.3110096Z 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
2025-03-14T04:20:05.3125293Z 
2025-03-14T04:20:05.3125463Z Running test_torch 1/1 ... [2025-03-14 04:20:05.309349]
2025-03-14T04:20:05.3125929Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:20:05.3127043Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:20:05.309646]
2025-03-14T04:20:26.3020257Z 
2025-03-14T04:20:26.3022952Z test_torch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_torch_1.1_bff8520e38696efb_.log
2025-03-14T04:20:26.3356485Z Running 1035 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, 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test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_kstest_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_no_inf_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_no_inf_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_cuda_backward_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_euclidean_large_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_grad_p_lt_1_no_nan_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_non_contiguous_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_non_contiguous_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_norm_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_norm_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_same_inputs_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_check_tensor_all_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_check_tensor_internal_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_clone_all_dtypes_and_devices_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_clone_not_memory_dense_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_clone_zero_stride_dim_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_complex_half_experimental_warning_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_constants_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_conv_transposed_backward_agnostic_to_memory_format_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_conv_transposed_large_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_complex32, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_all_dtypes_and_devices_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_math_view_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_mem_overlap_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_transpose_math_view_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_transpose_math_view_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_transpose_math_view_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_corrcoef_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_corrcoef_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_corrcoef_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_cov_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cpp_warnings_have_python_context_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cublas_config_nondeterministic_alert_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cummax_cummin_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cummax_discontiguous_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cummin_discontiguous_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cumprod_cpu, 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test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_replication_pad2d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_int8, 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test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_unscale_sparse_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_update_scale_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_all_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_all_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_all_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_extreme_cases_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_extreme_cases_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_extreme_cases_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_spacing_list_length_error_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_spacing_list_length_error_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_spacing_list_length_error_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_type_promotion_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_hook_remove_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_add_deterministic_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_add_large_inputs_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_add_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_cpu_int16, 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test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_FractionalMaxPool3d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_MaxPool3d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_MaxUnpool1d_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_MaxUnpool1d_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_MaxUnpool1d_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_MaxUnpool2d_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_MaxUnpool2d_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_MaxUnpool2d_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_MaxUnpool3d_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_MaxUnpool3d_cpu_float32, 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test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_non_unique_index_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_non_unique_index_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_non_unique_index_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_non_unique_index_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_non_unique_index_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_non_unique_index_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_non_unique_index_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_complex128, 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test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_to_large_input_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_zero_size_index_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_serialization_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_default_tensor_type_warnings_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_int32, 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test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_qint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_qint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_quint4x2, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_quint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_strides_propagation_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_sync_warning_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_uint16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_uint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_uint64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_set_errors_multigpu_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_shape_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_type_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_ternary_op_mem_overlap_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_uniform_kstest_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_uniform_kstest_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_uniform_kstest_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_uniform_kstest_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_untyped_storage_meta_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_warn_always_caught_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_where_scalar_handcrafted_values_cpu
2025-03-14T04:20:26.3681996Z 
2025-03-14T04:20:26.3682229Z Running test_autocast 1/1 ... [2025-03-14 04:20:26.303466]
2025-03-14T04:20:26.3682659Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:20:26.3683726Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:20:26.303795]
2025-03-14T04:20:30.2739596Z 
2025-03-14T04:20:30.2740483Z test_autocast 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autocast_1.1_50ce9a97ae47047e_.log
2025-03-14T04:20:30.2748016Z 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
2025-03-14T04:20:30.2754398Z 
2025-03-14T04:20:30.2754640Z Running test_autograd_fallback 1/1 ... [2025-03-14 04:20:30.274142]
2025-03-14T04:20:30.2755192Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:20:30.2756291Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:20:30.274463]
2025-03-14T04:20:33.9442928Z 
2025-03-14T04:20:33.9444432Z test_autograd_fallback 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autograd_fallback_1.1_c476944f73e812b6_.log
2025-03-14T04:20:33.9461149Z 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
2025-03-14T04:20:33.9473814Z 
2025-03-14T04:20:33.9474055Z Running test_python_dispatch 1/1 ... [2025-03-14 04:20:33.944564]
2025-03-14T04:20:33.9474626Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:20:33.9475792Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:20:33.944961]
2025-03-14T04:20:39.2164329Z 
2025-03-14T04:20:39.2165712Z test_python_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_python_dispatch_1.1_84bde65cf4804cbd_.log
2025-03-14T04:20:39.2211915Z Running 114 items in this shard: test/test_python_dispatch.py::TestDispatcherPythonBindings::test_call_boxed, test/test_python_dispatch.py::TestPythonRegistration::test_alias_analysis, test/test_python_dispatch.py::TestPythonRegistration::test_create_new_library, test/test_python_dispatch.py::TestPythonRegistration::test_create_new_library_fragment_no_existing, test/test_python_dispatch.py::TestPythonRegistration::test_create_new_library_fragment_with_existing, test/test_python_dispatch.py::TestPythonRegistration::test_error_for_unsupported_ns_or_kind, test/test_python_dispatch.py::TestPythonRegistration::test_error_if_fn_not_callable, test/test_python_dispatch.py::TestPythonRegistration::test_extend_library_with_dispatch_key_arg, test/test_python_dispatch.py::TestPythonRegistration::test_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
2025-03-14T04:20:39.2255989Z 
2025-03-14T04:20:39.2256205Z Running test_jit_disabled 1/1 ... [2025-03-14 04:20:39.216683]
2025-03-14T04:20:39.2256641Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:20:39.2257721Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:20:39.217008]
2025-03-14T04:20:42.7862517Z 
2025-03-14T04:20:42.7863565Z test_jit_disabled 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_disabled_1.1_d47bd52f8c873149_.log
2025-03-14T04:20:42.7865170Z 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
2025-03-14T04:20:42.7870173Z 
2025-03-14T04:20:42.7870810Z Running test_fake_tensor 1/1 ... [2025-03-14 04:20:42.786393]
2025-03-14T04:20:42.7871466Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:20:42.7873232Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:20:42.786747]
2025-03-14T04:20:53.0166502Z 
2025-03-14T04:20:53.0167765Z test_fake_tensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fake_tensor_1.1_cc428e643c0e71d7_.log
2025-03-14T04:20:53.0280423Z Running 268 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_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_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_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_meta_tensor_to_fake_cpu, test/test_fake_tensor.py::FakeTensorDispatchCache::test_shape_env_settings, test/test_fake_tensor.py::FakeTensorDispatchCache::test_wrapper_tensor_subclass_different_device
2025-03-14T04:20:53.0390765Z 
2025-03-14T04:20:53.0390928Z Running test_fx 1/1 ... [2025-03-14 04:20:53.017390]
2025-03-14T04:20:53.0391327Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:20:53.0392355Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:20:53.017738]
2025-03-14T04:24:54.8065629Z 
2025-03-14T04:24:54.8066476Z test_fx 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_1.1_353f86c11ab7bcf5_.log
2025-03-14T04:24:54.8580759Z Running 1257 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_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, test/test_fx.py::TestConstFold::test_const_fold_noop, 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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, test/test_fx.py::TestVisionTracing::test_torchvision_models_alexnet, test/test_fx.py::TestVisionTracing::test_torchvision_models_convnext_base, test/test_fx.py::TestVisionTracing::test_torchvision_models_convnext_large, test/test_fx.py::TestVisionTracing::test_torchvision_models_convnext_small, test/test_fx.py::TestVisionTracing::test_torchvision_models_convnext_tiny, test/test_fx.py::TestVisionTracing::test_torchvision_models_densenet121, test/test_fx.py::TestVisionTracing::test_torchvision_models_densenet161, test/test_fx.py::TestVisionTracing::test_torchvision_models_densenet169, test/test_fx.py::TestVisionTracing::test_torchvision_models_densenet201, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_fasterrcnn_mobilenet_v3_large_320_fpn, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_fasterrcnn_mobilenet_v3_large_fpn, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_fasterrcnn_resnet50_fpn, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_fasterrcnn_resnet50_fpn_v2, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_fcos_resnet50_fpn, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_keypointrcnn_resnet50_fpn, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_maskrcnn_resnet50_fpn, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_maskrcnn_resnet50_fpn_v2, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_retinanet_resnet50_fpn, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_retinanet_resnet50_fpn_v2, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_ssd300_vgg16, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_ssdlite320_mobilenet_v3_large, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b0, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b1, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b2, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b3, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b4, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b5, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b6, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_v2_l, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_v2_m, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_v2_s, test/test_fx.py::TestVisionTracing::test_torchvision_models_googlenet, test/test_fx.py::TestVisionTracing::test_torchvision_models_inception_v3, test/test_fx.py::TestVisionTracing::test_torchvision_models_maxvit_t, test/test_fx.py::TestVisionTracing::test_torchvision_models_mnasnet0_5, test/test_fx.py::TestVisionTracing::test_torchvision_models_mnasnet0_75, test/test_fx.py::TestVisionTracing::test_torchvision_models_mnasnet1_0, test/test_fx.py::TestVisionTracing::test_torchvision_models_mnasnet1_3, test/test_fx.py::TestVisionTracing::test_torchvision_models_mobilenet_v2, test/test_fx.py::TestVisionTracing::test_torchvision_models_mobilenet_v3_large, test/test_fx.py::TestVisionTracing::test_torchvision_models_mobilenet_v3_small, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_x_16gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_x_1_6gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_x_32gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_x_3_2gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_x_400mf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_x_800mf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_x_8gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_128gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_16gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_1_6gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_32gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_3_2gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_400mf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_800mf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_8gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_resnet101, test/test_fx.py::TestVisionTracing::test_torchvision_models_resnet152, test/test_fx.py::TestVisionTracing::test_torchvision_models_resnet18, test/test_fx.py::TestVisionTracing::test_torchvision_models_resnet34, test/test_fx.py::TestVisionTracing::test_torchvision_models_resnet50, test/test_fx.py::TestVisionTracing::test_torchvision_models_resnext101_32x8d, test/test_fx.py::TestVisionTracing::test_torchvision_models_resnext101_64x4d, test/test_fx.py::TestVisionTracing::test_torchvision_models_resnext50_32x4d, test/test_fx.py::TestVisionTracing::test_torchvision_models_segmentation_deeplabv3_mobilenet_v3_large, test/test_fx.py::TestVisionTracing::test_torchvision_models_segmentation_deeplabv3_resnet101, test/test_fx.py::TestVisionTracing::test_torchvision_models_segmentation_deeplabv3_resnet50, test/test_fx.py::TestVisionTracing::test_torchvision_models_segmentation_fcn_resnet101, test/test_fx.py::TestVisionTracing::test_torchvision_models_segmentation_fcn_resnet50, test/test_fx.py::TestVisionTracing::test_torchvision_models_segmentation_lraspp_mobilenet_v3_large, test/test_fx.py::TestVisionTracing::test_torchvision_models_shufflenet_v2_x0_5, test/test_fx.py::TestVisionTracing::test_torchvision_models_shufflenet_v2_x1_0, test/test_fx.py::TestVisionTracing::test_torchvision_models_shufflenet_v2_x1_5, test/test_fx.py::TestVisionTracing::test_torchvision_models_shufflenet_v2_x2_0, test/test_fx.py::TestVisionTracing::test_torchvision_models_squeezenet1_0, test/test_fx.py::TestVisionTracing::test_torchvision_models_squeezenet1_1, test/test_fx.py::TestVisionTracing::test_torchvision_models_swin_b, test/test_fx.py::TestVisionTracing::test_torchvision_models_swin_s, test/test_fx.py::TestVisionTracing::test_torchvision_models_swin_t, test/test_fx.py::TestVisionTracing::test_torchvision_models_swin_v2_b, test/test_fx.py::TestVisionTracing::test_torchvision_models_swin_v2_s, test/test_fx.py::TestVisionTracing::test_torchvision_models_swin_v2_t, test/test_fx.py::TestVisionTracing::test_torchvision_models_vgg11, test/test_fx.py::TestVisionTracing::test_torchvision_models_vgg11_bn, test/test_fx.py::TestVisionTracing::test_torchvision_models_vgg13, test/test_fx.py::TestVisionTracing::test_torchvision_models_vgg13_bn, test/test_fx.py::TestVisionTracing::test_torchvision_models_vgg16, test/test_fx.py::TestVisionTracing::test_torchvision_models_vgg16_bn, test/test_fx.py::TestVisionTracing::test_torchvision_models_vgg19, test/test_fx.py::TestVisionTracing::test_torchvision_models_vgg19_bn, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_mc3_18, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_mvit_v1_b, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_mvit_v2_s, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_r2plus1d_18, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_r3d_18, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_s3d, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_swin3d_b, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_swin3d_s, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_swin3d_t, test/test_fx.py::TestVisionTracing::test_torchvision_models_vit_b_16, test/test_fx.py::TestVisionTracing::test_torchvision_models_vit_b_32, test/test_fx.py::TestVisionTracing::test_torchvision_models_vit_h_14, test/test_fx.py::TestVisionTracing::test_torchvision_models_vit_l_16, test/test_fx.py::TestVisionTracing::test_torchvision_models_vit_l_32, test/test_fx.py::TestVisionTracing::test_torchvision_models_wide_resnet101_2, test/test_fx.py::TestVisionTracing::test_torchvision_models_wide_resnet50_2
2025-03-14T04:24:54.9063601Z 
2025-03-14T04:24:54.9063887Z Running test_cpp_extensions_mtia_backend 1/1 ... [2025-03-14 04:24:54.808520]
2025-03-14T04:24:54.9064438Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:24:54.9065592Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:24:54.808862]
2025-03-14T04:24:59.9800344Z 
2025-03-14T04:24:59.9801964Z 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_96016cbed758b8f0_.log
2025-03-14T04:24:59.9806987Z 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
2025-03-14T04:24:59.9810671Z 
2025-03-14T04:24:59.9810966Z Running inductor/test_max_autotune 1/1 ... [2025-03-14 04:24:59.980271]
2025-03-14T04:24:59.9811457Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:24:59.9812762Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:24:59.980672]
2025-03-14T04:25:06.8322008Z 
2025-03-14T04:25:06.8323582Z 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_81bd147935d1294e_.log
2025-03-14T04:25:06.8324751Z 
2025-03-14T04:25:06.8326026Z Running test_cpp_extensions_stream_and_event 1/1 ... [2025-03-14 04:25:06.832427]
2025-03-14T04:25:06.8327172Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:25:06.8331601Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:25:06.832842]
2025-03-14T04:25:10.8029970Z 
2025-03-14T04:25:10.8031658Z 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_b1e5f67a5d2b56e5_.log
2025-03-14T04:25:10.8062374Z Running 1 items in this shard: test/test_cpp_extensions_stream_and_event.py::TestCppExtensionStreamAndEvent::test_stream_event
2025-03-14T04:25:10.8062987Z 
2025-03-14T04:25:10.8063232Z Running test_cpp_extensions_jit 1/1 ... [2025-03-14 04:25:10.802942]
2025-03-14T04:25:10.8063701Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:25:10.8064802Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:25:10.803248]
2025-03-14T04:25:42.8120365Z 
2025-03-14T04:25:42.8121494Z 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_549810f81ee45f49_.log
2025-03-14T04:25:42.8134858Z Running 29 items in this shard: test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_autograd_from_cpp, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_compilation_error_formatting, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cpp_frontend_module_has_same_output_as_python, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cpp_frontend_module_has_up_to_date_attributes, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cpp_frontend_module_python_inter_op, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cpp_frontend_module_python_inter_op_with_cuda, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_custom_compound_op_autograd, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_custom_functorch_error, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_gen_extension_h_pch, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_half_support, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_custom_op_cuda, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_cuda, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_multiple_sources_and_no_functions, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_throws_when_functions_is_bad, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_with_functions_as_dict, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_with_functions_as_list, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_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_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
2025-03-14T04:25:42.8146598Z 
2025-03-14T04:25:42.8146784Z Running test_native_mha 1/1 ... [2025-03-14 04:25:42.812277]
2025-03-14T04:25:42.8147215Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:25:42.8148282Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:25:42.812592]
2025-03-14T04:25:46.3819473Z 
2025-03-14T04:25:46.3820429Z test_native_mha 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_native_mha_1.1_04cdc1d283d6862b_.log
2025-03-14T04:25:46.3843835Z 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
2025-03-14T04:25:46.3865696Z 
2025-03-14T04:25:46.3865934Z Running test_tensor_creation_ops 1/1 ... [2025-03-14 04:25:46.382194]
2025-03-14T04:25:46.3866411Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:25:46.3867691Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:25:46.382511]
2025-03-14T04:26:17.3380814Z 
2025-03-14T04:26:17.3382062Z 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_a9c4dc794755ab94_.log
2025-03-14T04:26:17.3629027Z 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, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_mem_overlap_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_channels_last_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_uint16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_uint32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_uint64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_memory_format_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_preserve_channels_last_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_stack_cross_devices_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_combinations_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_complex_type_conversions_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_constructor_device_legacy_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_constructor_dtypes_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_ctor_with_numpy_array_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_device_rounding_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_device_rounding_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_diag_embed_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_diagflat_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dsplit_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dsplit_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dsplit_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_empty_full_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_empty_overflow_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_empty_strided_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_empty_tensor_props_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_eye_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_fill_all_dtypes_and_devices_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_from_file_shared_False_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_from_file_shared_True_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_full_inference_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_full_inference_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_full_inference_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_full_out_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hsplit_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hsplit_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hsplit_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_window_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_window_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_window_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_window_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_window_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_large_linspace_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_large_linspace_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_like_fn_stride_proparation_vs_tensoriterator_unary_op_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linlogspace_mem_overlap_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_deduction_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_complex_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_integral_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_integral_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_integral_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_integral_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_integral_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_base2_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_base2_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_deduction_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_device_vs_cpu_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_device_vs_cpu_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_special_steps_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_special_steps_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_vs_numpy_complex_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_vs_numpy_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_vs_numpy_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_default_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_empty_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_ij_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_ij_indexing_is_default_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_inconsistent_device_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_inconsistent_dtype_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_non_1d_tensor_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_unsupported_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_vs_numpy_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_warns_if_no_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_xy_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_new_empty_strided_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_new_methods_requires_grad_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_new_tensor_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_new_tensor_device_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_offset_scalar_cast_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_ones_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_bool_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_bool_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_uint16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_uint32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_uint16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_uint32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_uint16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_uint32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_range_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_range_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_range_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_range_factories_64bit_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_range_warning_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_repeat_interleave_cpu, 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
2025-03-14T04:26:17.3996214Z 
2025-03-14T04:26:17.3996604Z Running test_sort_and_select 1/1 ... [2025-03-14 04:26:17.339134]
2025-03-14T04:26:17.3997437Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:26:17.3999507Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:26:17.339458]
2025-03-14T04:26:23.0111005Z 
2025-03-14T04:26:23.0111937Z 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_6592dd6edeab1064_.log
2025-03-14T04:26:23.0151949Z 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
2025-03-14T04:26:23.0191272Z 
2025-03-14T04:26:23.0191476Z Running test_dispatch 1/1 ... [2025-03-14 04:26:23.011373]
2025-03-14T04:26:23.0191907Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:26:23.0192976Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:26:23.011682]
2025-03-14T04:26:50.7625982Z 
2025-03-14T04:26:50.7626896Z test_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dispatch_1.1_ed6d2bb3850e7b24_.log
2025-03-14T04:26:50.7639296Z 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
2025-03-14T04:26:50.7649200Z 
2025-03-14T04:26:50.7649444Z Running test_cuda_primary_ctx 1/1 ... [2025-03-14 04:26:50.762827]
2025-03-14T04:26:50.7649892Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:26:50.7651259Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:26:50.763175]
2025-03-14T04:26:54.2083679Z 
2025-03-14T04:26:54.2084857Z 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_b83f9f67bb1aa865_.log
2025-03-14T04:26:54.2085810Z Running 0 items in this shard:
2025-03-14T04:26:54.2086191Z 
2025-03-14T04:26:54.2088277Z Running test_multiprocessing_spawn 1/1 ... [2025-03-14 04:26:54.208547]
2025-03-14T04:26:54.2089107Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:26:54.2092311Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:26:54.208909]
2025-03-14T04:29:08.4034707Z 
2025-03-14T04:29:08.4035841Z test_multiprocessing_spawn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_spawn_1.1_f0c503ee45046773_.log
2025-03-14T04:29:08.4048663Z 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
2025-03-14T04:29:08.4060716Z 
2025-03-14T04:29:08.4060932Z Running nn/test_convolution 1/1 ... [2025-03-14 04:29:08.403652]
2025-03-14T04:29:08.4061433Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:29:08.4062938Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:29:08.403960]
2025-03-14T04:29:33.8587104Z 
2025-03-14T04:29:33.8588050Z nn/test_convolution 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_convolution_1.1_5823191f158090af_.log
2025-03-14T04:29:33.8945809Z Running 588 items in this shard: test/nn/test_convolution.py::TestConvolutionNN::test_Conv1d_module_same_padding, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_1x1, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_OneDNN, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_backward_twice, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_groups_nobias, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_groups_nobias_v2, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_inconsistent_types, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_inconsistent_types_on_GPU_with_cudnn, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_inconsistent_types_on_GPU_without_cudnn, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_missing_argument, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_module_same_padding, test/nn/test_convolution.py::TestConvolutionNN::test_Conv3d_groups_nobias, test/nn/test_convolution.py::TestConvolutionNN::test_Conv3d_groups_wbias, test/nn/test_convolution.py::TestConvolutionNN::test_Conv3d_module_same_padding, test/nn/test_convolution.py::TestConvolutionNN::test_ConvTranspose2d_half_cublas_gemm, test/nn/test_convolution.py::TestConvolutionNN::test_ConvTranspose2d_output_size, test/nn/test_convolution.py::TestConvolutionNN::test_ConvTranspose2d_output_size_downsample_upsample, test/nn/test_convolution.py::TestConvolutionNN::test_ConvTranspose3d_correct_output_size, test/nn/test_convolution.py::TestConvolutionNN::test_conv1d_issue_120547, test/nn/test_convolution.py::TestConvolutionNN::test_conv2d_discontiguous_weight, test/nn/test_convolution.py::TestConvolutionNN::test_conv3d_issue_120406, test/nn/test_convolution.py::TestConvolutionNN::test_conv_backcompat, test/nn/test_convolution.py::TestConvolutionNN::test_conv_cudnn_memory_layout_dominance, test/nn/test_convolution.py::TestConvolutionNN::test_conv_invalid_groups, test/nn/test_convolution.py::TestConvolutionNN::test_conv_modules_raise_error_on_incorrect_input_size, test/nn/test_convolution.py::TestConvolutionNN::test_conv_padding_mode, test/nn/test_convolution.py::TestConvolutionNN::test_conv_shapecheck, test/nn/test_convolution.py::TestConvolutionNN::test_conv_tbc, test/nn/test_convolution.py::TestConvolutionNN::test_cudnn_non_contiguous, test/nn/test_convolution.py::TestConvolutionNN::test_cudnn_noncontiguous_weight, test/nn/test_convolution.py::TestConvolutionNN::test_cudnn_not_mutate_stride, test/nn/test_convolution.py::TestConvolutionNN::test_functional_grad_conv, test/nn/test_convolution.py::TestConvolutionNN::test_functional_grad_conv2d, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv1d_input, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv1d_weight, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv2d_input, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv2d_weight, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv3d_input, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv3d_weight, test/nn/test_convolution.py::TestConvolutionNN::test_grouped_conv_cudnn_nhwc_support, test/nn/test_convolution.py::TestConvolutionNN::test_invalid_conv1d, test/nn/test_convolution.py::TestConvolutionNN::test_invalid_conv2d, test/nn/test_convolution.py::TestConvolutionNN::test_invalid_conv3d, test/nn/test_convolution.py::TestConvolutionNN::test_mismatch_shape_conv2d, test/nn/test_convolution.py::TestConvolutionNN::test_nnpack_conv, test/nn/test_convolution.py::TestConvolutionNN::test_permute_conv2d_issue_120211, test/nn/test_convolution.py::TestConvolutionNN::test_thnn_conv_strided_padded_dilated, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_backward_depthwise_cpu_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_backward_depthwise_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_depthwise_naive_groups_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_depthwise_naive_groups_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_depthwise_naive_groups_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_cpu_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_large_workspace_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_large_workspace_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_large_workspace_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_naive_groups_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_size_1_kernel_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv3d_depthwise_naive_groups_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv3d_depthwise_naive_groups_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv3d_depthwise_naive_groups_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_ConvTranspose2d_large_output_padding_cpu_float16, 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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_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
2025-03-14T04:29:33.9290010Z 
2025-03-14T04:29:33.9290226Z Running nn/test_pooling 1/1 ... [2025-03-14 04:29:33.860143]
2025-03-14T04:29:33.9290673Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:29:33.9291767Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:29:33.860533]
2025-03-14T04:30:09.0878859Z 
2025-03-14T04:30:09.0879938Z nn/test_pooling 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_pooling_1.1_9b0cf2c39f1624be_.log
2025-03-14T04:30:09.0921333Z Running 104 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_pool_odd_size_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_backward_fails_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, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pool3d_large_size_int64_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pool3d_size_one_feature_dim_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pool_invalid_size_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pool_large_size_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_bfloat16_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_large_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_max_nhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_max_nhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_shape_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_zero_stride_cpu
2025-03-14T04:30:09.0961572Z 
2025-03-14T04:30:09.0961797Z Running test_mobile_optimizer 1/1 ... [2025-03-14 04:30:09.088206]
2025-03-14T04:30:09.0962263Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:30:09.0963406Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:30:09.088518]
2025-03-14T04:30:15.3732868Z 
2025-03-14T04:30:15.3734344Z test_mobile_optimizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mobile_optimizer_1.1_30796308de67ae0a_.log
2025-03-14T04:30:15.3739674Z 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
2025-03-14T04:30:15.3743825Z 
2025-03-14T04:30:15.3744012Z Running test_nn 1/1 ... [2025-03-14 04:30:15.373589]
2025-03-14T04:30:15.3744416Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:30:15.3745912Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:30:15.373988]
2025-03-14T04:32:58.9740875Z 
2025-03-14T04:32:58.9742117Z test_nn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_nn_1.1_136d3815a6ede006_.log
2025-03-14T04:32:59.0955583Z Running 2193 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_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_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_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, 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
2025-03-14T04:32:59.2149151Z 
2025-03-14T04:32:59.2149438Z Running test_cuda_nvml_based_avail 1/1 ... [2025-03-14 04:32:58.977866]
2025-03-14T04:32:59.2149927Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:32:59.2151398Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:32:58.978190]
2025-03-14T04:33:02.4214348Z 
2025-03-14T04:33:02.4215343Z 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_d0d04ebc66f0fc42_.log
2025-03-14T04:33:02.4216199Z Running 0 items in this shard:
2025-03-14T04:33:02.4216516Z 
2025-03-14T04:33:02.4217405Z Running test_cuda_trace 1/1 ... [2025-03-14 04:33:02.421582]
2025-03-14T04:33:02.4217834Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:33:02.4221116Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:33:02.421883]
2025-03-14T04:33:05.8413904Z 
2025-03-14T04:33:05.8414912Z test_cuda_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_trace_1.1_e1645aa325cd72e0_.log
2025-03-14T04:33:05.8416503Z Running 0 items in this shard:
2025-03-14T04:33:05.8416783Z 
2025-03-14T04:33:05.8417022Z Running test_spectral_ops 1/1 ... [2025-03-14 04:33:05.841499]
2025-03-14T04:33:05.8417481Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:33:05.8420654Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:33:05.841844]
2025-03-14T04:33:17.5741219Z 
2025-03-14T04:33:17.5742908Z test_spectral_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_spectral_ops_1.1_0cc60fe611b64029_.log
2025-03-14T04:33:17.5838349Z 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, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ifft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ifft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ifft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ifft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ifftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ifftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ihfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ihfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ihfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_irfft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_irfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_irfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_irfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_irfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_irfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_rfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_rfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_rfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_fft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_fft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_fft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_fft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_fftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_fftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_hfft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_hfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_hfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_hfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_hfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_hfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ifft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ifft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ifft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ifft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ifftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ifftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ihfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ihfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ihfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_irfft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_irfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_irfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_irfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_irfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_irfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_rfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_rfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_rfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_ifft_cpu, test/test_spectral_ops.py::TestFFTCPU::test_fft2_fftn_equivalence_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fft2_fftn_equivalence_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fft2_invalid_cpu, test/test_spectral_ops.py::TestFFTCPU::test_fft2_numpy_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_fft2_numpy_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_fft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_fft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_fft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_fft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_fftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_fftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_hfft2_cpu_bfloat16, 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test/test_spectral_ops.py::TestFFTCPU::test_stft_window_device_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_fft2_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_fft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_fftfreq_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_fftn_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_fftshift_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_hfft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_ifft2_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_ifft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_ifftn_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_ifftshift_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_ihfft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_irfft2_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_irfft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_irfftn_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_rfft2_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_rfft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_rfftfreq_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_rfftn_cpu
2025-03-14T04:33:17.5931699Z 
2025-03-14T04:33:17.5931995Z Running distributions/test_distributions 1/1 ... [2025-03-14 04:33:17.574718]
2025-03-14T04:33:17.5932519Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:33:17.5933707Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:33:17.575091]
2025-03-14T04:34:16.7189354Z 
2025-03-14T04:34:16.7190813Z distributions/test_distributions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/distributions.test_distributions_1.1_1b4b002a5a1833e1_.log
2025-03-14T04:34:16.7283359Z Running 226 items in this shard: test/distributions/test_distributions.py::TestDistributions::test_argmax_relaxed_categorical, test/distributions/test_distributions.py::TestDistributions::test_bernoulli, test/distributions/test_distributions.py::TestDistributions::test_bernoulli_3d, test/distributions/test_distributions.py::TestDistributions::test_bernoulli_enumerate_support, test/distributions/test_distributions.py::TestDistributions::test_beta_log_prob, test/distributions/test_distributions.py::TestDistributions::test_beta_sample, test/distributions/test_distributions.py::TestDistributions::test_beta_shape, test/distributions/test_distributions.py::TestDistributions::test_beta_underflow, test/distributions/test_distributions.py::TestDistributions::test_beta_underflow_gpu, test/distributions/test_distributions.py::TestDistributions::test_binomial, test/distributions/test_distributions.py::TestDistributions::test_binomial_bfloat16, test/distributions/test_distributions.py::TestDistributions::test_binomial_enumerate_support, test/distributions/test_distributions.py::TestDistributions::test_binomial_extreme_vals, test/distributions/test_distributions.py::TestDistributions::test_binomial_half, test/distributions/test_distributions.py::TestDistributions::test_binomial_log_prob_and_entropy, test/distributions/test_distributions.py::TestDistributions::test_binomial_log_prob_vectorized_count, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_stable, test/distributions/test_distributions.py::TestDistributions::test_binomial_vectorized_count, test/distributions/test_distributions.py::TestDistributions::test_categorical_1d, test/distributions/test_distributions.py::TestDistributions::test_categorical_2d, test/distributions/test_distributions.py::TestDistributions::test_categorical_enumerate_support, test/distributions/test_distributions.py::TestDistributions::test_cauchy, test/distributions/test_distributions.py::TestDistributions::test_cdf_icdf_inverse, test/distributions/test_distributions.py::TestDistributions::test_cdf_log_prob, test/distributions/test_distributions.py::TestDistributions::test_chi2_sample, test/distributions/test_distributions.py::TestDistributions::test_chi2_shape, test/distributions/test_distributions.py::TestDistributions::test_continuous_bernoulli, test/distributions/test_distributions.py::TestDistributions::test_continuous_bernoulli_3d, test/distributions/test_distributions.py::TestDistributions::test_dirichlet_log_prob, test/distributions/test_distributions.py::TestDistributions::test_dirichlet_log_prob_zero, test/distributions/test_distributions.py::TestDistributions::test_dirichlet_mode, test/distributions/test_distributions.py::TestDistributions::test_dirichlet_sample, test/distributions/test_distributions.py::TestDistributions::test_dirichlet_shape, test/distributions/test_distributions.py::TestDistributions::test_distribution_expand, test/distributions/test_distributions.py::TestDistributions::test_distribution_subclass_expand, test/distributions/test_distributions.py::TestDistributions::test_enumerate_support_type, test/distributions/test_distributions.py::TestDistributions::test_exponential, test/distributions/test_distributions.py::TestDistributions::test_exponential_sample, test/distributions/test_distributions.py::TestDistributions::test_fishersnedecor, test/distributions/test_distributions.py::TestDistributions::test_fishersnedecor_sample, test/distributions/test_distributions.py::TestDistributions::test_gamma_gpu_sample, test/distributions/test_distributions.py::TestDistributions::test_gamma_gpu_shape, test/distributions/test_distributions.py::TestDistributions::test_gamma_log_prob_at_boundary, test/distributions/test_distributions.py::TestDistributions::test_gamma_sample, test/distributions/test_distributions.py::TestDistributions::test_gamma_shape, test/distributions/test_distributions.py::TestDistributions::test_geometric, test/distributions/test_distributions.py::TestDistributions::test_geometric_log_prob_and_entropy, test/distributions/test_distributions.py::TestDistributions::test_geometric_sample, test/distributions/test_distributions.py::TestDistributions::test_gumbel, test/distributions/test_distributions.py::TestDistributions::test_gumbel_sample, test/distributions/test_distributions.py::TestDistributions::test_halfcauchy, test/distributions/test_distributions.py::TestDistributions::test_halfnormal, test/distributions/test_distributions.py::TestDistributions::test_halfnormal_logprob, test/distributions/test_distributions.py::TestDistributions::test_halfnormal_sample, test/distributions/test_distributions.py::TestDistributions::test_has_examples, test/distributions/test_distributions.py::TestDistributions::test_independent_expand, test/distributions/test_distributions.py::TestDistributions::test_independent_shape, test/distributions/test_distributions.py::TestDistributions::test_invalid_parameter_broadcasting, test/distributions/test_distributions.py::TestDistributions::test_inversegamma, test/distributions/test_distributions.py::TestDistributions::test_inversegamma_sample, test/distributions/test_distributions.py::TestDistributions::test_kumaraswamy_mean_variance, test/distributions/test_distributions.py::TestDistributions::test_kumaraswamy_shape, test/distributions/test_distributions.py::TestDistributions::test_laplace, test/distributions/test_distributions.py::TestDistributions::test_laplace_sample, test/distributions/test_distributions.py::TestDistributions::test_lazy_property_grad, test/distributions/test_distributions.py::TestDistributions::test_lkj_cholesky_log_prob, test/distributions/test_distributions.py::TestDistributions::test_logisticnormal, test/distributions/test_distributions.py::TestDistributions::test_logisticnormal_logprob, test/distributions/test_distributions.py::TestDistributions::test_logisticnormal_sample, test/distributions/test_distributions.py::TestDistributions::test_lognormal, test/distributions/test_distributions.py::TestDistributions::test_lognormal_logprob, test/distributions/test_distributions.py::TestDistributions::test_lognormal_sample, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_log_prob, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_moments, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_properties, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_sample, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_shape, test/distributions/test_distributions.py::TestDistributions::test_mixture_same_family_log_prob, test/distributions/test_distributions.py::TestDistributions::test_mixture_same_family_sample, test/distributions/test_distributions.py::TestDistributions::test_mixture_same_family_shape, test/distributions/test_distributions.py::TestDistributions::test_mode, test/distributions/test_distributions.py::TestDistributions::test_multinomial_1d, test/distributions/test_distributions.py::TestDistributions::test_multinomial_1d_log_prob_and_entropy, test/distributions/test_distributions.py::TestDistributions::test_multinomial_2d, test/distributions/test_distributions.py::TestDistributions::test_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
2025-03-14T04:34:16.7374457Z 
2025-03-14T04:34:16.7374695Z Running test_autoload_disable 1/1 ... [2025-03-14 04:34:16.719384]
2025-03-14T04:34:19.3832515Z running install
2025-03-14T04:34:19.3833844Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/setuptools/_distutils/cmd.py:79: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-03-14T04:34:19.3834673Z !!
2025-03-14T04:34:19.3834810Z 
2025-03-14T04:34:19.3834944Z         ********************************************************************************
2025-03-14T04:34:19.3835408Z         Please avoid running ``setup.py`` directly.
2025-03-14T04:34:19.3835870Z         Instead, use pypa/build, pypa/installer or other
2025-03-14T04:34:19.3836281Z         standards-based tools.
2025-03-14T04:34:19.3836479Z 
2025-03-14T04:34:19.3836802Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-03-14T04:34:19.3837359Z         ********************************************************************************
2025-03-14T04:34:19.3837610Z 
2025-03-14T04:34:19.3837712Z !!
2025-03-14T04:34:19.3837964Z   self.initialize_options()
2025-03-14T04:34:19.3973821Z running build
2025-03-14T04:34:19.3974126Z running build_py
2025-03-14T04:34:19.4063366Z creating build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension
2025-03-14T04:34:19.4065332Z copying torch_test_cpp_extension/__init__.py -> build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension
2025-03-14T04:34:19.4069434Z running build_ext
2025-03-14T04:34:19.4913056Z building 'torch_test_cpp_extension.cpp' extension
2025-03-14T04:34:19.4914109Z creating build/temp.linux-x86_64-cpython-313
2025-03-14T04:34:19.4919300Z g++ -pthread -B /opt/conda/envs/py_3.13/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.13/include/python3.13 -c extension.cpp -o build/temp.linux-x86_64-cpython-313/extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=cpp -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++17
2025-03-14T04:34:20.6392779Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/Exceptions.h:12,
2025-03-14T04:34:20.6393827Z                  from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/python.h:11,
2025-03-14T04:34:20.6394920Z                  from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:9,
2025-03-14T04:34:20.6395580Z                  from extension.cpp:1:
2025-03-14T04:34:20.6398538Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘class pybind11::class_<MatrixMultiplier>’:
2025-03-14T04:34:20.6399618Z extension.cpp:45:53:   required from here
2025-03-14T04:34:20.6401369Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/pybind11/pybind11.h:1539:7: warning: ‘pybind11::class_<MatrixMultiplier>’ declared with greater visibility than its base ‘pybind11::detail::generic_type’ [-Wattributes]
2025-03-14T04:34:20.6402749Z  1539 | class class_ : public detail::generic_type {
2025-03-14T04:34:20.6403126Z       |       ^~~~~~
2025-03-14T04:34:20.6404795Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘pybind11::class_< <template-parameter-1-1>, <template-parameter-1-2> >::class_(pybind11::handle, const char*, const Extra& ...) [with Extra = {}; type_ = MatrixMultiplier; options = {}]’:
2025-03-14T04:34:20.6406316Z extension.cpp:45:53:   required from here
2025-03-14T04:34:20.6409650Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/pybind11/pybind11.h:1599:28: warning: ‘pybind11::class_< <template-parameter-1-1>, <template-parameter-1-2> >::class_(pybind11::handle, const char*, const Extra& ...) [with Extra = {}; type_ = MatrixMultiplier; options = {}]::<lambda(pybind11::detail::internals&)>’ declared with greater visibility than the type of its field ‘pybind11::class_< <template-parameter-1-1>, <template-parameter-1-2> >::class_(pybind11::handle, const char*, const Extra& ...) [with Extra = {}; type_ = MatrixMultiplier; options = {}]::<lambda(pybind11::detail::internals&)>::<record capture>’ [-Wattributes]
2025-03-14T04:34:20.6412424Z  1599 |             with_internals([&](internals &internals) {
2025-03-14T04:34:20.6412843Z       |                            ^~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-03-14T04:34:20.6413382Z  1600 |                 auto &instances = record.module_local ? get_local_internals().registered_types_cpp
2025-03-14T04:34:20.6413984Z       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-03-14T04:34:20.6414462Z  1601 |                                                       : internals.registered_types_cpp;
2025-03-14T04:34:20.6414893Z       |                                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-03-14T04:34:20.6415334Z  1602 |                 instances[std::type_index(typeid(type_alias))]
2025-03-14T04:34:20.6415763Z       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-03-14T04:34:20.6416183Z  1603 |                     = instances[std::type_index(typeid(type))];
2025-03-14T04:34:20.6416602Z       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-03-14T04:34:20.6416956Z  1604 |             });
2025-03-14T04:34:20.6417224Z       |             ~               
2025-03-14T04:34:20.6420516Z g++ -pthread -B /opt/conda/envs/py_3.13/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -pthread -B /opt/conda/envs/py_3.13/compiler_compat -shared -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib build/temp.linux-x86_64-cpython-313/extension.o -L/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/cpp.cpython-313-x86_64-linux-gnu.so
2025-03-14T04:34:21.0580148Z building 'torch_test_cpp_extension.maia' extension
2025-03-14T04:34:21.0585194Z g++ -pthread -B /opt/conda/envs/py_3.13/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.13/include/python3.13 -c maia_extension.cpp -o build/temp.linux-x86_64-cpython-313/maia_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=maia -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++17
2025-03-14T04:34:22.0861675Z g++ -pthread -B /opt/conda/envs/py_3.13/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -pthread -B /opt/conda/envs/py_3.13/compiler_compat -shared -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib build/temp.linux-x86_64-cpython-313/maia_extension.o -L/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/maia.cpython-313-x86_64-linux-gnu.so
2025-03-14T04:34:22.4796463Z building 'torch_test_cpp_extension.rng' extension
2025-03-14T04:34:22.4801233Z g++ -pthread -B /opt/conda/envs/py_3.13/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.13/include/python3.13 -c rng_extension.cpp -o build/temp.linux-x86_64-cpython-313/rng_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=rng -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++17
2025-03-14T04:34:23.7243211Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8,
2025-03-14T04:34:23.7244220Z                  from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec.h:7,
2025-03-14T04:34:23.7245106Z                  from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/Loops.h:37,
2025-03-14T04:34:23.7246162Z                  from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9,
2025-03-14T04:34:23.7246914Z                  from rng_extension.cpp:6:
2025-03-14T04:34:23.7248124Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1158: warning: ignoring #pragma unroll  [-Wunknown-pragmas]
2025-03-14T04:34:23.7249337Z  1158 | # pragma unroll
2025-03-14T04:34:23.7249737Z       | 
2025-03-14T04:34:23.7250779Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1198,
2025-03-14T04:34:23.7252202Z                  from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8,
2025-03-14T04:34:23.7253493Z                  from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec.h:7,
2025-03-14T04:34:23.7254336Z                  from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/Loops.h:37,
2025-03-14T04:34:23.7255435Z                  from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9,
2025-03-14T04:34:23.7256364Z                  from rng_extension.cpp:6:
2025-03-14T04:34:23.7257191Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_n.h:59: warning: ignoring #pragma unroll  [-Wunknown-pragmas]
2025-03-14T04:34:23.7258002Z    59 | #pragma unroll
2025-03-14T04:34:23.7258255Z       | 
2025-03-14T04:34:23.7259069Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_n.h:72: warning: ignoring #pragma unroll  [-Wunknown-pragmas]
2025-03-14T04:34:23.7259870Z    72 | #pragma unroll
2025-03-14T04:34:23.7260135Z       | 
2025-03-14T04:34:23.7260843Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_n.h:87: warning: ignoring #pragma unroll  [-Wunknown-pragmas]
2025-03-14T04:34:23.7261642Z    87 | #pragma unroll
2025-03-14T04:34:23.7261908Z       | 
2025-03-14T04:34:23.7262476Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1199,
2025-03-14T04:34:23.7263424Z                  from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8,
2025-03-14T04:34:23.7264322Z                  from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec.h:7,
2025-03-14T04:34:23.7265145Z                  from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/Loops.h:37,
2025-03-14T04:34:23.7266088Z                  from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9,
2025-03-14T04:34:23.7266793Z                  from rng_extension.cpp:6:
2025-03-14T04:34:23.7267856Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_mask.h:153: warning: ignoring #pragma unroll  [-Wunknown-pragmas]
2025-03-14T04:34:23.7268687Z   153 | #pragma unroll
2025-03-14T04:34:23.7268956Z       | 
2025-03-14T04:34:23.7272188Z g++ -pthread -B /opt/conda/envs/py_3.13/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -pthread -B /opt/conda/envs/py_3.13/compiler_compat -shared -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib build/temp.linux-x86_64-cpython-313/rng_extension.o -L/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/rng.cpython-313-x86_64-linux-gnu.so
2025-03-14T04:34:24.1355899Z running install_lib
2025-03-14T04:34:24.1436774Z copying build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/cpp.cpython-313-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension
2025-03-14T04:34:24.1532411Z copying build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/maia.cpython-313-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension
2025-03-14T04:34:24.1621448Z copying build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/rng.cpython-313-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension
2025-03-14T04:34:24.1719335Z running install_egg_info
2025-03-14T04:34:24.1948930Z running egg_info
2025-03-14T04:34:24.2017976Z writing torch_test_cpp_extension.egg-info/PKG-INFO
2025-03-14T04:34:24.2021281Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt
2025-03-14T04:34:24.2023228Z writing entry points to torch_test_cpp_extension.egg-info/entry_points.txt
2025-03-14T04:34:24.2025388Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt
2025-03-14T04:34:24.2101672Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-03-14T04:34:24.2115989Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-03-14T04:34:24.2117571Z removing './install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension-0.0.0-py3.13.egg-info' (and everything under it)
2025-03-14T04:34:24.2125881Z Copying torch_test_cpp_extension.egg-info to ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension-0.0.0-py3.13.egg-info
2025-03-14T04:34:24.2131398Z running install_scripts
2025-03-14T04:34:27.5624014Z 
2025-03-14T04:34:27.5624488Z Running tests...
2025-03-14T04:34:27.5624887Z ----------------------------------------------------------------------
2025-03-14T04:34:27.5765716Z .
2025-03-14T04:34:27.5766319Z ----------------------------------------------------------------------
2025-03-14T04:34:27.5766729Z Ran 1 test in 0.014s
2025-03-14T04:34:27.5767057Z 
2025-03-14T04:34:27.5767165Z OK
2025-03-14T04:34:27.5767288Z 
2025-03-14T04:34:27.5767420Z Generating XML reports...
2025-03-14T04:34:28.2926594Z Running doctests 1/1 ... [2025-03-14 04:34:28.292311]
2025-03-14T04:34:28.4017603Z Start doctest_module('/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch')
2025-03-14T04:34:28.4018594Z Listing tests
2025-03-14T04:34:28.6165144Z msg = Cannot scrape callname=Tensor.dim_order in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py line=1507.
2025-03-14T04:34:28.6166814Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:28.6167489Z 
2025-03-14T04:34:28.6167643Z dim_order(ambiguity_check=False) -> tuple
2025-03-14T04:34:28.6167932Z 
2025-03-14T04:34:28.6168196Z Returns the uniquely determined tuple of int describing the dim order or
2025-03-14T04:34:28.6168680Z physical layout of :attr:`self`.
2025-03-14T04:34:28.6168906Z 
2025-03-14T04:34:28.6169180Z The dim order represents how dimensions are laid out in memory of dense tensors,
2025-03-14T04:34:28.6169762Z starting from the outermost to the innermost dimension.
2025-03-14T04:34:28.6170066Z 
2025-03-14T04:34:28.6170263Z Note that the dim order may not always be uniquely determined.
2025-03-14T04:34:28.6171012Z If `ambiguity_check` is True, this function raises a RuntimeError when the dim order cannot be uniquely determined;
2025-03-14T04:34:28.6171958Z If `ambiguity_check` is a list of memory formats, this function raises a RuntimeError when tensor can not be interpreted
2025-03-14T04:34:28.6172763Z into exactly one of the given memory formats, or it cannot be uniquely determined.
2025-03-14T04:34:28.6173500Z If `ambiguity_check` is False, it will return one of legal dim order(s) without checking its uniqueness.
2025-03-14T04:34:28.6174088Z Otherwise, it will raise TypeError.
2025-03-14T04:34:28.6174323Z 
2025-03-14T04:34:28.6174415Z Args:
2025-03-14T04:34:28.6174883Z     ambiguity_check (bool or List[torch.memory_format]): The check method for ambiguity of dim order.
2025-03-14T04:34:28.6175348Z 
2025-03-14T04:34:28.6175478Z Examples::
2025-03-14T04:34:28.6175625Z 
2025-03-14T04:34:28.6175746Z     >>> torch.empty((2, 3, 5, 7)).dim_order()
2025-03-14T04:34:28.6176089Z     (0, 1, 2, 3)
2025-03-14T04:34:28.6176431Z     >>> torch.empty((2, 3, 5, 7)).transpose(1, 2).dim_order()
2025-03-14T04:34:28.6176818Z     (0, 2, 1, 3)
2025-03-14T04:34:28.6177188Z     >>> torch.empty((2, 3, 5, 7), memory_format=torch.channels_last).dim_order()
2025-03-14T04:34:28.6177626Z     (0, 2, 3, 1)
2025-03-14T04:34:28.6177887Z     >>> torch.empty((1, 2, 3, 4)).dim_order()
2025-03-14T04:34:28.6178227Z     (0, 1, 2, 3)
2025-03-14T04:34:28.6178475Z     >>> try:
2025-03-14T04:34:28.6178806Z     ...     torch.empty((1, 2, 3, 4)).dim_order(ambiguity_check=True)
2025-03-14T04:34:28.6179234Z     ... except RuntimeError as e:
2025-03-14T04:34:28.6179552Z     ...     print(e)
2025-03-14T04:34:28.6180047Z     The tensor does not have unique dim order, or cannot map to exact one of the given memory formats.
2025-03-14T04:34:28.6180981Z     >>> torch.empty((1, 2, 3, 4)).dim_order(
2025-03-14T04:34:28.6181809Z     ...     ambiguity_check=[torch.contiguous_format, torch.channels_last]
2025-03-14T04:34:28.6182981Z     ... )  # It can be mapped to contiguous format
2025-03-14T04:34:28.6183609Z     (0, 1, 2, 3)
2025-03-14T04:34:28.6184033Z     >>> try:
2025-03-14T04:34:28.6184620Z     ...     torch.empty((1, 2, 3, 4)).dim_order(ambiguity_check="ILLEGAL")
2025-03-14T04:34:28.6185414Z     ... except TypeError as e:
2025-03-14T04:34:28.6185928Z     ...     print(e)
2025-03-14T04:34:28.6186844Z     The ambiguity_check argument must be a bool or a list of memory formats.
2025-03-14T04:34:28.6187505Z 
2025-03-14T04:34:28.6187694Z .. warning::
2025-03-14T04:34:28.6188293Z     The dim_order tensor API is experimental and subject to change.
2025-03-14T04:34:28.6188898Z 
2025-03-14T04:34:28.6189400Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:28.6190138Z 
2025-03-14T04:34:28.6791945Z msg = Cannot scrape callname=meshgrid in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py line=446.
2025-03-14T04:34:28.6793734Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:28.6795293Z Creates grids of coordinates specified by the 1D inputs in `attr`:tensors.
2025-03-14T04:34:28.6796003Z 
2025-03-14T04:34:28.6796339Z         This is helpful when you want to visualize data over some
2025-03-14T04:34:28.6797199Z         range of inputs. See below for a plotting example.
2025-03-14T04:34:28.6797715Z 
2025-03-14T04:34:28.6798049Z         Given :math:`N` 1D tensors :math:`T_0 \ldots T_{N-1}` as
2025-03-14T04:34:28.6798972Z         inputs with corresponding sizes :math:`S_0 \ldots S_{N-1}`,
2025-03-14T04:34:28.6799920Z         this creates :math:`N` N-dimensional tensors :math:`G_0 \ldots
2025-03-14T04:34:28.6800840Z         G_{N-1}`, each with shape :math:`(S_0, ..., S_{N-1})` where
2025-03-14T04:34:28.6801725Z         the output :math:`G_i` is constructed by expanding :math:`T_i`
2025-03-14T04:34:28.6802529Z         to the result shape.
2025-03-14T04:34:28.6802881Z 
2025-03-14T04:34:28.6803107Z         .. note::
2025-03-14T04:34:28.6803685Z             0D inputs are treated equivalently to 1D inputs of a
2025-03-14T04:34:28.6804404Z             single element.
2025-03-14T04:34:28.6804734Z 
2025-03-14T04:34:28.6804915Z         .. warning::
2025-03-14T04:34:28.6805553Z             `torch.meshgrid(*tensors)` currently has the same behavior
2025-03-14T04:34:28.6806473Z             as calling `numpy.meshgrid(*arrays, indexing='ij')`.
2025-03-14T04:34:28.6807036Z 
2025-03-14T04:34:28.6807324Z             In the future `torch.meshgrid` will transition to
2025-03-14T04:34:28.6808069Z             `indexing='xy'` as the default.
2025-03-14T04:34:28.6808516Z 
2025-03-14T04:34:28.6808876Z             https://github.com/pytorch/pytorch/issues/50276 tracks
2025-03-14T04:34:28.6809808Z             this issue with the goal of migrating to NumPy's behavior.
2025-03-14T04:34:28.6810416Z 
2025-03-14T04:34:28.6810595Z         .. seealso::
2025-03-14T04:34:28.6810891Z 
2025-03-14T04:34:28.6811219Z             :func:`torch.cartesian_prod` has the same effect but it
2025-03-14T04:34:28.6812029Z             collects the data in a tensor of vectors.
2025-03-14T04:34:28.6812517Z 
2025-03-14T04:34:28.6812678Z         Args:
2025-03-14T04:34:28.6813426Z             tensors (list of Tensor): list of scalars or 1 dimensional tensors. Scalars will be
2025-03-14T04:34:28.6814523Z                 treated as tensors of size :math:`(1,)` automatically
2025-03-14T04:34:28.6815098Z 
2025-03-14T04:34:28.6815456Z             indexing: (str, optional): the indexing mode, either "xy"
2025-03-14T04:34:28.6816342Z                 or "ij", defaults to "ij". See warning for future changes.
2025-03-14T04:34:28.6816866Z 
2025-03-14T04:34:28.6817131Z                 If "xy" is selected, the first dimension corresponds
2025-03-14T04:34:28.6817974Z                 to the cardinality of the second input and the second
2025-03-14T04:34:28.6818808Z                 dimension corresponds to the cardinality of the first
2025-03-14T04:34:28.6819734Z                 input.
2025-03-14T04:34:28.6820059Z 
2025-03-14T04:34:28.6820350Z                 If "ij" is selected, the dimensions are in the same
2025-03-14T04:34:28.6821112Z                 order as the cardinality of the inputs.
2025-03-14T04:34:28.6821584Z 
2025-03-14T04:34:28.6821760Z         Returns:
2025-03-14T04:34:28.6822338Z             seq (sequence of Tensors): If the input has :math:`N`
2025-03-14T04:34:28.6823260Z             tensors of size :math:`S_0 \ldots S_{N-1}``, then the
2025-03-14T04:34:28.6824025Z             output will also have :math:`N` tensors, where each tensor
2025-03-14T04:34:28.6824761Z             is of shape :math:`(S_0, ..., S_{N-1})`.
2025-03-14T04:34:28.6825224Z 
2025-03-14T04:34:28.6825423Z         Example::
2025-03-14T04:34:28.6825685Z 
2025-03-14T04:34:28.6825919Z             >>> x = torch.tensor([1, 2, 3])
2025-03-14T04:34:28.6826564Z             >>> y = torch.tensor([4, 5, 6])
2025-03-14T04:34:28.6826975Z 
2025-03-14T04:34:28.6827359Z             Observe the element-wise pairings across the grid, (1, 4),
2025-03-14T04:34:28.6828267Z             (1, 5), ..., (3, 6). This is the same thing as the
2025-03-14T04:34:28.6828956Z             cartesian product.
2025-03-14T04:34:28.6829599Z             >>> grid_x, grid_y = torch.meshgrid(x, y, indexing='ij')
2025-03-14T04:34:28.6830255Z             >>> grid_x
2025-03-14T04:34:28.6830709Z             tensor([[1, 1, 1],
2025-03-14T04:34:28.6831222Z                     [2, 2, 2],
2025-03-14T04:34:28.6831747Z                     [3, 3, 3]])
2025-03-14T04:34:28.6832256Z             >>> grid_y
2025-03-14T04:34:28.6832719Z             tensor([[4, 5, 6],
2025-03-14T04:34:28.6833212Z                     [4, 5, 6],
2025-03-14T04:34:28.6833661Z                     [4, 5, 6]])
2025-03-14T04:34:28.6833995Z 
2025-03-14T04:34:28.6834295Z             This correspondence can be seen when these grids are
2025-03-14T04:34:28.6835021Z             stacked properly.
2025-03-14T04:34:28.6835826Z             >>> torch.equal(torch.cat(tuple(torch.dstack([grid_x, grid_y]))),
2025-03-14T04:34:28.6836687Z             ...             torch.cartesian_prod(x, y))
2025-03-14T04:34:28.6837319Z             True
2025-03-14T04:34:28.6837573Z 
2025-03-14T04:34:28.6837915Z             `torch.meshgrid` is commonly used to produce a grid for
2025-03-14T04:34:28.6838647Z             plotting.
2025-03-14T04:34:28.6839183Z             >>> # xdoctest: +REQUIRES(module:matplotlib)
2025-03-14T04:34:28.6839898Z             >>> # xdoctest: +REQUIRES(env:DOCTEST_SHOW)
2025-03-14T04:34:28.6840591Z             >>> import matplotlib.pyplot as plt
2025-03-14T04:34:28.6841296Z             >>> xs = torch.linspace(-5, 5, steps=100)
2025-03-14T04:34:28.6842066Z             >>> ys = torch.linspace(-5, 5, steps=100)
2025-03-14T04:34:28.6842784Z             >>> x, y = torch.meshgrid(xs, ys, indexing='xy')
2025-03-14T04:34:28.6843500Z             >>> z = torch.sin(torch.sqrt(x * x + y * y))
2025-03-14T04:34:28.6844175Z             >>> ax = plt.axes(projection='3d')
2025-03-14T04:34:28.6844914Z             >>> ax.plot_surface(x.numpy(), y.numpy(), z.numpy())
2025-03-14T04:34:28.6845549Z             >>> plt.show()
2025-03-14T04:34:28.6845866Z 
2025-03-14T04:34:28.6846109Z         .. image:: ../_static/img/meshgrid.png
2025-03-14T04:34:28.6846730Z             :width: 512
2025-03-14T04:34:28.6847030Z 
2025-03-14T04:34:28.6847205Z         
2025-03-14T04:34:28.6847928Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:28.6848674Z 
2025-03-14T04:34:28.6849635Z msg = Cannot scrape callname=_unique_impl in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py line=842.
2025-03-14T04:34:28.6851299Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:28.6852775Z unique(input, sorted=True, return_inverse=False, return_counts=False, dim=None) -> tuple[Tensor, Tensor, Tensor]
2025-03-14T04:34:28.6853750Z 
2025-03-14T04:34:28.6854054Z     Returns the unique elements of the input tensor.
2025-03-14T04:34:28.6854670Z 
2025-03-14T04:34:28.6855255Z     .. note:: This function is different from :func:`torch.unique_consecutive` in the sense that
2025-03-14T04:34:28.6856411Z         this function also eliminates non-consecutive duplicate values.
2025-03-14T04:34:28.6857043Z 
2025-03-14T04:34:28.6857495Z     .. note:: Currently in the CUDA implementation and the CPU implementation,
2025-03-14T04:34:28.6858858Z         `torch.unique` always sort the tensor at the beginning regardless of the `sort` argument.
2025-03-14T04:34:28.6860204Z         Sorting could be slow, so if your input tensor is already sorted, it is recommended to use
2025-03-14T04:34:28.6861336Z         :func:`torch.unique_consecutive` which avoids the sorting.
2025-03-14T04:34:28.6861901Z 
2025-03-14T04:34:28.6862075Z     Args:
2025-03-14T04:34:28.6862511Z         input (Tensor): the input tensor
2025-03-14T04:34:28.6863291Z         sorted (bool): Whether to sort the unique elements in ascending order
2025-03-14T04:34:28.6864123Z             before returning as output.
2025-03-14T04:34:28.6865043Z         return_inverse (bool): Whether to also return the indices for where
2025-03-14T04:34:28.6866098Z             elements in the original input ended up in the returned unique list.
2025-03-14T04:34:28.6867350Z         return_counts (bool): Whether to also return the counts for each unique
2025-03-14T04:34:28.6868180Z             element.
2025-03-14T04:34:28.6868866Z         dim (int, optional): the dimension to operate upon. If ``None``, the
2025-03-14T04:34:28.6869880Z             unique of the flattened input is returned. Otherwise, each of the
2025-03-14T04:34:28.6870900Z             tensors indexed by the given dimension is treated as one of the
2025-03-14T04:34:28.6871930Z             elements to apply the unique operation upon. See examples for more
2025-03-14T04:34:28.6872790Z             details. Default: ``None``
2025-03-14T04:34:28.6873205Z 
2025-03-14T04:34:28.6873360Z     Returns:
2025-03-14T04:34:28.6874166Z         (Tensor, Tensor (optional), Tensor (optional)): A tensor or a tuple of tensors containing
2025-03-14T04:34:28.6874929Z 
2025-03-14T04:34:28.6875389Z             - **output** (*Tensor*): the output list of unique scalar elements.
2025-03-14T04:34:28.6876266Z             - **inverse_indices** (*Tensor*): (optional) if
2025-03-14T04:34:28.6877111Z               :attr:`return_inverse` is True, there will be an additional
2025-03-14T04:34:28.6878103Z               returned tensor (same shape as input) representing the indices
2025-03-14T04:34:28.6879135Z               for where elements in the original input map to in the output;
2025-03-14T04:34:28.6880078Z               otherwise, this function will only return a single tensor.
2025-03-14T04:34:28.6880886Z             - **counts** (*Tensor*): (optional) if
2025-03-14T04:34:28.6881688Z               :attr:`return_counts` is True, there will be an additional
2025-03-14T04:34:28.6882613Z               returned tensor (same shape as output or output.size(dim),
2025-03-14T04:34:28.6883591Z               if dim was specified) representing the number of occurrences
2025-03-14T04:34:28.6884407Z               for each unique value or tensor.
2025-03-14T04:34:28.6884856Z 
2025-03-14T04:34:28.6885060Z     Example::
2025-03-14T04:34:28.6885308Z 
2025-03-14T04:34:28.6885741Z         >>> output = torch.unique(torch.tensor([1, 3, 2, 3], dtype=torch.long))
2025-03-14T04:34:28.6886574Z         >>> output
2025-03-14T04:34:28.6887019Z         tensor([1, 2, 3])
2025-03-14T04:34:28.6887345Z 
2025-03-14T04:34:28.6887582Z         >>> output, inverse_indices = torch.unique(
2025-03-14T04:34:28.6888499Z         ...     torch.tensor([1, 3, 2, 3], dtype=torch.long), sorted=True, return_inverse=True)
2025-03-14T04:34:28.6889308Z         >>> output
2025-03-14T04:34:28.6889742Z         tensor([1, 2, 3])
2025-03-14T04:34:28.6890248Z         >>> inverse_indices
2025-03-14T04:34:28.6890767Z         tensor([0, 2, 1, 2])
2025-03-14T04:34:28.6891126Z 
2025-03-14T04:34:28.6891356Z         >>> output, inverse_indices = torch.unique(
2025-03-14T04:34:28.6892384Z         ...     torch.tensor([[1, 3], [2, 3]], dtype=torch.long), sorted=True, return_inverse=True)
2025-03-14T04:34:28.6893250Z         >>> output
2025-03-14T04:34:28.6893686Z         tensor([1, 2, 3])
2025-03-14T04:34:28.6894178Z         >>> inverse_indices
2025-03-14T04:34:28.6894677Z         tensor([[0, 2],
2025-03-14T04:34:28.6895141Z                 [1, 2]])
2025-03-14T04:34:28.6895443Z 
2025-03-14T04:34:28.6895839Z         >>> a = torch.tensor([
2025-03-14T04:34:28.6896351Z         ...     [
2025-03-14T04:34:28.6896775Z         ...         [1, 1, 0, 0],
2025-03-14T04:34:28.6897303Z         ...         [1, 1, 0, 0],
2025-03-14T04:34:28.6897819Z         ...         [0, 0, 1, 1],
2025-03-14T04:34:28.6898316Z         ...     ],
2025-03-14T04:34:28.6898738Z         ...     [
2025-03-14T04:34:28.6899140Z         ...         [0, 0, 1, 1],
2025-03-14T04:34:28.6899639Z         ...         [0, 0, 1, 1],
2025-03-14T04:34:28.6900146Z         ...         [1, 1, 1, 1],
2025-03-14T04:34:28.6900801Z         ...     ],
2025-03-14T04:34:28.6901230Z         ...     [
2025-03-14T04:34:28.6901657Z         ...         [1, 1, 0, 0],
2025-03-14T04:34:28.6902159Z         ...         [1, 1, 0, 0],
2025-03-14T04:34:28.6902660Z         ...         [0, 0, 1, 1],
2025-03-14T04:34:28.6903170Z         ...     ],
2025-03-14T04:34:28.6903582Z         ... ])
2025-03-14T04:34:28.6903831Z 
2025-03-14T04:34:28.6904274Z         >>> # If we call `torch.unique(a, dim=0)`, each of the tensors `a[idx, :, :]`
2025-03-14T04:34:28.6905313Z         >>> # will be compared. We can see that `a[0, :, :]` and `a[2, :, :]` match
2025-03-14T04:34:28.6906198Z         >>> # each other, so one of them will be removed.
2025-03-14T04:34:28.6906863Z         >>> (a[0, :, :] == a[2, :, :]).all()
2025-03-14T04:34:28.6907443Z         tensor(True)
2025-03-14T04:34:28.6907970Z         >>> a_unique_dim0 = torch.unique(a, dim=0)
2025-03-14T04:34:28.6908582Z         >>> a_unique_dim0
2025-03-14T04:34:28.6909082Z         tensor([[[0, 0, 1, 1],
2025-03-14T04:34:28.6909604Z                  [0, 0, 1, 1],
2025-03-14T04:34:28.6910119Z                  [1, 1, 1, 1]],
2025-03-14T04:34:28.6910584Z                 [[1, 1, 0, 0],
2025-03-14T04:34:28.6911067Z                  [1, 1, 0, 0],
2025-03-14T04:34:28.6911558Z                  [0, 0, 1, 1]]])
2025-03-14T04:34:28.6911920Z 
2025-03-14T04:34:28.6912335Z         >>> # Notice which sub-tensors from `a` match with the sub-tensors from
2025-03-14T04:34:28.6913186Z         >>> # `a_unique_dim0`:
2025-03-14T04:34:28.6913747Z         >>> (a_unique_dim0[0, :, :] == a[1, :, :]).all()
2025-03-14T04:34:28.6914353Z         tensor(True)
2025-03-14T04:34:28.6914864Z         >>> (a_unique_dim0[1, :, :] == a[0, :, :]).all()
2025-03-14T04:34:28.6915581Z         tensor(True)
2025-03-14T04:34:28.6915867Z 
2025-03-14T04:34:28.6916256Z         >>> # For `torch.unique(a, dim=1)`, each of the tensors `a[:, idx, :]` are
2025-03-14T04:34:28.6917236Z         >>> # compared. `a[:, 0, :]` and `a[:, 1, :]` match each other, so one of
2025-03-14T04:34:28.6918018Z         >>> # them will be removed.
2025-03-14T04:34:28.6918595Z         >>> (a[:, 0, :] == a[:, 1, :]).all()
2025-03-14T04:34:28.6919164Z         tensor(True)
2025-03-14T04:34:28.6919648Z         >>> torch.unique(a, dim=1)
2025-03-14T04:34:28.6920191Z         tensor([[[0, 0, 1, 1],
2025-03-14T04:34:28.6920706Z                  [1, 1, 0, 0]],
2025-03-14T04:34:28.6921214Z                 [[1, 1, 1, 1],
2025-03-14T04:34:28.6921723Z                  [0, 0, 1, 1]],
2025-03-14T04:34:28.6922219Z                 [[0, 0, 1, 1],
2025-03-14T04:34:28.6922728Z                  [1, 1, 0, 0]]])
2025-03-14T04:34:28.6923038Z 
2025-03-14T04:34:28.6923421Z         >>> # For `torch.unique(a, dim=2)`, the tensors `a[:, :, idx]` are compared.
2025-03-14T04:34:28.6924350Z         >>> # `a[:, :, 0]` and `a[:, :, 1]` match each other. Also, `a[:, :, 2]` and
2025-03-14T04:34:28.6925220Z         >>> # `a[:, :, 3]` match each other as well. So in this case, two of the
2025-03-14T04:34:28.6926110Z         >>> # sub-tensors will be removed.
2025-03-14T04:34:28.6926732Z         >>> (a[:, :, 0] == a[:, :, 1]).all()
2025-03-14T04:34:28.6927278Z         tensor(True)
2025-03-14T04:34:28.6927739Z         >>> (a[:, :, 2] == a[:, :, 3]).all()
2025-03-14T04:34:28.6928299Z         tensor(True)
2025-03-14T04:34:28.6928778Z         >>> torch.unique(a, dim=2)
2025-03-14T04:34:28.6929331Z         tensor([[[0, 1],
2025-03-14T04:34:28.6929811Z                  [0, 1],
2025-03-14T04:34:28.6930384Z                  [1, 0]],
2025-03-14T04:34:28.6930860Z                 [[1, 0],
2025-03-14T04:34:28.6931325Z                  [1, 0],
2025-03-14T04:34:28.6931799Z                  [1, 1]],
2025-03-14T04:34:28.6932271Z                 [[0, 1],
2025-03-14T04:34:28.6932743Z                  [0, 1],
2025-03-14T04:34:28.6933202Z                  [1, 0]]])
2025-03-14T04:34:28.6933635Z     
2025-03-14T04:34:28.6934342Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:28.6935052Z 
2025-03-14T04:34:28.7047521Z msg = Cannot scrape callname=load in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py line=560.
2025-03-14T04:34:28.7049134Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:28.7049861Z 
2025-03-14T04:34:28.7050134Z Load a model from a github repo or a local directory.
2025-03-14T04:34:28.7050633Z 
2025-03-14T04:34:28.7051100Z Note: Loading a model is the typical use case, but this can also be used to
2025-03-14T04:34:28.7052181Z for loading other objects such as tokenizers, loss functions, etc.
2025-03-14T04:34:28.7052820Z 
2025-03-14T04:34:28.7053133Z If ``source`` is 'github', ``repo_or_dir`` is expected to be
2025-03-14T04:34:28.7053962Z of the form ``repo_owner/repo_name[:ref]`` with an optional
2025-03-14T04:34:28.7054685Z ref (a tag or a branch).
2025-03-14T04:34:28.7055018Z 
2025-03-14T04:34:28.7055329Z If ``source`` is 'local', ``repo_or_dir`` is expected to be a
2025-03-14T04:34:28.7056007Z path to a local directory.
2025-03-14T04:34:28.7056387Z 
2025-03-14T04:34:28.7056548Z Args:
2025-03-14T04:34:28.7057023Z     repo_or_dir (str): If ``source`` is 'github',
2025-03-14T04:34:28.7058068Z         this should correspond to a github repo with format ``repo_owner/repo_name[:ref]`` with
2025-03-14T04:34:28.7059451Z         an optional ref (tag or branch), for example 'pytorch/vision:0.10'. If ``ref`` is not specified,
2025-03-14T04:34:28.7060732Z         the default branch is assumed to be ``main`` if it exists, and otherwise ``master``.
2025-03-14T04:34:28.7061851Z         If ``source`` is 'local'  then it should be a path to a local directory.
2025-03-14T04:34:28.7062802Z     model (str): the name of a callable (entrypoint) defined in the
2025-03-14T04:34:28.7063541Z         repo/dir's ``hubconf.py``.
2025-03-14T04:34:28.7064275Z     *args (optional): the corresponding args for callable ``model``.
2025-03-14T04:34:28.7065173Z     source (str, optional): 'github' or 'local'. Specifies how
2025-03-14T04:34:28.7066062Z         ``repo_or_dir`` is to be interpreted. Default is 'github'.
2025-03-14T04:34:28.7067185Z     trust_repo (bool, str or None): ``"check"``, ``True``, ``False`` or ``None``.
2025-03-14T04:34:28.7068208Z         This parameter was introduced in v1.12 and helps ensuring that users
2025-03-14T04:34:28.7069093Z         only run code from repos that they trust.
2025-03-14T04:34:28.7069551Z 
2025-03-14T04:34:28.7069934Z         - If ``False``, a prompt will ask the user whether the repo should
2025-03-14T04:34:28.7070699Z           be trusted.
2025-03-14T04:34:28.7071329Z         - If ``True``, the repo will be added to the trusted list and loaded
2025-03-14T04:34:28.7072175Z           without requiring explicit confirmation.
2025-03-14T04:34:28.7072974Z         - If ``"check"``, the repo will be checked against the list of
2025-03-14T04:34:28.7073932Z           trusted repos in the cache. If it is not present in that list, the
2025-03-14T04:34:28.7074942Z           behaviour will fall back onto the ``trust_repo=False`` option.
2025-03-14T04:34:28.7076175Z         - If ``None``: this will raise a warning, inviting the user to set
2025-03-14T04:34:28.7077097Z           ``trust_repo`` to either ``False``, ``True`` or ``"check"``. This
2025-03-14T04:34:28.7078071Z           is only present for backward compatibility and will be removed in
2025-03-14T04:34:28.7078871Z           v2.0.
2025-03-14T04:34:28.7079140Z 
2025-03-14T04:34:28.7079714Z         Default is ``None`` and will eventually change to ``"check"`` in v2.0.
2025-03-14T04:34:28.7080760Z     force_reload (bool, optional): whether to force a fresh download of
2025-03-14T04:34:28.7081767Z         the github repo unconditionally. Does not have any effect if
2025-03-14T04:34:28.7082601Z         ``source = 'local'``. Default is ``False``.
2025-03-14T04:34:28.7083444Z     verbose (bool, optional): If ``False``, mute messages about hitting
2025-03-14T04:34:28.7084468Z         local caches. Note that the message about first download cannot be
2025-03-14T04:34:28.7085396Z         muted. Does not have any effect if ``source = 'local'``.
2025-03-14T04:34:28.7086254Z         Default is ``True``.
2025-03-14T04:34:28.7087171Z     skip_validation (bool, optional): if ``False``, torchhub will check that the branch or commit
2025-03-14T04:34:28.7088533Z         specified by the ``github`` argument properly belongs to the repo owner. This will make
2025-03-14T04:34:28.7089867Z         requests to the GitHub API; you can specify a non-default GitHub token by setting the
2025-03-14T04:34:28.7090971Z         ``GITHUB_TOKEN`` environment variable. Default is ``False``.
2025-03-14T04:34:28.7091971Z     **kwargs (optional): the corresponding kwargs for callable ``model``.
2025-03-14T04:34:28.7092622Z 
2025-03-14T04:34:28.7114599Z Returns:
2025-03-14T04:34:28.7115401Z     The output of the ``model`` callable when called with the given
2025-03-14T04:34:28.7116198Z     ``*args`` and ``**kwargs``.
2025-03-14T04:34:28.7116565Z 
2025-03-14T04:34:28.7116725Z Example:
2025-03-14T04:34:28.7117222Z     >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB)
2025-03-14T04:34:28.7117910Z     >>> # from a github repo
2025-03-14T04:34:28.7118450Z     >>> repo = "pytorch/vision"
2025-03-14T04:34:28.7119005Z     >>> model = torch.hub.load(
2025-03-14T04:34:28.7119715Z     ...     repo, "resnet50", weights="ResNet50_Weights.IMAGENET1K_V1"
2025-03-14T04:34:28.7120465Z     ... )
2025-03-14T04:34:28.7120891Z     >>> # from a local directory
2025-03-14T04:34:28.7121516Z     >>> path = "/some/local/path/pytorch/vision"
2025-03-14T04:34:28.7122162Z     >>> # xdoctest: +SKIP
2025-03-14T04:34:28.7122954Z     >>> model = torch.hub.load(path, "resnet50", weights="ResNet50_Weights.DEFAULT")
2025-03-14T04:34:28.7123685Z 
2025-03-14T04:34:28.7124174Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:28.7124891Z 
2025-03-14T04:34:28.7125828Z msg = Cannot scrape callname=_load_local in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py line=652.
2025-03-14T04:34:28.7127436Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:28.7128176Z 
2025-03-14T04:34:28.7128507Z Load a model from a local directory with a ``hubconf.py``.
2025-03-14T04:34:28.7129040Z 
2025-03-14T04:34:28.7129207Z Args:
2025-03-14T04:34:28.7129766Z     hubconf_dir (str): path to a local directory that contains a
2025-03-14T04:34:28.7130560Z         ``hubconf.py``.
2025-03-14T04:34:28.7131177Z     model (str): name of an entrypoint defined in the directory's
2025-03-14T04:34:28.7131906Z         ``hubconf.py``.
2025-03-14T04:34:28.7132533Z     *args (optional): the corresponding args for callable ``model``.
2025-03-14T04:34:28.7133401Z     **kwargs (optional): the corresponding kwargs for callable ``model``.
2025-03-14T04:34:28.7133971Z 
2025-03-14T04:34:28.7134136Z Returns:
2025-03-14T04:34:28.7134659Z     a single model with corresponding pretrained weights.
2025-03-14T04:34:28.7135185Z 
2025-03-14T04:34:28.7135347Z Example:
2025-03-14T04:34:28.7135901Z     >>> # xdoctest: +SKIP("stub local path")
2025-03-14T04:34:28.7136552Z     >>> path = "/some/local/path/pytorch/vision"
2025-03-14T04:34:28.7137166Z     >>> model = _load_local(
2025-03-14T04:34:28.7137736Z     ...     path,
2025-03-14T04:34:28.7138147Z     ...     "resnet50",
2025-03-14T04:34:28.7138702Z     ...     weights="ResNet50_Weights.IMAGENET1K_V1",
2025-03-14T04:34:28.7139329Z     ... )
2025-03-14T04:34:28.7139555Z 
2025-03-14T04:34:28.7140636Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:28.7141353Z 
2025-03-14T04:34:28.7142320Z msg = Cannot scrape callname=download_url_to_file in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py line=691.
2025-03-14T04:34:28.7143931Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:28.7144941Z Download object at the given URL to a local path.
2025-03-14T04:34:28.7145440Z 
2025-03-14T04:34:28.7145616Z     Args:
2025-03-14T04:34:28.7146061Z         url (str): URL of the object to download
2025-03-14T04:34:28.7147033Z         dst (str): Full path where object will be saved, e.g. ``/tmp/temporary_file``
2025-03-14T04:34:28.7148339Z         hash_prefix (str, optional): If not None, the SHA256 downloaded file should start with ``hash_prefix``.
2025-03-14T04:34:28.7149400Z             Default: None
2025-03-14T04:34:28.7150207Z         progress (bool, optional): whether or not to display a progress bar to stderr
2025-03-14T04:34:28.7151112Z             Default: True
2025-03-14T04:34:28.7151429Z 
2025-03-14T04:34:28.7151604Z     Example:
2025-03-14T04:34:28.7152086Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB)
2025-03-14T04:34:28.7152758Z         >>> # xdoctest: +REQUIRES(POSIX)
2025-03-14T04:34:28.7153393Z         >>> torch.hub.download_url_to_file(
2025-03-14T04:34:28.7154241Z         ...     "https://s3.amazonaws.com/pytorch/models/resnet18-5c106cde.pth",
2025-03-14T04:34:28.7155184Z         ...     "/tmp/temporary_file",
2025-03-14T04:34:28.7155766Z         ... )
2025-03-14T04:34:28.7156020Z 
2025-03-14T04:34:28.7156174Z     
2025-03-14T04:34:28.7156870Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:28.7157587Z 
2025-03-14T04:34:28.7158481Z msg = Cannot scrape callname=load_state_dict_from_url in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py line=816.
2025-03-14T04:34:28.7160177Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:28.7161219Z Loads the Torch serialized object at the given URL.
2025-03-14T04:34:28.7161752Z 
2025-03-14T04:34:28.7162102Z     If downloaded file is a zip file, it will be automatically
2025-03-14T04:34:28.7162863Z     decompressed.
2025-03-14T04:34:28.7163158Z 
2025-03-14T04:34:28.7163575Z     If the object is already present in `model_dir`, it's deserialized and
2025-03-14T04:34:28.7164322Z     returned.
2025-03-14T04:34:28.7164944Z     The default value of ``model_dir`` is ``<hub_dir>/checkpoints`` where
2025-03-14T04:34:28.7165928Z     ``hub_dir`` is the directory returned by :func:`~torch.hub.get_dir`.
2025-03-14T04:34:28.7166515Z 
2025-03-14T04:34:28.7166695Z     Args:
2025-03-14T04:34:28.7167337Z         url (str): URL of the object to download
2025-03-14T04:34:28.7168150Z         model_dir (str, optional): directory in which to save the object
2025-03-14T04:34:28.7169454Z         map_location (optional): a function or a dict specifying how to remap storage locations (see torch.load)
2025-03-14T04:34:28.7170871Z         progress (bool, optional): whether or not to display a progress bar to stderr.
2025-03-14T04:34:28.7171765Z             Default: True
2025-03-14T04:34:28.7172693Z         check_hash(bool, optional): If True, the filename part of the URL should follow the naming convention
2025-03-14T04:34:28.7173934Z             ``filename-<sha256>.ext`` where ``<sha256>`` is the first eight or more
2025-03-14T04:34:28.7175035Z             digits of the SHA256 hash of the contents of the file. The hash is used to
2025-03-14T04:34:28.7176235Z             ensure unique names and to verify the contents of the file.
2025-03-14T04:34:28.7177023Z             Default: False
2025-03-14T04:34:28.7177933Z         file_name (str, optional): name for the downloaded file. Filename from ``url`` will be used if not set.
2025-03-14T04:34:28.7179454Z         weights_only(bool, optional): If True, only weights will be loaded and no complex pickled objects.
2025-03-14T04:34:28.7180949Z             Recommended for untrusted sources. See :func:`~torch.load` for more details.
2025-03-14T04:34:28.7181712Z 
2025-03-14T04:34:28.7181877Z     Example:
2025-03-14T04:34:28.7182379Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB)
2025-03-14T04:34:28.7183150Z         >>> state_dict = torch.hub.load_state_dict_from_url(
2025-03-14T04:34:28.7184065Z         ...     "https://s3.amazonaws.com/pytorch/models/resnet18-5c106cde.pth"
2025-03-14T04:34:28.7184850Z         ... )
2025-03-14T04:34:28.7185098Z 
2025-03-14T04:34:28.7185257Z     
2025-03-14T04:34:28.7186076Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:28.7186810Z 
2025-03-14T04:34:28.7192818Z msg = Cannot scrape callname=Library.fallback in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py line=376.
2025-03-14T04:34:28.7194553Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-03-14T04:34:28.7195779Z Registers the function implementation as the fallback for the given key.
2025-03-14T04:34:28.7196467Z 
2025-03-14T04:34:28.7196883Z         This function only works for a library with global namespace ("_").
2025-03-14T04:34:28.7197553Z 
2025-03-14T04:34:28.7197722Z         Args:
2025-03-14T04:34:28.7198506Z             fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel`
2025-03-14T04:34:28.7199513Z                 to register a fallthrough.
2025-03-14T04:34:28.7200575Z             dispatch_key: dispatch key that the input function should be registered for. By default, it uses
2025-03-14T04:34:28.7201727Z                           the dispatch key that the library was created with.
2025-03-14T04:34:28.7202977Z             with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument
2025-03-14T04:34:28.7204575Z                          to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls.
2025-03-14T04:34:28.7205412Z 
2025-03-14T04:34:28.7205617Z         Example::
2025-03-14T04:34:28.7206113Z             >>> my_lib = Library("_", "IMPL")
2025-03-14T04:34:28.7206803Z             >>> def fallback_kernel(op, *args, **kwargs):
2025-03-14T04:34:28.7207542Z             >>>     # Handle all autocast ops generically
2025-03-14T04:34:28.7208196Z             >>>     # ...
2025-03-14T04:34:28.7208783Z             >>> my_lib.fallback(fallback_kernel, "Autocast")
2025-03-14T04:34:28.7209440Z         
2025-03-14T04:34:28.7210891Z 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))
2025-03-14T04:34:28.7212342Z 
2025-03-14T04:34:28.7212615Z my_lib.fallback(fallback_kernel, "Autocast")
2025-03-14T04:34:28.7213240Z ^
2025-03-14T04:34:28.7282596Z msg = Cannot scrape callname=register_fake in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py line=920.
2025-03-14T04:34:28.7284370Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-03-14T04:34:28.7285531Z Register a FakeTensor implementation ("fake impl") for this operator.
2025-03-14T04:34:28.7286215Z 
2025-03-14T04:34:28.7286553Z     Also sometimes known as a "meta kernel", "abstract impl".
2025-03-14T04:34:28.7287149Z 
2025-03-14T04:34:28.7287625Z     An "FakeTensor implementation" specifies the behavior of this operator on
2025-03-14T04:34:28.7288713Z     Tensors that carry no data ("FakeTensor"). Given some input Tensors with
2025-03-14T04:34:28.7289936Z     certain properties (sizes/strides/storage_offset/device), it specifies
2025-03-14T04:34:28.7290906Z     what the properties of the output Tensors are.
2025-03-14T04:34:28.7291399Z 
2025-03-14T04:34:28.7291860Z     The FakeTensor implementation has the same signature as the operator.
2025-03-14T04:34:28.7292907Z     It is run for both FakeTensors and meta tensors. To write a FakeTensor
2025-03-14T04:34:28.7294130Z     implementation, assume that all Tensor inputs to the operator are
2025-03-14T04:34:28.7295187Z     regular CPU/CUDA/Meta tensors, but they do not have storage, and
2025-03-14T04:34:28.7296216Z     you are trying to return regular CPU/CUDA/Meta tensor(s) as output.
2025-03-14T04:34:28.7297303Z     The FakeTensor implementation must consist of only PyTorch operations
2025-03-14T04:34:28.7298332Z     (and may not directly access the storage or data of any input or
2025-03-14T04:34:28.7299044Z     intermediate Tensors).
2025-03-14T04:34:28.7299333Z 
2025-03-14T04:34:28.7299582Z     This API may be used as a decorator (see examples).
2025-03-14T04:34:28.7300129Z 
2025-03-14T04:34:28.7300412Z     For a detailed guide on custom ops, please see
2025-03-14T04:34:28.7301364Z     https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html
2025-03-14T04:34:28.7302053Z 
2025-03-14T04:34:28.7302240Z     Examples:
2025-03-14T04:34:28.7302646Z         >>> import torch
2025-03-14T04:34:28.7303154Z         >>> import numpy as np
2025-03-14T04:34:28.7303719Z         >>> from torch import Tensor
2025-03-14T04:34:28.7304246Z         >>>
2025-03-14T04:34:28.7304827Z         >>> # Example 1: an operator without data-dependent output shape
2025-03-14T04:34:28.7305824Z         >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=())
2025-03-14T04:34:28.7306899Z         >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-03-14T04:34:28.7307906Z         >>>     raise NotImplementedError("Implementation goes here")
2025-03-14T04:34:28.7308644Z         >>>
2025-03-14T04:34:28.7309201Z         >>> @torch.library.register_fake("mylib::custom_linear")
2025-03-14T04:34:28.7309930Z         >>> def _(x, weight, bias):
2025-03-14T04:34:28.7310498Z         >>>     assert x.dim() == 2
2025-03-14T04:34:28.7311086Z         >>>     assert weight.dim() == 2
2025-03-14T04:34:28.7311704Z         >>>     assert bias.dim() == 1
2025-03-14T04:34:28.7312347Z         >>>     assert x.shape[1] == weight.shape[1]
2025-03-14T04:34:28.7313004Z         >>>     assert weight.shape[0] == bias.shape[0]
2025-03-14T04:34:28.7313672Z         >>>     assert x.device == weight.device
2025-03-14T04:34:28.7314268Z         >>>
2025-03-14T04:34:28.7314713Z         >>>     return (x @ weight.t()) + bias
2025-03-14T04:34:28.7315406Z         >>>
2025-03-14T04:34:28.7315948Z         >>> with torch._subclasses.fake_tensor.FakeTensorMode():
2025-03-14T04:34:28.7316709Z         >>>     x = torch.randn(2, 3)
2025-03-14T04:34:28.7317310Z         >>>     w = torch.randn(3, 3)
2025-03-14T04:34:28.7317892Z         >>>     b = torch.randn(3)
2025-03-14T04:34:28.7318522Z         >>>     y = torch.ops.mylib.custom_linear(x, w, b)
2025-03-14T04:34:28.7319176Z         >>>
2025-03-14T04:34:28.7319623Z         >>> assert y.shape == (2, 3)
2025-03-14T04:34:28.7320183Z         >>>
2025-03-14T04:34:28.7320758Z         >>> # Example 2: an operator with data-dependent output shape
2025-03-14T04:34:28.7321786Z         >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=())
2025-03-14T04:34:28.7322712Z         >>> def custom_nonzero(x: Tensor) -> Tensor:
2025-03-14T04:34:28.7323386Z         >>>     x_np = x.numpy(force=True)
2025-03-14T04:34:28.7324063Z         >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-03-14T04:34:28.7324786Z         >>>     return torch.tensor(res, device=x.device)
2025-03-14T04:34:28.7325411Z         >>>
2025-03-14T04:34:28.7325937Z         >>> @torch.library.register_fake("mylib::custom_nonzero")
2025-03-14T04:34:28.7326648Z         >>> def _(x):
2025-03-14T04:34:28.7327213Z         >>> # Number of nonzero-elements is data-dependent.
2025-03-14T04:34:28.7328123Z         >>> # Since we cannot peek at the data in an fake impl,
2025-03-14T04:34:28.7328958Z         >>> # we use the ctx object to construct a new symint that
2025-03-14T04:34:28.7329733Z         >>> # represents the data-dependent size.
2025-03-14T04:34:28.7330429Z         >>>     ctx = torch.library.get_ctx()
2025-03-14T04:34:28.7331086Z         >>>     nnz = ctx.new_dynamic_size()
2025-03-14T04:34:28.7331839Z         >>>     shape = [nnz, x.dim()]
2025-03-14T04:34:28.7332529Z         >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-03-14T04:34:28.7333212Z         >>>     return result
2025-03-14T04:34:28.7333679Z         >>>
2025-03-14T04:34:28.7334254Z         >>> from torch.fx.experimental.proxy_tensor import make_fx
2025-03-14T04:34:28.7334985Z         >>>
2025-03-14T04:34:28.7335422Z         >>> x = torch.tensor([0, 1, 2, 3, 4, 0])
2025-03-14T04:34:28.7336315Z         >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x)
2025-03-14T04:34:28.7337301Z         >>> trace.print_readable()
2025-03-14T04:34:28.7337837Z         >>>
2025-03-14T04:34:28.7338495Z         >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x))
2025-03-14T04:34:28.7339172Z 
2025-03-14T04:34:28.7339327Z     
2025-03-14T04:34:28.7340588Z Original Error: IndentationError('expected an indented block after function definition on line 37', ('<source_block>', 38, 1, '_._ = None\n', 38, 2))
2025-03-14T04:34:28.7341873Z 
2025-03-14T04:34:28.7342031Z _._ = None
2025-03-14T04:34:28.7342386Z ^
2025-03-14T04:34:28.7343611Z msg = Cannot scrape callname=register_autograd in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py line=1041.
2025-03-14T04:34:28.7345319Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:28.7346337Z Register a backward formula for this custom op.
2025-03-14T04:34:28.7346844Z 
2025-03-14T04:34:28.7347198Z     In order for an operator to work with autograd, you need to register
2025-03-14T04:34:28.7348035Z     a backward formula:
2025-03-14T04:34:28.7348740Z     1. You must tell us how to compute gradients during the backward pass
2025-03-14T04:34:28.7349600Z     by providing us a "backward" function.
2025-03-14T04:34:28.7350449Z     2. If you need any values from the forward to compute gradients, you can
2025-03-14T04:34:28.7351363Z     use `setup_context` to save values for backward.
2025-03-14T04:34:28.7351875Z 
2025-03-14T04:34:28.7352308Z     ``backward`` runs during the backward pass. It accepts ``(ctx, *grads)``:
2025-03-14T04:34:28.7353340Z     - ``grads`` is one or more gradients. The number of gradients matches
2025-03-14T04:34:28.7354186Z     the number of outputs of the operator.
2025-03-14T04:34:28.7355056Z     The ``ctx`` object is `the same ctx object <context_method_mixins>`_ used by
2025-03-14T04:34:28.7356287Z     :class:`torch.autograd.Function`. The semantics of ``backward_fn`` are the
2025-03-14T04:34:28.7357307Z     same as :meth:`torch.autograd.Function.backward`.
2025-03-14T04:34:28.7357847Z 
2025-03-14T04:34:28.7358252Z     ``setup_context(ctx, inputs, output)`` runs during the forward pass.
2025-03-14T04:34:28.7359271Z     Please save quantities needed for backward onto the ``ctx`` object via
2025-03-14T04:34:28.7360396Z     either :meth:`torch.autograd.function.FunctionCtx.save_for_backward`
2025-03-14T04:34:28.7361502Z     or assigning them as attributes of ``ctx``. If your custom op has
2025-03-14T04:34:28.7362546Z     kwarg-only arguments, we expect the signature of ``setup_context``
2025-03-14T04:34:28.7363595Z     to be ``setup_context(ctx, inputs, keyword_only_inputs, output)``.
2025-03-14T04:34:28.7364219Z 
2025-03-14T04:34:28.7364659Z     Both ``setup_context_fn`` and ``backward_fn`` must be traceable. That is,
2025-03-14T04:34:28.7365781Z     they may not directly access :meth:`torch.Tensor.data_ptr` and they must
2025-03-14T04:34:28.7367111Z     not depend on or mutate global state. If you need a non-traceable backward,
2025-03-14T04:34:28.7368374Z     you can make it a separate custom_op that you call inside ``backward_fn``.
2025-03-14T04:34:28.7369056Z 
2025-03-14T04:34:28.7369452Z     If you need different autograd behavior on different devices, then we
2025-03-14T04:34:28.7370503Z     recommend creating two different custom operators, one for each device
2025-03-14T04:34:28.7371760Z     that needs different behavior, and switching between them at runtime.
2025-03-14T04:34:28.7372438Z 
2025-03-14T04:34:28.7372624Z     Examples:
2025-03-14T04:34:28.7373062Z         >>> import torch
2025-03-14T04:34:28.7373567Z         >>> import numpy as np
2025-03-14T04:34:28.7374117Z         >>> from torch import Tensor
2025-03-14T04:34:28.7374630Z         >>>
2025-03-14T04:34:28.7377220Z         >>> @torch.library.custom_op("mylib::numpy_sin", mutates_args=())
2025-03-14T04:34:28.7378082Z         >>> def numpy_sin(x: Tensor) -> Tensor:
2025-03-14T04:34:28.7378727Z         >>>     x_np = x.cpu().numpy()
2025-03-14T04:34:28.7379439Z         >>>     y_np = np.sin(x_np)
2025-03-14T04:34:28.7380122Z         >>>     return torch.from_numpy(y_np).to(device=x.device)
2025-03-14T04:34:28.7380779Z         >>>
2025-03-14T04:34:28.7381247Z         >>> def setup_context(ctx, inputs, output) -> Tensor:
2025-03-14T04:34:28.7381866Z         >>>     x, = inputs
2025-03-14T04:34:28.7382368Z         >>>     ctx.save_for_backward(x)
2025-03-14T04:34:28.7382862Z         >>>
2025-03-14T04:34:28.7383253Z         >>> def backward(ctx, grad):
2025-03-14T04:34:28.7383813Z         >>>     x, = ctx.saved_tensors
2025-03-14T04:34:28.7384341Z         >>>     return grad * x.cos()
2025-03-14T04:34:28.7384811Z         >>>
2025-03-14T04:34:28.7385129Z         >>> torch.library.register_autograd(
2025-03-14T04:34:28.7385580Z         ...     "mylib::numpy_sin", backward, setup_context=setup_context
2025-03-14T04:34:28.7385995Z         ... )
2025-03-14T04:34:28.7386218Z         >>>
2025-03-14T04:34:28.7386496Z         >>> x = torch.randn(3, requires_grad=True)
2025-03-14T04:34:28.7386874Z         >>> y = numpy_sin(x)
2025-03-14T04:34:28.7387253Z         >>> (grad_x,) = torch.autograd.grad(y, x, torch.ones_like(y))
2025-03-14T04:34:28.7387698Z         >>> assert torch.allclose(grad_x, x.cos())
2025-03-14T04:34:28.7388052Z         >>>
2025-03-14T04:34:28.7388323Z         >>> # Example with a keyword-only arg
2025-03-14T04:34:28.7388788Z         >>> @torch.library.custom_op("mylib::numpy_mul", mutates_args=())
2025-03-14T04:34:28.7389295Z         >>> def numpy_mul(x: Tensor, *, val: float) -> Tensor:
2025-03-14T04:34:28.7389697Z         >>>     x_np = x.cpu().numpy()
2025-03-14T04:34:28.7390029Z         >>>     y_np = x_np * val
2025-03-14T04:34:28.7390404Z         >>>     return torch.from_numpy(y_np).to(device=x.device)
2025-03-14T04:34:28.7390788Z         >>>
2025-03-14T04:34:28.7391164Z         >>> def setup_context(ctx, inputs, keyword_only_inputs, output) -> Tensor:
2025-03-14T04:34:28.7391668Z         >>>     ctx.val = keyword_only_inputs["val"]
2025-03-14T04:34:28.7392027Z         >>>
2025-03-14T04:34:28.7392281Z         >>> def backward(ctx, grad):
2025-03-14T04:34:28.7392617Z         >>>     return grad * ctx.val
2025-03-14T04:34:28.7392920Z         >>>
2025-03-14T04:34:28.7393189Z         >>> torch.library.register_autograd(
2025-03-14T04:34:28.7393622Z         ...     "mylib::numpy_mul", backward, setup_context=setup_context
2025-03-14T04:34:28.7394047Z         ... )
2025-03-14T04:34:28.7394424Z         >>>
2025-03-14T04:34:28.7394847Z         >>> x = torch.randn(3, requires_grad=True)
2025-03-14T04:34:28.7395583Z         >>> y = numpy_mul(x, val=3.14)
2025-03-14T04:34:28.7396286Z         >>> (grad_x,) = torch.autograd.grad(y, x, torch.ones_like(y))
2025-03-14T04:34:28.7397155Z         >>> assert torch.allclose(grad_x, torch.full_like(x, 3.14))
2025-03-14T04:34:28.7397724Z 
2025-03-14T04:34:28.7397872Z     
2025-03-14T04:34:28.7398548Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:28.7399254Z 
2025-03-14T04:34:28.7400280Z msg = Cannot scrape callname=opcheck in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py line=1455.
2025-03-14T04:34:28.7401860Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:28.7402982Z Given an operator and some sample arguments, tests if the operator is
2025-03-14T04:34:28.7403784Z     registered correctly.
2025-03-14T04:34:28.7404116Z 
2025-03-14T04:34:28.7404603Z     That is, when you use the torch.library/TORCH_LIBRARY APIs to create a
2025-03-14T04:34:28.7405682Z     custom op, you specified metadata (e.g. mutability info) about the custom op
2025-03-14T04:34:28.7406747Z     and these APIs require that the functions you pass them satisfy certain
2025-03-14T04:34:28.7407865Z     properties (e.g. no data pointer access in the fake/meta/abstract kernel)
2025-03-14T04:34:28.7408844Z     ``opcheck`` tests these metadata and properties.
2025-03-14T04:34:28.7409401Z 
2025-03-14T04:34:28.7409627Z     Concretely, we test the following:
2025-03-14T04:34:28.7410111Z 
2025-03-14T04:34:28.7410437Z     - test_schema: If the schema matches the implementation of
2025-03-14T04:34:28.7411418Z       the operator. For example: if the schema specifies a Tensor is mutated,
2025-03-14T04:34:28.7412469Z       then we check the implementation mutates the Tensor. If the schema
2025-03-14T04:34:28.7413439Z       specifies that we return a new Tensor, then we check that the
2025-03-14T04:34:28.7414468Z       implementation returns a new Tensor (instead of an existing one or
2025-03-14T04:34:28.7415248Z       a view of an existing one).
2025-03-14T04:34:28.7416008Z     - test_autograd_registration: If the operator supports training
2025-03-14T04:34:28.7416985Z       (autograd): we check that its autograd formula is registered via
2025-03-14T04:34:28.7417979Z       torch.library.register_autograd or a manual registration to one
2025-03-14T04:34:28.7419029Z       or more DispatchKey::Autograd keys. Any other DispatchKey-based
2025-03-14T04:34:28.7419913Z       registrations may lead to undefined behavior.
2025-03-14T04:34:28.7420742Z     - test_faketensor: If the operator has a FakeTensor kernel
2025-03-14T04:34:28.7421622Z       (and if it is correct). The FakeTensor kernel is necessary (
2025-03-14T04:34:28.7422592Z       but not sufficient) for the operator to work with PyTorch compilation
2025-03-14T04:34:28.7423645Z       APIs (torch.compile/export/FX). We check that a FakeTensor kernel
2025-03-14T04:34:28.7424645Z       (also sometimes known as a meta kernel) was registered for the
2025-03-14T04:34:28.7425635Z       operator and that it is correct. This test takes the result of
2025-03-14T04:34:28.7426594Z       running the operator on real tensors and the result of running
2025-03-14T04:34:28.7427580Z       the operator on FakeTensors and checks that they have the same
2025-03-14T04:34:28.7428473Z       Tensor metadata (sizes/strides/dtype/device/etc).
2025-03-14T04:34:28.7429363Z     - test_aot_dispatch_dynamic: If the operator has correct behavior
2025-03-14T04:34:28.7430294Z       with PyTorch compilation APIs (torch.compile/export/FX).
2025-03-14T04:34:28.7431155Z       This checks that the outputs (and gradients, if applicable) are the
2025-03-14T04:34:28.7432065Z       same under eager-mode PyTorch and torch.compile.
2025-03-14T04:34:28.7432968Z       This test is a superset of ``test_faketensor`` and is an e2e test;
2025-03-14T04:34:28.7433810Z       other things it tests are that the operator supports
2025-03-14T04:34:28.7434711Z       functionalization and that the backward pass (if it exists) also
2025-03-14T04:34:28.7435665Z       supports FakeTensor and functionalization.
2025-03-14T04:34:28.7436153Z 
2025-03-14T04:34:28.7436524Z     For best results, please call ``opcheck`` multiple times with a
2025-03-14T04:34:28.7437482Z     representative set of inputs. If your operator supports
2025-03-14T04:34:28.7438505Z     autograd, please use ``opcheck`` with inputs with ``requires_grad = True``;
2025-03-14T04:34:28.7439584Z     if your operator supports multiple devices (e.g. CPU and CUDA), please
2025-03-14T04:34:28.7440629Z     use ``opcheck`` with inputs on all supported devices.
2025-03-14T04:34:28.7441159Z 
2025-03-14T04:34:28.7441319Z     Args:
2025-03-14T04:34:28.7441868Z         op: The operator. Must either be a function decorated with
2025-03-14T04:34:28.7442825Z             :func:`torch.library.custom_op` or an OpOverload/OpOverloadPacket
2025-03-14T04:34:28.7443967Z             found in torch.ops.* (e.g. torch.ops.aten.sin, torch.ops.mylib.foo)
2025-03-14T04:34:28.7444794Z         args: The args to the operator
2025-03-14T04:34:28.7445398Z         kwargs: The kwargs to the operator
2025-03-14T04:34:28.7446153Z         test_utils: Tests that we should run. Default: all of them.
2025-03-14T04:34:28.7446966Z             Example: ("test_schema", "test_faketensor")
2025-03-14T04:34:28.7447804Z         raise_exception: If we should raise an exception on the first
2025-03-14T04:34:28.7448702Z             error. If False, we will return a dict with information
2025-03-14T04:34:28.7449511Z             on if each test passed or not.
2025-03-14T04:34:28.7450387Z         rtol (Optional[float]): Relative tolerance for floating point comparisons.
2025-03-14T04:34:28.7451370Z             If specified ``atol`` must also be specified.
2025-03-14T04:34:28.7452246Z             If omitted, default values based on the ``dtype`` are selected
2025-03-14T04:34:28.7453161Z             (see the table in :func:`torch.testing.assert_close`).
2025-03-14T04:34:28.7454152Z         atol (Optional[float]): Absolute tolerance for floating point comparisons.
2025-03-14T04:34:28.7455109Z             If specified ``rtol`` must also be specified.
2025-03-14T04:34:28.7455915Z             If omitted, default values based on the ``dtype`` are selected
2025-03-14T04:34:28.7456791Z             (see the table in :func:`torch.testing.assert_close`).
2025-03-14T04:34:28.7457352Z 
2025-03-14T04:34:28.7457590Z     .. warning::
2025-03-14T04:34:28.7457862Z 
2025-03-14T04:34:28.7458277Z         opcheck and :func:`torch.autograd.gradcheck` test different things;
2025-03-14T04:34:28.7459325Z         opcheck tests if your usage of torch.library APIs is correct while
2025-03-14T04:34:28.7460352Z         :func:`torch.autograd.gradcheck` tests if your autograd formula is
2025-03-14T04:34:28.7461403Z         mathematically correct. Use both to test custom ops that support
2025-03-14T04:34:28.7462217Z         gradient computation.
2025-03-14T04:34:28.7462586Z 
2025-03-14T04:34:28.7462768Z     Example:
2025-03-14T04:34:28.7463008Z 
2025-03-14T04:34:28.7463223Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-03-14T04:34:28.7463950Z         >>> @torch.library.custom_op("mylib::numpy_mul", mutates_args=())
2025-03-14T04:34:28.7464807Z         >>> def numpy_mul(x: Tensor, y: float) -> Tensor:
2025-03-14T04:34:28.7465580Z         >>>     x_np = x.numpy(force=True)
2025-03-14T04:34:28.7466167Z         >>>     z_np = x_np * y
2025-03-14T04:34:28.7466738Z         >>>     return torch.from_numpy(z_np).to(x.device)
2025-03-14T04:34:28.7467552Z         >>>
2025-03-14T04:34:28.7467963Z         >>> @numpy_mul.register_fake
2025-03-14T04:34:28.7468516Z         >>> def _(x, y):
2025-03-14T04:34:28.7469014Z         >>>     return torch.empty_like(x)
2025-03-14T04:34:28.7469568Z         >>>
2025-03-14T04:34:28.7470014Z         >>> def setup_context(ctx, inputs, output):
2025-03-14T04:34:28.7470637Z         >>>     y, = inputs
2025-03-14T04:34:28.7471129Z         >>>     ctx.y = y
2025-03-14T04:34:28.7471601Z         >>>
2025-03-14T04:34:28.7472021Z         >>> def backward(ctx, grad):
2025-03-14T04:34:28.7472614Z         >>>     return grad * ctx.y, None
2025-03-14T04:34:28.7473180Z         >>>
2025-03-14T04:34:28.7473889Z         >>> numpy_mul.register_autograd(backward, setup_context=setup_context)
2025-03-14T04:34:28.7474746Z         >>>
2025-03-14T04:34:28.7475239Z         >>> sample_inputs = [
2025-03-14T04:34:28.7475786Z         >>>     (torch.randn(3), 3.14),
2025-03-14T04:34:28.7476429Z         >>>     (torch.randn(2, 3, device='cuda'), 2.718),
2025-03-14T04:34:28.7477327Z         >>>     (torch.randn(1, 10, requires_grad=True), 1.234),
2025-03-14T04:34:28.7478197Z         >>>     (torch.randn(64, 64, device='cuda', requires_grad=True), 90.18),
2025-03-14T04:34:28.7478925Z         >>> ]
2025-03-14T04:34:28.7479326Z         >>>
2025-03-14T04:34:28.7479768Z         >>> for args in sample_inputs:
2025-03-14T04:34:28.7480547Z         >>>     torch.library.opcheck(numpy_mul, args)
2025-03-14T04:34:28.7481011Z 
2025-03-14T04:34:28.7481173Z     
2025-03-14T04:34:28.7481849Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:28.7482552Z 
2025-03-14T04:34:28.7876821Z msg = Cannot scrape callname=load in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py line=1283.
2025-03-14T04:34:28.7877775Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:28.7878519Z load(f, map_location=None, pickle_module=pickle, *, weights_only=True, mmap=None, **pickle_load_args)
2025-03-14T04:34:28.7879150Z 
2025-03-14T04:34:28.7879357Z     Loads an object saved with :func:`torch.save` from a file.
2025-03-14T04:34:28.7879658Z 
2025-03-14T04:34:28.7879914Z     :func:`torch.load` uses Python's unpickling facilities but treats storages,
2025-03-14T04:34:28.7880525Z     which underlie tensors, specially. They are first deserialized on the
2025-03-14T04:34:28.7881124Z     CPU and are then moved to the device they were saved from. If this fails
2025-03-14T04:34:28.7881716Z     (e.g. because the run time system doesn't have certain devices), an exception
2025-03-14T04:34:28.7882326Z     is raised. However, storages can be dynamically remapped to an alternative
2025-03-14T04:34:28.7882875Z     set of devices using the :attr:`map_location` argument.
2025-03-14T04:34:28.7883163Z 
2025-03-14T04:34:28.7883427Z     If :attr:`map_location` is a callable, it will be called once for each serialized
2025-03-14T04:34:28.7884043Z     storage with two arguments: storage and location. The storage argument
2025-03-14T04:34:28.7885029Z     will be the initial deserialization of the storage, residing on the CPU.
2025-03-14T04:34:28.7886124Z     Each serialized storage has a location tag associated with it which
2025-03-14T04:34:28.7887121Z     identifies the device it was saved from, and this tag is the second
2025-03-14T04:34:28.7888213Z     argument passed to :attr:`map_location`. The builtin location tags are ``'cpu'``
2025-03-14T04:34:28.7889371Z     for CPU tensors and ``'cuda:device_id'`` (e.g. ``'cuda:2'``) for CUDA tensors.
2025-03-14T04:34:28.7890418Z     :attr:`map_location` should return either ``None`` or a storage. If
2025-03-14T04:34:28.7891536Z     :attr:`map_location` returns a storage, it will be used as the final deserialized
2025-03-14T04:34:28.7892730Z     object, already moved to the right device. Otherwise, :func:`torch.load` will
2025-03-14T04:34:28.7893917Z     fall back to the default behavior, as if :attr:`map_location` wasn't specified.
2025-03-14T04:34:28.7894623Z 
2025-03-14T04:34:28.7895067Z     If :attr:`map_location` is a :class:`torch.device` object or a string containing
2025-03-14T04:34:28.7896195Z     a device tag, it indicates the location where all tensors should be loaded.
2025-03-14T04:34:28.7896884Z 
2025-03-14T04:34:28.7897380Z     Otherwise, if :attr:`map_location` is a dict, it will be used to remap location tags
2025-03-14T04:34:28.7898522Z     appearing in the file (keys), to ones that specify where to put the
2025-03-14T04:34:28.7899351Z     storages (values).
2025-03-14T04:34:28.7899665Z 
2025-03-14T04:34:28.7900092Z     User extensions can register their own location tags and tagging and
2025-03-14T04:34:28.7901255Z     deserialization methods using :func:`torch.serialization.register_package`.
2025-03-14T04:34:28.7901975Z 
2025-03-14T04:34:28.7902143Z     Args:
2025-03-14T04:34:28.7902975Z         f: a file-like object (has to implement :meth:`read`, :meth:`readline`, :meth:`tell`, and :meth:`seek`),
2025-03-14T04:34:28.7904337Z             or a string or os.PathLike object containing a file name
2025-03-14T04:34:28.7905502Z         map_location: a function, :class:`torch.device`, string or a dict specifying how to remap storage
2025-03-14T04:34:28.7906540Z             locations
2025-03-14T04:34:28.7907280Z         pickle_module: module used for unpickling metadata and objects (has to
2025-03-14T04:34:28.7908425Z             match the :attr:`pickle_module` used to serialize file)
2025-03-14T04:34:28.7909390Z         weights_only: Indicates whether unpickler should be restricted to
2025-03-14T04:34:28.7910342Z             loading only tensors, primitive types, dictionaries
2025-03-14T04:34:28.7911283Z             and any types added via :func:`torch.serialization.add_safe_globals`.
2025-03-14T04:34:28.7912179Z             See :ref:`weights-only` for more details.
2025-03-14T04:34:28.7913272Z         mmap: Indicates whether the file should be mmaped rather than loading all the storages into memory.
2025-03-14T04:34:28.7914893Z             Typically, tensor storages in the file will first be moved from disk to CPU memory, after which they
2025-03-14T04:34:28.7916559Z             are moved to the location that they were tagged with when saving, or specified by ``map_location``. This
2025-03-14T04:34:28.7918037Z             second step is a no-op if the final location is CPU. When the ``mmap`` flag is set, instead of copying the
2025-03-14T04:34:28.7919392Z             tensor storages from disk to CPU memory in the first step, ``f`` is mmaped.
2025-03-14T04:34:28.7920562Z         pickle_load_args: (Python 3 only) optional keyword arguments passed over to
2025-03-14T04:34:28.7921705Z             :func:`pickle_module.load` and :func:`pickle_module.Unpickler`, e.g.,
2025-03-14T04:34:28.7922570Z             :attr:`errors=...`.
2025-03-14T04:34:28.7922927Z 
2025-03-14T04:34:28.7923133Z     .. warning::
2025-03-14T04:34:28.7923809Z         :func:`torch.load()` unless `weights_only` parameter is set to `True`,
2025-03-14T04:34:28.7924850Z         uses ``pickle`` module implicitly, which is known to be insecure.
2025-03-14T04:34:28.7925990Z         It is possible to construct malicious pickle data which will execute arbitrary code
2025-03-14T04:34:28.7927224Z         during unpickling. Never load data that could have come from an untrusted
2025-03-14T04:34:28.7928499Z         source in an unsafe mode, or that could have been tampered with. **Only load data you trust**.
2025-03-14T04:34:28.7929329Z 
2025-03-14T04:34:28.7929519Z     .. note::
2025-03-14T04:34:28.7930256Z         When you call :func:`torch.load()` on a file which contains GPU tensors, those tensors
2025-03-14T04:34:28.7931490Z         will be loaded to GPU by default. You can call ``torch.load(.., map_location='cpu')``
2025-03-14T04:34:28.7932758Z         and then :meth:`load_state_dict` to avoid GPU RAM surge when loading a model checkpoint.
2025-03-14T04:34:28.7933474Z 
2025-03-14T04:34:28.7933668Z     .. note::
2025-03-14T04:34:28.7934405Z         By default, we decode byte strings as ``utf-8``.  This is to avoid a common error
2025-03-14T04:34:28.7935546Z         case ``UnicodeDecodeError: 'ascii' codec can't decode byte 0x...``
2025-03-14T04:34:28.7936601Z         when loading files saved by Python 2 in Python 3.  If this default
2025-03-14T04:34:28.7937724Z         is incorrect, you may use an extra :attr:`encoding` keyword argument to specify how
2025-03-14T04:34:28.7938927Z         these objects should be loaded, e.g., :attr:`encoding='latin1'` decodes them
2025-03-14T04:34:28.7940107Z         to strings using ``latin1`` encoding, and :attr:`encoding='bytes'` keeps them
2025-03-14T04:34:28.7941258Z         as byte arrays which can be decoded later with ``byte_array.decode(...)``.
2025-03-14T04:34:28.7941962Z 
2025-03-14T04:34:28.7942129Z     Example:
2025-03-14T04:34:28.7942620Z         >>> # xdoctest: +SKIP("undefined filepaths")
2025-03-14T04:34:28.7943352Z         >>> torch.load("tensors.pt", weights_only=True)
2025-03-14T04:34:28.7944051Z         # Load all tensors onto the CPU
2025-03-14T04:34:28.7944761Z         >>> torch.load(
2025-03-14T04:34:28.7945277Z         ...     "tensors.pt",
2025-03-14T04:34:28.7945864Z         ...     map_location=torch.device("cpu"),
2025-03-14T04:34:28.7946518Z         ...     weights_only=True,
2025-03-14T04:34:28.7947061Z         ... )
2025-03-14T04:34:28.7947574Z         # Load all tensors onto the CPU, using a function
2025-03-14T04:34:28.7948239Z         >>> torch.load(
2025-03-14T04:34:28.7948849Z         ...     "tensors.pt",
2025-03-14T04:34:28.7949474Z         ...     map_location=lambda storage, loc: storage,
2025-03-14T04:34:28.7950187Z         ...     weights_only=True,
2025-03-14T04:34:28.7950709Z         ... )
2025-03-14T04:34:28.7951152Z         # Load all tensors onto GPU 1
2025-03-14T04:34:28.7951736Z         >>> torch.load(
2025-03-14T04:34:28.7952224Z         ...     "tensors.pt",
2025-03-14T04:34:28.7952870Z         ...     map_location=lambda storage, loc: storage.cuda(1),
2025-03-14T04:34:28.7953617Z         ...     weights_only=True,
2025-03-14T04:34:28.7954295Z         ... )  # type: ignore[attr-defined]
2025-03-14T04:34:28.7954930Z         # Map tensors from GPU 1 to GPU 0
2025-03-14T04:34:28.7955623Z         >>> torch.load(
2025-03-14T04:34:28.7956120Z         ...     "tensors.pt",
2025-03-14T04:34:28.7956684Z         ...     map_location={"cuda:1": "cuda:0"},
2025-03-14T04:34:28.7957334Z         ...     weights_only=True,
2025-03-14T04:34:28.7957884Z         ... )
2025-03-14T04:34:28.7958347Z         # Load tensor from io.BytesIO object
2025-03-14T04:34:28.7959259Z         # Loading from a buffer setting weights_only=False, warning this can be unsafe
2025-03-14T04:34:28.7960203Z         >>> with open("tensor.pt", "rb") as f:
2025-03-14T04:34:28.7960855Z         ...     buffer = io.BytesIO(f.read())
2025-03-14T04:34:28.7961501Z         >>> torch.load(buffer, weights_only=False)
2025-03-14T04:34:28.7962248Z         # Load a module with 'ascii' encoding for unpickling
2025-03-14T04:34:28.7963224Z         # Loading from a module setting weights_only=False, warning this can be unsafe
2025-03-14T04:34:28.7964341Z         >>> torch.load("module.pt", encoding="ascii", weights_only=False)
2025-03-14T04:34:28.7965110Z     
2025-03-14T04:34:28.7965818Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:28.7966562Z 
2025-03-14T04:34:28.9003387Z msg = Cannot scrape callname=is_available in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/accelerator/__init__.py line=38.
2025-03-14T04:34:28.9005145Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-03-14T04:34:28.9006314Z Check if the current accelerator is available at runtime: it was build, all the
2025-03-14T04:34:28.9007428Z     required drivers are available and at least one device is visible.
2025-03-14T04:34:28.9008357Z     See :ref:`accelerator<accelerators>` for details.
2025-03-14T04:34:28.9008867Z 
2025-03-14T04:34:28.9009035Z     Returns:
2025-03-14T04:34:28.9009836Z         bool: A boolean indicating if there is an available :ref:`accelerator<accelerators>`.
2025-03-14T04:34:28.9010635Z 
2025-03-14T04:34:28.9010836Z     Example::
2025-03-14T04:34:28.9011100Z 
2025-03-14T04:34:28.9011628Z         >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-03-14T04:34:28.9012545Z     
2025-03-14T04:34:28.9013901Z Original Error: SyntaxError('invalid syntax', ('<source_block>', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78))
2025-03-14T04:34:28.9015222Z 
2025-03-14T04:34:28.9015710Z assert torch.accelerator.is_available() "No available accelerators detected."
2025-03-14T04:34:28.9016622Z                                         ^
2025-03-14T04:34:28.9025118Z msg = Cannot scrape callname=synchronize in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/accelerator/__init__.py line=153.
2025-03-14T04:34:28.9026101Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-03-14T04:34:28.9026901Z Wait for all kernels in all streams on the given device to complete.
2025-03-14T04:34:28.9027252Z 
2025-03-14T04:34:28.9027352Z     Args:
2025-03-14T04:34:28.9027823Z         device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match
2025-03-14T04:34:28.9028523Z             the current :ref:`accelerator<accelerators>` device type. If not given,
2025-03-14T04:34:28.9029224Z             use :func:`torch.accelerator.current_device_index` by default.
2025-03-14T04:34:28.9029762Z 
2025-03-14T04:34:28.9030336Z     .. note:: This function is a no-op if the current :ref:`accelerator<accelerators>` is not initialized.
2025-03-14T04:34:28.9031138Z 
2025-03-14T04:34:28.9031299Z     Example::
2025-03-14T04:34:28.9031535Z 
2025-03-14T04:34:28.9031687Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-03-14T04:34:28.9032235Z         >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-03-14T04:34:28.9032937Z         >>> start_event = torch.Event(enable_timing=True)
2025-03-14T04:34:28.9033442Z         >>> end_event = torch.Event(enable_timing=True)
2025-03-14T04:34:28.9033823Z         >>> start_event.record()
2025-03-14T04:34:28.9034281Z         >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator())
2025-03-14T04:34:28.9034776Z         >>> sum = torch.sum(tensor)
2025-03-14T04:34:28.9035185Z         >>> end_event.record()
2025-03-14T04:34:28.9035539Z         >>> torch.accelerator.synchronize()
2025-03-14T04:34:28.9035970Z         >>> elapsed_time_ms = start_event.elapsed_time(end_event)
2025-03-14T04:34:28.9036363Z     
2025-03-14T04:34:28.9037099Z Original Error: SyntaxError('invalid syntax', ('<source_block>', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78))
2025-03-14T04:34:28.9038307Z 
2025-03-14T04:34:28.9038805Z assert torch.accelerator.is_available() "No available accelerators detected."
2025-03-14T04:34:28.9039685Z                                         ^
2025-03-14T04:34:28.9272747Z msg = Cannot scrape callname=cudart in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/__init__.py line=396.
2025-03-14T04:34:28.9274474Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-03-14T04:34:28.9275497Z Retrieves the CUDA runtime API module.
2025-03-14T04:34:28.9275925Z 
2025-03-14T04:34:28.9275934Z 
2025-03-14T04:34:28.9276451Z     This function initializes the CUDA runtime environment if it is not already
2025-03-14T04:34:28.9277643Z     initialized and returns the CUDA runtime API module (_cudart). The CUDA
2025-03-14T04:34:28.9278771Z     runtime API module provides access to various CUDA runtime functions.
2025-03-14T04:34:28.9279452Z 
2025-03-14T04:34:28.9279627Z     Args:
2025-03-14T04:34:28.9280022Z         ``None``
2025-03-14T04:34:28.9280284Z 
2025-03-14T04:34:28.9280456Z     Returns:
2025-03-14T04:34:28.9280967Z         module: The CUDA runtime API module (_cudart).
2025-03-14T04:34:28.9281481Z 
2025-03-14T04:34:28.9281654Z     Raises:
2025-03-14T04:34:28.9282332Z         RuntimeError: If CUDA cannot be re-initialized in a forked subprocess.
2025-03-14T04:34:28.9283736Z         AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable.
2025-03-14T04:34:28.9284685Z 
2025-03-14T04:34:28.9284952Z     Example of CUDA operations with profiling:
2025-03-14T04:34:28.9285600Z         >>> import torch
2025-03-14T04:34:28.9286183Z         >>> from torch.cuda import cudart, check_error
2025-03-14T04:34:28.9286842Z         >>> import os
2025-03-14T04:34:28.9287290Z         >>>
2025-03-14T04:34:28.9287750Z         >>> os.environ['CUDA_PROFILE'] = '1'
2025-03-14T04:34:28.9288339Z         >>>
2025-03-14T04:34:28.9288833Z         >>> def perform_cuda_operations_with_streams():
2025-03-14T04:34:28.9289540Z         >>>     stream = torch.cuda.Stream()
2025-03-14T04:34:28.9290194Z         >>>     with torch.cuda.stream(stream):
2025-03-14T04:34:28.9291103Z         >>>         x = torch.randn(100, 100, device='cuda')
2025-03-14T04:34:28.9291806Z         >>>         y = torch.randn(100, 100, device='cuda')
2025-03-14T04:34:28.9292471Z         >>>         z = torch.mul(x, y)
2025-03-14T04:34:28.9293051Z         >>>     return z
2025-03-14T04:34:28.9293517Z         >>>
2025-03-14T04:34:28.9293948Z         >>> torch.cuda.synchronize()
2025-03-14T04:34:28.9294598Z         >>> print("====== Start nsys profiling ======")
2025-03-14T04:34:28.9295494Z         >>> check_error(cudart().cudaProfilerStart())
2025-03-14T04:34:28.9296229Z         >>> with torch.autograd.profiler.emit_nvtx():
2025-03-14T04:34:28.9297012Z         >>>     result = perform_cuda_operations_with_streams()
2025-03-14T04:34:28.9297768Z         >>>     print("CUDA operations completed.")
2025-03-14T04:34:28.9298539Z         >>> check_error(torch.cuda.cudart().cudaProfilerStop())
2025-03-14T04:34:28.9299332Z         >>> print("====== End nsys profiling ======")
2025-03-14T04:34:28.9299806Z 
2025-03-14T04:34:28.9300288Z     To run this example and save the profiling information, execute:
2025-03-14T04:34:28.9301595Z         >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-03-14T04:34:28.9302541Z 
2025-03-14T04:34:28.9303017Z     This command profiles the CUDA operations in the provided script and saves
2025-03-14T04:34:28.9304098Z     the profiling information to a file named `trace_name.prof`.
2025-03-14T04:34:28.9305177Z     The `--profile-from-start off` option ensures that profiling starts only
2025-03-14T04:34:28.9306153Z     after the `cudaProfilerStart` call in the script.
2025-03-14T04:34:28.9307091Z     The `--csv` and `--print-summary` options format the profiling output as a
2025-03-14T04:34:28.9308014Z     CSV file and print a summary, respectively.
2025-03-14T04:34:28.9308962Z     The `-o` option specifies the output file name, and the `-f` option forces the
2025-03-14T04:34:28.9309973Z     overwrite of the output file if it already exists.
2025-03-14T04:34:28.9310661Z     
2025-03-14T04:34:28.9312166Z 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))
2025-03-14T04:34:28.9313681Z 
2025-03-14T04:34:28.9314384Z $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-03-14T04:34:28.9315558Z ^
2025-03-14T04:34:28.9447920Z msg = Cannot scrape callname=Future.then in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/futures/__init__.py line=105.
2025-03-14T04:34:28.9449719Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:28.9450476Z 
2025-03-14T04:34:28.9450888Z Append the given callback function to this ``Future``, which will be run
2025-03-14T04:34:28.9451889Z when the ``Future`` is completed.  Multiple callbacks can be added to
2025-03-14T04:34:28.9452902Z the same ``Future``, but the order in which they will be executed cannot
2025-03-14T04:34:28.9453901Z be guaranteed (to enforce a certain order consider chaining:
2025-03-14T04:34:28.9454863Z ``fut.then(cb1).then(cb2)``). The callback must take one argument, which
2025-03-14T04:34:28.9455898Z is the reference to this ``Future``. The callback function can use the
2025-03-14T04:34:28.9456930Z :meth:`value` method to get the value. Note that if this ``Future`` is
2025-03-14T04:34:28.9457954Z already completed, the given callback will be run immediately inline.
2025-03-14T04:34:28.9458597Z 
2025-03-14T04:34:28.9458991Z If the ``Future``'s value contains tensors that reside on GPUs, the
2025-03-14T04:34:28.9459986Z callback might be invoked while the async kernels that are populating
2025-03-14T04:34:28.9461086Z those tensors haven't yet finished executing on the device. However, the
2025-03-14T04:34:28.9462177Z callback will be invoked with some dedicated streams set as current
2025-03-14T04:34:28.9463096Z (fetched from a global pool) which will be synchronized with those
2025-03-14T04:34:28.9464348Z kernels. Hence any operation performed by the callback on these tensors
2025-03-14T04:34:28.9465397Z will be scheduled on the device after the kernels complete. In other
2025-03-14T04:34:28.9466383Z words, as long as the callback doesn't switch streams, it can safely
2025-03-14T04:34:28.9467628Z manipulate the result without any additional synchronization. This is
2025-03-14T04:34:28.9468779Z similar to the non-blocking behavior of :meth:`wait`.
2025-03-14T04:34:28.9469268Z 
2025-03-14T04:34:28.9469693Z Similarly, if the callback returns a value that contains tensors that
2025-03-14T04:34:28.9470692Z reside on a GPU, it can do so even if the kernels that are producing
2025-03-14T04:34:28.9471711Z these tensors are still running on the device, as long as the callback
2025-03-14T04:34:28.9472703Z didn't change streams during its execution. If one wants to change
2025-03-14T04:34:28.9473722Z streams, one must be careful to re-synchronize them with the original
2025-03-14T04:34:28.9474903Z streams, that is, those that were current when the callback was invoked.
2025-03-14T04:34:28.9475659Z 
2025-03-14T04:34:28.9475824Z Args:
2025-03-14T04:34:28.9476443Z     callback(``Callable``): a ``Callable`` that takes this ``Future`` as
2025-03-14T04:34:28.9477224Z                             the only argument.
2025-03-14T04:34:28.9477656Z 
2025-03-14T04:34:28.9477818Z Returns:
2025-03-14T04:34:28.9478365Z     A new ``Future`` object that holds the return value of the
2025-03-14T04:34:28.9479236Z     ``callback`` and will be marked as completed when the given
2025-03-14T04:34:28.9479973Z     ``callback`` finishes.
2025-03-14T04:34:28.9480317Z 
2025-03-14T04:34:28.9480656Z .. note:: Note that if the callback function throws, either
2025-03-14T04:34:28.9481572Z     through the original future being completed with an exception and
2025-03-14T04:34:28.9482572Z     calling ``fut.wait()``, or through other code in the callback, the
2025-03-14T04:34:28.9483559Z     future returned by ``then`` will be marked appropriately with the
2025-03-14T04:34:28.9484540Z     encountered error. However, if this callback later completes
2025-03-14T04:34:28.9485520Z     additional futures, those futures are not marked as completed with
2025-03-14T04:34:28.9486193Z     an error and the user is responsible for handling completion/waiting
2025-03-14T04:34:28.9486666Z     on those futures independently.
2025-03-14T04:34:28.9486889Z 
2025-03-14T04:34:28.9487023Z Example::
2025-03-14T04:34:28.9487324Z     >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_FUTURES)
2025-03-14T04:34:28.9487711Z     >>> def callback(fut):
2025-03-14T04:34:28.9488054Z     ...     print(f"RPC return value is {fut.wait()}.")
2025-03-14T04:34:28.9488450Z     >>> fut = torch.futures.Future()
2025-03-14T04:34:28.9488846Z     >>> # The inserted callback will print the return value when
2025-03-14T04:34:28.9489281Z     >>> # receiving the response from "worker1"
2025-03-14T04:34:28.9489648Z     >>> cb_fut = fut.then(callback)
2025-03-14T04:34:28.9489984Z     >>> chain_cb_fut = cb_fut.then(
2025-03-14T04:34:28.9490366Z     ...     lambda x : print(f"Chained cb done. {x.wait()}")
2025-03-14T04:34:28.9490738Z     ... )
2025-03-14T04:34:28.9491049Z     >>> fut.set_result(5)
2025-03-14T04:34:28.9491530Z     RPC return value is 5.
2025-03-14T04:34:28.9492013Z     Chained cb done. None
2025-03-14T04:34:28.9492311Z 
2025-03-14T04:34:28.9492815Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:28.9493479Z 
2025-03-14T04:34:28.9494568Z msg = Cannot scrape callname=Future.set_result in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/futures/__init__.py line=213.
2025-03-14T04:34:28.9496371Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:28.9497126Z 
2025-03-14T04:34:28.9497523Z Set the result for this ``Future``, which will mark this ``Future`` as
2025-03-14T04:34:28.9498548Z completed and trigger all attached callbacks. Note that a ``Future``
2025-03-14T04:34:28.9499599Z cannot be marked completed twice.
2025-03-14T04:34:28.9500016Z 
2025-03-14T04:34:28.9500446Z If the result contains tensors that reside on GPUs, this method can be
2025-03-14T04:34:28.9501455Z called even if the asynchronous kernels that are populating those
2025-03-14T04:34:28.9502437Z tensors haven't yet completed running on the device, provided that the
2025-03-14T04:34:28.9503158Z streams on which those kernels were enqueued are set as the current ones
2025-03-14T04:34:28.9503747Z when this method is called. Put simply, it's safe to call this method
2025-03-14T04:34:28.9504321Z immediately after launching those kernels, without any additional
2025-03-14T04:34:28.9504905Z synchronization, as long as one doesn't change streams in between. This
2025-03-14T04:34:28.9505495Z method will record events on all the relevant current streams and will
2025-03-14T04:34:28.9506064Z use them to ensure proper scheduling for all the consumers of this
2025-03-14T04:34:28.9506495Z ``Future``.
2025-03-14T04:34:28.9506681Z 
2025-03-14T04:34:28.9506786Z Args:
2025-03-14T04:34:28.9507090Z     result (object): the result object of this ``Future``.
2025-03-14T04:34:28.9507374Z 
2025-03-14T04:34:28.9507499Z Example::
2025-03-14T04:34:28.9507805Z     >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_FUTURES)
2025-03-14T04:34:28.9508178Z     >>> import threading
2025-03-14T04:34:28.9508464Z     >>> import time
2025-03-14T04:34:28.9508752Z     >>> def slow_set_future(fut, value):
2025-03-14T04:34:28.9509095Z     ...     time.sleep(0.5)
2025-03-14T04:34:28.9509397Z     ...     fut.set_result(value)
2025-03-14T04:34:28.9509732Z     >>> fut = torch.futures.Future()
2025-03-14T04:34:28.9510069Z     >>> t = threading.Thread(
2025-03-14T04:34:28.9510378Z     ...     target=slow_set_future,
2025-03-14T04:34:28.9510715Z     ...     args=(fut, torch.ones(2) * 3)
2025-03-14T04:34:28.9511059Z     ... )
2025-03-14T04:34:28.9511296Z     >>> t.start()
2025-03-14T04:34:28.9511559Z     >>> print(fut.wait())
2025-03-14T04:34:28.9511850Z     tensor([3., 3.])
2025-03-14T04:34:28.9512122Z     >>> t.join()
2025-03-14T04:34:28.9512268Z 
2025-03-14T04:34:28.9512549Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:28.9513100Z 
2025-03-14T04:34:28.9589596Z msg = Cannot scrape callname=compile_shader in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/mps/__init__.py line=144.
2025-03-14T04:34:28.9591369Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:28.9592539Z Compiles compute shader from source and allows one to invoke kernels
2025-03-14T04:34:28.9593469Z     defined there from the comfort of Python runtime
2025-03-14T04:34:28.9594150Z     Example::
2025-03-14T04:34:28.9594405Z 
2025-03-14T04:34:28.9594672Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_MPS)
2025-03-14T04:34:28.9595468Z         >>> lib = torch.mps.compile_shader(
2025-03-14T04:34:28.9596634Z         ... "kernel void full(device float* out, constant float& val, uint idx [[thread_position_in_grid]]) { out[idx] = val; }"
2025-03-14T04:34:28.9597766Z         ...  )
2025-03-14T04:34:28.9598245Z         >>> x = torch.zeros(16, device="mps")
2025-03-14T04:34:28.9598873Z         >>> lib.full(x, 3.14)
2025-03-14T04:34:28.9599381Z     
2025-03-14T04:34:28.9600090Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:28.9600824Z 
2025-03-14T04:34:28.9768531Z msg = Cannot scrape callname=sum in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/sparse/__init__.py line=202.
2025-03-14T04:34:28.9770214Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:28.9771239Z Return the sum of each row of the given sparse tensor.
2025-03-14T04:34:28.9771776Z 
2025-03-14T04:34:28.9772168Z     Returns the sum of each row of the sparse tensor :attr:`input` in the given
2025-03-14T04:34:28.9773185Z     dimensions :attr:`dim`. If :attr:`dim` is a list of dimensions,
2025-03-14T04:34:28.9774386Z     reduce over all of them. When sum over all ``sparse_dim``, this method
2025-03-14T04:34:28.9775332Z     returns a dense tensor instead of a sparse tensor.
2025-03-14T04:34:28.9775857Z 
2025-03-14T04:34:28.9776351Z     All summed :attr:`dim` are squeezed (see :func:`torch.squeeze`), resulting an output
2025-03-14T04:34:28.9777456Z     tensor having :attr:`dim` fewer dimensions than :attr:`input`.
2025-03-14T04:34:28.9778080Z 
2025-03-14T04:34:28.9778700Z     During backward, only gradients at ``nnz`` locations of :attr:`input`
2025-03-14T04:34:28.9779829Z     will propagate back. Note that the gradients of :attr:`input` is coalesced.
2025-03-14T04:34:28.9780545Z 
2025-03-14T04:34:28.9780710Z     Args:
2025-03-14T04:34:28.9781180Z         input (Tensor): the input sparse tensor
2025-03-14T04:34:28.9782117Z         dim (int or tuple of ints): a dimension or a list of dimensions to reduce. Default: reduce
2025-03-14T04:34:28.9783050Z             over all dims.
2025-03-14T04:34:28.9783859Z         dtype (:class:`torch.dtype`, optional): the desired data type of returned Tensor.
2025-03-14T04:34:28.9784921Z             Default: dtype of :attr:`input`.
2025-03-14T04:34:28.9785320Z 
2025-03-14T04:34:28.9785537Z     Example::
2025-03-14T04:34:28.9785758Z 
2025-03-14T04:34:28.9785937Z         >>> nnz = 3
2025-03-14T04:34:28.9786386Z         >>> dims = [5, 5, 2, 3]
2025-03-14T04:34:28.9786989Z         >>> I = torch.cat([torch.randint(0, dims[0], size=(nnz,)),
2025-03-14T04:34:28.9787888Z                            torch.randint(0, dims[1], size=(nnz,))], 0).reshape(2, nnz)
2025-03-14T04:34:28.9788680Z         >>> V = torch.randn(nnz, dims[2], dims[3])
2025-03-14T04:34:28.9789312Z         >>> size = torch.Size(dims)
2025-03-14T04:34:28.9789967Z         >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-03-14T04:34:28.9790678Z         >>> S = torch.sparse_coo_tensor(I, V, size)
2025-03-14T04:34:28.9791301Z         >>> S
2025-03-14T04:34:28.9791747Z         tensor(indices=tensor([[2, 0, 3],
2025-03-14T04:34:28.9792364Z                                [2, 4, 1]]),
2025-03-14T04:34:28.9793008Z                values=tensor([[[-0.6438, -1.6467,  1.4004],
2025-03-14T04:34:28.9793684Z                                [ 0.3411,  0.0918, -0.2312]],
2025-03-14T04:34:28.9794135Z 
2025-03-14T04:34:28.9794341Z                               [[ 0.5348,  0.0634, -2.0494],
2025-03-14T04:34:28.9794979Z                                [-0.7125, -1.0646,  2.1844]],
2025-03-14T04:34:28.9795566Z 
2025-03-14T04:34:28.9795790Z                               [[ 0.1276,  0.1874, -0.6334],
2025-03-14T04:34:28.9796431Z                                [-1.9682, -0.5340,  0.7483]]]),
2025-03-14T04:34:28.9797138Z                size=(5, 5, 2, 3), nnz=3, layout=torch.sparse_coo)
2025-03-14T04:34:28.9797645Z 
2025-03-14T04:34:28.9798009Z         # when sum over only part of sparse_dims, return a sparse tensor
2025-03-14T04:34:28.9798737Z         >>> torch.sparse.sum(S, [1, 3])
2025-03-14T04:34:28.9799364Z         tensor(indices=tensor([[0, 2, 3]]),
2025-03-14T04:34:28.9804104Z                values=tensor([[-1.4512,  0.4073],
2025-03-14T04:34:28.9804787Z                               [-0.8901,  0.2017],
2025-03-14T04:34:28.9805354Z                               [-0.3183, -1.7539]]),
2025-03-14T04:34:28.9806026Z                size=(5, 2), nnz=3, layout=torch.sparse_coo)
2025-03-14T04:34:28.9806520Z 
2025-03-14T04:34:28.9806830Z         # when sum over all sparse dim, return a dense tensor
2025-03-14T04:34:28.9807562Z         # with summed dims squeezed
2025-03-14T04:34:28.9808165Z         >>> torch.sparse.sum(S, [0, 1, 3])
2025-03-14T04:34:28.9808782Z         tensor([-2.6596, -1.1450])
2025-03-14T04:34:28.9809314Z     
2025-03-14T04:34:28.9810016Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:28.9810766Z 
2025-03-14T04:34:29.6230767Z msg = Cannot scrape callname=vmap in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/apis.py line=39.
2025-03-14T04:34:29.6232507Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:29.6233554Z 
2025-03-14T04:34:29.6234049Z vmap is the vectorizing map; ``vmap(func)`` returns a new function that
2025-03-14T04:34:29.6235182Z maps ``func`` over some dimension of the inputs. Semantically, vmap
2025-03-14T04:34:29.6236243Z pushes the map into PyTorch operations called by ``func``, effectively
2025-03-14T04:34:29.6237113Z vectorizing those operations.
2025-03-14T04:34:29.6237629Z 
2025-03-14T04:34:29.6238067Z vmap is useful for handling batch dimensions: one can write a function
2025-03-14T04:34:29.6239111Z ``func`` that runs on examples and then lift it to a function that can
2025-03-14T04:34:29.6240153Z take batches of examples with ``vmap(func)``. vmap can also be used to
2025-03-14T04:34:29.6241087Z compute batched gradients when composed with autograd.
2025-03-14T04:34:29.6241645Z 
2025-03-14T04:34:29.6241835Z .. note::
2025-03-14T04:34:29.6242412Z     :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for
2025-03-14T04:34:29.6243391Z     convenience. Use whichever one you'd like.
2025-03-14T04:34:29.6243868Z 
2025-03-14T04:34:29.6244031Z Args:
2025-03-14T04:34:29.6244665Z     func (function): A Python function that takes one or more arguments.
2025-03-14T04:34:29.6245526Z         Must return one or more Tensors.
2025-03-14T04:34:29.6246334Z     in_dims (int or nested structure): Specifies which dimension of the
2025-03-14T04:34:29.6247284Z         inputs should be mapped over. ``in_dims`` should have a
2025-03-14T04:34:29.6248210Z         structure like the inputs. If the ``in_dim`` for a particular
2025-03-14T04:34:29.6249168Z         input is None, then that indicates there is no map dimension.
2025-03-14T04:34:29.6249937Z         Default: 0.
2025-03-14T04:34:29.6250590Z     out_dims (int or Tuple[int]): Specifies where the mapped dimension
2025-03-14T04:34:29.6251568Z         should appear in the outputs. If ``out_dims`` is a Tuple, then
2025-03-14T04:34:29.6252457Z         it should have one element per output. Default: 0.
2025-03-14T04:34:29.6253298Z     randomness (str): Specifies whether the randomness in this
2025-03-14T04:34:29.6254230Z         vmap should be the same or different across batches. If 'different',
2025-03-14T04:34:29.6255182Z         the randomness for each batch will be different. If 'same', the
2025-03-14T04:34:29.6256218Z         randomness will be the same across batches. If 'error', any calls to
2025-03-14T04:34:29.6257273Z         random functions will error. Default: 'error'. WARNING: this flag
2025-03-14T04:34:29.6258308Z         only applies to random PyTorch operations and does not apply to
2025-03-14T04:34:29.6259194Z         Python's random module or numpy randomness.
2025-03-14T04:34:29.6260083Z     chunk_size (None or int): If None (default), apply a single vmap over inputs.
2025-03-14T04:34:29.6261149Z         If not None, then compute the vmap :attr:`chunk_size` samples at a time.
2025-03-14T04:34:29.6282253Z         Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop.
2025-03-14T04:34:29.6283319Z         If you run into memory issues computing the vmap, please try a non-None chunk_size.
2025-03-14T04:34:29.6283730Z 
2025-03-14T04:34:29.6283846Z Returns:
2025-03-14T04:34:29.6284192Z     Returns a new "batched" function. It takes the same inputs as
2025-03-14T04:34:29.6284703Z     ``func``, except each input has an extra dimension at the index
2025-03-14T04:34:29.6285239Z     specified by ``in_dims``. It takes returns the same outputs as
2025-03-14T04:34:29.6285756Z     ``func``, except each output has an extra dimension at the index
2025-03-14T04:34:29.6286189Z     specified by ``out_dims``.
2025-03-14T04:34:29.6286398Z 
2025-03-14T04:34:29.6286493Z .. warning:
2025-03-14T04:34:29.6286843Z     :func:`vmap` works best with functional-style code. Please do not
2025-03-14T04:34:29.6287371Z     perform any side-effects in ``func``, with the exception of
2025-03-14T04:34:29.6287935Z     in-place PyTorch operations. Examples of side-effects include mutating
2025-03-14T04:34:29.6288603Z     Python data structures and assigning values to variables not captured
2025-03-14T04:34:29.6289063Z     in ``func``.
2025-03-14T04:34:29.6289211Z 
2025-03-14T04:34:29.6289473Z One example of using :func:`vmap` is to compute batched dot products. PyTorch
2025-03-14T04:34:29.6290176Z doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully
2025-03-14T04:34:29.6291293Z rummaging through docs, use :func:`vmap` to construct a new function.
2025-03-14T04:34:29.6291906Z 
2025-03-14T04:34:29.6292189Z     >>> torch.dot                            # [D], [D] -> []
2025-03-14T04:34:29.6293036Z     >>> batched_dot = torch.func.vmap(torch.dot)  # [N, D], [N, D] -> [N]
2025-03-14T04:34:29.6293869Z     >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-03-14T04:34:29.6294513Z     >>> batched_dot(x, y)
2025-03-14T04:34:29.6294831Z 
2025-03-14T04:34:29.6295276Z :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler
2025-03-14T04:34:29.6296147Z model authoring experience.
2025-03-14T04:34:29.6296624Z 
2025-03-14T04:34:29.6296846Z     >>> batch_size, feature_size = 3, 5
2025-03-14T04:34:29.6297585Z     >>> weights = torch.randn(feature_size, requires_grad=True)
2025-03-14T04:34:29.6298305Z     >>>
2025-03-14T04:34:29.6298710Z     >>> def model(feature_vec):
2025-03-14T04:34:29.6299311Z     >>>     # Very simple linear model with activation
2025-03-14T04:34:29.6300013Z     >>>     return feature_vec.dot(weights).relu()
2025-03-14T04:34:29.6300615Z     >>>
2025-03-14T04:34:29.6301114Z     >>> examples = torch.randn(batch_size, feature_size)
2025-03-14T04:34:29.6301845Z     >>> result = torch.vmap(model)(examples)
2025-03-14T04:34:29.6302296Z 
2025-03-14T04:34:29.6302779Z :func:`vmap` can also help vectorize computations that were previously difficult
2025-03-14T04:34:29.6303955Z or impossible to batch. One example is higher-order gradient computation.
2025-03-14T04:34:29.6305084Z The PyTorch autograd engine computes vjps (vector-Jacobian products).
2025-03-14T04:34:29.6306213Z Computing a full Jacobian matrix for some function f: R^N -> R^N usually
2025-03-14T04:34:29.6307360Z requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`,
2025-03-14T04:34:29.6308481Z we can vectorize the whole computation, computing the Jacobian in a single
2025-03-14T04:34:29.6309369Z call to ``autograd.grad``.
2025-03-14T04:34:29.6309701Z 
2025-03-14T04:34:29.6309878Z     >>> # Setup
2025-03-14T04:34:29.6310303Z     >>> N = 5
2025-03-14T04:34:29.6310727Z     >>> f = lambda x: x ** 2
2025-03-14T04:34:29.6311295Z     >>> x = torch.randn(N, requires_grad=True)
2025-03-14T04:34:29.6311894Z     >>> y = f(x)
2025-03-14T04:34:29.6312335Z     >>> I_N = torch.eye(N)
2025-03-14T04:34:29.6312819Z     >>>
2025-03-14T04:34:29.6313245Z     >>> # Sequential approach
2025-03-14T04:34:29.6314012Z     >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0]
2025-03-14T04:34:29.6314865Z     >>>                  for v in I_N.unbind()]
2025-03-14T04:34:29.6315618Z     >>> jacobian = torch.stack(jacobian_rows)
2025-03-14T04:34:29.6316371Z     >>>
2025-03-14T04:34:29.6316817Z     >>> # vectorized gradient computation
2025-03-14T04:34:29.6317424Z     >>> def get_vjp(v):
2025-03-14T04:34:29.6317952Z     >>>     return torch.autograd.grad(y, x, v)
2025-03-14T04:34:29.6318617Z     >>> jacobian = torch.vmap(get_vjp)(I_N)
2025-03-14T04:34:29.6319055Z 
2025-03-14T04:34:29.6319580Z :func:`vmap` can also be nested, producing an output with multiple batched dimensions
2025-03-14T04:34:29.6320334Z 
2025-03-14T04:34:29.6320611Z     >>> torch.dot                            # [D], [D] -> []
2025-03-14T04:34:29.6321638Z     >>> batched_dot = torch.vmap(torch.vmap(torch.dot))  # [N1, N0, D], [N1, N0, D] -> [N1, N0]
2025-03-14T04:34:29.6322661Z     >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5)
2025-03-14T04:34:29.6323378Z     >>> batched_dot(x, y) # tensor of size [2, 3]
2025-03-14T04:34:29.6323836Z 
2025-03-14T04:34:29.6324322Z If the inputs are not batched along the first dimension, ``in_dims`` specifies
2025-03-14T04:34:29.6325427Z the dimension that each inputs are batched along as
2025-03-14T04:34:29.6325947Z 
2025-03-14T04:34:29.6326222Z     >>> torch.dot                            # [N], [N] -> []
2025-03-14T04:34:29.6327149Z     >>> batched_dot = torch.vmap(torch.dot, in_dims=1)  # [N, D], [N, D] -> [D]
2025-03-14T04:34:29.6328048Z     >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-03-14T04:34:29.6329032Z     >>> batched_dot(x, y)   # output is [5] instead of [2] if batched along the 0th dimension
2025-03-14T04:34:29.6329725Z 
2025-03-14T04:34:29.6330247Z If there are multiple inputs each of which is batched along different dimensions,
2025-03-14T04:34:29.6331332Z ``in_dims`` must be a tuple with the batch dimension for each input as
2025-03-14T04:34:29.6331909Z 
2025-03-14T04:34:29.6332154Z     >>> torch.dot                            # [D], [D] -> []
2025-03-14T04:34:29.6333074Z     >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None))  # [N, D], [D] -> [N]
2025-03-14T04:34:29.6334011Z     >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-03-14T04:34:29.6334904Z     >>> batched_dot(x, y) # second arg doesn't have a batch dim because in_dim[1] was None
2025-03-14T04:34:29.6335616Z 
2025-03-14T04:34:29.6336047Z If the input is a Python struct, ``in_dims`` must be a tuple containing a struct
2025-03-14T04:34:29.6336918Z matching the shape of the input:
2025-03-14T04:34:29.6337279Z 
2025-03-14T04:34:29.6337538Z     >>> f = lambda dict: torch.dot(dict['x'], dict['y'])
2025-03-14T04:34:29.6338249Z     >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-03-14T04:34:29.6338879Z     >>> input = {'x': x, 'y': y}
2025-03-14T04:34:29.6339582Z     >>> batched_dot = torch.vmap(f, in_dims=({'x': 0, 'y': None},))
2025-03-14T04:34:29.6340327Z     >>> batched_dot(input)
2025-03-14T04:34:29.6340669Z 
2025-03-14T04:34:29.6341187Z By default, the output is batched along the first dimension. However, it can be batched
2025-03-14T04:34:29.6342185Z along any dimension by using ``out_dims``
2025-03-14T04:34:29.6342650Z 
2025-03-14T04:34:29.6342839Z     >>> f = lambda x: x ** 2
2025-03-14T04:34:29.6343368Z     >>> x = torch.randn(2, 5)
2025-03-14T04:34:29.6343946Z     >>> batched_pow = torch.vmap(f, out_dims=1)
2025-03-14T04:34:29.6344579Z     >>> batched_pow(x) # [5, 2]
2025-03-14T04:34:29.6344929Z 
2025-03-14T04:34:29.6345495Z For any function that uses kwargs, the returned function will not batch the kwargs but will
2025-03-14T04:34:29.6346470Z accept kwargs
2025-03-14T04:34:29.6346713Z 
2025-03-14T04:34:29.6346893Z     >>> x = torch.randn([2, 5])
2025-03-14T04:34:29.6347415Z     >>> def fn(x, scale=4.):
2025-03-14T04:34:29.6347898Z     >>>   return x * scale
2025-03-14T04:34:29.6348285Z     >>>
2025-03-14T04:34:29.6348537Z     >>> batched_pow = torch.vmap(fn)
2025-03-14T04:34:29.6348917Z     >>> assert torch.allclose(batched_pow(x), x * 4)
2025-03-14T04:34:29.6349412Z     >>> batched_pow(x, scale=x) # scale is not batched, output has shape [2, 2, 5]
2025-03-14T04:34:29.6349781Z 
2025-03-14T04:34:29.6349904Z .. note::
2025-03-14T04:34:29.6350360Z     vmap does not provide general autobatching or handle variable-length
2025-03-14T04:34:29.6350830Z     sequences out of the box.
2025-03-14T04:34:29.6351039Z 
2025-03-14T04:34:29.6351303Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:29.6351695Z 
2025-03-14T04:34:31.2210413Z msg = Cannot scrape callname=triton_op in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/triton.py line=21.
2025-03-14T04:34:31.2211355Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:31.2212029Z Create a custom operator whose implementation is backed by 1+ triton kernels.
2025-03-14T04:34:31.2212430Z 
2025-03-14T04:34:31.2212652Z     This is a more structured way of using triton kernels with PyTorch.
2025-03-14T04:34:31.2213285Z     Prefer using triton kernels with no ``torch.library`` custom operator wrappers
2025-03-14T04:34:31.2213943Z     (like :func:`torch.library.custom_op`, :func:`torch.library.triton_op`) because
2025-03-14T04:34:31.2214638Z     that is simpler;
2025-03-14T04:34:31.2215078Z     only use :func:`torch.library.custom_op`/:func:`torch.library.triton_op` if you
2025-03-14T04:34:31.2215952Z     want to create an operator that behaves like PyTorch built-in operators.
2025-03-14T04:34:31.2216540Z     For example, you may use a ``torch.library`` wrapper API to define the
2025-03-14T04:34:31.2217586Z     behavior of the triton kernel when passed a tensor subclass or under
2025-03-14T04:34:31.2218058Z     a TorchDispatchMode.
2025-03-14T04:34:31.2218255Z 
2025-03-14T04:34:31.2218517Z     Use :func:`torch.library.triton_op` instead of :func:`torch.library.custom_op`
2025-03-14T04:34:31.2219019Z     when the implementation
2025-03-14T04:34:31.2219457Z     consists of 1+ triton kernels. :func:`torch.library.custom_op` treats
2025-03-14T04:34:31.2219987Z     custom operators as opaque (:func:`torch.compile` and
2025-03-14T04:34:31.2220532Z     :func:`torch.export.export` will never trace into them), but ``triton_op``
2025-03-14T04:34:31.2221202Z     makes the implementation visible to these subsystems, allowing them
2025-03-14T04:34:31.2221669Z     to optimize the triton kernel(s).
2025-03-14T04:34:31.2221906Z 
2025-03-14T04:34:31.2222107Z     Note that ``fn`` must only consist of calls to PyTorch-understood
2025-03-14T04:34:31.2222669Z     operators and triton kernels. Any triton kernels called inside ``fn``
2025-03-14T04:34:31.2223243Z     must be wrapped in a call to :func:`torch.library.wrap_triton`.
2025-03-14T04:34:31.2223570Z 
2025-03-14T04:34:31.2223664Z     Args:
2025-03-14T04:34:31.2224061Z         name (str): A name for the custom op that looks like "{namespace}::{name}",
2025-03-14T04:34:31.2224645Z             e.g. "mylib::my_linear". The name is used as the op's stable identifier
2025-03-14T04:34:31.2225172Z             in PyTorch subsystems (e.g. torch.export, FX graphs).
2025-03-14T04:34:31.2225715Z             To avoid name collisions, please use your project name as the namespace;
2025-03-14T04:34:31.2226317Z             e.g. all custom ops in pytorch/fbgemm use "fbgemm" as the namespace.
2025-03-14T04:34:31.2226942Z         mutates_args (Iterable[str] or "unknown"): The names of args that the function mutates.
2025-03-14T04:34:31.2227600Z             This MUST be accurate, otherwise, the behavior is undefined. If "unknown",
2025-03-14T04:34:31.2228250Z             it pessimistically assumes that all inputs to the operator are being mutated.
2025-03-14T04:34:31.2228846Z         schema (None | str): A schema string for the operator. If None
2025-03-14T04:34:31.2229384Z             (recommended) we'll infer a schema for the operator from its type
2025-03-14T04:34:31.2229938Z             annotations. We recommend letting us infer a schema unless you
2025-03-14T04:34:31.2230402Z             have a specific reason not to.
2025-03-14T04:34:31.2230802Z             Example: "(Tensor x, int y) -> (Tensor, Tensor)".
2025-03-14T04:34:31.2231083Z 
2025-03-14T04:34:31.2231188Z     Example::
2025-03-14T04:34:31.2231329Z 
2025-03-14T04:34:31.2231622Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-03-14T04:34:31.2231996Z         >>> import torch
2025-03-14T04:34:31.2232340Z         >>> from torch.library import triton_op, wrap_triton
2025-03-14T04:34:31.2232719Z         >>>
2025-03-14T04:34:31.2232963Z         >>> import triton
2025-03-14T04:34:31.2233277Z         >>> from triton import language as tl
2025-03-14T04:34:31.2233618Z         >>>
2025-03-14T04:34:31.2233855Z         >>> @triton.jit
2025-03-14T04:34:31.2234115Z         >>> def add_kernel(
2025-03-14T04:34:31.2234400Z         >>>     in_ptr0,
2025-03-14T04:34:31.2234673Z         >>>     in_ptr1,
2025-03-14T04:34:31.2234944Z         >>>     out_ptr,
2025-03-14T04:34:31.2235311Z         >>>     n_elements,
2025-03-14T04:34:31.2235622Z         >>>     BLOCK_SIZE: "tl.constexpr",
2025-03-14T04:34:31.2235956Z         >>> ):
2025-03-14T04:34:31.2236227Z         >>>     pid = tl.program_id(axis=0)
2025-03-14T04:34:31.2236635Z         >>>     block_start = pid * BLOCK_SIZE
2025-03-14T04:34:31.2237043Z         >>>     offsets = block_start + tl.arange(0, BLOCK_SIZE)
2025-03-14T04:34:31.2237446Z         >>>     mask = offsets < n_elements
2025-03-14T04:34:31.2237819Z         >>>     x = tl.load(in_ptr0 + offsets, mask=mask)
2025-03-14T04:34:31.2238214Z         >>>     y = tl.load(in_ptr1 + offsets, mask=mask)
2025-03-14T04:34:31.2238615Z         >>>     output = x + y
2025-03-14T04:34:31.2238967Z         >>>     tl.store(out_ptr + offsets, output, mask=mask)
2025-03-14T04:34:31.2239333Z         >>>
2025-03-14T04:34:31.2239612Z         >>> @triton_op("mylib::add", mutates_args={})
2025-03-14T04:34:31.2240052Z         >>> def add(x: torch.Tensor, y: torch.Tensor) -> torch.Tensor:
2025-03-14T04:34:31.2240491Z         >>>     output = torch.empty_like(x)
2025-03-14T04:34:31.2240855Z         >>>     n_elements = output.numel()
2025-03-14T04:34:31.2241185Z         >>>
2025-03-14T04:34:31.2241428Z         >>>     def grid(meta):
2025-03-14T04:34:31.2241845Z         >>>         return (triton.cdiv(n_elements, meta["BLOCK_SIZE"]),)
2025-03-14T04:34:31.2242247Z         >>>
2025-03-14T04:34:31.2242577Z         >>>     # NB: we need to wrap the triton kernel in a call to wrap_triton
2025-03-14T04:34:31.2243092Z         >>>     wrap_triton(add_kernel)[grid](x, y, output, n_elements, 16)
2025-03-14T04:34:31.2243526Z         >>>     return output
2025-03-14T04:34:31.2243820Z         >>>
2025-03-14T04:34:31.2244060Z         >>> @torch.compile
2025-03-14T04:34:31.2244352Z         >>> def f(x, y):
2025-03-14T04:34:31.2244637Z         >>>     return add(x, y)
2025-03-14T04:34:31.2244930Z         >>>
2025-03-14T04:34:31.2245188Z         >>> x = torch.randn(3, device="cuda")
2025-03-14T04:34:31.2245552Z         >>> y = torch.randn(3, device="cuda")
2025-03-14T04:34:31.2245873Z         >>>
2025-03-14T04:34:31.2246106Z         >>> z = f(x, y)
2025-03-14T04:34:31.2246398Z         >>> assert torch.allclose(z, x + y)
2025-03-14T04:34:31.2246648Z 
2025-03-14T04:34:31.2246739Z     
2025-03-14T04:34:31.2247130Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:31.2247522Z 
2025-03-14T04:34:31.2248082Z msg = Cannot scrape callname=wrap_triton in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/triton.py line=202.
2025-03-14T04:34:31.2248994Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:31.2249596Z Allows capture of a triton kernel into a graph via make_fx or
2025-03-14T04:34:31.2250021Z     non-strict ``torch.export``.
2025-03-14T04:34:31.2250239Z 
2025-03-14T04:34:31.2250433Z     These technologies perform Dispatcher-based tracing (via
2025-03-14T04:34:31.2250953Z     ``__torch_dispatch__``) and cannot see calls to raw triton kernels.
2025-03-14T04:34:31.2251493Z     The ``wrap_triton`` API wraps a triton kernel into a callable that
2025-03-14T04:34:31.2251950Z     can actually be traced into a graph.
2025-03-14T04:34:31.2252195Z 
2025-03-14T04:34:31.2252465Z     Please use this API together with :func:`torch.library.triton_op`.
2025-03-14T04:34:31.2252815Z 
2025-03-14T04:34:31.2252913Z     Examples:
2025-03-14T04:34:31.2253064Z 
2025-03-14T04:34:31.2253176Z         >>> # xdoctest: +SKIP
2025-03-14T04:34:31.2253478Z         >>> import torch
2025-03-14T04:34:31.2253763Z         >>> import triton
2025-03-14T04:34:31.2254073Z         >>> from triton import language as tl
2025-03-14T04:34:31.2254510Z         >>> from torch.fx.experimental.proxy_tensor import make_fx
2025-03-14T04:34:31.2254959Z         >>> from torch.library import wrap_triton
2025-03-14T04:34:31.2255307Z         >>>
2025-03-14T04:34:31.2255544Z         >>> @triton.jit
2025-03-14T04:34:31.2255819Z         >>> def add_kernel(
2025-03-14T04:34:31.2256105Z         >>>     in_ptr0,
2025-03-14T04:34:31.2256379Z         >>>     in_ptr1,
2025-03-14T04:34:31.2256649Z         >>>     out_ptr,
2025-03-14T04:34:31.2256922Z         >>>     n_elements,
2025-03-14T04:34:31.2257248Z         >>>     BLOCK_SIZE: "tl.constexpr",
2025-03-14T04:34:31.2257587Z         >>> ):
2025-03-14T04:34:31.2257856Z         >>>     pid = tl.program_id(axis=0)
2025-03-14T04:34:31.2258214Z         >>>     block_start = pid * BLOCK_SIZE
2025-03-14T04:34:31.2258612Z         >>>     offsets = block_start + tl.arange(0, BLOCK_SIZE)
2025-03-14T04:34:31.2259010Z         >>>     mask = offsets < n_elements
2025-03-14T04:34:31.2259422Z         >>>     x = tl.load(in_ptr0 + offsets, mask=mask)
2025-03-14T04:34:31.2259820Z         >>>     y = tl.load(in_ptr1 + offsets, mask=mask)
2025-03-14T04:34:31.2260180Z         >>>     output = x + y
2025-03-14T04:34:31.2260529Z         >>>     tl.store(out_ptr + offsets, output, mask=mask)
2025-03-14T04:34:31.2260900Z         >>>
2025-03-14T04:34:31.2261138Z         >>> def add(x, y):
2025-03-14T04:34:31.2261448Z         >>>     output = torch.empty_like(x)
2025-03-14T04:34:31.2261813Z         >>>     n_elements = output.numel()
2025-03-14T04:34:31.2262144Z         >>>
2025-03-14T04:34:31.2262424Z         >>>     def grid_fn(meta):
2025-03-14T04:34:31.2262819Z         >>>         return (triton.cdiv(n_elements, meta["BLOCK_SIZE"]),)
2025-03-14T04:34:31.2263208Z         >>>
2025-03-14T04:34:31.2263552Z         >>>     wrap_triton(add_kernel)[grid_fn](x, y, output, n_elements, 16)
2025-03-14T04:34:31.2263988Z         >>>     return output
2025-03-14T04:34:31.2264274Z         >>>
2025-03-14T04:34:31.2264537Z         >>> x = torch.randn(3, device="cuda")
2025-03-14T04:34:31.2264900Z         >>> y = torch.randn(3, device="cuda")
2025-03-14T04:34:31.2265247Z         >>> gm = make_fx(add)(x, y)
2025-03-14T04:34:31.2265570Z         >>> print(gm.code)
2025-03-14T04:34:31.2265874Z         >>> # def forward(self, x_1, y_1):
2025-03-14T04:34:31.2266351Z         >>> #     empty_like = torch.ops.aten.empty_like.default(x_1, pin_memory = False)
2025-03-14T04:34:31.2267190Z         >>> #     triton_kernel_wrapper_mutation_proxy = triton_kernel_wrapper_mutation(
2025-03-14T04:34:31.2267714Z         >>> #         kernel_idx = 0, constant_args_idx = 0,
2025-03-14T04:34:31.2268107Z         >>> #         grid = [(1, 1, 1)], kwargs = {
2025-03-14T04:34:31.2268511Z         >>> #             'in_ptr0': x_1, 'in_ptr1': y_1, 'out_ptr': empty_like,
2025-03-14T04:34:31.2268932Z         >>> #             'n_elements': 3, 'BLOCK_SIZE': 16
2025-03-14T04:34:31.2269284Z         >>> #         })
2025-03-14T04:34:31.2269571Z         >>> #     return empty_like
2025-03-14T04:34:31.2269784Z 
2025-03-14T04:34:31.2269885Z     
2025-03-14T04:34:31.2270275Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:31.2270655Z 
2025-03-14T04:34:31.3073015Z msg = Cannot scrape callname=assert_almost_equal in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py line=326.
2025-03-14T04:34:31.3074145Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:31.3074604Z 
2025-03-14T04:34:31.3074914Z Raises an AssertionError if two items are not equal up to desired
2025-03-14T04:34:31.3075772Z precision.
2025-03-14T04:34:31.3075913Z 
2025-03-14T04:34:31.3076130Z .. note:: It is recommended to use one of `assert_allclose`,
2025-03-14T04:34:31.3076623Z           `assert_array_almost_equal_nulp` or `assert_array_max_ulp`
2025-03-14T04:34:31.3077133Z           instead of this function for more consistent floating point
2025-03-14T04:34:31.3077556Z           comparisons.
2025-03-14T04:34:31.3077725Z 
2025-03-14T04:34:31.3077953Z The test verifies that the elements of `actual` and `desired` satisfy.
2025-03-14T04:34:31.3078329Z 
2025-03-14T04:34:31.3078595Z     ``abs(desired-actual) < float64(1.5 * 10**(-decimal))``
2025-03-14T04:34:31.3079040Z 
2025-03-14T04:34:31.3079375Z That is a looser test than originally documented, but agrees with what the
2025-03-14T04:34:31.3080054Z actual implementation in `assert_array_almost_equal` did up to rounding
2025-03-14T04:34:31.3080668Z vagaries. An exception is raised at conflicting values. For ndarrays this
2025-03-14T04:34:31.3081280Z delegates to assert_array_almost_equal
2025-03-14T04:34:31.3081527Z 
2025-03-14T04:34:31.3081627Z Parameters
2025-03-14T04:34:31.3081870Z ----------
2025-03-14T04:34:31.3082178Z actual : array_like
2025-03-14T04:34:31.3082451Z     The object to check.
2025-03-14T04:34:31.3082740Z desired : array_like
2025-03-14T04:34:31.3083020Z     The expected object.
2025-03-14T04:34:31.3083343Z decimal : int, optional
2025-03-14T04:34:31.3083864Z     Desired precision, default is 7.
2025-03-14T04:34:31.3084337Z err_msg : str, optional
2025-03-14T04:34:31.3084714Z     The error message to be printed in case of failure.
2025-03-14T04:34:31.3085354Z verbose : bool, optional
2025-03-14T04:34:31.3085990Z     If True, the conflicting values are appended to the error message.
2025-03-14T04:34:31.3086335Z 
2025-03-14T04:34:31.3086428Z Raises
2025-03-14T04:34:31.3086654Z ------
2025-03-14T04:34:31.3086884Z AssertionError
2025-03-14T04:34:31.3087241Z   If actual and desired are not equal up to specified precision.
2025-03-14T04:34:31.3087652Z 
2025-03-14T04:34:31.3087762Z See Also
2025-03-14T04:34:31.3087994Z --------
2025-03-14T04:34:31.3088375Z assert_allclose: Compare two array_like objects for equality with desired
2025-03-14T04:34:31.3088889Z                  relative and/or absolute precision.
2025-03-14T04:34:31.3089364Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal
2025-03-14T04:34:31.3089702Z 
2025-03-14T04:34:31.3089811Z Examples
2025-03-14T04:34:31.3090034Z --------
2025-03-14T04:34:31.3090356Z >>> from torch._numpy.testing import assert_almost_equal
2025-03-14T04:34:31.3090793Z >>> assert_almost_equal(2.3333333333333, 2.33333334)
2025-03-14T04:34:31.3091241Z >>> assert_almost_equal(2.3333333333333, 2.33333334, decimal=10)
2025-03-14T04:34:31.3091668Z Traceback (most recent call last):
2025-03-14T04:34:31.3091987Z     ...
2025-03-14T04:34:31.3092222Z AssertionError:
2025-03-14T04:34:31.3092513Z Arrays are not almost equal to 10 decimals
2025-03-14T04:34:31.3092857Z  ACTUAL: 2.3333333333333
2025-03-14T04:34:31.3093143Z  DESIRED: 2.33333334
2025-03-14T04:34:31.3093320Z 
2025-03-14T04:34:31.3093479Z >>> assert_almost_equal(np.array([1.0,2.3333333333333]),
2025-03-14T04:34:31.3093895Z ...                     np.array([1.0,2.33333334]), decimal=9)
2025-03-14T04:34:31.3094276Z Traceback (most recent call last):
2025-03-14T04:34:31.3094595Z     ...
2025-03-14T04:34:31.3094833Z AssertionError:
2025-03-14T04:34:31.3095122Z Arrays are not almost equal to 9 decimals
2025-03-14T04:34:31.3095469Z <BLANKLINE>
2025-03-14T04:34:31.3095731Z Mismatched elements: 1 / 2 (50%)
2025-03-14T04:34:31.3096077Z Max absolute difference: 6.666699636781459e-09
2025-03-14T04:34:31.3096469Z Max relative difference: 2.8571569790287484e-09
2025-03-14T04:34:31.3096874Z  x: torch.ndarray([1.0000, 2.3333], dtype=float64)
2025-03-14T04:34:31.3097278Z  y: torch.ndarray([1.0000, 2.3333], dtype=float64)
2025-03-14T04:34:31.3097531Z 
2025-03-14T04:34:31.3097535Z 
2025-03-14T04:34:31.3097810Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:31.3098246Z 
2025-03-14T04:34:31.3098842Z msg = Cannot scrape callname=assert_approx_equal in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py line=451.
2025-03-14T04:34:31.3099817Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:31.3100207Z 
2025-03-14T04:34:31.3100458Z Raises an AssertionError if two items are not equal up to significant
2025-03-14T04:34:31.3100906Z digits.
2025-03-14T04:34:31.3101031Z 
2025-03-14T04:34:31.3101229Z .. note:: It is recommended to use one of `assert_allclose`,
2025-03-14T04:34:31.3101717Z           `assert_array_almost_equal_nulp` or `assert_array_max_ulp`
2025-03-14T04:34:31.3102227Z           instead of this function for more consistent floating point
2025-03-14T04:34:31.3102648Z           comparisons.
2025-03-14T04:34:31.3102811Z 
2025-03-14T04:34:31.3103018Z Given two numbers, check that they are approximately equal.
2025-03-14T04:34:31.3103605Z Approximately equal is defined as the number of significant digits
2025-03-14T04:34:31.3104041Z that agree.
2025-03-14T04:34:31.3104187Z 
2025-03-14T04:34:31.3104285Z Parameters
2025-03-14T04:34:31.3104521Z ----------
2025-03-14T04:34:31.3104759Z actual : scalar
2025-03-14T04:34:31.3105018Z     The object to check.
2025-03-14T04:34:31.3105299Z desired : scalar
2025-03-14T04:34:31.3105560Z     The expected object.
2025-03-14T04:34:31.3105889Z significant : int, optional
2025-03-14T04:34:31.3106211Z     Desired precision, default is 7.
2025-03-14T04:34:31.3106544Z err_msg : str, optional
2025-03-14T04:34:31.3106880Z     The error message to be printed in case of failure.
2025-03-14T04:34:31.3107269Z verbose : bool, optional
2025-03-14T04:34:31.3107673Z     If True, the conflicting values are appended to the error message.
2025-03-14T04:34:31.3108005Z 
2025-03-14T04:34:31.3108110Z Raises
2025-03-14T04:34:31.3108334Z ------
2025-03-14T04:34:31.3108565Z AssertionError
2025-03-14T04:34:31.3108952Z   If actual and desired are not equal up to specified precision.
2025-03-14T04:34:31.3109283Z 
2025-03-14T04:34:31.3109374Z See Also
2025-03-14T04:34:31.3109599Z --------
2025-03-14T04:34:31.3109980Z assert_allclose: Compare two array_like objects for equality with desired
2025-03-14T04:34:31.3110494Z                  relative and/or absolute precision.
2025-03-14T04:34:31.3110972Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal
2025-03-14T04:34:31.3111317Z 
2025-03-14T04:34:31.3111411Z Examples
2025-03-14T04:34:31.3111639Z --------
2025-03-14T04:34:31.3112055Z >>> np.testing.assert_approx_equal(0.12345677777777e-20, 0.1234567e-20)  # doctest: +SKIP
2025-03-14T04:34:31.3112723Z >>> np.testing.assert_approx_equal(0.12345670e-20, 0.12345671e-20,  # doctest: +SKIP
2025-03-14T04:34:31.3113236Z ...                                significant=8)
2025-03-14T04:34:31.3113738Z >>> np.testing.assert_approx_equal(0.12345670e-20, 0.12345672e-20,  # doctest: +SKIP
2025-03-14T04:34:31.3114252Z ...                                significant=8)
2025-03-14T04:34:31.3114619Z Traceback (most recent call last):
2025-03-14T04:34:31.3114933Z     ...
2025-03-14T04:34:31.3115275Z AssertionError:
2025-03-14T04:34:31.3115575Z Items are not equal to 8 significant digits:
2025-03-14T04:34:31.3115934Z  ACTUAL: 1.234567e-21
2025-03-14T04:34:31.3116206Z  DESIRED: 1.2345672e-21
2025-03-14T04:34:31.3116373Z 
2025-03-14T04:34:31.3116548Z the evaluated condition that raises the exception is
2025-03-14T04:34:31.3116845Z 
2025-03-14T04:34:31.3117025Z >>> abs(0.12345670e-20/1e-21 - 0.12345672e-20/1e-21) >= 10**-(8-1)
2025-03-14T04:34:31.3117414Z True
2025-03-14T04:34:31.3117545Z 
2025-03-14T04:34:31.3117549Z 
2025-03-14T04:34:31.3117811Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:31.3118202Z 
2025-03-14T04:34:31.3118776Z msg = Cannot scrape callname=assert_array_equal in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py line=730.
2025-03-14T04:34:31.3119790Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:31.3120195Z 
2025-03-14T04:34:31.3120414Z Raises an AssertionError if two array_like objects are not equal.
2025-03-14T04:34:31.3120756Z 
2025-03-14T04:34:31.3120970Z Given two array_like objects, check that the shape is equal and all
2025-03-14T04:34:31.3121544Z elements of these objects are equal (but see the Notes for the special
2025-03-14T04:34:31.3122109Z handling of a scalar). An exception is raised at shape mismatch or
2025-03-14T04:34:31.3122678Z conflicting values. In contrast to the standard usage in numpy, NaNs
2025-03-14T04:34:31.3123265Z are compared like numbers, no assertion is raised if both objects have
2025-03-14T04:34:31.3123731Z NaNs in the same positions.
2025-03-14T04:34:31.3123933Z 
2025-03-14T04:34:31.3124171Z The usual caution for verifying equality with floating point numbers is
2025-03-14T04:34:31.3124626Z advised.
2025-03-14T04:34:31.3124794Z 
2025-03-14T04:34:31.3124891Z Parameters
2025-03-14T04:34:31.3125128Z ----------
2025-03-14T04:34:31.3125360Z x : array_like
2025-03-14T04:34:31.3125623Z     The actual object to check.
2025-03-14T04:34:31.3125932Z y : array_like
2025-03-14T04:34:31.3126202Z     The desired, expected object.
2025-03-14T04:34:31.3126527Z err_msg : str, optional
2025-03-14T04:34:31.3126868Z     The error message to be printed in case of failure.
2025-03-14T04:34:31.3127290Z verbose : bool, optional
2025-03-14T04:34:31.3127694Z     If True, the conflicting values are appended to the error message.
2025-03-14T04:34:31.3128139Z strict : bool, optional
2025-03-14T04:34:31.3128516Z     If True, raise an AssertionError when either the shape or the data
2025-03-14T04:34:31.3129039Z     type of the array_like objects does not match. The special
2025-03-14T04:34:31.3129564Z     handling for scalars mentioned in the Notes section is disabled.
2025-03-14T04:34:31.3129905Z 
2025-03-14T04:34:31.3129997Z Raises
2025-03-14T04:34:31.3130229Z ------
2025-03-14T04:34:31.3130496Z AssertionError
2025-03-14T04:34:31.3130800Z     If actual and desired objects are not equal.
2025-03-14T04:34:31.3131072Z 
2025-03-14T04:34:31.3131167Z See Also
2025-03-14T04:34:31.3131402Z --------
2025-03-14T04:34:31.3131784Z assert_allclose: Compare two array_like objects for equality with desired
2025-03-14T04:34:31.3132296Z                  relative and/or absolute precision.
2025-03-14T04:34:31.3132775Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal
2025-03-14T04:34:31.3133109Z 
2025-03-14T04:34:31.3133214Z Notes
2025-03-14T04:34:31.3133433Z -----
2025-03-14T04:34:31.3133758Z When one of `x` and `y` is a scalar and the other is array_like, the
2025-03-14T04:34:31.3134398Z function checks that each element of the array_like object is equal to
2025-03-14T04:34:31.3135200Z the scalar. This behaviour can be disabled with the `strict` parameter.
2025-03-14T04:34:31.3135846Z 
2025-03-14T04:34:31.3136039Z Examples
2025-03-14T04:34:31.3136307Z --------
2025-03-14T04:34:31.3136598Z The first assert does not raise an exception:
2025-03-14T04:34:31.3136851Z 
2025-03-14T04:34:31.3137025Z >>> np.testing.assert_array_equal([1.0,2.33333,np.nan],
2025-03-14T04:34:31.3137427Z ...                               [np.exp(0),2.33333, np.nan])
2025-03-14T04:34:31.3137686Z 
2025-03-14T04:34:31.3137924Z Use `assert_allclose` or one of the nulp (number of floating point values)
2025-03-14T04:34:31.3138410Z functions for these cases instead:
2025-03-14T04:34:31.3138640Z 
2025-03-14T04:34:31.3138794Z >>> np.testing.assert_allclose([1.0,np.pi,np.nan],
2025-03-14T04:34:31.3139202Z ...                            [1, np.sqrt(np.pi)**2, np.nan],
2025-03-14T04:34:31.3139579Z ...                            rtol=1e-10, atol=0)
2025-03-14T04:34:31.3139824Z 
2025-03-14T04:34:31.3140039Z As mentioned in the Notes section, `assert_array_equal` has special
2025-03-14T04:34:31.3140607Z handling for scalars. Here the test checks that each value in `x` is 3:
2025-03-14T04:34:31.3140966Z 
2025-03-14T04:34:31.3141087Z >>> x = np.full((2, 5), fill_value=3)
2025-03-14T04:34:31.3141507Z >>> np.testing.assert_array_equal(x, 3)
2025-03-14T04:34:31.3141752Z 
2025-03-14T04:34:31.3141978Z Use `strict` to raise an AssertionError when comparing a scalar with an
2025-03-14T04:34:31.3142421Z array:
2025-03-14T04:34:31.3142558Z 
2025-03-14T04:34:31.3142717Z >>> np.testing.assert_array_equal(x, 3, strict=True)
2025-03-14T04:34:31.3143124Z Traceback (most recent call last):
2025-03-14T04:34:31.3143442Z     ...
2025-03-14T04:34:31.3143675Z AssertionError:
2025-03-14T04:34:31.3143935Z Arrays are not equal
2025-03-14T04:34:31.3144202Z <BLANKLINE>
2025-03-14T04:34:31.3144450Z (shapes (2, 5), () mismatch)
2025-03-14T04:34:31.3144761Z  x: torch.ndarray([[3, 3, 3, 3, 3],
2025-03-14T04:34:31.3145078Z         [3, 3, 3, 3, 3]])
2025-03-14T04:34:31.3145345Z  y: torch.ndarray(3)
2025-03-14T04:34:31.3145521Z 
2025-03-14T04:34:31.3145745Z The `strict` parameter also ensures that the array data types match:
2025-03-14T04:34:31.3146133Z 
2025-03-14T04:34:31.3146241Z >>> x = np.array([2, 2, 2])
2025-03-14T04:34:31.3146569Z >>> y = np.array([2., 2., 2.], dtype=np.float32)
2025-03-14T04:34:31.3146980Z >>> np.testing.assert_array_equal(x, y, strict=True)
2025-03-14T04:34:31.3147382Z Traceback (most recent call last):
2025-03-14T04:34:31.3147702Z     ...
2025-03-14T04:34:31.3147938Z AssertionError:
2025-03-14T04:34:31.3148198Z Arrays are not equal
2025-03-14T04:34:31.3148461Z <BLANKLINE>
2025-03-14T04:34:31.3148790Z (dtypes dtype("int64"), dtype("float32") mismatch)
2025-03-14T04:34:31.3149175Z  x: torch.ndarray([2, 2, 2])
2025-03-14T04:34:31.3149483Z  y: torch.ndarray([2., 2., 2.])
2025-03-14T04:34:31.3149681Z 
2025-03-14T04:34:31.3149960Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:31.3150339Z 
2025-03-14T04:34:31.3150992Z msg = Cannot scrape callname=assert_array_almost_equal in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py line=836.
2025-03-14T04:34:31.3152046Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:31.3152450Z 
2025-03-14T04:34:31.3152676Z Raises an AssertionError if two objects are not equal up to desired
2025-03-14T04:34:31.3153120Z precision.
2025-03-14T04:34:31.3153269Z 
2025-03-14T04:34:31.3153461Z .. note:: It is recommended to use one of `assert_allclose`,
2025-03-14T04:34:31.3153957Z           `assert_array_almost_equal_nulp` or `assert_array_max_ulp`
2025-03-14T04:34:31.3154463Z           instead of this function for more consistent floating point
2025-03-14T04:34:31.3154884Z           comparisons.
2025-03-14T04:34:31.3155049Z 
2025-03-14T04:34:31.3155403Z The test verifies identical shapes and that the elements of ``actual`` and
2025-03-14T04:34:31.3155885Z ``desired`` satisfy.
2025-03-14T04:34:31.3156047Z 
2025-03-14T04:34:31.3156198Z     ``abs(desired-actual) < 1.5 * 10**(-decimal)``
2025-03-14T04:34:31.3156449Z 
2025-03-14T04:34:31.3156697Z That is a looser test than originally documented, but agrees with what the
2025-03-14T04:34:31.3157322Z actual implementation did up to rounding vagaries. An exception is raised
2025-03-14T04:34:31.3157948Z at shape mismatch or conflicting values. In contrast to the standard usage
2025-03-14T04:34:31.3158548Z in numpy, NaNs are compared like numbers, no assertion is raised if both
2025-03-14T04:34:31.3159038Z objects have NaNs in the same positions.
2025-03-14T04:34:31.3159272Z 
2025-03-14T04:34:31.3159385Z Parameters
2025-03-14T04:34:31.3159620Z ----------
2025-03-14T04:34:31.3159852Z x : array_like
2025-03-14T04:34:31.3160101Z     The actual object to check.
2025-03-14T04:34:31.3160401Z y : array_like
2025-03-14T04:34:31.3160664Z     The desired, expected object.
2025-03-14T04:34:31.3160986Z decimal : int, optional
2025-03-14T04:34:31.3161293Z     Desired precision, default is 6.
2025-03-14T04:34:31.3161629Z err_msg : str, optional
2025-03-14T04:34:31.3161968Z   The error message to be printed in case of failure.
2025-03-14T04:34:31.3162362Z verbose : bool, optional
2025-03-14T04:34:31.3162806Z     If True, the conflicting values are appended to the error message.
2025-03-14T04:34:31.3163139Z 
2025-03-14T04:34:31.3163246Z Raises
2025-03-14T04:34:31.3163473Z ------
2025-03-14T04:34:31.3163708Z AssertionError
2025-03-14T04:34:31.3164070Z     If actual and desired are not equal up to specified precision.
2025-03-14T04:34:31.3164389Z 
2025-03-14T04:34:31.3164496Z See Also
2025-03-14T04:34:31.3164733Z --------
2025-03-14T04:34:31.3165118Z assert_allclose: Compare two array_like objects for equality with desired
2025-03-14T04:34:31.3165637Z                  relative and/or absolute precision.
2025-03-14T04:34:31.3166103Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal
2025-03-14T04:34:31.3166452Z 
2025-03-14T04:34:31.3166548Z Examples
2025-03-14T04:34:31.3166777Z --------
2025-03-14T04:34:31.3167271Z the first assert does not raise an exception
2025-03-14T04:34:31.3167534Z 
2025-03-14T04:34:31.3167717Z >>> np.testing.assert_array_almost_equal([1.0,2.333,np.nan],
2025-03-14T04:34:31.3168225Z ...                                      [1.0,2.333,np.nan])
2025-03-14T04:34:31.3168478Z 
2025-03-14T04:34:31.3168664Z >>> np.testing.assert_array_almost_equal([1.0,2.33333,np.nan],
2025-03-14T04:34:31.3169112Z ...                                      [1.0,2.33339,np.nan], decimal=5)
2025-03-14T04:34:31.3169501Z Traceback (most recent call last):
2025-03-14T04:34:31.3169816Z     ...
2025-03-14T04:34:31.3170092Z AssertionError:
2025-03-14T04:34:31.3170379Z Arrays are not almost equal to 5 decimals
2025-03-14T04:34:31.3170717Z <BLANKLINE>
2025-03-14T04:34:31.3170971Z Mismatched elements: 1 / 3 (33.3%)
2025-03-14T04:34:31.3171327Z Max absolute difference: 5.999999999994898e-05
2025-03-14T04:34:31.3171721Z Max relative difference: 2.5713661239633743e-05
2025-03-14T04:34:31.3172150Z  x: torch.ndarray([1.0000, 2.3333,    nan], dtype=float64)
2025-03-14T04:34:31.3172612Z  y: torch.ndarray([1.0000, 2.3334,    nan], dtype=float64)
2025-03-14T04:34:31.3172894Z 
2025-03-14T04:34:31.3173135Z >>> np.testing.assert_array_almost_equal([1.0,2.33333,np.nan],
2025-03-14T04:34:31.3173574Z ...                                      [1.0,2.33333, 5], decimal=5)
2025-03-14T04:34:31.3173953Z Traceback (most recent call last):
2025-03-14T04:34:31.3174254Z     ...
2025-03-14T04:34:31.3174486Z AssertionError:
2025-03-14T04:34:31.3174775Z Arrays are not almost equal to 5 decimals
2025-03-14T04:34:31.3175112Z <BLANKLINE>
2025-03-14T04:34:31.3175372Z x and y nan location mismatch:
2025-03-14T04:34:31.3175746Z  x: torch.ndarray([1.0000, 2.3333,    nan], dtype=float64)
2025-03-14T04:34:31.3176201Z  y: torch.ndarray([1.0000, 2.3333, 5.0000], dtype=float64)
2025-03-14T04:34:31.3176490Z 
2025-03-14T04:34:31.3176495Z 
2025-03-14T04:34:31.3176759Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:31.3177151Z 
2025-03-14T04:34:31.3177750Z msg = Cannot scrape callname=clear_and_catch_warnings in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py line=1786.
2025-03-14T04:34:31.3178749Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:31.3179372Z Context manager that resets warning registry for catching warnings
2025-03-14T04:34:31.3179720Z 
2025-03-14T04:34:31.3179973Z     Warnings can be slippery, because, whenever a warning is triggered, Python
2025-03-14T04:34:31.3180595Z     adds a ``__warningregistry__`` member to the *calling* module.  This makes
2025-03-14T04:34:31.3181205Z     it impossible to retrigger the warning in this module, whatever you put in
2025-03-14T04:34:31.3181831Z     the warnings filters.  This context manager accepts a sequence of `modules`
2025-03-14T04:34:31.3182354Z     as a keyword argument to its constructor and:
2025-03-14T04:34:31.3182622Z 
2025-03-14T04:34:31.3182857Z     * stores and removes any ``__warningregistry__`` entries in given `modules`
2025-03-14T04:34:31.3183314Z       on entry;
2025-03-14T04:34:31.3183662Z     * resets ``__warningregistry__`` to its previous state on exit.
2025-03-14T04:34:31.3184022Z 
2025-03-14T04:34:31.3184268Z     This makes it possible to trigger any warning afresh inside the context
2025-03-14T04:34:31.3184821Z     manager without disturbing the state of warnings outside.
2025-03-14T04:34:31.3185125Z 
2025-03-14T04:34:31.3185382Z     For compatibility with Python 3.0, please consider all arguments to be
2025-03-14T04:34:31.3185855Z     keyword-only.
2025-03-14T04:34:31.3186012Z 
2025-03-14T04:34:31.3186124Z     Parameters
2025-03-14T04:34:31.3186374Z     ----------
2025-03-14T04:34:31.3186631Z     record : bool, optional
2025-03-14T04:34:31.3187025Z         Specifies whether warnings should be captured by a custom
2025-03-14T04:34:31.3187594Z         implementation of ``warnings.showwarning()`` and be appended to a list
2025-03-14T04:34:31.3188182Z         returned by the context manager. Otherwise None is returned by the
2025-03-14T04:34:31.3188749Z         context manager. The objects appended to the list are arguments whose
2025-03-14T04:34:31.3189329Z         attributes mirror the arguments to ``showwarning()``.
2025-03-14T04:34:31.3189746Z     modules : sequence, optional
2025-03-14T04:34:31.3190186Z         Sequence of modules for which to reset warnings registry on entry and
2025-03-14T04:34:31.3190744Z         restore on exit. To work correctly, all 'ignore' filters should
2025-03-14T04:34:31.3191189Z         filter by one of these modules.
2025-03-14T04:34:31.3191454Z 
2025-03-14T04:34:31.3191550Z     Examples
2025-03-14T04:34:31.3191792Z     --------
2025-03-14T04:34:31.3192036Z     >>> import warnings
2025-03-14T04:34:31.3192405Z     >>> with np.testing.clear_and_catch_warnings(  # doctest: +SKIP
2025-03-14T04:34:31.3192854Z     ...         modules=[np.core.fromnumeric]):
2025-03-14T04:34:31.3193237Z     ...     warnings.simplefilter('always')
2025-03-14T04:34:31.3193719Z     ...     warnings.filterwarnings('ignore', module='np.core.fromnumeric')
2025-03-14T04:34:31.3194260Z     ...     # do something that raises a warning but ignore those in
2025-03-14T04:34:31.3194720Z     ...     # np.core.fromnumeric
2025-03-14T04:34:31.3195023Z     
2025-03-14T04:34:31.3195501Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:31.3195880Z 
2025-03-14T04:34:31.5084052Z msg = Cannot scrape callname=Conv1d in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py line=354.
2025-03-14T04:34:31.5085060Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:31.5085687Z Applies a 1D convolution over a quantized input signal composed of
2025-03-14T04:34:31.5086154Z     several quantized input planes.
2025-03-14T04:34:31.5086396Z 
2025-03-14T04:34:31.5086634Z     For details on input arguments, parameters, and implementation see
2025-03-14T04:34:31.5087099Z     :class:`~torch.nn.Conv1d`.
2025-03-14T04:34:31.5087298Z 
2025-03-14T04:34:31.5087427Z     .. note::
2025-03-14T04:34:31.5087790Z         Only `zeros` is supported for the :attr:`padding_mode` argument.
2025-03-14T04:34:31.5088134Z 
2025-03-14T04:34:31.5088242Z     .. note::
2025-03-14T04:34:31.5088578Z         Only `torch.quint8` is supported for the input data type.
2025-03-14T04:34:31.5088880Z 
2025-03-14T04:34:31.5088885Z 
2025-03-14T04:34:31.5088996Z     Attributes:
2025-03-14T04:34:31.5089373Z         weight (Tensor):     packed tensor derived from the learnable weight
2025-03-14T04:34:31.5089835Z                              parameter.
2025-03-14T04:34:31.5090214Z         scale (Tensor):      scalar for the output scale
2025-03-14T04:34:31.5090649Z         zero_point (Tensor): scalar for the output zero point
2025-03-14T04:34:31.5090947Z 
2025-03-14T04:34:31.5091108Z     See :class:`~torch.nn.Conv1d` for other attributes.
2025-03-14T04:34:31.5091392Z 
2025-03-14T04:34:31.5091495Z     Examples::
2025-03-14T04:34:31.5091653Z 
2025-03-14T04:34:31.5091815Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_QENGINE)
2025-03-14T04:34:31.5092239Z         >>> m = nn.quantized.Conv1d(16, 33, 3, stride=2)
2025-03-14T04:34:31.5092776Z         >>> input = torch.randn(20, 16, 100)
2025-03-14T04:34:31.5093142Z         >>> # quantize input to quint8
2025-03-14T04:34:31.5093488Z         >>> # xdoctest: +SKIP
2025-03-14T04:34:31.5093915Z         >>> q_input = torch.quantize_per_tensor(input, scale=1.0, zero_point=0,
2025-03-14T04:34:31.5094407Z         ...                                     dtype=torch.quint8)
2025-03-14T04:34:31.5094785Z         >>> output = m(q_input)
2025-03-14T04:34:31.5094993Z 
2025-03-14T04:34:31.5095086Z     
2025-03-14T04:34:31.5095478Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:31.5095869Z 
2025-03-14T04:34:31.5312263Z msg = Cannot scrape callname=LSTM in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/rnn.py line=11.
2025-03-14T04:34:31.5313227Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:31.5313936Z A quantized long short-term memory (LSTM).
2025-03-14T04:34:31.5314207Z 
2025-03-14T04:34:31.5314499Z     For the description and the argument types, please, refer to :class:`~torch.nn.LSTM`
2025-03-14T04:34:31.5314923Z 
2025-03-14T04:34:31.5315025Z     Attributes:
2025-03-14T04:34:31.5315382Z         layers : instances of the `_LSTMLayer`
2025-03-14T04:34:31.5315642Z 
2025-03-14T04:34:31.5315750Z     .. note::
2025-03-14T04:34:31.5316197Z         To access the weights and biases, you need to access them per layer.
2025-03-14T04:34:31.5316733Z         See examples in :class:`~torch.ao.nn.quantizable.LSTM`
2025-03-14T04:34:31.5317028Z 
2025-03-14T04:34:31.5317147Z     Examples::
2025-03-14T04:34:31.5317405Z         >>> # xdoctest: +SKIP
2025-03-14T04:34:31.5317719Z         >>> custom_module_config = {
2025-03-14T04:34:31.5318087Z         ...     'float_to_observed_custom_module_class': {
2025-03-14T04:34:31.5318485Z         ...         nn.LSTM: nn.quantizable.LSTM,
2025-03-14T04:34:31.5318832Z         ...     },
2025-03-14T04:34:31.5319198Z         ...     'observed_to_quantized_custom_module_class': {
2025-03-14T04:34:31.5319630Z         ...         nn.quantizable.LSTM: nn.quantized.LSTM,
2025-03-14T04:34:31.5319981Z         ...     }
2025-03-14T04:34:31.5320227Z         ... }
2025-03-14T04:34:31.5320605Z         >>> tq.prepare(model, prepare_custom_module_class=custom_module_config)
2025-03-14T04:34:31.5321188Z         >>> tq.convert(model, convert_custom_module_class=custom_module_config)
2025-03-14T04:34:31.5321627Z     
2025-03-14T04:34:31.5322017Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:31.5322409Z 
2025-03-14T04:34:31.6426559Z msg = Cannot scrape callname=BaseSparsifier.squash_mask in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py line=227.
2025-03-14T04:34:31.6427709Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:31.6428296Z Squashes the sparse masks into the appropriate tensors.
2025-03-14T04:34:31.6428643Z 
2025-03-14T04:34:31.6428860Z         If either the `params_to_keep` or `params_to_keep_per_layer` is set,
2025-03-14T04:34:31.6429405Z         the module will have a `sparse_params` dict attached to it.
2025-03-14T04:34:31.6429726Z 
2025-03-14T04:34:31.6429822Z         Args:
2025-03-14T04:34:31.6430168Z             params_to_keep: List of keys to save in the module or a dict
2025-03-14T04:34:31.6430682Z                             representing the modules and keys that will have
2025-03-14T04:34:31.6431113Z                             sparsity parameters saved
2025-03-14T04:34:31.6431595Z             params_to_keep_per_layer: Dict to specify the params that should be
2025-03-14T04:34:31.6432109Z                             saved for specific layers. The keys in the dict
2025-03-14T04:34:31.6432566Z                             should be the module fqn, while the values should
2025-03-14T04:34:31.6433026Z                             be a list of strings with the names of the variables
2025-03-14T04:34:31.6433633Z                             to save in the `sparse_params`
2025-03-14T04:34:31.6433899Z 
2025-03-14T04:34:31.6433999Z         Examples:
2025-03-14T04:34:31.6434303Z             >>> # xdoctest: +SKIP("locals are undefined")
2025-03-14T04:34:31.6434698Z             >>> # Don't save any sparse params
2025-03-14T04:34:31.6435066Z             >>> sparsifier.squash_mask()
2025-03-14T04:34:31.6435536Z             >>> hasattr(model.submodule1, 'sparse_params')
2025-03-14T04:34:31.6435902Z             False
2025-03-14T04:34:31.6436050Z 
2025-03-14T04:34:31.6436192Z             >>> # Keep sparse params per layer
2025-03-14T04:34:31.6436562Z             >>> sparsifier.squash_mask(
2025-03-14T04:34:31.6436919Z             ...     params_to_keep_per_layer={
2025-03-14T04:34:31.6437299Z             ...         'submodule1.linear1': ('foo', 'bar'),
2025-03-14T04:34:31.6437696Z             ...         'submodule2.linear42': ('baz',)
2025-03-14T04:34:31.6438114Z             ...     })
2025-03-14T04:34:31.6438439Z             >>> print(model.submodule1.linear1.sparse_params)
2025-03-14T04:34:31.6438837Z             {'foo': 42, 'bar': 24}
2025-03-14T04:34:31.6439214Z             >>> print(model.submodule2.linear42.sparse_params)
2025-03-14T04:34:31.6439601Z             {'baz': 0.1}
2025-03-14T04:34:31.6439783Z 
2025-03-14T04:34:31.6439915Z             >>> # Keep sparse params for all layers
2025-03-14T04:34:31.6440423Z             >>> sparsifier.squash_mask(params_to_keep=('foo', 'bar'))
2025-03-14T04:34:31.6440923Z             >>> print(model.submodule1.linear1.sparse_params)
2025-03-14T04:34:31.6441309Z             {'foo': 42, 'bar': 24}
2025-03-14T04:34:31.6441690Z             >>> print(model.submodule2.linear42.sparse_params)
2025-03-14T04:34:31.6442088Z             {'foo': 42, 'bar': 24}
2025-03-14T04:34:31.6442305Z 
2025-03-14T04:34:31.6442514Z             >>> # Keep some sparse params for all layers, and specific ones for
2025-03-14T04:34:31.6443017Z             >>> # some other layers
2025-03-14T04:34:31.6443361Z             >>> sparsifier.squash_mask(
2025-03-14T04:34:31.6443724Z             ...     params_to_keep=('foo', 'bar'),
2025-03-14T04:34:31.6444099Z             ...     params_to_keep_per_layer={
2025-03-14T04:34:31.6444478Z             ...         'submodule2.linear42': ('baz',)
2025-03-14T04:34:31.6444832Z             ...     })
2025-03-14T04:34:31.6445174Z             >>> print(model.submodule1.linear1.sparse_params)
2025-03-14T04:34:31.6445570Z             {'foo': 42, 'bar': 24}
2025-03-14T04:34:31.6445953Z             >>> print(model.submodule2.linear42.sparse_params)
2025-03-14T04:34:31.6446368Z             {'foo': 42, 'bar': 24, 'baz': 0.1}
2025-03-14T04:34:31.6446698Z         
2025-03-14T04:34:31.6447098Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:31.6447479Z 
2025-03-14T04:34:31.7342601Z msg = Cannot scrape callname=DTypeConfig in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/backend_config/backend_config.py line=181.
2025-03-14T04:34:31.7343728Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:31.7344121Z 
2025-03-14T04:34:31.7344400Z Config object that specifies the supported data types passed as arguments to
2025-03-14T04:34:31.7345063Z quantize ops in the reference model spec, for input and output activations,
2025-03-14T04:34:31.7345545Z weights, and biases.
2025-03-14T04:34:31.7345724Z 
2025-03-14T04:34:31.7345890Z For example, consider the following reference model:
2025-03-14T04:34:31.7346182Z 
2025-03-14T04:34:31.7346353Z   quant1 - [dequant1 - fp32_linear - quant2] - dequant2
2025-03-14T04:34:31.7346639Z 
2025-03-14T04:34:31.7346866Z The pattern in the square brackets refers to the reference pattern of
2025-03-14T04:34:31.7347459Z statically quantized linear. Setting the input dtype as `torch.quint8`
2025-03-14T04:34:31.7348068Z in the DTypeConfig means we pass in `torch.quint8` as the dtype argument
2025-03-14T04:34:31.7348827Z to the first quantize op (quant1). Similarly, setting the output dtype as
2025-03-14T04:34:31.7349420Z `torch.quint8` means we pass in `torch.quint8` as the dtype argument to
2025-03-14T04:34:31.7349898Z the second quantize op (quant2).
2025-03-14T04:34:31.7350106Z 
2025-03-14T04:34:31.7350349Z Note that the dtype here does not refer to the interface dtypes of the
2025-03-14T04:34:31.7350922Z op. For example, the "input dtype" here is not the dtype of the input
2025-03-14T04:34:31.7351490Z tensor passed to the quantized linear op. Though it can still be the
2025-03-14T04:34:31.7352052Z same as the interface dtype, this is not always the case, e.g. the
2025-03-14T04:34:31.7352610Z interface dtype is fp32 in dynamic quantization but the "input dtype"
2025-03-14T04:34:31.7353191Z specified in the DTypeConfig would still be quint8. The semantics of
2025-03-14T04:34:31.7353756Z dtypes here are the same as the semantics of the dtypes specified in
2025-03-14T04:34:31.7354254Z the observers.
2025-03-14T04:34:31.7354403Z 
2025-03-14T04:34:31.7354634Z These dtypes are matched against the ones specified in the user's
2025-03-14T04:34:31.7355266Z QConfig. If there is a match, and the QConfig satisfies the constraints
2025-03-14T04:34:31.7355839Z specified in the DTypeConfig (if any), then we will quantize the given
2025-03-14T04:34:31.7356432Z pattern using this DTypeConfig. Otherwise, the QConfig is ignored and
2025-03-14T04:34:31.7356969Z the pattern will not be quantized.
2025-03-14T04:34:31.7357199Z 
2025-03-14T04:34:31.7357322Z Example usage::
2025-03-14T04:34:31.7357487Z 
2025-03-14T04:34:31.7357602Z     >>> # xdoctest: +SKIP(failing)
2025-03-14T04:34:31.7357942Z     >>> dtype_config1 = DTypeConfig(
2025-03-14T04:34:31.7358289Z     ...     input_dtype=torch.quint8,
2025-03-14T04:34:31.7358639Z     ...     output_dtype=torch.quint8,
2025-03-14T04:34:31.7358980Z     ...     weight_dtype=torch.qint8,
2025-03-14T04:34:31.7359320Z     ...     bias_dtype=torch.float)
2025-03-14T04:34:31.7359600Z 
2025-03-14T04:34:31.7359719Z     >>> dtype_config2 = DTypeConfig(
2025-03-14T04:34:31.7360080Z     ...     input_dtype=DTypeWithConstraints(
2025-03-14T04:34:31.7360445Z     ...         dtype=torch.quint8,
2025-03-14T04:34:31.7360776Z     ...         quant_min_lower_bound=0,
2025-03-14T04:34:31.7361127Z     ...         quant_max_upper_bound=255,
2025-03-14T04:34:31.7361455Z     ...     ),
2025-03-14T04:34:31.7361743Z     ...     output_dtype=DTypeWithConstraints(
2025-03-14T04:34:31.7362106Z     ...         dtype=torch.quint8,
2025-03-14T04:34:31.7362435Z     ...         quant_min_lower_bound=0,
2025-03-14T04:34:31.7362773Z     ...         quant_max_upper_bound=255,
2025-03-14T04:34:31.7363100Z     ...     ),
2025-03-14T04:34:31.7363383Z     ...     weight_dtype=DTypeWithConstraints(
2025-03-14T04:34:31.7363748Z     ...         dtype=torch.qint8,
2025-03-14T04:34:31.7364081Z     ...         quant_min_lower_bound=-128,
2025-03-14T04:34:31.7364432Z     ...         quant_max_upper_bound=127,
2025-03-14T04:34:31.7364760Z     ...     ),
2025-03-14T04:34:31.7365019Z     ...     bias_dtype=torch.float)
2025-03-14T04:34:31.7365239Z 
2025-03-14T04:34:31.7365356Z     >>> dtype_config1.input_dtype
2025-03-14T04:34:31.7365669Z     torch.quint8
2025-03-14T04:34:31.7365817Z 
2025-03-14T04:34:31.7365943Z     >>> dtype_config2.input_dtype
2025-03-14T04:34:31.7366252Z     torch.quint8
2025-03-14T04:34:31.7366400Z 
2025-03-14T04:34:31.7366556Z     >>> dtype_config2.input_dtype_with_constraints
2025-03-14T04:34:31.7367582Z     DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=0, quant_max_upper_bound=255, scale_min_lower_bound=None, scale_max_upper_bound=None)
2025-03-14T04:34:31.7368256Z 
2025-03-14T04:34:31.7368532Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:31.7368915Z 
2025-03-14T04:34:31.8596896Z msg = Cannot scrape callname=ModelReportVisualizer.generate_filtered_tables in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=301.
2025-03-14T04:34:31.8599559Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:31.8600341Z 
2025-03-14T04:34:31.8600877Z Takes in optional filter values and generates two tables with desired information.
2025-03-14T04:34:31.8601665Z 
2025-03-14T04:34:31.8602068Z The generated tables are presented in both a list-of-lists format
2025-03-14T04:34:31.8602726Z 
2025-03-14T04:34:31.8603134Z The reason for the two tables are that they handle different things:
2025-03-14T04:34:31.8604083Z 1.) the first table handles all tensor level information
2025-03-14T04:34:31.8604945Z 2.) the second table handles and displays all channel based information
2025-03-14T04:34:31.8605537Z 
2025-03-14T04:34:31.8606169Z The reasoning for this is that having all the info in one table can make it ambiguous which collected
2025-03-14T04:34:31.8607685Z     statistics are global, and which are actually per-channel, so it's better to split it up into two
2025-03-14T04:34:31.8609408Z     tables. This also makes the information much easier to digest given the plethora of statistics collected
2025-03-14T04:34:31.8610287Z 
2025-03-14T04:34:31.8610459Z Tensor table columns:
2025-03-14T04:34:31.8611120Z     idx  layer_fqn  feature_1   feature_2   feature_3   .... feature_n
2025-03-14T04:34:31.8611960Z     ----  ---------  ---------   ---------   ---------        ---------
2025-03-14T04:34:31.8612484Z 
2025-03-14T04:34:31.8612834Z Per-Channel table columns:
2025-03-14T04:34:31.8613568Z     idx  layer_fqn  channel  feature_1   feature_2   feature_3   .... feature_n
2025-03-14T04:34:31.8614506Z     ----  ---------  -------  ---------   ---------   ---------        ---------
2025-03-14T04:34:31.8615048Z 
2025-03-14T04:34:31.8615210Z Args:
2025-03-14T04:34:31.8615930Z     feature_filter (str, optional): Filters the features presented to only those that
2025-03-14T04:34:31.8616887Z         contain this filter substring
2025-03-14T04:34:31.8617598Z         Default = "", results in all the features being printed
2025-03-14T04:34:31.8618787Z     module_fqn_filter (str, optional): Only includes modules that contains this string
2025-03-14T04:34:31.8619993Z         Default = "", results in all the modules in the reports to be visible in the table
2025-03-14T04:34:31.8620705Z 
2025-03-14T04:34:31.8620931Z Returns a dictionary with two keys:
2025-03-14T04:34:31.8621665Z     (Dict[str, Tuple[List, List]]) A dict containing two keys:
2025-03-14T04:34:31.8622428Z     "tensor_level_info", "channel_level_info"
2025-03-14T04:34:31.8623097Z         Each key maps to a tuple with:
2025-03-14T04:34:31.8623736Z             A list of the headers of each table
2025-03-14T04:34:31.8624511Z             A list of lists containing the table information row by row
2025-03-14T04:34:31.8625413Z             The 0th index row will contain the headers of the columns
2025-03-14T04:34:31.8626212Z             The rest of the rows will contain data
2025-03-14T04:34:31.8626681Z 
2025-03-14T04:34:31.8626864Z Example Use:
2025-03-14T04:34:31.8627356Z     >>> # xdoctest: +SKIP("undefined variables")
2025-03-14T04:34:31.8628101Z     >>> mod_report_visualizer.generate_filtered_tables(
2025-03-14T04:34:31.8628837Z     ...     feature_filter = "per_channel_min",
2025-03-14T04:34:31.8629500Z     ...     module_fqn_filter = "block1"
2025-03-14T04:34:31.8630403Z     ... ) # generates table with per_channel_min info for all modules in block 1 of the model
2025-03-14T04:34:31.8631148Z 
2025-03-14T04:34:31.8631642Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:31.8632379Z 
2025-03-14T04:34:31.8653317Z msg = Cannot scrape callname=ModelReportVisualizer.generate_table_visualization in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=400.
2025-03-14T04:34:31.8656004Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:31.8656771Z 
2025-03-14T04:34:31.8657431Z Takes in optional filter values and prints out formatted tables of the information.
2025-03-14T04:34:31.8658229Z 
2025-03-14T04:34:31.8658882Z The reason for the two tables printed out instead of one large one are that they handle different things:
2025-03-14T04:34:31.8660130Z 1.) the first table handles all tensor level information
2025-03-14T04:34:31.8661054Z 2.) the second table handles and displays all channel based information
2025-03-14T04:34:31.8661667Z 
2025-03-14T04:34:31.8662206Z The reasoning for this is that having all the info in one table can make it ambiguous which collected
2025-03-14T04:34:31.8663671Z     statistics are global, and which are actually per-channel, so it's better to split it up into two
2025-03-14T04:34:31.8665180Z     tables. This also makes the information much easier to digest given the plethora of statistics collected
2025-03-14T04:34:31.8666102Z 
2025-03-14T04:34:31.8666300Z Tensor table columns:
2025-03-14T04:34:31.8667316Z  idx  layer_fqn  feature_1   feature_2   feature_3   .... feature_n
2025-03-14T04:34:31.8668357Z ----  ---------  ---------   ---------   ---------        ---------
2025-03-14T04:34:31.8668870Z 
2025-03-14T04:34:31.8669088Z Per-Channel table columns:
2025-03-14T04:34:31.8669433Z 
2025-03-14T04:34:31.8669869Z  idx  layer_fqn  channel  feature_1   feature_2   feature_3   .... feature_n
2025-03-14T04:34:31.8670808Z ----  ---------  -------  ---------   ---------   ---------        ---------
2025-03-14T04:34:31.8671406Z 
2025-03-14T04:34:31.8671586Z Args:
2025-03-14T04:34:31.8672292Z     feature_filter (str, optional): Filters the features presented to only those that
2025-03-14T04:34:31.8673214Z         contain this filter substring
2025-03-14T04:34:31.8673898Z         Default = "", results in all the features being printed
2025-03-14T04:34:31.8674922Z     module_fqn_filter (str, optional): Only includes modules that contains this string
2025-03-14T04:34:31.8676210Z         Default = "", results in all the modules in the reports to be visible in the table
2025-03-14T04:34:31.8677056Z 
2025-03-14T04:34:31.8677232Z Example Use:
2025-03-14T04:34:31.8677716Z     >>> # xdoctest: +SKIP("undefined variables")
2025-03-14T04:34:31.8678471Z     >>> mod_report_visualizer.generate_table_visualization(
2025-03-14T04:34:31.8679234Z     ...     feature_filter = "per_channel_min",
2025-03-14T04:34:31.8679876Z     ...     module_fqn_filter = "block1"
2025-03-14T04:34:31.8680438Z     ... )
2025-03-14T04:34:31.8681036Z     >>> # prints out neatly formatted table with per_channel_min info
2025-03-14T04:34:31.8681855Z     >>> # for all modules in block 1 of the model
2025-03-14T04:34:31.8682279Z 
2025-03-14T04:34:31.8682756Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:31.8683436Z 
2025-03-14T04:34:31.8685232Z msg = Cannot scrape callname=ModelReportVisualizer.generate_plot_visualization in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=566.
2025-03-14T04:34:31.8687818Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:31.8688582Z 
2025-03-14T04:34:31.8689044Z Takes in a feature and optional module_filter and plots of the desired data.
2025-03-14T04:34:31.8689759Z 
2025-03-14T04:34:31.8690290Z For per channel features, it averages the value across the channels and plots a point
2025-03-14T04:34:31.8691583Z per module. The reason for this is that for models with hundreds of channels, it can
2025-03-14T04:34:31.8692880Z be hard to differentiate one channel line from another, and so the point of generating
2025-03-14T04:34:31.8694211Z a single average point per module is to give a sense of general trends that encourage
2025-03-14T04:34:31.8695168Z further deep dives.
2025-03-14T04:34:31.8695473Z 
2025-03-14T04:34:31.8695637Z Note:
2025-03-14T04:34:31.8696373Z     Only features in the report that have tensor value data are plottable by this class
2025-03-14T04:34:31.8697463Z     When the tensor information is plotted, it will plot:
2025-03-14T04:34:31.8698415Z         idx as the x val, feature value as the y_val
2025-03-14T04:34:31.8699225Z     When the channel information is plotted, it will plot:
2025-03-14T04:34:31.8700282Z         the first idx of each module as the x val, feature value as the y_val [for each channel]
2025-03-14T04:34:31.8701485Z         The reason for this is that we want to be able to compare values across the
2025-03-14T04:34:31.8702648Z         channels for same layer, and it will be hard if values are staggered by idx
2025-03-14T04:34:31.8703677Z         This means each module is represented by only 1 x value
2025-03-14T04:34:31.8704391Z Args:
2025-03-14T04:34:31.8705049Z     feature_filter (str): Filters the features presented to only those that
2025-03-14T04:34:31.8705946Z         contain this filter substring
2025-03-14T04:34:31.8706837Z     module_fqn_filter (str, optional): Only includes modules that contains this string
2025-03-14T04:34:31.8707883Z         Default = "", results in all the modules in the reports to be visible in the table
2025-03-14T04:34:31.8708344Z 
2025-03-14T04:34:31.8708461Z Example Use:
2025-03-14T04:34:31.8708753Z     >>> # xdoctest: +SKIP("undefined variables")
2025-03-14T04:34:31.8709185Z     >>> mod_report_visualizer.generate_plot_visualization(
2025-03-14T04:34:31.8709605Z     ...     feature_filter = "per_channel_min",
2025-03-14T04:34:31.8709981Z     ...     module_fqn_filter = "block1"
2025-03-14T04:34:31.8710341Z     ... )
2025-03-14T04:34:31.8710674Z     >>> # outputs line plot of per_channel_min information for all
2025-03-14T04:34:31.8711181Z     >>> # modules in block1 of model each channel gets it's own line,
2025-03-14T04:34:31.8711691Z     >>> # and it's plotted across the in-order modules on the x-axis
2025-03-14T04:34:31.8712005Z 
2025-03-14T04:34:31.8712269Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:31.8712663Z 
2025-03-14T04:34:31.8714068Z msg = Cannot scrape callname=ModelReportVisualizer.generate_histogram_visualization in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=646.
2025-03-14T04:34:31.8716695Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:31.8717457Z 
2025-03-14T04:34:31.8717994Z Takes in a feature and optional module_filter and plots the histogram of desired data.
2025-03-14T04:34:31.8718767Z 
2025-03-14T04:34:31.8718931Z Note:
2025-03-14T04:34:31.8719665Z     Only features in the report that have tensor value data can be viewed as a histogram
2025-03-14T04:34:31.8720926Z     If you want to plot a histogram from all the channel values of a specific feature for
2025-03-14T04:34:31.8722151Z         a specific model, make sure to specify both the model and the feature properly
2025-03-14T04:34:31.8723303Z         in the filters and you should be able to see a distribution of the channel data
2025-03-14T04:34:31.8724017Z 
2025-03-14T04:34:31.8724185Z Args:
2025-03-14T04:34:31.8724927Z     feature_filter (str, optional): Filters the features presented to only those that
2025-03-14T04:34:31.8725885Z         contain this filter substring
2025-03-14T04:34:31.8726602Z         Default = "", results in all the features being printed
2025-03-14T04:34:31.8727635Z     module_fqn_filter (str, optional): Only includes modules that contains this string
2025-03-14T04:34:31.8728862Z         Default = "", results in all the modules in the reports to be visible in the table
2025-03-14T04:34:31.8730001Z     num_bins (int, optional): The number of bins to create the histogram with
2025-03-14T04:34:31.8731027Z         Default = 10, the values will be split into 10 equal sized bins
2025-03-14T04:34:31.8731629Z 
2025-03-14T04:34:31.8731815Z Example Use:
2025-03-14T04:34:31.8732254Z     >>> # xdoctest: +SKIP
2025-03-14T04:34:31.8733172Z     >>> mod_report_visualizer.generategenerate_histogram_visualization_plot_visualization(
2025-03-14T04:34:31.8734532Z     ...     feature_filter = "per_channel_min",
2025-03-14T04:34:31.8735303Z     ...     module_fqn_filter = "block1"
2025-03-14T04:34:31.8735895Z     ... )
2025-03-14T04:34:31.8736647Z     # outputs histogram of per_channel_min information for all modules in block1 of model
2025-03-14T04:34:31.8737906Z         information is gathered across all channels for all modules in block 1 for the
2025-03-14T04:34:31.8739054Z         per_channel_min and is displayed in a histogram of equally sized bins
2025-03-14T04:34:31.8739697Z 
2025-03-14T04:34:31.8740194Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:31.8740853Z 
2025-03-14T04:34:32.1559971Z msg = Cannot scrape callname=DeviceMesh.__getitem__ in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/device_mesh.py line=666.
2025-03-14T04:34:32.1561921Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-03-14T04:34:32.1562650Z 
2025-03-14T04:34:32.1563188Z Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh.
2025-03-14T04:34:32.1564783Z The submesh created consists of the dimensions and the communicators indicated by
2025-03-14T04:34:32.1565737Z ``mesh_dim_names``
2025-03-14T04:34:32.1566016Z 
2025-03-14T04:34:32.1566185Z Args:
2025-03-14T04:34:32.1566829Z     mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the
2025-03-14T04:34:32.1568244Z     mesh dimension of the DeviceMesh to create the submesh for.
2025-03-14T04:34:32.1569002Z Returns:
2025-03-14T04:34:32.1569410Z     A :class:`DeviceMesh` object
2025-03-14T04:34:32.1569771Z 
2025-03-14T04:34:32.1570312Z The following program runs on each process/rank in an SPMD manner in a world size of 8.
2025-03-14T04:34:32.1571235Z In the first example:
2025-03-14T04:34:32.1572000Z     Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]).
2025-03-14T04:34:32.1573179Z     Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of  DeviceMesh:([4, 5, 6, 7]).
2025-03-14T04:34:32.1574495Z     Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of  DeviceMesh:([0, 4]).
2025-03-14T04:34:32.1575641Z     Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of  DeviceMesh:([1, 5]).
2025-03-14T04:34:32.1576761Z     Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of  DeviceMesh:([2, 6]).
2025-03-14T04:34:32.1577843Z     Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of  DeviceMesh:([3, 7]).
2025-03-14T04:34:32.1578503Z 
2025-03-14T04:34:32.1578690Z In the second example:
2025-03-14T04:34:32.1579515Z     Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]).
2025-03-14T04:34:32.1580741Z     Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]).
2025-03-14T04:34:32.1581951Z     Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]).
2025-03-14T04:34:32.1583190Z     Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]).
2025-03-14T04:34:32.1583920Z 
2025-03-14T04:34:32.1584070Z Example::
2025-03-14T04:34:32.1584330Z     >>> # xdoctest: +SKIP("no rank")
2025-03-14T04:34:32.1584740Z     >>> from torch.distributed.device_mesh import DeviceMesh
2025-03-14T04:34:32.1585146Z     >>>
2025-03-14T04:34:32.1585495Z     >>> # Initialize a 2D device mesh as (2, 4) to represent the topology
2025-03-14T04:34:32.1586002Z     >>> # of cross-host(dim 0), and within-host (dim 1).
2025-03-14T04:34:32.1586537Z     >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-03-14T04:34:32.1587038Z     >>> tp_mesh = mesh_2d["tp"]
2025-03-14T04:34:32.1587348Z     >>> dp_mesh = mesh_2d["dp"]
2025-03-14T04:34:32.1587638Z     >>>
2025-03-14T04:34:32.1587878Z     >>> # Initialize a 3D mesh.
2025-03-14T04:34:32.1588374Z     >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp"))
2025-03-14T04:34:32.1589233Z     >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh.
2025-03-14T04:34:32.1589807Z     >>> dp_cp_mesh = mesh_3d["dp", "cp"]
2025-03-14T04:34:32.1590172Z     >>> cp_dp_mesh = mesh_3d["cp", "dp"]
2025-03-14T04:34:32.1590397Z 
2025-03-14T04:34:32.1591105Z 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))
2025-03-14T04:34:32.1591908Z 
2025-03-14T04:34:32.1592177Z mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-03-14T04:34:32.1592689Z                                                                                  ^
2025-03-14T04:34:32.1903446Z msg = Cannot scrape callname=batch_isend_irecv in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py line=2604.
2025-03-14T04:34:32.1905448Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:32.1906451Z 
2025-03-14T04:34:32.1906968Z Send or Receive a batch of tensors asynchronously and return a list of requests.
2025-03-14T04:34:32.1907689Z 
2025-03-14T04:34:32.1908187Z Process each of the operations in ``p2p_op_list`` and return the corresponding
2025-03-14T04:34:32.1909235Z requests. NCCL, Gloo, and UCC backend are currently supported.
2025-03-14T04:34:32.1909857Z 
2025-03-14T04:34:32.1910014Z Args:
2025-03-14T04:34:32.1910837Z     p2p_op_list: A list of point-to-point operations(type of each operator is
2025-03-14T04:34:32.1911967Z         ``torch.distributed.P2POp``). The order of the isend/irecv in the list
2025-03-14T04:34:32.1912959Z         matters and it needs to match with corresponding isend/irecv on the
2025-03-14T04:34:32.1913684Z         remote end.
2025-03-14T04:34:32.1913978Z 
2025-03-14T04:34:32.1914151Z Returns:
2025-03-14T04:34:32.1914859Z     A list of distributed request objects returned by calling the corresponding
2025-03-14T04:34:32.1915832Z     op in the op_list.
2025-03-14T04:34:32.1916281Z 
2025-03-14T04:34:32.1916462Z Examples:
2025-03-14T04:34:32.1916899Z     >>> # xdoctest: +SKIP("no rank")
2025-03-14T04:34:32.1917665Z     >>> send_tensor = torch.arange(2, dtype=torch.float32) + 2 * rank
2025-03-14T04:34:32.1918548Z     >>> recv_tensor = torch.randn(2, dtype=torch.float32)
2025-03-14T04:34:32.1919480Z     >>> send_op = dist.P2POp(dist.isend, send_tensor, (rank + 1) % world_size)
2025-03-14T04:34:32.1920343Z     >>> recv_op = dist.P2POp(
2025-03-14T04:34:32.1921082Z     ...     dist.irecv, recv_tensor, (rank - 1 + world_size) % world_size
2025-03-14T04:34:32.1921872Z     ... )
2025-03-14T04:34:32.1922361Z     >>> reqs = batch_isend_irecv([send_op, recv_op])
2025-03-14T04:34:32.1923034Z     >>> for req in reqs:
2025-03-14T04:34:32.1923516Z     >>>     req.wait()
2025-03-14T04:34:32.1923994Z     >>> recv_tensor
2025-03-14T04:34:32.1924405Z     tensor([2, 3])     # Rank 0
2025-03-14T04:34:32.1924918Z     tensor([0, 1])     # Rank 1
2025-03-14T04:34:32.1925266Z 
2025-03-14T04:34:32.1925773Z .. note:: Note that when this API is used with the NCCL PG backend, users must set
2025-03-14T04:34:32.1926907Z     the current GPU device with `torch.cuda.set_device`, otherwise it will
2025-03-14T04:34:32.1927801Z     lead to unexpected hang issues.
2025-03-14T04:34:32.1928180Z 
2025-03-14T04:34:32.1928564Z     In addition, if this API is the first collective call in the ``group``
2025-03-14T04:34:32.1929599Z     passed to ``dist.P2POp``, all ranks of the ``group`` must participate in
2025-03-14T04:34:32.1930654Z     this API call; otherwise, the behavior is undefined. If this API call is
2025-03-14T04:34:32.1931759Z     not the first collective call in the ``group``, batched P2P operations
2025-03-14T04:34:32.1932800Z     involving only a subset of ranks of the ``group`` are allowed.
2025-03-14T04:34:32.1933429Z 
2025-03-14T04:34:32.1934185Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:32.1934931Z 
2025-03-14T04:34:32.1936281Z msg = Cannot scrape callname=all_reduce in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py line=2734.
2025-03-14T04:34:32.1938116Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:32.1938838Z 
2025-03-14T04:34:32.1939374Z Reduces the tensor data across all machines in a way that all get the final result.
2025-03-14T04:34:32.1940153Z 
2025-03-14T04:34:32.1940602Z After the call ``tensor`` is going to be bitwise identical in all processes.
2025-03-14T04:34:32.1941286Z 
2025-03-14T04:34:32.1941500Z Complex tensors are supported.
2025-03-14T04:34:32.1941873Z 
2025-03-14T04:34:32.1942013Z Args:
2025-03-14T04:34:32.1942542Z     tensor (Tensor): Input and output of the collective. The function
2025-03-14T04:34:32.1943241Z         operates in-place.
2025-03-14T04:34:32.1943778Z     op (optional): One of the values from
2025-03-14T04:34:32.1944450Z         ``torch.distributed.ReduceOp``
2025-03-14T04:34:32.1945384Z         enum.  Specifies an operation used for element-wise reductions.
2025-03-14T04:34:32.1946440Z     group (ProcessGroup, optional): The process group to work on. If None,
2025-03-14T04:34:32.1947375Z         the default process group will be used.
2025-03-14T04:34:32.1948161Z     async_op (bool, optional): Whether this op should be an async op
2025-03-14T04:34:32.1948730Z 
2025-03-14T04:34:32.1948911Z Returns:
2025-03-14T04:34:32.1949486Z     Async work handle, if async_op is set to True.
2025-03-14T04:34:32.1950263Z     None, if not async_op or if not part of the group
2025-03-14T04:34:32.1950755Z 
2025-03-14T04:34:32.1950942Z Examples:
2025-03-14T04:34:32.1951367Z     >>> # xdoctest: +SKIP("no rank")
2025-03-14T04:34:32.1952024Z     >>> # All tensors below are of torch.int64 type.
2025-03-14T04:34:32.1952704Z     >>> # We have 2 process groups, 2 ranks.
2025-03-14T04:34:32.1953330Z     >>> device = torch.device(f"cuda:{rank}")
2025-03-14T04:34:32.1954177Z     >>> tensor = torch.arange(2, dtype=torch.int64, device=device) + 1 + 2 * rank
2025-03-14T04:34:32.1955190Z     >>> tensor
2025-03-14T04:34:32.1955671Z     tensor([1, 2], device='cuda:0') # Rank 0
2025-03-14T04:34:32.1956325Z     tensor([3, 4], device='cuda:1') # Rank 1
2025-03-14T04:34:32.1956951Z     >>> dist.all_reduce(tensor, op=ReduceOp.SUM)
2025-03-14T04:34:32.1957579Z     >>> tensor
2025-03-14T04:34:32.1958052Z     tensor([4, 6], device='cuda:0') # Rank 0
2025-03-14T04:34:32.1958692Z     tensor([4, 6], device='cuda:1') # Rank 1
2025-03-14T04:34:32.1959104Z 
2025-03-14T04:34:32.1959375Z     >>> # All tensors below are of torch.cfloat type.
2025-03-14T04:34:32.1960099Z     >>> # We have 2 process groups, 2 ranks.
2025-03-14T04:34:32.1960731Z     >>> tensor = torch.tensor(
2025-03-14T04:34:32.1961344Z     ...     [1 + 1j, 2 + 2j], dtype=torch.cfloat, device=device
2025-03-14T04:34:32.1962033Z     ... ) + 2 * rank * (1 + 1j)
2025-03-14T04:34:32.1962561Z     >>> tensor
2025-03-14T04:34:32.1963038Z     tensor([1.+1.j, 2.+2.j], device='cuda:0') # Rank 0
2025-03-14T04:34:32.1963776Z     tensor([3.+3.j, 4.+4.j], device='cuda:1') # Rank 1
2025-03-14T04:34:32.1964484Z     >>> dist.all_reduce(tensor, op=ReduceOp.SUM)
2025-03-14T04:34:32.1965106Z     >>> tensor
2025-03-14T04:34:32.1965616Z     tensor([4.+4.j, 6.+6.j], device='cuda:0') # Rank 0
2025-03-14T04:34:32.1966351Z     tensor([4.+4.j, 6.+6.j], device='cuda:1') # Rank 1
2025-03-14T04:34:32.1966838Z 
2025-03-14T04:34:32.1966847Z 
2025-03-14T04:34:32.1967545Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:32.1968287Z 
2025-03-14T04:34:32.1969449Z msg = Cannot scrape callname=gather_object in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py line=3090.
2025-03-14T04:34:32.1971347Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:32.1972086Z 
2025-03-14T04:34:32.1972503Z Gathers picklable objects from the whole group in a single process.
2025-03-14T04:34:32.1973180Z 
2025-03-14T04:34:32.1973788Z Similar to :func:`gather`, but Python objects can be passed in. Note that the
2025-03-14T04:34:32.1974746Z object must be picklable in order to be gathered.
2025-03-14T04:34:32.1975257Z 
2025-03-14T04:34:32.1975425Z Args:
2025-03-14T04:34:32.1975881Z     obj (Any): Input object. Must be picklable.
2025-03-14T04:34:32.1976743Z     object_gather_list (list[Any]): Output list. On the ``dst`` rank, it
2025-03-14T04:34:32.1977752Z         should be correctly sized as the size of the group for this
2025-03-14T04:34:32.1978729Z         collective and will contain the output. Must be ``None`` on non-dst
2025-03-14T04:34:32.1979560Z         ranks. (default is ``None``)
2025-03-14T04:34:32.1980559Z     dst (int, optional): Destination rank on global process group (regardless of ``group`` argument).
2025-03-14T04:34:32.1981798Z         (If both ``dst`` and ``group_dst`` are None, default is global rank 0)
2025-03-14T04:34:32.1982855Z     group: (ProcessGroup, optional): The process group to work on. If None,
2025-03-14T04:34:32.1984008Z         the default process group will be used. Default is ``None``.
2025-03-14T04:34:32.1985246Z     group_dst (int, optional): Destination rank on ``group``.  Invalid to specify both ``dst`` and ``group_dst``
2025-03-14T04:34:32.1986178Z 
2025-03-14T04:34:32.1986338Z Returns:
2025-03-14T04:34:32.1986882Z     None. On the ``dst`` rank, ``object_gather_list`` will contain the
2025-03-14T04:34:32.1987782Z     output of the collective.
2025-03-14T04:34:32.1988166Z 
2025-03-14T04:34:32.1988562Z .. note:: Note that this API differs slightly from the gather collective
2025-03-14T04:34:32.1989667Z     since it does not provide an async_op handle and thus will be a blocking
2025-03-14T04:34:32.1990512Z     call.
2025-03-14T04:34:32.1990731Z 
2025-03-14T04:34:32.1991200Z .. note:: For NCCL-based processed groups, internal tensor representations
2025-03-14T04:34:32.1992299Z     of objects must be moved to the GPU device before communication takes
2025-03-14T04:34:32.1993304Z     place. In this case, the device used is given by
2025-03-14T04:34:32.1994191Z     ``torch.cuda.current_device()`` and it is the user's responsiblity to
2025-03-14T04:34:32.1995344Z     ensure that this is set so that each rank has an individual GPU, via
2025-03-14T04:34:32.1996208Z     ``torch.cuda.set_device()``.
2025-03-14T04:34:32.1996581Z 
2025-03-14T04:34:32.1996774Z .. warning::
2025-03-14T04:34:32.1997415Z     :func:`gather_object` uses ``pickle`` module implicitly, which is
2025-03-14T04:34:32.1998411Z     known to be insecure. It is possible to construct malicious pickle data
2025-03-14T04:34:32.1999459Z     which will execute arbitrary code during unpickling. Only call this
2025-03-14T04:34:32.2000336Z     function with data you trust.
2025-03-14T04:34:32.2000727Z 
2025-03-14T04:34:32.2000902Z .. warning::
2025-03-14T04:34:32.2001533Z     Calling :func:`gather_object` with GPU tensors is not well supported
2025-03-14T04:34:32.2002641Z     and inefficient as it incurs GPU -> CPU transfer since tensors would be
2025-03-14T04:34:32.2003662Z     pickled. Please consider using :func:`gather` instead.
2025-03-14T04:34:32.2004236Z 
2025-03-14T04:34:32.2004418Z Example::
2025-03-14T04:34:32.2004908Z     >>> # xdoctest: +SKIP("need process group init")
2025-03-14T04:34:32.2005731Z     >>> # Note: Process group initialization omitted on each rank.
2025-03-14T04:34:32.2006528Z     >>> import torch.distributed as dist
2025-03-14T04:34:32.2007179Z     >>> # Assumes world_size of 3.
2025-03-14T04:34:32.2007857Z     >>> gather_objects = ["foo", 12, {1: 2}] # any picklable object
2025-03-14T04:34:32.2008636Z     >>> output = [None for _ in gather_objects]
2025-03-14T04:34:32.2009263Z     >>> dist.gather_object(
2025-03-14T04:34:32.2009812Z     ...     gather_objects[dist.get_rank()],
2025-03-14T04:34:32.2010488Z     ...     output if dist.get_rank() == 0 else None,
2025-03-14T04:34:32.2011123Z     ...     dst=0
2025-03-14T04:34:32.2011541Z     ... )
2025-03-14T04:34:32.2011932Z     >>> # On rank 0
2025-03-14T04:34:32.2012364Z     >>> output
2025-03-14T04:34:32.2012833Z     ['foo', 12, {1: 2}]
2025-03-14T04:34:32.2013099Z 
2025-03-14T04:34:32.2013512Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:32.2014166Z 
2025-03-14T04:34:32.2015360Z msg = Cannot scrape callname=all_gather in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py line=3666.
2025-03-14T04:34:32.2017271Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:32.2018035Z 
2025-03-14T04:34:32.2018304Z Gathers tensors from the whole group in a list.
2025-03-14T04:34:32.2018762Z 
2025-03-14T04:34:32.2019030Z Complex and uneven sized tensors are supported.
2025-03-14T04:34:32.2019510Z 
2025-03-14T04:34:32.2019678Z Args:
2025-03-14T04:34:32.2020238Z     tensor_list (list[Tensor]): Output list. It should contain
2025-03-14T04:34:32.2021226Z         correctly-sized tensors to be used for output of the collective.
2025-03-14T04:34:32.2022217Z         Uneven sized tensors are supported.
2025-03-14T04:34:32.2023028Z     tensor (Tensor): Tensor to be broadcast from current process.
2025-03-14T04:34:32.2024007Z     group (ProcessGroup, optional): The process group to work on. If None,
2025-03-14T04:34:32.2024915Z         the default process group will be used.
2025-03-14T04:34:32.2025721Z     async_op (bool, optional): Whether this op should be an async op
2025-03-14T04:34:32.2026424Z 
2025-03-14T04:34:32.2026594Z Returns:
2025-03-14T04:34:32.2027079Z     Async work handle, if async_op is set to True.
2025-03-14T04:34:32.2027827Z     None, if not async_op or if not part of the group
2025-03-14T04:34:32.2028326Z 
2025-03-14T04:34:32.2028495Z Examples:
2025-03-14T04:34:32.2028980Z     >>> # xdoctest: +SKIP("need process group init")
2025-03-14T04:34:32.2029712Z     >>> # All tensors below are of torch.int64 dtype.
2025-03-14T04:34:32.2030400Z     >>> # We have 2 process groups, 2 ranks.
2025-03-14T04:34:32.2031059Z     >>> device = torch.device(f"cuda:{rank}")
2025-03-14T04:34:32.2031785Z     >>> tensor_list = [
2025-03-14T04:34:32.2032488Z     ...     torch.zeros(2, dtype=torch.int64, device=device) for _ in range(2)
2025-03-14T04:34:32.2033283Z     ... ]
2025-03-14T04:34:32.2033938Z     >>> tensor_list
2025-03-14T04:34:32.2034605Z     [tensor([0, 0], device='cuda:0'), tensor([0, 0], device='cuda:0')] # Rank 0
2025-03-14T04:34:32.2035676Z     [tensor([0, 0], device='cuda:1'), tensor([0, 0], device='cuda:1')] # Rank 1
2025-03-14T04:34:32.2036749Z     >>> tensor = torch.arange(2, dtype=torch.int64, device=device) + 1 + 2 * rank
2025-03-14T04:34:32.2037593Z     >>> tensor
2025-03-14T04:34:32.2038070Z     tensor([1, 2], device='cuda:0') # Rank 0
2025-03-14T04:34:32.2038719Z     tensor([3, 4], device='cuda:1') # Rank 1
2025-03-14T04:34:32.2039325Z     >>> dist.all_gather(tensor_list, tensor)
2025-03-14T04:34:32.2039928Z     >>> tensor_list
2025-03-14T04:34:32.2040572Z     [tensor([1, 2], device='cuda:0'), tensor([3, 4], device='cuda:0')] # Rank 0
2025-03-14T04:34:32.2041600Z     [tensor([1, 2], device='cuda:1'), tensor([3, 4], device='cuda:1')] # Rank 1
2025-03-14T04:34:32.2042226Z 
2025-03-14T04:34:32.2042494Z     >>> # All tensors below are of torch.cfloat dtype.
2025-03-14T04:34:32.2043217Z     >>> # We have 2 process groups, 2 ranks.
2025-03-14T04:34:32.2043825Z     >>> tensor_list = [
2025-03-14T04:34:32.2044520Z     ...     torch.zeros(2, dtype=torch.cfloat, device=device) for _ in range(2)
2025-03-14T04:34:32.2045330Z     ... ]
2025-03-14T04:34:32.2045734Z     >>> tensor_list
2025-03-14T04:34:32.2046490Z     [tensor([0.+0.j, 0.+0.j], device='cuda:0'), tensor([0.+0.j, 0.+0.j], device='cuda:0')] # Rank 0
2025-03-14T04:34:32.2047662Z     [tensor([0.+0.j, 0.+0.j], device='cuda:1'), tensor([0.+0.j, 0.+0.j], device='cuda:1')] # Rank 1
2025-03-14T04:34:32.2048574Z     >>> tensor = torch.tensor(
2025-03-14T04:34:32.2049165Z     ...     [1 + 1j, 2 + 2j], dtype=torch.cfloat, device=device
2025-03-14T04:34:32.2049826Z     ... ) + 2 * rank * (1 + 1j)
2025-03-14T04:34:32.2050332Z     >>> tensor
2025-03-14T04:34:32.2050923Z     tensor([1.+1.j, 2.+2.j], device='cuda:0') # Rank 0
2025-03-14T04:34:32.2051673Z     tensor([3.+3.j, 4.+4.j], device='cuda:1') # Rank 1
2025-03-14T04:34:32.2052355Z     >>> dist.all_gather(tensor_list, tensor)
2025-03-14T04:34:32.2052942Z     >>> tensor_list
2025-03-14T04:34:32.2053702Z     [tensor([1.+1.j, 2.+2.j], device='cuda:0'), tensor([3.+3.j, 4.+4.j], device='cuda:0')] # Rank 0
2025-03-14T04:34:32.2054857Z     [tensor([1.+1.j, 2.+2.j], device='cuda:1'), tensor([3.+3.j, 4.+4.j], device='cuda:1')] # Rank 1
2025-03-14T04:34:32.2055584Z 
2025-03-14T04:34:32.2055593Z 
2025-03-14T04:34:32.2056101Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:32.2056820Z 
2025-03-14T04:34:32.2093489Z msg = Cannot scrape callname=all_to_all_single in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py line=4381.
2025-03-14T04:34:32.2095493Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:32.2096441Z 
2025-03-14T04:34:32.2096948Z Split input tensor and then scatter the split list to all processes in a group.
2025-03-14T04:34:32.2097716Z 
2025-03-14T04:34:32.2098239Z Later the received tensors are concatenated from all the processes in the group
2025-03-14T04:34:32.2099149Z and returned as a single output tensor.
2025-03-14T04:34:32.2099594Z 
2025-03-14T04:34:32.2099908Z Complex tensors are supported.
2025-03-14T04:34:32.2100286Z 
2025-03-14T04:34:32.2100423Z Args:
2025-03-14T04:34:32.2100953Z     output (Tensor): Gathered concatenated output tensor.
2025-03-14T04:34:32.2101727Z     input (Tensor): Input tensor to scatter.
2025-03-14T04:34:32.2102600Z     output_split_sizes: (list[Int], optional): Output split sizes for dim 0
2025-03-14T04:34:32.2103660Z         if specified None or empty, dim 0 of ``output`` tensor must divide
2025-03-14T04:34:32.2104496Z         equally by ``world_size``.
2025-03-14T04:34:32.2105353Z     input_split_sizes: (list[Int], optional): Input split sizes for dim 0
2025-03-14T04:34:32.2106409Z         if specified None or empty, dim 0 of ``input`` tensor must divide
2025-03-14T04:34:32.2107229Z         equally by ``world_size``.
2025-03-14T04:34:32.2108068Z     group (ProcessGroup, optional): The process group to work on. If None,
2025-03-14T04:34:32.2108994Z         the default process group will be used.
2025-03-14T04:34:32.2109840Z     async_op (bool, optional): Whether this op should be an async op.
2025-03-14T04:34:32.2110452Z 
2025-03-14T04:34:32.2110636Z Returns:
2025-03-14T04:34:32.2111133Z     Async work handle, if async_op is set to True.
2025-03-14T04:34:32.2111874Z     None, if not async_op or if not part of the group.
2025-03-14T04:34:32.2112309Z 
2025-03-14T04:34:32.2112485Z .. warning::
2025-03-14T04:34:32.2112959Z     `all_to_all_single` is experimental and subject to change.
2025-03-14T04:34:32.2113474Z 
2025-03-14T04:34:32.2113627Z Examples:
2025-03-14T04:34:32.2114082Z     >>> # xdoctest: +SKIP("Undefined rank")
2025-03-14T04:34:32.2114731Z     >>> input = torch.arange(4) + rank * 4
2025-03-14T04:34:32.2115407Z     >>> input
2025-03-14T04:34:32.2115844Z     tensor([0, 1, 2, 3])     # Rank 0
2025-03-14T04:34:32.2116416Z     tensor([4, 5, 6, 7])     # Rank 1
2025-03-14T04:34:32.2117019Z     tensor([8, 9, 10, 11])   # Rank 2
2025-03-14T04:34:32.2117607Z     tensor([12, 13, 14, 15]) # Rank 3
2025-03-14T04:34:32.2118266Z     >>> output = torch.empty([4], dtype=torch.int64)
2025-03-14T04:34:32.2118995Z     >>> dist.all_to_all_single(output, input)
2025-03-14T04:34:32.2119631Z     >>> output
2025-03-14T04:34:32.2120056Z     tensor([0, 4, 8, 12])    # Rank 0
2025-03-14T04:34:32.2120613Z     tensor([1, 5, 9, 13])    # Rank 1
2025-03-14T04:34:32.2121157Z     tensor([2, 6, 10, 14])   # Rank 2
2025-03-14T04:34:32.2121725Z     tensor([3, 7, 11, 15])   # Rank 3
2025-03-14T04:34:32.2122106Z 
2025-03-14T04:34:32.2122432Z     >>> # Essentially, it is similar to following operation:
2025-03-14T04:34:32.2123358Z     >>> scatter_list = list(input.chunk(world_size))
2025-03-14T04:34:32.2124101Z     >>> gather_list = list(output.chunk(world_size))
2025-03-14T04:34:32.2124752Z     >>> for i in range(world_size):
2025-03-14T04:34:32.2125559Z     >>>     dist.scatter(gather_list[i], scatter_list if i == rank else [], src = i)
2025-03-14T04:34:32.2126199Z 
2025-03-14T04:34:32.2126425Z     >>> # Another example with uneven split
2025-03-14T04:34:32.2127039Z     >>> input
2025-03-14T04:34:32.2127573Z     tensor([0, 1, 2, 3, 4, 5])                                       # Rank 0
2025-03-14T04:34:32.2128369Z     tensor([10, 11, 12, 13, 14, 15, 16, 17, 18])                     # Rank 1
2025-03-14T04:34:32.2129206Z     tensor([20, 21, 22, 23, 24])                                     # Rank 2
2025-03-14T04:34:32.2130066Z     tensor([30, 31, 32, 33, 34, 35, 36])                             # Rank 3
2025-03-14T04:34:32.2130785Z     >>> input_splits
2025-03-14T04:34:32.2131319Z     [2, 2, 1, 1]                                                     # Rank 0
2025-03-14T04:34:32.2132130Z     [3, 2, 2, 2]                                                     # Rank 1
2025-03-14T04:34:32.2132838Z     [2, 1, 1, 1]                                                     # Rank 2
2025-03-14T04:34:32.2133533Z     [2, 2, 2, 1]                                                     # Rank 3
2025-03-14T04:34:32.2134465Z     >>> output_splits
2025-03-14T04:34:32.2135074Z     [2, 3, 2, 2]                                                     # Rank 0
2025-03-14T04:34:32.2135791Z     [2, 2, 1, 2]                                                     # Rank 1
2025-03-14T04:34:32.2136482Z     [1, 2, 1, 2]                                                     # Rank 2
2025-03-14T04:34:32.2137189Z     [1, 2, 1, 1]                                                     # Rank 3
2025-03-14T04:34:32.2137857Z     >>> output = ...
2025-03-14T04:34:32.2138545Z     >>> dist.all_to_all_single(output, input, output_splits, input_splits)
2025-03-14T04:34:32.2139428Z     >>> output
2025-03-14T04:34:32.2139991Z     tensor([ 0,  1, 10, 11, 12, 20, 21, 30, 31])                     # Rank 0
2025-03-14T04:34:32.2140844Z     tensor([ 2,  3, 13, 14, 22, 32, 33])                             # Rank 1
2025-03-14T04:34:32.2141678Z     tensor([ 4, 15, 16, 23, 34, 35])                                 # Rank 2
2025-03-14T04:34:32.2142497Z     tensor([ 5, 17, 18, 24, 36])                                     # Rank 3
2025-03-14T04:34:32.2143063Z 
2025-03-14T04:34:32.2143072Z 
2025-03-14T04:34:32.2143395Z     >>> # Another example with tensors of torch.cfloat type.
2025-03-14T04:34:32.2144124Z     >>> input = torch.tensor(
2025-03-14T04:34:32.2144743Z     ...     [1 + 1j, 2 + 2j, 3 + 3j, 4 + 4j], dtype=torch.cfloat
2025-03-14T04:34:32.2145415Z     ... ) + 4 * rank * (1 + 1j)
2025-03-14T04:34:32.2145943Z     >>> input
2025-03-14T04:34:32.2146536Z     tensor([1+1j, 2+2j, 3+3j, 4+4j])                                # Rank 0
2025-03-14T04:34:32.2147384Z     tensor([5+5j, 6+6j, 7+7j, 8+8j])                                # Rank 1
2025-03-14T04:34:32.2148262Z     tensor([9+9j, 10+10j, 11+11j, 12+12j])                          # Rank 2
2025-03-14T04:34:32.2149199Z     tensor([13+13j, 14+14j, 15+15j, 16+16j])                        # Rank 3
2025-03-14T04:34:32.2150062Z     >>> output = torch.empty([4], dtype=torch.int64)
2025-03-14T04:34:32.2150787Z     >>> dist.all_to_all_single(output, input)
2025-03-14T04:34:32.2151381Z     >>> output
2025-03-14T04:34:32.2151950Z     tensor([1+1j, 5+5j, 9+9j, 13+13j])                              # Rank 0
2025-03-14T04:34:32.2152845Z     tensor([2+2j, 6+6j, 10+10j, 14+14j])                            # Rank 1
2025-03-14T04:34:32.2153731Z     tensor([3+3j, 7+7j, 11+11j, 15+15j])                            # Rank 2
2025-03-14T04:34:32.2154636Z     tensor([4+4j, 8+8j, 12+12j, 16+16j])                            # Rank 3
2025-03-14T04:34:32.2155296Z 
2025-03-14T04:34:32.2155783Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:32.2156500Z 
2025-03-14T04:34:32.2157784Z msg = Cannot scrape callname=all_to_all in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py line=4523.
2025-03-14T04:34:32.2159658Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:32.2160442Z 
2025-03-14T04:34:32.2161110Z Scatters list of input tensors to all processes in a group and return gathered list of tensors in output list.
2025-03-14T04:34:32.2162045Z 
2025-03-14T04:34:32.2162260Z Complex tensors are supported.
2025-03-14T04:34:32.2162650Z 
2025-03-14T04:34:32.2162812Z Args:
2025-03-14T04:34:32.2163453Z     output_tensor_list (list[Tensor]): List of tensors to be gathered one
2025-03-14T04:34:32.2164298Z         per rank.
2025-03-14T04:34:32.2164982Z     input_tensor_list (list[Tensor]): List of tensors to scatter one per rank.
2025-03-14T04:34:32.2166092Z     group (ProcessGroup, optional): The process group to work on. If None,
2025-03-14T04:34:32.2167300Z         the default process group will be used.
2025-03-14T04:34:32.2168151Z     async_op (bool, optional): Whether this op should be an async op.
2025-03-14T04:34:32.2168733Z 
2025-03-14T04:34:32.2168908Z Returns:
2025-03-14T04:34:32.2169372Z     Async work handle, if async_op is set to True.
2025-03-14T04:34:32.2170085Z     None, if not async_op or if not part of the group.
2025-03-14T04:34:32.2170517Z 
2025-03-14T04:34:32.2170688Z .. warning::
2025-03-14T04:34:32.2171187Z     `all_to_all` is experimental and subject to change.
2025-03-14T04:34:32.2171464Z 
2025-03-14T04:34:32.2171576Z Examples:
2025-03-14T04:34:32.2171847Z     >>> # xdoctest: +SKIP("Undefined rank")
2025-03-14T04:34:32.2172217Z     >>> input = torch.arange(4) + rank * 4
2025-03-14T04:34:32.2172560Z     >>> input = list(input.chunk(4))
2025-03-14T04:34:32.2172884Z     >>> input
2025-03-14T04:34:32.2173209Z     [tensor([0]), tensor([1]), tensor([2]), tensor([3])]     # Rank 0
2025-03-14T04:34:32.2173689Z     [tensor([4]), tensor([5]), tensor([6]), tensor([7])]     # Rank 1
2025-03-14T04:34:32.2174227Z     [tensor([8]), tensor([9]), tensor([10]), tensor([11])]   # Rank 2
2025-03-14T04:34:32.2174704Z     [tensor([12]), tensor([13]), tensor([14]), tensor([15])] # Rank 3
2025-03-14T04:34:32.2175200Z     >>> output = list(torch.empty([4], dtype=torch.int64).chunk(4))
2025-03-14T04:34:32.2175640Z     >>> dist.all_to_all(output, input)
2025-03-14T04:34:32.2175970Z     >>> output
2025-03-14T04:34:32.2176293Z     [tensor([0]), tensor([4]), tensor([8]), tensor([12])]    # Rank 0
2025-03-14T04:34:32.2176771Z     [tensor([1]), tensor([5]), tensor([9]), tensor([13])]    # Rank 1
2025-03-14T04:34:32.2177467Z     [tensor([2]), tensor([6]), tensor([10]), tensor([14])]   # Rank 2
2025-03-14T04:34:32.2178288Z     [tensor([3]), tensor([7]), tensor([11]), tensor([15])]   # Rank 3
2025-03-14T04:34:32.2178785Z 
2025-03-14T04:34:32.2179092Z     >>> # Essentially, it is similar to following operation:
2025-03-14T04:34:32.2179793Z     >>> scatter_list = input
2025-03-14T04:34:32.2180327Z     >>> gather_list = output
2025-03-14T04:34:32.2180846Z     >>> for i in range(world_size):
2025-03-14T04:34:32.2181593Z     >>>     dist.scatter(gather_list[i], scatter_list if i == rank else [], src=i)
2025-03-14T04:34:32.2182195Z 
2025-03-14T04:34:32.2182364Z     >>> input
2025-03-14T04:34:32.2182852Z     tensor([0, 1, 2, 3, 4, 5])                                       # Rank 0
2025-03-14T04:34:32.2183635Z     tensor([10, 11, 12, 13, 14, 15, 16, 17, 18])                     # Rank 1
2025-03-14T04:34:32.2184373Z     tensor([20, 21, 22, 23, 24])                                     # Rank 2
2025-03-14T04:34:32.2185107Z     tensor([30, 31, 32, 33, 34, 35, 36])                             # Rank 3
2025-03-14T04:34:32.2185732Z     >>> input_splits
2025-03-14T04:34:32.2186207Z     [2, 2, 1, 1]                                                     # Rank 0
2025-03-14T04:34:32.2186833Z     [3, 2, 2, 2]                                                     # Rank 1
2025-03-14T04:34:32.2187677Z     [2, 1, 1, 1]                                                     # Rank 2
2025-03-14T04:34:32.2188410Z     [2, 2, 2, 1]                                                     # Rank 3
2025-03-14T04:34:32.2189082Z     >>> output_splits
2025-03-14T04:34:32.2189604Z     [2, 3, 2, 2]                                                     # Rank 0
2025-03-14T04:34:32.2190281Z     [2, 2, 1, 2]                                                     # Rank 1
2025-03-14T04:34:32.2190985Z     [1, 2, 1, 2]                                                     # Rank 2
2025-03-14T04:34:32.2191680Z     [1, 2, 1, 1]                                                     # Rank 3
2025-03-14T04:34:32.2192378Z     >>> input = list(input.split(input_splits))
2025-03-14T04:34:32.2193006Z     >>> input
2025-03-14T04:34:32.2193653Z     [tensor([0, 1]), tensor([2, 3]), tensor([4]), tensor([5])]                   # Rank 0
2025-03-14T04:34:32.2194669Z     [tensor([10, 11, 12]), tensor([13, 14]), tensor([15, 16]), tensor([17, 18])] # Rank 1
2025-03-14T04:34:32.2195884Z     [tensor([20, 21]), tensor([22]), tensor([23]), tensor([24])]                 # Rank 2
2025-03-14T04:34:32.2196896Z     [tensor([30, 31]), tensor([32, 33]), tensor([34, 35]), tensor([36])]         # Rank 3
2025-03-14T04:34:32.2197706Z     >>> output = ...
2025-03-14T04:34:32.2198215Z     >>> dist.all_to_all(output, input)
2025-03-14T04:34:32.2198734Z     >>> output
2025-03-14T04:34:32.2199392Z     [tensor([0, 1]), tensor([10, 11, 12]), tensor([20, 21]), tensor([30, 31])]   # Rank 0
2025-03-14T04:34:32.2200251Z     [tensor([2, 3]), tensor([13, 14]), tensor([22]), tensor([32, 33])]           # Rank 1
2025-03-14T04:34:32.2201161Z     [tensor([4]), tensor([15, 16]), tensor([23]), tensor([34, 35])]              # Rank 2
2025-03-14T04:34:32.2202118Z     [tensor([5]), tensor([17, 18]), tensor([24]), tensor([36])]                  # Rank 3
2025-03-14T04:34:32.2202570Z 
2025-03-14T04:34:32.2202758Z     >>> # Another example with tensors of torch.cfloat type.
2025-03-14T04:34:32.2203174Z     >>> input = torch.tensor(
2025-03-14T04:34:32.2203595Z     ...     [1 + 1j, 2 + 2j, 3 + 3j, 4 + 4j], dtype=torch.cfloat
2025-03-14T04:34:32.2203973Z     ... ) + 4 * rank * (1 + 1j)
2025-03-14T04:34:32.2204279Z     >>> input = list(input.chunk(4))
2025-03-14T04:34:32.2204611Z     >>> input
2025-03-14T04:34:32.2204987Z     [tensor([1+1j]), tensor([2+2j]), tensor([3+3j]), tensor([4+4j])]            # Rank 0
2025-03-14T04:34:32.2205563Z     [tensor([5+5j]), tensor([6+6j]), tensor([7+7j]), tensor([8+8j])]            # Rank 1
2025-03-14T04:34:32.2206142Z     [tensor([9+9j]), tensor([10+10j]), tensor([11+11j]), tensor([12+12j])]      # Rank 2
2025-03-14T04:34:32.2206728Z     [tensor([13+13j]), tensor([14+14j]), tensor([15+15j]), tensor([16+16j])]    # Rank 3
2025-03-14T04:34:32.2207283Z     >>> output = list(torch.empty([4], dtype=torch.int64).chunk(4))
2025-03-14T04:34:32.2207724Z     >>> dist.all_to_all(output, input)
2025-03-14T04:34:32.2208058Z     >>> output
2025-03-14T04:34:32.2208689Z     [tensor([1+1j]), tensor([5+5j]), tensor([9+9j]), tensor([13+13j])]          # Rank 0
2025-03-14T04:34:32.2209699Z     [tensor([2+2j]), tensor([6+6j]), tensor([10+10j]), tensor([14+14j])]        # Rank 1
2025-03-14T04:34:32.2210696Z     [tensor([3+3j]), tensor([7+7j]), tensor([11+11j]), tensor([15+15j])]        # Rank 2
2025-03-14T04:34:32.2211611Z     [tensor([4+4j]), tensor([8+8j]), tensor([12+12j]), tensor([16+16j])]        # Rank 3
2025-03-14T04:34:32.2211976Z 
2025-03-14T04:34:32.2211986Z 
2025-03-14T04:34:32.2212258Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:32.2212657Z 
2025-03-14T04:34:32.2213222Z msg = Cannot scrape callname=__doc__ in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/launch.py line=2.
2025-03-14T04:34:32.2214116Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:32.2214511Z 
2025-03-14T04:34:32.2214656Z Module ``torch.distributed.launch``.
2025-03-14T04:34:32.2214884Z 
2025-03-14T04:34:32.2215255Z ``torch.distributed.launch`` is a module that spawns up multiple distributed
2025-03-14T04:34:32.2215802Z training processes on each of the training nodes.
2025-03-14T04:34:32.2216073Z 
2025-03-14T04:34:32.2216198Z .. warning::
2025-03-14T04:34:32.2216335Z 
2025-03-14T04:34:32.2216617Z     This module is going to be deprecated in favor of :ref:`torchrun <launcher-api>`.
2025-03-14T04:34:32.2217230Z 
2025-03-14T04:34:32.2217671Z The utility can be used for single-node distributed training, in which one or
2025-03-14T04:34:32.2218780Z more processes per node will be spawned. The utility can be used for either
2025-03-14T04:34:32.2219841Z CPU training or GPU training. If the utility is used for GPU training,
2025-03-14T04:34:32.2220950Z each distributed process will be operating on a single GPU. This can achieve
2025-03-14T04:34:32.2222069Z well-improved single-node training performance. It can also be used in
2025-03-14T04:34:32.2223245Z multi-node distributed training, by spawning up multiple processes on each node
2025-03-14T04:34:32.2224550Z for well-improved multi-node distributed training performance as well.
2025-03-14T04:34:32.2225654Z This will especially be beneficial for systems with multiple Infiniband
2025-03-14T04:34:32.2226709Z interfaces that have direct-GPU support, since all of them can be utilized for
2025-03-14T04:34:32.2227598Z aggregated communication bandwidth.
2025-03-14T04:34:32.2228003Z 
2025-03-14T04:34:32.2228539Z In both cases of single-node distributed training or multi-node distributed
2025-03-14T04:34:32.2229663Z training, this utility will launch the given number of processes per node
2025-03-14T04:34:32.2230781Z (``--nproc-per-node``). If used for GPU training, this number needs to be less
2025-03-14T04:34:32.2231878Z or equal to the number of GPUs on the current system (``nproc_per_node``),
2025-03-14T04:34:32.2232911Z and each process will be operating on a single GPU from *GPU 0 to
2025-03-14T04:34:32.2233998Z GPU (nproc_per_node - 1)*.
2025-03-14T04:34:32.2234480Z 
2025-03-14T04:34:32.2234664Z **How to use this module:**
2025-03-14T04:34:32.2234990Z 
2025-03-14T04:34:32.2235299Z 1. Single-Node multi-process distributed training
2025-03-14T04:34:32.2235597Z 
2025-03-14T04:34:32.2235700Z ::
2025-03-14T04:34:32.2235819Z 
2025-03-14T04:34:32.2236086Z     python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE
2025-03-14T04:34:32.2236669Z                YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3 and all other
2025-03-14T04:34:32.2237125Z                arguments of your training script)
2025-03-14T04:34:32.2237371Z 
2025-03-14T04:34:32.2237608Z 2. Multi-Node multi-process distributed training: (e.g. two nodes)
2025-03-14T04:34:32.2237943Z 
2025-03-14T04:34:32.2237947Z 
2025-03-14T04:34:32.2238114Z Node 1: *(IP: 192.168.1.1, and has a free port: 1234)*
2025-03-14T04:34:32.2238377Z 
2025-03-14T04:34:32.2238483Z ::
2025-03-14T04:34:32.2238601Z 
2025-03-14T04:34:32.2238863Z     python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE
2025-03-14T04:34:32.2239411Z                --nnodes=2 --node-rank=0 --master-addr="192.168.1.1"
2025-03-14T04:34:32.2239922Z                --master-port=1234 YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3
2025-03-14T04:34:32.2240429Z                and all other arguments of your training script)
2025-03-14T04:34:32.2240843Z 
2025-03-14T04:34:32.2241008Z Node 2:
2025-03-14T04:34:32.2241222Z 
2025-03-14T04:34:32.2241397Z ::
2025-03-14T04:34:32.2241587Z 
2025-03-14T04:34:32.2242018Z     python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE
2025-03-14T04:34:32.2242955Z                --nnodes=2 --node-rank=1 --master-addr="192.168.1.1"
2025-03-14T04:34:32.2243857Z                --master-port=1234 YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3
2025-03-14T04:34:32.2244749Z                and all other arguments of your training script)
2025-03-14T04:34:32.2245257Z 
2025-03-14T04:34:32.2245574Z 3. To look up what optional arguments this module offers:
2025-03-14T04:34:32.2246076Z 
2025-03-14T04:34:32.2246252Z ::
2025-03-14T04:34:32.2246458Z 
2025-03-14T04:34:32.2246831Z     python -m torch.distributed.launch --help
2025-03-14T04:34:32.2247307Z 
2025-03-14T04:34:32.2247314Z 
2025-03-14T04:34:32.2247521Z **Important Notices:**
2025-03-14T04:34:32.2247813Z 
2025-03-14T04:34:32.2248173Z 1. This utility and multi-process distributed (single-node or
2025-03-14T04:34:32.2249213Z multi-node) GPU training currently only achieves the best performance using
2025-03-14T04:34:32.2250368Z the NCCL distributed backend. Thus NCCL backend is the recommended backend to
2025-03-14T04:34:32.2251232Z use for GPU training.
2025-03-14T04:34:32.2251547Z 
2025-03-14T04:34:32.2251962Z 2. In your training program, you must parse the command-line argument:
2025-03-14T04:34:32.2253054Z ``--local-rank=LOCAL_PROCESS_RANK``, which will be provided by this module.
2025-03-14T04:34:32.2254158Z If your training program uses GPUs, you should ensure that your code only
2025-03-14T04:34:32.2255183Z runs on the GPU device of LOCAL_PROCESS_RANK. This can be done by:
2025-03-14T04:34:32.2255915Z 
2025-03-14T04:34:32.2256113Z Parsing the local_rank argument
2025-03-14T04:34:32.2256489Z 
2025-03-14T04:34:32.2256654Z ::
2025-03-14T04:34:32.2256869Z 
2025-03-14T04:34:32.2257050Z     >>> # xdoctest: +SKIP
2025-03-14T04:34:32.2257554Z     >>> import argparse
2025-03-14T04:34:32.2258081Z     >>> parser = argparse.ArgumentParser()
2025-03-14T04:34:32.2258936Z     >>> parser.add_argument("--local-rank", "--local_rank", type=int)
2025-03-14T04:34:32.2259749Z     >>> args = parser.parse_args()
2025-03-14T04:34:32.2260159Z 
2025-03-14T04:34:32.2260391Z Set your device to local rank using either
2025-03-14T04:34:32.2260844Z 
2025-03-14T04:34:32.2260999Z ::
2025-03-14T04:34:32.2261196Z 
2025-03-14T04:34:32.2261608Z     >>> torch.cuda.set_device(args.local_rank)  # before your code runs
2025-03-14T04:34:32.2262185Z 
2025-03-14T04:34:32.2262353Z or
2025-03-14T04:34:32.2262552Z 
2025-03-14T04:34:32.2262709Z ::
2025-03-14T04:34:32.2262916Z 
2025-03-14T04:34:32.2263186Z     >>> with torch.cuda.device(args.local_rank):
2025-03-14T04:34:32.2263911Z     >>>    # your code to run
2025-03-14T04:34:32.2264404Z     >>>    ...
2025-03-14T04:34:32.2264656Z 
2025-03-14T04:34:32.2264869Z .. versionchanged:: 2.0.0
2025-03-14T04:34:32.2265189Z 
2025-03-14T04:34:32.2265651Z     The launcher will passes the ``--local-rank=<rank>`` argument to your script.
2025-03-14T04:34:32.2266789Z     From PyTorch 2.0.0 onwards, the dashed ``--local-rank`` is preferred over the
2025-03-14T04:34:32.2267941Z     previously used underscored ``--local_rank``.
2025-03-14T04:34:32.2268417Z 
2025-03-14T04:34:32.2268882Z     For backward compatibility, it may be necessary for users to handle both
2025-03-14T04:34:32.2270070Z     cases in their argument parsing code. This means including both ``"--local-rank"``
2025-03-14T04:34:32.2271229Z     and ``"--local_rank"`` in the argument parser. If only ``"--local_rank"`` is
2025-03-14T04:34:32.2272372Z     provided, the launcher will trigger an error: "error: unrecognized arguments:
2025-03-14T04:34:32.2273580Z     --local-rank=<rank>". For training code that only supports PyTorch 2.0.0+,
2025-03-14T04:34:32.2274506Z     including ``"--local-rank"`` should be sufficient.
2025-03-14T04:34:32.2274992Z 
2025-03-14T04:34:32.2275488Z 3. In your training program, you are supposed to call the following function
2025-03-14T04:34:32.2276146Z at the beginning to start the distributed backend. It is strongly recommended
2025-03-14T04:34:32.2276785Z that ``init_method=env://``. Other init methods (e.g. ``tcp://``) may work,
2025-03-14T04:34:32.2277350Z but ``env://`` is the one that is officially supported by this module.
2025-03-14T04:34:32.2277684Z 
2025-03-14T04:34:32.2277786Z ::
2025-03-14T04:34:32.2277922Z 
2025-03-14T04:34:32.2278140Z     >>> torch.distributed.init_process_group(backend='YOUR BACKEND',
2025-03-14T04:34:32.2278627Z     >>>                                      init_method='env://')
2025-03-14T04:34:32.2278896Z 
2025-03-14T04:34:32.2279147Z 4. In your training program, you can either use regular distributed functions
2025-03-14T04:34:32.2279878Z or use :func:`torch.nn.parallel.DistributedDataParallel` module. If your
2025-03-14T04:34:32.2280473Z training program uses GPUs for training and you would like to use
2025-03-14T04:34:32.2281021Z :func:`torch.nn.parallel.DistributedDataParallel` module,
2025-03-14T04:34:32.2281459Z here is how to configure it.
2025-03-14T04:34:32.2281667Z 
2025-03-14T04:34:32.2281763Z ::
2025-03-14T04:34:32.2281899Z 
2025-03-14T04:34:32.2282248Z     >>> model = torch.nn.parallel.DistributedDataParallel(model,
2025-03-14T04:34:32.2283057Z     >>>                                                   device_ids=[args.local_rank],
2025-03-14T04:34:32.2283796Z     >>>                                                   output_device=args.local_rank)
2025-03-14T04:34:32.2284319Z 
2025-03-14T04:34:32.2284804Z Please ensure that ``device_ids`` argument is set to be the only GPU device id
2025-03-14T04:34:32.2285867Z that your code will be operating on. This is generally the local rank of the
2025-03-14T04:34:32.2287126Z process. In other words, the ``device_ids`` needs to be ``[args.local_rank]``,
2025-03-14T04:34:32.2288233Z and ``output_device`` needs to be ``args.local_rank`` in order to use this
2025-03-14T04:34:32.2289043Z utility
2025-03-14T04:34:32.2289258Z 
2025-03-14T04:34:32.2289743Z 5. Another way to pass ``local_rank`` to the subprocesses via environment variable
2025-03-14T04:34:32.2290965Z ``LOCAL_RANK``. This behavior is enabled when you launch the script with
2025-03-14T04:34:32.2292004Z ``--use-env=True``. You must adjust the subprocess example above to replace
2025-03-14T04:34:32.2293017Z ``args.local_rank`` with ``os.environ['LOCAL_RANK']``; the launcher
2025-03-14T04:34:32.2293892Z will not pass ``--local-rank`` when you specify this flag.
2025-03-14T04:34:32.2294441Z 
2025-03-14T04:34:32.2294630Z .. warning::
2025-03-14T04:34:32.2294877Z 
2025-03-14T04:34:32.2295270Z     ``local_rank`` is NOT globally unique: it is only unique per process
2025-03-14T04:34:32.2296349Z     on a machine.  Thus, don't use it to decide if you should, e.g.,
2025-03-14T04:34:32.2297147Z     write to a networked filesystem.  See
2025-03-14T04:34:32.2297980Z     https://github.com/pytorch/pytorch/issues/12042 for an example of
2025-03-14T04:34:32.2298894Z     how things can go wrong if you don't do this correctly.
2025-03-14T04:34:32.2299399Z 
2025-03-14T04:34:32.2299407Z 
2025-03-14T04:34:32.2299414Z 
2025-03-14T04:34:32.2299426Z 
2025-03-14T04:34:32.2299908Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:32.2300611Z 
2025-03-14T04:34:32.2886256Z msg = Cannot scrape callname=init_from_local_shards in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_shard/sharded_tensor/__init__.py line=361.
2025-03-14T04:34:32.2888383Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:32.2889145Z 
2025-03-14T04:34:32.2889624Z Creates an :class:`ShardedTensor` from local shards and the global metadata.
2025-03-14T04:34:32.2890652Z Needs to be called on all ranks in an SPMD fashion.
2025-03-14T04:34:32.2891147Z 
2025-03-14T04:34:32.2891319Z Args:
2025-03-14T04:34:32.2892069Z     local_shards (List[:class `torch.distributed._shard.sharded_tensor.Shard`]): A list
2025-03-14T04:34:32.2893161Z         of shards that represent the local shards on this rank.
2025-03-14T04:34:32.2894126Z     global_size (int...):  a list, tuple, or `torch.Size` of integers defining the
2025-03-14T04:34:32.2895030Z         shape of the overall sharded tensor.
2025-03-14T04:34:32.2895468Z 
2025-03-14T04:34:32.2895645Z Keyword args:
2025-03-14T04:34:32.2896386Z     process_group (ProcessGroup, optional): The process group to work on. If None,
2025-03-14T04:34:32.2897340Z         the default process group will be used.
2025-03-14T04:34:32.2898044Z     init_rrefs (bool, optional): Whether or not to initialize
2025-03-14T04:34:32.2898583Z         :class:`torch.distributed.rpc.RRef`s pointing to remote shards.
2025-03-14T04:34:32.2899273Z         Need to initialize the RPC Framework if specified as ``True``.
2025-03-14T04:34:32.2899705Z         Default: ``False``.
2025-03-14T04:34:32.2899907Z 
2025-03-14T04:34:32.2900007Z Returns:
2025-03-14T04:34:32.2900307Z     A :class:`ShardedTensor` object handle on this rank
2025-03-14T04:34:32.2900600Z 
2025-03-14T04:34:32.2900605Z 
2025-03-14T04:34:32.2900702Z Examples:
2025-03-14T04:34:32.2901111Z     Suppose we want construct a sharded tensor on two ranks, global size = (10, 5),
2025-03-14T04:34:32.2901696Z     each shard have a (5, 5) local tensor, we can do it like below:
2025-03-14T04:34:32.2902015Z 
2025-03-14T04:34:32.2902111Z     on rank 0:
2025-03-14T04:34:32.2902393Z     >>> # xdoctest: +SKIP("not distributed")
2025-03-14T04:34:32.2902772Z     >>> local_shard_metadata = ShardMetadata(
2025-03-14T04:34:32.2903130Z     >>>     shard_offsets=[0, 0],
2025-03-14T04:34:32.2903447Z     >>>     shard_lengths=[5, 5],
2025-03-14T04:34:32.2904019Z     >>>     placement="rank:0/cuda:0"
2025-03-14T04:34:32.2904659Z     >>> )
2025-03-14T04:34:32.2905232Z     >>> local_shards = [Shard(torch.randn(5, 5), local_shard_metadata)]
2025-03-14T04:34:32.2906135Z     >>> sharded_tensor = init_from_local_shards(local_shards, [10, 5])
2025-03-14T04:34:32.2906466Z 
2025-03-14T04:34:32.2906575Z     on rank 1:
2025-03-14T04:34:32.2906856Z     >>> # xdoctest: +SKIP("not distributed")
2025-03-14T04:34:32.2907331Z     >>> local_shard_metadata = ShardMetadata(
2025-03-14T04:34:32.2907695Z     >>>     shard_offsets=[5, 0],
2025-03-14T04:34:32.2908016Z     >>>     shard_lengths=[5, 5],
2025-03-14T04:34:32.2908351Z     >>>     placement="rank:1/cuda:1"
2025-03-14T04:34:32.2908660Z     >>> )
2025-03-14T04:34:32.2909009Z     >>> local_shards = [Shard(torch.randn(5, 5), local_shard_metadata)]
2025-03-14T04:34:32.2909544Z     >>> sharded_tensor = init_from_local_shards(local_shards, [10, 5])
2025-03-14T04:34:32.2909879Z 
2025-03-14T04:34:32.2910145Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:32.2910621Z 
2025-03-14T04:34:32.3016545Z msg = Cannot scrape callname=ShardedTensor._init_from_local_tensor in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_shard/sharded_tensor/api.py line=799.
2025-03-14T04:34:32.3018849Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:32.3019623Z 
2025-03-14T04:34:32.3020150Z Initialize a ShardedTensor given only one local tensor, global sharded tensor
2025-03-14T04:34:32.3021067Z size and sharding spec on each rank.
2025-03-14T04:34:32.3021486Z 
2025-03-14T04:34:32.3021658Z Args:
2025-03-14T04:34:32.3022277Z     local_tensor (Tensor): Single tensor of local shard stored in each rank.
2025-03-14T04:34:32.3023433Z     sharding_spec (:class:`torch.distributed._shard.sharding_spec.ShardingSpec`):
2025-03-14T04:34:32.3024518Z         The specification describing how to shard the Tensor.
2025-03-14T04:34:32.3025394Z     global_size (Sequence[int]): Size of the sharded tensor.
2025-03-14T04:34:32.3026442Z     process_group (ProcessGroup, optional): The process group to aggregate on.
2025-03-14T04:34:32.3027258Z         Default: None
2025-03-14T04:34:32.3027834Z     init_rrefs (bool, optional): Whether or not to initialize
2025-03-14T04:34:32.3028770Z         :class:`torch.distributed.rpc.RRef`s pointing to remote shards.
2025-03-14T04:34:32.3029781Z         Need to initialize the RPC Framework if specified as ``True``.
2025-03-14T04:34:32.3030574Z         Default: ``False``.
2025-03-14T04:34:32.3030922Z 
2025-03-14T04:34:32.3031088Z Returns:
2025-03-14T04:34:32.3031772Z     A :class:`ShardedTensor` sharded based on the given sharding_spec with local
2025-03-14T04:34:32.3032616Z         tensor stored in the current rank.
2025-03-14T04:34:32.3032883Z 
2025-03-14T04:34:32.3032987Z Examples:
2025-03-14T04:34:32.3033238Z     >>> # xdoctest: +SKIP
2025-03-14T04:34:32.3033579Z     >>> # All tensors below are of torch.int64 type.
2025-03-14T04:34:32.3034227Z     >>> # We have 2 process groups, 2 ranks.
2025-03-14T04:34:32.3034812Z     >>> tensor = torch.arange(2, dtype=torch.int64) + 1 + 2 * rank
2025-03-14T04:34:32.3035407Z     >>> local_tensor = torch.unsqueeze(torch.cat([tensor, tensor + 2]))
2025-03-14T04:34:32.3035851Z     >>> local_tensor
2025-03-14T04:34:32.3036134Z     tensor([[1, 2, 3, 4]]) # Rank 0
2025-03-14T04:34:32.3036465Z     tensor([[3, 4, 5, 6]]) # Rank 1
2025-03-14T04:34:32.3036770Z     >>> sharding_dim = 0
2025-03-14T04:34:32.3037085Z     >>> sharding_spec = ChunkShardingSpec(
2025-03-14T04:34:32.3037439Z             dim=sharding_dim,
2025-03-14T04:34:32.3037739Z             placements=[
2025-03-14T04:34:32.3038024Z                 "rank:0/cuda:0",
2025-03-14T04:34:32.3038332Z                 "rank:1/cuda:1",
2025-03-14T04:34:32.3038626Z             ],
2025-03-14T04:34:32.3039044Z         )
2025-03-14T04:34:32.3039462Z     >>> st = ShardedTensor._init_from_local_tensor(
2025-03-14T04:34:32.3040138Z     ...     local_tensor, sharding_spec, [2, 4]
2025-03-14T04:34:32.3040876Z     ... )
2025-03-14T04:34:32.3041272Z     >>> st
2025-03-14T04:34:32.3041658Z     ShardedTensor(
2025-03-14T04:34:32.3042126Z         ShardedTensorMetadata(
2025-03-14T04:34:32.3042665Z             shards_metadata=[
2025-03-14T04:34:32.3043478Z                 ShardMetadata(shard_offsets=[0, 0], shard_sizes=[1, 4], placement=rank:0/cuda:0),
2025-03-14T04:34:32.3044635Z                 ShardMetadata(shard_offsets=[1, 0], shard_sizes=[1, 4], placement=rank:1/cuda:1),
2025-03-14T04:34:32.3045143Z             ],
2025-03-14T04:34:32.3045408Z             size=torch.Size([2, 4])
2025-03-14T04:34:32.3045726Z     )
2025-03-14T04:34:32.3045966Z     >>> st.local_tensor()
2025-03-14T04:34:32.3046256Z     tensor([1, 2, 3, 4]) # Rank 0
2025-03-14T04:34:32.3046568Z     tensor([3, 4, 5, 6]) # Rank 1
2025-03-14T04:34:32.3046779Z 
2025-03-14T04:34:32.3047060Z Warning: This API is experimental and subject to change. It lacks of a fully across
2025-03-14T04:34:32.3047723Z          rank validations, and we only validate the local shard on the current rank.
2025-03-14T04:34:32.3048394Z          We fully rely on the user to ensure local tensor is sharded based on the
2025-03-14T04:34:32.3048856Z          sharding spec.
2025-03-14T04:34:32.3049028Z 
2025-03-14T04:34:32.3049310Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:32.3049690Z 
2025-03-14T04:34:32.3051111Z msg = Cannot scrape callname=ShardedTensor.reshard in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_shard/sharded_tensor/api.py line=1040.
2025-03-14T04:34:32.3053078Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:32.3053501Z 
2025-03-14T04:34:32.3053770Z Reshard a sharded tensor given the ``resharding_spec``. For now, we only support
2025-03-14T04:34:32.3054271Z single local shard.
2025-03-14T04:34:32.3054444Z 
2025-03-14T04:34:32.3054682Z If ``resharding_spec`` is same as the original one, this becomes a no-op.
2025-03-14T04:34:32.3055305Z If only ``resharding_spec`` shares the same sharding dim with the original one,
2025-03-14T04:34:32.3055804Z we swap local shards directly.
2025-03-14T04:34:32.3056286Z For more generic cases, we merge different shards across different ranks and split
2025-03-14T04:34:32.3056949Z the local shards based on the ``resharding_spec`` via `all_to_all` collective API.
2025-03-14T04:34:32.3057344Z 
2025-03-14T04:34:32.3057437Z Args:
2025-03-14T04:34:32.3057875Z     resharding_spec (:class:`torch.distributed._shard.sharding_spec.ShardingSpec`): The
2025-03-14T04:34:32.3058777Z         specification describing how the tensor is sharded.
2025-03-14T04:34:32.3059299Z 
2025-03-14T04:34:32.3059457Z Returns:
2025-03-14T04:34:32.3060063Z     A :class:`ShardedTensor` object whose local shards are resharded.
2025-03-14T04:34:32.3060677Z 
2025-03-14T04:34:32.3060850Z Examples:
2025-03-14T04:34:32.3061265Z     >>> # xdoctest: +SKIP
2025-03-14T04:34:32.3061804Z     >>> # We have 2 process groups, 2 ranks.
2025-03-14T04:34:32.3062664Z     >>> tensor = torch.arange(4, dtype=torch.int64) + 1 + 2 * rank
2025-03-14T04:34:32.3063469Z     >>> tensor = torch.stack([tensor, tensor])
2025-03-14T04:34:32.3064069Z     >>> tensor
2025-03-14T04:34:32.3064522Z     tensor([[1, 2, 3, 4], [1, 2, 3, 4]]) # Rank 0
2025-03-14T04:34:32.3065118Z     tensor([[3, 4, 5, 6], [3, 4, 5, 6]]) # Rank 1
2025-03-14T04:34:32.3065778Z     tensor([[5, 6, 7, 8], [5, 6, 7, 8]]) # Rank 2
2025-03-14T04:34:32.3066436Z     tensor([[7, 8, 9, 10], [7, 8, 9, 10]]) # Rank 3
2025-03-14T04:34:32.3067306Z     >>> sharding_dim = 0
2025-03-14T04:34:32.3067791Z     >>> spec = ChunkShardingSpec(
2025-03-14T04:34:32.3068361Z             dim=sharding_dim,
2025-03-14T04:34:32.3068887Z             placements=[
2025-03-14T04:34:32.3069377Z                 "rank:0/cuda:0",
2025-03-14T04:34:32.3069879Z                 "rank:1/cuda:1",
2025-03-14T04:34:32.3070389Z                 "rank:2/cuda:2",
2025-03-14T04:34:32.3070909Z                 "rank:3/cuda:3",
2025-03-14T04:34:32.3071590Z             ],
2025-03-14T04:34:32.3071981Z         )
2025-03-14T04:34:32.3072369Z     >>> current_offsets = [0] * 2
2025-03-14T04:34:32.3072750Z     >>> current_offsets[0] = rank * 2
2025-03-14T04:34:32.3073105Z     >>> shard_metadata = ShardMetadata(
2025-03-14T04:34:32.3073489Z             shard_offsets=copy.deepcopy(current_offsets),
2025-03-14T04:34:32.3073895Z             shard_sizes=tensor.size(),
2025-03-14T04:34:32.3074348Z             placement=spec.placements[rank],
2025-03-14T04:34:32.3074695Z         )
2025-03-14T04:34:32.3074941Z     >>> local_shards = [
2025-03-14T04:34:32.3075321Z             Shard(
2025-03-14T04:34:32.3075587Z                 tensor=tensor,
2025-03-14T04:34:32.3075909Z                 metadata=shard_metadata,
2025-03-14T04:34:32.3076241Z             )
2025-03-14T04:34:32.3076483Z         ]
2025-03-14T04:34:32.3076864Z     >>> st = ShardedTensor._init_from_local_shards(local_shards, tensor.size())
2025-03-14T04:34:32.3077343Z     >>> sharding_dim = 1
2025-03-14T04:34:32.3077840Z     >>> resharding_spec = ChunkShardingSpec(
2025-03-14T04:34:32.3078425Z             dim=sharding_dim,
2025-03-14T04:34:32.3078911Z             placements=[
2025-03-14T04:34:32.3079375Z                 "rank:0/cuda:0",
2025-03-14T04:34:32.3079870Z                 "rank:1/cuda:1",
2025-03-14T04:34:32.3080398Z                 "rank:2/cuda:2",
2025-03-14T04:34:32.3080927Z                 "rank:3/cuda:3",
2025-03-14T04:34:32.3081440Z             ],
2025-03-14T04:34:32.3081844Z         )
2025-03-14T04:34:32.3082283Z     >>> st.reshard(resharding_spec)
2025-03-14T04:34:32.3082886Z     >>> tensor = st.local_shards()[0].tensor
2025-03-14T04:34:32.3083450Z     >>> tensor
2025-03-14T04:34:32.3083951Z     tensor([[1], [1], [3], [3], [5], [5], [7], [7]]) # Rank 0
2025-03-14T04:34:32.3084701Z     tensor([[2], [2], [4], [4], [6], [6], [8], [8]]) # Rank 1
2025-03-14T04:34:32.3085435Z     tensor([[3], [3], [5], [5], [7], [7], [9], [9]]) # Rank 2
2025-03-14T04:34:32.3086169Z     tensor([[4], [4], [6], [6], [8], [8], [10], [10]]) # Rank 3
2025-03-14T04:34:32.3086666Z 
2025-03-14T04:34:32.3087166Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:32.3087844Z 
2025-03-14T04:34:32.3245541Z msg = Cannot scrape callname=ShardingPlan in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_shard/sharding_plan/api.py line=12.
2025-03-14T04:34:32.3247067Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:32.3247478Z 
2025-03-14T04:34:32.3247710Z Representation of a sharding plan, describes how to shard a module
2025-03-14T04:34:32.3248346Z across hosts. `plan` is used to shard module parameters according to the spec provided,
2025-03-14T04:34:32.3249059Z `output_plan` and `return_local_tensor` are optional, they are used to specify the output
2025-03-14T04:34:32.3249748Z layout of a module with a spec, and when to convert back to data parallel fashion.
2025-03-14T04:34:32.3250137Z 
2025-03-14T04:34:32.3250235Z Args:
2025-03-14T04:34:32.3250772Z     plan (Dict[str, Union[:class:`torch.distributed._shard.sharding_spec.ShardingSpec`,
2025-03-14T04:34:32.3251359Z           :class:`torch.distributed._shard.sharder.Sharder`]):
2025-03-14T04:34:32.3276913Z         a dict describes how to shard a module, there're currently two ways to shard a module:
2025-03-14T04:34:32.3277843Z             1. directly shard a module parameter by a `ShardingSpec`, keyed by the name of
2025-03-14T04:34:32.3278384Z                a parameter to a `ShardingSpec`.
2025-03-14T04:34:32.3278914Z             2. shard a submodule by applying a `Sharder` on it, keyed by the name of a module
2025-03-14T04:34:32.3279424Z                to a `Sharder` object.
2025-03-14T04:34:32.3279978Z     output_plan (Dict[str, :class:`torch.distributed._shard.sharding_spec.ShardingSpec`), optional):
2025-03-14T04:34:32.3280705Z         a dict specifies the layout of a module's output which produces a ShardedTensor,
2025-03-14T04:34:32.3281332Z         keyed by the name of module to ShardingSpec("" in key means the root module).
2025-03-14T04:34:32.3281904Z         Default: `None`
2025-03-14T04:34:32.3282328Z     return_local_tensor (List[str], optional): a list of string, each element enables
2025-03-14T04:34:32.3283156Z         a module's sharded output to be returned as a Tensor from its local shards to
2025-03-14T04:34:32.3284364Z         ensure further processing in a data parallel fashion. ("" in list means the
2025-03-14T04:34:32.3285250Z         root module).
2025-03-14T04:34:32.3285716Z         Default: None
2025-03-14T04:34:32.3286156Z Example:
2025-03-14T04:34:32.3286931Z   Suppose we want to shard a module with two linear layers and then run it with DDP, we also
2025-03-14T04:34:32.3288250Z   want to convert the output of the second linear layer back to DDP, we can do it as follows:
2025-03-14T04:34:32.3289053Z 
2025-03-14T04:34:32.3289366Z     >>> # xdoctest: +REQUIRES(module:torch._C._distributed_c10d)
2025-03-14T04:34:32.3290117Z     >>> class MyModule(nn.Module):
2025-03-14T04:34:32.3290828Z     >>>     def __init__(self) -> None:
2025-03-14T04:34:32.3291401Z     >>>        super().__init__()
2025-03-14T04:34:32.3291939Z     >>>        self.fc1 = nn.Linear()
2025-03-14T04:34:32.3292504Z     >>>        self.gelu = nn.GELU()
2025-03-14T04:34:32.3293075Z     >>>        self.fc2 = nn.Linear()
2025-03-14T04:34:32.3293666Z     >>>        self.relu = nn.Linear()
2025-03-14T04:34:32.3294235Z     >>>
2025-03-14T04:34:32.3294670Z     >>>     def forward(self, input):
2025-03-14T04:34:32.3295397Z     >>>         return self.relu(self.fc2(self.gelu(self.fc1(input))))
2025-03-14T04:34:32.3295928Z 
2025-03-14T04:34:32.3295936Z 
2025-03-14T04:34:32.3296187Z     >>> # xdoctest: +SKIP("Undefined spec1, spec2)
2025-03-14T04:34:32.3296850Z     >>> sharding_plan = ShardingPlan(
2025-03-14T04:34:32.3297401Z     >>>    plan={
2025-03-14T04:34:32.3297842Z     >>>        "fc1.weight": spec1,
2025-03-14T04:34:32.3298405Z     >>>        "fc2.weight": spec2
2025-03-14T04:34:32.3298934Z     >>>    },
2025-03-14T04:34:32.3299319Z     >>>    output_plan={
2025-03-14T04:34:32.3299795Z     >>>        "fc2": output_spec
2025-03-14T04:34:32.3300318Z     >>>    },
2025-03-14T04:34:32.3300767Z     >>>    return_local_tensor=["fc2"]
2025-03-14T04:34:32.3301326Z     >>> )
2025-03-14T04:34:32.3301562Z 
2025-03-14T04:34:32.3302045Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:32.3302763Z 
2025-03-14T04:34:32.4132397Z msg = Cannot scrape callname=post_localSGD_hook in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/post_localSGD_hook.py line=72.
2025-03-14T04:34:32.4133601Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:32.4134214Z 
2025-03-14T04:34:32.4134352Z Run post-localSGD algorithm.
2025-03-14T04:34:32.4134555Z 
2025-03-14T04:34:32.4134819Z This DDP communication hook is used for running post-localSGD algorithm,
2025-03-14T04:34:32.4135387Z by combining with a model averaging component (e.g.,
2025-03-14T04:34:32.4136170Z :class:`~torch.distributed.algorithms.model_averaging.averagers.PeriodicModelAverager`)
2025-03-14T04:34:32.4136764Z that runs after the optimizer step.
2025-03-14T04:34:32.4136985Z 
2025-03-14T04:34:32.4137090Z Args:
2025-03-14T04:34:32.4137459Z     state (PostLocalSGDState): State information to run post-localSGD.
2025-03-14T04:34:32.4138507Z         Users mainly need to tune ``start_localSGD_iter`` to determine when to start local SGD.
2025-03-14T04:34:32.4140053Z     bucket (dist.GradBucket): Bucket that stores a 1D flattened gradient tensor that batches multiple per-variable tensors.
2025-03-14T04:34:32.4141555Z         Note that since DDP comm hook only supports single process single device mode,
2025-03-14T04:34:32.4142559Z         only exactly one tensor is stored in this bucket.
2025-03-14T04:34:32.4143072Z 
2025-03-14T04:34:32.4143251Z Returns:
2025-03-14T04:34:32.4143945Z     Future handler of the communication, which updates the gradients in place.
2025-03-14T04:34:32.4144828Z 
2025-03-14T04:34:32.4145045Z Example::
2025-03-14T04:34:32.4145460Z     >>> # xdoctest: +SKIP
2025-03-14T04:34:32.4146280Z     >>> state = PostLocalSGDState(process_group=process_group, subgroup=subgroup,
2025-03-14T04:34:32.4147231Z                               start_localSGD_iter=10)
2025-03-14T04:34:32.4148020Z     >>> ddp_model.register_comm_hook(state, post_localSGD_hook)
2025-03-14T04:34:32.4149340Z     >>> # Also need to establish a model averaging module and run model averaging after ``optimizer.step()``.
2025-03-14T04:34:32.4150920Z     >>> # Please refer to the examples in ``torch.distributed.algorithms.model_averaging.averagers`` module.
2025-03-14T04:34:32.4151852Z 
2025-03-14T04:34:32.4152330Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:32.4153074Z 
2025-03-14T04:34:32.4192140Z msg = Cannot scrape callname=powerSGD_hook in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py line=342.
2025-03-14T04:34:32.4194467Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:32.4195297Z 
2025-03-14T04:34:32.4195524Z Implement PowerSGD algorithm.
2025-03-14T04:34:32.4195879Z 
2025-03-14T04:34:32.4196327Z This DDP communication hook implements PowerSGD gradient compression
2025-03-14T04:34:32.4197433Z algorithm described in the `paper <https://arxiv.org/abs/1905.13727>`_.
2025-03-14T04:34:32.4198512Z Once gradient tensors are aggregated across all workers, this hook applies
2025-03-14T04:34:32.4199046Z compression as follows:
2025-03-14T04:34:32.4199239Z 
2025-03-14T04:34:32.4199696Z 1. Views the input flattened 1D gradient tensor as a list of per-parameter tensors, and divides all the tensors into two groups:
2025-03-14T04:34:32.4200278Z 
2025-03-14T04:34:32.4200712Z     1.1 The tensors that should be compressed before allreduce, because the compression can give enough saving in bandwidth.
2025-03-14T04:34:32.4201293Z 
2025-03-14T04:34:32.4201728Z     1.2 Rest of the tensors will be directly allreduced without compression, including all the vector tensors (for biases).
2025-03-14T04:34:32.4202268Z 
2025-03-14T04:34:32.4202400Z 2. Handles uncompressed tensors:
2025-03-14T04:34:32.4202607Z 
2025-03-14T04:34:32.4203150Z     2.1. Allocate contiguous memory for those uncompressed tensors, and allreduces all the uncompressed tensors as a batch, without compression;
2025-03-14T04:34:32.4203796Z 
2025-03-14T04:34:32.4204160Z     2.2. Copies the individual uncompressed tensors from the contiguous memory back to the input tensor.
2025-03-14T04:34:32.4204633Z 
2025-03-14T04:34:32.4205032Z 3. Handles the tensors that should be compressed by PowerSGD compression:
2025-03-14T04:34:32.4205667Z 
2025-03-14T04:34:32.4206108Z     3.1. For each tensor M, creates two low-rank tensors P and Q for decomposing M,
2025-03-14T04:34:32.4207412Z     such that M = PQ^T, where Q is initialized from a standard normal distribution and orthogonalized;
2025-03-14T04:34:32.4208241Z 
2025-03-14T04:34:32.4208653Z     3.2. Computes each P in Ps, which is equal to MQ;
2025-03-14T04:34:32.4209150Z 
2025-03-14T04:34:32.4209366Z     3.3. Allreduces Ps as a batch;
2025-03-14T04:34:32.4209739Z 
2025-03-14T04:34:32.4209967Z     3.4. Orthogonalizes each P in Ps;
2025-03-14T04:34:32.4210383Z 
2025-03-14T04:34:32.4210773Z     3.5. Computes each Q in Qs, which is approximately equal to M^TP;
2025-03-14T04:34:32.4211379Z 
2025-03-14T04:34:32.4211598Z     3.6. Allreduces Qs as a batch;
2025-03-14T04:34:32.4211975Z 
2025-03-14T04:34:32.4212554Z     3.7. Computes each M among all the compressed tensors, which is approximately equal to PQ^T.
2025-03-14T04:34:32.4213378Z 
2025-03-14T04:34:32.4214176Z Note that this communication hook enforces vanilla allreduce for the first ``state.start_powerSGD_iter`` iterations.
2025-03-14T04:34:32.4215778Z This not only gives the user more control over the tradeoff between speedup and accuracy,
2025-03-14T04:34:32.4217605Z but also helps abstract away some complexity of the internal optimization of DDP for future communication hook developers.
2025-03-14T04:34:32.4218719Z 
2025-03-14T04:34:32.4218894Z Args:
2025-03-14T04:34:32.4219904Z     state (PowerSGDState): State information to configure the compression rate and support error feedback, warm start, etc.
2025-03-14T04:34:32.4221800Z         To tune the compression configs, mainly need to tune ``matrix_approximation_rank``, ``start_powerSGD_iter``
2025-03-14T04:34:32.4222952Z         and ``min_compression_rate``.
2025-03-14T04:34:32.4224125Z     bucket (dist.GradBucket): Bucket that stores a 1D flattened gradient tensor that batches multiple per-variable tensors.
2025-03-14T04:34:32.4225595Z         Note that since DDP comm hook only supports single process single device mode,
2025-03-14T04:34:32.4226574Z         only exactly one tensor is stored in this bucket.
2025-03-14T04:34:32.4227120Z 
2025-03-14T04:34:32.4227294Z Returns:
2025-03-14T04:34:32.4228009Z     Future handler of the communication, which updates the gradients in place.
2025-03-14T04:34:32.4228815Z 
2025-03-14T04:34:32.4229011Z Example::
2025-03-14T04:34:32.4229414Z     >>> # xdoctest: +SKIP
2025-03-14T04:34:32.4230258Z     >>> state = PowerSGDState(process_group=process_group, matrix_approximation_rank=1,
2025-03-14T04:34:32.4231321Z                               start_powerSGD_iter=10, min_compression_rate=0.5)
2025-03-14T04:34:32.4232162Z     >>> ddp_model.register_comm_hook(state, powerSGD_hook)
2025-03-14T04:34:32.4232668Z 
2025-03-14T04:34:32.4233022Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:32.4233426Z 
2025-03-14T04:34:32.4255662Z msg = Cannot scrape callname=PeriodicModelAverager in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/model_averaging/averagers.py line=38.
2025-03-14T04:34:32.4256915Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:32.4257348Z 
2025-03-14T04:34:32.4257554Z Averages parameters periodically after the warm-up stage.
2025-03-14T04:34:32.4257879Z 
2025-03-14T04:34:32.4258153Z This can be used for running `post-local SGD <https://arxiv.org/abs/1808.07217>`_,
2025-03-14T04:34:32.4258751Z by running :class:`~torch.nn.DistributedDataParallel` (DDP)
2025-03-14T04:34:32.4259319Z using the subgroups created by :meth:`~torch.distributed.new_subgroups`.
2025-03-14T04:34:32.4259695Z 
2025-03-14T04:34:32.4259789Z Args:
2025-03-14T04:34:32.4260101Z     period (int): The number of steps per model averaging.
2025-03-14T04:34:32.4260681Z                   Usually the period should be greater than ``1`` to reduce the communication cost.
2025-03-14T04:34:32.4261225Z                   Otherwise, only DDP needs to be used.
2025-03-14T04:34:32.4261888Z     warmup_steps (int): The number of warm-up steps. During this stage,
2025-03-14T04:34:32.4262699Z                         model averaging is skipped.
2025-03-14T04:34:32.4263487Z     process_group: The process group to be used for all-reduce.
2025-03-14T04:34:32.4264429Z                    If ``None``, the default process group, which
2025-03-14T04:34:32.4265266Z                    is created by :func:`torch.distributed.init_process_group`,
2025-03-14T04:34:32.4266093Z                    will be used. (default: ``None``)
2025-03-14T04:34:32.4266554Z 
2025-03-14T04:34:32.4266737Z Example::
2025-03-14T04:34:32.4267153Z 
2025-03-14T04:34:32.4267411Z     >>> # xdoctest: +SKIP("undefined variables")
2025-03-14T04:34:32.4268052Z     >>> import torch
2025-03-14T04:34:32.4268568Z     >>> import torch.distributed as dist
2025-03-14T04:34:32.4269605Z     >>> import torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook as post_localSGD
2025-03-14T04:34:32.4270908Z     >>> import torch.distributed.algorithms.model_averaging.averagers as averagers
2025-03-14T04:34:32.4271879Z     >>> import torch.nn as nn
2025-03-14T04:34:32.4272416Z     >>>
2025-03-14T04:34:32.4272998Z     >>> dist.init_process_group("nccl", rank=rank, world_size=16)
2025-03-14T04:34:32.4273939Z     >>> torch.cuda.set_device(rank)
2025-03-14T04:34:32.4274573Z     >>> module = nn.Linear(1, 1, bias=False).cuda()
2025-03-14T04:34:32.4275418Z     >>> model = nn.parallel.DistributedDataParallel(
2025-03-14T04:34:32.4276201Z     >>>    module, device_ids=[rank], output_device=rank
2025-03-14T04:34:32.4276867Z     >>> )
2025-03-14T04:34:32.4277479Z     >>> # Register a post-localSGD communication hook.
2025-03-14T04:34:32.4278586Z     >>> state = PostLocalSGDState(process_group=None, subgroup=None, start_localSGD_iter=100)
2025-03-14T04:34:32.4279643Z     >>> model.register_comm_hook(state, post_localSGD_hook)
2025-03-14T04:34:32.4280344Z     >>>
2025-03-14T04:34:32.4281078Z     >>> # In the first 100 steps, run global gradient averaging like normal DDP at every step.
2025-03-14T04:34:32.4282111Z     >>> # After 100 steps, run model averaging every 4 steps.
2025-03-14T04:34:32.4283261Z     >>> # Note that ``warmup_steps`` must be the same as ``start_localSGD_iter`` used in ``PostLocalSGDState``.
2025-03-14T04:34:32.4284750Z     >>> averager = averagers.PeriodicModelAverager(period=4, warmup_steps=100)
2025-03-14T04:34:32.4285574Z     >>> for step in range(0, 200):
2025-03-14T04:34:32.4286078Z     >>>    optimizer.zero_grad()
2025-03-14T04:34:32.4286601Z     >>>    loss = loss_fn(output, labels)
2025-03-14T04:34:32.4287197Z     >>>    loss.backward()
2025-03-14T04:34:32.4287712Z     >>>    optimizer.step()
2025-03-14T04:34:32.4288417Z     >>>    # Will average model parameters globally every 4 steps. Thus,
2025-03-14T04:34:32.4289410Z     >>>    # inter-node communication only occurs every 4 iterations after
2025-03-14T04:34:32.4290247Z     >>>    # the initial ``warmup_steps`` period.
2025-03-14T04:34:32.4290978Z     >>>    averager.average_parameters(model.parameters())
2025-03-14T04:34:32.4291330Z 
2025-03-14T04:34:32.4291610Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:32.4291995Z 
2025-03-14T04:34:32.4292933Z msg = Cannot scrape callname=HierarchicalModelAverager in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/model_averaging/hierarchical_model_averager.py line=19.
2025-03-14T04:34:32.4294200Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:32.4294590Z 
2025-03-14T04:34:32.4294962Z Runs hierarchical model averaging (`hierarchical SGD <https://arxiv.org/pdf/2010.12998.pdf>`_).
2025-03-14T04:34:32.4295429Z 
2025-03-14T04:34:32.4295761Z Process groups of different sizes are organized in a hierarchy, and they average parameters
2025-03-14T04:34:32.4296422Z by using different periods concurrently after the warm-up stage.
2025-03-14T04:34:32.4297706Z This is an extension of :class:`~torch.distributed.algorithms.model_averaging.averagers.PeriodicModelAverager`
2025-03-14T04:34:32.4299334Z that supports `post-local SGD <https://arxiv.org/abs/1808.07217>`_, which essentially only supports
2025-03-14T04:34:32.4300935Z a two-level hierarchy: the intra-machine level and the global level, where the intra-machine
2025-03-14T04:34:32.4302474Z level is usually embedded in :meth:`~torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook`.
2025-03-14T04:34:32.4303913Z Similarly, the process groups within this class do not have such an intra-machine process
2025-03-14T04:34:32.4305236Z subgroup, which should be embedded by the post-local SGD communication hook instead.
2025-03-14T04:34:32.4306010Z 
2025-03-14T04:34:32.4306183Z Args:
2025-03-14T04:34:32.4306919Z     period_group_size_dict: An ordered dict mapping keys of model averaging period to
2025-03-14T04:34:32.4308023Z                             process group size, used for initializing process groups of
2025-03-14T04:34:32.4308910Z                             different sizes in a hierarchy to average parameters concurrently.
2025-03-14T04:34:32.4309510Z                             Particularly, at each iteration, there will be at most a single
2025-03-14T04:34:32.4310198Z                             process group that runs averaging -- the period of such group should
2025-03-14T04:34:32.4310801Z                             have the largest period which the current step can be divided by.
2025-03-14T04:34:32.4311336Z                             For example, if the dict has three keys: 2, 4, and 8,
2025-03-14T04:34:32.4311861Z                             then this means totally three process groups will be created to
2025-03-14T04:34:32.4312463Z                             average parameters every 2, 4, and 8 iterations, respectively.
2025-03-14T04:34:32.4313010Z                             At the 4th iteration, only the second process group will run
2025-03-14T04:34:32.4313533Z                             averaging, because the first process group should be a
2025-03-14T04:34:32.4314083Z                             subset of the second process group, and no need to execute the first
2025-03-14T04:34:32.4314780Z                             process group redundantly.
2025-03-14T04:34:32.4315670Z                             On the other hand, the third process group can only be triggered
2025-03-14T04:34:32.4316699Z                             every 8 iterations, so it will not be triggered at the 4th iteration.
2025-03-14T04:34:32.4317906Z     warmup_steps (int): The number of warm-up steps. During this stage, model averaging is skipped.
2025-03-14T04:34:32.4319513Z     process_group (ProcessGroup, optional): The overall process group containing all the processes that runs model averaging.
2025-03-14T04:34:32.4320910Z                                             If ``None``, the default process group, which is created
2025-03-14T04:34:32.4321750Z                                             by :func:`torch.distributed.init_process_group`, will be used.
2025-03-14T04:34:32.4322238Z                                             (default: ``None``)
2025-03-14T04:34:32.4322488Z 
2025-03-14T04:34:32.4322609Z Example::
2025-03-14T04:34:32.4322875Z     >>> # xdoctest: +SKIP('undefined rank')
2025-03-14T04:34:32.4323262Z     >>> from collections import OrderedDict
2025-03-14T04:34:32.4323595Z     >>> import torch
2025-03-14T04:34:32.4323891Z     >>> import torch.distributed as dist
2025-03-14T04:34:32.4324415Z     >>> from torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook import (
2025-03-14T04:34:32.4324942Z     >>>     PostLocalSGDState,
2025-03-14T04:34:32.4325258Z     >>>     post_localSGD_hook,
2025-03-14T04:34:32.4325553Z     >>> )
2025-03-14T04:34:32.4326079Z     >>> import torch.distributed.algorithms.model_averaging.hierarchical_model_averager as hierarchicalSGD
2025-03-14T04:34:32.4326704Z     >>> import torch.nn as nn
2025-03-14T04:34:32.4326999Z     >>>
2025-03-14T04:34:32.4327317Z     >>> dist.init_process_group("nccl", rank=rank, world_size=16)
2025-03-14T04:34:32.4328091Z     >>> torch.cuda.set_device(rank)
2025-03-14T04:34:32.4328689Z     >>> module = nn.Linear(1, 1, bias=False).to(rank)
2025-03-14T04:34:32.4329398Z     >>> model = nn.parallel.DistributedDataParallel(
2025-03-14T04:34:32.4330254Z     >>>    module, device_ids=[rank], output_device=rank
2025-03-14T04:34:32.4330887Z     >>> )
2025-03-14T04:34:32.4331385Z     >>> # Register a post-localSGD communication hook.
2025-03-14T04:34:32.4332383Z     >>> # Assume that each machine has 4 GPUs, then each intra-machine subgroup has a size of 4.
2025-03-14T04:34:32.4333354Z     >>> subgroup, _ = dist.new_subgroups()
2025-03-14T04:34:32.4334711Z     >>> state = PostLocalSGDState(process_group=None, subgroup=subgroup, start_localSGD_iter=100)
2025-03-14T04:34:32.4335842Z     >>> model.register_comm_hook(state, post_localSGD_hook)
2025-03-14T04:34:32.4336475Z     >>>
2025-03-14T04:34:32.4337248Z     >>> # Average parameters among each group of 8 processes every 4 iterations, and among all
2025-03-14T04:34:32.4338263Z     >>> # the 16 processes every 16 iterations.
2025-03-14T04:34:32.4339054Z     >>> averager = hierarchicalSGD.HierarchicalModelAverager(
2025-03-14T04:34:32.4340071Z     >>>     period_group_size_dict=OrderedDict([(4, 8), (16, 16)]), warmup_steps=100)
2025-03-14T04:34:32.4341453Z     >>> # Note that ``warmup_steps`` must be the same as ``start_localSGD_iter`` used in ``PostLocalSGDState``.
2025-03-14T04:34:32.4342819Z     >>> # In the first 100 steps, run global gradient averaging like normal DDP at every step.
2025-03-14T04:34:32.4343882Z     >>> # After 100 steps, run model averaging at two levels.
2025-03-14T04:34:32.4344611Z     >>> for step in range(0, 200):
2025-03-14T04:34:32.4345269Z     >>>    optimizer.zero_grad()
2025-03-14T04:34:32.4345855Z     >>>    loss = loss_fn(output, labels)
2025-03-14T04:34:32.4346457Z     >>>    loss.backward()
2025-03-14T04:34:32.4346960Z     >>>    optimizer.step()
2025-03-14T04:34:32.4347551Z     >>>    # Average parameters after ``optimizer.step()``.
2025-03-14T04:34:32.4348614Z     >>>    # Thus, the inter-node communication only occurs periodically after ``warmup_steps``.
2025-03-14T04:34:32.4349699Z     >>>    averager.average_parameters(model.parameters())
2025-03-14T04:34:32.4350320Z 
2025-03-14T04:34:32.4350514Z .. warning ::
2025-03-14T04:34:32.4351222Z     The last group size in the dict must be the size of the provided ``process_group``,
2025-03-14T04:34:32.4352350Z     which indicates model averaging at the highest level of the hierarchy.
2025-03-14T04:34:32.4353613Z     If ``process_group`` is not provided, then the last group size should be equal to the world size.
2025-03-14T04:34:32.4354405Z 
2025-03-14T04:34:32.4354603Z .. warning ::
2025-03-14T04:34:32.4355397Z     `HierarchicalModelAverager` is experimental and subject to change.
2025-03-14T04:34:32.4356075Z 
2025-03-14T04:34:32.4356550Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:32.4357266Z 
2025-03-14T04:34:32.4696565Z msg = Cannot scrape callname=BroadcastingTorchSaveReader in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/format_utils.py line=40.
2025-03-14T04:34:32.4698726Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:32.4699413Z 
2025-03-14T04:34:32.4699974Z StorageReader for reading a Torch Save file. This reader will read the entire checkpoint
2025-03-14T04:34:32.4701260Z on the coordinator rank, and then broadcast and shard each tensor to all ranks.
2025-03-14T04:34:32.4701982Z 
2025-03-14T04:34:32.4702306Z . N.B. Intended to be used with DynamicMetaLoadPlanner
2025-03-14T04:34:32.4702831Z 
2025-03-14T04:34:32.4703035Z .. warning::
2025-03-14T04:34:32.4703595Z     Current implementation only supports loading Tensors.
2025-03-14T04:34:32.4704129Z 
2025-03-14T04:34:32.4704342Z >>> # xdoctest: +SKIP("undefined vars")
2025-03-14T04:34:32.4704775Z >>> sd = {"mode": model}
2025-03-14T04:34:32.4705057Z >>> dcp.load(
2025-03-14T04:34:32.4705302Z >>>    sd,
2025-03-14T04:34:32.4705590Z >>>    storage_reader=BroadcastingTorchSaveReader(),
2025-03-14T04:34:32.4706003Z >>>    planner=DynamicMetaLoadPlanner(),
2025-03-14T04:34:32.4706378Z >>>    checkpoint_id="path_to_model.pt"
2025-03-14T04:34:32.4706719Z >>> )
2025-03-14T04:34:32.4706853Z 
2025-03-14T04:34:32.4707247Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:32.4707647Z 
2025-03-14T04:34:32.4708374Z msg = Cannot scrape callname=DynamicMetaLoadPlanner in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/format_utils.py line=151.
2025-03-14T04:34:32.4709472Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:32.4709875Z 
2025-03-14T04:34:32.4710254Z Extension of DefaultLoadPlanner, which creates a new Metadata object based on the passed in state dict,
2025-03-14T04:34:32.4711099Z avoiding the need to read metadata from disk. This is useful when reading formats which don't have a
2025-03-14T04:34:32.4711931Z metadata file, like Torch Save files.
2025-03-14T04:34:32.4712317Z 
2025-03-14T04:34:32.4712637Z . N.B. Intended to be used with BroadcastingTorchSaveReader
2025-03-14T04:34:32.4713193Z 
2025-03-14T04:34:32.4713495Z .. warning::
2025-03-14T04:34:32.4714077Z     Current implementation only supports loading Tensors.
2025-03-14T04:34:32.4714630Z 
2025-03-14T04:34:32.4714848Z >>> # xdoctest: +SKIP("undefined vars")
2025-03-14T04:34:32.4715545Z >>> sd = {"mode": model}
2025-03-14T04:34:32.4716039Z >>> dcp.load(
2025-03-14T04:34:32.4716453Z >>>    sd,
2025-03-14T04:34:32.4716960Z >>>    storage_reader=BroadcastingTorchSaveReader(),
2025-03-14T04:34:32.4717808Z >>>    planner=DynamicMetaLoadPlanner(),
2025-03-14T04:34:32.4718480Z >>>    checkpoint_id="path_to_model.pt"
2025-03-14T04:34:32.4719072Z >>> )
2025-03-14T04:34:32.4719296Z 
2025-03-14T04:34:32.4719809Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:32.4720551Z 
2025-03-14T04:34:32.4782619Z msg = Cannot scrape callname=load_sharded_optimizer_state_dict in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/optimizer.py line=221.
2025-03-14T04:34:32.4783799Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:32.4784326Z 
2025-03-14T04:34:32.4784552Z Load a state_dict in conjunction with FSDP sharded optimizer state.
2025-03-14T04:34:32.4784909Z 
2025-03-14T04:34:32.4785084Z This is the current recommended way to checkpoint FSDP.
2025-03-14T04:34:32.4785488Z >>> # xdoctest: +SKIP
2025-03-14T04:34:32.4785824Z >>> import torch.distributed.checkpoint as dist_cp
2025-03-14T04:34:32.4786203Z >>> # Save
2025-03-14T04:34:32.4786452Z >>> model: torch.nn.Model
2025-03-14T04:34:32.4786767Z >>> optim_params = model.parameters()
2025-03-14T04:34:32.4787152Z >>> optim = torch.optim.SGD(optim_params, lr=0.01)
2025-03-14T04:34:32.4787514Z >>> # Save
2025-03-14T04:34:32.4788050Z >>> with FSDP.state_dict_type(model, StateDictType.SHARDED_STATE_DICT):
2025-03-14T04:34:32.4788838Z >>>     state_dict = {
2025-03-14T04:34:32.4789392Z >>>         "optimizer": FSDP.optim_state_dict(model, optim),
2025-03-14T04:34:32.4790106Z >>>         "model": model.state_dict()
2025-03-14T04:34:32.4790686Z >>>     }
2025-03-14T04:34:32.4791107Z >>>     dist_cp.save_state_dict(
2025-03-14T04:34:32.4791671Z >>>         state_dict=optim_state,
2025-03-14T04:34:32.4792403Z >>>         storage_writer=dist_cp.FileSystemWriter("checkpoint"),
2025-03-14T04:34:32.4793215Z >>>         planner=dist_cp.DefaultSavePlanner(),
2025-03-14T04:34:32.4793832Z >>>     )
2025-03-14T04:34:32.4794222Z >>>
2025-03-14T04:34:32.4794599Z >>> # Load
2025-03-14T04:34:32.4795387Z >>> with FSDP.state_dict_type(model_tp, StateDictType.SHARDED_STATE_DICT):
2025-03-14T04:34:32.4796302Z >>>     model_state_dict = model_tp.state_dict()
2025-03-14T04:34:32.4796952Z >>>     checkpoint = {
2025-03-14T04:34:32.4797459Z >>>         "model": model_state_dict
2025-03-14T04:34:32.4798031Z >>>     }
2025-03-14T04:34:32.4798452Z >>>     dist_cp.load_state_dict(
2025-03-14T04:34:32.4799005Z >>>         state_dict=checkpoint,
2025-03-14T04:34:32.4799738Z >>>         storage_reader=dist_cp.FileSystemReader(checkpoint_file),
2025-03-14T04:34:32.4800741Z >>>         planner=dist_cp.DefaultLoadPlanner(),
2025-03-14T04:34:32.4801368Z >>>     )
2025-03-14T04:34:32.4801860Z >>>     model.load_state_dict(checkpoint["model_state"])
2025-03-14T04:34:32.4802528Z >>>
2025-03-14T04:34:32.4803084Z >>>     optim_state = dist_cp.load_sharded_optimizer_state_dict(
2025-03-14T04:34:32.4803843Z >>>         model_state_dict,
2025-03-14T04:34:32.4804418Z >>>         optimizer_key="optimizer",
2025-03-14T04:34:32.4805180Z >>>         storage_reader=dist_cp.FileSystemReader("checkpoint"),
2025-03-14T04:34:32.4805912Z >>>     )
2025-03-14T04:34:32.4806282Z >>>
2025-03-14T04:34:32.4806747Z >>>     flattened_osd = FSDP.optim_state_dict_to_load(
2025-03-14T04:34:32.4807463Z >>>        model, optim, optim_state["optimizer"]
2025-03-14T04:34:32.4808081Z >>>     )
2025-03-14T04:34:32.4808465Z >>>
2025-03-14T04:34:32.4808888Z >>>     optim.load_state_dict(flattened_osd)
2025-03-14T04:34:32.4809335Z 
2025-03-14T04:34:32.4809827Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:32.4810709Z 
2025-03-14T04:34:32.4823276Z msg = Cannot scrape callname=SavePlanner in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/planner.py line=113.
2025-03-14T04:34:32.4825229Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:32.4825985Z 
2025-03-14T04:34:32.4826733Z Abstract class defining the protocol used by save_state_dict to plan the save process.
2025-03-14T04:34:32.4827578Z 
2025-03-14T04:34:32.4828182Z SavePlanners are stateful objects that can be used to customize the whole save process.
2025-03-14T04:34:32.4829013Z 
2025-03-14T04:34:32.4829576Z SavePlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-03-14T04:34:32.4830600Z will be visible to the whole process.
2025-03-14T04:34:32.4831023Z 
2025-03-14T04:34:32.4831587Z A planner subclass can expect the following sequence of calls during save_state_dict:
2025-03-14T04:34:32.4832388Z 
2025-03-14T04:34:32.4832626Z 1) set_up_planner - called on all ranks.
2025-03-14T04:34:32.4833211Z     Signals the start of a checkpoint save.
2025-03-14T04:34:32.4833598Z 
2025-03-14T04:34:32.4834047Z 2) create_local_plan - called on all ranks.
2025-03-14T04:34:32.4835148Z     Process the state_dict and produces a `SavePlan` that will be sent for global planning.
2025-03-14T04:34:32.4835954Z 
2025-03-14T04:34:32.4836313Z 3) create_global_plan - called on the coordinator rank only.
2025-03-14T04:34:32.4837254Z     Takes the SavePlan from all ranks and make any global decision.
2025-03-14T04:34:32.4837864Z 
2025-03-14T04:34:32.4838096Z 4) finish_plan - called on all ranks.
2025-03-14T04:34:32.4838929Z     This gives each rank a chance to adjust to global planning decisions.
2025-03-14T04:34:32.4839585Z 
2025-03-14T04:34:32.4839885Z 5) resolve_data - called multiple times on each rank
2025-03-14T04:34:32.4840795Z     Lookups a value on the `state_dict` for the storage layer to write.
2025-03-14T04:34:32.4841428Z 
2025-03-14T04:34:32.4842001Z Users are recommended to extend DefaultSavePlanner instead of this interface directly as
2025-03-14T04:34:32.4843009Z most changes can be expressed by changes in a single method.
2025-03-14T04:34:32.4843356Z 
2025-03-14T04:34:32.4843492Z There are 3 usual patterns of extension:
2025-03-14T04:34:32.4843744Z 
2025-03-14T04:34:32.4844018Z Rewriting state_dict. This is the simplest way to extend the save process as it
2025-03-14T04:34:32.4844653Z doesn't requite understanding the intrincacies of how SavePlan works:
2025-03-14T04:34:32.4845019Z 
2025-03-14T04:34:32.4845147Z >>> # xdoctest: +SKIP("undefined vars")
2025-03-14T04:34:32.4845531Z >>> class RenamePlanner(DefaultSavePlanner):
2025-03-14T04:34:32.4845903Z >>>     def set_up_planner(
2025-03-14T04:34:32.4846198Z >>>         self,
2025-03-14T04:34:32.4846482Z >>>         state_dict: STATE_DICT_TYPE,
2025-03-14T04:34:32.4846856Z >>>         storage_meta: Optional[StorageMeta],
2025-03-14T04:34:32.4847232Z >>>         is_coordinator: bool,
2025-03-14T04:34:32.4847627Z >>>     ) -> None:
2025-03-14T04:34:32.4847907Z >>> # prefix all keys with `foo_``
2025-03-14T04:34:32.4848434Z >>>         super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator)
2025-03-14T04:34:32.4848855Z 
2025-03-14T04:34:32.4849469Z Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted
2025-03-14T04:34:32.4850313Z 
2025-03-14T04:34:32.4850533Z >>> # xdoctest: +SKIP("undefined vars")
2025-03-14T04:34:32.4851160Z >>> class FP16Planner(DefaultSavePlanner):
2025-03-14T04:34:32.4851812Z >>>     def create_local_plan(self):
2025-03-14T04:34:32.4852421Z >>>         plan = super().create_local_plan()
2025-03-14T04:34:32.4853052Z >>>         for p in plan:
2025-03-14T04:34:32.4853595Z >>>             if p.tensor_data is not None:
2025-03-14T04:34:32.4854309Z >>>                 p.tensor_data.properties.dtype = torch.float16
2025-03-14T04:34:32.4855119Z >>>         return plan
2025-03-14T04:34:32.4855576Z >>>
2025-03-14T04:34:32.4856003Z >>>     def resolve_data(self, write_item):
2025-03-14T04:34:32.4856674Z >>>         item = super().resolve_data(write_item)
2025-03-14T04:34:32.4857652Z >>>         return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16)
2025-03-14T04:34:32.4858388Z 
2025-03-14T04:34:32.4859115Z Using the global planning step to make central decisions that can't be made individually by each rank
2025-03-14T04:34:32.4860042Z 
2025-03-14T04:34:32.4860264Z >>> # xdoctest: +SKIP("undefined vars")
2025-03-14T04:34:32.4860905Z >>> from itertools import zip_longest
2025-03-14T04:34:32.4861529Z >>> from dataclasses import replace
2025-03-14T04:34:32.4862248Z >>> class DDPLoadBalancingPlanner(DefaultSavePlanner):
2025-03-14T04:34:32.4863324Z >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0
2025-03-14T04:34:32.4864327Z >>> # This sample doesn't handle ShardedTensors
2025-03-14T04:34:32.4865119Z >>>     def create_global_plan(self, all_plans):
2025-03-14T04:34:32.4865855Z >>>         iters = [iter(all_plans[0].items)] * len(all_plans)
2025-03-14T04:34:32.4866482Z >>>         items_per_rank = [
2025-03-14T04:34:32.4867250Z >>>             [item for item in items if item is not None]
2025-03-14T04:34:32.4868029Z >>>             for items in zip(*zip_longest(*iters), strict=True)
2025-03-14T04:34:32.4868721Z >>>         ]
2025-03-14T04:34:32.4869158Z >>>         all_plans = [
2025-03-14T04:34:32.4869697Z >>>             replace(plan, items=items)
2025-03-14T04:34:32.4870461Z >>>             for plan, items in zip(all_plans, items_per_rank, strict=True)
2025-03-14T04:34:32.4871241Z >>>         ]
2025-03-14T04:34:32.4871752Z >>>         return super().create_global_plan(all_plans)
2025-03-14T04:34:32.4872252Z 
2025-03-14T04:34:32.4872774Z Finally, some planners need to save additional metadata in the checkpoint, this is
2025-03-14T04:34:32.4874079Z accomplished by having each rank contribute their data items in the local plan and
2025-03-14T04:34:32.4875179Z the global planner aggregate them:
2025-03-14T04:34:32.4875605Z 
2025-03-14T04:34:32.4875823Z >>> # xdoctest: +SKIP("undefined vars")
2025-03-14T04:34:32.4876532Z >>> class SaveExtraDataPlanner(DefaultSavePlanner):
2025-03-14T04:34:32.4877305Z >>>     def create_local_plan(self) -> SavePlan:
2025-03-14T04:34:32.4877996Z >>>         plan = super().create_local_plan()
2025-03-14T04:34:32.4878738Z >>>         return replace(plan, planner_data="per-rank-data")
2025-03-14T04:34:32.4879438Z >>>
2025-03-14T04:34:32.4880203Z >>>     def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]:
2025-03-14T04:34:32.4881336Z >>>         global_plan, metadata = super().create_global_plan(all_plans)
2025-03-14T04:34:32.4882236Z >>>         merged_data = [p.planner_data for p in global_plan]
2025-03-14T04:34:32.4883099Z >>>         metadata = replace(metadata, planner_data=merged_data)
2025-03-14T04:34:32.4883812Z >>>         return global_plan, metadata
2025-03-14T04:34:32.4884376Z 
2025-03-14T04:34:32.4884878Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:32.4885601Z 
2025-03-14T04:34:32.4886788Z msg = Cannot scrape callname=LoadPlanner in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/planner.py line=293.
2025-03-14T04:34:32.4888648Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:32.4889371Z 
2025-03-14T04:34:32.4889944Z Abstract class defining the protocol used by load_state_dict to plan the load process.
2025-03-14T04:34:32.4890745Z 
2025-03-14T04:34:32.4891323Z LoadPlanner are stateful objects that can be used to customize the whole load process.
2025-03-14T04:34:32.4892135Z 
2025-03-14T04:34:32.4892694Z LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-03-14T04:34:32.4893712Z will be visible to the whole process.
2025-03-14T04:34:32.4894268Z 
2025-03-14T04:34:32.4894827Z A planner subclass can expect the following sequence of calls during load_state_dict:
2025-03-14T04:34:32.4895619Z 
2025-03-14T04:34:32.4895844Z 1) set_up_planner - called on all ranks.
2025-03-14T04:34:32.4896511Z     Signals the start of loading a checkpoint.
2025-03-14T04:34:32.4896939Z 
2025-03-14T04:34:32.4897159Z 2) create_local_plan - called on all ranks.
2025-03-14T04:34:32.4897816Z     Process the state_dict and produces a `LoadPlan` that will be sent for global planning.
2025-03-14T04:34:32.4898238Z 
2025-03-14T04:34:32.4898447Z 3) create_global_plan - called on the coordinator rank only.
2025-03-14T04:34:32.4898971Z     Takes the LoadPlan from all ranks and make any global decision.
2025-03-14T04:34:32.4899292Z 
2025-03-14T04:34:32.4899461Z 4) load_bytes - called multiple times on each rank
2025-03-14T04:34:32.4899915Z     This is called once per non-tensor value in state_dict.
2025-03-14T04:34:32.4900203Z 
2025-03-14T04:34:32.4900451Z 5) resolve_tensor and commit_tensor - called multiple times on each rank
2025-03-14T04:34:32.4901037Z     They are called in pair for each Tensor value in state_dict.
2025-03-14T04:34:32.4901356Z 
2025-03-14T04:34:32.4901673Z Users are recommended to extend DefaultLoadPlanner instead of this interface directly as
2025-03-14T04:34:32.4902317Z most changes can be expressed by changes in a single method.
2025-03-14T04:34:32.4902637Z 
2025-03-14T04:34:32.4902776Z There are two usual patterns of extension:
2025-03-14T04:34:32.4903175Z 
2025-03-14T04:34:32.4903607Z Rewriting state_dict. This is the simplest way to extend the load process as it
2025-03-14T04:34:32.4904794Z doesn't requite understanding the intrincacies of how LoadPlan works. We need
2025-03-14T04:34:32.4905948Z to keep a reference to the original state_dict as load happens in place so
2025-03-14T04:34:32.4906858Z we need to be able to perform it in place
2025-03-14T04:34:32.4907305Z 
2025-03-14T04:34:32.4907521Z >>> # xdoctest: +SKIP("undefined vars")
2025-03-14T04:34:32.4908158Z >>> class RenamePlanner(DefaultLoadPlanner):
2025-03-14T04:34:32.4908824Z >>>     def set_up_planner(
2025-03-14T04:34:32.4909295Z >>>         self,
2025-03-14T04:34:32.4909760Z >>>         state_dict: STATE_DICT_TYPE,
2025-03-14T04:34:32.4910378Z >>>         metadata: Metadata,
2025-03-14T04:34:32.4910923Z >>>         is_coordinator: bool,
2025-03-14T04:34:32.4911461Z >>>     ) -> None:
2025-03-14T04:34:32.4911940Z >>>         self.original_state_dict = state_dict
2025-03-14T04:34:32.4912531Z >>>         state_dict = {"foo_" + k: v for k, v in state_dict.items()}
2025-03-14T04:34:32.4912943Z >>>
2025-03-14T04:34:32.4913206Z >>>         if self.flatten_sharded_tensors:
2025-03-14T04:34:32.4913618Z >>>             state_dict = _flatten_sharded_tensors(state_dict)
2025-03-14T04:34:32.4914002Z >>>
2025-03-14T04:34:32.4914241Z >>>         if self.flatten_state_dict:
2025-03-14T04:34:32.4914673Z >>>             state_dict, self.mappings = flatten_state_dict(state_dict)
2025-03-14T04:34:32.4915190Z >>>
2025-03-14T04:34:32.4915452Z >>>         self.state_dict = state_dict
2025-03-14T04:34:32.4915882Z >>>         self.metadata = metadata
2025-03-14T04:34:32.4916240Z >>>         self.is_coordinator = is_coordinator
2025-03-14T04:34:32.4916588Z >>>
2025-03-14T04:34:32.4916853Z >>>     def load_bytes(self, read_item, value):
2025-03-14T04:34:32.4917219Z >>> # Remove the "foo_" prefix
2025-03-14T04:34:32.4917757Z >>>         self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False)
2025-03-14T04:34:32.4918203Z 
2025-03-14T04:34:32.4918220Z 
2025-03-14T04:34:32.4918490Z Modifying resolve_tensor and commit_tensor to handle load time transformation.
2025-03-14T04:34:32.4919232Z 
2025-03-14T04:34:32.4919426Z >>> # xdoctest: +SKIP("undefined vars")
2025-03-14T04:34:32.4920119Z >>> class MetaModelMaterialize(DefaultSavePlanner):
2025-03-14T04:34:32.4920843Z >>>     def resolve_tensor(self, read_item):
2025-03-14T04:34:32.4921532Z >>>         tensor = super().resolve_tensor(read_item)
2025-03-14T04:34:32.4922350Z >>>         return torch.empty_like(tensor, device="cpu")
2025-03-14T04:34:32.4923019Z >>>
2025-03-14T04:34:32.4923464Z >>>     def commit_tensor(self, read_item, tensor):
2025-03-14T04:34:32.4924176Z >>>         self.state_dict[read_item.dest_index.fqn] = tensor
2025-03-14T04:34:32.4924673Z 
2025-03-14T04:34:32.4925171Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:32.4925855Z 
2025-03-14T04:34:32.5042803Z msg = Cannot scrape callname=get_state_dict in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/state_dict.py line=1124.
2025-03-14T04:34:32.5044863Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:32.5045636Z 
2025-03-14T04:34:32.5045952Z Return the model state_dict and optimizers state_dict.
2025-03-14T04:34:32.5046503Z 
2025-03-14T04:34:32.5046940Z ``get_state_dict`` can process any module that is parallelized by PyTorch
2025-03-14T04:34:32.5048220Z FSDP/fully_shard, DDP/replicate, tensor_parallel/parallelize_module, and any
2025-03-14T04:34:32.5049443Z combination of these parallelisms. The main functions of ``get_state_dict``
2025-03-14T04:34:32.5050616Z are: 1.) returning a model and optimizer state_dict that can be resharded
2025-03-14T04:34:32.5051691Z with a different number of trainers and/or different parallelisms.
2025-03-14T04:34:32.5052844Z 2.) hiding the parallelism-specific state_dict APIs. Users don't have to call
2025-03-14T04:34:32.5053755Z these APIs.
2025-03-14T04:34:32.5054185Z 3.) sanity checking the result state_dict.
2025-03-14T04:34:32.5054633Z 
2025-03-14T04:34:32.5055024Z The keys of the result state dictionary are the canonical FQNs (Fully
2025-03-14T04:34:32.5056134Z Qualified Names).  A canonical FQN refers to the FQN based on a parameter's
2025-03-14T04:34:32.5057300Z position in an nn.Module hierarchy. More specifically, a canonical FQN to a
2025-03-14T04:34:32.5058397Z parameter is the FQN returned by ``module.named_parameters()`` or
2025-03-14T04:34:32.5059439Z ``module.named_buffers()`` when the module is not distributed by any
2025-03-14T04:34:32.5060261Z parallelisms. Since the optimizer internally uses parameter IDs to represent
2025-03-14T04:34:32.5060873Z a parameter, there will be a conversion from the parameter IDs to the
2025-03-14T04:34:32.5061349Z canonical FQNs when calling this API.
2025-03-14T04:34:32.5061591Z 
2025-03-14T04:34:32.5061826Z ``get_state_dict`` can also process a module that is not parallelized. In
2025-03-14T04:34:32.5062418Z such a case, ``get_state_dict`` only performs one function -- converting the
2025-03-14T04:34:32.5062938Z optimizer parameter IDs to the canonical FQNs.
2025-03-14T04:34:32.5063214Z 
2025-03-14T04:34:32.5063309Z Example:
2025-03-14T04:34:32.5063556Z     >>> # xdoctest: +SKIP
2025-03-14T04:34:32.5063844Z     >>> import torch
2025-03-14T04:34:32.5064266Z     >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-03-14T04:34:32.5064847Z     >>> from torch.nn.parallel import DistributedDataParallel as DDP
2025-03-14T04:34:32.5065529Z     >>> from torch.distributed.checkpoint.state_dict import get_state_dict
2025-03-14T04:34:32.5065897Z 
2025-03-14T04:34:32.5066036Z     >>> fsdp_model = FSDP(copy.deepcopy(model))
2025-03-14T04:34:32.5066786Z     >>> fsdp_optim = torch.optim.Adam(model.parameters(), lr=1e-3)
2025-03-14T04:34:32.5067731Z     >>> ddp_model = DDP(copy.deepcopy(model))
2025-03-14T04:34:32.5068475Z     >>> ddp_optim = torch.optim.Adam(model.parameters(), lr=1e-3)
2025-03-14T04:34:32.5069035Z 
2025-03-14T04:34:32.5069062Z 
2025-03-14T04:34:32.5069505Z     >>> ddp_state_dict, ddp_optim_state_dict = get_state_dict(ddp_model, ddp_optim)
2025-03-14T04:34:32.5070521Z     >>> fsdp_state_dict, fsdp_optim_state_dict = get_state_dict(
2025-03-14T04:34:32.5071267Z     ...     fsdp_model, fsdp_optim
2025-03-14T04:34:32.5071819Z     ... )
2025-03-14T04:34:32.5072029Z 
2025-03-14T04:34:32.5072449Z     >>> # if we simply call ddp_model.state_dict() and fsdp_model.state_dict(),
2025-03-14T04:34:32.5073480Z     >>> # the asserts will fail.
2025-03-14T04:34:32.5074083Z     >>> assert ddp_state_dict == fsdp_state_dict
2025-03-14T04:34:32.5074816Z     >>> assert ddp_optim_state == fsdp_optim_state_dict
2025-03-14T04:34:32.5075417Z 
2025-03-14T04:34:32.5075426Z 
2025-03-14T04:34:32.5075600Z Args:
2025-03-14T04:34:32.5076084Z     model (nn.Module): the nn.Module to the model.
2025-03-14T04:34:32.5077023Z     optimizers (Union[None, Optimizer, Iterable[Optimizer]]):
2025-03-14T04:34:32.5077916Z         The optimizers that are used to optimize ``model``.
2025-03-14T04:34:32.5078997Z     submodules (deprecated): Optional[set[nn.Module]]: only return the model parameters
2025-03-14T04:34:32.5080013Z         that belong to the submodules.
2025-03-14T04:34:32.5080736Z     options (StateDictOptions): the options to control how
2025-03-14T04:34:32.5081657Z         model state_dict and optimizer state_dict should be returned. See
2025-03-14T04:34:32.5082483Z         `StateDictOptions` for the details.
2025-03-14T04:34:32.5083050Z 
2025-03-14T04:34:32.5083219Z Returns:
2025-03-14T04:34:32.5083812Z     ``Tuple`` that contain model state_dict and optimizer state_dict.
2025-03-14T04:34:32.5084425Z 
2025-03-14T04:34:32.5084865Z :rtype: typing.Tuple[typing.Dict[str, ValueType], OptimizerStateType]
2025-03-14T04:34:32.5085531Z 
2025-03-14T04:34:32.5086005Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:32.5086697Z 
2025-03-14T04:34:32.5095381Z msg = Cannot scrape callname=load in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/state_dict_loader.py line=62.
2025-03-14T04:34:32.5097346Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:32.5098120Z 
2025-03-14T04:34:32.5098463Z Load a checkpoint into a distributed state dict in SPMD style.
2025-03-14T04:34:32.5099065Z 
2025-03-14T04:34:32.5099522Z Each rank must have the same keys in their ``state_dict`` provided to this
2025-03-14T04:34:32.5100215Z API. Mismatched keys may result in hangs or errors. If unsure, you can use
2025-03-14T04:34:32.5100821Z the ``utils._assert_same_keys`` API to check (but may incur communication
2025-03-14T04:34:32.5101278Z costs).
2025-03-14T04:34:32.5101406Z 
2025-03-14T04:34:32.5101616Z Each rank will try to read the least amount of data necessary
2025-03-14T04:34:32.5102167Z to fulfill the requested `state_dict`. When loading :class:`ShardedTensor`
2025-03-14T04:34:32.5102798Z or :class:`DTensor` instances, each rank only reads data for their local shards.
2025-03-14T04:34:32.5103190Z 
2025-03-14T04:34:32.5103462Z For each ``Stateful`` object (having both a ``state_dict`` and a ``load_state_dict``),
2025-03-14T04:34:32.5104135Z load will first call ``state_dict`` before attempting deserialization, followed by
2025-03-14T04:34:32.5104713Z ``load_state_dict`` once the deserialization is complete.
2025-03-14T04:34:32.5105289Z For each non-``Stateful`` object, load will deserailize the object, and then replace
2025-03-14T04:34:32.5106412Z it in the ``state_dict`` with the deserialized object.
2025-03-14T04:34:32.5106890Z 
2025-03-14T04:34:32.5107067Z .. warning::
2025-03-14T04:34:32.5107596Z     All tensors in ``state_dict`` must be allocated on their
2025-03-14T04:34:32.5108415Z     destination device *prior to* calling this function.
2025-03-14T04:34:32.5108966Z 
2025-03-14T04:34:32.5109404Z     All non-tensor data is loaded using `torch.load()` and modified in place
2025-03-14T04:34:32.5110270Z     on state_dict.
2025-03-14T04:34:32.5110558Z 
2025-03-14T04:34:32.5110708Z .. warning::
2025-03-14T04:34:32.5111353Z     Users must call `load_state_dict` on the root module to ensure load
2025-03-14T04:34:32.5112317Z     pos-processing and non-tensor data properly propagates.
2025-03-14T04:34:32.5112888Z 
2025-03-14T04:34:32.5113051Z .. note:
2025-03-14T04:34:32.5113720Z     If no process group is initialized, this function will assume the intent
2025-03-14T04:34:32.5114813Z     is to load a checkpoint into the local process. This can be useful in the
2025-03-14T04:34:32.5116137Z     case of local inference, and when using regular Tensors (as opposed to DTensor
2025-03-14T04:34:32.5117038Z      or ShardedTensor)
2025-03-14T04:34:32.5117339Z 
2025-03-14T04:34:32.5117511Z .. note:
2025-03-14T04:34:32.5117995Z     Rank 0 is assumed to be the coordinator rank.
2025-03-14T04:34:32.5118478Z 
2025-03-14T04:34:32.5118649Z Args:
2025-03-14T04:34:32.5119367Z     state_dict (Dict[str, Any]): The state_dict to load the checkpoint into.
2025-03-14T04:34:32.5120302Z     checkpoint_id (Union[str, os.PathLike, None]):
2025-03-14T04:34:32.5121212Z         The ID of this checkpoint instance. The meaning of the checkpoint_id
2025-03-14T04:34:32.5122214Z         depends on the storage. It can be a path to a folder or to a file.
2025-03-14T04:34:32.5123159Z         It can also be a key if the storage is a key-value store.
2025-03-14T04:34:32.5123831Z         (Default: ``None``)
2025-03-14T04:34:32.5124395Z     storage_reader (Optional[StorageReader]):
2025-03-14T04:34:32.5125314Z         Instance of StorageWriter used to perform reads. If this is not
2025-03-14T04:34:32.5126314Z         specified, DCP will automatically infer the reader based on the
2025-03-14T04:34:32.5127319Z         checkpoint_id. If checkpoint_id is also None, an exception will
2025-03-14T04:34:32.5128144Z         be raised. (Default: ``None``)
2025-03-14T04:34:32.5128780Z     planner (Optional[LoadPlanner]):
2025-03-14T04:34:32.5129556Z         Instance of LoadPlanner. If this is not specificed, the default
2025-03-14T04:34:32.5130394Z         planner will be used. (Default: ``None``)
2025-03-14T04:34:32.5131115Z     process_group (Optional[ProcessGroup]):
2025-03-14T04:34:32.5131943Z         ProcessGroup to be used for cross-rank synchronization.
2025-03-14T04:34:32.5132723Z         (Default: ``None``)
2025-03-14T04:34:32.5133470Z     no_dist (bool): If ``True``, this function will assume the intent is to load
2025-03-14T04:34:32.5134921Z         a checkpoint without using cross-rank synchronization. (Default: ``False``)
2025-03-14T04:34:32.5135781Z Returns:
2025-03-14T04:34:32.5136179Z     None.
2025-03-14T04:34:32.5136387Z 
2025-03-14T04:34:32.5136565Z Examples
2025-03-14T04:34:32.5136959Z     >>> # xdoctest: +SKIP
2025-03-14T04:34:32.5137484Z     >>> my_model = MyModule()
2025-03-14T04:34:32.5138048Z     >>> optimizer = Adagrad(my_model.parameters())
2025-03-14T04:34:32.5138802Z     >>> model_state_dict = my_model.state_dict()
2025-03-14T04:34:32.5139727Z     >>> fs_storage_reader = torch.distributed.checkpoint.FileSystemReader(
2025-03-14T04:34:32.5140602Z     ...     "/checkpoint/1"
2025-03-14T04:34:32.5141082Z     ... )
2025-03-14T04:34:32.5141288Z 
2025-03-14T04:34:32.5141550Z     >>> torch.distributed.checkpoint.load_state_dict(
2025-03-14T04:34:32.5142205Z     >>>     state_dict=model_state_dict,
2025-03-14T04:34:32.5142860Z     >>>     storage_reader=fs_storage_reader,
2025-03-14T04:34:32.5143475Z     >>> )
2025-03-14T04:34:32.5143717Z 
2025-03-14T04:34:32.5144217Z     >>> # module.load_state_dict() function might have customized steps
2025-03-14T04:34:32.5145076Z     >>> # to flush the state_dict, must call it to
2025-03-14T04:34:32.5145737Z     >>> # ensure correct behavior.
2025-03-14T04:34:32.5146374Z     >>> my_model.load_state_dict(model_state_dict)
2025-03-14T04:34:32.5146851Z 
2025-03-14T04:34:32.5147024Z .. note::
2025-03-14T04:34:32.5147648Z     load_state_dict uses collectives to coordinate reads across ranks.
2025-03-14T04:34:32.5148658Z     For NCCL-based process groups, internal tensor representations of
2025-03-14T04:34:32.5149725Z     objects must be moved to the GPU device before communication takes place.
2025-03-14T04:34:32.5150834Z     In this case, the device used is given by ``torch.cuda.current_device()``
2025-03-14T04:34:32.5151854Z     and it is the user's responsibility to ensure that this is set so that each
2025-03-14T04:34:32.5152814Z     rank has an individual GPU, via ``torch.cuda.set_device()``.
2025-03-14T04:34:32.5153472Z 
2025-03-14T04:34:32.5153956Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:32.5154493Z 
2025-03-14T04:34:32.5155264Z msg = Cannot scrape callname=save in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/state_dict_saver.py line=85.
2025-03-14T04:34:32.5156281Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:32.5156757Z 
2025-03-14T04:34:32.5156891Z Save a distributed model in SPMD style.
2025-03-14T04:34:32.5157140Z 
2025-03-14T04:34:32.5157344Z This function is different from ``torch.save()`` as it handles
2025-03-14T04:34:32.5157936Z ``ShardedTensor`` , and ``DTensor`` by having each rank only save their local shards.
2025-03-14T04:34:32.5158334Z 
2025-03-14T04:34:32.5158602Z For each ``Stateful`` object (having both a ``state_dict`` and a ``load_state_dict``),
2025-03-14T04:34:32.5159157Z save will call ``state_dict`` before serialization.
2025-03-14T04:34:32.5159480Z 
2025-03-14T04:34:32.5159586Z .. warning::
2025-03-14T04:34:32.5160284Z     There is no guarantees of Backwards Compatibility across PyTorch versions
2025-03-14T04:34:32.5161155Z     for saved state_dicts.
2025-03-14T04:34:32.5161500Z 
2025-03-14T04:34:32.5161660Z .. warning::
2025-03-14T04:34:32.5162270Z     If using the `process_group` argument, make sure that only its ranks
2025-03-14T04:34:32.5163287Z     call `save_state_dict` and that all data in state_dict belong to it.
2025-03-14T04:34:32.5163890Z 
2025-03-14T04:34:32.5164071Z .. note::
2025-03-14T04:34:32.5164776Z     When saving checkpoint for FSDP's `ShardingStrategy.HYBRID_SHARD`, only one of
2025-03-14T04:34:32.5166012Z     the shard_group should be calling `save_state_dict` and the corresponding process
2025-03-14T04:34:32.5167160Z     group needs to be passed in.
2025-03-14T04:34:32.5167541Z 
2025-03-14T04:34:32.5167705Z .. note::
2025-03-14T04:34:32.5168446Z     If no process group is available, this function assumes the intention is to save the
2025-03-14T04:34:32.5169214Z      state_dict in the local process.
2025-03-14T04:34:32.5169446Z 
2025-03-14T04:34:32.5169556Z .. note:
2025-03-14T04:34:32.5169845Z     Rank 0 is assumed to be the coordinator rank.
2025-03-14T04:34:32.5170107Z 
2025-03-14T04:34:32.5170111Z 
2025-03-14T04:34:32.5170221Z Args:
2025-03-14T04:34:32.5170524Z     state_dict (Dict[str, Any]): The state_dict to save.
2025-03-14T04:34:32.5170954Z     checkpoint_id (Union[str, os.PathLike, None]):
2025-03-14T04:34:32.5171453Z         The ID of this checkpoint instance. The meaning of the checkpoint_id
2025-03-14T04:34:32.5172021Z         depends on the storage. It can be a path to a folder or to a file.
2025-03-14T04:34:32.5172545Z         It can also be a key if the storage is a key-value store.
2025-03-14T04:34:32.5172955Z         (Default: ``None``)
2025-03-14T04:34:32.5173290Z     storage_writer (Optional[StorageWriter]):
2025-03-14T04:34:32.5173765Z         Instance of StorageWriter used to perform writes. If this is not
2025-03-14T04:34:32.5174434Z         specified, DCP will automatically infer the writer based on the
2025-03-14T04:34:32.5174989Z         checkpoint_id. If checkpoint_id is also None, an exception will
2025-03-14T04:34:32.5175445Z         be raised. (Default: ``None``)
2025-03-14T04:34:32.5175797Z     planner (Optional[SavePlanner]):
2025-03-14T04:34:32.5176547Z         Instance of SavePlanner. If this is not specificed, the default
2025-03-14T04:34:32.5177358Z         planner will be used. (Default: ``None``)
2025-03-14T04:34:32.5178040Z     process_group (Optional[ProcessGroup]):
2025-03-14T04:34:32.5178842Z         ProcessGroup to be used for cross-rank synchronization.
2025-03-14T04:34:32.5179600Z         (Default: ``None``)
2025-03-14T04:34:32.5180108Z     no_dist (bool):
2025-03-14T04:34:32.5180709Z         If ``True``, this function will assume the intent is to load
2025-03-14T04:34:32.5181586Z         a checkpoint without using cross-rank synchronization.
2025-03-14T04:34:32.5182324Z         (Default: ``False``)
2025-03-14T04:34:32.5182805Z 
2025-03-14T04:34:32.5182993Z Returns:
2025-03-14T04:34:32.5183506Z     Metadata: Metadata object for the saved checkpoint.
2025-03-14T04:34:32.5184029Z 
2025-03-14T04:34:32.5184187Z Example:
2025-03-14T04:34:32.5184608Z     >>> # xdoctest: +SKIP
2025-03-14T04:34:32.5185084Z     >>> my_model = MyModule()
2025-03-14T04:34:32.5185434Z 
2025-03-14T04:34:32.5185633Z     >>> state_dict = {"model": my_model}
2025-03-14T04:34:32.5186150Z 
2025-03-14T04:34:32.5186571Z     >>> fs_storage_writer = torch.distributed.checkpoint.FileSystemWriter(
2025-03-14T04:34:32.5187441Z     ...     "/checkpoint/1"
2025-03-14T04:34:32.5187932Z     ... )
2025-03-14T04:34:32.5188400Z     >>> torch.distributed.checkpoint.save(
2025-03-14T04:34:32.5189059Z     >>>     state_dict=state_dict,
2025-03-14T04:34:32.5189669Z     >>>     storage_writer=fs_storage_writer,
2025-03-14T04:34:32.5190264Z     >>> )
2025-03-14T04:34:32.5190487Z 
2025-03-14T04:34:32.5190669Z .. note::
2025-03-14T04:34:32.5191326Z     save_state_dict uses collectives to coordinate writes across ranks.
2025-03-14T04:34:32.5192478Z     For NCCL-based process groups, internal tensor representations of
2025-03-14T04:34:32.5193560Z     objects must be moved to the GPU device before communication takes place.
2025-03-14T04:34:32.5194669Z     In this case, the device used is given by ``torch.cuda.current_device()``
2025-03-14T04:34:32.5195836Z     and it is the user's responsibility to ensure that this is set so that
2025-03-14T04:34:32.5196839Z     each rank has an individual GPU, via ``torch.cuda.set_device()``.
2025-03-14T04:34:32.5197442Z 
2025-03-14T04:34:32.5197934Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:32.5198651Z 
2025-03-14T04:34:32.5199914Z msg = Cannot scrape callname=async_save in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/state_dict_saver.py line=195.
2025-03-14T04:34:32.5201906Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:32.5203197Z Asynchronous version of ``save``. This code first de-stages the state_dict on to the
2025-03-14T04:34:32.5204528Z     staging storage (defaults to CPU memory), and then calls the `save` in a separate thread.
2025-03-14T04:34:32.5205339Z 
2025-03-14T04:34:32.5205538Z     .. warning::
2025-03-14T04:34:32.5206107Z         This feature is experimental and subject to change.
2025-03-14T04:34:32.5206634Z 
2025-03-14T04:34:32.5206812Z     Args:
2025-03-14T04:34:32.5207332Z         state_dict (Dict[str, Any]): The state_dict to save.
2025-03-14T04:34:32.5208144Z         checkpoint_id (Union[str, os.PathLike, None]):
2025-03-14T04:34:32.5209063Z             The ID of this checkpoint instance. The meaning of the checkpoint_id
2025-03-14T04:34:32.5210096Z             depends on the storage. It can be a path to a folder or to a file.
2025-03-14T04:34:32.5211048Z             It can also be a key if the storage is a key-value store.
2025-03-14T04:34:32.5211806Z             (Default: ``None``)
2025-03-14T04:34:32.5213163Z         storage_writer (Optional[StorageWriter]):
2025-03-14T04:34:32.5214084Z             Instance of StorageWriter used to perform 'stage' and  'save'. If
2025-03-14T04:34:32.5215194Z             this is not specified, DCP will automatically infer the writer based on the
2025-03-14T04:34:32.5216301Z             checkpoint_id. If checkpoint_id is also None, an exception will
2025-03-14T04:34:32.5217159Z             be raised. (Default: ``None``)
2025-03-14T04:34:32.5217822Z         planner (Optional[SavePlanner]):
2025-03-14T04:34:32.5218654Z             Instance of SavePlanner. If this is not specificed, the default
2025-03-14T04:34:32.5219535Z             planner will be used. (Default: ``None``)
2025-03-14T04:34:32.5220258Z         process_group (Optional[ProcessGroup]):
2025-03-14T04:34:32.5221090Z             ProcessGroup to be used for cross-rank synchronization.
2025-03-14T04:34:32.5221864Z             (Default: ``None``)
2025-03-14T04:34:32.5222301Z 
2025-03-14T04:34:32.5222479Z     Returns:
2025-03-14T04:34:32.5223134Z         Future: A future holding the resultant Metadata object from `save`.
2025-03-14T04:34:32.5223748Z 
2025-03-14T04:34:32.5223919Z     Example:
2025-03-14T04:34:32.5224322Z         >>> # xdoctest: +SKIP
2025-03-14T04:34:32.5224755Z         >>> my_model = MyModule()
2025-03-14T04:34:32.5224960Z 
2025-03-14T04:34:32.5225097Z         >>> state_dict = {"model": my_model}
2025-03-14T04:34:32.5225401Z 
2025-03-14T04:34:32.5225675Z         >>> fs_storage_writer = torch.distributed.checkpoint.FileSystemWriter(
2025-03-14T04:34:32.5226163Z         ...     "/checkpoint/1"
2025-03-14T04:34:32.5226449Z         ... )
2025-03-14T04:34:32.5226820Z         >>> checkpoint_future = torch.distributed.checkpoint.async_save(
2025-03-14T04:34:32.5227289Z         >>>     state_dict=state_dict,
2025-03-14T04:34:32.5227652Z         >>>     storage_writer=fs_storage_writer,
2025-03-14T04:34:32.5228001Z         >>> )
2025-03-14T04:34:32.5228240Z         >>>
2025-03-14T04:34:32.5228531Z         >>> # ... do some work ...
2025-03-14T04:34:32.5228841Z         >>>
2025-03-14T04:34:32.5229103Z         >>> checkpoint_future.result()
2025-03-14T04:34:32.5229329Z 
2025-03-14T04:34:32.5229436Z     
2025-03-14T04:34:32.5229833Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:32.5230220Z 
2025-03-14T04:34:32.5299904Z msg = Cannot scrape callname=construct_and_record_rdzv_event in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/elastic/events/__init__.py line=94.
2025-03-14T04:34:32.5301052Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:32.5301464Z 
2025-03-14T04:34:32.5301680Z Initialize rendezvous event object and record its operations.
2025-03-14T04:34:32.5302024Z 
2025-03-14T04:34:32.5302116Z Args:
2025-03-14T04:34:32.5302389Z     run_id (str): The run id of the rendezvous.
2025-03-14T04:34:32.5302804Z     message (str): The message describing the event.
2025-03-14T04:34:32.5303357Z     node_state (NodeState): The state of the node (INIT, RUNNING, SUCCEEDED, FAILED).
2025-03-14T04:34:32.5303950Z     name (str): Event name. (E.g. Current action being performed).
2025-03-14T04:34:32.5304393Z     hostname (str): Hostname of the node.
2025-03-14T04:34:32.5305131Z     pid (Optional[int]): The process id of the node.
2025-03-14T04:34:32.5306046Z     master_endpoint (str): The master endpoint for the rendezvous store, if known.
2025-03-14T04:34:32.5307221Z     local_id (Optional[int]):  The local_id of the node, if defined in dynamic_rendezvous.py
2025-03-14T04:34:32.5308276Z     rank (Optional[int]): The rank of the node, if known.
2025-03-14T04:34:32.5308989Z Returns:
2025-03-14T04:34:32.5309386Z     None
2025-03-14T04:34:32.5309756Z Example:
2025-03-14T04:34:32.5310229Z     >>> # See DynamicRendezvousHandler class
2025-03-14T04:34:32.5310875Z     >>> def _record(
2025-03-14T04:34:32.5311344Z     ...     self,
2025-03-14T04:34:32.5311797Z     ...     message: str,
2025-03-14T04:34:32.5312544Z     ...     node_state: NodeState = NodeState.RUNNING,
2025-03-14T04:34:32.5313249Z     ...     rank: Optional[int] = None,
2025-03-14T04:34:32.5313841Z     ... ) -> None:
2025-03-14T04:34:32.5314328Z     ...     construct_and_record_rdzv_event(
2025-03-14T04:34:32.5315076Z     ...         name=f"{self.__class__.__name__}.{get_method_name()}",
2025-03-14T04:34:32.5315956Z     ...         run_id=self._settings.run_id,
2025-03-14T04:34:32.5316604Z     ...         message=message,
2025-03-14T04:34:32.5317178Z     ...         node_state=node_state,
2025-03-14T04:34:32.5317813Z     ...         hostname=self._this_node.addr,
2025-03-14T04:34:32.5318472Z     ...         pid=self._this_node.pid,
2025-03-14T04:34:32.5319080Z     ...         local_id=self._this_node.local_id,
2025-03-14T04:34:32.5319712Z     ...         rank=rank,
2025-03-14T04:34:32.5320148Z     ...     )
2025-03-14T04:34:32.5320377Z 
2025-03-14T04:34:32.5320664Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:32.5321173Z 
2025-03-14T04:34:32.8804863Z msg = Cannot scrape callname=MixedPrecision in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/api.py line=114.
2025-03-14T04:34:32.8806725Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:32.8807423Z 
2025-03-14T04:34:32.8807747Z This configures FSDP-native mixed precision training.
2025-03-14T04:34:32.8808500Z 
2025-03-14T04:34:32.8808667Z Attributes:
2025-03-14T04:34:32.8809360Z     param_dtype (Optional[torch.dtype]): This specifies the dtype for model
2025-03-14T04:34:32.8810436Z         parameters during forward and backward and thus the dtype for
2025-03-14T04:34:32.8811492Z         forward and backward computation. Outside forward and backward, the
2025-03-14T04:34:32.8812560Z         *sharded* parameters are kept in full precision (e.g. for the
2025-03-14T04:34:32.8813573Z         optimizer step), and for model checkpointing, the parameters are
2025-03-14T04:34:32.8814660Z         always saved in full precision. (Default: ``None``)
2025-03-14T04:34:32.8815613Z     reduce_dtype (Optional[torch.dtype]): This specifies the dtype for
2025-03-14T04:34:32.8816690Z         gradient reduction (i.e. reduce-scatter or all-reduce). If this is
2025-03-14T04:34:32.8817639Z         ``None`` but ``param_dtype`` is not ``None``, then this takes on
2025-03-14T04:34:32.8818489Z         the ``param_dtype`` value, still running gradient reduction in low
2025-03-14T04:34:32.8819511Z         precision. This is permitted to differ from ``param_dtype``, e.g.
2025-03-14T04:34:32.8820544Z         to force gradient reduction to run in full precision. (Default:
2025-03-14T04:34:32.8821337Z         ``None``)
2025-03-14T04:34:32.8822019Z     buffer_dtype (Optional[torch.dtype]): This specifies the dtype for
2025-03-14T04:34:32.8823057Z         buffers. FSDP does not shard buffers. Rather, FSDP casts them to
2025-03-14T04:34:32.8824066Z         ``buffer_dtype`` in the first forward pass and keeps them in that
2025-03-14T04:34:32.8825121Z         dtype thereafter. For model checkpointing, the buffers are saved
2025-03-14T04:34:32.8826074Z         in full precision except for ``LOCAL_STATE_DICT``. (Default:
2025-03-14T04:34:32.8842787Z         ``None``)
2025-03-14T04:34:32.8843482Z     keep_low_precision_grads (bool): If ``False``, then FSDP upcasts
2025-03-14T04:34:32.8844511Z         gradients to full precision after the backward pass in preparation
2025-03-14T04:34:32.8845547Z         for the optimizer step. If ``True``, then FSDP keeps the gradients
2025-03-14T04:34:32.8846577Z         in the dtype used for gradient reduction, which can save memory if
2025-03-14T04:34:32.8847610Z         using a custom optimizer that supports running in low precision.
2025-03-14T04:34:32.8848439Z         (Default: ``False``)
2025-03-14T04:34:32.8849165Z     cast_forward_inputs (bool): If ``True``, then this FSDP module casts
2025-03-14T04:34:32.8850204Z         its forward args and kwargs to ``param_dtype``. This is to ensure
2025-03-14T04:34:32.8851433Z         that parameter and input dtypes match for forward computation, as
2025-03-14T04:34:32.8852482Z         required by many ops. This may need to be set to ``True`` when only
2025-03-14T04:34:32.8853537Z         applying mixed precision to some but not all FSDP modules, in which
2025-03-14T04:34:32.8854613Z         case a mixed-precision FSDP submodule needs to recast its inputs.
2025-03-14T04:34:32.8855441Z         (Default: ``False``)
2025-03-14T04:34:32.8856213Z     cast_root_forward_inputs (bool): If ``True``, then the root FSDP module
2025-03-14T04:34:32.8857278Z         casts its forward args and kwargs to ``param_dtype``, overriding
2025-03-14T04:34:32.8858186Z         the value of ``cast_forward_inputs``. For non-root FSDP modules,
2025-03-14T04:34:32.8859039Z         this does not do anything. (Default: ``True``)
2025-03-14T04:34:32.8859954Z     _module_classes_to_ignore: (Sequence[Type[nn.Module]]): This specifies
2025-03-14T04:34:32.8861129Z         module classes to ignore for mixed precision when using an
2025-03-14T04:34:32.8862061Z         ``auto_wrap_policy``: Modules of these classes will have FSDP
2025-03-14T04:34:32.8863044Z         applied to them separately with mixed precision disabled (meaning
2025-03-14T04:34:32.8864075Z         that the final FSDP construction would deviate from the specified
2025-03-14T04:34:32.8865152Z         policy). If ``auto_wrap_policy`` is not specified, then this does
2025-03-14T04:34:32.8866134Z         not do anything. This API is experimental and subject to change.
2025-03-14T04:34:32.8867197Z         (Default: ``(_BatchNorm,)``)
2025-03-14T04:34:32.8867617Z 
2025-03-14T04:34:32.8867958Z .. note:: This API is experimental and subject to change.
2025-03-14T04:34:32.8868496Z 
2025-03-14T04:34:32.8868914Z .. note:: Only floating point tensors are cast to their specified dtypes.
2025-03-14T04:34:32.8869577Z 
2025-03-14T04:34:32.8869926Z .. note:: In ``summon_full_params``, parameters are forced to full
2025-03-14T04:34:32.8870862Z     precision, but buffers are not.
2025-03-14T04:34:32.8871255Z 
2025-03-14T04:34:32.8871665Z .. note:: Layer norm and batch norm accumulate in ``float32`` even when
2025-03-14T04:34:32.8872692Z     their inputs are in a low precision like ``float16`` or ``bfloat16``.
2025-03-14T04:34:32.8873763Z     Disabling FSDP's mixed precision for those norm modules only means that
2025-03-14T04:34:32.8874879Z     the affine parameters are kept in ``float32``. However, this incurs
2025-03-14T04:34:32.8875997Z     separate all-gathers and reduce-scatters for those norm modules, which
2025-03-14T04:34:32.8877007Z     may be inefficient, so if the workload permits, the user should prefer
2025-03-14T04:34:32.8877934Z     to still apply mixed precision to those modules.
2025-03-14T04:34:32.8878440Z 
2025-03-14T04:34:32.8878854Z .. note:: By default, if the user passes a model with any ``_BatchNorm``
2025-03-14T04:34:32.8879894Z     modules and specifies an ``auto_wrap_policy``, then the batch norm
2025-03-14T04:34:32.8880984Z     modules will have FSDP applied to them separately with mixed precision
2025-03-14T04:34:32.8882004Z     disabled. See the ``_module_classes_to_ignore`` argument.
2025-03-14T04:34:32.8882572Z 
2025-03-14T04:34:32.8882981Z .. note:: ``MixedPrecision`` has ``cast_root_forward_inputs=True`` and
2025-03-14T04:34:32.8884007Z     ``cast_forward_inputs=False`` by default. For the root FSDP instance,
2025-03-14T04:34:32.8884978Z     its ``cast_root_forward_inputs`` takes precedence over its
2025-03-14T04:34:32.8885863Z     ``cast_forward_inputs``. For non-root FSDP instances, their
2025-03-14T04:34:32.8886853Z     ``cast_root_forward_inputs`` values are ignored. The default setting is
2025-03-14T04:34:32.8887919Z     sufficient for the typical case where each FSDP instance has the same
2025-03-14T04:34:32.8889040Z     ``MixedPrecision`` configuration and only needs to cast inputs to the
2025-03-14T04:34:32.8890069Z     ``param_dtype`` at the beginning of the model's forward pass.
2025-03-14T04:34:32.8890650Z 
2025-03-14T04:34:32.8891178Z .. note:: For nested FSDP instances with different ``MixedPrecision``
2025-03-14T04:34:32.8892263Z     configurations, we recommend setting individual ``cast_forward_inputs``
2025-03-14T04:34:32.8893325Z     values to configure casting inputs or not before each instance's
2025-03-14T04:34:32.8894309Z     forward. In such a case, since the casts happen before each FSDP
2025-03-14T04:34:32.8895340Z     instance's forward, a parent FSDP instance should have its non-FSDP
2025-03-14T04:34:32.8896474Z     submodules run before its FSDP submodules to avoid the activation dtype
2025-03-14T04:34:32.8897565Z     being changed due to a different ``MixedPrecision`` configuration.
2025-03-14T04:34:32.8898217Z 
2025-03-14T04:34:32.8898395Z     Example::
2025-03-14T04:34:32.8898659Z 
2025-03-14T04:34:32.8898904Z         >>> # xdoctest: +SKIP("undefined variables")
2025-03-14T04:34:32.8899690Z         >>> model = nn.Sequential(nn.Linear(3, 3), nn.Linear(3, 3))
2025-03-14T04:34:32.8900560Z         >>> model[1] = FSDP(
2025-03-14T04:34:32.8901080Z         >>>     model[1],
2025-03-14T04:34:32.8901985Z         >>>     mixed_precision=MixedPrecision(param_dtype=torch.float16, cast_forward_inputs=True),
2025-03-14T04:34:32.8902989Z         >>> )
2025-03-14T04:34:32.8903413Z         >>> model = FSDP(
2025-03-14T04:34:32.8903900Z         >>>     model,
2025-03-14T04:34:32.8904882Z         >>>     mixed_precision=MixedPrecision(param_dtype=torch.bfloat16, cast_forward_inputs=True),
2025-03-14T04:34:32.8905900Z         >>> )
2025-03-14T04:34:32.8906150Z 
2025-03-14T04:34:32.8906562Z     The above shows a working example. On the other hand, if ``model[1]``
2025-03-14T04:34:32.8907589Z     were replaced with ``model[0]``, meaning that the submodule using
2025-03-14T04:34:32.8908640Z     different ``MixedPrecision`` ran its forward first, then ``model[1]``
2025-03-14T04:34:32.8909751Z     would incorrectly see ``float16`` activations instead of ``bfloat16``
2025-03-14T04:34:32.8910649Z     ones.
2025-03-14T04:34:32.8910879Z 
2025-03-14T04:34:32.8910891Z 
2025-03-14T04:34:32.8911399Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:32.8912122Z 
2025-03-14T04:34:32.8913336Z msg = Cannot scrape callname=FullStateDictConfig in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/api.py line=295.
2025-03-14T04:34:32.8915336Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:32.8916072Z 
2025-03-14T04:34:32.8916484Z ``FullStateDictConfig`` is a config class meant to be used with
2025-03-14T04:34:32.8917491Z ``StateDictType.FULL_STATE_DICT``. We recommend enabling both
2025-03-14T04:34:32.8918483Z ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state
2025-03-14T04:34:32.8919533Z dicts to save GPU memory and CPU memory, respectively. This config class
2025-03-14T04:34:32.8920573Z is meant to be used via the :func:`state_dict_type` context manager as
2025-03-14T04:34:32.8921354Z follows:
2025-03-14T04:34:32.8921574Z 
2025-03-14T04:34:32.8921849Z     >>> # xdoctest: +SKIP("undefined variables")
2025-03-14T04:34:32.8922804Z     >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-03-14T04:34:32.8923654Z     >>> fsdp = FSDP(model, auto_wrap_policy=...)
2025-03-14T04:34:32.8924463Z     >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True)
2025-03-14T04:34:32.8925467Z     >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg):
2025-03-14T04:34:32.8926231Z     >>>     state = fsdp.state_dict()
2025-03-14T04:34:32.8926919Z     >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0.
2025-03-14T04:34:32.8927912Z     >>> # To reload checkpoint for inference, finetuning, transfer learning, etc:
2025-03-14T04:34:32.8929001Z     >>> model = model_fn()  # Initialize model in preparation for wrapping with FSDP
2025-03-14T04:34:32.8929841Z     >>> if dist.get_rank() == 0:
2025-03-14T04:34:32.8930626Z     >>> # Load checkpoint only on rank 0 to avoid memory redundancy
2025-03-14T04:34:32.8931424Z     >>>     state_dict = torch.load("my_checkpoint.pt")
2025-03-14T04:34:32.8932150Z     >>>     model.load_state_dict(state_dict)
2025-03-14T04:34:32.8933078Z     >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument
2025-03-14T04:34:32.8934520Z     >>> # communicates loaded checkpoint states from rank 0 to rest of the world.
2025-03-14T04:34:32.8935420Z     >>> fsdp = FSDP(
2025-03-14T04:34:32.8935860Z     ...     model,
2025-03-14T04:34:32.8936304Z     ...     device_id=torch.cuda.current_device(),
2025-03-14T04:34:32.8936968Z     ...     auto_wrap_policy=...,
2025-03-14T04:34:32.8937532Z     ...     sync_module_states=True,
2025-03-14T04:34:32.8938057Z     ... )
2025-03-14T04:34:32.8938658Z     >>> # After this point, all ranks have FSDP model with loaded checkpoint.
2025-03-14T04:34:32.8939305Z 
2025-03-14T04:34:32.8939490Z Attributes:
2025-03-14T04:34:32.8940092Z     rank0_only (bool): If ``True``, then only rank 0 saves the full state
2025-03-14T04:34:32.8941193Z         dict, and nonzero ranks save an empty dict. If ``False``, then all
2025-03-14T04:34:32.8942111Z         ranks save the full state dict. (Default: ``False``)
2025-03-14T04:34:32.8942642Z 
2025-03-14T04:34:32.8943130Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:32.8943871Z 
2025-03-14T04:34:32.8997990Z msg = Cannot scrape callname=FullyShardedDataParallel.set_state_dict_type in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=639.
2025-03-14T04:34:32.9000384Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:32.9001581Z Set the ``state_dict_type`` of all the descendant FSDP modules of the target module.
2025-03-14T04:34:32.9002288Z 
2025-03-14T04:34:32.9002753Z         Also takes (optional) configuration for the model's and optimizer's state dict.
2025-03-14T04:34:32.9004022Z         The target module does not have to be a FSDP module. If the target
2025-03-14T04:34:32.9005105Z         module is a FSDP module, its ``state_dict_type`` will also be changed.
2025-03-14T04:34:32.9005762Z 
2025-03-14T04:34:32.9006174Z         .. note:: This API should be called for only the top-level (root)
2025-03-14T04:34:32.9006975Z             module.
2025-03-14T04:34:32.9007252Z 
2025-03-14T04:34:32.9007679Z         .. note:: This API enables users to transparently use the conventional
2025-03-14T04:34:32.9008692Z             ``state_dict`` API to take model checkpoints in cases where the
2025-03-14T04:34:32.9009720Z             root FSDP module is wrapped by another ``nn.Module``. For example,
2025-03-14T04:34:32.9010774Z             the following will ensure ``state_dict`` is called on all non-FSDP
2025-03-14T04:34:32.9011894Z             instances, while dispatching into `sharded_state_dict` implementation
2025-03-14T04:34:32.9012765Z             for FSDP:
2025-03-14T04:34:32.9013070Z 
2025-03-14T04:34:32.9013246Z         Example::
2025-03-14T04:34:32.9013521Z 
2025-03-14T04:34:32.9013769Z             >>> # xdoctest: +SKIP("undefined variables")
2025-03-14T04:34:32.9014442Z             >>> model = DDP(FSDP(...))
2025-03-14T04:34:32.9015059Z             >>> FSDP.set_state_dict_type(
2025-03-14T04:34:32.9015663Z             >>>     model,
2025-03-14T04:34:32.9016227Z             >>>     StateDictType.SHARDED_STATE_DICT,
2025-03-14T04:34:32.9017106Z             >>>     state_dict_config = ShardedStateDictConfig(offload_to_cpu=True),
2025-03-14T04:34:32.9018207Z             >>>     optim_state_dict_config = OptimStateDictConfig(offload_to_cpu=True),
2025-03-14T04:34:32.9019052Z             >>> )
2025-03-14T04:34:32.9019572Z             >>> param_state_dict = model.state_dict()
2025-03-14T04:34:32.9020389Z             >>> optim_state_dict = FSDP.optim_state_dict(model, optim)
2025-03-14T04:34:32.9020961Z 
2025-03-14T04:34:32.9021135Z         Args:
2025-03-14T04:34:32.9021630Z             module (torch.nn.Module): Root module.
2025-03-14T04:34:32.9022675Z             state_dict_type (StateDictType): the desired ``state_dict_type`` to set.
2025-03-14T04:34:32.9023849Z             state_dict_config (Optional[StateDictConfig]): the configuration for the
2025-03-14T04:34:32.9024767Z                 target ``state_dict_type``.
2025-03-14T04:34:32.9025688Z             optim_state_dict_config (Optional[OptimStateDictConfig]): the configuration
2025-03-14T04:34:32.9026675Z                 for the optimizer state dict.
2025-03-14T04:34:32.9027127Z 
2025-03-14T04:34:32.9027312Z         Returns:
2025-03-14T04:34:32.9028033Z             A StateDictSettings that include the previous state_dict type and
2025-03-14T04:34:32.9028927Z             configuration for the module.
2025-03-14T04:34:32.9029511Z         
2025-03-14T04:34:32.9030236Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:32.9030991Z 
2025-03-14T04:34:32.9032668Z msg = Cannot scrape callname=FullyShardedDataParallel.state_dict_type in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=797.
2025-03-14T04:34:32.9035507Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:32.9036784Z Set the ``state_dict_type`` of all the descendant FSDP modules of the target module.
2025-03-14T04:34:32.9037516Z 
2025-03-14T04:34:32.9038247Z         This context manager has the same functions as :meth:`set_state_dict_type`. Read the document of
2025-03-14T04:34:32.9039388Z         :meth:`set_state_dict_type` for the detail.
2025-03-14T04:34:32.9039801Z 
2025-03-14T04:34:32.9040001Z         Example::
2025-03-14T04:34:32.9040271Z 
2025-03-14T04:34:32.9040514Z             >>> # xdoctest: +SKIP("undefined variables")
2025-03-14T04:34:32.9041144Z             >>> model = DDP(FSDP(...))
2025-03-14T04:34:32.9041760Z             >>> with FSDP.state_dict_type(
2025-03-14T04:34:32.9042358Z             >>>     model,
2025-03-14T04:34:32.9043000Z             >>>     StateDictType.SHARDED_STATE_DICT,
2025-03-14T04:34:32.9043651Z             >>> ):
2025-03-14T04:34:32.9044153Z             >>>     checkpoint = model.state_dict()
2025-03-14T04:34:32.9044579Z 
2025-03-14T04:34:32.9044739Z         Args:
2025-03-14T04:34:32.9045215Z             module (torch.nn.Module): Root module.
2025-03-14T04:34:32.9046115Z             state_dict_type (StateDictType): the desired ``state_dict_type`` to set.
2025-03-14T04:34:32.9047226Z             state_dict_config (Optional[StateDictConfig]): the model ``state_dict``
2025-03-14T04:34:32.9048210Z                 configuration for the target ``state_dict_type``.
2025-03-14T04:34:32.9049183Z             optim_state_dict_config (Optional[OptimStateDictConfig]): the optimizer
2025-03-14T04:34:32.9050282Z                ``state_dict`` configuration for the target ``state_dict_type``.
2025-03-14T04:34:32.9051061Z         
2025-03-14T04:34:32.9051776Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:32.9052532Z 
2025-03-14T04:34:32.9080055Z msg = Cannot scrape callname=FullyShardedDataParallel.optim_state_dict in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=1810.
2025-03-14T04:34:32.9082466Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:32.9083207Z 
2025-03-14T04:34:32.9083687Z Transform the state-dict of an optimizer corresponding to a sharded model.
2025-03-14T04:34:32.9084392Z 
2025-03-14T04:34:32.9084719Z The given state-dict can be transformed to one of three types:
2025-03-14T04:34:32.9085773Z 1) full optimizer state_dict, 2) sharded optimizer state_dict, 3) local optimizer state_dict.
2025-03-14T04:34:32.9086628Z 
2025-03-14T04:34:32.9087085Z For full optimizer state_dict, all states are unflattened and not sharded.
2025-03-14T04:34:32.9088214Z Rank0 only and CPU only can be specified via :meth:`state_dict_type` to
2025-03-14T04:34:32.9089131Z avoid OOM.
2025-03-14T04:34:32.9089501Z 
2025-03-14T04:34:32.9089987Z For sharded optimizer state_dict, all states are unflattened but sharded.
2025-03-14T04:34:32.9091103Z CPU only can be specified via :meth:`state_dict_type` to further save
2025-03-14T04:34:32.9091910Z memory.
2025-03-14T04:34:32.9092135Z 
2025-03-14T04:34:32.9092564Z For local state_dict, no transformation will be performed. But a state
2025-03-14T04:34:32.9093673Z will be converted from nn.Tensor to ShardedTensor to represent its sharding
2025-03-14T04:34:32.9094588Z nature (this is not supported yet).
2025-03-14T04:34:32.9095004Z 
2025-03-14T04:34:32.9095183Z Example::
2025-03-14T04:34:32.9095436Z 
2025-03-14T04:34:32.9095669Z     >>> # xdoctest: +SKIP("undefined variables")
2025-03-14T04:34:32.9096546Z     >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-03-14T04:34:32.9097370Z     >>> from torch.distributed.fsdp import StateDictType
2025-03-14T04:34:32.9097858Z     >>> from torch.distributed.fsdp import FullStateDictConfig
2025-03-14T04:34:32.9098502Z     >>> from torch.distributed.fsdp import FullOptimStateDictConfig
2025-03-14T04:34:32.9098948Z     >>> # Save a checkpoint
2025-03-14T04:34:32.9099254Z     >>> model, optim = ...
2025-03-14T04:34:32.9099560Z     >>> FSDP.set_state_dict_type(
2025-03-14T04:34:32.9099867Z     >>>     model,
2025-03-14T04:34:32.9100150Z     >>>     StateDictType.FULL_STATE_DICT,
2025-03-14T04:34:32.9100571Z     >>>     FullStateDictConfig(rank0_only=False),
2025-03-14T04:34:32.9100988Z     >>>     FullOptimStateDictConfig(rank0_only=False),
2025-03-14T04:34:32.9101356Z     >>> )
2025-03-14T04:34:32.9101610Z     >>> state_dict = model.state_dict()
2025-03-14T04:34:32.9102024Z     >>> optim_state_dict = FSDP.optim_state_dict(model, optim)
2025-03-14T04:34:32.9102481Z     >>> save_a_checkpoint(state_dict, optim_state_dict)
2025-03-14T04:34:32.9102860Z     >>> # Load a checkpoint
2025-03-14T04:34:32.9103156Z     >>> model, optim = ...
2025-03-14T04:34:32.9103538Z     >>> state_dict, optim_state_dict = load_a_checkpoint()
2025-03-14T04:34:32.9104255Z     >>> FSDP.set_state_dict_type(
2025-03-14T04:34:32.9104794Z     >>>     model,
2025-03-14T04:34:32.9105244Z     >>>     StateDictType.FULL_STATE_DICT,
2025-03-14T04:34:32.9105886Z     >>>     FullStateDictConfig(rank0_only=False),
2025-03-14T04:34:32.9106609Z     >>>     FullOptimStateDictConfig(rank0_only=False),
2025-03-14T04:34:32.9107260Z     >>> )
2025-03-14T04:34:32.9107705Z     >>> model.load_state_dict(state_dict)
2025-03-14T04:34:32.9108419Z     >>> optim_state_dict = FSDP.optim_state_dict_to_load(
2025-03-14T04:34:32.9109124Z     >>>     model, optim, optim_state_dict
2025-03-14T04:34:32.9109704Z     >>> )
2025-03-14T04:34:32.9110164Z     >>> optim.load_state_dict(optim_state_dict)
2025-03-14T04:34:32.9110625Z 
2025-03-14T04:34:32.9110802Z Args:
2025-03-14T04:34:32.9111386Z     model (torch.nn.Module): Root module (which may or may not be a
2025-03-14T04:34:32.9112361Z         :class:`FullyShardedDataParallel` instance) whose parameters
2025-03-14T04:34:32.9113211Z         were passed into the optimizer ``optim``.
2025-03-14T04:34:32.9114027Z     optim (torch.optim.Optimizer): Optimizer for ``model`` 's
2025-03-14T04:34:32.9114777Z         parameters.
2025-03-14T04:34:32.9115539Z     optim_state_dict (Dict[str, Any]): the target optimizer state_dict to
2025-03-14T04:34:32.9116589Z         transform. If the value is None, optim.state_dict() will be used. (
2025-03-14T04:34:32.9117423Z         Default: ``None``)
2025-03-14T04:34:32.9118212Z     group (dist.ProcessGroup): Model's process group across which parameters
2025-03-14T04:34:32.9119277Z         are sharded or ``None`` if using the default process group. (
2025-03-14T04:34:32.9120037Z         Default: ``None``)
2025-03-14T04:34:32.9120375Z 
2025-03-14T04:34:32.9120539Z Returns:
2025-03-14T04:34:32.9121143Z     Dict[str, Any]: A :class:`dict` containing the optimizer state for
2025-03-14T04:34:32.9122071Z     ``model``. The sharding of the optimizer state is based on
2025-03-14T04:34:32.9122818Z     ``state_dict_type``.
2025-03-14T04:34:32.9123253Z 
2025-03-14T04:34:32.9123746Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:32.9124484Z 
2025-03-14T04:34:32.9126169Z msg = Cannot scrape callname=FullyShardedDataParallel.optim_state_dict_to_load in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=1908.
2025-03-14T04:34:32.9128545Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:32.9129272Z 
2025-03-14T04:34:32.9129908Z Convert an optimizer state-dict so that it can be loaded into the optimizer associated with the FSDP model.
2025-03-14T04:34:32.9130817Z 
2025-03-14T04:34:32.9131120Z Given a ``optim_state_dict`` that is transformed through
2025-03-14T04:34:32.9132024Z :meth:`optim_state_dict`, it gets converted to the flattened optimizer
2025-03-14T04:34:32.9133054Z state_dict that can be loaded to ``optim`` which is the optimizer for
2025-03-14T04:34:32.9134429Z ``model``. ``model`` must be sharded by FullyShardedDataParallel.
2025-03-14T04:34:32.9135001Z 
2025-03-14T04:34:32.9135234Z     >>> # xdoctest: +SKIP("undefined variables")
2025-03-14T04:34:32.9136110Z     >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-03-14T04:34:32.9137024Z     >>> from torch.distributed.fsdp import StateDictType
2025-03-14T04:34:32.9137984Z     >>> from torch.distributed.fsdp import FullStateDictConfig
2025-03-14T04:34:32.9138955Z     >>> from torch.distributed.fsdp import FullOptimStateDictConfig
2025-03-14T04:34:32.9139767Z     >>> # Save a checkpoint
2025-03-14T04:34:32.9140304Z     >>> model, optim = ...
2025-03-14T04:34:32.9140835Z     >>> FSDP.set_state_dict_type(
2025-03-14T04:34:32.9141337Z     >>>     model,
2025-03-14T04:34:32.9141810Z     >>>     StateDictType.FULL_STATE_DICT,
2025-03-14T04:34:32.9142488Z     >>>     FullStateDictConfig(rank0_only=False),
2025-03-14T04:34:32.9143206Z     >>>     FullOptimStateDictConfig(rank0_only=False),
2025-03-14T04:34:32.9143956Z     >>> )
2025-03-14T04:34:32.9144398Z     >>> state_dict = model.state_dict()
2025-03-14T04:34:32.9145034Z     >>> original_osd = optim.state_dict()
2025-03-14T04:34:32.9145698Z     >>> optim_state_dict = FSDP.optim_state_dict(
2025-03-14T04:34:32.9146327Z     >>>     model,
2025-03-14T04:34:32.9146721Z     >>>     optim,
2025-03-14T04:34:32.9147083Z     >>>     optim_state_dict=original_osd
2025-03-14T04:34:32.9147416Z     >>> )
2025-03-14T04:34:32.9147706Z     >>> save_a_checkpoint(state_dict, optim_state_dict)
2025-03-14T04:34:32.9148092Z     >>> # Load a checkpoint
2025-03-14T04:34:32.9148390Z     >>> model, optim = ...
2025-03-14T04:34:32.9148740Z     >>> state_dict, optim_state_dict = load_a_checkpoint()
2025-03-14T04:34:32.9149147Z     >>> FSDP.set_state_dict_type(
2025-03-14T04:34:32.9149460Z     >>>     model,
2025-03-14T04:34:32.9149745Z     >>>     StateDictType.FULL_STATE_DICT,
2025-03-14T04:34:32.9150112Z     >>>     FullStateDictConfig(rank0_only=False),
2025-03-14T04:34:32.9150537Z     >>>     FullOptimStateDictConfig(rank0_only=False),
2025-03-14T04:34:32.9150906Z     >>> )
2025-03-14T04:34:32.9151165Z     >>> model.load_state_dict(state_dict)
2025-03-14T04:34:32.9151562Z     >>> optim_state_dict = FSDP.optim_state_dict_to_load(
2025-03-14T04:34:32.9151964Z     >>>     model, optim, optim_state_dict
2025-03-14T04:34:32.9152292Z     >>> )
2025-03-14T04:34:32.9152564Z     >>> optim.load_state_dict(optim_state_dict)
2025-03-14T04:34:32.9152823Z 
2025-03-14T04:34:32.9152912Z Args:
2025-03-14T04:34:32.9153250Z     model (torch.nn.Module): Root module (which may or may not be a
2025-03-14T04:34:32.9153790Z         :class:`FullyShardedDataParallel` instance) whose parameters
2025-03-14T04:34:32.9154597Z         were passed into the optimizer ``optim``.
2025-03-14T04:34:32.9155455Z     optim (torch.optim.Optimizer): Optimizer for ``model`` 's
2025-03-14T04:34:32.9156164Z         parameters.
2025-03-14T04:34:32.9156927Z     optim_state_dict (Dict[str, Any]): The optimizer states to be loaded.
2025-03-14T04:34:32.9157960Z     is_named_optimizer (bool): Is this optimizer a NamedOptimizer or
2025-03-14T04:34:32.9158940Z         KeyedOptimizer. Only set to True if ``optim`` is TorchRec's
2025-03-14T04:34:32.9159883Z         KeyedOptimizer or torch.distributed's NamedOptimizer.
2025-03-14T04:34:32.9160805Z     load_directly (bool): If this is set to True, this API will also
2025-03-14T04:34:32.9161812Z         call optim.load_state_dict(result) before returning the result.
2025-03-14T04:34:32.9162872Z         Otherwise, users are responsible to call ``optim.load_state_dict()``
2025-03-14T04:34:32.9163708Z         (Default: ``False``)
2025-03-14T04:34:32.9164485Z     group (dist.ProcessGroup): Model's process group across which parameters
2025-03-14T04:34:32.9165545Z         are sharded or ``None`` if using the default process group. (
2025-03-14T04:34:32.9166322Z         Default: ``None``)
2025-03-14T04:34:32.9166655Z 
2025-03-14T04:34:32.9167428Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:32.9168170Z 
2025-03-14T04:34:32.9631202Z msg = Cannot scrape callname=_RemoteModule.__init__ in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/nn/api/remote_module.py line=128.
2025-03-14T04:34:32.9633299Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:32.9634312Z 
2025-03-14T04:34:32.9634950Z RemoteModule instance can only be created after RPC initialization.
2025-03-14T04:34:32.9635686Z 
2025-03-14T04:34:32.9636084Z It creates a user-specified module on a specified remote node.
2025-03-14T04:34:32.9637150Z It behaves like a regular ``nn.Module`` except that the ``forward`` method is
2025-03-14T04:34:32.9638001Z executed on the remote node.
2025-03-14T04:34:32.9638786Z It takes care of autograd recording to ensure the backward pass propagates
2025-03-14T04:34:32.9639770Z gradients back to the corresponding remote module.
2025-03-14T04:34:32.9641091Z It can be shared across processors using `RPC framework <https://pytorch.org/docs/stable/rpc.html>`__,
2025-03-14T04:34:32.9642366Z without incurring any overheads of copying the actual module,
2025-03-14T04:34:32.9643351Z which is equivalent to an :class:`~torch.distributed.rpc.RRef`
2025-03-14T04:34:32.9644091Z pointing to the remote module.
2025-03-14T04:34:32.9644441Z 
2025-03-14T04:34:32.9644799Z The arguments of ``forward_async`` and ``forward`` are the same as
2025-03-14T04:34:32.9645842Z the ``forward`` method of the module returned by the ``module_cls``.
2025-03-14T04:34:32.9646484Z 
2025-03-14T04:34:32.9647080Z Apart from ``forward_async`` and ``forward``, no other methods are supported from nn.Module for now.
2025-03-14T04:34:32.9647927Z 
2025-03-14T04:34:32.9648409Z Particularly, to create a hybrid model, typically the local modules should be
2025-03-14T04:34:32.9649880Z created outside of remote modules, rather than as submodules of any remote module (by calling ``add_module``).
2025-03-14T04:34:32.9651033Z Hybrid Example:
2025-03-14T04:34:32.9651507Z         >>> class HybridModel(nn.Module):
2025-03-14T04:34:32.9652146Z         >>>     def __init__(self) -> None:
2025-03-14T04:34:32.9652792Z         >>>         nn.Module.__init__(self)
2025-03-14T04:34:32.9653460Z         >>>         self.remote_embedding = RemoteModule(...)
2025-03-14T04:34:32.9654201Z         >>>         self.local_linear = nn.Linear(...)
2025-03-14T04:34:32.9654689Z 
2025-03-14T04:34:32.9655064Z For example, if ``module_cls`` returns an instance of ``nn.Linear``,
2025-03-14T04:34:32.9656141Z that has ``forward`` method signature, ``def forward(input: Tensor) -> Tensor:``,
2025-03-14T04:34:32.9657272Z the generated ``RemoteModule`` will have 2 methods in signature of
2025-03-14T04:34:32.9658070Z ``def forward(input: Tensor) -> Tensor:`` and
2025-03-14T04:34:32.9658739Z ``def forward_async(input: Tensor) -> Future[Tensor]:``.
2025-03-14T04:34:32.9659227Z 
2025-03-14T04:34:32.9659417Z .. note::
2025-03-14T04:34:32.9660053Z     If the remote module is placed on a cuda device,
2025-03-14T04:34:32.9660998Z     any input CPU tensors will be automatically moved to the same cuda device,
2025-03-14T04:34:32.9662425Z     and GPU tensors are returned over the wire according to the device map of the remote worker on TensorPipe RPC backend.
2025-03-14T04:34:32.9663129Z 
2025-03-14T04:34:32.9663238Z Args:
2025-03-14T04:34:32.9663686Z     remote_device (str): Device on the destination worker where we'd like to place this module.
2025-03-14T04:34:32.9664424Z         The device can be a local device or a remote device specified by one of the following remote
2025-03-14T04:34:32.9664946Z         formats:
2025-03-14T04:34:32.9665095Z 
2025-03-14T04:34:32.9665256Z             1. "rank:<rank>/<device>" (ex: "rank:0/cuda:0").
2025-03-14T04:34:32.9665685Z             2. "<worker_name>/<device>" (ex: "trainer0/cuda:0").
2025-03-14T04:34:32.9665959Z 
2025-03-14T04:34:32.9666226Z         In addition, the device field can be optional and the default value is "cpu".
2025-03-14T04:34:32.9666858Z     module_cls (nn.Module): For example,
2025-03-14T04:34:32.9667443Z         >>> class MyModule(nn.Module):
2025-03-14T04:34:32.9667771Z         >>>     def forward(input):
2025-03-14T04:34:32.9668238Z         >>>         return input + 1
2025-03-14T04:34:32.9668771Z         >>>
2025-03-14T04:34:32.9669173Z         >>> module_cls = MyModule
2025-03-14T04:34:32.9670019Z     args (Sequence, optional): args to be passed to ``module_cls``.
2025-03-14T04:34:32.9670988Z     kwargs (Dict, optional): kwargs to be passed to ``module_cls``.
2025-03-14T04:34:32.9672092Z     _module_interface_cls (type, optional): The TorchScript interface type for the module
2025-03-14T04:34:32.9673297Z         to be created. The type object should be decorated by @torch.jit.interface.
2025-03-14T04:34:32.9674396Z         If not provided, the generated RemoteModule is not torchscript-able.
2025-03-14T04:34:32.9675611Z         Warning, this is an experimental API and susceptible to frequent changes.
2025-03-14T04:34:32.9676457Z 
2025-03-14T04:34:32.9676635Z Returns:
2025-03-14T04:34:32.9677341Z     A remote module instance which wraps the :class:`~nn.Module` created by the
2025-03-14T04:34:32.9678481Z     user-provided ``module_cls``, it has a blocking ``forward`` method and an
2025-03-14T04:34:32.9679687Z     asynchronous ``forward_async`` method that returns a future of the ``forward`` call
2025-03-14T04:34:32.9680732Z     on the user-provided module on the remote side.
2025-03-14T04:34:32.9681230Z 
2025-03-14T04:34:32.9681407Z Example::
2025-03-14T04:34:32.9681922Z     Run the following code in two different processes:
2025-03-14T04:34:32.9682393Z 
2025-03-14T04:34:32.9682608Z     >>> # xdoctest: +SKIP("distributed")
2025-03-14T04:34:32.9683184Z     >>> # On worker 0:
2025-03-14T04:34:32.9683610Z     >>> import torch
2025-03-14T04:34:32.9684087Z     >>> import torch.distributed.rpc as rpc
2025-03-14T04:34:32.9684749Z     >>> from torch import nn, Tensor
2025-03-14T04:34:32.9685457Z     >>> from torch.distributed.nn.api.remote_module import RemoteModule
2025-03-14T04:34:32.9685913Z     >>>
2025-03-14T04:34:32.9686205Z     >>> rpc.init_rpc("worker0", rank=0, world_size=2)
2025-03-14T04:34:32.9686601Z     >>> remote_linear_module = RemoteModule(
2025-03-14T04:34:32.9686982Z     >>>     "worker1/cpu", nn.Linear, args=(20, 30),
2025-03-14T04:34:32.9687329Z     >>> )
2025-03-14T04:34:32.9687562Z     >>> input = torch.randn(128, 20)
2025-03-14T04:34:32.9687952Z     >>> ret_fut = remote_linear_module.forward_async(input)
2025-03-14T04:34:32.9688345Z     >>> ret = ret_fut.wait()
2025-03-14T04:34:32.9688644Z     >>> rpc.shutdown()
2025-03-14T04:34:32.9688828Z 
2025-03-14T04:34:32.9688928Z     >>> # On worker 1:
2025-03-14T04:34:32.9689201Z     >>> import torch
2025-03-14T04:34:32.9689501Z     >>> import torch.distributed.rpc as rpc
2025-03-14T04:34:32.9689844Z     >>>
2025-03-14T04:34:32.9690123Z     >>> rpc.init_rpc("worker1", rank=1, world_size=2)
2025-03-14T04:34:32.9690651Z     >>> rpc.shutdown()
2025-03-14T04:34:32.9690936Z 
2025-03-14T04:34:32.9691523Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:32.9692216Z 
2025-03-14T04:34:32.9693613Z msg = Cannot scrape callname=_RemoteModule.init_from_module_rref in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/nn/api/remote_module.py line=505.
2025-03-14T04:34:32.9694865Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:32.9695260Z 
2025-03-14T04:34:32.9695607Z Besides the constructor, a RemoteModule instance can also be initialized given a module RRef.
2025-03-14T04:34:32.9696062Z 
2025-03-14T04:34:32.9696412Z This alternate initialization method can be particularly useful if we want to create multiple
2025-03-14T04:34:32.9697204Z RemoteModule instances that share the same underlying module and reduce memory consumption.
2025-03-14T04:34:32.9697650Z 
2025-03-14T04:34:32.9697950Z Moreover, this also provides a workaround for passing script RemoteModule over RPC,
2025-03-14T04:34:32.9698851Z which is not supported. The recommended way is as follows:
2025-03-14T04:34:32.9699365Z 
2025-03-14T04:34:32.9699598Z     1. the sender creates a RemoteModule;
2025-03-14T04:34:32.9700262Z     2. the sender sends its ``module_rref`` over RPC;
2025-03-14T04:34:32.9701390Z     3. the receiver calls this method to initialize another RemoteModule using the same ``module_rref``.
2025-03-14T04:34:32.9702327Z 
2025-03-14T04:34:32.9702498Z Example::
2025-03-14T04:34:32.9702994Z     Run the following code in two different processes:
2025-03-14T04:34:32.9703333Z 
2025-03-14T04:34:32.9703463Z     >>> # xdoctest: +SKIP("distributed")
2025-03-14T04:34:32.9703805Z     >>> # On worker 0:
2025-03-14T04:34:32.9704079Z     >>> import torch
2025-03-14T04:34:32.9704376Z     >>> import torch.distributed.rpc as rpc
2025-03-14T04:34:32.9704742Z     >>> from torch import nn, Tensor
2025-03-14T04:34:32.9705191Z     >>> from torch.distributed.nn.api.remote_module import RemoteModule
2025-03-14T04:34:32.9705709Z     >>>
2025-03-14T04:34:32.9705997Z     >>> rpc.init_rpc("worker0", rank=0, world_size=2)
2025-03-14T04:34:32.9706381Z     >>> remote_module = RemoteModule(
2025-03-14T04:34:32.9706740Z     >>>     "worker1/cpu", nn.Linear, args=(20, 30),
2025-03-14T04:34:32.9707086Z     >>> )
2025-03-14T04:34:32.9707309Z     >>>
2025-03-14T04:34:32.9707555Z     >>> remote_module1 = rpc.rpc_sync(
2025-03-14T04:34:32.9707888Z     >>>     "worker1/cpu",
2025-03-14T04:34:32.9708340Z     >>>     RemoteModule.init_from_module_rref,
2025-03-14T04:34:32.9709018Z     >>>     ("worker1/cpu", remote_module1.get_module_rref()),
2025-03-14T04:34:32.9709662Z     >>> )
2025-03-14T04:34:32.9710065Z     >>> rpc.shutdown()
2025-03-14T04:34:32.9710362Z 
2025-03-14T04:34:32.9710529Z     >>> # On worker 1:
2025-03-14T04:34:32.9710993Z     >>> import torch
2025-03-14T04:34:32.9711492Z     >>> import torch.distributed.rpc as rpc
2025-03-14T04:34:32.9712101Z     >>>
2025-03-14T04:34:32.9712579Z     >>> rpc.init_rpc("worker1", rank=1, world_size=2)
2025-03-14T04:34:32.9713252Z     >>> rpc.shutdown()
2025-03-14T04:34:32.9713549Z 
2025-03-14T04:34:32.9713721Z Args:
2025-03-14T04:34:32.9714501Z     remote_device (str): Device on the destination worker where we'd like to place this module.
2025-03-14T04:34:32.9715937Z         The device can be a local device or a remote device specified by one of the following remote
2025-03-14T04:34:32.9716853Z         formats:
2025-03-14T04:34:32.9717121Z 
2025-03-14T04:34:32.9717390Z             1. "rank:<rank>/<device>" (ex: "rank:0/cuda:0").
2025-03-14T04:34:32.9718178Z             2. "<worker_name>/<device>" (ex: "trainer0/cuda:0").
2025-03-14T04:34:32.9718680Z 
2025-03-14T04:34:32.9719161Z         In addition, the device field can be optional and the default value is "cpu".
2025-03-14T04:34:32.9720315Z     module_rref (RRef[nn.Module]): The module reference shared by both the caller and
2025-03-14T04:34:32.9721224Z         the created remote module.
2025-03-14T04:34:32.9722260Z     _module_interface_cls (type, optional): The TorchScript interface type for the module
2025-03-14T04:34:32.9723505Z         to be created. The type object should be decorated by @torch.jit.interface.
2025-03-14T04:34:32.9724607Z         If not provided, the generated RemoteModule is not torchscript-able.
2025-03-14T04:34:32.9725366Z         Warning, this is an experimental API and susceptible to frequent changes.
2025-03-14T04:34:32.9725736Z 
2025-03-14T04:34:32.9725857Z Returns:
2025-03-14T04:34:32.9726242Z     A remote module instance which wraps the :class:`~nn.Module` created by the
2025-03-14T04:34:32.9726873Z     user-provided ``module_rref``, it has a blocking ``forward`` method and an
2025-03-14T04:34:32.9727527Z     asynchronous ``forward_async`` method that returns a future of the ``forward`` call
2025-03-14T04:34:32.9728097Z     on the user-provided module on the remote side.
2025-03-14T04:34:32.9728377Z 
2025-03-14T04:34:32.9728642Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:32.9729113Z 
2025-03-14T04:34:32.9729750Z msg = Cannot scrape callname=RemoteModule in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/nn/api/remote_module.py line=597.
2025-03-14T04:34:32.9731504Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:32.9732255Z 
2025-03-14T04:34:32.9732762Z     A RemoteModule instance can only be created after RPC initialization.
2025-03-14T04:34:32.9733450Z 
2025-03-14T04:34:32.9734070Z     It creates a user-specified module on a specified remote node.
2025-03-14T04:34:32.9735114Z     It behaves like a regular ``nn.Module`` except that the ``forward`` method is
2025-03-14T04:34:32.9736008Z     executed on the remote node.
2025-03-14T04:34:32.9736851Z     It takes care of autograd recording to ensure the backward pass propagates
2025-03-14T04:34:32.9737860Z     gradients back to the corresponding remote module.
2025-03-14T04:34:32.9738371Z 
2025-03-14T04:34:32.9738880Z     It generates two methods ``forward_async`` and ``forward`` based on the
2025-03-14T04:34:32.9739929Z     signature of the ``forward`` method of ``module_cls``. ``forward_async``
2025-03-14T04:34:32.9740958Z     runs asynchronously and returns a Future. The arguments of ``forward_async``
2025-03-14T04:34:32.9741569Z     and ``forward`` are the same as the ``forward`` method of the module
2025-03-14T04:34:32.9742031Z     returned by the ``module_cls``.
2025-03-14T04:34:32.9742265Z 
2025-03-14T04:34:32.9742475Z     For example, if ``module_cls`` returns an instance of ``nn.Linear``,
2025-03-14T04:34:32.9743078Z     that has ``forward`` method signature: ``def forward(input: Tensor) -> Tensor:``,
2025-03-14T04:34:32.9743703Z     the generated ``RemoteModule`` will have 2 methods with the signatures:
2025-03-14T04:34:32.9744073Z 
2025-03-14T04:34:32.9744209Z     | ``def forward(input: Tensor) -> Tensor:``
2025-03-14T04:34:32.9744631Z     | ``def forward_async(input: Tensor) -> Future[Tensor]:``
2025-03-14T04:34:32.9744935Z 
2025-03-14T04:34:32.9745027Z Args:
2025-03-14T04:34:32.9745469Z     remote_device (str): Device on the destination worker where we'd like to place this module.
2025-03-14T04:34:32.9746420Z         The format should be "<workername>/<device>", where the device field can be parsed as torch.device type.
2025-03-14T04:34:32.9747493Z         E.g., "trainer0/cpu", "trainer0", "ps0/cuda:0".
2025-03-14T04:34:32.9748436Z         In addition, the device field can be optional and the default value is "cpu".
2025-03-14T04:34:32.9749614Z     module_cls (nn.Module): Class for the module to be created remotely. For example,
2025-03-14T04:34:32.9750326Z 
2025-03-14T04:34:32.9750544Z         >>> class MyModule(nn.Module):
2025-03-14T04:34:32.9751159Z         >>>     def forward(input):
2025-03-14T04:34:32.9751715Z         >>>         return input + 1
2025-03-14T04:34:32.9752259Z         >>>
2025-03-14T04:34:32.9752687Z         >>> module_cls = MyModule
2025-03-14T04:34:32.9753057Z 
2025-03-14T04:34:32.9753560Z     args (Sequence, optional): args to be passed to ``module_cls``.
2025-03-14T04:34:32.9754523Z     kwargs (Dict, optional): kwargs to be passed to ``module_cls``.
2025-03-14T04:34:32.9755203Z 
2025-03-14T04:34:32.9755380Z Returns:
2025-03-14T04:34:32.9756039Z     A remote module instance which wraps the :class:`~nn.Module` created by the
2025-03-14T04:34:32.9757130Z     user-provided ``module_cls``, it has a blocking ``forward`` method and an
2025-03-14T04:34:32.9757890Z     asynchronous ``forward_async`` method that returns a future of the ``forward`` call
2025-03-14T04:34:32.9758459Z     on the user-provided module on the remote side.
2025-03-14T04:34:32.9758742Z 
2025-03-14T04:34:32.9758850Z Example::
2025-03-14T04:34:32.9759157Z     Run the following code in two different processes:
2025-03-14T04:34:32.9759444Z 
2025-03-14T04:34:32.9759571Z     >>> # xdoctest: +SKIP("distributed")
2025-03-14T04:34:32.9759909Z     >>> # On worker 0:
2025-03-14T04:34:32.9760181Z     >>> import torch
2025-03-14T04:34:32.9760581Z     >>> import torch.distributed.rpc as rpc
2025-03-14T04:34:32.9760958Z     >>> from torch import nn, Tensor
2025-03-14T04:34:32.9761418Z     >>> from torch.distributed.nn.api.remote_module import RemoteModule
2025-03-14T04:34:32.9761870Z     >>>
2025-03-14T04:34:32.9762157Z     >>> rpc.init_rpc("worker0", rank=0, world_size=2)
2025-03-14T04:34:32.9762556Z     >>> remote_linear_module = RemoteModule(
2025-03-14T04:34:32.9763205Z     >>>     "worker1/cpu", nn.Linear, args=(20, 30),
2025-03-14T04:34:32.9763801Z     >>> )
2025-03-14T04:34:32.9764212Z     >>> input = torch.randn(128, 20)
2025-03-14T04:34:32.9764891Z     >>> ret_fut = remote_linear_module.forward_async(input)
2025-03-14T04:34:32.9765597Z     >>> ret = ret_fut.wait()
2025-03-14T04:34:32.9766098Z     >>> rpc.shutdown()
2025-03-14T04:34:32.9766413Z 
2025-03-14T04:34:32.9766578Z     >>> # On worker 1:
2025-03-14T04:34:32.9767210Z     >>> import torch
2025-03-14T04:34:32.9767732Z     >>> import torch.distributed.rpc as rpc
2025-03-14T04:34:32.9768453Z     >>>
2025-03-14T04:34:32.9768954Z     >>> rpc.init_rpc("worker1", rank=1, world_size=2)
2025-03-14T04:34:32.9769609Z     >>> rpc.shutdown()
2025-03-14T04:34:32.9769922Z 
2025-03-14T04:34:32.9770293Z     Furthermore, a more practical example that is combined with
2025-03-14T04:34:32.9771833Z     `DistributedDataParallel <https://pytorch.org/docs/stable/nn.html#torch.nn.parallel.DistributedDataParallel>`__ (DDP)
2025-03-14T04:34:32.9773596Z     can be found in this `tutorial <https://pytorch.org/tutorials/advanced/rpc_ddp_tutorial.html>`__.
2025-03-14T04:34:32.9774490Z 
2025-03-14T04:34:32.9774992Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:32.9775753Z 
2025-03-14T04:34:32.9916230Z msg = Cannot scrape callname=DistributedOptimizer in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/optim/optimizer.py line=130.
2025-03-14T04:34:32.9917340Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:32.9917768Z 
2025-03-14T04:34:32.9918028Z DistributedOptimizer takes remote references to parameters scattered
2025-03-14T04:34:32.9918291Z across workers and applies the given optimizer locally for each parameter.
2025-03-14T04:34:32.9918296Z 
2025-03-14T04:34:32.9918542Z This class uses :meth:`~torch.distributed.autograd.get_gradients` in order
2025-03-14T04:34:32.9918718Z to retrieve the gradients for specific parameters.
2025-03-14T04:34:32.9918727Z 
2025-03-14T04:34:32.9918832Z Concurrent calls to
2025-03-14T04:34:32.9919062Z :meth:`~torch.distributed.optim.DistributedOptimizer.step`,
2025-03-14T04:34:32.9919214Z either from the same or different clients, will
2025-03-14T04:34:32.9919468Z be serialized on each worker -- as each worker's optimizer can only work
2025-03-14T04:34:32.9919686Z on one set of gradients at a time. However, there is no guarantee that
2025-03-14T04:34:32.9919957Z the full forward-backward-optimizer sequence will execute for one client
2025-03-14T04:34:32.9920325Z at a time. This means that the gradients being applied may not correspond
2025-03-14T04:34:32.9920580Z to the latest forward pass executed on a given worker. Also, there is no
2025-03-14T04:34:32.9920706Z guaranteed ordering across workers.
2025-03-14T04:34:32.9920711Z 
2025-03-14T04:34:32.9921001Z `DistributedOptimizer` creates the local optimizer with TorchScript enabled
2025-03-14T04:34:32.9921241Z by default, so that optimizer updates are not blocked by the Python Global
2025-03-14T04:34:32.9921507Z Interpreter Lock (GIL) in the case of multithreaded training (e.g. Distributed
2025-03-14T04:34:32.9921917Z Model Parallel). This feature is currently enabled for most optimizers. You
2025-03-14T04:34:32.9922370Z can also follow `the recipe`__ in PyTorch tutorials to enable TorchScript support
2025-03-14T04:34:32.9922557Z for your own custom optimizers.
2025-03-14T04:34:32.9922566Z 
2025-03-14T04:34:32.9922741Z Args:
2025-03-14T04:34:32.9923104Z     optimizer_class (optim.Optimizer): the class of optimizer to
2025-03-14T04:34:32.9923437Z         instantiate on each worker.
2025-03-14T04:34:32.9923834Z     params_rref (list[RRef]): list of RRefs to local or remote parameters
2025-03-14T04:34:32.9924027Z         to optimize.
2025-03-14T04:34:32.9924436Z     args: arguments to pass to the optimizer constructor on each worker.
2025-03-14T04:34:32.9924867Z     kwargs: arguments to pass to the optimizer constructor on each worker.
2025-03-14T04:34:32.9924876Z 
2025-03-14T04:34:32.9925131Z Example::
2025-03-14T04:34:32.9925362Z     >>> # xdoctest: +SKIP("distributed")
2025-03-14T04:34:32.9925669Z     >>> import torch.distributed.autograd as dist_autograd
2025-03-14T04:34:32.9925935Z     >>> import torch.distributed.rpc as rpc
2025-03-14T04:34:32.9926123Z     >>> from torch import optim
2025-03-14T04:34:32.9926463Z     >>> from torch.distributed.optim import DistributedOptimizer
2025-03-14T04:34:32.9926605Z     >>>
2025-03-14T04:34:32.9926860Z     >>> with dist_autograd.context() as context_id:
2025-03-14T04:34:32.9927126Z     >>>   # Forward pass.
2025-03-14T04:34:32.9927517Z     >>>   rref1 = rpc.remote("worker1", torch.add, args=(torch.ones(2), 3))
2025-03-14T04:34:32.9927897Z     >>>   rref2 = rpc.remote("worker1", torch.add, args=(torch.ones(2), 1))
2025-03-14T04:34:32.9928138Z     >>>   loss = rref1.to_here() + rref2.to_here()
2025-03-14T04:34:32.9928295Z     >>>
2025-03-14T04:34:32.9928485Z     >>>   # Backward pass.
2025-03-14T04:34:32.9928772Z     >>>   dist_autograd.backward(context_id, [loss.sum()])
2025-03-14T04:34:32.9928953Z     >>>
2025-03-14T04:34:32.9929136Z     >>>   # Optimizer.
2025-03-14T04:34:32.9929393Z     >>>   dist_optim = DistributedOptimizer(
2025-03-14T04:34:32.9929568Z     >>>      optim.SGD,
2025-03-14T04:34:32.9929770Z     >>>      [rref1, rref2],
2025-03-14T04:34:32.9929935Z     >>>      lr=0.05,
2025-03-14T04:34:32.9930116Z     >>>   )
2025-03-14T04:34:32.9930318Z     >>>   dist_optim.step(context_id)
2025-03-14T04:34:32.9930328Z 
2025-03-14T04:34:32.9930637Z __ https://github.com/pytorch/tutorials/pull/1465
2025-03-14T04:34:32.9930652Z 
2025-03-14T04:34:32.9931139Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:32.9931148Z 
2025-03-14T04:34:32.9939043Z msg = Cannot scrape callname=PostLocalSGDOptimizer in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/optim/post_localSGD_optimizer.py line=9.
2025-03-14T04:34:32.9939586Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:32.9939614Z 
2025-03-14T04:34:32.9940336Z Wraps an arbitrary :class:`torch.optim.Optimizer` and runs `post-local SGD <https://arxiv.org/abs/1808.07217>`_,
2025-03-14T04:34:32.9940574Z This optimizer runs local optimizer at every step.
2025-03-14T04:34:32.9940924Z After the warm-up stage, it averages parameters periodically afer the local optimizer is applied.
2025-03-14T04:34:32.9940931Z 
2025-03-14T04:34:32.9941038Z Args:
2025-03-14T04:34:32.9941157Z     optim: The local optimizer.
2025-03-14T04:34:32.9941488Z     averager: A model averager instance to run post-localSGD algorithm.
2025-03-14T04:34:32.9941493Z 
2025-03-14T04:34:32.9941599Z Example::
2025-03-14T04:34:32.9941604Z 
2025-03-14T04:34:32.9941759Z     >>> # xdoctest: +SKIP("undefined variables")
2025-03-14T04:34:32.9941861Z     >>> import torch
2025-03-14T04:34:32.9942003Z     >>> import torch.distributed as dist
2025-03-14T04:34:32.9942291Z     >>> import torch.distributed.algorithms.model_averaging.averagers as averagers
2025-03-14T04:34:32.9942420Z     >>> import torch.nn as nn
2025-03-14T04:34:32.9942627Z     >>> from torch.distributed.optim import PostLocalSGDOptimizer
2025-03-14T04:34:32.9942924Z     >>> from torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook import (
2025-03-14T04:34:32.9943037Z     >>>   PostLocalSGDState,
2025-03-14T04:34:32.9943148Z     >>>   post_localSGD_hook,
2025-03-14T04:34:32.9943252Z     >>> )
2025-03-14T04:34:32.9943346Z     >>>
2025-03-14T04:34:32.9943522Z     >>> model = nn.parallel.DistributedDataParallel(
2025-03-14T04:34:32.9943718Z     >>>    module, device_ids=[rank], output_device=rank
2025-03-14T04:34:32.9943820Z     >>> )
2025-03-14T04:34:32.9943910Z     >>>
2025-03-14T04:34:32.9944076Z     >>> # Register a post-localSGD communication hook.
2025-03-14T04:34:32.9944384Z     >>> state = PostLocalSGDState(process_group=None, subgroup=None, start_localSGD_iter=100)
2025-03-14T04:34:32.9944600Z     >>> model.register_comm_hook(state, post_localSGD_hook)
2025-03-14T04:34:32.9944693Z     >>>
2025-03-14T04:34:32.9944925Z     >>> # Create a post-localSGD optimizer that wraps a local optimizer.
2025-03-14T04:34:32.9945184Z     >>> # Note that ``warmup_steps`` used in ``PostLocalSGDOptimizer`` must be the same as
2025-03-14T04:34:32.9945374Z     >>> # ``start_localSGD_iter`` used in ``PostLocalSGDState``.
2025-03-14T04:34:32.9945594Z     >>> local_optim = torch.optim.SGD(params=model.parameters(), lr=0.01)
2025-03-14T04:34:32.9945914Z     >>> opt = PostLocalSGDOptimizer(
2025-03-14T04:34:32.9946094Z     >>>     optim=local_optim,
2025-03-14T04:34:32.9946595Z     >>>     averager=averagers.PeriodicModelAverager(period=4, warmup_steps=100)
2025-03-14T04:34:32.9946743Z     >>> )
2025-03-14T04:34:32.9946912Z     >>>
2025-03-14T04:34:32.9947324Z     >>> # In the first 100 steps, DDP runs global gradient averaging at every step.
2025-03-14T04:34:32.9947901Z     >>> # After 100 steps, DDP runs gradient averaging within each subgroup (intra-node by default),
2025-03-14T04:34:32.9948638Z     >>> # and post-localSGD optimizer runs global model averaging every 4 steps after applying the local optimizer.
2025-03-14T04:34:32.9948848Z     >>> for step in range(0, 200):
2025-03-14T04:34:32.9949027Z     >>>    opt.zero_grad()
2025-03-14T04:34:32.9949241Z     >>>    loss = loss_fn(output, labels)
2025-03-14T04:34:32.9949428Z     >>>    loss.backward()
2025-03-14T04:34:32.9949611Z     >>>    opt.step()
2025-03-14T04:34:32.9949619Z 
2025-03-14T04:34:32.9950114Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:32.9950130Z 
2025-03-14T04:34:33.0060816Z msg = Cannot scrape callname=ZeroRedundancyOptimizer in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/optim/zero_redundancy_optimizer.py line=284.
2025-03-14T04:34:33.0061397Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:33.0061408Z 
2025-03-14T04:34:33.0062204Z Wrap an arbitrary :class:`optim.Optimizer <torch.optim.Optimizer>` and shards its states across ranks in the group.
2025-03-14T04:34:33.0062213Z 
2025-03-14T04:34:33.0062459Z The sharing is done as described by ZeRO_.
2025-03-14T04:34:33.0062468Z 
2025-03-14T04:34:33.0062740Z The local optimizer instance in each rank is only
2025-03-14T04:34:33.0063223Z responsible for updating approximately ``1 / world_size`` parameters and
2025-03-14T04:34:33.0063616Z hence only needs to keep ``1 / world_size`` optimizer states. After
2025-03-14T04:34:33.0064101Z parameters are updated locally, each rank will broadcast its parameters to
2025-03-14T04:34:33.0064603Z all other peers to keep all model replicas in the same state.
2025-03-14T04:34:33.0065001Z ``ZeroRedundancyOptimizer`` can be used in conjunction with
2025-03-14T04:34:33.0065504Z :class:`torch.nn.parallel.DistributedDataParallel` to reduce per-rank peak
2025-03-14T04:34:33.0065708Z memory consumption.
2025-03-14T04:34:33.0065717Z 
2025-03-14T04:34:33.0066222Z ``ZeroRedundancyOptimizer`` uses a sorted-greedy algorithm to pack a number
2025-03-14T04:34:33.0066692Z of parameters at each rank. Each parameter belongs to a single rank and is
2025-03-14T04:34:33.0067329Z not divided among ranks. The partition is arbitrary and might not match the
2025-03-14T04:34:33.0067601Z the parameter registration or usage order.
2025-03-14T04:34:33.0067611Z 
2025-03-14T04:34:33.0067784Z Arguments:
2025-03-14T04:34:33.0068158Z     params (``Iterable``): an ``Iterable`` of :class:`torch.Tensor` s
2025-03-14T04:34:33.0068515Z         or :class:`dict` s giving all parameters, which will be sharded
2025-03-14T04:34:33.0068820Z         across ranks.
2025-03-14T04:34:33.0068829Z 
2025-03-14T04:34:33.0069006Z Keyword Args:
2025-03-14T04:34:33.0069448Z     optimizer_class (:class:`torch.nn.Optimizer`): the class of the local
2025-03-14T04:34:33.0069625Z         optimizer.
2025-03-14T04:34:33.0070044Z     process_group (``ProcessGroup``, optional): ``torch.distributed``
2025-03-14T04:34:33.0070493Z         ``ProcessGroup`` (default: ``dist.group.WORLD`` initialized by
2025-03-14T04:34:33.0070791Z         :meth:`torch.distributed.init_process_group`).
2025-03-14T04:34:33.0071224Z     parameters_as_bucket_view (bool, optional): if ``True``, parameters are
2025-03-14T04:34:33.0071640Z         packed into buckets to speed up communication, and ``param.data``
2025-03-14T04:34:33.0072018Z         fields point to bucket views at different offsets; if ``False``,
2025-03-14T04:34:33.0072423Z         each individual parameter is communicated separately, and each
2025-03-14T04:34:33.0072712Z         ``params.data`` stays intact (default: ``False``).
2025-03-14T04:34:33.0073172Z     overlap_with_ddp (bool, optional): if ``True``, :meth:`step` is
2025-03-14T04:34:33.0073549Z         overlapped with :class:`DistributedDataParallel` 's gradient
2025-03-14T04:34:33.0073975Z         synchronization; this requires (1) either a functional optimizer
2025-03-14T04:34:33.0074327Z         for the ``optimizer_class`` argument or one with a functional
2025-03-14T04:34:33.0074677Z         equivalent and (2) registering a DDP communication hook
2025-03-14T04:34:33.0075073Z         constructed from one of the functions in ``ddp_zero_hook.py``;
2025-03-14T04:34:33.0075490Z         parameters are packed into buckets matching those in
2025-03-14T04:34:33.0075798Z         :class:`DistributedDataParallel`, meaning that the
2025-03-14T04:34:33.0076100Z         ``parameters_as_bucket_view`` argument is ignored.
2025-03-14T04:34:33.0076451Z         If ``False``, :meth:`step` runs disjointly after the backward pass
2025-03-14T04:34:33.0076649Z         (per normal).
2025-03-14T04:34:33.0076836Z         (default: ``False``)
2025-03-14T04:34:33.0077263Z     **defaults: any trailing arguments, which are forwarded to the local
2025-03-14T04:34:33.0077433Z         optimizer.
2025-03-14T04:34:33.0077443Z 
2025-03-14T04:34:33.0077640Z Example::
2025-03-14T04:34:33.0077648Z 
2025-03-14T04:34:33.0077834Z     >>> # xdoctest: +SKIP
2025-03-14T04:34:33.0078037Z     >>> import torch.nn as nn
2025-03-14T04:34:33.0078433Z     >>> from torch.distributed.optim import ZeroRedundancyOptimizer
2025-03-14T04:34:33.0078834Z     >>> from torch.nn.parallel import DistributedDataParallel as DDP
2025-03-14T04:34:33.0079274Z     >>> model = nn.Sequential(*[nn.Linear(2000, 2000).to(rank) for _ in range(20)])
2025-03-14T04:34:33.0079513Z     >>> ddp = DDP(model, device_ids=[rank])
2025-03-14T04:34:33.0079735Z     >>> opt = ZeroRedundancyOptimizer(
2025-03-14T04:34:33.0079946Z     >>>     ddp.parameters(),
2025-03-14T04:34:33.0080183Z     >>>     optimizer_class=torch.optim.Adam,
2025-03-14T04:34:33.0080371Z     >>>     lr=0.01
2025-03-14T04:34:33.0080631Z     >>> )
2025-03-14T04:34:33.0080853Z     >>> ddp(inputs).sum().backward()
2025-03-14T04:34:33.0081024Z     >>> opt.step()
2025-03-14T04:34:33.0081033Z 
2025-03-14T04:34:33.0081215Z .. warning::
2025-03-14T04:34:33.0081614Z     Currently, ``ZeroRedundancyOptimizer`` requires that all of the
2025-03-14T04:34:33.0081901Z     passed-in parameters are the same dense type.
2025-03-14T04:34:33.0081910Z 
2025-03-14T04:34:33.0082080Z .. warning::
2025-03-14T04:34:33.0082497Z     If you pass ``overlap_with_ddp=True``, be wary of the following: Given
2025-03-14T04:34:33.0082892Z     the way that overlapping :class:`DistributedDataParallel` with
2025-03-14T04:34:33.0083352Z     :class:`ZeroRedundancyOptimizer` is currently implemented, the first
2025-03-14T04:34:33.0083766Z     two or three training iterations do not perform parameter updates in
2025-03-14T04:34:33.0084149Z     the optimizer step, depending on if ``static_graph=False`` or
2025-03-14T04:34:33.0084573Z     ``static_graph=True``, respectively. This is because it needs
2025-03-14T04:34:33.0084942Z     information about the gradient bucketing strategy used by
2025-03-14T04:34:33.0085363Z     :class:`DistributedDataParallel`, which is not finalized until the
2025-03-14T04:34:33.0085765Z     second forward pass if ``static_graph=False`` or until the third
2025-03-14T04:34:33.0086232Z     forward pass if ``static_graph=True``. To adjust for this, one option
2025-03-14T04:34:33.0086446Z     is to prepend dummy inputs.
2025-03-14T04:34:33.0086455Z 
2025-03-14T04:34:33.0086948Z .. warning:: ZeroRedundancyOptimizer is experimental and subject to change.
2025-03-14T04:34:33.0086956Z 
2025-03-14T04:34:33.0087218Z .. _ZeRO: https://arxiv.org/abs/1910.02054
2025-03-14T04:34:33.0087226Z 
2025-03-14T04:34:33.0087233Z 
2025-03-14T04:34:33.0087722Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:33.0087730Z 
2025-03-14T04:34:33.0289874Z msg = Cannot scrape callname=_CustomReducer in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/pipelining/microbatch.py line=28.
2025-03-14T04:34:33.0290645Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:33.0290671Z 
2025-03-14T04:34:33.0291072Z Custom reducer class that can be used to specify a custom operation that
2025-03-14T04:34:33.0291419Z reduces losses of multiple microbatches into one value.
2025-03-14T04:34:33.0291428Z 
2025-03-14T04:34:33.0291596Z Example:
2025-03-14T04:34:33.0291775Z >>> # xdoctest: +SKIP
2025-03-14T04:34:33.0291979Z >>> sum_reducer = _CustomReducer(
2025-03-14T04:34:33.0292177Z >>>     torch.tensor(0.0),
2025-03-14T04:34:33.0292347Z >>>     lambda a, b: a + b
2025-03-14T04:34:33.0292499Z >>> )
2025-03-14T04:34:33.0292522Z 
2025-03-14T04:34:33.0292978Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:33.0292986Z 
2025-03-14T04:34:33.0786877Z msg = Cannot scrape callname=async_execution in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/rpc/functions.py line=6.
2025-03-14T04:34:33.0787202Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:33.0787211Z 
2025-03-14T04:34:33.0787478Z A decorator for a function indicating that the return value of the function
2025-03-14T04:34:33.0787754Z is guaranteed to be a :class:`~torch.futures.Future` object and this
2025-03-14T04:34:33.0788006Z function can run asynchronously on the RPC callee. More specifically, the
2025-03-14T04:34:33.0788262Z callee extracts the :class:`~torch.futures.Future` returned by the wrapped
2025-03-14T04:34:33.0788505Z function and installs subsequent processing steps as a callback to that
2025-03-14T04:34:33.0788759Z :class:`~torch.futures.Future`. The installed callback will read the value
2025-03-14T04:34:33.0788972Z from the :class:`~torch.futures.Future` when completed and send the
2025-03-14T04:34:33.0789175Z value back as the RPC response. That also means the returned
2025-03-14T04:34:33.0789639Z :class:`~torch.futures.Future` only exists on the callee side and is never
2025-03-14T04:34:33.0789889Z sent through RPC. This decorator is useful when the wrapped function's
2025-03-14T04:34:33.0790103Z (``fn``) execution needs to pause and resume due to, e.g., containing
2025-03-14T04:34:33.0790357Z :meth:`~torch.distributed.rpc.rpc_async` or waiting for other signals.
2025-03-14T04:34:33.0790364Z 
2025-03-14T04:34:33.0790787Z .. note:: To enable asynchronous execution, applications must pass the
2025-03-14T04:34:33.0791230Z     function object returned by this decorator to RPC APIs. If RPC detected
2025-03-14T04:34:33.0791621Z     attributes installed by this decorator, it knows that this function
2025-03-14T04:34:33.0791970Z     returns a ``Future`` object and will handle that accordingly.
2025-03-14T04:34:33.0792354Z     However, this does not mean this decorator has to be outmost one when
2025-03-14T04:34:33.0792934Z     defining a function. For example, when combined with ``@staticmethod``
2025-03-14T04:34:33.0793336Z     or ``@classmethod``, ``@rpc.functions.async_execution`` needs to be the
2025-03-14T04:34:33.0793761Z     inner decorator to allow the target function be recognized as a static
2025-03-14T04:34:33.0794193Z     or class function. This target function can still execute asynchronously
2025-03-14T04:34:33.0794743Z     because, when accessed, the static or class method preserves attributes
2025-03-14T04:34:33.0795032Z     installed by ``@rpc.functions.async_execution``.
2025-03-14T04:34:33.0795042Z 
2025-03-14T04:34:33.0795050Z 
2025-03-14T04:34:33.0795348Z Example::
2025-03-14T04:34:33.0795717Z     The returned :class:`~torch.futures.Future` object can come from
2025-03-14T04:34:33.0795974Z     :meth:`~torch.distributed.rpc.rpc_async`,
2025-03-14T04:34:33.0796400Z     :meth:`~torch.futures.Future.then`, or :class:`~torch.futures.Future`
2025-03-14T04:34:33.0796746Z     constructor. The example below shows directly using the
2025-03-14T04:34:33.0797092Z     :class:`~torch.futures.Future` returned by
2025-03-14T04:34:33.0797329Z     :meth:`~torch.futures.Future.then`.
2025-03-14T04:34:33.0797338Z 
2025-03-14T04:34:33.0797565Z     >>> from torch.distributed import rpc
2025-03-14T04:34:33.0797737Z     >>>
2025-03-14T04:34:33.0797958Z     >>> # omitting setup and shutdown RPC
2025-03-14T04:34:33.0798132Z     >>>
2025-03-14T04:34:33.0798311Z     >>> # On all workers
2025-03-14T04:34:33.0798536Z     >>> @rpc.functions.async_execution
2025-03-14T04:34:33.0798747Z     >>> def async_add_chained(to, x, y, z):
2025-03-14T04:34:33.0799132Z     >>>     # This function runs on "worker1" and returns immediately when
2025-03-14T04:34:33.0799489Z     >>>     # the callback is installed through the `then(cb)` API. In the
2025-03-14T04:34:33.0799819Z     >>>     # mean time, the `rpc_async` to "worker2" can run concurrently.
2025-03-14T04:34:33.0800120Z     >>>     # When the return value of that `rpc_async` arrives at
2025-03-14T04:34:33.0800494Z     >>>     # "worker1", "worker1" will run the lambda function accordingly
2025-03-14T04:34:33.0800846Z     >>>     # and set the value for the previously returned `Future`, which
2025-03-14T04:34:33.0801217Z     >>>     # will then trigger RPC to send the result back to "worker0".
2025-03-14T04:34:33.0801522Z     >>>     return rpc.rpc_async(to, torch.add, args=(x, y)).then(
2025-03-14T04:34:33.0801737Z     >>>         lambda fut: fut.wait() + z
2025-03-14T04:34:33.0801900Z     >>>     )
2025-03-14T04:34:33.0802076Z     >>>
2025-03-14T04:34:33.0802246Z     >>> # On worker0
2025-03-14T04:34:33.0802440Z     >>> # xdoctest: +SKIP
2025-03-14T04:34:33.0802626Z     >>> ret = rpc.rpc_sync(
2025-03-14T04:34:33.0802804Z     >>>     "worker1",
2025-03-14T04:34:33.0802989Z     >>>     async_add_chained,
2025-03-14T04:34:33.0803224Z     >>>     args=("worker2", torch.ones(2), 1, 1)
2025-03-14T04:34:33.0803386Z     >>> )
2025-03-14T04:34:33.0803621Z     >>> print(ret)  # prints tensor([3., 3.])
2025-03-14T04:34:33.0803639Z 
2025-03-14T04:34:33.0804169Z     When combined with TorchScript decorators, this decorator must be the
2025-03-14T04:34:33.0804353Z     outmost one.
2025-03-14T04:34:33.0804362Z 
2025-03-14T04:34:33.0804561Z     >>> from torch import Tensor
2025-03-14T04:34:33.0804793Z     >>> from torch.futures import Future
2025-03-14T04:34:33.0805017Z     >>> from torch.distributed import rpc
2025-03-14T04:34:33.0805187Z     >>>
2025-03-14T04:34:33.0805403Z     >>> # omitting setup and shutdown RPC
2025-03-14T04:34:33.0805559Z     >>>
2025-03-14T04:34:33.0805746Z     >>> # On all workers
2025-03-14T04:34:33.0805908Z     >>> @torch.jit.script
2025-03-14T04:34:33.0806193Z     >>> def script_add(x: Tensor, y: Tensor) -> Tensor:
2025-03-14T04:34:33.0806365Z     >>>     return x + y
2025-03-14T04:34:33.0806526Z     >>>
2025-03-14T04:34:33.0806742Z     >>> @rpc.functions.async_execution
2025-03-14T04:34:33.0806945Z     >>> @torch.jit.script
2025-03-14T04:34:33.0807300Z     >>> def async_add(to: str, x: Tensor, y: Tensor) -> Future[Tensor]:
2025-03-14T04:34:33.0807655Z     >>>     return rpc.rpc_async(to, script_add, (x, y))
2025-03-14T04:34:33.0807794Z     >>>
2025-03-14T04:34:33.0807958Z     >>> # On worker0
2025-03-14T04:34:33.0808140Z     >>> ret = rpc.rpc_sync(
2025-03-14T04:34:33.0808310Z     >>>     "worker1",
2025-03-14T04:34:33.0808459Z     >>>     async_add,
2025-03-14T04:34:33.0808686Z     >>>     args=("worker2", torch.ones(2), 1)
2025-03-14T04:34:33.0808893Z     >>> )
2025-03-14T04:34:33.0809122Z     >>> print(ret)  # prints tensor([2., 2.])
2025-03-14T04:34:33.0809132Z 
2025-03-14T04:34:33.0809529Z     When combined with static or class method, this decorator must be the
2025-03-14T04:34:33.0809714Z     inner one.
2025-03-14T04:34:33.0809723Z 
2025-03-14T04:34:33.0809948Z     >>> from torch.distributed import rpc
2025-03-14T04:34:33.0810117Z     >>>
2025-03-14T04:34:33.0810327Z     >>> # omitting setup and shutdown RPC
2025-03-14T04:34:33.0810496Z     >>>
2025-03-14T04:34:33.0810676Z     >>> # On all workers
2025-03-14T04:34:33.0810969Z     >>> class AsyncExecutionClass:
2025-03-14T04:34:33.0811126Z     >>>
2025-03-14T04:34:33.0811308Z     >>>     @staticmethod
2025-03-14T04:34:33.0811518Z     >>>     @rpc.functions.async_execution
2025-03-14T04:34:33.0811749Z     >>>     def static_async_add(to, x, y, z):
2025-03-14T04:34:33.0812077Z     >>>         return rpc.rpc_async(to, torch.add, args=(x, y)).then(
2025-03-14T04:34:33.0812303Z     >>>             lambda fut: fut.wait() + z
2025-03-14T04:34:33.0812466Z     >>>         )
2025-03-14T04:34:33.0812627Z     >>>
2025-03-14T04:34:33.0812819Z     >>>     @classmethod
2025-03-14T04:34:33.0813041Z     >>>     @rpc.functions.async_execution
2025-03-14T04:34:33.0813285Z     >>>     def class_async_add(cls, to, x, y, z):
2025-03-14T04:34:33.0813509Z     >>>         ret_fut = torch.futures.Future()
2025-03-14T04:34:33.0813800Z     >>>         rpc.rpc_async(to, torch.add, args=(x, y)).then(
2025-03-14T04:34:33.0814073Z     >>>             lambda fut: ret_fut.set_result(fut.wait() + z)
2025-03-14T04:34:33.0814255Z     >>>         )
2025-03-14T04:34:33.0814438Z     >>>         return ret_fut
2025-03-14T04:34:33.0814613Z     >>>
2025-03-14T04:34:33.0814832Z     >>>     @rpc.functions.async_execution
2025-03-14T04:34:33.0815070Z     >>>     def bound_async_add(self, to, x, y, z):
2025-03-14T04:34:33.0815371Z     >>>         return rpc.rpc_async(to, torch.add, args=(x, y)).then(
2025-03-14T04:34:33.0815601Z     >>>             lambda fut: fut.wait() + z
2025-03-14T04:34:33.0815755Z     >>>         )
2025-03-14T04:34:33.0815917Z     >>>
2025-03-14T04:34:33.0816071Z     >>> # On worker0
2025-03-14T04:34:33.0816266Z     >>> ret = rpc.rpc_sync(
2025-03-14T04:34:33.0816429Z     >>>     "worker1",
2025-03-14T04:34:33.0816685Z     >>>     AsyncExecutionClass.static_async_add,
2025-03-14T04:34:33.0816901Z     >>>     args=("worker2", torch.ones(2), 1, 2)
2025-03-14T04:34:33.0817077Z     >>> )
2025-03-14T04:34:33.0817299Z     >>> print(ret)  # prints tensor([4., 4.])
2025-03-14T04:34:33.0817477Z     >>>
2025-03-14T04:34:33.0817757Z     >>> ret = rpc.rpc_sync(
2025-03-14T04:34:33.0817943Z     >>>     "worker1",
2025-03-14T04:34:33.0818185Z     >>>     AsyncExecutionClass.class_async_add,
2025-03-14T04:34:33.0818414Z     >>>     args=("worker2", torch.ones(2), 1, 2)
2025-03-14T04:34:33.0818577Z     >>> )
2025-03-14T04:34:33.0818809Z     >>> print(ret)  # prints tensor([4., 4.])
2025-03-14T04:34:33.0818818Z 
2025-03-14T04:34:33.0819131Z     This decorator also works with RRef helpers, i.e., .
2025-03-14T04:34:33.0819409Z     :meth:`torch.distributed.rpc.RRef.rpc_sync`,
2025-03-14T04:34:33.0819695Z     :meth:`torch.distributed.rpc.RRef.rpc_async`, and
2025-03-14T04:34:33.0819971Z     :meth:`torch.distributed.rpc.RRef.remote`.
2025-03-14T04:34:33.0819980Z 
2025-03-14T04:34:33.0820204Z     >>> from torch.distributed import rpc
2025-03-14T04:34:33.0820381Z     >>>
2025-03-14T04:34:33.0820634Z     >>> # reuse the AsyncExecutionClass class above
2025-03-14T04:34:33.0820924Z     >>> rref = rpc.remote("worker1", AsyncExecutionClass)
2025-03-14T04:34:33.0821402Z     >>> ret = rref.rpc_sync().static_async_add("worker2", torch.ones(2), 1, 2)
2025-03-14T04:34:33.0821626Z     >>> print(ret)  # prints tensor([4., 4.])
2025-03-14T04:34:33.0821794Z     >>>
2025-03-14T04:34:33.0822074Z     >>> rref = rpc.remote("worker1", AsyncExecutionClass)
2025-03-14T04:34:33.0822534Z     >>> ret = rref.rpc_async().static_async_add("worker2", torch.ones(2), 1, 2).wait()
2025-03-14T04:34:33.0822809Z     >>> print(ret)  # prints tensor([4., 4.])
2025-03-14T04:34:33.0822980Z     >>>
2025-03-14T04:34:33.0823266Z     >>> rref = rpc.remote("worker1", AsyncExecutionClass)
2025-03-14T04:34:33.0823724Z     >>> ret = rref.remote().static_async_add("worker2", torch.ones(2), 1, 2).to_here()
2025-03-14T04:34:33.0823946Z     >>> print(ret)  # prints tensor([4., 4.])
2025-03-14T04:34:33.0823954Z 
2025-03-14T04:34:33.0824459Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:33.0824467Z 
2025-03-14T04:34:33.0849909Z msg = Cannot scrape callname=TensorPipeRpcBackendOptions.set_device_map in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/rpc/options.py line=108.
2025-03-14T04:34:33.0850256Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:33.0850265Z 
2025-03-14T04:34:33.0850494Z Set device mapping between each RPC caller and callee pair. This
2025-03-14T04:34:33.0850692Z function can be called multiple times to incrementally add
2025-03-14T04:34:33.0850834Z device placement configurations.
2025-03-14T04:34:33.0850839Z 
2025-03-14T04:34:33.0850930Z Args:
2025-03-14T04:34:33.0851049Z     to (str): Callee name.
2025-03-14T04:34:33.0851260Z     device_map (Dict of int, str, or torch.device): Device placement
2025-03-14T04:34:33.0851463Z         mappings from this worker to the callee. This map must be
2025-03-14T04:34:33.0851566Z         invertible.
2025-03-14T04:34:33.0851571Z 
2025-03-14T04:34:33.0851682Z Example:
2025-03-14T04:34:33.0851813Z     >>> # xdoctest: +SKIP("distributed")
2025-03-14T04:34:33.0851931Z     >>> # both workers
2025-03-14T04:34:33.0852034Z     >>> def add(x, y):
2025-03-14T04:34:33.0852193Z     >>>     print(x)  # tensor([1., 1.], device='cuda:1')
2025-03-14T04:34:33.0852306Z     >>>     return x + y, (x + y).to(2)
2025-03-14T04:34:33.0852411Z     >>>
2025-03-14T04:34:33.0852509Z     >>> # on worker 0
2025-03-14T04:34:33.0852669Z     >>> options = TensorPipeRpcBackendOptions(
2025-03-14T04:34:33.0852779Z     >>>     num_worker_threads=8,
2025-03-14T04:34:33.0852911Z     >>>     device_maps={"worker1": {0: 1}}
2025-03-14T04:34:33.0853048Z     >>> # maps worker0's cuda:0 to worker1's cuda:1
2025-03-14T04:34:33.0853151Z     >>> )
2025-03-14T04:34:33.0853286Z     >>> options.set_device_map("worker1", {1: 2})
2025-03-14T04:34:33.0853435Z     >>> # maps worker0's cuda:1 to worker1's cuda:2
2025-03-14T04:34:33.0853526Z     >>>
2025-03-14T04:34:33.0853639Z     >>> rpc.init_rpc(
2025-03-14T04:34:33.0853735Z     >>>     "worker0",
2025-03-14T04:34:33.0853832Z     >>>     rank=0,
2025-03-14T04:34:33.0854033Z     >>>     world_size=2,
2025-03-14T04:34:33.0854175Z     >>>     backend=rpc.BackendType.TENSORPIPE,
2025-03-14T04:34:33.0854327Z     >>>     rpc_backend_options=options
2025-03-14T04:34:33.0854420Z     >>> )
2025-03-14T04:34:33.0854526Z     >>>
2025-03-14T04:34:33.0854633Z     >>> x = torch.ones(2)
2025-03-14T04:34:33.0854822Z     >>> rets = rpc.rpc_sync("worker1", add, args=(x.to(0), 1))
2025-03-14T04:34:33.0855021Z     >>> # The first argument will be moved to cuda:1 on worker1. When
2025-03-14T04:34:33.0855231Z     >>> # sending the return value back, it will follow the invert of
2025-03-14T04:34:33.0855418Z     >>> # the device map, and hence will be moved back to cuda:0 and
2025-03-14T04:34:33.0855537Z     >>> # cuda:1 on worker0
2025-03-14T04:34:33.0855695Z     >>> print(rets[0])  # tensor([2., 2.], device='cuda:0')
2025-03-14T04:34:33.0856049Z     >>> print(rets[1])  # tensor([2., 2.], device='cuda:1')
2025-03-14T04:34:33.0856116Z 
2025-03-14T04:34:33.0856566Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:33.0856575Z 
2025-03-14T04:34:33.0885200Z msg = Cannot scrape callname=_server_process_global_profile in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/rpc/server_process_global_profiler.py line=19.
2025-03-14T04:34:33.0885971Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:33.0885985Z 
2025-03-14T04:34:33.0886347Z It has the same API as ``torch.autograd.profiler.profile`` class,
2025-03-14T04:34:33.0886886Z except that it enables profiling on all threads running RPC server request callbacks.
2025-03-14T04:34:33.0886896Z 
2025-03-14T04:34:33.0887390Z Context manager that manages autograd profiler state and holds a summary of results.
2025-03-14T04:34:33.0887674Z Under the hood it just records events of functions being executed in C++ and
2025-03-14T04:34:33.0887921Z exposes those events to Python. You can wrap any code into it and it will
2025-03-14T04:34:33.0888173Z only report runtime of PyTorch functions.
2025-03-14T04:34:33.0888456Z Note: profiler is thread local and is automatically propagated into the async tasks
2025-03-14T04:34:33.0888462Z 
2025-03-14T04:34:33.0888573Z Args:
2025-03-14T04:34:33.0888855Z     enabled (bool, optional): Setting this to False makes this context manager a no-op.
2025-03-14T04:34:33.0888980Z         Default: ``True``.
2025-03-14T04:34:33.0888985Z 
2025-03-14T04:34:33.0889284Z     use_cuda (bool, optional): Enables timing of CUDA events as well using the cudaEvent API.
2025-03-14T04:34:33.0889511Z         Adds approximately 4us of overhead to each tensor operation.
2025-03-14T04:34:33.0889619Z         Default: ``False``
2025-03-14T04:34:33.0889624Z 
2025-03-14T04:34:33.0889879Z     record_shapes (bool, optional): If shapes recording is set, information
2025-03-14T04:34:33.0890117Z         about input dimensions will be collected. This allows one to see which
2025-03-14T04:34:33.0890361Z         dimensions have been used under the hood and further group by them
2025-03-14T04:34:33.0890587Z         using prof.key_averages(group_by_input_shape=True). Please note that
2025-03-14T04:34:33.0890834Z         shape recording might skew your profiling data. It is recommended to
2025-03-14T04:34:33.0891080Z         use separate runs with and without shape recording to validate the timing.
2025-03-14T04:34:33.0891332Z         Most likely the skew will be negligible for bottom most events (in a case
2025-03-14T04:34:33.0891555Z         of nested function calls). But for higher level functions the total
2025-03-14T04:34:33.0891783Z         self cpu time might be artificially increased because of the shape
2025-03-14T04:34:33.0891881Z         collection.
2025-03-14T04:34:33.0891898Z 
2025-03-14T04:34:33.0892175Z     profile_memory (bool, optional): Whether to report memory usage, default: ``False``
2025-03-14T04:34:33.0892179Z 
2025-03-14T04:34:33.0892286Z .. warning:
2025-03-14T04:34:33.0892553Z     Enabling memory profiling incurs additional profiler overhead
2025-03-14T04:34:33.0892559Z 
2025-03-14T04:34:33.0892667Z .. warning:
2025-03-14T04:34:33.0892929Z     Due to some CUDA multiprocessing limitations (multiprocessing-cuda-note_),
2025-03-14T04:34:33.0893342Z     one cannot use the profiler with ``use_cuda = True`` to benchmark
2025-03-14T04:34:33.0893754Z     DataLoaders with ``num_workers > 0``. If you wish to benchmark data loading,
2025-03-14T04:34:33.0894059Z     please use ``use_cuda = False`` or ``num_workers = 0``.
2025-03-14T04:34:33.0894067Z 
2025-03-14T04:34:33.0894223Z Example:
2025-03-14T04:34:33.0894422Z     >>> # xdoctest: +SKIP
2025-03-14T04:34:33.0894574Z     >>> # On worker 0:
2025-03-14T04:34:33.0894749Z     >>> import torch
2025-03-14T04:34:33.0894973Z     >>> import torch.distributed.rpc as rpc
2025-03-14T04:34:33.0895224Z     >>> rpc.init_rpc("worker0", rank=0, world_size=2)
2025-03-14T04:34:33.0895455Z     >>> x, y = torch.tensor(1), torch.tensor(2)
2025-03-14T04:34:33.0895761Z     >>> outer_profile_rref = rpc.remote(
2025-03-14T04:34:33.0896080Z     ...     dst_worker_name, rpc._server_process_global_profile
2025-03-14T04:34:33.0896241Z     ... )
2025-03-14T04:34:33.0896469Z     >>> outer_profile_rref.rpc_sync().__enter__()
2025-03-14T04:34:33.0896729Z     >>> rpc.rpc_sync(dst_worker_name, torch.add, (x, y))
2025-03-14T04:34:33.0896941Z     >>> inner_profile_rref = rpc.remote(
2025-03-14T04:34:33.0897205Z     ...     dst_worker_name, rpc._server_process_global_profile
2025-03-14T04:34:33.0897312Z     ... )
2025-03-14T04:34:33.0897449Z     >>> inner_profile_rref.rpc_sync().__enter__()
2025-03-14T04:34:33.0897623Z     >>> rpc.rpc_sync(dst_worker_name, torch.sub, (x, y))
2025-03-14T04:34:33.0897806Z     >>> inner_profile_rref.rpc_sync().__exit__(None, None, None)
2025-03-14T04:34:33.0898001Z     >>> outer_profile_rref.rpc_sync().__exit__(None, None, None)
2025-03-14T04:34:33.0898173Z     >>> print(inner_profile_rref.rpc_sync().key_averages())
2025-03-14T04:34:33.0898477Z     ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-03-14T04:34:33.0898803Z     Name       Self CPU total %  Self CPU total   CPU total %      CPU total        CPU time avg     Number of Calls
2025-03-14T04:34:33.0899056Z     ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-03-14T04:34:33.0899256Z     sub        85.06%           76.275us         100.00%          89.667us         89.667us         1
2025-03-14T04:34:33.0899465Z     empty      14.94%           13.392us         14.94%           13.392us         13.392us         1
2025-03-14T04:34:33.0899702Z     ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-03-14T04:34:33.0899832Z     Self CPU time total: 89.667us
2025-03-14T04:34:33.0900002Z     >>> print(outer_profile_rref.rpc_sync().key_averages())
2025-03-14T04:34:33.0900250Z     ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-03-14T04:34:33.0900570Z     Name       Self CPU total %  Self CPU total   CPU total %      CPU total        CPU time avg     Number of Calls
2025-03-14T04:34:33.0900817Z     ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-03-14T04:34:33.0901017Z     sub        35.65%           76.275us         41.91%           89.667us         89.667us         1
2025-03-14T04:34:33.0901212Z     empty      12.67%           27.101us         12.67%           27.101us         13.551us         2
2025-03-14T04:34:33.0901414Z     add        51.68%           110.550us        58.09%           124.259us        124.259us        1
2025-03-14T04:34:33.0901645Z     ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-03-14T04:34:33.0901776Z     Self CPU time total: 213.926us
2025-03-14T04:34:33.0902048Z     >>> rpc.shutdown()
2025-03-14T04:34:33.0902060Z 
2025-03-14T04:34:33.0902281Z     >>> # On worker 1:
2025-03-14T04:34:33.0902498Z     >>> import torch.distributed.rpc as rpc
2025-03-14T04:34:33.0902762Z     >>> rpc.init_rpc("worker1", rank=1, world_size=2)
2025-03-14T04:34:33.0903047Z     >>> # wait for worker 0 to finish work, and then shutdown.
2025-03-14T04:34:33.0903242Z     >>> rpc.shutdown()
2025-03-14T04:34:33.0903251Z 
2025-03-14T04:34:33.0903729Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:33.0903739Z 
2025-03-14T04:34:33.2064383Z msg = Cannot scrape callname=local_map in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/experimental/_func_map.py line=34.
2025-03-14T04:34:33.2064730Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:33.2064739Z 
2025-03-14T04:34:33.2065036Z :meth:`local_map` is an experimental API that allows users to pass :class:`DTensor` s
2025-03-14T04:34:33.2065583Z to a function that is written to be applied on ``torch.Tensor`` s. It is done by extracting
2025-03-14T04:34:33.2065920Z the local components of :class:`DTensor`, call the function, and wrap the outputs to
2025-03-14T04:34:33.2066107Z :class:`DTensor` according to the ``out_placements``.
2025-03-14T04:34:33.2066113Z 
2025-03-14T04:34:33.2066206Z Args:
2025-03-14T04:34:33.2066501Z     func (Callable): the function to be applied on each local shard of
2025-03-14T04:34:33.2066663Z         :class:`DTensor` s.
2025-03-14T04:34:33.2067136Z     out_placements (Union[`PlacementType`, Tuple[`PlacementType`, ...]]):
2025-03-14T04:34:33.2067466Z         the desired placements of the :class:`DTensor` s in ``func``'s flattened output.
2025-03-14T04:34:33.2067734Z         If the flattened ``output`` is a single value, the ``out_placements`` should be
2025-03-14T04:34:33.2068122Z         of type `PlacementType`. Otherwise if the flattened ``output`` has multiple
2025-03-14T04:34:33.2068400Z         values, the ``out_placements`` should be a tuple of `PlacementType` values 1:1
2025-03-14T04:34:33.2068640Z         mapping to the flattened ``output``.
2025-03-14T04:34:33.2068929Z         Besides, for :class:`Tensor` output, we use `PlacementType` as its
2025-03-14T04:34:33.2069214Z         placements (a `Tuple[Placement]` value). For non-Tensor output, the `PlacementType`
2025-03-14T04:34:33.2069335Z         should be `None`.
2025-03-14T04:34:33.2069642Z         Note that the only exception is when no :class:`DTensor` argument is passed
2025-03-14T04:34:33.2069886Z         in. In this case, even if `out_placements` is not `None`, the result function
2025-03-14T04:34:33.2070149Z         should ignore the desired placements because the function is not running with
2025-03-14T04:34:33.2070326Z         :class:`DTensor` s.
2025-03-14T04:34:33.2070504Z     in_placements (Tuple[`PlacementType`, ...], optional):
2025-03-14T04:34:33.2070805Z         the required placements of the :class:`DTensor` s in the flattened inputs of ``func``.
2025-03-14T04:34:33.2071106Z         If ``in_placements`` is specified, :meth:`local_map` would examine whether the
2025-03-14T04:34:33.2071357Z         placements of each :class:`DTensor` argument is the same as the required
2025-03-14T04:34:33.2071548Z         placements or not. If the placements are not the same and
2025-03-14T04:34:33.2071864Z         ``redistribute_inputs`` is ``False``, an exception will be raised. Otherwise if
2025-03-14T04:34:33.2072122Z         ``redistribute_inputs`` is ``True``, the argument will be first redistributed to
2025-03-14T04:34:33.2072403Z         the required sharding placements before passing its local tensor to ``func``.
2025-03-14T04:34:33.2072693Z         The only exception is when required placements are not ``None`` and the
2025-03-14T04:34:33.2072954Z         argument is a :class:`torch.Tensor`. In this case, the placements examination
2025-03-14T04:34:33.2073181Z         will be skipped and the argument will be directly passed to ``func``.
2025-03-14T04:34:33.2073546Z         If ``in_placements`` is ``None``, no placements examination will be performed.
2025-03-14T04:34:33.2073650Z         Default: None
2025-03-14T04:34:33.2073810Z     device_mesh (:class:`DeviceMesh`, optional):
2025-03-14T04:34:33.2074057Z         the device mesh that all the :class:`DTensor` s are placed on. If not
2025-03-14T04:34:33.2074343Z         specified, this will be inferred from the input :class:`DTensor` s' device
2025-03-14T04:34:33.2074592Z         mesh. `local_map` requires every :class:`DTensor` s to be placed on the same
2025-03-14T04:34:33.2074721Z         device mesh. Default: None.
2025-03-14T04:34:33.2074900Z     redistribute_inputs (bool, optional):
2025-03-14T04:34:33.2075242Z         the bool value indicating whether to reshard the input :class:`DTensor` s when
2025-03-14T04:34:33.2075502Z         their placements are different from the required input placements. If this
2025-03-14T04:34:33.2075806Z         value is ``False`` and some :class:`DTensor` input has a different placement,
2025-03-14T04:34:33.2076011Z         an exception will be raised. Default: False.
2025-03-14T04:34:33.2076017Z 
2025-03-14T04:34:33.2076126Z Returns:
2025-03-14T04:34:33.2076441Z     A ``Callable`` that applies ``func`` to each local shard of the input :class:`DTensor`
2025-03-14T04:34:33.2076703Z     and returns a :class:`DTensor` constructed from the return value of ``func``.
2025-03-14T04:34:33.2076709Z 
2025-03-14T04:34:33.2076848Z Raises:
2025-03-14T04:34:33.2077170Z     AssertionError: If the input :class:`DTensor` is not placed on the same device
2025-03-14T04:34:33.2077416Z         mesh, or if they are placed on a different device mesh than the ``device_mesh``
2025-03-14T04:34:33.2077544Z         argument passed in.
2025-03-14T04:34:33.2077550Z 
2025-03-14T04:34:33.2077800Z     AssertionError: For any non-DTensor output, we require its corresponding
2025-03-14T04:34:33.2078133Z         output placement in ``out_placements`` be None. An AssertionError will be raised
2025-03-14T04:34:33.2078280Z         if this is not the case.
2025-03-14T04:34:33.2078287Z 
2025-03-14T04:34:33.2078579Z     ValueError: If ``redistribute_inputs=False`` but the input :class:`DTensor` needs
2025-03-14T04:34:33.2078792Z         a redistribution according to ``in_placements``.
2025-03-14T04:34:33.2078797Z 
2025-03-14T04:34:33.2078908Z Example:
2025-03-14T04:34:33.2079035Z     >>> # xdoctest: +SKIP("distributed")
2025-03-14T04:34:33.2079200Z     >>> def mm_allreduce_forward(device_mesh, W, X):
2025-03-14T04:34:33.2079335Z     >>>     partial_sum_tensor = torch.mm(W, X)
2025-03-14T04:34:33.2079651Z     >>>     reduced_tensor = funcol.all_reduce(partial_sum_tensor, "sum", device_mesh)
2025-03-14T04:34:33.2079763Z     >>>     return reduced_tensor
2025-03-14T04:34:33.2079869Z     >>>
2025-03-14T04:34:33.2080005Z     >>> W = torch.randn(12, 8, requires_grad=False)
2025-03-14T04:34:33.2080182Z     >>> X = torch.randn(8, 16, requires_grad=False)
2025-03-14T04:34:33.2080303Z     >>> Y = torch.mm(W, X)
2025-03-14T04:34:33.2080521Z     >>> row_wise = [Shard(0)]  # row-wise sharding placements on 1-d mesh
2025-03-14T04:34:33.2080715Z     >>> col_wise = [Shard(1)]  # col-wise sharding placements on 1-d mesh
2025-03-14T04:34:33.2080817Z     >>>
2025-03-14T04:34:33.2081157Z     >>> # local_mm_allreduce_forward is the function wrapped with DTensor/Tensor convertion
2025-03-14T04:34:33.2081302Z     >>> local_mm_allreduce_forward = local_map(
2025-03-14T04:34:33.2081415Z     >>>     mm_allreduce_forward,
2025-03-14T04:34:33.2081549Z     >>>     out_placements=[Replicate()],
2025-03-14T04:34:33.2081710Z     >>>     in_placements=[col_wise, row_wise],
2025-03-14T04:34:33.2081852Z     >>>     device_mesh=device_mesh,
2025-03-14T04:34:33.2081944Z     >>> )
2025-03-14T04:34:33.2082048Z     >>>
2025-03-14T04:34:33.2082165Z     >>> W_dt = distribute_tensor(
2025-03-14T04:34:33.2082341Z     ...     W, device_mesh, (col_wise)
2025-03-14T04:34:33.2082513Z     ... )  # col-wisely sharded W tensor
2025-03-14T04:34:33.2082639Z     >>> X_dt = distribute_tensor(
2025-03-14T04:34:33.2095532Z     ...     X, device_mesh, (row_wise)
2025-03-14T04:34:33.2095757Z     ... )  # row-wisely sharded X tensor
2025-03-14T04:34:33.2095901Z     >>> Y_dt = local_mm_allreduce_forward(
2025-03-14T04:34:33.2096019Z     ...     device_mesh, W_dt, X_dt
2025-03-14T04:34:33.2096245Z     ... )  # apply local_mm_allreduce_forward to DTensors
2025-03-14T04:34:33.2096253Z 
2025-03-14T04:34:33.2096489Z .. note:: This API is currently experimental and subject to change
2025-03-14T04:34:33.2096495Z 
2025-03-14T04:34:33.2096779Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:33.2096785Z 
2025-03-14T04:34:33.2097624Z msg = Cannot scrape callname=register_sharding in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/experimental/_register_sharding.py line=26.
2025-03-14T04:34:33.2097963Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:33.2098014Z 
2025-03-14T04:34:33.2098321Z :meth:`register_sharding` is an experimental API that allows users to register sharding
2025-03-14T04:34:33.2098641Z strategies for an operator when the tensor inputs and outputs are DTensor.
2025-03-14T04:34:33.2098906Z It can be useful when: (1) there doesn't exist a default sharding strategy for ``op``,
2025-03-14T04:34:33.2099181Z e.g. when ``op`` is a custom operator that is not supported by :class:`DTensor`; (2)
2025-03-14T04:34:33.2099549Z when users would like to overwrite default sharding strategies of existing operators.
2025-03-14T04:34:33.2099555Z 
2025-03-14T04:34:33.2099664Z Args:
2025-03-14T04:34:33.2099803Z     op (Union[OpOverload, List[OpOverload]]):
2025-03-14T04:34:33.2100021Z         An op or a list of ops to register the customized sharding function.
2025-03-14T04:34:33.2100026Z 
2025-03-14T04:34:33.2100123Z Returns:
2025-03-14T04:34:33.2100467Z     A function decorator which can be used to wrap a function that defines the sharding
2025-03-14T04:34:33.2100807Z     strategy for the operator specified in ``op``. The defined sharding strategy will be
2025-03-14T04:34:33.2101106Z     registered to DTensor and will override the default sharding strategy if DTensor has
2025-03-14T04:34:33.2101422Z     already implemented the operator. The customized sharding function takes the same inputs
2025-03-14T04:34:33.2101743Z     as the original op (except that if an arg is a :class:`torch.Tensor`, it will be
2025-03-14T04:34:33.2102029Z     replaced by a tensor-like object that DTensor uses internally). The function should
2025-03-14T04:34:33.2102329Z     return a sequence of 2-tuples, each specifying acceptable output placements and its
2025-03-14T04:34:33.2102457Z     corresponding intput placements.
2025-03-14T04:34:33.2102462Z 
2025-03-14T04:34:33.2102572Z Example:
2025-03-14T04:34:33.2102697Z     >>> # xdoctest: +SKIP("distributed")
2025-03-14T04:34:33.2102851Z     >>> @register_sharding(aten._softmax.default)
2025-03-14T04:34:33.2103018Z     >>> def custom_softmax_sharding(x, dim, half_to_float):
2025-03-14T04:34:33.2103188Z     >>>     softmax_dim = dim if dim >= 0 else dim + x.ndim
2025-03-14T04:34:33.2103313Z     >>>     acceptable_shardings = []
2025-03-14T04:34:33.2103417Z     >>>
2025-03-14T04:34:33.2103607Z     >>>     all_replicate = ([Replicate()], [Replicate(), None, None])
2025-03-14T04:34:33.2103821Z     >>>     acceptable_shardings.append(all_replicate)
2025-03-14T04:34:33.2103915Z     >>>
2025-03-14T04:34:33.2104057Z     >>>     for sharding_dim in range(x.ndim):
2025-03-14T04:34:33.2104182Z     >>>         if sharding_dim != softmax_dim:
2025-03-14T04:34:33.2104300Z     >>>             all_sharded = (
2025-03-14T04:34:33.2104421Z     >>>                 [Shard(sharding_dim)],
2025-03-14T04:34:33.2104566Z     >>>                 [Shard(sharding_dim), None, None],
2025-03-14T04:34:33.2104662Z     >>>             )
2025-03-14T04:34:33.2104823Z     >>>             acceptable_shardings.append(all_sharded)
2025-03-14T04:34:33.2104915Z     >>>
2025-03-14T04:34:33.2105047Z     >>>     return acceptable_shardings
2025-03-14T04:34:33.2105086Z 
2025-03-14T04:34:33.2105297Z .. note:: This API is currently experimental and subject to change
2025-03-14T04:34:33.2105302Z 
2025-03-14T04:34:33.2105576Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:33.2105581Z 
2025-03-14T04:34:33.2343282Z msg = Cannot scrape callname=PrepareModuleInput in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/style.py line=403.
2025-03-14T04:34:33.2343634Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:33.2343643Z 
2025-03-14T04:34:33.2344040Z Configure the nn.Module's inputs to convert the input tensors of the nn.Module to DTensors at runtime according to
2025-03-14T04:34:33.2344441Z ``input_layouts``, and perform layout redistribution according to the ``desired_input_layouts``.
2025-03-14T04:34:33.2344447Z 
2025-03-14T04:34:33.2344546Z Keyword Args:
2025-03-14T04:34:33.2344927Z     input_layouts (Union[Placement, Tuple[Optional[Placement]]]):
2025-03-14T04:34:33.2345317Z         The DTensor layouts of input tensors for the nn.Module, this is used to convert the input tensors to
2025-03-14T04:34:33.2345720Z         DTensors. If some inputs are not torch.Tensor or no need to convert to DTensors, ``None`` need to be specified
2025-03-14T04:34:33.2345879Z         as a placeholder. default: None.
2025-03-14T04:34:33.2346182Z     desired_input_layouts (Union[Placement, Tuple[Optional[Placement]]]):
2025-03-14T04:34:33.2346643Z         The desired DTensor layout of input tensors for the nn.Module, this is used to ensure the inputs of the nn.Module
2025-03-14T04:34:33.2347051Z         have the desired DTensor layouts. This argument needs to have the same length with ``input_layouts``. default: None.
2025-03-14T04:34:33.2347206Z     input_kwarg_layouts (Dict[str, Placement]):
2025-03-14T04:34:33.2347643Z         The DTensor layouts of input kwargs for the nn.Module, this is used to convert the input kwarg tensors to DTensors.
2025-03-14T04:34:33.2347812Z         default: None
2025-03-14T04:34:33.2348000Z     desired_input_kwarg_layouts: (Dict[str, Placement]):
2025-03-14T04:34:33.2348437Z         The desired DTensor layout of input kwargs for the nn.Module, this is used to ensure the inputs of the nn.Module
2025-03-14T04:34:33.2348595Z         have the desired DTensor layouts. default: None.
2025-03-14T04:34:33.2348739Z     use_local_output (bool, optional):
2025-03-14T04:34:33.2349201Z         Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module inputs, default: False.
2025-03-14T04:34:33.2349388Z Returns:
2025-03-14T04:34:33.2350008Z     A :class:`ParallelStyle` object that prepares the sharding layouts of the nn.Module's inputs.
2025-03-14T04:34:33.2350015Z 
2025-03-14T04:34:33.2350157Z Example::
2025-03-14T04:34:33.2350272Z     >>> # xdoctest: +SKIP(failing)
2025-03-14T04:34:33.2350608Z     >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleInput
2025-03-14T04:34:33.2350820Z     >>> from torch.distributed.device_mesh import init_device_mesh
2025-03-14T04:34:33.2350926Z     >>> ...
2025-03-14T04:34:33.2351248Z     >>> block = TransformerBlock(...)  # block is a nn.Module that contains an "attn" Attention submodule
2025-03-14T04:34:33.2351396Z     >>> tp_mesh = init_device_mesh("cuda", (8,))
2025-03-14T04:34:33.2351489Z     >>>
2025-03-14T04:34:33.2351859Z     >>> # According to the style specified below, the first input of attn will be annotated to Sharded DTensor
2025-03-14T04:34:33.2352019Z     >>> # and then redistributed to Replicated DTensor.
2025-03-14T04:34:33.2352147Z     >>> parallelize_module(
2025-03-14T04:34:33.2352293Z     >>>     block, # this can be a submodule or module
2025-03-14T04:34:33.2352391Z     >>>     tp_mesh,
2025-03-14T04:34:33.2352517Z     >>>     parallelize_plan={
2025-03-14T04:34:33.2352647Z     >>>         "attn": PrepareModuleInput(
2025-03-14T04:34:33.2352807Z     >>>             input_layouts=(Shard(0), None, None, ...),
2025-03-14T04:34:33.2353047Z     >>>             desired_input_layouts=(Replicate(), None, None, ...)
2025-03-14T04:34:33.2353157Z     >>>         ),
2025-03-14T04:34:33.2353249Z     >>>     }
2025-03-14T04:34:33.2353354Z     >>> )
2025-03-14T04:34:33.2353358Z 
2025-03-14T04:34:33.2353623Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:33.2353628Z 
2025-03-14T04:34:33.2354347Z msg = Cannot scrape callname=PrepareModuleOutput in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/style.py line=562.
2025-03-14T04:34:33.2354633Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:33.2354637Z 
2025-03-14T04:34:33.2355194Z Configure the nn.Module's outputs to convert the output tensors of the nn.Module to DTensors at runtime according to
2025-03-14T04:34:33.2355554Z ``output_layouts``, and perform layout redistribution according to the ``desired_output_layouts``.
2025-03-14T04:34:33.2355597Z 
2025-03-14T04:34:33.2355698Z Keyword Args:
2025-03-14T04:34:33.2355889Z     output_layouts (Union[Placement, Tuple[Placement]]):
2025-03-14T04:34:33.2356237Z         The DTensor layouts of output tensors for the nn.Module, this is used to convert the output tensors to
2025-03-14T04:34:33.2356673Z         DTensors if they are :class:`torch.Tensor`. If some outputs are not torch.Tensor or no need to convert to DTensors,
2025-03-14T04:34:33.2356826Z         ``None`` need to be specified as a placeholder.
2025-03-14T04:34:33.2357048Z     desired_output_layouts (Union[Placement, Tuple[Placement]]):
2025-03-14T04:34:33.2357449Z         The desired DTensor layouts of output tensors for the nn.Module, this is used to ensure the outputs of the nn.Module
2025-03-14T04:34:33.2357590Z         have the desired DTensor layouts.
2025-03-14T04:34:33.2357715Z     use_local_output (bool, optional):
2025-03-14T04:34:33.2358103Z         Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module outputs, default: True.
2025-03-14T04:34:33.2358233Z Returns:
2025-03-14T04:34:33.2358551Z     A ParallelStyle object that prepares the sharding layouts of the nn.Module's outputs.
2025-03-14T04:34:33.2358556Z 
2025-03-14T04:34:33.2358658Z Example::
2025-03-14T04:34:33.2358784Z     >>> # xdoctest: +SKIP(failing)
2025-03-14T04:34:33.2359113Z     >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleOutput
2025-03-14T04:34:33.2359327Z     >>> from torch.distributed.device_mesh import init_device_mesh
2025-03-14T04:34:33.2359419Z     >>> ...
2025-03-14T04:34:33.2359750Z     >>> block = TransformerBlock(...)  # block is a nn.Module that contains an "attn" Attention submodule
2025-03-14T04:34:33.2359884Z     >>> tp_mesh = init_device_mesh("cuda", (8,))
2025-03-14T04:34:33.2359988Z     >>>
2025-03-14T04:34:33.2360403Z     >>> # According to the style specified below, the output of the TransformerBlock will be converted to Replicated DTensor
2025-03-14T04:34:33.2360566Z     >>> # and then redistributed to Sharded DTensor.
2025-03-14T04:34:33.2360676Z     >>> parallelize_module(
2025-03-14T04:34:33.2360830Z     >>>     block, # this can be a submodule or module
2025-03-14T04:34:33.2360926Z     >>>     tp_mesh,
2025-03-14T04:34:33.2361083Z     >>>     parallelize_plan = PrepareModuleOutput(
2025-03-14T04:34:33.2361205Z     >>>         output_layouts=Replicate(),
2025-03-14T04:34:33.2361346Z     >>>         desired_output_layouts=Shard(0)
2025-03-14T04:34:33.2361438Z     >>>     )
2025-03-14T04:34:33.2361540Z     >>> )
2025-03-14T04:34:33.2361545Z 
2025-03-14T04:34:33.2361809Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:33.2361814Z 
2025-03-14T04:34:33.3030285Z msg = Cannot scrape callname=LowRankMultivariateNormal in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/lowrank_multivariate_normal.py line=55.
2025-03-14T04:34:33.3030610Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:33.3030805Z 
2025-03-14T04:34:33.3031125Z Creates a multivariate normal distribution with covariance matrix having a low-rank form
2025-03-14T04:34:33.3031358Z parameterized by :attr:`cov_factor` and :attr:`cov_diag`::
2025-03-14T04:34:33.3031364Z 
2025-03-14T04:34:33.3031551Z     covariance_matrix = cov_factor @ cov_factor.T + cov_diag
2025-03-14T04:34:33.3031555Z 
2025-03-14T04:34:33.3031671Z Example:
2025-03-14T04:34:33.3031823Z     >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK)
2025-03-14T04:34:33.3031982Z     >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-03-14T04:34:33.3032109Z     >>> m = LowRankMultivariateNormal(
2025-03-14T04:34:33.3032308Z     ...     torch.zeros(2), torch.tensor([[1.0], [0.0]]), torch.ones(2)
2025-03-14T04:34:33.3032401Z     ... )
2025-03-14T04:34:33.3032716Z     >>> m.sample()  # normally distributed with mean=`[0,0]`, cov_factor=`[[1],[0]]`, cov_diag=`[1,1]`
2025-03-14T04:34:33.3032830Z     tensor([-0.2102, -0.5429])
2025-03-14T04:34:33.3032892Z 
2025-03-14T04:34:33.3032996Z Args:
2025-03-14T04:34:33.3033244Z     loc (Tensor): mean of the distribution with shape `batch_shape + event_shape`
2025-03-14T04:34:33.3033524Z     cov_factor (Tensor): factor part of low-rank form of covariance matrix with shape
2025-03-14T04:34:33.3033649Z         `batch_shape + event_shape + (rank,)`
2025-03-14T04:34:33.3034298Z     cov_diag (Tensor): diagonal part of low-rank form of covariance matrix with shape
2025-03-14T04:34:33.3034419Z         `batch_shape + event_shape`
2025-03-14T04:34:33.3034425Z 
2025-03-14T04:34:33.3034529Z Note:
2025-03-14T04:34:33.3034812Z     The computation for determinant and inverse of covariance matrix is avoided when
2025-03-14T04:34:33.3035079Z     `cov_factor.shape[1] << cov_factor.shape[0]` thanks to `Woodbury matrix identity
2025-03-14T04:34:33.3035364Z     <https://en.wikipedia.org/wiki/Woodbury_matrix_identity>`_ and
2025-03-14T04:34:33.3035682Z     `matrix determinant lemma <https://en.wikipedia.org/wiki/Matrix_determinant_lemma>`_.
2025-03-14T04:34:33.3036012Z     Thanks to these formulas, we just need to compute the determinant and inverse of
2025-03-14T04:34:33.3036160Z     the small size "capacitance" matrix::
2025-03-14T04:34:33.3036165Z 
2025-03-14T04:34:33.3036356Z         capacitance = I + cov_factor.T @ inv(cov_diag) @ cov_factor
2025-03-14T04:34:33.3036360Z 
2025-03-14T04:34:33.3036638Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:33.3036643Z 
2025-03-14T04:34:33.3054145Z msg = Cannot scrape callname=MixtureSameFamily in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/mixture_same_family.py line=13.
2025-03-14T04:34:33.3054433Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:33.3054439Z 
2025-03-14T04:34:33.3054672Z The `MixtureSameFamily` distribution implements a (batch of) mixture
2025-03-14T04:34:33.3054942Z distribution where all component are from different parameterizations of
2025-03-14T04:34:33.3055174Z the same distribution type. It is parameterized by a `Categorical`
2025-03-14T04:34:33.3055393Z "selecting distribution" (over `k` component) and a component
2025-03-14T04:34:33.3055608Z distribution, i.e., a `Distribution` with a rightmost batch shape
2025-03-14T04:34:33.3055790Z (equal to `[k]`) which indexes each (batch of) component.
2025-03-14T04:34:33.3055794Z 
2025-03-14T04:34:33.3055921Z Examples::
2025-03-14T04:34:33.3055926Z 
2025-03-14T04:34:33.3056055Z     >>> # xdoctest: +SKIP("undefined vars")
2025-03-14T04:34:33.3056281Z     >>> # Construct Gaussian Mixture Model in 1D consisting of 5 equally
2025-03-14T04:34:33.3056403Z     >>> # weighted normal distributions
2025-03-14T04:34:33.3056542Z     >>> mix = D.Categorical(torch.ones(5,))
2025-03-14T04:34:33.3056699Z     >>> comp = D.Normal(torch.randn(5,), torch.rand(5,))
2025-03-14T04:34:33.3056830Z     >>> gmm = MixtureSameFamily(mix, comp)
2025-03-14T04:34:33.3056846Z 
2025-03-14T04:34:33.3057122Z     >>> # Construct Gaussian Mixture Model in 2D consisting of 5 equally
2025-03-14T04:34:33.3057280Z     >>> # weighted bivariate normal distributions
2025-03-14T04:34:33.3057406Z     >>> mix = D.Categorical(torch.ones(5,))
2025-03-14T04:34:33.3057542Z     >>> comp = D.Independent(D.Normal(
2025-03-14T04:34:33.3057679Z     ...          torch.randn(5,2), torch.rand(5,2)), 1)
2025-03-14T04:34:33.3057808Z     >>> gmm = MixtureSameFamily(mix, comp)
2025-03-14T04:34:33.3057830Z 
2025-03-14T04:34:33.3058021Z     >>> # Construct a batch of 3 Gaussian Mixture Models in 2D each
2025-03-14T04:34:33.3058247Z     >>> # consisting of 5 random weighted bivariate normal distributions
2025-03-14T04:34:33.3058377Z     >>> mix = D.Categorical(torch.rand(3,5))
2025-03-14T04:34:33.3058516Z     >>> comp = D.Independent(D.Normal(
2025-03-14T04:34:33.3058660Z     ...         torch.randn(3,5,2), torch.rand(3,5,2)), 1)
2025-03-14T04:34:33.3058787Z     >>> gmm = MixtureSameFamily(mix, comp)
2025-03-14T04:34:33.3058853Z 
2025-03-14T04:34:33.3058947Z Args:
2025-03-14T04:34:33.3059165Z     mixture_distribution: `torch.distributions.Categorical`-like
2025-03-14T04:34:33.3059376Z         instance. Manages the probability of selecting component.
2025-03-14T04:34:33.3059555Z         The number of categories must match the rightmost batch
2025-03-14T04:34:33.3059768Z         dimension of the `component_distribution`. Must have either
2025-03-14T04:34:33.3059978Z         scalar `batch_shape` or `batch_shape` matching
2025-03-14T04:34:33.3060126Z         `component_distribution.batch_shape[:-1]`
2025-03-14T04:34:33.3060367Z     component_distribution: `torch.distributions.Distribution`-like
2025-03-14T04:34:33.3060554Z         instance. Right-most batch dimension indexes component.
2025-03-14T04:34:33.3060558Z 
2025-03-14T04:34:33.3060836Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:33.3060841Z 
2025-03-14T04:34:33.3215138Z msg = Cannot scrape callname=RelaxedBernoulli in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/relaxed_bernoulli.py line=111.
2025-03-14T04:34:33.3215575Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:33.3215582Z 
2025-03-14T04:34:33.3215778Z Creates a RelaxedBernoulli distribution, parametrized by
2025-03-14T04:34:33.3215997Z :attr:`temperature`, and either :attr:`probs` or :attr:`logits`
2025-03-14T04:34:33.3216229Z (but not both). This is a relaxed version of the `Bernoulli` distribution,
2025-03-14T04:34:33.3216435Z so the values are in (0, 1), and has reparametrizable samples.
2025-03-14T04:34:33.3216440Z 
2025-03-14T04:34:33.3216553Z Example::
2025-03-14T04:34:33.3216558Z 
2025-03-14T04:34:33.3216720Z     >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-03-14T04:34:33.3216859Z     >>> m = RelaxedBernoulli(torch.tensor([2.2]),
2025-03-14T04:34:33.3217005Z     ...                      torch.tensor([0.1, 0.2, 0.3, 0.99]))
2025-03-14T04:34:33.3217105Z     >>> m.sample()
2025-03-14T04:34:33.3217247Z     tensor([ 0.2951,  0.3442,  0.8918,  0.9021])
2025-03-14T04:34:33.3217253Z 
2025-03-14T04:34:33.3217341Z Args:
2025-03-14T04:34:33.3217497Z     temperature (Tensor): relaxation temperature
2025-03-14T04:34:33.3217679Z     probs (Number, Tensor): the probability of sampling `1`
2025-03-14T04:34:33.3217861Z     logits (Number, Tensor): the log-odds of sampling `1`
2025-03-14T04:34:33.3217865Z 
2025-03-14T04:34:33.3218130Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:33.3218135Z 
2025-03-14T04:34:33.3235567Z msg = Cannot scrape callname=RelaxedOneHotCategorical in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/relaxed_categorical.py line=101.
2025-03-14T04:34:33.3235872Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:33.3235878Z 
2025-03-14T04:34:33.3236103Z Creates a RelaxedOneHotCategorical distribution parametrized by
2025-03-14T04:34:33.3236319Z :attr:`temperature`, and either :attr:`probs` or :attr:`logits`.
2025-03-14T04:34:33.3236679Z This is a relaxed version of the :class:`OneHotCategorical` distribution, so
2025-03-14T04:34:33.3236868Z its samples are on simplex, and are reparametrizable.
2025-03-14T04:34:33.3236873Z 
2025-03-14T04:34:33.3236977Z Example::
2025-03-14T04:34:33.3236981Z 
2025-03-14T04:34:33.3237143Z     >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-03-14T04:34:33.3237312Z     >>> m = RelaxedOneHotCategorical(torch.tensor([2.2]),
2025-03-14T04:34:33.3237465Z     ...                              torch.tensor([0.1, 0.2, 0.3, 0.4]))
2025-03-14T04:34:33.3237564Z     >>> m.sample()
2025-03-14T04:34:33.3237702Z     tensor([ 0.1294,  0.2324,  0.3859,  0.2523])
2025-03-14T04:34:33.3237707Z 
2025-03-14T04:34:33.3237797Z Args:
2025-03-14T04:34:33.3237955Z     temperature (Tensor): relaxation temperature
2025-03-14T04:34:33.3238080Z     probs (Tensor): event probabilities
2025-03-14T04:34:33.3238284Z     logits (Tensor): unnormalized log probability for each event
2025-03-14T04:34:33.3238342Z 
2025-03-14T04:34:33.3238608Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:33.3238612Z 
2025-03-14T04:34:33.6845127Z msg = Cannot scrape callname=assoc_in in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py line=245.
2025-03-14T04:34:33.6846987Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:33.6847608Z Return a new dict with new, potentially nested, key value pair
2025-03-14T04:34:33.6847984Z 
2025-03-14T04:34:33.6848126Z     >>> purchase = {
2025-03-14T04:34:33.6848403Z     ...     "name": "Alice",
2025-03-14T04:34:33.6848893Z     ...     "order": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]},
2025-03-14T04:34:33.6849679Z     ...     "credit card": "5555-1234-1234-1234",
2025-03-14T04:34:33.6850018Z     ... }
2025-03-14T04:34:33.6850371Z     >>> assoc_in(purchase, ["order", "costs"], [0.25, 1.00])  # doctest: +SKIP
2025-03-14T04:34:33.6850934Z     {'credit card': '5555-1234-1234-1234',
2025-03-14T04:34:33.6851300Z      'name': 'Alice',
2025-03-14T04:34:33.6851671Z      'order': {'costs': [0.25, 1.00], 'items': ['Apple', 'Orange']}}
2025-03-14T04:34:33.6852170Z     
2025-03-14T04:34:33.6852906Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:33.6853313Z 
2025-03-14T04:34:33.6853997Z msg = Cannot scrape callname=update_in in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py line=261.
2025-03-14T04:34:33.6855067Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:33.6855626Z Update value in a (potentially) nested dictionary
2025-03-14T04:34:33.6855906Z 
2025-03-14T04:34:33.6856001Z     inputs:
2025-03-14T04:34:33.6856266Z     d - dictionary on which to operate
2025-03-14T04:34:33.6856733Z     keys - list or tuple giving the location of the value to be changed in d
2025-03-14T04:34:33.6857226Z     func - function to operate on that value
2025-03-14T04:34:33.6857477Z 
2025-03-14T04:34:33.6857676Z     If keys == [k0,..,kX] and d[k0]..[kX] == v, update_in returns a copy of the
2025-03-14T04:34:33.6858245Z     original dictionary with v replaced by func(v), but does not mutate the
2025-03-14T04:34:33.6858721Z     original dictionary.
2025-03-14T04:34:33.6858912Z 
2025-03-14T04:34:33.6859135Z     If k0 is not a key in d, update_in creates nested dictionaries to the depth
2025-03-14T04:34:33.6859704Z     specified by the keys, with the innermost value set to func(default).
2025-03-14T04:34:33.6860065Z 
2025-03-14T04:34:33.6860174Z     >>> inc = lambda x: x + 1
2025-03-14T04:34:33.6860495Z     >>> update_in({"a": 0}, ["a"], inc)
2025-03-14T04:34:33.6860818Z     {'a': 1}
2025-03-14T04:34:33.6860956Z 
2025-03-14T04:34:33.6861077Z     >>> transaction = {
2025-03-14T04:34:33.6861360Z     ...     "name": "Alice",
2025-03-14T04:34:33.6861750Z     ...     "purchase": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]},
2025-03-14T04:34:33.6862433Z     ...     "credit card": "5555-1234-1234-1234",
2025-03-14T04:34:33.6862773Z     ... }
2025-03-14T04:34:33.6863140Z     >>> update_in(transaction, ["purchase", "costs"], sum)  # doctest: +SKIP
2025-03-14T04:34:33.6863611Z     {'credit card': '5555-1234-1234-1234',
2025-03-14T04:34:33.6863945Z      'name': 'Alice',
2025-03-14T04:34:33.6864301Z      'purchase': {'costs': 1.75, 'items': ['Apple', 'Orange']}}
2025-03-14T04:34:33.6864594Z 
2025-03-14T04:34:33.6864743Z     >>> # updating a value when k0 is not in d
2025-03-14T04:34:33.6865117Z     >>> update_in({}, [1, 2, 3], str, default="bar")
2025-03-14T04:34:33.6865476Z     {1: {2: {3: 'bar'}}}
2025-03-14T04:34:33.6865778Z     >>> update_in({1: "foo"}, [2, 3, 4], inc, 0)
2025-03-14T04:34:33.6866126Z     {1: 'foo', 2: {3: {4: 1}}}
2025-03-14T04:34:33.6866410Z     
2025-03-14T04:34:33.6866801Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:33.6867445Z 
2025-03-14T04:34:33.6868113Z msg = Cannot scrape callname=get_in in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py line=320.
2025-03-14T04:34:33.6869168Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:33.6869746Z Returns coll[i0][i1]...[iX] where [i0, i1, ..., iX]==keys.
2025-03-14T04:34:33.6870050Z 
2025-03-14T04:34:33.6870301Z     If coll[i0][i1]...[iX] cannot be found, returns ``default``, unless
2025-03-14T04:34:33.6870835Z     ``no_default`` is specified, then it raises KeyError or IndexError.
2025-03-14T04:34:33.6871176Z 
2025-03-14T04:34:33.6871392Z     ``get_in`` is a generalization of ``operator.getitem`` for nested data
2025-03-14T04:34:33.6871873Z     structures such as dictionaries and lists.
2025-03-14T04:34:33.6872139Z 
2025-03-14T04:34:33.6872248Z     >>> transaction = {
2025-03-14T04:34:33.6872533Z     ...     "name": "Alice",
2025-03-14T04:34:33.6872979Z     ...     "purchase": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]},
2025-03-14T04:34:33.6873428Z     ...     "credit card": "5555-1234-1234-1234",
2025-03-14T04:34:33.6873762Z     ... }
2025-03-14T04:34:33.6874047Z     >>> get_in(["purchase", "items", 0], transaction)
2025-03-14T04:34:33.6874412Z     'Apple'
2025-03-14T04:34:33.6874669Z     >>> get_in(["name"], transaction)
2025-03-14T04:34:33.6874990Z     'Alice'
2025-03-14T04:34:33.6875336Z     >>> get_in(["purchase", "total"], transaction)
2025-03-14T04:34:33.6875739Z     >>> get_in(["purchase", "items", "apple"], transaction)
2025-03-14T04:34:33.6876161Z     >>> get_in(["purchase", "items", 10], transaction)
2025-03-14T04:34:33.6876569Z     >>> get_in(["purchase", "total"], transaction, 0)
2025-03-14T04:34:33.6876926Z     0
2025-03-14T04:34:33.6877171Z     >>> get_in(["y"], {}, no_default=True)
2025-03-14T04:34:33.6877526Z     Traceback (most recent call last):
2025-03-14T04:34:33.6877850Z         ...
2025-03-14T04:34:33.6878083Z     KeyError: 'y'
2025-03-14T04:34:33.6878248Z 
2025-03-14T04:34:33.6878344Z     See Also:
2025-03-14T04:34:33.6878590Z         itertoolz.get
2025-03-14T04:34:33.6878864Z         operator.getitem
2025-03-14T04:34:33.6879136Z     
2025-03-14T04:34:33.6879528Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:33.6879909Z 
2025-03-14T04:34:33.6880634Z msg = Cannot scrape callname=groupby in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py line=373.
2025-03-14T04:34:33.6881702Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:33.6882223Z Group a collection by a key function
2025-03-14T04:34:33.6882445Z 
2025-03-14T04:34:33.6882634Z     >>> names = ["Alice", "Bob", "Charlie", "Dan", "Edith", "Frank"]
2025-03-14T04:34:33.6883067Z     >>> groupby(len, names)  # doctest: +SKIP
2025-03-14T04:34:33.6883489Z     {3: ['Bob', 'Dan'], 5: ['Alice', 'Edith', 'Frank'], 7: ['Charlie']}
2025-03-14T04:34:33.6883777Z 
2025-03-14T04:34:33.6883964Z     >>> iseven = lambda x: x % 2 == 0
2025-03-14T04:34:33.6884366Z     >>> groupby(iseven, [1, 2, 3, 4, 5, 6, 7, 8])  # doctest: +SKIP
2025-03-14T04:34:33.6884788Z     {False: [1, 3, 5, 7], True: [2, 4, 6, 8]}
2025-03-14T04:34:33.6885016Z 
2025-03-14T04:34:33.6885179Z     Non-callable keys imply grouping on a member.
2025-03-14T04:34:33.6885438Z 
2025-03-14T04:34:33.6885547Z     >>> groupby(
2025-03-14T04:34:33.6885803Z     ...     "gender",
2025-03-14T04:34:33.6886064Z     ...     [
2025-03-14T04:34:33.6886318Z     ...         {"name": "Alice", "gender": "F"},
2025-03-14T04:34:33.6886691Z     ...         {"name": "Bob", "gender": "M"},
2025-03-14T04:34:33.6887062Z     ...         {"name": "Charlie", "gender": "M"},
2025-03-14T04:34:33.6887405Z     ...     ],
2025-03-14T04:34:33.6887659Z     ... )  # doctest:+SKIP
2025-03-14T04:34:33.6887966Z     {'F': [{'gender': 'F', 'name': 'Alice'}],
2025-03-14T04:34:33.6888323Z      'M': [{'gender': 'M', 'name': 'Bob'},
2025-03-14T04:34:33.6888752Z            {'gender': 'M', 'name': 'Charlie'}]}
2025-03-14T04:34:33.6889100Z 
2025-03-14T04:34:33.6889250Z     Not to be confused with ``itertools.groupby``
2025-03-14T04:34:33.6889526Z 
2025-03-14T04:34:33.6889622Z     See Also:
2025-03-14T04:34:33.6889871Z         countby
2025-03-14T04:34:33.6890115Z     
2025-03-14T04:34:33.6890509Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:33.6890931Z 
2025-03-14T04:34:34.0485656Z msg = Cannot scrape callname=SyncBatchNorm in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/batchnorm.py line=601.
2025-03-14T04:34:34.0487165Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:34.0487749Z Applies Batch Normalization over a N-Dimensional input.
2025-03-14T04:34:34.0488047Z 
2025-03-14T04:34:34.0488574Z     The N-D input is a mini-batch of [N-2]D inputs with additional channel dimension) as described in the paper
2025-03-14T04:34:34.0489879Z     `Batch Normalization: Accelerating Deep Network Training by Reducing
2025-03-14T04:34:34.0490609Z     Internal Covariate Shift <https://arxiv.org/abs/1502.03167>`__ .
2025-03-14T04:34:34.0490948Z 
2025-03-14T04:34:34.0491075Z     .. math::
2025-03-14T04:34:34.0491268Z 
2025-03-14T04:34:34.0491503Z         y = \frac{x - \mathrm{E}[x]}{ \sqrt{\mathrm{Var}[x] + \epsilon}} * \gamma + \beta
2025-03-14T04:34:34.0491860Z 
2025-03-14T04:34:34.0492103Z     The mean and standard-deviation are calculated per-dimension over all
2025-03-14T04:34:34.0492711Z     mini-batches of the same process groups. :math:`\gamma` and :math:`\beta`
2025-03-14T04:34:34.0493335Z     are learnable parameter vectors of size `C` (where `C` is the input size).
2025-03-14T04:34:34.0493903Z     By default, the elements of :math:`\gamma` are sampled from
2025-03-14T04:34:34.0494423Z     :math:`\mathcal{U}(0, 1)` and the elements of :math:`\beta` are set to 0.
2025-03-14T04:34:34.0495029Z     The standard-deviation is calculated via the biased estimator, equivalent to
2025-03-14T04:34:34.0495559Z     `torch.var(input, unbiased=False)`.
2025-03-14T04:34:34.0495804Z 
2025-03-14T04:34:34.0496052Z     Also by default, during training this layer keeps running estimates of its
2025-03-14T04:34:34.0496668Z     computed mean and variance, which are then used for normalization during
2025-03-14T04:34:34.0497294Z     evaluation. The running estimates are kept with a default :attr:`momentum`
2025-03-14T04:34:34.0497773Z     of 0.1.
2025-03-14T04:34:34.0497917Z 
2025-03-14T04:34:34.0498155Z     If :attr:`track_running_stats` is set to ``False``, this layer then does not
2025-03-14T04:34:34.0498750Z     keep running estimates, and batch statistics are instead used during
2025-03-14T04:34:34.0499220Z     evaluation time as well.
2025-03-14T04:34:34.0499414Z 
2025-03-14T04:34:34.0499523Z     .. note::
2025-03-14T04:34:34.0499902Z         This :attr:`momentum` argument is different from one used in optimizer
2025-03-14T04:34:34.0500610Z         classes and the conventional notion of momentum. Mathematically, the
2025-03-14T04:34:34.0501122Z         update rule for running statistics here is
2025-03-14T04:34:34.0501660Z         :math:`\hat{x}_\text{new} = (1 - \text{momentum}) \times \hat{x} + \text{momentum} \times x_t`,
2025-03-14T04:34:34.0502278Z         where :math:`\hat{x}` is the estimated statistic and :math:`x_t` is the
2025-03-14T04:34:34.0502730Z         new observed value.
2025-03-14T04:34:34.0502920Z 
2025-03-14T04:34:34.0503246Z     Because the Batch Normalization is done for each channel in the ``C`` dimension, computing
2025-03-14T04:34:34.0503943Z     statistics on ``(N, +)`` slices, it's common terminology to call this Volumetric Batch
2025-03-14T04:34:34.0504513Z     Normalization or Spatio-temporal Batch Normalization.
2025-03-14T04:34:34.0504811Z 
2025-03-14T04:34:34.0504977Z     Currently :class:`SyncBatchNorm` only supports
2025-03-14T04:34:34.0505544Z     :class:`~torch.nn.DistributedDataParallel` (DDP) with single GPU per process. Use
2025-03-14T04:34:34.0506253Z     :meth:`torch.nn.SyncBatchNorm.convert_sync_batchnorm()` to convert
2025-03-14T04:34:34.0506815Z     :attr:`BatchNorm*D` layer to :class:`SyncBatchNorm` before wrapping
2025-03-14T04:34:34.0507248Z     Network with DDP.
2025-03-14T04:34:34.0507431Z 
2025-03-14T04:34:34.0507524Z     Args:
2025-03-14T04:34:34.0507836Z         num_features: :math:`C` from an expected input of size
2025-03-14T04:34:34.0508291Z             :math:`(N, C, +)`
2025-03-14T04:34:34.0508687Z         eps: a value added to the denominator for numerical stability.
2025-03-14T04:34:34.0509118Z             Default: ``1e-5``
2025-03-14T04:34:34.0509517Z         momentum: the value used for the running_mean and running_var
2025-03-14T04:34:34.0510063Z             computation. Can be set to ``None`` for cumulative moving average
2025-03-14T04:34:34.0510539Z             (i.e. simple average). Default: 0.1
2025-03-14T04:34:34.0510999Z         affine: a boolean value that when set to ``True``, this module has
2025-03-14T04:34:34.0511540Z             learnable affine parameters. Default: ``True``
2025-03-14T04:34:34.0512042Z         track_running_stats: a boolean value that when set to ``True``, this
2025-03-14T04:34:34.0512631Z             module tracks the running mean and variance, and when set to ``False``,
2025-03-14T04:34:34.0513240Z             this module does not track such statistics, and initializes statistics
2025-03-14T04:34:34.0513825Z             buffers :attr:`running_mean` and :attr:`running_var` as ``None``.
2025-03-14T04:34:34.0514406Z             When these buffers are ``None``, this module always uses batch statistics.
2025-03-14T04:34:34.0514937Z             in both training and eval modes. Default: ``True``
2025-03-14T04:34:34.0515595Z         process_group: synchronization of stats happen within each process group
2025-03-14T04:34:34.0516219Z             individually. Default behavior is synchronization across the whole
2025-03-14T04:34:34.0516678Z             world
2025-03-14T04:34:34.0516829Z 
2025-03-14T04:34:34.0516937Z     Shape:
2025-03-14T04:34:34.0517193Z         - Input: :math:`(N, C, +)`
2025-03-14T04:34:34.0517564Z         - Output: :math:`(N, C, +)` (same shape as input)
2025-03-14T04:34:34.0517831Z 
2025-03-14T04:34:34.0517942Z     .. note::
2025-03-14T04:34:34.0518332Z         Synchronization of batchnorm statistics occurs only while training, i.e.
2025-03-14T04:34:34.0518931Z         synchronization is disabled when ``model.eval()`` is set or if
2025-03-14T04:34:34.0519405Z         ``self.training`` is otherwise ``False``.
2025-03-14T04:34:34.0519665Z 
2025-03-14T04:34:34.0519766Z     Examples::
2025-03-14T04:34:34.0519924Z 
2025-03-14T04:34:34.0520032Z         >>> # xdoctest: +SKIP
2025-03-14T04:34:34.0520355Z         >>> # With Learnable Parameters
2025-03-14T04:34:34.0520708Z         >>> m = nn.SyncBatchNorm(100)
2025-03-14T04:34:34.0521064Z         >>> # creating process group (optional)
2025-03-14T04:34:34.0521466Z         >>> # ranks is a list of int identifying rank ids.
2025-03-14T04:34:34.0521908Z         >>> ranks = list(range(8))
2025-03-14T04:34:34.0522235Z         >>> r1, r2 = ranks[:4], ranks[4:]
2025-03-14T04:34:34.0522621Z         >>> # Note: every rank calls into new_group for every
2025-03-14T04:34:34.0523068Z         >>> # process group created, even if that rank is not
2025-03-14T04:34:34.0523462Z         >>> # part of the group.
2025-03-14T04:34:34.0523931Z         >>> process_groups = [torch.distributed.new_group(pids) for pids in [r1, r2]]
2025-03-14T04:34:34.0524532Z         >>> process_group = process_groups[0 if dist.get_rank() <= 3 else 1]
2025-03-14T04:34:34.0524994Z         >>> # Without Learnable Parameters
2025-03-14T04:34:34.0525451Z         >>> m = nn.BatchNorm3d(100, affine=False, process_group=process_group)
2025-03-14T04:34:34.0525923Z         >>> input = torch.randn(20, 100, 35, 45, 10)
2025-03-14T04:34:34.0526280Z         >>> output = m(input)
2025-03-14T04:34:34.0526471Z 
2025-03-14T04:34:34.0526607Z         >>> # network is nn.BatchNorm layer
2025-03-14T04:34:34.0527217Z         >>> sync_bn_network = nn.SyncBatchNorm.convert_sync_batchnorm(network, process_group)
2025-03-14T04:34:34.0527806Z         >>> # only single gpu per process is currently supported
2025-03-14T04:34:34.0528327Z         >>> ddp_sync_bn_network = torch.nn.parallel.DistributedDataParallel(
2025-03-14T04:34:34.0528788Z         >>>                         sync_bn_network,
2025-03-14T04:34:34.0529200Z         >>>                         device_ids=[args.local_rank],
2025-03-14T04:34:34.0529602Z         >>>                         output_device=args.local_rank)
2025-03-14T04:34:34.0529956Z     
2025-03-14T04:34:34.0530347Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:34.0530738Z 
2025-03-14T04:34:34.0531408Z msg = Cannot scrape callname=SyncBatchNorm.convert_sync_batchnorm in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/batchnorm.py line=825.
2025-03-14T04:34:34.0532470Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:34.0533230Z Converts all :attr:`BatchNorm*D` layers in the model to :class:`torch.nn.SyncBatchNorm` layers.
2025-03-14T04:34:34.0533675Z 
2025-03-14T04:34:34.0533803Z         Args:
2025-03-14T04:34:34.0534303Z             module (nn.Module): module containing one or more :attr:`BatchNorm*D` layers
2025-03-14T04:34:34.0534924Z             process_group (optional): process group to scope synchronization,
2025-03-14T04:34:34.0535403Z                 default is the whole world
2025-03-14T04:34:34.0535631Z 
2025-03-14T04:34:34.0535732Z         Returns:
2025-03-14T04:34:34.0536152Z             The original :attr:`module` with the converted :class:`torch.nn.SyncBatchNorm`
2025-03-14T04:34:34.0536773Z             layers. If the original :attr:`module` is a :attr:`BatchNorm*D` layer,
2025-03-14T04:34:34.0537354Z             a new :class:`torch.nn.SyncBatchNorm` layer object will be returned
2025-03-14T04:34:34.0537801Z             instead.
2025-03-14T04:34:34.0537979Z 
2025-03-14T04:34:34.0538087Z         Example::
2025-03-14T04:34:34.0538253Z 
2025-03-14T04:34:34.0538385Z             >>> # Network with nn.BatchNorm layer
2025-03-14T04:34:34.0538791Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-03-14T04:34:34.0539195Z             >>> module = torch.nn.Sequential(
2025-03-14T04:34:34.0539574Z             >>>            torch.nn.Linear(20, 100),
2025-03-14T04:34:34.0539960Z             >>>            torch.nn.BatchNorm1d(100),
2025-03-14T04:34:34.0540316Z             >>>          ).cuda()
2025-03-14T04:34:34.0540662Z             >>> # creating process group (optional)
2025-03-14T04:34:34.0541079Z             >>> # ranks is a list of int identifying rank ids.
2025-03-14T04:34:34.0541469Z             >>> ranks = list(range(8))
2025-03-14T04:34:34.0541813Z             >>> r1, r2 = ranks[:4], ranks[4:]
2025-03-14T04:34:34.0542199Z             >>> # Note: every rank calls into new_group for every
2025-03-14T04:34:34.0542692Z             >>> # process group created, even if that rank is not
2025-03-14T04:34:34.0543094Z             >>> # part of the group.
2025-03-14T04:34:34.0543443Z             >>> # xdoctest: +SKIP("distributed")
2025-03-14T04:34:34.0543950Z             >>> process_groups = [torch.distributed.new_group(pids) for pids in [r1, r2]]
2025-03-14T04:34:34.0544551Z             >>> process_group = process_groups[0 if dist.get_rank() <= 3 else 1]
2025-03-14T04:34:34.0545201Z             >>> sync_bn_module = torch.nn.SyncBatchNorm.convert_sync_batchnorm(module, process_group)
2025-03-14T04:34:34.0545626Z 
2025-03-14T04:34:34.0545729Z         
2025-03-14T04:34:34.0546115Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:34.0546507Z 
2025-03-14T04:34:34.0731792Z msg = Cannot scrape callname=Unflatten in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/flatten.py line=60.
2025-03-14T04:34:34.0732743Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:34.0733338Z 
2025-03-14T04:34:34.0733676Z Unflattens a tensor dim expanding it to a desired shape. For use with :class:`~nn.Sequential`.
2025-03-14T04:34:34.0734190Z 
2025-03-14T04:34:34.0734488Z * :attr:`dim` specifies the dimension of the input tensor to be unflattened, and it can
2025-03-14T04:34:34.0735137Z   be either `int` or `str` when `Tensor` or `NamedTensor` is used, respectively.
2025-03-14T04:34:34.0735558Z 
2025-03-14T04:34:34.0735897Z * :attr:`unflattened_size` is the new shape of the unflattened dimension of the tensor and it can be
2025-03-14T04:34:34.0736610Z   a `tuple` of ints or a `list` of ints or `torch.Size` for `Tensor` input;  a `NamedShape`
2025-03-14T04:34:34.0737204Z   (tuple of `(name, size)` tuples) for `NamedTensor` input.
2025-03-14T04:34:34.0737498Z 
2025-03-14T04:34:34.0737607Z Shape:
2025-03-14T04:34:34.0737968Z     - Input: :math:`(*, S_{\text{dim}}, *)`, where :math:`S_{\text{dim}}` is the size at
2025-03-14T04:34:34.0738587Z       dimension :attr:`dim` and :math:`*` means any number of dimensions including none.
2025-03-14T04:34:34.0739255Z     - Output: :math:`(*, U_1, ..., U_n, *)`, where :math:`U` = :attr:`unflattened_size` and
2025-03-14T04:34:34.0739743Z       :math:`\prod_{i=1}^n U_i = S_{\text{dim}}`.
2025-03-14T04:34:34.0739989Z 
2025-03-14T04:34:34.0740096Z Args:
2025-03-14T04:34:34.0740377Z     dim (Union[int, str]): Dimension to be unflattened
2025-03-14T04:34:34.0741019Z     unflattened_size (Union[torch.Size, Tuple, List, NamedShape]): New shape of the unflattened dimension
2025-03-14T04:34:34.0741512Z 
2025-03-14T04:34:34.0741613Z Examples:
2025-03-14T04:34:34.0741870Z     >>> input = torch.randn(2, 50)
2025-03-14T04:34:34.0742197Z     >>> # With tuple of ints
2025-03-14T04:34:34.0742504Z     >>> m = nn.Sequential(
2025-03-14T04:34:34.0742798Z     >>>     nn.Linear(50, 50),
2025-03-14T04:34:34.0743112Z     >>>     nn.Unflatten(1, (2, 5, 5))
2025-03-14T04:34:34.0743426Z     >>> )
2025-03-14T04:34:34.0743666Z     >>> output = m(input)
2025-03-14T04:34:34.0743961Z     >>> output.size()
2025-03-14T04:34:34.0744237Z     torch.Size([2, 2, 5, 5])
2025-03-14T04:34:34.0744536Z     >>> # With torch.Size
2025-03-14T04:34:34.0744819Z     >>> m = nn.Sequential(
2025-03-14T04:34:34.0745109Z     >>>     nn.Linear(50, 50),
2025-03-14T04:34:34.0745436Z     >>>     nn.Unflatten(1, torch.Size([2, 5, 5]))
2025-03-14T04:34:34.0745785Z     >>> )
2025-03-14T04:34:34.0746012Z     >>> output = m(input)
2025-03-14T04:34:34.0746301Z     >>> output.size()
2025-03-14T04:34:34.0746578Z     torch.Size([2, 2, 5, 5])
2025-03-14T04:34:34.0746896Z     >>> # With namedshape (tuple of tuples)
2025-03-14T04:34:34.0747295Z     >>> input = torch.randn(2, 50, names=('N', 'features'))
2025-03-14T04:34:34.0747787Z     >>> unflatten = nn.Unflatten('features', (('C', 2), ('H', 5), ('W', 5)))
2025-03-14T04:34:34.0748243Z     >>> output = unflatten(input)
2025-03-14T04:34:34.0748561Z     >>> output.size()
2025-03-14T04:34:34.0748836Z     torch.Size([2, 2, 5, 5])
2025-03-14T04:34:34.0749027Z 
2025-03-14T04:34:34.0749376Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:34.0749761Z 
2025-03-14T04:34:34.1064152Z msg = Cannot scrape callname=TripletMarginWithDistanceLoss in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py line=1700.
2025-03-14T04:34:34.1065303Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:34.1065999Z Creates a criterion that measures the triplet loss given input
2025-03-14T04:34:34.1066586Z     tensors :math:`a`, :math:`p`, and :math:`n` (representing anchor,
2025-03-14T04:34:34.1067322Z     positive, and negative examples, respectively), and a nonnegative,
2025-03-14T04:34:34.1067999Z     real-valued function ("distance function") used to compute the relationship
2025-03-14T04:34:34.1068716Z     between the anchor and positive example ("positive distance") and the
2025-03-14T04:34:34.1069248Z     anchor and negative example ("negative distance").
2025-03-14T04:34:34.1069794Z 
2025-03-14T04:34:34.1070025Z     The unreduced loss (i.e., with :attr:`reduction` set to ``'none'``)
2025-03-14T04:34:34.1070533Z     can be described as:
2025-03-14T04:34:34.1070712Z 
2025-03-14T04:34:34.1070888Z     .. math::
2025-03-14T04:34:34.1071192Z         \ell(a, p, n) = L = \{l_1,\dots,l_N\}^\top, \quad
2025-03-14T04:34:34.1071678Z         l_i = \max \{d(a_i, p_i) - d(a_i, n_i) + {\rm margin}, 0\}
2025-03-14T04:34:34.1072030Z 
2025-03-14T04:34:34.1072301Z     where :math:`N` is the batch size; :math:`d` is a nonnegative, real-valued function
2025-03-14T04:34:34.1073050Z     quantifying the closeness of two tensors, referred to as the :attr:`distance_function`;
2025-03-14T04:34:34.1073798Z     and :math:`margin` is a nonnegative margin representing the minimum difference
2025-03-14T04:34:34.1074496Z     between the positive and negative distances that is required for the loss to
2025-03-14T04:34:34.1075247Z     be 0.  The input tensors have :math:`N` elements each and can be of any shape
2025-03-14T04:34:34.1075899Z     that the distance function can handle.
2025-03-14T04:34:34.1076151Z 
2025-03-14T04:34:34.1076332Z     If :attr:`reduction` is not ``'none'``
2025-03-14T04:34:34.1076695Z     (default ``'mean'``), then:
2025-03-14T04:34:34.1076901Z 
2025-03-14T04:34:34.1077056Z     .. math::
2025-03-14T04:34:34.1077308Z         \ell(x, y) =
2025-03-14T04:34:34.1077570Z         \begin{cases}
2025-03-14T04:34:34.1078011Z             \operatorname{mean}(L), &  \text{if reduction} = \text{`mean';}\\
2025-03-14T04:34:34.1078614Z             \operatorname{sum}(L),  &  \text{if reduction} = \text{`sum'.}
2025-03-14T04:34:34.1079052Z         \end{cases}
2025-03-14T04:34:34.1079251Z 
2025-03-14T04:34:34.1079516Z     See also :class:`~torch.nn.TripletMarginLoss`, which computes the triplet
2025-03-14T04:34:34.1080210Z     loss for input tensors using the :math:`l_p` distance as the distance function.
2025-03-14T04:34:34.1080612Z 
2025-03-14T04:34:34.1080720Z     Args:
2025-03-14T04:34:34.1081201Z         distance_function (Callable, optional): A nonnegative, real-valued function that
2025-03-14T04:34:34.1081870Z             quantifies the closeness of two tensors. If not specified,
2025-03-14T04:34:34.1082434Z             `nn.PairwiseDistance` will be used.  Default: ``None``
2025-03-14T04:34:34.1083042Z         margin (float, optional): A nonnegative margin representing the minimum difference
2025-03-14T04:34:34.1083780Z             between the positive and negative distances required for the loss to be 0. Larger
2025-03-14T04:34:34.1084533Z             margins penalize cases where the negative examples are not distant enough from the
2025-03-14T04:34:34.1085175Z             anchors, relative to the positives. Default: :math:`1`.
2025-03-14T04:34:34.1085797Z         swap (bool, optional): Whether to use the distance swap described in the paper
2025-03-14T04:34:34.1086517Z             `Learning shallow convolutional feature descriptors with triplet losses` by
2025-03-14T04:34:34.1087297Z             V. Balntas, E. Riba et al. If True, and if the positive example is closer to the
2025-03-14T04:34:34.1088005Z             negative example than the anchor is, swaps the positive example and the anchor in
2025-03-14T04:34:34.1088612Z             the loss computation. Default: ``False``.
2025-03-14T04:34:34.1089219Z         reduction (str, optional): Specifies the (optional) reduction to apply to the output:
2025-03-14T04:34:34.1089844Z             ``'none'`` | ``'mean'`` | ``'sum'``. ``'none'``: no reduction will be applied,
2025-03-14T04:34:34.1090411Z             ``'mean'``: the sum of the output will be divided by the number of
2025-03-14T04:34:34.1091038Z             elements in the output, ``'sum'``: the output will be summed. Default: ``'mean'``
2025-03-14T04:34:34.1091441Z 
2025-03-14T04:34:34.1091448Z 
2025-03-14T04:34:34.1091576Z     Shape:
2025-03-14T04:34:34.1091980Z         - Input: :math:`(N, *)` where :math:`*` represents any number of additional dimensions
2025-03-14T04:34:34.1092604Z           as supported by the distance function.
2025-03-14T04:34:34.1093180Z         - Output: A Tensor of shape :math:`(N)` if :attr:`reduction` is ``'none'``, or a scalar
2025-03-14T04:34:34.1093683Z           otherwise.
2025-03-14T04:34:34.1093885Z 
2025-03-14T04:34:34.1094006Z     Examples::
2025-03-14T04:34:34.1094152Z 
2025-03-14T04:34:34.1094275Z     >>> # Initialize embeddings
2025-03-14T04:34:34.1094689Z     >>> embedding = nn.Embedding(1000, 128)
2025-03-14T04:34:34.1095072Z     >>> anchor_ids = torch.randint(0, 1000, (1,))
2025-03-14T04:34:34.1095507Z     >>> positive_ids = torch.randint(0, 1000, (1,))
2025-03-14T04:34:34.1095909Z     >>> negative_ids = torch.randint(0, 1000, (1,))
2025-03-14T04:34:34.1096349Z     >>> anchor = embedding(anchor_ids)
2025-03-14T04:34:34.1096731Z     >>> positive = embedding(positive_ids)
2025-03-14T04:34:34.1097151Z     >>> negative = embedding(negative_ids)
2025-03-14T04:34:34.1097504Z     >>>
2025-03-14T04:34:34.1097786Z     >>> # Built-in Distance Function
2025-03-14T04:34:34.1098172Z     >>> triplet_loss = \
2025-03-14T04:34:34.1098700Z     >>>     nn.TripletMarginWithDistanceLoss(distance_function=nn.PairwiseDistance())
2025-03-14T04:34:34.1099345Z     >>> output = triplet_loss(anchor, positive, negative)
2025-03-14T04:34:34.1099751Z     >>> output.backward()
2025-03-14T04:34:34.1100086Z     >>>
2025-03-14T04:34:34.1100339Z     >>> # Custom Distance Function
2025-03-14T04:34:34.1100671Z     >>> def l_infinity(x1, x2):
2025-03-14T04:34:34.1101095Z     >>>     return torch.max(torch.abs(x1 - x2), dim=1).values
2025-03-14T04:34:34.1101472Z     >>>
2025-03-14T04:34:34.1101805Z     >>> # xdoctest: +SKIP("FIXME: Would call backwards a second time")
2025-03-14T04:34:34.1102273Z     >>> triplet_loss = (
2025-03-14T04:34:34.1102750Z     >>>     nn.TripletMarginWithDistanceLoss(distance_function=l_infinity, margin=1.5))
2025-03-14T04:34:34.1103340Z     >>> output = triplet_loss(anchor, positive, negative)
2025-03-14T04:34:34.1103733Z     >>> output.backward()
2025-03-14T04:34:34.1104018Z     >>>
2025-03-14T04:34:34.1104298Z     >>> # Custom Distance Function (Lambda)
2025-03-14T04:34:34.1104677Z     >>> triplet_loss = (
2025-03-14T04:34:34.1104998Z     >>>     nn.TripletMarginWithDistanceLoss(
2025-03-14T04:34:34.1105483Z     >>>         distance_function=lambda x, y: 1.0 - F.cosine_similarity(x, y)))
2025-03-14T04:34:34.1105992Z     >>> output = triplet_loss(anchor, positive, negative)
2025-03-14T04:34:34.1106393Z     >>> output.backward()
2025-03-14T04:34:34.1106573Z 
2025-03-14T04:34:34.1106683Z     Reference:
2025-03-14T04:34:34.1107150Z         V. Balntas, et al.: Learning shallow convolutional feature descriptors with triplet losses:
2025-03-14T04:34:34.1107832Z         https://bmva-archive.org.uk/bmvc/2016/papers/paper119/index.html
2025-03-14T04:34:34.1108335Z     
2025-03-14T04:34:34.1108732Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 17))
2025-03-14T04:34:34.1109117Z 
2025-03-14T04:34:34.1635599Z msg = Cannot scrape callname=MaxUnpool2d in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py line=395.
2025-03-14T04:34:34.1636609Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:34.1637176Z Computes a partial inverse of :class:`MaxPool2d`.
2025-03-14T04:34:34.1637454Z 
2025-03-14T04:34:34.1637741Z     :class:`MaxPool2d` is not fully invertible, since the non-maximal values are lost.
2025-03-14T04:34:34.1638143Z 
2025-03-14T04:34:34.1638398Z     :class:`MaxUnpool2d` takes in as input the output of :class:`MaxPool2d`
2025-03-14T04:34:34.1639015Z     including the indices of the maximal values and computes a partial inverse
2025-03-14T04:34:34.1639545Z     in which all non-maximal values are set to zero.
2025-03-14T04:34:34.1639811Z 
2025-03-14T04:34:34.1639918Z     Note:
2025-03-14T04:34:34.1640394Z         This operation may behave nondeterministically when the input indices has repeat values.
2025-03-14T04:34:34.1641252Z         See https://github.com/pytorch/pytorch/issues/80827 and :doc:`/notes/randomness` for more information.
2025-03-14T04:34:34.1641838Z 
2025-03-14T04:34:34.1642137Z     .. note:: :class:`MaxPool2d` can map several input sizes to the same output
2025-03-14T04:34:34.1642685Z               sizes. Hence, the inversion process can get ambiguous.
2025-03-14T04:34:34.1643214Z               To accommodate this, you can provide the needed output size
2025-03-14T04:34:34.1643818Z               as an additional argument :attr:`output_size` in the forward call.
2025-03-14T04:34:34.1644297Z               See the Inputs and Example below.
2025-03-14T04:34:34.1644538Z 
2025-03-14T04:34:34.1644647Z     Args:
2025-03-14T04:34:34.1644980Z         kernel_size (int or tuple): Size of the max pooling window.
2025-03-14T04:34:34.1645481Z         stride (int or tuple): Stride of the max pooling window.
2025-03-14T04:34:34.1645937Z             It is set to :attr:`kernel_size` by default.
2025-03-14T04:34:34.1646400Z         padding (int or tuple): Padding that was added to the input
2025-03-14T04:34:34.1646762Z 
2025-03-14T04:34:34.1646879Z     Inputs:
2025-03-14T04:34:34.1647143Z         - `input`: the input Tensor to invert
2025-03-14T04:34:34.1647612Z         - `indices`: the indices given out by :class:`~torch.nn.MaxPool2d`
2025-03-14T04:34:34.1648127Z         - `output_size` (optional): the targeted output size
2025-03-14T04:34:34.1648423Z 
2025-03-14T04:34:34.1648520Z     Shape:
2025-03-14T04:34:34.1648862Z         - Input: :math:`(N, C, H_{in}, W_{in})` or :math:`(C, H_{in}, W_{in})`.
2025-03-14T04:34:34.1649408Z         - Output: :math:`(N, C, H_{out}, W_{out})` or :math:`(C, H_{out}, W_{out})`, where
2025-03-14T04:34:34.1649767Z 
2025-03-14T04:34:34.1649870Z           .. math::
2025-03-14T04:34:34.1650310Z             H_{out} = (H_{in} - 1) \times \text{stride[0]} - 2 \times \text{padding[0]} + \text{kernel\_size[0]}
2025-03-14T04:34:34.1650716Z 
2025-03-14T04:34:34.1650818Z           .. math::
2025-03-14T04:34:34.1651245Z             W_{out} = (W_{in} - 1) \times \text{stride[1]} - 2 \times \text{padding[1]} + \text{kernel\_size[1]}
2025-03-14T04:34:34.1651647Z 
2025-03-14T04:34:34.1651821Z           or as given by :attr:`output_size` in the call operator
2025-03-14T04:34:34.1652121Z 
2025-03-14T04:34:34.1652221Z     Example::
2025-03-14T04:34:34.1652370Z 
2025-03-14T04:34:34.1652544Z         >>> pool = nn.MaxPool2d(2, stride=2, return_indices=True)
2025-03-14T04:34:34.1652967Z         >>> unpool = nn.MaxUnpool2d(2, stride=2)
2025-03-14T04:34:34.1653361Z         >>> input = torch.tensor([[[[ 1.,  2.,  3.,  4.],
2025-03-14T04:34:34.1653736Z                                     [ 5.,  6.,  7.,  8.],
2025-03-14T04:34:34.1654086Z                                     [ 9., 10., 11., 12.],
2025-03-14T04:34:34.1654443Z                                     [13., 14., 15., 16.]]]])
2025-03-14T04:34:34.1654806Z         >>> output, indices = pool(input)
2025-03-14T04:34:34.1655160Z         >>> unpool(output, indices)
2025-03-14T04:34:34.1655489Z         tensor([[[[  0.,   0.,   0.,   0.],
2025-03-14T04:34:34.1655871Z                   [  0.,   6.,   0.,   8.],
2025-03-14T04:34:34.1656204Z                   [  0.,   0.,   0.,   0.],
2025-03-14T04:34:34.1656539Z                   [  0.,  14.,   0.,  16.]]]])
2025-03-14T04:34:34.1656990Z         >>> # Now using output_size to resolve an ambiguous size for the inverse
2025-03-14T04:34:34.1657493Z         >>> input = torch.tensor([[[[ 1.,  2.,  3.,  4.,  5.],
2025-03-14T04:34:34.1657891Z                                     [ 6.,  7.,  8.,  9., 10.],
2025-03-14T04:34:34.1658243Z                                     [11., 12., 13., 14., 15.],
2025-03-14T04:34:34.1658605Z                                     [16., 17., 18., 19., 20.]]]])
2025-03-14T04:34:34.1658972Z         >>> output, indices = pool(input)
2025-03-14T04:34:34.1659390Z         >>> # This call will not work without specifying output_size
2025-03-14T04:34:34.1659861Z         >>> unpool(output, indices, output_size=input.size())
2025-03-14T04:34:34.1660296Z         tensor([[[[ 0.,  0.,  0.,  0.,  0.],
2025-03-14T04:34:34.1660637Z                   [ 0.,  7.,  0.,  9.,  0.],
2025-03-14T04:34:34.1660967Z                   [ 0.,  0.,  0.,  0.,  0.],
2025-03-14T04:34:34.1661301Z                   [ 0., 17.,  0., 19.,  0.]]]])
2025-03-14T04:34:34.1661534Z 
2025-03-14T04:34:34.1661538Z 
2025-03-14T04:34:34.1661629Z     
2025-03-14T04:34:34.1662052Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:34.1662445Z 
2025-03-14T04:34:34.1911974Z msg = Cannot scrape callname=EmbeddingBag in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/sparse.py line=270.
2025-03-14T04:34:34.1912973Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:34.1913705Z Compute sums or means of 'bags' of embeddings, without instantiating the intermediate embeddings.
2025-03-14T04:34:34.1914168Z 
2025-03-14T04:34:34.1914502Z     For bags of constant length, no :attr:`per_sample_weights`, no indices equal to :attr:`padding_idx`,
2025-03-14T04:34:34.1915444Z     and with 2D inputs, this class
2025-03-14T04:34:34.1915671Z 
2025-03-14T04:34:34.1916021Z         * with ``mode="sum"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.sum(dim=1)``,
2025-03-14T04:34:34.1916784Z         * with ``mode="mean"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.mean(dim=1)``,
2025-03-14T04:34:34.1917547Z         * with ``mode="max"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.max(dim=1)``.
2025-03-14T04:34:34.1917988Z 
2025-03-14T04:34:34.1918354Z     However, :class:`~torch.nn.EmbeddingBag` is much more time and memory efficient than using a chain of these
2025-03-14T04:34:34.1918943Z     operations.
2025-03-14T04:34:34.1919106Z 
2025-03-14T04:34:34.1919377Z     EmbeddingBag also supports per-sample weights as an argument to the forward
2025-03-14T04:34:34.1920019Z     pass. This scales the output of the Embedding before performing a weighted
2025-03-14T04:34:34.1920661Z     reduction as specified by ``mode``. If :attr:`per_sample_weights` is passed, the
2025-03-14T04:34:34.1921301Z     only supported ``mode`` is ``"sum"``, which computes a weighted sum according to
2025-03-14T04:34:34.1921794Z     :attr:`per_sample_weights`.
2025-03-14T04:34:34.1922011Z 
2025-03-14T04:34:34.1922104Z     Args:
2025-03-14T04:34:34.1922435Z         num_embeddings (int): size of the dictionary of embeddings
2025-03-14T04:34:34.1922928Z         embedding_dim (int): the size of each embedding vector
2025-03-14T04:34:34.1923556Z         max_norm (float, optional): If given, each embedding vector with norm larger than :attr:`max_norm`
2025-03-14T04:34:34.1924170Z                                     is renormalized to have norm :attr:`max_norm`.
2025-03-14T04:34:34.1924819Z         norm_type (float, optional): The p of the p-norm to compute for the :attr:`max_norm` option. Default ``2``.
2025-03-14T04:34:34.1925629Z         scale_grad_by_freq (bool, optional): if given, this will scale gradients by the inverse of frequency of
2025-03-14T04:34:34.1926342Z                                                 the words in the mini-batch. Default ``False``.
2025-03-14T04:34:34.1926838Z                                                 Note: this option is not supported when ``mode="max"``.
2025-03-14T04:34:34.1927422Z         mode (str, optional): ``"sum"``, ``"mean"`` or ``"max"``. Specifies the way to reduce the bag.
2025-03-14T04:34:34.1928043Z                                  ``"sum"`` computes the weighted sum, taking :attr:`per_sample_weights`
2025-03-14T04:34:34.1928632Z                                  into consideration. ``"mean"`` computes the average of the values
2025-03-14T04:34:34.1929180Z                                  in the bag, ``"max"`` computes the max value over each bag.
2025-03-14T04:34:34.1929615Z                                  Default: ``"mean"``
2025-03-14T04:34:34.1930195Z         sparse (bool, optional): if ``True``, gradient w.r.t. :attr:`weight` matrix will be a sparse tensor. See
2025-03-14T04:34:34.1930981Z                                  Notes for more details regarding sparse gradients. Note: this option is not
2025-03-14T04:34:34.1931515Z                                  supported when ``mode="max"``.
2025-03-14T04:34:34.1932161Z         include_last_offset (bool, optional): if ``True``, :attr:`offsets` has one additional element, where the last element
2025-03-14T04:34:34.1932955Z                                       is equivalent to the size of `indices`. This matches the CSR format.
2025-03-14T04:34:34.1933663Z         padding_idx (int, optional): If specified, the entries at :attr:`padding_idx` do not contribute to the
2025-03-14T04:34:34.1934419Z                                      gradient; therefore, the embedding vector at :attr:`padding_idx` is not updated
2025-03-14T04:34:34.1935092Z                                      during training, i.e. it remains as a fixed "pad". For a newly constructed
2025-03-14T04:34:34.1935755Z                                      EmbeddingBag, the embedding vector at :attr:`padding_idx` will default to all
2025-03-14T04:34:34.1936457Z                                      zeros, but can be updated to another value to be used as the padding vector.
2025-03-14T04:34:34.1937099Z                                      Note that the embedding vector at :attr:`padding_idx` is excluded from the
2025-03-14T04:34:34.1937603Z                                      reduction.
2025-03-14T04:34:34.1937833Z 
2025-03-14T04:34:34.1937947Z     Attributes:
2025-03-14T04:34:34.1938440Z         weight (Tensor): the learnable weights of the module of shape `(num_embeddings, embedding_dim)`
2025-03-14T04:34:34.1939047Z                          initialized from :math:`\mathcal{N}(0, 1)`.
2025-03-14T04:34:34.1939314Z 
2025-03-14T04:34:34.1939445Z     Examples::
2025-03-14T04:34:34.1939592Z 
2025-03-14T04:34:34.1939791Z         >>> # an EmbeddingBag module containing 10 tensors of size 3
2025-03-14T04:34:34.1940269Z         >>> embedding_sum = nn.EmbeddingBag(10, 3, mode='sum')
2025-03-14T04:34:34.1940707Z         >>> # a batch of 2 samples of 4 indices each
2025-03-14T04:34:34.1941172Z         >>> input = torch.tensor([1, 2, 4, 5, 4, 3, 2, 9], dtype=torch.long)
2025-03-14T04:34:34.1941661Z         >>> offsets = torch.tensor([0, 4], dtype=torch.long)
2025-03-14T04:34:34.1942083Z         >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-03-14T04:34:34.1942487Z         >>> embedding_sum(input, offsets)
2025-03-14T04:34:34.1942854Z         tensor([[-0.8861, -5.4350, -0.0523],
2025-03-14T04:34:34.1943199Z                 [ 1.1306, -2.5798, -1.0044]])
2025-03-14T04:34:34.1943435Z 
2025-03-14T04:34:34.1943558Z         >>> # Example with padding_idx
2025-03-14T04:34:34.1944010Z         >>> embedding_sum = nn.EmbeddingBag(10, 3, mode='sum', padding_idx=2)
2025-03-14T04:34:34.1944552Z         >>> input = torch.tensor([2, 2, 2, 2, 4, 3, 2, 9], dtype=torch.long)
2025-03-14T04:34:34.1945038Z         >>> offsets = torch.tensor([0, 4], dtype=torch.long)
2025-03-14T04:34:34.1945444Z         >>> embedding_sum(input, offsets)
2025-03-14T04:34:34.1945826Z         tensor([[ 0.0000,  0.0000,  0.0000],
2025-03-14T04:34:34.1946164Z                 [-0.7082,  3.2145, -2.6251]])
2025-03-14T04:34:34.1946395Z 
2025-03-14T04:34:34.1946577Z         >>> # An EmbeddingBag can be loaded from an Embedding like so
2025-03-14T04:34:34.1947038Z         >>> embedding = nn.Embedding(10, 3, padding_idx=2)
2025-03-14T04:34:34.1947483Z         >>> embedding_sum = nn.EmbeddingBag.from_pretrained(
2025-03-14T04:34:34.1947884Z                 embedding.weight,
2025-03-14T04:34:34.1948234Z                 padding_idx=embedding.padding_idx,
2025-03-14T04:34:34.1948597Z                 mode='sum')
2025-03-14T04:34:34.1948878Z     
2025-03-14T04:34:34.1949280Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:34.1949662Z 
2025-03-14T04:34:34.2248648Z msg = Cannot scrape callname=DistributedDataParallel.join in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py line=1742.
2025-03-14T04:34:34.2249904Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:34.2250346Z 
2025-03-14T04:34:34.2250594Z Context manager for training with uneven inputs across processes in DDP.
2025-03-14T04:34:34.2250972Z 
2025-03-14T04:34:34.2251208Z This context manager will keep track of already-joined DDP processes,
2025-03-14T04:34:34.2251841Z and "shadow" the forward and backward passes by inserting collective
2025-03-14T04:34:34.2252426Z communication operations to match with the ones created by non-joined
2025-03-14T04:34:34.2253033Z DDP processes. This will ensure each collective call has a corresponding
2025-03-14T04:34:34.2253630Z call by already-joined DDP processes, preventing hangs or errors that
2025-03-14T04:34:34.2254196Z would otherwise happen when training with uneven inputs across
2025-03-14T04:34:34.2254772Z processes. Alternatively, if the flag ``throw_on_early_termination`` is
2025-03-14T04:34:34.2255413Z specified to be ``True``, all trainers will throw an error once one rank
2025-03-14T04:34:34.2255967Z runs out of inputs, allowing these errors to be caught and handled
2025-03-14T04:34:34.2256421Z according to application logic.
2025-03-14T04:34:34.2256629Z 
2025-03-14T04:34:34.2256878Z Once all DDP processes have joined, the context manager will broadcast
2025-03-14T04:34:34.2257481Z the model corresponding to the last joined process to all processes to
2025-03-14T04:34:34.2257996Z ensure the model is the same across all processes
2025-03-14T04:34:34.2258390Z (which is guaranteed by DDP).
2025-03-14T04:34:34.2258590Z 
2025-03-14T04:34:34.2258815Z To use this to enable training with uneven inputs across processes,
2025-03-14T04:34:34.2259370Z simply wrap this context manager around your training loop. No further
2025-03-14T04:34:34.2259906Z modifications to the model or data loading is required.
2025-03-14T04:34:34.2260211Z 
2025-03-14T04:34:34.2260326Z .. warning::
2025-03-14T04:34:34.2260698Z     If the model or training loop this context manager is wrapped around
2025-03-14T04:34:34.2261236Z     has additional distributed collective operations, such as
2025-03-14T04:34:34.2261746Z     ``SyncBatchNorm`` in the model's forward pass, then the flag
2025-03-14T04:34:34.2262278Z     ``throw_on_early_termination`` must be enabled. This is because this
2025-03-14T04:34:34.2262839Z     context manager is not aware of non-DDP collective communication.
2025-03-14T04:34:34.2263362Z     This flag will cause all ranks to throw when any one rank
2025-03-14T04:34:34.2263881Z     exhausts inputs, allowing these errors to be caught and recovered
2025-03-14T04:34:34.2264335Z     from across all ranks.
2025-03-14T04:34:34.2264531Z 
2025-03-14T04:34:34.2264620Z Args:
2025-03-14T04:34:34.2264942Z     divide_by_initial_world_size (bool): If ``True``, will divide
2025-03-14T04:34:34.2265472Z         gradients by the initial ``world_size`` DDP training was launched
2025-03-14T04:34:34.2265988Z         with. If ``False``, will compute the effective world size
2025-03-14T04:34:34.2266537Z         (number of ranks that have not depleted their inputs yet) and
2025-03-14T04:34:34.2267231Z         divide gradients by that during allreduce. Set
2025-03-14T04:34:34.2267698Z         ``divide_by_initial_world_size=True`` to ensure every input
2025-03-14T04:34:34.2268232Z         sample including the uneven inputs have equal weight in terms of
2025-03-14T04:34:34.2268762Z         how much they contribute to the global gradient. This is
2025-03-14T04:34:34.2269252Z         achieved by always dividing the gradient by the initial
2025-03-14T04:34:34.2269751Z         ``world_size`` even when we encounter uneven inputs. If you set
2025-03-14T04:34:34.2270253Z         this to ``False``, we divide the gradient by the remaining
2025-03-14T04:34:34.2270762Z         number of nodes. This ensures parity with training on a smaller
2025-03-14T04:34:34.2271292Z         ``world_size`` although it also means the uneven inputs would
2025-03-14T04:34:34.2271876Z         contribute more towards the global gradient. Typically, you
2025-03-14T04:34:34.2272401Z         would want to set this to ``True`` for cases where the last few
2025-03-14T04:34:34.2272938Z         inputs of your training job are uneven. In extreme cases, where
2025-03-14T04:34:34.2273466Z         there is a large discrepancy in the number of inputs, setting
2025-03-14T04:34:34.2273976Z         this to ``False`` might provide better results.
2025-03-14T04:34:34.2274471Z     enable (bool): Whether to enable uneven input detection or not. Pass
2025-03-14T04:34:34.2275152Z         in ``enable=False`` to disable in cases where you know that
2025-03-14T04:34:34.2275716Z         inputs are even across participating processes. Default is
2025-03-14T04:34:34.2276137Z         ``True``.
2025-03-14T04:34:34.2276584Z     throw_on_early_termination (bool): Whether to throw an error
2025-03-14T04:34:34.2277090Z         or continue training when at least one rank has exhausted
2025-03-14T04:34:34.2277683Z         inputs. If ``True``, will throw upon the first rank reaching end
2025-03-14T04:34:34.2278187Z         of data. If ``False``, will continue training with a smaller
2025-03-14T04:34:34.2278707Z         effective world size until all ranks are joined. Note that if
2025-03-14T04:34:34.2279168Z         this flag is specified, then the flag
2025-03-14T04:34:34.2279606Z         ``divide_by_initial_world_size`` would be ignored. Default
2025-03-14T04:34:34.2280015Z         is ``False``.
2025-03-14T04:34:34.2280177Z 
2025-03-14T04:34:34.2280181Z 
2025-03-14T04:34:34.2280305Z Example::
2025-03-14T04:34:34.2280437Z 
2025-03-14T04:34:34.2280576Z     >>> # xdoctest: +SKIP("Distributed")
2025-03-14T04:34:34.2280919Z     >>> import torch
2025-03-14T04:34:34.2281219Z     >>> import torch.distributed as dist
2025-03-14T04:34:34.2281562Z     >>> import os
2025-03-14T04:34:34.2281860Z     >>> import torch.multiprocessing as mp
2025-03-14T04:34:34.2282210Z     >>> import torch.nn as nn
2025-03-14T04:34:34.2282531Z     >>> # On each spawned worker
2025-03-14T04:34:34.2282853Z     >>> def worker(rank):
2025-03-14T04:34:34.2283229Z     >>>     dist.init_process_group("nccl", rank=rank, world_size=2)
2025-03-14T04:34:34.2283659Z     >>>     torch.cuda.set_device(rank)
2025-03-14T04:34:34.2284042Z     >>>     model = nn.Linear(1, 1, bias=False).to(rank)
2025-03-14T04:34:34.2284495Z     >>>     model = torch.nn.parallel.DistributedDataParallel(
2025-03-14T04:34:34.2284957Z     >>>         model, device_ids=[rank], output_device=rank
2025-03-14T04:34:34.2285318Z     >>>     )
2025-03-14T04:34:34.2285596Z     >>>     # Rank 1 gets one more input than rank 0.
2025-03-14T04:34:34.2286050Z     >>>     inputs = [torch.tensor([1]).float() for _ in range(10 + rank)]
2025-03-14T04:34:34.2286484Z     >>>     with model.join():
2025-03-14T04:34:34.2286790Z     >>>         for _ in range(5):
2025-03-14T04:34:34.2287114Z     >>>             for inp in inputs:
2025-03-14T04:34:34.2287461Z     >>>                 loss = model(inp).sum()
2025-03-14T04:34:34.2287873Z     >>>                 loss.backward()
2025-03-14T04:34:34.2288300Z     >>>     # Without the join() API, the below synchronization will hang
2025-03-14T04:34:34.2288779Z     >>>     # blocking for rank 1's allreduce to complete.
2025-03-14T04:34:34.2289191Z     >>>     torch.cuda.synchronize(device=rank)
2025-03-14T04:34:34.2289439Z 
2025-03-14T04:34:34.2289722Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:34.2290106Z 
2025-03-14T04:34:34.2290887Z msg = Cannot scrape callname=DistributedDataParallel._register_fused_optim in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py line=2033.
2025-03-14T04:34:34.2292018Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:34.2292411Z 
2025-03-14T04:34:34.2292742Z Register an optimizer in DDP to optimize parameter immediately after its gradient reduction.
2025-03-14T04:34:34.2293182Z 
2025-03-14T04:34:34.2293453Z Registers an optimizer with DDP such that the optimization for a
2025-03-14T04:34:34.2294007Z parameter will run immediately when that parameter's gradient is
2025-03-14T04:34:34.2294558Z finished with reduction, instead of waiting for all parameters'
2025-03-14T04:34:34.2295123Z gradients to finish reduction. This can result in a training speedup
2025-03-14T04:34:34.2295705Z depending on your workload since the optimizer can run while gradient
2025-03-14T04:34:34.2296357Z reduction for other parameters are still ongoing. In addition, this has
2025-03-14T04:34:34.2296963Z the potential to reduce peak memory consumption during training, as it
2025-03-14T04:34:34.2297533Z only needs to load the per-parameter optimizer states of a single
2025-03-14T04:34:34.2298081Z parameter at a time, instead of loading all per-parameter optimizer
2025-03-14T04:34:34.2298531Z states at once.
2025-03-14T04:34:34.2298698Z 
2025-03-14T04:34:34.2298791Z Args:
2025-03-14T04:34:34.2299134Z     optim (Type): a ``torch.optim.Optimizer`` class to be registered
2025-03-14T04:34:34.2299614Z     as a fused optimizer.
2025-03-14T04:34:34.2299979Z     *args (Sequence[Any]): Arguments to forward to `optim`.
2025-03-14T04:34:34.2300500Z     optim_params (Optional[Iterable[torch.Tensor]]): Set of parameters
2025-03-14T04:34:34.2301155Z     to optimize, similar to `params` argument of traditional `torch.optim`
2025-03-14T04:34:34.2301786Z     Optimizers. If this is omitted, all DDP model parameters will be
2025-03-14T04:34:34.2302227Z     optimized.
2025-03-14T04:34:34.2302641Z     **kwargs: (Dict[str, Any]): Keyword arguments to forward to `optim`.
2025-03-14T04:34:34.2302978Z 
2025-03-14T04:34:34.2303079Z .. warning ::
2025-03-14T04:34:34.2303499Z     _register_fused_optim should only be called once on a DDP instance,
2025-03-14T04:34:34.2304123Z     and registering multiple fused optimizers for the same DDP model
2025-03-14T04:34:34.2304604Z     is not currently supported. Please ping
2025-03-14T04:34:34.2305161Z     https://github.com/pytorch/pytorch/issues/71595 if this is necessary
2025-03-14T04:34:34.2305684Z     for your use case.
2025-03-14T04:34:34.2305851Z 
2025-03-14T04:34:34.2305960Z .. warning ::
2025-03-14T04:34:34.2306358Z     _register_fused_optim and register_comm_hook currently do not
2025-03-14T04:34:34.2306909Z     compose together, meaning that custom DDP communication hooks are
2025-03-14T04:34:34.2307492Z     not supported with overlapped optimizers. Please ping
2025-03-14T04:34:34.2308082Z     https://github.com/pytorch/pytorch/issues/71595 if this is necessary
2025-03-14T04:34:34.2308557Z     for your use case.
2025-03-14T04:34:34.2308765Z 
2025-03-14T04:34:34.2308862Z .. warning ::
2025-03-14T04:34:34.2309248Z     Gradient accumulation and DDP `no_sync` are currently not supported
2025-03-14T04:34:34.2309794Z     with overlapped optimizer. Please ping
2025-03-14T04:34:34.2310334Z     https://github.com/pytorch/pytorch/issues/71595 if this is necessary
2025-03-14T04:34:34.2310806Z     for your use case.
2025-03-14T04:34:34.2311032Z 
2025-03-14T04:34:34.2311129Z Example::
2025-03-14T04:34:34.2311327Z 
2025-03-14T04:34:34.2311467Z     >>> # xdoctest: +SKIP("No rendezvous handler")
2025-03-14T04:34:34.2312093Z     >>> torch.distributed.init_process_group(backend='nccl', world_size=4, init_method='...')
2025-03-14T04:34:34.2312805Z     >>> net = torch.nn.parallel.DistributedDataParallel(model, pg)
2025-03-14T04:34:34.2313278Z     >>> lr = 1e-2
2025-03-14T04:34:34.2313544Z     >>> betas = (0.9, 0.99)
2025-03-14T04:34:34.2313837Z     >>> eps = 1e-6
2025-03-14T04:34:34.2314285Z     >>> net._register_fused_optim(torch.optim.Adam, lr, betas=betas, eps=eps)
2025-03-14T04:34:34.2314773Z     >>> # Example with subset of parameters
2025-03-14T04:34:34.2315308Z     >>> params_to_opt = [list(net.parameters())[0]]
2025-03-14T04:34:34.2315693Z     >>> net._register_fused_optim(
2025-03-14T04:34:34.2316155Z     ...   torch.optim.Adam, lr, optim_params=params_to_opt,  betas=betas, eps=eps
2025-03-14T04:34:34.2316673Z     ... )
2025-03-14T04:34:34.2316851Z 
2025-03-14T04:34:34.2317129Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:34.2317514Z 
2025-03-14T04:34:34.2527454Z msg = Cannot scrape callname=convert_conv2d_weight_memory_format in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/memory_format.py line=6.
2025-03-14T04:34:34.2528807Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:34.2529503Z Convert ``memory_format`` of ``nn.Conv2d.weight`` to ``memory_format``.
2025-03-14T04:34:34.2529854Z 
2025-03-14T04:34:34.2530203Z     The conversion recursively applies to nested ``nn.Module``, including ``module``.
2025-03-14T04:34:34.2530942Z     Note that it only changes the memory_format, but not the semantics of each dimensions.
2025-03-14T04:34:34.2531653Z     This function is used to facilitate the computation to adopt NHWC kernels, which
2025-03-14T04:34:34.2532423Z     provides considerable speed up for fp16 data on CUDA devices with compute capability >= 7.0
2025-03-14T04:34:34.2545764Z 
2025-03-14T04:34:34.2545918Z     .. note::
2025-03-14T04:34:34.2546342Z         Calling ``model.to(memory_format=torch.channels_last)`` is more aggressive
2025-03-14T04:34:34.2547026Z         than the utility function ``convert_conv2d_weight_memory_format``. Any
2025-03-14T04:34:34.2547679Z         layer with 4d weight will be affected by ``model.to``, which does not
2025-03-14T04:34:34.2548324Z         necessarily benefit from conversion to specified ``memory_format``.
2025-03-14T04:34:34.2548978Z         One place we are confident in is that NHWC(channels_last) conversion for
2025-03-14T04:34:34.2549626Z         convolution in cuDNN, as it is beneficial to run convolution in NHWC,
2025-03-14T04:34:34.2550197Z         even in cases where we have to apply permutation to input tensors.
2025-03-14T04:34:34.2550588Z 
2025-03-14T04:34:34.2550839Z         Hence our strategy here is to convert only the weight of convolution to
2025-03-14T04:34:34.2551396Z         channels_last. This ensures that;
2025-03-14T04:34:34.2551920Z         1. Fast convolution kernels will be used, the benefit of which could
2025-03-14T04:34:34.2552527Z         outweigh overhead of permutation (if input is not in the same format).
2025-03-14T04:34:34.2553192Z         2. No unnecessary permutations are applied on layers that do not benefit
2025-03-14T04:34:34.2553744Z         from memory_format conversion.
2025-03-14T04:34:34.2553972Z 
2025-03-14T04:34:34.2554277Z         The optimal case is that, layers between convolution layers are channels
2025-03-14T04:34:34.2554941Z         last compatible. Input tensor would be permuted to channels last when it
2025-03-14T04:34:34.2555671Z         encounters the first convolution layer and stay in that memory format.
2025-03-14T04:34:34.2556300Z         Hence following convolutions will not need to permute its input tensor.
2025-03-14T04:34:34.2556741Z 
2025-03-14T04:34:34.2556974Z         In case where a channels last incompatible layer is between convolution
2025-03-14T04:34:34.2557756Z         layers, we need to permute the input tensor back to contiguous format
2025-03-14T04:34:34.2558412Z         for that layer. The input tensor will go through the remaining layers in
2025-03-14T04:34:34.2559071Z         contiguous format and be permuted to channels last when it encounters
2025-03-14T04:34:34.2559710Z         another convolution layer. There's no point in propagating that
2025-03-14T04:34:34.2560346Z         permutation to an earlier layer, as most layers are quite agnostic to
2025-03-14T04:34:34.2560811Z         ``memory_format``.
2025-03-14T04:34:34.2561050Z 
2025-03-14T04:34:34.2561294Z         This claim might change when PyTorch supports fusion of permutation, as
2025-03-14T04:34:34.2561952Z         there might have been a better spot to fuse the permutation other than
2025-03-14T04:34:34.2562439Z         immediately before a convolution.
2025-03-14T04:34:34.2562737Z 
2025-03-14T04:34:34.2562832Z     Args:
2025-03-14T04:34:34.2563351Z         module (nn.Module): ``nn.Conv2d`` & ``nn.ConvTranspose2d`` or container
2025-03-14T04:34:34.2563823Z                             ``nn.Module``
2025-03-14T04:34:34.2564237Z         memory_format: user specified ``memory_format``,
2025-03-14T04:34:34.2564727Z             e.g. ``torch.channels_last`` or ``torch.contiguous_format``
2025-03-14T04:34:34.2565035Z 
2025-03-14T04:34:34.2565143Z     Returns:
2025-03-14T04:34:34.2565481Z         The original module with updated ``nn.Conv2d``
2025-03-14T04:34:34.2565797Z 
2025-03-14T04:34:34.2565906Z     Example:
2025-03-14T04:34:34.2566197Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-03-14T04:34:34.2566629Z         >>> # xdoctest: +REQUIRES(env:CUBLAS_WORKSPACE_CONFIG)
2025-03-14T04:34:34.2567329Z         >>> input = torch.randint(1, 10, (2, 8, 4, 4), dtype=torch.float16, device="cuda")
2025-03-14T04:34:34.2567867Z         >>> model = nn.Sequential(
2025-03-14T04:34:34.2568210Z         >>>     nn.Conv2d(8, 4, 3)).cuda().half()
2025-03-14T04:34:34.2568640Z         >>> # This is identical to:
2025-03-14T04:34:34.2569121Z         >>> # nn.utils.convert_conv2d_weight_memory_format(model, torch.channels_last)
2025-03-14T04:34:34.2569785Z         >>> model = nn.utils.convert_conv2d_weight_memory_format(model, torch.channels_last)
2025-03-14T04:34:34.2570285Z         >>> out = model(input)
2025-03-14T04:34:34.2570579Z     
2025-03-14T04:34:34.2570973Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:34.2571367Z 
2025-03-14T04:34:34.2572136Z msg = Cannot scrape callname=convert_conv3d_weight_memory_format in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/memory_format.py line=81.
2025-03-14T04:34:34.2573192Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:34.2573820Z Convert ``memory_format`` of ``nn.Conv3d.weight`` to ``memory_format``
2025-03-14T04:34:34.2574446Z     The conversion recursively applies to nested ``nn.Module``, including ``module``.
2025-03-14T04:34:34.2575154Z     Note that it only changes the memory_format, but not the semantics of each dimensions.
2025-03-14T04:34:34.2575837Z     This function is used to facilitate the computation to adopt NHWC kernels, which
2025-03-14T04:34:34.2576556Z     provides considerable speed up for fp16 data on CUDA devices with compute capability >= 7.0
2025-03-14T04:34:34.2577007Z 
2025-03-14T04:34:34.2577114Z     .. note::
2025-03-14T04:34:34.2577524Z         Calling ``model.to(memory_format=torch.channels_last_3d)`` is more aggressive
2025-03-14T04:34:34.2578144Z         than the utility function ``convert_conv3d_weight_memory_format``. Any
2025-03-14T04:34:34.2578781Z         layer with 4d weight will be affected by ``model.to``, which does not
2025-03-14T04:34:34.2579364Z         necessarily benefit from conversion to specified ``memory_format``.
2025-03-14T04:34:34.2579973Z         One place we are confident in is that NDHWC(channels_last_3d) conversion for
2025-03-14T04:34:34.2580643Z         convolution in cuDNN, as it is beneficial to run convolution in NDHWC,
2025-03-14T04:34:34.2581216Z         even in cases where we have to apply permutation to input tensors.
2025-03-14T04:34:34.2581563Z 
2025-03-14T04:34:34.2581801Z         Hence our strategy here is to convert only the weight of convolution to
2025-03-14T04:34:34.2582297Z         channels_last_3d. This ensures that;
2025-03-14T04:34:34.2582774Z         1. Fast convolution kernels will be used, the benefit of which could
2025-03-14T04:34:34.2583374Z         outweigh overhead of permutation (if input is not in the same format).
2025-03-14T04:34:34.2583988Z         2. No unnecessary permutations are applied on layers that do not benefit
2025-03-14T04:34:34.2584480Z         from memory_format conversion.
2025-03-14T04:34:34.2584716Z 
2025-03-14T04:34:34.2584955Z         The optimal case is that, layers between convolution layers are channels
2025-03-14T04:34:34.2585562Z         last compatible. Input tensor would be permuted to channels last when it
2025-03-14T04:34:34.2586227Z         encounters the first convolution layer and stay in that memory format.
2025-03-14T04:34:34.2586840Z         Hence following convolutions will not need to permute its input tensor.
2025-03-14T04:34:34.2587207Z 
2025-03-14T04:34:34.2587454Z         In case where a channels last incompatible layer is between convolution
2025-03-14T04:34:34.2588082Z         layers, we need to permute the input tensor back to contiguous format
2025-03-14T04:34:34.2588665Z         for that layer. The input tensor will go through the remaining layers in
2025-03-14T04:34:34.2589259Z         contiguous format and be permuted to channels last when it encounters
2025-03-14T04:34:34.2589841Z         another convolution layer. There's no point in propagating that
2025-03-14T04:34:34.2590418Z         permutation to an earlier layer, as most layers are quite agnostic to
2025-03-14T04:34:34.2590881Z         ``memory_format``.
2025-03-14T04:34:34.2591061Z 
2025-03-14T04:34:34.2591361Z         This claim might change when PyTorch supports fusion of permutation, as
2025-03-14T04:34:34.2592023Z         there might have been a better spot to fuse the permutation other than
2025-03-14T04:34:34.2592509Z         immediately before a convolution.
2025-03-14T04:34:34.2592744Z 
2025-03-14T04:34:34.2592853Z     Args:
2025-03-14T04:34:34.2593212Z         module (nn.Module): ``nn.Conv3d`` & ``nn.ConvTranspose3d`` or container
2025-03-14T04:34:34.2593681Z                             ``nn.Module``
2025-03-14T04:34:34.2594056Z         memory_format: user specified ``memory_format``,
2025-03-14T04:34:34.2594525Z             e.g. ``torch.channels_last`` or ``torch.contiguous_format``
2025-03-14T04:34:34.2594847Z 
2025-03-14T04:34:34.2594943Z     Returns:
2025-03-14T04:34:34.2595322Z         The original module with updated ``nn.Conv3d``
2025-03-14T04:34:34.2595604Z 
2025-03-14T04:34:34.2595700Z     Example:
2025-03-14T04:34:34.2595996Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-03-14T04:34:34.2596436Z         >>> # xdoctest: +REQUIRES(env:CUBLAS_WORKSPACE_CONFIG)
2025-03-14T04:34:34.2596965Z         >>> input = torch.randint(1, 10, (2, 8, 4, 4, 4), dtype=torch.float16, device="cuda")
2025-03-14T04:34:34.2597446Z         >>> model = nn.Sequential(
2025-03-14T04:34:34.2597787Z         >>>     nn.Conv3d(8, 4, 3)).cuda().half()
2025-03-14T04:34:34.2598145Z         >>> # This is identical to:
2025-03-14T04:34:34.2598628Z         >>> # nn.utils.convert_conv3d_weight_memory_format(model, torch.channels_last_3d)
2025-03-14T04:34:34.2599306Z         >>> model = nn.utils.convert_conv3d_weight_memory_format(model, torch.channels_last_3d)
2025-03-14T04:34:34.2599830Z         >>> out = model(input)
2025-03-14T04:34:34.2600123Z     
2025-03-14T04:34:34.2600519Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:34.2600900Z 
2025-03-14T04:34:34.2744919Z msg = Cannot scrape callname=random_structured in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py line=935.
2025-03-14T04:34:34.2746120Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:34.2746782Z Prune tensor by removing random channels along the specified dimension.
2025-03-14T04:34:34.2747187Z 
2025-03-14T04:34:34.2747471Z     Prunes tensor corresponding to parameter called ``name`` in ``module``
2025-03-14T04:34:34.2748219Z     by removing the specified ``amount`` of (currently unpruned) channels
2025-03-14T04:34:34.2748993Z     along the specified ``dim`` selected at random.
2025-03-14T04:34:34.2749831Z     Modifies module in place (and also return the modified module)
2025-03-14T04:34:34.2750259Z     by:
2025-03-14T04:34:34.2750384Z 
2025-03-14T04:34:34.2750618Z     1) adding a named buffer called ``name+'_mask'`` corresponding to the
2025-03-14T04:34:34.2751194Z        binary mask applied to the parameter ``name`` by the pruning method.
2025-03-14T04:34:34.2751771Z     2) replacing the parameter ``name`` by its pruned version, while the
2025-03-14T04:34:34.2752432Z        original (unpruned) parameter is stored in a new parameter named
2025-03-14T04:34:34.2752884Z        ``name+'_orig'``.
2025-03-14T04:34:34.2753059Z 
2025-03-14T04:34:34.2753167Z     Args:
2025-03-14T04:34:34.2753493Z         module (nn.Module): module containing the tensor to prune
2025-03-14T04:34:34.2754008Z         name (str): parameter name within ``module`` on which pruning
2025-03-14T04:34:34.2754710Z                 will act.
2025-03-14T04:34:34.2755298Z         amount (int or float): quantity of parameters to prune.
2025-03-14T04:34:34.2755841Z             If ``float``, should be between 0.0 and 1.0 and represent the
2025-03-14T04:34:34.2756432Z             fraction of parameters to prune. If ``int``, it represents the
2025-03-14T04:34:34.2756964Z             absolute number of parameters to prune.
2025-03-14T04:34:34.2757435Z         dim (int): index of the dim along which we define channels to prune.
2025-03-14T04:34:34.2757835Z 
2025-03-14T04:34:34.2758013Z     Returns:
2025-03-14T04:34:34.2758448Z         module (nn.Module): modified (i.e. pruned) version of the input module
2025-03-14T04:34:34.2758858Z 
2025-03-14T04:34:34.2759004Z     Examples:
2025-03-14T04:34:34.2759381Z         >>> # xdoctest: +SKIP
2025-03-14T04:34:34.2759816Z         >>> m = prune.random_structured(
2025-03-14T04:34:34.2760272Z         ...     nn.Linear(5, 3), 'weight', amount=3, dim=1
2025-03-14T04:34:34.2760636Z         ... )
2025-03-14T04:34:34.2761030Z         >>> columns_pruned = int(sum(torch.sum(m.weight, dim=0) == 0))
2025-03-14T04:34:34.2761480Z         >>> print(columns_pruned)
2025-03-14T04:34:34.2761819Z         3
2025-03-14T04:34:34.2762044Z     
2025-03-14T04:34:34.2762496Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:34.2762876Z 
2025-03-14T04:34:34.2763511Z msg = Cannot scrape callname=ln_structured in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py line=976.
2025-03-14T04:34:34.2764507Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:34.2765295Z Prune tensor by removing channels with the lowest L\ ``n``-norm along the specified dimension.
2025-03-14T04:34:34.2765776Z 
2025-03-14T04:34:34.2766036Z     Prunes tensor corresponding to parameter called ``name`` in ``module``
2025-03-14T04:34:34.2766676Z     by removing the specified ``amount`` of (currently unpruned) channels
2025-03-14T04:34:34.2767455Z     along the specified ``dim`` with the lowest L\ ``n``-norm.
2025-03-14T04:34:34.2768042Z     Modifies module in place (and also return the modified module)
2025-03-14T04:34:34.2768520Z     by:
2025-03-14T04:34:34.2768658Z 
2025-03-14T04:34:34.2768878Z     1) adding a named buffer called ``name+'_mask'`` corresponding to the
2025-03-14T04:34:34.2769512Z        binary mask applied to the parameter ``name`` by the pruning method.
2025-03-14T04:34:34.2770139Z     2) replacing the parameter ``name`` by its pruned version, while the
2025-03-14T04:34:34.2770856Z        original (unpruned) parameter is stored in a new parameter named
2025-03-14T04:34:34.2771312Z        ``name+'_orig'``.
2025-03-14T04:34:34.2771542Z 
2025-03-14T04:34:34.2771650Z     Args:
2025-03-14T04:34:34.2771979Z         module (nn.Module): module containing the tensor to prune
2025-03-14T04:34:34.2772543Z         name (str): parameter name within ``module`` on which pruning
2025-03-14T04:34:34.2773017Z                 will act.
2025-03-14T04:34:34.2773381Z         amount (int or float): quantity of parameters to prune.
2025-03-14T04:34:34.2773921Z             If ``float``, should be between 0.0 and 1.0 and represent the
2025-03-14T04:34:34.2774472Z             fraction of parameters to prune. If ``int``, it represents the
2025-03-14T04:34:34.2774967Z             absolute number of parameters to prune.
2025-03-14T04:34:34.2775482Z         n (int, float, inf, -inf, 'fro', 'nuc'): See documentation of valid
2025-03-14T04:34:34.2775997Z             entries for argument ``p`` in :func:`torch.norm`.
2025-03-14T04:34:34.2776571Z         dim (int): index of the dim along which we define channels to prune.
2025-03-14T04:34:34.2777210Z         importance_scores (torch.Tensor): tensor of importance scores (of same
2025-03-14T04:34:34.2777843Z             shape as module parameter) used to compute mask for pruning.
2025-03-14T04:34:34.2778453Z             The values in this tensor indicate the importance of the corresponding
2025-03-14T04:34:34.2779042Z             elements in the parameter being pruned.
2025-03-14T04:34:34.2779561Z             If unspecified or None, the module parameter will be used in its place.
2025-03-14T04:34:34.2779988Z 
2025-03-14T04:34:34.2780104Z     Returns:
2025-03-14T04:34:34.2780486Z         module (nn.Module): modified (i.e. pruned) version of the input module
2025-03-14T04:34:34.2780890Z 
2025-03-14T04:34:34.2781003Z     Examples:
2025-03-14T04:34:34.2781270Z         >>> from torch.nn.utils import prune
2025-03-14T04:34:34.2781683Z         >>> m = prune.ln_structured(
2025-03-14T04:34:34.2782159Z         ...     nn.Conv2d(5, 3, 2), 'weight', amount=0.3, dim=1, n=float('-inf')
2025-03-14T04:34:34.2782568Z         ... )
2025-03-14T04:34:34.2782807Z     
2025-03-14T04:34:34.2783255Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:34.2783646Z 
2025-03-14T04:34:34.2784212Z msg = Cannot scrape callname=global_unstructured in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py line=1023.
2025-03-14T04:34:34.2785219Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:34.2785629Z 
2025-03-14T04:34:34.2786073Z Globally prunes tensors corresponding to all parameters in ``parameters`` by applying the specified ``pruning_method``.
2025-03-14T04:34:34.2786648Z 
2025-03-14T04:34:34.2786771Z Modifies modules in place by:
2025-03-14T04:34:34.2786988Z 
2025-03-14T04:34:34.2787206Z 1) adding a named buffer called ``name+'_mask'`` corresponding to the
2025-03-14T04:34:34.2787784Z    binary mask applied to the parameter ``name`` by the pruning method.
2025-03-14T04:34:34.2788359Z 2) replacing the parameter ``name`` by its pruned version, while the
2025-03-14T04:34:34.2788972Z    original (unpruned) parameter is stored in a new parameter named
2025-03-14T04:34:34.2789413Z    ``name+'_orig'``.
2025-03-14T04:34:34.2789591Z 
2025-03-14T04:34:34.2789681Z Args:
2025-03-14T04:34:34.2790030Z     parameters (Iterable of (module, name) tuples): parameters of
2025-03-14T04:34:34.2790563Z         the model to prune in a global fashion, i.e. by aggregating all
2025-03-14T04:34:34.2791111Z         weights prior to deciding which ones to prune. module must be of
2025-03-14T04:34:34.2791613Z         type :class:`nn.Module`, and name must be a string.
2025-03-14T04:34:34.2792125Z     pruning_method (function): a valid pruning function from this module,
2025-03-14T04:34:34.2792669Z         or a custom one implemented by the user that satisfies the
2025-03-14T04:34:34.2793258Z         implementation guidelines and has ``PRUNING_TYPE='unstructured'``.
2025-03-14T04:34:34.2793871Z     importance_scores (dict): a dictionary mapping (module, name) tuples to
2025-03-14T04:34:34.2794473Z         the corresponding parameter's importance scores tensor. The tensor
2025-03-14T04:34:34.2795057Z         should be the same shape as the parameter, and is used for computing
2025-03-14T04:34:34.2795606Z         mask for pruning.
2025-03-14T04:34:34.2796071Z         If unspecified or None, the parameter will be used in place of its
2025-03-14T04:34:34.2796511Z         importance scores.
2025-03-14T04:34:34.2796835Z     kwargs: other keyword arguments such as:
2025-03-14T04:34:34.2797296Z         amount (int or float): quantity of parameters to prune across the
2025-03-14T04:34:34.2797745Z         specified parameters.
2025-03-14T04:34:34.2798132Z         If ``float``, should be between 0.0 and 1.0 and represent the
2025-03-14T04:34:34.2798654Z         fraction of parameters to prune. If ``int``, it represents the
2025-03-14T04:34:34.2799172Z         absolute number of parameters to prune.
2025-03-14T04:34:34.2799435Z 
2025-03-14T04:34:34.2799529Z Raises:
2025-03-14T04:34:34.2799832Z     TypeError: if ``PRUNING_TYPE != 'unstructured'``
2025-03-14T04:34:34.2800116Z 
2025-03-14T04:34:34.2800207Z Note:
2025-03-14T04:34:34.2800566Z     Since global structured pruning doesn't make much sense unless the
2025-03-14T04:34:34.2801156Z     norm is normalized by the size of the parameter, we now limit the
2025-03-14T04:34:34.2801656Z     scope of global pruning to unstructured methods.
2025-03-14T04:34:34.2801925Z 
2025-03-14T04:34:34.2802034Z Examples:
2025-03-14T04:34:34.2802297Z     >>> from torch.nn.utils import prune
2025-03-14T04:34:34.2802666Z     >>> from collections import OrderedDict
2025-03-14T04:34:34.2803035Z     >>> net = nn.Sequential(OrderedDict([
2025-03-14T04:34:34.2803393Z     ...     ('first', nn.Linear(10, 4)),
2025-03-14T04:34:34.2803738Z     ...     ('second', nn.Linear(4, 1)),
2025-03-14T04:34:34.2804099Z     ... ]))
2025-03-14T04:34:34.2804342Z     >>> parameters_to_prune = (
2025-03-14T04:34:34.2804670Z     ...     (net.first, 'weight'),
2025-03-14T04:34:34.2804997Z     ...     (net.second, 'weight'),
2025-03-14T04:34:34.2805311Z     ... )
2025-03-14T04:34:34.2805569Z     >>> prune.global_unstructured(
2025-03-14T04:34:34.2805910Z     ...     parameters_to_prune,
2025-03-14T04:34:34.2806261Z     ...     pruning_method=prune.L1Unstructured,
2025-03-14T04:34:34.2806620Z     ...     amount=10,
2025-03-14T04:34:34.2806883Z     ... )
2025-03-14T04:34:34.2807242Z     >>> print(sum(torch.nn.utils.parameters_to_vector(net.buffers()) == 0))
2025-03-14T04:34:34.2807694Z     tensor(10)
2025-03-14T04:34:34.2807835Z 
2025-03-14T04:34:34.2807839Z 
2025-03-14T04:34:34.2808114Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:34.2808494Z 
2025-03-14T04:34:34.2809041Z msg = Cannot scrape callname=custom_from_mask in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py line=1142.
2025-03-14T04:34:34.2810042Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:34.2810845Z Prune tensor corresponding to parameter called ``name`` in ``module`` by applying the pre-computed mask in ``mask``.
2025-03-14T04:34:34.2811363Z 
2025-03-14T04:34:34.2811599Z     Modifies module in place (and also return the modified module) by:
2025-03-14T04:34:34.2811938Z 
2025-03-14T04:34:34.2812174Z     1) adding a named buffer called ``name+'_mask'`` corresponding to the
2025-03-14T04:34:34.2812747Z        binary mask applied to the parameter ``name`` by the pruning method.
2025-03-14T04:34:34.2813317Z     2) replacing the parameter ``name`` by its pruned version, while the
2025-03-14T04:34:34.2813884Z        original (unpruned) parameter is stored in a new parameter named
2025-03-14T04:34:34.2814331Z        ``name+'_orig'``.
2025-03-14T04:34:34.2814503Z 
2025-03-14T04:34:34.2814606Z     Args:
2025-03-14T04:34:34.2814930Z         module (nn.Module): module containing the tensor to prune
2025-03-14T04:34:34.2815500Z         name (str): parameter name within ``module`` on which pruning
2025-03-14T04:34:34.2815919Z             will act.
2025-03-14T04:34:34.2816272Z         mask (Tensor): binary mask to be applied to the parameter.
2025-03-14T04:34:34.2816574Z 
2025-03-14T04:34:34.2816684Z     Returns:
2025-03-14T04:34:34.2817047Z         module (nn.Module): modified (i.e. pruned) version of the input module
2025-03-14T04:34:34.2817411Z 
2025-03-14T04:34:34.2817507Z     Examples:
2025-03-14T04:34:34.2817785Z         >>> from torch.nn.utils import prune
2025-03-14T04:34:34.2818150Z         >>> m = prune.custom_from_mask(
2025-03-14T04:34:34.2818561Z         ...     nn.Linear(5, 3), name='bias', mask=torch.tensor([0, 1, 0])
2025-03-14T04:34:34.2818962Z         ... )
2025-03-14T04:34:34.2819214Z         >>> print(m.bias_mask)
2025-03-14T04:34:34.2819520Z         tensor([0., 1., 0.])
2025-03-14T04:34:34.2819718Z 
2025-03-14T04:34:34.2819840Z     
2025-03-14T04:34:34.2820237Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:34.2820631Z 
2025-03-14T04:34:34.3808583Z msg = Cannot scrape callname=AveragedModel in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/swa_utils.py line=117.
2025-03-14T04:34:34.3809913Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:34.3810880Z Implements averaged model for Stochastic Weight Averaging (SWA) and Exponential Moving Average (EMA).
2025-03-14T04:34:34.3811434Z 
2025-03-14T04:34:34.3811692Z     Stochastic Weight Averaging was proposed in `Averaging Weights Leads to
2025-03-14T04:34:34.3812318Z     Wider Optima and Better Generalization`_ by Pavel Izmailov, Dmitrii
2025-03-14T04:34:34.3812904Z     Podoprikhin, Timur Garipov, Dmitry Vetrov and Andrew Gordon Wilson
2025-03-14T04:34:34.3813356Z     (UAI 2018).
2025-03-14T04:34:34.3813513Z 
2025-03-14T04:34:34.3813742Z     Exponential Moving Average is a variation of `Polyak averaging`_,
2025-03-14T04:34:34.3814443Z     but using exponential weights instead of equal weights across iterations.
2025-03-14T04:34:34.3814827Z 
2025-03-14T04:34:34.3815078Z     AveragedModel class creates a copy of the provided module :attr:`model`
2025-03-14T04:34:34.3815687Z     on the device :attr:`device` and allows to compute running averages of the
2025-03-14T04:34:34.3816172Z     parameters of the :attr:`model`.
2025-03-14T04:34:34.3816397Z 
2025-03-14T04:34:34.3816504Z     Args:
2025-03-14T04:34:34.3816892Z         model (torch.nn.Module): model to use with SWA/EMA
2025-03-14T04:34:34.3817621Z         device (torch.device, optional): if provided, the averaged model will be
2025-03-14T04:34:34.3818516Z             stored on the :attr:`device`
2025-03-14T04:34:34.3819016Z         avg_fn (function, optional): the averaging function used to update
2025-03-14T04:34:34.3819574Z             parameters; the function must take in the current value of the
2025-03-14T04:34:34.3820157Z             :class:`AveragedModel` parameter, the current value of :attr:`model`
2025-03-14T04:34:34.3820723Z             parameter, and the number of models already averaged; if None,
2025-03-14T04:34:34.3821228Z             an equally weighted average is used (default: None)
2025-03-14T04:34:34.3821763Z         multi_avg_fn (function, optional): the averaging function used to update
2025-03-14T04:34:34.3822382Z             parameters inplace; the function must take in the current values of the
2025-03-14T04:34:34.3823041Z             :class:`AveragedModel` parameters as a list, the current values of :attr:`model`
2025-03-14T04:34:34.3823685Z             parameters as a list, and the number of models already averaged; if None,
2025-03-14T04:34:34.3824212Z             an equally weighted average is used (default: None)
2025-03-14T04:34:34.3824719Z         use_buffers (bool): if ``True``, it will compute running averages for
2025-03-14T04:34:34.3825299Z             both the parameters and the buffers of the model. (default: ``False``)
2025-03-14T04:34:34.3825668Z 
2025-03-14T04:34:34.3825865Z     Example:
2025-03-14T04:34:34.3826159Z         >>> # xdoctest: +SKIP("undefined variables")
2025-03-14T04:34:34.3826557Z         >>> loader, optimizer, model, loss_fn = ...
2025-03-14T04:34:34.3826999Z         >>> swa_model = torch.optim.swa_utils.AveragedModel(model)
2025-03-14T04:34:34.3827546Z         >>> scheduler = torch.optim.lr_scheduler.CosineAnnealingLR(optimizer,
2025-03-14T04:34:34.3828030Z         >>>                                     T_max=300)
2025-03-14T04:34:34.3828379Z         >>> swa_start = 160
2025-03-14T04:34:34.3828728Z         >>> swa_scheduler = SWALR(optimizer, swa_lr=0.05)
2025-03-14T04:34:34.3829110Z         >>> for i in range(300):
2025-03-14T04:34:34.3829441Z         >>>      for input, target in loader:
2025-03-14T04:34:34.3829804Z         >>>          optimizer.zero_grad()
2025-03-14T04:34:34.3830184Z         >>>          loss_fn(model(input), target).backward()
2025-03-14T04:34:34.3830635Z         >>>          optimizer.step()
2025-03-14T04:34:34.3830969Z         >>>      if i > swa_start:
2025-03-14T04:34:34.3831319Z         >>>          swa_model.update_parameters(model)
2025-03-14T04:34:34.3831703Z         >>>          swa_scheduler.step()
2025-03-14T04:34:34.3832039Z         >>>      else:
2025-03-14T04:34:34.3832323Z         >>>          scheduler.step()
2025-03-14T04:34:34.3832629Z         >>>
2025-03-14T04:34:34.3832978Z         >>> # Update bn statistics for the swa_model at the end
2025-03-14T04:34:34.3833445Z         >>> torch.optim.swa_utils.update_bn(loader, swa_model)
2025-03-14T04:34:34.3833742Z 
2025-03-14T04:34:34.3834055Z     You can also use custom averaging functions with the `avg_fn` or `multi_avg_fn` parameters.
2025-03-14T04:34:34.3834697Z     If no averaging function is provided, the default is to compute
2025-03-14T04:34:34.3835276Z     equally-weighted average of the weights (SWA).
2025-03-14T04:34:34.3835558Z 
2025-03-14T04:34:34.3835654Z     Example:
2025-03-14T04:34:34.3836001Z         >>> # xdoctest: +SKIP("undefined variables")
2025-03-14T04:34:34.3836481Z         >>> # Compute exponential moving averages of the weights and buffers
2025-03-14T04:34:34.3837009Z         >>> ema_model = torch.optim.swa_utils.AveragedModel(model,
2025-03-14T04:34:34.3837539Z         >>>             torch.optim.swa_utils.get_ema_multi_avg_fn(0.9), use_buffers=True)
2025-03-14T04:34:34.3837903Z 
2025-03-14T04:34:34.3838027Z     .. note::
2025-03-14T04:34:34.3838411Z         When using SWA/EMA with models containing Batch Normalization you may
2025-03-14T04:34:34.3838990Z         need to update the activation statistics for Batch Normalization.
2025-03-14T04:34:34.3839579Z         This can be done either by using the :meth:`torch.optim.swa_utils.update_bn`
2025-03-14T04:34:34.3840194Z         or by setting :attr:`use_buffers` to `True`. The first approach updates the
2025-03-14T04:34:34.3840809Z         statistics in a post-training step by passing data through the model. The
2025-03-14T04:34:34.3841444Z         second does it during the parameter update phase by averaging all buffers.
2025-03-14T04:34:34.3842079Z         Empirical evidence has shown that updating the statistics in normalization
2025-03-14T04:34:34.3842700Z         layers increases accuracy, but you may wish to empirically test which
2025-03-14T04:34:34.3843233Z         approach yields the best results in your problem.
2025-03-14T04:34:34.3843508Z 
2025-03-14T04:34:34.3843643Z     .. note::
2025-03-14T04:34:34.3844055Z         :attr:`avg_fn` and `multi_avg_fn` are not saved in the :meth:`state_dict` of the model.
2025-03-14T04:34:34.3844442Z 
2025-03-14T04:34:34.3844554Z     .. note::
2025-03-14T04:34:34.3844913Z         When :meth:`update_parameters` is called for the first time (i.e.
2025-03-14T04:34:34.3845449Z         :attr:`n_averaged` is `0`) the parameters of `model` are copied
2025-03-14T04:34:34.3845990Z         to the parameters of :class:`AveragedModel`. For every subsequent
2025-03-14T04:34:34.3846534Z         call of :meth:`update_parameters` the function `avg_fn` is used
2025-03-14T04:34:34.3847020Z         to update the parameters.
2025-03-14T04:34:34.3847230Z 
2025-03-14T04:34:34.3847477Z     .. _Averaging Weights Leads to Wider Optima and Better Generalization:
2025-03-14T04:34:34.3847983Z         https://arxiv.org/abs/1803.05407
2025-03-14T04:34:34.3848478Z     .. _There Are Many Consistent Explanations of Unlabeled Data: Why You Should
2025-03-14T04:34:34.3848960Z         Average:
2025-03-14T04:34:34.3849233Z         https://arxiv.org/abs/1806.05594
2025-03-14T04:34:34.3849693Z     .. _SWALP: Stochastic Weight Averaging in Low-Precision Training:
2025-03-14T04:34:34.3850154Z         https://arxiv.org/abs/1904.11943
2025-03-14T04:34:34.3850635Z     .. _Stochastic Weight Averaging in Parallel: Large-Batch Training That
2025-03-14T04:34:34.3851110Z         Generalizes Well:
2025-03-14T04:34:34.3851425Z         https://arxiv.org/abs/2001.02312
2025-03-14T04:34:34.3851778Z     .. _Polyak averaging:
2025-03-14T04:34:34.3852223Z         https://paperswithcode.com/method/polyak-averaging
2025-03-14T04:34:34.3852614Z     
2025-03-14T04:34:34.3853006Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:34.3853384Z 
2025-03-14T04:34:34.3853924Z msg = Cannot scrape callname=SWALR in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/swa_utils.py line=369.
2025-03-14T04:34:34.3854858Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:34.3855482Z Anneals the learning rate in each parameter group to a fixed value.
2025-03-14T04:34:34.3855830Z 
2025-03-14T04:34:34.3856073Z     This learning rate scheduler is meant to be used with Stochastic Weight
2025-03-14T04:34:34.3856668Z     Averaging (SWA) method (see `torch.optim.swa_utils.AveragedModel`).
2025-03-14T04:34:34.3857026Z 
2025-03-14T04:34:34.3857119Z     Args:
2025-03-14T04:34:34.3857440Z         optimizer (torch.optim.Optimizer): wrapped optimizer
2025-03-14T04:34:34.3858000Z         swa_lrs (float or list): the learning rate value for all param groups
2025-03-14T04:34:34.3858482Z             together or separately for each group.
2025-03-14T04:34:34.3858956Z         annealing_epochs (int): number of epochs in the annealing phase
2025-03-14T04:34:34.3859401Z             (default: 10)
2025-03-14T04:34:34.3859817Z         annealing_strategy (str): "cos" or "linear"; specifies the annealing
2025-03-14T04:34:34.3860401Z             strategy: "cos" for cosine annealing, "linear" for linear annealing
2025-03-14T04:34:34.3860852Z             (default: "cos")
2025-03-14T04:34:34.3861239Z         last_epoch (int): the index of the last epoch (default: -1)
2025-03-14T04:34:34.3861542Z 
2025-03-14T04:34:34.3861746Z     The :class:`SWALR` scheduler can be used together with other
2025-03-14T04:34:34.3862287Z     schedulers to switch to a constant learning rate late in the training
2025-03-14T04:34:34.3862752Z     as in the example below.
2025-03-14T04:34:34.3862944Z 
2025-03-14T04:34:34.3863055Z     Example:
2025-03-14T04:34:34.3863329Z         >>> # xdoctest: +SKIP("Undefined variables")
2025-03-14T04:34:34.3863714Z         >>> loader, optimizer, model = ...
2025-03-14T04:34:34.3864076Z         >>> lr_lambda = lambda epoch: 0.9
2025-03-14T04:34:34.3864542Z         >>> scheduler = torch.optim.lr_scheduler.MultiplicativeLR(optimizer,
2025-03-14T04:34:34.3865016Z         >>>        lr_lambda=lr_lambda)
2025-03-14T04:34:34.3865424Z         >>> swa_scheduler = torch.optim.swa_utils.SWALR(optimizer,
2025-03-14T04:34:34.3865917Z         >>>        anneal_strategy="linear", anneal_epochs=20, swa_lr=0.05)
2025-03-14T04:34:34.3866347Z         >>> swa_start = 160
2025-03-14T04:34:34.3866647Z         >>> for i in range(300):
2025-03-14T04:34:34.3867201Z         >>>      for input, target in loader:
2025-03-14T04:34:34.3867581Z         >>>          optimizer.zero_grad()
2025-03-14T04:34:34.3867961Z         >>>          loss_fn(model(input), target).backward()
2025-03-14T04:34:34.3868349Z         >>>          optimizer.step()
2025-03-14T04:34:34.3868781Z         >>>      if i > swa_start:
2025-03-14T04:34:34.3869115Z         >>>          swa_scheduler.step()
2025-03-14T04:34:34.3869446Z         >>>      else:
2025-03-14T04:34:34.3869726Z         >>>          scheduler.step()
2025-03-14T04:34:34.3869938Z 
2025-03-14T04:34:34.3870187Z     .. _Averaging Weights Leads to Wider Optima and Better Generalization:
2025-03-14T04:34:34.3870682Z         https://arxiv.org/abs/1803.05407
2025-03-14T04:34:34.3871000Z     
2025-03-14T04:34:34.3871390Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:34.3871782Z 
2025-03-14T04:34:34.8547981Z msg = Cannot scrape callname=assert_close in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_comparison.py line=1263.
2025-03-14T04:34:34.8549327Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:34.8549886Z Asserts that ``actual`` and ``expected`` are close.
2025-03-14T04:34:34.8550307Z 
2025-03-14T04:34:34.8550712Z     If ``actual`` and ``expected`` are strided, non-quantized, real-valued, and finite, they are considered close if
2025-03-14T04:34:34.8551207Z 
2025-03-14T04:34:34.8551338Z     .. math::
2025-03-14T04:34:34.8551476Z 
2025-03-14T04:34:34.8551872Z         \lvert \text{actual} - \text{expected} \rvert \le \texttt{atol} + \texttt{rtol} \cdot \lvert \text{expected} \rvert
2025-03-14T04:34:34.8552445Z 
2025-03-14T04:34:34.8552885Z     Non-finite values (``-inf`` and ``inf``) are only considered close if and only if they are equal. ``NaN``'s are
2025-03-14T04:34:34.8553583Z     only considered equal to each other if ``equal_nan`` is ``True``.
2025-03-14T04:34:34.8553916Z 
2025-03-14T04:34:34.8554137Z     In addition, they are only considered close if they have the same
2025-03-14T04:34:34.8554463Z 
2025-03-14T04:34:34.8554681Z     - :attr:`~torch.Tensor.device` (if ``check_device`` is ``True``),
2025-03-14T04:34:34.8555210Z     - ``dtype`` (if ``check_dtype`` is ``True``),
2025-03-14T04:34:34.8555700Z     - ``layout`` (if ``check_layout`` is ``True``), and
2025-03-14T04:34:34.8556105Z     - stride (if ``check_stride`` is ``True``).
2025-03-14T04:34:34.8556350Z 
2025-03-14T04:34:34.8556672Z     If either ``actual`` or ``expected`` is a meta tensor, only the attribute checks will be performed.
2025-03-14T04:34:34.8557098Z 
2025-03-14T04:34:34.8557484Z     If ``actual`` and ``expected`` are sparse (either having COO, CSR, CSC, BSR, or BSC layout), their strided members are
2025-03-14T04:34:34.8558425Z     checked individually. Indices, namely ``indices`` for COO, ``crow_indices`` and ``col_indices`` for CSR and BSR,
2025-03-14T04:34:34.8559175Z     or ``ccol_indices``  and ``row_indices`` for CSC and BSC layouts, respectively,
2025-03-14T04:34:34.8559941Z     are always checked for equality whereas the values are checked for closeness according to the definition above.
2025-03-14T04:34:34.8560472Z 
2025-03-14T04:34:34.8560765Z     If ``actual`` and ``expected`` are quantized, they are considered close if they have the same
2025-03-14T04:34:34.8561557Z     :meth:`~torch.Tensor.qscheme` and the result of :meth:`~torch.Tensor.dequantize` is close according to the
2025-03-14T04:34:34.8562159Z     definition above.
2025-03-14T04:34:34.8562338Z 
2025-03-14T04:34:34.8562655Z     ``actual`` and ``expected`` can be :class:`~torch.Tensor`'s or any tensor-or-scalar-likes from which
2025-03-14T04:34:34.8563489Z     :class:`torch.Tensor`'s can be constructed with :func:`torch.as_tensor`. Except for Python scalars the input types
2025-03-14T04:34:34.8564377Z     have to be directly related. In addition, ``actual`` and ``expected`` can be :class:`~collections.abc.Sequence`'s
2025-03-14T04:34:34.8565270Z     or :class:`~collections.abc.Mapping`'s in which case they are considered close if their structure matches and all
2025-03-14T04:34:34.8566022Z     their elements are considered close according to the above definition.
2025-03-14T04:34:34.8566392Z 
2025-03-14T04:34:34.8566498Z     .. note::
2025-03-14T04:34:34.8566651Z 
2025-03-14T04:34:34.8567214Z         Python scalars are an exception to the type relation requirement, because their :func:`type`, i.e.
2025-03-14T04:34:34.8568030Z         :class:`int`, :class:`float`, and :class:`complex`, is equivalent to the ``dtype`` of a tensor-like. Thus,
2025-03-14T04:34:34.8568782Z         Python scalars of different types can be checked, but require ``check_dtype=False``.
2025-03-14T04:34:34.8569210Z 
2025-03-14T04:34:34.8569305Z     Args:
2025-03-14T04:34:34.8569564Z         actual (Any): Actual input.
2025-03-14T04:34:34.8569911Z         expected (Any): Expected input.
2025-03-14T04:34:34.8570514Z         allow_subclasses (bool): If ``True`` (default) and except for Python scalars, inputs of directly related types
2025-03-14T04:34:34.8571172Z             are allowed. Otherwise type equality is required.
2025-03-14T04:34:34.8571836Z         rtol (Optional[float]): Relative tolerance. If specified ``atol`` must also be specified. If omitted, default
2025-03-14T04:34:34.8572660Z             values based on the :attr:`~torch.Tensor.dtype` are selected with the below table.
2025-03-14T04:34:34.8573431Z         atol (Optional[float]): Absolute tolerance. If specified ``rtol`` must also be specified. If omitted, default
2025-03-14T04:34:34.8574202Z             values based on the :attr:`~torch.Tensor.dtype` are selected with the below table.
2025-03-14T04:34:34.8574900Z         equal_nan (Union[bool, str]): If ``True``, two ``NaN`` values will be considered equal.
2025-03-14T04:34:34.8575583Z         check_device (bool): If ``True`` (default), asserts that corresponding tensors are on the same
2025-03-14T04:34:34.8576262Z             :attr:`~torch.Tensor.device`. If this check is disabled, tensors on different
2025-03-14T04:34:34.8576889Z             :attr:`~torch.Tensor.device`'s are moved to the CPU before being compared.
2025-03-14T04:34:34.8577619Z         check_dtype (bool): If ``True`` (default), asserts that corresponding tensors have the same ``dtype``. If this
2025-03-14T04:34:34.8578508Z             check is disabled, tensors with different ``dtype``'s are promoted  to a common ``dtype`` (according to
2025-03-14T04:34:34.8579159Z             :func:`torch.promote_types`) before being compared.
2025-03-14T04:34:34.8579817Z         check_layout (bool): If ``True`` (default), asserts that corresponding tensors have the same ``layout``. If this
2025-03-14T04:34:34.8580656Z             check is disabled, tensors with different ``layout``'s are converted to strided tensors before being
2025-03-14T04:34:34.8581232Z             compared.
2025-03-14T04:34:34.8581778Z         check_stride (bool): If ``True`` and corresponding tensors are strided, asserts that they have the same stride.
2025-03-14T04:34:34.8582646Z         msg (Optional[Union[str, Callable[[str], str]]]): Optional error message to use in case a failure occurs during
2025-03-14T04:34:34.8583505Z             the comparison. Can also passed as callable in which case it will be called with the generated message and
2025-03-14T04:34:34.8584131Z             should return the new message.
2025-03-14T04:34:34.8584365Z 
2025-03-14T04:34:34.8584476Z     Raises:
2025-03-14T04:34:34.8584859Z         ValueError: If no :class:`torch.Tensor` can be constructed from an input.
2025-03-14T04:34:34.8585404Z         ValueError: If only ``rtol`` or ``atol`` is specified.
2025-03-14T04:34:34.8586042Z         AssertionError: If corresponding inputs are not Python scalars and are not directly related.
2025-03-14T04:34:34.8586882Z         AssertionError: If ``allow_subclasses`` is ``False``, but corresponding inputs are not Python scalars and have
2025-03-14T04:34:34.8587496Z             different types.
2025-03-14T04:34:34.8588073Z         AssertionError: If the inputs are :class:`~collections.abc.Sequence`'s, but their length does not match.
2025-03-14T04:34:34.8588949Z         AssertionError: If the inputs are :class:`~collections.abc.Mapping`'s, but their set of keys do not match.
2025-03-14T04:34:34.8589828Z         AssertionError: If corresponding tensors do not have the same :attr:`~torch.Tensor.shape`.
2025-03-14T04:34:34.8590599Z         AssertionError: If ``check_layout`` is ``True``, but corresponding tensors do not have the same
2025-03-14T04:34:34.8591149Z             :attr:`~torch.Tensor.layout`.
2025-03-14T04:34:34.8591618Z         AssertionError: If only one of corresponding tensors is quantized.
2025-03-14T04:34:34.8592383Z         AssertionError: If corresponding tensors are quantized, but have different :meth:`~torch.Tensor.qscheme`'s.
2025-03-14T04:34:34.8593215Z         AssertionError: If ``check_device`` is ``True``, but corresponding tensors are not on the same
2025-03-14T04:34:34.8593775Z             :attr:`~torch.Tensor.device`.
2025-03-14T04:34:34.8594363Z         AssertionError: If ``check_dtype`` is ``True``, but corresponding tensors do not have the same ``dtype``.
2025-03-14T04:34:34.8595302Z         AssertionError: If ``check_stride`` is ``True``, but corresponding strided tensors do not have the same stride.
2025-03-14T04:34:34.8596316Z         AssertionError: If the values of corresponding tensors are not close according to the definition above.
2025-03-14T04:34:34.8596829Z 
2025-03-14T04:34:34.8597208Z     The following table displays the default ``rtol`` and ``atol`` for different ``dtype``'s. In case of mismatching
2025-03-14T04:34:34.8597872Z     ``dtype``'s, the maximum of both tolerances is used.
2025-03-14T04:34:34.8598159Z 
2025-03-14T04:34:34.8598335Z     +---------------------------+------------+----------+
2025-03-14T04:34:34.8598730Z     | ``dtype``                 | ``rtol``   | ``atol`` |
2025-03-14T04:34:34.8599106Z     +===========================+============+==========+
2025-03-14T04:34:34.8599492Z     | :attr:`~torch.float16`    | ``1e-3``   | ``1e-5`` |
2025-03-14T04:34:34.8599891Z     +---------------------------+------------+----------+
2025-03-14T04:34:34.8600293Z     | :attr:`~torch.bfloat16`   | ``1.6e-2`` | ``1e-5`` |
2025-03-14T04:34:34.8600691Z     +---------------------------+------------+----------+
2025-03-14T04:34:34.8601145Z     | :attr:`~torch.float32`    | ``1.3e-6`` | ``1e-5`` |
2025-03-14T04:34:34.8601542Z     +---------------------------+------------+----------+
2025-03-14T04:34:34.8601940Z     | :attr:`~torch.float64`    | ``1e-7``   | ``1e-7`` |
2025-03-14T04:34:34.8602334Z     +---------------------------+------------+----------+
2025-03-14T04:34:34.8602741Z     | :attr:`~torch.complex32`  | ``1e-3``   | ``1e-5`` |
2025-03-14T04:34:34.8603136Z     +---------------------------+------------+----------+
2025-03-14T04:34:34.8603530Z     | :attr:`~torch.complex64`  | ``1.3e-6`` | ``1e-5`` |
2025-03-14T04:34:34.8603924Z     +---------------------------+------------+----------+
2025-03-14T04:34:34.8604321Z     | :attr:`~torch.complex128` | ``1e-7``   | ``1e-7`` |
2025-03-14T04:34:34.8604720Z     +---------------------------+------------+----------+
2025-03-14T04:34:34.8605114Z     | :attr:`~torch.quint8`     | ``1.3e-6`` | ``1e-5`` |
2025-03-14T04:34:34.8605511Z     +---------------------------+------------+----------+
2025-03-14T04:34:34.8605901Z     | :attr:`~torch.quint2x4`   | ``1.3e-6`` | ``1e-5`` |
2025-03-14T04:34:34.8606298Z     +---------------------------+------------+----------+
2025-03-14T04:34:34.8606697Z     | :attr:`~torch.quint4x2`   | ``1.3e-6`` | ``1e-5`` |
2025-03-14T04:34:34.8607097Z     +---------------------------+------------+----------+
2025-03-14T04:34:34.8607519Z     | :attr:`~torch.qint8`      | ``1.3e-6`` | ``1e-5`` |
2025-03-14T04:34:34.8607918Z     +---------------------------+------------+----------+
2025-03-14T04:34:34.8608314Z     | :attr:`~torch.qint32`     | ``1.3e-6`` | ``1e-5`` |
2025-03-14T04:34:34.8608711Z     +---------------------------+------------+----------+
2025-03-14T04:34:34.8609100Z     | other                     | ``0.0``    | ``0.0``  |
2025-03-14T04:34:34.8609472Z     +---------------------------+------------+----------+
2025-03-14T04:34:34.8609732Z 
2025-03-14T04:34:34.8609837Z     .. note::
2025-03-14T04:34:34.8609992Z 
2025-03-14T04:34:34.8610437Z         :func:`~torch.testing.assert_close` is highly configurable with strict default settings. Users are encouraged
2025-03-14T04:34:34.8611324Z         to :func:`~functools.partial` it to fit their use case. For example, if an equality check is needed, one might
2025-03-14T04:34:34.8612093Z         define an ``assert_equal`` that uses zero tolerances for every ``dtype`` by default:
2025-03-14T04:34:34.8612495Z 
2025-03-14T04:34:34.8612610Z         >>> import functools
2025-03-14T04:34:34.8613080Z         >>> assert_equal = functools.partial(torch.testing.assert_close, rtol=0, atol=0)
2025-03-14T04:34:34.8613601Z         >>> assert_equal(1e-9, 1e-10)
2025-03-14T04:34:34.8613959Z         Traceback (most recent call last):
2025-03-14T04:34:34.8614302Z         ...
2025-03-14T04:34:34.8614578Z         AssertionError: Scalars are not equal!
2025-03-14T04:34:34.8614933Z         <BLANKLINE>
2025-03-14T04:34:34.8615215Z         Expected 1e-10 but got 1e-09.
2025-03-14T04:34:34.8615619Z         Absolute difference: 9.000000000000001e-10
2025-03-14T04:34:34.8615995Z         Relative difference: 9.0
2025-03-14T04:34:34.8616203Z 
2025-03-14T04:34:34.8616312Z     Examples:
2025-03-14T04:34:34.8616584Z         >>> # tensor to tensor comparison
2025-03-14T04:34:34.8616963Z         >>> expected = torch.tensor([1e0, 1e-1, 1e-2])
2025-03-14T04:34:34.8617366Z         >>> actual = torch.acos(torch.cos(expected))
2025-03-14T04:34:34.8617812Z         >>> torch.testing.assert_close(actual, expected)
2025-03-14T04:34:34.8618077Z 
2025-03-14T04:34:34.8618211Z         >>> # scalar to scalar comparison
2025-03-14T04:34:34.8618548Z         >>> import math
2025-03-14T04:34:34.8618837Z         >>> expected = math.sqrt(2.0)
2025-03-14T04:34:34.8619166Z         >>> actual = 2.0 / math.sqrt(2.0)
2025-03-14T04:34:34.8619551Z         >>> torch.testing.assert_close(actual, expected)
2025-03-14T04:34:34.8619829Z 
2025-03-14T04:34:34.8619963Z         >>> # numpy array to numpy array comparison
2025-03-14T04:34:34.8620368Z         >>> import numpy as np
2025-03-14T04:34:34.8620705Z         >>> expected = np.array([1e0, 1e-1, 1e-2])
2025-03-14T04:34:34.8621093Z         >>> actual = np.arccos(np.cos(expected))
2025-03-14T04:34:34.8621499Z         >>> torch.testing.assert_close(actual, expected)
2025-03-14T04:34:34.8621777Z 
2025-03-14T04:34:34.8621906Z         >>> # sequence to sequence comparison
2025-03-14T04:34:34.8622260Z         >>> import numpy as np
2025-03-14T04:34:34.8622728Z         >>> # The types of the sequences do not have to match. They only have to have the same
2025-03-14T04:34:34.8623256Z         >>> # length and their elements have to match.
2025-03-14T04:34:34.8623681Z         >>> expected = [torch.tensor([1.0]), 2.0, np.array(3.0)]
2025-03-14T04:34:34.8624082Z         >>> actual = tuple(expected)
2025-03-14T04:34:34.8624459Z         >>> torch.testing.assert_close(actual, expected)
2025-03-14T04:34:34.8624725Z 
2025-03-14T04:34:34.8624865Z         >>> # mapping to mapping comparison
2025-03-14T04:34:34.8625246Z         >>> from collections import OrderedDict
2025-03-14T04:34:34.8625611Z         >>> import numpy as np
2025-03-14T04:34:34.8625927Z         >>> foo = torch.tensor(1.0)
2025-03-14T04:34:34.8626244Z         >>> bar = 2.0
2025-03-14T04:34:34.8626520Z         >>> baz = np.array(3.0)
2025-03-14T04:34:34.8626982Z         >>> # The types and a possible ordering of mappings do not have to match. They only
2025-03-14T04:34:34.8627591Z         >>> # have to have the same set of keys and their elements have to match.
2025-03-14T04:34:34.8628145Z         >>> expected = OrderedDict([("foo", foo), ("bar", bar), ("baz", baz)])
2025-03-14T04:34:34.8628619Z         >>> actual = {"baz": baz, "bar": bar, "foo": foo}
2025-03-14T04:34:34.8629039Z         >>> torch.testing.assert_close(actual, expected)
2025-03-14T04:34:34.8629318Z 
2025-03-14T04:34:34.8629452Z         >>> expected = torch.tensor([1.0, 2.0, 3.0])
2025-03-14T04:34:34.8629824Z         >>> actual = expected.clone()
2025-03-14T04:34:34.8630227Z         >>> # By default, directly related instances can be compared
2025-03-14T04:34:34.8630803Z         >>> torch.testing.assert_close(torch.nn.Parameter(actual), expected)
2025-03-14T04:34:34.8631357Z         >>> # This check can be made more strict with allow_subclasses=False
2025-03-14T04:34:34.8631806Z         >>> torch.testing.assert_close(
2025-03-14T04:34:34.8632249Z         ...     torch.nn.Parameter(actual), expected, allow_subclasses=False
2025-03-14T04:34:34.8632687Z         ... )
2025-03-14T04:34:34.8632956Z         Traceback (most recent call last):
2025-03-14T04:34:34.8633292Z         ...
2025-03-14T04:34:34.8633644Z         TypeError: No comparison pair was able to handle inputs of type
2025-03-14T04:34:34.8634211Z         <class 'torch.nn.parameter.Parameter'> and <class 'torch.Tensor'>.
2025-03-14T04:34:34.8634798Z         >>> # If the inputs are not directly related, they are never considered close
2025-03-14T04:34:34.8635444Z         >>> torch.testing.assert_close(actual.numpy(), expected)
2025-03-14T04:34:34.8635920Z         Traceback (most recent call last):
2025-03-14T04:34:34.8636258Z         ...
2025-03-14T04:34:34.8636700Z         TypeError: No comparison pair was able to handle inputs of type <class 'numpy.ndarray'>
2025-03-14T04:34:34.8637245Z         and <class 'torch.Tensor'>.
2025-03-14T04:34:34.8637740Z         >>> # Exceptions to these rules are Python scalars. They can be checked regardless of
2025-03-14T04:34:34.8638313Z         >>> # their type if check_dtype=False.
2025-03-14T04:34:34.8638730Z         >>> torch.testing.assert_close(1.0, 1, check_dtype=False)
2025-03-14T04:34:34.8639036Z 
2025-03-14T04:34:34.8639147Z         >>> # NaN != NaN by default.
2025-03-14T04:34:34.8639498Z         >>> expected = torch.tensor(float("Nan"))
2025-03-14T04:34:34.8639876Z         >>> actual = expected.clone()
2025-03-14T04:34:34.8640265Z         >>> torch.testing.assert_close(actual, expected)
2025-03-14T04:34:34.8640671Z         Traceback (most recent call last):
2025-03-14T04:34:34.8641010Z         ...
2025-03-14T04:34:34.8641320Z         AssertionError: Scalars are not close!
2025-03-14T04:34:34.8641672Z         <BLANKLINE>
2025-03-14T04:34:34.8641946Z         Expected nan but got nan.
2025-03-14T04:34:34.8642312Z         Absolute difference: nan (up to 1e-05 allowed)
2025-03-14T04:34:34.8642746Z         Relative difference: nan (up to 1.3e-06 allowed)
2025-03-14T04:34:34.8643233Z         >>> torch.testing.assert_close(actual, expected, equal_nan=True)
2025-03-14T04:34:34.8643561Z 
2025-03-14T04:34:34.8643711Z         >>> expected = torch.tensor([1.0, 2.0, 3.0])
2025-03-14T04:34:34.8644095Z         >>> actual = torch.tensor([1.0, 4.0, 5.0])
2025-03-14T04:34:34.8644503Z         >>> # The default error message can be overwritten.
2025-03-14T04:34:34.8645083Z         >>> torch.testing.assert_close(actual, expected, msg="Argh, the tensors are not close!")
2025-03-14T04:34:34.8645645Z         Traceback (most recent call last):
2025-03-14T04:34:34.8645986Z         ...
2025-03-14T04:34:34.8646291Z         AssertionError: Argh, the tensors are not close!
2025-03-14T04:34:34.8646811Z         >>> # If msg is a callable, it can be used to augment the generated message with
2025-03-14T04:34:34.8647273Z         >>> # extra information
2025-03-14T04:34:34.8647602Z         >>> torch.testing.assert_close(
2025-03-14T04:34:34.8648054Z         ...     actual, expected, msg=lambda msg: f"Header\n\n{msg}\n\nFooter"
2025-03-14T04:34:34.8648495Z         ... )
2025-03-14T04:34:34.8648774Z         Traceback (most recent call last):
2025-03-14T04:34:34.8649114Z         ...
2025-03-14T04:34:34.8649374Z         AssertionError: Header
2025-03-14T04:34:34.8649684Z         <BLANKLINE>
2025-03-14T04:34:34.8649966Z         Tensor-likes are not close!
2025-03-14T04:34:34.8650288Z         <BLANKLINE>
2025-03-14T04:34:34.8650568Z         Mismatched elements: 2 / 3 (66.7%)
2025-03-14T04:34:34.8651045Z         Greatest absolute difference: 2.0 at index (1,) (up to 1e-05 allowed)
2025-03-14T04:34:34.8651647Z         Greatest relative difference: 1.0 at index (1,) (up to 1.3e-06 allowed)
2025-03-14T04:34:34.8652158Z         <BLANKLINE>
2025-03-14T04:34:34.8652407Z         Footer
2025-03-14T04:34:34.8652643Z     
2025-03-14T04:34:34.8653035Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:34.8653414Z 
2025-03-14T04:34:35.9815825Z msg = Cannot scrape callname=register_pytree_node in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py line=104.
2025-03-14T04:34:35.9816831Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:35.9817383Z Register a container-like type as pytree node.
2025-03-14T04:34:35.9817650Z 
2025-03-14T04:34:35.9817756Z     Args:
2025-03-14T04:34:35.9818091Z         cls (type): A Python type to treat as an internal pytree node.
2025-03-14T04:34:35.9818696Z         flatten_fn (callable): A function to be used during flattening, taking an instance of
2025-03-14T04:34:35.9819366Z             ``cls`` and returning a pair, with (1) an iterable for the children to be flattened
2025-03-14T04:34:35.9820268Z             recursively, and (2) some hashable auxiliary data to be stored in the treespec and to be
2025-03-14T04:34:35.9820831Z             passed to the ``unflatten_fn``.
2025-03-14T04:34:35.9821366Z         unflatten_fn (callable): A function taking two arguments: the auxiliary data that was
2025-03-14T04:34:35.9822118Z             returned by ``flatten_fn`` and stored in the treespec, and the unflattened children.
2025-03-14T04:34:35.9822690Z             The function should return an instance of ``cls``.
2025-03-14T04:34:35.9823269Z         serialized_type_name (str, optional): A keyword argument used to specify the fully
2025-03-14T04:34:35.9823852Z             qualified name used when serializing the tree spec.
2025-03-14T04:34:35.9824468Z         to_dumpable_context (callable, optional): An optional keyword argument to custom specify how
2025-03-14T04:34:35.9825207Z             to convert the context of the pytree to a custom json dumpable representation. This is
2025-03-14T04:34:35.9825962Z             used for json serialization, which is being used in :mod:`torch.export` right now.
2025-03-14T04:34:35.9826689Z         from_dumpable_context (callable, optional): An optional keyword argument to custom specify
2025-03-14T04:34:35.9827407Z             how to convert the custom json dumpable representation of the context back to the
2025-03-14T04:34:35.9828079Z             original context. This is used for json deserialization, which is being used in
2025-03-14T04:34:35.9828602Z             :mod:`torch.export` right now.
2025-03-14T04:34:35.9828834Z 
2025-03-14T04:34:35.9828966Z     Example::
2025-03-14T04:34:35.9829107Z 
2025-03-14T04:34:35.9829231Z         >>> # xdoctest: +SKIP
2025-03-14T04:34:35.9829573Z         >>> # Registry a Python type with lambda functions
2025-03-14T04:34:35.9829967Z         >>> register_pytree_node(
2025-03-14T04:34:35.9830275Z         ...     set,
2025-03-14T04:34:35.9830568Z         ...     lambda s: (sorted(s), None, None),
2025-03-14T04:34:35.9830961Z         ...     lambda children, _: set(children),
2025-03-14T04:34:35.9831308Z         ... )
2025-03-14T04:34:35.9831541Z     
2025-03-14T04:34:35.9831932Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:35.9832323Z 
2025-03-14T04:34:36.0333785Z msg = Cannot scrape callname=SelectiveCheckpointContext in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/checkpoint.py line=1200.
2025-03-14T04:34:36.0334921Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:36.0335333Z 
2025-03-14T04:34:36.0335561Z Context passed to policy function during selective checkpointing.
2025-03-14T04:34:36.0335916Z 
2025-03-14T04:34:36.0336150Z This class is used to pass relevant metadata to the policy function during
2025-03-14T04:34:36.0336791Z selective checkpointing. The metadata includes whether the current invocation
2025-03-14T04:34:36.0337376Z of the policy function is during recomputation or not.
2025-03-14T04:34:36.0337846Z 
2025-03-14T04:34:36.0337944Z Example:
2025-03-14T04:34:36.0338193Z     >>> # xdoctest: +SKIP(stub)
2025-03-14T04:34:36.0338492Z     >>>
2025-03-14T04:34:36.0338759Z     >>> def policy_fn(ctx, op, *args, **kwargs):
2025-03-14T04:34:36.0339243Z     >>>    print(ctx.is_recompute)
2025-03-14T04:34:36.0339548Z     >>>
2025-03-14T04:34:36.0340091Z     >>> context_fn = functools.partial(create_selective_checkpoint_contexts, policy_fn)
2025-03-14T04:34:36.0340671Z     >>>
2025-03-14T04:34:36.0340950Z     >>> out = torch.utils.checkpoint.checkpoint(
2025-03-14T04:34:36.0341381Z     >>>     fn, x, y,
2025-03-14T04:34:36.0341648Z     >>>     use_reentrant=False,
2025-03-14T04:34:36.0342022Z     >>>     context_fn=context_fn,
2025-03-14T04:34:36.0342329Z     >>> )
2025-03-14T04:34:36.0342471Z 
2025-03-14T04:34:36.0342790Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:36.0343185Z 
2025-03-14T04:34:36.0344030Z msg = Cannot scrape callname=create_selective_checkpoint_contexts in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/checkpoint.py line=1334.
2025-03-14T04:34:36.0345186Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:36.0345580Z 
2025-03-14T04:34:36.0345898Z Helper to avoid recomputing certain ops during activation checkpointing.
2025-03-14T04:34:36.0346265Z 
2025-03-14T04:34:36.0346608Z Use this with `torch.utils.checkpoint.checkpoint` to control which
2025-03-14T04:34:36.0347144Z operations are recomputed during the backward pass.
2025-03-14T04:34:36.0347497Z 
2025-03-14T04:34:36.0347591Z Args:
2025-03-14T04:34:36.0347857Z     policy_fn_or_list (Callable or List):
2025-03-14T04:34:36.0348333Z       - If a policy function is provided, it should accept a
2025-03-14T04:34:36.0348939Z         :class:`SelectiveCheckpointContext`, the :class:`OpOverload`, args and
2025-03-14T04:34:36.0349573Z         kwargs to the op, and return a :class:`CheckpointPolicy` enum value
2025-03-14T04:34:36.0350306Z         indicating whether the execution of the op should be recomputed or not.
2025-03-14T04:34:36.0350928Z       - If a list of operations is provided, it is equivalent to a policy
2025-03-14T04:34:36.0351524Z         returning `CheckpointPolicy.MUST_SAVE` for the specified
2025-03-14T04:34:36.0352126Z         operations and `CheckpointPolicy.PREFER_RECOMPUTE` for all other
2025-03-14T04:34:36.0352622Z         operations.
2025-03-14T04:34:36.0353032Z     allow_cache_entry_mutation (bool, optional): By default, an error is
2025-03-14T04:34:36.0353661Z         raised if any tensors cached by selective activation checkpoint are
2025-03-14T04:34:36.0354293Z         mutated in order to ensure correctness. If set to `True`, this check
2025-03-14T04:34:36.0354746Z         is disabled.
2025-03-14T04:34:36.0355062Z Returns:
2025-03-14T04:34:36.0355381Z     A tuple of two context managers.
2025-03-14T04:34:36.0355606Z 
2025-03-14T04:34:36.0355767Z Example:
2025-03-14T04:34:36.0356026Z     >>> # xdoctest: +REQUIRES(LINUX)
2025-03-14T04:34:36.0356360Z     >>> import functools
2025-03-14T04:34:36.0356678Z     >>>
2025-03-14T04:34:36.0356944Z     >>> x = torch.rand(10, 10, requires_grad=True)
2025-03-14T04:34:36.0357381Z     >>> y = torch.rand(10, 10, requires_grad=True)
2025-03-14T04:34:36.0357721Z     >>>
2025-03-14T04:34:36.0357988Z     >>> ops_to_save = [
2025-03-14T04:34:36.0358304Z     >>>    torch.ops.aten.mm.default,
2025-03-14T04:34:36.0358625Z     >>> ]
2025-03-14T04:34:36.0358902Z     >>>
2025-03-14T04:34:36.0359164Z     >>> def policy_fn(ctx, op, *args, **kwargs):
2025-03-14T04:34:36.0359583Z     >>>    if op in ops_to_save:
2025-03-14T04:34:36.0359929Z     >>>        return CheckpointPolicy.MUST_SAVE
2025-03-14T04:34:36.0360323Z     >>>    else:
2025-03-14T04:34:36.0360629Z     >>>        return CheckpointPolicy.PREFER_RECOMPUTE
2025-03-14T04:34:36.0361010Z     >>>
2025-03-14T04:34:36.0361462Z     >>> context_fn = functools.partial(create_selective_checkpoint_contexts, policy_fn)
2025-03-14T04:34:36.0362068Z     >>>
2025-03-14T04:34:36.0362307Z     >>> # or equivalently
2025-03-14T04:34:36.0362836Z     >>> context_fn = functools.partial(create_selective_checkpoint_contexts, ops_to_save)
2025-03-14T04:34:36.0363397Z     >>>
2025-03-14T04:34:36.0363633Z     >>> def fn(x, y):
2025-03-14T04:34:36.0364012Z     >>>     return torch.sigmoid(torch.matmul(torch.matmul(x, y), y)) * y
2025-03-14T04:34:36.0364501Z     >>>
2025-03-14T04:34:36.0364779Z     >>> out = torch.utils.checkpoint.checkpoint(
2025-03-14T04:34:36.0365201Z     >>>     fn, x, y,
2025-03-14T04:34:36.0365480Z     >>>     use_reentrant=False,
2025-03-14T04:34:36.0365856Z     >>>     context_fn=context_fn,
2025-03-14T04:34:36.0366163Z     >>> )
2025-03-14T04:34:36.0366290Z 
2025-03-14T04:34:36.0366615Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:36.0367220Z 
2025-03-14T04:34:36.0556800Z msg = Cannot scrape callname=CppExtension in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/cpp_extension.py line=1064.
2025-03-14T04:34:36.0558066Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:36.0558461Z 
2025-03-14T04:34:36.0558628Z Create a :class:`setuptools.Extension` for C++.
2025-03-14T04:34:36.0558951Z 
2025-03-14T04:34:36.0559215Z Convenience method that creates a :class:`setuptools.Extension` with the
2025-03-14T04:34:36.0559965Z bare minimum (but often sufficient) arguments to build a C++ extension.
2025-03-14T04:34:36.0560387Z 
2025-03-14T04:34:36.0560605Z All arguments are forwarded to the :class:`setuptools.Extension`
2025-03-14T04:34:36.0561149Z constructor. Full list arguments can be found at
2025-03-14T04:34:36.0561786Z https://setuptools.pypa.io/en/latest/userguide/ext_modules.html#extension-api-reference
2025-03-14T04:34:36.0562281Z 
2025-03-14T04:34:36.0562410Z .. warning::
2025-03-14T04:34:36.0562959Z     The PyTorch python API (as provided in libtorch_python) cannot be built
2025-03-14T04:34:36.0563951Z     with the flag ``py_limited_api=True``.  When this flag is passed, it is
2025-03-14T04:34:36.0564835Z     the user's responsibility in their library to not use APIs from
2025-03-14T04:34:36.0565685Z     libtorch_python (in particular pytorch/python bindings) and to only use
2025-03-14T04:34:36.0566281Z     APIs from libtorch (aten objects, operators and the dispatcher). For
2025-03-14T04:34:36.0566865Z     example, to give access to custom ops from python, the library should
2025-03-14T04:34:36.0567539Z     register the ops through the dispatcher.
2025-03-14T04:34:36.0567784Z 
2025-03-14T04:34:36.0568036Z     Contrary to CPython setuptools, who does not define -DPy_LIMITED_API
2025-03-14T04:34:36.0568609Z     as a compile flag when py_limited_api is specified as an option for
2025-03-14T04:34:36.0569166Z     the "bdist_wheel" command in ``setup``, PyTorch does! We will specify
2025-03-14T04:34:36.0569826Z     -DPy_LIMITED_API=min_supported_cpython to best enforce consistency,
2025-03-14T04:34:36.0570569Z     safety, and sanity in order to encourage best practices. To target a
2025-03-14T04:34:36.0571190Z     different version, set min_supported_cpython to the hexcode of the
2025-03-14T04:34:36.0571657Z     CPython version of choice.
2025-03-14T04:34:36.0571867Z 
2025-03-14T04:34:36.0571961Z Example:
2025-03-14T04:34:36.0572203Z     >>> # xdoctest: +SKIP
2025-03-14T04:34:36.0572554Z     >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-03-14T04:34:36.0572955Z     >>> from setuptools import setup
2025-03-14T04:34:36.0573418Z     >>> from torch.utils.cpp_extension import BuildExtension, CppExtension
2025-03-14T04:34:36.0573868Z     >>> setup(
2025-03-14T04:34:36.0574123Z     ...     name='extension',
2025-03-14T04:34:36.0574424Z     ...     ext_modules=[
2025-03-14T04:34:36.0574713Z     ...         CppExtension(
2025-03-14T04:34:36.0575022Z     ...             name='extension',
2025-03-14T04:34:36.0575367Z     ...             sources=['extension.cpp'],
2025-03-14T04:34:36.0575860Z     ...             extra_compile_args=['-g'],
2025-03-14T04:34:36.0576274Z     ...             extra_link_args=['-Wl,--no-as-needed', '-lm'])
2025-03-14T04:34:36.0576658Z     ...     ],
2025-03-14T04:34:36.0576908Z     ...     cmdclass={
2025-03-14T04:34:36.0577189Z     ...         'build_ext': BuildExtension
2025-03-14T04:34:36.0577523Z     ...     })
2025-03-14T04:34:36.0577677Z 
2025-03-14T04:34:36.0577945Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:36.0578334Z 
2025-03-14T04:34:36.0588010Z msg = Cannot scrape callname=CUDAExtension in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/cpp_extension.py line=1134.
2025-03-14T04:34:36.0589016Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:36.0589507Z 
2025-03-14T04:34:36.0589805Z Create a :class:`setuptools.Extension` for CUDA/C++.
2025-03-14T04:34:36.0590276Z 
2025-03-14T04:34:36.0590560Z Convenience method that creates a :class:`setuptools.Extension` with the
2025-03-14T04:34:36.0591391Z bare minimum (but often sufficient) arguments to build a CUDA/C++
2025-03-14T04:34:36.0591971Z extension. This includes the CUDA include path, library path and runtime
2025-03-14T04:34:36.0592437Z library.
2025-03-14T04:34:36.0592579Z 
2025-03-14T04:34:36.0592795Z All arguments are forwarded to the :class:`setuptools.Extension`
2025-03-14T04:34:36.0593351Z constructor. Full list arguments can be found at
2025-03-14T04:34:36.0593968Z https://setuptools.pypa.io/en/latest/userguide/ext_modules.html#extension-api-reference
2025-03-14T04:34:36.0594421Z 
2025-03-14T04:34:36.0594545Z .. warning::
2025-03-14T04:34:36.0594931Z     The PyTorch python API (as provided in libtorch_python) cannot be built
2025-03-14T04:34:36.0595620Z     with the flag ``py_limited_api=True``.  When this flag is passed, it is
2025-03-14T04:34:36.0596177Z     the user's responsibility in their library to not use APIs from
2025-03-14T04:34:36.0596749Z     libtorch_python (in particular pytorch/python bindings) and to only use
2025-03-14T04:34:36.0597403Z     APIs from libtorch (aten objects, operators and the dispatcher). For
2025-03-14T04:34:36.0597980Z     example, to give access to custom ops from python, the library should
2025-03-14T04:34:36.0598464Z     register the ops through the dispatcher.
2025-03-14T04:34:36.0598708Z 
2025-03-14T04:34:36.0598962Z     Contrary to CPython setuptools, who does not define -DPy_LIMITED_API
2025-03-14T04:34:36.0599532Z     as a compile flag when py_limited_api is specified as an option for
2025-03-14T04:34:36.0600087Z     the "bdist_wheel" command in ``setup``, PyTorch does! We will specify
2025-03-14T04:34:36.0600653Z     -DPy_LIMITED_API=min_supported_cpython to best enforce consistency,
2025-03-14T04:34:36.0601229Z     safety, and sanity in order to encourage best practices. To target a
2025-03-14T04:34:36.0601799Z     different version, set min_supported_cpython to the hexcode of the
2025-03-14T04:34:36.0602251Z     CPython version of choice.
2025-03-14T04:34:36.0602467Z 
2025-03-14T04:34:36.0602565Z Example:
2025-03-14T04:34:36.0602811Z     >>> # xdoctest: +SKIP
2025-03-14T04:34:36.0603154Z     >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-03-14T04:34:36.0603551Z     >>> from setuptools import setup
2025-03-14T04:34:36.0604013Z     >>> from torch.utils.cpp_extension import BuildExtension, CUDAExtension
2025-03-14T04:34:36.0604465Z     >>> setup(
2025-03-14T04:34:36.0604729Z     ...     name='cuda_extension',
2025-03-14T04:34:36.0605047Z     ...     ext_modules=[
2025-03-14T04:34:36.0605338Z     ...         CUDAExtension(
2025-03-14T04:34:36.0605659Z     ...                 name='cuda_extension',
2025-03-14T04:34:36.0606074Z     ...                 sources=['extension.cpp', 'extension_kernel.cu'],
2025-03-14T04:34:36.0606514Z     ...                 extra_compile_args={'cxx': ['-g'],
2025-03-14T04:34:36.0606901Z     ...                                     'nvcc': ['-O2']},
2025-03-14T04:34:36.0607314Z     ...                 extra_link_args=['-Wl,--no-as-needed', '-lcuda'])
2025-03-14T04:34:36.0607744Z     ...     ],
2025-03-14T04:34:36.0607996Z     ...     cmdclass={
2025-03-14T04:34:36.0608291Z     ...         'build_ext': BuildExtension
2025-03-14T04:34:36.0608611Z     ...     })
2025-03-14T04:34:36.0608763Z 
2025-03-14T04:34:36.0608871Z Compute capabilities:
2025-03-14T04:34:36.0609054Z 
2025-03-14T04:34:36.0609365Z By default the extension will be compiled to run on all archs of the cards visible during the
2025-03-14T04:34:36.0610103Z building process of the extension, plus PTX. If down the road a new card is installed the
2025-03-14T04:34:36.0610832Z extension may need to be recompiled. If a visible card has a compute capability (CC) that's
2025-03-14T04:34:36.0611574Z newer than the newest version for which your nvcc can build fully-compiled binaries, PyTorch
2025-03-14T04:34:36.0612304Z will make nvcc fall back to building kernels with the newest version of PTX your nvcc does
2025-03-14T04:34:36.0612859Z support (see below for details on PTX).
2025-03-14T04:34:36.0613137Z 
2025-03-14T04:34:36.0613460Z You can override the default behavior using `TORCH_CUDA_ARCH_LIST` to explicitly specify which
2025-03-14T04:34:36.0614032Z CCs you want the extension to support:
2025-03-14T04:34:36.0614273Z 
2025-03-14T04:34:36.0614470Z ``TORCH_CUDA_ARCH_LIST="6.1 8.6" python build_my_extension.py``
2025-03-14T04:34:36.0615067Z ``TORCH_CUDA_ARCH_LIST="5.2 6.0 6.1 7.0 7.5 8.0 8.6+PTX" python build_my_extension.py``
2025-03-14T04:34:36.0615448Z 
2025-03-14T04:34:36.0615777Z The +PTX option causes extension kernel binaries to include PTX instructions for the specified
2025-03-14T04:34:36.0616558Z CC. PTX is an intermediate representation that allows kernels to runtime-compile for any CC >=
2025-03-14T04:34:36.0617322Z the specified CC (for example, 8.6+PTX generates PTX that can runtime-compile for any GPU with
2025-03-14T04:34:36.0618062Z CC >= 8.6). This improves your binary's forward compatibility. However, relying on older PTX to
2025-03-14T04:34:36.0618865Z provide forward compat by runtime-compiling for newer CCs can modestly reduce performance on
2025-03-14T04:34:36.0619610Z those newer CCs. If you know exact CC(s) of the GPUs you want to target, you're always better
2025-03-14T04:34:36.0620353Z off specifying them individually. For example, if you want your extension to run on 8.0 and 8.6,
2025-03-14T04:34:36.0621139Z "8.0+PTX" would work functionally because it includes PTX that can runtime-compile for 8.6, but
2025-03-14T04:34:36.0621699Z "8.0 8.6" would be better.
2025-03-14T04:34:36.0621892Z 
2025-03-14T04:34:36.0622202Z Note that while it's possible to include all supported archs, the more archs get included the
2025-03-14T04:34:36.0622942Z slower the building process will be, as it will build a separate kernel image for each arch.
2025-03-14T04:34:36.0623375Z 
2025-03-14T04:34:36.0623715Z Note that CUDA-11.5 nvcc will hit internal compiler error while parsing torch/extension.h on Windows.
2025-03-14T04:34:36.0624412Z To workaround the issue, move python binding logic to pure C++ file.
2025-03-14T04:34:36.0624768Z 
2025-03-14T04:34:36.0624869Z Example use:
2025-03-14T04:34:36.0625125Z     #include <ATen/ATen.h>
2025-03-14T04:34:36.0625482Z     at::Tensor SigmoidAlphaBlendForwardCuda(....)
2025-03-14T04:34:36.0625749Z 
2025-03-14T04:34:36.0625858Z Instead of:
2025-03-14T04:34:36.0626115Z     #include <torch/extension.h>
2025-03-14T04:34:36.0626492Z     torch::Tensor SigmoidAlphaBlendForwardCuda(...)
2025-03-14T04:34:36.0626768Z 
2025-03-14T04:34:36.0627064Z Currently open issue for nvcc bug: https://github.com/pytorch/pytorch/issues/69460
2025-03-14T04:34:36.0627996Z Complete workaround code example: https://github.com/facebookresearch/pytorch3d/commit/cb170ac024a949f1f9614ffe6af1c38d972f7d48
2025-03-14T04:34:36.0628630Z 
2025-03-14T04:34:36.0628760Z Relocatable device code linking:
2025-03-14T04:34:36.0628968Z 
2025-03-14T04:34:36.0629271Z If you want to reference device symbols across compilation units (across object files),
2025-03-14T04:34:36.0629989Z the object files need to be built with `relocatable device code` (-rdc=true or -dc).
2025-03-14T04:34:36.0630763Z An exception to this rule is "dynamic parallelism" (nested kernel launches)  which is not used a lot anymore.
2025-03-14T04:34:36.0631602Z `Relocatable device code` is less optimized so it needs to be used only on object files that need it.
2025-03-14T04:34:36.0632403Z Using `-dlto` (Device Link Time Optimization) at the device code compilation step and `dlink` step
2025-03-14T04:34:36.0633052Z helps reduce the protentional perf degradation of `-rdc`.
2025-03-14T04:34:36.0633537Z Note that it needs to be used at both steps to be useful.
2025-03-14T04:34:36.0633822Z 
2025-03-14T04:34:36.0634218Z If you have `rdc` objects you need to have an extra `-dlink` (device linking) step before the CPU symbol linking step.
2025-03-14T04:34:36.0635015Z There is also a case where `-dlink` is used without `-rdc`:
2025-03-14T04:34:36.0635654Z when an extension is linked against a static lib containing rdc-compiled objects
2025-03-14T04:34:36.0636319Z like the [NVSHMEM library](https://developer.nvidia.com/nvshmem).
2025-03-14T04:34:36.0636654Z 
2025-03-14T04:34:36.0636879Z Note: Ninja is required to build a CUDA Extension with RDC linking.
2025-03-14T04:34:36.0637207Z 
2025-03-14T04:34:36.0637316Z Example:
2025-03-14T04:34:36.0637564Z     >>> # xdoctest: +SKIP
2025-03-14T04:34:36.0637900Z     >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-03-14T04:34:36.0638314Z     >>> CUDAExtension(
2025-03-14T04:34:36.0638602Z     ...        name='cuda_extension',
2025-03-14T04:34:36.0639000Z     ...        sources=['extension.cpp', 'extension_kernel.cu'],
2025-03-14T04:34:36.0639401Z     ...        dlink=True,
2025-03-14T04:34:36.0639718Z     ...        dlink_libraries=["dlink_lib"],
2025-03-14T04:34:36.0640095Z     ...        extra_compile_args={'cxx': ['-g'],
2025-03-14T04:34:36.0640481Z     ...                            'nvcc': ['-O2', '-rdc=true']})
2025-03-14T04:34:36.0640742Z 
2025-03-14T04:34:36.0641041Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:36.0641438Z 
2025-03-14T04:34:36.0642006Z msg = Cannot scrape callname=SyclExtension in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/cpp_extension.py line=1325.
2025-03-14T04:34:36.0642958Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:36.0643359Z 
2025-03-14T04:34:36.0643532Z Creates a :class:`setuptools.Extension` for SYCL/C++.
2025-03-14T04:34:36.0643825Z 
2025-03-14T04:34:36.0644078Z Convenience method that creates a :class:`setuptools.Extension` with the
2025-03-14T04:34:36.0644664Z bare minimum (but often sufficient) arguments to build a SYCL/C++
2025-03-14T04:34:36.0645091Z extension.
2025-03-14T04:34:36.0645234Z 
2025-03-14T04:34:36.0645450Z All arguments are forwarded to the :class:`setuptools.Extension`
2025-03-14T04:34:36.0645883Z constructor.
2025-03-14T04:34:36.0646022Z 
2025-03-14T04:34:36.0646133Z .. warning::
2025-03-14T04:34:36.0646527Z     The PyTorch python API (as provided in libtorch_python) cannot be built
2025-03-14T04:34:36.0647117Z     with the flag ``py_limited_api=True``.  When this flag is passed, it is
2025-03-14T04:34:36.0647673Z     the user's responsibility in their library to not use APIs from
2025-03-14T04:34:36.0648249Z     libtorch_python (in particular pytorch/python bindings) and to only use
2025-03-14T04:34:36.0648853Z     APIs from libtorch (aten objects, operators and the dispatcher). For
2025-03-14T04:34:36.0649428Z     example, to give access to custom ops from python, the library should
2025-03-14T04:34:36.0649914Z     register the ops through the dispatcher.
2025-03-14T04:34:36.0650158Z 
2025-03-14T04:34:36.0650403Z     Contrary to CPython setuptools, who does not define -DPy_LIMITED_API
2025-03-14T04:34:36.0650977Z     as a compile flag when py_limited_api is specified as an option for
2025-03-14T04:34:36.0651535Z     the "bdist_wheel" command in ``setup``, PyTorch does! We will specify
2025-03-14T04:34:36.0652139Z     -DPy_LIMITED_API=min_supported_cpython to best enforce consistency,
2025-03-14T04:34:36.0652702Z     safety, and sanity in order to encourage best practices. To target a
2025-03-14T04:34:36.0653275Z     different version, set min_supported_cpython to the hexcode of the
2025-03-14T04:34:36.0653740Z     CPython version of choice.
2025-03-14T04:34:36.0653950Z 
2025-03-14T04:34:36.0654046Z Example:
2025-03-14T04:34:36.0654292Z     >>> # xdoctest: +SKIP
2025-03-14T04:34:36.0654632Z     >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-03-14T04:34:36.0655146Z     >>> from torch.utils.cpp_extension import BuildExtension, SyclExtension
2025-03-14T04:34:36.0655599Z     >>> setup(
2025-03-14T04:34:36.0655861Z     ...     name='xpu_extension',
2025-03-14T04:34:36.0656178Z     ...     ext_modules=[
2025-03-14T04:34:36.0656463Z     ...     SyclExtension(
2025-03-14T04:34:36.0656775Z     ...                 name='xpu_extension',
2025-03-14T04:34:36.0657190Z     ...                 sources=['extension.cpp', 'extension_kernel.cpp'],
2025-03-14T04:34:36.0657716Z     ...                 extra_compile_args={'cxx': ['-g', '-std=c++20', '-fPIC']})
2025-03-14T04:34:36.0658130Z     ...     ],
2025-03-14T04:34:36.0658374Z     ...     cmdclass={
2025-03-14T04:34:36.0658665Z     ...         'build_ext': BuildExtension
2025-03-14T04:34:36.0658997Z     ...     })
2025-03-14T04:34:36.0659135Z 
2025-03-14T04:34:36.0659485Z By default the extension will be compiled to run on all archs of the cards visible during the
2025-03-14T04:34:36.0660186Z building process of the extension. If down the road a new card is installed the
2025-03-14T04:34:36.0660827Z extension may need to be recompiled. You can override the default behavior using
2025-03-14T04:34:36.0661537Z `TORCH_XPU_ARCH_LIST` to explicitly specify which device architectures you want the extension
2025-03-14T04:34:36.0662079Z to support:
2025-03-14T04:34:36.0662223Z 
2025-03-14T04:34:36.0662442Z ``TORCH_XPU_ARCH_LIST="pvc,xe-lpg" python build_my_extension.py``
2025-03-14T04:34:36.0662827Z 
2025-03-14T04:34:36.0663139Z Note that while it's possible to include all supported archs, the more archs get included the
2025-03-14T04:34:36.0663874Z slower the building process will be, as it will build a separate kernel image for each arch.
2025-03-14T04:34:36.0664305Z 
2025-03-14T04:34:36.0664457Z Note: Ninja is required to build SyclExtension.
2025-03-14T04:34:36.0664725Z 
2025-03-14T04:34:36.0664988Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:36.0665379Z 
2025-03-14T04:34:36.0665968Z msg = Cannot scrape callname=load in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/cpp_extension.py line=1502.
2025-03-14T04:34:36.0666872Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:36.0667460Z 
2025-03-14T04:34:36.0667628Z Load a PyTorch C++ extension just-in-time (JIT).
2025-03-14T04:34:36.0667893Z 
2025-03-14T04:34:36.0668123Z To load an extension, a Ninja build file is emitted, which is used to
2025-03-14T04:34:36.0668688Z compile the given sources into a dynamic library. This library is
2025-03-14T04:34:36.0669261Z subsequently loaded into the current Python process as a module and
2025-03-14T04:34:36.0669754Z returned from this function, ready for use.
2025-03-14T04:34:36.0669997Z 
2025-03-14T04:34:36.0670229Z By default, the directory to which the build file is emitted and the
2025-03-14T04:34:36.0670817Z resulting library compiled to is ``<tmp>/torch_extensions/<name>``, where
2025-03-14T04:34:36.0671405Z ``<tmp>`` is the temporary folder on the current platform and ``<name>``
2025-03-14T04:34:36.0671969Z the name of the extension. This location can be overridden in two ways.
2025-03-14T04:34:36.0672534Z First, if the ``TORCH_EXTENSIONS_DIR`` environment variable is set, it
2025-03-14T04:34:36.0673103Z replaces ``<tmp>/torch_extensions`` and all extensions will be compiled
2025-03-14T04:34:36.0673683Z into subfolders of this directory. Second, if the ``build_directory``
2025-03-14T04:34:36.0674351Z argument to this function is supplied, it overrides the entire path, i.e.
2025-03-14T04:34:36.0674898Z the library will be compiled into that folder directly.
2025-03-14T04:34:36.0675242Z 
2025-03-14T04:34:36.0675478Z To compile the sources, the default system compiler (``c++``) is used,
2025-03-14T04:34:36.0676080Z which can be overridden by setting the ``CXX`` environment variable. To pass
2025-03-14T04:34:36.0676685Z additional arguments to the compilation process, ``extra_cflags`` or
2025-03-14T04:34:36.0677280Z ``extra_ldflags`` can be provided. For example, to compile your extension
2025-03-14T04:34:36.0677866Z with optimizations, pass ``extra_cflags=['-O3']``. You can also use
2025-03-14T04:34:36.0678383Z ``extra_cflags`` to pass further include directories.
2025-03-14T04:34:36.0678669Z 
2025-03-14T04:34:36.0678915Z CUDA support with mixed compilation is provided. Simply pass CUDA source
2025-03-14T04:34:36.0679478Z files (``.cu`` or ``.cuh``) along with other sources. Such files will be
2025-03-14T04:34:36.0680101Z detected and compiled with nvcc rather than the C++ compiler. This includes
2025-03-14T04:34:36.0680703Z passing the CUDA lib64 directory as a library directory, and linking
2025-03-14T04:34:36.0681209Z ``cudart``. You can pass additional flags to nvcc via
2025-03-14T04:34:36.0681703Z ``extra_cuda_cflags``, just like with ``extra_cflags`` for C++. Various
2025-03-14T04:34:36.0682322Z heuristics for finding the CUDA install directory are used, which usually
2025-03-14T04:34:36.0682915Z work fine. If not, setting the ``CUDA_HOME`` environment variable is the
2025-03-14T04:34:36.0683368Z safest option.
2025-03-14T04:34:36.0683531Z 
2025-03-14T04:34:36.0683779Z SYCL support with mixed compilation is provided. Simply pass SYCL source
2025-03-14T04:34:36.0684358Z files (``.sycl``) along with other sources. Such files will be detected
2025-03-14T04:34:36.0684925Z and compiled with SYCL compiler (such as Intel DPC++ Compiler) rather
2025-03-14T04:34:36.0685538Z than the C++ compiler. You can pass additional flags to SYCL compiler
2025-03-14T04:34:36.0686086Z via ``extra_sycl_cflags``, just like with ``extra_cflags`` for C++.
2025-03-14T04:34:36.0686633Z SYCL compiler is expected to be found via system PATH environment
2025-03-14T04:34:36.0687067Z variable.
2025-03-14T04:34:36.0687196Z 
2025-03-14T04:34:36.0687301Z Args:
2025-03-14T04:34:36.0687658Z     name: The name of the extension to build. This MUST be the same as the
2025-03-14T04:34:36.0688124Z         name of the pybind11 module!
2025-03-14T04:34:36.0688558Z     sources: A list of relative or absolute paths to C++ source files.
2025-03-14T04:34:36.0689128Z     extra_cflags: optional list of compiler flags to forward to the build.
2025-03-14T04:34:36.0689714Z     extra_cuda_cflags: optional list of compiler flags to forward to nvcc
2025-03-14T04:34:36.0690183Z         when building CUDA sources.
2025-03-14T04:34:36.0690630Z     extra_sycl_cflags: optional list of compiler flags to forward to SYCL
2025-03-14T04:34:36.0691122Z         compiler when building SYCL sources.
2025-03-14T04:34:36.0691582Z     extra_ldflags: optional list of linker flags to forward to the build.
2025-03-14T04:34:36.0692169Z     extra_include_paths: optional list of include directories to forward
2025-03-14T04:34:36.0692623Z         to the build.
2025-03-14T04:34:36.0692985Z     build_directory: optional path to use as build workspace.
2025-03-14T04:34:36.0693484Z     verbose: If ``True``, turns on verbose logging of load steps.
2025-03-14T04:34:36.0694028Z     with_cuda: Determines whether CUDA headers and libraries are added to
2025-03-14T04:34:36.0694554Z         the build. If set to ``None`` (default), this value is
2025-03-14T04:34:36.0695055Z         automatically determined based on the existence of ``.cu`` or
2025-03-14T04:34:36.0695567Z         ``.cuh`` in ``sources``. Set it to `True`` to force CUDA headers
2025-03-14T04:34:36.0695988Z         and libraries to be included.
2025-03-14T04:34:36.0696442Z     with_sycl: Determines whether SYCL headers and libraries are added to
2025-03-14T04:34:36.0697027Z         the build. If set to ``None`` (default), this value is
2025-03-14T04:34:36.0697542Z         automatically determined based on the existence of ``.sycl`` in
2025-03-14T04:34:36.0698058Z         ``sources``. Set it to `True`` to force SYCL headers and
2025-03-14T04:34:36.0698464Z         libraries to be included.
2025-03-14T04:34:36.0698900Z     is_python_module: If ``True`` (default), imports the produced shared
2025-03-14T04:34:36.0699441Z         library as a Python module. If ``False``, behavior depends on
2025-03-14T04:34:36.0699871Z         ``is_standalone``.
2025-03-14T04:34:36.0700277Z     is_standalone: If ``False`` (default) loads the constructed extension
2025-03-14T04:34:36.0700823Z         into the process as a plain dynamic library. If ``True``, build a
2025-03-14T04:34:36.0701270Z         standalone executable.
2025-03-14T04:34:36.0701467Z 
2025-03-14T04:34:36.0701578Z Returns:
2025-03-14T04:34:36.0701867Z     If ``is_python_module`` is ``True``:
2025-03-14T04:34:36.0702278Z         Returns the loaded PyTorch extension as a Python module.
2025-03-14T04:34:36.0702591Z 
2025-03-14T04:34:36.0702807Z     If ``is_python_module`` is ``False`` and ``is_standalone`` is ``False``:
2025-03-14T04:34:36.0703368Z         Returns nothing. (The shared library is loaded into the process as
2025-03-14T04:34:36.0703818Z         a side effect.)
2025-03-14T04:34:36.0703997Z 
2025-03-14T04:34:36.0704142Z     If ``is_standalone`` is ``True``.
2025-03-14T04:34:36.0704579Z         Return the path to the executable. (On Windows, TORCH_LIB_PATH is
2025-03-14T04:34:36.0705101Z         added to the PATH environment variable as a side effect.)
2025-03-14T04:34:36.0705414Z 
2025-03-14T04:34:36.0705509Z Example:
2025-03-14T04:34:36.0705752Z     >>> # xdoctest: +SKIP
2025-03-14T04:34:36.0706085Z     >>> from torch.utils.cpp_extension import load
2025-03-14T04:34:36.0706453Z     >>> module = load(
2025-03-14T04:34:36.0706730Z     ...     name='extension',
2025-03-14T04:34:36.0707128Z     ...     sources=['extension.cpp', 'extension_kernel.cu'],
2025-03-14T04:34:36.0707530Z     ...     extra_cflags=['-O2'],
2025-03-14T04:34:36.0707840Z     ...     verbose=True)
2025-03-14T04:34:36.0708012Z 
2025-03-14T04:34:36.0708287Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:36.0708672Z 
2025-03-14T04:34:36.0709228Z msg = Cannot scrape callname=load_inline in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/cpp_extension.py line=1811.
2025-03-14T04:34:36.0710161Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:36.0710550Z 
2025-03-14T04:34:36.0710779Z Load a PyTorch C++ extension just-in-time (JIT) from string sources.
2025-03-14T04:34:36.0711111Z 
2025-03-14T04:34:36.0711365Z This function behaves exactly like :func:`load`, but takes its sources as
2025-03-14T04:34:36.0711969Z strings rather than filenames. These strings are stored to files in the
2025-03-14T04:34:36.0712558Z build directory, after which the behavior of :func:`load_inline` is
2025-03-14T04:34:36.0713013Z identical to :func:`load`.
2025-03-14T04:34:36.0713197Z 
2025-03-14T04:34:36.0713305Z See `the
2025-03-14T04:34:36.0713783Z tests <https://github.com/pytorch/pytorch/blob/master/test/test_cpp_extensions_jit.py>`_
2025-03-14T04:34:36.0714376Z for good examples of using this function.
2025-03-14T04:34:36.0714615Z 
2025-03-14T04:34:36.0714869Z Sources may omit two required parts of a typical non-inline C++ extension:
2025-03-14T04:34:36.0715578Z the necessary header includes, as well as the (pybind11) binding code. More
2025-03-14T04:34:36.0716206Z precisely, strings passed to ``cpp_sources`` are first concatenated into a
2025-03-14T04:34:36.0716765Z single ``.cpp`` file. This file is then prepended with ``#include
2025-03-14T04:34:36.0717192Z <torch/extension.h>``.
2025-03-14T04:34:36.0717375Z 
2025-03-14T04:34:36.0717608Z Furthermore, if the ``functions`` argument is supplied, bindings will be
2025-03-14T04:34:36.0718257Z automatically generated for each function specified. ``functions`` can
2025-03-14T04:34:36.0718861Z either be a list of function names, or a dictionary mapping from function
2025-03-14T04:34:36.0719450Z names to docstrings. If a list is given, the name of each function is used
2025-03-14T04:34:36.0719914Z as its docstring.
2025-03-14T04:34:36.0720079Z 
2025-03-14T04:34:36.0720306Z The sources in ``cuda_sources`` are concatenated into a separate ``.cu``
2025-03-14T04:34:36.0720846Z file and  prepended with ``torch/types.h``, ``cuda.h`` and
2025-03-14T04:34:36.0721367Z ``cuda_runtime.h`` includes. The ``.cpp`` and ``.cu`` files are compiled
2025-03-14T04:34:36.0721942Z separately, but ultimately linked into a single library. Note that no
2025-03-14T04:34:36.0722543Z bindings are generated for functions in ``cuda_sources`` per se. To bind
2025-03-14T04:34:36.0723137Z to a CUDA kernel, you must create a C++ function that calls it, and either
2025-03-14T04:34:36.0723749Z declare or define this C++ function in one of the ``cpp_sources`` (and
2025-03-14T04:34:36.0724215Z include its name in ``functions``).
2025-03-14T04:34:36.0724444Z 
2025-03-14T04:34:36.0724672Z The sources in ``sycl_sources`` are concatenated into a separate ``.sycl``
2025-03-14T04:34:36.0725254Z file and  prepended with ``torch/types.h``, ``sycl/sycl.hpp`` includes.
2025-03-14T04:34:36.0725844Z The ``.cpp`` and ``.sycl`` files are compiled separately, but ultimately
2025-03-14T04:34:36.0726403Z linked into a single library. Note that no bindings are generated for
2025-03-14T04:34:36.0726974Z functions in ``sycl_sources`` per se. To bind to a SYCL kernel, you must
2025-03-14T04:34:36.0727545Z create a C++ function that calls it, and either declare or define this
2025-03-14T04:34:36.0728088Z C++ function in one of the ``cpp_sources`` (and include its name
2025-03-14T04:34:36.0728512Z in ``functions``).
2025-03-14T04:34:36.0728667Z 
2025-03-14T04:34:36.0728873Z See :func:`load` for a description of arguments omitted below.
2025-03-14T04:34:36.0729210Z 
2025-03-14T04:34:36.0729318Z Args:
2025-03-14T04:34:36.0729678Z     cpp_sources: A string, or list of strings, containing C++ source code.
2025-03-14T04:34:36.0730263Z     cuda_sources: A string, or list of strings, containing CUDA source code.
2025-03-14T04:34:36.0730854Z     sycl_sources: A string, or list of strings, containing SYCL source code.
2025-03-14T04:34:36.0731429Z     functions: A list of function names for which to generate function
2025-03-14T04:34:36.0731981Z         bindings. If a dictionary is given, it should map function names to
2025-03-14T04:34:36.0732525Z         docstrings (which are otherwise just the function names).
2025-03-14T04:34:36.0733073Z     with_cuda: Determines whether CUDA headers and libraries are added to
2025-03-14T04:34:36.0733596Z         the build. If set to ``None`` (default), this value is
2025-03-14T04:34:36.0734095Z         automatically determined based on whether ``cuda_sources`` is
2025-03-14T04:34:36.0734685Z         provided. Set it to ``True`` to force CUDA headers
2025-03-14T04:34:36.0735090Z         and libraries to be included.
2025-03-14T04:34:36.0735548Z     with_sycl: Determines whether SYCL headers and libraries are added to
2025-03-14T04:34:36.0736072Z         the build. If set to ``None`` (default), this value is
2025-03-14T04:34:36.0736574Z         automatically determined based on whether ``sycl_sources`` is
2025-03-14T04:34:36.0737075Z         provided. Set it to ``True`` to force SYCL headers
2025-03-14T04:34:36.0737476Z         and libraries to be included.
2025-03-14T04:34:36.0737920Z     with_pytorch_error_handling: Determines whether pytorch error and
2025-03-14T04:34:36.0738473Z         warning macros are handled by pytorch instead of pybind. To do
2025-03-14T04:34:36.0739027Z         this, each function ``foo`` is called via an intermediary ``_safe_foo``
2025-03-14T04:34:36.0739588Z         function. This redirection might cause issues in obscure cases
2025-03-14T04:34:36.0740115Z         of cpp. This flag should be set to ``False`` when this redirect
2025-03-14T04:34:36.0740580Z         causes issues.
2025-03-14T04:34:36.0740745Z 
2025-03-14T04:34:36.0740852Z Example:
2025-03-14T04:34:36.0741147Z     >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-03-14T04:34:36.0741591Z     >>> from torch.utils.cpp_extension import load_inline
2025-03-14T04:34:36.0741978Z     >>> source = """
2025-03-14T04:34:36.0742307Z     at::Tensor sin_add(at::Tensor x, at::Tensor y) {
2025-03-14T04:34:36.0742688Z       return x.sin() + y.sin();
2025-03-14T04:34:36.0742972Z     }
2025-03-14T04:34:36.0743195Z     """
2025-03-14T04:34:36.0743476Z     >>> module = load_inline(name='inline_extension',
2025-03-14T04:34:36.0743870Z     ...                      cpp_sources=[source],
2025-03-14T04:34:36.0744243Z     ...                      functions=['sin_add'])
2025-03-14T04:34:36.0744492Z 
2025-03-14T04:34:36.0744590Z .. note::
2025-03-14T04:34:36.0744972Z     Since load_inline will just-in-time compile the source code, please ensure
2025-03-14T04:34:36.0745624Z     that you have the right toolchains installed in the runtime. For example,
2025-03-14T04:34:36.0746221Z     when loading C++, make sure a C++ compiler is available. If you're loading
2025-03-14T04:34:36.0746828Z     a CUDA extension, you will need to additionally install the corresponding CUDA
2025-03-14T04:34:36.0747472Z     toolkit (nvcc and any other dependencies your code has). Compiling toolchains
2025-03-14T04:34:36.0748165Z     are not included when you install torch and must be additionally installed.
2025-03-14T04:34:36.0748534Z 
2025-03-14T04:34:36.0748811Z     During compiling, by default, the Ninja backend uses #CPUS + 2 workers to build
2025-03-14T04:34:36.0749432Z     the extension. This may use up too many resources on some systems. One
2025-03-14T04:34:36.0750022Z     can control the number of workers by setting the `MAX_JOBS` environment
2025-03-14T04:34:36.0750510Z     variable to a non-negative number.
2025-03-14T04:34:36.0750735Z 
2025-03-14T04:34:36.0751044Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:36.0751423Z 
2025-03-14T04:34:36.2325282Z msg = Cannot scrape callname=ThroughputBenchmark in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/throughput_benchmark.py line=61.
2025-03-14T04:34:36.2326351Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:36.2326765Z 
2025-03-14T04:34:36.2327116Z This class is a wrapper around a c++ component throughput_benchmark::ThroughputBenchmark.
2025-03-14T04:34:36.2327551Z 
2025-03-14T04:34:36.2327858Z This wrapper on the throughput_benchmark::ThroughputBenchmark component is responsible
2025-03-14T04:34:36.2328553Z for executing a PyTorch module (nn.Module or ScriptModule) under an inference
2025-03-14T04:34:36.2329188Z server like load. It can emulate multiple calling threads to a single module
2025-03-14T04:34:36.2329808Z provided. In the future we plan to enhance this component to support inter and
2025-03-14T04:34:36.2330453Z intra-op parallelism as well as multiple models running in a single process.
2025-03-14T04:34:36.2330838Z 
2025-03-14T04:34:36.2331101Z Please note that even though nn.Module is supported, it might incur an overhead
2025-03-14T04:34:36.2331721Z from the need to hold GIL every time we execute Python code or pass around
2025-03-14T04:34:36.2332329Z inputs as Python objects. As soon as you have a ScriptModule version of your
2025-03-14T04:34:36.2332948Z model for inference deployment it is better to switch to using it in this
2025-03-14T04:34:36.2333418Z benchmark.
2025-03-14T04:34:36.2333550Z 
2025-03-14T04:34:36.2333658Z Example::
2025-03-14T04:34:36.2333785Z 
2025-03-14T04:34:36.2333920Z     >>> # xdoctest: +SKIP("undefined vars")
2025-03-14T04:34:36.2334309Z     >>> from torch.utils import ThroughputBenchmark
2025-03-14T04:34:36.2334716Z     >>> bench = ThroughputBenchmark(my_module)
2025-03-14T04:34:36.2335139Z     >>> # Pre-populate benchmark's data set with the inputs
2025-03-14T04:34:36.2335542Z     >>> for input in inputs:
2025-03-14T04:34:36.2336179Z     ...     # Both args and kwargs work, same as any PyTorch Module / ScriptModule
2025-03-14T04:34:36.2336677Z     ...     bench.add_input(input[0], x2=input[1])
2025-03-14T04:34:36.2337142Z     >>> # Inputs supplied above are randomly used during the execution
2025-03-14T04:34:36.2337572Z     >>> stats = bench.benchmark(
2025-03-14T04:34:36.2337927Z     ...     num_calling_threads=4,
2025-03-14T04:34:36.2338260Z     ...     num_warmup_iters = 100,
2025-03-14T04:34:36.2338586Z     ...     num_iters = 1000,
2025-03-14T04:34:36.2338878Z     ... )
2025-03-14T04:34:36.2339206Z     >>> print("Avg latency (ms): {}".format(stats.latency_avg_ms))
2025-03-14T04:34:36.2339690Z     >>> print("Number of iterations: {}".format(stats.num_iters))
2025-03-14T04:34:36.2340005Z 
2025-03-14T04:34:36.2340270Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:36.2340665Z 
2025-03-14T04:34:36.3238492Z msg = Cannot scrape callname=DistributedSampler in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/distributed.py line=18.
2025-03-14T04:34:36.3239517Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:36.3240135Z Sampler that restricts data loading to a subset of the dataset.
2025-03-14T04:34:36.3240463Z 
2025-03-14T04:34:36.3240798Z     It is especially useful in conjunction with
2025-03-14T04:34:36.3241327Z     :class:`torch.nn.parallel.DistributedDataParallel`. In such a case, each
2025-03-14T04:34:36.3241975Z     process can pass a :class:`~torch.utils.data.DistributedSampler` instance as a
2025-03-14T04:34:36.3242622Z     :class:`~torch.utils.data.DataLoader` sampler, and load a subset of the
2025-03-14T04:34:36.3243139Z     original dataset that is exclusive to it.
2025-03-14T04:34:36.3243401Z 
2025-03-14T04:34:36.3243522Z     .. note::
2025-03-14T04:34:36.3243916Z         Dataset is assumed to be of constant size and that any instance of it always
2025-03-14T04:34:36.3244513Z         returns the same elements in the same order.
2025-03-14T04:34:36.3244785Z 
2025-03-14T04:34:36.3244880Z     Args:
2025-03-14T04:34:36.3245143Z         dataset: Dataset used for sampling.
2025-03-14T04:34:36.3245614Z         num_replicas (int, optional): Number of processes participating in
2025-03-14T04:34:36.3246229Z             distributed training. By default, :attr:`world_size` is retrieved from the
2025-03-14T04:34:36.3246737Z             current distributed group.
2025-03-14T04:34:36.3247217Z         rank (int, optional): Rank of the current process within :attr:`num_replicas`.
2025-03-14T04:34:36.3247805Z             By default, :attr:`rank` is retrieved from the current distributed
2025-03-14T04:34:36.3248236Z             group.
2025-03-14T04:34:36.3248626Z         shuffle (bool, optional): If ``True`` (default), sampler will shuffle the
2025-03-14T04:34:36.3249104Z             indices.
2025-03-14T04:34:36.3249470Z         seed (int, optional): random seed used to shuffle the sampler if
2025-03-14T04:34:36.3250008Z             :attr:`shuffle=True`. This number should be identical across all
2025-03-14T04:34:36.3250520Z             processes in the distributed group. Default: ``0``.
2025-03-14T04:34:36.3251042Z         drop_last (bool, optional): if ``True``, then the sampler will drop the
2025-03-14T04:34:36.3251601Z             tail of the data to make it evenly divisible across the number of
2025-03-14T04:34:36.3252141Z             replicas. If ``False``, the sampler will add extra indices to make
2025-03-14T04:34:36.3252699Z             the data evenly divisible across the replicas. Default: ``False``.
2025-03-14T04:34:36.3253036Z 
2025-03-14T04:34:36.3253153Z     .. warning::
2025-03-14T04:34:36.3253505Z         In distributed mode, calling the :meth:`set_epoch` method at
2025-03-14T04:34:36.3254089Z         the beginning of each epoch **before** creating the :class:`DataLoader` iterator
2025-03-14T04:34:36.3254744Z         is necessary to make shuffling work properly across multiple epochs. Otherwise,
2025-03-14T04:34:36.3255371Z         the same ordering will be always used.
2025-03-14T04:34:36.3255616Z 
2025-03-14T04:34:36.3255729Z     Example::
2025-03-14T04:34:36.3255870Z 
2025-03-14T04:34:36.3255993Z         >>> # xdoctest: +SKIP
2025-03-14T04:34:36.3256419Z         >>> sampler = DistributedSampler(dataset) if is_distributed else None
2025-03-14T04:34:36.3256971Z         >>> loader = DataLoader(dataset, shuffle=(sampler is None),
2025-03-14T04:34:36.3257408Z         ...                     sampler=sampler)
2025-03-14T04:34:36.3257800Z         >>> for epoch in range(start_epoch, n_epochs):
2025-03-14T04:34:36.3258177Z         ...     if is_distributed:
2025-03-14T04:34:36.3258512Z         ...         sampler.set_epoch(epoch)
2025-03-14T04:34:36.3258854Z         ...     train(loader)
2025-03-14T04:34:36.3259139Z     
2025-03-14T04:34:36.3259530Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:36.3259981Z 
2025-03-14T04:34:36.5050762Z gathering tests
2025-03-14T04:34:36.5062213Z running 709 test(s)
2025-03-14T04:34:36.5101519Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::typename:0, line 1077 <- wrt source file
2025-03-14T04:34:36.5110212Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::typename:0
2025-03-14T04:34:36.5111575Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::is_tensor:0, line 1113 <- wrt source file
2025-03-14T04:34:36.5115304Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::is_tensor:0
2025-03-14T04:34:36.5116696Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::set_default_device:0, line 1182 <- wrt source file
2025-03-14T04:34:36.5118904Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::set_default_device:0
2025-03-14T04:34:36.5120530Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::set_default_tensor_type:0, line 1231 <- wrt source file
2025-03-14T04:34:36.5122507Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::set_default_tensor_type:0
2025-03-14T04:34:36.5123752Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::set_default_dtype:0, line 1268 <- wrt source file
2025-03-14T04:34:36.5124978Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::set_default_dtype:0
2025-03-14T04:34:36.5126843Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::use_deterministic_algorithms:0, line 1423 <- wrt source file
2025-03-14T04:34:36.5128834Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::use_deterministic_algorithms:0
2025-03-14T04:34:36.5131011Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::compile:0, line 2523 <- wrt source file
2025-03-14T04:34:36.5132492Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::compile:0
2025-03-14T04:34:36.5133753Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0, line 2785 <- wrt source file
2025-03-14T04:34:36.5135394Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0
2025-03-14T04:34:36.5136762Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_C.cpython-313-x86_64-linux-gnu.so::Generator:0, line 15 <- wrt source file
2025-03-14T04:34:36.5138143Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_C.cpython-313-x86_64-linux-gnu.so::Generator:0
2025-03-14T04:34:36.5139621Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_C.cpython-313-x86_64-linux-gnu.so::_LinAlgError:0, line 5 <- wrt source file
2025-03-14T04:34:36.5141030Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_C.cpython-313-x86_64-linux-gnu.so::_LinAlgError:0
2025-03-14T04:34:36.5142284Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_custom_ops.py::custom_op:0, line 55 <- wrt source file
2025-03-14T04:34:36.5143466Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_custom_ops.py::custom_op:0
2025-03-14T04:34:36.5144599Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_custom_ops.py::impl:0, line 137 <- wrt source file
2025-03-14T04:34:36.5145741Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_custom_ops.py::impl:0
2025-03-14T04:34:36.5146966Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_custom_ops.py::impl_abstract:0, line 206 <- wrt source file
2025-03-14T04:34:36.5769090Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_custom_ops.py::impl_abstract:0
2025-03-14T04:34:36.5770534Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_namedtensor_internals.py::update_names:0, line 118 <- wrt source file
2025-03-14T04:34:36.5771887Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_namedtensor_internals.py::update_names:0
2025-03-14T04:34:36.5773151Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.register_hook:0, line 672 <- wrt source file
2025-03-14T04:34:36.5777912Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.register_hook:0
2025-03-14T04:34:36.5779264Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0, line 729 <- wrt source file
2025-03-14T04:34:36.5795861Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0
2025-03-14T04:34:36.5797200Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.refine_names:0, line 1347 <- wrt source file
2025-03-14T04:34:36.5915373Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.refine_names:0
2025-03-14T04:34:36.5918167Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.align_to:0, line 1392 <- wrt source file
2025-03-14T04:34:36.5923355Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.align_to:0
2025-03-14T04:34:36.5924556Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.rename:0, line 1465 <- wrt source file
2025-03-14T04:34:36.5930533Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.rename:0
2025-03-14T04:34:36.5931737Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0, line 1495 <- wrt source file
2025-03-14T04:34:36.5936360Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0
2025-03-14T04:34:36.5937780Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor_str.py::set_printoptions:0, line 53 <- wrt source file
2025-03-14T04:34:36.5955870Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor_str.py::set_printoptions:0
2025-03-14T04:34:36.5957241Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::broadcast_tensors:0, line 64 <- wrt source file
2025-03-14T04:34:36.5962227Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::broadcast_tensors:0
2025-03-14T04:34:36.5963466Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::broadcast_shapes:0, line 92 <- wrt source file
2025-03-14T04:34:36.5965335Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::broadcast_shapes:0
2025-03-14T04:34:36.5966517Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::split:0, line 193 <- wrt source file
2025-03-14T04:34:36.5979765Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::split:0
2025-03-14T04:34:36.5980906Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::einsum:0, line 307 <- wrt source file
2025-03-14T04:34:36.6028632Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::einsum:0
2025-03-14T04:34:36.6029878Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::_unique_consecutive_impl:0, line 1041 <- wrt source file
2025-03-14T04:34:36.6040694Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::_unique_consecutive_impl:0
2025-03-14T04:34:36.6041950Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::tensordot:0, line 1316 <- wrt source file
2025-03-14T04:34:36.6051105Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::tensordot:0
2025-03-14T04:34:36.6052348Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::cartesian_prod:0, line 1400 <- wrt source file
2025-03-14T04:34:36.6057834Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::cartesian_prod:0
2025-03-14T04:34:36.6059167Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::block_diag:0, line 1434 <- wrt source file
2025-03-14T04:34:36.6066271Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::block_diag:0
2025-03-14T04:34:36.6067600Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::cdist:0, line 1485 <- wrt source file
2025-03-14T04:34:36.6079744Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::cdist:0
2025-03-14T04:34:36.6080904Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::atleast_1d:0, line 1526 <- wrt source file
2025-03-14T04:34:36.6095261Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::atleast_1d:0
2025-03-14T04:34:36.6096448Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::atleast_2d:0, line 1562 <- wrt source file
2025-03-14T04:34:36.6111215Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::atleast_2d:0
2025-03-14T04:34:36.6112396Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::atleast_3d:0, line 1600 <- wrt source file
2025-03-14T04:34:36.6131567Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::atleast_3d:0
2025-03-14T04:34:36.6132712Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::norm:0, line 1773 <- wrt source file
2025-03-14T04:34:36.6162500Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::norm:0
2025-03-14T04:34:36.6163777Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::unravel_index:0, line 1940 <- wrt source file
2025-03-14T04:34:36.6188201Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::unravel_index:0
2025-03-14T04:34:36.6189801Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::chain_matmul:0, line 2040 <- wrt source file
2025-03-14T04:34:36.6192093Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::chain_matmul:0
2025-03-14T04:34:36.6193265Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::_lu_impl:0, line 2140 <- wrt source file
2025-03-14T04:34:36.6194443Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::_lu_impl:0
2025-03-14T04:34:36.6195728Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py::list:0, line 468 <- wrt source file
2025-03-14T04:34:36.6196975Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py::list:0
2025-03-14T04:34:36.6198014Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py::help:0, line 528 <- wrt source file
2025-03-14T04:34:36.6199088Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py::help:0
2025-03-14T04:34:36.6200698Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::Library.define:0, line 151 <- wrt source file
2025-03-14T04:34:36.6201912Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::Library.define:0
2025-03-14T04:34:36.6203178Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::Library._impl_with_aoti_compile:0, line 251 <- wrt source file
2025-03-14T04:34:36.6208894Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::Library._impl_with_aoti_compile:0
2025-03-14T04:34:36.6210232Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::Library.impl:0, line 306 <- wrt source file
2025-03-14T04:34:36.6213139Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::Library.impl:0
2025-03-14T04:34:36.6214287Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::define:0, line 499 <- wrt source file
2025-03-14T04:34:36.6229084Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::define:0
2025-03-14T04:34:36.6230178Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::impl:0, line 605 <- wrt source file
2025-03-14T04:34:36.6245909Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::impl:0
2025-03-14T04:34:36.6247351Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::register_kernel:0, line 786 <- wrt source file
2025-03-14T04:34:36.6248574Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::register_kernel:0
2025-03-14T04:34:36.6249767Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::register_autocast:0, line 854 <- wrt source file
2025-03-14T04:34:36.6250992Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::register_autocast:0
2025-03-14T04:34:36.6252231Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::register_torch_dispatch:0, line 1190 <- wrt source file
2025-03-14T04:34:36.6348010Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::register_torch_dispatch:0
2025-03-14T04:34:36.6349348Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::register_vmap:0, line 1279 <- wrt source file
2025-03-14T04:34:36.6507379Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::register_vmap:0
2025-03-14T04:34:36.6508613Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::get_ignored_functions:0, line 112 <- wrt source file
2025-03-14T04:34:36.6513449Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::get_ignored_functions:0
2025-03-14T04:34:36.6514721Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::get_testing_overrides:0, line 418 <- wrt source file
2025-03-14T04:34:36.6544513Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::get_testing_overrides:0
2025-03-14T04:34:36.6545793Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::wrap_torch_function:0, line 1571 <- wrt source file
2025-03-14T04:34:36.6547577Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::wrap_torch_function:0
2025-03-14T04:34:36.6548838Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::handle_torch_function:0, line 1706 <- wrt source file
2025-03-14T04:34:36.6550603Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::handle_torch_function:0
2025-03-14T04:34:36.6551924Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::is_tensor_method_or_property:0, line 1954 <- wrt source file
2025-03-14T04:34:36.6580067Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::is_tensor_method_or_property:0
2025-03-14T04:34:36.6581381Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::is_tensor_like:0, line 1973 <- wrt source file
2025-03-14T04:34:36.6586827Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::is_tensor_like:0
2025-03-14T04:34:36.6588575Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/quasirandom.py::SobolEngine:0, line 39 <- wrt source file
2025-03-14T04:34:36.6589933Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/quasirandom.py::SobolEngine:0
2025-03-14T04:34:36.6591541Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py::add_safe_globals:0, line 299 <- wrt source file
2025-03-14T04:34:36.6592823Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py::add_safe_globals:0
2025-03-14T04:34:36.6594116Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py::safe_globals:0, line 324 <- wrt source file
2025-03-14T04:34:36.6596303Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py::safe_globals:0
2025-03-14T04:34:36.6597772Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py::skip_data:0, line 400 <- wrt source file
2025-03-14T04:34:36.6599132Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py::skip_data:0
2025-03-14T04:34:36.6600648Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py::register_package:0, line 472 <- wrt source file
2025-03-14T04:34:36.6601936Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py::register_package:0
2025-03-14T04:34:36.6603137Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py::save:0, line 948 <- wrt source file
2025-03-14T04:34:36.6604403Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py::save:0
2025-03-14T04:34:36.6605594Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/torch_version.py::TorchVersion:0, line 19 <- wrt source file
2025-03-14T04:34:36.6606837Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/torch_version.py::TorchVersion:0
2025-03-14T04:34:36.6608094Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/__init__.py::list_mode_options:0, line 306 <- wrt source file
2025-03-14T04:34:36.6609416Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/__init__.py::list_mode_options:0
2025-03-14T04:34:36.6611097Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/__init__.py::list_options:0, line 343 <- wrt source file
2025-03-14T04:34:36.6612369Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/__init__.py::list_options:0
2025-03-14T04:34:36.6613800Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_prims_common/__init__.py::compute_required_storage_length:0, line 1793 <- wrt source file
2025-03-14T04:34:36.6615912Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_prims_common/__init__.py::compute_required_storage_length:0
2025-03-14T04:34:36.6617353Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/accelerator/__init__.py::current_accelerator:0, line 79 <- wrt source file
2025-03-14T04:34:36.6621165Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/accelerator/__init__.py::current_accelerator:0
2025-03-14T04:34:36.6622896Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::allow_in_graph:0, line 117 <- wrt source file
2025-03-14T04:34:36.6624247Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::allow_in_graph:0
2025-03-14T04:34:36.6625549Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::substitute_in_graph:0, line 171 <- wrt source file
2025-03-14T04:34:36.7103743Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::substitute_in_graph:0
2025-03-14T04:34:36.7105037Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::wrap_numpy:0, line 357 <- wrt source file
2025-03-14T04:34:36.7106578Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::wrap_numpy:0
2025-03-14T04:34:36.7107815Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::is_compiling:0, line 389 <- wrt source file
2025-03-14T04:34:36.7109188Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::is_compiling:0
2025-03-14T04:34:36.7110470Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0, line 410 <- wrt source file
2025-03-14T04:34:36.7111867Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0
2025-03-14T04:34:36.7113712Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::is_exporting:0, line 428 <- wrt source file
2025-03-14T04:34:36.7115493Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::is_exporting:0
2025-03-14T04:34:36.7117911Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0, line 443 <- wrt source file
2025-03-14T04:34:36.7120295Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0
2025-03-14T04:34:36.7122346Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0, line 458 <- wrt source file
2025-03-14T04:34:36.7124594Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0
2025-03-14T04:34:36.7125844Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/export/__init__.py::save:0, line 406 <- wrt source file
2025-03-14T04:34:36.7127016Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/export/__init__.py::save:0
2025-03-14T04:34:36.7128160Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/export/__init__.py::load:0, line 488 <- wrt source file
2025-03-14T04:34:36.7129402Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/export/__init__.py::load:0
2025-03-14T04:34:36.7130627Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/export/__init__.py::register_dataclass:0, line 586 <- wrt source file
2025-03-14T04:34:36.7131941Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/export/__init__.py::register_dataclass:0
2025-03-14T04:34:36.7133310Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/futures/__init__.py::Future.add_done_callback:0, line 200 <- wrt source file
2025-03-14T04:34:36.7134690Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/futures/__init__.py::Future.add_done_callback:0
2025-03-14T04:34:36.7136020Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/futures/__init__.py::Future.set_exception:0, line 262 <- wrt source file
2025-03-14T04:34:36.7137415Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/futures/__init__.py::Future.set_exception:0
2025-03-14T04:34:36.7138680Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/futures/__init__.py::collect_all:0, line 295 <- wrt source file
2025-03-14T04:34:36.7139923Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/futures/__init__.py::collect_all:0
2025-03-14T04:34:36.7141100Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/jit/__init__.py::annotate:0, line 147 <- wrt source file
2025-03-14T04:34:36.7142270Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/jit/__init__.py::annotate:0
2025-03-14T04:34:36.7143530Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0, line 22 <- wrt source file
2025-03-14T04:34:36.7152669Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0
2025-03-14T04:34:36.7153985Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nested/__init__.py::as_nested_tensor:0, line 61 <- wrt source file
2025-03-14T04:34:36.7174713Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nested/__init__.py::as_nested_tensor:0
2025-03-14T04:34:36.7177004Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nested/__init__.py::nested_tensor:0, line 240 <- wrt source file
2025-03-14T04:34:36.7179288Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nested/__init__.py::nested_tensor:0
2025-03-14T04:34:36.7181458Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nested/__init__.py::narrow:0, line 315 <- wrt source file
2025-03-14T04:34:36.7228064Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nested/__init__.py::narrow:0
2025-03-14T04:34:36.7230406Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0, line 405 <- wrt source file
2025-03-14T04:34:36.7247019Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0
2025-03-14T04:34:36.7249385Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nested/__init__.py::masked_select:0, line 479 <- wrt source file
2025-03-14T04:34:36.7263633Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nested/__init__.py::masked_select:0
2025-03-14T04:34:36.7266045Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0, line 475 <- wrt source file
2025-03-14T04:34:36.7287887Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0
2025-03-14T04:34:36.7290472Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0, line 561 <- wrt source file
2025-03-14T04:34:36.7344464Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0
2025-03-14T04:34:36.7347074Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0, line 317 <- wrt source file
2025-03-14T04:34:36.7349685Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0
2025-03-14T04:34:36.7352366Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0, line 321 <- wrt source file
2025-03-14T04:34:36.7355360Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0
2025-03-14T04:34:36.7358115Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0, line 1233 <- wrt source file
2025-03-14T04:34:36.7360887Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0
2025-03-14T04:34:36.7363486Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/aot_autograd.py::aot_function:0, line 886 <- wrt source file
2025-03-14T04:34:36.7611738Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/aot_autograd.py::aot_function:0
2025-03-14T04:34:36.7614127Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/apis.py::grad:0, line 323 <- wrt source file
2025-03-14T04:34:36.7616305Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/apis.py::grad:0
2025-03-14T04:34:36.7618713Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0, line 184 <- wrt source file
2025-03-14T04:34:36.7621411Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0
2025-03-14T04:34:36.7623879Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::vjp:0, line 232 <- wrt source file
2025-03-14T04:34:36.7651213Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::vjp:0
2025-03-14T04:34:36.7653712Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::jacrev:0, line 474 <- wrt source file
2025-03-14T04:34:36.7708671Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::jacrev:0
2025-03-14T04:34:36.7711030Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::jvp:0, line 1023 <- wrt source file
2025-03-14T04:34:36.8169225Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::jvp:0
2025-03-14T04:34:36.8171619Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0, line 1181 <- wrt source file
2025-03-14T04:34:36.8232751Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0
2025-03-14T04:34:36.8235168Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::hessian:0, line 1341 <- wrt source file
2025-03-14T04:34:36.8250409Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::hessian:0
2025-03-14T04:34:36.8252894Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::functionalize:0, line 1505 <- wrt source file
2025-03-14T04:34:36.8255563Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::functionalize:0
2025-03-14T04:34:36.8258031Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::linearize:0, line 1704 <- wrt source file
2025-03-14T04:34:36.8398515Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::linearize:0
2025-03-14T04:34:36.8401029Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/functional_call.py::functional_call:0, line 36 <- wrt source file
2025-03-14T04:34:36.8403805Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/functional_call.py::functional_call:0
2025-03-14T04:34:36.8406400Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/fx_minifier.py::minifier:0, line 194 <- wrt source file
2025-03-14T04:34:36.8408764Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/fx_minifier.py::minifier:0
2025-03-14T04:34:36.8411491Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py::CompilerWrapper.post_compile:0, line 115 <- wrt source file
2025-03-14T04:34:36.8414606Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py::CompilerWrapper.post_compile:0
2025-03-14T04:34:36.8417462Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0, line 128 <- wrt source file
2025-03-14T04:34:36.8420188Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0
2025-03-14T04:34:36.8422943Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0, line 270 <- wrt source file
2025-03-14T04:34:36.8425809Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0
2025-03-14T04:34:36.8428290Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/cond.py::cond:0, line 110 <- wrt source file
2025-03-14T04:34:36.8430551Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/cond.py::cond:0
2025-03-14T04:34:36.8433022Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/flat_apply.py::FlatApply.__call__:0, line 80 <- wrt source file
2025-03-14T04:34:36.8435717Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/flat_apply.py::FlatApply.__call__:0
2025-03-14T04:34:36.8438097Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/scan.py::scan:0, line 94 <- wrt source file
2025-03-14T04:34:36.8440354Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/scan.py::scan:0
2025-03-14T04:34:36.8442879Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/cpp_builder.py::get_name_and_dir_from_output_file_path:0, line 1351 <- wrt source file
2025-03-14T04:34:36.8445726Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/cpp_builder.py::get_name_and_dir_from_output_file_path:0
2025-03-14T04:34:36.8448323Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::custom_op:0, line 99 <- wrt source file
2025-03-14T04:34:36.8740345Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::custom_op:0
2025-03-14T04:34:36.8743026Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0, line 230 <- wrt source file
2025-03-14T04:34:36.8821215Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0
2025-03-14T04:34:36.8823886Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0, line 299 <- wrt source file
2025-03-14T04:34:36.8826581Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0
2025-03-14T04:34:36.8829308Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_fake:0, line 405 <- wrt source file
2025-03-14T04:34:36.8897149Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_fake:0
2025-03-14T04:34:36.8899799Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0, line 532 <- wrt source file
2025-03-14T04:34:36.9054690Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0
2025-03-14T04:34:36.9057318Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0, line 704 <- wrt source file
2025-03-14T04:34:36.9209943Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0
2025-03-14T04:34:36.9212601Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0, line 790 <- wrt source file
2025-03-14T04:34:36.9215325Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0
2025-03-14T04:34:36.9217971Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0, line 197 <- wrt source file
2025-03-14T04:34:36.9220634Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0
2025-03-14T04:34:36.9223400Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0, line 161 <- wrt source file
2025-03-14T04:34:36.9284432Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0
2025-03-14T04:34:36.9285808Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/infer_schema.py::infer_schema:0, line 51 <- wrt source file
2025-03-14T04:34:36.9290340Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/infer_schema.py::infer_schema:0
2025-03-14T04:34:36.9291609Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_logging/_internal.py::set_logs:0, line 442 <- wrt source file
2025-03-14T04:34:36.9292852Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_logging/_internal.py::set_logs:0
2025-03-14T04:34:36.9294111Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_equal:0, line 170 <- wrt source file
2025-03-14T04:34:36.9347135Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_equal:0
2025-03-14T04:34:36.9348637Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::print_assert_equal:0, line 301 <- wrt source file
2025-03-14T04:34:36.9350025Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::print_assert_equal:0
2025-03-14T04:34:36.9351355Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0, line 992 <- wrt source file
2025-03-14T04:34:36.9396569Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0
2025-03-14T04:34:36.9397939Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0, line 1057 <- wrt source file
2025-03-14T04:34:36.9399439Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0
2025-03-14T04:34:36.9400778Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0, line 1278 <- wrt source file
2025-03-14T04:34:36.9415321Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0
2025-03-14T04:34:36.9416717Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0, line 1344 <- wrt source file
2025-03-14T04:34:36.9419308Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0
2025-03-14T04:34:36.9420728Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0, line 1407 <- wrt source file
2025-03-14T04:34:36.9424170Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0
2025-03-14T04:34:36.9425495Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0, line 1452 <- wrt source file
2025-03-14T04:34:36.9426781Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0
2025-03-14T04:34:36.9428055Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_warns:0, line 1562 <- wrt source file
2025-03-14T04:34:36.9430029Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_warns:0
2025-03-14T04:34:36.9431715Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_prims/context.py::TorchRefsMode:0, line 86 <- wrt source file
2025-03-14T04:34:36.9433548Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_prims/context.py::TorchRefsMode:0
2025-03-14T04:34:36.9435367Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/amp/grad_scaler.py::GradScaler:0, line 64 <- wrt source file
2025-03-14T04:34:36.9436870Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/amp/grad_scaler.py::GradScaler:0
2025-03-14T04:34:36.9438313Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0, line 23 <- wrt source file
2025-03-14T04:34:36.9439877Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0
2025-03-14T04:34:36.9441590Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0, line 22 <- wrt source file
2025-03-14T04:34:36.9443314Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0
2025-03-14T04:34:36.9445034Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0, line 25 <- wrt source file
2025-03-14T04:34:36.9446668Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0
2025-03-14T04:34:36.9448290Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0, line 66 <- wrt source file
2025-03-14T04:34:36.9450019Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0
2025-03-14T04:34:36.9451643Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0, line 140 <- wrt source file
2025-03-14T04:34:36.9453272Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0
2025-03-14T04:34:36.9454751Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0, line 30 <- wrt source file
2025-03-14T04:34:36.9459134Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0
2025-03-14T04:34:36.9460795Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0, line 410 <- wrt source file
2025-03-14T04:34:36.9491472Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0
2025-03-14T04:34:36.9494249Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0, line 210 <- wrt source file
2025-03-14T04:34:36.9495969Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0
2025-03-14T04:34:36.9497390Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0, line 282 <- wrt source file
2025-03-14T04:34:36.9498727Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0
2025-03-14T04:34:36.9500151Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0, line 358 <- wrt source file
2025-03-14T04:34:36.9501794Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0
2025-03-14T04:34:36.9503143Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0, line 95 <- wrt source file
2025-03-14T04:34:36.9504554Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0
2025-03-14T04:34:36.9506221Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0, line 145 <- wrt source file
2025-03-14T04:34:36.9508297Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0
2025-03-14T04:34:36.9510153Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0, line 43 <- wrt source file
2025-03-14T04:34:36.9512268Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0
2025-03-14T04:34:36.9514380Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0, line 124 <- wrt source file
2025-03-14T04:34:36.9516161Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0
2025-03-14T04:34:36.9517598Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0, line 208 <- wrt source file
2025-03-14T04:34:36.9519436Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0
2025-03-14T04:34:36.9521750Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0, line 294 <- wrt source file
2025-03-14T04:34:36.9523763Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0
2025-03-14T04:34:36.9525323Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0, line 376 <- wrt source file
2025-03-14T04:34:36.9526904Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0
2025-03-14T04:34:36.9528501Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0, line 458 <- wrt source file
2025-03-14T04:34:36.9530138Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0
2025-03-14T04:34:36.9531650Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0, line 30 <- wrt source file
2025-03-14T04:34:36.9533213Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0
2025-03-14T04:34:36.9534730Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0, line 516 <- wrt source file
2025-03-14T04:34:36.9536231Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0
2025-03-14T04:34:36.9537628Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0, line 801 <- wrt source file
2025-03-14T04:34:36.9539164Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0
2025-03-14T04:34:36.9540599Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0, line 1203 <- wrt source file
2025-03-14T04:34:36.9542073Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0
2025-03-14T04:34:36.9543576Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0, line 1269 <- wrt source file
2025-03-14T04:34:36.9545110Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0
2025-03-14T04:34:36.9546548Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0, line 1322 <- wrt source file
2025-03-14T04:34:36.9548539Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0
2025-03-14T04:34:36.9550173Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0, line 36 <- wrt source file
2025-03-14T04:34:36.9551646Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0
2025-03-14T04:34:36.9553025Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0, line 505 <- wrt source file
2025-03-14T04:34:36.9554389Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0
2025-03-14T04:34:36.9555821Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0, line 634 <- wrt source file
2025-03-14T04:34:36.9557313Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0
2025-03-14T04:34:36.9559403Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0, line 890 <- wrt source file
2025-03-14T04:34:36.9560891Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0
2025-03-14T04:34:36.9562377Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0, line 1012 <- wrt source file
2025-03-14T04:34:36.9564502Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0
2025-03-14T04:34:36.9565992Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0, line 1138 <- wrt source file
2025-03-14T04:34:36.9568372Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0
2025-03-14T04:34:36.9570557Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0, line 112 <- wrt source file
2025-03-14T04:34:36.9572083Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0
2025-03-14T04:34:36.9573582Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0, line 275 <- wrt source file
2025-03-14T04:34:36.9575147Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0
2025-03-14T04:34:36.9577239Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0, line 23 <- wrt source file
2025-03-14T04:34:36.9578901Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0
2025-03-14T04:34:36.9580488Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0, line 176 <- wrt source file
2025-03-14T04:34:36.9582210Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0
2025-03-14T04:34:36.9583683Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0, line 138 <- wrt source file
2025-03-14T04:34:36.9585077Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0
2025-03-14T04:34:36.9586809Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py::ActivationSparsifier:0, line 62 <- wrt source file
2025-03-14T04:34:36.9588899Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py::ActivationSparsifier:0
2025-03-14T04:34:36.9590840Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py::BaseDataScheduler.get_schedule_param:0, line 98 <- wrt source file
2025-03-14T04:34:36.9729260Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py::BaseDataScheduler.get_schedule_param:0
2025-03-14T04:34:36.9731982Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0, line 55 <- wrt source file
2025-03-14T04:34:36.9744933Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0
2025-03-14T04:34:36.9746624Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0, line 22 <- wrt source file
2025-03-14T04:34:36.9748146Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0
2025-03-14T04:34:36.9749831Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0, line 47 <- wrt source file
2025-03-14T04:34:36.9751849Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0
2025-03-14T04:34:36.9753307Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0, line 176 <- wrt source file
2025-03-14T04:34:36.9754778Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0
2025-03-14T04:34:36.9757190Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0, line 31 <- wrt source file
2025-03-14T04:34:36.9758724Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0
2025-03-14T04:34:36.9760232Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0, line 76 <- wrt source file
2025-03-14T04:34:36.9762333Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0
2025-03-14T04:34:36.9764789Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0, line 130 <- wrt source file
2025-03-14T04:34:36.9767095Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0
2025-03-14T04:34:36.9769282Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0, line 163 <- wrt source file
2025-03-14T04:34:36.9771439Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0
2025-03-14T04:34:36.9774305Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/observer.py::_with_args:0, line 108 <- wrt source file
2025-03-14T04:34:36.9776877Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/observer.py::_with_args:0
2025-03-14T04:34:36.9779476Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0, line 130 <- wrt source file
2025-03-14T04:34:36.9782233Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0
2025-03-14T04:34:36.9783993Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0, line 218 <- wrt source file
2025-03-14T04:34:36.9785762Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0
2025-03-14T04:34:36.9788002Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0, line 286 <- wrt source file
2025-03-14T04:34:36.9790129Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0
2025-03-14T04:34:36.9792262Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0, line 424 <- wrt source file
2025-03-14T04:34:36.9793976Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0
2025-03-14T04:34:36.9796143Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0, line 598 <- wrt source file
2025-03-14T04:34:36.9798610Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0
2025-03-14T04:34:36.9800899Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0, line 658 <- wrt source file
2025-03-14T04:34:36.9803020Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0
2025-03-14T04:34:36.9805617Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0, line 710 <- wrt source file
2025-03-14T04:34:36.9808395Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0
2025-03-14T04:34:36.9809985Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0, line 47 <- wrt source file
2025-03-14T04:34:36.9811495Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0
2025-03-14T04:34:36.9812925Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0, line 125 <- wrt source file
2025-03-14T04:34:36.9815418Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0
2025-03-14T04:34:36.9818153Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0, line 222 <- wrt source file
2025-03-14T04:34:36.9820648Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0
2025-03-14T04:34:36.9822437Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0, line 145 <- wrt source file
2025-03-14T04:34:36.9824182Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0
2025-03-14T04:34:36.9825661Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0, line 517 <- wrt source file
2025-03-14T04:34:36.9827512Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0
2025-03-14T04:34:36.9829313Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0, line 539 <- wrt source file
2025-03-14T04:34:36.9831064Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0
2025-03-14T04:34:36.9832681Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0, line 553 <- wrt source file
2025-03-14T04:34:36.9834959Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0
2025-03-14T04:34:36.9836638Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0, line 575 <- wrt source file
2025-03-14T04:34:36.9838227Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0
2025-03-14T04:34:36.9839591Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0, line 702 <- wrt source file
2025-03-14T04:34:36.9840972Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0
2025-03-14T04:34:36.9843126Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/backend_config/onednn.py::_fuse_linear_bn_leaky_relu:0, line 85 <- wrt source file
2025-03-14T04:34:36.9845285Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/backend_config/onednn.py::_fuse_linear_bn_leaky_relu:0
2025-03-14T04:34:36.9846893Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fx/_model_report/model_report.py::ModelReport:0, line 84 <- wrt source file
2025-03-14T04:34:36.9848475Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fx/_model_report/model_report.py::ModelReport:0
2025-03-14T04:34:36.9850057Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_get_reduction_params:0, line 102 <- wrt source file
2025-03-14T04:34:36.9851756Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_get_reduction_params:0
2025-03-14T04:34:36.9853374Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_register_custom_op:0, line 148 <- wrt source file
2025-03-14T04:34:36.9855002Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_register_custom_op:0
2025-03-14T04:34:36.9856578Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/pt2e/prepare.py::_get_edge_or_node_to_group_id:0, line 188 <- wrt source file
2025-03-14T04:34:36.9858881Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/pt2e/prepare.py::_get_edge_or_node_to_group_id:0
2025-03-14T04:34:36.9860609Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0, line 430 <- wrt source file
2025-03-14T04:34:36.9862332Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0
2025-03-14T04:34:36.9863807Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/anomaly_mode.py::detect_anomaly:0, line 27 <- wrt source file
2025-03-14T04:34:36.9865177Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/anomaly_mode.py::detect_anomaly:0
2025-03-14T04:34:36.9866453Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/forward_ad.py::make_dual:0, line 83 <- wrt source file
2025-03-14T04:34:36.9867881Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/forward_ad.py::make_dual:0
2025-03-14T04:34:36.9869139Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/forward_ad.py::unpack_dual:0, line 153 <- wrt source file
2025-03-14T04:34:36.9870516Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/forward_ad.py::unpack_dual:0
2025-03-14T04:34:36.9871788Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/forward_ad.py::dual_level:0, line 189 <- wrt source file
2025-03-14T04:34:36.9873712Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/forward_ad.py::dual_level:0
2025-03-14T04:34:36.9876163Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/function.py::FunctionCtx.save_for_backward:0, line 66 <- wrt source file
2025-03-14T04:34:36.9877667Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/function.py::FunctionCtx.save_for_backward:0
2025-03-14T04:34:36.9879115Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/function.py::FunctionCtx.save_for_forward:0, line 109 <- wrt source file
2025-03-14T04:34:36.9880584Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/function.py::FunctionCtx.save_for_forward:0
2025-03-14T04:34:36.9881990Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/function.py::FunctionCtx.mark_dirty:0, line 160 <- wrt source file
2025-03-14T04:34:36.9883391Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/function.py::FunctionCtx.mark_dirty:0
2025-03-14T04:34:36.9885274Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0, line 207 <- wrt source file
2025-03-14T04:34:36.9886824Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0
2025-03-14T04:34:36.9888853Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/function.py::FunctionCtx.set_materialize_grads:0, line 236 <- wrt source file
2025-03-14T04:34:36.9890392Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/function.py::FunctionCtx.set_materialize_grads:0
2025-03-14T04:34:36.9891756Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/function.py::Function:0, line 479 <- wrt source file
2025-03-14T04:34:36.9893007Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/function.py::Function:0
2025-03-14T04:34:36.9894233Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/functional.py::vjp:0, line 293 <- wrt source file
2025-03-14T04:34:36.9895464Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/functional.py::vjp:0
2025-03-14T04:34:36.9896714Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/functional.py::jvp:0, line 395 <- wrt source file
2025-03-14T04:34:36.9897937Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/functional.py::jvp:0
2025-03-14T04:34:36.9899228Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/functional.py::jacobian:0, line 630 <- wrt source file
2025-03-14T04:34:36.9900510Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/functional.py::jacobian:0
2025-03-14T04:34:36.9901761Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/functional.py::hessian:0, line 884 <- wrt source file
2025-03-14T04:34:36.9903025Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/functional.py::hessian:0
2025-03-14T04:34:36.9904679Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/functional.py::vhp:0, line 1000 <- wrt source file
2025-03-14T04:34:36.9906497Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/functional.py::vhp:0
2025-03-14T04:34:36.9908804Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/functional.py::hvp:0, line 1099 <- wrt source file
2025-03-14T04:34:36.9911141Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/functional.py::hvp:0
2025-03-14T04:34:36.9913386Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/grad_mode.py::no_grad:0, line 50 <- wrt source file
2025-03-14T04:34:36.9915754Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/grad_mode.py::no_grad:0
2025-03-14T04:34:36.9918081Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/grad_mode.py::enable_grad:0, line 108 <- wrt source file
2025-03-14T04:34:36.9920521Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/grad_mode.py::enable_grad:0
2025-03-14T04:34:36.9922956Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/grad_mode.py::set_grad_enabled:0, line 166 <- wrt source file
2025-03-14T04:34:36.9925492Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/grad_mode.py::set_grad_enabled:0
2025-03-14T04:34:36.9927979Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/grad_mode.py::inference_mode:0, line 232 <- wrt source file
2025-03-14T04:34:36.9930462Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/grad_mode.py::inference_mode:0
2025-03-14T04:34:36.9932825Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::Node.name:0, line 53 <- wrt source file
2025-03-14T04:34:36.9935455Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::Node.name:0
2025-03-14T04:34:36.9937839Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::Node.register_hook:0, line 110 <- wrt source file
2025-03-14T04:34:36.9940130Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::Node.register_hook:0
2025-03-14T04:34:36.9941441Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::Node.register_prehook:0, line 147 <- wrt source file
2025-03-14T04:34:36.9942792Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::Node.register_prehook:0
2025-03-14T04:34:36.9944104Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0, line 271 <- wrt source file
2025-03-14T04:34:36.9945477Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0
2025-03-14T04:34:36.9946730Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::save_on_cpu:0, line 336 <- wrt source file
2025-03-14T04:34:36.9947985Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::save_on_cpu:0
2025-03-14T04:34:36.9949286Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::disable_saved_tensors_hooks:0, line 393 <- wrt source file
2025-03-14T04:34:36.9950687Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::disable_saved_tensors_hooks:0
2025-03-14T04:34:36.9952046Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::register_multi_grad_hook:0, line 470 <- wrt source file
2025-03-14T04:34:36.9953457Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::register_multi_grad_hook:0
2025-03-14T04:34:36.9954841Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0, line 736 <- wrt source file
2025-03-14T04:34:36.9956348Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0
2025-03-14T04:34:36.9957670Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/profiler.py::profile:0, line 178 <- wrt source file
2025-03-14T04:34:36.9959735Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/profiler.py::profile:0
2025-03-14T04:34:36.9962122Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/profiler.py::record_function:0, line 733 <- wrt source file
2025-03-14T04:34:36.9964474Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/profiler.py::record_function:0
2025-03-14T04:34:36.9966158Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/profiler.py::emit_itt:0, line 867 <- wrt source file
2025-03-14T04:34:36.9968542Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/profiler.py::emit_itt:0
2025-03-14T04:34:36.9970845Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/profiler.py::emit_nvtx:0, line 940 <- wrt source file
2025-03-14T04:34:36.9973231Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/profiler.py::emit_nvtx:0
2025-03-14T04:34:36.9974630Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/gds.py::gds_register_buffer:0, line 42 <- wrt source file
2025-03-14T04:34:36.9976261Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/gds.py::gds_register_buffer:0
2025-03-14T04:34:36.9978066Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/gds.py::gds_deregister_buffer:0, line 58 <- wrt source file
2025-03-14T04:34:36.9979407Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/gds.py::gds_deregister_buffer:0
2025-03-14T04:34:36.9980689Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/gds.py::GdsFile:0, line 85 <- wrt source file
2025-03-14T04:34:36.9981891Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/gds.py::GdsFile:0
2025-03-14T04:34:36.9983126Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/jiterator.py::_create_jit_fn:0, line 114 <- wrt source file
2025-03-14T04:34:36.9984469Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/jiterator.py::_create_jit_fn:0
2025-03-14T04:34:36.9985855Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/jiterator.py::_create_jit_fn:1, line 125 <- wrt source file
2025-03-14T04:34:36.9987631Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/jiterator.py::_create_jit_fn:1
2025-03-14T04:34:36.9989441Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2, line 138 <- wrt source file
2025-03-14T04:34:36.9991251Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2
2025-03-14T04:34:36.9992692Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0, line 171 <- wrt source file
2025-03-14T04:34:36.9994735Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0
2025-03-14T04:34:36.9996572Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/profiler.py::profile:0, line 75 <- wrt source file
2025-03-14T04:34:36.9997978Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/profiler.py::profile:0
2025-03-14T04:34:36.9999242Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/device_mesh.py::DeviceMesh:0, line 415 <- wrt source file
2025-03-14T04:34:37.0000726Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/device_mesh.py::DeviceMesh:0
2025-03-14T04:34:37.0002124Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/device_mesh.py::DeviceMesh.get_local_rank:0, line 931 <- wrt source file
2025-03-14T04:34:37.0003765Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/device_mesh.py::DeviceMesh.get_local_rank:0
2025-03-14T04:34:37.0005323Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/device_mesh.py::init_device_mesh:0, line 1013 <- wrt source file
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2025-03-14T04:34:37.0008551Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::_coalescing_manager:0, line 2523 <- wrt source file
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2025-03-14T04:34:37.0013555Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::all_gather_object:0, line 3035 <- wrt source file
2025-03-14T04:34:37.0015456Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::all_gather_object:0
2025-03-14T04:34:37.0016902Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::send_object_list:0, line 3256 <- wrt source file
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2025-03-14T04:34:37.0020140Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::recv_object_list:0, line 3354 <- wrt source file
2025-03-14T04:34:37.0021598Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::recv_object_list:0
2025-03-14T04:34:37.0023057Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::broadcast_object_list:0, line 3464 <- wrt source file
2025-03-14T04:34:37.0024983Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::broadcast_object_list:0
2025-03-14T04:34:37.0026531Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::scatter_object_list:0, line 3583 <- wrt source file
2025-03-14T04:34:37.0028032Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::scatter_object_list:0
2025-03-14T04:34:37.0029508Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::all_gather_into_tensor:0, line 3792 <- wrt source file
2025-03-14T04:34:37.0031419Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::all_gather_into_tensor:0
2025-03-14T04:34:37.0032981Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::all_gather_coalesced:0, line 3934 <- wrt source file
2025-03-14T04:34:37.0034699Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::all_gather_coalesced:0
2025-03-14T04:34:37.0036596Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::gather:0, line 4040 <- wrt source file
2025-03-14T04:34:37.0037974Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::gather:0
2025-03-14T04:34:37.0039316Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::scatter:0, line 4126 <- wrt source file
2025-03-14T04:34:37.0041083Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::scatter:0
2025-03-14T04:34:37.0042525Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::reduce_scatter_tensor:0, line 4265 <- wrt source file
2025-03-14T04:34:37.0044048Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::reduce_scatter_tensor:0
2025-03-14T04:34:37.0045820Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::monitored_barrier:0, line 4732 <- wrt source file
2025-03-14T04:34:37.0047361Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::monitored_barrier:0
2025-03-14T04:34:37.0048790Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::new_subgroups:0, line 5310 <- wrt source file
2025-03-14T04:34:37.0050290Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::new_subgroups:0
2025-03-14T04:34:37.0052687Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::new_subgroups_by_enumeration:0, line 5412 <- wrt source file
2025-03-14T04:34:37.0054316Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::new_subgroups_by_enumeration:0
2025-03-14T04:34:37.0055677Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/run.py::__doc__:0, line 57 <- wrt source file
2025-03-14T04:34:37.0056878Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/run.py::__doc__:0
2025-03-14T04:34:37.0058144Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/autograd/__init__.py::context:0, line 39 <- wrt source file
2025-03-14T04:34:37.0059657Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/autograd/__init__.py::context:0
2025-03-14T04:34:37.0061317Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_composable/checkpoint_activation.py::checkpoint:0, line 53 <- wrt source file
2025-03-14T04:34:37.0062966Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_composable/checkpoint_activation.py::checkpoint:0
2025-03-14T04:34:37.0064434Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_composable/contract.py::contract:0, line 66 <- wrt source file
2025-03-14T04:34:37.0066197Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_composable/contract.py::contract:0
2025-03-14T04:34:37.0067786Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_composable/replicate.py::replicate:0, line 190 <- wrt source file
2025-03-14T04:34:37.0069431Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_composable/replicate.py::replicate:0
2025-03-14T04:34:37.0071097Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_shard/sharded_optim/__init__.py::named_params_with_sharded_tensor:0, line 31 <- wrt source file
2025-03-14T04:34:37.0072819Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_shard/sharded_optim/__init__.py::named_params_with_sharded_tensor:0
2025-03-14T04:34:37.0074475Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_shard/sharded_tensor/__init__.py::custom_sharded_op_impl:0, line 457 <- wrt source file
2025-03-14T04:34:37.0076351Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_shard/sharded_tensor/__init__.py::custom_sharded_op_impl:0
2025-03-14T04:34:37.0077961Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_shard/sharded_tensor/_ops/_common.py::_sharded_op_common:0, line 18 <- wrt source file
2025-03-14T04:34:37.0079592Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_shard/sharded_tensor/_ops/_common.py::_sharded_op_common:0
2025-03-14T04:34:37.0081286Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_tools/memory_tracker.py::MemoryTracker:0, line 55 <- wrt source file
2025-03-14T04:34:37.0082784Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_tools/memory_tracker.py::MemoryTracker:0
2025-03-14T04:34:37.0084161Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/join.py::Join:0, line 141 <- wrt source file
2025-03-14T04:34:37.0085561Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/join.py::Join:0
2025-03-14T04:34:37.0087273Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/__init__.py::register_ddp_comm_hook:0, line 107 <- wrt source file
2025-03-14T04:34:37.0088983Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/__init__.py::register_ddp_comm_hook:0
2025-03-14T04:34:37.0090626Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/debugging_hooks.py::noop_hook:0, line 23 <- wrt source file
2025-03-14T04:34:37.0092277Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/debugging_hooks.py::noop_hook:0
2025-03-14T04:34:37.0093914Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::allreduce_hook:0, line 49 <- wrt source file
2025-03-14T04:34:37.0095870Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::allreduce_hook:0
2025-03-14T04:34:37.0097589Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::fp16_compress_hook:0, line 104 <- wrt source file
2025-03-14T04:34:37.0099315Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::fp16_compress_hook:0
2025-03-14T04:34:37.0101180Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::bf16_compress_hook:0, line 125 <- wrt source file
2025-03-14T04:34:37.0102910Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::bf16_compress_hook:0
2025-03-14T04:34:37.0104653Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::fp16_compress_wrapper:0, line 143 <- wrt source file
2025-03-14T04:34:37.0106470Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::fp16_compress_wrapper:0
2025-03-14T04:34:37.0108289Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::bf16_compress_wrapper:0, line 182 <- wrt source file
2025-03-14T04:34:37.0110041Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::bf16_compress_wrapper:0
2025-03-14T04:34:37.0111756Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py::batched_powerSGD_hook:0, line 707 <- wrt source file
2025-03-14T04:34:37.0113515Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py::batched_powerSGD_hook:0
2025-03-14T04:34:37.0115531Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py::quantization_pertensor_hook:0, line 64 <- wrt source file
2025-03-14T04:34:37.0117452Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py::quantization_pertensor_hook:0
2025-03-14T04:34:37.0119318Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py::quantization_perchannel_hook:0, line 145 <- wrt source file
2025-03-14T04:34:37.0121433Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py::quantization_perchannel_hook:0
2025-03-14T04:34:37.0123151Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/state_dict.py::_patch_model_state_dict:0, line 1401 <- wrt source file
2025-03-14T04:34:37.0124752Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/state_dict.py::_patch_model_state_dict:0
2025-03-14T04:34:37.0126345Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/state_dict.py::_patch_optimizer_state_dict:0, line 1460 <- wrt source file
2025-03-14T04:34:37.0128148Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/state_dict.py::_patch_optimizer_state_dict:0
2025-03-14T04:34:37.0129831Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/elastic/rendezvous/api.py::RendezvousHandler.shutdown:0, line 231 <- wrt source file
2025-03-14T04:34:37.0131523Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/elastic/rendezvous/api.py::RendezvousHandler.shutdown:0
2025-03-14T04:34:37.0133128Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/elastic/utils/distributed.py::get_free_port:0, line 141 <- wrt source file
2025-03-14T04:34:37.0135053Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/elastic/utils/distributed.py::get_free_port:0
2025-03-14T04:34:37.0136494Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/api.py::StateDictType:0, line 262 <- wrt source file
2025-03-14T04:34:37.0137848Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/api.py::StateDictType:0
2025-03-14T04:34:37.0139429Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel:0, line 130 <- wrt source file
2025-03-14T04:34:37.0141165Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel:0
2025-03-14T04:34:37.0143011Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.shard_full_optim_state_dict:0, line 1495 <- wrt source file
2025-03-14T04:34:37.0145239Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.shard_full_optim_state_dict:0
2025-03-14T04:34:37.0147230Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.scatter_full_optim_state_dict:0, line 1615 <- wrt source file
2025-03-14T04:34:37.0149271Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.scatter_full_optim_state_dict:0
2025-03-14T04:34:37.0151470Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.rekey_optim_state_dict:0, line 1700 <- wrt source file
2025-03-14T04:34:37.0153433Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.rekey_optim_state_dict:0
2025-03-14T04:34:37.0155211Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/sharded_grad_scaler.py::ShardedGradScaler:0, line 54 <- wrt source file
2025-03-14T04:34:37.0156844Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/sharded_grad_scaler.py::ShardedGradScaler:0
2025-03-14T04:34:37.0158414Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/wrap.py::CustomPolicy:0, line 224 <- wrt source file
2025-03-14T04:34:37.0160129Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/wrap.py::CustomPolicy:0
2025-03-14T04:34:37.0161855Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/nn/functional.py::_all_gather_base:0, line 134 <- wrt source file
2025-03-14T04:34:37.0163297Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/nn/functional.py::_all_gather_base:0
2025-03-14T04:34:37.0164867Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/optim/apply_optimizer_in_backward.py::_apply_optimizer_in_backward:0, line 43 <- wrt source file
2025-03-14T04:34:37.0166789Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/optim/apply_optimizer_in_backward.py::_apply_optimizer_in_backward:0
2025-03-14T04:34:37.0168734Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/optim/apply_optimizer_in_backward.py::_get_in_backward_optimizers:0, line 114 <- wrt source file
2025-03-14T04:34:37.0170491Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/optim/apply_optimizer_in_backward.py::_get_in_backward_optimizers:0
2025-03-14T04:34:37.0172092Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/optim/named_optimizer.py::_NamedOptimizer:0, line 44 <- wrt source file
2025-03-14T04:34:37.0173915Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/optim/named_optimizer.py::_NamedOptimizer:0
2025-03-14T04:34:37.0175470Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/optim/utils.py::register_functional_optim:0, line 37 <- wrt source file
2025-03-14T04:34:37.0176984Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/optim/utils.py::register_functional_optim:0
2025-03-14T04:34:37.0178481Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/pipelining/_IR.py::pipe_split:0, line 333 <- wrt source file
2025-03-14T04:34:37.0180384Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/pipelining/_IR.py::pipe_split:0
2025-03-14T04:34:37.0181919Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_tuple:0, line 82 <- wrt source file
2025-03-14T04:34:37.0183590Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_tuple:0
2025-03-14T04:34:37.0185222Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_dict:0, line 101 <- wrt source file
2025-03-14T04:34:37.0187080Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_dict:0
2025-03-14T04:34:37.0189505Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/rpc/api.py::_wait_all:0, line 175 <- wrt source file
2025-03-14T04:34:37.0191561Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/rpc/api.py::_wait_all:0
2025-03-14T04:34:37.0192842Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/rpc/api.py::shutdown:0, line 346 <- wrt source file
2025-03-14T04:34:37.0194250Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/rpc/api.py::shutdown:0
2025-03-14T04:34:37.0195582Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/rpc/api.py::remote:0, line 605 <- wrt source file
2025-03-14T04:34:37.0197709Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/rpc/api.py::remote:0
2025-03-14T04:34:37.0198960Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/rpc/api.py::rpc_sync:0, line 785 <- wrt source file
2025-03-14T04:34:37.0200225Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/rpc/api.py::rpc_sync:0
2025-03-14T04:34:37.0201471Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/rpc/api.py::rpc_async:0, line 877 <- wrt source file
2025-03-14T04:34:37.0202859Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/rpc/api.py::rpc_async:0
2025-03-14T04:34:37.0204160Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/_api.py::_shard_tensor:0, line 813 <- wrt source file
2025-03-14T04:34:37.0205556Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/_api.py::_shard_tensor:0
2025-03-14T04:34:37.0207605Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/_random.py::OffsetBasedRNGTracker._set_pre_op_offset:0, line 251 <- wrt source file
2025-03-14T04:34:37.0209489Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/_random.py::OffsetBasedRNGTracker._set_pre_op_offset:0
2025-03-14T04:34:37.0211061Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/_ops/_common_rules.py::pointwise_rule:0, line 235 <- wrt source file
2025-03-14T04:34:37.0212699Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/_ops/_common_rules.py::pointwise_rule:0
2025-03-14T04:34:37.0214219Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/api.py::parallelize_module:0, line 57 <- wrt source file
2025-03-14T04:34:37.0216106Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/api.py::parallelize_module:0
2025-03-14T04:34:37.0218059Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/ddp.py::_pre_dp_module_transform:0, line 88 <- wrt source file
2025-03-14T04:34:37.0219646Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/ddp.py::_pre_dp_module_transform:0
2025-03-14T04:34:37.0221160Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/loss.py::loss_parallel:0, line 55 <- wrt source file
2025-03-14T04:34:37.0223541Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/loss.py::loss_parallel:0
2025-03-14T04:34:37.0225791Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/style.py::ColwiseParallel:0, line 63 <- wrt source file
2025-03-14T04:34:37.0228171Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/style.py::ColwiseParallel:0
2025-03-14T04:34:37.0230597Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/style.py::RowwiseParallel:0, line 189 <- wrt source file
2025-03-14T04:34:37.0233543Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/style.py::RowwiseParallel:0
2025-03-14T04:34:37.0236465Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/style.py::SequenceParallel:0, line 333 <- wrt source file
2025-03-14T04:34:37.0239424Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/style.py::SequenceParallel:0
2025-03-14T04:34:37.0242117Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/bernoulli.py::Bernoulli:0, line 28 <- wrt source file
2025-03-14T04:34:37.0244646Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/bernoulli.py::Bernoulli:0
2025-03-14T04:34:37.0246934Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/beta.py::Beta:0, line 19 <- wrt source file
2025-03-14T04:34:37.0248161Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/beta.py::Beta:0
2025-03-14T04:34:37.0249476Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/binomial.py::Binomial:0, line 29 <- wrt source file
2025-03-14T04:34:37.0250790Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/binomial.py::Binomial:0
2025-03-14T04:34:37.0252224Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/categorical.py::Categorical:0, line 40 <- wrt source file
2025-03-14T04:34:37.0253623Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/categorical.py::Categorical:0
2025-03-14T04:34:37.0254916Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/cauchy.py::Cauchy:0, line 22 <- wrt source file
2025-03-14T04:34:37.0256183Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/cauchy.py::Cauchy:0
2025-03-14T04:34:37.0257459Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/chi2.py::Chi2:0, line 16 <- wrt source file
2025-03-14T04:34:37.0258671Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/chi2.py::Chi2:0
2025-03-14T04:34:37.0259965Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/constraints.py::is_dependent:0, line 164 <- wrt source file
2025-03-14T04:34:37.0261366Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/constraints.py::is_dependent:0
2025-03-14T04:34:37.0262779Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/constraints.py::_DependentProperty:0, line 185 <- wrt source file
2025-03-14T04:34:37.0264260Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/constraints.py::_DependentProperty:0
2025-03-14T04:34:37.0265828Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0, line 34 <- wrt source file
2025-03-14T04:34:37.0267579Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0
2025-03-14T04:34:37.0269023Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/dirichlet.py::Dirichlet:0, line 40 <- wrt source file
2025-03-14T04:34:37.0270365Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/dirichlet.py::Dirichlet:0
2025-03-14T04:34:37.0271908Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/exponential.py::Exponential:0, line 18 <- wrt source file
2025-03-14T04:34:37.0274600Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/exponential.py::Exponential:0
2025-03-14T04:34:37.0276989Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0, line 19 <- wrt source file
2025-03-14T04:34:37.0279682Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0
2025-03-14T04:34:37.0281979Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/gamma.py::Gamma:0, line 22 <- wrt source file
2025-03-14T04:34:37.0284183Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/gamma.py::Gamma:0
2025-03-14T04:34:37.0286107Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/geometric.py::Geometric:0, line 34 <- wrt source file
2025-03-14T04:34:37.0288494Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/geometric.py::Geometric:0
2025-03-14T04:34:37.0290852Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/gumbel.py::Gumbel:0, line 22 <- wrt source file
2025-03-14T04:34:37.0292835Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/gumbel.py::Gumbel:0
2025-03-14T04:34:37.0295309Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0, line 23 <- wrt source file
2025-03-14T04:34:37.0297098Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0
2025-03-14T04:34:37.0299583Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/half_normal.py::HalfNormal:0, line 23 <- wrt source file
2025-03-14T04:34:37.0302100Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/half_normal.py::HalfNormal:0
2025-03-14T04:34:37.0304087Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/independent.py::Independent:0, line 23 <- wrt source file
2025-03-14T04:34:37.0306681Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/independent.py::Independent:0
2025-03-14T04:34:37.0309234Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0, line 22 <- wrt source file
2025-03-14T04:34:37.0311180Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0
2025-03-14T04:34:37.0313761Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0, line 28 <- wrt source file
2025-03-14T04:34:37.0316175Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0
2025-03-14T04:34:37.0318562Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/laplace.py::Laplace:0, line 18 <- wrt source file
2025-03-14T04:34:37.0320802Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/laplace.py::Laplace:0
2025-03-14T04:34:37.0323241Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0, line 41 <- wrt source file
2025-03-14T04:34:37.0325784Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0
2025-03-14T04:34:37.0328220Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/log_normal.py::LogNormal:0, line 21 <- wrt source file
2025-03-14T04:34:37.0330801Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/log_normal.py::LogNormal:0
2025-03-14T04:34:37.0333064Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0, line 26 <- wrt source file
2025-03-14T04:34:37.0335366Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0
2025-03-14T04:34:37.0337843Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/multinomial.py::Multinomial:0, line 36 <- wrt source file
2025-03-14T04:34:37.0339917Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/multinomial.py::Multinomial:0
2025-03-14T04:34:37.0342318Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0, line 102 <- wrt source file
2025-03-14T04:34:37.0345187Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0
2025-03-14T04:34:37.0347251Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/normal.py::Normal:0, line 21 <- wrt source file
2025-03-14T04:34:37.0349504Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/normal.py::Normal:0
2025-03-14T04:34:37.0351775Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0, line 32 <- wrt source file
2025-03-14T04:34:37.0354677Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0
2025-03-14T04:34:37.0356471Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/pareto.py::Pareto:0, line 20 <- wrt source file
2025-03-14T04:34:37.0357807Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/pareto.py::Pareto:0
2025-03-14T04:34:37.0359064Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/poisson.py::Poisson:0, line 23 <- wrt source file
2025-03-14T04:34:37.0360360Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/poisson.py::Poisson:0
2025-03-14T04:34:37.0361640Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/studentT.py::StudentT:0, line 21 <- wrt source file
2025-03-14T04:34:37.0362951Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/studentT.py::StudentT:0
2025-03-14T04:34:37.0364288Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/transforms.py::CatTransform:0, line 1046 <- wrt source file
2025-03-14T04:34:37.0365685Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/transforms.py::CatTransform:0
2025-03-14T04:34:37.0367222Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/transforms.py::StackTransform:0, line 1152 <- wrt source file
2025-03-14T04:34:37.0368662Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/transforms.py::StackTransform:0
2025-03-14T04:34:37.0370173Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0, line 1226 <- wrt source file
2025-03-14T04:34:37.0371801Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0
2025-03-14T04:34:37.0373293Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/uniform.py::Uniform:0, line 19 <- wrt source file
2025-03-14T04:34:37.0374588Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/uniform.py::Uniform:0
2025-03-14T04:34:37.0375880Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/utils.py::clamp_probs:0, line 109 <- wrt source file
2025-03-14T04:34:37.0377188Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/utils.py::clamp_probs:0
2025-03-14T04:34:37.0378473Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/von_mises.py::VonMises:0, line 116 <- wrt source file
2025-03-14T04:34:37.0379777Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/von_mises.py::VonMises:0
2025-03-14T04:34:37.0381048Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/weibull.py::Weibull:0, line 20 <- wrt source file
2025-03-14T04:34:37.0382376Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/weibull.py::Weibull:0
2025-03-14T04:34:37.0383630Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/wishart.py::Wishart:0, line 39 <- wrt source file
2025-03-14T04:34:37.0384945Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/wishart.py::Wishart:0
2025-03-14T04:34:37.0386259Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:0, line 611 <- wrt source file
2025-03-14T04:34:37.0387642Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:0
2025-03-14T04:34:37.0388881Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/graph.py::_snake_case:0, line 101 <- wrt source file
2025-03-14T04:34:37.0390093Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/graph.py::_snake_case:0
2025-03-14T04:34:37.0391328Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/graph.py::Graph.eliminate_dead_code:0, line 1781 <- wrt source file
2025-03-14T04:34:37.0393267Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/graph.py::Graph.eliminate_dead_code:0
2025-03-14T04:34:37.0395705Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/graph.py::Graph.on_generate_code:0, line 1855 <- wrt source file
2025-03-14T04:34:37.0398049Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/graph.py::Graph.on_generate_code:0
2025-03-14T04:34:37.0400291Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/interpreter.py::Interpreter:0, line 48 <- wrt source file
2025-03-14T04:34:37.0402538Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/interpreter.py::Interpreter:0
2025-03-14T04:34:37.0404791Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/interpreter.py::Transformer:0, line 464 <- wrt source file
2025-03-14T04:34:37.0406855Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/interpreter.py::Transformer:0
2025-03-14T04:34:37.0408131Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/subgraph_rewriter.py::replace_pattern:0, line 125 <- wrt source file
2025-03-14T04:34:37.0409475Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/subgraph_rewriter.py::replace_pattern:0
2025-03-14T04:34:37.0410735Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/tensor_type.py::TensorType:0, line 12 <- wrt source file
2025-03-14T04:34:37.0412020Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/tensor_type.py::TensorType:0
2025-03-14T04:34:37.0413233Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/tensor_type.py::is_consistent:0, line 65 <- wrt source file
2025-03-14T04:34:37.0414475Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/tensor_type.py::is_consistent:0
2025-03-14T04:34:37.0415700Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/tensor_type.py::is_more_precise:0, line 93 <- wrt source file
2025-03-14T04:34:37.0416959Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/tensor_type.py::is_more_precise:0
2025-03-14T04:34:37.0418355Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/rewriter.py::AST_Rewriter.visit_AnnAssign:0, line 96 <- wrt source file
2025-03-14T04:34:37.0420314Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/rewriter.py::AST_Rewriter.visit_AnnAssign:0
2025-03-14T04:34:37.0423073Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/core.py::reify:0, line 58 <- wrt source file
2025-03-14T04:34:37.0424895Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/core.py::reify:0
2025-03-14T04:34:37.0426330Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/match.py::VarDispatcher:0, line 48 <- wrt source file
2025-03-14T04:34:37.0427855Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/match.py::VarDispatcher:0
2025-03-14T04:34:37.0429309Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/more.py::unifiable:0, line 11 <- wrt source file
2025-03-14T04:34:37.0430797Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/more.py::unifiable:0
2025-03-14T04:34:37.0432229Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/more.py::reify_object:0, line 37 <- wrt source file
2025-03-14T04:34:37.0433703Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/more.py::reify_object:0
2025-03-14T04:34:37.0435304Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/more.py::unify_object:0, line 93 <- wrt source file
2025-03-14T04:34:37.0436793Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/more.py::unify_object:0
2025-03-14T04:34:37.0438290Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py::merge:0, line 37 <- wrt source file
2025-03-14T04:34:37.0439856Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py::merge:0
2025-03-14T04:34:37.0441408Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py::merge_with:0, line 64 <- wrt source file
2025-03-14T04:34:37.0443252Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py::merge_with:0
2025-03-14T04:34:37.0444885Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py::valmap:0, line 90 <- wrt source file
2025-03-14T04:34:37.0446464Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py::valmap:0
2025-03-14T04:34:37.0448065Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py::keymap:0, line 106 <- wrt source file
2025-03-14T04:34:37.0449647Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py::keymap:0
2025-03-14T04:34:37.0451197Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py::itemmap:0, line 122 <- wrt source file
2025-03-14T04:34:37.0452967Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py::itemmap:0
2025-03-14T04:34:37.0454543Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py::valfilter:0, line 138 <- wrt source file
2025-03-14T04:34:37.0456160Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py::valfilter:0
2025-03-14T04:34:37.0457778Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py::keyfilter:0, line 158 <- wrt source file
2025-03-14T04:34:37.0459418Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py::keyfilter:0
2025-03-14T04:34:37.0461011Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py::itemfilter:0, line 178 <- wrt source file
2025-03-14T04:34:37.0462636Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py::itemfilter:0
2025-03-14T04:34:37.0464358Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py::assoc:0, line 204 <- wrt source file
2025-03-14T04:34:37.0465978Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py::assoc:0
2025-03-14T04:34:37.0467671Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py::dissoc:0, line 221 <- wrt source file
2025-03-14T04:34:37.0469264Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py::dissoc:0
2025-03-14T04:34:37.0470801Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py::first:0, line 416 <- wrt source file
2025-03-14T04:34:37.0472374Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py::first:0
2025-03-14T04:34:37.0473886Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/utils.py::transitive_get:0, line 15 <- wrt source file
2025-03-14T04:34:37.0475480Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/utils.py::transitive_get:0
2025-03-14T04:34:37.0476948Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/utils.py::_toposort:0, line 42 <- wrt source file
2025-03-14T04:34:37.0478411Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/utils.py::_toposort:0
2025-03-14T04:34:37.0479861Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/utils.py::reverse_dict:0, line 70 <- wrt source file
2025-03-14T04:34:37.0481361Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/utils.py::reverse_dict:0
2025-03-14T04:34:37.0482872Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/utils.py::freeze:0, line 95 <- wrt source file
2025-03-14T04:34:37.0484312Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/utils.py::freeze:0
2025-03-14T04:34:37.0485764Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/variable.py::variables:0, line 67 <- wrt source file
2025-03-14T04:34:37.0487274Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/variable.py::variables:0
2025-03-14T04:34:37.0488834Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/core.py::dispatch:0, line 20 <- wrt source file
2025-03-14T04:34:37.0490502Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/core.py::dispatch:0
2025-03-14T04:34:37.0492243Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher:0, line 113 <- wrt source file
2025-03-14T04:34:37.0494047Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher:0
2025-03-14T04:34:37.0495853Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.register:0, line 138 <- wrt source file
2025-03-14T04:34:37.0497810Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.register:0
2025-03-14T04:34:37.0501116Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.add:0, line 191 <- wrt source file
2025-03-14T04:34:37.0503028Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.add:0
2025-03-14T04:34:37.0504844Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.dispatch:0, line 304 <- wrt source file
2025-03-14T04:34:37.0506723Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.dispatch:0
2025-03-14T04:34:37.0508529Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::str_signature:0, line 434 <- wrt source file
2025-03-14T04:34:37.0510325Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::str_signature:0
2025-03-14T04:34:37.0512044Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::expand_tuples:0, line 18 <- wrt source file
2025-03-14T04:34:37.0513772Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::expand_tuples:0
2025-03-14T04:34:37.0515504Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::_toposort:0, line 41 <- wrt source file
2025-03-14T04:34:37.0517194Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::_toposort:0
2025-03-14T04:34:37.0518893Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::reverse_dict:0, line 68 <- wrt source file
2025-03-14T04:34:37.0520612Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::reverse_dict:0
2025-03-14T04:34:37.0522278Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::groupby:0, line 87 <- wrt source file
2025-03-14T04:34:37.0523941Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::groupby:0
2025-03-14T04:34:37.0525576Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::typename:0, line 117 <- wrt source file
2025-03-14T04:34:37.0527260Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::typename:0
2025-03-14T04:34:37.0528964Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/variadic.py::isvariadic:0, line 47 <- wrt source file
2025-03-14T04:34:37.0530739Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/variadic.py::isvariadic:0
2025-03-14T04:34:37.0532428Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/variadic.py::Variadic:0, line 83 <- wrt source file
2025-03-14T04:34:37.0534144Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/variadic.py::Variadic:0
2025-03-14T04:34:37.0535800Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/passes/graph_drawer.py::FxGraphDrawer.get_dot_graph:0, line 122 <- wrt source file
2025-03-14T04:34:37.0537347Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/passes/graph_drawer.py::FxGraphDrawer.get_dot_graph:0
2025-03-14T04:34:37.0538712Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/passes/shape_prop.py::ShapeProp:0, line 92 <- wrt source file
2025-03-14T04:34:37.0540008Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/passes/shape_prop.py::ShapeProp:0
2025-03-14T04:34:37.0541291Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/passes/split_module.py::split_module:0, line 85 <- wrt source file
2025-03-14T04:34:37.0542631Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/passes/split_module.py::split_module:0
2025-03-14T04:34:37.0544268Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/passes/utils/matcher_with_name_node_map_utils.py::SubgraphMatcherWithNameNodeMap:0, line 51 <- wrt source file
2025-03-14T04:34:37.0546213Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/passes/utils/matcher_with_name_node_map_utils.py::SubgraphMatcherWithNameNodeMap:0
2025-03-14T04:34:37.0547811Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0, line 36 <- wrt source file
2025-03-14T04:34:37.0549244Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0
2025-03-14T04:34:37.0550638Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/jit/mobile/__init__.py::_load_for_lite_interpreter:0, line 22 <- wrt source file
2025-03-14T04:34:37.0552067Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/jit/mobile/__init__.py::_load_for_lite_interpreter:0
2025-03-14T04:34:37.0553548Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/jit/mobile/__init__.py::_get_mobile_model_contained_types:0, line 122 <- wrt source file
2025-03-14T04:34:37.0555045Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/jit/mobile/__init__.py::_get_mobile_model_contained_types:0
2025-03-14T04:34:37.0556518Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/jit/mobile/__init__.py::_get_model_ops_and_info:0, line 214 <- wrt source file
2025-03-14T04:34:37.0557904Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/jit/mobile/__init__.py::_get_model_ops_and_info:0
2025-03-14T04:34:37.0559175Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/masked/_ops.py::logaddexp:0, line 1529 <- wrt source file
2025-03-14T04:34:37.0560367Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/masked/_ops.py::logaddexp:0
2025-03-14T04:34:37.0561720Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0, line 25 <- wrt source file
2025-03-14T04:34:37.0563132Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0
2025-03-14T04:34:37.0564584Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0, line 467 <- wrt source file
2025-03-14T04:34:37.0566073Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0
2025-03-14T04:34:37.0567661Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0, line 586 <- wrt source file
2025-03-14T04:34:37.1558897Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0
2025-03-14T04:34:37.1582574Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::gumbel_softmax:0, line 2181 <- wrt source file
2025-03-14T04:34:37.1591928Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::gumbel_softmax:0
2025-03-14T04:34:37.1594622Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::embedding:0, line 2487 <- wrt source file
2025-03-14T04:34:37.1600708Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::embedding:0
2025-03-14T04:34:37.1602929Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::embedding_bag:0, line 2627 <- wrt source file
2025-03-14T04:34:37.1610868Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::embedding_bag:0
2025-03-14T04:34:37.1613139Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::ctc_loss:0, line 3059 <- wrt source file
2025-03-14T04:34:37.1627680Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::ctc_loss:0
2025-03-14T04:34:37.1629857Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::nll_loss:0, line 3136 <- wrt source file
2025-03-14T04:34:37.1633819Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::nll_loss:0
2025-03-14T04:34:37.1636711Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::cross_entropy:0, line 3466 <- wrt source file
2025-03-14T04:34:37.1643329Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::cross_entropy:0
2025-03-14T04:34:37.1646320Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::binary_cross_entropy:0, line 3538 <- wrt source file
2025-03-14T04:34:37.1649659Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::binary_cross_entropy:0
2025-03-14T04:34:37.1652208Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0, line 3615 <- wrt source file
2025-03-14T04:34:37.1657005Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0
2025-03-14T04:34:37.1659825Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::pad:0, line 5178 <- wrt source file
2025-03-14T04:34:37.1667314Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::pad:0
2025-03-14T04:34:37.1669569Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv1d_input:0, line 32 <- wrt source file
2025-03-14T04:34:37.1675163Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv1d_input:0
2025-03-14T04:34:37.1677386Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv1d_weight:0, line 79 <- wrt source file
2025-03-14T04:34:37.1680230Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv1d_weight:0
2025-03-14T04:34:37.1682322Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv2d_input:0, line 130 <- wrt source file
2025-03-14T04:34:37.1687795Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv2d_input:0
2025-03-14T04:34:37.1689906Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv2d_weight:0, line 177 <- wrt source file
2025-03-14T04:34:37.1692902Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv2d_weight:0
2025-03-14T04:34:37.1694992Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv3d_input:0, line 228 <- wrt source file
2025-03-14T04:34:37.1728349Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv3d_input:0
2025-03-14T04:34:37.1731015Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv3d_weight:0, line 275 <- wrt source file
2025-03-14T04:34:37.1747929Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv3d_weight:0
2025-03-14T04:34:37.1750412Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::calculate_gain:0, line 102 <- wrt source file
2025-03-14T04:34:37.1752794Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::calculate_gain:0
2025-03-14T04:34:37.1754866Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::uniform_:0, line 159 <- wrt source file
2025-03-14T04:34:37.1756998Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::uniform_:0
2025-03-14T04:34:37.1759004Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::normal_:0, line 186 <- wrt source file
2025-03-14T04:34:37.1761044Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::normal_:0
2025-03-14T04:34:37.1763088Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::trunc_normal_:0, line 221 <- wrt source file
2025-03-14T04:34:37.1765370Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::trunc_normal_:0
2025-03-14T04:34:37.1767601Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::constant_:0, line 235 <- wrt source file
2025-03-14T04:34:37.1769691Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::constant_:0
2025-03-14T04:34:37.1771679Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::ones_:0, line 252 <- wrt source file
2025-03-14T04:34:37.1773677Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::ones_:0
2025-03-14T04:34:37.1775637Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::zeros_:0, line 265 <- wrt source file
2025-03-14T04:34:37.1777641Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::zeros_:0
2025-03-14T04:34:37.1779676Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::eye_:0, line 281 <- wrt source file
2025-03-14T04:34:37.1781649Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::eye_:0
2025-03-14T04:34:37.1783612Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::dirac_:0, line 303 <- wrt source file
2025-03-14T04:34:37.1785678Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::dirac_:0
2025-03-14T04:34:37.1787747Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::xavier_uniform_:0, line 389 <- wrt source file
2025-03-14T04:34:37.1789914Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::xavier_uniform_:0
2025-03-14T04:34:37.1792060Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::xavier_normal_:0, line 429 <- wrt source file
2025-03-14T04:34:37.1794274Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::xavier_normal_:0
2025-03-14T04:34:37.1796468Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::kaiming_uniform_:0, line 488 <- wrt source file
2025-03-14T04:34:37.1798676Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::kaiming_uniform_:0
2025-03-14T04:34:37.1800816Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::kaiming_normal_:0, line 553 <- wrt source file
2025-03-14T04:34:37.1802988Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::kaiming_normal_:0
2025-03-14T04:34:37.1805085Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::orthogonal_:0, line 592 <- wrt source file
2025-03-14T04:34:37.1807205Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::orthogonal_:0
2025-03-14T04:34:37.1809244Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::sparse_:0, line 645 <- wrt source file
2025-03-14T04:34:37.1811279Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::sparse_:0
2025-03-14T04:34:37.1813454Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0, line 117 <- wrt source file
2025-03-14T04:34:37.1815836Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0
2025-03-14T04:34:37.1818153Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/attention/bias.py::CausalBias:0, line 94 <- wrt source file
2025-03-14T04:34:37.1820529Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/attention/bias.py::CausalBias:0
2025-03-14T04:34:37.1822851Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Threshold:0, line 70 <- wrt source file
2025-03-14T04:34:37.1825229Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Threshold:0
2025-03-14T04:34:37.1827623Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::ReLU:0, line 112 <- wrt source file
2025-03-14T04:34:37.1829918Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::ReLU:0
2025-03-14T04:34:37.1832161Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::RReLU:0, line 171 <- wrt source file
2025-03-14T04:34:37.1834476Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::RReLU:0
2025-03-14T04:34:37.1836878Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Hardtanh:0, line 227 <- wrt source file
2025-03-14T04:34:37.1839256Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Hardtanh:0
2025-03-14T04:34:37.1841594Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::ReLU6:0, line 292 <- wrt source file
2025-03-14T04:34:37.1843903Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::ReLU6:0
2025-03-14T04:34:37.1846184Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Sigmoid:0, line 320 <- wrt source file
2025-03-14T04:34:37.1848525Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Sigmoid:0
2025-03-14T04:34:37.1850921Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0, line 352 <- wrt source file
2025-03-14T04:34:37.1853358Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0
2025-03-14T04:34:37.1855661Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Tanh:0, line 385 <- wrt source file
2025-03-14T04:34:37.1857937Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Tanh:0
2025-03-14T04:34:37.1860167Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::SiLU:0, line 418 <- wrt source file
2025-03-14T04:34:37.1862441Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::SiLU:0
2025-03-14T04:34:37.1864684Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Mish:0, line 457 <- wrt source file
2025-03-14T04:34:37.1867118Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Mish:0
2025-03-14T04:34:37.1869429Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Hardswish:0, line 502 <- wrt source file
2025-03-14T04:34:37.1871827Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Hardswish:0
2025-03-14T04:34:37.1874081Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::ELU:0, line 545 <- wrt source file
2025-03-14T04:34:37.1876406Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::ELU:0
2025-03-14T04:34:37.1878707Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::CELU:0, line 587 <- wrt source file
2025-03-14T04:34:37.1881013Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::CELU:0
2025-03-14T04:34:37.1883246Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::SELU:0, line 640 <- wrt source file
2025-03-14T04:34:37.1885510Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::SELU:0
2025-03-14T04:34:37.1887738Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::GLU:0, line 678 <- wrt source file
2025-03-14T04:34:37.1889996Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::GLU:0
2025-03-14T04:34:37.1892224Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::GELU:0, line 720 <- wrt source file
2025-03-14T04:34:37.1894608Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::GELU:0
2025-03-14T04:34:37.1896913Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Hardshrink:0, line 763 <- wrt source file
2025-03-14T04:34:37.1899368Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Hardshrink:0
2025-03-14T04:34:37.1901736Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::LeakyReLU:0, line 812 <- wrt source file
2025-03-14T04:34:37.1904144Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::LeakyReLU:0
2025-03-14T04:34:37.1906503Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::LogSigmoid:0, line 848 <- wrt source file
2025-03-14T04:34:37.1909026Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::LogSigmoid:0
2025-03-14T04:34:37.1913118Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softplus:0, line 881 <- wrt source file
2025-03-14T04:34:37.1915708Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softplus:0
2025-03-14T04:34:37.1918319Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softshrink:0, line 924 <- wrt source file
2025-03-14T04:34:37.1920746Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softshrink:0
2025-03-14T04:34:37.1923248Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0, line 1031 <- wrt source file
2025-03-14T04:34:37.1925903Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0
2025-03-14T04:34:37.1928320Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::PReLU:0, line 1494 <- wrt source file
2025-03-14T04:34:37.1930655Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::PReLU:0
2025-03-14T04:34:37.1932960Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softsign:0, line 1536 <- wrt source file
2025-03-14T04:34:37.1935335Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softsign:0
2025-03-14T04:34:37.1937687Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Tanhshrink:0, line 1559 <- wrt source file
2025-03-14T04:34:37.1940540Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Tanhshrink:0
2025-03-14T04:34:37.1943262Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softmin:0, line 1594 <- wrt source file
2025-03-14T04:34:37.1946020Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softmin:0
2025-03-14T04:34:37.1948328Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softmax:0, line 1652 <- wrt source file
2025-03-14T04:34:37.1950676Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softmax:0
2025-03-14T04:34:37.1953213Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softmax2d:0, line 1693 <- wrt source file
2025-03-14T04:34:37.1956114Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softmax2d:0
2025-03-14T04:34:37.1958868Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::LogSoftmax:0, line 1729 <- wrt source file
2025-03-14T04:34:37.1961742Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::LogSoftmax:0
2025-03-14T04:34:37.1964489Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0, line 330 <- wrt source file
2025-03-14T04:34:37.1967430Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0
2025-03-14T04:34:37.1970172Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0, line 441 <- wrt source file
2025-03-14T04:34:37.2224372Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0
2025-03-14T04:34:37.4808397Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0, line 552 <- wrt source file
2025-03-14T04:34:37.4810939Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0
2025-03-14T04:34:37.4963891Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0, line 21 <- wrt source file
2025-03-14T04:34:37.4985130Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0
2025-03-14T04:34:37.4987626Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::Sequential:0, line 76 <- wrt source file
2025-03-14T04:34:37.4990092Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::Sequential:0
2025-03-14T04:34:37.4992477Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::ModuleList:0, line 282 <- wrt source file
2025-03-14T04:34:37.4994982Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::ModuleList:0
2025-03-14T04:34:37.4997379Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::ModuleDict:0, line 464 <- wrt source file
2025-03-14T04:34:37.4999789Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::ModuleDict:0
2025-03-14T04:34:37.5002190Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::ParameterList:0, line 596 <- wrt source file
2025-03-14T04:34:37.5004928Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::ParameterList:0
2025-03-14T04:34:37.5007382Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::ParameterDict:0, line 748 <- wrt source file
2025-03-14T04:34:37.5009868Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::ParameterDict:0
2025-03-14T04:34:37.5012334Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0, line 38 <- wrt source file
2025-03-14T04:34:37.5014866Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0
2025-03-14T04:34:37.5017337Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0, line 77 <- wrt source file
2025-03-14T04:34:37.5019969Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0
2025-03-14T04:34:37.5022327Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::Dropout:0, line 60 <- wrt source file
2025-03-14T04:34:37.5024679Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::Dropout:0
2025-03-14T04:34:37.5026951Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::Dropout1d:0, line 105 <- wrt source file
2025-03-14T04:34:37.5029279Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::Dropout1d:0
2025-03-14T04:34:37.5031563Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::Dropout2d:0, line 157 <- wrt source file
2025-03-14T04:34:37.5043601Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::Dropout2d:0
2025-03-14T04:34:37.5046464Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::Dropout3d:0, line 202 <- wrt source file
2025-03-14T04:34:37.5121630Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::Dropout3d:0
2025-03-14T04:34:37.5124488Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0, line 245 <- wrt source file
2025-03-14T04:34:37.5126895Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0
2025-03-14T04:34:37.5129354Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0, line 294 <- wrt source file
2025-03-14T04:34:37.5202823Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0
2025-03-14T04:34:37.5205703Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/flatten.py::Flatten:0, line 30 <- wrt source file
2025-03-14T04:34:37.5209084Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/flatten.py::Flatten:0
2025-03-14T04:34:37.5211265Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/fold.py::Fold:0, line 111 <- wrt source file
2025-03-14T04:34:37.5215363Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/fold.py::Fold:0
2025-03-14T04:34:37.5217989Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/fold.py::Unfold:0, line 261 <- wrt source file
2025-03-14T04:34:37.5230356Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/fold.py::Unfold:0
2025-03-14T04:34:37.5233434Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0, line 187 <- wrt source file
2025-03-14T04:34:37.5245363Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0
2025-03-14T04:34:37.5248981Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0, line 303 <- wrt source file
2025-03-14T04:34:37.5455133Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0
2025-03-14T04:34:37.5457981Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0, line 419 <- wrt source file
2025-03-14T04:34:37.8011216Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0
2025-03-14T04:34:37.8168705Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0, line 87 <- wrt source file
2025-03-14T04:34:37.8171381Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0
2025-03-14T04:34:37.8173891Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/linear.py::Identity:0, line 34 <- wrt source file
2025-03-14T04:34:37.8178643Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/linear.py::Identity:0
2025-03-14T04:34:37.8180863Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/linear.py::Linear:0, line 80 <- wrt source file
2025-03-14T04:34:37.8188383Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/linear.py::Linear:0
2025-03-14T04:34:37.8190866Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/linear.py::Bilinear:0, line 179 <- wrt source file
2025-03-14T04:34:37.8208766Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/linear.py::Bilinear:0
2025-03-14T04:34:37.8210990Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::L1Loss:0, line 115 <- wrt source file
2025-03-14T04:34:37.8217130Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::L1Loss:0
2025-03-14T04:34:37.8219320Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::NLLLoss:0, line 211 <- wrt source file
2025-03-14T04:34:37.8243568Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::NLLLoss:0
2025-03-14T04:34:37.8246365Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0, line 321 <- wrt source file
2025-03-14T04:34:37.8250958Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0
2025-03-14T04:34:37.8253326Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0, line 406 <- wrt source file
2025-03-14T04:34:37.8266125Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0
2025-03-14T04:34:37.8268576Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::KLDivLoss:0, line 519 <- wrt source file
2025-03-14T04:34:37.8275943Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::KLDivLoss:0
2025-03-14T04:34:37.8278657Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::MSELoss:0, line 597 <- wrt source file
2025-03-14T04:34:37.8282476Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::MSELoss:0
2025-03-14T04:34:37.8284651Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::BCELoss:0, line 679 <- wrt source file
2025-03-14T04:34:37.8289052Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::BCELoss:0
2025-03-14T04:34:37.8291347Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0, line 750 <- wrt source file
2025-03-14T04:34:37.8300552Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0
2025-03-14T04:34:37.8302997Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0, line 943 <- wrt source file
2025-03-14T04:34:37.8308593Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0
2025-03-14T04:34:37.8311017Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0, line 1265 <- wrt source file
2025-03-14T04:34:37.8317306Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0
2025-03-14T04:34:37.8319735Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0, line 1405 <- wrt source file
2025-03-14T04:34:37.8327179Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0
2025-03-14T04:34:37.8329740Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0, line 1470 <- wrt source file
2025-03-14T04:34:37.8334504Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0
2025-03-14T04:34:37.8336930Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0, line 1549 <- wrt source file
2025-03-14T04:34:37.8342912Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0
2025-03-14T04:34:37.8345305Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0, line 1649 <- wrt source file
2025-03-14T04:34:37.8354803Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0
2025-03-14T04:34:37.8357163Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::CTCLoss:0, line 1890 <- wrt source file
2025-03-14T04:34:37.8387183Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::CTCLoss:0
2025-03-14T04:34:37.8389588Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.register_buffer:0, line 538 <- wrt source file
2025-03-14T04:34:37.8392195Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.register_buffer:0
2025-03-14T04:34:37.8394637Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.apply:0, line 1020 <- wrt source file
2025-03-14T04:34:37.8402572Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.apply:0
2025-03-14T04:34:37.8404960Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.to:0, line 1274 <- wrt source file
2025-03-14T04:34:37.8410226Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.to:0
2025-03-14T04:34:37.8412590Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.state_dict:0, line 2192 <- wrt source file
2025-03-14T04:34:37.8415186Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.state_dict:0
2025-03-14T04:34:37.8417642Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.parameters:0, line 2634 <- wrt source file
2025-03-14T04:34:37.8420142Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.parameters:0
2025-03-14T04:34:37.8422659Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.named_parameters:0, line 2662 <- wrt source file
2025-03-14T04:34:37.8425369Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.named_parameters:0
2025-03-14T04:34:37.8427851Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.buffers:0, line 2689 <- wrt source file
2025-03-14T04:34:37.8430329Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.buffers:0
2025-03-14T04:34:37.8432766Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.named_buffers:0, line 2716 <- wrt source file
2025-03-14T04:34:37.8435364Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.named_buffers:0
2025-03-14T04:34:37.8437881Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.named_children:0, line 2747 <- wrt source file
2025-03-14T04:34:37.8440494Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.named_children:0
2025-03-14T04:34:37.8442932Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.modules:0, line 2771 <- wrt source file
2025-03-14T04:34:37.8445360Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.modules:0
2025-03-14T04:34:37.8448072Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.named_modules:0, line 2809 <- wrt source file
2025-03-14T04:34:37.8451326Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.named_modules:0
2025-03-14T04:34:37.8454801Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0, line 38 <- wrt source file
2025-03-14T04:34:37.8467308Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0
2025-03-14T04:34:37.8470580Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/normalization.py::LayerNorm:0, line 151 <- wrt source file
2025-03-14T04:34:37.8476778Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/normalization.py::LayerNorm:0
2025-03-14T04:34:37.8479611Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/normalization.py::GroupNorm:0, line 262 <- wrt source file
2025-03-14T04:34:37.8485237Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/normalization.py::GroupNorm:0
2025-03-14T04:34:37.8488187Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/normalization.py::RMSNorm:0, line 355 <- wrt source file
2025-03-14T04:34:37.8490945Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/normalization.py::RMSNorm:0
2025-03-14T04:34:37.8493317Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::CircularPad1d:0, line 69 <- wrt source file
2025-03-14T04:34:37.8498733Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::CircularPad1d:0
2025-03-14T04:34:37.8513881Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::CircularPad2d:0, line 120 <- wrt source file
2025-03-14T04:34:37.8520922Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::CircularPad2d:0
2025-03-14T04:34:37.8523336Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::CircularPad3d:0, line 184 <- wrt source file
2025-03-14T04:34:38.4955302Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::CircularPad3d:0
2025-03-14T04:34:38.5254130Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0, line 238 <- wrt source file
2025-03-14T04:34:38.5264998Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0
2025-03-14T04:34:38.5267624Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0, line 291 <- wrt source file
2025-03-14T04:34:38.5273231Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0
2025-03-14T04:34:38.5275729Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0, line 347 <- wrt source file
2025-03-14T04:34:38.5298492Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0
2025-03-14T04:34:38.5300934Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0, line 391 <- wrt source file
2025-03-14T04:34:38.5305630Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0
2025-03-14T04:34:38.5307987Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0, line 435 <- wrt source file
2025-03-14T04:34:38.5313274Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0
2025-03-14T04:34:38.5315725Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0, line 492 <- wrt source file
2025-03-14T04:34:38.5319039Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0
2025-03-14T04:34:38.5321367Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0, line 550 <- wrt source file
2025-03-14T04:34:38.5326631Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0
2025-03-14T04:34:38.5329103Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0, line 593 <- wrt source file
2025-03-14T04:34:38.5332991Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0
2025-03-14T04:34:38.5335657Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0, line 650 <- wrt source file
2025-03-14T04:34:39.0757606Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0
2025-03-14T04:34:39.1055592Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0, line 684 <- wrt source file
2025-03-14T04:34:39.1064940Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0
2025-03-14T04:34:39.1067380Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0, line 739 <- wrt source file
2025-03-14T04:34:39.1072161Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0
2025-03-14T04:34:39.1074540Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0, line 798 <- wrt source file
2025-03-14T04:34:39.1097731Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0
2025-03-14T04:34:39.1100139Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0, line 40 <- wrt source file
2025-03-14T04:34:39.1103653Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0
2025-03-14T04:34:39.1106182Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0, line 93 <- wrt source file
2025-03-14T04:34:39.1109626Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0
2025-03-14T04:34:39.1112033Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0, line 118 <- wrt source file
2025-03-14T04:34:39.1117018Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0
2025-03-14T04:34:39.1119340Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0, line 195 <- wrt source file
2025-03-14T04:34:39.1171571Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0
2025-03-14T04:34:39.1173959Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0, line 278 <- wrt source file
2025-03-14T04:34:39.3470207Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0
2025-03-14T04:34:39.3527253Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0, line 352 <- wrt source file
2025-03-14T04:34:39.3538339Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0
2025-03-14T04:34:39.3540768Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0, line 534 <- wrt source file
2025-03-14T04:34:39.4326029Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0
2025-03-14T04:34:39.4328373Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0, line 622 <- wrt source file
2025-03-14T04:34:39.4335240Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0
2025-03-14T04:34:39.4337551Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0, line 714 <- wrt source file
2025-03-14T04:34:39.4377298Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0
2025-03-14T04:34:39.4379632Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0, line 827 <- wrt source file
2025-03-14T04:34:39.6068639Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0
2025-03-14T04:34:39.6125315Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0, line 917 <- wrt source file
2025-03-14T04:34:39.6175903Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0
2025-03-14T04:34:39.6178489Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0, line 1003 <- wrt source file
2025-03-14T04:34:39.6882882Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0
2025-03-14T04:34:39.6885327Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::LPPool1d:0, line 1117 <- wrt source file
2025-03-14T04:34:39.6892325Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::LPPool1d:0
2025-03-14T04:34:39.6895000Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::LPPool2d:0, line 1168 <- wrt source file
2025-03-14T04:34:39.6946497Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::LPPool2d:0
2025-03-14T04:34:39.6949624Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::LPPool3d:0, line 1227 <- wrt source file
2025-03-14T04:34:39.9173083Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::LPPool3d:0
2025-03-14T04:34:39.9229583Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0, line 1282 <- wrt source file
2025-03-14T04:34:39.9235944Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0
2025-03-14T04:34:39.9238457Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0, line 1316 <- wrt source file
2025-03-14T04:34:39.9246248Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0
2025-03-14T04:34:39.9248768Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0, line 1359 <- wrt source file
2025-03-14T04:34:39.9330822Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0
2025-03-14T04:34:39.9333334Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0, line 1406 <- wrt source file
2025-03-14T04:34:39.9336506Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0
2025-03-14T04:34:39.9339041Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0, line 1437 <- wrt source file
2025-03-14T04:34:39.9344868Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0
2025-03-14T04:34:39.9347364Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0, line 1476 <- wrt source file
2025-03-14T04:34:39.9370070Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0
2025-03-14T04:34:39.9372352Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::RNN:0, line 591 <- wrt source file
2025-03-14T04:34:39.9382153Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::RNN:0
2025-03-14T04:34:39.9384283Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::LSTM:0, line 948 <- wrt source file
2025-03-14T04:34:39.9726531Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::LSTM:0
2025-03-14T04:34:39.9728654Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::GRU:0, line 1285 <- wrt source file
2025-03-14T04:34:39.9743677Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::GRU:0
2025-03-14T04:34:39.9746038Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::RNNCell:0, line 1536 <- wrt source file
2025-03-14T04:34:39.9756924Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::RNNCell:0
2025-03-14T04:34:39.9759329Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::LSTMCell:0, line 1658 <- wrt source file
2025-03-14T04:34:39.9768195Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::LSTMCell:0
2025-03-14T04:34:39.9771156Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::GRUCell:0, line 1772 <- wrt source file
2025-03-14T04:34:39.9783737Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::GRUCell:0
2025-03-14T04:34:39.9787119Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/sparse.py::Embedding:0, line 69 <- wrt source file
2025-03-14T04:34:39.9798909Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/sparse.py::Embedding:0
2025-03-14T04:34:39.9801310Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0, line 241 <- wrt source file
2025-03-14T04:34:39.9805824Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0
2025-03-14T04:34:39.9808372Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0, line 519 <- wrt source file
2025-03-14T04:34:39.9814198Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0
2025-03-14T04:34:39.9816778Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py::Transformer:0, line 88 <- wrt source file
2025-03-14T04:34:40.8327595Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py::Transformer:0
2025-03-14T04:34:40.8343541Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py::Transformer.forward:0, line 256 <- wrt source file
2025-03-14T04:34:40.8346242Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py::Transformer.forward:0
2025-03-14T04:34:40.8348860Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0, line 326 <- wrt source file
2025-03-14T04:34:40.9481352Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0
2025-03-14T04:34:40.9487972Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0, line 544 <- wrt source file
2025-03-14T04:34:41.1928034Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0
2025-03-14T04:34:41.1938144Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0, line 667 <- wrt source file
2025-03-14T04:34:41.2240200Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0
2025-03-14T04:34:41.2313621Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0, line 973 <- wrt source file
2025-03-14T04:34:41.2877198Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0
2025-03-14T04:34:41.2880156Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/upsampling.py::Upsample:0, line 77 <- wrt source file
2025-03-14T04:34:41.2900795Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/upsampling.py::Upsample:0
2025-03-14T04:34:41.2903384Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0, line 223 <- wrt source file
2025-03-14T04:34:41.2912358Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0
2025-03-14T04:34:41.2914982Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0, line 273 <- wrt source file
2025-03-14T04:34:41.2921339Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0
2025-03-14T04:34:41.2923907Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0, line 127 <- wrt source file
2025-03-14T04:34:41.2926534Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0
2025-03-14T04:34:41.2928882Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0, line 625 <- wrt source file
2025-03-14T04:34:41.2931376Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0
2025-03-14T04:34:41.2934052Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0, line 1423 <- wrt source file
2025-03-14T04:34:41.2936859Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0
2025-03-14T04:34:41.2939738Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0, line 1975 <- wrt source file
2025-03-14T04:34:41.2942915Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0
2025-03-14T04:34:41.2946089Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1, line 1985 <- wrt source file
2025-03-14T04:34:41.2949035Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1
2025-03-14T04:34:41.2952327Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0, line 2020 <- wrt source file
2025-03-14T04:34:41.2955737Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0
2025-03-14T04:34:41.2958840Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/_per_sample_grad.py::call_for_per_sample_grads:0, line 35 <- wrt source file
2025-03-14T04:34:41.2961568Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/_per_sample_grad.py::call_for_per_sample_grads:0
2025-03-14T04:34:41.2964053Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/init.py::skip_init:0, line 33 <- wrt source file
2025-03-14T04:34:41.2966189Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/init.py::skip_init:0
2025-03-14T04:34:41.2967982Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0, line 265 <- wrt source file
2025-03-14T04:34:41.2969388Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0
2025-03-14T04:34:41.2970858Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0, line 360 <- wrt source file
2025-03-14T04:34:41.2972252Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0
2025-03-14T04:34:41.2973619Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0, line 591 <- wrt source file
2025-03-14T04:34:41.2975234Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0
2025-03-14T04:34:41.2976662Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/parametrize.py::register_parametrization:0, line 505 <- wrt source file
2025-03-14T04:34:41.2978140Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/parametrize.py::register_parametrization:0
2025-03-14T04:34:41.2979442Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::identity:0, line 844 <- wrt source file
2025-03-14T04:34:41.2980648Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::identity:0
2025-03-14T04:34:41.2982454Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::random_unstructured:0, line 880 <- wrt source file
2025-03-14T04:34:41.2984634Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::random_unstructured:0
2025-03-14T04:34:41.2986919Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::l1_unstructured:0, line 923 <- wrt source file
2025-03-14T04:34:41.2989184Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::l1_unstructured:0
2025-03-14T04:34:41.2991099Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::remove:0, line 1190 <- wrt source file
2025-03-14T04:34:41.2994750Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::remove:0
2025-03-14T04:34:41.2996956Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::is_pruned:0, line 1218 <- wrt source file
2025-03-14T04:34:41.3005128Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::is_pruned:0
2025-03-14T04:34:41.3007431Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/rnn.py::pad_packed_sequence:0, line 354 <- wrt source file
2025-03-14T04:34:41.3021045Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/rnn.py::pad_packed_sequence:0
2025-03-14T04:34:41.3023227Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/rnn.py::pad_sequence:0, line 432 <- wrt source file
2025-03-14T04:34:41.3027615Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/rnn.py::pad_sequence:0
2025-03-14T04:34:41.3029875Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0, line 490 <- wrt source file
2025-03-14T04:34:41.3041896Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0
2025-03-14T04:34:41.3044624Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/rnn.py::pack_sequence:0, line 546 <- wrt source file
2025-03-14T04:34:41.3050826Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/rnn.py::pack_sequence:0
2025-03-14T04:34:41.3053137Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0, line 574 <- wrt source file
2025-03-14T04:34:41.3068338Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0
2025-03-14T04:34:41.3070691Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0, line 313 <- wrt source file
2025-03-14T04:34:41.3077440Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0
2025-03-14T04:34:41.3080193Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0, line 345 <- wrt source file
2025-03-14T04:34:41.3086190Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0
2025-03-14T04:34:41.3089044Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/stateless.py::functional_call:0, line 196 <- wrt source file
2025-03-14T04:34:41.3091766Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/stateless.py::functional_call:0
2025-03-14T04:34:41.3093997Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0, line 133 <- wrt source file
2025-03-14T04:34:41.3099608Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0
2025-03-14T04:34:41.3101966Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0, line 155 <- wrt source file
2025-03-14T04:34:41.3106136Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0
2025-03-14T04:34:41.3108659Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0, line 315 <- wrt source file
2025-03-14T04:34:41.3110730Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0
2025-03-14T04:34:41.3112343Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/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
2025-03-14T04:34:41.3202051Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/_expanded_weights/expanded_weights_utils.py::sum_over_all_but_batch_and_last_n:0
2025-03-14T04:34:41.3204863Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0, line 258 <- wrt source file
2025-03-14T04:34:41.3207164Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0
2025-03-14T04:34:41.3209495Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0, line 353 <- wrt source file
2025-03-14T04:34:41.3211976Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0
2025-03-14T04:34:41.3214277Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::StepLR:0, line 446 <- wrt source file
2025-03-14T04:34:41.3216605Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::StepLR:0
2025-03-14T04:34:41.3218867Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0, line 499 <- wrt source file
2025-03-14T04:34:41.3221269Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0
2025-03-14T04:34:41.3223548Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0, line 557 <- wrt source file
2025-03-14T04:34:41.3225864Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0
2025-03-14T04:34:41.3228107Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::LinearLR:0, line 628 <- wrt source file
2025-03-14T04:34:41.3230473Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::LinearLR:0
2025-03-14T04:34:41.3232746Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0, line 748 <- wrt source file
2025-03-14T04:34:41.3235312Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0
2025-03-14T04:34:41.3237641Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0, line 889 <- wrt source file
2025-03-14T04:34:41.3240015Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0
2025-03-14T04:34:41.3242400Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0, line 1037 <- wrt source file
2025-03-14T04:34:41.3244876Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0
2025-03-14T04:34:41.3247324Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::ReduceLROnPlateau:0, line 1174 <- wrt source file
2025-03-14T04:34:41.3249829Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::ReduceLROnPlateau:0
2025-03-14T04:34:41.3252166Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0, line 1414 <- wrt source file
2025-03-14T04:34:41.3254457Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0
2025-03-14T04:34:41.3257002Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0, line 1676 <- wrt source file
2025-03-14T04:34:41.3259904Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0
2025-03-14T04:34:41.3262708Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1, line 1692 <- wrt source file
2025-03-14T04:34:41.3265572Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1
2025-03-14T04:34:41.3268271Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0, line 1830 <- wrt source file
2025-03-14T04:34:41.3270614Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0
2025-03-14T04:34:41.3272833Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/swa_utils.py::update_bn:0, line 331 <- wrt source file
2025-03-14T04:34:41.3275251Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/swa_utils.py::update_bn:0
2025-03-14T04:34:41.3277493Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/package/glob_group.py::GlobGroup:0, line 22 <- wrt source file
2025-03-14T04:34:41.3279884Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/package/glob_group.py::GlobGroup:0
2025-03-14T04:34:41.3282495Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/profiler/profiler.py::_KinetoProfile.toggle_collection_dynamic:0, line 283 <- wrt source file
2025-03-14T04:34:41.3285435Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/profiler/profiler.py::_KinetoProfile.toggle_collection_dynamic:0
2025-03-14T04:34:41.3287976Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/profiler/profiler.py::profile:0, line 605 <- wrt source file
2025-03-14T04:34:41.3290344Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/profiler/profiler.py::profile:0
2025-03-14T04:34:41.3292781Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/sparse/semi_structured.py::to_sparse_semi_structured:0, line 338 <- wrt source file
2025-03-14T04:34:41.3295502Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/sparse/semi_structured.py::to_sparse_semi_structured:0
2025-03-14T04:34:41.3297972Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_creation.py::make_tensor:0, line 114 <- wrt source file
2025-03-14T04:34:41.3300289Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_creation.py::make_tensor:0
2025-03-14T04:34:41.3302702Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/common_utils.py::parametrize:0, line 614 <- wrt source file
2025-03-14T04:34:41.3305313Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/common_utils.py::parametrize:0
2025-03-14T04:34:41.3307904Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/common_utils.py::reparametrize:0, line 735 <- wrt source file
2025-03-14T04:34:41.3310570Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/common_utils.py::reparametrize:0
2025-03-14T04:34:41.3313133Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/common_utils.py::decorateIf:0, line 824 <- wrt source file
2025-03-14T04:34:41.3315798Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/common_utils.py::decorateIf:0
2025-03-14T04:34:41.3318595Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/common_utils.py::random_symmetric_psd_matrix:0, line 4649 <- wrt source file
2025-03-14T04:34:41.3321521Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/common_utils.py::random_symmetric_psd_matrix:0
2025-03-14T04:34:41.3324369Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_psd_matrix:0, line 4663 <- wrt source file
2025-03-14T04:34:41.3327277Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_psd_matrix:0
2025-03-14T04:34:41.3330113Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_pd_matrix:0, line 4693 <- wrt source file
2025-03-14T04:34:41.3332992Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_pd_matrix:0
2025-03-14T04:34:41.3335732Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/logging_utils.py::logs_to_string:0, line 194 <- wrt source file
2025-03-14T04:34:41.3338363Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/logging_utils.py::logs_to_string:0
2025-03-14T04:34:41.3341079Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/logging_utils.py::multiple_logs_to_string:0, line 220 <- wrt source file
2025-03-14T04:34:41.3343886Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/logging_utils.py::multiple_logs_to_string:0
2025-03-14T04:34:41.3346862Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/distributed/_tensor/common_dtensor.py::skip_unless_torch_gpu:0, line 313 <- wrt source file
2025-03-14T04:34:41.3350120Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/distributed/_tensor/common_dtensor.py::skip_unless_torch_gpu:0
2025-03-14T04:34:41.3353307Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/optests/autograd_registration.py::autograd_registration_check:0, line 29 <- wrt source file
2025-03-14T04:34:41.3356698Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/optests/autograd_registration.py::autograd_registration_check:0
2025-03-14T04:34:41.3359401Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_is_leaf:0, line 247 <- wrt source file
2025-03-14T04:34:41.3361694Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_is_leaf:0
2025-03-14T04:34:41.3363959Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0, line 290 <- wrt source file
2025-03-14T04:34:41.3366266Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0
2025-03-14T04:34:41.3368677Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0, line 327 <- wrt source file
2025-03-14T04:34:41.3371044Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0
2025-03-14T04:34:41.3373313Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0, line 357 <- wrt source file
2025-03-14T04:34:41.3375562Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0
2025-03-14T04:34:41.3377900Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0, line 392 <- wrt source file
2025-03-14T04:34:41.3380229Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0
2025-03-14T04:34:41.3382525Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0, line 427 <- wrt source file
2025-03-14T04:34:41.3384894Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0
2025-03-14T04:34:41.3387139Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_map:0, line 464 <- wrt source file
2025-03-14T04:34:41.3389375Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_map:0
2025-03-14T04:34:41.3391673Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0, line 880 <- wrt source file
2025-03-14T04:34:41.3394172Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0
2025-03-14T04:34:41.3396593Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_pytree.py::register_dataclass:0, line 268 <- wrt source file
2025-03-14T04:34:41.3399036Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_pytree.py::register_dataclass:0
2025-03-14T04:34:41.3401346Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_pytree.py::register_constant:0, line 328 <- wrt source file
2025-03-14T04:34:41.3403697Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_pytree.py::register_constant:0
2025-03-14T04:34:41.3405918Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_pytree.py::tree_map:0, line 1115 <- wrt source file
2025-03-14T04:34:41.3408162Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_pytree.py::tree_map:0
2025-03-14T04:34:41.3410633Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0, line 69 <- wrt source file
2025-03-14T04:34:41.3413449Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0
2025-03-14T04:34:41.3416360Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/backend_registration.py::generate_methods_for_privateuse1_backend:0, line 322 <- wrt source file
2025-03-14T04:34:41.3419450Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/backend_registration.py::generate_methods_for_privateuse1_backend:0
2025-03-14T04:34:41.3422264Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/backend_registration.py::_get_custom_mod_func:0, line 354 <- wrt source file
2025-03-14T04:34:41.3424942Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/backend_registration.py::_get_custom_mod_func:0
2025-03-14T04:34:41.3427533Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/checkpoint.py::checkpoint_sequential:0, line 547 <- wrt source file
2025-03-14T04:34:41.3430079Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/checkpoint.py::checkpoint_sequential:0
2025-03-14T04:34:41.3432607Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/checkpoint.py::set_checkpoint_early_stop:0, line 749 <- wrt source file
2025-03-14T04:34:41.3435258Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/checkpoint.py::set_checkpoint_early_stop:0
2025-03-14T04:34:41.3437668Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/dlpack.py::from_dlpack:0, line 72 <- wrt source file
2025-03-14T04:34:41.3439898Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/dlpack.py::from_dlpack:0
2025-03-14T04:34:41.3442383Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0, line 718 <- wrt source file
2025-03-14T04:34:41.3815119Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0
2025-03-14T04:34:41.3817731Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/dataset.py::IterableDataset:0, line 94 <- wrt source file
2025-03-14T04:34:41.3820282Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/dataset.py::IterableDataset:0
2025-03-14T04:34:41.3822900Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/dataset.py::StackDataset:0, line 219 <- wrt source file
2025-03-14T04:34:41.3824984Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/dataset.py::StackDataset:0
2025-03-14T04:34:41.3827224Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/dataset.py::random_split:0, line 441 <- wrt source file
2025-03-14T04:34:41.3829479Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/dataset.py::random_split:0
2025-03-14T04:34:41.3831698Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/sampler.py::Sampler:0, line 34 <- wrt source file
2025-03-14T04:34:41.3833973Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/sampler.py::Sampler:0
2025-03-14T04:34:41.3836758Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0, line 232 <- wrt source file
2025-03-14T04:34:41.3839451Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0
2025-03-14T04:34:41.3841896Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/sampler.py::BatchSampler:0, line 295 <- wrt source file
2025-03-14T04:34:41.3844261Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/sampler.py::BatchSampler:0
2025-03-14T04:34:41.3846808Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/_utils/collate.py::default_convert:0, line 39 <- wrt source file
2025-03-14T04:34:41.3849488Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/_utils/collate.py::default_convert:0
2025-03-14T04:34:41.3852023Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/_utils/collate.py::collate:0, line 137 <- wrt source file
2025-03-14T04:34:41.3854478Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/_utils/collate.py::collate:0
2025-03-14T04:34:41.3856970Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/_utils/collate.py::default_collate:0, line 364 <- wrt source file
2025-03-14T04:34:41.3859478Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/_utils/collate.py::default_collate:0
2025-03-14T04:34:41.3862004Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/datapipe.py::IterDataPipe:0, line 97 <- wrt source file
2025-03-14T04:34:41.3864730Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/datapipe.py::IterDataPipe:0
2025-03-14T04:34:41.3867877Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0, line 264 <- wrt source file
2025-03-14T04:34:41.3870571Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0
2025-03-14T04:34:41.3873461Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0, line 52 <- wrt source file
2025-03-14T04:34:41.3876612Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0
2025-03-14T04:34:41.3879652Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0, line 198 <- wrt source file
2025-03-14T04:34:41.3882925Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0
2025-03-14T04:34:41.3886093Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0, line 88 <- wrt source file
2025-03-14T04:34:41.3889474Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0
2025-03-14T04:34:41.3892457Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combining.py::ConcaterIterDataPipe:0, line 38 <- wrt source file
2025-03-14T04:34:41.3895578Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combining.py::ConcaterIterDataPipe:0
2025-03-14T04:34:41.3898533Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combining.py::ForkerIterDataPipe:0, line 88 <- wrt source file
2025-03-14T04:34:41.3901693Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combining.py::ForkerIterDataPipe:0
2025-03-14T04:34:41.3904615Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combining.py::_ChildDataPipe:0, line 307 <- wrt source file
2025-03-14T04:34:41.3907540Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combining.py::_ChildDataPipe:0
2025-03-14T04:34:41.3910490Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combining.py::DemultiplexerIterDataPipe:0, line 393 <- wrt source file
2025-03-14T04:34:41.3913691Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combining.py::DemultiplexerIterDataPipe:0
2025-03-14T04:34:41.3916938Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combining.py::MultiplexerIterDataPipe:0, line 603 <- wrt source file
2025-03-14T04:34:41.3920097Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combining.py::MultiplexerIterDataPipe:0
2025-03-14T04:34:41.3923112Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combining.py::ZipperIterDataPipe:0, line 671 <- wrt source file
2025-03-14T04:34:41.3926011Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combining.py::ZipperIterDataPipe:0
2025-03-14T04:34:41.3928958Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0, line 31 <- wrt source file
2025-03-14T04:34:41.3932257Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0
2025-03-14T04:34:41.3935374Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/fileopener.py::FileOpenerIterDataPipe:0, line 35 <- wrt source file
2025-03-14T04:34:41.3938569Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/fileopener.py::FileOpenerIterDataPipe:0
2025-03-14T04:34:41.3941600Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/grouping.py::BatcherIterDataPipe:0, line 53 <- wrt source file
2025-03-14T04:34:41.3944647Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/grouping.py::BatcherIterDataPipe:0
2025-03-14T04:34:41.3947664Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/grouping.py::UnBatcherIterDataPipe:0, line 113 <- wrt source file
2025-03-14T04:34:41.3950314Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/grouping.py::UnBatcherIterDataPipe:0
2025-03-14T04:34:41.3953160Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/grouping.py::GrouperIterDataPipe:0, line 180 <- wrt source file
2025-03-14T04:34:41.3955204Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/grouping.py::GrouperIterDataPipe:0
2025-03-14T04:34:41.3956794Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/selecting.py::FilterIterDataPipe:0, line 37 <- wrt source file
2025-03-14T04:34:41.3958415Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/selecting.py::FilterIterDataPipe:0
2025-03-14T04:34:41.3960134Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0, line 25 <- wrt source file
2025-03-14T04:34:41.3962370Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0
2025-03-14T04:34:41.3964047Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0, line 26 <- wrt source file
2025-03-14T04:34:41.3965730Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0
2025-03-14T04:34:41.3967496Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0, line 35 <- wrt source file
2025-03-14T04:34:41.3969091Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0
2025-03-14T04:34:41.3970697Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0, line 34 <- wrt source file
2025-03-14T04:34:41.3972889Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0
2025-03-14T04:34:41.3975512Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/map/combining.py::ConcaterMapDataPipe:0, line 29 <- wrt source file
2025-03-14T04:34:41.3978167Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/map/combining.py::ConcaterMapDataPipe:0
2025-03-14T04:34:41.3980890Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/map/combining.py::ZipperMapDataPipe:0, line 73 <- wrt source file
2025-03-14T04:34:41.3983518Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/map/combining.py::ZipperMapDataPipe:0
2025-03-14T04:34:41.3986038Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/map/grouping.py::BatcherMapDataPipe:0, line 29 <- wrt source file
2025-03-14T04:34:41.3988592Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/map/grouping.py::BatcherMapDataPipe:0
2025-03-14T04:34:41.3991285Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/map/utils.py::SequenceWrapperMapDataPipe:0, line 26 <- wrt source file
2025-03-14T04:34:41.3994182Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/map/utils.py::SequenceWrapperMapDataPipe:0
2025-03-14T04:34:41.3997346Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0, line 37 <- wrt source file
2025-03-14T04:34:41.4000164Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0
2025-03-14T04:34:41.4002766Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0, line 47 <- wrt source file
2025-03-14T04:34:41.4005321Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0
2025-03-14T04:34:41.4007760Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0, line 440 <- wrt source file
2025-03-14T04:34:41.4010165Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0
2025-03-14T04:34:41.4012681Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0, line 536 <- wrt source file
2025-03-14T04:34:41.4015292Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0
2025-03-14T04:34:41.4017934Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0, line 216 <- wrt source file
2025-03-14T04:34:41.4020407Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0
2025-03-14T04:34:41.4022941Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0, line 314 <- wrt source file
2025-03-14T04:34:41.4025380Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0
2025-03-14T04:34:41.4027828Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0, line 362 <- wrt source file
2025-03-14T04:34:41.4030312Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0
2025-03-14T04:34:41.4032694Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0, line 394 <- wrt source file
2025-03-14T04:34:41.4035214Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0
2025-03-14T04:34:41.4037796Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0, line 441 <- wrt source file
2025-03-14T04:34:41.4040213Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0
2025-03-14T04:34:41.4042658Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0, line 480 <- wrt source file
2025-03-14T04:34:41.4045110Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0
2025-03-14T04:34:41.4047566Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0, line 533 <- wrt source file
2025-03-14T04:34:41.4050065Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0
2025-03-14T04:34:41.4052543Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0, line 599 <- wrt source file
2025-03-14T04:34:41.4054994Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0
2025-03-14T04:34:41.4057458Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0, line 648 <- wrt source file
2025-03-14T04:34:41.4059834Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0
2025-03-14T04:34:41.4062223Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0, line 811 <- wrt source file
2025-03-14T04:34:41.4064561Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0
2025-03-14T04:34:41.4067246Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0, line 878 <- wrt source file
2025-03-14T04:34:41.4069752Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0
2025-03-14T04:34:41.4072332Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0, line 989 <- wrt source file
2025-03-14T04:34:41.4074895Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0
2025-03-14T04:34:41.4077774Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0, line 1063 <- wrt source file
2025-03-14T04:34:41.4080791Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0
2025-03-14T04:34:41.4083707Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0, line 1084 <- wrt source file
2025-03-14T04:34:41.4086569Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0
2025-03-14T04:34:41.4089279Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0, line 1108 <- wrt source file
2025-03-14T04:34:41.4091908Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0
2025-03-14T04:34:41.4094388Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0, line 1154 <- wrt source file
2025-03-14T04:34:41.4096855Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0
2025-03-14T04:34:41.4098173Z ============
2025-03-14T04:34:41.4098659Z Finished doctests
2025-03-14T04:34:41.4099069Z 342 / 709 passed
2025-03-14T04:34:41.4099468Z 
2025-03-14T04:34:41.4099953Z === Found 116 parse-time warnings ===
2025-03-14T04:34:41.4100678Z --- Parse Warning: 1 / 116 ---
2025-03-14T04:34:41.4104019Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Tensor.dim_order in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py line=1507.
2025-03-14T04:34:41.4106335Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.4107110Z     
2025-03-14T04:34:41.4107543Z     dim_order(ambiguity_check=False) -> tuple
2025-03-14T04:34:41.4108058Z     
2025-03-14T04:34:41.4108638Z     Returns the uniquely determined tuple of int describing the dim order or
2025-03-14T04:34:41.4109456Z     physical layout of :attr:`self`.
2025-03-14T04:34:41.4110004Z     
2025-03-14T04:34:41.4110655Z     The dim order represents how dimensions are laid out in memory of dense tensors,
2025-03-14T04:34:41.4111546Z     starting from the outermost to the innermost dimension.
2025-03-14T04:34:41.4112199Z     
2025-03-14T04:34:41.4112678Z     Note that the dim order may not always be uniquely determined.
2025-03-14T04:34:41.4113782Z     If `ambiguity_check` is True, this function raises a RuntimeError when the dim order cannot be uniquely determined;
2025-03-14T04:34:41.4115405Z     If `ambiguity_check` is a list of memory formats, this function raises a RuntimeError when tensor can not be interpreted
2025-03-14T04:34:41.4116763Z     into exactly one of the given memory formats, or it cannot be uniquely determined.
2025-03-14T04:34:41.4117977Z     If `ambiguity_check` is False, it will return one of legal dim order(s) without checking its uniqueness.
2025-03-14T04:34:41.4119005Z     Otherwise, it will raise TypeError.
2025-03-14T04:34:41.4119568Z     
2025-03-14T04:34:41.4119916Z     Args:
2025-03-14T04:34:41.4120703Z         ambiguity_check (bool or List[torch.memory_format]): The check method for ambiguity of dim order.
2025-03-14T04:34:41.4121601Z     
2025-03-14T04:34:41.4121969Z     Examples::
2025-03-14T04:34:41.4122367Z     
2025-03-14T04:34:41.4122772Z         >>> torch.empty((2, 3, 5, 7)).dim_order()
2025-03-14T04:34:41.4123342Z         (0, 1, 2, 3)
2025-03-14T04:34:41.4123881Z         >>> torch.empty((2, 3, 5, 7)).transpose(1, 2).dim_order()
2025-03-14T04:34:41.4124526Z         (0, 2, 1, 3)
2025-03-14T04:34:41.4125159Z         >>> torch.empty((2, 3, 5, 7), memory_format=torch.channels_last).dim_order()
2025-03-14T04:34:41.4125904Z         (0, 2, 3, 1)
2025-03-14T04:34:41.4126392Z         >>> torch.empty((1, 2, 3, 4)).dim_order()
2025-03-14T04:34:41.4126945Z         (0, 1, 2, 3)
2025-03-14T04:34:41.4127351Z         >>> try:
2025-03-14T04:34:41.4127890Z         ...     torch.empty((1, 2, 3, 4)).dim_order(ambiguity_check=True)
2025-03-14T04:34:41.4128626Z         ... except RuntimeError as e:
2025-03-14T04:34:41.4129177Z         ...     print(e)
2025-03-14T04:34:41.4130034Z         The tensor does not have unique dim order, or cannot map to exact one of the given memory formats.
2025-03-14T04:34:41.4131065Z         >>> torch.empty((1, 2, 3, 4)).dim_order(
2025-03-14T04:34:41.4131846Z         ...     ambiguity_check=[torch.contiguous_format, torch.channels_last]
2025-03-14T04:34:41.4132560Z         ... )  # It can be mapped to contiguous format
2025-03-14T04:34:41.4133041Z         (0, 1, 2, 3)
2025-03-14T04:34:41.4133419Z         >>> try:
2025-03-14T04:34:41.4134022Z         ...     torch.empty((1, 2, 3, 4)).dim_order(ambiguity_check="ILLEGAL")
2025-03-14T04:34:41.4134641Z         ... except TypeError as e:
2025-03-14T04:34:41.4135086Z         ...     print(e)
2025-03-14T04:34:41.4135672Z         The ambiguity_check argument must be a bool or a list of memory formats.
2025-03-14T04:34:41.4136326Z     
2025-03-14T04:34:41.4136640Z     .. warning::
2025-03-14T04:34:41.4137156Z         The dim_order tensor API is experimental and subject to change.
2025-03-14T04:34:41.4137735Z     
2025-03-14T04:34:41.4138291Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.4138987Z     
2025-03-14T04:34:41.4139318Z       warnings.warn(msg)
2025-03-14T04:34:41.4139704Z     
2025-03-14T04:34:41.4140225Z --- Parse Warning: 2 / 116 ---
2025-03-14T04:34:41.4141862Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=meshgrid in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py line=446.
2025-03-14T04:34:41.4143781Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.4144726Z     Creates grids of coordinates specified by the 1D inputs in `attr`:tensors.
2025-03-14T04:34:41.4145390Z     
2025-03-14T04:34:41.4145839Z             This is helpful when you want to visualize data over some
2025-03-14T04:34:41.4146582Z             range of inputs. See below for a plotting example.
2025-03-14T04:34:41.4147126Z     
2025-03-14T04:34:41.4147549Z             Given :math:`N` 1D tensors :math:`T_0 \ldots T_{N-1}` as
2025-03-14T04:34:41.4148263Z             inputs with corresponding sizes :math:`S_0 \ldots S_{N-1}`,
2025-03-14T04:34:41.4149018Z             this creates :math:`N` N-dimensional tensors :math:`G_0 \ldots
2025-03-14T04:34:41.4149729Z             G_{N-1}`, each with shape :math:`(S_0, ..., S_{N-1})` where
2025-03-14T04:34:41.4150437Z             the output :math:`G_i` is constructed by expanding :math:`T_i`
2025-03-14T04:34:41.4151139Z             to the result shape.
2025-03-14T04:34:41.4151561Z     
2025-03-14T04:34:41.4151880Z             .. note::
2025-03-14T04:34:41.4152341Z                 0D inputs are treated equivalently to 1D inputs of a
2025-03-14T04:34:41.4152912Z                 single element.
2025-03-14T04:34:41.4153322Z     
2025-03-14T04:34:41.4153641Z             .. warning::
2025-03-14T04:34:41.4154170Z                 `torch.meshgrid(*tensors)` currently has the same behavior
2025-03-14T04:34:41.4154881Z                 as calling `numpy.meshgrid(*arrays, indexing='ij')`.
2025-03-14T04:34:41.4155527Z     
2025-03-14T04:34:41.4155934Z                 In the future `torch.meshgrid` will transition to
2025-03-14T04:34:41.4156510Z                 `indexing='xy'` as the default.
2025-03-14T04:34:41.4156980Z     
2025-03-14T04:34:41.4157438Z                 https://github.com/pytorch/pytorch/issues/50276 tracks
2025-03-14T04:34:41.4158172Z                 this issue with the goal of migrating to NumPy's behavior.
2025-03-14T04:34:41.4158757Z     
2025-03-14T04:34:41.4159085Z             .. seealso::
2025-03-14T04:34:41.4159460Z     
2025-03-14T04:34:41.4159890Z                 :func:`torch.cartesian_prod` has the same effect but it
2025-03-14T04:34:41.4160532Z                 collects the data in a tensor of vectors.
2025-03-14T04:34:41.4161016Z     
2025-03-14T04:34:41.4161329Z             Args:
2025-03-14T04:34:41.4161933Z                 tensors (list of Tensor): list of scalars or 1 dimensional tensors. Scalars will be
2025-03-14T04:34:41.4162751Z                     treated as tensors of size :math:`(1,)` automatically
2025-03-14T04:34:41.4163298Z     
2025-03-14T04:34:41.4163736Z                 indexing: (str, optional): the indexing mode, either "xy"
2025-03-14T04:34:41.4164433Z                     or "ij", defaults to "ij". See warning for future changes.
2025-03-14T04:34:41.4164992Z     
2025-03-14T04:34:41.4165403Z                     If "xy" is selected, the first dimension corresponds
2025-03-14T04:34:41.4166167Z                     to the cardinality of the second input and the second
2025-03-14T04:34:41.4166864Z                     dimension corresponds to the cardinality of the first
2025-03-14T04:34:41.4167625Z                     input.
2025-03-14T04:34:41.4168016Z     
2025-03-14T04:34:41.4168423Z                     If "ij" is selected, the dimensions are in the same
2025-03-14T04:34:41.4169048Z                     order as the cardinality of the inputs.
2025-03-14T04:34:41.4169544Z     
2025-03-14T04:34:41.4169869Z             Returns:
2025-03-14T04:34:41.4170352Z                 seq (sequence of Tensors): If the input has :math:`N`
2025-03-14T04:34:41.4171031Z                 tensors of size :math:`S_0 \ldots S_{N-1}``, then the
2025-03-14T04:34:41.4171722Z                 output will also have :math:`N` tensors, where each tensor
2025-03-14T04:34:41.4172371Z                 is of shape :math:`(S_0, ..., S_{N-1})`.
2025-03-14T04:34:41.4172999Z     
2025-03-14T04:34:41.4173339Z             Example::
2025-03-14T04:34:41.4173713Z     
2025-03-14T04:34:41.4174059Z                 >>> x = torch.tensor([1, 2, 3])
2025-03-14T04:34:41.4174566Z                 >>> y = torch.tensor([4, 5, 6])
2025-03-14T04:34:41.4175040Z     
2025-03-14T04:34:41.4175498Z                 Observe the element-wise pairings across the grid, (1, 4),
2025-03-14T04:34:41.4176276Z                 (1, 5), ..., (3, 6). This is the same thing as the
2025-03-14T04:34:41.4176817Z                 cartesian product.
2025-03-14T04:34:41.4177362Z                 >>> grid_x, grid_y = torch.meshgrid(x, y, indexing='ij')
2025-03-14T04:34:41.4177935Z                 >>> grid_x
2025-03-14T04:34:41.4178333Z                 tensor([[1, 1, 1],
2025-03-14T04:34:41.4178770Z                         [2, 2, 2],
2025-03-14T04:34:41.4179206Z                         [3, 3, 3]])
2025-03-14T04:34:41.4179719Z                 >>> grid_y
2025-03-14T04:34:41.4180091Z                 tensor([[4, 5, 6],
2025-03-14T04:34:41.4180670Z                         [4, 5, 6],
2025-03-14T04:34:41.4181166Z                         [4, 5, 6]])
2025-03-14T04:34:41.4181608Z     
2025-03-14T04:34:41.4182118Z                 This correspondence can be seen when these grids are
2025-03-14T04:34:41.4182831Z                 stacked properly.
2025-03-14T04:34:41.4183555Z                 >>> torch.equal(torch.cat(tuple(torch.dstack([grid_x, grid_y]))),
2025-03-14T04:34:41.4184370Z                 ...             torch.cartesian_prod(x, y))
2025-03-14T04:34:41.4184982Z                 True
2025-03-14T04:34:41.4185421Z     
2025-03-14T04:34:41.4185939Z                 `torch.meshgrid` is commonly used to produce a grid for
2025-03-14T04:34:41.4186516Z                 plotting.
2025-03-14T04:34:41.4186974Z                 >>> # xdoctest: +REQUIRES(module:matplotlib)
2025-03-14T04:34:41.4187624Z                 >>> # xdoctest: +REQUIRES(env:DOCTEST_SHOW)
2025-03-14T04:34:41.4188229Z                 >>> import matplotlib.pyplot as plt
2025-03-14T04:34:41.4188910Z                 >>> xs = torch.linspace(-5, 5, steps=100)
2025-03-14T04:34:41.4189570Z                 >>> ys = torch.linspace(-5, 5, steps=100)
2025-03-14T04:34:41.4190212Z                 >>> x, y = torch.meshgrid(xs, ys, indexing='xy')
2025-03-14T04:34:41.4190874Z                 >>> z = torch.sin(torch.sqrt(x * x + y * y))
2025-03-14T04:34:41.4191432Z                 >>> ax = plt.axes(projection='3d')
2025-03-14T04:34:41.4192128Z                 >>> ax.plot_surface(x.numpy(), y.numpy(), z.numpy())
2025-03-14T04:34:41.4192732Z                 >>> plt.show()
2025-03-14T04:34:41.4193129Z     
2025-03-14T04:34:41.4193560Z             .. image:: ../_static/img/meshgrid.png
2025-03-14T04:34:41.4194150Z                 :width: 512
2025-03-14T04:34:41.4194613Z     
2025-03-14T04:34:41.4194979Z             
2025-03-14T04:34:41.4195739Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.4196411Z     
2025-03-14T04:34:41.4196730Z       warnings.warn(msg)
2025-03-14T04:34:41.4197136Z     
2025-03-14T04:34:41.4197838Z --- Parse Warning: 3 / 116 ---
2025-03-14T04:34:41.4199859Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_unique_impl in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py line=842.
2025-03-14T04:34:41.4202080Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.4203174Z     unique(input, sorted=True, return_inverse=False, return_counts=False, dim=None) -> tuple[Tensor, Tensor, Tensor]
2025-03-14T04:34:41.4204014Z     
2025-03-14T04:34:41.4204414Z         Returns the unique elements of the input tensor.
2025-03-14T04:34:41.4205049Z     
2025-03-14T04:34:41.4205797Z         .. note:: This function is different from :func:`torch.unique_consecutive` in the sense that
2025-03-14T04:34:41.4206926Z             this function also eliminates non-consecutive duplicate values.
2025-03-14T04:34:41.4207759Z     
2025-03-14T04:34:41.4208376Z         .. note:: Currently in the CUDA implementation and the CPU implementation,
2025-03-14T04:34:41.4209537Z             `torch.unique` always sort the tensor at the beginning regardless of the `sort` argument.
2025-03-14T04:34:41.4210807Z             Sorting could be slow, so if your input tensor is already sorted, it is recommended to use
2025-03-14T04:34:41.4211912Z             :func:`torch.unique_consecutive` which avoids the sorting.
2025-03-14T04:34:41.4212595Z     
2025-03-14T04:34:41.4212957Z         Args:
2025-03-14T04:34:41.4213392Z             input (Tensor): the input tensor
2025-03-14T04:34:41.4214159Z             sorted (bool): Whether to sort the unique elements in ascending order
2025-03-14T04:34:41.4214809Z                 before returning as output.
2025-03-14T04:34:41.4215429Z             return_inverse (bool): Whether to also return the indices for where
2025-03-14T04:34:41.4216222Z                 elements in the original input ended up in the returned unique list.
2025-03-14T04:34:41.4217219Z             return_counts (bool): Whether to also return the counts for each unique
2025-03-14T04:34:41.4218015Z                 element.
2025-03-14T04:34:41.4218664Z             dim (int, optional): the dimension to operate upon. If ``None``, the
2025-03-14T04:34:41.4219631Z                 unique of the flattened input is returned. Otherwise, each of the
2025-03-14T04:34:41.4220606Z                 tensors indexed by the given dimension is treated as one of the
2025-03-14T04:34:41.4221586Z                 elements to apply the unique operation upon. See examples for more
2025-03-14T04:34:41.4222396Z                 details. Default: ``None``
2025-03-14T04:34:41.4222933Z     
2025-03-14T04:34:41.4223297Z         Returns:
2025-03-14T04:34:41.4224049Z             (Tensor, Tensor (optional), Tensor (optional)): A tensor or a tuple of tensors containing
2025-03-14T04:34:41.4224871Z     
2025-03-14T04:34:41.4225406Z                 - **output** (*Tensor*): the output list of unique scalar elements.
2025-03-14T04:34:41.4226234Z                 - **inverse_indices** (*Tensor*): (optional) if
2025-03-14T04:34:41.4226960Z                   :attr:`return_inverse` is True, there will be an additional
2025-03-14T04:34:41.4227685Z                   returned tensor (same shape as input) representing the indices
2025-03-14T04:34:41.4228458Z                   for where elements in the original input map to in the output;
2025-03-14T04:34:41.4229192Z                   otherwise, this function will only return a single tensor.
2025-03-14T04:34:41.4229971Z                 - **counts** (*Tensor*): (optional) if
2025-03-14T04:34:41.4230719Z                   :attr:`return_counts` is True, there will be an additional
2025-03-14T04:34:41.4231591Z                   returned tensor (same shape as output or output.size(dim),
2025-03-14T04:34:41.4232500Z                   if dim was specified) representing the number of occurrences
2025-03-14T04:34:41.4233270Z                   for each unique value or tensor.
2025-03-14T04:34:41.4233917Z     
2025-03-14T04:34:41.4234291Z         Example::
2025-03-14T04:34:41.4234701Z     
2025-03-14T04:34:41.4235365Z             >>> output = torch.unique(torch.tensor([1, 3, 2, 3], dtype=torch.long))
2025-03-14T04:34:41.4236147Z             >>> output
2025-03-14T04:34:41.4236601Z             tensor([1, 2, 3])
2025-03-14T04:34:41.4237076Z     
2025-03-14T04:34:41.4237515Z             >>> output, inverse_indices = torch.unique(
2025-03-14T04:34:41.4238387Z             ...     torch.tensor([1, 3, 2, 3], dtype=torch.long), sorted=True, return_inverse=True)
2025-03-14T04:34:41.4239193Z             >>> output
2025-03-14T04:34:41.4239535Z             tensor([1, 2, 3])
2025-03-14T04:34:41.4239938Z             >>> inverse_indices
2025-03-14T04:34:41.4240341Z             tensor([0, 2, 1, 2])
2025-03-14T04:34:41.4240733Z     
2025-03-14T04:34:41.4241084Z             >>> output, inverse_indices = torch.unique(
2025-03-14T04:34:41.4241889Z             ...     torch.tensor([[1, 3], [2, 3]], dtype=torch.long), sorted=True, return_inverse=True)
2025-03-14T04:34:41.4242702Z             >>> output
2025-03-14T04:34:41.4243147Z             tensor([1, 2, 3])
2025-03-14T04:34:41.4243638Z             >>> inverse_indices
2025-03-14T04:34:41.4244141Z             tensor([[0, 2],
2025-03-14T04:34:41.4244613Z                     [1, 2]])
2025-03-14T04:34:41.4245067Z     
2025-03-14T04:34:41.4245493Z             >>> a = torch.tensor([
2025-03-14T04:34:41.4246004Z             ...     [
2025-03-14T04:34:41.4246439Z             ...         [1, 1, 0, 0],
2025-03-14T04:34:41.4246955Z             ...         [1, 1, 0, 0],
2025-03-14T04:34:41.4247480Z             ...         [0, 0, 1, 1],
2025-03-14T04:34:41.4247986Z             ...     ],
2025-03-14T04:34:41.4248415Z             ...     [
2025-03-14T04:34:41.4248847Z             ...         [0, 0, 1, 1],
2025-03-14T04:34:41.4249375Z             ...         [0, 0, 1, 1],
2025-03-14T04:34:41.4249896Z             ...         [1, 1, 1, 1],
2025-03-14T04:34:41.4250450Z             ...     ],
2025-03-14T04:34:41.4250879Z             ...     [
2025-03-14T04:34:41.4251316Z             ...         [1, 1, 0, 0],
2025-03-14T04:34:41.4251735Z             ...         [1, 1, 0, 0],
2025-03-14T04:34:41.4252149Z             ...         [0, 0, 1, 1],
2025-03-14T04:34:41.4252561Z             ...     ],
2025-03-14T04:34:41.4252907Z             ... ])
2025-03-14T04:34:41.4253233Z     
2025-03-14T04:34:41.4253711Z             >>> # If we call `torch.unique(a, dim=0)`, each of the tensors `a[idx, :, :]`
2025-03-14T04:34:41.4254632Z             >>> # will be compared. We can see that `a[0, :, :]` and `a[2, :, :]` match
2025-03-14T04:34:41.4255473Z             >>> # each other, so one of them will be removed.
2025-03-14T04:34:41.4256123Z             >>> (a[0, :, :] == a[2, :, :]).all()
2025-03-14T04:34:41.4256688Z             tensor(True)
2025-03-14T04:34:41.4257206Z             >>> a_unique_dim0 = torch.unique(a, dim=0)
2025-03-14T04:34:41.4257814Z             >>> a_unique_dim0
2025-03-14T04:34:41.4258319Z             tensor([[[0, 0, 1, 1],
2025-03-14T04:34:41.4258834Z                      [0, 0, 1, 1],
2025-03-14T04:34:41.4259335Z                      [1, 1, 1, 1]],
2025-03-14T04:34:41.4259824Z                     [[1, 1, 0, 0],
2025-03-14T04:34:41.4260312Z                      [1, 1, 0, 0],
2025-03-14T04:34:41.4260811Z                      [0, 0, 1, 1]]])
2025-03-14T04:34:41.4261322Z     
2025-03-14T04:34:41.4261913Z             >>> # Notice which sub-tensors from `a` match with the sub-tensors from
2025-03-14T04:34:41.4262706Z             >>> # `a_unique_dim0`:
2025-03-14T04:34:41.4263264Z             >>> (a_unique_dim0[0, :, :] == a[1, :, :]).all()
2025-03-14T04:34:41.4263868Z             tensor(True)
2025-03-14T04:34:41.4264285Z             >>> (a_unique_dim0[1, :, :] == a[0, :, :]).all()
2025-03-14T04:34:41.4264753Z             tensor(True)
2025-03-14T04:34:41.4265107Z     
2025-03-14T04:34:41.4265564Z             >>> # For `torch.unique(a, dim=1)`, each of the tensors `a[:, idx, :]` are
2025-03-14T04:34:41.4266380Z             >>> # compared. `a[:, 0, :]` and `a[:, 1, :]` match each other, so one of
2025-03-14T04:34:41.4267339Z             >>> # them will be removed.
2025-03-14T04:34:41.4267907Z             >>> (a[:, 0, :] == a[:, 1, :]).all()
2025-03-14T04:34:41.4268465Z             tensor(True)
2025-03-14T04:34:41.4268951Z             >>> torch.unique(a, dim=1)
2025-03-14T04:34:41.4269501Z             tensor([[[0, 0, 1, 1],
2025-03-14T04:34:41.4270021Z                      [1, 1, 0, 0]],
2025-03-14T04:34:41.4270526Z                     [[1, 1, 1, 1],
2025-03-14T04:34:41.4271037Z                      [0, 0, 1, 1]],
2025-03-14T04:34:41.4271547Z                     [[0, 0, 1, 1],
2025-03-14T04:34:41.4272049Z                      [1, 1, 0, 0]]])
2025-03-14T04:34:41.4272546Z     
2025-03-14T04:34:41.4273127Z             >>> # For `torch.unique(a, dim=2)`, the tensors `a[:, :, idx]` are compared.
2025-03-14T04:34:41.4274020Z             >>> # `a[:, :, 0]` and `a[:, :, 1]` match each other. Also, `a[:, :, 2]` and
2025-03-14T04:34:41.4274942Z             >>> # `a[:, :, 3]` match each other as well. So in this case, two of the
2025-03-14T04:34:41.4275756Z             >>> # sub-tensors will be removed.
2025-03-14T04:34:41.4276336Z             >>> (a[:, :, 0] == a[:, :, 1]).all()
2025-03-14T04:34:41.4276786Z             tensor(True)
2025-03-14T04:34:41.4277175Z             >>> (a[:, :, 2] == a[:, :, 3]).all()
2025-03-14T04:34:41.4277689Z             tensor(True)
2025-03-14T04:34:41.4323847Z             >>> torch.unique(a, dim=2)
2025-03-14T04:34:41.4324588Z             tensor([[[0, 1],
2025-03-14T04:34:41.4324980Z                      [0, 1],
2025-03-14T04:34:41.4325374Z                      [1, 0]],
2025-03-14T04:34:41.4325760Z                     [[1, 0],
2025-03-14T04:34:41.4326158Z                      [1, 0],
2025-03-14T04:34:41.4326551Z                      [1, 1]],
2025-03-14T04:34:41.4326951Z                     [[0, 1],
2025-03-14T04:34:41.4327453Z                      [0, 1],
2025-03-14T04:34:41.4328071Z                      [1, 0]]])
2025-03-14T04:34:41.4328553Z         
2025-03-14T04:34:41.4329251Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.4330116Z     
2025-03-14T04:34:41.4330506Z       warnings.warn(msg)
2025-03-14T04:34:41.4330981Z     
2025-03-14T04:34:41.4331593Z --- Parse Warning: 4 / 116 ---
2025-03-14T04:34:41.4333586Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py line=560.
2025-03-14T04:34:41.4335840Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.4336568Z     
2025-03-14T04:34:41.4336972Z     Load a model from a github repo or a local directory.
2025-03-14T04:34:41.4337505Z     
2025-03-14T04:34:41.4338010Z     Note: Loading a model is the typical use case, but this can also be used to
2025-03-14T04:34:41.4339046Z     for loading other objects such as tokenizers, loss functions, etc.
2025-03-14T04:34:41.4339836Z     
2025-03-14T04:34:41.4340320Z     If ``source`` is 'github', ``repo_or_dir`` is expected to be
2025-03-14T04:34:41.4341150Z     of the form ``repo_owner/repo_name[:ref]`` with an optional
2025-03-14T04:34:41.4341862Z     ref (a tag or a branch).
2025-03-14T04:34:41.4342352Z     
2025-03-14T04:34:41.4342876Z     If ``source`` is 'local', ``repo_or_dir`` is expected to be a
2025-03-14T04:34:41.4343611Z     path to a local directory.
2025-03-14T04:34:41.4344110Z     
2025-03-14T04:34:41.4344464Z     Args:
2025-03-14T04:34:41.4344937Z         repo_or_dir (str): If ``source`` is 'github',
2025-03-14T04:34:41.4345938Z             this should correspond to a github repo with format ``repo_owner/repo_name[:ref]`` with
2025-03-14T04:34:41.4347280Z             an optional ref (tag or branch), for example 'pytorch/vision:0.10'. If ``ref`` is not specified,
2025-03-14T04:34:41.4348405Z             the default branch is assumed to be ``main`` if it exists, and otherwise ``master``.
2025-03-14T04:34:41.4349279Z             If ``source`` is 'local'  then it should be a path to a local directory.
2025-03-14T04:34:41.4350159Z         model (str): the name of a callable (entrypoint) defined in the
2025-03-14T04:34:41.4350951Z             repo/dir's ``hubconf.py``.
2025-03-14T04:34:41.4351715Z         *args (optional): the corresponding args for callable ``model``.
2025-03-14T04:34:41.4352640Z         source (str, optional): 'github' or 'local'. Specifies how
2025-03-14T04:34:41.4353499Z             ``repo_or_dir`` is to be interpreted. Default is 'github'.
2025-03-14T04:34:41.4354435Z         trust_repo (bool, str or None): ``"check"``, ``True``, ``False`` or ``None``.
2025-03-14T04:34:41.4355585Z             This parameter was introduced in v1.12 and helps ensuring that users
2025-03-14T04:34:41.4356482Z             only run code from repos that they trust.
2025-03-14T04:34:41.4357170Z     
2025-03-14T04:34:41.4357744Z             - If ``False``, a prompt will ask the user whether the repo should
2025-03-14T04:34:41.4358503Z               be trusted.
2025-03-14T04:34:41.4359085Z             - If ``True``, the repo will be added to the trusted list and loaded
2025-03-14T04:34:41.4359752Z               without requiring explicit confirmation.
2025-03-14T04:34:41.4360419Z             - If ``"check"``, the repo will be checked against the list of
2025-03-14T04:34:41.4361210Z               trusted repos in the cache. If it is not present in that list, the
2025-03-14T04:34:41.4362124Z               behaviour will fall back onto the ``trust_repo=False`` option.
2025-03-14T04:34:41.4362896Z             - If ``None``: this will raise a warning, inviting the user to set
2025-03-14T04:34:41.4363633Z               ``trust_repo`` to either ``False``, ``True`` or ``"check"``. This
2025-03-14T04:34:41.4364616Z               is only present for backward compatibility and will be removed in
2025-03-14T04:34:41.4365511Z               v2.0.
2025-03-14T04:34:41.4365935Z     
2025-03-14T04:34:41.4366469Z             Default is ``None`` and will eventually change to ``"check"`` in v2.0.
2025-03-14T04:34:41.4367484Z         force_reload (bool, optional): whether to force a fresh download of
2025-03-14T04:34:41.4368052Z             the github repo unconditionally. Does not have any effect if
2025-03-14T04:34:41.4368527Z             ``source = 'local'``. Default is ``False``.
2025-03-14T04:34:41.4369000Z         verbose (bool, optional): If ``False``, mute messages about hitting
2025-03-14T04:34:41.4369622Z             local caches. Note that the message about first download cannot be
2025-03-14T04:34:41.4370286Z             muted. Does not have any effect if ``source = 'local'``.
2025-03-14T04:34:41.4370699Z             Default is ``True``.
2025-03-14T04:34:41.4371217Z         skip_validation (bool, optional): if ``False``, torchhub will check that the branch or commit
2025-03-14T04:34:41.4371958Z             specified by the ``github`` argument properly belongs to the repo owner. This will make
2025-03-14T04:34:41.4372665Z             requests to the GitHub API; you can specify a non-default GitHub token by setting the
2025-03-14T04:34:41.4373262Z             ``GITHUB_TOKEN`` environment variable. Default is ``False``.
2025-03-14T04:34:41.4373805Z         **kwargs (optional): the corresponding kwargs for callable ``model``.
2025-03-14T04:34:41.4374248Z     
2025-03-14T04:34:41.4374469Z     Returns:
2025-03-14T04:34:41.4374812Z         The output of the ``model`` callable when called with the given
2025-03-14T04:34:41.4375242Z         ``*args`` and ``**kwargs``.
2025-03-14T04:34:41.4375544Z     
2025-03-14T04:34:41.4375762Z     Example:
2025-03-14T04:34:41.4376051Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB)
2025-03-14T04:34:41.4376409Z         >>> # from a github repo
2025-03-14T04:34:41.4376724Z         >>> repo = "pytorch/vision"
2025-03-14T04:34:41.4377051Z         >>> model = torch.hub.load(
2025-03-14T04:34:41.4377566Z         ...     repo, "resnet50", weights="ResNet50_Weights.IMAGENET1K_V1"
2025-03-14T04:34:41.4377980Z         ... )
2025-03-14T04:34:41.4378233Z         >>> # from a local directory
2025-03-14T04:34:41.4378593Z         >>> path = "/some/local/path/pytorch/vision"
2025-03-14T04:34:41.4378964Z         >>> # xdoctest: +SKIP
2025-03-14T04:34:41.4379419Z         >>> model = torch.hub.load(path, "resnet50", weights="ResNet50_Weights.DEFAULT")
2025-03-14T04:34:41.4379890Z     
2025-03-14T04:34:41.4380285Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.4380758Z     
2025-03-14T04:34:41.4380993Z       warnings.warn(msg)
2025-03-14T04:34:41.4381267Z     
2025-03-14T04:34:41.4381648Z --- Parse Warning: 5 / 116 ---
2025-03-14T04:34:41.4382751Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_load_local in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py line=652.
2025-03-14T04:34:41.4384034Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.4384530Z     
2025-03-14T04:34:41.4384842Z     Load a model from a local directory with a ``hubconf.py``.
2025-03-14T04:34:41.4385226Z     
2025-03-14T04:34:41.4385448Z     Args:
2025-03-14T04:34:41.4385783Z         hubconf_dir (str): path to a local directory that contains a
2025-03-14T04:34:41.4386280Z             ``hubconf.py``.
2025-03-14T04:34:41.4386672Z         model (str): name of an entrypoint defined in the directory's
2025-03-14T04:34:41.4387097Z             ``hubconf.py``.
2025-03-14T04:34:41.4387508Z         *args (optional): the corresponding args for callable ``model``.
2025-03-14T04:34:41.4388079Z         **kwargs (optional): the corresponding kwargs for callable ``model``.
2025-03-14T04:34:41.4388526Z     
2025-03-14T04:34:41.4388753Z     Returns:
2025-03-14T04:34:41.4389077Z         a single model with corresponding pretrained weights.
2025-03-14T04:34:41.4389507Z     
2025-03-14T04:34:41.4389731Z     Example:
2025-03-14T04:34:41.4390003Z         >>> # xdoctest: +SKIP("stub local path")
2025-03-14T04:34:41.4390397Z         >>> path = "/some/local/path/pytorch/vision"
2025-03-14T04:34:41.4390767Z         >>> model = _load_local(
2025-03-14T04:34:41.4391070Z         ...     path,
2025-03-14T04:34:41.4391325Z         ...     "resnet50",
2025-03-14T04:34:41.4391662Z         ...     weights="ResNet50_Weights.IMAGENET1K_V1",
2025-03-14T04:34:41.4392023Z         ... )
2025-03-14T04:34:41.4392257Z     
2025-03-14T04:34:41.4392650Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.4393132Z     
2025-03-14T04:34:41.4393368Z       warnings.warn(msg)
2025-03-14T04:34:41.4393636Z     
2025-03-14T04:34:41.4393965Z --- Parse Warning: 6 / 116 ---
2025-03-14T04:34:41.4395179Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=download_url_to_file in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py line=691.
2025-03-14T04:34:41.4396452Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.4397006Z     Download object at the given URL to a local path.
2025-03-14T04:34:41.4397373Z     
2025-03-14T04:34:41.4397591Z         Args:
2025-03-14T04:34:41.4397871Z             url (str): URL of the object to download
2025-03-14T04:34:41.4398374Z             dst (str): Full path where object will be saved, e.g. ``/tmp/temporary_file``
2025-03-14T04:34:41.4399091Z             hash_prefix (str, optional): If not None, the SHA256 downloaded file should start with ``hash_prefix``.
2025-03-14T04:34:41.4399669Z                 Default: None
2025-03-14T04:34:41.4400131Z             progress (bool, optional): whether or not to display a progress bar to stderr
2025-03-14T04:34:41.4400630Z                 Default: True
2025-03-14T04:34:41.4400902Z     
2025-03-14T04:34:41.4401127Z         Example:
2025-03-14T04:34:41.4401474Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB)
2025-03-14T04:34:41.4401871Z             >>> # xdoctest: +REQUIRES(POSIX)
2025-03-14T04:34:41.4402237Z             >>> torch.hub.download_url_to_file(
2025-03-14T04:34:41.4402720Z             ...     "https://s3.amazonaws.com/pytorch/models/resnet18-5c106cde.pth",
2025-03-14T04:34:41.4403196Z             ...     "/tmp/temporary_file",
2025-03-14T04:34:41.4403526Z             ... )
2025-03-14T04:34:41.4403767Z     
2025-03-14T04:34:41.4403981Z         
2025-03-14T04:34:41.4404385Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.4404867Z     
2025-03-14T04:34:41.4405102Z       warnings.warn(msg)
2025-03-14T04:34:41.4405375Z     
2025-03-14T04:34:41.4405701Z --- Parse Warning: 7 / 116 ---
2025-03-14T04:34:41.4406843Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load_state_dict_from_url in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py line=816.
2025-03-14T04:34:41.4408175Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.4408740Z     Loads the Torch serialized object at the given URL.
2025-03-14T04:34:41.4409114Z     
2025-03-14T04:34:41.4409423Z         If downloaded file is a zip file, it will be automatically
2025-03-14T04:34:41.4409873Z         decompressed.
2025-03-14T04:34:41.4410136Z     
2025-03-14T04:34:41.4410491Z         If the object is already present in `model_dir`, it's deserialized and
2025-03-14T04:34:41.4410939Z         returned.
2025-03-14T04:34:41.4411321Z         The default value of ``model_dir`` is ``<hub_dir>/checkpoints`` where
2025-03-14T04:34:41.4411877Z         ``hub_dir`` is the directory returned by :func:`~torch.hub.get_dir`.
2025-03-14T04:34:41.4412298Z     
2025-03-14T04:34:41.4412518Z         Args:
2025-03-14T04:34:41.4412798Z             url (str): URL of the object to download
2025-03-14T04:34:41.4413296Z             model_dir (str, optional): directory in which to save the object
2025-03-14T04:34:41.4413989Z             map_location (optional): a function or a dict specifying how to remap storage locations (see torch.load)
2025-03-14T04:34:41.4414741Z             progress (bool, optional): whether or not to display a progress bar to stderr.
2025-03-14T04:34:41.4415237Z                 Default: True
2025-03-14T04:34:41.4415769Z             check_hash(bool, optional): If True, the filename part of the URL should follow the naming convention
2025-03-14T04:34:41.4416456Z                 ``filename-<sha256>.ext`` where ``<sha256>`` is the first eight or more
2025-03-14T04:34:41.4417050Z                 digits of the SHA256 hash of the contents of the file. The hash is used to
2025-03-14T04:34:41.4417617Z                 ensure unique names and to verify the contents of the file.
2025-03-14T04:34:41.4418046Z                 Default: False
2025-03-14T04:34:41.4418594Z             file_name (str, optional): name for the downloaded file. Filename from ``url`` will be used if not set.
2025-03-14T04:34:41.4419401Z             weights_only(bool, optional): If True, only weights will be loaded and no complex pickled objects.
2025-03-14T04:34:41.4420124Z                 Recommended for untrusted sources. See :func:`~torch.load` for more details.
2025-03-14T04:34:41.4420605Z     
2025-03-14T04:34:41.4420821Z         Example:
2025-03-14T04:34:41.4421117Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB)
2025-03-14T04:34:41.4421544Z             >>> state_dict = torch.hub.load_state_dict_from_url(
2025-03-14T04:34:41.4422048Z             ...     "https://s3.amazonaws.com/pytorch/models/resnet18-5c106cde.pth"
2025-03-14T04:34:41.4422489Z             ... )
2025-03-14T04:34:41.4422726Z     
2025-03-14T04:34:41.4422929Z         
2025-03-14T04:34:41.4423321Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.4423793Z     
2025-03-14T04:34:41.4424032Z       warnings.warn(msg)
2025-03-14T04:34:41.4424341Z     
2025-03-14T04:34:41.4424664Z --- Parse Warning: 8 / 116 ---
2025-03-14T04:34:41.4425797Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Library.fallback in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py line=376.
2025-03-14T04:34:41.4427058Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-03-14T04:34:41.4427697Z     Registers the function implementation as the fallback for the given key.
2025-03-14T04:34:41.4428160Z     
2025-03-14T04:34:41.4428509Z             This function only works for a library with global namespace ("_").
2025-03-14T04:34:41.4428945Z     
2025-03-14T04:34:41.4429152Z             Args:
2025-03-14T04:34:41.4429587Z                 fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel`
2025-03-14T04:34:41.4430120Z                     to register a fallthrough.
2025-03-14T04:34:41.4430735Z                 dispatch_key: dispatch key that the input function should be registered for. By default, it uses
2025-03-14T04:34:41.4431364Z                               the dispatch key that the library was created with.
2025-03-14T04:34:41.4432042Z                 with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument
2025-03-14T04:34:41.4432910Z                              to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls.
2025-03-14T04:34:41.4433458Z     
2025-03-14T04:34:41.4433693Z             Example::
2025-03-14T04:34:41.4433974Z                 >>> my_lib = Library("_", "IMPL")
2025-03-14T04:34:41.4434358Z                 >>> def fallback_kernel(op, *args, **kwargs):
2025-03-14T04:34:41.4434743Z                 >>>     # Handle all autocast ops generically
2025-03-14T04:34:41.4435168Z                 >>>     # ...
2025-03-14T04:34:41.4435549Z                 >>> my_lib.fallback(fallback_kernel, "Autocast")
2025-03-14T04:34:41.4435911Z             
2025-03-14T04:34:41.4436697Z     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))
2025-03-14T04:34:41.4437547Z     
2025-03-14T04:34:41.4437812Z     my_lib.fallback(fallback_kernel, "Autocast")
2025-03-14T04:34:41.4438162Z     ^
2025-03-14T04:34:41.4438394Z       warnings.warn(msg)
2025-03-14T04:34:41.4438662Z     
2025-03-14T04:34:41.4438984Z --- Parse Warning: 9 / 116 ---
2025-03-14T04:34:41.4440100Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=register_fake in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py line=920.
2025-03-14T04:34:41.4441339Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-03-14T04:34:41.4441971Z     Register a FakeTensor implementation ("fake impl") for this operator.
2025-03-14T04:34:41.4442426Z     
2025-03-14T04:34:41.4442731Z         Also sometimes known as a "meta kernel", "abstract impl".
2025-03-14T04:34:41.4443124Z     
2025-03-14T04:34:41.4443500Z         An "FakeTensor implementation" specifies the behavior of this operator on
2025-03-14T04:34:41.4444108Z         Tensors that carry no data ("FakeTensor"). Given some input Tensors with
2025-03-14T04:34:41.4444707Z         certain properties (sizes/strides/storage_offset/device), it specifies
2025-03-14T04:34:41.4445227Z         what the properties of the output Tensors are.
2025-03-14T04:34:41.4445581Z     
2025-03-14T04:34:41.4445935Z         The FakeTensor implementation has the same signature as the operator.
2025-03-14T04:34:41.4446516Z         It is run for both FakeTensors and meta tensors. To write a FakeTensor
2025-03-14T04:34:41.4447083Z         implementation, assume that all Tensor inputs to the operator are
2025-03-14T04:34:41.4447686Z         regular CPU/CUDA/Meta tensors, but they do not have storage, and
2025-03-14T04:34:41.4448238Z         you are trying to return regular CPU/CUDA/Meta tensor(s) as output.
2025-03-14T04:34:41.4448819Z         The FakeTensor implementation must consist of only PyTorch operations
2025-03-14T04:34:41.4449382Z         (and may not directly access the storage or data of any input or
2025-03-14T04:34:41.4449815Z         intermediate Tensors).
2025-03-14T04:34:41.4450103Z     
2025-03-14T04:34:41.4450387Z         This API may be used as a decorator (see examples).
2025-03-14T04:34:41.4450755Z     
2025-03-14T04:34:41.4451031Z         For a detailed guide on custom ops, please see
2025-03-14T04:34:41.4451543Z         https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html
2025-03-14T04:34:41.4451995Z     
2025-03-14T04:34:41.4452207Z         Examples:
2025-03-14T04:34:41.4452458Z             >>> import torch
2025-03-14T04:34:41.4452758Z             >>> import numpy as np
2025-03-14T04:34:41.4453121Z             >>> from torch import Tensor
2025-03-14T04:34:41.4453444Z             >>>
2025-03-14T04:34:41.4453775Z             >>> # Example 1: an operator without data-dependent output shape
2025-03-14T04:34:41.4454324Z             >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=())
2025-03-14T04:34:41.4454899Z             >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-03-14T04:34:41.4455549Z             >>>     raise NotImplementedError("Implementation goes here")
2025-03-14T04:34:41.4455954Z             >>>
2025-03-14T04:34:41.4456283Z             >>> @torch.library.register_fake("mylib::custom_linear")
2025-03-14T04:34:41.4456694Z             >>> def _(x, weight, bias):
2025-03-14T04:34:41.4457028Z             >>>     assert x.dim() == 2
2025-03-14T04:34:41.4457364Z             >>>     assert weight.dim() == 2
2025-03-14T04:34:41.4457710Z             >>>     assert bias.dim() == 1
2025-03-14T04:34:41.4458069Z             >>>     assert x.shape[1] == weight.shape[1]
2025-03-14T04:34:41.4458488Z             >>>     assert weight.shape[0] == bias.shape[0]
2025-03-14T04:34:41.4458873Z             >>>     assert x.device == weight.device
2025-03-14T04:34:41.4459206Z             >>>
2025-03-14T04:34:41.4459473Z             >>>     return (x @ weight.t()) + bias
2025-03-14T04:34:41.4459808Z             >>>
2025-03-14T04:34:41.4460136Z             >>> with torch._subclasses.fake_tensor.FakeTensorMode():
2025-03-14T04:34:41.4460565Z             >>>     x = torch.randn(2, 3)
2025-03-14T04:34:41.4460911Z             >>>     w = torch.randn(3, 3)
2025-03-14T04:34:41.4461255Z             >>>     b = torch.randn(3)
2025-03-14T04:34:41.4461617Z             >>>     y = torch.ops.mylib.custom_linear(x, w, b)
2025-03-14T04:34:41.4461985Z             >>>
2025-03-14T04:34:41.4462253Z             >>> assert y.shape == (2, 3)
2025-03-14T04:34:41.4462580Z             >>>
2025-03-14T04:34:41.4462919Z             >>> # Example 2: an operator with data-dependent output shape
2025-03-14T04:34:41.4463475Z             >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=())
2025-03-14T04:34:41.4463976Z             >>> def custom_nonzero(x: Tensor) -> Tensor:
2025-03-14T04:34:41.4464361Z             >>>     x_np = x.numpy(force=True)
2025-03-14T04:34:41.4464747Z             >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-03-14T04:34:41.4465165Z             >>>     return torch.tensor(res, device=x.device)
2025-03-14T04:34:41.4465529Z             >>>
2025-03-14T04:34:41.4465862Z             >>> @torch.library.register_fake("mylib::custom_nonzero")
2025-03-14T04:34:41.4466353Z             >>> def _(x):
2025-03-14T04:34:41.4466696Z             >>> # Number of nonzero-elements is data-dependent.
2025-03-14T04:34:41.4467391Z             >>> # Since we cannot peek at the data in an fake impl,
2025-03-14T04:34:41.4468119Z             >>> # we use the ctx object to construct a new symint that
2025-03-14T04:34:41.4468650Z             >>> # represents the data-dependent size.
2025-03-14T04:34:41.4469128Z             >>>     ctx = torch.library.get_ctx()
2025-03-14T04:34:41.4469503Z             >>>     nnz = ctx.new_dynamic_size()
2025-03-14T04:34:41.4469865Z             >>>     shape = [nnz, x.dim()]
2025-03-14T04:34:41.4470256Z             >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-03-14T04:34:41.4470631Z             >>>     return result
2025-03-14T04:34:41.4470931Z             >>>
2025-03-14T04:34:41.4471274Z             >>> from torch.fx.experimental.proxy_tensor import make_fx
2025-03-14T04:34:41.4471677Z             >>>
2025-03-14T04:34:41.4471950Z             >>> x = torch.tensor([0, 1, 2, 3, 4, 0])
2025-03-14T04:34:41.4472454Z             >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x)
2025-03-14T04:34:41.4472963Z             >>> trace.print_readable()
2025-03-14T04:34:41.4473284Z             >>>
2025-03-14T04:34:41.4473667Z             >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x))
2025-03-14T04:34:41.4474187Z     
2025-03-14T04:34:41.4474406Z         
2025-03-14T04:34:41.4475146Z     Original Error: IndentationError('expected an indented block after function definition on line 37', ('<source_block>', 38, 1, '_._ = None\n', 38, 2))
2025-03-14T04:34:41.4475905Z     
2025-03-14T04:34:41.4476126Z     _._ = None
2025-03-14T04:34:41.4476367Z     ^
2025-03-14T04:34:41.4476608Z       warnings.warn(msg)
2025-03-14T04:34:41.4476886Z     
2025-03-14T04:34:41.4477286Z --- Parse Warning: 10 / 116 ---
2025-03-14T04:34:41.4478454Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=register_autograd in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py line=1041.
2025-03-14T04:34:41.4479749Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.4480313Z     Register a backward formula for this custom op.
2025-03-14T04:34:41.4480684Z     
2025-03-14T04:34:41.4481074Z         In order for an operator to work with autograd, you need to register
2025-03-14T04:34:41.4481519Z         a backward formula:
2025-03-14T04:34:41.4481934Z         1. You must tell us how to compute gradients during the backward pass
2025-03-14T04:34:41.4482411Z         by providing us a "backward" function.
2025-03-14T04:34:41.4482885Z         2. If you need any values from the forward to compute gradients, you can
2025-03-14T04:34:41.4483392Z         use `setup_context` to save values for backward.
2025-03-14T04:34:41.4483752Z     
2025-03-14T04:34:41.4484115Z         ``backward`` runs during the backward pass. It accepts ``(ctx, *grads)``:
2025-03-14T04:34:41.4484685Z         - ``grads`` is one or more gradients. The number of gradients matches
2025-03-14T04:34:41.4485149Z         the number of outputs of the operator.
2025-03-14T04:34:41.4485624Z         The ``ctx`` object is `the same ctx object <context_method_mixins>`_ used by
2025-03-14T04:34:41.4486234Z         :class:`torch.autograd.Function`. The semantics of ``backward_fn`` are the
2025-03-14T04:34:41.4486786Z         same as :meth:`torch.autograd.Function.backward`.
2025-03-14T04:34:41.4487161Z     
2025-03-14T04:34:41.4487510Z         ``setup_context(ctx, inputs, output)`` runs during the forward pass.
2025-03-14T04:34:41.4488098Z         Please save quantities needed for backward onto the ``ctx`` object via
2025-03-14T04:34:41.4488713Z         either :meth:`torch.autograd.function.FunctionCtx.save_for_backward`
2025-03-14T04:34:41.4489292Z         or assigning them as attributes of ``ctx``. If your custom op has
2025-03-14T04:34:41.4489848Z         kwarg-only arguments, we expect the signature of ``setup_context``
2025-03-14T04:34:41.4490400Z         to be ``setup_context(ctx, inputs, keyword_only_inputs, output)``.
2025-03-14T04:34:41.4490803Z     
2025-03-14T04:34:41.4491159Z         Both ``setup_context_fn`` and ``backward_fn`` must be traceable. That is,
2025-03-14T04:34:41.4491748Z         they may not directly access :meth:`torch.Tensor.data_ptr` and they must
2025-03-14T04:34:41.4492395Z         not depend on or mutate global state. If you need a non-traceable backward,
2025-03-14T04:34:41.4493006Z         you can make it a separate custom_op that you call inside ``backward_fn``.
2025-03-14T04:34:41.4493457Z     
2025-03-14T04:34:41.4493820Z         If you need different autograd behavior on different devices, then we
2025-03-14T04:34:41.4494427Z         recommend creating two different custom operators, one for each device
2025-03-14T04:34:41.4495036Z         that needs different behavior, and switching between them at runtime.
2025-03-14T04:34:41.4495486Z     
2025-03-14T04:34:41.4495708Z         Examples:
2025-03-14T04:34:41.4495970Z             >>> import torch
2025-03-14T04:34:41.4496277Z             >>> import numpy as np
2025-03-14T04:34:41.4496612Z             >>> from torch import Tensor
2025-03-14T04:34:41.4496935Z             >>>
2025-03-14T04:34:41.4497308Z             >>> @torch.library.custom_op("mylib::numpy_sin", mutates_args=())
2025-03-14T04:34:41.4497809Z             >>> def numpy_sin(x: Tensor) -> Tensor:
2025-03-14T04:34:41.4498183Z             >>>     x_np = x.cpu().numpy()
2025-03-14T04:34:41.4498528Z             >>>     y_np = np.sin(x_np)
2025-03-14T04:34:41.4498919Z             >>>     return torch.from_numpy(y_np).to(device=x.device)
2025-03-14T04:34:41.4499297Z             >>>
2025-03-14T04:34:41.4499643Z             >>> def setup_context(ctx, inputs, output) -> Tensor:
2025-03-14T04:34:41.4500033Z             >>>     x, = inputs
2025-03-14T04:34:41.4500351Z             >>>     ctx.save_for_backward(x)
2025-03-14T04:34:41.4500684Z             >>>
2025-03-14T04:34:41.4500954Z             >>> def backward(ctx, grad):
2025-03-14T04:34:41.4501294Z             >>>     x, = ctx.saved_tensors
2025-03-14T04:34:41.4501637Z             >>>     return grad * x.cos()
2025-03-14T04:34:41.4501965Z             >>>
2025-03-14T04:34:41.4502249Z             >>> torch.library.register_autograd(
2025-03-14T04:34:41.4502702Z             ...     "mylib::numpy_sin", backward, setup_context=setup_context
2025-03-14T04:34:41.4503145Z             ... )
2025-03-14T04:34:41.4503392Z             >>>
2025-03-14T04:34:41.4503676Z             >>> x = torch.randn(3, requires_grad=True)
2025-03-14T04:34:41.4504042Z             >>> y = numpy_sin(x)
2025-03-14T04:34:41.4504423Z             >>> (grad_x,) = torch.autograd.grad(y, x, torch.ones_like(y))
2025-03-14T04:34:41.4504865Z             >>> assert torch.allclose(grad_x, x.cos())
2025-03-14T04:34:41.4505212Z             >>>
2025-03-14T04:34:41.4505473Z             >>> # Example with a keyword-only arg
2025-03-14T04:34:41.4505938Z             >>> @torch.library.custom_op("mylib::numpy_mul", mutates_args=())
2025-03-14T04:34:41.4506438Z             >>> def numpy_mul(x: Tensor, *, val: float) -> Tensor:
2025-03-14T04:34:41.4506835Z             >>>     x_np = x.cpu().numpy()
2025-03-14T04:34:41.4507174Z             >>>     y_np = x_np * val
2025-03-14T04:34:41.4507552Z             >>>     return torch.from_numpy(y_np).to(device=x.device)
2025-03-14T04:34:41.4507940Z             >>>
2025-03-14T04:34:41.4508323Z             >>> def setup_context(ctx, inputs, keyword_only_inputs, output) -> Tensor:
2025-03-14T04:34:41.4508824Z             >>>     ctx.val = keyword_only_inputs["val"]
2025-03-14T04:34:41.4509170Z             >>>
2025-03-14T04:34:41.4509438Z             >>> def backward(ctx, grad):
2025-03-14T04:34:41.4509779Z             >>>     return grad * ctx.val
2025-03-14T04:34:41.4510097Z             >>>
2025-03-14T04:34:41.4510375Z             >>> torch.library.register_autograd(
2025-03-14T04:34:41.4510816Z             ...     "mylib::numpy_mul", backward, setup_context=setup_context
2025-03-14T04:34:41.4511223Z             ... )
2025-03-14T04:34:41.4511461Z             >>>
2025-03-14T04:34:41.4511738Z             >>> x = torch.randn(3, requires_grad=True)
2025-03-14T04:34:41.4512105Z             >>> y = numpy_mul(x, val=3.14)
2025-03-14T04:34:41.4512502Z             >>> (grad_x,) = torch.autograd.grad(y, x, torch.ones_like(y))
2025-03-14T04:34:41.4513030Z             >>> assert torch.allclose(grad_x, torch.full_like(x, 3.14))
2025-03-14T04:34:41.4513428Z     
2025-03-14T04:34:41.4513650Z         
2025-03-14T04:34:41.4514051Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.4514531Z     
2025-03-14T04:34:41.4514767Z       warnings.warn(msg)
2025-03-14T04:34:41.4515045Z     
2025-03-14T04:34:41.4515519Z --- Parse Warning: 11 / 116 ---
2025-03-14T04:34:41.4516632Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=opcheck in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py line=1455.
2025-03-14T04:34:41.4517875Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.4518512Z     Given an operator and some sample arguments, tests if the operator is
2025-03-14T04:34:41.4518978Z         registered correctly.
2025-03-14T04:34:41.4519311Z     
2025-03-14T04:34:41.4519659Z         That is, when you use the torch.library/TORCH_LIBRARY APIs to create a
2025-03-14T04:34:41.4520263Z         custom op, you specified metadata (e.g. mutability info) about the custom op
2025-03-14T04:34:41.4520884Z         and these APIs require that the functions you pass them satisfy certain
2025-03-14T04:34:41.4521515Z         properties (e.g. no data pointer access in the fake/meta/abstract kernel)
2025-03-14T04:34:41.4522038Z         ``opcheck`` tests these metadata and properties.
2025-03-14T04:34:41.4522400Z     
2025-03-14T04:34:41.4522651Z         Concretely, we test the following:
2025-03-14T04:34:41.4522967Z     
2025-03-14T04:34:41.4523282Z         - test_schema: If the schema matches the implementation of
2025-03-14T04:34:41.4523825Z           the operator. For example: if the schema specifies a Tensor is mutated,
2025-03-14T04:34:41.4524404Z           then we check the implementation mutates the Tensor. If the schema
2025-03-14T04:34:41.4524985Z           specifies that we return a new Tensor, then we check that the
2025-03-14T04:34:41.4525542Z           implementation returns a new Tensor (instead of an existing one or
2025-03-14T04:34:41.4526012Z           a view of an existing one).
2025-03-14T04:34:41.4526448Z         - test_autograd_registration: If the operator supports training
2025-03-14T04:34:41.4526992Z           (autograd): we check that its autograd formula is registered via
2025-03-14T04:34:41.4527547Z           torch.library.register_autograd or a manual registration to one
2025-03-14T04:34:41.4528119Z           or more DispatchKey::Autograd keys. Any other DispatchKey-based
2025-03-14T04:34:41.4528603Z           registrations may lead to undefined behavior.
2025-03-14T04:34:41.4529065Z         - test_faketensor: If the operator has a FakeTensor kernel
2025-03-14T04:34:41.4529564Z           (and if it is correct). The FakeTensor kernel is necessary (
2025-03-14T04:34:41.4530103Z           but not sufficient) for the operator to work with PyTorch compilation
2025-03-14T04:34:41.4530697Z           APIs (torch.compile/export/FX). We check that a FakeTensor kernel
2025-03-14T04:34:41.4531255Z           (also sometimes known as a meta kernel) was registered for the
2025-03-14T04:34:41.4531786Z           operator and that it is correct. This test takes the result of
2025-03-14T04:34:41.4532319Z           running the operator on real tensors and the result of running
2025-03-14T04:34:41.4532852Z           the operator on FakeTensors and checks that they have the same
2025-03-14T04:34:41.4533342Z           Tensor metadata (sizes/strides/dtype/device/etc).
2025-03-14T04:34:41.4533837Z         - test_aot_dispatch_dynamic: If the operator has correct behavior
2025-03-14T04:34:41.4534363Z           with PyTorch compilation APIs (torch.compile/export/FX).
2025-03-14T04:34:41.4534897Z           This checks that the outputs (and gradients, if applicable) are the
2025-03-14T04:34:41.4535405Z           same under eager-mode PyTorch and torch.compile.
2025-03-14T04:34:41.4535935Z           This test is a superset of ``test_faketensor`` and is an e2e test;
2025-03-14T04:34:41.4536443Z           other things it tests are that the operator supports
2025-03-14T04:34:41.4536955Z           functionalization and that the backward pass (if it exists) also
2025-03-14T04:34:41.4537459Z           supports FakeTensor and functionalization.
2025-03-14T04:34:41.4537820Z     
2025-03-14T04:34:41.4538160Z         For best results, please call ``opcheck`` multiple times with a
2025-03-14T04:34:41.4538692Z         representative set of inputs. If your operator supports
2025-03-14T04:34:41.4539251Z         autograd, please use ``opcheck`` with inputs with ``requires_grad = True``;
2025-03-14T04:34:41.4539866Z         if your operator supports multiple devices (e.g. CPU and CUDA), please
2025-03-14T04:34:41.4540399Z         use ``opcheck`` with inputs on all supported devices.
2025-03-14T04:34:41.4540780Z     
2025-03-14T04:34:41.4541004Z         Args:
2025-03-14T04:34:41.4541370Z             op: The operator. Must either be a function decorated with
2025-03-14T04:34:41.4541913Z                 :func:`torch.library.custom_op` or an OpOverload/OpOverloadPacket
2025-03-14T04:34:41.4542496Z                 found in torch.ops.* (e.g. torch.ops.aten.sin, torch.ops.mylib.foo)
2025-03-14T04:34:41.4542971Z             args: The args to the operator
2025-03-14T04:34:41.4543379Z             kwargs: The kwargs to the operator
2025-03-14T04:34:41.4543820Z             test_utils: Tests that we should run. Default: all of them.
2025-03-14T04:34:41.4544286Z                 Example: ("test_schema", "test_faketensor")
2025-03-14T04:34:41.4544762Z             raise_exception: If we should raise an exception on the first
2025-03-14T04:34:41.4545278Z                 error. If False, we will return a dict with information
2025-03-14T04:34:41.4545705Z                 on if each test passed or not.
2025-03-14T04:34:41.4546201Z             rtol (Optional[float]): Relative tolerance for floating point comparisons.
2025-03-14T04:34:41.4546759Z                 If specified ``atol`` must also be specified.
2025-03-14T04:34:41.4547233Z                 If omitted, default values based on the ``dtype`` are selected
2025-03-14T04:34:41.4547726Z                 (see the table in :func:`torch.testing.assert_close`).
2025-03-14T04:34:41.4548275Z             atol (Optional[float]): Absolute tolerance for floating point comparisons.
2025-03-14T04:34:41.4548804Z                 If specified ``rtol`` must also be specified.
2025-03-14T04:34:41.4549277Z                 If omitted, default values based on the ``dtype`` are selected
2025-03-14T04:34:41.4549781Z                 (see the table in :func:`torch.testing.assert_close`).
2025-03-14T04:34:41.4550170Z     
2025-03-14T04:34:41.4550399Z         .. warning::
2025-03-14T04:34:41.4550656Z     
2025-03-14T04:34:41.4551020Z             opcheck and :func:`torch.autograd.gradcheck` test different things;
2025-03-14T04:34:41.4551599Z             opcheck tests if your usage of torch.library APIs is correct while
2025-03-14T04:34:41.4552181Z             :func:`torch.autograd.gradcheck` tests if your autograd formula is
2025-03-14T04:34:41.4552761Z             mathematically correct. Use both to test custom ops that support
2025-03-14T04:34:41.4553232Z             gradient computation.
2025-03-14T04:34:41.4553534Z     
2025-03-14T04:34:41.4553753Z         Example:
2025-03-14T04:34:41.4553996Z     
2025-03-14T04:34:41.4554270Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-03-14T04:34:41.4554755Z             >>> @torch.library.custom_op("mylib::numpy_mul", mutates_args=())
2025-03-14T04:34:41.4555338Z             >>> def numpy_mul(x: Tensor, y: float) -> Tensor:
2025-03-14T04:34:41.4555741Z             >>>     x_np = x.numpy(force=True)
2025-03-14T04:34:41.4556079Z             >>>     z_np = x_np * y
2025-03-14T04:34:41.4556444Z             >>>     return torch.from_numpy(z_np).to(x.device)
2025-03-14T04:34:41.4556812Z             >>>
2025-03-14T04:34:41.4557085Z             >>> @numpy_mul.register_fake
2025-03-14T04:34:41.4557503Z             >>> def _(x, y):
2025-03-14T04:34:41.4557823Z             >>>     return torch.empty_like(x)
2025-03-14T04:34:41.4558163Z             >>>
2025-03-14T04:34:41.4558452Z             >>> def setup_context(ctx, inputs, output):
2025-03-14T04:34:41.4558816Z             >>>     y, = inputs
2025-03-14T04:34:41.4559115Z             >>>     ctx.y = y
2025-03-14T04:34:41.4559406Z             >>>
2025-03-14T04:34:41.4559667Z             >>> def backward(ctx, grad):
2025-03-14T04:34:41.4560013Z             >>>     return grad * ctx.y, None
2025-03-14T04:34:41.4560340Z             >>>
2025-03-14T04:34:41.4560720Z             >>> numpy_mul.register_autograd(backward, setup_context=setup_context)
2025-03-14T04:34:41.4561172Z             >>>
2025-03-14T04:34:41.4561426Z             >>> sample_inputs = [
2025-03-14T04:34:41.4561737Z             >>>     (torch.randn(3), 3.14),
2025-03-14T04:34:41.4562106Z             >>>     (torch.randn(2, 3, device='cuda'), 2.718),
2025-03-14T04:34:41.4562561Z             >>>     (torch.randn(1, 10, requires_grad=True), 1.234),
2025-03-14T04:34:41.4563041Z             >>>     (torch.randn(64, 64, device='cuda', requires_grad=True), 90.18),
2025-03-14T04:34:41.4563462Z             >>> ]
2025-03-14T04:34:41.4563703Z             >>>
2025-03-14T04:34:41.4563969Z             >>> for args in sample_inputs:
2025-03-14T04:34:41.4564381Z             >>>     torch.library.opcheck(numpy_mul, args)
2025-03-14T04:34:41.4564736Z     
2025-03-14T04:34:41.4564953Z         
2025-03-14T04:34:41.4565352Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.4565829Z     
2025-03-14T04:34:41.4566061Z       warnings.warn(msg)
2025-03-14T04:34:41.4566335Z     
2025-03-14T04:34:41.4566679Z --- Parse Warning: 12 / 116 ---
2025-03-14T04:34:41.4567984Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py line=1283.
2025-03-14T04:34:41.4569315Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.4570063Z     load(f, map_location=None, pickle_module=pickle, *, weights_only=True, mmap=None, **pickle_load_args)
2025-03-14T04:34:41.4570625Z     
2025-03-14T04:34:41.4570944Z         Loads an object saved with :func:`torch.save` from a file.
2025-03-14T04:34:41.4571334Z     
2025-03-14T04:34:41.4571708Z         :func:`torch.load` uses Python's unpickling facilities but treats storages,
2025-03-14T04:34:41.4572322Z         which underlie tensors, specially. They are first deserialized on the
2025-03-14T04:34:41.4572918Z         CPU and are then moved to the device they were saved from. If this fails
2025-03-14T04:34:41.4573507Z         (e.g. because the run time system doesn't have certain devices), an exception
2025-03-14T04:34:41.4574138Z         is raised. However, storages can be dynamically remapped to an alternative
2025-03-14T04:34:41.4574698Z         set of devices using the :attr:`map_location` argument.
2025-03-14T04:34:41.4575087Z     
2025-03-14T04:34:41.4575471Z         If :attr:`map_location` is a callable, it will be called once for each serialized
2025-03-14T04:34:41.4576088Z         storage with two arguments: storage and location. The storage argument
2025-03-14T04:34:41.4576690Z         will be the initial deserialization of the storage, residing on the CPU.
2025-03-14T04:34:41.4577287Z         Each serialized storage has a location tag associated with it which
2025-03-14T04:34:41.4577870Z         identifies the device it was saved from, and this tag is the second
2025-03-14T04:34:41.4578483Z         argument passed to :attr:`map_location`. The builtin location tags are ``'cpu'``
2025-03-14T04:34:41.4579111Z         for CPU tensors and ``'cuda:device_id'`` (e.g. ``'cuda:2'``) for CUDA tensors.
2025-03-14T04:34:41.4579694Z         :attr:`map_location` should return either ``None`` or a storage. If
2025-03-14T04:34:41.4580361Z         :attr:`map_location` returns a storage, it will be used as the final deserialized
2025-03-14T04:34:41.4581021Z         object, already moved to the right device. Otherwise, :func:`torch.load` will
2025-03-14T04:34:41.4581662Z         fall back to the default behavior, as if :attr:`map_location` wasn't specified.
2025-03-14T04:34:41.4582140Z     
2025-03-14T04:34:41.4582517Z         If :attr:`map_location` is a :class:`torch.device` object or a string containing
2025-03-14T04:34:41.4583139Z         a device tag, it indicates the location where all tensors should be loaded.
2025-03-14T04:34:41.4583602Z     
2025-03-14T04:34:41.4584001Z         Otherwise, if :attr:`map_location` is a dict, it will be used to remap location tags
2025-03-14T04:34:41.4584615Z         appearing in the file (keys), to ones that specify where to put the
2025-03-14T04:34:41.4585064Z         storages (values).
2025-03-14T04:34:41.4585333Z     
2025-03-14T04:34:41.4585739Z         User extensions can register their own location tags and tagging and
2025-03-14T04:34:41.4586370Z         deserialization methods using :func:`torch.serialization.register_package`.
2025-03-14T04:34:41.4586858Z     
2025-03-14T04:34:41.4587074Z         Args:
2025-03-14T04:34:41.4587547Z             f: a file-like object (has to implement :meth:`read`, :meth:`readline`, :meth:`tell`, and :meth:`seek`),
2025-03-14T04:34:41.4588295Z                 or a string or os.PathLike object containing a file name
2025-03-14T04:34:41.4588941Z             map_location: a function, :class:`torch.device`, string or a dict specifying how to remap storage
2025-03-14T04:34:41.4589505Z                 locations
2025-03-14T04:34:41.4589931Z             pickle_module: module used for unpickling metadata and objects (has to
2025-03-14T04:34:41.4590485Z                 match the :attr:`pickle_module` used to serialize file)
2025-03-14T04:34:41.4591017Z             weights_only: Indicates whether unpickler should be restricted to
2025-03-14T04:34:41.4591572Z                 loading only tensors, primitive types, dictionaries
2025-03-14T04:34:41.4592097Z                 and any types added via :func:`torch.serialization.add_safe_globals`.
2025-03-14T04:34:41.4592598Z                 See :ref:`weights-only` for more details.
2025-03-14T04:34:41.4593207Z             mmap: Indicates whether the file should be mmaped rather than loading all the storages into memory.
2025-03-14T04:34:41.4594031Z                 Typically, tensor storages in the file will first be moved from disk to CPU memory, after which they
2025-03-14T04:34:41.4594861Z                 are moved to the location that they were tagged with when saving, or specified by ``map_location``. This
2025-03-14T04:34:41.4595764Z                 second step is a no-op if the final location is CPU. When the ``mmap`` flag is set, instead of copying the
2025-03-14T04:34:41.4596480Z                 tensor storages from disk to CPU memory in the first step, ``f`` is mmaped.
2025-03-14T04:34:41.4597121Z             pickle_load_args: (Python 3 only) optional keyword arguments passed over to
2025-03-14T04:34:41.4597740Z                 :func:`pickle_module.load` and :func:`pickle_module.Unpickler`, e.g.,
2025-03-14T04:34:41.4598215Z                 :attr:`errors=...`.
2025-03-14T04:34:41.4598524Z     
2025-03-14T04:34:41.4598757Z         .. warning::
2025-03-14T04:34:41.4599147Z             :func:`torch.load()` unless `weights_only` parameter is set to `True`,
2025-03-14T04:34:41.4599709Z             uses ``pickle`` module implicitly, which is known to be insecure.
2025-03-14T04:34:41.4600332Z             It is possible to construct malicious pickle data which will execute arbitrary code
2025-03-14T04:34:41.4600994Z             during unpickling. Never load data that could have come from an untrusted
2025-03-14T04:34:41.4601673Z             source in an unsafe mode, or that could have been tampered with. **Only load data you trust**.
2025-03-14T04:34:41.4602179Z     
2025-03-14T04:34:41.4602404Z         .. note::
2025-03-14T04:34:41.4602869Z             When you call :func:`torch.load()` on a file which contains GPU tensors, those tensors
2025-03-14T04:34:41.4603538Z             will be loaded to GPU by default. You can call ``torch.load(.., map_location='cpu')``
2025-03-14T04:34:41.4604216Z             and then :meth:`load_state_dict` to avoid GPU RAM surge when loading a model checkpoint.
2025-03-14T04:34:41.4604724Z     
2025-03-14T04:34:41.4604953Z         .. note::
2025-03-14T04:34:41.4605371Z             By default, we decode byte strings as ``utf-8``.  This is to avoid a common error
2025-03-14T04:34:41.4605987Z             case ``UnicodeDecodeError: 'ascii' codec can't decode byte 0x...``
2025-03-14T04:34:41.4606561Z             when loading files saved by Python 2 in Python 3.  If this default
2025-03-14T04:34:41.4607171Z             is incorrect, you may use an extra :attr:`encoding` keyword argument to specify how
2025-03-14T04:34:41.4607814Z             these objects should be loaded, e.g., :attr:`encoding='latin1'` decodes them
2025-03-14T04:34:41.4608474Z             to strings using ``latin1`` encoding, and :attr:`encoding='bytes'` keeps them
2025-03-14T04:34:41.4609088Z             as byte arrays which can be decoded later with ``byte_array.decode(...)``.
2025-03-14T04:34:41.4609544Z     
2025-03-14T04:34:41.4609764Z         Example:
2025-03-14T04:34:41.4610061Z             >>> # xdoctest: +SKIP("undefined filepaths")
2025-03-14T04:34:41.4610505Z             >>> torch.load("tensors.pt", weights_only=True)
2025-03-14T04:34:41.4610898Z             # Load all tensors onto the CPU
2025-03-14T04:34:41.4611239Z             >>> torch.load(
2025-03-14T04:34:41.4611533Z             ...     "tensors.pt",
2025-03-14T04:34:41.4611879Z             ...     map_location=torch.device("cpu"),
2025-03-14T04:34:41.4612238Z             ...     weights_only=True,
2025-03-14T04:34:41.4612552Z             ... )
2025-03-14T04:34:41.4612863Z             # Load all tensors onto the CPU, using a function
2025-03-14T04:34:41.4613279Z             >>> torch.load(
2025-03-14T04:34:41.4613577Z             ...     "tensors.pt",
2025-03-14T04:34:41.4613934Z             ...     map_location=lambda storage, loc: storage,
2025-03-14T04:34:41.4614315Z             ...     weights_only=True,
2025-03-14T04:34:41.4614632Z             ... )
2025-03-14T04:34:41.4614902Z             # Load all tensors onto GPU 1
2025-03-14T04:34:41.4615242Z             >>> torch.load(
2025-03-14T04:34:41.4615536Z             ...     "tensors.pt",
2025-03-14T04:34:41.4615911Z             ...     map_location=lambda storage, loc: storage.cuda(1),
2025-03-14T04:34:41.4616320Z             ...     weights_only=True,
2025-03-14T04:34:41.4616668Z             ... )  # type: ignore[attr-defined]
2025-03-14T04:34:41.4617041Z             # Map tensors from GPU 1 to GPU 0
2025-03-14T04:34:41.4617388Z             >>> torch.load(
2025-03-14T04:34:41.4617683Z             ...     "tensors.pt",
2025-03-14T04:34:41.4618012Z             ...     map_location={"cuda:1": "cuda:0"},
2025-03-14T04:34:41.4618388Z             ...     weights_only=True,
2025-03-14T04:34:41.4618705Z             ... )
2025-03-14T04:34:41.4618988Z             # Load tensor from io.BytesIO object
2025-03-14T04:34:41.4619505Z             # Loading from a buffer setting weights_only=False, warning this can be unsafe
2025-03-14T04:34:41.4620027Z             >>> with open("tensor.pt", "rb") as f:
2025-03-14T04:34:41.4620406Z             ...     buffer = io.BytesIO(f.read())
2025-03-14T04:34:41.4620791Z             >>> torch.load(buffer, weights_only=False)
2025-03-14T04:34:41.4621218Z             # Load a module with 'ascii' encoding for unpickling
2025-03-14T04:34:41.4621762Z             # Loading from a module setting weights_only=False, warning this can be unsafe
2025-03-14T04:34:41.4622359Z             >>> torch.load("module.pt", encoding="ascii", weights_only=False)
2025-03-14T04:34:41.4622782Z         
2025-03-14T04:34:41.4623184Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.4623669Z     
2025-03-14T04:34:41.4623940Z       warnings.warn(msg)
2025-03-14T04:34:41.4624212Z     
2025-03-14T04:34:41.4624579Z --- Parse Warning: 13 / 116 ---
2025-03-14T04:34:41.4625757Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=is_available in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/accelerator/__init__.py line=38.
2025-03-14T04:34:41.4627073Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-03-14T04:34:41.4627722Z     Check if the current accelerator is available at runtime: it was build, all the
2025-03-14T04:34:41.4628339Z         required drivers are available and at least one device is visible.
2025-03-14T04:34:41.4628849Z         See :ref:`accelerator<accelerators>` for details.
2025-03-14T04:34:41.4629214Z     
2025-03-14T04:34:41.4629309Z         Returns:
2025-03-14T04:34:41.4629598Z             bool: A boolean indicating if there is an available :ref:`accelerator<accelerators>`.
2025-03-14T04:34:41.4629733Z     
2025-03-14T04:34:41.4629834Z         Example::
2025-03-14T04:34:41.4629935Z     
2025-03-14T04:34:41.4630215Z             >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-03-14T04:34:41.4630318Z         
2025-03-14T04:34:41.4630929Z     Original Error: SyntaxError('invalid syntax', ('<source_block>', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78))
2025-03-14T04:34:41.4631032Z     
2025-03-14T04:34:41.4631305Z     assert torch.accelerator.is_available() "No available accelerators detected."
2025-03-14T04:34:41.4631426Z                                             ^
2025-03-14T04:34:41.4631533Z       warnings.warn(msg)
2025-03-14T04:34:41.4631633Z     
2025-03-14T04:34:41.4631830Z --- Parse Warning: 14 / 116 ---
2025-03-14T04:34:41.4632769Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=synchronize in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/accelerator/__init__.py line=153.
2025-03-14T04:34:41.4633079Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-03-14T04:34:41.4633309Z     Wait for all kernels in all streams on the given device to complete.
2025-03-14T04:34:41.4633399Z     
2025-03-14T04:34:41.4633502Z         Args:
2025-03-14T04:34:41.4633834Z             device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match
2025-03-14T04:34:41.4634084Z                 the current :ref:`accelerator<accelerators>` device type. If not given,
2025-03-14T04:34:41.4634292Z                 use :func:`torch.accelerator.current_device_index` by default.
2025-03-14T04:34:41.4634393Z     
2025-03-14T04:34:41.4634714Z         .. note:: This function is a no-op if the current :ref:`accelerator<accelerators>` is not initialized.
2025-03-14T04:34:41.4634818Z     
2025-03-14T04:34:41.4634916Z         Example::
2025-03-14T04:34:41.4635016Z     
2025-03-14T04:34:41.4635255Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-03-14T04:34:41.4635555Z             >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-03-14T04:34:41.4635710Z             >>> start_event = torch.Event(enable_timing=True)
2025-03-14T04:34:41.4635872Z             >>> end_event = torch.Event(enable_timing=True)
2025-03-14T04:34:41.4635986Z             >>> start_event.record()
2025-03-14T04:34:41.4636254Z             >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator())
2025-03-14T04:34:41.4636370Z             >>> sum = torch.sum(tensor)
2025-03-14T04:34:41.4636497Z             >>> end_event.record()
2025-03-14T04:34:41.4636634Z             >>> torch.accelerator.synchronize()
2025-03-14T04:34:41.4636828Z             >>> elapsed_time_ms = start_event.elapsed_time(end_event)
2025-03-14T04:34:41.4636922Z         
2025-03-14T04:34:41.4637552Z     Original Error: SyntaxError('invalid syntax', ('<source_block>', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78))
2025-03-14T04:34:41.4637644Z     
2025-03-14T04:34:41.4637929Z     assert torch.accelerator.is_available() "No available accelerators detected."
2025-03-14T04:34:41.4638034Z                                             ^
2025-03-14T04:34:41.4638157Z       warnings.warn(msg)
2025-03-14T04:34:41.4638246Z     
2025-03-14T04:34:41.4638456Z --- Parse Warning: 15 / 116 ---
2025-03-14T04:34:41.4639324Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=cudart in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/__init__.py line=396.
2025-03-14T04:34:41.4639598Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-03-14T04:34:41.4639727Z     Retrieves the CUDA runtime API module.
2025-03-14T04:34:41.4639857Z     
2025-03-14T04:34:41.4639946Z     
2025-03-14T04:34:41.4640223Z         This function initializes the CUDA runtime environment if it is not already
2025-03-14T04:34:41.4640463Z         initialized and returns the CUDA runtime API module (_cudart). The CUDA
2025-03-14T04:34:41.4640708Z         runtime API module provides access to various CUDA runtime functions.
2025-03-14T04:34:41.4640800Z     
2025-03-14T04:34:41.4640902Z         Args:
2025-03-14T04:34:41.4641021Z             ``None``
2025-03-14T04:34:41.4641123Z     
2025-03-14T04:34:41.4641216Z         Returns:
2025-03-14T04:34:41.4641382Z             module: The CUDA runtime API module (_cudart).
2025-03-14T04:34:41.4641469Z     
2025-03-14T04:34:41.4641574Z         Raises:
2025-03-14T04:34:41.4641814Z             RuntimeError: If CUDA cannot be re-initialized in a forked subprocess.
2025-03-14T04:34:41.4642198Z             AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable.
2025-03-14T04:34:41.4642316Z     
2025-03-14T04:34:41.4642471Z         Example of CUDA operations with profiling:
2025-03-14T04:34:41.4642575Z             >>> import torch
2025-03-14T04:34:41.4642735Z             >>> from torch.cuda import cudart, check_error
2025-03-14T04:34:41.4642835Z             >>> import os
2025-03-14T04:34:41.4642926Z             >>>
2025-03-14T04:34:41.4643065Z             >>> os.environ['CUDA_PROFILE'] = '1'
2025-03-14T04:34:41.4643159Z             >>>
2025-03-14T04:34:41.4643319Z             >>> def perform_cuda_operations_with_streams():
2025-03-14T04:34:41.4643443Z             >>>     stream = torch.cuda.Stream()
2025-03-14T04:34:41.4643588Z             >>>     with torch.cuda.stream(stream):
2025-03-14T04:34:41.4643724Z             >>>         x = torch.randn(100, 100, device='cuda')
2025-03-14T04:34:41.4643869Z             >>>         y = torch.randn(100, 100, device='cuda')
2025-03-14T04:34:41.4643981Z             >>>         z = torch.mul(x, y)
2025-03-14T04:34:41.4644093Z             >>>     return z
2025-03-14T04:34:41.4644187Z             >>>
2025-03-14T04:34:41.4644320Z             >>> torch.cuda.synchronize()
2025-03-14T04:34:41.4644465Z             >>> print("====== Start nsys profiling ======")
2025-03-14T04:34:41.4644622Z             >>> check_error(cudart().cudaProfilerStart())
2025-03-14T04:34:41.4644774Z             >>> with torch.autograd.profiler.emit_nvtx():
2025-03-14T04:34:41.4644952Z             >>>     result = perform_cuda_operations_with_streams()
2025-03-14T04:34:41.4645090Z             >>>     print("CUDA operations completed.")
2025-03-14T04:34:41.4645274Z             >>> check_error(torch.cuda.cudart().cudaProfilerStop())
2025-03-14T04:34:41.4645409Z             >>> print("====== End nsys profiling ======")
2025-03-14T04:34:41.4645512Z     
2025-03-14T04:34:41.4645720Z         To run this example and save the profiling information, execute:
2025-03-14T04:34:41.4646105Z             >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-03-14T04:34:41.4646199Z     
2025-03-14T04:34:41.4646495Z         This command profiles the CUDA operations in the provided script and saves
2025-03-14T04:34:41.4646701Z         the profiling information to a file named `trace_name.prof`.
2025-03-14T04:34:41.4646958Z         The `--profile-from-start off` option ensures that profiling starts only
2025-03-14T04:34:41.4647120Z         after the `cudaProfilerStart` call in the script.
2025-03-14T04:34:41.4647365Z         The `--csv` and `--print-summary` options format the profiling output as a
2025-03-14T04:34:41.4647507Z         CSV file and print a summary, respectively.
2025-03-14T04:34:41.4647778Z         The `-o` option specifies the output file name, and the `-f` option forces the
2025-03-14T04:34:41.4647943Z         overwrite of the output file if it already exists.
2025-03-14T04:34:41.4648050Z         
2025-03-14T04:34:41.4648722Z     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))
2025-03-14T04:34:41.4648854Z     
2025-03-14T04:34:41.4649215Z     $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-03-14T04:34:41.4649319Z     ^
2025-03-14T04:34:41.4649425Z       warnings.warn(msg)
2025-03-14T04:34:41.4649524Z     
2025-03-14T04:34:41.4649726Z --- Parse Warning: 16 / 116 ---
2025-03-14T04:34:41.4650662Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Future.then in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/futures/__init__.py line=105.
2025-03-14T04:34:41.4650940Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.4651040Z     
2025-03-14T04:34:41.4651278Z     Append the given callback function to this ``Future``, which will be run
2025-03-14T04:34:41.4651504Z     when the ``Future`` is completed.  Multiple callbacks can be added to
2025-03-14T04:34:41.4651768Z     the same ``Future``, but the order in which they will be executed cannot
2025-03-14T04:34:41.4651977Z     be guaranteed (to enforce a certain order consider chaining:
2025-03-14T04:34:41.4652189Z     ``fut.then(cb1).then(cb2)``). The callback must take one argument, which
2025-03-14T04:34:41.4652418Z     is the reference to this ``Future``. The callback function can use the
2025-03-14T04:34:41.4652635Z     :meth:`value` method to get the value. Note that if this ``Future`` is
2025-03-14T04:34:41.4652942Z     already completed, the given callback will be run immediately inline.
2025-03-14T04:34:41.4653263Z     
2025-03-14T04:34:41.4653518Z     If the ``Future``'s value contains tensors that reside on GPUs, the
2025-03-14T04:34:41.4653827Z     callback might be invoked while the async kernels that are populating
2025-03-14T04:34:41.4654099Z     those tensors haven't yet finished executing on the device. However, the
2025-03-14T04:34:41.4654380Z     callback will be invoked with some dedicated streams set as current
2025-03-14T04:34:41.4654661Z     (fetched from a global pool) which will be synchronized with those
2025-03-14T04:34:41.4655001Z     kernels. Hence any operation performed by the callback on these tensors
2025-03-14T04:34:41.4655253Z     will be scheduled on the device after the kernels complete. In other
2025-03-14T04:34:41.4655539Z     words, as long as the callback doesn't switch streams, it can safely
2025-03-14T04:34:41.4655811Z     manipulate the result without any additional synchronization. This is
2025-03-14T04:34:41.4656067Z     similar to the non-blocking behavior of :meth:`wait`.
2025-03-14T04:34:41.4656218Z     
2025-03-14T04:34:41.4656519Z     Similarly, if the callback returns a value that contains tensors that
2025-03-14T04:34:41.4656754Z     reside on a GPU, it can do so even if the kernels that are producing
2025-03-14T04:34:41.4657120Z     these tensors are still running on the device, as long as the callback
2025-03-14T04:34:41.4657380Z     didn't change streams during its execution. If one wants to change
2025-03-14T04:34:41.4657736Z     streams, one must be careful to re-synchronize them with the original
2025-03-14T04:34:41.4657996Z     streams, that is, those that were current when the callback was invoked.
2025-03-14T04:34:41.4658160Z     
2025-03-14T04:34:41.4658286Z     Args:
2025-03-14T04:34:41.4658561Z         callback(``Callable``): a ``Callable`` that takes this ``Future`` as
2025-03-14T04:34:41.4658748Z                                 the only argument.
2025-03-14T04:34:41.4658927Z     
2025-03-14T04:34:41.4659054Z     Returns:
2025-03-14T04:34:41.4659306Z         A new ``Future`` object that holds the return value of the
2025-03-14T04:34:41.4659525Z         ``callback`` and will be marked as completed when the given
2025-03-14T04:34:41.4659724Z         ``callback`` finishes.
2025-03-14T04:34:41.4659861Z     
2025-03-14T04:34:41.4660124Z     .. note:: Note that if the callback function throws, either
2025-03-14T04:34:41.4660412Z         through the original future being completed with an exception and
2025-03-14T04:34:41.4660700Z         calling ``fut.wait()``, or through other code in the callback, the
2025-03-14T04:34:41.4660931Z         future returned by ``then`` will be marked appropriately with the
2025-03-14T04:34:41.4661269Z         encountered error. However, if this callback later completes
2025-03-14T04:34:41.4661551Z         additional futures, those futures are not marked as completed with
2025-03-14T04:34:41.4661905Z         an error and the user is responsible for handling completion/waiting
2025-03-14T04:34:41.4662073Z         on those futures independently.
2025-03-14T04:34:41.4662219Z     
2025-03-14T04:34:41.4662389Z     Example::
2025-03-14T04:34:41.4662640Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_FUTURES)
2025-03-14T04:34:41.4662787Z         >>> def callback(fut):
2025-03-14T04:34:41.4663022Z         ...     print(f"RPC return value is {fut.wait()}.")
2025-03-14T04:34:41.4663205Z         >>> fut = torch.futures.Future()
2025-03-14T04:34:41.4663472Z         >>> # The inserted callback will print the return value when
2025-03-14T04:34:41.4663652Z         >>> # receiving the response from "worker1"
2025-03-14T04:34:41.4663851Z         >>> cb_fut = fut.then(callback)
2025-03-14T04:34:41.4663998Z         >>> chain_cb_fut = cb_fut.then(
2025-03-14T04:34:41.4664234Z         ...     lambda x : print(f"Chained cb done. {x.wait()}")
2025-03-14T04:34:41.4664339Z         ... )
2025-03-14T04:34:41.4664562Z         >>> fut.set_result(5)
2025-03-14T04:34:41.4664704Z         RPC return value is 5.
2025-03-14T04:34:41.4664893Z         Chained cb done. None
2025-03-14T04:34:41.4665012Z     
2025-03-14T04:34:41.4665335Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.4665480Z     
2025-03-14T04:34:41.4665748Z       warnings.warn(msg)
2025-03-14T04:34:41.4665870Z     
2025-03-14T04:34:41.4666161Z --- Parse Warning: 17 / 116 ---
2025-03-14T04:34:41.4667324Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Future.set_result in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/futures/__init__.py line=213.
2025-03-14T04:34:41.4667698Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.4667838Z     
2025-03-14T04:34:41.4668144Z     Set the result for this ``Future``, which will mark this ``Future`` as
2025-03-14T04:34:41.4668404Z     completed and trigger all attached callbacks. Note that a ``Future``
2025-03-14T04:34:41.4668600Z     cannot be marked completed twice.
2025-03-14T04:34:41.4668701Z     
2025-03-14T04:34:41.4669053Z     If the result contains tensors that reside on GPUs, this method can be
2025-03-14T04:34:41.4669302Z     called even if the asynchronous kernels that are populating those
2025-03-14T04:34:41.4669608Z     tensors haven't yet completed running on the device, provided that the
2025-03-14T04:34:41.4669964Z     streams on which those kernels were enqueued are set as the current ones
2025-03-14T04:34:41.4670252Z     when this method is called. Put simply, it's safe to call this method
2025-03-14T04:34:41.4670552Z     immediately after launching those kernels, without any additional
2025-03-14T04:34:41.4670897Z     synchronization, as long as one doesn't change streams in between. This
2025-03-14T04:34:41.4671160Z     method will record events on all the relevant current streams and will
2025-03-14T04:34:41.4671448Z     use them to ensure proper scheduling for all the consumers of this
2025-03-14T04:34:41.4671577Z     ``Future``.
2025-03-14T04:34:41.4671762Z     
2025-03-14T04:34:41.4671964Z     Args:
2025-03-14T04:34:41.4672220Z         result (object): the result object of this ``Future``.
2025-03-14T04:34:41.4672342Z     
2025-03-14T04:34:41.4672522Z     Example::
2025-03-14T04:34:41.4672694Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_FUTURES)
2025-03-14T04:34:41.4672980Z         >>> import threading
2025-03-14T04:34:41.4673116Z         >>> import time
2025-03-14T04:34:41.4673313Z         >>> def slow_set_future(fut, value):
2025-03-14T04:34:41.4673454Z         ...     time.sleep(0.5)
2025-03-14T04:34:41.4673632Z         ...     fut.set_result(value)
2025-03-14T04:34:41.4673819Z         >>> fut = torch.futures.Future()
2025-03-14T04:34:41.4674020Z         >>> t = threading.Thread(
2025-03-14T04:34:41.4674204Z         ...     target=slow_set_future,
2025-03-14T04:34:41.4674410Z         ...     args=(fut, torch.ones(2) * 3)
2025-03-14T04:34:41.4674533Z         ... )
2025-03-14T04:34:41.4674719Z         >>> t.start()
2025-03-14T04:34:41.4674874Z         >>> print(fut.wait())
2025-03-14T04:34:41.4675009Z         tensor([3., 3.])
2025-03-14T04:34:41.4675251Z         >>> t.join()
2025-03-14T04:34:41.4675382Z     
2025-03-14T04:34:41.4675705Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.4675923Z     
2025-03-14T04:34:41.4676123Z       warnings.warn(msg)
2025-03-14T04:34:41.4676287Z     
2025-03-14T04:34:41.4676606Z --- Parse Warning: 18 / 116 ---
2025-03-14T04:34:41.4677538Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=compile_shader in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/mps/__init__.py line=144.
2025-03-14T04:34:41.4677921Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.4678199Z     Compiles compute shader from source and allows one to invoke kernels
2025-03-14T04:34:41.4678445Z         defined there from the comfort of Python runtime
2025-03-14T04:34:41.4678579Z         Example::
2025-03-14T04:34:41.4678743Z     
2025-03-14T04:34:41.4678905Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_MPS)
2025-03-14T04:34:41.4679159Z             >>> lib = torch.mps.compile_shader(
2025-03-14T04:34:41.4679591Z             ... "kernel void full(device float* out, constant float& val, uint idx [[thread_position_in_grid]]) { out[idx] = val; }"
2025-03-14T04:34:41.4679771Z             ...  )
2025-03-14T04:34:41.4679929Z             >>> x = torch.zeros(16, device="mps")
2025-03-14T04:34:41.4680092Z             >>> lib.full(x, 3.14)
2025-03-14T04:34:41.4680243Z         
2025-03-14T04:34:41.4680607Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.4680727Z     
2025-03-14T04:34:41.4680910Z       warnings.warn(msg)
2025-03-14T04:34:41.4681031Z     
2025-03-14T04:34:41.4681374Z --- Parse Warning: 19 / 116 ---
2025-03-14T04:34:41.4682273Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=sum in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/sparse/__init__.py line=202.
2025-03-14T04:34:41.4682632Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.4682836Z     Return the sum of each row of the given sparse tensor.
2025-03-14T04:34:41.4683040Z     
2025-03-14T04:34:41.4683290Z         Returns the sum of each row of the sparse tensor :attr:`input` in the given
2025-03-14T04:34:41.4683628Z         dimensions :attr:`dim`. If :attr:`dim` is a list of dimensions,
2025-03-14T04:34:41.4683879Z         reduce over all of them. When sum over all ``sparse_dim``, this method
2025-03-14T04:34:41.4684119Z         returns a dense tensor instead of a sparse tensor.
2025-03-14T04:34:41.4684239Z     
2025-03-14T04:34:41.4684568Z         All summed :attr:`dim` are squeezed (see :func:`torch.squeeze`), resulting an output
2025-03-14T04:34:41.4684830Z         tensor having :attr:`dim` fewer dimensions than :attr:`input`.
2025-03-14T04:34:41.4685022Z     
2025-03-14T04:34:41.4685286Z         During backward, only gradients at ``nnz`` locations of :attr:`input`
2025-03-14T04:34:41.4685611Z         will propagate back. Note that the gradients of :attr:`input` is coalesced.
2025-03-14T04:34:41.4685731Z     
2025-03-14T04:34:41.4685949Z         Args:
2025-03-14T04:34:41.4686140Z             input (Tensor): the input sparse tensor
2025-03-14T04:34:41.4686502Z             dim (int or tuple of ints): a dimension or a list of dimensions to reduce. Default: reduce
2025-03-14T04:34:41.4686638Z                 over all dims.
2025-03-14T04:34:41.4687036Z             dtype (:class:`torch.dtype`, optional): the desired data type of returned Tensor.
2025-03-14T04:34:41.4687208Z                 Default: dtype of :attr:`input`.
2025-03-14T04:34:41.4687422Z     
2025-03-14T04:34:41.4687556Z         Example::
2025-03-14T04:34:41.4687720Z     
2025-03-14T04:34:41.4687846Z             >>> nnz = 3
2025-03-14T04:34:41.4688016Z             >>> dims = [5, 5, 2, 3]
2025-03-14T04:34:41.4688247Z             >>> I = torch.cat([torch.randint(0, dims[0], size=(nnz,)),
2025-03-14T04:34:41.4688533Z                                torch.randint(0, dims[1], size=(nnz,))], 0).reshape(2, nnz)
2025-03-14T04:34:41.4688698Z             >>> V = torch.randn(nnz, dims[2], dims[3])
2025-03-14T04:34:41.4688931Z             >>> size = torch.Size(dims)
2025-03-14T04:34:41.4689115Z             >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-03-14T04:34:41.4689341Z             >>> S = torch.sparse_coo_tensor(I, V, size)
2025-03-14T04:34:41.4689482Z             >>> S
2025-03-14T04:34:41.4689681Z             tensor(indices=tensor([[2, 0, 3],
2025-03-14T04:34:41.4689834Z                                    [2, 4, 1]]),
2025-03-14T04:34:41.4690047Z                    values=tensor([[[-0.6438, -1.6467,  1.4004],
2025-03-14T04:34:41.4690180Z                                    [ 0.3411,  0.0918, -0.2312]],
2025-03-14T04:34:41.4690389Z     
2025-03-14T04:34:41.4690545Z                                   [[ 0.5348,  0.0634, -2.0494],
2025-03-14T04:34:41.4690808Z                                    [-0.7125, -1.0646,  2.1844]],
2025-03-14T04:34:41.4690931Z     
2025-03-14T04:34:41.4691107Z                                   [[ 0.1276,  0.1874, -0.6334],
2025-03-14T04:34:41.4701131Z                                    [-1.9682, -0.5340,  0.7483]]]),
2025-03-14T04:34:41.4701434Z                    size=(5, 5, 2, 3), nnz=3, layout=torch.sparse_coo)
2025-03-14T04:34:41.4701538Z     
2025-03-14T04:34:41.4701751Z             # when sum over only part of sparse_dims, return a sparse tensor
2025-03-14T04:34:41.4701888Z             >>> torch.sparse.sum(S, [1, 3])
2025-03-14T04:34:41.4702016Z             tensor(indices=tensor([[0, 2, 3]]),
2025-03-14T04:34:41.4702151Z                    values=tensor([[-1.4512,  0.4073],
2025-03-14T04:34:41.4702269Z                                   [-0.8901,  0.2017],
2025-03-14T04:34:41.4702399Z                                   [-0.3183, -1.7539]]),
2025-03-14T04:34:41.4702549Z                    size=(5, 2), nnz=3, layout=torch.sparse_coo)
2025-03-14T04:34:41.4702652Z     
2025-03-14T04:34:41.4702816Z             # when sum over all sparse dim, return a dense tensor
2025-03-14T04:34:41.4702943Z             # with summed dims squeezed
2025-03-14T04:34:41.4703072Z             >>> torch.sparse.sum(S, [0, 1, 3])
2025-03-14T04:34:41.4703294Z             tensor([-2.6596, -1.1450])
2025-03-14T04:34:41.4703386Z         
2025-03-14T04:34:41.4703667Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.4703757Z     
2025-03-14T04:34:41.4703877Z       warnings.warn(msg)
2025-03-14T04:34:41.4703970Z     
2025-03-14T04:34:41.4704244Z --- Parse Warning: 20 / 116 ---
2025-03-14T04:34:41.4705114Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=vmap in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/apis.py line=39.
2025-03-14T04:34:41.4705402Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.4705495Z     
2025-03-14T04:34:41.4705739Z     vmap is the vectorizing map; ``vmap(func)`` returns a new function that
2025-03-14T04:34:41.4705948Z     maps ``func`` over some dimension of the inputs. Semantically, vmap
2025-03-14T04:34:41.4706231Z     pushes the map into PyTorch operations called by ``func``, effectively
2025-03-14T04:34:41.4706351Z     vectorizing those operations.
2025-03-14T04:34:41.4706455Z     
2025-03-14T04:34:41.4706677Z     vmap is useful for handling batch dimensions: one can write a function
2025-03-14T04:34:41.4706899Z     ``func`` that runs on examples and then lift it to a function that can
2025-03-14T04:34:41.4707152Z     take batches of examples with ``vmap(func)``. vmap can also be used to
2025-03-14T04:34:41.4707348Z     compute batched gradients when composed with autograd.
2025-03-14T04:34:41.4707437Z     
2025-03-14T04:34:41.4707553Z     .. note::
2025-03-14T04:34:41.4707748Z         :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for
2025-03-14T04:34:41.4707906Z         convenience. Use whichever one you'd like.
2025-03-14T04:34:41.4707997Z     
2025-03-14T04:34:41.4708091Z     Args:
2025-03-14T04:34:41.4708328Z         func (function): A Python function that takes one or more arguments.
2025-03-14T04:34:41.4708495Z             Must return one or more Tensors.
2025-03-14T04:34:41.4708717Z         in_dims (int or nested structure): Specifies which dimension of the
2025-03-14T04:34:41.4708904Z             inputs should be mapped over. ``in_dims`` should have a
2025-03-14T04:34:41.4709118Z             structure like the inputs. If the ``in_dim`` for a particular
2025-03-14T04:34:41.4709317Z             input is None, then that indicates there is no map dimension.
2025-03-14T04:34:41.4709430Z             Default: 0.
2025-03-14T04:34:41.4709635Z         out_dims (int or Tuple[int]): Specifies where the mapped dimension
2025-03-14T04:34:41.4709851Z             should appear in the outputs. If ``out_dims`` is a Tuple, then
2025-03-14T04:34:41.4710017Z             it should have one element per output. Default: 0.
2025-03-14T04:34:41.4710223Z         randomness (str): Specifies whether the randomness in this
2025-03-14T04:34:41.4710446Z             vmap should be the same or different across batches. If 'different',
2025-03-14T04:34:41.4710668Z             the randomness for each batch will be different. If 'same', the
2025-03-14T04:34:41.4710893Z             randomness will be the same across batches. If 'error', any calls to
2025-03-14T04:34:41.4711124Z             random functions will error. Default: 'error'. WARNING: this flag
2025-03-14T04:34:41.4711338Z             only applies to random PyTorch operations and does not apply to
2025-03-14T04:34:41.4711496Z             Python's random module or numpy randomness.
2025-03-14T04:34:41.4711732Z         chunk_size (None or int): If None (default), apply a single vmap over inputs.
2025-03-14T04:34:41.4711975Z             If not None, then compute the vmap :attr:`chunk_size` samples at a time.
2025-03-14T04:34:41.4712242Z             Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop.
2025-03-14T04:34:41.4712530Z             If you run into memory issues computing the vmap, please try a non-None chunk_size.
2025-03-14T04:34:41.4712649Z     
2025-03-14T04:34:41.4712761Z     Returns:
2025-03-14T04:34:41.4712960Z         Returns a new "batched" function. It takes the same inputs as
2025-03-14T04:34:41.4713165Z         ``func``, except each input has an extra dimension at the index
2025-03-14T04:34:41.4713365Z         specified by ``in_dims``. It takes returns the same outputs as
2025-03-14T04:34:41.4713571Z         ``func``, except each output has an extra dimension at the index
2025-03-14T04:34:41.4713684Z         specified by ``out_dims``.
2025-03-14T04:34:41.4713784Z     
2025-03-14T04:34:41.4713878Z     .. warning:
2025-03-14T04:34:41.4714099Z         :func:`vmap` works best with functional-style code. Please do not
2025-03-14T04:34:41.4714294Z         perform any side-effects in ``func``, with the exception of
2025-03-14T04:34:41.4714552Z         in-place PyTorch operations. Examples of side-effects include mutating
2025-03-14T04:34:41.4714788Z         Python data structures and assigning values to variables not captured
2025-03-14T04:34:41.4714928Z         in ``func``.
2025-03-14T04:34:41.4715017Z     
2025-03-14T04:34:41.4715380Z     One example of using :func:`vmap` is to compute batched dot products. PyTorch
2025-03-14T04:34:41.4715609Z     doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully
2025-03-14T04:34:41.4715853Z     rummaging through docs, use :func:`vmap` to construct a new function.
2025-03-14T04:34:41.4715998Z     
2025-03-14T04:34:41.4716167Z         >>> torch.dot                            # [D], [D] -> []
2025-03-14T04:34:41.4716380Z         >>> batched_dot = torch.func.vmap(torch.dot)  # [N, D], [N, D] -> [N]
2025-03-14T04:34:41.4716531Z         >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-03-14T04:34:41.4716639Z         >>> batched_dot(x, y)
2025-03-14T04:34:41.4716744Z     
2025-03-14T04:34:41.4716984Z     :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler
2025-03-14T04:34:41.4717114Z     model authoring experience.
2025-03-14T04:34:41.4717235Z     
2025-03-14T04:34:41.4717375Z         >>> batch_size, feature_size = 3, 5
2025-03-14T04:34:41.4717558Z         >>> weights = torch.randn(feature_size, requires_grad=True)
2025-03-14T04:34:41.4717663Z         >>>
2025-03-14T04:34:41.4717777Z         >>> def model(feature_vec):
2025-03-14T04:34:41.4717931Z         >>>     # Very simple linear model with activation
2025-03-14T04:34:41.4718070Z         >>>     return feature_vec.dot(weights).relu()
2025-03-14T04:34:41.4718172Z         >>>
2025-03-14T04:34:41.4718336Z         >>> examples = torch.randn(batch_size, feature_size)
2025-03-14T04:34:41.4718479Z         >>> result = torch.vmap(model)(examples)
2025-03-14T04:34:41.4718568Z     
2025-03-14T04:34:41.4718840Z     :func:`vmap` can also help vectorize computations that were previously difficult
2025-03-14T04:34:41.4719084Z     or impossible to batch. One example is higher-order gradient computation.
2025-03-14T04:34:41.4719336Z     The PyTorch autograd engine computes vjps (vector-Jacobian products).
2025-03-14T04:34:41.4719582Z     Computing a full Jacobian matrix for some function f: R^N -> R^N usually
2025-03-14T04:34:41.4719851Z     requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`,
2025-03-14T04:34:41.4720098Z     we can vectorize the whole computation, computing the Jacobian in a single
2025-03-14T04:34:41.4720223Z     call to ``autograd.grad``.
2025-03-14T04:34:41.4720314Z     
2025-03-14T04:34:41.4720422Z         >>> # Setup
2025-03-14T04:34:41.4720514Z         >>> N = 5
2025-03-14T04:34:41.4720633Z         >>> f = lambda x: x ** 2
2025-03-14T04:34:41.4720765Z         >>> x = torch.randn(N, requires_grad=True)
2025-03-14T04:34:41.4720859Z         >>> y = f(x)
2025-03-14T04:34:41.4720976Z         >>> I_N = torch.eye(N)
2025-03-14T04:34:41.4721069Z         >>>
2025-03-14T04:34:41.4721193Z         >>> # Sequential approach
2025-03-14T04:34:41.4721419Z         >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0]
2025-03-14T04:34:41.4721583Z         >>>                  for v in I_N.unbind()]
2025-03-14T04:34:41.4721715Z         >>> jacobian = torch.stack(jacobian_rows)
2025-03-14T04:34:41.4721819Z         >>>
2025-03-14T04:34:41.4721946Z         >>> # vectorized gradient computation
2025-03-14T04:34:41.4722062Z         >>> def get_vjp(v):
2025-03-14T04:34:41.4722195Z         >>>     return torch.autograd.grad(y, x, v)
2025-03-14T04:34:41.4722336Z         >>> jacobian = torch.vmap(get_vjp)(I_N)
2025-03-14T04:34:41.4722426Z     
2025-03-14T04:34:41.4722712Z     :func:`vmap` can also be nested, producing an output with multiple batched dimensions
2025-03-14T04:34:41.4722801Z     
2025-03-14T04:34:41.4722964Z         >>> torch.dot                            # [D], [D] -> []
2025-03-14T04:34:41.4723250Z         >>> batched_dot = torch.vmap(torch.vmap(torch.dot))  # [N1, N0, D], [N1, N0, D] -> [N1, N0]
2025-03-14T04:34:41.4723409Z         >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5)
2025-03-14T04:34:41.4723574Z         >>> batched_dot(x, y) # tensor of size [2, 3]
2025-03-14T04:34:41.4723678Z     
2025-03-14T04:34:41.4723932Z     If the inputs are not batched along the first dimension, ``in_dims`` specifies
2025-03-14T04:34:41.4724105Z     the dimension that each inputs are batched along as
2025-03-14T04:34:41.4724194Z     
2025-03-14T04:34:41.4724356Z         >>> torch.dot                            # [N], [N] -> []
2025-03-14T04:34:41.4724612Z         >>> batched_dot = torch.vmap(torch.dot, in_dims=1)  # [N, D], [N, D] -> [D]
2025-03-14T04:34:41.4724761Z         >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-03-14T04:34:41.4725015Z         >>> batched_dot(x, y)   # output is [5] instead of [2] if batched along the 0th dimension
2025-03-14T04:34:41.4725115Z     
2025-03-14T04:34:41.4725386Z     If there are multiple inputs each of which is batched along different dimensions,
2025-03-14T04:34:41.4725610Z     ``in_dims`` must be a tuple with the batch dimension for each input as
2025-03-14T04:34:41.4725703Z     
2025-03-14T04:34:41.4725891Z         >>> torch.dot                            # [D], [D] -> []
2025-03-14T04:34:41.4726135Z         >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None))  # [N, D], [D] -> [N]
2025-03-14T04:34:41.4726280Z         >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-03-14T04:34:41.4726531Z         >>> batched_dot(x, y) # second arg doesn't have a batch dim because in_dim[1] was None
2025-03-14T04:34:41.4726631Z     
2025-03-14T04:34:41.4726879Z     If the input is a Python struct, ``in_dims`` must be a tuple containing a struct
2025-03-14T04:34:41.4727013Z     matching the shape of the input:
2025-03-14T04:34:41.4727102Z     
2025-03-14T04:34:41.4727264Z         >>> f = lambda dict: torch.dot(dict['x'], dict['y'])
2025-03-14T04:34:41.4727395Z         >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-03-14T04:34:41.4727514Z         >>> input = {'x': x, 'y': y}
2025-03-14T04:34:41.4727700Z         >>> batched_dot = torch.vmap(f, in_dims=({'x': 0, 'y': None},))
2025-03-14T04:34:41.4727824Z         >>> batched_dot(input)
2025-03-14T04:34:41.4727914Z     
2025-03-14T04:34:41.4728210Z     By default, the output is batched along the first dimension. However, it can be batched
2025-03-14T04:34:41.4728342Z     along any dimension by using ``out_dims``
2025-03-14T04:34:41.4728442Z     
2025-03-14T04:34:41.4728547Z         >>> f = lambda x: x ** 2
2025-03-14T04:34:41.4728655Z         >>> x = torch.randn(2, 5)
2025-03-14T04:34:41.4728802Z         >>> batched_pow = torch.vmap(f, out_dims=1)
2025-03-14T04:34:41.4728912Z         >>> batched_pow(x) # [5, 2]
2025-03-14T04:34:41.4729011Z     
2025-03-14T04:34:41.4729313Z     For any function that uses kwargs, the returned function will not batch the kwargs but will
2025-03-14T04:34:41.4729423Z     accept kwargs
2025-03-14T04:34:41.4729513Z     
2025-03-14T04:34:41.4729634Z         >>> x = torch.randn([2, 5])
2025-03-14T04:34:41.4729741Z         >>> def fn(x, scale=4.):
2025-03-14T04:34:41.4729859Z         >>>   return x * scale
2025-03-14T04:34:41.4729954Z         >>>
2025-03-14T04:34:41.4730115Z         >>> batched_pow = torch.vmap(fn)
2025-03-14T04:34:41.4730271Z         >>> assert torch.allclose(batched_pow(x), x * 4)
2025-03-14T04:34:41.4730517Z         >>> batched_pow(x, scale=x) # scale is not batched, output has shape [2, 2, 5]
2025-03-14T04:34:41.4730605Z     
2025-03-14T04:34:41.4730720Z     .. note::
2025-03-14T04:34:41.4730952Z         vmap does not provide general autobatching or handle variable-length
2025-03-14T04:34:41.4731077Z         sequences out of the box.
2025-03-14T04:34:41.4731171Z     
2025-03-14T04:34:41.4731450Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.4731538Z     
2025-03-14T04:34:41.4731658Z       warnings.warn(msg)
2025-03-14T04:34:41.4731748Z     
2025-03-14T04:34:41.4731989Z --- Parse Warning: 21 / 116 ---
2025-03-14T04:34:41.4732873Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=triton_op in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/triton.py line=21.
2025-03-14T04:34:41.4733196Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.4733459Z     Create a custom operator whose implementation is backed by 1+ triton kernels.
2025-03-14T04:34:41.4733562Z     
2025-03-14T04:34:41.4733805Z         This is a more structured way of using triton kernels with PyTorch.
2025-03-14T04:34:41.4734084Z         Prefer using triton kernels with no ``torch.library`` custom operator wrappers
2025-03-14T04:34:41.4734346Z         (like :func:`torch.library.custom_op`, :func:`torch.library.triton_op`) because
2025-03-14T04:34:41.4734467Z         that is simpler;
2025-03-14T04:34:41.4734730Z         only use :func:`torch.library.custom_op`/:func:`torch.library.triton_op` if you
2025-03-14T04:34:41.4734984Z         want to create an operator that behaves like PyTorch built-in operators.
2025-03-14T04:34:41.4735215Z         For example, you may use a ``torch.library`` wrapper API to define the
2025-03-14T04:34:41.4735480Z         behavior of the triton kernel when passed a tensor subclass or under
2025-03-14T04:34:41.4735594Z         a TorchDispatchMode.
2025-03-14T04:34:41.4735695Z     
2025-03-14T04:34:41.4735957Z         Use :func:`torch.library.triton_op` instead of :func:`torch.library.custom_op`
2025-03-14T04:34:41.4736083Z         when the implementation
2025-03-14T04:34:41.4736313Z         consists of 1+ triton kernels. :func:`torch.library.custom_op` treats
2025-03-14T04:34:41.4736507Z         custom operators as opaque (:func:`torch.compile` and
2025-03-14T04:34:41.4736753Z         :func:`torch.export.export` will never trace into them), but ``triton_op``
2025-03-14T04:34:41.4736999Z         makes the implementation visible to these subsystems, allowing them
2025-03-14T04:34:41.4737123Z         to optimize the triton kernel(s).
2025-03-14T04:34:41.4737225Z     
2025-03-14T04:34:41.4737425Z         Note that ``fn`` must only consist of calls to PyTorch-understood
2025-03-14T04:34:41.4737679Z         operators and triton kernels. Any triton kernels called inside ``fn``
2025-03-14T04:34:41.4737880Z         must be wrapped in a call to :func:`torch.library.wrap_triton`.
2025-03-14T04:34:41.4737986Z     
2025-03-14T04:34:41.4738081Z         Args:
2025-03-14T04:34:41.4738328Z             name (str): A name for the custom op that looks like "{namespace}::{name}",
2025-03-14T04:34:41.4738550Z                 e.g. "mylib::my_linear". The name is used as the op's stable identifier
2025-03-14T04:34:41.4738736Z                 in PyTorch subsystems (e.g. torch.export, FX graphs).
2025-03-14T04:34:41.4738981Z                 To avoid name collisions, please use your project name as the namespace;
2025-03-14T04:34:41.4739208Z                 e.g. all custom ops in pytorch/fbgemm use "fbgemm" as the namespace.
2025-03-14T04:34:41.4739491Z             mutates_args (Iterable[str] or "unknown"): The names of args that the function mutates.
2025-03-14T04:34:41.4739782Z                 This MUST be accurate, otherwise, the behavior is undefined. If "unknown",
2025-03-14T04:34:41.4740057Z                 it pessimistically assumes that all inputs to the operator are being mutated.
2025-03-14T04:34:41.4740263Z             schema (None | str): A schema string for the operator. If None
2025-03-14T04:34:41.4740481Z                 (recommended) we'll infer a schema for the operator from its type
2025-03-14T04:34:41.4740709Z                 annotations. We recommend letting us infer a schema unless you
2025-03-14T04:34:41.4740835Z                 have a specific reason not to.
2025-03-14T04:34:41.4741006Z                 Example: "(Tensor x, int y) -> (Tensor, Tensor)".
2025-03-14T04:34:41.4741095Z     
2025-03-14T04:34:41.4741207Z         Example::
2025-03-14T04:34:41.4741295Z     
2025-03-14T04:34:41.4741456Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-03-14T04:34:41.4741561Z             >>> import torch
2025-03-14T04:34:41.4741769Z             >>> from torch.library import triton_op, wrap_triton
2025-03-14T04:34:41.4741863Z             >>>
2025-03-14T04:34:41.4741978Z             >>> import triton
2025-03-14T04:34:41.4742107Z             >>> from triton import language as tl
2025-03-14T04:34:41.4742199Z             >>>
2025-03-14T04:34:41.4742315Z             >>> @triton.jit
2025-03-14T04:34:41.4742417Z             >>> def add_kernel(
2025-03-14T04:34:41.4742555Z             >>>     in_ptr0,
2025-03-14T04:34:41.4742655Z             >>>     in_ptr1,
2025-03-14T04:34:41.4742768Z             >>>     out_ptr,
2025-03-14T04:34:41.4742867Z             >>>     n_elements,
2025-03-14T04:34:41.4743006Z             >>>     BLOCK_SIZE: "tl.constexpr",
2025-03-14T04:34:41.4743098Z             >>> ):
2025-03-14T04:34:41.4743234Z             >>>     pid = tl.program_id(axis=0)
2025-03-14T04:34:41.4743357Z             >>>     block_start = pid * BLOCK_SIZE
2025-03-14T04:34:41.4743528Z             >>>     offsets = block_start + tl.arange(0, BLOCK_SIZE)
2025-03-14T04:34:41.4743680Z             >>>     mask = offsets < n_elements
2025-03-14T04:34:41.4743830Z             >>>     x = tl.load(in_ptr0 + offsets, mask=mask)
2025-03-14T04:34:41.4743965Z             >>>     y = tl.load(in_ptr1 + offsets, mask=mask)
2025-03-14T04:34:41.4744084Z             >>>     output = x + y
2025-03-14T04:34:41.4744239Z             >>>     tl.store(out_ptr + offsets, output, mask=mask)
2025-03-14T04:34:41.4744345Z             >>>
2025-03-14T04:34:41.4744486Z             >>> @triton_op("mylib::add", mutates_args={})
2025-03-14T04:34:41.4744690Z             >>> def add(x: torch.Tensor, y: torch.Tensor) -> torch.Tensor:
2025-03-14T04:34:41.4744819Z             >>>     output = torch.empty_like(x)
2025-03-14T04:34:41.4744953Z             >>>     n_elements = output.numel()
2025-03-14T04:34:41.4745044Z             >>>
2025-03-14T04:34:41.4745160Z             >>>     def grid(meta):
2025-03-14T04:34:41.4745344Z             >>>         return (triton.cdiv(n_elements, meta["BLOCK_SIZE"]),)
2025-03-14T04:34:41.4745455Z             >>>
2025-03-14T04:34:41.4745649Z             >>>     # NB: we need to wrap the triton kernel in a call to wrap_triton
2025-03-14T04:34:41.4745857Z             >>>     wrap_triton(add_kernel)[grid](x, y, output, n_elements, 16)
2025-03-14T04:34:41.4745961Z             >>>     return output
2025-03-14T04:34:41.4746067Z             >>>
2025-03-14T04:34:41.4746171Z             >>> @torch.compile
2025-03-14T04:34:41.4746291Z             >>> def f(x, y):
2025-03-14T04:34:41.4746398Z             >>>     return add(x, y)
2025-03-14T04:34:41.4746501Z             >>>
2025-03-14T04:34:41.4746628Z             >>> x = torch.randn(3, device="cuda")
2025-03-14T04:34:41.4746764Z             >>> y = torch.randn(3, device="cuda")
2025-03-14T04:34:41.4746854Z             >>>
2025-03-14T04:34:41.4746963Z             >>> z = f(x, y)
2025-03-14T04:34:41.4747090Z             >>> assert torch.allclose(z, x + y)
2025-03-14T04:34:41.4747178Z     
2025-03-14T04:34:41.4747281Z         
2025-03-14T04:34:41.4747570Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.4747670Z     
2025-03-14T04:34:41.4747776Z       warnings.warn(msg)
2025-03-14T04:34:41.4747875Z     
2025-03-14T04:34:41.4748083Z --- Parse Warning: 22 / 116 ---
2025-03-14T04:34:41.4748995Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=wrap_triton in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/triton.py line=202.
2025-03-14T04:34:41.4749270Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.4749487Z     Allows capture of a triton kernel into a graph via make_fx or
2025-03-14T04:34:41.4749605Z         non-strict ``torch.export``.
2025-03-14T04:34:41.4749710Z     
2025-03-14T04:34:41.4749907Z         These technologies perform Dispatcher-based tracing (via
2025-03-14T04:34:41.4750133Z         ``__torch_dispatch__``) and cannot see calls to raw triton kernels.
2025-03-14T04:34:41.4750393Z         The ``wrap_triton`` API wraps a triton kernel into a callable that
2025-03-14T04:34:41.4750533Z         can actually be traced into a graph.
2025-03-14T04:34:41.4750622Z     
2025-03-14T04:34:41.4750857Z         Please use this API together with :func:`torch.library.triton_op`.
2025-03-14T04:34:41.4750946Z     
2025-03-14T04:34:41.4751055Z         Examples:
2025-03-14T04:34:41.4751169Z     
2025-03-14T04:34:41.4751294Z             >>> # xdoctest: +SKIP
2025-03-14T04:34:41.4751403Z             >>> import torch
2025-03-14T04:34:41.4751521Z             >>> import triton
2025-03-14T04:34:41.4751648Z             >>> from triton import language as tl
2025-03-14T04:34:41.4751850Z             >>> from torch.fx.experimental.proxy_tensor import make_fx
2025-03-14T04:34:41.4751988Z             >>> from torch.library import wrap_triton
2025-03-14T04:34:41.4752091Z             >>>
2025-03-14T04:34:41.4752192Z             >>> @triton.jit
2025-03-14T04:34:41.4752336Z             >>> def add_kernel(
2025-03-14T04:34:41.4752437Z             >>>     in_ptr0,
2025-03-14T04:34:41.4752548Z             >>>     in_ptr1,
2025-03-14T04:34:41.4752645Z             >>>     out_ptr,
2025-03-14T04:34:41.4752759Z             >>>     n_elements,
2025-03-14T04:34:41.4752885Z             >>>     BLOCK_SIZE: "tl.constexpr",
2025-03-14T04:34:41.4752989Z             >>> ):
2025-03-14T04:34:41.4753115Z             >>>     pid = tl.program_id(axis=0)
2025-03-14T04:34:41.4753252Z             >>>     block_start = pid * BLOCK_SIZE
2025-03-14T04:34:41.4753411Z             >>>     offsets = block_start + tl.arange(0, BLOCK_SIZE)
2025-03-14T04:34:41.4753534Z             >>>     mask = offsets < n_elements
2025-03-14T04:34:41.4753687Z             >>>     x = tl.load(in_ptr0 + offsets, mask=mask)
2025-03-14T04:34:41.4753825Z             >>>     y = tl.load(in_ptr1 + offsets, mask=mask)
2025-03-14T04:34:41.4753942Z             >>>     output = x + y
2025-03-14T04:34:41.4754105Z             >>>     tl.store(out_ptr + offsets, output, mask=mask)
2025-03-14T04:34:41.4754209Z             >>>
2025-03-14T04:34:41.4754314Z             >>> def add(x, y):
2025-03-14T04:34:41.4754449Z             >>>     output = torch.empty_like(x)
2025-03-14T04:34:41.4754574Z             >>>     n_elements = output.numel()
2025-03-14T04:34:41.4754676Z             >>>
2025-03-14T04:34:41.4754789Z             >>>     def grid_fn(meta):
2025-03-14T04:34:41.4754983Z             >>>         return (triton.cdiv(n_elements, meta["BLOCK_SIZE"]),)
2025-03-14T04:34:41.4755074Z             >>>
2025-03-14T04:34:41.4755398Z             >>>     wrap_triton(add_kernel)[grid_fn](x, y, output, n_elements, 16)
2025-03-14T04:34:41.4755505Z             >>>     return output
2025-03-14T04:34:41.4755607Z             >>>
2025-03-14T04:34:41.4755732Z             >>> x = torch.randn(3, device="cuda")
2025-03-14T04:34:41.4755869Z             >>> y = torch.randn(3, device="cuda")
2025-03-14T04:34:41.4755980Z             >>> gm = make_fx(add)(x, y)
2025-03-14T04:34:41.4756138Z             >>> print(gm.code)
2025-03-14T04:34:41.4756259Z             >>> # def forward(self, x_1, y_1):
2025-03-14T04:34:41.4756517Z             >>> #     empty_like = torch.ops.aten.empty_like.default(x_1, pin_memory = False)
2025-03-14T04:34:41.4756768Z             >>> #     triton_kernel_wrapper_mutation_proxy = triton_kernel_wrapper_mutation(
2025-03-14T04:34:41.4756921Z             >>> #         kernel_idx = 0, constant_args_idx = 0,
2025-03-14T04:34:41.4757041Z             >>> #         grid = [(1, 1, 1)], kwargs = {
2025-03-14T04:34:41.4757217Z             >>> #             'in_ptr0': x_1, 'in_ptr1': y_1, 'out_ptr': empty_like,
2025-03-14T04:34:41.4757353Z             >>> #             'n_elements': 3, 'BLOCK_SIZE': 16
2025-03-14T04:34:41.4757464Z             >>> #         })
2025-03-14T04:34:41.4757574Z             >>> #     return empty_like
2025-03-14T04:34:41.4757672Z     
2025-03-14T04:34:41.4757777Z         
2025-03-14T04:34:41.4758044Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.4758174Z     
2025-03-14T04:34:41.4758280Z       warnings.warn(msg)
2025-03-14T04:34:41.4758367Z     
2025-03-14T04:34:41.4758597Z --- Parse Warning: 23 / 116 ---
2025-03-14T04:34:41.4759579Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assert_almost_equal in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py line=326.
2025-03-14T04:34:41.4759867Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.4759968Z     
2025-03-14T04:34:41.4760184Z     Raises an AssertionError if two items are not equal up to desired
2025-03-14T04:34:41.4760283Z     precision.
2025-03-14T04:34:41.4760383Z     
2025-03-14T04:34:41.4760573Z     .. note:: It is recommended to use one of `assert_allclose`,
2025-03-14T04:34:41.4760776Z               `assert_array_almost_equal_nulp` or `assert_array_max_ulp`
2025-03-14T04:34:41.4761009Z               instead of this function for more consistent floating point
2025-03-14T04:34:41.4761128Z               comparisons.
2025-03-14T04:34:41.4761219Z     
2025-03-14T04:34:41.4761460Z     The test verifies that the elements of `actual` and `desired` satisfy.
2025-03-14T04:34:41.4761549Z     
2025-03-14T04:34:41.4761732Z         ``abs(desired-actual) < float64(1.5 * 10**(-decimal))``
2025-03-14T04:34:41.4761823Z     
2025-03-14T04:34:41.4762076Z     That is a looser test than originally documented, but agrees with what the
2025-03-14T04:34:41.4762321Z     actual implementation in `assert_array_almost_equal` did up to rounding
2025-03-14T04:34:41.4762582Z     vagaries. An exception is raised at conflicting values. For ndarrays this
2025-03-14T04:34:41.4762711Z     delegates to assert_array_almost_equal
2025-03-14T04:34:41.4762814Z     
2025-03-14T04:34:41.4762911Z     Parameters
2025-03-14T04:34:41.4763022Z     ----------
2025-03-14T04:34:41.4763131Z     actual : array_like
2025-03-14T04:34:41.4763253Z         The object to check.
2025-03-14T04:34:41.4763354Z     desired : array_like
2025-03-14T04:34:41.4763475Z         The expected object.
2025-03-14T04:34:41.4763581Z     decimal : int, optional
2025-03-14T04:34:41.4763720Z         Desired precision, default is 7.
2025-03-14T04:34:41.4763827Z     err_msg : str, optional
2025-03-14T04:34:41.4764006Z         The error message to be printed in case of failure.
2025-03-14T04:34:41.4764117Z     verbose : bool, optional
2025-03-14T04:34:41.4764345Z         If True, the conflicting values are appended to the error message.
2025-03-14T04:34:41.4764435Z     
2025-03-14T04:34:41.4764541Z     Raises
2025-03-14T04:34:41.4764633Z     ------
2025-03-14T04:34:41.4764731Z     AssertionError
2025-03-14T04:34:41.4764945Z       If actual and desired are not equal up to specified precision.
2025-03-14T04:34:41.4765033Z     
2025-03-14T04:34:41.4765133Z     See Also
2025-03-14T04:34:41.4765226Z     --------
2025-03-14T04:34:41.4765513Z     assert_allclose: Compare two array_like objects for equality with desired
2025-03-14T04:34:41.4765651Z                      relative and/or absolute precision.
2025-03-14T04:34:41.4765881Z     assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal
2025-03-14T04:34:41.4765968Z     
2025-03-14T04:34:41.4766071Z     Examples
2025-03-14T04:34:41.4766164Z     --------
2025-03-14T04:34:41.4766350Z     >>> from torch._numpy.testing import assert_almost_equal
2025-03-14T04:34:41.4766491Z     >>> assert_almost_equal(2.3333333333333, 2.33333334)
2025-03-14T04:34:41.4766682Z     >>> assert_almost_equal(2.3333333333333, 2.33333334, decimal=10)
2025-03-14T04:34:41.4766804Z     Traceback (most recent call last):
2025-03-14T04:34:41.4767072Z         ...
2025-03-14T04:34:41.4767182Z     AssertionError:
2025-03-14T04:34:41.4767329Z     Arrays are not almost equal to 10 decimals
2025-03-14T04:34:41.4767431Z      ACTUAL: 2.3333333333333
2025-03-14T04:34:41.4767544Z      DESIRED: 2.33333334
2025-03-14T04:34:41.4767718Z     
2025-03-14T04:34:41.4767891Z     >>> assert_almost_equal(np.array([1.0,2.3333333333333]),
2025-03-14T04:34:41.4768028Z     ...                     np.array([1.0,2.33333334]), decimal=9)
2025-03-14T04:34:41.4768161Z     Traceback (most recent call last):
2025-03-14T04:34:41.4768250Z         ...
2025-03-14T04:34:41.4768363Z     AssertionError:
2025-03-14T04:34:41.4768494Z     Arrays are not almost equal to 9 decimals
2025-03-14T04:34:41.4768638Z     <BLANKLINE>
2025-03-14T04:34:41.4768755Z     Mismatched elements: 1 / 2 (50%)
2025-03-14T04:34:41.4768905Z     Max absolute difference: 6.666699636781459e-09
2025-03-14T04:34:41.4769046Z     Max relative difference: 2.8571569790287484e-09
2025-03-14T04:34:41.4769207Z      x: torch.ndarray([1.0000, 2.3333], dtype=float64)
2025-03-14T04:34:41.4769351Z      y: torch.ndarray([1.0000, 2.3333], dtype=float64)
2025-03-14T04:34:41.4769438Z     
2025-03-14T04:34:41.4769534Z     
2025-03-14T04:34:41.4769800Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.4769946Z     
2025-03-14T04:34:41.4770054Z       warnings.warn(msg)
2025-03-14T04:34:41.4770152Z     
2025-03-14T04:34:41.4770377Z --- Parse Warning: 24 / 116 ---
2025-03-14T04:34:41.4771346Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assert_approx_equal in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py line=451.
2025-03-14T04:34:41.4771620Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.4771720Z     
2025-03-14T04:34:41.4771952Z     Raises an AssertionError if two items are not equal up to significant
2025-03-14T04:34:41.4772060Z     digits.
2025-03-14T04:34:41.4772149Z     
2025-03-14T04:34:41.4772347Z     .. note:: It is recommended to use one of `assert_allclose`,
2025-03-14T04:34:41.4772536Z               `assert_array_almost_equal_nulp` or `assert_array_max_ulp`
2025-03-14T04:34:41.4772750Z               instead of this function for more consistent floating point
2025-03-14T04:34:41.4772852Z               comparisons.
2025-03-14T04:34:41.4772955Z     
2025-03-14T04:34:41.4773151Z     Given two numbers, check that they are approximately equal.
2025-03-14T04:34:41.4773390Z     Approximately equal is defined as the number of significant digits
2025-03-14T04:34:41.4773486Z     that agree.
2025-03-14T04:34:41.4773583Z     
2025-03-14T04:34:41.4773678Z     Parameters
2025-03-14T04:34:41.4773783Z     ----------
2025-03-14T04:34:41.4773881Z     actual : scalar
2025-03-14T04:34:41.4773998Z         The object to check.
2025-03-14T04:34:41.4774097Z     desired : scalar
2025-03-14T04:34:41.4774214Z         The expected object.
2025-03-14T04:34:41.4774323Z     significant : int, optional
2025-03-14T04:34:41.4774455Z         Desired precision, default is 7.
2025-03-14T04:34:41.4774560Z     err_msg : str, optional
2025-03-14T04:34:41.4774738Z         The error message to be printed in case of failure.
2025-03-14T04:34:41.4774889Z     verbose : bool, optional
2025-03-14T04:34:41.4775112Z         If True, the conflicting values are appended to the error message.
2025-03-14T04:34:41.4775199Z     
2025-03-14T04:34:41.4775300Z     Raises
2025-03-14T04:34:41.4775391Z     ------
2025-03-14T04:34:41.4775491Z     AssertionError
2025-03-14T04:34:41.4775707Z       If actual and desired are not equal up to specified precision.
2025-03-14T04:34:41.4775796Z     
2025-03-14T04:34:41.4775900Z     See Also
2025-03-14T04:34:41.4775993Z     --------
2025-03-14T04:34:41.4776254Z     assert_allclose: Compare two array_like objects for equality with desired
2025-03-14T04:34:41.4776391Z                      relative and/or absolute precision.
2025-03-14T04:34:41.4776622Z     assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal
2025-03-14T04:34:41.4776712Z     
2025-03-14T04:34:41.4776816Z     Examples
2025-03-14T04:34:41.4776909Z     --------
2025-03-14T04:34:41.4777208Z     >>> np.testing.assert_approx_equal(0.12345677777777e-20, 0.1234567e-20)  # doctest: +SKIP
2025-03-14T04:34:41.4777499Z     >>> np.testing.assert_approx_equal(0.12345670e-20, 0.12345671e-20,  # doctest: +SKIP
2025-03-14T04:34:41.4777634Z     ...                                significant=8)
2025-03-14T04:34:41.4777891Z     >>> np.testing.assert_approx_equal(0.12345670e-20, 0.12345672e-20,  # doctest: +SKIP
2025-03-14T04:34:41.4778048Z     ...                                significant=8)
2025-03-14T04:34:41.4778170Z     Traceback (most recent call last):
2025-03-14T04:34:41.4778272Z         ...
2025-03-14T04:34:41.4778373Z     AssertionError:
2025-03-14T04:34:41.4778524Z     Items are not equal to 8 significant digits:
2025-03-14T04:34:41.4778626Z      ACTUAL: 1.234567e-21
2025-03-14T04:34:41.4778741Z      DESIRED: 1.2345672e-21
2025-03-14T04:34:41.4778828Z     
2025-03-14T04:34:41.4779010Z     the evaluated condition that raises the exception is
2025-03-14T04:34:41.4779098Z     
2025-03-14T04:34:41.4779291Z     >>> abs(0.12345670e-20/1e-21 - 0.12345672e-20/1e-21) >= 10**-(8-1)
2025-03-14T04:34:41.4779411Z     True
2025-03-14T04:34:41.4779510Z     
2025-03-14T04:34:41.4779595Z     
2025-03-14T04:34:41.4779867Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.4779952Z     
2025-03-14T04:34:41.4780058Z       warnings.warn(msg)
2025-03-14T04:34:41.4780153Z     
2025-03-14T04:34:41.4780356Z --- Parse Warning: 25 / 116 ---
2025-03-14T04:34:41.4781313Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assert_array_equal in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py line=730.
2025-03-14T04:34:41.4781585Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.4781686Z     
2025-03-14T04:34:41.4781904Z     Raises an AssertionError if two array_like objects are not equal.
2025-03-14T04:34:41.4782009Z     
2025-03-14T04:34:41.4782226Z     Given two array_like objects, check that the shape is equal and all
2025-03-14T04:34:41.4782468Z     elements of these objects are equal (but see the Notes for the special
2025-03-14T04:34:41.4782678Z     handling of a scalar). An exception is raised at shape mismatch or
2025-03-14T04:34:41.4782925Z     conflicting values. In contrast to the standard usage in numpy, NaNs
2025-03-14T04:34:41.4783158Z     are compared like numbers, no assertion is raised if both objects have
2025-03-14T04:34:41.4783282Z     NaNs in the same positions.
2025-03-14T04:34:41.4783369Z     
2025-03-14T04:34:41.4783620Z     The usual caution for verifying equality with floating point numbers is
2025-03-14T04:34:41.4783711Z     advised.
2025-03-14T04:34:41.4783808Z     
2025-03-14T04:34:41.4783902Z     Parameters
2025-03-14T04:34:41.4784007Z     ----------
2025-03-14T04:34:41.4784101Z     x : array_like
2025-03-14T04:34:41.4784224Z         The actual object to check.
2025-03-14T04:34:41.4784319Z     y : array_like
2025-03-14T04:34:41.4784493Z         The desired, expected object.
2025-03-14T04:34:41.4784598Z     err_msg : str, optional
2025-03-14T04:34:41.4784776Z         The error message to be printed in case of failure.
2025-03-14T04:34:41.4784885Z     verbose : bool, optional
2025-03-14T04:34:41.4785110Z         If True, the conflicting values are appended to the error message.
2025-03-14T04:34:41.4785216Z     strict : bool, optional
2025-03-14T04:34:41.4785439Z         If True, raise an AssertionError when either the shape or the data
2025-03-14T04:34:41.4785625Z         type of the array_like objects does not match. The special
2025-03-14T04:34:41.4785849Z         handling for scalars mentioned in the Notes section is disabled.
2025-03-14T04:34:41.4785939Z     
2025-03-14T04:34:41.4786044Z     Raises
2025-03-14T04:34:41.4786138Z     ------
2025-03-14T04:34:41.4786247Z     AssertionError
2025-03-14T04:34:41.4786390Z         If actual and desired objects are not equal.
2025-03-14T04:34:41.4786514Z     
2025-03-14T04:34:41.4786610Z     See Also
2025-03-14T04:34:41.4786702Z     --------
2025-03-14T04:34:41.4786962Z     assert_allclose: Compare two array_like objects for equality with desired
2025-03-14T04:34:41.4787100Z                      relative and/or absolute precision.
2025-03-14T04:34:41.4787331Z     assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal
2025-03-14T04:34:41.4787419Z     
2025-03-14T04:34:41.4787523Z     Notes
2025-03-14T04:34:41.4787641Z     -----
2025-03-14T04:34:41.4787846Z     When one of `x` and `y` is a scalar and the other is array_like, the
2025-03-14T04:34:41.4788080Z     function checks that each element of the array_like object is equal to
2025-03-14T04:34:41.4788326Z     the scalar. This behaviour can be disabled with the `strict` parameter.
2025-03-14T04:34:41.4788415Z     
2025-03-14T04:34:41.4788525Z     Examples
2025-03-14T04:34:41.4788620Z     --------
2025-03-14T04:34:41.4788780Z     The first assert does not raise an exception:
2025-03-14T04:34:41.4788897Z     
2025-03-14T04:34:41.4789078Z     >>> np.testing.assert_array_equal([1.0,2.33333,np.nan],
2025-03-14T04:34:41.4789213Z     ...                               [np.exp(0),2.33333, np.nan])
2025-03-14T04:34:41.4789313Z     
2025-03-14T04:34:41.4789549Z     Use `assert_allclose` or one of the nulp (number of floating point values)
2025-03-14T04:34:41.4789681Z     functions for these cases instead:
2025-03-14T04:34:41.4789772Z     
2025-03-14T04:34:41.4789938Z     >>> np.testing.assert_allclose([1.0,np.pi,np.nan],
2025-03-14T04:34:41.4790078Z     ...                            [1, np.sqrt(np.pi)**2, np.nan],
2025-03-14T04:34:41.4790211Z     ...                            rtol=1e-10, atol=0)
2025-03-14T04:34:41.4790299Z     
2025-03-14T04:34:41.4790522Z     As mentioned in the Notes section, `assert_array_equal` has special
2025-03-14T04:34:41.4790757Z     handling for scalars. Here the test checks that each value in `x` is 3:
2025-03-14T04:34:41.4790859Z     
2025-03-14T04:34:41.4790974Z     >>> x = np.full((2, 5), fill_value=3)
2025-03-14T04:34:41.4791117Z     >>> np.testing.assert_array_equal(x, 3)
2025-03-14T04:34:41.4791205Z     
2025-03-14T04:34:41.4791439Z     Use `strict` to raise an AssertionError when comparing a scalar with an
2025-03-14T04:34:41.4791529Z     array:
2025-03-14T04:34:41.4791624Z     
2025-03-14T04:34:41.4791780Z     >>> np.testing.assert_array_equal(x, 3, strict=True)
2025-03-14T04:34:41.4791905Z     Traceback (most recent call last):
2025-03-14T04:34:41.4792004Z         ...
2025-03-14T04:34:41.4792106Z     AssertionError:
2025-03-14T04:34:41.4792219Z     Arrays are not equal
2025-03-14T04:34:41.4792312Z     <BLANKLINE>
2025-03-14T04:34:41.4792430Z     (shapes (2, 5), () mismatch)
2025-03-14T04:34:41.4792544Z      x: torch.ndarray([[3, 3, 3, 3, 3],
2025-03-14T04:34:41.4792652Z             [3, 3, 3, 3, 3]])
2025-03-14T04:34:41.4792756Z      y: torch.ndarray(3)
2025-03-14T04:34:41.4792850Z     
2025-03-14T04:34:41.4793072Z     The `strict` parameter also ensures that the array data types match:
2025-03-14T04:34:41.4793172Z     
2025-03-14T04:34:41.4793307Z     >>> x = np.array([2, 2, 2])
2025-03-14T04:34:41.4793458Z     >>> y = np.array([2., 2., 2.], dtype=np.float32)
2025-03-14T04:34:41.4793617Z     >>> np.testing.assert_array_equal(x, y, strict=True)
2025-03-14T04:34:41.4793748Z     Traceback (most recent call last):
2025-03-14T04:34:41.4793841Z         ...
2025-03-14T04:34:41.4793953Z     AssertionError:
2025-03-14T04:34:41.4794057Z     Arrays are not equal
2025-03-14T04:34:41.4794161Z     <BLANKLINE>
2025-03-14T04:34:41.4794317Z     (dtypes dtype("int64"), dtype("float32") mismatch)
2025-03-14T04:34:41.4794439Z      x: torch.ndarray([2, 2, 2])
2025-03-14T04:34:41.4794550Z      y: torch.ndarray([2., 2., 2.])
2025-03-14T04:34:41.4794647Z     
2025-03-14T04:34:41.4794912Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.4795009Z     
2025-03-14T04:34:41.4795204Z       warnings.warn(msg)
2025-03-14T04:34:41.4795296Z     
2025-03-14T04:34:41.4795554Z --- Parse Warning: 26 / 116 ---
2025-03-14T04:34:41.4796535Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assert_array_almost_equal in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py line=836.
2025-03-14T04:34:41.4796823Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.4796936Z     
2025-03-14T04:34:41.4797174Z     Raises an AssertionError if two objects are not equal up to desired
2025-03-14T04:34:41.4797270Z     precision.
2025-03-14T04:34:41.4797369Z     
2025-03-14T04:34:41.4797608Z     .. note:: It is recommended to use one of `assert_allclose`,
2025-03-14T04:34:41.4797871Z               `assert_array_almost_equal_nulp` or `assert_array_max_ulp`
2025-03-14T04:34:41.4798069Z               instead of this function for more consistent floating point
2025-03-14T04:34:41.4798185Z               comparisons.
2025-03-14T04:34:41.4798312Z     
2025-03-14T04:34:41.4798580Z     The test verifies identical shapes and that the elements of ``actual`` and
2025-03-14T04:34:41.4798684Z     ``desired`` satisfy.
2025-03-14T04:34:41.4798788Z     
2025-03-14T04:34:41.4798933Z         ``abs(desired-actual) < 1.5 * 10**(-decimal)``
2025-03-14T04:34:41.4799035Z     
2025-03-14T04:34:41.4799271Z     That is a looser test than originally documented, but agrees with what the
2025-03-14T04:34:41.4799537Z     actual implementation did up to rounding vagaries. An exception is raised
2025-03-14T04:34:41.4799782Z     at shape mismatch or conflicting values. In contrast to the standard usage
2025-03-14T04:34:41.4800021Z     in numpy, NaNs are compared like numbers, no assertion is raised if both
2025-03-14T04:34:41.4800155Z     objects have NaNs in the same positions.
2025-03-14T04:34:41.4800259Z     
2025-03-14T04:34:41.4800354Z     Parameters
2025-03-14T04:34:41.4800460Z     ----------
2025-03-14T04:34:41.4800556Z     x : array_like
2025-03-14T04:34:41.4800682Z         The actual object to check.
2025-03-14T04:34:41.4800779Z     y : array_like
2025-03-14T04:34:41.4800907Z         The desired, expected object.
2025-03-14T04:34:41.4801014Z     decimal : int, optional
2025-03-14T04:34:41.4801146Z         Desired precision, default is 6.
2025-03-14T04:34:41.4801251Z     err_msg : str, optional
2025-03-14T04:34:41.4801424Z       The error message to be printed in case of failure.
2025-03-14T04:34:41.4801533Z     verbose : bool, optional
2025-03-14T04:34:41.4801755Z         If True, the conflicting values are appended to the error message.
2025-03-14T04:34:41.4801843Z     
2025-03-14T04:34:41.4801945Z     Raises
2025-03-14T04:34:41.4802036Z     ------
2025-03-14T04:34:41.4802132Z     AssertionError
2025-03-14T04:34:41.4802347Z         If actual and desired are not equal up to specified precision.
2025-03-14T04:34:41.4802431Z     
2025-03-14T04:34:41.4802535Z     See Also
2025-03-14T04:34:41.4802627Z     --------
2025-03-14T04:34:41.4802883Z     assert_allclose: Compare two array_like objects for equality with desired
2025-03-14T04:34:41.4803048Z                      relative and/or absolute precision.
2025-03-14T04:34:41.4803277Z     assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal
2025-03-14T04:34:41.4803360Z     
2025-03-14T04:34:41.4803464Z     Examples
2025-03-14T04:34:41.4803554Z     --------
2025-03-14T04:34:41.4803704Z     the first assert does not raise an exception
2025-03-14T04:34:41.4803791Z     
2025-03-14T04:34:41.4803983Z     >>> np.testing.assert_array_almost_equal([1.0,2.333,np.nan],
2025-03-14T04:34:41.4804104Z     ...                                      [1.0,2.333,np.nan])
2025-03-14T04:34:41.4804204Z     
2025-03-14T04:34:41.4804390Z     >>> np.testing.assert_array_almost_equal([1.0,2.33333,np.nan],
2025-03-14T04:34:41.4804536Z     ...                                      [1.0,2.33339,np.nan], decimal=5)
2025-03-14T04:34:41.4804655Z     Traceback (most recent call last):
2025-03-14T04:34:41.4804756Z         ...
2025-03-14T04:34:41.4804884Z     AssertionError:
2025-03-14T04:34:41.4805027Z     Arrays are not almost equal to 5 decimals
2025-03-14T04:34:41.4805120Z     <BLANKLINE>
2025-03-14T04:34:41.4805245Z     Mismatched elements: 1 / 3 (33.3%)
2025-03-14T04:34:41.4805382Z     Max absolute difference: 5.999999999994898e-05
2025-03-14T04:34:41.4805531Z     Max relative difference: 2.5713661239633743e-05
2025-03-14T04:34:41.4805728Z      x: torch.ndarray([1.0000, 2.3333,    nan], dtype=float64)
2025-03-14T04:34:41.4805909Z      y: torch.ndarray([1.0000, 2.3334,    nan], dtype=float64)
2025-03-14T04:34:41.4805996Z     
2025-03-14T04:34:41.4806192Z     >>> np.testing.assert_array_almost_equal([1.0,2.33333,np.nan],
2025-03-14T04:34:41.4806322Z     ...                                      [1.0,2.33333, 5], decimal=5)
2025-03-14T04:34:41.4806454Z     Traceback (most recent call last):
2025-03-14T04:34:41.4806545Z         ...
2025-03-14T04:34:41.4806657Z     AssertionError:
2025-03-14T04:34:41.4806789Z     Arrays are not almost equal to 5 decimals
2025-03-14T04:34:41.4806908Z     <BLANKLINE>
2025-03-14T04:34:41.4807041Z     x and y nan location mismatch:
2025-03-14T04:34:41.4807209Z      x: torch.ndarray([1.0000, 2.3333,    nan], dtype=float64)
2025-03-14T04:34:41.4807388Z      y: torch.ndarray([1.0000, 2.3333, 5.0000], dtype=float64)
2025-03-14T04:34:41.4807478Z     
2025-03-14T04:34:41.4807581Z     
2025-03-14T04:34:41.4807847Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.4807948Z     
2025-03-14T04:34:41.4808057Z       warnings.warn(msg)
2025-03-14T04:34:41.4808157Z     
2025-03-14T04:34:41.4808371Z --- Parse Warning: 27 / 116 ---
2025-03-14T04:34:41.4809360Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=clear_and_catch_warnings in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py line=1786.
2025-03-14T04:34:41.4809632Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.4809876Z     Context manager that resets warning registry for catching warnings
2025-03-14T04:34:41.4809963Z     
2025-03-14T04:34:41.4810231Z         Warnings can be slippery, because, whenever a warning is triggered, Python
2025-03-14T04:34:41.4810464Z         adds a ``__warningregistry__`` member to the *calling* module.  This makes
2025-03-14T04:34:41.4810725Z         it impossible to retrigger the warning in this module, whatever you put in
2025-03-14T04:34:41.4810979Z         the warnings filters.  This context manager accepts a sequence of `modules`
2025-03-14T04:34:41.4811139Z         as a keyword argument to its constructor and:
2025-03-14T04:34:41.4811226Z     
2025-03-14T04:34:41.4811477Z         * stores and removes any ``__warningregistry__`` entries in given `modules`
2025-03-14T04:34:41.4811571Z           on entry;
2025-03-14T04:34:41.4811780Z         * resets ``__warningregistry__`` to its previous state on exit.
2025-03-14T04:34:41.4811872Z     
2025-03-14T04:34:41.4812144Z         This makes it possible to trigger any warning afresh inside the context
2025-03-14T04:34:41.4812343Z         manager without disturbing the state of warnings outside.
2025-03-14T04:34:41.4812445Z     
2025-03-14T04:34:41.4812693Z         For compatibility with Python 3.0, please consider all arguments to be
2025-03-14T04:34:41.4812809Z         keyword-only.
2025-03-14T04:34:41.4812898Z     
2025-03-14T04:34:41.4813012Z         Parameters
2025-03-14T04:34:41.4813108Z         ----------
2025-03-14T04:34:41.4813235Z         record : bool, optional
2025-03-14T04:34:41.4813431Z             Specifies whether warnings should be captured by a custom
2025-03-14T04:34:41.4813691Z             implementation of ``warnings.showwarning()`` and be appended to a list
2025-03-14T04:34:41.4813909Z             returned by the context manager. Otherwise None is returned by the
2025-03-14T04:34:41.4814160Z             context manager. The objects appended to the list are arguments whose
2025-03-14T04:34:41.4814372Z             attributes mirror the arguments to ``showwarning()``.
2025-03-14T04:34:41.4814501Z         modules : sequence, optional
2025-03-14T04:34:41.4814732Z             Sequence of modules for which to reset warnings registry on entry and
2025-03-14T04:34:41.4814949Z             restore on exit. To work correctly, all 'ignore' filters should
2025-03-14T04:34:41.4815071Z             filter by one of these modules.
2025-03-14T04:34:41.4815199Z     
2025-03-14T04:34:41.4815297Z         Examples
2025-03-14T04:34:41.4815407Z         --------
2025-03-14T04:34:41.4815515Z         >>> import warnings
2025-03-14T04:34:41.4815725Z         >>> with np.testing.clear_and_catch_warnings(  # doctest: +SKIP
2025-03-14T04:34:41.4815861Z         ...         modules=[np.core.fromnumeric]):
2025-03-14T04:34:41.4816015Z         ...     warnings.simplefilter('always')
2025-03-14T04:34:41.4816248Z         ...     warnings.filterwarnings('ignore', module='np.core.fromnumeric')
2025-03-14T04:34:41.4816486Z         ...     # do something that raises a warning but ignore those in
2025-03-14T04:34:41.4816601Z         ...     # np.core.fromnumeric
2025-03-14T04:34:41.4816707Z         
2025-03-14T04:34:41.4816969Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.4817062Z     
2025-03-14T04:34:41.4817183Z       warnings.warn(msg)
2025-03-14T04:34:41.4817271Z     
2025-03-14T04:34:41.4817487Z --- Parse Warning: 28 / 116 ---
2025-03-14T04:34:41.4818433Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Conv1d in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py line=354.
2025-03-14T04:34:41.4818721Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.4818944Z     Applies a 1D convolution over a quantized input signal composed of
2025-03-14T04:34:41.4819078Z         several quantized input planes.
2025-03-14T04:34:41.4819175Z     
2025-03-14T04:34:41.4819411Z         For details on input arguments, parameters, and implementation see
2025-03-14T04:34:41.4819527Z         :class:`~torch.nn.Conv1d`.
2025-03-14T04:34:41.4819633Z     
2025-03-14T04:34:41.4819735Z         .. note::
2025-03-14T04:34:41.4819954Z             Only `zeros` is supported for the :attr:`padding_mode` argument.
2025-03-14T04:34:41.4820043Z     
2025-03-14T04:34:41.4820151Z         .. note::
2025-03-14T04:34:41.4820338Z             Only `torch.quint8` is supported for the input data type.
2025-03-14T04:34:41.4820436Z     
2025-03-14T04:34:41.4820523Z     
2025-03-14T04:34:41.4820631Z         Attributes:
2025-03-14T04:34:41.4820850Z             weight (Tensor):     packed tensor derived from the learnable weight
2025-03-14T04:34:41.4820974Z                                  parameter.
2025-03-14T04:34:41.4821128Z             scale (Tensor):      scalar for the output scale
2025-03-14T04:34:41.4821312Z             zero_point (Tensor): scalar for the output zero point
2025-03-14T04:34:41.4821432Z     
2025-03-14T04:34:41.4821608Z         See :class:`~torch.nn.Conv1d` for other attributes.
2025-03-14T04:34:41.4821698Z     
2025-03-14T04:34:41.4821810Z         Examples::
2025-03-14T04:34:41.4821898Z     
2025-03-14T04:34:41.4822064Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_QENGINE)
2025-03-14T04:34:41.4822210Z             >>> m = nn.quantized.Conv1d(16, 33, 3, stride=2)
2025-03-14T04:34:41.4822348Z             >>> input = torch.randn(20, 16, 100)
2025-03-14T04:34:41.4822467Z             >>> # quantize input to quint8
2025-03-14T04:34:41.4822589Z             >>> # xdoctest: +SKIP
2025-03-14T04:34:41.4822812Z             >>> q_input = torch.quantize_per_tensor(input, scale=1.0, zero_point=0,
2025-03-14T04:34:41.4822963Z             ...                                     dtype=torch.quint8)
2025-03-14T04:34:41.4823072Z             >>> output = m(q_input)
2025-03-14T04:34:41.4823173Z     
2025-03-14T04:34:41.4823293Z         
2025-03-14T04:34:41.4823570Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.4823658Z     
2025-03-14T04:34:41.4823766Z       warnings.warn(msg)
2025-03-14T04:34:41.4823868Z     
2025-03-14T04:34:41.4824065Z --- Parse Warning: 29 / 116 ---
2025-03-14T04:34:41.4825086Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=LSTM in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/rnn.py line=11.
2025-03-14T04:34:41.4825365Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.4825515Z     A quantized long short-term memory (LSTM).
2025-03-14T04:34:41.4825605Z     
2025-03-14T04:34:41.4825911Z         For the description and the argument types, please, refer to :class:`~torch.nn.LSTM`
2025-03-14T04:34:41.4826004Z     
2025-03-14T04:34:41.4826115Z         Attributes:
2025-03-14T04:34:41.4826282Z             layers : instances of the `_LSTMLayer`
2025-03-14T04:34:41.4826387Z     
2025-03-14T04:34:41.4826483Z         .. note::
2025-03-14T04:34:41.4826720Z             To access the weights and biases, you need to access them per layer.
2025-03-14T04:34:41.4826905Z             See examples in :class:`~torch.ao.nn.quantizable.LSTM`
2025-03-14T04:34:41.4827008Z     
2025-03-14T04:34:41.4827108Z         Examples::
2025-03-14T04:34:41.4827234Z             >>> # xdoctest: +SKIP
2025-03-14T04:34:41.4827353Z             >>> custom_module_config = {
2025-03-14T04:34:41.4827513Z             ...     'float_to_observed_custom_module_class': {
2025-03-14T04:34:41.4827648Z             ...         nn.LSTM: nn.quantizable.LSTM,
2025-03-14T04:34:41.4827753Z             ...     },
2025-03-14T04:34:41.4827914Z             ...     'observed_to_quantized_custom_module_class': {
2025-03-14T04:34:41.4828081Z             ...         nn.quantizable.LSTM: nn.quantized.LSTM,
2025-03-14T04:34:41.4828180Z             ...     }
2025-03-14T04:34:41.4828287Z             ... }
2025-03-14T04:34:41.4828518Z             >>> tq.prepare(model, prepare_custom_module_class=custom_module_config)
2025-03-14T04:34:41.4828753Z             >>> tq.convert(model, convert_custom_module_class=custom_module_config)
2025-03-14T04:34:41.4828844Z         
2025-03-14T04:34:41.4829123Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.4829214Z     
2025-03-14T04:34:41.4829334Z       warnings.warn(msg)
2025-03-14T04:34:41.4829422Z     
2025-03-14T04:34:41.4829627Z --- Parse Warning: 30 / 116 ---
2025-03-14T04:34:41.4830720Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=BaseSparsifier.squash_mask in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py line=227.
2025-03-14T04:34:41.4831003Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.4831216Z     Squashes the sparse masks into the appropriate tensors.
2025-03-14T04:34:41.4831318Z     
2025-03-14T04:34:41.4831533Z             If either the `params_to_keep` or `params_to_keep_per_layer` is set,
2025-03-14T04:34:41.4831738Z             the module will have a `sparse_params` dict attached to it.
2025-03-14T04:34:41.4831826Z     
2025-03-14T04:34:41.4831931Z             Args:
2025-03-14T04:34:41.4832129Z                 params_to_keep: List of keys to save in the module or a dict
2025-03-14T04:34:41.4832312Z                                 representing the modules and keys that will have
2025-03-14T04:34:41.4832445Z                                 sparsity parameters saved
2025-03-14T04:34:41.4832681Z                 params_to_keep_per_layer: Dict to specify the params that should be
2025-03-14T04:34:41.4832844Z                                 saved for specific layers. The keys in the dict
2025-03-14T04:34:41.4833022Z                                 should be the module fqn, while the values should
2025-03-14T04:34:41.4833220Z                                 be a list of strings with the names of the variables
2025-03-14T04:34:41.4833366Z                                 to save in the `sparse_params`
2025-03-14T04:34:41.4833455Z     
2025-03-14T04:34:41.4833566Z             Examples:
2025-03-14T04:34:41.4833707Z                 >>> # xdoctest: +SKIP("locals are undefined")
2025-03-14T04:34:41.4833869Z                 >>> # Don't save any sparse params
2025-03-14T04:34:41.4833993Z                 >>> sparsifier.squash_mask()
2025-03-14T04:34:41.4834155Z                 >>> hasattr(model.submodule1, 'sparse_params')
2025-03-14T04:34:41.4834249Z                 False
2025-03-14T04:34:41.4834349Z     
2025-03-14T04:34:41.4834476Z                 >>> # Keep sparse params per layer
2025-03-14T04:34:41.4834596Z                 >>> sparsifier.squash_mask(
2025-03-14T04:34:41.4834732Z                 ...     params_to_keep_per_layer={
2025-03-14T04:34:41.4834874Z                 ...         'submodule1.linear1': ('foo', 'bar'),
2025-03-14T04:34:41.4835053Z                 ...         'submodule2.linear42': ('baz',)
2025-03-14T04:34:41.4835257Z                 ...     })
2025-03-14T04:34:41.4835438Z                 >>> print(model.submodule1.linear1.sparse_params)
2025-03-14T04:34:41.4835545Z                 {'foo': 42, 'bar': 24}
2025-03-14T04:34:41.4835726Z                 >>> print(model.submodule2.linear42.sparse_params)
2025-03-14T04:34:41.4835829Z                 {'baz': 0.1}
2025-03-14T04:34:41.4835929Z     
2025-03-14T04:34:41.4836063Z                 >>> # Keep sparse params for all layers
2025-03-14T04:34:41.4836259Z                 >>> sparsifier.squash_mask(params_to_keep=('foo', 'bar'))
2025-03-14T04:34:41.4836424Z                 >>> print(model.submodule1.linear1.sparse_params)
2025-03-14T04:34:41.4836543Z                 {'foo': 42, 'bar': 24}
2025-03-14T04:34:41.4836710Z                 >>> print(model.submodule2.linear42.sparse_params)
2025-03-14T04:34:41.4836833Z                 {'foo': 42, 'bar': 24}
2025-03-14T04:34:41.4836922Z     
2025-03-14T04:34:41.4837142Z                 >>> # Keep some sparse params for all layers, and specific ones for
2025-03-14T04:34:41.4837253Z                 >>> # some other layers
2025-03-14T04:34:41.4837385Z                 >>> sparsifier.squash_mask(
2025-03-14T04:34:41.4837516Z                 ...     params_to_keep=('foo', 'bar'),
2025-03-14T04:34:41.4837657Z                 ...     params_to_keep_per_layer={
2025-03-14T04:34:41.4837795Z                 ...         'submodule2.linear42': ('baz',)
2025-03-14T04:34:41.4837907Z                 ...     })
2025-03-14T04:34:41.4838073Z                 >>> print(model.submodule1.linear1.sparse_params)
2025-03-14T04:34:41.4838191Z                 {'foo': 42, 'bar': 24}
2025-03-14T04:34:41.4838357Z                 >>> print(model.submodule2.linear42.sparse_params)
2025-03-14T04:34:41.4838487Z                 {'foo': 42, 'bar': 24, 'baz': 0.1}
2025-03-14T04:34:41.4838581Z             
2025-03-14T04:34:41.4838891Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.4838979Z     
2025-03-14T04:34:41.4839097Z       warnings.warn(msg)
2025-03-14T04:34:41.4839185Z     
2025-03-14T04:34:41.4839402Z --- Parse Warning: 31 / 116 ---
2025-03-14T04:34:41.4840473Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DTypeConfig in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/backend_config/backend_config.py line=181.
2025-03-14T04:34:41.4840757Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.4840846Z     
2025-03-14T04:34:41.4841121Z     Config object that specifies the supported data types passed as arguments to
2025-03-14T04:34:41.4841372Z     quantize ops in the reference model spec, for input and output activations,
2025-03-14T04:34:41.4841489Z     weights, and biases.
2025-03-14T04:34:41.4841970Z     
2025-03-14T04:34:41.4842154Z     For example, consider the following reference model:
2025-03-14T04:34:41.4842242Z     
2025-03-14T04:34:41.4842423Z       quant1 - [dequant1 - fp32_linear - quant2] - dequant2
2025-03-14T04:34:41.4842514Z     
2025-03-14T04:34:41.4842754Z     The pattern in the square brackets refers to the reference pattern of
2025-03-14T04:34:41.4843028Z     statically quantized linear. Setting the input dtype as `torch.quint8`
2025-03-14T04:34:41.4843283Z     in the DTypeConfig means we pass in `torch.quint8` as the dtype argument
2025-03-14T04:34:41.4843518Z     to the first quantize op (quant1). Similarly, setting the output dtype as
2025-03-14T04:34:41.4843761Z     `torch.quint8` means we pass in `torch.quint8` as the dtype argument to
2025-03-14T04:34:41.4843881Z     the second quantize op (quant2).
2025-03-14T04:34:41.4843985Z     
2025-03-14T04:34:41.4844213Z     Note that the dtype here does not refer to the interface dtypes of the
2025-03-14T04:34:41.4844448Z     op. For example, the "input dtype" here is not the dtype of the input
2025-03-14T04:34:41.4844700Z     tensor passed to the quantized linear op. Though it can still be the
2025-03-14T04:34:41.4844921Z     same as the interface dtype, this is not always the case, e.g. the
2025-03-14T04:34:41.4845153Z     interface dtype is fp32 in dynamic quantization but the "input dtype"
2025-03-14T04:34:41.4845393Z     specified in the DTypeConfig would still be quint8. The semantics of
2025-03-14T04:34:41.4845614Z     dtypes here are the same as the semantics of the dtypes specified in
2025-03-14T04:34:41.4845729Z     the observers.
2025-03-14T04:34:41.4845825Z     
2025-03-14T04:34:41.4846055Z     These dtypes are matched against the ones specified in the user's
2025-03-14T04:34:41.4846282Z     QConfig. If there is a match, and the QConfig satisfies the constraints
2025-03-14T04:34:41.4846527Z     specified in the DTypeConfig (if any), then we will quantize the given
2025-03-14T04:34:41.4846762Z     pattern using this DTypeConfig. Otherwise, the QConfig is ignored and
2025-03-14T04:34:41.4846905Z     the pattern will not be quantized.
2025-03-14T04:34:41.4846995Z     
2025-03-14T04:34:41.4847103Z     Example usage::
2025-03-14T04:34:41.4847210Z     
2025-03-14T04:34:41.4847326Z         >>> # xdoctest: +SKIP(failing)
2025-03-14T04:34:41.4847465Z         >>> dtype_config1 = DTypeConfig(
2025-03-14T04:34:41.4847584Z         ...     input_dtype=torch.quint8,
2025-03-14T04:34:41.4847718Z         ...     output_dtype=torch.quint8,
2025-03-14T04:34:41.4847837Z         ...     weight_dtype=torch.qint8,
2025-03-14T04:34:41.4847967Z         ...     bias_dtype=torch.float)
2025-03-14T04:34:41.4848058Z     
2025-03-14T04:34:41.4848192Z         >>> dtype_config2 = DTypeConfig(
2025-03-14T04:34:41.4848332Z         ...     input_dtype=DTypeWithConstraints(
2025-03-14T04:34:41.4848459Z         ...         dtype=torch.quint8,
2025-03-14T04:34:41.4848579Z         ...         quant_min_lower_bound=0,
2025-03-14T04:34:41.4848716Z         ...         quant_max_upper_bound=255,
2025-03-14T04:34:41.4848835Z         ...     ),
2025-03-14T04:34:41.4848986Z         ...     output_dtype=DTypeWithConstraints(
2025-03-14T04:34:41.4849096Z         ...         dtype=torch.quint8,
2025-03-14T04:34:41.4849222Z         ...         quant_min_lower_bound=0,
2025-03-14T04:34:41.4849342Z         ...         quant_max_upper_bound=255,
2025-03-14T04:34:41.4849446Z         ...     ),
2025-03-14T04:34:41.4849583Z         ...     weight_dtype=DTypeWithConstraints(
2025-03-14T04:34:41.4849709Z         ...         dtype=torch.qint8,
2025-03-14T04:34:41.4849831Z         ...         quant_min_lower_bound=-128,
2025-03-14T04:34:41.4849962Z         ...         quant_max_upper_bound=127,
2025-03-14T04:34:41.4850052Z         ...     ),
2025-03-14T04:34:41.4850179Z         ...     bias_dtype=torch.float)
2025-03-14T04:34:41.4850267Z     
2025-03-14T04:34:41.4850396Z         >>> dtype_config1.input_dtype
2025-03-14T04:34:41.4850494Z         torch.quint8
2025-03-14T04:34:41.4850611Z     
2025-03-14T04:34:41.4850744Z         >>> dtype_config2.input_dtype
2025-03-14T04:34:41.4850840Z         torch.quint8
2025-03-14T04:34:41.4850939Z     
2025-03-14T04:34:41.4851084Z         >>> dtype_config2.input_dtype_with_constraints
2025-03-14T04:34:41.4851649Z         DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=0, quant_max_upper_bound=255, scale_min_lower_bound=None, scale_max_upper_bound=None)
2025-03-14T04:34:41.4851737Z     
2025-03-14T04:34:41.4852057Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.4852152Z     
2025-03-14T04:34:41.4852269Z       warnings.warn(msg)
2025-03-14T04:34:41.4852359Z     
2025-03-14T04:34:41.4852575Z --- Parse Warning: 32 / 116 ---
2025-03-14T04:34:41.4853868Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ModelReportVisualizer.generate_filtered_tables in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=301.
2025-03-14T04:34:41.4854184Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.4854274Z     
2025-03-14T04:34:41.4854566Z     Takes in optional filter values and generates two tables with desired information.
2025-03-14T04:34:41.4854654Z     
2025-03-14T04:34:41.4854887Z     The generated tables are presented in both a list-of-lists format
2025-03-14T04:34:41.4854975Z     
2025-03-14T04:34:41.4855203Z     The reason for the two tables are that they handle different things:
2025-03-14T04:34:41.4855376Z     1.) the first table handles all tensor level information
2025-03-14T04:34:41.4855616Z     2.) the second table handles and displays all channel based information
2025-03-14T04:34:41.4855704Z     
2025-03-14T04:34:41.4856047Z     The reasoning for this is that having all the info in one table can make it ambiguous which collected
2025-03-14T04:34:41.4856392Z         statistics are global, and which are actually per-channel, so it's better to split it up into two
2025-03-14T04:34:41.4856773Z         tables. This also makes the information much easier to digest given the plethora of statistics collected
2025-03-14T04:34:41.4856862Z     
2025-03-14T04:34:41.4856983Z     Tensor table columns:
2025-03-14T04:34:41.4857184Z         idx  layer_fqn  feature_1   feature_2   feature_3   .... feature_n
2025-03-14T04:34:41.4857362Z         ----  ---------  ---------   ---------   ---------        ---------
2025-03-14T04:34:41.4857451Z     
2025-03-14T04:34:41.4857583Z     Per-Channel table columns:
2025-03-14T04:34:41.4857814Z         idx  layer_fqn  channel  feature_1   feature_2   feature_3   .... feature_n
2025-03-14T04:34:41.4858002Z         ----  ---------  -------  ---------   ---------   ---------        ---------
2025-03-14T04:34:41.4858091Z     
2025-03-14T04:34:41.4858195Z     Args:
2025-03-14T04:34:41.4858469Z         feature_filter (str, optional): Filters the features presented to only those that
2025-03-14T04:34:41.4858632Z             contain this filter substring
2025-03-14T04:34:41.4858806Z             Default = "", results in all the features being printed
2025-03-14T04:34:41.4859090Z         module_fqn_filter (str, optional): Only includes modules that contains this string
2025-03-14T04:34:41.4859347Z             Default = "", results in all the modules in the reports to be visible in the table
2025-03-14T04:34:41.4859449Z     
2025-03-14T04:34:41.4859576Z     Returns a dictionary with two keys:
2025-03-14T04:34:41.4859771Z         (Dict[str, Tuple[List, List]]) A dict containing two keys:
2025-03-14T04:34:41.4859906Z         "tensor_level_info", "channel_level_info"
2025-03-14T04:34:41.4860038Z             Each key maps to a tuple with:
2025-03-14T04:34:41.4860166Z                 A list of the headers of each table
2025-03-14T04:34:41.4860373Z                 A list of lists containing the table information row by row
2025-03-14T04:34:41.4860553Z                 The 0th index row will contain the headers of the columns
2025-03-14T04:34:41.4860730Z                 The rest of the rows will contain data
2025-03-14T04:34:41.4860819Z     
2025-03-14T04:34:41.4860928Z     Example Use:
2025-03-14T04:34:41.4861069Z         >>> # xdoctest: +SKIP("undefined variables")
2025-03-14T04:34:41.4861241Z         >>> mod_report_visualizer.generate_filtered_tables(
2025-03-14T04:34:41.4861373Z         ...     feature_filter = "per_channel_min",
2025-03-14T04:34:41.4861529Z         ...     module_fqn_filter = "block1"
2025-03-14T04:34:41.4861816Z         ... ) # generates table with per_channel_min info for all modules in block 1 of the model
2025-03-14T04:34:41.4861918Z     
2025-03-14T04:34:41.4862182Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.4862281Z     
2025-03-14T04:34:41.4862387Z       warnings.warn(msg)
2025-03-14T04:34:41.4862488Z     
2025-03-14T04:34:41.4862688Z --- Parse Warning: 33 / 116 ---
2025-03-14T04:34:41.4864040Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ModelReportVisualizer.generate_table_visualization in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=400.
2025-03-14T04:34:41.4864312Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.4864413Z     
2025-03-14T04:34:41.4864696Z     Takes in optional filter values and prints out formatted tables of the information.
2025-03-14T04:34:41.4864798Z     
2025-03-14T04:34:41.4865153Z     The reason for the two tables printed out instead of one large one are that they handle different things:
2025-03-14T04:34:41.4865341Z     1.) the first table handles all tensor level information
2025-03-14T04:34:41.4865568Z     2.) the second table handles and displays all channel based information
2025-03-14T04:34:41.4865672Z     
2025-03-14T04:34:41.4866006Z     The reasoning for this is that having all the info in one table can make it ambiguous which collected
2025-03-14T04:34:41.4866361Z         statistics are global, and which are actually per-channel, so it's better to split it up into two
2025-03-14T04:34:41.4866726Z         tables. This also makes the information much easier to digest given the plethora of statistics collected
2025-03-14T04:34:41.4866826Z     
2025-03-14T04:34:41.4867134Z     Tensor table columns:
2025-03-14T04:34:41.4867354Z      idx  layer_fqn  feature_1   feature_2   feature_3   .... feature_n
2025-03-14T04:34:41.4867513Z     ----  ---------  ---------   ---------   ---------        ---------
2025-03-14T04:34:41.4867615Z     
2025-03-14T04:34:41.4867730Z     Per-Channel table columns:
2025-03-14T04:34:41.4867835Z     
2025-03-14T04:34:41.4868065Z      idx  layer_fqn  channel  feature_1   feature_2   feature_3   .... feature_n
2025-03-14T04:34:41.4868234Z     ----  ---------  -------  ---------   ---------   ---------        ---------
2025-03-14T04:34:41.4868340Z     
2025-03-14T04:34:41.4868431Z     Args:
2025-03-14T04:34:41.4868792Z         feature_filter (str, optional): Filters the features presented to only those that
2025-03-14T04:34:41.4868913Z             contain this filter substring
2025-03-14T04:34:41.4869099Z             Default = "", results in all the features being printed
2025-03-14T04:34:41.4869369Z         module_fqn_filter (str, optional): Only includes modules that contains this string
2025-03-14T04:34:41.4869640Z             Default = "", results in all the modules in the reports to be visible in the table
2025-03-14T04:34:41.4869729Z     
2025-03-14T04:34:41.4869844Z     Example Use:
2025-03-14T04:34:41.4869982Z         >>> # xdoctest: +SKIP("undefined variables")
2025-03-14T04:34:41.4870170Z         >>> mod_report_visualizer.generate_table_visualization(
2025-03-14T04:34:41.4870304Z         ...     feature_filter = "per_channel_min",
2025-03-14T04:34:41.4870437Z         ...     module_fqn_filter = "block1"
2025-03-14T04:34:41.4870605Z         ... )
2025-03-14T04:34:41.4870828Z         >>> # prints out neatly formatted table with per_channel_min info
2025-03-14T04:34:41.4870965Z         >>> # for all modules in block 1 of the model
2025-03-14T04:34:41.4871068Z     
2025-03-14T04:34:41.4871334Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.4871435Z     
2025-03-14T04:34:41.4871542Z       warnings.warn(msg)
2025-03-14T04:34:41.4871644Z     
2025-03-14T04:34:41.4871891Z --- Parse Warning: 34 / 116 ---
2025-03-14T04:34:41.4873212Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ModelReportVisualizer.generate_plot_visualization in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=566.
2025-03-14T04:34:41.4873484Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.4873585Z     
2025-03-14T04:34:41.4873873Z     Takes in a feature and optional module_filter and plots of the desired data.
2025-03-14T04:34:41.4873973Z     
2025-03-14T04:34:41.4874258Z     For per channel features, it averages the value across the channels and plots a point
2025-03-14T04:34:41.4874539Z     per module. The reason for this is that for models with hundreds of channels, it can
2025-03-14T04:34:41.4874826Z     be hard to differentiate one channel line from another, and so the point of generating
2025-03-14T04:34:41.4875182Z     a single average point per module is to give a sense of general trends that encourage
2025-03-14T04:34:41.4875289Z     further deep dives.
2025-03-14T04:34:41.4875393Z     
2025-03-14T04:34:41.4875489Z     Note:
2025-03-14T04:34:41.4875781Z         Only features in the report that have tensor value data are plottable by this class
2025-03-14T04:34:41.4875959Z         When the tensor information is plotted, it will plot:
2025-03-14T04:34:41.4876121Z             idx as the x val, feature value as the y_val
2025-03-14T04:34:41.4876306Z         When the channel information is plotted, it will plot:
2025-03-14T04:34:41.4876600Z             the first idx of each module as the x val, feature value as the y_val [for each channel]
2025-03-14T04:34:41.4876837Z             The reason for this is that we want to be able to compare values across the
2025-03-14T04:34:41.4877099Z             channels for same layer, and it will be hard if values are staggered by idx
2025-03-14T04:34:41.4877281Z             This means each module is represented by only 1 x value
2025-03-14T04:34:41.4877394Z     Args:
2025-03-14T04:34:41.4877630Z         feature_filter (str): Filters the features presented to only those that
2025-03-14T04:34:41.4877764Z             contain this filter substring
2025-03-14T04:34:41.4878034Z         module_fqn_filter (str, optional): Only includes modules that contains this string
2025-03-14T04:34:41.4878305Z             Default = "", results in all the modules in the reports to be visible in the table
2025-03-14T04:34:41.4878399Z     
2025-03-14T04:34:41.4878543Z     Example Use:
2025-03-14T04:34:41.4878687Z         >>> # xdoctest: +SKIP("undefined variables")
2025-03-14T04:34:41.4878877Z         >>> mod_report_visualizer.generate_plot_visualization(
2025-03-14T04:34:41.4879013Z         ...     feature_filter = "per_channel_min",
2025-03-14T04:34:41.4879148Z         ...     module_fqn_filter = "block1"
2025-03-14T04:34:41.4879239Z         ... )
2025-03-14T04:34:41.4879448Z         >>> # outputs line plot of per_channel_min information for all
2025-03-14T04:34:41.4879643Z         >>> # modules in block1 of model each channel gets it's own line,
2025-03-14T04:34:41.4879843Z         >>> # and it's plotted across the in-order modules on the x-axis
2025-03-14T04:34:41.4879934Z     
2025-03-14T04:34:41.4880212Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.4880302Z     
2025-03-14T04:34:41.4880425Z       warnings.warn(msg)
2025-03-14T04:34:41.4880547Z     
2025-03-14T04:34:41.4880769Z --- Parse Warning: 35 / 116 ---
2025-03-14T04:34:41.4882098Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ModelReportVisualizer.generate_histogram_visualization in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=646.
2025-03-14T04:34:41.4882410Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.4882500Z     
2025-03-14T04:34:41.4882803Z     Takes in a feature and optional module_filter and plots the histogram of desired data.
2025-03-14T04:34:41.4882892Z     
2025-03-14T04:34:41.4882997Z     Note:
2025-03-14T04:34:41.4883273Z         Only features in the report that have tensor value data can be viewed as a histogram
2025-03-14T04:34:41.4883562Z         If you want to plot a histogram from all the channel values of a specific feature for
2025-03-14T04:34:41.4883849Z             a specific model, make sure to specify both the model and the feature properly
2025-03-14T04:34:41.4884120Z             in the filters and you should be able to see a distribution of the channel data
2025-03-14T04:34:41.4884210Z     
2025-03-14T04:34:41.4884316Z     Args:
2025-03-14T04:34:41.4884588Z         feature_filter (str, optional): Filters the features presented to only those that
2025-03-14T04:34:41.4884723Z             contain this filter substring
2025-03-14T04:34:41.4884895Z             Default = "", results in all the features being printed
2025-03-14T04:34:41.4885178Z         module_fqn_filter (str, optional): Only includes modules that contains this string
2025-03-14T04:34:41.4885433Z             Default = "", results in all the modules in the reports to be visible in the table
2025-03-14T04:34:41.4885678Z         num_bins (int, optional): The number of bins to create the histogram with
2025-03-14T04:34:41.4885875Z             Default = 10, the values will be split into 10 equal sized bins
2025-03-14T04:34:41.4885978Z     
2025-03-14T04:34:41.4886079Z     Example Use:
2025-03-14T04:34:41.4886198Z         >>> # xdoctest: +SKIP
2025-03-14T04:34:41.4886509Z         >>> mod_report_visualizer.generategenerate_histogram_visualization_plot_visualization(
2025-03-14T04:34:41.4886654Z         ...     feature_filter = "per_channel_min",
2025-03-14T04:34:41.4886772Z         ...     module_fqn_filter = "block1"
2025-03-14T04:34:41.4886876Z         ... )
2025-03-14T04:34:41.4887162Z         # outputs histogram of per_channel_min information for all modules in block1 of model
2025-03-14T04:34:41.4887440Z             information is gathered across all channels for all modules in block 1 for the
2025-03-14T04:34:41.4887669Z             per_channel_min and is displayed in a histogram of equally sized bins
2025-03-14T04:34:41.4887769Z     
2025-03-14T04:34:41.4888032Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.4888121Z     
2025-03-14T04:34:41.4888244Z       warnings.warn(msg)
2025-03-14T04:34:41.4888359Z     
2025-03-14T04:34:41.4888567Z --- Parse Warning: 36 / 116 ---
2025-03-14T04:34:41.4889549Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DeviceMesh.__getitem__ in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/device_mesh.py line=666.
2025-03-14T04:34:41.4889825Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-03-14T04:34:41.4889914Z     
2025-03-14T04:34:41.4890206Z     Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh.
2025-03-14T04:34:41.4890484Z     The submesh created consists of the dimensions and the communicators indicated by
2025-03-14T04:34:41.4890600Z     ``mesh_dim_names``
2025-03-14T04:34:41.4890691Z     
2025-03-14T04:34:41.4890795Z     Args:
2025-03-14T04:34:41.4891040Z         mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the
2025-03-14T04:34:41.4891295Z         mesh dimension of the DeviceMesh to create the submesh for.
2025-03-14T04:34:41.4891388Z     Returns:
2025-03-14T04:34:41.4891514Z         A :class:`DeviceMesh` object
2025-03-14T04:34:41.4891602Z     
2025-03-14T04:34:41.4891909Z     The following program runs on each process/rank in an SPMD manner in a world size of 8.
2025-03-14T04:34:41.4892016Z     In the first example:
2025-03-14T04:34:41.4892315Z         Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]).
2025-03-14T04:34:41.4892576Z         Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of  DeviceMesh:([4, 5, 6, 7]).
2025-03-14T04:34:41.4892824Z         Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of  DeviceMesh:([0, 4]).
2025-03-14T04:34:41.4893055Z         Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of  DeviceMesh:([1, 5]).
2025-03-14T04:34:41.4893297Z         Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of  DeviceMesh:([2, 6]).
2025-03-14T04:34:41.4893559Z         Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of  DeviceMesh:([3, 7]).
2025-03-14T04:34:41.4893659Z     
2025-03-14T04:34:41.4893770Z     In the second example:
2025-03-14T04:34:41.4894060Z         Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]).
2025-03-14T04:34:41.4894337Z         Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]).
2025-03-14T04:34:41.4894622Z         Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]).
2025-03-14T04:34:41.4894893Z         Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]).
2025-03-14T04:34:41.4894995Z     
2025-03-14T04:34:41.4895099Z     Example::
2025-03-14T04:34:41.4895229Z         >>> # xdoctest: +SKIP("no rank")
2025-03-14T04:34:41.4895412Z         >>> from torch.distributed.device_mesh import DeviceMesh
2025-03-14T04:34:41.4895519Z         >>>
2025-03-14T04:34:41.4895733Z         >>> # Initialize a 2D device mesh as (2, 4) to represent the topology
2025-03-14T04:34:41.4895897Z         >>> # of cross-host(dim 0), and within-host (dim 1).
2025-03-14T04:34:41.4896161Z         >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-03-14T04:34:41.4896284Z         >>> tp_mesh = mesh_2d["tp"]
2025-03-14T04:34:41.4896394Z         >>> dp_mesh = mesh_2d["dp"]
2025-03-14T04:34:41.4896497Z         >>>
2025-03-14T04:34:41.4896607Z         >>> # Initialize a 3D mesh.
2025-03-14T04:34:41.4896904Z         >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp"))
2025-03-14T04:34:41.4897219Z         >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh.
2025-03-14T04:34:41.4897353Z         >>> dp_cp_mesh = mesh_3d["dp", "cp"]
2025-03-14T04:34:41.4897474Z         >>> cp_dp_mesh = mesh_3d["cp", "dp"]
2025-03-14T04:34:41.4897579Z     
2025-03-14T04:34:41.4898301Z     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))
2025-03-14T04:34:41.4898403Z     
2025-03-14T04:34:41.4898658Z     mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-03-14T04:34:41.4898799Z                                                                                      ^
2025-03-14T04:34:41.4898905Z       warnings.warn(msg)
2025-03-14T04:34:41.4899006Z     
2025-03-14T04:34:41.4899204Z --- Parse Warning: 37 / 116 ---
2025-03-14T04:34:41.4900207Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=batch_isend_irecv in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py line=2604.
2025-03-14T04:34:41.4900481Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.4900613Z     
2025-03-14T04:34:41.4900877Z     Send or Receive a batch of tensors asynchronously and return a list of requests.
2025-03-14T04:34:41.4900980Z     
2025-03-14T04:34:41.4901238Z     Process each of the operations in ``p2p_op_list`` and return the corresponding
2025-03-14T04:34:41.4901459Z     requests. NCCL, Gloo, and UCC backend are currently supported.
2025-03-14T04:34:41.4901575Z     
2025-03-14T04:34:41.4901680Z     Args:
2025-03-14T04:34:41.4901918Z         p2p_op_list: A list of point-to-point operations(type of each operator is
2025-03-14T04:34:41.4902166Z             ``torch.distributed.P2POp``). The order of the isend/irecv in the list
2025-03-14T04:34:41.4902386Z             matters and it needs to match with corresponding isend/irecv on the
2025-03-14T04:34:41.4902497Z             remote end.
2025-03-14T04:34:41.4902585Z     
2025-03-14T04:34:41.4902691Z     Returns:
2025-03-14T04:34:41.4902947Z         A list of distributed request objects returned by calling the corresponding
2025-03-14T04:34:41.4903094Z         op in the op_list.
2025-03-14T04:34:41.4903184Z     
2025-03-14T04:34:41.4903292Z     Examples:
2025-03-14T04:34:41.4903411Z         >>> # xdoctest: +SKIP("no rank")
2025-03-14T04:34:41.4903622Z         >>> send_tensor = torch.arange(2, dtype=torch.float32) + 2 * rank
2025-03-14T04:34:41.4903784Z         >>> recv_tensor = torch.randn(2, dtype=torch.float32)
2025-03-14T04:34:41.4904021Z         >>> send_op = dist.P2POp(dist.isend, send_tensor, (rank + 1) % world_size)
2025-03-14T04:34:41.4904133Z         >>> recv_op = dist.P2POp(
2025-03-14T04:34:41.4904344Z         ...     dist.irecv, recv_tensor, (rank - 1 + world_size) % world_size
2025-03-14T04:34:41.4904435Z         ... )
2025-03-14T04:34:41.4904593Z         >>> reqs = batch_isend_irecv([send_op, recv_op])
2025-03-14T04:34:41.4904698Z         >>> for req in reqs:
2025-03-14T04:34:41.4904810Z         >>>     req.wait()
2025-03-14T04:34:41.4904910Z         >>> recv_tensor
2025-03-14T04:34:41.4905022Z         tensor([2, 3])     # Rank 0
2025-03-14T04:34:41.4905140Z         tensor([0, 1])     # Rank 1
2025-03-14T04:34:41.4905231Z     
2025-03-14T04:34:41.4905502Z     .. note:: Note that when this API is used with the NCCL PG backend, users must set
2025-03-14T04:34:41.4905737Z         the current GPU device with `torch.cuda.set_device`, otherwise it will
2025-03-14T04:34:41.4905876Z         lead to unexpected hang issues.
2025-03-14T04:34:41.4905968Z     
2025-03-14T04:34:41.4906204Z         In addition, if this API is the first collective call in the ``group``
2025-03-14T04:34:41.4906437Z         passed to ``dist.P2POp``, all ranks of the ``group`` must participate in
2025-03-14T04:34:41.4906682Z         this API call; otherwise, the behavior is undefined. If this API call is
2025-03-14T04:34:41.4906915Z         not the first collective call in the ``group``, batched P2P operations
2025-03-14T04:34:41.4907130Z         involving only a subset of ranks of the ``group`` are allowed.
2025-03-14T04:34:41.4907223Z     
2025-03-14T04:34:41.4907522Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.4907612Z     
2025-03-14T04:34:41.4907730Z       warnings.warn(msg)
2025-03-14T04:34:41.4907818Z     
2025-03-14T04:34:41.4908028Z --- Parse Warning: 38 / 116 ---
2025-03-14T04:34:41.4909005Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=all_reduce in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py line=2734.
2025-03-14T04:34:41.4909359Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.4909447Z     
2025-03-14T04:34:41.4909740Z     Reduces the tensor data across all machines in a way that all get the final result.
2025-03-14T04:34:41.4909830Z     
2025-03-14T04:34:41.4910078Z     After the call ``tensor`` is going to be bitwise identical in all processes.
2025-03-14T04:34:41.4910202Z     
2025-03-14T04:34:41.4910337Z     Complex tensors are supported.
2025-03-14T04:34:41.4910429Z     
2025-03-14T04:34:41.4910533Z     Args:
2025-03-14T04:34:41.4910749Z         tensor (Tensor): Input and output of the collective. The function
2025-03-14T04:34:41.4910876Z             operates in-place.
2025-03-14T04:34:41.4911005Z         op (optional): One of the values from
2025-03-14T04:34:41.4911173Z             ``torch.distributed.ReduceOp``
2025-03-14T04:34:41.4911388Z             enum.  Specifies an operation used for element-wise reductions.
2025-03-14T04:34:41.4911646Z         group (ProcessGroup, optional): The process group to work on. If None,
2025-03-14T04:34:41.4911783Z             the default process group will be used.
2025-03-14T04:34:41.4912001Z         async_op (bool, optional): Whether this op should be an async op
2025-03-14T04:34:41.4912092Z     
2025-03-14T04:34:41.4912201Z     Returns:
2025-03-14T04:34:41.4912352Z         Async work handle, if async_op is set to True.
2025-03-14T04:34:41.4912552Z         None, if not async_op or if not part of the group
2025-03-14T04:34:41.4912642Z     
2025-03-14T04:34:41.4912753Z     Examples:
2025-03-14T04:34:41.4912872Z         >>> # xdoctest: +SKIP("no rank")
2025-03-14T04:34:41.4913033Z         >>> # All tensors below are of torch.int64 type.
2025-03-14T04:34:41.4913164Z         >>> # We have 2 process groups, 2 ranks.
2025-03-14T04:34:41.4913311Z         >>> device = torch.device(f"cuda:{rank}")
2025-03-14T04:34:41.4913551Z         >>> tensor = torch.arange(2, dtype=torch.int64, device=device) + 1 + 2 * rank
2025-03-14T04:34:41.4913660Z         >>> tensor
2025-03-14T04:34:41.4913788Z         tensor([1, 2], device='cuda:0') # Rank 0
2025-03-14T04:34:41.4913928Z         tensor([3, 4], device='cuda:1') # Rank 1
2025-03-14T04:34:41.4914075Z         >>> dist.all_reduce(tensor, op=ReduceOp.SUM)
2025-03-14T04:34:41.4914171Z         >>> tensor
2025-03-14T04:34:41.4914309Z         tensor([4, 6], device='cuda:0') # Rank 0
2025-03-14T04:34:41.4914440Z         tensor([4, 6], device='cuda:1') # Rank 1
2025-03-14T04:34:41.4914541Z     
2025-03-14T04:34:41.4914690Z         >>> # All tensors below are of torch.cfloat type.
2025-03-14T04:34:41.4914829Z         >>> # We have 2 process groups, 2 ranks.
2025-03-14T04:34:41.4914943Z         >>> tensor = torch.tensor(
2025-03-14T04:34:41.4915202Z         ...     [1 + 1j, 2 + 2j], dtype=torch.cfloat, device=device
2025-03-14T04:34:41.4915311Z         ... ) + 2 * rank * (1 + 1j)
2025-03-14T04:34:41.4915417Z         >>> tensor
2025-03-14T04:34:41.4915565Z         tensor([1.+1.j, 2.+2.j], device='cuda:0') # Rank 0
2025-03-14T04:34:41.4915725Z         tensor([3.+3.j, 4.+4.j], device='cuda:1') # Rank 1
2025-03-14T04:34:41.4915867Z         >>> dist.all_reduce(tensor, op=ReduceOp.SUM)
2025-03-14T04:34:41.4915974Z         >>> tensor
2025-03-14T04:34:41.4916118Z         tensor([4.+4.j, 6.+6.j], device='cuda:0') # Rank 0
2025-03-14T04:34:41.4916276Z         tensor([4.+4.j, 6.+6.j], device='cuda:1') # Rank 1
2025-03-14T04:34:41.4916368Z     
2025-03-14T04:34:41.4916499Z     
2025-03-14T04:34:41.4916767Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.4916865Z     
2025-03-14T04:34:41.4916970Z       warnings.warn(msg)
2025-03-14T04:34:41.4917070Z     
2025-03-14T04:34:41.4917283Z --- Parse Warning: 39 / 116 ---
2025-03-14T04:34:41.4918276Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=gather_object in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py line=3090.
2025-03-14T04:34:41.4918549Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.4918654Z     
2025-03-14T04:34:41.4918887Z     Gathers picklable objects from the whole group in a single process.
2025-03-14T04:34:41.4918991Z     
2025-03-14T04:34:41.4919233Z     Similar to :func:`gather`, but Python objects can be passed in. Note that the
2025-03-14T04:34:41.4919438Z     object must be picklable in order to be gathered.
2025-03-14T04:34:41.4919533Z     
2025-03-14T04:34:41.4919638Z     Args:
2025-03-14T04:34:41.4919779Z         obj (Any): Input object. Must be picklable.
2025-03-14T04:34:41.4920012Z         object_gather_list (list[Any]): Output list. On the ``dst`` rank, it
2025-03-14T04:34:41.4920241Z             should be correctly sized as the size of the group for this
2025-03-14T04:34:41.4920480Z             collective and will contain the output. Must be ``None`` on non-dst
2025-03-14T04:34:41.4920596Z             ranks. (default is ``None``)
2025-03-14T04:34:41.4920942Z         dst (int, optional): Destination rank on global process group (regardless of ``group`` argument).
2025-03-14T04:34:41.4921148Z             (If both ``dst`` and ``group_dst`` are None, default is global rank 0)
2025-03-14T04:34:41.4921407Z         group: (ProcessGroup, optional): The process group to work on. If None,
2025-03-14T04:34:41.4921640Z             the default process group will be used. Default is ``None``.
2025-03-14T04:34:41.4922012Z         group_dst (int, optional): Destination rank on ``group``.  Invalid to specify both ``dst`` and ``group_dst``
2025-03-14T04:34:41.4922101Z     
2025-03-14T04:34:41.4922206Z     Returns:
2025-03-14T04:34:41.4922397Z         None. On the ``dst`` rank, ``object_gather_list`` will contain the
2025-03-14T04:34:41.4922526Z         output of the collective.
2025-03-14T04:34:41.4922619Z     
2025-03-14T04:34:41.4922859Z     .. note:: Note that this API differs slightly from the gather collective
2025-03-14T04:34:41.4923087Z         since it does not provide an async_op handle and thus will be a blocking
2025-03-14T04:34:41.4923189Z         call.
2025-03-14T04:34:41.4923281Z     
2025-03-14T04:34:41.4923537Z     .. note:: For NCCL-based processed groups, internal tensor representations
2025-03-14T04:34:41.4923757Z         of objects must be moved to the GPU device before communication takes
2025-03-14T04:34:41.4923930Z         place. In this case, the device used is given by
2025-03-14T04:34:41.4924160Z         ``torch.cuda.current_device()`` and it is the user's responsiblity to
2025-03-14T04:34:41.4924388Z         ensure that this is set so that each rank has an individual GPU, via
2025-03-14T04:34:41.4924505Z         ``torch.cuda.set_device()``.
2025-03-14T04:34:41.4924606Z     
2025-03-14T04:34:41.4924701Z     .. warning::
2025-03-14T04:34:41.4924922Z         :func:`gather_object` uses ``pickle`` module implicitly, which is
2025-03-14T04:34:41.4925152Z         known to be insecure. It is possible to construct malicious pickle data
2025-03-14T04:34:41.4925391Z         which will execute arbitrary code during unpickling. Only call this
2025-03-14T04:34:41.4925510Z         function with data you trust.
2025-03-14T04:34:41.4925597Z     
2025-03-14T04:34:41.4925707Z     .. warning::
2025-03-14T04:34:41.4925930Z         Calling :func:`gather_object` with GPU tensors is not well supported
2025-03-14T04:34:41.4926225Z         and inefficient as it incurs GPU -> CPU transfer since tensors would be
2025-03-14T04:34:41.4926406Z         pickled. Please consider using :func:`gather` instead.
2025-03-14T04:34:41.4926507Z     
2025-03-14T04:34:41.4926605Z     Example::
2025-03-14T04:34:41.4926764Z         >>> # xdoctest: +SKIP("need process group init")
2025-03-14T04:34:41.4926954Z         >>> # Note: Process group initialization omitted on each rank.
2025-03-14T04:34:41.4927099Z         >>> import torch.distributed as dist
2025-03-14T04:34:41.4927216Z         >>> # Assumes world_size of 3.
2025-03-14T04:34:41.4927416Z         >>> gather_objects = ["foo", 12, {1: 2}] # any picklable object
2025-03-14T04:34:41.4927548Z         >>> output = [None for _ in gather_objects]
2025-03-14T04:34:41.4927672Z         >>> dist.gather_object(
2025-03-14T04:34:41.4927803Z         ...     gather_objects[dist.get_rank()],
2025-03-14T04:34:41.4927956Z         ...     output if dist.get_rank() == 0 else None,
2025-03-14T04:34:41.4928079Z         ...     dst=0
2025-03-14T04:34:41.4928188Z         ... )
2025-03-14T04:34:41.4928284Z         >>> # On rank 0
2025-03-14T04:34:41.4928390Z         >>> output
2025-03-14T04:34:41.4928489Z         ['foo', 12, {1: 2}]
2025-03-14T04:34:41.4928589Z     
2025-03-14T04:34:41.4928854Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.4928953Z     
2025-03-14T04:34:41.4929060Z       warnings.warn(msg)
2025-03-14T04:34:41.4929186Z     
2025-03-14T04:34:41.4929390Z --- Parse Warning: 40 / 116 ---
2025-03-14T04:34:41.4930362Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=all_gather in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py line=3666.
2025-03-14T04:34:41.4930638Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.4930744Z     
2025-03-14T04:34:41.4930896Z     Gathers tensors from the whole group in a list.
2025-03-14T04:34:41.4931027Z     
2025-03-14T04:34:41.4931181Z     Complex and uneven sized tensors are supported.
2025-03-14T04:34:41.4931282Z     
2025-03-14T04:34:41.4931373Z     Args:
2025-03-14T04:34:41.4931573Z         tensor_list (list[Tensor]): Output list. It should contain
2025-03-14T04:34:41.4931800Z             correctly-sized tensors to be used for output of the collective.
2025-03-14T04:34:41.4931943Z             Uneven sized tensors are supported.
2025-03-14T04:34:41.4932140Z         tensor (Tensor): Tensor to be broadcast from current process.
2025-03-14T04:34:41.4932391Z         group (ProcessGroup, optional): The process group to work on. If None,
2025-03-14T04:34:41.4932525Z             the default process group will be used.
2025-03-14T04:34:41.4932742Z         async_op (bool, optional): Whether this op should be an async op
2025-03-14T04:34:41.4932830Z     
2025-03-14T04:34:41.4932921Z     Returns:
2025-03-14T04:34:41.4933295Z         Async work handle, if async_op is set to True.
2025-03-14T04:34:41.4933462Z         None, if not async_op or if not part of the group
2025-03-14T04:34:41.4933566Z     
2025-03-14T04:34:41.4933662Z     Examples:
2025-03-14T04:34:41.4933819Z         >>> # xdoctest: +SKIP("need process group init")
2025-03-14T04:34:41.4933963Z         >>> # All tensors below are of torch.int64 dtype.
2025-03-14T04:34:41.4934101Z         >>> # We have 2 process groups, 2 ranks.
2025-03-14T04:34:41.4934232Z         >>> device = torch.device(f"cuda:{rank}")
2025-03-14T04:34:41.4934347Z         >>> tensor_list = [
2025-03-14T04:34:41.4934567Z         ...     torch.zeros(2, dtype=torch.int64, device=device) for _ in range(2)
2025-03-14T04:34:41.4934670Z         ... ]
2025-03-14T04:34:41.4934770Z         >>> tensor_list
2025-03-14T04:34:41.4934992Z         [tensor([0, 0], device='cuda:0'), tensor([0, 0], device='cuda:0')] # Rank 0
2025-03-14T04:34:41.4935197Z         [tensor([0, 0], device='cuda:1'), tensor([0, 0], device='cuda:1')] # Rank 1
2025-03-14T04:34:41.4935484Z         >>> tensor = torch.arange(2, dtype=torch.int64, device=device) + 1 + 2 * rank
2025-03-14T04:34:41.4935580Z         >>> tensor
2025-03-14T04:34:41.4935722Z         tensor([1, 2], device='cuda:0') # Rank 0
2025-03-14T04:34:41.4935848Z         tensor([3, 4], device='cuda:1') # Rank 1
2025-03-14T04:34:41.4935988Z         >>> dist.all_gather(tensor_list, tensor)
2025-03-14T04:34:41.4936088Z         >>> tensor_list
2025-03-14T04:34:41.4936311Z         [tensor([1, 2], device='cuda:0'), tensor([3, 4], device='cuda:0')] # Rank 0
2025-03-14T04:34:41.4936512Z         [tensor([1, 2], device='cuda:1'), tensor([3, 4], device='cuda:1')] # Rank 1
2025-03-14T04:34:41.4936612Z     
2025-03-14T04:34:41.4936764Z         >>> # All tensors below are of torch.cfloat dtype.
2025-03-14T04:34:41.4936904Z         >>> # We have 2 process groups, 2 ranks.
2025-03-14T04:34:41.4937007Z         >>> tensor_list = [
2025-03-14T04:34:41.4937245Z         ...     torch.zeros(2, dtype=torch.cfloat, device=device) for _ in range(2)
2025-03-14T04:34:41.4937366Z         ... ]
2025-03-14T04:34:41.4937476Z         >>> tensor_list
2025-03-14T04:34:41.4937738Z         [tensor([0.+0.j, 0.+0.j], device='cuda:0'), tensor([0.+0.j, 0.+0.j], device='cuda:0')] # Rank 0
2025-03-14T04:34:41.4938001Z         [tensor([0.+0.j, 0.+0.j], device='cuda:1'), tensor([0.+0.j, 0.+0.j], device='cuda:1')] # Rank 1
2025-03-14T04:34:41.4938113Z         >>> tensor = torch.tensor(
2025-03-14T04:34:41.4938307Z         ...     [1 + 1j, 2 + 2j], dtype=torch.cfloat, device=device
2025-03-14T04:34:41.4938412Z         ... ) + 2 * rank * (1 + 1j)
2025-03-14T04:34:41.4938518Z         >>> tensor
2025-03-14T04:34:41.4938666Z         tensor([1.+1.j, 2.+2.j], device='cuda:0') # Rank 0
2025-03-14T04:34:41.4938821Z         tensor([3.+3.j, 4.+4.j], device='cuda:1') # Rank 1
2025-03-14T04:34:41.4938949Z         >>> dist.all_gather(tensor_list, tensor)
2025-03-14T04:34:41.4939062Z         >>> tensor_list
2025-03-14T04:34:41.4939316Z         [tensor([1.+1.j, 2.+2.j], device='cuda:0'), tensor([3.+3.j, 4.+4.j], device='cuda:0')] # Rank 0
2025-03-14T04:34:41.4939603Z         [tensor([1.+1.j, 2.+2.j], device='cuda:1'), tensor([3.+3.j, 4.+4.j], device='cuda:1')] # Rank 1
2025-03-14T04:34:41.4939690Z     
2025-03-14T04:34:41.4939792Z     
2025-03-14T04:34:41.4940058Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.4940159Z     
2025-03-14T04:34:41.4940269Z       warnings.warn(msg)
2025-03-14T04:34:41.4940371Z     
2025-03-14T04:34:41.4940584Z --- Parse Warning: 41 / 116 ---
2025-03-14T04:34:41.4941588Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=all_to_all_single in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py line=4381.
2025-03-14T04:34:41.4941863Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.4941966Z     
2025-03-14T04:34:41.4942233Z     Split input tensor and then scatter the split list to all processes in a group.
2025-03-14T04:34:41.4942335Z     
2025-03-14T04:34:41.4942604Z     Later the received tensors are concatenated from all the processes in the group
2025-03-14T04:34:41.4942746Z     and returned as a single output tensor.
2025-03-14T04:34:41.4942836Z     
2025-03-14T04:34:41.4942956Z     Complex tensors are supported.
2025-03-14T04:34:41.4943057Z     
2025-03-14T04:34:41.4943153Z     Args:
2025-03-14T04:34:41.4943343Z         output (Tensor): Gathered concatenated output tensor.
2025-03-14T04:34:41.4943478Z         input (Tensor): Input tensor to scatter.
2025-03-14T04:34:41.4943725Z         output_split_sizes: (list[Int], optional): Output split sizes for dim 0
2025-03-14T04:34:41.4943943Z             if specified None or empty, dim 0 of ``output`` tensor must divide
2025-03-14T04:34:41.4944071Z             equally by ``world_size``.
2025-03-14T04:34:41.4944298Z         input_split_sizes: (list[Int], optional): Input split sizes for dim 0
2025-03-14T04:34:41.4944554Z             if specified None or empty, dim 0 of ``input`` tensor must divide
2025-03-14T04:34:41.4944673Z             equally by ``world_size``.
2025-03-14T04:34:41.4944929Z         group (ProcessGroup, optional): The process group to work on. If None,
2025-03-14T04:34:41.4945063Z             the default process group will be used.
2025-03-14T04:34:41.4945283Z         async_op (bool, optional): Whether this op should be an async op.
2025-03-14T04:34:41.4945371Z     
2025-03-14T04:34:41.4945472Z     Returns:
2025-03-14T04:34:41.4945621Z         Async work handle, if async_op is set to True.
2025-03-14T04:34:41.4945790Z         None, if not async_op or if not part of the group.
2025-03-14T04:34:41.4945880Z     
2025-03-14T04:34:41.4945998Z     .. warning::
2025-03-14T04:34:41.4946182Z         `all_to_all_single` is experimental and subject to change.
2025-03-14T04:34:41.4946284Z     
2025-03-14T04:34:41.4946378Z     Examples:
2025-03-14T04:34:41.4946514Z         >>> # xdoctest: +SKIP("Undefined rank")
2025-03-14T04:34:41.4946671Z         >>> input = torch.arange(4) + rank * 4
2025-03-14T04:34:41.4946778Z         >>> input
2025-03-14T04:34:41.4946885Z         tensor([0, 1, 2, 3])     # Rank 0
2025-03-14T04:34:41.4947004Z         tensor([4, 5, 6, 7])     # Rank 1
2025-03-14T04:34:41.4947110Z         tensor([8, 9, 10, 11])   # Rank 2
2025-03-14T04:34:41.4947226Z         tensor([12, 13, 14, 15]) # Rank 3
2025-03-14T04:34:41.4947400Z         >>> output = torch.empty([4], dtype=torch.int64)
2025-03-14T04:34:41.4947545Z         >>> dist.all_to_all_single(output, input)
2025-03-14T04:34:41.4947639Z         >>> output
2025-03-14T04:34:41.4947754Z         tensor([0, 4, 8, 12])    # Rank 0
2025-03-14T04:34:41.4947860Z         tensor([1, 5, 9, 13])    # Rank 1
2025-03-14T04:34:41.4947976Z         tensor([2, 6, 10, 14])   # Rank 2
2025-03-14T04:34:41.4948081Z         tensor([3, 7, 11, 15])   # Rank 3
2025-03-14T04:34:41.4948180Z     
2025-03-14T04:34:41.4948350Z         >>> # Essentially, it is similar to following operation:
2025-03-14T04:34:41.4948542Z         >>> scatter_list = list(input.chunk(world_size))
2025-03-14T04:34:41.4948689Z         >>> gather_list = list(output.chunk(world_size))
2025-03-14T04:34:41.4948802Z         >>> for i in range(world_size):
2025-03-14T04:34:41.4949056Z         >>>     dist.scatter(gather_list[i], scatter_list if i == rank else [], src = i)
2025-03-14T04:34:41.4949144Z     
2025-03-14T04:34:41.4949282Z         >>> # Another example with uneven split
2025-03-14T04:34:41.4949373Z         >>> input
2025-03-14T04:34:41.4949547Z         tensor([0, 1, 2, 3, 4, 5])                                       # Rank 0
2025-03-14T04:34:41.4949716Z         tensor([10, 11, 12, 13, 14, 15, 16, 17, 18])                     # Rank 1
2025-03-14T04:34:41.4949890Z         tensor([20, 21, 22, 23, 24])                                     # Rank 2
2025-03-14T04:34:41.4950056Z         tensor([30, 31, 32, 33, 34, 35, 36])                             # Rank 3
2025-03-14T04:34:41.4950176Z         >>> input_splits
2025-03-14T04:34:41.4950308Z         [2, 2, 1, 1]                                                     # Rank 0
2025-03-14T04:34:41.4950448Z         [3, 2, 2, 2]                                                     # Rank 1
2025-03-14T04:34:41.4950574Z         [2, 1, 1, 1]                                                     # Rank 2
2025-03-14T04:34:41.4950715Z         [2, 2, 2, 1]                                                     # Rank 3
2025-03-14T04:34:41.4950817Z         >>> output_splits
2025-03-14T04:34:41.4950958Z         [2, 3, 2, 2]                                                     # Rank 0
2025-03-14T04:34:41.4951085Z         [2, 2, 1, 2]                                                     # Rank 1
2025-03-14T04:34:41.4951222Z         [1, 2, 1, 2]                                                     # Rank 2
2025-03-14T04:34:41.4951348Z         [1, 2, 1, 1]                                                     # Rank 3
2025-03-14T04:34:41.4951460Z         >>> output = ...
2025-03-14T04:34:41.4951707Z         >>> dist.all_to_all_single(output, input, output_splits, input_splits)
2025-03-14T04:34:41.4951813Z         >>> output
2025-03-14T04:34:41.4951978Z         tensor([ 0,  1, 10, 11, 12, 20, 21, 30, 31])                     # Rank 0
2025-03-14T04:34:41.4952150Z         tensor([ 2,  3, 13, 14, 22, 32, 33])                             # Rank 1
2025-03-14T04:34:41.4952312Z         tensor([ 4, 15, 16, 23, 34, 35])                                 # Rank 2
2025-03-14T04:34:41.4952483Z         tensor([ 5, 17, 18, 24, 36])                                     # Rank 3
2025-03-14T04:34:41.4952570Z     
2025-03-14T04:34:41.4952670Z     
2025-03-14T04:34:41.4952842Z         >>> # Another example with tensors of torch.cfloat type.
2025-03-14T04:34:41.4952963Z         >>> input = torch.tensor(
2025-03-14T04:34:41.4953110Z         ...     [1 + 1j, 2 + 2j, 3 + 3j, 4 + 4j], dtype=torch.cfloat
2025-03-14T04:34:41.4953229Z         ... ) + 4 * rank * (1 + 1j)
2025-03-14T04:34:41.4953349Z         >>> input
2025-03-14T04:34:41.4953543Z         tensor([1+1j, 2+2j, 3+3j, 4+4j])                                # Rank 0
2025-03-14T04:34:41.4953721Z         tensor([5+5j, 6+6j, 7+7j, 8+8j])                                # Rank 1
2025-03-14T04:34:41.4953920Z         tensor([9+9j, 10+10j, 11+11j, 12+12j])                          # Rank 2
2025-03-14T04:34:41.4954111Z         tensor([13+13j, 14+14j, 15+15j, 16+16j])                        # Rank 3
2025-03-14T04:34:41.4954297Z         >>> output = torch.empty([4], dtype=torch.int64)
2025-03-14T04:34:41.4954430Z         >>> dist.all_to_all_single(output, input)
2025-03-14T04:34:41.4954536Z         >>> output
2025-03-14T04:34:41.4954714Z         tensor([1+1j, 5+5j, 9+9j, 13+13j])                              # Rank 0
2025-03-14T04:34:41.4954909Z         tensor([2+2j, 6+6j, 10+10j, 14+14j])                            # Rank 1
2025-03-14T04:34:41.4955163Z         tensor([3+3j, 7+7j, 11+11j, 15+15j])                            # Rank 2
2025-03-14T04:34:41.4955422Z         tensor([4+4j, 8+8j, 12+12j, 16+16j])                            # Rank 3
2025-03-14T04:34:41.4955511Z     
2025-03-14T04:34:41.4955785Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.4955873Z     
2025-03-14T04:34:41.4955993Z       warnings.warn(msg)
2025-03-14T04:34:41.4956083Z     
2025-03-14T04:34:41.4956307Z --- Parse Warning: 42 / 116 ---
2025-03-14T04:34:41.4957269Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=all_to_all in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py line=4523.
2025-03-14T04:34:41.4957556Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.4957645Z     
2025-03-14T04:34:41.4958038Z     Scatters list of input tensors to all processes in a group and return gathered list of tensors in output list.
2025-03-14T04:34:41.4958129Z     
2025-03-14T04:34:41.4958265Z     Complex tensors are supported.
2025-03-14T04:34:41.4958353Z     
2025-03-14T04:34:41.4958454Z     Args:
2025-03-14T04:34:41.4958685Z         output_tensor_list (list[Tensor]): List of tensors to be gathered one
2025-03-14T04:34:41.4958793Z             per rank.
2025-03-14T04:34:41.4959032Z         input_tensor_list (list[Tensor]): List of tensors to scatter one per rank.
2025-03-14T04:34:41.4959286Z         group (ProcessGroup, optional): The process group to work on. If None,
2025-03-14T04:34:41.4959422Z             the default process group will be used.
2025-03-14T04:34:41.4959639Z         async_op (bool, optional): Whether this op should be an async op.
2025-03-14T04:34:41.4959727Z     
2025-03-14T04:34:41.4959830Z     Returns:
2025-03-14T04:34:41.4959978Z         Async work handle, if async_op is set to True.
2025-03-14T04:34:41.4960141Z         None, if not async_op or if not part of the group.
2025-03-14T04:34:41.4960228Z     
2025-03-14T04:34:41.4960337Z     .. warning::
2025-03-14T04:34:41.4960529Z         `all_to_all` is experimental and subject to change.
2025-03-14T04:34:41.4960629Z     
2025-03-14T04:34:41.4960722Z     Examples:
2025-03-14T04:34:41.4960850Z         >>> # xdoctest: +SKIP("Undefined rank")
2025-03-14T04:34:41.4960984Z         >>> input = torch.arange(4) + rank * 4
2025-03-14T04:34:41.4961099Z         >>> input = list(input.chunk(4))
2025-03-14T04:34:41.4961203Z         >>> input
2025-03-14T04:34:41.4961384Z         [tensor([0]), tensor([1]), tensor([2]), tensor([3])]     # Rank 0
2025-03-14T04:34:41.4961567Z         [tensor([4]), tensor([5]), tensor([6]), tensor([7])]     # Rank 1
2025-03-14T04:34:41.4961740Z         [tensor([8]), tensor([9]), tensor([10]), tensor([11])]   # Rank 2
2025-03-14T04:34:41.4961925Z         [tensor([12]), tensor([13]), tensor([14]), tensor([15])] # Rank 3
2025-03-14T04:34:41.4962119Z         >>> output = list(torch.empty([4], dtype=torch.int64).chunk(4))
2025-03-14T04:34:41.4962251Z         >>> dist.all_to_all(output, input)
2025-03-14T04:34:41.4962372Z         >>> output
2025-03-14T04:34:41.4962558Z         [tensor([0]), tensor([4]), tensor([8]), tensor([12])]    # Rank 0
2025-03-14T04:34:41.4962730Z         [tensor([1]), tensor([5]), tensor([9]), tensor([13])]    # Rank 1
2025-03-14T04:34:41.4962914Z         [tensor([2]), tensor([6]), tensor([10]), tensor([14])]   # Rank 2
2025-03-14T04:34:41.4963086Z         [tensor([3]), tensor([7]), tensor([11]), tensor([15])]   # Rank 3
2025-03-14T04:34:41.4963211Z     
2025-03-14T04:34:41.4963383Z         >>> # Essentially, it is similar to following operation:
2025-03-14T04:34:41.4963505Z         >>> scatter_list = input
2025-03-14T04:34:41.4963616Z         >>> gather_list = output
2025-03-14T04:34:41.4963745Z         >>> for i in range(world_size):
2025-03-14T04:34:41.4963980Z         >>>     dist.scatter(gather_list[i], scatter_list if i == rank else [], src=i)
2025-03-14T04:34:41.4964084Z     
2025-03-14T04:34:41.4964176Z         >>> input
2025-03-14T04:34:41.4964351Z         tensor([0, 1, 2, 3, 4, 5])                                       # Rank 0
2025-03-14T04:34:41.4964548Z         tensor([10, 11, 12, 13, 14, 15, 16, 17, 18])                     # Rank 1
2025-03-14T04:34:41.4964723Z         tensor([20, 21, 22, 23, 24])                                     # Rank 2
2025-03-14T04:34:41.4964886Z         tensor([30, 31, 32, 33, 34, 35, 36])                             # Rank 3
2025-03-14T04:34:41.4965002Z         >>> input_splits
2025-03-14T04:34:41.4965134Z         [2, 2, 1, 1]                                                     # Rank 0
2025-03-14T04:34:41.4965411Z         [3, 2, 2, 2]                                                     # Rank 1
2025-03-14T04:34:41.4965574Z         [2, 1, 1, 1]                                                     # Rank 2
2025-03-14T04:34:41.4965761Z         [2, 2, 2, 1]                                                     # Rank 3
2025-03-14T04:34:41.4971026Z         >>> output_splits
2025-03-14T04:34:41.4971195Z         [2, 3, 2, 2]                                                     # Rank 0
2025-03-14T04:34:41.4971360Z         [2, 2, 1, 2]                                                     # Rank 1
2025-03-14T04:34:41.4971493Z         [1, 2, 1, 2]                                                     # Rank 2
2025-03-14T04:34:41.4971635Z         [1, 2, 1, 1]                                                     # Rank 3
2025-03-14T04:34:41.4971771Z         >>> input = list(input.split(input_splits))
2025-03-14T04:34:41.4971877Z         >>> input
2025-03-14T04:34:41.4972097Z         [tensor([0, 1]), tensor([2, 3]), tensor([4]), tensor([5])]                   # Rank 0
2025-03-14T04:34:41.4972322Z         [tensor([10, 11, 12]), tensor([13, 14]), tensor([15, 16]), tensor([17, 18])] # Rank 1
2025-03-14T04:34:41.4972535Z         [tensor([20, 21]), tensor([22]), tensor([23]), tensor([24])]                 # Rank 2
2025-03-14T04:34:41.4972755Z         [tensor([30, 31]), tensor([32, 33]), tensor([34, 35]), tensor([36])]         # Rank 3
2025-03-14T04:34:41.4972860Z         >>> output = ...
2025-03-14T04:34:41.4973109Z         >>> dist.all_to_all(output, input)
2025-03-14T04:34:41.4973207Z         >>> output
2025-03-14T04:34:41.4973430Z         [tensor([0, 1]), tensor([10, 11, 12]), tensor([20, 21]), tensor([30, 31])]   # Rank 0
2025-03-14T04:34:41.4973639Z         [tensor([2, 3]), tensor([13, 14]), tensor([22]), tensor([32, 33])]           # Rank 1
2025-03-14T04:34:41.4973864Z         [tensor([4]), tensor([15, 16]), tensor([23]), tensor([34, 35])]              # Rank 2
2025-03-14T04:34:41.4974075Z         [tensor([5]), tensor([17, 18]), tensor([24]), tensor([36])]                  # Rank 3
2025-03-14T04:34:41.4974175Z     
2025-03-14T04:34:41.4974349Z         >>> # Another example with tensors of torch.cfloat type.
2025-03-14T04:34:41.4974476Z         >>> input = torch.tensor(
2025-03-14T04:34:41.4974626Z         ...     [1 + 1j, 2 + 2j, 3 + 3j, 4 + 4j], dtype=torch.cfloat
2025-03-14T04:34:41.4974745Z         ... ) + 4 * rank * (1 + 1j)
2025-03-14T04:34:41.4974906Z         >>> input = list(input.chunk(4))
2025-03-14T04:34:41.4975014Z         >>> input
2025-03-14T04:34:41.4975241Z         [tensor([1+1j]), tensor([2+2j]), tensor([3+3j]), tensor([4+4j])]            # Rank 0
2025-03-14T04:34:41.4975469Z         [tensor([5+5j]), tensor([6+6j]), tensor([7+7j]), tensor([8+8j])]            # Rank 1
2025-03-14T04:34:41.4975699Z         [tensor([9+9j]), tensor([10+10j]), tensor([11+11j]), tensor([12+12j])]      # Rank 2
2025-03-14T04:34:41.4976008Z         [tensor([13+13j]), tensor([14+14j]), tensor([15+15j]), tensor([16+16j])]    # Rank 3
2025-03-14T04:34:41.4976205Z         >>> output = list(torch.empty([4], dtype=torch.int64).chunk(4))
2025-03-14T04:34:41.4976341Z         >>> dist.all_to_all(output, input)
2025-03-14T04:34:41.4976437Z         >>> output
2025-03-14T04:34:41.4976669Z         [tensor([1+1j]), tensor([5+5j]), tensor([9+9j]), tensor([13+13j])]          # Rank 0
2025-03-14T04:34:41.4976890Z         [tensor([2+2j]), tensor([6+6j]), tensor([10+10j]), tensor([14+14j])]        # Rank 1
2025-03-14T04:34:41.4977167Z         [tensor([3+3j]), tensor([7+7j]), tensor([11+11j]), tensor([15+15j])]        # Rank 2
2025-03-14T04:34:41.4977387Z         [tensor([4+4j]), tensor([8+8j]), tensor([12+12j]), tensor([16+16j])]        # Rank 3
2025-03-14T04:34:41.4977487Z     
2025-03-14T04:34:41.4977577Z     
2025-03-14T04:34:41.4977853Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.4977944Z     
2025-03-14T04:34:41.4978061Z       warnings.warn(msg)
2025-03-14T04:34:41.4978152Z     
2025-03-14T04:34:41.4978412Z --- Parse Warning: 43 / 116 ---
2025-03-14T04:34:41.4979292Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=__doc__ in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/launch.py line=2.
2025-03-14T04:34:41.4979578Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.4979676Z     
2025-03-14T04:34:41.4979822Z     Module ``torch.distributed.launch``.
2025-03-14T04:34:41.4979912Z     
2025-03-14T04:34:41.4980184Z     ``torch.distributed.launch`` is a module that spawns up multiple distributed
2025-03-14T04:34:41.4980347Z     training processes on each of the training nodes.
2025-03-14T04:34:41.4980446Z     
2025-03-14T04:34:41.4980550Z     .. warning::
2025-03-14T04:34:41.4980648Z     
2025-03-14T04:34:41.4980919Z         This module is going to be deprecated in favor of :ref:`torchrun <launcher-api>`.
2025-03-14T04:34:41.4981019Z     
2025-03-14T04:34:41.4981267Z     The utility can be used for single-node distributed training, in which one or
2025-03-14T04:34:41.4981526Z     more processes per node will be spawned. The utility can be used for either
2025-03-14T04:34:41.4981753Z     CPU training or GPU training. If the utility is used for GPU training,
2025-03-14T04:34:41.4982021Z     each distributed process will be operating on a single GPU. This can achieve
2025-03-14T04:34:41.4982295Z     well-improved single-node training performance. It can also be used in
2025-03-14T04:34:41.4982587Z     multi-node distributed training, by spawning up multiple processes on each node
2025-03-14T04:34:41.4982828Z     for well-improved multi-node distributed training performance as well.
2025-03-14T04:34:41.4983081Z     This will especially be beneficial for systems with multiple Infiniband
2025-03-14T04:34:41.4983348Z     interfaces that have direct-GPU support, since all of them can be utilized for
2025-03-14T04:34:41.4983484Z     aggregated communication bandwidth.
2025-03-14T04:34:41.4983572Z     
2025-03-14T04:34:41.4983826Z     In both cases of single-node distributed training or multi-node distributed
2025-03-14T04:34:41.4984074Z     training, this utility will launch the given number of processes per node
2025-03-14T04:34:41.4984322Z     (``--nproc-per-node``). If used for GPU training, this number needs to be less
2025-03-14T04:34:41.4984550Z     or equal to the number of GPUs on the current system (``nproc_per_node``),
2025-03-14T04:34:41.4984804Z     and each process will be operating on a single GPU from *GPU 0 to
2025-03-14T04:34:41.4984917Z     GPU (nproc_per_node - 1)*.
2025-03-14T04:34:41.4985015Z     
2025-03-14T04:34:41.4985124Z     **How to use this module:**
2025-03-14T04:34:41.4985223Z     
2025-03-14T04:34:41.4985383Z     1. Single-Node multi-process distributed training
2025-03-14T04:34:41.4985481Z     
2025-03-14T04:34:41.4985603Z     ::
2025-03-14T04:34:41.4985694Z     
2025-03-14T04:34:41.4985953Z         python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE
2025-03-14T04:34:41.4986155Z                    YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3 and all other
2025-03-14T04:34:41.4986303Z                    arguments of your training script)
2025-03-14T04:34:41.4986391Z     
2025-03-14T04:34:41.4986624Z     2. Multi-Node multi-process distributed training: (e.g. two nodes)
2025-03-14T04:34:41.4986713Z     
2025-03-14T04:34:41.4986810Z     
2025-03-14T04:34:41.4986994Z     Node 1: *(IP: 192.168.1.1, and has a free port: 1234)*
2025-03-14T04:34:41.4987096Z     
2025-03-14T04:34:41.4987189Z     ::
2025-03-14T04:34:41.4987289Z     
2025-03-14T04:34:41.4987537Z         python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE
2025-03-14T04:34:41.4987718Z                    --nnodes=2 --node-rank=0 --master-addr="192.168.1.1"
2025-03-14T04:34:41.4987939Z                    --master-port=1234 YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3
2025-03-14T04:34:41.4988112Z                    and all other arguments of your training script)
2025-03-14T04:34:41.4988202Z     
2025-03-14T04:34:41.4988299Z     Node 2:
2025-03-14T04:34:41.4988387Z     
2025-03-14T04:34:41.4988488Z     ::
2025-03-14T04:34:41.4988575Z     
2025-03-14T04:34:41.4988827Z         python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE
2025-03-14T04:34:41.4988994Z                    --nnodes=2 --node-rank=1 --master-addr="192.168.1.1"
2025-03-14T04:34:41.4989221Z                    --master-port=1234 YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3
2025-03-14T04:34:41.4989385Z                    and all other arguments of your training script)
2025-03-14T04:34:41.4989488Z     
2025-03-14T04:34:41.4989661Z     3. To look up what optional arguments this module offers:
2025-03-14T04:34:41.4989759Z     
2025-03-14T04:34:41.4989851Z     ::
2025-03-14T04:34:41.4989949Z     
2025-03-14T04:34:41.4990100Z         python -m torch.distributed.launch --help
2025-03-14T04:34:41.4990200Z     
2025-03-14T04:34:41.4990291Z     
2025-03-14T04:34:41.4990399Z     **Important Notices:**
2025-03-14T04:34:41.4990498Z     
2025-03-14T04:34:41.4990698Z     1. This utility and multi-process distributed (single-node or
2025-03-14T04:34:41.4990974Z     multi-node) GPU training currently only achieves the best performance using
2025-03-14T04:34:41.4991234Z     the NCCL distributed backend. Thus NCCL backend is the recommended backend to
2025-03-14T04:34:41.4991354Z     use for GPU training.
2025-03-14T04:34:41.4991445Z     
2025-03-14T04:34:41.4991709Z     2. In your training program, you must parse the command-line argument:
2025-03-14T04:34:41.4991954Z     ``--local-rank=LOCAL_PROCESS_RANK``, which will be provided by this module.
2025-03-14T04:34:41.4992206Z     If your training program uses GPUs, you should ensure that your code only
2025-03-14T04:34:41.4992408Z     runs on the GPU device of LOCAL_PROCESS_RANK. This can be done by:
2025-03-14T04:34:41.4992510Z     
2025-03-14T04:34:41.4992628Z     Parsing the local_rank argument
2025-03-14T04:34:41.4992726Z     
2025-03-14T04:34:41.4992817Z     ::
2025-03-14T04:34:41.4992913Z     
2025-03-14T04:34:41.4993019Z         >>> # xdoctest: +SKIP
2025-03-14T04:34:41.4993135Z         >>> import argparse
2025-03-14T04:34:41.4993269Z         >>> parser = argparse.ArgumentParser()
2025-03-14T04:34:41.4993485Z         >>> parser.add_argument("--local-rank", "--local_rank", type=int)
2025-03-14T04:34:41.4993605Z         >>> args = parser.parse_args()
2025-03-14T04:34:41.4993733Z     
2025-03-14T04:34:41.4993868Z     Set your device to local rank using either
2025-03-14T04:34:41.4993964Z     
2025-03-14T04:34:41.4994054Z     ::
2025-03-14T04:34:41.4994151Z     
2025-03-14T04:34:41.4994363Z         >>> torch.cuda.set_device(args.local_rank)  # before your code runs
2025-03-14T04:34:41.4994461Z     
2025-03-14T04:34:41.4994549Z     or
2025-03-14T04:34:41.4994635Z     
2025-03-14T04:34:41.4994737Z     ::
2025-03-14T04:34:41.4994850Z     
2025-03-14T04:34:41.4995005Z         >>> with torch.cuda.device(args.local_rank):
2025-03-14T04:34:41.4995213Z         >>>    # your code to run
2025-03-14T04:34:41.4995324Z         >>>    ...
2025-03-14T04:34:41.4995412Z     
2025-03-14T04:34:41.4995541Z     .. versionchanged:: 2.0.0
2025-03-14T04:34:41.4995629Z     
2025-03-14T04:34:41.4995903Z         The launcher will passes the ``--local-rank=<rank>`` argument to your script.
2025-03-14T04:34:41.4996149Z         From PyTorch 2.0.0 onwards, the dashed ``--local-rank`` is preferred over the
2025-03-14T04:34:41.4996349Z         previously used underscored ``--local_rank``.
2025-03-14T04:34:41.4996435Z     
2025-03-14T04:34:41.4996696Z         For backward compatibility, it may be necessary for users to handle both
2025-03-14T04:34:41.4996974Z         cases in their argument parsing code. This means including both ``"--local-rank"``
2025-03-14T04:34:41.4997211Z         and ``"--local_rank"`` in the argument parser. If only ``"--local_rank"`` is
2025-03-14T04:34:41.4997474Z         provided, the launcher will trigger an error: "error: unrecognized arguments:
2025-03-14T04:34:41.4997730Z         --local-rank=<rank>". For training code that only supports PyTorch 2.0.0+,
2025-03-14T04:34:41.4997890Z         including ``"--local-rank"`` should be sufficient.
2025-03-14T04:34:41.4997992Z     
2025-03-14T04:34:41.4998236Z     3. In your training program, you are supposed to call the following function
2025-03-14T04:34:41.4998496Z     at the beginning to start the distributed backend. It is strongly recommended
2025-03-14T04:34:41.4998730Z     that ``init_method=env://``. Other init methods (e.g. ``tcp://``) may work,
2025-03-14T04:34:41.4998944Z     but ``env://`` is the one that is officially supported by this module.
2025-03-14T04:34:41.4999033Z     
2025-03-14T04:34:41.4999138Z     ::
2025-03-14T04:34:41.4999225Z     
2025-03-14T04:34:41.4999449Z         >>> torch.distributed.init_process_group(backend='YOUR BACKEND',
2025-03-14T04:34:41.4999595Z         >>>                                      init_method='env://')
2025-03-14T04:34:41.4999694Z     
2025-03-14T04:34:41.4999946Z     4. In your training program, you can either use regular distributed functions
2025-03-14T04:34:41.5000203Z     or use :func:`torch.nn.parallel.DistributedDataParallel` module. If your
2025-03-14T04:34:41.5000421Z     training program uses GPUs for training and you would like to use
2025-03-14T04:34:41.5000632Z     :func:`torch.nn.parallel.DistributedDataParallel` module,
2025-03-14T04:34:41.5000746Z     here is how to configure it.
2025-03-14T04:34:41.5000848Z     
2025-03-14T04:34:41.5000967Z     ::
2025-03-14T04:34:41.5001068Z     
2025-03-14T04:34:41.5001272Z         >>> model = torch.nn.parallel.DistributedDataParallel(model,
2025-03-14T04:34:41.5001430Z         >>>                                                   device_ids=[args.local_rank],
2025-03-14T04:34:41.5001578Z         >>>                                                   output_device=args.local_rank)
2025-03-14T04:34:41.5001679Z     
2025-03-14T04:34:41.5001931Z     Please ensure that ``device_ids`` argument is set to be the only GPU device id
2025-03-14T04:34:41.5002185Z     that your code will be operating on. This is generally the local rank of the
2025-03-14T04:34:41.5002433Z     process. In other words, the ``device_ids`` needs to be ``[args.local_rank]``,
2025-03-14T04:34:41.5002671Z     and ``output_device`` needs to be ``args.local_rank`` in order to use this
2025-03-14T04:34:41.5002763Z     utility
2025-03-14T04:34:41.5002860Z     
2025-03-14T04:34:41.5003145Z     5. Another way to pass ``local_rank`` to the subprocesses via environment variable
2025-03-14T04:34:41.5003385Z     ``LOCAL_RANK``. This behavior is enabled when you launch the script with
2025-03-14T04:34:41.5003614Z     ``--use-env=True``. You must adjust the subprocess example above to replace
2025-03-14T04:34:41.5003827Z     ``args.local_rank`` with ``os.environ['LOCAL_RANK']``; the launcher
2025-03-14T04:34:41.5004032Z     will not pass ``--local-rank`` when you specify this flag.
2025-03-14T04:34:41.5004134Z     
2025-03-14T04:34:41.5004233Z     .. warning::
2025-03-14T04:34:41.5004321Z     
2025-03-14T04:34:41.5004543Z         ``local_rank`` is NOT globally unique: it is only unique per process
2025-03-14T04:34:41.5004738Z         on a machine.  Thus, don't use it to decide if you should, e.g.,
2025-03-14T04:34:41.5004882Z         write to a networked filesystem.  See
2025-03-14T04:34:41.5005110Z         https://github.com/pytorch/pytorch/issues/12042 for an example of
2025-03-14T04:34:41.5005298Z         how things can go wrong if you don't do this correctly.
2025-03-14T04:34:41.5005417Z     
2025-03-14T04:34:41.5005517Z     
2025-03-14T04:34:41.5005604Z     
2025-03-14T04:34:41.5005705Z     
2025-03-14T04:34:41.5005966Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5006066Z     
2025-03-14T04:34:41.5006169Z       warnings.warn(msg)
2025-03-14T04:34:41.5006269Z     
2025-03-14T04:34:41.5006492Z --- Parse Warning: 44 / 116 ---
2025-03-14T04:34:41.5007580Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=init_from_local_shards in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_shard/sharded_tensor/__init__.py line=361.
2025-03-14T04:34:41.5007857Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5007960Z     
2025-03-14T04:34:41.5008209Z     Creates an :class:`ShardedTensor` from local shards and the global metadata.
2025-03-14T04:34:41.5008388Z     Needs to be called on all ranks in an SPMD fashion.
2025-03-14T04:34:41.5008475Z     
2025-03-14T04:34:41.5008579Z     Args:
2025-03-14T04:34:41.5008862Z         local_shards (List[:class `torch.distributed._shard.sharded_tensor.Shard`]): A list
2025-03-14T04:34:41.5009057Z             of shards that represent the local shards on this rank.
2025-03-14T04:34:41.5009291Z         global_size (int...):  a list, tuple, or `torch.Size` of integers defining the
2025-03-14T04:34:41.5009432Z             shape of the overall sharded tensor.
2025-03-14T04:34:41.5009518Z     
2025-03-14T04:34:41.5009626Z     Keyword args:
2025-03-14T04:34:41.5009899Z         process_group (ProcessGroup, optional): The process group to work on. If None,
2025-03-14T04:34:41.5010046Z             the default process group will be used.
2025-03-14T04:34:41.5010227Z         init_rrefs (bool, optional): Whether or not to initialize
2025-03-14T04:34:41.5010459Z             :class:`torch.distributed.rpc.RRef`s pointing to remote shards.
2025-03-14T04:34:41.5010687Z             Need to initialize the RPC Framework if specified as ``True``.
2025-03-14T04:34:41.5010808Z             Default: ``False``.
2025-03-14T04:34:41.5010897Z     
2025-03-14T04:34:41.5011000Z     Returns:
2025-03-14T04:34:41.5011158Z         A :class:`ShardedTensor` object handle on this rank
2025-03-14T04:34:41.5011258Z     
2025-03-14T04:34:41.5011346Z     
2025-03-14T04:34:41.5011452Z     Examples:
2025-03-14T04:34:41.5011712Z         Suppose we want construct a sharded tensor on two ranks, global size = (10, 5),
2025-03-14T04:34:41.5011914Z         each shard have a (5, 5) local tensor, we can do it like below:
2025-03-14T04:34:41.5011999Z     
2025-03-14T04:34:41.5012107Z         on rank 0:
2025-03-14T04:34:41.5012237Z         >>> # xdoctest: +SKIP("not distributed")
2025-03-14T04:34:41.5012368Z         >>> local_shard_metadata = ShardMetadata(
2025-03-14T04:34:41.5012492Z         >>>     shard_offsets=[0, 0],
2025-03-14T04:34:41.5012650Z         >>>     shard_lengths=[5, 5],
2025-03-14T04:34:41.5012779Z         >>>     placement="rank:0/cuda:0"
2025-03-14T04:34:41.5012871Z         >>> )
2025-03-14T04:34:41.5013090Z         >>> local_shards = [Shard(torch.randn(5, 5), local_shard_metadata)]
2025-03-14T04:34:41.5013292Z         >>> sharded_tensor = init_from_local_shards(local_shards, [10, 5])
2025-03-14T04:34:41.5013394Z     
2025-03-14T04:34:41.5013513Z         on rank 1:
2025-03-14T04:34:41.5013657Z         >>> # xdoctest: +SKIP("not distributed")
2025-03-14T04:34:41.5013787Z         >>> local_shard_metadata = ShardMetadata(
2025-03-14T04:34:41.5013912Z         >>>     shard_offsets=[5, 0],
2025-03-14T04:34:41.5014021Z         >>>     shard_lengths=[5, 5],
2025-03-14T04:34:41.5014154Z         >>>     placement="rank:1/cuda:1"
2025-03-14T04:34:41.5014243Z         >>> )
2025-03-14T04:34:41.5014458Z         >>> local_shards = [Shard(torch.randn(5, 5), local_shard_metadata)]
2025-03-14T04:34:41.5014657Z         >>> sharded_tensor = init_from_local_shards(local_shards, [10, 5])
2025-03-14T04:34:41.5014788Z     
2025-03-14T04:34:41.5015053Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5015154Z     
2025-03-14T04:34:41.5015265Z       warnings.warn(msg)
2025-03-14T04:34:41.5015369Z     
2025-03-14T04:34:41.5015568Z --- Parse Warning: 45 / 116 ---
2025-03-14T04:34:41.5016706Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ShardedTensor._init_from_local_tensor in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_shard/sharded_tensor/api.py line=799.
2025-03-14T04:34:41.5016979Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5017082Z     
2025-03-14T04:34:41.5017351Z     Initialize a ShardedTensor given only one local tensor, global sharded tensor
2025-03-14T04:34:41.5017485Z     size and sharding spec on each rank.
2025-03-14T04:34:41.5017578Z     
2025-03-14T04:34:41.5017685Z     Args:
2025-03-14T04:34:41.5017918Z         local_tensor (Tensor): Single tensor of local shard stored in each rank.
2025-03-14T04:34:41.5018201Z         sharding_spec (:class:`torch.distributed._shard.sharding_spec.ShardingSpec`):
2025-03-14T04:34:41.5018378Z             The specification describing how to shard the Tensor.
2025-03-14T04:34:41.5018574Z         global_size (Sequence[int]): Size of the sharded tensor.
2025-03-14T04:34:41.5018836Z         process_group (ProcessGroup, optional): The process group to aggregate on.
2025-03-14T04:34:41.5018951Z             Default: None
2025-03-14T04:34:41.5019130Z         init_rrefs (bool, optional): Whether or not to initialize
2025-03-14T04:34:41.5019361Z             :class:`torch.distributed.rpc.RRef`s pointing to remote shards.
2025-03-14T04:34:41.5019560Z             Need to initialize the RPC Framework if specified as ``True``.
2025-03-14T04:34:41.5019680Z             Default: ``False``.
2025-03-14T04:34:41.5019772Z     
2025-03-14T04:34:41.5019902Z     Returns:
2025-03-14T04:34:41.5020158Z         A :class:`ShardedTensor` sharded based on the given sharding_spec with local
2025-03-14T04:34:41.5020295Z             tensor stored in the current rank.
2025-03-14T04:34:41.5020383Z     
2025-03-14T04:34:41.5020492Z     Examples:
2025-03-14T04:34:41.5020599Z         >>> # xdoctest: +SKIP
2025-03-14T04:34:41.5020757Z         >>> # All tensors below are of torch.int64 type.
2025-03-14T04:34:41.5020883Z         >>> # We have 2 process groups, 2 ranks.
2025-03-14T04:34:41.5021078Z         >>> tensor = torch.arange(2, dtype=torch.int64) + 1 + 2 * rank
2025-03-14T04:34:41.5021288Z         >>> local_tensor = torch.unsqueeze(torch.cat([tensor, tensor + 2]))
2025-03-14T04:34:41.5021399Z         >>> local_tensor
2025-03-14T04:34:41.5021508Z         tensor([[1, 2, 3, 4]]) # Rank 0
2025-03-14T04:34:41.5021615Z         tensor([[3, 4, 5, 6]]) # Rank 1
2025-03-14T04:34:41.5021732Z         >>> sharding_dim = 0
2025-03-14T04:34:41.5021896Z         >>> sharding_spec = ChunkShardingSpec(
2025-03-14T04:34:41.5022014Z                 dim=sharding_dim,
2025-03-14T04:34:41.5022123Z                 placements=[
2025-03-14T04:34:41.5022241Z                     "rank:0/cuda:0",
2025-03-14T04:34:41.5022343Z                     "rank:1/cuda:1",
2025-03-14T04:34:41.5022444Z                 ],
2025-03-14T04:34:41.5022534Z             )
2025-03-14T04:34:41.5022712Z         >>> st = ShardedTensor._init_from_local_tensor(
2025-03-14T04:34:41.5022846Z         ...     local_tensor, sharding_spec, [2, 4]
2025-03-14T04:34:41.5022948Z         ... )
2025-03-14T04:34:41.5023040Z         >>> st
2025-03-14T04:34:41.5023153Z         ShardedTensor(
2025-03-14T04:34:41.5023267Z             ShardedTensorMetadata(
2025-03-14T04:34:41.5023384Z                 shards_metadata=[
2025-03-14T04:34:41.5023668Z                     ShardMetadata(shard_offsets=[0, 0], shard_sizes=[1, 4], placement=rank:0/cuda:0),
2025-03-14T04:34:41.5023954Z                     ShardMetadata(shard_offsets=[1, 0], shard_sizes=[1, 4], placement=rank:1/cuda:1),
2025-03-14T04:34:41.5024075Z                 ],
2025-03-14T04:34:41.5024202Z                 size=torch.Size([2, 4])
2025-03-14T04:34:41.5024292Z         )
2025-03-14T04:34:41.5024408Z         >>> st.local_tensor()
2025-03-14T04:34:41.5024514Z         tensor([1, 2, 3, 4]) # Rank 0
2025-03-14T04:34:41.5024634Z         tensor([3, 4, 5, 6]) # Rank 1
2025-03-14T04:34:41.5024725Z     
2025-03-14T04:34:41.5025020Z     Warning: This API is experimental and subject to change. It lacks of a fully across
2025-03-14T04:34:41.5025270Z              rank validations, and we only validate the local shard on the current rank.
2025-03-14T04:34:41.5025502Z              We fully rely on the user to ensure local tensor is sharded based on the
2025-03-14T04:34:41.5025605Z              sharding spec.
2025-03-14T04:34:41.5025702Z     
2025-03-14T04:34:41.5025967Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5026071Z     
2025-03-14T04:34:41.5026178Z       warnings.warn(msg)
2025-03-14T04:34:41.5026280Z     
2025-03-14T04:34:41.5026480Z --- Parse Warning: 46 / 116 ---
2025-03-14T04:34:41.5027564Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ShardedTensor.reshard in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_shard/sharded_tensor/api.py line=1040.
2025-03-14T04:34:41.5027838Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5027941Z     
2025-03-14T04:34:41.5028203Z     Reshard a sharded tensor given the ``resharding_spec``. For now, we only support
2025-03-14T04:34:41.5028318Z     single local shard.
2025-03-14T04:34:41.5028406Z     
2025-03-14T04:34:41.5028652Z     If ``resharding_spec`` is same as the original one, this becomes a no-op.
2025-03-14T04:34:41.5028907Z     If only ``resharding_spec`` shares the same sharding dim with the original one,
2025-03-14T04:34:41.5029239Z     we swap local shards directly.
2025-03-14T04:34:41.5029516Z     For more generic cases, we merge different shards across different ranks and split
2025-03-14T04:34:41.5029791Z     the local shards based on the ``resharding_spec`` via `all_to_all` collective API.
2025-03-14T04:34:41.5029880Z     
2025-03-14T04:34:41.5029981Z     Args:
2025-03-14T04:34:41.5030286Z         resharding_spec (:class:`torch.distributed._shard.sharding_spec.ShardingSpec`): The
2025-03-14T04:34:41.5030473Z             specification describing how the tensor is sharded.
2025-03-14T04:34:41.5030561Z     
2025-03-14T04:34:41.5030663Z     Returns:
2025-03-14T04:34:41.5030879Z         A :class:`ShardedTensor` object whose local shards are resharded.
2025-03-14T04:34:41.5030979Z     
2025-03-14T04:34:41.5031073Z     Examples:
2025-03-14T04:34:41.5031188Z         >>> # xdoctest: +SKIP
2025-03-14T04:34:41.5031318Z         >>> # We have 2 process groups, 2 ranks.
2025-03-14T04:34:41.5031543Z         >>> tensor = torch.arange(4, dtype=torch.int64) + 1 + 2 * rank
2025-03-14T04:34:41.5031676Z         >>> tensor = torch.stack([tensor, tensor])
2025-03-14T04:34:41.5031780Z         >>> tensor
2025-03-14T04:34:41.5031908Z         tensor([[1, 2, 3, 4], [1, 2, 3, 4]]) # Rank 0
2025-03-14T04:34:41.5032044Z         tensor([[3, 4, 5, 6], [3, 4, 5, 6]]) # Rank 1
2025-03-14T04:34:41.5032169Z         tensor([[5, 6, 7, 8], [5, 6, 7, 8]]) # Rank 2
2025-03-14T04:34:41.5032339Z         tensor([[7, 8, 9, 10], [7, 8, 9, 10]]) # Rank 3
2025-03-14T04:34:41.5032448Z         >>> sharding_dim = 0
2025-03-14T04:34:41.5032578Z         >>> spec = ChunkShardingSpec(
2025-03-14T04:34:41.5032685Z                 dim=sharding_dim,
2025-03-14T04:34:41.5032800Z                 placements=[
2025-03-14T04:34:41.5032907Z                     "rank:0/cuda:0",
2025-03-14T04:34:41.5033021Z                     "rank:1/cuda:1",
2025-03-14T04:34:41.5033125Z                     "rank:2/cuda:2",
2025-03-14T04:34:41.5033228Z                     "rank:3/cuda:3",
2025-03-14T04:34:41.5033367Z                 ],
2025-03-14T04:34:41.5033453Z             )
2025-03-14T04:34:41.5033584Z         >>> current_offsets = [0] * 2
2025-03-14T04:34:41.5033697Z         >>> current_offsets[0] = rank * 2
2025-03-14T04:34:41.5033834Z         >>> shard_metadata = ShardMetadata(
2025-03-14T04:34:41.5033991Z                 shard_offsets=copy.deepcopy(current_offsets),
2025-03-14T04:34:41.5034120Z                 shard_sizes=tensor.size(),
2025-03-14T04:34:41.5034254Z                 placement=spec.placements[rank],
2025-03-14T04:34:41.5034357Z             )
2025-03-14T04:34:41.5034460Z         >>> local_shards = [
2025-03-14T04:34:41.5034564Z                 Shard(
2025-03-14T04:34:41.5034668Z                     tensor=tensor,
2025-03-14T04:34:41.5034801Z                     metadata=shard_metadata,
2025-03-14T04:34:41.5034890Z                 )
2025-03-14T04:34:41.5034993Z             ]
2025-03-14T04:34:41.5035290Z         >>> st = ShardedTensor._init_from_local_shards(local_shards, tensor.size())
2025-03-14T04:34:41.5035418Z         >>> sharding_dim = 1
2025-03-14T04:34:41.5035546Z         >>> resharding_spec = ChunkShardingSpec(
2025-03-14T04:34:41.5035664Z                 dim=sharding_dim,
2025-03-14T04:34:41.5035765Z                 placements=[
2025-03-14T04:34:41.5035883Z                     "rank:0/cuda:0",
2025-03-14T04:34:41.5035982Z                     "rank:1/cuda:1",
2025-03-14T04:34:41.5036096Z                     "rank:2/cuda:2",
2025-03-14T04:34:41.5036193Z                     "rank:3/cuda:3",
2025-03-14T04:34:41.5036296Z                 ],
2025-03-14T04:34:41.5036380Z             )
2025-03-14T04:34:41.5036510Z         >>> st.reshard(resharding_spec)
2025-03-14T04:34:41.5036629Z         >>> tensor = st.local_shards()[0].tensor
2025-03-14T04:34:41.5036735Z         >>> tensor
2025-03-14T04:34:41.5036881Z         tensor([[1], [1], [3], [3], [5], [5], [7], [7]]) # Rank 0
2025-03-14T04:34:41.5037026Z         tensor([[2], [2], [4], [4], [6], [6], [8], [8]]) # Rank 1
2025-03-14T04:34:41.5037210Z         tensor([[3], [3], [5], [5], [7], [7], [9], [9]]) # Rank 2
2025-03-14T04:34:41.5037361Z         tensor([[4], [4], [6], [6], [8], [8], [10], [10]]) # Rank 3
2025-03-14T04:34:41.5037457Z     
2025-03-14T04:34:41.5037719Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5037814Z     
2025-03-14T04:34:41.5037918Z       warnings.warn(msg)
2025-03-14T04:34:41.5038013Z     
2025-03-14T04:34:41.5038229Z --- Parse Warning: 47 / 116 ---
2025-03-14T04:34:41.5039256Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ShardingPlan in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_shard/sharding_plan/api.py line=12.
2025-03-14T04:34:41.5039529Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5039627Z     
2025-03-14T04:34:41.5039853Z     Representation of a sharding plan, describes how to shard a module
2025-03-14T04:34:41.5040172Z     across hosts. `plan` is used to shard module parameters according to the spec provided,
2025-03-14T04:34:41.5040470Z     `output_plan` and `return_local_tensor` are optional, they are used to specify the output
2025-03-14T04:34:41.5040738Z     layout of a module with a spec, and when to convert back to data parallel fashion.
2025-03-14T04:34:41.5040822Z     
2025-03-14T04:34:41.5040949Z     Args:
2025-03-14T04:34:41.5041226Z         plan (Dict[str, Union[:class:`torch.distributed._shard.sharding_spec.ShardingSpec`,
2025-03-14T04:34:41.5041411Z               :class:`torch.distributed._shard.sharder.Sharder`]):
2025-03-14T04:34:41.5041695Z             a dict describes how to shard a module, there're currently two ways to shard a module:
2025-03-14T04:34:41.5041969Z                 1. directly shard a module parameter by a `ShardingSpec`, keyed by the name of
2025-03-14T04:34:41.5042101Z                    a parameter to a `ShardingSpec`.
2025-03-14T04:34:41.5042410Z                 2. shard a submodule by applying a `Sharder` on it, keyed by the name of a module
2025-03-14T04:34:41.5042521Z                    to a `Sharder` object.
2025-03-14T04:34:41.5042871Z         output_plan (Dict[str, :class:`torch.distributed._shard.sharding_spec.ShardingSpec`), optional):
2025-03-14T04:34:41.5043142Z             a dict specifies the layout of a module's output which produces a ShardedTensor,
2025-03-14T04:34:41.5043398Z             keyed by the name of module to ShardingSpec("" in key means the root module).
2025-03-14T04:34:41.5043500Z             Default: `None`
2025-03-14T04:34:41.5043778Z         return_local_tensor (List[str], optional): a list of string, each element enables
2025-03-14T04:34:41.5044026Z             a module's sharded output to be returned as a Tensor from its local shards to
2025-03-14T04:34:41.5044297Z             ensure further processing in a data parallel fashion. ("" in list means the
2025-03-14T04:34:41.5044398Z             root module).
2025-03-14T04:34:41.5044511Z             Default: None
2025-03-14T04:34:41.5044602Z     Example:
2025-03-14T04:34:41.5044908Z       Suppose we want to shard a module with two linear layers and then run it with DDP, we also
2025-03-14T04:34:41.5045199Z       want to convert the output of the second linear layer back to DDP, we can do it as follows:
2025-03-14T04:34:41.5045297Z     
2025-03-14T04:34:41.5045478Z         >>> # xdoctest: +REQUIRES(module:torch._C._distributed_c10d)
2025-03-14T04:34:41.5045609Z         >>> class MyModule(nn.Module):
2025-03-14T04:34:41.5045725Z         >>>     def __init__(self) -> None:
2025-03-14T04:34:41.5045844Z         >>>        super().__init__()
2025-03-14T04:34:41.5045955Z         >>>        self.fc1 = nn.Linear()
2025-03-14T04:34:41.5046076Z         >>>        self.gelu = nn.GELU()
2025-03-14T04:34:41.5046184Z         >>>        self.fc2 = nn.Linear()
2025-03-14T04:34:41.5046308Z         >>>        self.relu = nn.Linear()
2025-03-14T04:34:41.5046400Z         >>>
2025-03-14T04:34:41.5046569Z         >>>     def forward(self, input):
2025-03-14T04:34:41.5046753Z         >>>         return self.relu(self.fc2(self.gelu(self.fc1(input))))
2025-03-14T04:34:41.5046851Z     
2025-03-14T04:34:41.5046937Z     
2025-03-14T04:34:41.5047089Z         >>> # xdoctest: +SKIP("Undefined spec1, spec2)
2025-03-14T04:34:41.5047208Z         >>> sharding_plan = ShardingPlan(
2025-03-14T04:34:41.5047318Z         >>>    plan={
2025-03-14T04:34:41.5047425Z         >>>        "fc1.weight": spec1,
2025-03-14T04:34:41.5047548Z         >>>        "fc2.weight": spec2
2025-03-14T04:34:41.5047638Z         >>>    },
2025-03-14T04:34:41.5047756Z         >>>    output_plan={
2025-03-14T04:34:41.5047861Z         >>>        "fc2": output_spec
2025-03-14T04:34:41.5047967Z         >>>    },
2025-03-14T04:34:41.5048083Z         >>>    return_local_tensor=["fc2"]
2025-03-14T04:34:41.5048186Z         >>> )
2025-03-14T04:34:41.5048272Z     
2025-03-14T04:34:41.5048553Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5048668Z     
2025-03-14T04:34:41.5048772Z       warnings.warn(msg)
2025-03-14T04:34:41.5048870Z     
2025-03-14T04:34:41.5049070Z --- Parse Warning: 48 / 116 ---
2025-03-14T04:34:41.5050252Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=post_localSGD_hook in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/post_localSGD_hook.py line=72.
2025-03-14T04:34:41.5050538Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5050625Z     
2025-03-14T04:34:41.5050742Z     Run post-localSGD algorithm.
2025-03-14T04:34:41.5050839Z     
2025-03-14T04:34:41.5051092Z     This DDP communication hook is used for running post-localSGD algorithm,
2025-03-14T04:34:41.5051269Z     by combining with a model averaging component (e.g.,
2025-03-14T04:34:41.5051607Z     :class:`~torch.distributed.algorithms.model_averaging.averagers.PeriodicModelAverager`)
2025-03-14T04:34:41.5051766Z     that runs after the optimizer step.
2025-03-14T04:34:41.5051854Z     
2025-03-14T04:34:41.5051955Z     Args:
2025-03-14T04:34:41.5052189Z         state (PostLocalSGDState): State information to run post-localSGD.
2025-03-14T04:34:41.5052490Z             Users mainly need to tune ``start_localSGD_iter`` to determine when to start local SGD.
2025-03-14T04:34:41.5052923Z         bucket (dist.GradBucket): Bucket that stores a 1D flattened gradient tensor that batches multiple per-variable tensors.
2025-03-14T04:34:41.5053190Z             Note that since DDP comm hook only supports single process single device mode,
2025-03-14T04:34:41.5053349Z             only exactly one tensor is stored in this bucket.
2025-03-14T04:34:41.5053448Z     
2025-03-14T04:34:41.5053540Z     Returns:
2025-03-14T04:34:41.5053802Z         Future handler of the communication, which updates the gradients in place.
2025-03-14T04:34:41.5053893Z     
2025-03-14T04:34:41.5054007Z     Example::
2025-03-14T04:34:41.5054112Z         >>> # xdoctest: +SKIP
2025-03-14T04:34:41.5054385Z         >>> state = PostLocalSGDState(process_group=process_group, subgroup=subgroup,
2025-03-14T04:34:41.5054513Z                                   start_localSGD_iter=10)
2025-03-14T04:34:41.5054704Z         >>> ddp_model.register_comm_hook(state, post_localSGD_hook)
2025-03-14T04:34:41.5055053Z         >>> # Also need to establish a model averaging module and run model averaging after ``optimizer.step()``.
2025-03-14T04:34:41.5055418Z         >>> # Please refer to the examples in ``torch.distributed.algorithms.model_averaging.averagers`` module.
2025-03-14T04:34:41.5055506Z     
2025-03-14T04:34:41.5055775Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5055864Z     
2025-03-14T04:34:41.5055978Z       warnings.warn(msg)
2025-03-14T04:34:41.5056062Z     
2025-03-14T04:34:41.5056270Z --- Parse Warning: 49 / 116 ---
2025-03-14T04:34:41.5057396Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=powerSGD_hook in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py line=342.
2025-03-14T04:34:41.5057677Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5057765Z     
2025-03-14T04:34:41.5057894Z     Implement PowerSGD algorithm.
2025-03-14T04:34:41.5057982Z     
2025-03-14T04:34:41.5058231Z     This DDP communication hook implements PowerSGD gradient compression
2025-03-14T04:34:41.5058477Z     algorithm described in the `paper <https://arxiv.org/abs/1905.13727>`_.
2025-03-14T04:34:41.5058737Z     Once gradient tensors are aggregated across all workers, this hook applies
2025-03-14T04:34:41.5058846Z     compression as follows:
2025-03-14T04:34:41.5058944Z     
2025-03-14T04:34:41.5059399Z     1. Views the input flattened 1D gradient tensor as a list of per-parameter tensors, and divides all the tensors into two groups:
2025-03-14T04:34:41.5059525Z     
2025-03-14T04:34:41.5059959Z         1.1 The tensors that should be compressed before allreduce, because the compression can give enough saving in bandwidth.
2025-03-14T04:34:41.5060058Z     
2025-03-14T04:34:41.5060500Z         1.2 Rest of the tensors will be directly allreduced without compression, including all the vector tensors (for biases).
2025-03-14T04:34:41.5060602Z     
2025-03-14T04:34:41.5060719Z     2. Handles uncompressed tensors:
2025-03-14T04:34:41.5060820Z     
2025-03-14T04:34:41.5061349Z         2.1. Allocate contiguous memory for those uncompressed tensors, and allreduces all the uncompressed tensors as a batch, without compression;
2025-03-14T04:34:41.5061451Z     
2025-03-14T04:34:41.5061800Z         2.2. Copies the individual uncompressed tensors from the contiguous memory back to the input tensor.
2025-03-14T04:34:41.5061901Z     
2025-03-14T04:34:41.5062175Z     3. Handles the tensors that should be compressed by PowerSGD compression:
2025-03-14T04:34:41.5062274Z     
2025-03-14T04:34:41.5062523Z         3.1. For each tensor M, creates two low-rank tensors P and Q for decomposing M,
2025-03-14T04:34:41.5062856Z         such that M = PQ^T, where Q is initialized from a standard normal distribution and orthogonalized;
2025-03-14T04:34:41.5062941Z     
2025-03-14T04:34:41.5063112Z         3.2. Computes each P in Ps, which is equal to MQ;
2025-03-14T04:34:41.5063197Z     
2025-03-14T04:34:41.5063328Z         3.3. Allreduces Ps as a batch;
2025-03-14T04:34:41.5063414Z     
2025-03-14T04:34:41.5063552Z         3.4. Orthogonalizes each P in Ps;
2025-03-14T04:34:41.5063637Z     
2025-03-14T04:34:41.5063857Z         3.5. Computes each Q in Qs, which is approximately equal to M^TP;
2025-03-14T04:34:41.5063942Z     
2025-03-14T04:34:41.5064059Z         3.6. Allreduces Qs as a batch;
2025-03-14T04:34:41.5064157Z     
2025-03-14T04:34:41.5064469Z         3.7. Computes each M among all the compressed tensors, which is approximately equal to PQ^T.
2025-03-14T04:34:41.5064573Z     
2025-03-14T04:34:41.5064997Z     Note that this communication hook enforces vanilla allreduce for the first ``state.start_powerSGD_iter`` iterations.
2025-03-14T04:34:41.5065303Z     This not only gives the user more control over the tradeoff between speedup and accuracy,
2025-03-14T04:34:41.5065751Z     but also helps abstract away some complexity of the internal optimization of DDP for future communication hook developers.
2025-03-14T04:34:41.5065850Z     
2025-03-14T04:34:41.5065940Z     Args:
2025-03-14T04:34:41.5066400Z         state (PowerSGDState): State information to configure the compression rate and support error feedback, warm start, etc.
2025-03-14T04:34:41.5066769Z             To tune the compression configs, mainly need to tune ``matrix_approximation_rank``, ``start_powerSGD_iter``
2025-03-14T04:34:41.5067112Z             and ``min_compression_rate``.
2025-03-14T04:34:41.5067628Z         bucket (dist.GradBucket): Bucket that stores a 1D flattened gradient tensor that batches multiple per-variable tensors.
2025-03-14T04:34:41.5067904Z             Note that since DDP comm hook only supports single process single device mode,
2025-03-14T04:34:41.5068080Z             only exactly one tensor is stored in this bucket.
2025-03-14T04:34:41.5068168Z     
2025-03-14T04:34:41.5068261Z     Returns:
2025-03-14T04:34:41.5068530Z         Future handler of the communication, which updates the gradients in place.
2025-03-14T04:34:41.5068616Z     
2025-03-14T04:34:41.5068727Z     Example::
2025-03-14T04:34:41.5068833Z         >>> # xdoctest: +SKIP
2025-03-14T04:34:41.5069131Z         >>> state = PowerSGDState(process_group=process_group, matrix_approximation_rank=1,
2025-03-14T04:34:41.5069300Z                                   start_powerSGD_iter=10, min_compression_rate=0.5)
2025-03-14T04:34:41.5069484Z         >>> ddp_model.register_comm_hook(state, powerSGD_hook)
2025-03-14T04:34:41.5069613Z     
2025-03-14T04:34:41.5069894Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5069980Z     
2025-03-14T04:34:41.5070097Z       warnings.warn(msg)
2025-03-14T04:34:41.5070181Z     
2025-03-14T04:34:41.5070409Z --- Parse Warning: 50 / 116 ---
2025-03-14T04:34:41.5071579Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=PeriodicModelAverager in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/model_averaging/averagers.py line=38.
2025-03-14T04:34:41.5071869Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5071952Z     
2025-03-14T04:34:41.5072165Z     Averages parameters periodically after the warm-up stage.
2025-03-14T04:34:41.5072250Z     
2025-03-14T04:34:41.5072534Z     This can be used for running `post-local SGD <https://arxiv.org/abs/1808.07217>`_,
2025-03-14T04:34:41.5072774Z     by running :class:`~torch.nn.DistributedDataParallel` (DDP)
2025-03-14T04:34:41.5073033Z     using the subgroups created by :meth:`~torch.distributed.new_subgroups`.
2025-03-14T04:34:41.5073118Z     
2025-03-14T04:34:41.5073223Z     Args:
2025-03-14T04:34:41.5073397Z         period (int): The number of steps per model averaging.
2025-03-14T04:34:41.5073690Z                       Usually the period should be greater than ``1`` to reduce the communication cost.
2025-03-14T04:34:41.5073827Z                       Otherwise, only DDP needs to be used.
2025-03-14T04:34:41.5074058Z         warmup_steps (int): The number of warm-up steps. During this stage,
2025-03-14T04:34:41.5074185Z                             model averaging is skipped.
2025-03-14T04:34:41.5074393Z         process_group: The process group to be used for all-reduce.
2025-03-14T04:34:41.5074543Z                        If ``None``, the default process group, which
2025-03-14T04:34:41.5074755Z                        is created by :func:`torch.distributed.init_process_group`,
2025-03-14T04:34:41.5074889Z                        will be used. (default: ``None``)
2025-03-14T04:34:41.5074990Z     
2025-03-14T04:34:41.5075148Z     Example::
2025-03-14T04:34:41.5075251Z     
2025-03-14T04:34:41.5075387Z         >>> # xdoctest: +SKIP("undefined variables")
2025-03-14T04:34:41.5075500Z         >>> import torch
2025-03-14T04:34:41.5075626Z         >>> import torch.distributed as dist
2025-03-14T04:34:41.5075963Z         >>> import torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook as post_localSGD
2025-03-14T04:34:41.5076240Z         >>> import torch.distributed.algorithms.model_averaging.averagers as averagers
2025-03-14T04:34:41.5076361Z         >>> import torch.nn as nn
2025-03-14T04:34:41.5076448Z         >>>
2025-03-14T04:34:41.5076646Z         >>> dist.init_process_group("nccl", rank=rank, world_size=16)
2025-03-14T04:34:41.5076763Z         >>> torch.cuda.set_device(rank)
2025-03-14T04:34:41.5076914Z         >>> module = nn.Linear(1, 1, bias=False).cuda()
2025-03-14T04:34:41.5077110Z         >>> model = nn.parallel.DistributedDataParallel(
2025-03-14T04:34:41.5077270Z         >>>    module, device_ids=[rank], output_device=rank
2025-03-14T04:34:41.5077355Z         >>> )
2025-03-14T04:34:41.5077521Z         >>> # Register a post-localSGD communication hook.
2025-03-14T04:34:41.5077828Z         >>> state = PostLocalSGDState(process_group=None, subgroup=None, start_localSGD_iter=100)
2025-03-14T04:34:41.5078013Z         >>> model.register_comm_hook(state, post_localSGD_hook)
2025-03-14T04:34:41.5078101Z         >>>
2025-03-14T04:34:41.5078392Z         >>> # In the first 100 steps, run global gradient averaging like normal DDP at every step.
2025-03-14T04:34:41.5078553Z         >>> # After 100 steps, run model averaging every 4 steps.
2025-03-14T04:34:41.5078889Z         >>> # Note that ``warmup_steps`` must be the same as ``start_localSGD_iter`` used in ``PostLocalSGDState``.
2025-03-14T04:34:41.5079148Z         >>> averager = averagers.PeriodicModelAverager(period=4, warmup_steps=100)
2025-03-14T04:34:41.5079303Z         >>> for step in range(0, 200):
2025-03-14T04:34:41.5079415Z         >>>    optimizer.zero_grad()
2025-03-14T04:34:41.5079549Z         >>>    loss = loss_fn(output, labels)
2025-03-14T04:34:41.5079657Z         >>>    loss.backward()
2025-03-14T04:34:41.5079776Z         >>>    optimizer.step()
2025-03-14T04:34:41.5080002Z         >>>    # Will average model parameters globally every 4 steps. Thus,
2025-03-14T04:34:41.5080226Z         >>>    # inter-node communication only occurs every 4 iterations after
2025-03-14T04:34:41.5080356Z         >>>    # the initial ``warmup_steps`` period.
2025-03-14T04:34:41.5080536Z         >>>    averager.average_parameters(model.parameters())
2025-03-14T04:34:41.5080624Z     
2025-03-14T04:34:41.5080885Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5080989Z     
2025-03-14T04:34:41.5081091Z       warnings.warn(msg)
2025-03-14T04:34:41.5081236Z     
2025-03-14T04:34:41.5081445Z --- Parse Warning: 51 / 116 ---
2025-03-14T04:34:41.5082712Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=HierarchicalModelAverager in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/model_averaging/hierarchical_model_averager.py line=19.
2025-03-14T04:34:41.5083002Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5083094Z     
2025-03-14T04:34:41.5083441Z     Runs hierarchical model averaging (`hierarchical SGD <https://arxiv.org/pdf/2010.12998.pdf>`_).
2025-03-14T04:34:41.5083543Z     
2025-03-14T04:34:41.5083862Z     Process groups of different sizes are organized in a hierarchy, and they average parameters
2025-03-14T04:34:41.5084092Z     by using different periods concurrently after the warm-up stage.
2025-03-14T04:34:41.5084514Z     This is an extension of :class:`~torch.distributed.algorithms.model_averaging.averagers.PeriodicModelAverager`
2025-03-14T04:34:41.5084879Z     that supports `post-local SGD <https://arxiv.org/abs/1808.07217>`_, which essentially only supports
2025-03-14T04:34:41.5085208Z     a two-level hierarchy: the intra-machine level and the global level, where the intra-machine
2025-03-14T04:34:41.5085573Z     level is usually embedded in :meth:`~torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook`.
2025-03-14T04:34:41.5085890Z     Similarly, the process groups within this class do not have such an intra-machine process
2025-03-14T04:34:41.5086174Z     subgroup, which should be embedded by the post-local SGD communication hook instead.
2025-03-14T04:34:41.5086272Z     
2025-03-14T04:34:41.5086364Z     Args:
2025-03-14T04:34:41.5086643Z         period_group_size_dict: An ordered dict mapping keys of model averaging period to
2025-03-14T04:34:41.5086852Z                                 process group size, used for initializing process groups of
2025-03-14T04:34:41.5087126Z                                 different sizes in a hierarchy to average parameters concurrently.
2025-03-14T04:34:41.5087350Z                                 Particularly, at each iteration, there will be at most a single
2025-03-14T04:34:41.5087602Z                                 process group that runs averaging -- the period of such group should
2025-03-14T04:34:41.5087828Z                                 have the largest period which the current step can be divided by.
2025-03-14T04:34:41.5088015Z                                 For example, if the dict has three keys: 2, 4, and 8,
2025-03-14T04:34:41.5088232Z                                 then this means totally three process groups will be created to
2025-03-14T04:34:41.5088456Z                                 average parameters every 2, 4, and 8 iterations, respectively.
2025-03-14T04:34:41.5088653Z                                 At the 4th iteration, only the second process group will run
2025-03-14T04:34:41.5088847Z                                 averaging, because the first process group should be a
2025-03-14T04:34:41.5089107Z                                 subset of the second process group, and no need to execute the first
2025-03-14T04:34:41.5089245Z                                 process group redundantly.
2025-03-14T04:34:41.5089455Z                                 On the other hand, the third process group can only be triggered
2025-03-14T04:34:41.5089725Z                                 every 8 iterations, so it will not be triggered at the 4th iteration.
2025-03-14T04:34:41.5090042Z         warmup_steps (int): The number of warm-up steps. During this stage, model averaging is skipped.
2025-03-14T04:34:41.5090509Z         process_group (ProcessGroup, optional): The overall process group containing all the processes that runs model averaging.
2025-03-14T04:34:41.5090691Z                                                 If ``None``, the default process group, which is created
2025-03-14T04:34:41.5090919Z                                                 by :func:`torch.distributed.init_process_group`, will be used.
2025-03-14T04:34:41.5091076Z                                                 (default: ``None``)
2025-03-14T04:34:41.5091175Z     
2025-03-14T04:34:41.5091280Z     Example::
2025-03-14T04:34:41.5091421Z         >>> # xdoctest: +SKIP('undefined rank')
2025-03-14T04:34:41.5091553Z         >>> from collections import OrderedDict
2025-03-14T04:34:41.5091668Z         >>> import torch
2025-03-14T04:34:41.5091795Z         >>> import torch.distributed as dist
2025-03-14T04:34:41.5092092Z         >>> from torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook import (
2025-03-14T04:34:41.5092205Z         >>>     PostLocalSGDState,
2025-03-14T04:34:41.5092322Z         >>>     post_localSGD_hook,
2025-03-14T04:34:41.5092415Z         >>> )
2025-03-14T04:34:41.5092812Z         >>> import torch.distributed.algorithms.model_averaging.hierarchical_model_averager as hierarchicalSGD
2025-03-14T04:34:41.5092925Z         >>> import torch.nn as nn
2025-03-14T04:34:41.5093031Z         >>>
2025-03-14T04:34:41.5093221Z         >>> dist.init_process_group("nccl", rank=rank, world_size=16)
2025-03-14T04:34:41.5093345Z         >>> torch.cuda.set_device(rank)
2025-03-14T04:34:41.5093491Z         >>> module = nn.Linear(1, 1, bias=False).to(rank)
2025-03-14T04:34:41.5093664Z         >>> model = nn.parallel.DistributedDataParallel(
2025-03-14T04:34:41.5093817Z         >>>    module, device_ids=[rank], output_device=rank
2025-03-14T04:34:41.5093915Z         >>> )
2025-03-14T04:34:41.5094071Z         >>> # Register a post-localSGD communication hook.
2025-03-14T04:34:41.5094371Z         >>> # Assume that each machine has 4 GPUs, then each intra-machine subgroup has a size of 4.
2025-03-14T04:34:41.5094500Z         >>> subgroup, _ = dist.new_subgroups()
2025-03-14T04:34:41.5094832Z         >>> state = PostLocalSGDState(process_group=None, subgroup=subgroup, start_localSGD_iter=100)
2025-03-14T04:34:41.5095002Z         >>> model.register_comm_hook(state, post_localSGD_hook)
2025-03-14T04:34:41.5095107Z         >>>
2025-03-14T04:34:41.5095423Z         >>> # Average parameters among each group of 8 processes every 4 iterations, and among all
2025-03-14T04:34:41.5095573Z         >>> # the 16 processes every 16 iterations.
2025-03-14T04:34:41.5095768Z         >>> averager = hierarchicalSGD.HierarchicalModelAverager(
2025-03-14T04:34:41.5096025Z         >>>     period_group_size_dict=OrderedDict([(4, 8), (16, 16)]), warmup_steps=100)
2025-03-14T04:34:41.5096350Z         >>> # Note that ``warmup_steps`` must be the same as ``start_localSGD_iter`` used in ``PostLocalSGDState``.
2025-03-14T04:34:41.5096641Z         >>> # In the first 100 steps, run global gradient averaging like normal DDP at every step.
2025-03-14T04:34:41.5096806Z         >>> # After 100 steps, run model averaging at two levels.
2025-03-14T04:34:41.5096934Z         >>> for step in range(0, 200):
2025-03-14T04:34:41.5097050Z         >>>    optimizer.zero_grad()
2025-03-14T04:34:41.5097191Z         >>>    loss = loss_fn(output, labels)
2025-03-14T04:34:41.5097330Z         >>>    loss.backward()
2025-03-14T04:34:41.5097455Z         >>>    optimizer.step()
2025-03-14T04:34:41.5097615Z         >>>    # Average parameters after ``optimizer.step()``.
2025-03-14T04:34:41.5097928Z         >>>    # Thus, the inter-node communication only occurs periodically after ``warmup_steps``.
2025-03-14T04:34:41.5098122Z         >>>    averager.average_parameters(model.parameters())
2025-03-14T04:34:41.5098227Z     
2025-03-14T04:34:41.5098332Z     .. warning ::
2025-03-14T04:34:41.5098595Z         The last group size in the dict must be the size of the provided ``process_group``,
2025-03-14T04:34:41.5098851Z         which indicates model averaging at the highest level of the hierarchy.
2025-03-14T04:34:41.5099168Z         If ``process_group`` is not provided, then the last group size should be equal to the world size.
2025-03-14T04:34:41.5099271Z     
2025-03-14T04:34:41.5099371Z     .. warning ::
2025-03-14T04:34:41.5099654Z         `HierarchicalModelAverager` is experimental and subject to change.
2025-03-14T04:34:41.5099744Z     
2025-03-14T04:34:41.5100020Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5100112Z     
2025-03-14T04:34:41.5100236Z       warnings.warn(msg)
2025-03-14T04:34:41.5100326Z     
2025-03-14T04:34:41.5100545Z --- Parse Warning: 52 / 116 ---
2025-03-14T04:34:41.5101653Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=BroadcastingTorchSaveReader in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/format_utils.py line=40.
2025-03-14T04:34:41.5101944Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5102032Z     
2025-03-14T04:34:41.5102349Z     StorageReader for reading a Torch Save file. This reader will read the entire checkpoint
2025-03-14T04:34:41.5102609Z     on the coordinator rank, and then broadcast and shard each tensor to all ranks.
2025-03-14T04:34:41.5102716Z     
2025-03-14T04:34:41.5102888Z     . N.B. Intended to be used with DynamicMetaLoadPlanner
2025-03-14T04:34:41.5102989Z     
2025-03-14T04:34:41.5103086Z     .. warning::
2025-03-14T04:34:41.5103284Z         Current implementation only supports loading Tensors.
2025-03-14T04:34:41.5103371Z     
2025-03-14T04:34:41.5103512Z     >>> # xdoctest: +SKIP("undefined vars")
2025-03-14T04:34:41.5103616Z     >>> sd = {"mode": model}
2025-03-14T04:34:41.5103721Z     >>> dcp.load(
2025-03-14T04:34:41.5103816Z     >>>    sd,
2025-03-14T04:34:41.5103989Z     >>>    storage_reader=BroadcastingTorchSaveReader(),
2025-03-14T04:34:41.5104122Z     >>>    planner=DynamicMetaLoadPlanner(),
2025-03-14T04:34:41.5104257Z     >>>    checkpoint_id="path_to_model.pt"
2025-03-14T04:34:41.5104347Z     >>> )
2025-03-14T04:34:41.5104445Z     
2025-03-14T04:34:41.5104708Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5104812Z     
2025-03-14T04:34:41.5105012Z       warnings.warn(msg)
2025-03-14T04:34:41.5105116Z     
2025-03-14T04:34:41.5105307Z --- Parse Warning: 53 / 116 ---
2025-03-14T04:34:41.5106399Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DynamicMetaLoadPlanner in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/format_utils.py line=151.
2025-03-14T04:34:41.5106673Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5106777Z     
2025-03-14T04:34:41.5107158Z     Extension of DefaultLoadPlanner, which creates a new Metadata object based on the passed in state dict,
2025-03-14T04:34:41.5107510Z     avoiding the need to read metadata from disk. This is useful when reading formats which don't have a
2025-03-14T04:34:41.5107634Z     metadata file, like Torch Save files.
2025-03-14T04:34:41.5107735Z     
2025-03-14T04:34:41.5107956Z     . N.B. Intended to be used with BroadcastingTorchSaveReader
2025-03-14T04:34:41.5108058Z     
2025-03-14T04:34:41.5108157Z     .. warning::
2025-03-14T04:34:41.5108355Z         Current implementation only supports loading Tensors.
2025-03-14T04:34:41.5108441Z     
2025-03-14T04:34:41.5108580Z     >>> # xdoctest: +SKIP("undefined vars")
2025-03-14T04:34:41.5108689Z     >>> sd = {"mode": model}
2025-03-14T04:34:41.5108812Z     >>> dcp.load(
2025-03-14T04:34:41.5108919Z     >>>    sd,
2025-03-14T04:34:41.5109084Z     >>>    storage_reader=BroadcastingTorchSaveReader(),
2025-03-14T04:34:41.5109233Z     >>>    planner=DynamicMetaLoadPlanner(),
2025-03-14T04:34:41.5109360Z     >>>    checkpoint_id="path_to_model.pt"
2025-03-14T04:34:41.5109460Z     >>> )
2025-03-14T04:34:41.5109547Z     
2025-03-14T04:34:41.5109825Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5109911Z     
2025-03-14T04:34:41.5110027Z       warnings.warn(msg)
2025-03-14T04:34:41.5110143Z     
2025-03-14T04:34:41.5110349Z --- Parse Warning: 54 / 116 ---
2025-03-14T04:34:41.5111432Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load_sharded_optimizer_state_dict in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/optimizer.py line=221.
2025-03-14T04:34:41.5111720Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5111808Z     
2025-03-14T04:34:41.5112038Z     Load a state_dict in conjunction with FSDP sharded optimizer state.
2025-03-14T04:34:41.5112129Z     
2025-03-14T04:34:41.5112316Z     This is the current recommended way to checkpoint FSDP.
2025-03-14T04:34:41.5112427Z     >>> # xdoctest: +SKIP
2025-03-14T04:34:41.5112604Z     >>> import torch.distributed.checkpoint as dist_cp
2025-03-14T04:34:41.5112698Z     >>> # Save
2025-03-14T04:34:41.5112821Z     >>> model: torch.nn.Model
2025-03-14T04:34:41.5112953Z     >>> optim_params = model.parameters()
2025-03-14T04:34:41.5113122Z     >>> optim = torch.optim.SGD(optim_params, lr=0.01)
2025-03-14T04:34:41.5113214Z     >>> # Save
2025-03-14T04:34:41.5113456Z     >>> with FSDP.state_dict_type(model, StateDictType.SHARDED_STATE_DICT):
2025-03-14T04:34:41.5113560Z     >>>     state_dict = {
2025-03-14T04:34:41.5113737Z     >>>         "optimizer": FSDP.optim_state_dict(model, optim),
2025-03-14T04:34:41.5113857Z     >>>         "model": model.state_dict()
2025-03-14T04:34:41.5113959Z     >>>     }
2025-03-14T04:34:41.5114070Z     >>>     dist_cp.save_state_dict(
2025-03-14T04:34:41.5114196Z     >>>         state_dict=optim_state,
2025-03-14T04:34:41.5114385Z     >>>         storage_writer=dist_cp.FileSystemWriter("checkpoint"),
2025-03-14T04:34:41.5114538Z     >>>         planner=dist_cp.DefaultSavePlanner(),
2025-03-14T04:34:41.5114629Z     >>>     )
2025-03-14T04:34:41.5114731Z     >>>
2025-03-14T04:34:41.5114821Z     >>> # Load
2025-03-14T04:34:41.5115195Z     >>> with FSDP.state_dict_type(model_tp, StateDictType.SHARDED_STATE_DICT):
2025-03-14T04:34:41.5115354Z     >>>     model_state_dict = model_tp.state_dict()
2025-03-14T04:34:41.5115460Z     >>>     checkpoint = {
2025-03-14T04:34:41.5115587Z     >>>         "model": model_state_dict
2025-03-14T04:34:41.5115678Z     >>>     }
2025-03-14T04:34:41.5115801Z     >>>     dist_cp.load_state_dict(
2025-03-14T04:34:41.5115920Z     >>>         state_dict=checkpoint,
2025-03-14T04:34:41.5116130Z     >>>         storage_reader=dist_cp.FileSystemReader(checkpoint_file),
2025-03-14T04:34:41.5116275Z     >>>         planner=dist_cp.DefaultLoadPlanner(),
2025-03-14T04:34:41.5116379Z     >>>     )
2025-03-14T04:34:41.5116541Z     >>>     model.load_state_dict(checkpoint["model_state"])
2025-03-14T04:34:41.5116643Z     >>>
2025-03-14T04:34:41.5116825Z     >>>     optim_state = dist_cp.load_sharded_optimizer_state_dict(
2025-03-14T04:34:41.5116942Z     >>>         model_state_dict,
2025-03-14T04:34:41.5117062Z     >>>         optimizer_key="optimizer",
2025-03-14T04:34:41.5117295Z     >>>         storage_reader=dist_cp.FileSystemReader("checkpoint"),
2025-03-14T04:34:41.5117384Z     >>>     )
2025-03-14T04:34:41.5117484Z     >>>
2025-03-14T04:34:41.5117640Z     >>>     flattened_osd = FSDP.optim_state_dict_to_load(
2025-03-14T04:34:41.5117786Z     >>>        model, optim, optim_state["optimizer"]
2025-03-14T04:34:41.5117874Z     >>>     )
2025-03-14T04:34:41.5118016Z     >>>
2025-03-14T04:34:41.5118148Z     >>>     optim.load_state_dict(flattened_osd)
2025-03-14T04:34:41.5118248Z     
2025-03-14T04:34:41.5118518Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5118615Z     
2025-03-14T04:34:41.5118720Z       warnings.warn(msg)
2025-03-14T04:34:41.5118816Z     
2025-03-14T04:34:41.5119021Z --- Parse Warning: 55 / 116 ---
2025-03-14T04:34:41.5120017Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SavePlanner in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/planner.py line=113.
2025-03-14T04:34:41.5120322Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5120422Z     
2025-03-14T04:34:41.5120721Z     Abstract class defining the protocol used by save_state_dict to plan the save process.
2025-03-14T04:34:41.5120823Z     
2025-03-14T04:34:41.5121130Z     SavePlanners are stateful objects that can be used to customize the whole save process.
2025-03-14T04:34:41.5121231Z     
2025-03-14T04:34:41.5121519Z     SavePlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-03-14T04:34:41.5121654Z     will be visible to the whole process.
2025-03-14T04:34:41.5121742Z     
2025-03-14T04:34:41.5122041Z     A planner subclass can expect the following sequence of calls during save_state_dict:
2025-03-14T04:34:41.5122128Z     
2025-03-14T04:34:41.5122268Z     1) set_up_planner - called on all ranks.
2025-03-14T04:34:41.5122408Z         Signals the start of a checkpoint save.
2025-03-14T04:34:41.5122496Z     
2025-03-14T04:34:41.5122646Z     2) create_local_plan - called on all ranks.
2025-03-14T04:34:41.5122945Z         Process the state_dict and produces a `SavePlan` that will be sent for global planning.
2025-03-14T04:34:41.5123046Z     
2025-03-14T04:34:41.5123236Z     3) create_global_plan - called on the coordinator rank only.
2025-03-14T04:34:41.5123460Z         Takes the SavePlan from all ranks and make any global decision.
2025-03-14T04:34:41.5123550Z     
2025-03-14T04:34:41.5123682Z     4) finish_plan - called on all ranks.
2025-03-14T04:34:41.5123910Z         This gives each rank a chance to adjust to global planning decisions.
2025-03-14T04:34:41.5124012Z     
2025-03-14T04:34:41.5124175Z     5) resolve_data - called multiple times on each rank
2025-03-14T04:34:41.5124400Z         Lookups a value on the `state_dict` for the storage layer to write.
2025-03-14T04:34:41.5124489Z     
2025-03-14T04:34:41.5124844Z     Users are recommended to extend DefaultSavePlanner instead of this interface directly as
2025-03-14T04:34:41.5125040Z     most changes can be expressed by changes in a single method.
2025-03-14T04:34:41.5125140Z     
2025-03-14T04:34:41.5125273Z     There are 3 usual patterns of extension:
2025-03-14T04:34:41.5125372Z     
2025-03-14T04:34:41.5125637Z     Rewriting state_dict. This is the simplest way to extend the save process as it
2025-03-14T04:34:41.5125886Z     doesn't requite understanding the intrincacies of how SavePlan works:
2025-03-14T04:34:41.5125975Z     
2025-03-14T04:34:41.5126109Z     >>> # xdoctest: +SKIP("undefined vars")
2025-03-14T04:34:41.5126254Z     >>> class RenamePlanner(DefaultSavePlanner):
2025-03-14T04:34:41.5126373Z     >>>     def set_up_planner(
2025-03-14T04:34:41.5126467Z     >>>         self,
2025-03-14T04:34:41.5126599Z     >>>         state_dict: STATE_DICT_TYPE,
2025-03-14T04:34:41.5126738Z     >>>         storage_meta: Optional[StorageMeta],
2025-03-14T04:34:41.5126893Z     >>>         is_coordinator: bool,
2025-03-14T04:34:41.5126989Z     >>>     ) -> None:
2025-03-14T04:34:41.5127120Z     >>> # prefix all keys with `foo_``
2025-03-14T04:34:41.5127427Z     >>>         super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator)
2025-03-14T04:34:41.5127531Z     
2025-03-14T04:34:41.5127904Z     Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted
2025-03-14T04:34:41.5128007Z     
2025-03-14T04:34:41.5128132Z     >>> # xdoctest: +SKIP("undefined vars")
2025-03-14T04:34:41.5128285Z     >>> class FP16Planner(DefaultSavePlanner):
2025-03-14T04:34:41.5128405Z     >>>     def create_local_plan(self):
2025-03-14T04:34:41.5128551Z     >>>         plan = super().create_local_plan()
2025-03-14T04:34:41.5128659Z     >>>         for p in plan:
2025-03-14T04:34:41.5128798Z     >>>             if p.tensor_data is not None:
2025-03-14T04:34:41.5128966Z     >>>                 p.tensor_data.properties.dtype = torch.float16
2025-03-14T04:34:41.5129109Z     >>>         return plan
2025-03-14T04:34:41.5129202Z     >>>
2025-03-14T04:34:41.5129330Z     >>>     def resolve_data(self, write_item):
2025-03-14T04:34:41.5129480Z     >>>         item = super().resolve_data(write_item)
2025-03-14T04:34:41.5129765Z     >>>         return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16)
2025-03-14T04:34:41.5129870Z     
2025-03-14T04:34:41.5130225Z     Using the global planning step to make central decisions that can't be made individually by each rank
2025-03-14T04:34:41.5130328Z     
2025-03-14T04:34:41.5130453Z     >>> # xdoctest: +SKIP("undefined vars")
2025-03-14T04:34:41.5130591Z     >>> from itertools import zip_longest
2025-03-14T04:34:41.5130714Z     >>> from dataclasses import replace
2025-03-14T04:34:41.5130909Z     >>> class DDPLoadBalancingPlanner(DefaultSavePlanner):
2025-03-14T04:34:41.5131194Z     >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0
2025-03-14T04:34:41.5131356Z     >>> # This sample doesn't handle ShardedTensors
2025-03-14T04:34:41.5131498Z     >>>     def create_global_plan(self, all_plans):
2025-03-14T04:34:41.5131672Z     >>>         iters = [iter(all_plans[0].items)] * len(all_plans)
2025-03-14T04:34:41.5131780Z     >>>         items_per_rank = [
2025-03-14T04:34:41.5131942Z     >>>             [item for item in items if item is not None]
2025-03-14T04:34:41.5132112Z     >>>             for items in zip(*zip_longest(*iters), strict=True)
2025-03-14T04:34:41.5132216Z     >>>         ]
2025-03-14T04:34:41.5132320Z     >>>         all_plans = [
2025-03-14T04:34:41.5132454Z     >>>             replace(plan, items=items)
2025-03-14T04:34:41.5132655Z     >>>             for plan, items in zip(all_plans, items_per_rank, strict=True)
2025-03-14T04:34:41.5132757Z     >>>         ]
2025-03-14T04:34:41.5132906Z     >>>         return super().create_global_plan(all_plans)
2025-03-14T04:34:41.5133007Z     
2025-03-14T04:34:41.5133308Z     Finally, some planners need to save additional metadata in the checkpoint, this is
2025-03-14T04:34:41.5133603Z     accomplished by having each rank contribute their data items in the local plan and
2025-03-14T04:34:41.5133729Z     the global planner aggregate them:
2025-03-14T04:34:41.5133827Z     
2025-03-14T04:34:41.5133948Z     >>> # xdoctest: +SKIP("undefined vars")
2025-03-14T04:34:41.5134129Z     >>> class SaveExtraDataPlanner(DefaultSavePlanner):
2025-03-14T04:34:41.5134266Z     >>>     def create_local_plan(self) -> SavePlan:
2025-03-14T04:34:41.5134406Z     >>>         plan = super().create_local_plan()
2025-03-14T04:34:41.5134579Z     >>>         return replace(plan, planner_data="per-rank-data")
2025-03-14T04:34:41.5134677Z     >>>
2025-03-14T04:34:41.5134985Z     >>>     def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]:
2025-03-14T04:34:41.5135205Z     >>>         global_plan, metadata = super().create_global_plan(all_plans)
2025-03-14T04:34:41.5135407Z     >>>         merged_data = [p.planner_data for p in global_plan]
2025-03-14T04:34:41.5135598Z     >>>         metadata = replace(metadata, planner_data=merged_data)
2025-03-14T04:34:41.5135720Z     >>>         return global_plan, metadata
2025-03-14T04:34:41.5135820Z     
2025-03-14T04:34:41.5136085Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5136186Z     
2025-03-14T04:34:41.5136315Z       warnings.warn(msg)
2025-03-14T04:34:41.5136420Z     
2025-03-14T04:34:41.5136626Z --- Parse Warning: 56 / 116 ---
2025-03-14T04:34:41.5137631Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=LoadPlanner in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/planner.py line=293.
2025-03-14T04:34:41.5137905Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5138040Z     
2025-03-14T04:34:41.5138342Z     Abstract class defining the protocol used by load_state_dict to plan the load process.
2025-03-14T04:34:41.5138443Z     
2025-03-14T04:34:41.5138741Z     LoadPlanner are stateful objects that can be used to customize the whole load process.
2025-03-14T04:34:41.5138842Z     
2025-03-14T04:34:41.5139131Z     LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-03-14T04:34:41.5139268Z     will be visible to the whole process.
2025-03-14T04:34:41.5139357Z     
2025-03-14T04:34:41.5139656Z     A planner subclass can expect the following sequence of calls during load_state_dict:
2025-03-14T04:34:41.5139745Z     
2025-03-14T04:34:41.5139886Z     1) set_up_planner - called on all ranks.
2025-03-14T04:34:41.5140026Z         Signals the start of loading a checkpoint.
2025-03-14T04:34:41.5140113Z     
2025-03-14T04:34:41.5140257Z     2) create_local_plan - called on all ranks.
2025-03-14T04:34:41.5140556Z         Process the state_dict and produces a `LoadPlan` that will be sent for global planning.
2025-03-14T04:34:41.5140660Z     
2025-03-14T04:34:41.5140851Z     3) create_global_plan - called on the coordinator rank only.
2025-03-14T04:34:41.5141069Z         Takes the LoadPlan from all ranks and make any global decision.
2025-03-14T04:34:41.5141156Z     
2025-03-14T04:34:41.5141325Z     4) load_bytes - called multiple times on each rank
2025-03-14T04:34:41.5141507Z         This is called once per non-tensor value in state_dict.
2025-03-14T04:34:41.5141608Z     
2025-03-14T04:34:41.5141841Z     5) resolve_tensor and commit_tensor - called multiple times on each rank
2025-03-14T04:34:41.5142045Z         They are called in pair for each Tensor value in state_dict.
2025-03-14T04:34:41.5142134Z     
2025-03-14T04:34:41.5142463Z     Users are recommended to extend DefaultLoadPlanner instead of this interface directly as
2025-03-14T04:34:41.5142658Z     most changes can be expressed by changes in a single method.
2025-03-14T04:34:41.5142764Z     
2025-03-14T04:34:41.5142930Z     There are two usual patterns of extension:
2025-03-14T04:34:41.5143031Z     
2025-03-14T04:34:41.5143295Z     Rewriting state_dict. This is the simplest way to extend the load process as it
2025-03-14T04:34:41.5143573Z     doesn't requite understanding the intrincacies of how LoadPlan works. We need
2025-03-14T04:34:41.5143810Z     to keep a reference to the original state_dict as load happens in place so
2025-03-14T04:34:41.5143957Z     we need to be able to perform it in place
2025-03-14T04:34:41.5144046Z     
2025-03-14T04:34:41.5144182Z     >>> # xdoctest: +SKIP("undefined vars")
2025-03-14T04:34:41.5144324Z     >>> class RenamePlanner(DefaultLoadPlanner):
2025-03-14T04:34:41.5144447Z     >>>     def set_up_planner(
2025-03-14T04:34:41.5144542Z     >>>         self,
2025-03-14T04:34:41.5144674Z     >>>         state_dict: STATE_DICT_TYPE,
2025-03-14T04:34:41.5144783Z     >>>         metadata: Metadata,
2025-03-14T04:34:41.5144910Z     >>>         is_coordinator: bool,
2025-03-14T04:34:41.5145038Z     >>>     ) -> None:
2025-03-14T04:34:41.5145186Z     >>>         self.original_state_dict = state_dict
2025-03-14T04:34:41.5145369Z     >>>         state_dict = {"foo_" + k: v for k, v in state_dict.items()}
2025-03-14T04:34:41.5145474Z     >>>
2025-03-14T04:34:41.5145600Z     >>>         if self.flatten_sharded_tensors:
2025-03-14T04:34:41.5145772Z     >>>             state_dict = _flatten_sharded_tensors(state_dict)
2025-03-14T04:34:41.5145890Z     >>>
2025-03-14T04:34:41.5146022Z     >>>         if self.flatten_state_dict:
2025-03-14T04:34:41.5146216Z     >>>             state_dict, self.mappings = flatten_state_dict(state_dict)
2025-03-14T04:34:41.5146316Z     >>>
2025-03-14T04:34:41.5146436Z     >>>         self.state_dict = state_dict
2025-03-14T04:34:41.5146551Z     >>>         self.metadata = metadata
2025-03-14T04:34:41.5146696Z     >>>         self.is_coordinator = is_coordinator
2025-03-14T04:34:41.5146786Z     >>>
2025-03-14T04:34:41.5146929Z     >>>     def load_bytes(self, read_item, value):
2025-03-14T04:34:41.5147070Z     >>> # Remove the "foo_" prefix
2025-03-14T04:34:41.5147410Z     >>>         self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False)
2025-03-14T04:34:41.5147500Z     
2025-03-14T04:34:41.5147599Z     
2025-03-14T04:34:41.5147871Z     Modifying resolve_tensor and commit_tensor to handle load time transformation.
2025-03-14T04:34:41.5147969Z     
2025-03-14T04:34:41.5148096Z     >>> # xdoctest: +SKIP("undefined vars")
2025-03-14T04:34:41.5148272Z     >>> class MetaModelMaterialize(DefaultSavePlanner):
2025-03-14T04:34:41.5148399Z     >>>     def resolve_tensor(self, read_item):
2025-03-14T04:34:41.5148551Z     >>>         tensor = super().resolve_tensor(read_item)
2025-03-14T04:34:41.5148708Z     >>>         return torch.empty_like(tensor, device="cpu")
2025-03-14T04:34:41.5148809Z     >>>
2025-03-14T04:34:41.5148951Z     >>>     def commit_tensor(self, read_item, tensor):
2025-03-14T04:34:41.5149127Z     >>>         self.state_dict[read_item.dest_index.fqn] = tensor
2025-03-14T04:34:41.5149220Z     
2025-03-14T04:34:41.5149495Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5149585Z     
2025-03-14T04:34:41.5149702Z       warnings.warn(msg)
2025-03-14T04:34:41.5149790Z     
2025-03-14T04:34:41.5150003Z --- Parse Warning: 57 / 116 ---
2025-03-14T04:34:41.5151010Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=get_state_dict in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/state_dict.py line=1124.
2025-03-14T04:34:41.5151296Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5151388Z     
2025-03-14T04:34:41.5151573Z     Return the model state_dict and optimizers state_dict.
2025-03-14T04:34:41.5151662Z     
2025-03-14T04:34:41.5151907Z     ``get_state_dict`` can process any module that is parallelized by PyTorch
2025-03-14T04:34:41.5152207Z     FSDP/fully_shard, DDP/replicate, tensor_parallel/parallelize_module, and any
2025-03-14T04:34:41.5152483Z     combination of these parallelisms. The main functions of ``get_state_dict``
2025-03-14T04:34:41.5152710Z     are: 1.) returning a model and optimizer state_dict that can be resharded
2025-03-14T04:34:41.5152942Z     with a different number of trainers and/or different parallelisms.
2025-03-14T04:34:41.5153204Z     2.) hiding the parallelism-specific state_dict APIs. Users don't have to call
2025-03-14T04:34:41.5153316Z     these APIs.
2025-03-14T04:34:41.5153449Z     3.) sanity checking the result state_dict.
2025-03-14T04:34:41.5153550Z     
2025-03-14T04:34:41.5153771Z     The keys of the result state dictionary are the canonical FQNs (Fully
2025-03-14T04:34:41.5154030Z     Qualified Names).  A canonical FQN refers to the FQN based on a parameter's
2025-03-14T04:34:41.5154277Z     position in an nn.Module hierarchy. More specifically, a canonical FQN to a
2025-03-14T04:34:41.5154548Z     parameter is the FQN returned by ``module.named_parameters()`` or
2025-03-14T04:34:41.5154766Z     ``module.named_buffers()`` when the module is not distributed by any
2025-03-14T04:34:41.5155041Z     parallelisms. Since the optimizer internally uses parameter IDs to represent
2025-03-14T04:34:41.5155352Z     a parameter, there will be a conversion from the parameter IDs to the
2025-03-14T04:34:41.5155524Z     canonical FQNs when calling this API.
2025-03-14T04:34:41.5155615Z     
2025-03-14T04:34:41.5155859Z     ``get_state_dict`` can also process a module that is not parallelized. In
2025-03-14T04:34:41.5156091Z     such a case, ``get_state_dict`` only performs one function -- converting the
2025-03-14T04:34:41.5156254Z     optimizer parameter IDs to the canonical FQNs.
2025-03-14T04:34:41.5156343Z     
2025-03-14T04:34:41.5156450Z     Example:
2025-03-14T04:34:41.5156565Z         >>> # xdoctest: +SKIP
2025-03-14T04:34:41.5156682Z         >>> import torch
2025-03-14T04:34:41.5156961Z         >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-03-14T04:34:41.5157187Z         >>> from torch.nn.parallel import DistributedDataParallel as DDP
2025-03-14T04:34:41.5157423Z         >>> from torch.distributed.checkpoint.state_dict import get_state_dict
2025-03-14T04:34:41.5157527Z     
2025-03-14T04:34:41.5157668Z         >>> fsdp_model = FSDP(copy.deepcopy(model))
2025-03-14T04:34:41.5157881Z         >>> fsdp_optim = torch.optim.Adam(model.parameters(), lr=1e-3)
2025-03-14T04:34:41.5158015Z         >>> ddp_model = DDP(copy.deepcopy(model))
2025-03-14T04:34:41.5158219Z         >>> ddp_optim = torch.optim.Adam(model.parameters(), lr=1e-3)
2025-03-14T04:34:41.5158310Z     
2025-03-14T04:34:41.5158400Z     
2025-03-14T04:34:41.5158659Z         >>> ddp_state_dict, ddp_optim_state_dict = get_state_dict(ddp_model, ddp_optim)
2025-03-14T04:34:41.5158842Z         >>> fsdp_state_dict, fsdp_optim_state_dict = get_state_dict(
2025-03-14T04:34:41.5158975Z         ...     fsdp_model, fsdp_optim
2025-03-14T04:34:41.5159072Z         ... )
2025-03-14T04:34:41.5159176Z     
2025-03-14T04:34:41.5159401Z         >>> # if we simply call ddp_model.state_dict() and fsdp_model.state_dict(),
2025-03-14T04:34:41.5159530Z         >>> # the asserts will fail.
2025-03-14T04:34:41.5159671Z         >>> assert ddp_state_dict == fsdp_state_dict
2025-03-14T04:34:41.5159849Z         >>> assert ddp_optim_state == fsdp_optim_state_dict
2025-03-14T04:34:41.5159940Z     
2025-03-14T04:34:41.5160045Z     
2025-03-14T04:34:41.5160139Z     Args:
2025-03-14T04:34:41.5160307Z         model (nn.Module): the nn.Module to the model.
2025-03-14T04:34:41.5160507Z         optimizers (Union[None, Optimizer, Iterable[Optimizer]]):
2025-03-14T04:34:41.5160690Z             The optimizers that are used to optimize ``model``.
2025-03-14T04:34:41.5160978Z         submodules (deprecated): Optional[set[nn.Module]]: only return the model parameters
2025-03-14T04:34:41.5161118Z             that belong to the submodules.
2025-03-14T04:34:41.5161334Z         options (StateDictOptions): the options to control how
2025-03-14T04:34:41.5161568Z             model state_dict and optimizer state_dict should be returned. See
2025-03-14T04:34:41.5161701Z             `StateDictOptions` for the details.
2025-03-14T04:34:41.5161801Z     
2025-03-14T04:34:41.5161893Z     Returns:
2025-03-14T04:34:41.5162116Z         ``Tuple`` that contain model state_dict and optimizer state_dict.
2025-03-14T04:34:41.5162205Z     
2025-03-14T04:34:41.5162457Z     :rtype: typing.Tuple[typing.Dict[str, ValueType], OptimizerStateType]
2025-03-14T04:34:41.5162546Z     
2025-03-14T04:34:41.5162821Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5162913Z     
2025-03-14T04:34:41.5163035Z       warnings.warn(msg)
2025-03-14T04:34:41.5163123Z     
2025-03-14T04:34:41.5163346Z --- Parse Warning: 58 / 116 ---
2025-03-14T04:34:41.5164345Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/state_dict_loader.py line=62.
2025-03-14T04:34:41.5164665Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5164755Z     
2025-03-14T04:34:41.5164974Z     Load a checkpoint into a distributed state dict in SPMD style.
2025-03-14T04:34:41.5165087Z     
2025-03-14T04:34:41.5165332Z     Each rank must have the same keys in their ``state_dict`` provided to this
2025-03-14T04:34:41.5165574Z     API. Mismatched keys may result in hangs or errors. If unsure, you can use
2025-03-14T04:34:41.5165815Z     the ``utils._assert_same_keys`` API to check (but may incur communication
2025-03-14T04:34:41.5165907Z     costs).
2025-03-14T04:34:41.5166009Z     
2025-03-14T04:34:41.5166200Z     Each rank will try to read the least amount of data necessary
2025-03-14T04:34:41.5166456Z     to fulfill the requested `state_dict`. When loading :class:`ShardedTensor`
2025-03-14T04:34:41.5166742Z     or :class:`DTensor` instances, each rank only reads data for their local shards.
2025-03-14T04:34:41.5166842Z     
2025-03-14T04:34:41.5167454Z     For each ``Stateful`` object (having both a ``state_dict`` and a ``load_state_dict``),
2025-03-14T04:34:41.5167739Z     load will first call ``state_dict`` before attempting deserialization, followed by
2025-03-14T04:34:41.5167921Z     ``load_state_dict`` once the deserialization is complete.
2025-03-14T04:34:41.5168204Z     For each non-``Stateful`` object, load will deserailize the object, and then replace
2025-03-14T04:34:41.5168365Z     it in the ``state_dict`` with the deserialized object.
2025-03-14T04:34:41.5168468Z     
2025-03-14T04:34:41.5168573Z     .. warning::
2025-03-14T04:34:41.5168749Z         All tensors in ``state_dict`` must be allocated on their
2025-03-14T04:34:41.5168935Z         destination device *prior to* calling this function.
2025-03-14T04:34:41.5169027Z     
2025-03-14T04:34:41.5169282Z         All non-tensor data is loaded using `torch.load()` and modified in place
2025-03-14T04:34:41.5169383Z         on state_dict.
2025-03-14T04:34:41.5169483Z     
2025-03-14T04:34:41.5169580Z     .. warning::
2025-03-14T04:34:41.5169807Z         Users must call `load_state_dict` on the root module to ensure load
2025-03-14T04:34:41.5170000Z         pos-processing and non-tensor data properly propagates.
2025-03-14T04:34:41.5170101Z     
2025-03-14T04:34:41.5170192Z     .. note:
2025-03-14T04:34:41.5170440Z         If no process group is initialized, this function will assume the intent
2025-03-14T04:34:41.5170671Z         is to load a checkpoint into the local process. This can be useful in the
2025-03-14T04:34:41.5170943Z         case of local inference, and when using regular Tensors (as opposed to DTensor
2025-03-14T04:34:41.5171052Z          or ShardedTensor)
2025-03-14T04:34:41.5171153Z     
2025-03-14T04:34:41.5171246Z     .. note:
2025-03-14T04:34:41.5171406Z         Rank 0 is assumed to be the coordinator rank.
2025-03-14T04:34:41.5171584Z     
2025-03-14T04:34:41.5171694Z     Args:
2025-03-14T04:34:41.5171918Z         state_dict (Dict[str, Any]): The state_dict to load the checkpoint into.
2025-03-14T04:34:41.5172090Z         checkpoint_id (Union[str, os.PathLike, None]):
2025-03-14T04:34:41.5172311Z             The ID of this checkpoint instance. The meaning of the checkpoint_id
2025-03-14T04:34:41.5172540Z             depends on the storage. It can be a path to a folder or to a file.
2025-03-14T04:34:41.5172716Z             It can also be a key if the storage is a key-value store.
2025-03-14T04:34:41.5172838Z             (Default: ``None``)
2025-03-14T04:34:41.5172980Z         storage_reader (Optional[StorageReader]):
2025-03-14T04:34:41.5173210Z             Instance of StorageWriter used to perform reads. If this is not
2025-03-14T04:34:41.5173425Z             specified, DCP will automatically infer the reader based on the
2025-03-14T04:34:41.5173651Z             checkpoint_id. If checkpoint_id is also None, an exception will
2025-03-14T04:34:41.5173813Z             be raised. (Default: ``None``)
2025-03-14T04:34:41.5173951Z         planner (Optional[LoadPlanner]):
2025-03-14T04:34:41.5174163Z             Instance of LoadPlanner. If this is not specificed, the default
2025-03-14T04:34:41.5174314Z             planner will be used. (Default: ``None``)
2025-03-14T04:34:41.5174487Z         process_group (Optional[ProcessGroup]):
2025-03-14T04:34:41.5174692Z             ProcessGroup to be used for cross-rank synchronization.
2025-03-14T04:34:41.5174798Z             (Default: ``None``)
2025-03-14T04:34:41.5175038Z         no_dist (bool): If ``True``, this function will assume the intent is to load
2025-03-14T04:34:41.5175302Z             a checkpoint without using cross-rank synchronization. (Default: ``False``)
2025-03-14T04:34:41.5175408Z     Returns:
2025-03-14T04:34:41.5175500Z         None.
2025-03-14T04:34:41.5175600Z     
2025-03-14T04:34:41.5175694Z     Examples
2025-03-14T04:34:41.5175847Z         >>> # xdoctest: +SKIP
2025-03-14T04:34:41.5175958Z         >>> my_model = MyModule()
2025-03-14T04:34:41.5176106Z         >>> optimizer = Adagrad(my_model.parameters())
2025-03-14T04:34:41.5176255Z         >>> model_state_dict = my_model.state_dict()
2025-03-14T04:34:41.5176498Z         >>> fs_storage_reader = torch.distributed.checkpoint.FileSystemReader(
2025-03-14T04:34:41.5176619Z         ...     "/checkpoint/1"
2025-03-14T04:34:41.5176712Z         ... )
2025-03-14T04:34:41.5176813Z     
2025-03-14T04:34:41.5176978Z         >>> torch.distributed.checkpoint.load_state_dict(
2025-03-14T04:34:41.5177111Z         >>>     state_dict=model_state_dict,
2025-03-14T04:34:41.5177238Z         >>>     storage_reader=fs_storage_reader,
2025-03-14T04:34:41.5177338Z         >>> )
2025-03-14T04:34:41.5177425Z     
2025-03-14T04:34:41.5177642Z         >>> # module.load_state_dict() function might have customized steps
2025-03-14T04:34:41.5177778Z         >>> # to flush the state_dict, must call it to
2025-03-14T04:34:41.5177910Z         >>> # ensure correct behavior.
2025-03-14T04:34:41.5178048Z         >>> my_model.load_state_dict(model_state_dict)
2025-03-14T04:34:41.5178149Z     
2025-03-14T04:34:41.5178245Z     .. note::
2025-03-14T04:34:41.5178475Z         load_state_dict uses collectives to coordinate reads across ranks.
2025-03-14T04:34:41.5178695Z         For NCCL-based process groups, internal tensor representations of
2025-03-14T04:34:41.5178946Z         objects must be moved to the GPU device before communication takes place.
2025-03-14T04:34:41.5179174Z         In this case, the device used is given by ``torch.cuda.current_device()``
2025-03-14T04:34:41.5179422Z         and it is the user's responsibility to ensure that this is set so that each
2025-03-14T04:34:41.5179615Z         rank has an individual GPU, via ``torch.cuda.set_device()``.
2025-03-14T04:34:41.5179715Z     
2025-03-14T04:34:41.5179977Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5180082Z     
2025-03-14T04:34:41.5180213Z       warnings.warn(msg)
2025-03-14T04:34:41.5180314Z     
2025-03-14T04:34:41.5180540Z --- Parse Warning: 59 / 116 ---
2025-03-14T04:34:41.5181545Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=save in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/state_dict_saver.py line=85.
2025-03-14T04:34:41.5181817Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5181920Z     
2025-03-14T04:34:41.5182051Z     Save a distributed model in SPMD style.
2025-03-14T04:34:41.5182150Z     
2025-03-14T04:34:41.5182351Z     This function is different from ``torch.save()`` as it handles
2025-03-14T04:34:41.5182631Z     ``ShardedTensor`` , and ``DTensor`` by having each rank only save their local shards.
2025-03-14T04:34:41.5182719Z     
2025-03-14T04:34:41.5183001Z     For each ``Stateful`` object (having both a ``state_dict`` and a ``load_state_dict``),
2025-03-14T04:34:41.5183193Z     save will call ``state_dict`` before serialization.
2025-03-14T04:34:41.5183293Z     
2025-03-14T04:34:41.5183391Z     .. warning::
2025-03-14T04:34:41.5183655Z         There is no guarantees of Backwards Compatibility across PyTorch versions
2025-03-14T04:34:41.5183764Z         for saved state_dicts.
2025-03-14T04:34:41.5183866Z     
2025-03-14T04:34:41.5183991Z     .. warning::
2025-03-14T04:34:41.5184227Z         If using the `process_group` argument, make sure that only its ranks
2025-03-14T04:34:41.5184441Z         call `save_state_dict` and that all data in state_dict belong to it.
2025-03-14T04:34:41.5184543Z     
2025-03-14T04:34:41.5184638Z     .. note::
2025-03-14T04:34:41.5184919Z         When saving checkpoint for FSDP's `ShardingStrategy.HYBRID_SHARD`, only one of
2025-03-14T04:34:41.5185189Z         the shard_group should be calling `save_state_dict` and the corresponding process
2025-03-14T04:34:41.5185350Z         group needs to be passed in.
2025-03-14T04:34:41.5185439Z     
2025-03-14T04:34:41.5185533Z     .. note::
2025-03-14T04:34:41.5185824Z         If no process group is available, this function assumes the intention is to save the
2025-03-14T04:34:41.5185947Z          state_dict in the local process.
2025-03-14T04:34:41.5186048Z     
2025-03-14T04:34:41.5186139Z     .. note:
2025-03-14T04:34:41.5186301Z         Rank 0 is assumed to be the coordinator rank.
2025-03-14T04:34:41.5186391Z     
2025-03-14T04:34:41.5186491Z     
2025-03-14T04:34:41.5186581Z     Args:
2025-03-14T04:34:41.5186758Z         state_dict (Dict[str, Any]): The state_dict to save.
2025-03-14T04:34:41.5186912Z         checkpoint_id (Union[str, os.PathLike, None]):
2025-03-14T04:34:41.5187147Z             The ID of this checkpoint instance. The meaning of the checkpoint_id
2025-03-14T04:34:41.5187361Z             depends on the storage. It can be a path to a folder or to a file.
2025-03-14T04:34:41.5187552Z             It can also be a key if the storage is a key-value store.
2025-03-14T04:34:41.5187665Z             (Default: ``None``)
2025-03-14T04:34:41.5187820Z         storage_writer (Optional[StorageWriter]):
2025-03-14T04:34:41.5188041Z             Instance of StorageWriter used to perform writes. If this is not
2025-03-14T04:34:41.5188269Z             specified, DCP will automatically infer the writer based on the
2025-03-14T04:34:41.5188485Z             checkpoint_id. If checkpoint_id is also None, an exception will
2025-03-14T04:34:41.5188618Z             be raised. (Default: ``None``)
2025-03-14T04:34:41.5188746Z         planner (Optional[SavePlanner]):
2025-03-14T04:34:41.5188973Z             Instance of SavePlanner. If this is not specificed, the default
2025-03-14T04:34:41.5189111Z             planner will be used. (Default: ``None``)
2025-03-14T04:34:41.5189264Z         process_group (Optional[ProcessGroup]):
2025-03-14T04:34:41.5189458Z             ProcessGroup to be used for cross-rank synchronization.
2025-03-14T04:34:41.5189583Z             (Default: ``None``)
2025-03-14T04:34:41.5189731Z         no_dist (bool):
2025-03-14T04:34:41.5189926Z             If ``True``, this function will assume the intent is to load
2025-03-14T04:34:41.5190110Z             a checkpoint without using cross-rank synchronization.
2025-03-14T04:34:41.5190234Z             (Default: ``False``)
2025-03-14T04:34:41.5190326Z     
2025-03-14T04:34:41.5190434Z     Returns:
2025-03-14T04:34:41.5190608Z         Metadata: Metadata object for the saved checkpoint.
2025-03-14T04:34:41.5190714Z     
2025-03-14T04:34:41.5190808Z     Example:
2025-03-14T04:34:41.5190931Z         >>> # xdoctest: +SKIP
2025-03-14T04:34:41.5191041Z         >>> my_model = MyModule()
2025-03-14T04:34:41.5191143Z     
2025-03-14T04:34:41.5191266Z         >>> state_dict = {"model": my_model}
2025-03-14T04:34:41.5191354Z     
2025-03-14T04:34:41.5191609Z         >>> fs_storage_writer = torch.distributed.checkpoint.FileSystemWriter(
2025-03-14T04:34:41.5191718Z         ...     "/checkpoint/1"
2025-03-14T04:34:41.5191846Z         ... )
2025-03-14T04:34:41.5191990Z         >>> torch.distributed.checkpoint.save(
2025-03-14T04:34:41.5192118Z         >>>     state_dict=state_dict,
2025-03-14T04:34:41.5192245Z         >>>     storage_writer=fs_storage_writer,
2025-03-14T04:34:41.5192347Z         >>> )
2025-03-14T04:34:41.5192434Z     
2025-03-14T04:34:41.5192539Z     .. note::
2025-03-14T04:34:41.5192791Z         save_state_dict uses collectives to coordinate writes across ranks.
2025-03-14T04:34:41.5193029Z         For NCCL-based process groups, internal tensor representations of
2025-03-14T04:34:41.5193267Z         objects must be moved to the GPU device before communication takes place.
2025-03-14T04:34:41.5193513Z         In this case, the device used is given by ``torch.cuda.current_device()``
2025-03-14T04:34:41.5193728Z         and it is the user's responsibility to ensure that this is set so that
2025-03-14T04:34:41.5193943Z         each rank has an individual GPU, via ``torch.cuda.set_device()``.
2025-03-14T04:34:41.5194059Z     
2025-03-14T04:34:41.5194334Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5194422Z     
2025-03-14T04:34:41.5194539Z       warnings.warn(msg)
2025-03-14T04:34:41.5194627Z     
2025-03-14T04:34:41.5194843Z --- Parse Warning: 60 / 116 ---
2025-03-14T04:34:41.5195946Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=async_save in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/state_dict_saver.py line=195.
2025-03-14T04:34:41.5196235Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5196508Z     Asynchronous version of ``save``. This code first de-stages the state_dict on to the
2025-03-14T04:34:41.5196820Z         staging storage (defaults to CPU memory), and then calls the `save` in a separate thread.
2025-03-14T04:34:41.5196910Z     
2025-03-14T04:34:41.5197027Z         .. warning::
2025-03-14T04:34:41.5197201Z             This feature is experimental and subject to change.
2025-03-14T04:34:41.5197304Z     
2025-03-14T04:34:41.5197396Z         Args:
2025-03-14T04:34:41.5197572Z             state_dict (Dict[str, Any]): The state_dict to save.
2025-03-14T04:34:41.5197732Z             checkpoint_id (Union[str, os.PathLike, None]):
2025-03-14T04:34:41.5197971Z                 The ID of this checkpoint instance. The meaning of the checkpoint_id
2025-03-14T04:34:41.5198184Z                 depends on the storage. It can be a path to a folder or to a file.
2025-03-14T04:34:41.5198374Z                 It can also be a key if the storage is a key-value store.
2025-03-14T04:34:41.5198483Z                 (Default: ``None``)
2025-03-14T04:34:41.5198639Z             storage_writer (Optional[StorageWriter]):
2025-03-14T04:34:41.5198864Z                 Instance of StorageWriter used to perform 'stage' and  'save'. If
2025-03-14T04:34:41.5199158Z                 this is not specified, DCP will automatically infer the writer based on the
2025-03-14T04:34:41.5199376Z                 checkpoint_id. If checkpoint_id is also None, an exception will
2025-03-14T04:34:41.5199508Z                 be raised. (Default: ``None``)
2025-03-14T04:34:41.5199637Z             planner (Optional[SavePlanner]):
2025-03-14T04:34:41.5199862Z                 Instance of SavePlanner. If this is not specificed, the default
2025-03-14T04:34:41.5200003Z                 planner will be used. (Default: ``None``)
2025-03-14T04:34:41.5200157Z             process_group (Optional[ProcessGroup]):
2025-03-14T04:34:41.5200352Z                 ProcessGroup to be used for cross-rank synchronization.
2025-03-14T04:34:41.5200470Z                 (Default: ``None``)
2025-03-14T04:34:41.5200562Z     
2025-03-14T04:34:41.5200669Z         Returns:
2025-03-14T04:34:41.5200893Z             Future: A future holding the resultant Metadata object from `save`.
2025-03-14T04:34:41.5200995Z     
2025-03-14T04:34:41.5201121Z         Example:
2025-03-14T04:34:41.5201244Z             >>> # xdoctest: +SKIP
2025-03-14T04:34:41.5201356Z             >>> my_model = MyModule()
2025-03-14T04:34:41.5201456Z     
2025-03-14T04:34:41.5201580Z             >>> state_dict = {"model": my_model}
2025-03-14T04:34:41.5201669Z     
2025-03-14T04:34:41.5201928Z             >>> fs_storage_writer = torch.distributed.checkpoint.FileSystemWriter(
2025-03-14T04:34:41.5202068Z             ...     "/checkpoint/1"
2025-03-14T04:34:41.5202174Z             ... )
2025-03-14T04:34:41.5202396Z             >>> checkpoint_future = torch.distributed.checkpoint.async_save(
2025-03-14T04:34:41.5202527Z             >>>     state_dict=state_dict,
2025-03-14T04:34:41.5202661Z             >>>     storage_writer=fs_storage_writer,
2025-03-14T04:34:41.5202770Z             >>> )
2025-03-14T04:34:41.5202861Z             >>>
2025-03-14T04:34:41.5202984Z             >>> # ... do some work ...
2025-03-14T04:34:41.5203077Z             >>>
2025-03-14T04:34:41.5203243Z             >>> checkpoint_future.result()
2025-03-14T04:34:41.5203335Z     
2025-03-14T04:34:41.5203441Z         
2025-03-14T04:34:41.5203707Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5203807Z     
2025-03-14T04:34:41.5203912Z       warnings.warn(msg)
2025-03-14T04:34:41.5204015Z     
2025-03-14T04:34:41.5204224Z --- Parse Warning: 61 / 116 ---
2025-03-14T04:34:41.5205321Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=construct_and_record_rdzv_event in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/elastic/events/__init__.py line=94.
2025-03-14T04:34:41.5205595Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5205699Z     
2025-03-14T04:34:41.5205914Z     Initialize rendezvous event object and record its operations.
2025-03-14T04:34:41.5206017Z     
2025-03-14T04:34:41.5206111Z     Args:
2025-03-14T04:34:41.5206263Z         run_id (str): The run id of the rendezvous.
2025-03-14T04:34:41.5206421Z         message (str): The message describing the event.
2025-03-14T04:34:41.5206698Z         node_state (NodeState): The state of the node (INIT, RUNNING, SUCCEEDED, FAILED).
2025-03-14T04:34:41.5206891Z         name (str): Event name. (E.g. Current action being performed).
2025-03-14T04:34:41.5207032Z         hostname (str): Hostname of the node.
2025-03-14T04:34:41.5207184Z         pid (Optional[int]): The process id of the node.
2025-03-14T04:34:41.5207450Z         master_endpoint (str): The master endpoint for the rendezvous store, if known.
2025-03-14T04:34:41.5207729Z         local_id (Optional[int]):  The local_id of the node, if defined in dynamic_rendezvous.py
2025-03-14T04:34:41.5207911Z         rank (Optional[int]): The rank of the node, if known.
2025-03-14T04:34:41.5208005Z     Returns:
2025-03-14T04:34:41.5208109Z         None
2025-03-14T04:34:41.5208202Z     Example:
2025-03-14T04:34:41.5208378Z         >>> # See DynamicRendezvousHandler class
2025-03-14T04:34:41.5208479Z         >>> def _record(
2025-03-14T04:34:41.5208584Z         ...     self,
2025-03-14T04:34:41.5208686Z         ...     message: str,
2025-03-14T04:34:41.5208845Z         ...     node_state: NodeState = NodeState.RUNNING,
2025-03-14T04:34:41.5208964Z         ...     rank: Optional[int] = None,
2025-03-14T04:34:41.5209072Z         ... ) -> None:
2025-03-14T04:34:41.5209202Z         ...     construct_and_record_rdzv_event(
2025-03-14T04:34:41.5209375Z         ...         name=f"{self.__class__.__name__}.{get_method_name()}",
2025-03-14T04:34:41.5209513Z         ...         run_id=self._settings.run_id,
2025-03-14T04:34:41.5209622Z         ...         message=message,
2025-03-14T04:34:41.5209748Z         ...         node_state=node_state,
2025-03-14T04:34:41.5209875Z         ...         hostname=self._this_node.addr,
2025-03-14T04:34:41.5210004Z         ...         pid=self._this_node.pid,
2025-03-14T04:34:41.5210166Z         ...         local_id=self._this_node.local_id,
2025-03-14T04:34:41.5210280Z         ...         rank=rank,
2025-03-14T04:34:41.5210371Z         ...     )
2025-03-14T04:34:41.5210474Z     
2025-03-14T04:34:41.5210738Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5210839Z     
2025-03-14T04:34:41.5210944Z       warnings.warn(msg)
2025-03-14T04:34:41.5211045Z     
2025-03-14T04:34:41.5211285Z --- Parse Warning: 62 / 116 ---
2025-03-14T04:34:41.5212248Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=MixedPrecision in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/api.py line=114.
2025-03-14T04:34:41.5212521Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5212622Z     
2025-03-14T04:34:41.5212799Z     This configures FSDP-native mixed precision training.
2025-03-14T04:34:41.5212934Z     
2025-03-14T04:34:41.5213035Z     Attributes:
2025-03-14T04:34:41.5213299Z         param_dtype (Optional[torch.dtype]): This specifies the dtype for model
2025-03-14T04:34:41.5213511Z             parameters during forward and backward and thus the dtype for
2025-03-14T04:34:41.5213755Z             forward and backward computation. Outside forward and backward, the
2025-03-14T04:34:41.5213960Z             *sharded* parameters are kept in full precision (e.g. for the
2025-03-14T04:34:41.5214191Z             optimizer step), and for model checkpointing, the parameters are
2025-03-14T04:34:41.5214359Z             always saved in full precision. (Default: ``None``)
2025-03-14T04:34:41.5214594Z         reduce_dtype (Optional[torch.dtype]): This specifies the dtype for
2025-03-14T04:34:41.5214819Z             gradient reduction (i.e. reduce-scatter or all-reduce). If this is
2025-03-14T04:34:41.5215018Z             ``None`` but ``param_dtype`` is not ``None``, then this takes on
2025-03-14T04:34:41.5215235Z             the ``param_dtype`` value, still running gradient reduction in low
2025-03-14T04:34:41.5215467Z             precision. This is permitted to differ from ``param_dtype``, e.g.
2025-03-14T04:34:41.5215676Z             to force gradient reduction to run in full precision. (Default:
2025-03-14T04:34:41.5215785Z             ``None``)
2025-03-14T04:34:41.5216007Z         buffer_dtype (Optional[torch.dtype]): This specifies the dtype for
2025-03-14T04:34:41.5216231Z             buffers. FSDP does not shard buffers. Rather, FSDP casts them to
2025-03-14T04:34:41.5216438Z             ``buffer_dtype`` in the first forward pass and keeps them in that
2025-03-14T04:34:41.5216671Z             dtype thereafter. For model checkpointing, the buffers are saved
2025-03-14T04:34:41.5216861Z             in full precision except for ``LOCAL_STATE_DICT``. (Default:
2025-03-14T04:34:41.5216977Z             ``None``)
2025-03-14T04:34:41.5217183Z         keep_low_precision_grads (bool): If ``False``, then FSDP upcasts
2025-03-14T04:34:41.5217461Z             gradients to full precision after the backward pass in preparation
2025-03-14T04:34:41.5217677Z             for the optimizer step. If ``True``, then FSDP keeps the gradients
2025-03-14T04:34:41.5217900Z             in the dtype used for gradient reduction, which can save memory if
2025-03-14T04:34:41.5218118Z             using a custom optimizer that supports running in low precision.
2025-03-14T04:34:41.5218242Z             (Default: ``False``)
2025-03-14T04:34:41.5218465Z         cast_forward_inputs (bool): If ``True``, then this FSDP module casts
2025-03-14T04:34:41.5218694Z             its forward args and kwargs to ``param_dtype``. This is to ensure
2025-03-14T04:34:41.5218919Z             that parameter and input dtypes match for forward computation, as
2025-03-14T04:34:41.5219148Z             required by many ops. This may need to be set to ``True`` when only
2025-03-14T04:34:41.5219377Z             applying mixed precision to some but not all FSDP modules, in which
2025-03-14T04:34:41.5219641Z             case a mixed-precision FSDP submodule needs to recast its inputs.
2025-03-14T04:34:41.5219752Z             (Default: ``False``)
2025-03-14T04:34:41.5219995Z         cast_root_forward_inputs (bool): If ``True``, then the root FSDP module
2025-03-14T04:34:41.5220204Z             casts its forward args and kwargs to ``param_dtype``, overriding
2025-03-14T04:34:41.5220442Z             the value of ``cast_forward_inputs``. For non-root FSDP modules,
2025-03-14T04:34:41.5220594Z             this does not do anything. (Default: ``True``)
2025-03-14T04:34:41.5220835Z         _module_classes_to_ignore: (Sequence[Type[nn.Module]]): This specifies
2025-03-14T04:34:41.5221028Z             module classes to ignore for mixed precision when using an
2025-03-14T04:34:41.5221234Z             ``auto_wrap_policy``: Modules of these classes will have FSDP
2025-03-14T04:34:41.5221455Z             applied to them separately with mixed precision disabled (meaning
2025-03-14T04:34:41.5221729Z             that the final FSDP construction would deviate from the specified
2025-03-14T04:34:41.5221930Z             policy). If ``auto_wrap_policy`` is not specified, then this does
2025-03-14T04:34:41.5222154Z             not do anything. This API is experimental and subject to change.
2025-03-14T04:34:41.5222273Z             (Default: ``(_BatchNorm,)``)
2025-03-14T04:34:41.5222379Z     
2025-03-14T04:34:41.5222561Z     .. note:: This API is experimental and subject to change.
2025-03-14T04:34:41.5222666Z     
2025-03-14T04:34:41.5222901Z     .. note:: Only floating point tensors are cast to their specified dtypes.
2025-03-14T04:34:41.5223004Z     
2025-03-14T04:34:41.5223194Z     .. note:: In ``summon_full_params``, parameters are forced to full
2025-03-14T04:34:41.5223325Z         precision, but buffers are not.
2025-03-14T04:34:41.5223413Z     
2025-03-14T04:34:41.5223637Z     .. note:: Layer norm and batch norm accumulate in ``float32`` even when
2025-03-14T04:34:41.5223858Z         their inputs are in a low precision like ``float16`` or ``bfloat16``.
2025-03-14T04:34:41.5224112Z         Disabling FSDP's mixed precision for those norm modules only means that
2025-03-14T04:34:41.5224333Z         the affine parameters are kept in ``float32``. However, this incurs
2025-03-14T04:34:41.5224593Z         separate all-gathers and reduce-scatters for those norm modules, which
2025-03-14T04:34:41.5224821Z         may be inefficient, so if the workload permits, the user should prefer
2025-03-14T04:34:41.5224990Z         to still apply mixed precision to those modules.
2025-03-14T04:34:41.5225078Z     
2025-03-14T04:34:41.5225302Z     .. note:: By default, if the user passes a model with any ``_BatchNorm``
2025-03-14T04:34:41.5225516Z         modules and specifies an ``auto_wrap_policy``, then the batch norm
2025-03-14T04:34:41.5225763Z         modules will have FSDP applied to them separately with mixed precision
2025-03-14T04:34:41.5225947Z         disabled. See the ``_module_classes_to_ignore`` argument.
2025-03-14T04:34:41.5226049Z     
2025-03-14T04:34:41.5226290Z     .. note:: ``MixedPrecision`` has ``cast_root_forward_inputs=True`` and
2025-03-14T04:34:41.5226529Z         ``cast_forward_inputs=False`` by default. For the root FSDP instance,
2025-03-14T04:34:41.5226711Z         its ``cast_root_forward_inputs`` takes precedence over its
2025-03-14T04:34:41.5226911Z         ``cast_forward_inputs``. For non-root FSDP instances, their
2025-03-14T04:34:41.5227137Z         ``cast_root_forward_inputs`` values are ignored. The default setting is
2025-03-14T04:34:41.5227380Z         sufficient for the typical case where each FSDP instance has the same
2025-03-14T04:34:41.5227616Z         ``MixedPrecision`` configuration and only needs to cast inputs to the
2025-03-14T04:34:41.5227815Z         ``param_dtype`` at the beginning of the model's forward pass.
2025-03-14T04:34:41.5227904Z     
2025-03-14T04:34:41.5228132Z     .. note:: For nested FSDP instances with different ``MixedPrecision``
2025-03-14T04:34:41.5228408Z         configurations, we recommend setting individual ``cast_forward_inputs``
2025-03-14T04:34:41.5228633Z         values to configure casting inputs or not before each instance's
2025-03-14T04:34:41.5228837Z         forward. In such a case, since the casts happen before each FSDP
2025-03-14T04:34:41.5229075Z         instance's forward, a parent FSDP instance should have its non-FSDP
2025-03-14T04:34:41.5229344Z         submodules run before its FSDP submodules to avoid the activation dtype
2025-03-14T04:34:41.5229572Z         being changed due to a different ``MixedPrecision`` configuration.
2025-03-14T04:34:41.5229660Z     
2025-03-14T04:34:41.5229773Z         Example::
2025-03-14T04:34:41.5229863Z     
2025-03-14T04:34:41.5230018Z             >>> # xdoctest: +SKIP("undefined variables")
2025-03-14T04:34:41.5230196Z             >>> model = nn.Sequential(nn.Linear(3, 3), nn.Linear(3, 3))
2025-03-14T04:34:41.5230318Z             >>> model[1] = FSDP(
2025-03-14T04:34:41.5230420Z             >>>     model[1],
2025-03-14T04:34:41.5230780Z             >>>     mixed_precision=MixedPrecision(param_dtype=torch.float16, cast_forward_inputs=True),
2025-03-14T04:34:41.5230875Z             >>> )
2025-03-14T04:34:41.5230990Z             >>> model = FSDP(
2025-03-14T04:34:41.5231087Z             >>>     model,
2025-03-14T04:34:41.5231415Z             >>>     mixed_precision=MixedPrecision(param_dtype=torch.bfloat16, cast_forward_inputs=True),
2025-03-14T04:34:41.5231508Z             >>> )
2025-03-14T04:34:41.5231607Z     
2025-03-14T04:34:41.5231827Z         The above shows a working example. On the other hand, if ``model[1]``
2025-03-14T04:34:41.5232050Z         were replaced with ``model[0]``, meaning that the submodule using
2025-03-14T04:34:41.5232285Z         different ``MixedPrecision`` ran its forward first, then ``model[1]``
2025-03-14T04:34:41.5232526Z         would incorrectly see ``float16`` activations instead of ``bfloat16``
2025-03-14T04:34:41.5232618Z         ones.
2025-03-14T04:34:41.5232720Z     
2025-03-14T04:34:41.5232809Z     
2025-03-14T04:34:41.5233087Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5233175Z     
2025-03-14T04:34:41.5233281Z       warnings.warn(msg)
2025-03-14T04:34:41.5233384Z     
2025-03-14T04:34:41.5233592Z --- Parse Warning: 63 / 116 ---
2025-03-14T04:34:41.5234588Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FullStateDictConfig in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/api.py line=295.
2025-03-14T04:34:41.5234879Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5234970Z     
2025-03-14T04:34:41.5235278Z     ``FullStateDictConfig`` is a config class meant to be used with
2025-03-14T04:34:41.5235502Z     ``StateDictType.FULL_STATE_DICT``. We recommend enabling both
2025-03-14T04:34:41.5235717Z     ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state
2025-03-14T04:34:41.5236003Z     dicts to save GPU memory and CPU memory, respectively. This config class
2025-03-14T04:34:41.5236227Z     is meant to be used via the :func:`state_dict_type` context manager as
2025-03-14T04:34:41.5236322Z     follows:
2025-03-14T04:34:41.5236415Z     
2025-03-14T04:34:41.5236570Z         >>> # xdoctest: +SKIP("undefined variables")
2025-03-14T04:34:41.5236822Z         >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-03-14T04:34:41.5236973Z         >>> fsdp = FSDP(model, auto_wrap_policy=...)
2025-03-14T04:34:41.5237186Z         >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True)
2025-03-14T04:34:41.5237427Z         >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg):
2025-03-14T04:34:41.5237544Z         >>>     state = fsdp.state_dict()
2025-03-14T04:34:41.5237776Z         >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0.
2025-03-14T04:34:41.5238053Z         >>> # To reload checkpoint for inference, finetuning, transfer learning, etc:
2025-03-14T04:34:41.5238308Z         >>> model = model_fn()  # Initialize model in preparation for wrapping with FSDP
2025-03-14T04:34:41.5238420Z         >>> if dist.get_rank() == 0:
2025-03-14T04:34:41.5238622Z         >>> # Load checkpoint only on rank 0 to avoid memory redundancy
2025-03-14T04:34:41.5238775Z         >>>     state_dict = torch.load("my_checkpoint.pt")
2025-03-14T04:34:41.5238940Z         >>>     model.load_state_dict(state_dict)
2025-03-14T04:34:41.5239186Z         >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument
2025-03-14T04:34:41.5239450Z         >>> # communicates loaded checkpoint states from rank 0 to rest of the world.
2025-03-14T04:34:41.5239555Z         >>> fsdp = FSDP(
2025-03-14T04:34:41.5239662Z         ...     model,
2025-03-14T04:34:41.5239804Z         ...     device_id=torch.cuda.current_device(),
2025-03-14T04:34:41.5239930Z         ...     auto_wrap_policy=...,
2025-03-14T04:34:41.5240074Z         ...     sync_module_states=True,
2025-03-14T04:34:41.5240176Z         ... )
2025-03-14T04:34:41.5240398Z         >>> # After this point, all ranks have FSDP model with loaded checkpoint.
2025-03-14T04:34:41.5240498Z     
2025-03-14T04:34:41.5240594Z     Attributes:
2025-03-14T04:34:41.5240815Z         rank0_only (bool): If ``True``, then only rank 0 saves the full state
2025-03-14T04:34:41.5241026Z             dict, and nonzero ranks save an empty dict. If ``False``, then all
2025-03-14T04:34:41.5241202Z             ranks save the full state dict. (Default: ``False``)
2025-03-14T04:34:41.5241290Z     
2025-03-14T04:34:41.5241562Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5241649Z     
2025-03-14T04:34:41.5241765Z       warnings.warn(msg)
2025-03-14T04:34:41.5241853Z     
2025-03-14T04:34:41.5242068Z --- Parse Warning: 64 / 116 ---
2025-03-14T04:34:41.5243286Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FullyShardedDataParallel.set_state_dict_type in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=639.
2025-03-14T04:34:41.5243573Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5243831Z     Set the ``state_dict_type`` of all the descendant FSDP modules of the target module.
2025-03-14T04:34:41.5243935Z     
2025-03-14T04:34:41.5244209Z             Also takes (optional) configuration for the model's and optimizer's state dict.
2025-03-14T04:34:41.5244437Z             The target module does not have to be a FSDP module. If the target
2025-03-14T04:34:41.5244658Z             module is a FSDP module, its ``state_dict_type`` will also be changed.
2025-03-14T04:34:41.5244760Z     
2025-03-14T04:34:41.5244968Z             .. note:: This API should be called for only the top-level (root)
2025-03-14T04:34:41.5245080Z                 module.
2025-03-14T04:34:41.5245170Z     
2025-03-14T04:34:41.5245429Z             .. note:: This API enables users to transparently use the conventional
2025-03-14T04:34:41.5245633Z                 ``state_dict`` API to take model checkpoints in cases where the
2025-03-14T04:34:41.5245860Z                 root FSDP module is wrapped by another ``nn.Module``. For example,
2025-03-14T04:34:41.5246081Z                 the following will ensure ``state_dict`` is called on all non-FSDP
2025-03-14T04:34:41.5246337Z                 instances, while dispatching into `sharded_state_dict` implementation
2025-03-14T04:34:41.5246437Z                 for FSDP:
2025-03-14T04:34:41.5246539Z     
2025-03-14T04:34:41.5246639Z             Example::
2025-03-14T04:34:41.5246739Z     
2025-03-14T04:34:41.5246883Z                 >>> # xdoctest: +SKIP("undefined variables")
2025-03-14T04:34:41.5247014Z                 >>> model = DDP(FSDP(...))
2025-03-14T04:34:41.5247136Z                 >>> FSDP.set_state_dict_type(
2025-03-14T04:34:41.5247277Z                 >>>     model,
2025-03-14T04:34:41.5247421Z                 >>>     StateDictType.SHARDED_STATE_DICT,
2025-03-14T04:34:41.5247658Z                 >>>     state_dict_config = ShardedStateDictConfig(offload_to_cpu=True),
2025-03-14T04:34:41.5247892Z                 >>>     optim_state_dict_config = OptimStateDictConfig(offload_to_cpu=True),
2025-03-14T04:34:41.5247996Z                 >>> )
2025-03-14T04:34:41.5248157Z                 >>> param_state_dict = model.state_dict()
2025-03-14T04:34:41.5248352Z                 >>> optim_state_dict = FSDP.optim_state_dict(model, optim)
2025-03-14T04:34:41.5248440Z     
2025-03-14T04:34:41.5248539Z             Args:
2025-03-14T04:34:41.5253573Z                 module (torch.nn.Module): Root module.
2025-03-14T04:34:41.5253867Z                 state_dict_type (StateDictType): the desired ``state_dict_type`` to set.
2025-03-14T04:34:41.5254137Z                 state_dict_config (Optional[StateDictConfig]): the configuration for the
2025-03-14T04:34:41.5254417Z                     target ``state_dict_type``.
2025-03-14T04:34:41.5254695Z                 optim_state_dict_config (Optional[OptimStateDictConfig]): the configuration
2025-03-14T04:34:41.5254816Z                     for the optimizer state dict.
2025-03-14T04:34:41.5254913Z     
2025-03-14T04:34:41.5255010Z             Returns:
2025-03-14T04:34:41.5255265Z                 A StateDictSettings that include the previous state_dict type and
2025-03-14T04:34:41.5255390Z                 configuration for the module.
2025-03-14T04:34:41.5255495Z             
2025-03-14T04:34:41.5255760Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5255863Z     
2025-03-14T04:34:41.5255970Z       warnings.warn(msg)
2025-03-14T04:34:41.5256072Z     
2025-03-14T04:34:41.5256319Z --- Parse Warning: 65 / 116 ---
2025-03-14T04:34:41.5257548Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FullyShardedDataParallel.state_dict_type in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=797.
2025-03-14T04:34:41.5257826Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5258098Z     Set the ``state_dict_type`` of all the descendant FSDP modules of the target module.
2025-03-14T04:34:41.5258189Z     
2025-03-14T04:34:41.5258531Z             This context manager has the same functions as :meth:`set_state_dict_type`. Read the document of
2025-03-14T04:34:41.5258674Z             :meth:`set_state_dict_type` for the detail.
2025-03-14T04:34:41.5258776Z     
2025-03-14T04:34:41.5258882Z             Example::
2025-03-14T04:34:41.5258983Z     
2025-03-14T04:34:41.5259127Z                 >>> # xdoctest: +SKIP("undefined variables")
2025-03-14T04:34:41.5259246Z                 >>> model = DDP(FSDP(...))
2025-03-14T04:34:41.5259384Z                 >>> with FSDP.state_dict_type(
2025-03-14T04:34:41.5259529Z                 >>>     model,
2025-03-14T04:34:41.5259714Z                 >>>     StateDictType.SHARDED_STATE_DICT,
2025-03-14T04:34:41.5259848Z                 >>> ):
2025-03-14T04:34:41.5260047Z                 >>>     checkpoint = model.state_dict()
2025-03-14T04:34:41.5260140Z     
2025-03-14T04:34:41.5260249Z             Args:
2025-03-14T04:34:41.5260383Z                 module (torch.nn.Module): Root module.
2025-03-14T04:34:41.5260644Z                 state_dict_type (StateDictType): the desired ``state_dict_type`` to set.
2025-03-14T04:34:41.5260885Z                 state_dict_config (Optional[StateDictConfig]): the model ``state_dict``
2025-03-14T04:34:41.5261066Z                     configuration for the target ``state_dict_type``.
2025-03-14T04:34:41.5261312Z                 optim_state_dict_config (Optional[OptimStateDictConfig]): the optimizer
2025-03-14T04:34:41.5261529Z                    ``state_dict`` configuration for the target ``state_dict_type``.
2025-03-14T04:34:41.5261662Z             
2025-03-14T04:34:41.5261940Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5262029Z     
2025-03-14T04:34:41.5262147Z       warnings.warn(msg)
2025-03-14T04:34:41.5262236Z     
2025-03-14T04:34:41.5262459Z --- Parse Warning: 66 / 116 ---
2025-03-14T04:34:41.5263727Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FullyShardedDataParallel.optim_state_dict in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=1810.
2025-03-14T04:34:41.5264015Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5264103Z     
2025-03-14T04:34:41.5264365Z     Transform the state-dict of an optimizer corresponding to a sharded model.
2025-03-14T04:34:41.5264454Z     
2025-03-14T04:34:41.5264671Z     The given state-dict can be transformed to one of three types:
2025-03-14T04:34:41.5265016Z     1) full optimizer state_dict, 2) sharded optimizer state_dict, 3) local optimizer state_dict.
2025-03-14T04:34:41.5265116Z     
2025-03-14T04:34:41.5265361Z     For full optimizer state_dict, all states are unflattened and not sharded.
2025-03-14T04:34:41.5265597Z     Rank0 only and CPU only can be specified via :meth:`state_dict_type` to
2025-03-14T04:34:41.5265693Z     avoid OOM.
2025-03-14T04:34:41.5265796Z     
2025-03-14T04:34:41.5266041Z     For sharded optimizer state_dict, all states are unflattened but sharded.
2025-03-14T04:34:41.5266268Z     CPU only can be specified via :meth:`state_dict_type` to further save
2025-03-14T04:34:41.5266360Z     memory.
2025-03-14T04:34:41.5266460Z     
2025-03-14T04:34:41.5266687Z     For local state_dict, no transformation will be performed. But a state
2025-03-14T04:34:41.5267204Z     will be converted from nn.Tensor to ShardedTensor to represent its sharding
2025-03-14T04:34:41.5267381Z     nature (this is not supported yet).
2025-03-14T04:34:41.5267530Z     
2025-03-14T04:34:41.5267672Z     Example::
2025-03-14T04:34:41.5267809Z     
2025-03-14T04:34:41.5268002Z         >>> # xdoctest: +SKIP("undefined variables")
2025-03-14T04:34:41.5268356Z         >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-03-14T04:34:41.5268583Z         >>> from torch.distributed.fsdp import StateDictType
2025-03-14T04:34:41.5268858Z         >>> from torch.distributed.fsdp import FullStateDictConfig
2025-03-14T04:34:41.5269134Z         >>> from torch.distributed.fsdp import FullOptimStateDictConfig
2025-03-14T04:34:41.5269253Z         >>> # Save a checkpoint
2025-03-14T04:34:41.5269362Z         >>> model, optim = ...
2025-03-14T04:34:41.5269489Z         >>> FSDP.set_state_dict_type(
2025-03-14T04:34:41.5269583Z         >>>     model,
2025-03-14T04:34:41.5269725Z         >>>     StateDictType.FULL_STATE_DICT,
2025-03-14T04:34:41.5269865Z         >>>     FullStateDictConfig(rank0_only=False),
2025-03-14T04:34:41.5270125Z         >>>     FullOptimStateDictConfig(rank0_only=False),
2025-03-14T04:34:41.5270217Z         >>> )
2025-03-14T04:34:41.5270340Z         >>> state_dict = model.state_dict()
2025-03-14T04:34:41.5270594Z         >>> optim_state_dict = FSDP.optim_state_dict(model, optim)
2025-03-14T04:34:41.5270806Z         >>> save_a_checkpoint(state_dict, optim_state_dict)
2025-03-14T04:34:41.5270973Z         >>> # Load a checkpoint
2025-03-14T04:34:41.5271083Z         >>> model, optim = ...
2025-03-14T04:34:41.5271259Z         >>> state_dict, optim_state_dict = load_a_checkpoint()
2025-03-14T04:34:41.5271377Z         >>> FSDP.set_state_dict_type(
2025-03-14T04:34:41.5271486Z         >>>     model,
2025-03-14T04:34:41.5271615Z         >>>     StateDictType.FULL_STATE_DICT,
2025-03-14T04:34:41.5271767Z         >>>     FullStateDictConfig(rank0_only=False),
2025-03-14T04:34:41.5271924Z         >>>     FullOptimStateDictConfig(rank0_only=False),
2025-03-14T04:34:41.5272027Z         >>> )
2025-03-14T04:34:41.5272225Z         >>> model.load_state_dict(state_dict)
2025-03-14T04:34:41.5272400Z         >>> optim_state_dict = FSDP.optim_state_dict_to_load(
2025-03-14T04:34:41.5272524Z         >>>     model, optim, optim_state_dict
2025-03-14T04:34:41.5272626Z         >>> )
2025-03-14T04:34:41.5272759Z         >>> optim.load_state_dict(optim_state_dict)
2025-03-14T04:34:41.5272861Z     
2025-03-14T04:34:41.5272953Z     Args:
2025-03-14T04:34:41.5273208Z         model (torch.nn.Module): Root module (which may or may not be a
2025-03-14T04:34:41.5273422Z             :class:`FullyShardedDataParallel` instance) whose parameters
2025-03-14T04:34:41.5273578Z             were passed into the optimizer ``optim``.
2025-03-14T04:34:41.5273770Z         optim (torch.optim.Optimizer): Optimizer for ``model`` 's
2025-03-14T04:34:41.5273882Z             parameters.
2025-03-14T04:34:41.5274105Z         optim_state_dict (Dict[str, Any]): the target optimizer state_dict to
2025-03-14T04:34:41.5274340Z             transform. If the value is None, optim.state_dict() will be used. (
2025-03-14T04:34:41.5274502Z             Default: ``None``)
2025-03-14T04:34:41.5274768Z         group (dist.ProcessGroup): Model's process group across which parameters
2025-03-14T04:34:41.5274965Z             are sharded or ``None`` if using the default process group. (
2025-03-14T04:34:41.5275149Z             Default: ``None``)
2025-03-14T04:34:41.5275242Z     
2025-03-14T04:34:41.5275356Z     Returns:
2025-03-14T04:34:41.5275560Z         Dict[str, Any]: A :class:`dict` containing the optimizer state for
2025-03-14T04:34:41.5275754Z         ``model``. The sharding of the optimizer state is based on
2025-03-14T04:34:41.5275862Z         ``state_dict_type``.
2025-03-14T04:34:41.5275965Z     
2025-03-14T04:34:41.5276230Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5276334Z     
2025-03-14T04:34:41.5276441Z       warnings.warn(msg)
2025-03-14T04:34:41.5276542Z     
2025-03-14T04:34:41.5276780Z --- Parse Warning: 67 / 116 ---
2025-03-14T04:34:41.5278046Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FullyShardedDataParallel.optim_state_dict_to_load in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=1908.
2025-03-14T04:34:41.5278324Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5278427Z     
2025-03-14T04:34:41.5278794Z     Convert an optimizer state-dict so that it can be loaded into the optimizer associated with the FSDP model.
2025-03-14T04:34:41.5278895Z     
2025-03-14T04:34:41.5279073Z     Given a ``optim_state_dict`` that is transformed through
2025-03-14T04:34:41.5279308Z     :meth:`optim_state_dict`, it gets converted to the flattened optimizer
2025-03-14T04:34:41.5279527Z     state_dict that can be loaded to ``optim`` which is the optimizer for
2025-03-14T04:34:41.5279736Z     ``model``. ``model`` must be sharded by FullyShardedDataParallel.
2025-03-14T04:34:41.5279858Z     
2025-03-14T04:34:41.5280011Z         >>> # xdoctest: +SKIP("undefined variables")
2025-03-14T04:34:41.5280257Z         >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-03-14T04:34:41.5280437Z         >>> from torch.distributed.fsdp import StateDictType
2025-03-14T04:34:41.5280622Z         >>> from torch.distributed.fsdp import FullStateDictConfig
2025-03-14T04:34:41.5280844Z         >>> from torch.distributed.fsdp import FullOptimStateDictConfig
2025-03-14T04:34:41.5280951Z         >>> # Save a checkpoint
2025-03-14T04:34:41.5281071Z         >>> model, optim = ...
2025-03-14T04:34:41.5281185Z         >>> FSDP.set_state_dict_type(
2025-03-14T04:34:41.5281281Z         >>>     model,
2025-03-14T04:34:41.5281422Z         >>>     StateDictType.FULL_STATE_DICT,
2025-03-14T04:34:41.5281564Z         >>>     FullStateDictConfig(rank0_only=False),
2025-03-14T04:34:41.5281731Z         >>>     FullOptimStateDictConfig(rank0_only=False),
2025-03-14T04:34:41.5281851Z         >>> )
2025-03-14T04:34:41.5281986Z         >>> state_dict = model.state_dict()
2025-03-14T04:34:41.5282113Z         >>> original_osd = optim.state_dict()
2025-03-14T04:34:41.5282264Z         >>> optim_state_dict = FSDP.optim_state_dict(
2025-03-14T04:34:41.5282359Z         >>>     model,
2025-03-14T04:34:41.5282464Z         >>>     optim,
2025-03-14T04:34:41.5282610Z         >>>     optim_state_dict=original_osd
2025-03-14T04:34:41.5282712Z         >>> )
2025-03-14T04:34:41.5282867Z         >>> save_a_checkpoint(state_dict, optim_state_dict)
2025-03-14T04:34:41.5282985Z         >>> # Load a checkpoint
2025-03-14T04:34:41.5283092Z         >>> model, optim = ...
2025-03-14T04:34:41.5283265Z         >>> state_dict, optim_state_dict = load_a_checkpoint()
2025-03-14T04:34:41.5283381Z         >>> FSDP.set_state_dict_type(
2025-03-14T04:34:41.5283485Z         >>>     model,
2025-03-14T04:34:41.5283613Z         >>>     StateDictType.FULL_STATE_DICT,
2025-03-14T04:34:41.5283796Z         >>>     FullStateDictConfig(rank0_only=False),
2025-03-14T04:34:41.5283949Z         >>>     FullOptimStateDictConfig(rank0_only=False),
2025-03-14T04:34:41.5284052Z         >>> )
2025-03-14T04:34:41.5284179Z         >>> model.load_state_dict(state_dict)
2025-03-14T04:34:41.5284350Z         >>> optim_state_dict = FSDP.optim_state_dict_to_load(
2025-03-14T04:34:41.5284473Z         >>>     model, optim, optim_state_dict
2025-03-14T04:34:41.5284577Z         >>> )
2025-03-14T04:34:41.5284714Z         >>> optim.load_state_dict(optim_state_dict)
2025-03-14T04:34:41.5284814Z     
2025-03-14T04:34:41.5284905Z     Args:
2025-03-14T04:34:41.5285122Z         model (torch.nn.Module): Root module (which may or may not be a
2025-03-14T04:34:41.5285333Z             :class:`FullyShardedDataParallel` instance) whose parameters
2025-03-14T04:34:41.5285488Z             were passed into the optimizer ``optim``.
2025-03-14T04:34:41.5285681Z         optim (torch.optim.Optimizer): Optimizer for ``model`` 's
2025-03-14T04:34:41.5285797Z             parameters.
2025-03-14T04:34:41.5286023Z         optim_state_dict (Dict[str, Any]): The optimizer states to be loaded.
2025-03-14T04:34:41.5286245Z         is_named_optimizer (bool): Is this optimizer a NamedOptimizer or
2025-03-14T04:34:41.5286448Z             KeyedOptimizer. Only set to True if ``optim`` is TorchRec's
2025-03-14T04:34:41.5286648Z             KeyedOptimizer or torch.distributed's NamedOptimizer.
2025-03-14T04:34:41.5286854Z         load_directly (bool): If this is set to True, this API will also
2025-03-14T04:34:41.5287077Z             call optim.load_state_dict(result) before returning the result.
2025-03-14T04:34:41.5287311Z             Otherwise, users are responsible to call ``optim.load_state_dict()``
2025-03-14T04:34:41.5287433Z             (Default: ``False``)
2025-03-14T04:34:41.5287681Z         group (dist.ProcessGroup): Model's process group across which parameters
2025-03-14T04:34:41.5287890Z             are sharded or ``None`` if using the default process group. (
2025-03-14T04:34:41.5288024Z             Default: ``None``)
2025-03-14T04:34:41.5288126Z     
2025-03-14T04:34:41.5288393Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5288481Z     
2025-03-14T04:34:41.5288597Z       warnings.warn(msg)
2025-03-14T04:34:41.5288686Z     
2025-03-14T04:34:41.5288906Z --- Parse Warning: 68 / 116 ---
2025-03-14T04:34:41.5289940Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_RemoteModule.__init__ in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/nn/api/remote_module.py line=128.
2025-03-14T04:34:41.5290228Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5290332Z     
2025-03-14T04:34:41.5290569Z     RemoteModule instance can only be created after RPC initialization.
2025-03-14T04:34:41.5290659Z     
2025-03-14T04:34:41.5290907Z     It creates a user-specified module on a specified remote node.
2025-03-14T04:34:41.5291150Z     It behaves like a regular ``nn.Module`` except that the ``forward`` method is
2025-03-14T04:34:41.5291277Z     executed on the remote node.
2025-03-14T04:34:41.5291523Z     It takes care of autograd recording to ensure the backward pass propagates
2025-03-14T04:34:41.5291701Z     gradients back to the corresponding remote module.
2025-03-14T04:34:41.5292101Z     It can be shared across processors using `RPC framework <https://pytorch.org/docs/stable/rpc.html>`__,
2025-03-14T04:34:41.5292323Z     without incurring any overheads of copying the actual module,
2025-03-14T04:34:41.5292532Z     which is equivalent to an :class:`~torch.distributed.rpc.RRef`
2025-03-14T04:34:41.5292663Z     pointing to the remote module.
2025-03-14T04:34:41.5292751Z     
2025-03-14T04:34:41.5292970Z     The arguments of ``forward_async`` and ``forward`` are the same as
2025-03-14T04:34:41.5293180Z     the ``forward`` method of the module returned by the ``module_cls``.
2025-03-14T04:34:41.5293312Z     
2025-03-14T04:34:41.5293631Z     Apart from ``forward_async`` and ``forward``, no other methods are supported from nn.Module for now.
2025-03-14T04:34:41.5293730Z     
2025-03-14T04:34:41.5293990Z     Particularly, to create a hybrid model, typically the local modules should be
2025-03-14T04:34:41.5294388Z     created outside of remote modules, rather than as submodules of any remote module (by calling ``add_module``).
2025-03-14T04:34:41.5294492Z     Hybrid Example:
2025-03-14T04:34:41.5294629Z             >>> class HybridModel(nn.Module):
2025-03-14T04:34:41.5294751Z             >>>     def __init__(self) -> None:
2025-03-14T04:34:41.5294882Z             >>>         nn.Module.__init__(self)
2025-03-14T04:34:41.5295032Z             >>>         self.remote_embedding = RemoteModule(...)
2025-03-14T04:34:41.5295176Z             >>>         self.local_linear = nn.Linear(...)
2025-03-14T04:34:41.5295263Z     
2025-03-14T04:34:41.5295490Z     For example, if ``module_cls`` returns an instance of ``nn.Linear``,
2025-03-14T04:34:41.5295750Z     that has ``forward`` method signature, ``def forward(input: Tensor) -> Tensor:``,
2025-03-14T04:34:41.5295979Z     the generated ``RemoteModule`` will have 2 methods in signature of
2025-03-14T04:34:41.5296118Z     ``def forward(input: Tensor) -> Tensor:`` and
2025-03-14T04:34:41.5296301Z     ``def forward_async(input: Tensor) -> Future[Tensor]:``.
2025-03-14T04:34:41.5296392Z     
2025-03-14T04:34:41.5296505Z     .. note::
2025-03-14T04:34:41.5296657Z         If the remote module is placed on a cuda device,
2025-03-14T04:34:41.5296914Z         any input CPU tensors will be automatically moved to the same cuda device,
2025-03-14T04:34:41.5297329Z         and GPU tensors are returned over the wire according to the device map of the remote worker on TensorPipe RPC backend.
2025-03-14T04:34:41.5297429Z     
2025-03-14T04:34:41.5297521Z     Args:
2025-03-14T04:34:41.5297840Z         remote_device (str): Device on the destination worker where we'd like to place this module.
2025-03-14T04:34:41.5298171Z             The device can be a local device or a remote device specified by one of the following remote
2025-03-14T04:34:41.5298280Z             formats:
2025-03-14T04:34:41.5298368Z     
2025-03-14T04:34:41.5298529Z                 1. "rank:<rank>/<device>" (ex: "rank:0/cuda:0").
2025-03-14T04:34:41.5298692Z                 2. "<worker_name>/<device>" (ex: "trainer0/cuda:0").
2025-03-14T04:34:41.5298790Z     
2025-03-14T04:34:41.5299046Z             In addition, the device field can be optional and the default value is "cpu".
2025-03-14T04:34:41.5299183Z         module_cls (nn.Module): For example,
2025-03-14T04:34:41.5299301Z             >>> class MyModule(nn.Module):
2025-03-14T04:34:41.5299424Z             >>>     def forward(input):
2025-03-14T04:34:41.5299534Z             >>>         return input + 1
2025-03-14T04:34:41.5299640Z             >>>
2025-03-14T04:34:41.5299753Z             >>> module_cls = MyModule
2025-03-14T04:34:41.5300022Z         args (Sequence, optional): args to be passed to ``module_cls``.
2025-03-14T04:34:41.5300224Z         kwargs (Dict, optional): kwargs to be passed to ``module_cls``.
2025-03-14T04:34:41.5300523Z         _module_interface_cls (type, optional): The TorchScript interface type for the module
2025-03-14T04:34:41.5300767Z             to be created. The type object should be decorated by @torch.jit.interface.
2025-03-14T04:34:41.5301036Z             If not provided, the generated RemoteModule is not torchscript-able.
2025-03-14T04:34:41.5301281Z             Warning, this is an experimental API and susceptible to frequent changes.
2025-03-14T04:34:41.5301386Z     
2025-03-14T04:34:41.5301479Z     Returns:
2025-03-14T04:34:41.5301746Z         A remote module instance which wraps the :class:`~nn.Module` created by the
2025-03-14T04:34:41.5302030Z         user-provided ``module_cls``, it has a blocking ``forward`` method and an
2025-03-14T04:34:41.5302409Z         asynchronous ``forward_async`` method that returns a future of the ``forward`` call
2025-03-14T04:34:41.5302607Z         on the user-provided module on the remote side.
2025-03-14T04:34:41.5302710Z     
2025-03-14T04:34:41.5302810Z     Example::
2025-03-14T04:34:41.5302990Z         Run the following code in two different processes:
2025-03-14T04:34:41.5303084Z     
2025-03-14T04:34:41.5303209Z         >>> # xdoctest: +SKIP("distributed")
2025-03-14T04:34:41.5303328Z         >>> # On worker 0:
2025-03-14T04:34:41.5303429Z         >>> import torch
2025-03-14T04:34:41.5303579Z         >>> import torch.distributed.rpc as rpc
2025-03-14T04:34:41.5303698Z         >>> from torch import nn, Tensor
2025-03-14T04:34:41.5303943Z         >>> from torch.distributed.nn.api.remote_module import RemoteModule
2025-03-14T04:34:41.5304035Z         >>>
2025-03-14T04:34:41.5304198Z         >>> rpc.init_rpc("worker0", rank=0, world_size=2)
2025-03-14T04:34:41.5304329Z         >>> remote_linear_module = RemoteModule(
2025-03-14T04:34:41.5304478Z         >>>     "worker1/cpu", nn.Linear, args=(20, 30),
2025-03-14T04:34:41.5304577Z         >>> )
2025-03-14T04:34:41.5304706Z         >>> input = torch.randn(128, 20)
2025-03-14T04:34:41.5304871Z         >>> ret_fut = remote_linear_module.forward_async(input)
2025-03-14T04:34:41.5304992Z         >>> ret = ret_fut.wait()
2025-03-14T04:34:41.5305098Z         >>> rpc.shutdown()
2025-03-14T04:34:41.5305199Z     
2025-03-14T04:34:41.5305298Z         >>> # On worker 1:
2025-03-14T04:34:41.5305413Z         >>> import torch
2025-03-14T04:34:41.5305549Z         >>> import torch.distributed.rpc as rpc
2025-03-14T04:34:41.5305653Z         >>>
2025-03-14T04:34:41.5305801Z         >>> rpc.init_rpc("worker1", rank=1, world_size=2)
2025-03-14T04:34:41.5305919Z         >>> rpc.shutdown()
2025-03-14T04:34:41.5306008Z     
2025-03-14T04:34:41.5306287Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5306375Z     
2025-03-14T04:34:41.5306493Z       warnings.warn(msg)
2025-03-14T04:34:41.5306586Z     
2025-03-14T04:34:41.5306854Z --- Parse Warning: 69 / 116 ---
2025-03-14T04:34:41.5307950Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_RemoteModule.init_from_module_rref in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/nn/api/remote_module.py line=505.
2025-03-14T04:34:41.5308241Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5308332Z     
2025-03-14T04:34:41.5308680Z     Besides the constructor, a RemoteModule instance can also be initialized given a module RRef.
2025-03-14T04:34:41.5308771Z     
2025-03-14T04:34:41.5309118Z     This alternate initialization method can be particularly useful if we want to create multiple
2025-03-14T04:34:41.5309444Z     RemoteModule instances that share the same underlying module and reduce memory consumption.
2025-03-14T04:34:41.5309552Z     
2025-03-14T04:34:41.5309843Z     Moreover, this also provides a workaround for passing script RemoteModule over RPC,
2025-03-14T04:34:41.5310074Z     which is not supported. The recommended way is as follows:
2025-03-14T04:34:41.5310163Z     
2025-03-14T04:34:41.5310304Z         1. the sender creates a RemoteModule;
2025-03-14T04:34:41.5310457Z         2. the sender sends its ``module_rref`` over RPC;
2025-03-14T04:34:41.5310844Z         3. the receiver calls this method to initialize another RemoteModule using the same ``module_rref``.
2025-03-14T04:34:41.5310933Z     
2025-03-14T04:34:41.5311043Z     Example::
2025-03-14T04:34:41.5311205Z         Run the following code in two different processes:
2025-03-14T04:34:41.5311292Z     
2025-03-14T04:34:41.5311433Z         >>> # xdoctest: +SKIP("distributed")
2025-03-14T04:34:41.5311536Z         >>> # On worker 0:
2025-03-14T04:34:41.5311649Z         >>> import torch
2025-03-14T04:34:41.5311783Z         >>> import torch.distributed.rpc as rpc
2025-03-14T04:34:41.5311914Z         >>> from torch import nn, Tensor
2025-03-14T04:34:41.5312177Z         >>> from torch.distributed.nn.api.remote_module import RemoteModule
2025-03-14T04:34:41.5312280Z         >>>
2025-03-14T04:34:41.5312428Z         >>> rpc.init_rpc("worker0", rank=0, world_size=2)
2025-03-14T04:34:41.5312561Z         >>> remote_module = RemoteModule(
2025-03-14T04:34:41.5312696Z         >>>     "worker1/cpu", nn.Linear, args=(20, 30),
2025-03-14T04:34:41.5312798Z         >>> )
2025-03-14T04:34:41.5312891Z         >>>
2025-03-14T04:34:41.5313024Z         >>> remote_module1 = rpc.rpc_sync(
2025-03-14T04:34:41.5313128Z         >>>     "worker1/cpu",
2025-03-14T04:34:41.5313272Z         >>>     RemoteModule.init_from_module_rref,
2025-03-14T04:34:41.5313437Z         >>>     ("worker1/cpu", remote_module1.get_module_rref()),
2025-03-14T04:34:41.5313539Z         >>> )
2025-03-14T04:34:41.5313644Z         >>> rpc.shutdown()
2025-03-14T04:34:41.5313742Z     
2025-03-14T04:34:41.5313841Z         >>> # On worker 1:
2025-03-14T04:34:41.5313956Z         >>> import torch
2025-03-14T04:34:41.5314096Z         >>> import torch.distributed.rpc as rpc
2025-03-14T04:34:41.5314198Z         >>>
2025-03-14T04:34:41.5314345Z         >>> rpc.init_rpc("worker1", rank=1, world_size=2)
2025-03-14T04:34:41.5314458Z         >>> rpc.shutdown()
2025-03-14T04:34:41.5314546Z     
2025-03-14T04:34:41.5314648Z     Args:
2025-03-14T04:34:41.5314958Z         remote_device (str): Device on the destination worker where we'd like to place this module.
2025-03-14T04:34:41.5315358Z             The device can be a local device or a remote device specified by one of the following remote
2025-03-14T04:34:41.5315455Z             formats:
2025-03-14T04:34:41.5315559Z     
2025-03-14T04:34:41.5315712Z                 1. "rank:<rank>/<device>" (ex: "rank:0/cuda:0").
2025-03-14T04:34:41.5315883Z                 2. "<worker_name>/<device>" (ex: "trainer0/cuda:0").
2025-03-14T04:34:41.5315973Z     
2025-03-14T04:34:41.5316242Z             In addition, the device field can be optional and the default value is "cpu".
2025-03-14T04:34:41.5316539Z         module_rref (RRef[nn.Module]): The module reference shared by both the caller and
2025-03-14T04:34:41.5316663Z             the created remote module.
2025-03-14T04:34:41.5316949Z         _module_interface_cls (type, optional): The TorchScript interface type for the module
2025-03-14T04:34:41.5317198Z             to be created. The type object should be decorated by @torch.jit.interface.
2025-03-14T04:34:41.5317431Z             If not provided, the generated RemoteModule is not torchscript-able.
2025-03-14T04:34:41.5317685Z             Warning, this is an experimental API and susceptible to frequent changes.
2025-03-14T04:34:41.5317777Z     
2025-03-14T04:34:41.5317880Z     Returns:
2025-03-14T04:34:41.5318137Z         A remote module instance which wraps the :class:`~nn.Module` created by the
2025-03-14T04:34:41.5318390Z         user-provided ``module_rref``, it has a blocking ``forward`` method and an
2025-03-14T04:34:41.5318673Z         asynchronous ``forward_async`` method that returns a future of the ``forward`` call
2025-03-14T04:34:41.5318866Z         on the user-provided module on the remote side.
2025-03-14T04:34:41.5318957Z     
2025-03-14T04:34:41.5319229Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5319325Z     
2025-03-14T04:34:41.5319440Z       warnings.warn(msg)
2025-03-14T04:34:41.5319530Z     
2025-03-14T04:34:41.5319779Z --- Parse Warning: 70 / 116 ---
2025-03-14T04:34:41.5320785Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=RemoteModule in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/nn/api/remote_module.py line=597.
2025-03-14T04:34:41.5321071Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5321159Z     
2025-03-14T04:34:41.5321411Z         A RemoteModule instance can only be created after RPC initialization.
2025-03-14T04:34:41.5321535Z     
2025-03-14T04:34:41.5321753Z         It creates a user-specified module on a specified remote node.
2025-03-14T04:34:41.5322000Z         It behaves like a regular ``nn.Module`` except that the ``forward`` method is
2025-03-14T04:34:41.5322123Z         executed on the remote node.
2025-03-14T04:34:41.5322370Z         It takes care of autograd recording to ensure the backward pass propagates
2025-03-14T04:34:41.5322554Z         gradients back to the corresponding remote module.
2025-03-14T04:34:41.5322642Z     
2025-03-14T04:34:41.5322880Z         It generates two methods ``forward_async`` and ``forward`` based on the
2025-03-14T04:34:41.5323102Z         signature of the ``forward`` method of ``module_cls``. ``forward_async``
2025-03-14T04:34:41.5323373Z         runs asynchronously and returns a Future. The arguments of ``forward_async``
2025-03-14T04:34:41.5323582Z         and ``forward`` are the same as the ``forward`` method of the module
2025-03-14T04:34:41.5323710Z         returned by the ``module_cls``.
2025-03-14T04:34:41.5323803Z     
2025-03-14T04:34:41.5324023Z         For example, if ``module_cls`` returns an instance of ``nn.Linear``,
2025-03-14T04:34:41.5324283Z         that has ``forward`` method signature: ``def forward(input: Tensor) -> Tensor:``,
2025-03-14T04:34:41.5324531Z         the generated ``RemoteModule`` will have 2 methods with the signatures:
2025-03-14T04:34:41.5324617Z     
2025-03-14T04:34:41.5324762Z         | ``def forward(input: Tensor) -> Tensor:``
2025-03-14T04:34:41.5324937Z         | ``def forward_async(input: Tensor) -> Future[Tensor]:``
2025-03-14T04:34:41.5325035Z     
2025-03-14T04:34:41.5325124Z     Args:
2025-03-14T04:34:41.5325440Z         remote_device (str): Device on the destination worker where we'd like to place this module.
2025-03-14T04:34:41.5325791Z             The format should be "<workername>/<device>", where the device field can be parsed as torch.device type.
2025-03-14T04:34:41.5325950Z             E.g., "trainer0/cpu", "trainer0", "ps0/cuda:0".
2025-03-14T04:34:41.5326237Z             In addition, the device field can be optional and the default value is "cpu".
2025-03-14T04:34:41.5326504Z         module_cls (nn.Module): Class for the module to be created remotely. For example,
2025-03-14T04:34:41.5326592Z     
2025-03-14T04:34:41.5326715Z             >>> class MyModule(nn.Module):
2025-03-14T04:34:41.5326825Z             >>>     def forward(input):
2025-03-14T04:34:41.5326941Z             >>>         return input + 1
2025-03-14T04:34:41.5327031Z             >>>
2025-03-14T04:34:41.5327147Z             >>> module_cls = MyModule
2025-03-14T04:34:41.5327234Z     
2025-03-14T04:34:41.5327444Z         args (Sequence, optional): args to be passed to ``module_cls``.
2025-03-14T04:34:41.5327652Z         kwargs (Dict, optional): kwargs to be passed to ``module_cls``.
2025-03-14T04:34:41.5327740Z     
2025-03-14T04:34:41.5327839Z     Returns:
2025-03-14T04:34:41.5328093Z         A remote module instance which wraps the :class:`~nn.Module` created by the
2025-03-14T04:34:41.5328370Z         user-provided ``module_cls``, it has a blocking ``forward`` method and an
2025-03-14T04:34:41.5328655Z         asynchronous ``forward_async`` method that returns a future of the ``forward`` call
2025-03-14T04:34:41.5328817Z         on the user-provided module on the remote side.
2025-03-14T04:34:41.5328905Z     
2025-03-14T04:34:41.5329014Z     Example::
2025-03-14T04:34:41.5329202Z         Run the following code in two different processes:
2025-03-14T04:34:41.5329300Z     
2025-03-14T04:34:41.5329426Z         >>> # xdoctest: +SKIP("distributed")
2025-03-14T04:34:41.5329536Z         >>> # On worker 0:
2025-03-14T04:34:41.5329636Z         >>> import torch
2025-03-14T04:34:41.5329779Z         >>> import torch.distributed.rpc as rpc
2025-03-14T04:34:41.5329895Z         >>> from torch import nn, Tensor
2025-03-14T04:34:41.5330136Z         >>> from torch.distributed.nn.api.remote_module import RemoteModule
2025-03-14T04:34:41.5330225Z         >>>
2025-03-14T04:34:41.5330413Z         >>> rpc.init_rpc("worker0", rank=0, world_size=2)
2025-03-14T04:34:41.5330542Z         >>> remote_linear_module = RemoteModule(
2025-03-14T04:34:41.5330688Z         >>>     "worker1/cpu", nn.Linear, args=(20, 30),
2025-03-14T04:34:41.5330780Z         >>> )
2025-03-14T04:34:41.5330907Z         >>> input = torch.randn(128, 20)
2025-03-14T04:34:41.5331069Z         >>> ret_fut = remote_linear_module.forward_async(input)
2025-03-14T04:34:41.5331190Z         >>> ret = ret_fut.wait()
2025-03-14T04:34:41.5331294Z         >>> rpc.shutdown()
2025-03-14T04:34:41.5331391Z     
2025-03-14T04:34:41.5331490Z         >>> # On worker 1:
2025-03-14T04:34:41.5331599Z         >>> import torch
2025-03-14T04:34:41.5331732Z         >>> import torch.distributed.rpc as rpc
2025-03-14T04:34:41.5331834Z         >>>
2025-03-14T04:34:41.5331980Z         >>> rpc.init_rpc("worker1", rank=1, world_size=2)
2025-03-14T04:34:41.5332094Z         >>> rpc.shutdown()
2025-03-14T04:34:41.5332181Z     
2025-03-14T04:34:41.5332390Z         Furthermore, a more practical example that is combined with
2025-03-14T04:34:41.5332894Z         `DistributedDataParallel <https://pytorch.org/docs/stable/nn.html#torch.nn.parallel.DistributedDataParallel>`__ (DDP)
2025-03-14T04:34:41.5333243Z         can be found in this `tutorial <https://pytorch.org/tutorials/advanced/rpc_ddp_tutorial.html>`__.
2025-03-14T04:34:41.5333332Z     
2025-03-14T04:34:41.5333608Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5333695Z     
2025-03-14T04:34:41.5333800Z       warnings.warn(msg)
2025-03-14T04:34:41.5333898Z     
2025-03-14T04:34:41.5334098Z --- Parse Warning: 71 / 116 ---
2025-03-14T04:34:41.5335128Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DistributedOptimizer in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/optim/optimizer.py line=130.
2025-03-14T04:34:41.5335463Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5335555Z     
2025-03-14T04:34:41.5335807Z     DistributedOptimizer takes remote references to parameters scattered
2025-03-14T04:34:41.5336066Z     across workers and applies the given optimizer locally for each parameter.
2025-03-14T04:34:41.5336155Z     
2025-03-14T04:34:41.5336412Z     This class uses :meth:`~torch.distributed.autograd.get_gradients` in order
2025-03-14T04:34:41.5336577Z     to retrieve the gradients for specific parameters.
2025-03-14T04:34:41.5336677Z     
2025-03-14T04:34:41.5336783Z     Concurrent calls to
2025-03-14T04:34:41.5337008Z     :meth:`~torch.distributed.optim.DistributedOptimizer.step`,
2025-03-14T04:34:41.5337160Z     either from the same or different clients, will
2025-03-14T04:34:41.5337405Z     be serialized on each worker -- as each worker's optimizer can only work
2025-03-14T04:34:41.5337618Z     on one set of gradients at a time. However, there is no guarantee that
2025-03-14T04:34:41.5337913Z     the full forward-backward-optimizer sequence will execute for one client
2025-03-14T04:34:41.5338137Z     at a time. This means that the gradients being applied may not correspond
2025-03-14T04:34:41.5338379Z     to the latest forward pass executed on a given worker. Also, there is no
2025-03-14T04:34:41.5338505Z     guaranteed ordering across workers.
2025-03-14T04:34:41.5338602Z     
2025-03-14T04:34:41.5338899Z     `DistributedOptimizer` creates the local optimizer with TorchScript enabled
2025-03-14T04:34:41.5339147Z     by default, so that optimizer updates are not blocked by the Python Global
2025-03-14T04:34:41.5339399Z     Interpreter Lock (GIL) in the case of multithreaded training (e.g. Distributed
2025-03-14T04:34:41.5339661Z     Model Parallel). This feature is currently enabled for most optimizers. You
2025-03-14T04:34:41.5339926Z     can also follow `the recipe`__ in PyTorch tutorials to enable TorchScript support
2025-03-14T04:34:41.5340050Z     for your own custom optimizers.
2025-03-14T04:34:41.5340164Z     
2025-03-14T04:34:41.5340266Z     Args:
2025-03-14T04:34:41.5340474Z         optimizer_class (optim.Optimizer): the class of optimizer to
2025-03-14T04:34:41.5340600Z             instantiate on each worker.
2025-03-14T04:34:41.5340819Z         params_rref (list[RRef]): list of RRefs to local or remote parameters
2025-03-14T04:34:41.5340929Z             to optimize.
2025-03-14T04:34:41.5341153Z         args: arguments to pass to the optimizer constructor on each worker.
2025-03-14T04:34:41.5341391Z         kwargs: arguments to pass to the optimizer constructor on each worker.
2025-03-14T04:34:41.5341478Z     
2025-03-14T04:34:41.5341587Z     Example::
2025-03-14T04:34:41.5341712Z         >>> # xdoctest: +SKIP("distributed")
2025-03-14T04:34:41.5341892Z         >>> import torch.distributed.autograd as dist_autograd
2025-03-14T04:34:41.5342027Z         >>> import torch.distributed.rpc as rpc
2025-03-14T04:34:41.5342149Z         >>> from torch import optim
2025-03-14T04:34:41.5342351Z         >>> from torch.distributed.optim import DistributedOptimizer
2025-03-14T04:34:41.5342451Z         >>>
2025-03-14T04:34:41.5342596Z         >>> with dist_autograd.context() as context_id:
2025-03-14T04:34:41.5342707Z         >>>   # Forward pass.
2025-03-14T04:34:41.5342918Z         >>>   rref1 = rpc.remote("worker1", torch.add, args=(torch.ones(2), 3))
2025-03-14T04:34:41.5343132Z         >>>   rref2 = rpc.remote("worker1", torch.add, args=(torch.ones(2), 1))
2025-03-14T04:34:41.5343265Z         >>>   loss = rref1.to_here() + rref2.to_here()
2025-03-14T04:34:41.5343366Z         >>>
2025-03-14T04:34:41.5343476Z         >>>   # Backward pass.
2025-03-14T04:34:41.5343645Z         >>>   dist_autograd.backward(context_id, [loss.sum()])
2025-03-14T04:34:41.5343734Z         >>>
2025-03-14T04:34:41.5343844Z         >>>   # Optimizer.
2025-03-14T04:34:41.5343974Z         >>>   dist_optim = DistributedOptimizer(
2025-03-14T04:34:41.5344082Z         >>>      optim.SGD,
2025-03-14T04:34:41.5344184Z         >>>      [rref1, rref2],
2025-03-14T04:34:41.5344321Z         >>>      lr=0.05,
2025-03-14T04:34:41.5344410Z         >>>   )
2025-03-14T04:34:41.5344529Z         >>>   dist_optim.step(context_id)
2025-03-14T04:34:41.5344624Z     
2025-03-14T04:34:41.5344791Z     __ https://github.com/pytorch/tutorials/pull/1465
2025-03-14T04:34:41.5344885Z     
2025-03-14T04:34:41.5345148Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5345245Z     
2025-03-14T04:34:41.5345349Z       warnings.warn(msg)
2025-03-14T04:34:41.5345446Z     
2025-03-14T04:34:41.5345647Z --- Parse Warning: 72 / 116 ---
2025-03-14T04:34:41.5346750Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=PostLocalSGDOptimizer in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/optim/post_localSGD_optimizer.py line=9.
2025-03-14T04:34:41.5347025Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5347158Z     
2025-03-14T04:34:41.5347563Z     Wraps an arbitrary :class:`torch.optim.Optimizer` and runs `post-local SGD <https://arxiv.org/abs/1808.07217>`_,
2025-03-14T04:34:41.5347740Z     This optimizer runs local optimizer at every step.
2025-03-14T04:34:41.5348082Z     After the warm-up stage, it averages parameters periodically afer the local optimizer is applied.
2025-03-14T04:34:41.5348182Z     
2025-03-14T04:34:41.5348301Z     Args:
2025-03-14T04:34:41.5348428Z         optim: The local optimizer.
2025-03-14T04:34:41.5348655Z         averager: A model averager instance to run post-localSGD algorithm.
2025-03-14T04:34:41.5348756Z     
2025-03-14T04:34:41.5348855Z     Example::
2025-03-14T04:34:41.5348954Z     
2025-03-14T04:34:41.5349093Z         >>> # xdoctest: +SKIP("undefined variables")
2025-03-14T04:34:41.5349207Z         >>> import torch
2025-03-14T04:34:41.5349340Z         >>> import torch.distributed as dist
2025-03-14T04:34:41.5349635Z         >>> import torch.distributed.algorithms.model_averaging.averagers as averagers
2025-03-14T04:34:41.5349773Z         >>> import torch.nn as nn
2025-03-14T04:34:41.5349988Z         >>> from torch.distributed.optim import PostLocalSGDOptimizer
2025-03-14T04:34:41.5350271Z         >>> from torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook import (
2025-03-14T04:34:41.5350397Z         >>>   PostLocalSGDState,
2025-03-14T04:34:41.5350512Z         >>>   post_localSGD_hook,
2025-03-14T04:34:41.5350615Z         >>> )
2025-03-14T04:34:41.5350708Z         >>>
2025-03-14T04:34:41.5350884Z         >>> model = nn.parallel.DistributedDataParallel(
2025-03-14T04:34:41.5351036Z         >>>    module, device_ids=[rank], output_device=rank
2025-03-14T04:34:41.5351140Z         >>> )
2025-03-14T04:34:41.5351232Z         >>>
2025-03-14T04:34:41.5351400Z         >>> # Register a post-localSGD communication hook.
2025-03-14T04:34:41.5351709Z         >>> state = PostLocalSGDState(process_group=None, subgroup=None, start_localSGD_iter=100)
2025-03-14T04:34:41.5351897Z         >>> model.register_comm_hook(state, post_localSGD_hook)
2025-03-14T04:34:41.5351989Z         >>>
2025-03-14T04:34:41.5352213Z         >>> # Create a post-localSGD optimizer that wraps a local optimizer.
2025-03-14T04:34:41.5352473Z         >>> # Note that ``warmup_steps`` used in ``PostLocalSGDOptimizer`` must be the same as
2025-03-14T04:34:41.5352667Z         >>> # ``start_localSGD_iter`` used in ``PostLocalSGDState``.
2025-03-14T04:34:41.5352886Z         >>> local_optim = torch.optim.SGD(params=model.parameters(), lr=0.01)
2025-03-14T04:34:41.5353023Z         >>> opt = PostLocalSGDOptimizer(
2025-03-14T04:34:41.5353133Z         >>>     optim=local_optim,
2025-03-14T04:34:41.5353399Z         >>>     averager=averagers.PeriodicModelAverager(period=4, warmup_steps=100)
2025-03-14T04:34:41.5353489Z         >>> )
2025-03-14T04:34:41.5353579Z         >>>
2025-03-14T04:34:41.5353825Z         >>> # In the first 100 steps, DDP runs global gradient averaging at every step.
2025-03-14T04:34:41.5354166Z         >>> # After 100 steps, DDP runs gradient averaging within each subgroup (intra-node by default),
2025-03-14T04:34:41.5354564Z         >>> # and post-localSGD optimizer runs global model averaging every 4 steps after applying the local optimizer.
2025-03-14T04:34:41.5354690Z         >>> for step in range(0, 200):
2025-03-14T04:34:41.5354793Z         >>>    opt.zero_grad()
2025-03-14T04:34:41.5354915Z         >>>    loss = loss_fn(output, labels)
2025-03-14T04:34:41.5355030Z         >>>    loss.backward()
2025-03-14T04:34:41.5355212Z         >>>    opt.step()
2025-03-14T04:34:41.5355310Z     
2025-03-14T04:34:41.5355576Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5355673Z     
2025-03-14T04:34:41.5355778Z       warnings.warn(msg)
2025-03-14T04:34:41.5355875Z     
2025-03-14T04:34:41.5356081Z --- Parse Warning: 73 / 116 ---
2025-03-14T04:34:41.5357217Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ZeroRedundancyOptimizer in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/optim/zero_redundancy_optimizer.py line=284.
2025-03-14T04:34:41.5357533Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5357629Z     
2025-03-14T04:34:41.5358071Z     Wrap an arbitrary :class:`optim.Optimizer <torch.optim.Optimizer>` and shards its states across ranks in the group.
2025-03-14T04:34:41.5358171Z     
2025-03-14T04:34:41.5358308Z     The sharing is done as described by ZeRO_.
2025-03-14T04:34:41.5358409Z     
2025-03-14T04:34:41.5358565Z     The local optimizer instance in each rank is only
2025-03-14T04:34:41.5358831Z     responsible for updating approximately ``1 / world_size`` parameters and
2025-03-14T04:34:41.5359042Z     hence only needs to keep ``1 / world_size`` optimizer states. After
2025-03-14T04:34:41.5359306Z     parameters are updated locally, each rank will broadcast its parameters to
2025-03-14T04:34:41.5359528Z     all other peers to keep all model replicas in the same state.
2025-03-14T04:34:41.5359743Z     ``ZeroRedundancyOptimizer`` can be used in conjunction with
2025-03-14T04:34:41.5360014Z     :class:`torch.nn.parallel.DistributedDataParallel` to reduce per-rank peak
2025-03-14T04:34:41.5360126Z     memory consumption.
2025-03-14T04:34:41.5360215Z     
2025-03-14T04:34:41.5360496Z     ``ZeroRedundancyOptimizer`` uses a sorted-greedy algorithm to pack a number
2025-03-14T04:34:41.5360738Z     of parameters at each rank. Each parameter belongs to a single rank and is
2025-03-14T04:34:41.5360999Z     not divided among ranks. The partition is arbitrary and might not match the
2025-03-14T04:34:41.5361138Z     the parameter registration or usage order.
2025-03-14T04:34:41.5361237Z     
2025-03-14T04:34:41.5361332Z     Arguments:
2025-03-14T04:34:41.5361544Z         params (``Iterable``): an ``Iterable`` of :class:`torch.Tensor` s
2025-03-14T04:34:41.5361745Z             or :class:`dict` s giving all parameters, which will be sharded
2025-03-14T04:34:41.5361859Z             across ranks.
2025-03-14T04:34:41.5361949Z     
2025-03-14T04:34:41.5362055Z     Keyword Args:
2025-03-14T04:34:41.5362289Z         optimizer_class (:class:`torch.nn.Optimizer`): the class of the local
2025-03-14T04:34:41.5362393Z             optimizer.
2025-03-14T04:34:41.5362619Z         process_group (``ProcessGroup``, optional): ``torch.distributed``
2025-03-14T04:34:41.5362833Z             ``ProcessGroup`` (default: ``dist.group.WORLD`` initialized by
2025-03-14T04:34:41.5362991Z             :meth:`torch.distributed.init_process_group`).
2025-03-14T04:34:41.5363239Z         parameters_as_bucket_view (bool, optional): if ``True``, parameters are
2025-03-14T04:34:41.5363459Z             packed into buckets to speed up communication, and ``param.data``
2025-03-14T04:34:41.5363679Z             fields point to bucket views at different offsets; if ``False``,
2025-03-14T04:34:41.5363922Z             each individual parameter is communicated separately, and each
2025-03-14T04:34:41.5364094Z             ``params.data`` stays intact (default: ``False``).
2025-03-14T04:34:41.5364293Z         overlap_with_ddp (bool, optional): if ``True``, :meth:`step` is
2025-03-14T04:34:41.5364512Z             overlapped with :class:`DistributedDataParallel` 's gradient
2025-03-14T04:34:41.5364735Z             synchronization; this requires (1) either a functional optimizer
2025-03-14T04:34:41.5364938Z             for the ``optimizer_class`` argument or one with a functional
2025-03-14T04:34:41.5365122Z             equivalent and (2) registering a DDP communication hook
2025-03-14T04:34:41.5365342Z             constructed from one of the functions in ``ddp_zero_hook.py``;
2025-03-14T04:34:41.5365517Z             parameters are packed into buckets matching those in
2025-03-14T04:34:41.5365698Z             :class:`DistributedDataParallel`, meaning that the
2025-03-14T04:34:41.5365856Z             ``parameters_as_bucket_view`` argument is ignored.
2025-03-14T04:34:41.5366096Z             If ``False``, :meth:`step` runs disjointly after the backward pass
2025-03-14T04:34:41.5366196Z             (per normal).
2025-03-14T04:34:41.5366316Z             (default: ``False``)
2025-03-14T04:34:41.5366535Z         **defaults: any trailing arguments, which are forwarded to the local
2025-03-14T04:34:41.5366645Z             optimizer.
2025-03-14T04:34:41.5366730Z     
2025-03-14T04:34:41.5366869Z     Example::
2025-03-14T04:34:41.5367172Z     
2025-03-14T04:34:41.5367296Z         >>> # xdoctest: +SKIP
2025-03-14T04:34:41.5367405Z         >>> import torch.nn as nn
2025-03-14T04:34:41.5367632Z         >>> from torch.distributed.optim import ZeroRedundancyOptimizer
2025-03-14T04:34:41.5367841Z         >>> from torch.nn.parallel import DistributedDataParallel as DDP
2025-03-14T04:34:41.5368092Z         >>> model = nn.Sequential(*[nn.Linear(2000, 2000).to(rank) for _ in range(20)])
2025-03-14T04:34:41.5368218Z         >>> ddp = DDP(model, device_ids=[rank])
2025-03-14T04:34:41.5368456Z         >>> opt = ZeroRedundancyOptimizer(
2025-03-14T04:34:41.5368566Z         >>>     ddp.parameters(),
2025-03-14T04:34:41.5368697Z         >>>     optimizer_class=torch.optim.Adam,
2025-03-14T04:34:41.5368804Z         >>>     lr=0.01
2025-03-14T04:34:41.5368894Z         >>> )
2025-03-14T04:34:41.5369021Z         >>> ddp(inputs).sum().backward()
2025-03-14T04:34:41.5369124Z         >>> opt.step()
2025-03-14T04:34:41.5369223Z     
2025-03-14T04:34:41.5369324Z     .. warning::
2025-03-14T04:34:41.5369554Z         Currently, ``ZeroRedundancyOptimizer`` requires that all of the
2025-03-14T04:34:41.5369709Z         passed-in parameters are the same dense type.
2025-03-14T04:34:41.5369809Z     
2025-03-14T04:34:41.5369907Z     .. warning::
2025-03-14T04:34:41.5370137Z         If you pass ``overlap_with_ddp=True``, be wary of the following: Given
2025-03-14T04:34:41.5370348Z         the way that overlapping :class:`DistributedDataParallel` with
2025-03-14T04:34:41.5370608Z         :class:`ZeroRedundancyOptimizer` is currently implemented, the first
2025-03-14T04:34:41.5370833Z         two or three training iterations do not perform parameter updates in
2025-03-14T04:34:41.5371041Z         the optimizer step, depending on if ``static_graph=False`` or
2025-03-14T04:34:41.5371233Z         ``static_graph=True``, respectively. This is because it needs
2025-03-14T04:34:41.5371439Z         information about the gradient bucketing strategy used by
2025-03-14T04:34:41.5371670Z         :class:`DistributedDataParallel`, which is not finalized until the
2025-03-14T04:34:41.5371889Z         second forward pass if ``static_graph=False`` or until the third
2025-03-14T04:34:41.5372105Z         forward pass if ``static_graph=True``. To adjust for this, one option
2025-03-14T04:34:41.5372231Z         is to prepend dummy inputs.
2025-03-14T04:34:41.5372321Z     
2025-03-14T04:34:41.5372596Z     .. warning:: ZeroRedundancyOptimizer is experimental and subject to change.
2025-03-14T04:34:41.5372688Z     
2025-03-14T04:34:41.5372884Z     .. _ZeRO: https://arxiv.org/abs/1910.02054
2025-03-14T04:34:41.5372972Z     
2025-03-14T04:34:41.5373070Z     
2025-03-14T04:34:41.5373333Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5373434Z     
2025-03-14T04:34:41.5373537Z       warnings.warn(msg)
2025-03-14T04:34:41.5373636Z     
2025-03-14T04:34:41.5373857Z --- Parse Warning: 74 / 116 ---
2025-03-14T04:34:41.5374881Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_CustomReducer in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/pipelining/microbatch.py line=28.
2025-03-14T04:34:41.5375154Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5375256Z     
2025-03-14T04:34:41.5375495Z     Custom reducer class that can be used to specify a custom operation that
2025-03-14T04:34:41.5375739Z     reduces losses of multiple microbatches into one value.
2025-03-14T04:34:41.5375826Z     
2025-03-14T04:34:41.5375935Z     Example:
2025-03-14T04:34:41.5376040Z     >>> # xdoctest: +SKIP
2025-03-14T04:34:41.5376173Z     >>> sum_reducer = _CustomReducer(
2025-03-14T04:34:41.5376279Z     >>>     torch.tensor(0.0),
2025-03-14T04:34:41.5376397Z     >>>     lambda a, b: a + b
2025-03-14T04:34:41.5376485Z     >>> )
2025-03-14T04:34:41.5376608Z     
2025-03-14T04:34:41.5376885Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5376972Z     
2025-03-14T04:34:41.5377089Z       warnings.warn(msg)
2025-03-14T04:34:41.5377177Z     
2025-03-14T04:34:41.5377380Z --- Parse Warning: 75 / 116 ---
2025-03-14T04:34:41.5378326Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=async_execution in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/rpc/functions.py line=6.
2025-03-14T04:34:41.5378646Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5378735Z     
2025-03-14T04:34:41.5378997Z     A decorator for a function indicating that the return value of the function
2025-03-14T04:34:41.5379215Z     is guaranteed to be a :class:`~torch.futures.Future` object and this
2025-03-14T04:34:41.5379489Z     function can run asynchronously on the RPC callee. More specifically, the
2025-03-14T04:34:41.5379738Z     callee extracts the :class:`~torch.futures.Future` returned by the wrapped
2025-03-14T04:34:41.5379998Z     function and installs subsequent processing steps as a callback to that
2025-03-14T04:34:41.5380242Z     :class:`~torch.futures.Future`. The installed callback will read the value
2025-03-14T04:34:41.5380469Z     from the :class:`~torch.futures.Future` when completed and send the
2025-03-14T04:34:41.5380661Z     value back as the RPC response. That also means the returned
2025-03-14T04:34:41.5380921Z     :class:`~torch.futures.Future` only exists on the callee side and is never
2025-03-14T04:34:41.5381156Z     sent through RPC. This decorator is useful when the wrapped function's
2025-03-14T04:34:41.5381375Z     (``fn``) execution needs to pause and resume due to, e.g., containing
2025-03-14T04:34:41.5381612Z     :meth:`~torch.distributed.rpc.rpc_async` or waiting for other signals.
2025-03-14T04:34:41.5381719Z     
2025-03-14T04:34:41.5381947Z     .. note:: To enable asynchronous execution, applications must pass the
2025-03-14T04:34:41.5382203Z         function object returned by this decorator to RPC APIs. If RPC detected
2025-03-14T04:34:41.5382434Z         attributes installed by this decorator, it knows that this function
2025-03-14T04:34:41.5382643Z         returns a ``Future`` object and will handle that accordingly.
2025-03-14T04:34:41.5382867Z         However, this does not mean this decorator has to be outmost one when
2025-03-14T04:34:41.5383118Z         defining a function. For example, when combined with ``@staticmethod``
2025-03-14T04:34:41.5383382Z         or ``@classmethod``, ``@rpc.functions.async_execution`` needs to be the
2025-03-14T04:34:41.5383617Z         inner decorator to allow the target function be recognized as a static
2025-03-14T04:34:41.5383868Z         or class function. This target function can still execute asynchronously
2025-03-14T04:34:41.5384108Z         because, when accessed, the static or class method preserves attributes
2025-03-14T04:34:41.5384285Z         installed by ``@rpc.functions.async_execution``.
2025-03-14T04:34:41.5384376Z     
2025-03-14T04:34:41.5384470Z     
2025-03-14T04:34:41.5384584Z     Example::
2025-03-14T04:34:41.5384794Z         The returned :class:`~torch.futures.Future` object can come from
2025-03-14T04:34:41.5384952Z         :meth:`~torch.distributed.rpc.rpc_async`,
2025-03-14T04:34:41.5385188Z         :meth:`~torch.futures.Future.then`, or :class:`~torch.futures.Future`
2025-03-14T04:34:41.5385387Z         constructor. The example below shows directly using the
2025-03-14T04:34:41.5385566Z         :class:`~torch.futures.Future` returned by
2025-03-14T04:34:41.5385712Z         :meth:`~torch.futures.Future.then`.
2025-03-14T04:34:41.5385800Z     
2025-03-14T04:34:41.5385943Z         >>> from torch.distributed import rpc
2025-03-14T04:34:41.5386034Z         >>>
2025-03-14T04:34:41.5386171Z         >>> # omitting setup and shutdown RPC
2025-03-14T04:34:41.5386264Z         >>>
2025-03-14T04:34:41.5386406Z         >>> # On all workers
2025-03-14T04:34:41.5386531Z         >>> @rpc.functions.async_execution
2025-03-14T04:34:41.5386666Z         >>> def async_add_chained(to, x, y, z):
2025-03-14T04:34:41.5386869Z         >>>     # This function runs on "worker1" and returns immediately when
2025-03-14T04:34:41.5387083Z         >>>     # the callback is installed through the `then(cb)` API. In the
2025-03-14T04:34:41.5387275Z         >>>     # mean time, the `rpc_async` to "worker2" can run concurrently.
2025-03-14T04:34:41.5387456Z         >>>     # When the return value of that `rpc_async` arrives at
2025-03-14T04:34:41.5387683Z         >>>     # "worker1", "worker1" will run the lambda function accordingly
2025-03-14T04:34:41.5387890Z         >>>     # and set the value for the previously returned `Future`, which
2025-03-14T04:34:41.5388082Z         >>>     # will then trigger RPC to send the result back to "worker0".
2025-03-14T04:34:41.5388271Z         >>>     return rpc.rpc_async(to, torch.add, args=(x, y)).then(
2025-03-14T04:34:41.5388393Z         >>>         lambda fut: fut.wait() + z
2025-03-14T04:34:41.5388496Z         >>>     )
2025-03-14T04:34:41.5388586Z         >>>
2025-03-14T04:34:41.5388695Z         >>> # On worker0
2025-03-14T04:34:41.5388801Z         >>> # xdoctest: +SKIP
2025-03-14T04:34:41.5388916Z         >>> ret = rpc.rpc_sync(
2025-03-14T04:34:41.5389015Z         >>>     "worker1",
2025-03-14T04:34:41.5389134Z         >>>     async_add_chained,
2025-03-14T04:34:41.5389265Z         >>>     args=("worker2", torch.ones(2), 1, 1)
2025-03-14T04:34:41.5389371Z         >>> )
2025-03-14T04:34:41.5389500Z         >>> print(ret)  # prints tensor([3., 3.])
2025-03-14T04:34:41.5389603Z     
2025-03-14T04:34:41.5389840Z         When combined with TorchScript decorators, this decorator must be the
2025-03-14T04:34:41.5389951Z         outmost one.
2025-03-14T04:34:41.5390044Z     
2025-03-14T04:34:41.5390172Z         >>> from torch import Tensor
2025-03-14T04:34:41.5390300Z         >>> from torch.futures import Future
2025-03-14T04:34:41.5390429Z         >>> from torch.distributed import rpc
2025-03-14T04:34:41.5390535Z         >>>
2025-03-14T04:34:41.5390660Z         >>> # omitting setup and shutdown RPC
2025-03-14T04:34:41.5390762Z         >>>
2025-03-14T04:34:41.5390865Z         >>> # On all workers
2025-03-14T04:34:41.5390985Z         >>> @torch.jit.script
2025-03-14T04:34:41.5391140Z         >>> def script_add(x: Tensor, y: Tensor) -> Tensor:
2025-03-14T04:34:41.5391253Z         >>>     return x + y
2025-03-14T04:34:41.5391342Z         >>>
2025-03-14T04:34:41.5391481Z         >>> @rpc.functions.async_execution
2025-03-14T04:34:41.5391612Z         >>> @torch.jit.script
2025-03-14T04:34:41.5391823Z         >>> def async_add(to: str, x: Tensor, y: Tensor) -> Future[Tensor]:
2025-03-14T04:34:41.5391974Z         >>>     return rpc.rpc_async(to, script_add, (x, y))
2025-03-14T04:34:41.5392077Z         >>>
2025-03-14T04:34:41.5392176Z         >>> # On worker0
2025-03-14T04:34:41.5392297Z         >>> ret = rpc.rpc_sync(
2025-03-14T04:34:41.5392399Z         >>>     "worker1",
2025-03-14T04:34:41.5392510Z         >>>     async_add,
2025-03-14T04:34:41.5392636Z         >>>     args=("worker2", torch.ones(2), 1)
2025-03-14T04:34:41.5392738Z         >>> )
2025-03-14T04:34:41.5392865Z         >>> print(ret)  # prints tensor([2., 2.])
2025-03-14T04:34:41.5392966Z     
2025-03-14T04:34:41.5393197Z         When combined with static or class method, this decorator must be the
2025-03-14T04:34:41.5393306Z         inner one.
2025-03-14T04:34:41.5393396Z     
2025-03-14T04:34:41.5393571Z         >>> from torch.distributed import rpc
2025-03-14T04:34:41.5393665Z         >>>
2025-03-14T04:34:41.5393803Z         >>> # omitting setup and shutdown RPC
2025-03-14T04:34:41.5393894Z         >>>
2025-03-14T04:34:41.5393998Z         >>> # On all workers
2025-03-14T04:34:41.5394134Z         >>> class AsyncExecutionClass:
2025-03-14T04:34:41.5394224Z         >>>
2025-03-14T04:34:41.5394343Z         >>>     @staticmethod
2025-03-14T04:34:41.5394495Z         >>>     @rpc.functions.async_execution
2025-03-14T04:34:41.5394636Z         >>>     def static_async_add(to, x, y, z):
2025-03-14T04:34:41.5394817Z         >>>         return rpc.rpc_async(to, torch.add, args=(x, y)).then(
2025-03-14T04:34:41.5394951Z         >>>             lambda fut: fut.wait() + z
2025-03-14T04:34:41.5395043Z         >>>         )
2025-03-14T04:34:41.5395238Z         >>>
2025-03-14T04:34:41.5395342Z         >>>     @classmethod
2025-03-14T04:34:41.5395486Z         >>>     @rpc.functions.async_execution
2025-03-14T04:34:41.5395660Z         >>>     def class_async_add(cls, to, x, y, z):
2025-03-14T04:34:41.5395808Z         >>>         ret_fut = torch.futures.Future()
2025-03-14T04:34:41.5395965Z         >>>         rpc.rpc_async(to, torch.add, args=(x, y)).then(
2025-03-14T04:34:41.5396139Z         >>>             lambda fut: ret_fut.set_result(fut.wait() + z)
2025-03-14T04:34:41.5396233Z         >>>         )
2025-03-14T04:34:41.5396351Z         >>>         return ret_fut
2025-03-14T04:34:41.5396441Z         >>>
2025-03-14T04:34:41.5396579Z         >>>     @rpc.functions.async_execution
2025-03-14T04:34:41.5396711Z         >>>     def bound_async_add(self, to, x, y, z):
2025-03-14T04:34:41.5396903Z         >>>         return rpc.rpc_async(to, torch.add, args=(x, y)).then(
2025-03-14T04:34:41.5397026Z         >>>             lambda fut: fut.wait() + z
2025-03-14T04:34:41.5397136Z         >>>         )
2025-03-14T04:34:41.5397228Z         >>>
2025-03-14T04:34:41.5397339Z         >>> # On worker0
2025-03-14T04:34:41.5397452Z         >>> ret = rpc.rpc_sync(
2025-03-14T04:34:41.5397565Z         >>>     "worker1",
2025-03-14T04:34:41.5397713Z         >>>     AsyncExecutionClass.static_async_add,
2025-03-14T04:34:41.5397853Z         >>>     args=("worker2", torch.ones(2), 1, 2)
2025-03-14T04:34:41.5397945Z         >>> )
2025-03-14T04:34:41.5398084Z         >>> print(ret)  # prints tensor([4., 4.])
2025-03-14T04:34:41.5398177Z         >>>
2025-03-14T04:34:41.5398297Z         >>> ret = rpc.rpc_sync(
2025-03-14T04:34:41.5398396Z         >>>     "worker1",
2025-03-14T04:34:41.5398537Z         >>>     AsyncExecutionClass.class_async_add,
2025-03-14T04:34:41.5398674Z         >>>     args=("worker2", torch.ones(2), 1, 2)
2025-03-14T04:34:41.5398764Z         >>> )
2025-03-14T04:34:41.5398902Z         >>> print(ret)  # prints tensor([4., 4.])
2025-03-14T04:34:41.5398988Z     
2025-03-14T04:34:41.5399171Z         This decorator also works with RRef helpers, i.e., .
2025-03-14T04:34:41.5399322Z         :meth:`torch.distributed.rpc.RRef.rpc_sync`,
2025-03-14T04:34:41.5399531Z         :meth:`torch.distributed.rpc.RRef.rpc_async`, and
2025-03-14T04:34:41.5399682Z         :meth:`torch.distributed.rpc.RRef.remote`.
2025-03-14T04:34:41.5399781Z     
2025-03-14T04:34:41.5399909Z         >>> from torch.distributed import rpc
2025-03-14T04:34:41.5400012Z         >>>
2025-03-14T04:34:41.5400156Z         >>> # reuse the AsyncExecutionClass class above
2025-03-14T04:34:41.5400332Z         >>> rref = rpc.remote("worker1", AsyncExecutionClass)
2025-03-14T04:34:41.5400549Z         >>> ret = rref.rpc_sync().static_async_add("worker2", torch.ones(2), 1, 2)
2025-03-14T04:34:41.5400690Z         >>> print(ret)  # prints tensor([4., 4.])
2025-03-14T04:34:41.5400780Z         >>>
2025-03-14T04:34:41.5400952Z         >>> rref = rpc.remote("worker1", AsyncExecutionClass)
2025-03-14T04:34:41.5401196Z         >>> ret = rref.rpc_async().static_async_add("worker2", torch.ones(2), 1, 2).wait()
2025-03-14T04:34:41.5401335Z         >>> print(ret)  # prints tensor([4., 4.])
2025-03-14T04:34:41.5401454Z         >>>
2025-03-14T04:34:41.5401630Z         >>> rref = rpc.remote("worker1", AsyncExecutionClass)
2025-03-14T04:34:41.5401874Z         >>> ret = rref.remote().static_async_add("worker2", torch.ones(2), 1, 2).to_here()
2025-03-14T04:34:41.5402015Z         >>> print(ret)  # prints tensor([4., 4.])
2025-03-14T04:34:41.5402103Z     
2025-03-14T04:34:41.5402491Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5402582Z     
2025-03-14T04:34:41.5402703Z       warnings.warn(msg)
2025-03-14T04:34:41.5402790Z     
2025-03-14T04:34:41.5403021Z --- Parse Warning: 76 / 116 ---
2025-03-14T04:34:41.5404123Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=TensorPipeRpcBackendOptions.set_device_map in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/rpc/options.py line=108.
2025-03-14T04:34:41.5404408Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5404528Z     
2025-03-14T04:34:41.5404757Z     Set device mapping between each RPC caller and callee pair. This
2025-03-14T04:34:41.5404949Z     function can be called multiple times to incrementally add
2025-03-14T04:34:41.5405085Z     device placement configurations.
2025-03-14T04:34:41.5405174Z     
2025-03-14T04:34:41.5405278Z     Args:
2025-03-14T04:34:41.5405387Z         to (str): Callee name.
2025-03-14T04:34:41.5405606Z         device_map (Dict of int, str, or torch.device): Device placement
2025-03-14T04:34:41.5405799Z             mappings from this worker to the callee. This map must be
2025-03-14T04:34:41.5405910Z             invertible.
2025-03-14T04:34:41.5405998Z     
2025-03-14T04:34:41.5406103Z     Example:
2025-03-14T04:34:41.5406228Z         >>> # xdoctest: +SKIP("distributed")
2025-03-14T04:34:41.5406333Z         >>> # both workers
2025-03-14T04:34:41.5406446Z         >>> def add(x, y):
2025-03-14T04:34:41.5406596Z         >>>     print(x)  # tensor([1., 1.], device='cuda:1')
2025-03-14T04:34:41.5406729Z         >>>     return x + y, (x + y).to(2)
2025-03-14T04:34:41.5406822Z         >>>
2025-03-14T04:34:41.5406935Z         >>> # on worker 0
2025-03-14T04:34:41.5407083Z         >>> options = TensorPipeRpcBackendOptions(
2025-03-14T04:34:41.5407211Z         >>>     num_worker_threads=8,
2025-03-14T04:34:41.5407334Z         >>>     device_maps={"worker1": {0: 1}}
2025-03-14T04:34:41.5407489Z         >>> # maps worker0's cuda:0 to worker1's cuda:1
2025-03-14T04:34:41.5407583Z         >>> )
2025-03-14T04:34:41.5407737Z         >>> options.set_device_map("worker1", {1: 2})
2025-03-14T04:34:41.5407875Z         >>> # maps worker0's cuda:1 to worker1's cuda:2
2025-03-14T04:34:41.5407982Z         >>>
2025-03-14T04:34:41.5408089Z         >>> rpc.init_rpc(
2025-03-14T04:34:41.5408206Z         >>>     "worker0",
2025-03-14T04:34:41.5408305Z         >>>     rank=0,
2025-03-14T04:34:41.5408423Z         >>>     world_size=2,
2025-03-14T04:34:41.5408596Z         >>>     backend=rpc.BackendType.TENSORPIPE,
2025-03-14T04:34:41.5408734Z         >>>     rpc_backend_options=options
2025-03-14T04:34:41.5408826Z         >>> )
2025-03-14T04:34:41.5408931Z         >>>
2025-03-14T04:34:41.5409036Z         >>> x = torch.ones(2)
2025-03-14T04:34:41.5409223Z         >>> rets = rpc.rpc_sync("worker1", add, args=(x.to(0), 1))
2025-03-14T04:34:41.5409421Z         >>> # The first argument will be moved to cuda:1 on worker1. When
2025-03-14T04:34:41.5409630Z         >>> # sending the return value back, it will follow the invert of
2025-03-14T04:34:41.5409816Z         >>> # the device map, and hence will be moved back to cuda:0 and
2025-03-14T04:34:41.5409935Z         >>> # cuda:1 on worker0
2025-03-14T04:34:41.5410094Z         >>> print(rets[0])  # tensor([2., 2.], device='cuda:0')
2025-03-14T04:34:41.5410259Z         >>> print(rets[1])  # tensor([2., 2.], device='cuda:1')
2025-03-14T04:34:41.5410349Z     
2025-03-14T04:34:41.5410627Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5410748Z     
2025-03-14T04:34:41.5410864Z       warnings.warn(msg)
2025-03-14T04:34:41.5410954Z     
2025-03-14T04:34:41.5411154Z --- Parse Warning: 77 / 116 ---
2025-03-14T04:34:41.5412325Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_server_process_global_profile in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/rpc/server_process_global_profiler.py line=19.
2025-03-14T04:34:41.5412609Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5412700Z     
2025-03-14T04:34:41.5412920Z     It has the same API as ``torch.autograd.profiler.profile`` class,
2025-03-14T04:34:41.5413208Z     except that it enables profiling on all threads running RPC server request callbacks.
2025-03-14T04:34:41.5413309Z     
2025-03-14T04:34:41.5413600Z     Context manager that manages autograd profiler state and holds a summary of results.
2025-03-14T04:34:41.5413886Z     Under the hood it just records events of functions being executed in C++ and
2025-03-14T04:34:41.5414129Z     exposes those events to Python. You can wrap any code into it and it will
2025-03-14T04:34:41.5414275Z     only report runtime of PyTorch functions.
2025-03-14T04:34:41.5414553Z     Note: profiler is thread local and is automatically propagated into the async tasks
2025-03-14T04:34:41.5414654Z     
2025-03-14T04:34:41.5414745Z     Args:
2025-03-14T04:34:41.5415033Z         enabled (bool, optional): Setting this to False makes this context manager a no-op.
2025-03-14T04:34:41.5415139Z             Default: ``True``.
2025-03-14T04:34:41.5415228Z     
2025-03-14T04:34:41.5415538Z         use_cuda (bool, optional): Enables timing of CUDA events as well using the cudaEvent API.
2025-03-14T04:34:41.5415745Z             Adds approximately 4us of overhead to each tensor operation.
2025-03-14T04:34:41.5415868Z             Default: ``False``
2025-03-14T04:34:41.5415961Z     
2025-03-14T04:34:41.5416211Z         record_shapes (bool, optional): If shapes recording is set, information
2025-03-14T04:34:41.5416448Z             about input dimensions will be collected. This allows one to see which
2025-03-14T04:34:41.5416683Z             dimensions have been used under the hood and further group by them
2025-03-14T04:34:41.5416912Z             using prof.key_averages(group_by_input_shape=True). Please note that
2025-03-14T04:34:41.5417158Z             shape recording might skew your profiling data. It is recommended to
2025-03-14T04:34:41.5417402Z             use separate runs with and without shape recording to validate the timing.
2025-03-14T04:34:41.5417652Z             Most likely the skew will be negligible for bottom most events (in a case
2025-03-14T04:34:41.5417874Z             of nested function calls). But for higher level functions the total
2025-03-14T04:34:41.5418098Z             self cpu time might be artificially increased because of the shape
2025-03-14T04:34:41.5418224Z             collection.
2025-03-14T04:34:41.5418326Z     
2025-03-14T04:34:41.5418605Z         profile_memory (bool, optional): Whether to report memory usage, default: ``False``
2025-03-14T04:34:41.5418713Z     
2025-03-14T04:34:41.5418807Z     .. warning:
2025-03-14T04:34:41.5419034Z         Enabling memory profiling incurs additional profiler overhead
2025-03-14T04:34:41.5419121Z     
2025-03-14T04:34:41.5419226Z     .. warning:
2025-03-14T04:34:41.5419483Z         Due to some CUDA multiprocessing limitations (multiprocessing-cuda-note_),
2025-03-14T04:34:41.5419701Z         one cannot use the profiler with ``use_cuda = True`` to benchmark
2025-03-14T04:34:41.5419948Z         DataLoaders with ``num_workers > 0``. If you wish to benchmark data loading,
2025-03-14T04:34:41.5420131Z         please use ``use_cuda = False`` or ``num_workers = 0``.
2025-03-14T04:34:41.5420219Z     
2025-03-14T04:34:41.5420323Z     Example:
2025-03-14T04:34:41.5420430Z         >>> # xdoctest: +SKIP
2025-03-14T04:34:41.5420575Z         >>> # On worker 0:
2025-03-14T04:34:41.5420675Z         >>> import torch
2025-03-14T04:34:41.5420823Z         >>> import torch.distributed.rpc as rpc
2025-03-14T04:34:41.5420971Z         >>> rpc.init_rpc("worker0", rank=0, world_size=2)
2025-03-14T04:34:41.5421116Z         >>> x, y = torch.tensor(1), torch.tensor(2)
2025-03-14T04:34:41.5421239Z         >>> outer_profile_rref = rpc.remote(
2025-03-14T04:34:41.5421449Z         ...     dst_worker_name, rpc._server_process_global_profile
2025-03-14T04:34:41.5421542Z         ... )
2025-03-14T04:34:41.5421693Z         >>> outer_profile_rref.rpc_sync().__enter__()
2025-03-14T04:34:41.5421851Z         >>> rpc.rpc_sync(dst_worker_name, torch.add, (x, y))
2025-03-14T04:34:41.5421988Z         >>> inner_profile_rref = rpc.remote(
2025-03-14T04:34:41.5422158Z         ...     dst_worker_name, rpc._server_process_global_profile
2025-03-14T04:34:41.5422261Z         ... )
2025-03-14T04:34:41.5422400Z         >>> inner_profile_rref.rpc_sync().__enter__()
2025-03-14T04:34:41.5422598Z         >>> rpc.rpc_sync(dst_worker_name, torch.sub, (x, y))
2025-03-14T04:34:41.5422781Z         >>> inner_profile_rref.rpc_sync().__exit__(None, None, None)
2025-03-14T04:34:41.5422975Z         >>> outer_profile_rref.rpc_sync().__exit__(None, None, None)
2025-03-14T04:34:41.5423147Z         >>> print(inner_profile_rref.rpc_sync().key_averages())
2025-03-14T04:34:41.5423407Z         ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-03-14T04:34:41.5423729Z         Name       Self CPU total %  Self CPU total   CPU total %      CPU total        CPU time avg     Number of Calls
2025-03-14T04:34:41.5423979Z         ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-03-14T04:34:41.5424176Z         sub        85.06%           76.275us         100.00%          89.667us         89.667us         1
2025-03-14T04:34:41.5424392Z         empty      14.94%           13.392us         14.94%           13.392us         13.392us         1
2025-03-14T04:34:41.5424629Z         ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-03-14T04:34:41.5424759Z         Self CPU time total: 89.667us
2025-03-14T04:34:41.5424930Z         >>> print(outer_profile_rref.rpc_sync().key_averages())
2025-03-14T04:34:41.5425173Z         ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-03-14T04:34:41.5425487Z         Name       Self CPU total %  Self CPU total   CPU total %      CPU total        CPU time avg     Number of Calls
2025-03-14T04:34:41.5425729Z         ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-03-14T04:34:41.5425920Z         sub        35.65%           76.275us         41.91%           89.667us         89.667us         1
2025-03-14T04:34:41.5426154Z         empty      12.67%           27.101us         12.67%           27.101us         13.551us         2
2025-03-14T04:34:41.5426343Z         add        51.68%           110.550us        58.09%           124.259us        124.259us        1
2025-03-14T04:34:41.5426587Z         ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-03-14T04:34:41.5426706Z         Self CPU time total: 213.926us
2025-03-14T04:34:41.5426826Z         >>> rpc.shutdown()
2025-03-14T04:34:41.5426914Z     
2025-03-14T04:34:41.5427026Z         >>> # On worker 1:
2025-03-14T04:34:41.5427162Z         >>> import torch.distributed.rpc as rpc
2025-03-14T04:34:41.5427323Z         >>> rpc.init_rpc("worker1", rank=1, world_size=2)
2025-03-14T04:34:41.5427491Z         >>> # wait for worker 0 to finish work, and then shutdown.
2025-03-14T04:34:41.5427606Z         >>> rpc.shutdown()
2025-03-14T04:34:41.5427693Z     
2025-03-14T04:34:41.5427970Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5428087Z     
2025-03-14T04:34:41.5428205Z       warnings.warn(msg)
2025-03-14T04:34:41.5428294Z     
2025-03-14T04:34:41.5428511Z --- Parse Warning: 78 / 116 ---
2025-03-14T04:34:41.5429561Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=local_map in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/experimental/_func_map.py line=34.
2025-03-14T04:34:41.5429851Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5429940Z     
2025-03-14T04:34:41.5430228Z     :meth:`local_map` is an experimental API that allows users to pass :class:`DTensor` s
2025-03-14T04:34:41.5430518Z     to a function that is written to be applied on ``torch.Tensor`` s. It is done by extracting
2025-03-14T04:34:41.5430808Z     the local components of :class:`DTensor`, call the function, and wrap the outputs to
2025-03-14T04:34:41.5431008Z     :class:`DTensor` according to the ``out_placements``.
2025-03-14T04:34:41.5431110Z     
2025-03-14T04:34:41.5431200Z     Args:
2025-03-14T04:34:41.5431428Z         func (Callable): the function to be applied on each local shard of
2025-03-14T04:34:41.5431536Z             :class:`DTensor` s.
2025-03-14T04:34:41.5431784Z         out_placements (Union[`PlacementType`, Tuple[`PlacementType`, ...]]):
2025-03-14T04:34:41.5432051Z             the desired placements of the :class:`DTensor` s in ``func``'s flattened output.
2025-03-14T04:34:41.5432315Z             If the flattened ``output`` is a single value, the ``out_placements`` should be
2025-03-14T04:34:41.5432568Z             of type `PlacementType`. Otherwise if the flattened ``output`` has multiple
2025-03-14T04:34:41.5432837Z             values, the ``out_placements`` should be a tuple of `PlacementType` values 1:1
2025-03-14T04:34:41.5432972Z             mapping to the flattened ``output``.
2025-03-14T04:34:41.5433204Z             Besides, for :class:`Tensor` output, we use `PlacementType` as its
2025-03-14T04:34:41.5433488Z             placements (a `Tuple[Placement]` value). For non-Tensor output, the `PlacementType`
2025-03-14T04:34:41.5433606Z             should be `None`.
2025-03-14T04:34:41.5433854Z             Note that the only exception is when no :class:`DTensor` argument is passed
2025-03-14T04:34:41.5434100Z             in. In this case, even if `out_placements` is not `None`, the result function
2025-03-14T04:34:41.5434366Z             should ignore the desired placements because the function is not running with
2025-03-14T04:34:41.5434484Z             :class:`DTensor` s.
2025-03-14T04:34:41.5434664Z         in_placements (Tuple[`PlacementType`, ...], optional):
2025-03-14T04:34:41.5434967Z             the required placements of the :class:`DTensor` s in the flattened inputs of ``func``.
2025-03-14T04:34:41.5435283Z             If ``in_placements`` is specified, :meth:`local_map` would examine whether the
2025-03-14T04:34:41.5435576Z             placements of each :class:`DTensor` argument is the same as the required
2025-03-14T04:34:41.5435771Z             placements or not. If the placements are not the same and
2025-03-14T04:34:41.5436038Z             ``redistribute_inputs`` is ``False``, an exception will be raised. Otherwise if
2025-03-14T04:34:41.5436290Z             ``redistribute_inputs`` is ``True``, the argument will be first redistributed to
2025-03-14T04:34:41.5436576Z             the required sharding placements before passing its local tensor to ``func``.
2025-03-14T04:34:41.5436809Z             The only exception is when required placements are not ``None`` and the
2025-03-14T04:34:41.5437071Z             argument is a :class:`torch.Tensor`. In this case, the placements examination
2025-03-14T04:34:41.5437297Z             will be skipped and the argument will be directly passed to ``func``.
2025-03-14T04:34:41.5437542Z             If ``in_placements`` is ``None``, no placements examination will be performed.
2025-03-14T04:34:41.5437836Z             Default: None
2025-03-14T04:34:41.5438058Z         device_mesh (:class:`DeviceMesh`, optional):
2025-03-14T04:34:41.5438295Z             the device mesh that all the :class:`DTensor` s are placed on. If not
2025-03-14T04:34:41.5438556Z             specified, this will be inferred from the input :class:`DTensor` s' device
2025-03-14T04:34:41.5438844Z             mesh. `local_map` requires every :class:`DTensor` s to be placed on the same
2025-03-14T04:34:41.5438978Z             device mesh. Default: None.
2025-03-14T04:34:41.5439117Z         redistribute_inputs (bool, optional):
2025-03-14T04:34:41.5439395Z             the bool value indicating whether to reshard the input :class:`DTensor` s when
2025-03-14T04:34:41.5439654Z             their placements are different from the required input placements. If this
2025-03-14T04:34:41.5439905Z             value is ``False`` and some :class:`DTensor` input has a different placement,
2025-03-14T04:34:41.5440055Z             an exception will be raised. Default: False.
2025-03-14T04:34:41.5440187Z     
2025-03-14T04:34:41.5440284Z     Returns:
2025-03-14T04:34:41.5440565Z         A ``Callable`` that applies ``func`` to each local shard of the input :class:`DTensor`
2025-03-14T04:34:41.5440817Z         and returns a :class:`DTensor` constructed from the return value of ``func``.
2025-03-14T04:34:41.5440921Z     
2025-03-14T04:34:41.5441015Z     Raises:
2025-03-14T04:34:41.5441290Z         AssertionError: If the input :class:`DTensor` is not placed on the same device
2025-03-14T04:34:41.5441539Z             mesh, or if they are placed on a different device mesh than the ``device_mesh``
2025-03-14T04:34:41.5441667Z             argument passed in.
2025-03-14T04:34:41.5441756Z     
2025-03-14T04:34:41.5442023Z         AssertionError: For any non-DTensor output, we require its corresponding
2025-03-14T04:34:41.5442293Z             output placement in ``out_placements`` be None. An AssertionError will be raised
2025-03-14T04:34:41.5442422Z             if this is not the case.
2025-03-14T04:34:41.5442514Z     
2025-03-14T04:34:41.5442807Z         ValueError: If ``redistribute_inputs=False`` but the input :class:`DTensor` needs
2025-03-14T04:34:41.5442971Z             a redistribution according to ``in_placements``.
2025-03-14T04:34:41.5443076Z     
2025-03-14T04:34:41.5443172Z     Example:
2025-03-14T04:34:41.5443313Z         >>> # xdoctest: +SKIP("distributed")
2025-03-14T04:34:41.5443463Z         >>> def mm_allreduce_forward(device_mesh, W, X):
2025-03-14T04:34:41.5443610Z         >>>     partial_sum_tensor = torch.mm(W, X)
2025-03-14T04:34:41.5443866Z         >>>     reduced_tensor = funcol.all_reduce(partial_sum_tensor, "sum", device_mesh)
2025-03-14T04:34:41.5443996Z         >>>     return reduced_tensor
2025-03-14T04:34:41.5444087Z         >>>
2025-03-14T04:34:41.5444239Z         >>> W = torch.randn(12, 8, requires_grad=False)
2025-03-14T04:34:41.5444375Z         >>> X = torch.randn(8, 16, requires_grad=False)
2025-03-14T04:34:41.5444498Z         >>> Y = torch.mm(W, X)
2025-03-14T04:34:41.5444726Z         >>> row_wise = [Shard(0)]  # row-wise sharding placements on 1-d mesh
2025-03-14T04:34:41.5444933Z         >>> col_wise = [Shard(1)]  # col-wise sharding placements on 1-d mesh
2025-03-14T04:34:41.5445025Z         >>>
2025-03-14T04:34:41.5445308Z         >>> # local_mm_allreduce_forward is the function wrapped with DTensor/Tensor convertion
2025-03-14T04:34:41.5445461Z         >>> local_mm_allreduce_forward = local_map(
2025-03-14T04:34:41.5445576Z         >>>     mm_allreduce_forward,
2025-03-14T04:34:41.5445716Z         >>>     out_placements=[Replicate()],
2025-03-14T04:34:41.5445846Z         >>>     in_placements=[col_wise, row_wise],
2025-03-14T04:34:41.5445976Z         >>>     device_mesh=device_mesh,
2025-03-14T04:34:41.5446066Z         >>> )
2025-03-14T04:34:41.5446166Z         >>>
2025-03-14T04:34:41.5446278Z         >>> W_dt = distribute_tensor(
2025-03-14T04:34:41.5446404Z         ...     W, device_mesh, (col_wise)
2025-03-14T04:34:41.5446556Z         ... )  # col-wisely sharded W tensor
2025-03-14T04:34:41.5446680Z         >>> X_dt = distribute_tensor(
2025-03-14T04:34:41.5446793Z         ...     X, device_mesh, (row_wise)
2025-03-14T04:34:41.5446924Z         ... )  # row-wisely sharded X tensor
2025-03-14T04:34:41.5447046Z         >>> Y_dt = local_mm_allreduce_forward(
2025-03-14T04:34:41.5447169Z         ...     device_mesh, W_dt, X_dt
2025-03-14T04:34:41.5447352Z         ... )  # apply local_mm_allreduce_forward to DTensors
2025-03-14T04:34:41.5447453Z     
2025-03-14T04:34:41.5447667Z     .. note:: This API is currently experimental and subject to change
2025-03-14T04:34:41.5447767Z     
2025-03-14T04:34:41.5448031Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5448129Z     
2025-03-14T04:34:41.5448235Z       warnings.warn(msg)
2025-03-14T04:34:41.5448334Z     
2025-03-14T04:34:41.5448559Z --- Parse Warning: 79 / 116 ---
2025-03-14T04:34:41.5449695Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=register_sharding in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/experimental/_register_sharding.py line=26.
2025-03-14T04:34:41.5450001Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5450105Z     
2025-03-14T04:34:41.5450400Z     :meth:`register_sharding` is an experimental API that allows users to register sharding
2025-03-14T04:34:41.5450665Z     strategies for an operator when the tensor inputs and outputs are DTensor.
2025-03-14T04:34:41.5450929Z     It can be useful when: (1) there doesn't exist a default sharding strategy for ``op``,
2025-03-14T04:34:41.5451193Z     e.g. when ``op`` is a custom operator that is not supported by :class:`DTensor`; (2)
2025-03-14T04:34:41.5451478Z     when users would like to overwrite default sharding strategies of existing operators.
2025-03-14T04:34:41.5451583Z     
2025-03-14T04:34:41.5451677Z     Args:
2025-03-14T04:34:41.5451833Z         op (Union[OpOverload, List[OpOverload]]):
2025-03-14T04:34:41.5452040Z             An op or a list of ops to register the customized sharding function.
2025-03-14T04:34:41.5452139Z     
2025-03-14T04:34:41.5452231Z     Returns:
2025-03-14T04:34:41.5452521Z         A function decorator which can be used to wrap a function that defines the sharding
2025-03-14T04:34:41.5452806Z         strategy for the operator specified in ``op``. The defined sharding strategy will be
2025-03-14T04:34:41.5453102Z         registered to DTensor and will override the default sharding strategy if DTensor has
2025-03-14T04:34:41.5453417Z         already implemented the operator. The customized sharding function takes the same inputs
2025-03-14T04:34:41.5453766Z         as the original op (except that if an arg is a :class:`torch.Tensor`, it will be
2025-03-14T04:34:41.5454074Z         replaced by a tensor-like object that DTensor uses internally). The function should
2025-03-14T04:34:41.5454411Z         return a sequence of 2-tuples, each specifying acceptable output placements and its
2025-03-14T04:34:41.5454542Z         corresponding intput placements.
2025-03-14T04:34:41.5454645Z     
2025-03-14T04:34:41.5454739Z     Example:
2025-03-14T04:34:41.5454878Z         >>> # xdoctest: +SKIP("distributed")
2025-03-14T04:34:41.5455023Z         >>> @register_sharding(aten._softmax.default)
2025-03-14T04:34:41.5455203Z         >>> def custom_softmax_sharding(x, dim, half_to_float):
2025-03-14T04:34:41.5455358Z         >>>     softmax_dim = dim if dim >= 0 else dim + x.ndim
2025-03-14T04:34:41.5455491Z         >>>     acceptable_shardings = []
2025-03-14T04:34:41.5455582Z         >>>
2025-03-14T04:34:41.5455789Z         >>>     all_replicate = ([Replicate()], [Replicate(), None, None])
2025-03-14T04:34:41.5455944Z         >>>     acceptable_shardings.append(all_replicate)
2025-03-14T04:34:41.5456052Z         >>>
2025-03-14T04:34:41.5456180Z         >>>     for sharding_dim in range(x.ndim):
2025-03-14T04:34:41.5456349Z         >>>         if sharding_dim != softmax_dim:
2025-03-14T04:34:41.5456459Z         >>>             all_sharded = (
2025-03-14T04:34:41.5456591Z         >>>                 [Shard(sharding_dim)],
2025-03-14T04:34:41.5456724Z         >>>                 [Shard(sharding_dim), None, None],
2025-03-14T04:34:41.5456836Z         >>>             )
2025-03-14T04:34:41.5457013Z         >>>             acceptable_shardings.append(all_sharded)
2025-03-14T04:34:41.5457105Z         >>>
2025-03-14T04:34:41.5457237Z         >>>     return acceptable_shardings
2025-03-14T04:34:41.5457324Z     
2025-03-14T04:34:41.5457546Z     .. note:: This API is currently experimental and subject to change
2025-03-14T04:34:41.5457635Z     
2025-03-14T04:34:41.5457908Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5457998Z     
2025-03-14T04:34:41.5458116Z       warnings.warn(msg)
2025-03-14T04:34:41.5458206Z     
2025-03-14T04:34:41.5458458Z --- Parse Warning: 80 / 116 ---
2025-03-14T04:34:41.5459507Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=PrepareModuleInput in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/style.py line=403.
2025-03-14T04:34:41.5459795Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5459885Z     
2025-03-14T04:34:41.5460294Z     Configure the nn.Module's inputs to convert the input tensors of the nn.Module to DTensors at runtime according to
2025-03-14T04:34:41.5460630Z     ``input_layouts``, and perform layout redistribution according to the ``desired_input_layouts``.
2025-03-14T04:34:41.5460733Z     
2025-03-14T04:34:41.5460830Z     Keyword Args:
2025-03-14T04:34:41.5461055Z         input_layouts (Union[Placement, Tuple[Optional[Placement]]]):
2025-03-14T04:34:41.5461397Z             The DTensor layouts of input tensors for the nn.Module, this is used to convert the input tensors to
2025-03-14T04:34:41.5461786Z             DTensors. If some inputs are not torch.Tensor or no need to convert to DTensors, ``None`` need to be specified
2025-03-14T04:34:41.5461913Z             as a placeholder. default: None.
2025-03-14T04:34:41.5462167Z         desired_input_layouts (Union[Placement, Tuple[Optional[Placement]]]):
2025-03-14T04:34:41.5462560Z             The desired DTensor layout of input tensors for the nn.Module, this is used to ensure the inputs of the nn.Module
2025-03-14T04:34:41.5462978Z             have the desired DTensor layouts. This argument needs to have the same length with ``input_layouts``. default: None.
2025-03-14T04:34:41.5463120Z         input_kwarg_layouts (Dict[str, Placement]):
2025-03-14T04:34:41.5463520Z             The DTensor layouts of input kwargs for the nn.Module, this is used to convert the input kwarg tensors to DTensors.
2025-03-14T04:34:41.5463622Z             default: None
2025-03-14T04:34:41.5463835Z         desired_input_kwarg_layouts: (Dict[str, Placement]):
2025-03-14T04:34:41.5464218Z             The desired DTensor layout of input kwargs for the nn.Module, this is used to ensure the inputs of the nn.Module
2025-03-14T04:34:41.5464387Z             have the desired DTensor layouts. default: None.
2025-03-14T04:34:41.5464511Z         use_local_output (bool, optional):
2025-03-14T04:34:41.5464895Z             Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module inputs, default: False.
2025-03-14T04:34:41.5464997Z     Returns:
2025-03-14T04:34:41.5465324Z         A :class:`ParallelStyle` object that prepares the sharding layouts of the nn.Module's inputs.
2025-03-14T04:34:41.5465411Z     
2025-03-14T04:34:41.5465523Z     Example::
2025-03-14T04:34:41.5465639Z         >>> # xdoctest: +SKIP(failing)
2025-03-14T04:34:41.5465972Z         >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleInput
2025-03-14T04:34:41.5466176Z         >>> from torch.distributed.device_mesh import init_device_mesh
2025-03-14T04:34:41.5466312Z         >>> ...
2025-03-14T04:34:41.5466629Z         >>> block = TransformerBlock(...)  # block is a nn.Module that contains an "attn" Attention submodule
2025-03-14T04:34:41.5466779Z         >>> tp_mesh = init_device_mesh("cuda", (8,))
2025-03-14T04:34:41.5466872Z         >>>
2025-03-14T04:34:41.5467514Z         >>> # According to the style specified below, the first input of attn will be annotated to Sharded DTensor
2025-03-14T04:34:41.5467676Z         >>> # and then redistributed to Replicated DTensor.
2025-03-14T04:34:41.5467801Z         >>> parallelize_module(
2025-03-14T04:34:41.5467947Z         >>>     block, # this can be a submodule or module
2025-03-14T04:34:41.5468061Z         >>>     tp_mesh,
2025-03-14T04:34:41.5468176Z         >>>     parallelize_plan={
2025-03-14T04:34:41.5468322Z         >>>         "attn": PrepareModuleInput(
2025-03-14T04:34:41.5468469Z         >>>             input_layouts=(Shard(0), None, None, ...),
2025-03-14T04:34:41.5468709Z         >>>             desired_input_layouts=(Replicate(), None, None, ...)
2025-03-14T04:34:41.5468806Z         >>>         ),
2025-03-14T04:34:41.5468911Z         >>>     }
2025-03-14T04:34:41.5469003Z         >>> )
2025-03-14T04:34:41.5469107Z     
2025-03-14T04:34:41.5469374Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5469477Z     
2025-03-14T04:34:41.5469584Z       warnings.warn(msg)
2025-03-14T04:34:41.5469685Z     
2025-03-14T04:34:41.5469902Z --- Parse Warning: 81 / 116 ---
2025-03-14T04:34:41.5470967Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=PrepareModuleOutput in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/style.py line=562.
2025-03-14T04:34:41.5471244Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5471351Z     
2025-03-14T04:34:41.5471758Z     Configure the nn.Module's outputs to convert the output tensors of the nn.Module to DTensors at runtime according to
2025-03-14T04:34:41.5472119Z     ``output_layouts``, and perform layout redistribution according to the ``desired_output_layouts``.
2025-03-14T04:34:41.5472209Z     
2025-03-14T04:34:41.5472323Z     Keyword Args:
2025-03-14T04:34:41.5472501Z         output_layouts (Union[Placement, Tuple[Placement]]):
2025-03-14T04:34:41.5472868Z             The DTensor layouts of output tensors for the nn.Module, this is used to convert the output tensors to
2025-03-14T04:34:41.5473266Z             DTensors if they are :class:`torch.Tensor`. If some outputs are not torch.Tensor or no need to convert to DTensors,
2025-03-14T04:34:41.5473432Z             ``None`` need to be specified as a placeholder.
2025-03-14T04:34:41.5473639Z         desired_output_layouts (Union[Placement, Tuple[Placement]]):
2025-03-14T04:34:41.5474107Z             The desired DTensor layouts of output tensors for the nn.Module, this is used to ensure the outputs of the nn.Module
2025-03-14T04:34:41.5474239Z             have the desired DTensor layouts.
2025-03-14T04:34:41.5474379Z         use_local_output (bool, optional):
2025-03-14T04:34:41.5474755Z             Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module outputs, default: True.
2025-03-14T04:34:41.5474864Z     Returns:
2025-03-14T04:34:41.5475256Z         A ParallelStyle object that prepares the sharding layouts of the nn.Module's outputs.
2025-03-14T04:34:41.5475363Z     
2025-03-14T04:34:41.5475465Z     Example::
2025-03-14T04:34:41.5475599Z         >>> # xdoctest: +SKIP(failing)
2025-03-14T04:34:41.5475924Z         >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleOutput
2025-03-14T04:34:41.5476142Z         >>> from torch.distributed.device_mesh import init_device_mesh
2025-03-14T04:34:41.5476236Z         >>> ...
2025-03-14T04:34:41.5476570Z         >>> block = TransformerBlock(...)  # block is a nn.Module that contains an "attn" Attention submodule
2025-03-14T04:34:41.5476769Z         >>> tp_mesh = init_device_mesh("cuda", (8,))
2025-03-14T04:34:41.5476876Z         >>>
2025-03-14T04:34:41.5477293Z         >>> # According to the style specified below, the output of the TransformerBlock will be converted to Replicated DTensor
2025-03-14T04:34:41.5477453Z         >>> # and then redistributed to Sharded DTensor.
2025-03-14T04:34:41.5477598Z         >>> parallelize_module(
2025-03-14T04:34:41.5477761Z         >>>     block, # this can be a submodule or module
2025-03-14T04:34:41.5477864Z         >>>     tp_mesh,
2025-03-14T04:34:41.5478028Z         >>>     parallelize_plan = PrepareModuleOutput(
2025-03-14T04:34:41.5478158Z         >>>         output_layouts=Replicate(),
2025-03-14T04:34:41.5478301Z         >>>         desired_output_layouts=Shard(0)
2025-03-14T04:34:41.5478392Z         >>>     )
2025-03-14T04:34:41.5478498Z         >>> )
2025-03-14T04:34:41.5478588Z     
2025-03-14T04:34:41.5478900Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5478987Z     
2025-03-14T04:34:41.5479109Z       warnings.warn(msg)
2025-03-14T04:34:41.5479198Z     
2025-03-14T04:34:41.5479400Z --- Parse Warning: 82 / 116 ---
2025-03-14T04:34:41.5480534Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=LowRankMultivariateNormal in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/lowrank_multivariate_normal.py line=55.
2025-03-14T04:34:41.5480822Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5480913Z     
2025-03-14T04:34:41.5481243Z     Creates a multivariate normal distribution with covariance matrix having a low-rank form
2025-03-14T04:34:41.5481441Z     parameterized by :attr:`cov_factor` and :attr:`cov_diag`::
2025-03-14T04:34:41.5481541Z     
2025-03-14T04:34:41.5481730Z         covariance_matrix = cov_factor @ cov_factor.T + cov_diag
2025-03-14T04:34:41.5481833Z     
2025-03-14T04:34:41.5481927Z     Example:
2025-03-14T04:34:41.5482083Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK)
2025-03-14T04:34:41.5482245Z         >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-03-14T04:34:41.5482374Z         >>> m = LowRankMultivariateNormal(
2025-03-14T04:34:41.5482575Z         ...     torch.zeros(2), torch.tensor([[1.0], [0.0]]), torch.ones(2)
2025-03-14T04:34:41.5482665Z         ... )
2025-03-14T04:34:41.5482977Z         >>> m.sample()  # normally distributed with mean=`[0,0]`, cov_factor=`[[1],[0]]`, cov_diag=`[1,1]`
2025-03-14T04:34:41.5483084Z         tensor([-0.2102, -0.5429])
2025-03-14T04:34:41.5483184Z     
2025-03-14T04:34:41.5483274Z     Args:
2025-03-14T04:34:41.5483531Z         loc (Tensor): mean of the distribution with shape `batch_shape + event_shape`
2025-03-14T04:34:41.5483800Z         cov_factor (Tensor): factor part of low-rank form of covariance matrix with shape
2025-03-14T04:34:41.5483969Z             `batch_shape + event_shape + (rank,)`
2025-03-14T04:34:41.5484238Z         cov_diag (Tensor): diagonal part of low-rank form of covariance matrix with shape
2025-03-14T04:34:41.5484366Z             `batch_shape + event_shape`
2025-03-14T04:34:41.5484459Z     
2025-03-14T04:34:41.5484565Z     Note:
2025-03-14T04:34:41.5484849Z         The computation for determinant and inverse of covariance matrix is avoided when
2025-03-14T04:34:41.5485114Z         `cov_factor.shape[1] << cov_factor.shape[0]` thanks to `Woodbury matrix identity
2025-03-14T04:34:41.5485344Z         <https://en.wikipedia.org/wiki/Woodbury_matrix_identity>`_ and
2025-03-14T04:34:41.5485666Z         `matrix determinant lemma <https://en.wikipedia.org/wiki/Matrix_determinant_lemma>`_.
2025-03-14T04:34:41.5485928Z         Thanks to these formulas, we just need to compute the determinant and inverse of
2025-03-14T04:34:41.5486077Z         the small size "capacitance" matrix::
2025-03-14T04:34:41.5486194Z     
2025-03-14T04:34:41.5486403Z             capacitance = I + cov_factor.T @ inv(cov_diag) @ cov_factor
2025-03-14T04:34:41.5486493Z     
2025-03-14T04:34:41.5486774Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5486863Z     
2025-03-14T04:34:41.5486984Z       warnings.warn(msg)
2025-03-14T04:34:41.5487073Z     
2025-03-14T04:34:41.5487285Z --- Parse Warning: 83 / 116 ---
2025-03-14T04:34:41.5488348Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=MixtureSameFamily in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/mixture_same_family.py line=13.
2025-03-14T04:34:41.5488635Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5488725Z     
2025-03-14T04:34:41.5488974Z     The `MixtureSameFamily` distribution implements a (batch of) mixture
2025-03-14T04:34:41.5489235Z     distribution where all component are from different parameterizations of
2025-03-14T04:34:41.5489498Z     the same distribution type. It is parameterized by a `Categorical`
2025-03-14T04:34:41.5489703Z     "selecting distribution" (over `k` component) and a component
2025-03-14T04:34:41.5489929Z     distribution, i.e., a `Distribution` with a rightmost batch shape
2025-03-14T04:34:41.5490100Z     (equal to `[k]`) which indexes each (batch of) component.
2025-03-14T04:34:41.5490203Z     
2025-03-14T04:34:41.5490304Z     Examples::
2025-03-14T04:34:41.5490405Z     
2025-03-14T04:34:41.5490534Z         >>> # xdoctest: +SKIP("undefined vars")
2025-03-14T04:34:41.5490761Z         >>> # Construct Gaussian Mixture Model in 1D consisting of 5 equally
2025-03-14T04:34:41.5490887Z         >>> # weighted normal distributions
2025-03-14T04:34:41.5491029Z         >>> mix = D.Categorical(torch.ones(5,))
2025-03-14T04:34:41.5491195Z         >>> comp = D.Normal(torch.randn(5,), torch.rand(5,))
2025-03-14T04:34:41.5491340Z         >>> gmm = MixtureSameFamily(mix, comp)
2025-03-14T04:34:41.5491434Z     
2025-03-14T04:34:41.5491662Z         >>> # Construct Gaussian Mixture Model in 2D consisting of 5 equally
2025-03-14T04:34:41.5491804Z         >>> # weighted bivariate normal distributions
2025-03-14T04:34:41.5491945Z         >>> mix = D.Categorical(torch.ones(5,))
2025-03-14T04:34:41.5492067Z         >>> comp = D.Independent(D.Normal(
2025-03-14T04:34:41.5492219Z         ...          torch.randn(5,2), torch.rand(5,2)), 1)
2025-03-14T04:34:41.5492349Z         >>> gmm = MixtureSameFamily(mix, comp)
2025-03-14T04:34:41.5492449Z     
2025-03-14T04:34:41.5492641Z         >>> # Construct a batch of 3 Gaussian Mixture Models in 2D each
2025-03-14T04:34:41.5492864Z         >>> # consisting of 5 random weighted bivariate normal distributions
2025-03-14T04:34:41.5492992Z         >>> mix = D.Categorical(torch.rand(3,5))
2025-03-14T04:34:41.5493126Z         >>> comp = D.Independent(D.Normal(
2025-03-14T04:34:41.5493267Z         ...         torch.randn(3,5,2), torch.rand(3,5,2)), 1)
2025-03-14T04:34:41.5493441Z         >>> gmm = MixtureSameFamily(mix, comp)
2025-03-14T04:34:41.5493530Z     
2025-03-14T04:34:41.5493622Z     Args:
2025-03-14T04:34:41.5493855Z         mixture_distribution: `torch.distributions.Categorical`-like
2025-03-14T04:34:41.5494053Z             instance. Manages the probability of selecting component.
2025-03-14T04:34:41.5494244Z             The number of categories must match the rightmost batch
2025-03-14T04:34:41.5494442Z             dimension of the `component_distribution`. Must have either
2025-03-14T04:34:41.5494604Z             scalar `batch_shape` or `batch_shape` matching
2025-03-14T04:34:41.5494750Z             `component_distribution.batch_shape[:-1]`
2025-03-14T04:34:41.5494993Z         component_distribution: `torch.distributions.Distribution`-like
2025-03-14T04:34:41.5495181Z             instance. Right-most batch dimension indexes component.
2025-03-14T04:34:41.5495282Z     
2025-03-14T04:34:41.5495546Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5495677Z     
2025-03-14T04:34:41.5495783Z       warnings.warn(msg)
2025-03-14T04:34:41.5495882Z     
2025-03-14T04:34:41.5496081Z --- Parse Warning: 84 / 116 ---
2025-03-14T04:34:41.5497135Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=RelaxedBernoulli in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/relaxed_bernoulli.py line=111.
2025-03-14T04:34:41.5497409Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5497510Z     
2025-03-14T04:34:41.5497704Z     Creates a RelaxedBernoulli distribution, parametrized by
2025-03-14T04:34:41.5497916Z     :attr:`temperature`, and either :attr:`probs` or :attr:`logits`
2025-03-14T04:34:41.5498143Z     (but not both). This is a relaxed version of the `Bernoulli` distribution,
2025-03-14T04:34:41.5498347Z     so the values are in (0, 1), and has reparametrizable samples.
2025-03-14T04:34:41.5498466Z     
2025-03-14T04:34:41.5498575Z     Example::
2025-03-14T04:34:41.5498663Z     
2025-03-14T04:34:41.5498824Z         >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-03-14T04:34:41.5498966Z         >>> m = RelaxedBernoulli(torch.tensor([2.2]),
2025-03-14T04:34:41.5499110Z         ...                      torch.tensor([0.1, 0.2, 0.3, 0.99]))
2025-03-14T04:34:41.5499209Z         >>> m.sample()
2025-03-14T04:34:41.5499346Z         tensor([ 0.2951,  0.3442,  0.8918,  0.9021])
2025-03-14T04:34:41.5499435Z     
2025-03-14T04:34:41.5499538Z     Args:
2025-03-14T04:34:41.5499689Z         temperature (Tensor): relaxation temperature
2025-03-14T04:34:41.5499883Z         probs (Number, Tensor): the probability of sampling `1`
2025-03-14T04:34:41.5500052Z         logits (Number, Tensor): the log-odds of sampling `1`
2025-03-14T04:34:41.5500152Z     
2025-03-14T04:34:41.5500416Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5500520Z     
2025-03-14T04:34:41.5500626Z       warnings.warn(msg)
2025-03-14T04:34:41.5500726Z     
2025-03-14T04:34:41.5500920Z --- Parse Warning: 85 / 116 ---
2025-03-14T04:34:41.5502012Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=RelaxedOneHotCategorical in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/relaxed_categorical.py line=101.
2025-03-14T04:34:41.5502289Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5502392Z     
2025-03-14T04:34:41.5502620Z     Creates a RelaxedOneHotCategorical distribution parametrized by
2025-03-14T04:34:41.5502839Z     :attr:`temperature`, and either :attr:`probs` or :attr:`logits`.
2025-03-14T04:34:41.5503089Z     This is a relaxed version of the :class:`OneHotCategorical` distribution, so
2025-03-14T04:34:41.5503278Z     its samples are on simplex, and are reparametrizable.
2025-03-14T04:34:41.5503370Z     
2025-03-14T04:34:41.5503509Z     Example::
2025-03-14T04:34:41.5503599Z     
2025-03-14T04:34:41.5503761Z         >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-03-14T04:34:41.5503928Z         >>> m = RelaxedOneHotCategorical(torch.tensor([2.2]),
2025-03-14T04:34:41.5504077Z         ...                              torch.tensor([0.1, 0.2, 0.3, 0.4]))
2025-03-14T04:34:41.5504176Z         >>> m.sample()
2025-03-14T04:34:41.5504313Z         tensor([ 0.1294,  0.2324,  0.3859,  0.2523])
2025-03-14T04:34:41.5504401Z     
2025-03-14T04:34:41.5504493Z     Args:
2025-03-14T04:34:41.5504657Z         temperature (Tensor): relaxation temperature
2025-03-14T04:34:41.5504784Z         probs (Tensor): event probabilities
2025-03-14T04:34:41.5504994Z         logits (Tensor): unnormalized log probability for each event
2025-03-14T04:34:41.5505083Z     
2025-03-14T04:34:41.5505360Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5505484Z     
2025-03-14T04:34:41.5505603Z       warnings.warn(msg)
2025-03-14T04:34:41.5505692Z     
2025-03-14T04:34:41.5505906Z --- Parse Warning: 86 / 116 ---
2025-03-14T04:34:41.5506974Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assoc_in in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py line=245.
2025-03-14T04:34:41.5507260Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5507462Z     Return a new dict with new, potentially nested, key value pair
2025-03-14T04:34:41.5507565Z     
2025-03-14T04:34:41.5507670Z         >>> purchase = {
2025-03-14T04:34:41.5507790Z         ...     "name": "Alice",
2025-03-14T04:34:41.5507977Z         ...     "order": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]},
2025-03-14T04:34:41.5508119Z         ...     "credit card": "5555-1234-1234-1234",
2025-03-14T04:34:41.5508259Z         ... }
2025-03-14T04:34:41.5508490Z         >>> assoc_in(purchase, ["order", "costs"], [0.25, 1.00])  # doctest: +SKIP
2025-03-14T04:34:41.5508612Z         {'credit card': '5555-1234-1234-1234',
2025-03-14T04:34:41.5508729Z          'name': 'Alice',
2025-03-14T04:34:41.5508905Z          'order': {'costs': [0.25, 1.00], 'items': ['Apple', 'Orange']}}
2025-03-14T04:34:41.5509012Z         
2025-03-14T04:34:41.5509281Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5509385Z     
2025-03-14T04:34:41.5509493Z       warnings.warn(msg)
2025-03-14T04:34:41.5509596Z     
2025-03-14T04:34:41.5509791Z --- Parse Warning: 87 / 116 ---
2025-03-14T04:34:41.5510851Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=update_in in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py line=261.
2025-03-14T04:34:41.5511132Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5511312Z     Update value in a (potentially) nested dictionary
2025-03-14T04:34:41.5511405Z     
2025-03-14T04:34:41.5511516Z         inputs:
2025-03-14T04:34:41.5511644Z         d - dictionary on which to operate
2025-03-14T04:34:41.5511891Z         keys - list or tuple giving the location of the value to be changed in d
2025-03-14T04:34:41.5512029Z         func - function to operate on that value
2025-03-14T04:34:41.5512132Z     
2025-03-14T04:34:41.5512334Z         If keys == [k0,..,kX] and d[k0]..[kX] == v, update_in returns a copy of the
2025-03-14T04:34:41.5512594Z         original dictionary with v replaced by func(v), but does not mutate the
2025-03-14T04:34:41.5512701Z         original dictionary.
2025-03-14T04:34:41.5512802Z     
2025-03-14T04:34:41.5513020Z         If k0 is not a key in d, update_in creates nested dictionaries to the depth
2025-03-14T04:34:41.5513293Z         specified by the keys, with the innermost value set to func(default).
2025-03-14T04:34:41.5513381Z     
2025-03-14T04:34:41.5513503Z         >>> inc = lambda x: x + 1
2025-03-14T04:34:41.5513617Z         >>> update_in({"a": 0}, ["a"], inc)
2025-03-14T04:34:41.5513722Z         {'a': 1}
2025-03-14T04:34:41.5513814Z     
2025-03-14T04:34:41.5513930Z         >>> transaction = {
2025-03-14T04:34:41.5514033Z         ...     "name": "Alice",
2025-03-14T04:34:41.5514237Z         ...     "purchase": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]},
2025-03-14T04:34:41.5514374Z         ...     "credit card": "5555-1234-1234-1234",
2025-03-14T04:34:41.5514466Z         ... }
2025-03-14T04:34:41.5514702Z         >>> update_in(transaction, ["purchase", "costs"], sum)  # doctest: +SKIP
2025-03-14T04:34:41.5514818Z         {'credit card': '5555-1234-1234-1234',
2025-03-14T04:34:41.5514929Z          'name': 'Alice',
2025-03-14T04:34:41.5515194Z          'purchase': {'costs': 1.75, 'items': ['Apple', 'Orange']}}
2025-03-14T04:34:41.5515334Z     
2025-03-14T04:34:41.5515465Z         >>> # updating a value when k0 is not in d
2025-03-14T04:34:41.5515618Z         >>> update_in({}, [1, 2, 3], str, default="bar")
2025-03-14T04:34:41.5515717Z         {1: {2: {3: 'bar'}}}
2025-03-14T04:34:41.5515858Z         >>> update_in({1: "foo"}, [2, 3, 4], inc, 0)
2025-03-14T04:34:41.5515960Z         {1: 'foo', 2: {3: {4: 1}}}
2025-03-14T04:34:41.5516064Z         
2025-03-14T04:34:41.5516355Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5516459Z     
2025-03-14T04:34:41.5516566Z       warnings.warn(msg)
2025-03-14T04:34:41.5516669Z     
2025-03-14T04:34:41.5516870Z --- Parse Warning: 88 / 116 ---
2025-03-14T04:34:41.5517913Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=get_in in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py line=320.
2025-03-14T04:34:41.5518220Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5518410Z     Returns coll[i0][i1]...[iX] where [i0, i1, ..., iX]==keys.
2025-03-14T04:34:41.5518499Z     
2025-03-14T04:34:41.5518702Z         If coll[i0][i1]...[iX] cannot be found, returns ``default``, unless
2025-03-14T04:34:41.5518917Z         ``no_default`` is specified, then it raises KeyError or IndexError.
2025-03-14T04:34:41.5519021Z     
2025-03-14T04:34:41.5519238Z         ``get_in`` is a generalization of ``operator.getitem`` for nested data
2025-03-14T04:34:41.5519393Z         structures such as dictionaries and lists.
2025-03-14T04:34:41.5519481Z     
2025-03-14T04:34:41.5519598Z         >>> transaction = {
2025-03-14T04:34:41.5519704Z         ...     "name": "Alice",
2025-03-14T04:34:41.5519912Z         ...     "purchase": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]},
2025-03-14T04:34:41.5520039Z         ...     "credit card": "5555-1234-1234-1234",
2025-03-14T04:34:41.5520143Z         ... }
2025-03-14T04:34:41.5520293Z         >>> get_in(["purchase", "items", 0], transaction)
2025-03-14T04:34:41.5520398Z         'Apple'
2025-03-14T04:34:41.5520514Z         >>> get_in(["name"], transaction)
2025-03-14T04:34:41.5520618Z         'Alice'
2025-03-14T04:34:41.5520757Z         >>> get_in(["purchase", "total"], transaction)
2025-03-14T04:34:41.5520927Z         >>> get_in(["purchase", "items", "apple"], transaction)
2025-03-14T04:34:41.5521070Z         >>> get_in(["purchase", "items", 10], transaction)
2025-03-14T04:34:41.5521229Z         >>> get_in(["purchase", "total"], transaction, 0)
2025-03-14T04:34:41.5521320Z         0
2025-03-14T04:34:41.5521453Z         >>> get_in(["y"], {}, no_default=True)
2025-03-14T04:34:41.5521578Z         Traceback (most recent call last):
2025-03-14T04:34:41.5521686Z             ...
2025-03-14T04:34:41.5521785Z         KeyError: 'y'
2025-03-14T04:34:41.5521875Z     
2025-03-14T04:34:41.5521982Z         See Also:
2025-03-14T04:34:41.5522090Z             itertoolz.get
2025-03-14T04:34:41.5522236Z             operator.getitem
2025-03-14T04:34:41.5522328Z         
2025-03-14T04:34:41.5522607Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5522697Z     
2025-03-14T04:34:41.5522815Z       warnings.warn(msg)
2025-03-14T04:34:41.5522905Z     
2025-03-14T04:34:41.5523113Z --- Parse Warning: 89 / 116 ---
2025-03-14T04:34:41.5524164Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=groupby in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py line=373.
2025-03-14T04:34:41.5524450Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5524572Z     Group a collection by a key function
2025-03-14T04:34:41.5524672Z     
2025-03-14T04:34:41.5524847Z         >>> names = ["Alice", "Bob", "Charlie", "Dan", "Edith", "Frank"]
2025-03-14T04:34:41.5525023Z         >>> groupby(len, names)  # doctest: +SKIP
2025-03-14T04:34:41.5525193Z         {3: ['Bob', 'Dan'], 5: ['Alice', 'Edith', 'Frank'], 7: ['Charlie']}
2025-03-14T04:34:41.5525294Z     
2025-03-14T04:34:41.5525408Z         >>> iseven = lambda x: x % 2 == 0
2025-03-14T04:34:41.5525598Z         >>> groupby(iseven, [1, 2, 3, 4, 5, 6, 7, 8])  # doctest: +SKIP
2025-03-14T04:34:41.5525743Z         {False: [1, 3, 5, 7], True: [2, 4, 6, 8]}
2025-03-14T04:34:41.5525845Z     
2025-03-14T04:34:41.5525997Z         Non-callable keys imply grouping on a member.
2025-03-14T04:34:41.5526099Z     
2025-03-14T04:34:41.5526196Z         >>> groupby(
2025-03-14T04:34:41.5526308Z         ...     "gender",
2025-03-14T04:34:41.5526399Z         ...     [
2025-03-14T04:34:41.5526540Z         ...         {"name": "Alice", "gender": "F"},
2025-03-14T04:34:41.5526663Z         ...         {"name": "Bob", "gender": "M"},
2025-03-14T04:34:41.5526804Z         ...         {"name": "Charlie", "gender": "M"},
2025-03-14T04:34:41.5526927Z         ...     ],
2025-03-14T04:34:41.5527046Z         ... )  # doctest:+SKIP
2025-03-14T04:34:41.5527169Z         {'F': [{'gender': 'F', 'name': 'Alice'}],
2025-03-14T04:34:41.5527302Z          'M': [{'gender': 'M', 'name': 'Bob'},
2025-03-14T04:34:41.5527424Z                {'gender': 'M', 'name': 'Charlie'}]}
2025-03-14T04:34:41.5527527Z     
2025-03-14T04:34:41.5527682Z         Not to be confused with ``itertools.groupby``
2025-03-14T04:34:41.5527768Z     
2025-03-14T04:34:41.5527873Z         See Also:
2025-03-14T04:34:41.5527965Z             countby
2025-03-14T04:34:41.5528069Z         
2025-03-14T04:34:41.5528335Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5528434Z     
2025-03-14T04:34:41.5528539Z       warnings.warn(msg)
2025-03-14T04:34:41.5528638Z     
2025-03-14T04:34:41.5528831Z --- Parse Warning: 90 / 116 ---
2025-03-14T04:34:41.5529778Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SyncBatchNorm in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/batchnorm.py line=601.
2025-03-14T04:34:41.5530056Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5530253Z     Applies Batch Normalization over a N-Dimensional input.
2025-03-14T04:34:41.5530341Z     
2025-03-14T04:34:41.5530711Z         The N-D input is a mini-batch of [N-2]D inputs with additional channel dimension) as described in the paper
2025-03-14T04:34:41.5530949Z         `Batch Normalization: Accelerating Deep Network Training by Reducing
2025-03-14T04:34:41.5531191Z         Internal Covariate Shift <https://arxiv.org/abs/1502.03167>`__ .
2025-03-14T04:34:41.5531279Z     
2025-03-14T04:34:41.5531389Z         .. math::
2025-03-14T04:34:41.5531480Z     
2025-03-14T04:34:41.5531718Z             y = \frac{x - \mathrm{E}[x]}{ \sqrt{\mathrm{Var}[x] + \epsilon}} * \gamma + \beta
2025-03-14T04:34:41.5531813Z     
2025-03-14T04:34:41.5532091Z         The mean and standard-deviation are calculated per-dimension over all
2025-03-14T04:34:41.5532333Z         mini-batches of the same process groups. :math:`\gamma` and :math:`\beta`
2025-03-14T04:34:41.5532604Z         are learnable parameter vectors of size `C` (where `C` is the input size).
2025-03-14T04:34:41.5532793Z         By default, the elements of :math:`\gamma` are sampled from
2025-03-14T04:34:41.5533021Z         :math:`\mathcal{U}(0, 1)` and the elements of :math:`\beta` are set to 0.
2025-03-14T04:34:41.5533292Z         The standard-deviation is calculated via the biased estimator, equivalent to
2025-03-14T04:34:41.5533430Z         `torch.var(input, unbiased=False)`.
2025-03-14T04:34:41.5533520Z     
2025-03-14T04:34:41.5533779Z         Also by default, during training this layer keeps running estimates of its
2025-03-14T04:34:41.5534024Z         computed mean and variance, which are then used for normalization during
2025-03-14T04:34:41.5534321Z         evaluation. The running estimates are kept with a default :attr:`momentum`
2025-03-14T04:34:41.5534413Z         of 0.1.
2025-03-14T04:34:41.5534512Z     
2025-03-14T04:34:41.5534748Z         If :attr:`track_running_stats` is set to ``False``, this layer then does not
2025-03-14T04:34:41.5534990Z         keep running estimates, and batch statistics are instead used during
2025-03-14T04:34:41.5535103Z         evaluation time as well.
2025-03-14T04:34:41.5535227Z     
2025-03-14T04:34:41.5540363Z         .. note::
2025-03-14T04:34:41.5540656Z             This :attr:`momentum` argument is different from one used in optimizer
2025-03-14T04:34:41.5540912Z             classes and the conventional notion of momentum. Mathematically, the
2025-03-14T04:34:41.5541058Z             update rule for running statistics here is
2025-03-14T04:34:41.5541356Z             :math:`\hat{x}_\text{new} = (1 - \text{momentum}) \times \hat{x} + \text{momentum} \times x_t`,
2025-03-14T04:34:41.5541574Z             where :math:`\hat{x}` is the estimated statistic and :math:`x_t` is the
2025-03-14T04:34:41.5541777Z             new observed value.
2025-03-14T04:34:41.5541865Z     
2025-03-14T04:34:41.5542192Z         Because the Batch Normalization is done for each channel in the ``C`` dimension, computing
2025-03-14T04:34:41.5542454Z         statistics on ``(N, +)`` slices, it's common terminology to call this Volumetric Batch
2025-03-14T04:34:41.5542662Z         Normalization or Spatio-temporal Batch Normalization.
2025-03-14T04:34:41.5542752Z     
2025-03-14T04:34:41.5542921Z         Currently :class:`SyncBatchNorm` only supports
2025-03-14T04:34:41.5543219Z         :class:`~torch.nn.DistributedDataParallel` (DDP) with single GPU per process. Use
2025-03-14T04:34:41.5543454Z         :meth:`torch.nn.SyncBatchNorm.convert_sync_batchnorm()` to convert
2025-03-14T04:34:41.5543672Z         :attr:`BatchNorm*D` layer to :class:`SyncBatchNorm` before wrapping
2025-03-14T04:34:41.5543794Z         Network with DDP.
2025-03-14T04:34:41.5543887Z     
2025-03-14T04:34:41.5543998Z         Args:
2025-03-14T04:34:41.5544176Z             num_features: :math:`C` from an expected input of size
2025-03-14T04:34:41.5544294Z                 :math:`(N, C, +)`
2025-03-14T04:34:41.5544495Z             eps: a value added to the denominator for numerical stability.
2025-03-14T04:34:41.5544614Z                 Default: ``1e-5``
2025-03-14T04:34:41.5544819Z             momentum: the value used for the running_mean and running_var
2025-03-14T04:34:41.5545052Z                 computation. Can be set to ``None`` for cumulative moving average
2025-03-14T04:34:41.5545183Z                 (i.e. simple average). Default: 0.1
2025-03-14T04:34:41.5545408Z             affine: a boolean value that when set to ``True``, this module has
2025-03-14T04:34:41.5545573Z                 learnable affine parameters. Default: ``True``
2025-03-14T04:34:41.5545811Z             track_running_stats: a boolean value that when set to ``True``, this
2025-03-14T04:34:41.5546088Z                 module tracks the running mean and variance, and when set to ``False``,
2025-03-14T04:34:41.5546334Z                 this module does not track such statistics, and initializes statistics
2025-03-14T04:34:41.5546545Z                 buffers :attr:`running_mean` and :attr:`running_var` as ``None``.
2025-03-14T04:34:41.5546795Z                 When these buffers are ``None``, this module always uses batch statistics.
2025-03-14T04:34:41.5546957Z                 in both training and eval modes. Default: ``True``
2025-03-14T04:34:41.5547231Z             process_group: synchronization of stats happen within each process group
2025-03-14T04:34:41.5547469Z                 individually. Default behavior is synchronization across the whole
2025-03-14T04:34:41.5547576Z                 world
2025-03-14T04:34:41.5547666Z     
2025-03-14T04:34:41.5547775Z         Shape:
2025-03-14T04:34:41.5547892Z             - Input: :math:`(N, C, +)`
2025-03-14T04:34:41.5548062Z             - Output: :math:`(N, C, +)` (same shape as input)
2025-03-14T04:34:41.5548184Z     
2025-03-14T04:34:41.5548300Z         .. note::
2025-03-14T04:34:41.5548559Z             Synchronization of batchnorm statistics occurs only while training, i.e.
2025-03-14T04:34:41.5548781Z             synchronization is disabled when ``model.eval()`` is set or if
2025-03-14T04:34:41.5548918Z             ``self.training`` is otherwise ``False``.
2025-03-14T04:34:41.5549019Z     
2025-03-14T04:34:41.5549166Z         Examples::
2025-03-14T04:34:41.5549256Z     
2025-03-14T04:34:41.5549378Z             >>> # xdoctest: +SKIP
2025-03-14T04:34:41.5549501Z             >>> # With Learnable Parameters
2025-03-14T04:34:41.5549634Z             >>> m = nn.SyncBatchNorm(100)
2025-03-14T04:34:41.5549769Z             >>> # creating process group (optional)
2025-03-14T04:34:41.5549934Z             >>> # ranks is a list of int identifying rank ids.
2025-03-14T04:34:41.5550048Z             >>> ranks = list(range(8))
2025-03-14T04:34:41.5550180Z             >>> r1, r2 = ranks[:4], ranks[4:]
2025-03-14T04:34:41.5550372Z             >>> # Note: every rank calls into new_group for every
2025-03-14T04:34:41.5550543Z             >>> # process group created, even if that rank is not
2025-03-14T04:34:41.5550653Z             >>> # part of the group.
2025-03-14T04:34:41.5550925Z             >>> process_groups = [torch.distributed.new_group(pids) for pids in [r1, r2]]
2025-03-14T04:34:41.5551138Z             >>> process_group = process_groups[0 if dist.get_rank() <= 3 else 1]
2025-03-14T04:34:41.5551282Z             >>> # Without Learnable Parameters
2025-03-14T04:34:41.5551496Z             >>> m = nn.BatchNorm3d(100, affine=False, process_group=process_group)
2025-03-14T04:34:41.5551639Z             >>> input = torch.randn(20, 100, 35, 45, 10)
2025-03-14T04:34:41.5551747Z             >>> output = m(input)
2025-03-14T04:34:41.5551845Z     
2025-03-14T04:34:41.5551970Z             >>> # network is nn.BatchNorm layer
2025-03-14T04:34:41.5552270Z             >>> sync_bn_network = nn.SyncBatchNorm.convert_sync_batchnorm(network, process_group)
2025-03-14T04:34:41.5552448Z             >>> # only single gpu per process is currently supported
2025-03-14T04:34:41.5552684Z             >>> ddp_sync_bn_network = torch.nn.parallel.DistributedDataParallel(
2025-03-14T04:34:41.5552807Z             >>>                         sync_bn_network,
2025-03-14T04:34:41.5552953Z             >>>                         device_ids=[args.local_rank],
2025-03-14T04:34:41.5553092Z             >>>                         output_device=args.local_rank)
2025-03-14T04:34:41.5553194Z         
2025-03-14T04:34:41.5553458Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5553559Z     
2025-03-14T04:34:41.5553666Z       warnings.warn(msg)
2025-03-14T04:34:41.5553765Z     
2025-03-14T04:34:41.5554021Z --- Parse Warning: 91 / 116 ---
2025-03-14T04:34:41.5555228Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SyncBatchNorm.convert_sync_batchnorm in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/batchnorm.py line=825.
2025-03-14T04:34:41.5555513Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5555847Z     Converts all :attr:`BatchNorm*D` layers in the model to :class:`torch.nn.SyncBatchNorm` layers.
2025-03-14T04:34:41.5555936Z     
2025-03-14T04:34:41.5556047Z             Args:
2025-03-14T04:34:41.5556305Z                 module (nn.Module): module containing one or more :attr:`BatchNorm*D` layers
2025-03-14T04:34:41.5556547Z                 process_group (optional): process group to scope synchronization,
2025-03-14T04:34:41.5556669Z                     default is the whole world
2025-03-14T04:34:41.5556774Z     
2025-03-14T04:34:41.5556872Z             Returns:
2025-03-14T04:34:41.5557148Z                 The original :attr:`module` with the converted :class:`torch.nn.SyncBatchNorm`
2025-03-14T04:34:41.5557466Z                 layers. If the original :attr:`module` is a :attr:`BatchNorm*D` layer,
2025-03-14T04:34:41.5557697Z                 a new :class:`torch.nn.SyncBatchNorm` layer object will be returned
2025-03-14T04:34:41.5557797Z                 instead.
2025-03-14T04:34:41.5557900Z     
2025-03-14T04:34:41.5558004Z             Example::
2025-03-14T04:34:41.5558109Z     
2025-03-14T04:34:41.5558241Z                 >>> # Network with nn.BatchNorm layer
2025-03-14T04:34:41.5558432Z                 >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-03-14T04:34:41.5558563Z                 >>> module = torch.nn.Sequential(
2025-03-14T04:34:41.5558704Z                 >>>            torch.nn.Linear(20, 100),
2025-03-14T04:34:41.5558836Z                 >>>            torch.nn.BatchNorm1d(100),
2025-03-14T04:34:41.5558952Z                 >>>          ).cuda()
2025-03-14T04:34:41.5559088Z                 >>> # creating process group (optional)
2025-03-14T04:34:41.5559255Z                 >>> # ranks is a list of int identifying rank ids.
2025-03-14T04:34:41.5559400Z                 >>> ranks = list(range(8))
2025-03-14T04:34:41.5559531Z                 >>> r1, r2 = ranks[:4], ranks[4:]
2025-03-14T04:34:41.5559689Z                 >>> # Note: every rank calls into new_group for every
2025-03-14T04:34:41.5559863Z                 >>> # process group created, even if that rank is not
2025-03-14T04:34:41.5559977Z                 >>> # part of the group.
2025-03-14T04:34:41.5560124Z                 >>> # xdoctest: +SKIP("distributed")
2025-03-14T04:34:41.5560388Z                 >>> process_groups = [torch.distributed.new_group(pids) for pids in [r1, r2]]
2025-03-14T04:34:41.5560614Z                 >>> process_group = process_groups[0 if dist.get_rank() <= 3 else 1]
2025-03-14T04:34:41.5560923Z                 >>> sync_bn_module = torch.nn.SyncBatchNorm.convert_sync_batchnorm(module, process_group)
2025-03-14T04:34:41.5561027Z     
2025-03-14T04:34:41.5561118Z             
2025-03-14T04:34:41.5561396Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5561491Z     
2025-03-14T04:34:41.5561611Z       warnings.warn(msg)
2025-03-14T04:34:41.5561700Z     
2025-03-14T04:34:41.5561907Z --- Parse Warning: 92 / 116 ---
2025-03-14T04:34:41.5562824Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Unflatten in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/flatten.py line=60.
2025-03-14T04:34:41.5563111Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5563201Z     
2025-03-14T04:34:41.5563536Z     Unflattens a tensor dim expanding it to a desired shape. For use with :class:`~nn.Sequential`.
2025-03-14T04:34:41.5563624Z     
2025-03-14T04:34:41.5563918Z     * :attr:`dim` specifies the dimension of the input tensor to be unflattened, and it can
2025-03-14T04:34:41.5564155Z       be either `int` or `str` when `Tensor` or `NamedTensor` is used, respectively.
2025-03-14T04:34:41.5564275Z     
2025-03-14T04:34:41.5564614Z     * :attr:`unflattened_size` is the new shape of the unflattened dimension of the tensor and it can be
2025-03-14T04:34:41.5564885Z       a `tuple` of ints or a `list` of ints or `torch.Size` for `Tensor` input;  a `NamedShape`
2025-03-14T04:34:41.5565063Z       (tuple of `(name, size)` tuples) for `NamedTensor` input.
2025-03-14T04:34:41.5565151Z     
2025-03-14T04:34:41.5565257Z     Shape:
2025-03-14T04:34:41.5565481Z         - Input: :math:`(*, S_{\text{dim}}, *)`, where :math:`S_{\text{dim}}` is the size at
2025-03-14T04:34:41.5565752Z           dimension :attr:`dim` and :math:`*` means any number of dimensions including none.
2025-03-14T04:34:41.5565978Z         - Output: :math:`(*, U_1, ..., U_n, *)`, where :math:`U` = :attr:`unflattened_size` and
2025-03-14T04:34:41.5566127Z           :math:`\prod_{i=1}^n U_i = S_{\text{dim}}`.
2025-03-14T04:34:41.5566216Z     
2025-03-14T04:34:41.5566319Z     Args:
2025-03-14T04:34:41.5566510Z         dim (Union[int, str]): Dimension to be unflattened
2025-03-14T04:34:41.5566879Z         unflattened_size (Union[torch.Size, Tuple, List, NamedShape]): New shape of the unflattened dimension
2025-03-14T04:34:41.5567181Z     
2025-03-14T04:34:41.5567292Z     Examples:
2025-03-14T04:34:41.5567412Z         >>> input = torch.randn(2, 50)
2025-03-14T04:34:41.5567533Z         >>> # With tuple of ints
2025-03-14T04:34:41.5567709Z         >>> m = nn.Sequential(
2025-03-14T04:34:41.5567830Z         >>>     nn.Linear(50, 50),
2025-03-14T04:34:41.5567948Z         >>>     nn.Unflatten(1, (2, 5, 5))
2025-03-14T04:34:41.5568052Z         >>> )
2025-03-14T04:34:41.5568159Z         >>> output = m(input)
2025-03-14T04:34:41.5568278Z         >>> output.size()
2025-03-14T04:34:41.5568384Z         torch.Size([2, 2, 5, 5])
2025-03-14T04:34:41.5568503Z         >>> # With torch.Size
2025-03-14T04:34:41.5568608Z         >>> m = nn.Sequential(
2025-03-14T04:34:41.5568727Z         >>>     nn.Linear(50, 50),
2025-03-14T04:34:41.5568904Z         >>>     nn.Unflatten(1, torch.Size([2, 5, 5]))
2025-03-14T04:34:41.5569009Z         >>> )
2025-03-14T04:34:41.5569115Z         >>> output = m(input)
2025-03-14T04:34:41.5569230Z         >>> output.size()
2025-03-14T04:34:41.5569335Z         torch.Size([2, 2, 5, 5])
2025-03-14T04:34:41.5569477Z         >>> # With namedshape (tuple of tuples)
2025-03-14T04:34:41.5569639Z         >>> input = torch.randn(2, 50, names=('N', 'features'))
2025-03-14T04:34:41.5569864Z         >>> unflatten = nn.Unflatten('features', (('C', 2), ('H', 5), ('W', 5)))
2025-03-14T04:34:41.5569982Z         >>> output = unflatten(input)
2025-03-14T04:34:41.5570098Z         >>> output.size()
2025-03-14T04:34:41.5570203Z         torch.Size([2, 2, 5, 5])
2025-03-14T04:34:41.5570307Z     
2025-03-14T04:34:41.5570570Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5570658Z     
2025-03-14T04:34:41.5570778Z       warnings.warn(msg)
2025-03-14T04:34:41.5570870Z     
2025-03-14T04:34:41.5571091Z --- Parse Warning: 93 / 116 ---
2025-03-14T04:34:41.5572110Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=TripletMarginWithDistanceLoss in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py line=1700.
2025-03-14T04:34:41.5572397Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5572608Z     Creates a criterion that measures the triplet loss given input
2025-03-14T04:34:41.5572829Z         tensors :math:`a`, :math:`p`, and :math:`n` (representing anchor,
2025-03-14T04:34:41.5573051Z         positive, and negative examples, respectively), and a nonnegative,
2025-03-14T04:34:41.5573330Z         real-valued function ("distance function") used to compute the relationship
2025-03-14T04:34:41.5573574Z         between the anchor and positive example ("positive distance") and the
2025-03-14T04:34:41.5573741Z         anchor and negative example ("negative distance").
2025-03-14T04:34:41.5573878Z     
2025-03-14T04:34:41.5574113Z         The unreduced loss (i.e., with :attr:`reduction` set to ``'none'``)
2025-03-14T04:34:41.5574223Z         can be described as:
2025-03-14T04:34:41.5574326Z     
2025-03-14T04:34:41.5574424Z         .. math::
2025-03-14T04:34:41.5574587Z             \ell(a, p, n) = L = \{l_1,\dots,l_N\}^\top, \quad
2025-03-14T04:34:41.5574752Z             l_i = \max \{d(a_i, p_i) - d(a_i, n_i) + {\rm margin}, 0\}
2025-03-14T04:34:41.5574854Z     
2025-03-14T04:34:41.5575110Z         where :math:`N` is the batch size; :math:`d` is a nonnegative, real-valued function
2025-03-14T04:34:41.5575424Z         quantifying the closeness of two tensors, referred to as the :attr:`distance_function`;
2025-03-14T04:34:41.5575674Z         and :math:`margin` is a nonnegative margin representing the minimum difference
2025-03-14T04:34:41.5575943Z         between the positive and negative distances that is required for the loss to
2025-03-14T04:34:41.5576224Z         be 0.  The input tensors have :math:`N` elements each and can be of any shape
2025-03-14T04:34:41.5576369Z         that the distance function can handle.
2025-03-14T04:34:41.5576459Z     
2025-03-14T04:34:41.5576597Z         If :attr:`reduction` is not ``'none'``
2025-03-14T04:34:41.5576711Z         (default ``'mean'``), then:
2025-03-14T04:34:41.5576814Z     
2025-03-14T04:34:41.5576938Z         .. math::
2025-03-14T04:34:41.5577055Z             \ell(x, y) =
2025-03-14T04:34:41.5577157Z             \begin{cases}
2025-03-14T04:34:41.5577383Z                 \operatorname{mean}(L), &  \text{if reduction} = \text{`mean';}\\
2025-03-14T04:34:41.5577583Z                 \operatorname{sum}(L),  &  \text{if reduction} = \text{`sum'.}
2025-03-14T04:34:41.5577693Z             \end{cases}
2025-03-14T04:34:41.5577785Z     
2025-03-14T04:34:41.5578037Z         See also :class:`~torch.nn.TripletMarginLoss`, which computes the triplet
2025-03-14T04:34:41.5578301Z         loss for input tensors using the :math:`l_p` distance as the distance function.
2025-03-14T04:34:41.5578427Z     
2025-03-14T04:34:41.5578520Z         Args:
2025-03-14T04:34:41.5578815Z             distance_function (Callable, optional): A nonnegative, real-valued function that
2025-03-14T04:34:41.5579014Z                 quantifies the closeness of two tensors. If not specified,
2025-03-14T04:34:41.5579205Z                 `nn.PairwiseDistance` will be used.  Default: ``None``
2025-03-14T04:34:41.5579485Z             margin (float, optional): A nonnegative margin representing the minimum difference
2025-03-14T04:34:41.5579780Z                 between the positive and negative distances required for the loss to be 0. Larger
2025-03-14T04:34:41.5580070Z                 margins penalize cases where the negative examples are not distant enough from the
2025-03-14T04:34:41.5580268Z                 anchors, relative to the positives. Default: :math:`1`.
2025-03-14T04:34:41.5580525Z             swap (bool, optional): Whether to use the distance swap described in the paper
2025-03-14T04:34:41.5580814Z                 `Learning shallow convolutional feature descriptors with triplet losses` by
2025-03-14T04:34:41.5581059Z                 V. Balntas, E. Riba et al. If True, and if the positive example is closer to the
2025-03-14T04:34:41.5581350Z                 negative example than the anchor is, swaps the positive example and the anchor in
2025-03-14T04:34:41.5581495Z                 the loss computation. Default: ``False``.
2025-03-14T04:34:41.5581796Z             reduction (str, optional): Specifies the (optional) reduction to apply to the output:
2025-03-14T04:34:41.5581992Z                 ``'none'`` | ``'mean'`` | ``'sum'``. ``'none'``: no reduction will be applied,
2025-03-14T04:34:41.5582196Z                 ``'mean'``: the sum of the output will be divided by the number of
2025-03-14T04:34:41.5582444Z                 elements in the output, ``'sum'``: the output will be summed. Default: ``'mean'``
2025-03-14T04:34:41.5582548Z     
2025-03-14T04:34:41.5582637Z     
2025-03-14T04:34:41.5582773Z         Shape:
2025-03-14T04:34:41.5583029Z             - Input: :math:`(N, *)` where :math:`*` represents any number of additional dimensions
2025-03-14T04:34:41.5583182Z               as supported by the distance function.
2025-03-14T04:34:41.5583445Z             - Output: A Tensor of shape :math:`(N)` if :attr:`reduction` is ``'none'``, or a scalar
2025-03-14T04:34:41.5583558Z               otherwise.
2025-03-14T04:34:41.5583646Z     
2025-03-14T04:34:41.5583760Z         Examples::
2025-03-14T04:34:41.5583852Z     
2025-03-14T04:34:41.5583975Z         >>> # Initialize embeddings
2025-03-14T04:34:41.5584104Z         >>> embedding = nn.Embedding(1000, 128)
2025-03-14T04:34:41.5584253Z         >>> anchor_ids = torch.randint(0, 1000, (1,))
2025-03-14T04:34:41.5584394Z         >>> positive_ids = torch.randint(0, 1000, (1,))
2025-03-14T04:34:41.5584542Z         >>> negative_ids = torch.randint(0, 1000, (1,))
2025-03-14T04:34:41.5584708Z         >>> anchor = embedding(anchor_ids)
2025-03-14T04:34:41.5584854Z         >>> positive = embedding(positive_ids)
2025-03-14T04:34:41.5584980Z         >>> negative = embedding(negative_ids)
2025-03-14T04:34:41.5585084Z         >>>
2025-03-14T04:34:41.5585200Z         >>> # Built-in Distance Function
2025-03-14T04:34:41.5585317Z         >>> triplet_loss = \
2025-03-14T04:34:41.5585636Z         >>>     nn.TripletMarginWithDistanceLoss(distance_function=nn.PairwiseDistance())
2025-03-14T04:34:41.5585816Z         >>> output = triplet_loss(anchor, positive, negative)
2025-03-14T04:34:41.5585925Z         >>> output.backward()
2025-03-14T04:34:41.5586033Z         >>>
2025-03-14T04:34:41.5586153Z         >>> # Custom Distance Function
2025-03-14T04:34:41.5586263Z         >>> def l_infinity(x1, x2):
2025-03-14T04:34:41.5586440Z         >>>     return torch.max(torch.abs(x1 - x2), dim=1).values
2025-03-14T04:34:41.5586535Z         >>>
2025-03-14T04:34:41.5586746Z         >>> # xdoctest: +SKIP("FIXME: Would call backwards a second time")
2025-03-14T04:34:41.5586883Z         >>> triplet_loss = (
2025-03-14T04:34:41.5587189Z         >>>     nn.TripletMarginWithDistanceLoss(distance_function=l_infinity, margin=1.5))
2025-03-14T04:34:41.5587355Z         >>> output = triplet_loss(anchor, positive, negative)
2025-03-14T04:34:41.5587476Z         >>> output.backward()
2025-03-14T04:34:41.5587568Z         >>>
2025-03-14T04:34:41.5587713Z         >>> # Custom Distance Function (Lambda)
2025-03-14T04:34:41.5587821Z         >>> triplet_loss = (
2025-03-14T04:34:41.5587971Z         >>>     nn.TripletMarginWithDistanceLoss(
2025-03-14T04:34:41.5588200Z         >>>         distance_function=lambda x, y: 1.0 - F.cosine_similarity(x, y)))
2025-03-14T04:34:41.5588375Z         >>> output = triplet_loss(anchor, positive, negative)
2025-03-14T04:34:41.5588486Z         >>> output.backward()
2025-03-14T04:34:41.5588590Z     
2025-03-14T04:34:41.5588685Z         Reference:
2025-03-14T04:34:41.5589013Z             V. Balntas, et al.: Learning shallow convolutional feature descriptors with triplet losses:
2025-03-14T04:34:41.5589255Z             https://bmva-archive.org.uk/bmvc/2016/papers/paper119/index.html
2025-03-14T04:34:41.5589361Z         
2025-03-14T04:34:41.5589625Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 17))
2025-03-14T04:34:41.5589724Z     
2025-03-14T04:34:41.5589829Z       warnings.warn(msg)
2025-03-14T04:34:41.5589928Z     
2025-03-14T04:34:41.5590136Z --- Parse Warning: 94 / 116 ---
2025-03-14T04:34:41.5591069Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=MaxUnpool2d in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py line=395.
2025-03-14T04:34:41.5591343Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5591523Z     Computes a partial inverse of :class:`MaxPool2d`.
2025-03-14T04:34:41.5591614Z     
2025-03-14T04:34:41.5591937Z         :class:`MaxPool2d` is not fully invertible, since the non-maximal values are lost.
2025-03-14T04:34:41.5592029Z     
2025-03-14T04:34:41.5592283Z         :class:`MaxUnpool2d` takes in as input the output of :class:`MaxPool2d`
2025-03-14T04:34:41.5592536Z         including the indices of the maximal values and computes a partial inverse
2025-03-14T04:34:41.5592704Z         in which all non-maximal values are set to zero.
2025-03-14T04:34:41.5592796Z     
2025-03-14T04:34:41.5592903Z         Note:
2025-03-14T04:34:41.5593231Z             This operation may behave nondeterministically when the input indices has repeat values.
2025-03-14T04:34:41.5593631Z             See https://github.com/pytorch/pytorch/issues/80827 and :doc:`/notes/randomness` for more information.
2025-03-14T04:34:41.5593719Z     
2025-03-14T04:34:41.5593970Z         .. note:: :class:`MaxPool2d` can map several input sizes to the same output
2025-03-14T04:34:41.5594153Z                   sizes. Hence, the inversion process can get ambiguous.
2025-03-14T04:34:41.5594398Z                   To accommodate this, you can provide the needed output size
2025-03-14T04:34:41.5594616Z                   as an additional argument :attr:`output_size` in the forward call.
2025-03-14T04:34:41.5594759Z                   See the Inputs and Example below.
2025-03-14T04:34:41.5594846Z     
2025-03-14T04:34:41.5594952Z         Args:
2025-03-14T04:34:41.5595266Z             kernel_size (int or tuple): Size of the max pooling window.
2025-03-14T04:34:41.5595465Z             stride (int or tuple): Stride of the max pooling window.
2025-03-14T04:34:41.5595609Z                 It is set to :attr:`kernel_size` by default.
2025-03-14T04:34:41.5595814Z             padding (int or tuple): Padding that was added to the input
2025-03-14T04:34:41.5595903Z     
2025-03-14T04:34:41.5596012Z         Inputs:
2025-03-14T04:34:41.5596144Z             - `input`: the input Tensor to invert
2025-03-14T04:34:41.5596372Z             - `indices`: the indices given out by :class:`~torch.nn.MaxPool2d`
2025-03-14T04:34:41.5596574Z             - `output_size` (optional): the targeted output size
2025-03-14T04:34:41.5596675Z     
2025-03-14T04:34:41.5596768Z         Shape:
2025-03-14T04:34:41.5596974Z             - Input: :math:`(N, C, H_{in}, W_{in})` or :math:`(C, H_{in}, W_{in})`.
2025-03-14T04:34:41.5597194Z             - Output: :math:`(N, C, H_{out}, W_{out})` or :math:`(C, H_{out}, W_{out})`, where
2025-03-14T04:34:41.5597297Z     
2025-03-14T04:34:41.5597398Z               .. math::
2025-03-14T04:34:41.5597678Z                 H_{out} = (H_{in} - 1) \times \text{stride[0]} - 2 \times \text{padding[0]} + \text{kernel\_size[0]}
2025-03-14T04:34:41.5597777Z     
2025-03-14T04:34:41.5597876Z               .. math::
2025-03-14T04:34:41.5598154Z                 W_{out} = (W_{in} - 1) \times \text{stride[1]} - 2 \times \text{padding[1]} + \text{kernel\_size[1]}
2025-03-14T04:34:41.5598242Z     
2025-03-14T04:34:41.5598425Z               or as given by :attr:`output_size` in the call operator
2025-03-14T04:34:41.5598519Z     
2025-03-14T04:34:41.5598630Z         Example::
2025-03-14T04:34:41.5598719Z     
2025-03-14T04:34:41.5598902Z             >>> pool = nn.MaxPool2d(2, stride=2, return_indices=True)
2025-03-14T04:34:41.5599036Z             >>> unpool = nn.MaxUnpool2d(2, stride=2)
2025-03-14T04:34:41.5599187Z             >>> input = torch.tensor([[[[ 1.,  2.,  3.,  4.],
2025-03-14T04:34:41.5599307Z                                         [ 5.,  6.,  7.,  8.],
2025-03-14T04:34:41.5599433Z                                         [ 9., 10., 11., 12.],
2025-03-14T04:34:41.5599553Z                                         [13., 14., 15., 16.]]]])
2025-03-14T04:34:41.5599692Z             >>> output, indices = pool(input)
2025-03-14T04:34:41.5599806Z             >>> unpool(output, indices)
2025-03-14T04:34:41.5599931Z             tensor([[[[  0.,   0.,   0.,   0.],
2025-03-14T04:34:41.5600038Z                       [  0.,   6.,   0.,   8.],
2025-03-14T04:34:41.5600155Z                       [  0.,   0.,   0.,   0.],
2025-03-14T04:34:41.5600295Z                       [  0.,  14.,   0.,  16.]]]])
2025-03-14T04:34:41.5600530Z             >>> # Now using output_size to resolve an ambiguous size for the inverse
2025-03-14T04:34:41.5600683Z             >>> input = torch.tensor([[[[ 1.,  2.,  3.,  4.,  5.],
2025-03-14T04:34:41.5600815Z                                         [ 6.,  7.,  8.,  9., 10.],
2025-03-14T04:34:41.5600933Z                                         [11., 12., 13., 14., 15.],
2025-03-14T04:34:41.5601063Z                                         [16., 17., 18., 19., 20.]]]])
2025-03-14T04:34:41.5601207Z             >>> output, indices = pool(input)
2025-03-14T04:34:41.5601384Z             >>> # This call will not work without specifying output_size
2025-03-14T04:34:41.5601563Z             >>> unpool(output, indices, output_size=input.size())
2025-03-14T04:34:41.5601677Z             tensor([[[[ 0.,  0.,  0.,  0.,  0.],
2025-03-14T04:34:41.5601801Z                       [ 0.,  7.,  0.,  9.,  0.],
2025-03-14T04:34:41.5601937Z                       [ 0.,  0.,  0.,  0.,  0.],
2025-03-14T04:34:41.5602059Z                       [ 0., 17.,  0., 19.,  0.]]]])
2025-03-14T04:34:41.5602147Z     
2025-03-14T04:34:41.5602250Z     
2025-03-14T04:34:41.5602341Z         
2025-03-14T04:34:41.5602607Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5602708Z     
2025-03-14T04:34:41.5602839Z       warnings.warn(msg)
2025-03-14T04:34:41.5602938Z     
2025-03-14T04:34:41.5603146Z --- Parse Warning: 95 / 116 ---
2025-03-14T04:34:41.5604080Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=EmbeddingBag in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/sparse.py line=270.
2025-03-14T04:34:41.5604354Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5604697Z     Compute sums or means of 'bags' of embeddings, without instantiating the intermediate embeddings.
2025-03-14T04:34:41.5604817Z     
2025-03-14T04:34:41.5605159Z         For bags of constant length, no :attr:`per_sample_weights`, no indices equal to :attr:`padding_idx`,
2025-03-14T04:34:41.5605277Z         and with 2D inputs, this class
2025-03-14T04:34:41.5605379Z     
2025-03-14T04:34:41.5605697Z             * with ``mode="sum"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.sum(dim=1)``,
2025-03-14T04:34:41.5606032Z             * with ``mode="mean"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.mean(dim=1)``,
2025-03-14T04:34:41.5606356Z             * with ``mode="max"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.max(dim=1)``.
2025-03-14T04:34:41.5606445Z     
2025-03-14T04:34:41.5606811Z         However, :class:`~torch.nn.EmbeddingBag` is much more time and memory efficient than using a chain of these
2025-03-14T04:34:41.5606919Z         operations.
2025-03-14T04:34:41.5607011Z     
2025-03-14T04:34:41.5607295Z         EmbeddingBag also supports per-sample weights as an argument to the forward
2025-03-14T04:34:41.5607543Z         pass. This scales the output of the Embedding before performing a weighted
2025-03-14T04:34:41.5607818Z         reduction as specified by ``mode``. If :attr:`per_sample_weights` is passed, the
2025-03-14T04:34:41.5608061Z         only supported ``mode`` is ``"sum"``, which computes a weighted sum according to
2025-03-14T04:34:41.5608188Z         :attr:`per_sample_weights`.
2025-03-14T04:34:41.5608278Z     
2025-03-14T04:34:41.5608383Z         Args:
2025-03-14T04:34:41.5608577Z             num_embeddings (int): size of the dictionary of embeddings
2025-03-14T04:34:41.5608763Z             embedding_dim (int): the size of each embedding vector
2025-03-14T04:34:41.5609086Z             max_norm (float, optional): If given, each embedding vector with norm larger than :attr:`max_norm`
2025-03-14T04:34:41.5609257Z                                         is renormalized to have norm :attr:`max_norm`.
2025-03-14T04:34:41.5609637Z             norm_type (float, optional): The p of the p-norm to compute for the :attr:`max_norm` option. Default ``2``.
2025-03-14T04:34:41.5609987Z             scale_grad_by_freq (bool, optional): if given, this will scale gradients by the inverse of frequency of
2025-03-14T04:34:41.5610159Z                                                     the words in the mini-batch. Default ``False``.
2025-03-14T04:34:41.5610361Z                                                     Note: this option is not supported when ``mode="max"``.
2025-03-14T04:34:41.5610635Z             mode (str, optional): ``"sum"``, ``"mean"`` or ``"max"``. Specifies the way to reduce the bag.
2025-03-14T04:34:41.5610863Z                                      ``"sum"`` computes the weighted sum, taking :attr:`per_sample_weights`
2025-03-14T04:34:41.5611102Z                                      into consideration. ``"mean"`` computes the average of the values
2025-03-14T04:34:41.5611315Z                                      in the bag, ``"max"`` computes the max value over each bag.
2025-03-14T04:34:41.5611448Z                                      Default: ``"mean"``
2025-03-14T04:34:41.5611777Z             sparse (bool, optional): if ``True``, gradient w.r.t. :attr:`weight` matrix will be a sparse tensor. See
2025-03-14T04:34:41.5612078Z                                      Notes for more details regarding sparse gradients. Note: this option is not
2025-03-14T04:34:41.5612216Z                                      supported when ``mode="max"``.
2025-03-14T04:34:41.5612610Z             include_last_offset (bool, optional): if ``True``, :attr:`offsets` has one additional element, where the last element
2025-03-14T04:34:41.5612843Z                                           is equivalent to the size of `indices`. This matches the CSR format.
2025-03-14T04:34:41.5613195Z             padding_idx (int, optional): If specified, the entries at :attr:`padding_idx` do not contribute to the
2025-03-14T04:34:41.5613509Z                                          gradient; therefore, the embedding vector at :attr:`padding_idx` is not updated
2025-03-14T04:34:41.5613773Z                                          during training, i.e. it remains as a fixed "pad". For a newly constructed
2025-03-14T04:34:41.5614056Z                                          EmbeddingBag, the embedding vector at :attr:`padding_idx` will default to all
2025-03-14T04:34:41.5614320Z                                          zeros, but can be updated to another value to be used as the padding vector.
2025-03-14T04:34:41.5614576Z                                          Note that the embedding vector at :attr:`padding_idx` is excluded from the
2025-03-14T04:34:41.5614702Z                                          reduction.
2025-03-14T04:34:41.5614790Z     
2025-03-14T04:34:41.5614896Z         Attributes:
2025-03-14T04:34:41.5615224Z             weight (Tensor): the learnable weights of the module of shape `(num_embeddings, embedding_dim)`
2025-03-14T04:34:41.5615388Z                              initialized from :math:`\mathcal{N}(0, 1)`.
2025-03-14T04:34:41.5615478Z     
2025-03-14T04:34:41.5615588Z         Examples::
2025-03-14T04:34:41.5615678Z     
2025-03-14T04:34:41.5615867Z             >>> # an EmbeddingBag module containing 10 tensors of size 3
2025-03-14T04:34:41.5616038Z             >>> embedding_sum = nn.EmbeddingBag(10, 3, mode='sum')
2025-03-14T04:34:41.5616187Z             >>> # a batch of 2 samples of 4 indices each
2025-03-14T04:34:41.5616383Z             >>> input = torch.tensor([1, 2, 4, 5, 4, 3, 2, 9], dtype=torch.long)
2025-03-14T04:34:41.5616547Z             >>> offsets = torch.tensor([0, 4], dtype=torch.long)
2025-03-14T04:34:41.5616698Z             >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-03-14T04:34:41.5616829Z             >>> embedding_sum(input, offsets)
2025-03-14T04:34:41.5616947Z             tensor([[-0.8861, -5.4350, -0.0523],
2025-03-14T04:34:41.5617069Z                     [ 1.1306, -2.5798, -1.0044]])
2025-03-14T04:34:41.5617162Z     
2025-03-14T04:34:41.5617330Z             >>> # Example with padding_idx
2025-03-14T04:34:41.5617548Z             >>> embedding_sum = nn.EmbeddingBag(10, 3, mode='sum', padding_idx=2)
2025-03-14T04:34:41.5617749Z             >>> input = torch.tensor([2, 2, 2, 2, 4, 3, 2, 9], dtype=torch.long)
2025-03-14T04:34:41.5617906Z             >>> offsets = torch.tensor([0, 4], dtype=torch.long)
2025-03-14T04:34:41.5618039Z             >>> embedding_sum(input, offsets)
2025-03-14T04:34:41.5618151Z             tensor([[ 0.0000,  0.0000,  0.0000],
2025-03-14T04:34:41.5618273Z                     [-0.7082,  3.2145, -2.6251]])
2025-03-14T04:34:41.5618362Z     
2025-03-14T04:34:41.5618562Z             >>> # An EmbeddingBag can be loaded from an Embedding like so
2025-03-14T04:34:41.5618721Z             >>> embedding = nn.Embedding(10, 3, padding_idx=2)
2025-03-14T04:34:41.5618899Z             >>> embedding_sum = nn.EmbeddingBag.from_pretrained(
2025-03-14T04:34:41.5619039Z                     embedding.weight,
2025-03-14T04:34:41.5619187Z                     padding_idx=embedding.padding_idx,
2025-03-14T04:34:41.5619291Z                     mode='sum')
2025-03-14T04:34:41.5619391Z         
2025-03-14T04:34:41.5619657Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5619742Z     
2025-03-14T04:34:41.5619859Z       warnings.warn(msg)
2025-03-14T04:34:41.5619946Z     
2025-03-14T04:34:41.5620189Z --- Parse Warning: 96 / 116 ---
2025-03-14T04:34:41.5621237Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DistributedDataParallel.join in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py line=1742.
2025-03-14T04:34:41.5621523Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5621609Z     
2025-03-14T04:34:41.5621868Z     Context manager for training with uneven inputs across processes in DDP.
2025-03-14T04:34:41.5621984Z     
2025-03-14T04:34:41.5622227Z     This context manager will keep track of already-joined DDP processes,
2025-03-14T04:34:41.5622442Z     and "shadow" the forward and backward passes by inserting collective
2025-03-14T04:34:41.5622693Z     communication operations to match with the ones created by non-joined
2025-03-14T04:34:41.5622937Z     DDP processes. This will ensure each collective call has a corresponding
2025-03-14T04:34:41.5623175Z     call by already-joined DDP processes, preventing hangs or errors that
2025-03-14T04:34:41.5623385Z     would otherwise happen when training with uneven inputs across
2025-03-14T04:34:41.5623641Z     processes. Alternatively, if the flag ``throw_on_early_termination`` is
2025-03-14T04:34:41.5623855Z     specified to be ``True``, all trainers will throw an error once one rank
2025-03-14T04:34:41.5624072Z     runs out of inputs, allowing these errors to be caught and handled
2025-03-14T04:34:41.5624194Z     according to application logic.
2025-03-14T04:34:41.5624293Z     
2025-03-14T04:34:41.5624517Z     Once all DDP processes have joined, the context manager will broadcast
2025-03-14T04:34:41.5624760Z     the model corresponding to the last joined process to all processes to
2025-03-14T04:34:41.5624916Z     ensure the model is the same across all processes
2025-03-14T04:34:41.5625041Z     (which is guaranteed by DDP).
2025-03-14T04:34:41.5625129Z     
2025-03-14T04:34:41.5625350Z     To use this to enable training with uneven inputs across processes,
2025-03-14T04:34:41.5625577Z     simply wrap this context manager around your training loop. No further
2025-03-14T04:34:41.5625770Z     modifications to the model or data loading is required.
2025-03-14T04:34:41.5625856Z     
2025-03-14T04:34:41.5625966Z     .. warning::
2025-03-14T04:34:41.5626181Z         If the model or training loop this context manager is wrapped around
2025-03-14T04:34:41.5626384Z         has additional distributed collective operations, such as
2025-03-14T04:34:41.5626605Z         ``SyncBatchNorm`` in the model's forward pass, then the flag
2025-03-14T04:34:41.5626832Z         ``throw_on_early_termination`` must be enabled. This is because this
2025-03-14T04:34:41.5627049Z         context manager is not aware of non-DDP collective communication.
2025-03-14T04:34:41.5627240Z         This flag will cause all ranks to throw when any one rank
2025-03-14T04:34:41.5627459Z         exhausts inputs, allowing these errors to be caught and recovered
2025-03-14T04:34:41.5627581Z         from across all ranks.
2025-03-14T04:34:41.5627667Z     
2025-03-14T04:34:41.5627770Z     Args:
2025-03-14T04:34:41.5627957Z         divide_by_initial_world_size (bool): If ``True``, will divide
2025-03-14T04:34:41.5628182Z             gradients by the initial ``world_size`` DDP training was launched
2025-03-14T04:34:41.5628353Z             with. If ``False``, will compute the effective world size
2025-03-14T04:34:41.5628560Z             (number of ranks that have not depleted their inputs yet) and
2025-03-14T04:34:41.5628743Z             divide gradients by that during allreduce. Set
2025-03-14T04:34:41.5628943Z             ``divide_by_initial_world_size=True`` to ensure every input
2025-03-14T04:34:41.5629160Z             sample including the uneven inputs have equal weight in terms of
2025-03-14T04:34:41.5629353Z             how much they contribute to the global gradient. This is
2025-03-14T04:34:41.5629560Z             achieved by always dividing the gradient by the initial
2025-03-14T04:34:41.5629769Z             ``world_size`` even when we encounter uneven inputs. If you set
2025-03-14T04:34:41.5629943Z             this to ``False``, we divide the gradient by the remaining
2025-03-14T04:34:41.5630156Z             number of nodes. This ensures parity with training on a smaller
2025-03-14T04:34:41.5630348Z             ``world_size`` although it also means the uneven inputs would
2025-03-14T04:34:41.5630562Z             contribute more towards the global gradient. Typically, you
2025-03-14T04:34:41.5630788Z             would want to set this to ``True`` for cases where the last few
2025-03-14T04:34:41.5631005Z             inputs of your training job are uneven. In extreme cases, where
2025-03-14T04:34:41.5631198Z             there is a large discrepancy in the number of inputs, setting
2025-03-14T04:34:41.5631363Z             this to ``False`` might provide better results.
2025-03-14T04:34:41.5631586Z         enable (bool): Whether to enable uneven input detection or not. Pass
2025-03-14T04:34:41.5631779Z             in ``enable=False`` to disable in cases where you know that
2025-03-14T04:34:41.5631976Z             inputs are even across participating processes. Default is
2025-03-14T04:34:41.5632081Z             ``True``.
2025-03-14T04:34:41.5632272Z         throw_on_early_termination (bool): Whether to throw an error
2025-03-14T04:34:41.5632468Z             or continue training when at least one rank has exhausted
2025-03-14T04:34:41.5632662Z             inputs. If ``True``, will throw upon the first rank reaching end
2025-03-14T04:34:41.5632851Z             of data. If ``False``, will continue training with a smaller
2025-03-14T04:34:41.5633053Z             effective world size until all ranks are joined. Note that if
2025-03-14T04:34:41.5633188Z             this flag is specified, then the flag
2025-03-14T04:34:41.5633368Z             ``divide_by_initial_world_size`` would be ignored. Default
2025-03-14T04:34:41.5633476Z             is ``False``.
2025-03-14T04:34:41.5633565Z     
2025-03-14T04:34:41.5633662Z     
2025-03-14T04:34:41.5633760Z     Example::
2025-03-14T04:34:41.5633856Z     
2025-03-14T04:34:41.5633980Z         >>> # xdoctest: +SKIP("Distributed")
2025-03-14T04:34:41.5634087Z         >>> import torch
2025-03-14T04:34:41.5634215Z         >>> import torch.distributed as dist
2025-03-14T04:34:41.5634323Z         >>> import os
2025-03-14T04:34:41.5634457Z         >>> import torch.multiprocessing as mp
2025-03-14T04:34:41.5634577Z         >>> import torch.nn as nn
2025-03-14T04:34:41.5634718Z         >>> # On each spawned worker
2025-03-14T04:34:41.5634834Z         >>> def worker(rank):
2025-03-14T04:34:41.5635020Z         >>>     dist.init_process_group("nccl", rank=rank, world_size=2)
2025-03-14T04:34:41.5635243Z         >>>     torch.cuda.set_device(rank)
2025-03-14T04:34:41.5635390Z         >>>     model = nn.Linear(1, 1, bias=False).to(rank)
2025-03-14T04:34:41.5635573Z         >>>     model = torch.nn.parallel.DistributedDataParallel(
2025-03-14T04:34:41.5635739Z         >>>         model, device_ids=[rank], output_device=rank
2025-03-14T04:34:41.5635829Z         >>>     )
2025-03-14T04:34:41.5635979Z         >>>     # Rank 1 gets one more input than rank 0.
2025-03-14T04:34:41.5636172Z         >>>     inputs = [torch.tensor([1]).float() for _ in range(10 + rank)]
2025-03-14T04:34:41.5636294Z         >>>     with model.join():
2025-03-14T04:34:41.5636400Z         >>>         for _ in range(5):
2025-03-14T04:34:41.5636526Z         >>>             for inp in inputs:
2025-03-14T04:34:41.5636686Z         >>>                 loss = model(inp).sum()
2025-03-14T04:34:41.5636813Z         >>>                 loss.backward()
2025-03-14T04:34:41.5637013Z         >>>     # Without the join() API, the below synchronization will hang
2025-03-14T04:34:41.5637180Z         >>>     # blocking for rank 1's allreduce to complete.
2025-03-14T04:34:41.5637314Z         >>>     torch.cuda.synchronize(device=rank)
2025-03-14T04:34:41.5637443Z     
2025-03-14T04:34:41.5637710Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5637810Z     
2025-03-14T04:34:41.5637913Z       warnings.warn(msg)
2025-03-14T04:34:41.5638013Z     
2025-03-14T04:34:41.5638221Z --- Parse Warning: 97 / 116 ---
2025-03-14T04:34:41.5639343Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DistributedDataParallel._register_fused_optim in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py line=2033.
2025-03-14T04:34:41.5639644Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5639744Z     
2025-03-14T04:34:41.5640065Z     Register an optimizer in DDP to optimize parameter immediately after its gradient reduction.
2025-03-14T04:34:41.5640174Z     
2025-03-14T04:34:41.5640390Z     Registers an optimizer with DDP such that the optimization for a
2025-03-14T04:34:41.5640623Z     parameter will run immediately when that parameter's gradient is
2025-03-14T04:34:41.5640832Z     finished with reduction, instead of waiting for all parameters'
2025-03-14T04:34:41.5641074Z     gradients to finish reduction. This can result in a training speedup
2025-03-14T04:34:41.5641298Z     depending on your workload since the optimizer can run while gradient
2025-03-14T04:34:41.5641549Z     reduction for other parameters are still ongoing. In addition, this has
2025-03-14T04:34:41.5641782Z     the potential to reduce peak memory consumption during training, as it
2025-03-14T04:34:41.5642011Z     only needs to load the per-parameter optimizer states of a single
2025-03-14T04:34:41.5642229Z     parameter at a time, instead of loading all per-parameter optimizer
2025-03-14T04:34:41.5642342Z     states at once.
2025-03-14T04:34:41.5642426Z     
2025-03-14T04:34:41.5642527Z     Args:
2025-03-14T04:34:41.5642728Z         optim (Type): a ``torch.optim.Optimizer`` class to be registered
2025-03-14T04:34:41.5642847Z         as a fused optimizer.
2025-03-14T04:34:41.5643020Z         *args (Sequence[Any]): Arguments to forward to `optim`.
2025-03-14T04:34:41.5643253Z         optim_params (Optional[Iterable[torch.Tensor]]): Set of parameters
2025-03-14T04:34:41.5643482Z         to optimize, similar to `params` argument of traditional `torch.optim`
2025-03-14T04:34:41.5643706Z         Optimizers. If this is omitted, all DDP model parameters will be
2025-03-14T04:34:41.5643800Z         optimized.
2025-03-14T04:34:41.5644046Z         **kwargs: (Dict[str, Any]): Keyword arguments to forward to `optim`.
2025-03-14T04:34:41.5644137Z     
2025-03-14T04:34:41.5644250Z     .. warning ::
2025-03-14T04:34:41.5644470Z         _register_fused_optim should only be called once on a DDP instance,
2025-03-14T04:34:41.5644699Z         and registering multiple fused optimizers for the same DDP model
2025-03-14T04:34:41.5644835Z         is not currently supported. Please ping
2025-03-14T04:34:41.5645091Z         https://github.com/pytorch/pytorch/issues/71595 if this is necessary
2025-03-14T04:34:41.5645196Z         for your use case.
2025-03-14T04:34:41.5645293Z     
2025-03-14T04:34:41.5645388Z     .. warning ::
2025-03-14T04:34:41.5645597Z         _register_fused_optim and register_comm_hook currently do not
2025-03-14T04:34:41.5645819Z         compose together, meaning that custom DDP communication hooks are
2025-03-14T04:34:41.5646006Z         not supported with overlapped optimizers. Please ping
2025-03-14T04:34:41.5646243Z         https://github.com/pytorch/pytorch/issues/71595 if this is necessary
2025-03-14T04:34:41.5646392Z         for your use case.
2025-03-14T04:34:41.5646480Z     
2025-03-14T04:34:41.5646586Z     .. warning ::
2025-03-14T04:34:41.5646821Z         Gradient accumulation and DDP `no_sync` are currently not supported
2025-03-14T04:34:41.5646966Z         with overlapped optimizer. Please ping
2025-03-14T04:34:41.5647228Z         https://github.com/pytorch/pytorch/issues/71595 if this is necessary
2025-03-14T04:34:41.5647342Z         for your use case.
2025-03-14T04:34:41.5647428Z     
2025-03-14T04:34:41.5647522Z     Example::
2025-03-14T04:34:41.5647623Z     
2025-03-14T04:34:41.5647762Z         >>> # xdoctest: +SKIP("No rendezvous handler")
2025-03-14T04:34:41.5648081Z         >>> torch.distributed.init_process_group(backend='nccl', world_size=4, init_method='...')
2025-03-14T04:34:41.5648285Z         >>> net = torch.nn.parallel.DistributedDataParallel(model, pg)
2025-03-14T04:34:41.5648393Z         >>> lr = 1e-2
2025-03-14T04:34:41.5648535Z         >>> betas = (0.9, 0.99)
2025-03-14T04:34:41.5648646Z         >>> eps = 1e-6
2025-03-14T04:34:41.5648876Z         >>> net._register_fused_optim(torch.optim.Adam, lr, betas=betas, eps=eps)
2025-03-14T04:34:41.5649016Z         >>> # Example with subset of parameters
2025-03-14T04:34:41.5649158Z         >>> params_to_opt = [list(net.parameters())[0]]
2025-03-14T04:34:41.5649285Z         >>> net._register_fused_optim(
2025-03-14T04:34:41.5649524Z         ...   torch.optim.Adam, lr, optim_params=params_to_opt,  betas=betas, eps=eps
2025-03-14T04:34:41.5649626Z         ... )
2025-03-14T04:34:41.5649716Z     
2025-03-14T04:34:41.5649994Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5650081Z     
2025-03-14T04:34:41.5650200Z       warnings.warn(msg)
2025-03-14T04:34:41.5650285Z     
2025-03-14T04:34:41.5650499Z --- Parse Warning: 98 / 116 ---
2025-03-14T04:34:41.5651525Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=convert_conv2d_weight_memory_format in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/memory_format.py line=6.
2025-03-14T04:34:41.5651813Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5652038Z     Convert ``memory_format`` of ``nn.Conv2d.weight`` to ``memory_format``.
2025-03-14T04:34:41.5652145Z     
2025-03-14T04:34:41.5652429Z         The conversion recursively applies to nested ``nn.Module``, including ``module``.
2025-03-14T04:34:41.5652729Z         Note that it only changes the memory_format, but not the semantics of each dimensions.
2025-03-14T04:34:41.5652995Z         This function is used to facilitate the computation to adopt NHWC kernels, which
2025-03-14T04:34:41.5653325Z         provides considerable speed up for fp16 data on CUDA devices with compute capability >= 7.0
2025-03-14T04:34:41.5653412Z     
2025-03-14T04:34:41.5653521Z         .. note::
2025-03-14T04:34:41.5653794Z             Calling ``model.to(memory_format=torch.channels_last)`` is more aggressive
2025-03-14T04:34:41.5654039Z             than the utility function ``convert_conv2d_weight_memory_format``. Any
2025-03-14T04:34:41.5654255Z             layer with 4d weight will be affected by ``model.to``, which does not
2025-03-14T04:34:41.5654498Z             necessarily benefit from conversion to specified ``memory_format``.
2025-03-14T04:34:41.5654731Z             One place we are confident in is that NHWC(channels_last) conversion for
2025-03-14T04:34:41.5654968Z             convolution in cuDNN, as it is beneficial to run convolution in NHWC,
2025-03-14T04:34:41.5655176Z             even in cases where we have to apply permutation to input tensors.
2025-03-14T04:34:41.5655274Z     
2025-03-14T04:34:41.5655505Z             Hence our strategy here is to convert only the weight of convolution to
2025-03-14T04:34:41.5655639Z             channels_last. This ensures that;
2025-03-14T04:34:41.5655896Z             1. Fast convolution kernels will be used, the benefit of which could
2025-03-14T04:34:41.5656151Z             outweigh overhead of permutation (if input is not in the same format).
2025-03-14T04:34:41.5656392Z             2. No unnecessary permutations are applied on layers that do not benefit
2025-03-14T04:34:41.5656522Z             from memory_format conversion.
2025-03-14T04:34:41.5656609Z     
2025-03-14T04:34:41.5656878Z             The optimal case is that, layers between convolution layers are channels
2025-03-14T04:34:41.5657122Z             last compatible. Input tensor would be permuted to channels last when it
2025-03-14T04:34:41.5657370Z             encounters the first convolution layer and stay in that memory format.
2025-03-14T04:34:41.5657616Z             Hence following convolutions will not need to permute its input tensor.
2025-03-14T04:34:41.5657715Z     
2025-03-14T04:34:41.5657944Z             In case where a channels last incompatible layer is between convolution
2025-03-14T04:34:41.5658207Z             layers, we need to permute the input tensor back to contiguous format
2025-03-14T04:34:41.5658438Z             for that layer. The input tensor will go through the remaining layers in
2025-03-14T04:34:41.5658683Z             contiguous format and be permuted to channels last when it encounters
2025-03-14T04:34:41.5658900Z             another convolution layer. There's no point in propagating that
2025-03-14T04:34:41.5659141Z             permutation to an earlier layer, as most layers are quite agnostic to
2025-03-14T04:34:41.5659246Z             ``memory_format``.
2025-03-14T04:34:41.5659345Z     
2025-03-14T04:34:41.5659585Z             This claim might change when PyTorch supports fusion of permutation, as
2025-03-14T04:34:41.5659825Z             there might have been a better spot to fuse the permutation other than
2025-03-14T04:34:41.5659952Z             immediately before a convolution.
2025-03-14T04:34:41.5660051Z     
2025-03-14T04:34:41.5660142Z         Args:
2025-03-14T04:34:41.5660378Z             module (nn.Module): ``nn.Conv2d`` & ``nn.ConvTranspose2d`` or container
2025-03-14T04:34:41.5660491Z                                 ``nn.Module``
2025-03-14T04:34:41.5660657Z             memory_format: user specified ``memory_format``,
2025-03-14T04:34:41.5660846Z                 e.g. ``torch.channels_last`` or ``torch.contiguous_format``
2025-03-14T04:34:41.5660942Z     
2025-03-14T04:34:41.5661037Z         Returns:
2025-03-14T04:34:41.5661197Z             The original module with updated ``nn.Conv2d``
2025-03-14T04:34:41.5661285Z     
2025-03-14T04:34:41.5661390Z         Example:
2025-03-14T04:34:41.5661538Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-03-14T04:34:41.5661709Z             >>> # xdoctest: +REQUIRES(env:CUBLAS_WORKSPACE_CONFIG)
2025-03-14T04:34:41.5661947Z             >>> input = torch.randint(1, 10, (2, 8, 4, 4), dtype=torch.float16, device="cuda")
2025-03-14T04:34:41.5662069Z             >>> model = nn.Sequential(
2025-03-14T04:34:41.5662197Z             >>>     nn.Conv2d(8, 4, 3)).cuda().half()
2025-03-14T04:34:41.5662341Z             >>> # This is identical to:
2025-03-14T04:34:41.5662596Z             >>> # nn.utils.convert_conv2d_weight_memory_format(model, torch.channels_last)
2025-03-14T04:34:41.5662876Z             >>> model = nn.utils.convert_conv2d_weight_memory_format(model, torch.channels_last)
2025-03-14T04:34:41.5662984Z             >>> out = model(input)
2025-03-14T04:34:41.5663081Z         
2025-03-14T04:34:41.5663345Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5663437Z     
2025-03-14T04:34:41.5663540Z       warnings.warn(msg)
2025-03-14T04:34:41.5663623Z     
2025-03-14T04:34:41.5663833Z --- Parse Warning: 99 / 116 ---
2025-03-14T04:34:41.5664870Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=convert_conv3d_weight_memory_format in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/memory_format.py line=81.
2025-03-14T04:34:41.5665175Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5665403Z     Convert ``memory_format`` of ``nn.Conv3d.weight`` to ``memory_format``
2025-03-14T04:34:41.5665692Z         The conversion recursively applies to nested ``nn.Module``, including ``module``.
2025-03-14T04:34:41.5666006Z         Note that it only changes the memory_format, but not the semantics of each dimensions.
2025-03-14T04:34:41.5666271Z         This function is used to facilitate the computation to adopt NHWC kernels, which
2025-03-14T04:34:41.5666597Z         provides considerable speed up for fp16 data on CUDA devices with compute capability >= 7.0
2025-03-14T04:34:41.5666685Z     
2025-03-14T04:34:41.5666789Z         .. note::
2025-03-14T04:34:41.5667311Z             Calling ``model.to(memory_format=torch.channels_last_3d)`` is more aggressive
2025-03-14T04:34:41.5667564Z             than the utility function ``convert_conv3d_weight_memory_format``. Any
2025-03-14T04:34:41.5667852Z             layer with 4d weight will be affected by ``model.to``, which does not
2025-03-14T04:34:41.5668103Z             necessarily benefit from conversion to specified ``memory_format``.
2025-03-14T04:34:41.5668350Z             One place we are confident in is that NDHWC(channels_last_3d) conversion for
2025-03-14T04:34:41.5668598Z             convolution in cuDNN, as it is beneficial to run convolution in NDHWC,
2025-03-14T04:34:41.5668812Z             even in cases where we have to apply permutation to input tensors.
2025-03-14T04:34:41.5668915Z     
2025-03-14T04:34:41.5669153Z             Hence our strategy here is to convert only the weight of convolution to
2025-03-14T04:34:41.5669296Z             channels_last_3d. This ensures that;
2025-03-14T04:34:41.5669525Z             1. Fast convolution kernels will be used, the benefit of which could
2025-03-14T04:34:41.5669781Z             outweigh overhead of permutation (if input is not in the same format).
2025-03-14T04:34:41.5670032Z             2. No unnecessary permutations are applied on layers that do not benefit
2025-03-14T04:34:41.5670169Z             from memory_format conversion.
2025-03-14T04:34:41.5670259Z     
2025-03-14T04:34:41.5670509Z             The optimal case is that, layers between convolution layers are channels
2025-03-14T04:34:41.5670757Z             last compatible. Input tensor would be permuted to channels last when it
2025-03-14T04:34:41.5671013Z             encounters the first convolution layer and stay in that memory format.
2025-03-14T04:34:41.5671260Z             Hence following convolutions will not need to permute its input tensor.
2025-03-14T04:34:41.5671365Z     
2025-03-14T04:34:41.5671600Z             In case where a channels last incompatible layer is between convolution
2025-03-14T04:34:41.5671837Z             layers, we need to permute the input tensor back to contiguous format
2025-03-14T04:34:41.5672072Z             for that layer. The input tensor will go through the remaining layers in
2025-03-14T04:34:41.5672364Z             contiguous format and be permuted to channels last when it encounters
2025-03-14T04:34:41.5672589Z             another convolution layer. There's no point in propagating that
2025-03-14T04:34:41.5672833Z             permutation to an earlier layer, as most layers are quite agnostic to
2025-03-14T04:34:41.5672942Z             ``memory_format``.
2025-03-14T04:34:41.5673049Z     
2025-03-14T04:34:41.5673292Z             This claim might change when PyTorch supports fusion of permutation, as
2025-03-14T04:34:41.5673538Z             there might have been a better spot to fuse the permutation other than
2025-03-14T04:34:41.5673670Z             immediately before a convolution.
2025-03-14T04:34:41.5673776Z     
2025-03-14T04:34:41.5673867Z         Args:
2025-03-14T04:34:41.5674107Z             module (nn.Module): ``nn.Conv3d`` & ``nn.ConvTranspose3d`` or container
2025-03-14T04:34:41.5674220Z                                 ``nn.Module``
2025-03-14T04:34:41.5674421Z             memory_format: user specified ``memory_format``,
2025-03-14T04:34:41.5674622Z                 e.g. ``torch.channels_last`` or ``torch.contiguous_format``
2025-03-14T04:34:41.5674711Z     
2025-03-14T04:34:41.5674819Z         Returns:
2025-03-14T04:34:41.5674971Z             The original module with updated ``nn.Conv3d``
2025-03-14T04:34:41.5675072Z     
2025-03-14T04:34:41.5675233Z         Example:
2025-03-14T04:34:41.5675436Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-03-14T04:34:41.5675603Z             >>> # xdoctest: +REQUIRES(env:CUBLAS_WORKSPACE_CONFIG)
2025-03-14T04:34:41.5675858Z             >>> input = torch.randint(1, 10, (2, 8, 4, 4, 4), dtype=torch.float16, device="cuda")
2025-03-14T04:34:41.5675973Z             >>> model = nn.Sequential(
2025-03-14T04:34:41.5676111Z             >>>     nn.Conv3d(8, 4, 3)).cuda().half()
2025-03-14T04:34:41.5676224Z             >>> # This is identical to:
2025-03-14T04:34:41.5676507Z             >>> # nn.utils.convert_conv3d_weight_memory_format(model, torch.channels_last_3d)
2025-03-14T04:34:41.5676819Z             >>> model = nn.utils.convert_conv3d_weight_memory_format(model, torch.channels_last_3d)
2025-03-14T04:34:41.5676938Z             >>> out = model(input)
2025-03-14T04:34:41.5677027Z         
2025-03-14T04:34:41.5677305Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5677392Z     
2025-03-14T04:34:41.5677512Z       warnings.warn(msg)
2025-03-14T04:34:41.5677601Z     
2025-03-14T04:34:41.5677831Z --- Parse Warning: 100 / 116 ---
2025-03-14T04:34:41.5678755Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=random_structured in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py line=935.
2025-03-14T04:34:41.5679041Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5679288Z     Prune tensor by removing random channels along the specified dimension.
2025-03-14T04:34:41.5679389Z     
2025-03-14T04:34:41.5679632Z         Prunes tensor corresponding to parameter called ``name`` in ``module``
2025-03-14T04:34:41.5679871Z         by removing the specified ``amount`` of (currently unpruned) channels
2025-03-14T04:34:41.5680025Z         along the specified ``dim`` selected at random.
2025-03-14T04:34:41.5680246Z         Modifies module in place (and also return the modified module)
2025-03-14T04:34:41.5680339Z         by:
2025-03-14T04:34:41.5680443Z     
2025-03-14T04:34:41.5680661Z         1) adding a named buffer called ``name+'_mask'`` corresponding to the
2025-03-14T04:34:41.5680901Z            binary mask applied to the parameter ``name`` by the pruning method.
2025-03-14T04:34:41.5681119Z         2) replacing the parameter ``name`` by its pruned version, while the
2025-03-14T04:34:41.5681348Z            original (unpruned) parameter is stored in a new parameter named
2025-03-14T04:34:41.5681459Z            ``name+'_orig'``.
2025-03-14T04:34:41.5681583Z     
2025-03-14T04:34:41.5681677Z         Args:
2025-03-14T04:34:41.5681875Z             module (nn.Module): module containing the tensor to prune
2025-03-14T04:34:41.5682067Z             name (str): parameter name within ``module`` on which pruning
2025-03-14T04:34:41.5682181Z                     will act.
2025-03-14T04:34:41.5682362Z             amount (int or float): quantity of parameters to prune.
2025-03-14T04:34:41.5682558Z                 If ``float``, should be between 0.0 and 1.0 and represent the
2025-03-14T04:34:41.5682769Z                 fraction of parameters to prune. If ``int``, it represents the
2025-03-14T04:34:41.5682924Z                 absolute number of parameters to prune.
2025-03-14T04:34:41.5683132Z             dim (int): index of the dim along which we define channels to prune.
2025-03-14T04:34:41.5683236Z     
2025-03-14T04:34:41.5683329Z         Returns:
2025-03-14T04:34:41.5683568Z             module (nn.Module): modified (i.e. pruned) version of the input module
2025-03-14T04:34:41.5683687Z     
2025-03-14T04:34:41.5683796Z         Examples:
2025-03-14T04:34:41.5683905Z             >>> # xdoctest: +SKIP
2025-03-14T04:34:41.5684045Z             >>> m = prune.random_structured(
2025-03-14T04:34:41.5684189Z             ...     nn.Linear(5, 3), 'weight', amount=3, dim=1
2025-03-14T04:34:41.5684293Z             ... )
2025-03-14T04:34:41.5684524Z             >>> columns_pruned = int(sum(torch.sum(m.weight, dim=0) == 0))
2025-03-14T04:34:41.5684652Z             >>> print(columns_pruned)
2025-03-14T04:34:41.5684743Z             3
2025-03-14T04:34:41.5684834Z         
2025-03-14T04:34:41.5685108Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5685196Z     
2025-03-14T04:34:41.5685315Z       warnings.warn(msg)
2025-03-14T04:34:41.5685402Z     
2025-03-14T04:34:41.5685613Z --- Parse Warning: 101 / 116 ---
2025-03-14T04:34:41.5686514Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ln_structured in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py line=976.
2025-03-14T04:34:41.5686826Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5687146Z     Prune tensor by removing channels with the lowest L\ ``n``-norm along the specified dimension.
2025-03-14T04:34:41.5687248Z     
2025-03-14T04:34:41.5687493Z         Prunes tensor corresponding to parameter called ``name`` in ``module``
2025-03-14T04:34:41.5687730Z         by removing the specified ``amount`` of (currently unpruned) channels
2025-03-14T04:34:41.5687915Z         along the specified ``dim`` with the lowest L\ ``n``-norm.
2025-03-14T04:34:41.5688133Z         Modifies module in place (and also return the modified module)
2025-03-14T04:34:41.5688225Z         by:
2025-03-14T04:34:41.5688325Z     
2025-03-14T04:34:41.5688544Z         1) adding a named buffer called ``name+'_mask'`` corresponding to the
2025-03-14T04:34:41.5688788Z            binary mask applied to the parameter ``name`` by the pruning method.
2025-03-14T04:34:41.5689007Z         2) replacing the parameter ``name`` by its pruned version, while the
2025-03-14T04:34:41.5689237Z            original (unpruned) parameter is stored in a new parameter named
2025-03-14T04:34:41.5689341Z            ``name+'_orig'``.
2025-03-14T04:34:41.5689442Z     
2025-03-14T04:34:41.5689534Z         Args:
2025-03-14T04:34:41.5689732Z             module (nn.Module): module containing the tensor to prune
2025-03-14T04:34:41.5689923Z             name (str): parameter name within ``module`` on which pruning
2025-03-14T04:34:41.5690034Z                     will act.
2025-03-14T04:34:41.5690215Z             amount (int or float): quantity of parameters to prune.
2025-03-14T04:34:41.5690409Z                 If ``float``, should be between 0.0 and 1.0 and represent the
2025-03-14T04:34:41.5690620Z                 fraction of parameters to prune. If ``int``, it represents the
2025-03-14T04:34:41.5690803Z                 absolute number of parameters to prune.
2025-03-14T04:34:41.5691005Z             n (int, float, inf, -inf, 'fro', 'nuc'): See documentation of valid
2025-03-14T04:34:41.5691182Z                 entries for argument ``p`` in :func:`torch.norm`.
2025-03-14T04:34:41.5691390Z             dim (int): index of the dim along which we define channels to prune.
2025-03-14T04:34:41.5691647Z             importance_scores (torch.Tensor): tensor of importance scores (of same
2025-03-14T04:34:41.5691844Z                 shape as module parameter) used to compute mask for pruning.
2025-03-14T04:34:41.5692085Z                 The values in this tensor indicate the importance of the corresponding
2025-03-14T04:34:41.5692224Z                 elements in the parameter being pruned.
2025-03-14T04:34:41.5692471Z                 If unspecified or None, the module parameter will be used in its place.
2025-03-14T04:34:41.5692586Z     
2025-03-14T04:34:41.5692692Z         Returns:
2025-03-14T04:34:41.5692921Z             module (nn.Module): modified (i.e. pruned) version of the input module
2025-03-14T04:34:41.5693021Z     
2025-03-14T04:34:41.5693117Z         Examples:
2025-03-14T04:34:41.5693259Z             >>> from torch.nn.utils import prune
2025-03-14T04:34:41.5693374Z             >>> m = prune.ln_structured(
2025-03-14T04:34:41.5693605Z             ...     nn.Conv2d(5, 3, 2), 'weight', amount=0.3, dim=1, n=float('-inf')
2025-03-14T04:34:41.5693698Z             ... )
2025-03-14T04:34:41.5693800Z         
2025-03-14T04:34:41.5694066Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5694164Z     
2025-03-14T04:34:41.5694272Z       warnings.warn(msg)
2025-03-14T04:34:41.5694375Z     
2025-03-14T04:34:41.5694575Z --- Parse Warning: 102 / 116 ---
2025-03-14T04:34:41.5695524Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=global_unstructured in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py line=1023.
2025-03-14T04:34:41.5695825Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5695930Z     
2025-03-14T04:34:41.5696379Z     Globally prunes tensors corresponding to all parameters in ``parameters`` by applying the specified ``pruning_method``.
2025-03-14T04:34:41.5696487Z     
2025-03-14T04:34:41.5696609Z     Modifies modules in place by:
2025-03-14T04:34:41.5696711Z     
2025-03-14T04:34:41.5696929Z     1) adding a named buffer called ``name+'_mask'`` corresponding to the
2025-03-14T04:34:41.5697168Z        binary mask applied to the parameter ``name`` by the pruning method.
2025-03-14T04:34:41.5697388Z     2) replacing the parameter ``name`` by its pruned version, while the
2025-03-14T04:34:41.5697616Z        original (unpruned) parameter is stored in a new parameter named
2025-03-14T04:34:41.5697716Z        ``name+'_orig'``.
2025-03-14T04:34:41.5697818Z     
2025-03-14T04:34:41.5697911Z     Args:
2025-03-14T04:34:41.5698133Z         parameters (Iterable of (module, name) tuples): parameters of
2025-03-14T04:34:41.5698334Z             the model to prune in a global fashion, i.e. by aggregating all
2025-03-14T04:34:41.5698565Z             weights prior to deciding which ones to prune. module must be of
2025-03-14T04:34:41.5698728Z             type :class:`nn.Module`, and name must be a string.
2025-03-14T04:34:41.5698970Z         pruning_method (function): a valid pruning function from this module,
2025-03-14T04:34:41.5699156Z             or a custom one implemented by the user that satisfies the
2025-03-14T04:34:41.5699407Z             implementation guidelines and has ``PRUNING_TYPE='unstructured'``.
2025-03-14T04:34:41.5699647Z         importance_scores (dict): a dictionary mapping (module, name) tuples to
2025-03-14T04:34:41.5699892Z             the corresponding parameter's importance scores tensor. The tensor
2025-03-14T04:34:41.5700215Z             should be the same shape as the parameter, and is used for computing
2025-03-14T04:34:41.5700338Z             mask for pruning.
2025-03-14T04:34:41.5700557Z             If unspecified or None, the parameter will be used in place of its
2025-03-14T04:34:41.5700681Z             importance scores.
2025-03-14T04:34:41.5700818Z         kwargs: other keyword arguments such as:
2025-03-14T04:34:41.5701043Z             amount (int or float): quantity of parameters to prune across the
2025-03-14T04:34:41.5701158Z             specified parameters.
2025-03-14T04:34:41.5701355Z             If ``float``, should be between 0.0 and 1.0 and represent the
2025-03-14T04:34:41.5701566Z             fraction of parameters to prune. If ``int``, it represents the
2025-03-14T04:34:41.5701719Z             absolute number of parameters to prune.
2025-03-14T04:34:41.5701809Z     
2025-03-14T04:34:41.5701902Z     Raises:
2025-03-14T04:34:41.5702078Z         TypeError: if ``PRUNING_TYPE != 'unstructured'``
2025-03-14T04:34:41.5702195Z     
2025-03-14T04:34:41.5702304Z     Note:
2025-03-14T04:34:41.5702532Z         Since global structured pruning doesn't make much sense unless the
2025-03-14T04:34:41.5702756Z         norm is normalized by the size of the parameter, we now limit the
2025-03-14T04:34:41.5702917Z         scope of global pruning to unstructured methods.
2025-03-14T04:34:41.5703023Z     
2025-03-14T04:34:41.5703120Z     Examples:
2025-03-14T04:34:41.5703288Z         >>> from torch.nn.utils import prune
2025-03-14T04:34:41.5703424Z         >>> from collections import OrderedDict
2025-03-14T04:34:41.5703566Z         >>> net = nn.Sequential(OrderedDict([
2025-03-14T04:34:41.5703686Z         ...     ('first', nn.Linear(10, 4)),
2025-03-14T04:34:41.5703817Z         ...     ('second', nn.Linear(4, 1)),
2025-03-14T04:34:41.5703912Z         ... ]))
2025-03-14T04:34:41.5704041Z         >>> parameters_to_prune = (
2025-03-14T04:34:41.5704154Z         ...     (net.first, 'weight'),
2025-03-14T04:34:41.5704285Z         ...     (net.second, 'weight'),
2025-03-14T04:34:41.5704409Z         ... )
2025-03-14T04:34:41.5704543Z         >>> prune.global_unstructured(
2025-03-14T04:34:41.5704655Z         ...     parameters_to_prune,
2025-03-14T04:34:41.5704814Z         ...     pruning_method=prune.L1Unstructured,
2025-03-14T04:34:41.5704916Z         ...     amount=10,
2025-03-14T04:34:41.5705021Z         ... )
2025-03-14T04:34:41.5705256Z         >>> print(sum(torch.nn.utils.parameters_to_vector(net.buffers()) == 0))
2025-03-14T04:34:41.5705369Z         tensor(10)
2025-03-14T04:34:41.5705460Z     
2025-03-14T04:34:41.5705563Z     
2025-03-14T04:34:41.5705828Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5705917Z     
2025-03-14T04:34:41.5706033Z       warnings.warn(msg)
2025-03-14T04:34:41.5706410Z     
2025-03-14T04:34:41.5706624Z --- Parse Warning: 103 / 116 ---
2025-03-14T04:34:41.5707535Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=custom_from_mask in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py line=1142.
2025-03-14T04:34:41.5707826Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5708247Z     Prune tensor corresponding to parameter called ``name`` in ``module`` by applying the pre-computed mask in ``mask``.
2025-03-14T04:34:41.5708337Z     
2025-03-14T04:34:41.5708572Z         Modifies module in place (and also return the modified module) by:
2025-03-14T04:34:41.5708660Z     
2025-03-14T04:34:41.5708893Z         1) adding a named buffer called ``name+'_mask'`` corresponding to the
2025-03-14T04:34:41.5709122Z            binary mask applied to the parameter ``name`` by the pruning method.
2025-03-14T04:34:41.5709356Z         2) replacing the parameter ``name`` by its pruned version, while the
2025-03-14T04:34:41.5709574Z            original (unpruned) parameter is stored in a new parameter named
2025-03-14T04:34:41.5709694Z            ``name+'_orig'``.
2025-03-14T04:34:41.5709810Z     
2025-03-14T04:34:41.5709903Z         Args:
2025-03-14T04:34:41.5710102Z             module (nn.Module): module containing the tensor to prune
2025-03-14T04:34:41.5710293Z             name (str): parameter name within ``module`` on which pruning
2025-03-14T04:34:41.5710404Z                 will act.
2025-03-14T04:34:41.5710590Z             mask (Tensor): binary mask to be applied to the parameter.
2025-03-14T04:34:41.5710691Z     
2025-03-14T04:34:41.5710785Z         Returns:
2025-03-14T04:34:41.5711031Z             module (nn.Module): modified (i.e. pruned) version of the input module
2025-03-14T04:34:41.5711119Z     
2025-03-14T04:34:41.5711226Z         Examples:
2025-03-14T04:34:41.5711357Z             >>> from torch.nn.utils import prune
2025-03-14T04:34:41.5711490Z             >>> m = prune.custom_from_mask(
2025-03-14T04:34:41.5711676Z             ...     nn.Linear(5, 3), name='bias', mask=torch.tensor([0, 1, 0])
2025-03-14T04:34:41.5711814Z             ... )
2025-03-14T04:34:41.5711928Z             >>> print(m.bias_mask)
2025-03-14T04:34:41.5712044Z             tensor([0., 1., 0.])
2025-03-14T04:34:41.5712132Z     
2025-03-14T04:34:41.5712233Z         
2025-03-14T04:34:41.5712497Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5712598Z     
2025-03-14T04:34:41.5712703Z       warnings.warn(msg)
2025-03-14T04:34:41.5712827Z     
2025-03-14T04:34:41.5713024Z --- Parse Warning: 104 / 116 ---
2025-03-14T04:34:41.5713944Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=AveragedModel in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/swa_utils.py line=117.
2025-03-14T04:34:41.5714217Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5714606Z     Implements averaged model for Stochastic Weight Averaging (SWA) and Exponential Moving Average (EMA).
2025-03-14T04:34:41.5714726Z     
2025-03-14T04:34:41.5714990Z         Stochastic Weight Averaging was proposed in `Averaging Weights Leads to
2025-03-14T04:34:41.5715330Z         Wider Optima and Better Generalization`_ by Pavel Izmailov, Dmitrii
2025-03-14T04:34:41.5715575Z         Podoprikhin, Timur Garipov, Dmitry Vetrov and Andrew Gordon Wilson
2025-03-14T04:34:41.5715673Z         (UAI 2018).
2025-03-14T04:34:41.5715778Z     
2025-03-14T04:34:41.5716006Z         Exponential Moving Average is a variation of `Polyak averaging`_,
2025-03-14T04:34:41.5716275Z         but using exponential weights instead of equal weights across iterations.
2025-03-14T04:34:41.5716365Z     
2025-03-14T04:34:41.5716631Z         AveragedModel class creates a copy of the provided module :attr:`model`
2025-03-14T04:34:41.5716865Z         on the device :attr:`device` and allows to compute running averages of the
2025-03-14T04:34:41.5717003Z         parameters of the :attr:`model`.
2025-03-14T04:34:41.5717097Z     
2025-03-14T04:34:41.5717203Z         Args:
2025-03-14T04:34:41.5717366Z             model (torch.nn.Module): model to use with SWA/EMA
2025-03-14T04:34:41.5717627Z             device (torch.device, optional): if provided, the averaged model will be
2025-03-14T04:34:41.5717747Z                 stored on the :attr:`device`
2025-03-14T04:34:41.5717974Z             avg_fn (function, optional): the averaging function used to update
2025-03-14T04:34:41.5718186Z                 parameters; the function must take in the current value of the
2025-03-14T04:34:41.5718432Z                 :class:`AveragedModel` parameter, the current value of :attr:`model`
2025-03-14T04:34:41.5718639Z                 parameter, and the number of models already averaged; if None,
2025-03-14T04:34:41.5718820Z                 an equally weighted average is used (default: None)
2025-03-14T04:34:41.5719057Z             multi_avg_fn (function, optional): the averaging function used to update
2025-03-14T04:34:41.5719357Z                 parameters inplace; the function must take in the current values of the
2025-03-14T04:34:41.5719637Z                 :class:`AveragedModel` parameters as a list, the current values of :attr:`model`
2025-03-14T04:34:41.5719889Z                 parameters as a list, and the number of models already averaged; if None,
2025-03-14T04:34:41.5720057Z                 an equally weighted average is used (default: None)
2025-03-14T04:34:41.5720285Z             use_buffers (bool): if ``True``, it will compute running averages for
2025-03-14T04:34:41.5720518Z                 both the parameters and the buffers of the model. (default: ``False``)
2025-03-14T04:34:41.5720619Z     
2025-03-14T04:34:41.5720713Z         Example:
2025-03-14T04:34:41.5720865Z             >>> # xdoctest: +SKIP("undefined variables")
2025-03-14T04:34:41.5721003Z             >>> loader, optimizer, model, loss_fn = ...
2025-03-14T04:34:41.5721195Z             >>> swa_model = torch.optim.swa_utils.AveragedModel(model)
2025-03-14T04:34:41.5721477Z             >>> scheduler = torch.optim.lr_scheduler.CosineAnnealingLR(optimizer,
2025-03-14T04:34:41.5721612Z             >>>                                     T_max=300)
2025-03-14T04:34:41.5721718Z             >>> swa_start = 160
2025-03-14T04:34:41.5721884Z             >>> swa_scheduler = SWALR(optimizer, swa_lr=0.05)
2025-03-14T04:34:41.5721993Z             >>> for i in range(300):
2025-03-14T04:34:41.5722158Z             >>>      for input, target in loader:
2025-03-14T04:34:41.5722282Z             >>>          optimizer.zero_grad()
2025-03-14T04:34:41.5722440Z             >>>          loss_fn(model(input), target).backward()
2025-03-14T04:34:41.5722556Z             >>>          optimizer.step()
2025-03-14T04:34:41.5722668Z             >>>      if i > swa_start:
2025-03-14T04:34:41.5722820Z             >>>          swa_model.update_parameters(model)
2025-03-14T04:34:41.5722939Z             >>>          swa_scheduler.step()
2025-03-14T04:34:41.5723048Z             >>>      else:
2025-03-14T04:34:41.5723195Z             >>>          scheduler.step()
2025-03-14T04:34:41.5723300Z             >>>
2025-03-14T04:34:41.5723465Z             >>> # Update bn statistics for the swa_model at the end
2025-03-14T04:34:41.5723650Z             >>> torch.optim.swa_utils.update_bn(loader, swa_model)
2025-03-14T04:34:41.5723740Z     
2025-03-14T04:34:41.5724067Z         You can also use custom averaging functions with the `avg_fn` or `multi_avg_fn` parameters.
2025-03-14T04:34:41.5724273Z         If no averaging function is provided, the default is to compute
2025-03-14T04:34:41.5724442Z         equally-weighted average of the weights (SWA).
2025-03-14T04:34:41.5724530Z     
2025-03-14T04:34:41.5724634Z         Example:
2025-03-14T04:34:41.5724775Z             >>> # xdoctest: +SKIP("undefined variables")
2025-03-14T04:34:41.5725006Z             >>> # Compute exponential moving averages of the weights and buffers
2025-03-14T04:34:41.5725185Z             >>> ema_model = torch.optim.swa_utils.AveragedModel(model,
2025-03-14T04:34:41.5725428Z             >>>             torch.optim.swa_utils.get_ema_multi_avg_fn(0.9), use_buffers=True)
2025-03-14T04:34:41.5725518Z     
2025-03-14T04:34:41.5725632Z         .. note::
2025-03-14T04:34:41.5725863Z             When using SWA/EMA with models containing Batch Normalization you may
2025-03-14T04:34:41.5726092Z             need to update the activation statistics for Batch Normalization.
2025-03-14T04:34:41.5726334Z             This can be done either by using the :meth:`torch.optim.swa_utils.update_bn`
2025-03-14T04:34:41.5726583Z             or by setting :attr:`use_buffers` to `True`. The first approach updates the
2025-03-14T04:34:41.5726837Z             statistics in a post-training step by passing data through the model. The
2025-03-14T04:34:41.5727102Z             second does it during the parameter update phase by averaging all buffers.
2025-03-14T04:34:41.5727357Z             Empirical evidence has shown that updating the statistics in normalization
2025-03-14T04:34:41.5727640Z             layers increases accuracy, but you may wish to empirically test which
2025-03-14T04:34:41.5727807Z             approach yields the best results in your problem.
2025-03-14T04:34:41.5727910Z     
2025-03-14T04:34:41.5728008Z         .. note::
2025-03-14T04:34:41.5728286Z             :attr:`avg_fn` and `multi_avg_fn` are not saved in the :meth:`state_dict` of the model.
2025-03-14T04:34:41.5728376Z     
2025-03-14T04:34:41.5728484Z         .. note::
2025-03-14T04:34:41.5728695Z             When :meth:`update_parameters` is called for the first time (i.e.
2025-03-14T04:34:41.5728899Z             :attr:`n_averaged` is `0`) the parameters of `model` are copied
2025-03-14T04:34:41.5729111Z             to the parameters of :class:`AveragedModel`. For every subsequent
2025-03-14T04:34:41.5729320Z             call of :meth:`update_parameters` the function `avg_fn` is used
2025-03-14T04:34:41.5729439Z             to update the parameters.
2025-03-14T04:34:41.5729539Z     
2025-03-14T04:34:41.5729804Z         .. _Averaging Weights Leads to Wider Optima and Better Generalization:
2025-03-14T04:34:41.5729954Z             https://arxiv.org/abs/1803.05407
2025-03-14T04:34:41.5730203Z         .. _There Are Many Consistent Explanations of Unlabeled Data: Why You Should
2025-03-14T04:34:41.5730309Z             Average:
2025-03-14T04:34:41.5730436Z             https://arxiv.org/abs/1806.05594
2025-03-14T04:34:41.5730696Z         .. _SWALP: Stochastic Weight Averaging in Low-Precision Training:
2025-03-14T04:34:41.5730821Z             https://arxiv.org/abs/1904.11943
2025-03-14T04:34:41.5731070Z         .. _Stochastic Weight Averaging in Parallel: Large-Batch Training That
2025-03-14T04:34:41.5731180Z             Generalizes Well:
2025-03-14T04:34:41.5731321Z             https://arxiv.org/abs/2001.02312
2025-03-14T04:34:41.5731428Z         .. _Polyak averaging:
2025-03-14T04:34:41.5731623Z             https://paperswithcode.com/method/polyak-averaging
2025-03-14T04:34:41.5731716Z         
2025-03-14T04:34:41.5732030Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5732121Z     
2025-03-14T04:34:41.5732243Z       warnings.warn(msg)
2025-03-14T04:34:41.5732333Z     
2025-03-14T04:34:41.5732565Z --- Parse Warning: 105 / 116 ---
2025-03-14T04:34:41.5733440Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SWALR in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/swa_utils.py line=369.
2025-03-14T04:34:41.5733729Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5733961Z     Anneals the learning rate in each parameter group to a fixed value.
2025-03-14T04:34:41.5734065Z     
2025-03-14T04:34:41.5734309Z         This learning rate scheduler is meant to be used with Stochastic Weight
2025-03-14T04:34:41.5734552Z         Averaging (SWA) method (see `torch.optim.swa_utils.AveragedModel`).
2025-03-14T04:34:41.5734648Z     
2025-03-14T04:34:41.5734755Z         Args:
2025-03-14T04:34:41.5734940Z             optimizer (torch.optim.Optimizer): wrapped optimizer
2025-03-14T04:34:41.5735170Z             swa_lrs (float or list): the learning rate value for all param groups
2025-03-14T04:34:41.5735314Z                 together or separately for each group.
2025-03-14T04:34:41.5735544Z             annealing_epochs (int): number of epochs in the annealing phase
2025-03-14T04:34:41.5735652Z                 (default: 10)
2025-03-14T04:34:41.5735892Z             annealing_strategy (str): "cos" or "linear"; specifies the annealing
2025-03-14T04:34:41.5736113Z                 strategy: "cos" for cosine annealing, "linear" for linear annealing
2025-03-14T04:34:41.5736239Z                 (default: "cos")
2025-03-14T04:34:41.5736431Z             last_epoch (int): the index of the last epoch (default: -1)
2025-03-14T04:34:41.5736520Z     
2025-03-14T04:34:41.5736724Z         The :class:`SWALR` scheduler can be used together with other
2025-03-14T04:34:41.5736988Z         schedulers to switch to a constant learning rate late in the training
2025-03-14T04:34:41.5737111Z         as in the example below.
2025-03-14T04:34:41.5737202Z     
2025-03-14T04:34:41.5737314Z         Example:
2025-03-14T04:34:41.5737456Z             >>> # xdoctest: +SKIP("Undefined variables")
2025-03-14T04:34:41.5737598Z             >>> loader, optimizer, model = ...
2025-03-14T04:34:41.5737723Z             >>> lr_lambda = lambda epoch: 0.9
2025-03-14T04:34:41.5737969Z             >>> scheduler = torch.optim.lr_scheduler.MultiplicativeLR(optimizer,
2025-03-14T04:34:41.5738084Z             >>>        lr_lambda=lr_lambda)
2025-03-14T04:34:41.5738279Z             >>> swa_scheduler = torch.optim.swa_utils.SWALR(optimizer,
2025-03-14T04:34:41.5738467Z             >>>        anneal_strategy="linear", anneal_epochs=20, swa_lr=0.05)
2025-03-14T04:34:41.5738584Z             >>> swa_start = 160
2025-03-14T04:34:41.5738692Z             >>> for i in range(300):
2025-03-14T04:34:41.5738857Z             >>>      for input, target in loader:
2025-03-14T04:34:41.5738981Z             >>>          optimizer.zero_grad()
2025-03-14T04:34:41.5739135Z             >>>          loss_fn(model(input), target).backward()
2025-03-14T04:34:41.5739251Z             >>>          optimizer.step()
2025-03-14T04:34:41.5739370Z             >>>      if i > swa_start:
2025-03-14T04:34:41.5739491Z             >>>          swa_scheduler.step()
2025-03-14T04:34:41.5739626Z             >>>      else:
2025-03-14T04:34:41.5739741Z             >>>          scheduler.step()
2025-03-14T04:34:41.5739841Z     
2025-03-14T04:34:41.5740075Z         .. _Averaging Weights Leads to Wider Optima and Better Generalization:
2025-03-14T04:34:41.5740214Z             https://arxiv.org/abs/1803.05407
2025-03-14T04:34:41.5740303Z         
2025-03-14T04:34:41.5740577Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5740667Z     
2025-03-14T04:34:41.5740783Z       warnings.warn(msg)
2025-03-14T04:34:41.5740903Z     
2025-03-14T04:34:41.5741115Z --- Parse Warning: 106 / 116 ---
2025-03-14T04:34:41.5742041Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assert_close in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_comparison.py line=1263.
2025-03-14T04:34:41.5742328Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5742488Z     Asserts that ``actual`` and ``expected`` are close.
2025-03-14T04:34:41.5742593Z     
2025-03-14T04:34:41.5742975Z         If ``actual`` and ``expected`` are strided, non-quantized, real-valued, and finite, they are considered close if
2025-03-14T04:34:41.5743077Z     
2025-03-14T04:34:41.5743175Z         .. math::
2025-03-14T04:34:41.5743275Z     
2025-03-14T04:34:41.5743649Z             \lvert \text{actual} - \text{expected} \rvert \le \texttt{atol} + \texttt{rtol} \cdot \lvert \text{expected} \rvert
2025-03-14T04:34:41.5743752Z     
2025-03-14T04:34:41.5744111Z         Non-finite values (``-inf`` and ``inf``) are only considered close if and only if they are equal. ``NaN``'s are
2025-03-14T04:34:41.5744336Z         only considered equal to each other if ``equal_nan`` is ``True``.
2025-03-14T04:34:41.5744424Z     
2025-03-14T04:34:41.5744644Z         In addition, they are only considered close if they have the same
2025-03-14T04:34:41.5744732Z     
2025-03-14T04:34:41.5744948Z         - :attr:`~torch.Tensor.device` (if ``check_device`` is ``True``),
2025-03-14T04:34:41.5745088Z         - ``dtype`` (if ``check_dtype`` is ``True``),
2025-03-14T04:34:41.5745255Z         - ``layout`` (if ``check_layout`` is ``True``), and
2025-03-14T04:34:41.5745390Z         - stride (if ``check_stride`` is ``True``).
2025-03-14T04:34:41.5745491Z     
2025-03-14T04:34:41.5745802Z         If either ``actual`` or ``expected`` is a meta tensor, only the attribute checks will be performed.
2025-03-14T04:34:41.5745903Z     
2025-03-14T04:34:41.5746309Z         If ``actual`` and ``expected`` are sparse (either having COO, CSR, CSC, BSR, or BSC layout), their strided members are
2025-03-14T04:34:41.5746709Z         checked individually. Indices, namely ``indices`` for COO, ``crow_indices`` and ``col_indices`` for CSR and BSR,
2025-03-14T04:34:41.5746950Z         or ``ccol_indices``  and ``row_indices`` for CSC and BSC layouts, respectively,
2025-03-14T04:34:41.5747364Z         are always checked for equality whereas the values are checked for closeness according to the definition above.
2025-03-14T04:34:41.5747455Z     
2025-03-14T04:34:41.5747761Z         If ``actual`` and ``expected`` are quantized, they are considered close if they have the same
2025-03-14T04:34:41.5748126Z         :meth:`~torch.Tensor.qscheme` and the result of :meth:`~torch.Tensor.dequantize` is close according to the
2025-03-14T04:34:41.5748246Z         definition above.
2025-03-14T04:34:41.5748336Z     
2025-03-14T04:34:41.5748666Z         ``actual`` and ``expected`` can be :class:`~torch.Tensor`'s or any tensor-or-scalar-likes from which
2025-03-14T04:34:41.5749083Z         :class:`torch.Tensor`'s can be constructed with :func:`torch.as_tensor`. Except for Python scalars the input types
2025-03-14T04:34:41.5749471Z         have to be directly related. In addition, ``actual`` and ``expected`` can be :class:`~collections.abc.Sequence`'s
2025-03-14T04:34:41.5749886Z         or :class:`~collections.abc.Mapping`'s in which case they are considered close if their structure matches and all
2025-03-14T04:34:41.5750140Z         their elements are considered close according to the above definition.
2025-03-14T04:34:41.5750230Z     
2025-03-14T04:34:41.5750343Z         .. note::
2025-03-14T04:34:41.5750431Z     
2025-03-14T04:34:41.5750789Z             Python scalars are an exception to the type relation requirement, because their :func:`type`, i.e.
2025-03-14T04:34:41.5751123Z             :class:`int`, :class:`float`, and :class:`complex`, is equivalent to the ``dtype`` of a tensor-like. Thus,
2025-03-14T04:34:41.5751455Z             Python scalars of different types can be checked, but require ``check_dtype=False``.
2025-03-14T04:34:41.5751544Z     
2025-03-14T04:34:41.5751646Z         Args:
2025-03-14T04:34:41.5751763Z             actual (Any): Actual input.
2025-03-14T04:34:41.5751897Z             expected (Any): Expected input.
2025-03-14T04:34:41.5752271Z             allow_subclasses (bool): If ``True`` (default) and except for Python scalars, inputs of directly related types
2025-03-14T04:34:41.5752449Z                 are allowed. Otherwise type equality is required.
2025-03-14T04:34:41.5752828Z             rtol (Optional[float]): Relative tolerance. If specified ``atol`` must also be specified. If omitted, default
2025-03-14T04:34:41.5753116Z                 values based on the :attr:`~torch.Tensor.dtype` are selected with the below table.
2025-03-14T04:34:41.5753489Z             atol (Optional[float]): Absolute tolerance. If specified ``rtol`` must also be specified. If omitted, default
2025-03-14T04:34:41.5753779Z                 values based on the :attr:`~torch.Tensor.dtype` are selected with the below table.
2025-03-14T04:34:41.5754036Z             equal_nan (Union[bool, str]): If ``True``, two ``NaN`` values will be considered equal.
2025-03-14T04:34:41.5754346Z             check_device (bool): If ``True`` (default), asserts that corresponding tensors are on the same
2025-03-14T04:34:41.5754605Z                 :attr:`~torch.Tensor.device`. If this check is disabled, tensors on different
2025-03-14T04:34:41.5754863Z                 :attr:`~torch.Tensor.device`'s are moved to the CPU before being compared.
2025-03-14T04:34:41.5755318Z             check_dtype (bool): If ``True`` (default), asserts that corresponding tensors have the same ``dtype``. If this
2025-03-14T04:34:41.5755692Z                 check is disabled, tensors with different ``dtype``'s are promoted  to a common ``dtype`` (according to
2025-03-14T04:34:41.5755862Z                 :func:`torch.promote_types`) before being compared.
2025-03-14T04:34:41.5756299Z             check_layout (bool): If ``True`` (default), asserts that corresponding tensors have the same ``layout``. If this
2025-03-14T04:34:41.5756647Z                 check is disabled, tensors with different ``layout``'s are converted to strided tensors before being
2025-03-14T04:34:41.5756760Z                 compared.
2025-03-14T04:34:41.5757138Z             check_stride (bool): If ``True`` and corresponding tensors are strided, asserts that they have the same stride.
2025-03-14T04:34:41.5757519Z             msg (Optional[Union[str, Callable[[str], str]]]): Optional error message to use in case a failure occurs during
2025-03-14T04:34:41.5757887Z                 the comparison. Can also passed as callable in which case it will be called with the generated message and
2025-03-14T04:34:41.5758024Z                 should return the new message.
2025-03-14T04:34:41.5758112Z     
2025-03-14T04:34:41.5758218Z         Raises:
2025-03-14T04:34:41.5758490Z             ValueError: If no :class:`torch.Tensor` can be constructed from an input.
2025-03-14T04:34:41.5758680Z             ValueError: If only ``rtol`` or ``atol`` is specified.
2025-03-14T04:34:41.5759019Z             AssertionError: If corresponding inputs are not Python scalars and are not directly related.
2025-03-14T04:34:41.5759429Z             AssertionError: If ``allow_subclasses`` is ``False``, but corresponding inputs are not Python scalars and have
2025-03-14T04:34:41.5759539Z                 different types.
2025-03-14T04:34:41.5759926Z             AssertionError: If the inputs are :class:`~collections.abc.Sequence`'s, but their length does not match.
2025-03-14T04:34:41.5760302Z             AssertionError: If the inputs are :class:`~collections.abc.Mapping`'s, but their set of keys do not match.
2025-03-14T04:34:41.5760641Z             AssertionError: If corresponding tensors do not have the same :attr:`~torch.Tensor.shape`.
2025-03-14T04:34:41.5760954Z             AssertionError: If ``check_layout`` is ``True``, but corresponding tensors do not have the same
2025-03-14T04:34:41.5761125Z                 :attr:`~torch.Tensor.layout`.
2025-03-14T04:34:41.5761355Z             AssertionError: If only one of corresponding tensors is quantized.
2025-03-14T04:34:41.5761767Z             AssertionError: If corresponding tensors are quantized, but have different :meth:`~torch.Tensor.qscheme`'s.
2025-03-14T04:34:41.5762075Z             AssertionError: If ``check_device`` is ``True``, but corresponding tensors are not on the same
2025-03-14T04:34:41.5762212Z                 :attr:`~torch.Tensor.device`.
2025-03-14T04:34:41.5762554Z             AssertionError: If ``check_dtype`` is ``True``, but corresponding tensors do not have the same ``dtype``.
2025-03-14T04:34:41.5762939Z             AssertionError: If ``check_stride`` is ``True``, but corresponding strided tensors do not have the same stride.
2025-03-14T04:34:41.5763328Z             AssertionError: If the values of corresponding tensors are not close according to the definition above.
2025-03-14T04:34:41.5763422Z     
2025-03-14T04:34:41.5763812Z         The following table displays the default ``rtol`` and ``atol`` for different ``dtype``'s. In case of mismatching
2025-03-14T04:34:41.5763975Z         ``dtype``'s, the maximum of both tolerances is used.
2025-03-14T04:34:41.5764079Z     
2025-03-14T04:34:41.5764221Z         +---------------------------+------------+----------+
2025-03-14T04:34:41.5764361Z         | ``dtype``                 | ``rtol``   | ``atol`` |
2025-03-14T04:34:41.5764491Z         +===========================+============+==========+
2025-03-14T04:34:41.5764638Z         | :attr:`~torch.float16`    | ``1e-3``   | ``1e-5`` |
2025-03-14T04:34:41.5764787Z         +---------------------------+------------+----------+
2025-03-14T04:34:41.5764935Z         | :attr:`~torch.bfloat16`   | ``1.6e-2`` | ``1e-5`` |
2025-03-14T04:34:41.5765082Z         +---------------------------+------------+----------+
2025-03-14T04:34:41.5765226Z         | :attr:`~torch.float32`    | ``1.3e-6`` | ``1e-5`` |
2025-03-14T04:34:41.5765401Z         +---------------------------+------------+----------+
2025-03-14T04:34:41.5765547Z         | :attr:`~torch.float64`    | ``1e-7``   | ``1e-7`` |
2025-03-14T04:34:41.5765691Z         +---------------------------+------------+----------+
2025-03-14T04:34:41.5765838Z         | :attr:`~torch.complex32`  | ``1e-3``   | ``1e-5`` |
2025-03-14T04:34:41.5765982Z         +---------------------------+------------+----------+
2025-03-14T04:34:41.5766131Z         | :attr:`~torch.complex64`  | ``1.3e-6`` | ``1e-5`` |
2025-03-14T04:34:41.5766275Z         +---------------------------+------------+----------+
2025-03-14T04:34:41.5766421Z         | :attr:`~torch.complex128` | ``1e-7``   | ``1e-7`` |
2025-03-14T04:34:41.5766566Z         +---------------------------+------------+----------+
2025-03-14T04:34:41.5766709Z         | :attr:`~torch.quint8`     | ``1.3e-6`` | ``1e-5`` |
2025-03-14T04:34:41.5766853Z         +---------------------------+------------+----------+
2025-03-14T04:34:41.5767215Z         | :attr:`~torch.quint2x4`   | ``1.3e-6`` | ``1e-5`` |
2025-03-14T04:34:41.5767363Z         +---------------------------+------------+----------+
2025-03-14T04:34:41.5767512Z         | :attr:`~torch.quint4x2`   | ``1.3e-6`` | ``1e-5`` |
2025-03-14T04:34:41.5767662Z         +---------------------------+------------+----------+
2025-03-14T04:34:41.5767878Z         | :attr:`~torch.qint8`      | ``1.3e-6`` | ``1e-5`` |
2025-03-14T04:34:41.5768025Z         +---------------------------+------------+----------+
2025-03-14T04:34:41.5768169Z         | :attr:`~torch.qint32`     | ``1.3e-6`` | ``1e-5`` |
2025-03-14T04:34:41.5768316Z         +---------------------------+------------+----------+
2025-03-14T04:34:41.5768450Z         | other                     | ``0.0``    | ``0.0``  |
2025-03-14T04:34:41.5768597Z         +---------------------------+------------+----------+
2025-03-14T04:34:41.5768688Z     
2025-03-14T04:34:41.5768803Z         .. note::
2025-03-14T04:34:41.5768934Z     
2025-03-14T04:34:41.5769348Z             :func:`~torch.testing.assert_close` is highly configurable with strict default settings. Users are encouraged
2025-03-14T04:34:41.5769716Z             to :func:`~functools.partial` it to fit their use case. For example, if an equality check is needed, one might
2025-03-14T04:34:41.5770003Z             define an ``assert_equal`` that uses zero tolerances for every ``dtype`` by default:
2025-03-14T04:34:41.5770098Z     
2025-03-14T04:34:41.5770225Z             >>> import functools
2025-03-14T04:34:41.5770499Z             >>> assert_equal = functools.partial(torch.testing.assert_close, rtol=0, atol=0)
2025-03-14T04:34:41.5770631Z             >>> assert_equal(1e-9, 1e-10)
2025-03-14T04:34:41.5770762Z             Traceback (most recent call last):
2025-03-14T04:34:41.5770871Z             ...
2025-03-14T04:34:41.5771007Z             AssertionError: Scalars are not equal!
2025-03-14T04:34:41.5771124Z             <BLANKLINE>
2025-03-14T04:34:41.5771250Z             Expected 1e-10 but got 1e-09.
2025-03-14T04:34:41.5771404Z             Absolute difference: 9.000000000000001e-10
2025-03-14T04:34:41.5771520Z             Relative difference: 9.0
2025-03-14T04:34:41.5771625Z     
2025-03-14T04:34:41.5771723Z         Examples:
2025-03-14T04:34:41.5771860Z             >>> # tensor to tensor comparison
2025-03-14T04:34:41.5772003Z             >>> expected = torch.tensor([1e0, 1e-1, 1e-2])
2025-03-14T04:34:41.5772164Z             >>> actual = torch.acos(torch.cos(expected))
2025-03-14T04:34:41.5772317Z             >>> torch.testing.assert_close(actual, expected)
2025-03-14T04:34:41.5772426Z     
2025-03-14T04:34:41.5772551Z             >>> # scalar to scalar comparison
2025-03-14T04:34:41.5772667Z             >>> import math
2025-03-14T04:34:41.5772783Z             >>> expected = math.sqrt(2.0)
2025-03-14T04:34:41.5772913Z             >>> actual = 2.0 / math.sqrt(2.0)
2025-03-14T04:34:41.5773066Z             >>> torch.testing.assert_close(actual, expected)
2025-03-14T04:34:41.5773174Z     
2025-03-14T04:34:41.5773350Z             >>> # numpy array to numpy array comparison
2025-03-14T04:34:41.5773473Z             >>> import numpy as np
2025-03-14T04:34:41.5773604Z             >>> expected = np.array([1e0, 1e-1, 1e-2])
2025-03-14T04:34:41.5773749Z             >>> actual = np.arccos(np.cos(expected))
2025-03-14T04:34:41.5773902Z             >>> torch.testing.assert_close(actual, expected)
2025-03-14T04:34:41.5773993Z     
2025-03-14T04:34:41.5774133Z             >>> # sequence to sequence comparison
2025-03-14T04:34:41.5774243Z             >>> import numpy as np
2025-03-14T04:34:41.5774517Z             >>> # The types of the sequences do not have to match. They only have to have the same
2025-03-14T04:34:41.5774658Z             >>> # length and their elements have to match.
2025-03-14T04:34:41.5774835Z             >>> expected = [torch.tensor([1.0]), 2.0, np.array(3.0)]
2025-03-14T04:34:41.5774950Z             >>> actual = tuple(expected)
2025-03-14T04:34:41.5775152Z             >>> torch.testing.assert_close(actual, expected)
2025-03-14T04:34:41.5775244Z     
2025-03-14T04:34:41.5775385Z             >>> # mapping to mapping comparison
2025-03-14T04:34:41.5775518Z             >>> from collections import OrderedDict
2025-03-14T04:34:41.5775639Z             >>> import numpy as np
2025-03-14T04:34:41.5775752Z             >>> foo = torch.tensor(1.0)
2025-03-14T04:34:41.5775862Z             >>> bar = 2.0
2025-03-14T04:34:41.5776000Z             >>> baz = np.array(3.0)
2025-03-14T04:34:41.5776281Z             >>> # The types and a possible ordering of mappings do not have to match. They only
2025-03-14T04:34:41.5776494Z             >>> # have to have the same set of keys and their elements have to match.
2025-03-14T04:34:41.5776721Z             >>> expected = OrderedDict([("foo", foo), ("bar", bar), ("baz", baz)])
2025-03-14T04:34:41.5776866Z             >>> actual = {"baz": baz, "bar": bar, "foo": foo}
2025-03-14T04:34:41.5777033Z             >>> torch.testing.assert_close(actual, expected)
2025-03-14T04:34:41.5777155Z     
2025-03-14T04:34:41.5777306Z             >>> expected = torch.tensor([1.0, 2.0, 3.0])
2025-03-14T04:34:41.5777427Z             >>> actual = expected.clone()
2025-03-14T04:34:41.5777618Z             >>> # By default, directly related instances can be compared
2025-03-14T04:34:41.5777846Z             >>> torch.testing.assert_close(torch.nn.Parameter(actual), expected)
2025-03-14T04:34:41.5778062Z             >>> # This check can be made more strict with allow_subclasses=False
2025-03-14T04:34:41.5778186Z             >>> torch.testing.assert_close(
2025-03-14T04:34:41.5778410Z             ...     torch.nn.Parameter(actual), expected, allow_subclasses=False
2025-03-14T04:34:41.5778502Z             ... )
2025-03-14T04:34:41.5778640Z             Traceback (most recent call last):
2025-03-14T04:34:41.5778732Z             ...
2025-03-14T04:34:41.5778959Z             TypeError: No comparison pair was able to handle inputs of type
2025-03-14T04:34:41.5779188Z             <class 'torch.nn.parameter.Parameter'> and <class 'torch.Tensor'>.
2025-03-14T04:34:41.5779438Z             >>> # If the inputs are not directly related, they are never considered close
2025-03-14T04:34:41.5779620Z             >>> torch.testing.assert_close(actual.numpy(), expected)
2025-03-14T04:34:41.5779760Z             Traceback (most recent call last):
2025-03-14T04:34:41.5779853Z             ...
2025-03-14T04:34:41.5780172Z             TypeError: No comparison pair was able to handle inputs of type <class 'numpy.ndarray'>
2025-03-14T04:34:41.5780290Z             and <class 'torch.Tensor'>.
2025-03-14T04:34:41.5780576Z             >>> # Exceptions to these rules are Python scalars. They can be checked regardless of
2025-03-14T04:34:41.5780705Z             >>> # their type if check_dtype=False.
2025-03-14T04:34:41.5780896Z             >>> torch.testing.assert_close(1.0, 1, check_dtype=False)
2025-03-14T04:34:41.5780987Z     
2025-03-14T04:34:41.5781111Z             >>> # NaN != NaN by default.
2025-03-14T04:34:41.5781276Z             >>> expected = torch.tensor(float("Nan"))
2025-03-14T04:34:41.5781410Z             >>> actual = expected.clone()
2025-03-14T04:34:41.5781567Z             >>> torch.testing.assert_close(actual, expected)
2025-03-14T04:34:41.5781707Z             Traceback (most recent call last):
2025-03-14T04:34:41.5781798Z             ...
2025-03-14T04:34:41.5781945Z             AssertionError: Scalars are not close!
2025-03-14T04:34:41.5782046Z             <BLANKLINE>
2025-03-14T04:34:41.5782175Z             Expected nan but got nan.
2025-03-14T04:34:41.5782328Z             Absolute difference: nan (up to 1e-05 allowed)
2025-03-14T04:34:41.5782499Z             Relative difference: nan (up to 1.3e-06 allowed)
2025-03-14T04:34:41.5782709Z             >>> torch.testing.assert_close(actual, expected, equal_nan=True)
2025-03-14T04:34:41.5782809Z     
2025-03-14T04:34:41.5782942Z             >>> expected = torch.tensor([1.0, 2.0, 3.0])
2025-03-14T04:34:41.5783082Z             >>> actual = torch.tensor([1.0, 4.0, 5.0])
2025-03-14T04:34:41.5783265Z             >>> # The default error message can be overwritten.
2025-03-14T04:34:41.5783579Z             >>> torch.testing.assert_close(actual, expected, msg="Argh, the tensors are not close!")
2025-03-14T04:34:41.5783705Z             Traceback (most recent call last):
2025-03-14T04:34:41.5783810Z             ...
2025-03-14T04:34:41.5783972Z             AssertionError: Argh, the tensors are not close!
2025-03-14T04:34:41.5784242Z             >>> # If msg is a callable, it can be used to augment the generated message with
2025-03-14T04:34:41.5784351Z             >>> # extra information
2025-03-14T04:34:41.5784475Z             >>> torch.testing.assert_close(
2025-03-14T04:34:41.5784698Z             ...     actual, expected, msg=lambda msg: f"Header\n\n{msg}\n\nFooter"
2025-03-14T04:34:41.5784789Z             ... )
2025-03-14T04:34:41.5784927Z             Traceback (most recent call last):
2025-03-14T04:34:41.5785020Z             ...
2025-03-14T04:34:41.5785147Z             AssertionError: Header
2025-03-14T04:34:41.5785290Z             <BLANKLINE>
2025-03-14T04:34:41.5785420Z             Tensor-likes are not close!
2025-03-14T04:34:41.5785518Z             <BLANKLINE>
2025-03-14T04:34:41.5785653Z             Mismatched elements: 2 / 3 (66.7%)
2025-03-14T04:34:41.5785888Z             Greatest absolute difference: 2.0 at index (1,) (up to 1e-05 allowed)
2025-03-14T04:34:41.5786139Z             Greatest relative difference: 1.0 at index (1,) (up to 1.3e-06 allowed)
2025-03-14T04:34:41.5786238Z             <BLANKLINE>
2025-03-14T04:34:41.5786344Z             Footer
2025-03-14T04:34:41.5786436Z         
2025-03-14T04:34:41.5786712Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5786801Z     
2025-03-14T04:34:41.5786921Z       warnings.warn(msg)
2025-03-14T04:34:41.5787008Z     
2025-03-14T04:34:41.5787252Z --- Parse Warning: 107 / 116 ---
2025-03-14T04:34:41.5788198Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=register_pytree_node in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py line=104.
2025-03-14T04:34:41.5788491Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5788644Z     Register a container-like type as pytree node.
2025-03-14T04:34:41.5788745Z     
2025-03-14T04:34:41.5788838Z         Args:
2025-03-14T04:34:41.5789049Z             cls (type): A Python type to treat as an internal pytree node.
2025-03-14T04:34:41.5789331Z             flatten_fn (callable): A function to be used during flattening, taking an instance of
2025-03-14T04:34:41.5789601Z                 ``cls`` and returning a pair, with (1) an iterable for the children to be flattened
2025-03-14T04:34:41.5789903Z                 recursively, and (2) some hashable auxiliary data to be stored in the treespec and to be
2025-03-14T04:34:41.5790043Z                 passed to the ``unflatten_fn``.
2025-03-14T04:34:41.5790365Z             unflatten_fn (callable): A function taking two arguments: the auxiliary data that was
2025-03-14T04:34:41.5790651Z                 returned by ``flatten_fn`` and stored in the treespec, and the unflattened children.
2025-03-14T04:34:41.5790817Z                 The function should return an instance of ``cls``.
2025-03-14T04:34:41.5791107Z             serialized_type_name (str, optional): A keyword argument used to specify the fully
2025-03-14T04:34:41.5791282Z                 qualified name used when serializing the tree spec.
2025-03-14T04:34:41.5791615Z             to_dumpable_context (callable, optional): An optional keyword argument to custom specify how
2025-03-14T04:34:41.5791907Z                 to convert the context of the pytree to a custom json dumpable representation. This is
2025-03-14T04:34:41.5792203Z                 used for json serialization, which is being used in :mod:`torch.export` right now.
2025-03-14T04:34:41.5792520Z             from_dumpable_context (callable, optional): An optional keyword argument to custom specify
2025-03-14T04:34:41.5792835Z                 how to convert the custom json dumpable representation of the context back to the
2025-03-14T04:34:41.5793106Z                 original context. This is used for json deserialization, which is being used in
2025-03-14T04:34:41.5793248Z                 :mod:`torch.export` right now.
2025-03-14T04:34:41.5793337Z     
2025-03-14T04:34:41.5793480Z         Example::
2025-03-14T04:34:41.5793571Z     
2025-03-14T04:34:41.5793691Z             >>> # xdoctest: +SKIP
2025-03-14T04:34:41.5793847Z             >>> # Registry a Python type with lambda functions
2025-03-14T04:34:41.5793975Z             >>> register_pytree_node(
2025-03-14T04:34:41.5794071Z             ...     set,
2025-03-14T04:34:41.5794215Z             ...     lambda s: (sorted(s), None, None),
2025-03-14T04:34:41.5794350Z             ...     lambda children, _: set(children),
2025-03-14T04:34:41.5794454Z             ... )
2025-03-14T04:34:41.5794574Z         
2025-03-14T04:34:41.5794853Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5794942Z     
2025-03-14T04:34:41.5795059Z       warnings.warn(msg)
2025-03-14T04:34:41.5795230Z     
2025-03-14T04:34:41.5795454Z --- Parse Warning: 108 / 116 ---
2025-03-14T04:34:41.5796461Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SelectiveCheckpointContext in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/checkpoint.py line=1200.
2025-03-14T04:34:41.5796750Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5796839Z     
2025-03-14T04:34:41.5797087Z     Context passed to policy function during selective checkpointing.
2025-03-14T04:34:41.5797178Z     
2025-03-14T04:34:41.5797431Z     This class is used to pass relevant metadata to the policy function during
2025-03-14T04:34:41.5797713Z     selective checkpointing. The metadata includes whether the current invocation
2025-03-14T04:34:41.5797900Z     of the policy function is during recomputation or not.
2025-03-14T04:34:41.5797989Z     
2025-03-14T04:34:41.5798097Z     Example:
2025-03-14T04:34:41.5798212Z         >>> # xdoctest: +SKIP(stub)
2025-03-14T04:34:41.5798317Z         >>>
2025-03-14T04:34:41.5798456Z         >>> def policy_fn(ctx, op, *args, **kwargs):
2025-03-14T04:34:41.5798591Z         >>>    print(ctx.is_recompute)
2025-03-14T04:34:41.5798685Z         >>>
2025-03-14T04:34:41.5798972Z         >>> context_fn = functools.partial(create_selective_checkpoint_contexts, policy_fn)
2025-03-14T04:34:41.5799078Z         >>>
2025-03-14T04:34:41.5799231Z         >>> out = torch.utils.checkpoint.checkpoint(
2025-03-14T04:34:41.5799346Z         >>>     fn, x, y,
2025-03-14T04:34:41.5799460Z         >>>     use_reentrant=False,
2025-03-14T04:34:41.5799590Z         >>>     context_fn=context_fn,
2025-03-14T04:34:41.5799683Z         >>> )
2025-03-14T04:34:41.5799792Z     
2025-03-14T04:34:41.5800094Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5800200Z     
2025-03-14T04:34:41.5800307Z       warnings.warn(msg)
2025-03-14T04:34:41.5800412Z     
2025-03-14T04:34:41.5800610Z --- Parse Warning: 109 / 116 ---
2025-03-14T04:34:41.5801647Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=create_selective_checkpoint_contexts in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/checkpoint.py line=1334.
2025-03-14T04:34:41.5801923Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5802028Z     
2025-03-14T04:34:41.5802278Z     Helper to avoid recomputing certain ops during activation checkpointing.
2025-03-14T04:34:41.5802380Z     
2025-03-14T04:34:41.5802604Z     Use this with `torch.utils.checkpoint.checkpoint` to control which
2025-03-14T04:34:41.5802838Z     operations are recomputed during the backward pass.
2025-03-14T04:34:41.5802929Z     
2025-03-14T04:34:41.5803035Z     Args:
2025-03-14T04:34:41.5803163Z         policy_fn_or_list (Callable or List):
2025-03-14T04:34:41.5803350Z           - If a policy function is provided, it should accept a
2025-03-14T04:34:41.5803604Z             :class:`SelectiveCheckpointContext`, the :class:`OpOverload`, args and
2025-03-14T04:34:41.5803862Z             kwargs to the op, and return a :class:`CheckpointPolicy` enum value
2025-03-14T04:34:41.5804118Z             indicating whether the execution of the op should be recomputed or not.
2025-03-14T04:34:41.5804346Z           - If a list of operations is provided, it is equivalent to a policy
2025-03-14T04:34:41.5804545Z             returning `CheckpointPolicy.MUST_SAVE` for the specified
2025-03-14T04:34:41.5804786Z             operations and `CheckpointPolicy.PREFER_RECOMPUTE` for all other
2025-03-14T04:34:41.5804887Z             operations.
2025-03-14T04:34:41.5805154Z         allow_cache_entry_mutation (bool, optional): By default, an error is
2025-03-14T04:34:41.5805377Z             raised if any tensors cached by selective activation checkpoint are
2025-03-14T04:34:41.5805610Z             mutated in order to ensure correctness. If set to `True`, this check
2025-03-14T04:34:41.5805710Z             is disabled.
2025-03-14T04:34:41.5805815Z     Returns:
2025-03-14T04:34:41.5805937Z         A tuple of two context managers.
2025-03-14T04:34:41.5806036Z     
2025-03-14T04:34:41.5806130Z     Example:
2025-03-14T04:34:41.5806259Z         >>> # xdoctest: +REQUIRES(LINUX)
2025-03-14T04:34:41.5806363Z         >>> import functools
2025-03-14T04:34:41.5806466Z         >>>
2025-03-14T04:34:41.5806603Z         >>> x = torch.rand(10, 10, requires_grad=True)
2025-03-14T04:34:41.5806747Z         >>> y = torch.rand(10, 10, requires_grad=True)
2025-03-14T04:34:41.5806839Z         >>>
2025-03-14T04:34:41.5806953Z         >>> ops_to_save = [
2025-03-14T04:34:41.5807077Z         >>>    torch.ops.aten.mm.default,
2025-03-14T04:34:41.5807171Z         >>> ]
2025-03-14T04:34:41.5807277Z         >>>
2025-03-14T04:34:41.5807416Z         >>> def policy_fn(ctx, op, *args, **kwargs):
2025-03-14T04:34:41.5807540Z         >>>    if op in ops_to_save:
2025-03-14T04:34:41.5807676Z         >>>        return CheckpointPolicy.MUST_SAVE
2025-03-14T04:34:41.5807785Z         >>>    else:
2025-03-14T04:34:41.5807941Z         >>>        return CheckpointPolicy.PREFER_RECOMPUTE
2025-03-14T04:34:41.5808045Z         >>>
2025-03-14T04:34:41.5808329Z         >>> context_fn = functools.partial(create_selective_checkpoint_contexts, policy_fn)
2025-03-14T04:34:41.5808431Z         >>>
2025-03-14T04:34:41.5808535Z         >>> # or equivalently
2025-03-14T04:34:41.5808833Z         >>> context_fn = functools.partial(create_selective_checkpoint_contexts, ops_to_save)
2025-03-14T04:34:41.5808924Z         >>>
2025-03-14T04:34:41.5809035Z         >>> def fn(x, y):
2025-03-14T04:34:41.5809246Z         >>>     return torch.sigmoid(torch.matmul(torch.matmul(x, y), y)) * y
2025-03-14T04:34:41.5809384Z         >>>
2025-03-14T04:34:41.5809537Z         >>> out = torch.utils.checkpoint.checkpoint(
2025-03-14T04:34:41.5809646Z         >>>     fn, x, y,
2025-03-14T04:34:41.5809756Z         >>>     use_reentrant=False,
2025-03-14T04:34:41.5809885Z         >>>     context_fn=context_fn,
2025-03-14T04:34:41.5809976Z         >>> )
2025-03-14T04:34:41.5810078Z     
2025-03-14T04:34:41.5810345Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5810445Z     
2025-03-14T04:34:41.5810550Z       warnings.warn(msg)
2025-03-14T04:34:41.5810651Z     
2025-03-14T04:34:41.5810853Z --- Parse Warning: 110 / 116 ---
2025-03-14T04:34:41.5811809Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=CppExtension in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/cpp_extension.py line=1064.
2025-03-14T04:34:41.5812124Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5812228Z     
2025-03-14T04:34:41.5812385Z     Create a :class:`setuptools.Extension` for C++.
2025-03-14T04:34:41.5812491Z     
2025-03-14T04:34:41.5812746Z     Convenience method that creates a :class:`setuptools.Extension` with the
2025-03-14T04:34:41.5813035Z     bare minimum (but often sufficient) arguments to build a C++ extension.
2025-03-14T04:34:41.5813126Z     
2025-03-14T04:34:41.5813356Z     All arguments are forwarded to the :class:`setuptools.Extension`
2025-03-14T04:34:41.5813516Z     constructor. Full list arguments can be found at
2025-03-14T04:34:41.5813872Z     https://setuptools.pypa.io/en/latest/userguide/ext_modules.html#extension-api-reference
2025-03-14T04:34:41.5813962Z     
2025-03-14T04:34:41.5814064Z     .. warning::
2025-03-14T04:34:41.5814320Z         The PyTorch python API (as provided in libtorch_python) cannot be built
2025-03-14T04:34:41.5814546Z         with the flag ``py_limited_api=True``.  When this flag is passed, it is
2025-03-14T04:34:41.5814795Z         the user's responsibility in their library to not use APIs from
2025-03-14T04:34:41.5815037Z         libtorch_python (in particular pytorch/python bindings) and to only use
2025-03-14T04:34:41.5815279Z         APIs from libtorch (aten objects, operators and the dispatcher). For
2025-03-14T04:34:41.5815519Z         example, to give access to custom ops from python, the library should
2025-03-14T04:34:41.5815657Z         register the ops through the dispatcher.
2025-03-14T04:34:41.5815745Z     
2025-03-14T04:34:41.5815992Z         Contrary to CPython setuptools, who does not define -DPy_LIMITED_API
2025-03-14T04:34:41.5816207Z         as a compile flag when py_limited_api is specified as an option for
2025-03-14T04:34:41.5816435Z         the "bdist_wheel" command in ``setup``, PyTorch does! We will specify
2025-03-14T04:34:41.5816661Z         -DPy_LIMITED_API=min_supported_cpython to best enforce consistency,
2025-03-14T04:34:41.5816901Z         safety, and sanity in order to encourage best practices. To target a
2025-03-14T04:34:41.5817126Z         different version, set min_supported_cpython to the hexcode of the
2025-03-14T04:34:41.5817254Z         CPython version of choice.
2025-03-14T04:34:41.5817343Z     
2025-03-14T04:34:41.5817448Z     Example:
2025-03-14T04:34:41.5817556Z         >>> # xdoctest: +SKIP
2025-03-14T04:34:41.5817730Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-03-14T04:34:41.5817852Z         >>> from setuptools import setup
2025-03-14T04:34:41.5818097Z         >>> from torch.utils.cpp_extension import BuildExtension, CppExtension
2025-03-14T04:34:41.5818193Z         >>> setup(
2025-03-14T04:34:41.5818312Z         ...     name='extension',
2025-03-14T04:34:41.5818413Z         ...     ext_modules=[
2025-03-14T04:34:41.5818533Z         ...         CppExtension(
2025-03-14T04:34:41.5818644Z         ...             name='extension',
2025-03-14T04:34:41.5818787Z         ...             sources=['extension.cpp'],
2025-03-14T04:34:41.5818959Z         ...             extra_compile_args=['-g'],
2025-03-14T04:34:41.5819134Z         ...             extra_link_args=['-Wl,--no-as-needed', '-lm'])
2025-03-14T04:34:41.5819225Z         ...     ],
2025-03-14T04:34:41.5819336Z         ...     cmdclass={
2025-03-14T04:34:41.5819461Z         ...         'build_ext': BuildExtension
2025-03-14T04:34:41.5819564Z         ...     })
2025-03-14T04:34:41.5819653Z     
2025-03-14T04:34:41.5819928Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5820017Z     
2025-03-14T04:34:41.5820136Z       warnings.warn(msg)
2025-03-14T04:34:41.5820224Z     
2025-03-14T04:34:41.5820434Z --- Parse Warning: 111 / 116 ---
2025-03-14T04:34:41.5821374Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=CUDAExtension in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/cpp_extension.py line=1134.
2025-03-14T04:34:41.5821689Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5821777Z     
2025-03-14T04:34:41.5821961Z     Create a :class:`setuptools.Extension` for CUDA/C++.
2025-03-14T04:34:41.5822049Z     
2025-03-14T04:34:41.5822317Z     Convenience method that creates a :class:`setuptools.Extension` with the
2025-03-14T04:34:41.5822572Z     bare minimum (but often sufficient) arguments to build a CUDA/C++
2025-03-14T04:34:41.5822828Z     extension. This includes the CUDA include path, library path and runtime
2025-03-14T04:34:41.5822922Z     library.
2025-03-14T04:34:41.5823024Z     
2025-03-14T04:34:41.5823240Z     All arguments are forwarded to the :class:`setuptools.Extension`
2025-03-14T04:34:41.5823412Z     constructor. Full list arguments can be found at
2025-03-14T04:34:41.5823754Z     https://setuptools.pypa.io/en/latest/userguide/ext_modules.html#extension-api-reference
2025-03-14T04:34:41.5823862Z     
2025-03-14T04:34:41.5823991Z     .. warning::
2025-03-14T04:34:41.5824245Z         The PyTorch python API (as provided in libtorch_python) cannot be built
2025-03-14T04:34:41.5824465Z         with the flag ``py_limited_api=True``.  When this flag is passed, it is
2025-03-14T04:34:41.5824683Z         the user's responsibility in their library to not use APIs from
2025-03-14T04:34:41.5824926Z         libtorch_python (in particular pytorch/python bindings) and to only use
2025-03-14T04:34:41.5825166Z         APIs from libtorch (aten objects, operators and the dispatcher). For
2025-03-14T04:34:41.5825390Z         example, to give access to custom ops from python, the library should
2025-03-14T04:34:41.5825538Z         register the ops through the dispatcher.
2025-03-14T04:34:41.5825628Z     
2025-03-14T04:34:41.5825860Z         Contrary to CPython setuptools, who does not define -DPy_LIMITED_API
2025-03-14T04:34:41.5826088Z         as a compile flag when py_limited_api is specified as an option for
2025-03-14T04:34:41.5826311Z         the "bdist_wheel" command in ``setup``, PyTorch does! We will specify
2025-03-14T04:34:41.5831601Z         -DPy_LIMITED_API=min_supported_cpython to best enforce consistency,
2025-03-14T04:34:41.5831890Z         safety, and sanity in order to encourage best practices. To target a
2025-03-14T04:34:41.5832182Z         different version, set min_supported_cpython to the hexcode of the
2025-03-14T04:34:41.5832368Z         CPython version of choice.
2025-03-14T04:34:41.5832462Z     
2025-03-14T04:34:41.5832563Z     Example:
2025-03-14T04:34:41.5832684Z         >>> # xdoctest: +SKIP
2025-03-14T04:34:41.5832845Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-03-14T04:34:41.5832968Z         >>> from setuptools import setup
2025-03-14T04:34:41.5833221Z         >>> from torch.utils.cpp_extension import BuildExtension, CUDAExtension
2025-03-14T04:34:41.5833315Z         >>> setup(
2025-03-14T04:34:41.5833444Z         ...     name='cuda_extension',
2025-03-14T04:34:41.5833554Z         ...     ext_modules=[
2025-03-14T04:34:41.5833763Z         ...         CUDAExtension(
2025-03-14T04:34:41.5833892Z         ...                 name='cuda_extension',
2025-03-14T04:34:41.5834083Z         ...                 sources=['extension.cpp', 'extension_kernel.cu'],
2025-03-14T04:34:41.5834222Z         ...                 extra_compile_args={'cxx': ['-g'],
2025-03-14T04:34:41.5834367Z         ...                                     'nvcc': ['-O2']},
2025-03-14T04:34:41.5834534Z         ...                 extra_link_args=['-Wl,--no-as-needed', '-lcuda'])
2025-03-14T04:34:41.5834643Z         ...     ],
2025-03-14T04:34:41.5834746Z         ...     cmdclass={
2025-03-14T04:34:41.5834887Z         ...         'build_ext': BuildExtension
2025-03-14T04:34:41.5834982Z         ...     })
2025-03-14T04:34:41.5835157Z     
2025-03-14T04:34:41.5835273Z     Compute capabilities:
2025-03-14T04:34:41.5835377Z     
2025-03-14T04:34:41.5835694Z     By default the extension will be compiled to run on all archs of the cards visible during the
2025-03-14T04:34:41.5836062Z     building process of the extension, plus PTX. If down the road a new card is installed the
2025-03-14T04:34:41.5836372Z     extension may need to be recompiled. If a visible card has a compute capability (CC) that's
2025-03-14T04:34:41.5836698Z     newer than the newest version for which your nvcc can build fully-compiled binaries, PyTorch
2025-03-14T04:34:41.5837033Z     will make nvcc fall back to building kernels with the newest version of PTX your nvcc does
2025-03-14T04:34:41.5837178Z     support (see below for details on PTX).
2025-03-14T04:34:41.5837269Z     
2025-03-14T04:34:41.5837606Z     You can override the default behavior using `TORCH_CUDA_ARCH_LIST` to explicitly specify which
2025-03-14T04:34:41.5837735Z     CCs you want the extension to support:
2025-03-14T04:34:41.5837837Z     
2025-03-14T04:34:41.5838037Z     ``TORCH_CUDA_ARCH_LIST="6.1 8.6" python build_my_extension.py``
2025-03-14T04:34:41.5838297Z     ``TORCH_CUDA_ARCH_LIST="5.2 6.0 6.1 7.0 7.5 8.0 8.6+PTX" python build_my_extension.py``
2025-03-14T04:34:41.5838422Z     
2025-03-14T04:34:41.5838765Z     The +PTX option causes extension kernel binaries to include PTX instructions for the specified
2025-03-14T04:34:41.5839096Z     CC. PTX is an intermediate representation that allows kernels to runtime-compile for any CC >=
2025-03-14T04:34:41.5839424Z     the specified CC (for example, 8.6+PTX generates PTX that can runtime-compile for any GPU with
2025-03-14T04:34:41.5839729Z     CC >= 8.6). This improves your binary's forward compatibility. However, relying on older PTX to
2025-03-14T04:34:41.5840081Z     provide forward compat by runtime-compiling for newer CCs can modestly reduce performance on
2025-03-14T04:34:41.5840365Z     those newer CCs. If you know exact CC(s) of the GPUs you want to target, you're always better
2025-03-14T04:34:41.5840714Z     off specifying them individually. For example, if you want your extension to run on 8.0 and 8.6,
2025-03-14T04:34:41.5841044Z     "8.0+PTX" would work functionally because it includes PTX that can runtime-compile for 8.6, but
2025-03-14T04:34:41.5841167Z     "8.0 8.6" would be better.
2025-03-14T04:34:41.5841256Z     
2025-03-14T04:34:41.5841578Z     Note that while it's possible to include all supported archs, the more archs get included the
2025-03-14T04:34:41.5841882Z     slower the building process will be, as it will build a separate kernel image for each arch.
2025-03-14T04:34:41.5841984Z     
2025-03-14T04:34:41.5842326Z     Note that CUDA-11.5 nvcc will hit internal compiler error while parsing torch/extension.h on Windows.
2025-03-14T04:34:41.5842561Z     To workaround the issue, move python binding logic to pure C++ file.
2025-03-14T04:34:41.5842650Z     
2025-03-14T04:34:41.5842763Z     Example use:
2025-03-14T04:34:41.5842870Z         #include <ATen/ATen.h>
2025-03-14T04:34:41.5843055Z         at::Tensor SigmoidAlphaBlendForwardCuda(....)
2025-03-14T04:34:41.5843144Z     
2025-03-14T04:34:41.5843251Z     Instead of:
2025-03-14T04:34:41.5843370Z         #include <torch/extension.h>
2025-03-14T04:34:41.5843579Z         torch::Tensor SigmoidAlphaBlendForwardCuda(...)
2025-03-14T04:34:41.5843668Z     
2025-03-14T04:34:41.5843972Z     Currently open issue for nvcc bug: https://github.com/pytorch/pytorch/issues/69460
2025-03-14T04:34:41.5844499Z     Complete workaround code example: https://github.com/facebookresearch/pytorch3d/commit/cb170ac024a949f1f9614ffe6af1c38d972f7d48
2025-03-14T04:34:41.5844602Z     
2025-03-14T04:34:41.5844721Z     Relocatable device code linking:
2025-03-14T04:34:41.5844820Z     
2025-03-14T04:34:41.5845111Z     If you want to reference device symbols across compilation units (across object files),
2025-03-14T04:34:41.5845393Z     the object files need to be built with `relocatable device code` (-rdc=true or -dc).
2025-03-14T04:34:41.5845769Z     An exception to this rule is "dynamic parallelism" (nested kernel launches)  which is not used a lot anymore.
2025-03-14T04:34:41.5846123Z     `Relocatable device code` is less optimized so it needs to be used only on object files that need it.
2025-03-14T04:34:41.5846484Z     Using `-dlto` (Device Link Time Optimization) at the device code compilation step and `dlink` step
2025-03-14T04:34:41.5846690Z     helps reduce the protentional perf degradation of `-rdc`.
2025-03-14T04:34:41.5846868Z     Note that it needs to be used at both steps to be useful.
2025-03-14T04:34:41.5846968Z     
2025-03-14T04:34:41.5847374Z     If you have `rdc` objects you need to have an extra `-dlink` (device linking) step before the CPU symbol linking step.
2025-03-14T04:34:41.5847572Z     There is also a case where `-dlink` is used without `-rdc`:
2025-03-14T04:34:41.5847841Z     when an extension is linked against a static lib containing rdc-compiled objects
2025-03-14T04:34:41.5848077Z     like the [NVSHMEM library](https://developer.nvidia.com/nvshmem).
2025-03-14T04:34:41.5848166Z     
2025-03-14T04:34:41.5848390Z     Note: Ninja is required to build a CUDA Extension with RDC linking.
2025-03-14T04:34:41.5848575Z     
2025-03-14T04:34:41.5848685Z     Example:
2025-03-14T04:34:41.5848794Z         >>> # xdoctest: +SKIP
2025-03-14T04:34:41.5848969Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-03-14T04:34:41.5849076Z         >>> CUDAExtension(
2025-03-14T04:34:41.5849206Z         ...        name='cuda_extension',
2025-03-14T04:34:41.5849377Z         ...        sources=['extension.cpp', 'extension_kernel.cu'],
2025-03-14T04:34:41.5849497Z         ...        dlink=True,
2025-03-14T04:34:41.5849625Z         ...        dlink_libraries=["dlink_lib"],
2025-03-14T04:34:41.5849774Z         ...        extra_compile_args={'cxx': ['-g'],
2025-03-14T04:34:41.5849908Z         ...                            'nvcc': ['-O2', '-rdc=true']})
2025-03-14T04:34:41.5849999Z     
2025-03-14T04:34:41.5850278Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5850367Z     
2025-03-14T04:34:41.5850485Z       warnings.warn(msg)
2025-03-14T04:34:41.5850579Z     
2025-03-14T04:34:41.5850855Z --- Parse Warning: 112 / 116 ---
2025-03-14T04:34:41.5851800Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SyclExtension in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/cpp_extension.py line=1325.
2025-03-14T04:34:41.5852090Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5852180Z     
2025-03-14T04:34:41.5852371Z     Creates a :class:`setuptools.Extension` for SYCL/C++.
2025-03-14T04:34:41.5852461Z     
2025-03-14T04:34:41.5852729Z     Convenience method that creates a :class:`setuptools.Extension` with the
2025-03-14T04:34:41.5852940Z     bare minimum (but often sufficient) arguments to build a SYCL/C++
2025-03-14T04:34:41.5853052Z     extension.
2025-03-14T04:34:41.5853140Z     
2025-03-14T04:34:41.5853370Z     All arguments are forwarded to the :class:`setuptools.Extension`
2025-03-14T04:34:41.5853474Z     constructor.
2025-03-14T04:34:41.5853575Z     
2025-03-14T04:34:41.5853698Z     .. warning::
2025-03-14T04:34:41.5853953Z         The PyTorch python API (as provided in libtorch_python) cannot be built
2025-03-14T04:34:41.5854175Z         with the flag ``py_limited_api=True``.  When this flag is passed, it is
2025-03-14T04:34:41.5854395Z         the user's responsibility in their library to not use APIs from
2025-03-14T04:34:41.5854639Z         libtorch_python (in particular pytorch/python bindings) and to only use
2025-03-14T04:34:41.5854878Z         APIs from libtorch (aten objects, operators and the dispatcher). For
2025-03-14T04:34:41.5855102Z         example, to give access to custom ops from python, the library should
2025-03-14T04:34:41.5855253Z         register the ops through the dispatcher.
2025-03-14T04:34:41.5855341Z     
2025-03-14T04:34:41.5855585Z         Contrary to CPython setuptools, who does not define -DPy_LIMITED_API
2025-03-14T04:34:41.5855799Z         as a compile flag when py_limited_api is specified as an option for
2025-03-14T04:34:41.5856061Z         the "bdist_wheel" command in ``setup``, PyTorch does! We will specify
2025-03-14T04:34:41.5856286Z         -DPy_LIMITED_API=min_supported_cpython to best enforce consistency,
2025-03-14T04:34:41.5856521Z         safety, and sanity in order to encourage best practices. To target a
2025-03-14T04:34:41.5856773Z         different version, set min_supported_cpython to the hexcode of the
2025-03-14T04:34:41.5856901Z         CPython version of choice.
2025-03-14T04:34:41.5856990Z     
2025-03-14T04:34:41.5857096Z     Example:
2025-03-14T04:34:41.5857202Z         >>> # xdoctest: +SKIP
2025-03-14T04:34:41.5857372Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-03-14T04:34:41.5857605Z         >>> from torch.utils.cpp_extension import BuildExtension, SyclExtension
2025-03-14T04:34:41.5857711Z         >>> setup(
2025-03-14T04:34:41.5857825Z         ...     name='xpu_extension',
2025-03-14T04:34:41.5857939Z         ...     ext_modules=[
2025-03-14T04:34:41.5858077Z         ...     SyclExtension(
2025-03-14T04:34:41.5858214Z         ...                 name='xpu_extension',
2025-03-14T04:34:41.5858388Z         ...                 sources=['extension.cpp', 'extension_kernel.cpp'],
2025-03-14T04:34:41.5858590Z         ...                 extra_compile_args={'cxx': ['-g', '-std=c++20', '-fPIC']})
2025-03-14T04:34:41.5858682Z         ...     ],
2025-03-14T04:34:41.5858801Z         ...     cmdclass={
2025-03-14T04:34:41.5858927Z         ...         'build_ext': BuildExtension
2025-03-14T04:34:41.5859035Z         ...     })
2025-03-14T04:34:41.5859124Z     
2025-03-14T04:34:41.5859448Z     By default the extension will be compiled to run on all archs of the cards visible during the
2025-03-14T04:34:41.5859713Z     building process of the extension. If down the road a new card is installed the
2025-03-14T04:34:41.5859988Z     extension may need to be recompiled. You can override the default behavior using
2025-03-14T04:34:41.5860310Z     `TORCH_XPU_ARCH_LIST` to explicitly specify which device architectures you want the extension
2025-03-14T04:34:41.5860419Z     to support:
2025-03-14T04:34:41.5860507Z     
2025-03-14T04:34:41.5860726Z     ``TORCH_XPU_ARCH_LIST="pvc,xe-lpg" python build_my_extension.py``
2025-03-14T04:34:41.5860814Z     
2025-03-14T04:34:41.5861124Z     Note that while it's possible to include all supported archs, the more archs get included the
2025-03-14T04:34:41.5861438Z     slower the building process will be, as it will build a separate kernel image for each arch.
2025-03-14T04:34:41.5861526Z     
2025-03-14T04:34:41.5861687Z     Note: Ninja is required to build SyclExtension.
2025-03-14T04:34:41.5861775Z     
2025-03-14T04:34:41.5862049Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5862137Z     
2025-03-14T04:34:41.5862253Z       warnings.warn(msg)
2025-03-14T04:34:41.5862341Z     
2025-03-14T04:34:41.5862559Z --- Parse Warning: 113 / 116 ---
2025-03-14T04:34:41.5863480Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/cpp_extension.py line=1502.
2025-03-14T04:34:41.5863768Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5863856Z     
2025-03-14T04:34:41.5864028Z     Load a PyTorch C++ extension just-in-time (JIT).
2025-03-14T04:34:41.5864116Z     
2025-03-14T04:34:41.5864345Z     To load an extension, a Ninja build file is emitted, which is used to
2025-03-14T04:34:41.5864562Z     compile the given sources into a dynamic library. This library is
2025-03-14T04:34:41.5864806Z     subsequently loaded into the current Python process as a module and
2025-03-14T04:34:41.5864947Z     returned from this function, ready for use.
2025-03-14T04:34:41.5865050Z     
2025-03-14T04:34:41.5865268Z     By default, the directory to which the build file is emitted and the
2025-03-14T04:34:41.5865582Z     resulting library compiled to is ``<tmp>/torch_extensions/<name>``, where
2025-03-14T04:34:41.5865796Z     ``<tmp>`` is the temporary folder on the current platform and ``<name>``
2025-03-14T04:34:41.5866033Z     the name of the extension. This location can be overridden in two ways.
2025-03-14T04:34:41.5866251Z     First, if the ``TORCH_EXTENSIONS_DIR`` environment variable is set, it
2025-03-14T04:34:41.5866521Z     replaces ``<tmp>/torch_extensions`` and all extensions will be compiled
2025-03-14T04:34:41.5866751Z     into subfolders of this directory. Second, if the ``build_directory``
2025-03-14T04:34:41.5867214Z     argument to this function is supplied, it overrides the entire path, i.e.
2025-03-14T04:34:41.5867392Z     the library will be compiled into that folder directly.
2025-03-14T04:34:41.5867494Z     
2025-03-14T04:34:41.5867714Z     To compile the sources, the default system compiler (``c++``) is used,
2025-03-14T04:34:41.5867978Z     which can be overridden by setting the ``CXX`` environment variable. To pass
2025-03-14T04:34:41.5868305Z     additional arguments to the compilation process, ``extra_cflags`` or
2025-03-14T04:34:41.5868550Z     ``extra_ldflags`` can be provided. For example, to compile your extension
2025-03-14T04:34:41.5868773Z     with optimizations, pass ``extra_cflags=['-O3']``. You can also use
2025-03-14T04:34:41.5868953Z     ``extra_cflags`` to pass further include directories.
2025-03-14T04:34:41.5869046Z     
2025-03-14T04:34:41.5869307Z     CUDA support with mixed compilation is provided. Simply pass CUDA source
2025-03-14T04:34:41.5869504Z     files (``.cu`` or ``.cuh``) along with other sources. Such files will be
2025-03-14T04:34:41.5869772Z     detected and compiled with nvcc rather than the C++ compiler. This includes
2025-03-14T04:34:41.5869995Z     passing the CUDA lib64 directory as a library directory, and linking
2025-03-14T04:34:41.5870175Z     ``cudart``. You can pass additional flags to nvcc via
2025-03-14T04:34:41.5870396Z     ``extra_cuda_cflags``, just like with ``extra_cflags`` for C++. Various
2025-03-14T04:34:41.5870661Z     heuristics for finding the CUDA install directory are used, which usually
2025-03-14T04:34:41.5870884Z     work fine. If not, setting the ``CUDA_HOME`` environment variable is the
2025-03-14T04:34:41.5870996Z     safest option.
2025-03-14T04:34:41.5871087Z     
2025-03-14T04:34:41.5871348Z     SYCL support with mixed compilation is provided. Simply pass SYCL source
2025-03-14T04:34:41.5871561Z     files (``.sycl``) along with other sources. Such files will be detected
2025-03-14T04:34:41.5871800Z     and compiled with SYCL compiler (such as Intel DPC++ Compiler) rather
2025-03-14T04:34:41.5872020Z     than the C++ compiler. You can pass additional flags to SYCL compiler
2025-03-14T04:34:41.5872236Z     via ``extra_sycl_cflags``, just like with ``extra_cflags`` for C++.
2025-03-14T04:34:41.5872454Z     SYCL compiler is expected to be found via system PATH environment
2025-03-14T04:34:41.5872561Z     variable.
2025-03-14T04:34:41.5872655Z     
2025-03-14T04:34:41.5872800Z     Args:
2025-03-14T04:34:41.5873022Z         name: The name of the extension to build. This MUST be the same as the
2025-03-14T04:34:41.5873151Z             name of the pybind11 module!
2025-03-14T04:34:41.5873363Z         sources: A list of relative or absolute paths to C++ source files.
2025-03-14T04:34:41.5873614Z         extra_cflags: optional list of compiler flags to forward to the build.
2025-03-14T04:34:41.5873841Z         extra_cuda_cflags: optional list of compiler flags to forward to nvcc
2025-03-14T04:34:41.5873970Z             when building CUDA sources.
2025-03-14T04:34:41.5874197Z         extra_sycl_cflags: optional list of compiler flags to forward to SYCL
2025-03-14T04:34:41.5874339Z             compiler when building SYCL sources.
2025-03-14T04:34:41.5874567Z         extra_ldflags: optional list of linker flags to forward to the build.
2025-03-14T04:34:41.5874810Z         extra_include_paths: optional list of include directories to forward
2025-03-14T04:34:41.5874953Z             to the build.
2025-03-14T04:34:41.5875212Z         build_directory: optional path to use as build workspace.
2025-03-14T04:34:41.5875405Z         verbose: If ``True``, turns on verbose logging of load steps.
2025-03-14T04:34:41.5875651Z         with_cuda: Determines whether CUDA headers and libraries are added to
2025-03-14T04:34:41.5875861Z             the build. If set to ``None`` (default), this value is
2025-03-14T04:34:41.5876091Z             automatically determined based on the existence of ``.cu`` or
2025-03-14T04:34:41.5876270Z             ``.cuh`` in ``sources``. Set it to `True`` to force CUDA headers
2025-03-14T04:34:41.5876406Z             and libraries to be included.
2025-03-14T04:34:41.5876637Z         with_sycl: Determines whether SYCL headers and libraries are added to
2025-03-14T04:34:41.5876817Z             the build. If set to ``None`` (default), this value is
2025-03-14T04:34:41.5877037Z             automatically determined based on the existence of ``.sycl`` in
2025-03-14T04:34:41.5877289Z             ``sources``. Set it to `True`` to force SYCL headers and
2025-03-14T04:34:41.5877405Z             libraries to be included.
2025-03-14T04:34:41.5877632Z         is_python_module: If ``True`` (default), imports the produced shared
2025-03-14T04:34:41.5877830Z             library as a Python module. If ``False``, behavior depends on
2025-03-14T04:34:41.5877951Z             ``is_standalone``.
2025-03-14T04:34:41.5878165Z         is_standalone: If ``False`` (default) loads the constructed extension
2025-03-14T04:34:41.5878382Z             into the process as a plain dynamic library. If ``True``, build a
2025-03-14T04:34:41.5878494Z             standalone executable.
2025-03-14T04:34:41.5878597Z     
2025-03-14T04:34:41.5878690Z     Returns:
2025-03-14T04:34:41.5878826Z         If ``is_python_module`` is ``True``:
2025-03-14T04:34:41.5879014Z             Returns the loaded PyTorch extension as a Python module.
2025-03-14T04:34:41.5879116Z     
2025-03-14T04:34:41.5879331Z         If ``is_python_module`` is ``False`` and ``is_standalone`` is ``False``:
2025-03-14T04:34:41.5879563Z             Returns nothing. (The shared library is loaded into the process as
2025-03-14T04:34:41.5879664Z             a side effect.)
2025-03-14T04:34:41.5879765Z     
2025-03-14T04:34:41.5879883Z         If ``is_standalone`` is ``True``.
2025-03-14T04:34:41.5880096Z             Return the path to the executable. (On Windows, TORCH_LIB_PATH is
2025-03-14T04:34:41.5880291Z             added to the PATH environment variable as a side effect.)
2025-03-14T04:34:41.5880385Z     
2025-03-14T04:34:41.5880490Z     Example:
2025-03-14T04:34:41.5880596Z         >>> # xdoctest: +SKIP
2025-03-14T04:34:41.5880754Z         >>> from torch.utils.cpp_extension import load
2025-03-14T04:34:41.5880857Z         >>> module = load(
2025-03-14T04:34:41.5880980Z         ...     name='extension',
2025-03-14T04:34:41.5881150Z         ...     sources=['extension.cpp', 'extension_kernel.cu'],
2025-03-14T04:34:41.5881304Z         ...     extra_cflags=['-O2'],
2025-03-14T04:34:41.5881408Z         ...     verbose=True)
2025-03-14T04:34:41.5881510Z     
2025-03-14T04:34:41.5881775Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5881876Z     
2025-03-14T04:34:41.5881982Z       warnings.warn(msg)
2025-03-14T04:34:41.5882084Z     
2025-03-14T04:34:41.5882323Z --- Parse Warning: 114 / 116 ---
2025-03-14T04:34:41.5883258Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load_inline in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/cpp_extension.py line=1811.
2025-03-14T04:34:41.5883532Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5883633Z     
2025-03-14T04:34:41.5883853Z     Load a PyTorch C++ extension just-in-time (JIT) from string sources.
2025-03-14T04:34:41.5883957Z     
2025-03-14T04:34:41.5884237Z     This function behaves exactly like :func:`load`, but takes its sources as
2025-03-14T04:34:41.5884491Z     strings rather than filenames. These strings are stored to files in the
2025-03-14T04:34:41.5884713Z     build directory, after which the behavior of :func:`load_inline` is
2025-03-14T04:34:41.5884839Z     identical to :func:`load`.
2025-03-14T04:34:41.5884927Z     
2025-03-14T04:34:41.5885031Z     See `the
2025-03-14T04:34:41.5885398Z     tests <https://github.com/pytorch/pytorch/blob/master/test/test_cpp_extensions_jit.py>`_
2025-03-14T04:34:41.5885546Z     for good examples of using this function.
2025-03-14T04:34:41.5885634Z     
2025-03-14T04:34:41.5885892Z     Sources may omit two required parts of a typical non-inline C++ extension:
2025-03-14T04:34:41.5886145Z     the necessary header includes, as well as the (pybind11) binding code. More
2025-03-14T04:34:41.5886410Z     precisely, strings passed to ``cpp_sources`` are first concatenated into a
2025-03-14T04:34:41.5886611Z     single ``.cpp`` file. This file is then prepended with ``#include
2025-03-14T04:34:41.5886762Z     <torch/extension.h>``.
2025-03-14T04:34:41.5886850Z     
2025-03-14T04:34:41.5887099Z     Furthermore, if the ``functions`` argument is supplied, bindings will be
2025-03-14T04:34:41.5887348Z     automatically generated for each function specified. ``functions`` can
2025-03-14T04:34:41.5887594Z     either be a list of function names, or a dictionary mapping from function
2025-03-14T04:34:41.5887829Z     names to docstrings. If a list is given, the name of each function is used
2025-03-14T04:34:41.5887942Z     as its docstring.
2025-03-14T04:34:41.5888032Z     
2025-03-14T04:34:41.5888269Z     The sources in ``cuda_sources`` are concatenated into a separate ``.cu``
2025-03-14T04:34:41.5888458Z     file and  prepended with ``torch/types.h``, ``cuda.h`` and
2025-03-14T04:34:41.5888690Z     ``cuda_runtime.h`` includes. The ``.cpp`` and ``.cu`` files are compiled
2025-03-14T04:34:41.5888923Z     separately, but ultimately linked into a single library. Note that no
2025-03-14T04:34:41.5889180Z     bindings are generated for functions in ``cuda_sources`` per se. To bind
2025-03-14T04:34:41.5889406Z     to a CUDA kernel, you must create a C++ function that calls it, and either
2025-03-14T04:34:41.5889642Z     declare or define this C++ function in one of the ``cpp_sources`` (and
2025-03-14T04:34:41.5889762Z     include its name in ``functions``).
2025-03-14T04:34:41.5889863Z     
2025-03-14T04:34:41.5890093Z     The sources in ``sycl_sources`` are concatenated into a separate ``.sycl``
2025-03-14T04:34:41.5890330Z     file and  prepended with ``torch/types.h``, ``sycl/sycl.hpp`` includes.
2025-03-14T04:34:41.5890538Z     The ``.cpp`` and ``.sycl`` files are compiled separately, but ultimately
2025-03-14T04:34:41.5890776Z     linked into a single library. Note that no bindings are generated for
2025-03-14T04:34:41.5890999Z     functions in ``sycl_sources`` per se. To bind to a SYCL kernel, you must
2025-03-14T04:34:41.5891267Z     create a C++ function that calls it, and either declare or define this
2025-03-14T04:34:41.5891465Z     C++ function in one of the ``cpp_sources`` (and include its name
2025-03-14T04:34:41.5891580Z     in ``functions``).
2025-03-14T04:34:41.5891668Z     
2025-03-14T04:34:41.5891875Z     See :func:`load` for a description of arguments omitted below.
2025-03-14T04:34:41.5891963Z     
2025-03-14T04:34:41.5892056Z     Args:
2025-03-14T04:34:41.5892295Z         cpp_sources: A string, or list of strings, containing C++ source code.
2025-03-14T04:34:41.5892527Z         cuda_sources: A string, or list of strings, containing CUDA source code.
2025-03-14T04:34:41.5892770Z         sycl_sources: A string, or list of strings, containing SYCL source code.
2025-03-14T04:34:41.5892985Z         functions: A list of function names for which to generate function
2025-03-14T04:34:41.5893219Z             bindings. If a dictionary is given, it should map function names to
2025-03-14T04:34:41.5893411Z             docstrings (which are otherwise just the function names).
2025-03-14T04:34:41.5893685Z         with_cuda: Determines whether CUDA headers and libraries are added to
2025-03-14T04:34:41.5893853Z             the build. If set to ``None`` (default), this value is
2025-03-14T04:34:41.5894078Z             automatically determined based on whether ``cuda_sources`` is
2025-03-14T04:34:41.5894239Z             provided. Set it to ``True`` to force CUDA headers
2025-03-14T04:34:41.5894393Z             and libraries to be included.
2025-03-14T04:34:41.5894624Z         with_sycl: Determines whether SYCL headers and libraries are added to
2025-03-14T04:34:41.5894802Z             the build. If set to ``None`` (default), this value is
2025-03-14T04:34:41.5895015Z             automatically determined based on whether ``sycl_sources`` is
2025-03-14T04:34:41.5895188Z             provided. Set it to ``True`` to force SYCL headers
2025-03-14T04:34:41.5895307Z             and libraries to be included.
2025-03-14T04:34:41.5895541Z         with_pytorch_error_handling: Determines whether pytorch error and
2025-03-14T04:34:41.5895776Z             warning macros are handled by pytorch instead of pybind. To do
2025-03-14T04:34:41.5896013Z             this, each function ``foo`` is called via an intermediary ``_safe_foo``
2025-03-14T04:34:41.5896224Z             function. This redirection might cause issues in obscure cases
2025-03-14T04:34:41.5896431Z             of cpp. This flag should be set to ``False`` when this redirect
2025-03-14T04:34:41.5896532Z             causes issues.
2025-03-14T04:34:41.5896633Z     
2025-03-14T04:34:41.5896727Z     Example:
2025-03-14T04:34:41.5896897Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-03-14T04:34:41.5897082Z         >>> from torch.utils.cpp_extension import load_inline
2025-03-14T04:34:41.5897178Z         >>> source = """
2025-03-14T04:34:41.5897351Z         at::Tensor sin_add(at::Tensor x, at::Tensor y) {
2025-03-14T04:34:41.5897463Z           return x.sin() + y.sin();
2025-03-14T04:34:41.5897571Z         }
2025-03-14T04:34:41.5897664Z         """
2025-03-14T04:34:41.5897829Z         >>> module = load_inline(name='inline_extension',
2025-03-14T04:34:41.5897958Z         ...                      cpp_sources=[source],
2025-03-14T04:34:41.5898100Z         ...                      functions=['sin_add'])
2025-03-14T04:34:41.5898187Z     
2025-03-14T04:34:41.5898296Z     .. note::
2025-03-14T04:34:41.5898546Z         Since load_inline will just-in-time compile the source code, please ensure
2025-03-14T04:34:41.5898799Z         that you have the right toolchains installed in the runtime. For example,
2025-03-14T04:34:41.5899025Z         when loading C++, make sure a C++ compiler is available. If you're loading
2025-03-14T04:34:41.5899296Z         a CUDA extension, you will need to additionally install the corresponding CUDA
2025-03-14T04:34:41.5899552Z         toolkit (nvcc and any other dependencies your code has). Compiling toolchains
2025-03-14T04:34:41.5899815Z         are not included when you install torch and must be additionally installed.
2025-03-14T04:34:41.5899955Z     
2025-03-14T04:34:41.5900234Z         During compiling, by default, the Ninja backend uses #CPUS + 2 workers to build
2025-03-14T04:34:41.5900463Z         the extension. This may use up too many resources on some systems. One
2025-03-14T04:34:41.5900709Z         can control the number of workers by setting the `MAX_JOBS` environment
2025-03-14T04:34:41.5900837Z         variable to a non-negative number.
2025-03-14T04:34:41.5900942Z     
2025-03-14T04:34:41.5901204Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5901306Z     
2025-03-14T04:34:41.5901412Z       warnings.warn(msg)
2025-03-14T04:34:41.5901514Z     
2025-03-14T04:34:41.5901724Z --- Parse Warning: 115 / 116 ---
2025-03-14T04:34:41.5902748Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ThroughputBenchmark in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/throughput_benchmark.py line=61.
2025-03-14T04:34:41.5903052Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5903155Z     
2025-03-14T04:34:41.5903455Z     This class is a wrapper around a c++ component throughput_benchmark::ThroughputBenchmark.
2025-03-14T04:34:41.5903559Z     
2025-03-14T04:34:41.5903892Z     This wrapper on the throughput_benchmark::ThroughputBenchmark component is responsible
2025-03-14T04:34:41.5904171Z     for executing a PyTorch module (nn.Module or ScriptModule) under an inference
2025-03-14T04:34:41.5904413Z     server like load. It can emulate multiple calling threads to a single module
2025-03-14T04:34:41.5904677Z     provided. In the future we plan to enhance this component to support inter and
2025-03-14T04:34:41.5904933Z     intra-op parallelism as well as multiple models running in a single process.
2025-03-14T04:34:41.5905035Z     
2025-03-14T04:34:41.5905296Z     Please note that even though nn.Module is supported, it might incur an overhead
2025-03-14T04:34:41.5905570Z     from the need to hold GIL every time we execute Python code or pass around
2025-03-14T04:34:41.5905819Z     inputs as Python objects. As soon as you have a ScriptModule version of your
2025-03-14T04:34:41.5906075Z     model for inference deployment it is better to switch to using it in this
2025-03-14T04:34:41.5906168Z     benchmark.
2025-03-14T04:34:41.5906270Z     
2025-03-14T04:34:41.5906366Z     Example::
2025-03-14T04:34:41.5906466Z     
2025-03-14T04:34:41.5906594Z         >>> # xdoctest: +SKIP("undefined vars")
2025-03-14T04:34:41.5906744Z         >>> from torch.utils import ThroughputBenchmark
2025-03-14T04:34:41.5906892Z         >>> bench = ThroughputBenchmark(my_module)
2025-03-14T04:34:41.5907063Z         >>> # Pre-populate benchmark's data set with the inputs
2025-03-14T04:34:41.5907185Z         >>> for input in inputs:
2025-03-14T04:34:41.5907411Z         ...     # Both args and kwargs work, same as any PyTorch Module / ScriptModule
2025-03-14T04:34:41.5907570Z         ...     bench.add_input(input[0], x2=input[1])
2025-03-14T04:34:41.5907772Z         >>> # Inputs supplied above are randomly used during the execution
2025-03-14T04:34:41.5907897Z         >>> stats = bench.benchmark(
2025-03-14T04:34:41.5908008Z         ...     num_calling_threads=4,
2025-03-14T04:34:41.5908133Z         ...     num_warmup_iters = 100,
2025-03-14T04:34:41.5908239Z         ...     num_iters = 1000,
2025-03-14T04:34:41.5908341Z         ... )
2025-03-14T04:34:41.5908526Z         >>> print("Avg latency (ms): {}".format(stats.latency_avg_ms))
2025-03-14T04:34:41.5908721Z         >>> print("Number of iterations: {}".format(stats.num_iters))
2025-03-14T04:34:41.5908805Z     
2025-03-14T04:34:41.5909080Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5909170Z     
2025-03-14T04:34:41.5909289Z       warnings.warn(msg)
2025-03-14T04:34:41.5909375Z     
2025-03-14T04:34:41.5909590Z --- Parse Warning: 116 / 116 ---
2025-03-14T04:34:41.5910593Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DistributedSampler in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/distributed.py line=18.
2025-03-14T04:34:41.5910879Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-03-14T04:34:41.5911088Z     Sampler that restricts data loading to a subset of the dataset.
2025-03-14T04:34:41.5911189Z     
2025-03-14T04:34:41.5911332Z         It is especially useful in conjunction with
2025-03-14T04:34:41.5911600Z         :class:`torch.nn.parallel.DistributedDataParallel`. In such a case, each
2025-03-14T04:34:41.5911868Z         process can pass a :class:`~torch.utils.data.DistributedSampler` instance as a
2025-03-14T04:34:41.5912118Z         :class:`~torch.utils.data.DataLoader` sampler, and load a subset of the
2025-03-14T04:34:41.5912284Z         original dataset that is exclusive to it.
2025-03-14T04:34:41.5912390Z     
2025-03-14T04:34:41.5912485Z         .. note::
2025-03-14T04:34:41.5912744Z             Dataset is assumed to be of constant size and that any instance of it always
2025-03-14T04:34:41.5912892Z             returns the same elements in the same order.
2025-03-14T04:34:41.5912991Z     
2025-03-14T04:34:41.5913083Z         Args:
2025-03-14T04:34:41.5913249Z             dataset: Dataset used for sampling.
2025-03-14T04:34:41.5913477Z             num_replicas (int, optional): Number of processes participating in
2025-03-14T04:34:41.5913750Z                 distributed training. By default, :attr:`world_size` is retrieved from the
2025-03-14T04:34:41.5913872Z                 current distributed group.
2025-03-14T04:34:41.5914135Z             rank (int, optional): Rank of the current process within :attr:`num_replicas`.
2025-03-14T04:34:41.5914345Z                 By default, :attr:`rank` is retrieved from the current distributed
2025-03-14T04:34:41.5914481Z                 group.
2025-03-14T04:34:41.5914716Z             shuffle (bool, optional): If ``True`` (default), sampler will shuffle the
2025-03-14T04:34:41.5914830Z                 indices.
2025-03-14T04:34:41.5915032Z             seed (int, optional): random seed used to shuffle the sampler if
2025-03-14T04:34:41.5915350Z                 :attr:`shuffle=True`. This number should be identical across all
2025-03-14T04:34:41.5915527Z                 processes in the distributed group. Default: ``0``.
2025-03-14T04:34:41.5915764Z             drop_last (bool, optional): if ``True``, then the sampler will drop the
2025-03-14T04:34:41.5915970Z                 tail of the data to make it evenly divisible across the number of
2025-03-14T04:34:41.5916189Z                 replicas. If ``False``, the sampler will add extra indices to make
2025-03-14T04:34:41.5916409Z                 the data evenly divisible across the replicas. Default: ``False``.
2025-03-14T04:34:41.5916514Z     
2025-03-14T04:34:41.5916617Z         .. warning::
2025-03-14T04:34:41.5916834Z             In distributed mode, calling the :meth:`set_epoch` method at
2025-03-14T04:34:41.5917093Z             the beginning of each epoch **before** creating the :class:`DataLoader` iterator
2025-03-14T04:34:41.5917370Z             is necessary to make shuffling work properly across multiple epochs. Otherwise,
2025-03-14T04:34:41.5917501Z             the same ordering will be always used.
2025-03-14T04:34:41.5917602Z     
2025-03-14T04:34:41.5917697Z         Example::
2025-03-14T04:34:41.5917797Z     
2025-03-14T04:34:41.5917903Z             >>> # xdoctest: +SKIP
2025-03-14T04:34:41.5918143Z             >>> sampler = DistributedSampler(dataset) if is_distributed else None
2025-03-14T04:34:41.5918324Z             >>> loader = DataLoader(dataset, shuffle=(sampler is None),
2025-03-14T04:34:41.5918462Z             ...                     sampler=sampler)
2025-03-14T04:34:41.5918603Z             >>> for epoch in range(start_epoch, n_epochs):
2025-03-14T04:34:41.5918731Z             ...     if is_distributed:
2025-03-14T04:34:41.5918889Z             ...         sampler.set_epoch(epoch)
2025-03-14T04:34:41.5919005Z             ...     train(loader)
2025-03-14T04:34:41.5919092Z         
2025-03-14T04:34:41.5919371Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-03-14T04:34:41.5919458Z     
2025-03-14T04:34:41.5919562Z       warnings.warn(msg)
2025-03-14T04:34:41.5919664Z     
2025-03-14T04:34:41.5919790Z 
2025-03-14T04:34:41.5919988Z === Found 10 run-time warnings ===
2025-03-14T04:34:41.5920176Z --- Runtime Warning: 1 / 10 ---
2025-03-14T04:34:41.5920457Z example = <DocTest(torch._tensor Tensor.refine_names:0 ln 1347) at 0x7f2700041040>
2025-03-14T04:34:41.5921726Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py:1365: 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 ../c10/core/TensorImpl.h:1938.)
2025-03-14T04:34:41.5921895Z       return super().refine_names(names)
2025-03-14T04:34:41.5921995Z     
2025-03-14T04:34:41.5922180Z --- Runtime Warning: 2 / 10 ---
2025-03-14T04:34:41.5922497Z example = <DocTest(torch.library Library._impl_with_aoti_compile:0 ln 251) at 0x7f2700043020>
2025-03-14T04:34:41.5923175Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py:288: UserWarning: Warning only once for all operators,  other operators may also be overridden.
2025-03-14T04:34:41.5923509Z       Overriding a previously registered kernel for the same operator and the same dispatch key
2025-03-14T04:34:41.5923717Z       operator: aten::div.Tensor(Tensor self, Tensor other) -> Tensor
2025-03-14T04:34:41.5923894Z         registered at aten/src/ATen/RegisterSchema.cpp:6
2025-03-14T04:34:41.5923997Z       dispatch key: CPU
2025-03-14T04:34:41.5924314Z       previous kernel: registered at ../aten/src/ATen/LegacyBatchingRegistrations.cpp:1079
2025-03-14T04:34:41.5924778Z            new kernel: registered at /dev/null:811 (Triggered internally at ../aten/src/ATen/core/dispatch/OperatorEntry.cpp:161.)
2025-03-14T04:34:41.5924956Z       impl_fn(self.ns, name.split("::")[-1], dispatch_key)
2025-03-14T04:34:41.5925044Z     
2025-03-14T04:34:41.5925241Z --- Runtime Warning: 3 / 10 ---
2025-03-14T04:34:41.5925487Z example = <DocTest(torch.nested as_nested_tensor:0 ln 61) at 0x7f26fd7c9bf0>
2025-03-14T04:34:41.5927255Z     /opt/conda/envs/py_3.13/lib/python3.13/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 ../aten/src/ATen/NestedTensorImpl.cpp:182.)
2025-03-14T04:34:41.5927514Z       return torch._nested_tensor_from_tensor_list(ts, dtype, None, device, None)
2025-03-14T04:34:41.5927610Z     
2025-03-14T04:34:41.5927795Z --- Runtime Warning: 4 / 10 ---
2025-03-14T04:34:41.5928066Z example = <DocTest(torch.sparse as_sparse_gradcheck:0 ln 561) at 0x7f26fd7ca140>
2025-03-14T04:34:41.5929589Z     <doctest:/opt/conda/envs/py_3.13/lib/python3.13/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 ../aten/src/ATen/SparseCsrTensorImpl.cpp:55.)
2025-03-14T04:34:41.5929694Z     
2025-03-14T04:34:41.5929884Z --- Runtime Warning: 5 / 10 ---
2025-03-14T04:34:41.5930212Z example = <DocTest(torch._functorch.eager_transforms linearize:0 ln 1704) at 0x7f2700032be0>
2025-03-14T04:34:41.5931793Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/const_fold.py:264: 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
2025-03-14T04:34:41.5931974Z       new_node = root_const_gm.graph.get_attr(in_node.target)
2025-03-14T04:34:41.5932078Z     
2025-03-14T04:34:41.5932265Z --- Runtime Warning: 6 / 10 ---
2025-03-14T04:34:41.5932574Z example = <DocTest(torch.nn.modules.transformer Transformer:0 ln 88) at 0x7f2700033020>
2025-03-14T04:34:41.5933800Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py:382: 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)
2025-03-14T04:34:41.5933916Z       warnings.warn(
2025-03-14T04:34:41.5934039Z     
2025-03-14T04:34:41.5934249Z --- Runtime Warning: 7 / 10 ---
2025-03-14T04:34:41.5934589Z example = <DocTest(torch.nn.modules.transformer TransformerEncoder:0 ln 326) at 0x7f26fd760380>
2025-03-14T04:34:41.5935728Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py:382: 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)
2025-03-14T04:34:41.5935830Z       warnings.warn(
2025-03-14T04:34:41.5935930Z     
2025-03-14T04:34:41.5936114Z --- Runtime Warning: 8 / 10 ---
2025-03-14T04:34:41.5936411Z example = <DocTest(torch.nn.utils.weight_norm weight_norm:0 ln 133) at 0x7f26fd762360>
2025-03-14T04:34:41.5937237Z     /opt/conda/envs/py_3.13/lib/python3.13/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`.
2025-03-14T04:34:41.5937428Z       WeightNorm.apply(module, name, dim)
2025-03-14T04:34:41.5937515Z     
2025-03-14T04:34:41.5937715Z --- Runtime Warning: 9 / 10 ---
2025-03-14T04:34:41.5938029Z example = <DocTest(torch.nn.utils.weight_norm remove_weight_norm:0 ln 155) at 0x7f26fd762470>
2025-03-14T04:34:41.5938864Z     /opt/conda/envs/py_3.13/lib/python3.13/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`.
2025-03-14T04:34:41.5938995Z       WeightNorm.apply(module, name, dim)
2025-03-14T04:34:41.5939096Z     
2025-03-14T04:34:41.5939283Z --- Runtime Warning: 10 / 10 ---
2025-03-14T04:34:41.5939581Z example = <DocTest(torch.utils._pytree register_dataclass:0 ln 268) at 0x7f26fd7307c0>
2025-03-14T04:34:41.5940438Z     /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_export/utils.py:453: FutureWarning: `torch.utils._pytree._register_pytree_node` is deprecated. Please use `torch.utils._pytree.register_pytree_node` instead.
2025-03-14T04:34:41.5940566Z       _register_pytree_node(
2025-03-14T04:34:41.5940656Z     
2025-03-14T04:34:41.5940974Z === 342 passed, 367 skipped, 126 warnings in 12.99 seconds ===
2025-03-14T04:34:41.5941176Z Running test_autoload_enable 1/1 ... [2025-03-14 04:34:41.418629]
2025-03-14T04:34:44.1187158Z running install
2025-03-14T04:34:44.1188454Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/setuptools/_distutils/cmd.py:79: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-03-14T04:34:44.1189283Z !!
2025-03-14T04:34:44.1189417Z 
2025-03-14T04:34:44.1189551Z         ********************************************************************************
2025-03-14T04:34:44.1189962Z         Please avoid running ``setup.py`` directly.
2025-03-14T04:34:44.1190393Z         Instead, use pypa/build, pypa/installer or other
2025-03-14T04:34:44.1190795Z         standards-based tools.
2025-03-14T04:34:44.1191019Z 
2025-03-14T04:34:44.1191534Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-03-14T04:34:44.1192096Z         ********************************************************************************
2025-03-14T04:34:44.1192365Z 
2025-03-14T04:34:44.1192454Z !!
2025-03-14T04:34:44.1192702Z   self.initialize_options()
2025-03-14T04:34:44.1323619Z running build
2025-03-14T04:34:44.1323927Z running build_py
2025-03-14T04:34:44.1403093Z creating build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension
2025-03-14T04:34:44.1405272Z copying torch_test_cpp_extension/__init__.py -> build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension
2025-03-14T04:34:44.1409133Z running build_ext
2025-03-14T04:34:44.2212306Z building 'torch_test_cpp_extension.cpp' extension
2025-03-14T04:34:44.2214178Z creating build/temp.linux-x86_64-cpython-313
2025-03-14T04:34:44.2218962Z g++ -pthread -B /opt/conda/envs/py_3.13/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.13/include/python3.13 -c extension.cpp -o build/temp.linux-x86_64-cpython-313/extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=cpp -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++17
2025-03-14T04:34:45.2800862Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/Exceptions.h:12,
2025-03-14T04:34:45.2801929Z                  from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/python.h:11,
2025-03-14T04:34:45.2802861Z                  from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:9,
2025-03-14T04:34:45.2803622Z                  from extension.cpp:1:
2025-03-14T04:34:45.2805109Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘class pybind11::class_<MatrixMultiplier>’:
2025-03-14T04:34:45.2806332Z extension.cpp:45:53:   required from here
2025-03-14T04:34:45.2808877Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/pybind11/pybind11.h:1539:7: warning: ‘pybind11::class_<MatrixMultiplier>’ declared with greater visibility than its base ‘pybind11::detail::generic_type’ [-Wattributes]
2025-03-14T04:34:45.2812567Z  1539 | class class_ : public detail::generic_type {
2025-03-14T04:34:45.2812964Z       |       ^~~~~~
2025-03-14T04:34:45.2814750Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘pybind11::class_< <template-parameter-1-1>, <template-parameter-1-2> >::class_(pybind11::handle, const char*, const Extra& ...) [with Extra = {}; type_ = MatrixMultiplier; options = {}]’:
2025-03-14T04:34:45.2816211Z extension.cpp:45:53:   required from here
2025-03-14T04:34:45.2819562Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/pybind11/pybind11.h:1599:28: warning: ‘pybind11::class_< <template-parameter-1-1>, <template-parameter-1-2> >::class_(pybind11::handle, const char*, const Extra& ...) [with Extra = {}; type_ = MatrixMultiplier; options = {}]::<lambda(pybind11::detail::internals&)>’ declared with greater visibility than the type of its field ‘pybind11::class_< <template-parameter-1-1>, <template-parameter-1-2> >::class_(pybind11::handle, const char*, const Extra& ...) [with Extra = {}; type_ = MatrixMultiplier; options = {}]::<lambda(pybind11::detail::internals&)>::<record capture>’ [-Wattributes]
2025-03-14T04:34:45.2822335Z  1599 |             with_internals([&](internals &internals) {
2025-03-14T04:34:45.2822738Z       |                            ^~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-03-14T04:34:45.2823414Z  1600 |                 auto &instances = record.module_local ? get_local_internals().registered_types_cpp
2025-03-14T04:34:45.2824018Z       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-03-14T04:34:45.2824491Z  1601 |                                                       : internals.registered_types_cpp;
2025-03-14T04:34:45.2824931Z       |                                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-03-14T04:34:45.2825393Z  1602 |                 instances[std::type_index(typeid(type_alias))]
2025-03-14T04:34:45.2825876Z       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-03-14T04:34:45.2826296Z  1603 |                     = instances[std::type_index(typeid(type))];
2025-03-14T04:34:45.2826747Z       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-03-14T04:34:45.2827100Z  1604 |             });
2025-03-14T04:34:45.2827379Z       |             ~               
2025-03-14T04:34:45.2830826Z g++ -pthread -B /opt/conda/envs/py_3.13/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -pthread -B /opt/conda/envs/py_3.13/compiler_compat -shared -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib build/temp.linux-x86_64-cpython-313/extension.o -L/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/cpp.cpython-313-x86_64-linux-gnu.so
2025-03-14T04:34:45.6732709Z building 'torch_test_cpp_extension.maia' extension
2025-03-14T04:34:45.6738052Z g++ -pthread -B /opt/conda/envs/py_3.13/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.13/include/python3.13 -c maia_extension.cpp -o build/temp.linux-x86_64-cpython-313/maia_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=maia -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++17
2025-03-14T04:34:46.6478665Z g++ -pthread -B /opt/conda/envs/py_3.13/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -pthread -B /opt/conda/envs/py_3.13/compiler_compat -shared -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib build/temp.linux-x86_64-cpython-313/maia_extension.o -L/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/maia.cpython-313-x86_64-linux-gnu.so
2025-03-14T04:34:47.0433677Z building 'torch_test_cpp_extension.rng' extension
2025-03-14T04:34:47.0438154Z g++ -pthread -B /opt/conda/envs/py_3.13/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.13/include/python3.13 -c rng_extension.cpp -o build/temp.linux-x86_64-cpython-313/rng_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=rng -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++17
2025-03-14T04:34:48.2214983Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8,
2025-03-14T04:34:48.2215974Z                  from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec.h:7,
2025-03-14T04:34:48.2216809Z                  from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/Loops.h:37,
2025-03-14T04:34:48.2217762Z                  from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9,
2025-03-14T04:34:48.2218485Z                  from rng_extension.cpp:6:
2025-03-14T04:34:48.2219343Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1158: warning: ignoring #pragma unroll  [-Wunknown-pragmas]
2025-03-14T04:34:48.2220350Z  1158 | # pragma unroll
2025-03-14T04:34:48.2220697Z       | 
2025-03-14T04:34:48.2221273Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1198,
2025-03-14T04:34:48.2222215Z                  from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8,
2025-03-14T04:34:48.2223329Z                  from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec.h:7,
2025-03-14T04:34:48.2224554Z                  from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/Loops.h:37,
2025-03-14T04:34:48.2225501Z                  from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9,
2025-03-14T04:34:48.2226204Z                  from rng_extension.cpp:6:
2025-03-14T04:34:48.2227030Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_n.h:59: warning: ignoring #pragma unroll  [-Wunknown-pragmas]
2025-03-14T04:34:48.2227904Z    59 | #pragma unroll
2025-03-14T04:34:48.2228177Z       | 
2025-03-14T04:34:48.2228882Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_n.h:72: warning: ignoring #pragma unroll  [-Wunknown-pragmas]
2025-03-14T04:34:48.2229681Z    72 | #pragma unroll
2025-03-14T04:34:48.2229944Z       | 
2025-03-14T04:34:48.2230701Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_n.h:87: warning: ignoring #pragma unroll  [-Wunknown-pragmas]
2025-03-14T04:34:48.2231649Z    87 | #pragma unroll
2025-03-14T04:34:48.2231913Z       | 
2025-03-14T04:34:48.2232482Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1199,
2025-03-14T04:34:48.2233420Z                  from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8,
2025-03-14T04:34:48.2234269Z                  from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec.h:7,
2025-03-14T04:34:48.2235175Z                  from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/Loops.h:37,
2025-03-14T04:34:48.2236126Z                  from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9,
2025-03-14T04:34:48.2236835Z                  from rng_extension.cpp:6:
2025-03-14T04:34:48.2237677Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_mask.h:153: warning: ignoring #pragma unroll  [-Wunknown-pragmas]
2025-03-14T04:34:48.2238508Z   153 | #pragma unroll
2025-03-14T04:34:48.2238762Z       | 
2025-03-14T04:34:48.2242075Z g++ -pthread -B /opt/conda/envs/py_3.13/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -pthread -B /opt/conda/envs/py_3.13/compiler_compat -shared -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib build/temp.linux-x86_64-cpython-313/rng_extension.o -L/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/rng.cpython-313-x86_64-linux-gnu.so
2025-03-14T04:34:48.6564401Z running install_lib
2025-03-14T04:34:48.6645816Z copying build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/cpp.cpython-313-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension
2025-03-14T04:34:48.6748310Z copying build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/maia.cpython-313-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension
2025-03-14T04:34:48.6847571Z copying build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/rng.cpython-313-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension
2025-03-14T04:34:48.6957168Z running install_egg_info
2025-03-14T04:34:48.7136983Z running egg_info
2025-03-14T04:34:48.7207734Z writing torch_test_cpp_extension.egg-info/PKG-INFO
2025-03-14T04:34:48.7210559Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt
2025-03-14T04:34:48.7212256Z writing entry points to torch_test_cpp_extension.egg-info/entry_points.txt
2025-03-14T04:34:48.7214219Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt
2025-03-14T04:34:48.7291434Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-03-14T04:34:48.7299627Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-03-14T04:34:48.7301475Z removing './install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension-0.0.0-py3.13.egg-info' (and everything under it)
2025-03-14T04:34:48.7303133Z Copying torch_test_cpp_extension.egg-info to ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension-0.0.0-py3.13.egg-info
2025-03-14T04:34:48.7309198Z running install_scripts
2025-03-14T04:34:52.2262347Z 
2025-03-14T04:34:52.2262859Z Running tests...
2025-03-14T04:34:52.2263296Z ----------------------------------------------------------------------
2025-03-14T04:34:52.2376275Z .
2025-03-14T04:34:52.2376622Z ----------------------------------------------------------------------
2025-03-14T04:34:52.2377028Z Ran 1 test in 0.011s
2025-03-14T04:34:52.2377209Z 
2025-03-14T04:34:52.2377296Z OK
2025-03-14T04:34:52.2377429Z 
2025-03-14T04:34:52.2377547Z Generating XML reports...
2025-03-14T04:34:52.9395518Z Running test_cpp_extensions_aot_no_ninja 1/1 ... [2025-03-14 04:34:52.939194]
2025-03-14T04:34:55.5651860Z running install
2025-03-14T04:34:55.5652912Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/setuptools/_distutils/cmd.py:79: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-03-14T04:34:55.5653760Z !!
2025-03-14T04:34:55.5653886Z 
2025-03-14T04:34:55.5654041Z         ********************************************************************************
2025-03-14T04:34:55.5654452Z         Please avoid running ``setup.py`` directly.
2025-03-14T04:34:55.5654891Z         Instead, use pypa/build, pypa/installer or other
2025-03-14T04:34:55.5655290Z         standards-based tools.
2025-03-14T04:34:55.5655490Z 
2025-03-14T04:34:55.5655824Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-03-14T04:34:55.5656384Z         ********************************************************************************
2025-03-14T04:34:55.5656635Z 
2025-03-14T04:34:55.5656735Z !!
2025-03-14T04:34:55.5656965Z   self.initialize_options()
2025-03-14T04:34:55.5786768Z running build
2025-03-14T04:34:55.5787107Z running build_py
2025-03-14T04:34:55.5867315Z creating build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension
2025-03-14T04:34:55.5868945Z copying torch_test_cpp_extension/__init__.py -> build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension
2025-03-14T04:34:55.5872474Z running build_ext
2025-03-14T04:34:55.6666865Z building 'torch_test_cpp_extension.cpp' extension
2025-03-14T04:34:55.6668106Z creating build/temp.linux-x86_64-cpython-313
2025-03-14T04:34:55.6673355Z g++ -pthread -B /opt/conda/envs/py_3.13/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.13/include/python3.13 -c extension.cpp -o build/temp.linux-x86_64-cpython-313/extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=cpp -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++17
2025-03-14T04:34:56.6836847Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/Exceptions.h:12,
2025-03-14T04:34:56.6838085Z                  from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/python.h:11,
2025-03-14T04:34:56.6838992Z                  from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:9,
2025-03-14T04:34:56.6839570Z                  from extension.cpp:1:
2025-03-14T04:34:56.6840909Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘class pybind11::class_<MatrixMultiplier>’:
2025-03-14T04:34:56.6841795Z extension.cpp:45:53:   required from here
2025-03-14T04:34:56.6843297Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/pybind11/pybind11.h:1539:7: warning: ‘pybind11::class_<MatrixMultiplier>’ declared with greater visibility than its base ‘pybind11::detail::generic_type’ [-Wattributes]
2025-03-14T04:34:56.6844676Z  1539 | class class_ : public detail::generic_type {
2025-03-14T04:34:56.6845048Z       |       ^~~~~~
2025-03-14T04:34:56.6846988Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘pybind11::class_< <template-parameter-1-1>, <template-parameter-1-2> >::class_(pybind11::handle, const char*, const Extra& ...) [with Extra = {}; type_ = MatrixMultiplier; options = {}]’:
2025-03-14T04:34:56.6848429Z extension.cpp:45:53:   required from here
2025-03-14T04:34:56.6851804Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/pybind11/pybind11.h:1599:28: warning: ‘pybind11::class_< <template-parameter-1-1>, <template-parameter-1-2> >::class_(pybind11::handle, const char*, const Extra& ...) [with Extra = {}; type_ = MatrixMultiplier; options = {}]::<lambda(pybind11::detail::internals&)>’ declared with greater visibility than the type of its field ‘pybind11::class_< <template-parameter-1-1>, <template-parameter-1-2> >::class_(pybind11::handle, const char*, const Extra& ...) [with Extra = {}; type_ = MatrixMultiplier; options = {}]::<lambda(pybind11::detail::internals&)>::<record capture>’ [-Wattributes]
2025-03-14T04:34:56.6854585Z  1599 |             with_internals([&](internals &internals) {
2025-03-14T04:34:56.6855000Z       |                            ^~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-03-14T04:34:56.6855546Z  1600 |                 auto &instances = record.module_local ? get_local_internals().registered_types_cpp
2025-03-14T04:34:56.6856145Z       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-03-14T04:34:56.6856619Z  1601 |                                                       : internals.registered_types_cpp;
2025-03-14T04:34:56.6857050Z       |                                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-03-14T04:34:56.6857594Z  1602 |                 instances[std::type_index(typeid(type_alias))]
2025-03-14T04:34:56.6858030Z       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-03-14T04:34:56.6858461Z  1603 |                     = instances[std::type_index(typeid(type))];
2025-03-14T04:34:56.6858883Z       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-03-14T04:34:56.6859242Z  1604 |             });
2025-03-14T04:34:56.6859501Z       |             ~               
2025-03-14T04:34:56.6862797Z g++ -pthread -B /opt/conda/envs/py_3.13/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -pthread -B /opt/conda/envs/py_3.13/compiler_compat -shared -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib build/temp.linux-x86_64-cpython-313/extension.o -L/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/cpp.cpython-313-x86_64-linux-gnu.so
2025-03-14T04:34:57.1045347Z building 'torch_test_cpp_extension.maia' extension
2025-03-14T04:34:57.1050340Z g++ -pthread -B /opt/conda/envs/py_3.13/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.13/include/python3.13 -c maia_extension.cpp -o build/temp.linux-x86_64-cpython-313/maia_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=maia -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++17
2025-03-14T04:34:58.1523119Z g++ -pthread -B /opt/conda/envs/py_3.13/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -pthread -B /opt/conda/envs/py_3.13/compiler_compat -shared -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib build/temp.linux-x86_64-cpython-313/maia_extension.o -L/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/maia.cpython-313-x86_64-linux-gnu.so
2025-03-14T04:34:58.5561121Z building 'torch_test_cpp_extension.rng' extension
2025-03-14T04:34:58.5565668Z g++ -pthread -B /opt/conda/envs/py_3.13/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.13/include/python3.13 -c rng_extension.cpp -o build/temp.linux-x86_64-cpython-313/rng_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=rng -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++17
2025-03-14T04:34:59.7289418Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8,
2025-03-14T04:34:59.7290427Z                  from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec.h:7,
2025-03-14T04:34:59.7291519Z                  from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/Loops.h:37,
2025-03-14T04:34:59.7292584Z                  from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9,
2025-03-14T04:34:59.7293331Z                  from rng_extension.cpp:6:
2025-03-14T04:34:59.7294244Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1158: warning: ignoring #pragma unroll  [-Wunknown-pragmas]
2025-03-14T04:34:59.7295141Z  1158 | # pragma unroll
2025-03-14T04:34:59.7295464Z       | 
2025-03-14T04:34:59.7296033Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1198,
2025-03-14T04:34:59.7297214Z                  from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8,
2025-03-14T04:34:59.7298251Z                  from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec.h:7,
2025-03-14T04:34:59.7299283Z                  from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/Loops.h:37,
2025-03-14T04:34:59.7300287Z                  from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9,
2025-03-14T04:34:59.7301100Z                  from rng_extension.cpp:6:
2025-03-14T04:34:59.7301976Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_n.h:59: warning: ignoring #pragma unroll  [-Wunknown-pragmas]
2025-03-14T04:34:59.7302839Z    59 | #pragma unroll
2025-03-14T04:34:59.7303155Z       | 
2025-03-14T04:34:59.7303943Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_n.h:72: warning: ignoring #pragma unroll  [-Wunknown-pragmas]
2025-03-14T04:34:59.7304793Z    72 | #pragma unroll
2025-03-14T04:34:59.7305065Z       | 
2025-03-14T04:34:59.7305898Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_n.h:87: warning: ignoring #pragma unroll  [-Wunknown-pragmas]
2025-03-14T04:34:59.7306758Z    87 | #pragma unroll
2025-03-14T04:34:59.7307082Z       | 
2025-03-14T04:34:59.7307706Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1199,
2025-03-14T04:34:59.7308709Z                  from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8,
2025-03-14T04:34:59.7309602Z                  from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec.h:7,
2025-03-14T04:34:59.7310479Z                  from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/Loops.h:37,
2025-03-14T04:34:59.7311527Z                  from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9,
2025-03-14T04:34:59.7312283Z                  from rng_extension.cpp:6:
2025-03-14T04:34:59.7313183Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_mask.h:153: warning: ignoring #pragma unroll  [-Wunknown-pragmas]
2025-03-14T04:34:59.7314062Z   153 | #pragma unroll
2025-03-14T04:34:59.7314326Z       | 
2025-03-14T04:34:59.7317878Z g++ -pthread -B /opt/conda/envs/py_3.13/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -pthread -B /opt/conda/envs/py_3.13/compiler_compat -shared -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib build/temp.linux-x86_64-cpython-313/rng_extension.o -L/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/rng.cpython-313-x86_64-linux-gnu.so
2025-03-14T04:35:00.1329877Z running install_lib
2025-03-14T04:35:00.1411306Z copying build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/cpp.cpython-313-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension
2025-03-14T04:35:00.1515042Z copying build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/maia.cpython-313-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension
2025-03-14T04:35:00.1613172Z copying build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/rng.cpython-313-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension
2025-03-14T04:35:00.1718808Z running install_egg_info
2025-03-14T04:35:00.1895210Z running egg_info
2025-03-14T04:35:00.1965080Z writing torch_test_cpp_extension.egg-info/PKG-INFO
2025-03-14T04:35:00.1968663Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt
2025-03-14T04:35:00.1970807Z writing entry points to torch_test_cpp_extension.egg-info/entry_points.txt
2025-03-14T04:35:00.1972737Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt
2025-03-14T04:35:00.2047005Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-03-14T04:35:00.2055407Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-03-14T04:35:00.2057376Z removing './install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension-0.0.0-py3.13.egg-info' (and everything under it)
2025-03-14T04:35:00.2058929Z Copying torch_test_cpp_extension.egg-info to ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension-0.0.0-py3.13.egg-info
2025-03-14T04:35:00.2064720Z running install_scripts
2025-03-14T04:35:02.4472946Z running install
2025-03-14T04:35:02.4474491Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/setuptools/_distutils/cmd.py:79: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-03-14T04:35:02.4476045Z !!
2025-03-14T04:35:02.4476187Z 
2025-03-14T04:35:02.4476325Z         ********************************************************************************
2025-03-14T04:35:02.4476741Z         Please avoid running ``setup.py`` directly.
2025-03-14T04:35:02.4477183Z         Instead, use pypa/build, pypa/installer or other
2025-03-14T04:35:02.4477597Z         standards-based tools.
2025-03-14T04:35:02.4477817Z 
2025-03-14T04:35:02.4478133Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-03-14T04:35:02.4478695Z         ********************************************************************************
2025-03-14T04:35:02.4478963Z 
2025-03-14T04:35:02.4479055Z !!
2025-03-14T04:35:02.4479303Z   self.initialize_options()
2025-03-14T04:35:02.4607679Z running build
2025-03-14T04:35:02.4608206Z running build_ext
2025-03-14T04:35:02.5684730Z building 'no_python_abi_suffix_test' extension
2025-03-14T04:35:02.5984598Z Emitting ninja build file /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-313/build.ninja...
2025-03-14T04:35:02.5992231Z Compiling objects...
2025-03-14T04:35:02.5992887Z Using envvar MAX_JOBS (6) as the number of workers...
2025-03-14T04:35:02.6256580Z ninja: no work to do.
2025-03-14T04:35:02.6307110Z g++ -pthread -B /opt/conda/envs/py_3.13/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -pthread -B /opt/conda/envs/py_3.13/compiler_compat -shared -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-313/no_python_abi_suffix_test.o -L/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-313/no_python_abi_suffix_test.so
2025-03-14T04:35:02.6908321Z running install_lib
2025-03-14T04:35:02.6988012Z copying build/lib.linux-x86_64-cpython-313/no_python_abi_suffix_test.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages
2025-03-14T04:35:02.6993270Z running install_egg_info
2025-03-14T04:35:02.7172694Z running egg_info
2025-03-14T04:35:02.7241634Z writing no_python_abi_suffix_test.egg-info/PKG-INFO
2025-03-14T04:35:02.7245201Z writing dependency_links to no_python_abi_suffix_test.egg-info/dependency_links.txt
2025-03-14T04:35:02.7247768Z writing top-level names to no_python_abi_suffix_test.egg-info/top_level.txt
2025-03-14T04:35:02.7322871Z reading manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt'
2025-03-14T04:35:02.7335772Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt'
2025-03-14T04:35:02.7337537Z removing './install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/no_python_abi_suffix_test-0.0.0-py3.13.egg-info' (and everything under it)
2025-03-14T04:35:02.7339216Z Copying no_python_abi_suffix_test.egg-info to ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/no_python_abi_suffix_test-0.0.0-py3.13.egg-info
2025-03-14T04:35:02.7344146Z running install_scripts
2025-03-14T04:35:03.2222148Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:35:03.2224883Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:35:03.222220]
2025-03-14T04:35:06.7015875Z 
2025-03-14T04:35:06.7017240Z 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_2811df82926631ab_.log
2025-03-14T04:35:06.7025730Z Running 20 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_libtorch_agnostic, 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_python_agnostic, 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_conv_backend_override, 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
2025-03-14T04:35:06.7033060Z 
2025-03-14T04:35:06.7033336Z Running inductor/test_compiled_autograd 1/1 ... [2025-03-14 04:35:06.701994]
2025-03-14T04:35:06.7033823Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:35:06.7035172Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_compiled_autograd.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'] ... [2025-03-14 04:35:06.702318]
2025-03-14T04:35:14.8002163Z 
2025-03-14T04:35:14.8003310Z inductor/test_compiled_autograd 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compiled_autograd_1.1_6116784190f78ec2_.log
2025-03-14T04:35:14.8004107Z 
2025-03-14T04:35:14.8005235Z Running dynamo/test_graph_deduplication 1/1 ... [2025-03-14 04:35:14.800338]
2025-03-14T04:35:14.8005744Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:35:14.8009576Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_graph_deduplication.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'] ... [2025-03-14 04:35:14.800726]
2025-03-14T04:35:18.0201014Z 
2025-03-14T04:35:18.0202651Z dynamo/test_graph_deduplication 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_graph_deduplication_1.1_d5f5a0343c20df93_.log
2025-03-14T04:35:18.0203693Z 
2025-03-14T04:35:18.0204140Z Running inductor/test_torchbind 1/1 ... [2025-03-14 04:35:18.020226]
2025-03-14T04:35:18.0204616Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:35:18.0208206Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:35:18.020574]
2025-03-14T04:35:21.4891685Z 
2025-03-14T04:35:21.4892762Z inductor/test_torchbind 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchbind_1.1_407ad79ed85c064e_.log
2025-03-14T04:35:21.4893560Z 
2025-03-14T04:35:21.4894933Z Running dynamo/test_structured_trace 1/1 ... [2025-03-14 04:35:21.489326]
2025-03-14T04:35:21.4895726Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:35:21.4899136Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_structured_trace.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'] ... [2025-03-14 04:35:21.489656]
2025-03-14T04:35:28.1113805Z 
2025-03-14T04:35:28.1115262Z dynamo/test_structured_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_structured_trace_1.1_0c82ac08fed32a98_.log
2025-03-14T04:35:28.1116052Z 
2025-03-14T04:35:28.1117445Z Running test_cuda_expandable_segments 1/1 ... [2025-03-14 04:35:28.111564]
2025-03-14T04:35:28.1118163Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:35:28.1121733Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:35:28.111894]
2025-03-14T04:35:32.6948091Z 
2025-03-14T04:35:32.6949425Z 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_2e1f245fb7c17f8e_.log
2025-03-14T04:35:32.6950211Z 
2025-03-14T04:35:32.6951593Z Running inductor/test_cpu_repro 1/1 ... [2025-03-14 04:35:32.694973]
2025-03-14T04:35:32.6952230Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:35:32.6955643Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_cpu_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'] ... [2025-03-14 04:35:32.695308]
2025-03-14T04:35:39.8803711Z 
2025-03-14T04:35:39.8804941Z inductor/test_cpu_repro 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_repro_1.1_f6eed42875aeb206_.log
2025-03-14T04:35:39.8805723Z 
2025-03-14T04:35:39.8807165Z Running inductor/test_external_callables 1/1 ... [2025-03-14 04:35:39.880534]
2025-03-14T04:35:39.8807676Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:35:39.8811114Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_external_callables.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'] ... [2025-03-14 04:35:39.880866]
2025-03-14T04:35:43.1244970Z 
2025-03-14T04:35:43.1246100Z inductor/test_external_callables 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_external_callables_1.1_5074dcda1d55ba52_.log
2025-03-14T04:35:43.1247126Z 
2025-03-14T04:35:43.1247669Z Running inductor/test_cpp_wrapper_hipify 1/1 ... [2025-03-14 04:35:43.124609]
2025-03-14T04:35:43.1248174Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:35:43.1251987Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_cpp_wrapper_hipify.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'] ... [2025-03-14 04:35:43.124939]
2025-03-14T04:35:46.2412361Z 
2025-03-14T04:35:46.2413649Z inductor/test_cpp_wrapper_hipify 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpp_wrapper_hipify_1.1_c58df940afefc5df_.log
2025-03-14T04:35:46.2414468Z 
2025-03-14T04:35:46.2416094Z Running inductor/test_cudacodecache 1/1 ... [2025-03-14 04:35:46.241441]
2025-03-14T04:35:46.2416586Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:35:46.2420089Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_cudacodecache.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'] ... [2025-03-14 04:35:46.241794]
2025-03-14T04:35:49.5303458Z 
2025-03-14T04:35:49.5304485Z inductor/test_cudacodecache 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cudacodecache_1.1_11b9ab4ab432684a_.log
2025-03-14T04:35:49.5305272Z 
2025-03-14T04:35:49.5307135Z Running dynamo/test_fx_passes_pre_grad 1/1 ... [2025-03-14 04:35:49.530543]
2025-03-14T04:35:49.5307661Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:35:49.5311078Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_fx_passes_pre_grad.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'] ... [2025-03-14 04:35:49.530902]
2025-03-14T04:35:52.7057039Z 
2025-03-14T04:35:52.7058242Z dynamo/test_fx_passes_pre_grad 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_fx_passes_pre_grad_1.1_e5e1f73b17787e81_.log
2025-03-14T04:35:52.7059062Z 
2025-03-14T04:35:52.7060511Z Running inductor/test_b2b_gemm 1/1 ... [2025-03-14 04:35:52.705881]
2025-03-14T04:35:52.7060985Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:35:52.7064186Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_b2b_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'] ... [2025-03-14 04:35:52.706213]
2025-03-14T04:35:59.4189952Z 
2025-03-14T04:35:59.4191069Z inductor/test_b2b_gemm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_b2b_gemm_1.1_5fe52eb12ef40f51_.log
2025-03-14T04:35:59.4191802Z 
2025-03-14T04:35:59.4192895Z Running export/test_unflatten_training_ir 1/1 ... [2025-03-14 04:35:59.419124]
2025-03-14T04:35:59.4193409Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:35:59.4197028Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_unflatten_training_ir.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'] ... [2025-03-14 04:35:59.419456]
2025-03-14T04:36:02.8352595Z 
2025-03-14T04:36:02.8353731Z export/test_unflatten_training_ir 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_unflatten_training_ir_1.1_e435140a3f062671_.log
2025-03-14T04:36:02.8354563Z 
2025-03-14T04:36:02.8355560Z Running export/test_export_training_ir_to_run_decomp 1/1 ... [2025-03-14 04:36:02.835397]
2025-03-14T04:36:02.8356109Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:36:02.8359770Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_export_training_ir_to_run_decomp.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'] ... [2025-03-14 04:36:02.835748]
2025-03-14T04:36:09.6739682Z 
2025-03-14T04:36:09.6740923Z export/test_export_training_ir_to_run_decomp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_export_training_ir_to_run_decomp_1.1_165902056a2280fc_.log
2025-03-14T04:36:09.6741870Z 
2025-03-14T04:36:09.6742974Z Running inductor/test_op_completeness 1/1 ... [2025-03-14 04:36:09.674112]
2025-03-14T04:36:09.6743714Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:36:09.6747032Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_op_completeness.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'] ... [2025-03-14 04:36:09.674445]
2025-03-14T04:36:13.0370706Z 
2025-03-14T04:36:13.0371965Z inductor/test_op_completeness 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_op_completeness_1.1_c55cd47862eb1baa_.log
2025-03-14T04:36:13.0373474Z 
2025-03-14T04:36:13.0374070Z Running inductor/test_smoke 1/1 ... [2025-03-14 04:36:13.037229]
2025-03-14T04:36:13.0374563Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:36:13.0377814Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_smoke.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'] ... [2025-03-14 04:36:13.037567]
2025-03-14T04:36:19.7882600Z 
2025-03-14T04:36:19.7883704Z inductor/test_smoke 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_smoke_1.1_7b3d3c4f252080f8_.log
2025-03-14T04:36:19.7884396Z 
2025-03-14T04:36:19.7886083Z Running inductor/test_utils 1/1 ... [2025-03-14 04:36:19.788438]
2025-03-14T04:36:19.7886540Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:36:19.7889960Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_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'] ... [2025-03-14 04:36:19.788768]
2025-03-14T04:36:23.0077935Z 
2025-03-14T04:36:23.0079144Z inductor/test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_utils_1.1_f923d48ebb1bac01_.log
2025-03-14T04:36:23.0079885Z 
2025-03-14T04:36:23.0081930Z Running inductor/test_torchinductor_strided_blocks 1/1 ... [2025-03-14 04:36:23.007956]
2025-03-14T04:36:23.0082586Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:36:23.0085085Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:36:23.008272]
2025-03-14T04:36:29.9363941Z 
2025-03-14T04:36:29.9365700Z 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_a8e0c5bacf914af9_.log
2025-03-14T04:36:29.9367260Z 
2025-03-14T04:36:29.9367563Z Running inductor/test_aot_inductor_arrayref 1/1 ... [2025-03-14 04:36:29.936467]
2025-03-14T04:36:29.9368082Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:36:29.9370759Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_aot_inductor_arrayref.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'] ... [2025-03-14 04:36:29.936816]
2025-03-14T04:36:36.9449830Z 
2025-03-14T04:36:36.9450940Z inductor/test_aot_inductor_arrayref 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_arrayref_1.1_99629e96436a6b0c_.log
2025-03-14T04:36:36.9452019Z 
2025-03-14T04:36:36.9452965Z Running inductor/test_ck_backend 1/1 ... [2025-03-14 04:36:36.945117]
2025-03-14T04:36:36.9453500Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:36:36.9456904Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_ck_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'] ... [2025-03-14 04:36:36.945449]
2025-03-14T04:36:43.6036874Z 
2025-03-14T04:36:43.6037883Z inductor/test_ck_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_ck_backend_1.1_aebb02dff9d53607_.log
2025-03-14T04:36:43.6038634Z 
2025-03-14T04:36:43.6039845Z Running inductor/test_pad_mm 1/1 ... [2025-03-14 04:36:43.603816]
2025-03-14T04:36:43.6040300Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:36:43.6043892Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_pad_mm.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'] ... [2025-03-14 04:36:43.604129]
2025-03-14T04:36:50.2974221Z 
2025-03-14T04:36:50.2975432Z inductor/test_pad_mm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_pad_mm_1.1_f1858a6e2b41b6fc_.log
2025-03-14T04:36:50.2976177Z 
2025-03-14T04:36:50.2977888Z Running dynamo/test_reconstruct 1/1 ... [2025-03-14 04:36:50.297618]
2025-03-14T04:36:50.2978365Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:36:50.2981710Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_reconstruct.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'] ... [2025-03-14 04:36:50.297957]
2025-03-14T04:36:53.5451697Z 
2025-03-14T04:36:53.5453419Z dynamo/test_reconstruct 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_reconstruct_1.1_d22bf6e58a942f9b_.log
2025-03-14T04:36:53.5454725Z 
2025-03-14T04:36:53.5456187Z Running dynamo/test_base_output 1/1 ... [2025-03-14 04:36:53.545405]
2025-03-14T04:36:53.5456902Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:36:53.5461540Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_base_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'] ... [2025-03-14 04:36:53.545831]
2025-03-14T04:36:56.8538191Z 
2025-03-14T04:36:56.8539257Z dynamo/test_base_output 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_base_output_1.1_1c6e90bbe7e2d1a2_.log
2025-03-14T04:36:56.8540053Z 
2025-03-14T04:36:56.8541760Z Running inductor/test_combo_kernels 1/1 ... [2025-03-14 04:36:56.854005]
2025-03-14T04:36:56.8542344Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:36:56.8545877Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_combo_kernels.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'] ... [2025-03-14 04:36:56.854340]
2025-03-14T04:37:03.8505504Z 
2025-03-14T04:37:03.8506813Z inductor/test_combo_kernels 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_combo_kernels_1.1_e4bdcb06d1bf83ee_.log
2025-03-14T04:37:03.8507592Z 
2025-03-14T04:37:03.8508685Z Running inductor/test_autoheuristic 1/1 ... [2025-03-14 04:37:03.850702]
2025-03-14T04:37:03.8509338Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:37:03.8512767Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_autoheuristic.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'] ... [2025-03-14 04:37:03.851046]
2025-03-14T04:37:10.6028166Z 
2025-03-14T04:37:10.6029228Z inductor/test_autoheuristic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_autoheuristic_1.1_b627876153d0b0c2_.log
2025-03-14T04:37:10.6030178Z 
2025-03-14T04:37:10.6030981Z Running inductor/test_cooperative_reductions 1/1 ... [2025-03-14 04:37:10.602901]
2025-03-14T04:37:10.6031520Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:37:10.6034338Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_cooperative_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'] ... [2025-03-14 04:37:10.603187]
2025-03-14T04:37:17.2218029Z 
2025-03-14T04:37:17.2219195Z inductor/test_cooperative_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cooperative_reductions_1.1_4ec71ff71f8618de_.log
2025-03-14T04:37:17.2220463Z 
2025-03-14T04:37:17.2221101Z Running export/test_export_legacy 1/1 ... [2025-03-14 04:37:17.221949]
2025-03-14T04:37:17.2221602Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:37:17.2224519Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_export_legacy.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'] ... [2025-03-14 04:37:17.222229]
2025-03-14T04:37:23.7680652Z 
2025-03-14T04:37:23.7681737Z export/test_export_legacy 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_export_legacy_1.1_45bb680ef0791dba_.log
2025-03-14T04:37:23.7682718Z 
2025-03-14T04:37:23.7683592Z Running inductor/test_coordinate_descent_tuner 1/1 ... [2025-03-14 04:37:23.768165]
2025-03-14T04:37:23.7684203Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:37:23.7688263Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_coordinate_descent_tuner.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'] ... [2025-03-14 04:37:23.768542]
2025-03-14T04:37:30.3513647Z 
2025-03-14T04:37:30.3514911Z inductor/test_coordinate_descent_tuner 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_coordinate_descent_tuner_1.1_c677cc99c697fdc4_.log
2025-03-14T04:37:30.3515964Z 
2025-03-14T04:37:30.3516905Z Running test_hop_infra 1/1 ... [2025-03-14 04:37:30.351537]
2025-03-14T04:37:30.3517368Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:37:30.3521159Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_hop_infra.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'] ... [2025-03-14 04:37:30.351875]
2025-03-14T04:37:34.4216949Z 
2025-03-14T04:37:34.4218137Z test_hop_infra 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_hop_infra_1.1_871a6b5569d74cbb_.log
2025-03-14T04:37:34.4218909Z Running 0 items in this shard:
2025-03-14T04:37:34.4219185Z 
2025-03-14T04:37:34.4220402Z Running dynamo/test_utils 1/1 ... [2025-03-14 04:37:34.421859]
2025-03-14T04:37:34.4221097Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:37:34.4224276Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_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'] ... [2025-03-14 04:37:34.422190]
2025-03-14T04:37:37.5954817Z 
2025-03-14T04:37:37.5955899Z dynamo/test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_utils_1.1_9370e7a3c09d4c8b_.log
2025-03-14T04:37:37.5956839Z 
2025-03-14T04:37:37.5958769Z Running backends/xeon/test_launch 1/1 ... [2025-03-14 04:37:37.595665]
2025-03-14T04:37:37.5959281Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:37:37.5962315Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:37:37.595990]
2025-03-14T04:37:41.0146184Z 
2025-03-14T04:37:41.0147384Z 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_b8db045eaf97f5ed_.log
2025-03-14T04:37:41.0148694Z Running 0 items in this shard:
2025-03-14T04:37:41.0148976Z 
2025-03-14T04:37:41.0150112Z Running inductor/test_flex_decoding 1/1 ... [2025-03-14 04:37:41.014780]
2025-03-14T04:37:41.0150628Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:37:41.0154054Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_flex_decoding.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'] ... [2025-03-14 04:37:41.015156]
2025-03-14T04:37:44.4349668Z 
2025-03-14T04:37:44.4351491Z inductor/test_flex_decoding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_decoding_1.1_f1a98f7744ceca95_.log
2025-03-14T04:37:44.4352675Z 
2025-03-14T04:37:44.4353999Z Running export/test_cpp_serdes 1/1 ... [2025-03-14 04:37:44.435212]
2025-03-14T04:37:44.4354695Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:37:44.4359938Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_cpp_serdes.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'] ... [2025-03-14 04:37:44.435665]
2025-03-14T04:37:51.1599069Z 
2025-03-14T04:37:51.1600255Z export/test_cpp_serdes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_cpp_serdes_1.1_2fe7d9f331dfdc81_.log
2025-03-14T04:37:51.1600976Z 
2025-03-14T04:37:51.1602158Z Running test_openmp 1/1 ... [2025-03-14 04:37:51.160065]
2025-03-14T04:37:51.1602715Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:37:51.1612801Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:37:51.160407]
2025-03-14T04:37:54.4789556Z 
2025-03-14T04:37:54.4790429Z test_openmp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_openmp_1.1_78e19be413f0745f_.log
2025-03-14T04:37:54.4791192Z Running 0 items in this shard:
2025-03-14T04:37:54.4791440Z 
2025-03-14T04:37:54.4792983Z Running test_ao_sparsity 1/1 ... [2025-03-14 04:37:54.479108]
2025-03-14T04:37:54.4793427Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:37:54.4796417Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_ao_sparsity.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'] ... [2025-03-14 04:37:54.479414]
2025-03-14T04:37:58.2985927Z 
2025-03-14T04:37:58.2986858Z test_ao_sparsity 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_ao_sparsity_1.1_5959bd28d9b70384_.log
2025-03-14T04:37:58.2987699Z Running 0 items in this shard:
2025-03-14T04:37:58.2987974Z 
2025-03-14T04:37:58.2989199Z Running test_foreach 1/1 ... [2025-03-14 04:37:58.298773]
2025-03-14T04:37:58.2989682Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:37:58.2992924Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_foreach.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'] ... [2025-03-14 04:37:58.299078]
2025-03-14T04:38:03.1695151Z 
2025-03-14T04:38:03.1696053Z test_foreach 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_foreach_1.1_456183a690ee939a_.log
2025-03-14T04:38:03.1696861Z Running 0 items in this shard:
2025-03-14T04:38:03.1697338Z 
2025-03-14T04:38:03.1699374Z Running dynamo/test_pre_dispatch 1/1 ... [2025-03-14 04:38:03.169688]
2025-03-14T04:38:03.1699907Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:38:03.1702890Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_pre_dispatch.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'] ... [2025-03-14 04:38:03.170018]
2025-03-14T04:38:06.3893560Z 
2025-03-14T04:38:06.3895024Z dynamo/test_pre_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_pre_dispatch_1.1_6af0fef7e56503d7_.log
2025-03-14T04:38:06.3895819Z 
2025-03-14T04:38:06.3897258Z Running inductor/test_codegen_triton 1/1 ... [2025-03-14 04:38:06.389516]
2025-03-14T04:38:06.3897927Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:38:06.3900674Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:38:06.389838]
2025-03-14T04:38:13.0705168Z 
2025-03-14T04:38:13.0706531Z 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_0fb319c032135294_.log
2025-03-14T04:38:13.0707862Z 
2025-03-14T04:38:13.0708063Z Running test_file_check 1/1 ... [2025-03-14 04:38:13.070571]
2025-03-14T04:38:13.0708536Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:38:13.0711469Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_file_check.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'] ... [2025-03-14 04:38:13.070881]
2025-03-14T04:38:16.5398673Z 
2025-03-14T04:38:16.5399852Z test_file_check 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_file_check_1.1_7ffc87734923090d_.log
2025-03-14T04:38:16.5400621Z Running 0 items in this shard:
2025-03-14T04:38:16.5400837Z 
2025-03-14T04:38:16.5401823Z Running inductor/test_config 1/1 ... [2025-03-14 04:38:16.540017]
2025-03-14T04:38:16.5402482Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:38:16.5405858Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/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'] ... [2025-03-14 04:38:16.540324]
2025-03-14T04:38:23.2065738Z 
2025-03-14T04:38:23.2066729Z inductor/test_config 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_config_1.1_2003325003f4d338_.log
2025-03-14T04:38:23.2067720Z 
2025-03-14T04:38:23.2070706Z Running inductor/test_foreach 1/1 ... [2025-03-14 04:38:23.206761]
2025-03-14T04:38:23.2071231Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:38:23.2073137Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_foreach.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'] ... [2025-03-14 04:38:23.207112]
2025-03-14T04:38:30.1127854Z 
2025-03-14T04:38:30.1128848Z inductor/test_foreach 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_foreach_1.1_7c2ed5ab4c992943_.log
2025-03-14T04:38:30.1129829Z 
2025-03-14T04:38:30.1131050Z Running test_flop_counter 1/1 ... [2025-03-14 04:38:30.112937]
2025-03-14T04:38:30.1131554Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:38:30.1134842Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_flop_counter.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'] ... [2025-03-14 04:38:30.113255]
2025-03-14T04:38:33.7323522Z 
2025-03-14T04:38:33.7324485Z test_flop_counter 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_flop_counter_1.1_067fc342db412ba9_.log
2025-03-14T04:38:33.7325340Z Running 0 items in this shard:
2025-03-14T04:38:33.7325617Z 
2025-03-14T04:38:33.7327117Z Running inductor/test_aot_inductor 1/1 ... [2025-03-14 04:38:33.732546]
2025-03-14T04:38:33.7327603Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:38:33.7330840Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_aot_inductor.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'] ... [2025-03-14 04:38:33.732868]
2025-03-14T04:38:40.7399279Z 
2025-03-14T04:38:40.7400459Z inductor/test_aot_inductor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_1.1_c36df342da4189fc_.log
2025-03-14T04:38:40.7401240Z 
2025-03-14T04:38:40.7402800Z Running profiler/test_kineto 1/1 ... [2025-03-14 04:38:40.740101]
2025-03-14T04:38:40.7403269Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:38:40.7406590Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'profiler/test_kineto.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'] ... [2025-03-14 04:38:40.740434]
2025-03-14T04:38:44.1592323Z 
2025-03-14T04:38:44.1593280Z profiler/test_kineto 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_kineto_1.1_407446cb579cde08_.log
2025-03-14T04:38:44.1594116Z Running 0 items in this shard:
2025-03-14T04:38:44.1594334Z 
2025-03-14T04:38:44.1596308Z Running test_proxy_tensor 1/2 ... [2025-03-14 04:38:44.159466]
2025-03-14T04:38:44.1596761Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:38:44.1600386Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_proxy_tensor.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'] ... [2025-03-14 04:38:44.159829]
2025-03-14T04:38:49.2808287Z 
2025-03-14T04:38:49.2809223Z test_proxy_tensor 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_proxy_tensor_1.2_e093872741cd3841_.log
2025-03-14T04:38:49.2810041Z Running 0 items in this shard:
2025-03-14T04:38:49.2810466Z 
2025-03-14T04:38:49.2812058Z Running dynamo/test_pgo 1/1 ... [2025-03-14 04:38:49.281028]
2025-03-14T04:38:49.2812543Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:38:49.2815954Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_pgo.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'] ... [2025-03-14 04:38:49.281366]
2025-03-14T04:38:52.5769224Z 
2025-03-14T04:38:52.5770512Z dynamo/test_pgo 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_pgo_1.1_525b31fd62289820_.log
2025-03-14T04:38:52.5771589Z 
2025-03-14T04:38:52.5772040Z Running inductor/test_aot_inductor_custom_ops 1/1 ... [2025-03-14 04:38:52.576934]
2025-03-14T04:38:52.5772869Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:38:52.5777074Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_aot_inductor_custom_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'] ... [2025-03-14 04:38:52.577345]
2025-03-14T04:38:59.5282024Z 
2025-03-14T04:38:59.5283387Z inductor/test_aot_inductor_custom_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_custom_ops_1.1_72d47ac13675b0fe_.log
2025-03-14T04:38:59.5284333Z 
2025-03-14T04:38:59.5284980Z Running inductor/test_kernel_benchmark 1/1 ... [2025-03-14 04:38:59.528328]
2025-03-14T04:38:59.5285547Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:38:59.5288611Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:38:59.528626]
2025-03-14T04:39:06.2231687Z 
2025-03-14T04:39:06.2232789Z 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_0fa47e5129683e14_.log
2025-03-14T04:39:06.2233655Z 
2025-03-14T04:39:06.2234485Z Running inductor/test_aot_inductor_utils 1/1 ... [2025-03-14 04:39:06.223305]
2025-03-14T04:39:06.2235072Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:39:06.2238830Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:39:06.223619]
2025-03-14T04:39:12.8873727Z 
2025-03-14T04:39:12.8874879Z 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_6652c64f1b623f4d_.log
2025-03-14T04:39:12.8875869Z 
2025-03-14T04:39:12.8877292Z Running inductor/test_cpu_cpp_wrapper 1/1 ... [2025-03-14 04:39:12.887563]
2025-03-14T04:39:12.8877848Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:39:12.8881577Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:39:12.887923]
2025-03-14T04:39:20.3034363Z 
2025-03-14T04:39:20.3035827Z 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_b626e981eddaad29_.log
2025-03-14T04:39:20.3036655Z 
2025-03-14T04:39:20.3038129Z Running dynamo/test_config 1/1 ... [2025-03-14 04:39:20.303611]
2025-03-14T04:39:20.3038798Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:39:20.3042213Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:39:20.303936]
2025-03-14T04:39:23.5292439Z 
2025-03-14T04:39:23.5293617Z dynamo/test_config 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_config_1.1_381547f65c197797_.log
2025-03-14T04:39:23.5294401Z 
2025-03-14T04:39:23.5294640Z Running inductor/test_multi_kernel 1/1 ... [2025-03-14 04:39:23.529258]
2025-03-14T04:39:23.5295115Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:39:23.5298273Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_multi_kernel.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'] ... [2025-03-14 04:39:23.529611]
2025-03-14T04:39:30.1458923Z 
2025-03-14T04:39:30.1460597Z inductor/test_multi_kernel 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_multi_kernel_1.1_72813a563e067fd3_.log
2025-03-14T04:39:30.1461424Z 
2025-03-14T04:39:30.1463961Z Running test_jiterator 1/1 ... [2025-03-14 04:39:30.146146]
2025-03-14T04:39:30.1464479Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:39:30.1468422Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_jiterator.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'] ... [2025-03-14 04:39:30.146553]
2025-03-14T04:39:33.4351416Z 
2025-03-14T04:39:33.4352312Z test_jiterator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jiterator_1.1_94c946aecaf12ed2_.log
2025-03-14T04:39:33.4353082Z Running 0 items in this shard:
2025-03-14T04:39:33.4353299Z 
2025-03-14T04:39:33.4354782Z Running inductor/test_decompose_mem_bound_mm 1/1 ... [2025-03-14 04:39:33.435296]
2025-03-14T04:39:33.4356115Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:39:33.4358442Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_decompose_mem_bound_mm.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'] ... [2025-03-14 04:39:33.435607]
2025-03-14T04:39:40.0267716Z 
2025-03-14T04:39:40.0268821Z inductor/test_decompose_mem_bound_mm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_decompose_mem_bound_mm_1.1_e381a467feb532bd_.log
2025-03-14T04:39:40.0269657Z 
2025-03-14T04:39:40.0271197Z Running inductor/test_pattern_matcher 1/1 ... [2025-03-14 04:39:40.026930]
2025-03-14T04:39:40.0271699Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:39:40.0274532Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_pattern_matcher.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'] ... [2025-03-14 04:39:40.027241]
2025-03-14T04:39:46.7098246Z 
2025-03-14T04:39:46.7099297Z inductor/test_pattern_matcher 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_pattern_matcher_1.1_5b60fa81e2c81ecd_.log
2025-03-14T04:39:46.7100098Z 
2025-03-14T04:39:46.7101213Z Running inductor/test_fp8 1/1 ... [2025-03-14 04:39:46.709972]
2025-03-14T04:39:46.7101662Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:39:46.7104924Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_fp8.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'] ... [2025-03-14 04:39:46.710290]
2025-03-14T04:39:53.2792118Z 
2025-03-14T04:39:53.2793394Z inductor/test_fp8 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_fp8_1.1_e3f3154a0549fb1e_.log
2025-03-14T04:39:53.2794109Z 
2025-03-14T04:39:53.2796026Z Running inductor/test_aot_inductor_package 1/1 ... [2025-03-14 04:39:53.279410]
2025-03-14T04:39:53.2796615Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:39:53.2799858Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_aot_inductor_package.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'] ... [2025-03-14 04:39:53.279752]
2025-03-14T04:39:59.9326648Z 
2025-03-14T04:39:59.9327795Z inductor/test_aot_inductor_package 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_package_1.1_70d1f364a3fe31f4_.log
2025-03-14T04:39:59.9328614Z 
2025-03-14T04:39:59.9329841Z Running inductor/test_cpu_select_algorithm 1/1 ... [2025-03-14 04:39:59.932810]
2025-03-14T04:39:59.9330589Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:39:59.9333466Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_cpu_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'] ... [2025-03-14 04:39:59.933121]
2025-03-14T04:40:07.2926946Z 
2025-03-14T04:40:07.2928891Z inductor/test_cpu_select_algorithm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_select_algorithm_1.1_7273892819a8d064_.log
2025-03-14T04:40:07.2930192Z 
2025-03-14T04:40:07.2931335Z Running dynamo/test_graph_region_tracker 1/1 ... [2025-03-14 04:40:07.292939]
2025-03-14T04:40:07.2932083Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:40:07.2937133Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_graph_region_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'] ... [2025-03-14 04:40:07.293381]
2025-03-14T04:40:10.6479619Z 
2025-03-14T04:40:10.6480718Z dynamo/test_graph_region_tracker 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_graph_region_tracker_1.1_ed4ea5a1c29a9ab6_.log
2025-03-14T04:40:10.6481541Z 
2025-03-14T04:40:10.6483219Z Running functorch/test_logging 1/1 ... [2025-03-14 04:40:10.648148]
2025-03-14T04:40:10.6483693Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:40:10.6487247Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_logging.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'] ... [2025-03-14 04:40:10.648499]
2025-03-14T04:40:14.0172248Z 
2025-03-14T04:40:14.0173748Z functorch/test_logging 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_logging_1.1_13d9a7910bda7532_.log
2025-03-14T04:40:14.0175194Z Running 0 items in this shard:
2025-03-14T04:40:14.0175495Z 
2025-03-14T04:40:14.0177066Z Running inductor/test_benchmarking 1/1 ... [2025-03-14 04:40:14.017519]
2025-03-14T04:40:14.0177805Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:40:14.0182731Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_benchmarking.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'] ... [2025-03-14 04:40:14.017941]
2025-03-14T04:40:20.6516643Z 
2025-03-14T04:40:20.6517722Z inductor/test_benchmarking 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_benchmarking_1.1_92ddb74924ed6ef4_.log
2025-03-14T04:40:20.6518488Z 
2025-03-14T04:40:20.6520015Z Running torch_np/test_dtype 1/1 ... [2025-03-14 04:40:20.651830]
2025-03-14T04:40:20.6520562Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:40:20.6523991Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/test_dtype.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'] ... [2025-03-14 04:40:20.652150]
2025-03-14T04:40:24.1209326Z 
2025-03-14T04:40:24.1210437Z torch_np/test_dtype 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_dtype_1.1_3ba5c4588f32498d_.log
2025-03-14T04:40:24.1211257Z Running 0 items in this shard:
2025-03-14T04:40:24.1211461Z 
2025-03-14T04:40:24.1213280Z Running dynamo/test_nops 1/1 ... [2025-03-14 04:40:24.121129]
2025-03-14T04:40:24.1213784Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:40:24.1216623Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_nops.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'] ... [2025-03-14 04:40:24.121459]
2025-03-14T04:40:27.3605920Z 
2025-03-14T04:40:27.3606996Z dynamo/test_nops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_nops_1.1_b28c1ad7a3ddae99_.log
2025-03-14T04:40:27.3607673Z 
2025-03-14T04:40:27.3609260Z Running inductor/test_block_analysis 1/1 ... [2025-03-14 04:40:27.360756]
2025-03-14T04:40:27.3610015Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:40:27.3612966Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:40:27.361090]
2025-03-14T04:40:34.3347085Z 
2025-03-14T04:40:34.3348179Z 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_2730ab5fbd52daeb_.log
2025-03-14T04:40:34.3349451Z Running 0 items in this shard:
2025-03-14T04:40:34.3349718Z 
2025-03-14T04:40:34.3350489Z Running dynamo/test_sources 1/1 ... [2025-03-14 04:40:34.334874]
2025-03-14T04:40:34.3350939Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:40:34.3354902Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_sources.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'] ... [2025-03-14 04:40:34.335257]
2025-03-14T04:40:37.6782823Z 
2025-03-14T04:40:37.6784086Z dynamo/test_sources 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_sources_1.1_9aa803c346d68bc4_.log
2025-03-14T04:40:37.6784794Z 
2025-03-14T04:40:37.6786425Z Running inductor/test_fuzzer 1/1 ... [2025-03-14 04:40:37.678467]
2025-03-14T04:40:37.6786962Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:40:37.6790375Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:40:37.678813]
2025-03-14T04:40:44.2501600Z 
2025-03-14T04:40:44.2502684Z inductor/test_fuzzer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_fuzzer_1.1_1fa7e5899fb1f52f_.log
2025-03-14T04:40:44.2503647Z 
2025-03-14T04:40:44.2505437Z Running dynamo/test_recompiles 1/1 ... [2025-03-14 04:40:44.250249]
2025-03-14T04:40:44.2505911Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:40:44.2507790Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_recompiles.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'] ... [2025-03-14 04:40:44.250580]
2025-03-14T04:40:47.5007307Z 
2025-03-14T04:40:47.5008864Z dynamo/test_recompiles 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_recompiles_1.1_342c54c3a6ee39c5_.log
2025-03-14T04:40:47.5009763Z 
2025-03-14T04:40:47.5010578Z Running test_namedtensor 1/1 ... [2025-03-14 04:40:47.500885]
2025-03-14T04:40:47.5011275Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:40:47.5014634Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_namedtensor.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'] ... [2025-03-14 04:40:47.501197]
2025-03-14T04:40:50.9198813Z 
2025-03-14T04:40:50.9199786Z test_namedtensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_namedtensor_1.1_1a188d00d99d69d0_.log
2025-03-14T04:40:50.9200554Z Running 0 items in this shard:
2025-03-14T04:40:50.9201125Z 
2025-03-14T04:40:50.9201914Z Running dynamo/test_optimizers 1/1 ... [2025-03-14 04:40:50.920033]
2025-03-14T04:40:50.9202363Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:40:50.9205916Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_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'] ... [2025-03-14 04:40:50.920346]
2025-03-14T04:40:54.2310664Z 
2025-03-14T04:40:54.2311686Z dynamo/test_optimizers 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_optimizers_1.1_72f58f21eb7f2038_.log
2025-03-14T04:40:54.2312475Z 
2025-03-14T04:40:54.2314575Z Running inductor/test_cuda_repro 1/1 ... [2025-03-14 04:40:54.231235]
2025-03-14T04:40:54.2315080Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:40:54.2318160Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:40:54.231562]
2025-03-14T04:41:00.9694691Z 
2025-03-14T04:41:00.9695774Z 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_3e59313f8504e332_.log
2025-03-14T04:41:00.9696575Z 
2025-03-14T04:41:00.9698158Z Running dynamo/test_modes 1/1 ... [2025-03-14 04:41:00.969642]
2025-03-14T04:41:00.9698609Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:41:00.9702134Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:41:00.969990]
2025-03-14T04:41:07.6796549Z 
2025-03-14T04:41:07.6797521Z dynamo/test_modes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_modes_1.1_8375ecbd853f42e7_.log
2025-03-14T04:41:07.6798206Z 
2025-03-14T04:41:07.6800051Z Running torch_np/numpy_tests/core/test_scalarinherit 1/1 ... [2025-03-14 04:41:07.679809]
2025-03-14T04:41:07.6800618Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:41:07.6803376Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalarinherit.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'] ... [2025-03-14 04:41:07.680115]
2025-03-14T04:41:11.0988730Z 
2025-03-14T04:41:11.0989964Z torch_np/numpy_tests/core/test_scalarinherit 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalarinherit_1.1_c3b288497c286416_.log
2025-03-14T04:41:11.0991012Z Running 0 items in this shard:
2025-03-14T04:41:11.0991265Z 
2025-03-14T04:41:11.0992506Z Running inductor/test_inplacing_pass 1/1 ... [2025-03-14 04:41:11.099079]
2025-03-14T04:41:11.0993004Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:41:11.0996535Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_inplacing_pass.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'] ... [2025-03-14 04:41:11.099418]
2025-03-14T04:41:17.7532413Z 
2025-03-14T04:41:17.7533481Z inductor/test_inplacing_pass 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_inplacing_pass_1.1_3fb3cb640c658433_.log
2025-03-14T04:41:17.7534259Z 
2025-03-14T04:41:17.7535326Z Running test_functionalization 1/1 ... [2025-03-14 04:41:17.753378]
2025-03-14T04:41:17.7535797Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:41:17.7539417Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_functionalization.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'] ... [2025-03-14 04:41:17.753711]
2025-03-14T04:41:21.1726220Z 
2025-03-14T04:41:21.1727649Z test_functionalization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functionalization_1.1_083f1e49c9a2fcb0_.log
2025-03-14T04:41:21.1729400Z Running 0 items in this shard:
2025-03-14T04:41:21.1729731Z 
2025-03-14T04:41:21.1730111Z Running inductor/test_triton_kernels 1/1 ... [2025-03-14 04:41:21.172730]
2025-03-14T04:41:21.1730862Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:41:21.1734822Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_triton_kernels.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'] ... [2025-03-14 04:41:21.173158]
2025-03-14T04:41:27.8123135Z 
2025-03-14T04:41:27.8124222Z inductor/test_triton_kernels 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_kernels_1.1_0d2ec776f4002159_.log
2025-03-14T04:41:27.8125111Z 
2025-03-14T04:41:27.8126220Z Running nn/test_multihead_attention 1/1 ... [2025-03-14 04:41:27.812456]
2025-03-14T04:41:27.8126703Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:41:27.8130474Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'nn/test_multihead_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'] ... [2025-03-14 04:41:27.812781]
2025-03-14T04:41:31.0313355Z 
2025-03-14T04:41:31.0314582Z nn/test_multihead_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_multihead_attention_1.1_5b0cff04d22dcf4c_.log
2025-03-14T04:41:31.0315618Z Running 0 items in this shard:
2025-03-14T04:41:31.0315877Z 
2025-03-14T04:41:31.0318077Z Running test_stateless 1/1 ... [2025-03-14 04:41:31.031609]
2025-03-14T04:41:31.0318506Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:41:31.0323185Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_stateless.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'] ... [2025-03-14 04:41:31.032008]
2025-03-14T04:41:34.5008654Z 
2025-03-14T04:41:34.5009629Z test_stateless 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_stateless_1.1_cdf226db1a3a47e2_.log
2025-03-14T04:41:34.5010489Z Running 0 items in this shard:
2025-03-14T04:41:34.5010719Z 
2025-03-14T04:41:34.5012259Z Running inductor/test_select_algorithm 1/1 ... [2025-03-14 04:41:34.501039]
2025-03-14T04:41:34.5012808Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:41:34.5016277Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:41:34.501359]
2025-03-14T04:41:41.1786597Z 
2025-03-14T04:41:41.1787835Z 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_a1c5604645edb2e9_.log
2025-03-14T04:41:41.1788660Z 
2025-03-14T04:41:41.1789701Z Running export/test_db 1/1 ... [2025-03-14 04:41:41.178803]
2025-03-14T04:41:41.1790189Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:41:41.1793564Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:41:41.179138]
2025-03-14T04:41:44.8482909Z 
2025-03-14T04:41:44.8484530Z export/test_db 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_db_1.1_9e37e01d1fdd4df5_.log
2025-03-14T04:41:44.8485484Z Running 0 items in this shard:
2025-03-14T04:41:44.8485706Z 
2025-03-14T04:41:44.8485905Z Running test_content_store 1/1 ... [2025-03-14 04:41:44.848366]
2025-03-14T04:41:44.8486344Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:41:44.8489058Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:41:44.848684]
2025-03-14T04:41:48.1673949Z 
2025-03-14T04:41:48.1674889Z test_content_store 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_content_store_1.1_cbfcc7039eb023a4_.log
2025-03-14T04:41:48.1675746Z Running 0 items in this shard:
2025-03-14T04:41:48.1675972Z 
2025-03-14T04:41:48.1677066Z Running inductor/test_async_compile 1/1 ... [2025-03-14 04:41:48.167544]
2025-03-14T04:41:48.1677549Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:41:48.1680905Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:41:48.167876]
2025-03-14T04:41:54.7638039Z 
2025-03-14T04:41:54.7639091Z 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_a9aed820d954f812_.log
2025-03-14T04:41:54.7639850Z 
2025-03-14T04:41:54.7641337Z Running test_expanded_weights 1/1 ... [2025-03-14 04:41:54.763960]
2025-03-14T04:41:54.7641797Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:41:54.7645079Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_expanded_weights.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'] ... [2025-03-14 04:41:54.764283]
2025-03-14T04:41:59.2845184Z 
2025-03-14T04:41:59.2846132Z test_expanded_weights 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_expanded_weights_1.1_5a018d3e6844d150_.log
2025-03-14T04:41:59.2846991Z Running 0 items in this shard:
2025-03-14T04:41:59.2847199Z 
2025-03-14T04:41:59.2848610Z Running inductor/test_custom_post_grad_passes 1/1 ... [2025-03-14 04:41:59.284679]
2025-03-14T04:41:59.2849141Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:41:59.2852062Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_custom_post_grad_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'] ... [2025-03-14 04:41:59.284978]
2025-03-14T04:42:06.0881100Z 
2025-03-14T04:42:06.0882469Z inductor/test_custom_post_grad_passes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_custom_post_grad_passes_1.1_0ba07f5da47b517f_.log
2025-03-14T04:42:06.0883374Z 
2025-03-14T04:42:06.0884669Z Running torch_np/test_basic 1/1 ... [2025-03-14 04:42:06.088280]
2025-03-14T04:42:06.0885175Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:42:06.0888210Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/test_basic.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'] ... [2025-03-14 04:42:06.088589]
2025-03-14T04:42:09.6073865Z 
2025-03-14T04:42:09.6074826Z torch_np/test_basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_basic_1.1_53cf0433be955f0e_.log
2025-03-14T04:42:09.6075729Z Running 0 items in this shard:
2025-03-14T04:42:09.6076216Z 
2025-03-14T04:42:09.6076879Z Running inductor/test_dependencies 1/1 ... [2025-03-14 04:42:09.607541]
2025-03-14T04:42:09.6077423Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:42:09.6080906Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_dependencies.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'] ... [2025-03-14 04:42:09.607863]
2025-03-14T04:42:16.3854856Z 
2025-03-14T04:42:16.3855922Z inductor/test_dependencies 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_dependencies_1.1_d824298fba09da23_.log
2025-03-14T04:42:16.3856762Z 
2025-03-14T04:42:16.3857813Z Running nn/test_packed_sequence 1/1 ... [2025-03-14 04:42:16.385629]
2025-03-14T04:42:16.3858280Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:42:16.3861838Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'nn/test_packed_sequence.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'] ... [2025-03-14 04:42:16.385962]
2025-03-14T04:42:19.8548682Z 
2025-03-14T04:42:19.8549965Z nn/test_packed_sequence 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_packed_sequence_1.1_091ee6bbf7ef69de_.log
2025-03-14T04:42:19.8550844Z Running 0 items in this shard:
2025-03-14T04:42:19.8551048Z 
2025-03-14T04:42:19.8552616Z Running dynamo/test_metrics_context 1/1 ... [2025-03-14 04:42:19.855080]
2025-03-14T04:42:19.8553282Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:42:19.8556769Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_metrics_context.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'] ... [2025-03-14 04:42:19.855412]
2025-03-14T04:42:23.1225529Z 
2025-03-14T04:42:23.1226874Z dynamo/test_metrics_context 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_metrics_context_1.1_90f65fa4529e76eb_.log
2025-03-14T04:42:23.1227699Z 
2025-03-14T04:42:23.1228639Z Running test_custom_ops 1/1 ... [2025-03-14 04:42:23.122698]
2025-03-14T04:42:23.1229300Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:42:23.1232411Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_custom_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'] ... [2025-03-14 04:42:23.123002]
2025-03-14T04:42:27.3428691Z 
2025-03-14T04:42:27.3429919Z test_custom_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_custom_ops_1.1_f9ca18c925702421_.log
2025-03-14T04:42:27.3430767Z Running 0 items in this shard:
2025-03-14T04:42:27.3431023Z 
2025-03-14T04:42:27.3432401Z Running xpu/test_conv 1/1 ... [2025-03-14 04:42:27.343019]
2025-03-14T04:42:27.3432855Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:42:27.3435704Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'xpu/test_conv.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'] ... [2025-03-14 04:42:27.343318]
2025-03-14T04:42:31.0707070Z 
2025-03-14T04:42:31.0708279Z xpu/test_conv 1/1 was successful, full logs can be found in artifacts with path test/test-reports/xpu.test_conv_1.1_034708b99329e1a3_.log
2025-03-14T04:42:31.0709026Z Running 0 items in this shard:
2025-03-14T04:42:31.0709281Z 
2025-03-14T04:42:31.0710336Z Running inductor/test_fused_attention 1/1 ... [2025-03-14 04:42:31.070849]
2025-03-14T04:42:31.0710993Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:42:31.0714274Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:42:31.071162]
2025-03-14T04:42:37.6156027Z 
2025-03-14T04:42:37.6157110Z 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_8055cf3cd4fa812a_.log
2025-03-14T04:42:37.6158119Z 
2025-03-14T04:42:37.6159662Z Running dynamo/test_global 1/1 ... [2025-03-14 04:42:37.615780]
2025-03-14T04:42:37.6160126Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:42:37.6163279Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_global.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'] ... [2025-03-14 04:42:37.616119]
2025-03-14T04:42:40.8688181Z 
2025-03-14T04:42:40.8689169Z dynamo/test_global 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_global_1.1_fa092b730716c86c_.log
2025-03-14T04:42:40.8690224Z 
2025-03-14T04:42:40.8690530Z Running torch_np/test_nep50_examples 1/1 ... [2025-03-14 04:42:40.868873]
2025-03-14T04:42:40.8691017Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:42:40.8694425Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/test_nep50_examples.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'] ... [2025-03-14 04:42:40.869202]
2025-03-14T04:42:44.3378814Z 
2025-03-14T04:42:44.3380149Z torch_np/test_nep50_examples 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_nep50_examples_1.1_e4ae5e7f03e3006e_.log
2025-03-14T04:42:44.3381099Z Running 0 items in this shard:
2025-03-14T04:42:44.3381310Z 
2025-03-14T04:42:44.3382290Z Running profiler/test_cpp_thread 1/1 ... [2025-03-14 04:42:44.338049]
2025-03-14T04:42:44.3382994Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:42:44.3386349Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'profiler/test_cpp_thread.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'] ... [2025-03-14 04:42:44.338373]
2025-03-14T04:42:48.7084434Z 
2025-03-14T04:42:48.7085749Z profiler/test_cpp_thread 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_cpp_thread_1.1_9998b99fbe9a109a_.log
2025-03-14T04:42:48.7086836Z Running 0 items in this shard:
2025-03-14T04:42:48.7087088Z 
2025-03-14T04:42:48.7087293Z Running test_hub 1/1 ... [2025-03-14 04:42:48.708528]
2025-03-14T04:42:48.7087696Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:42:48.7091001Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:42:48.708848]
2025-03-14T04:42:52.0216417Z 
2025-03-14T04:42:52.0217237Z test_hub 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_hub_1.1_0aa8e6cb1344c34d_.log
2025-03-14T04:42:52.0217836Z 
2025-03-14T04:42:52.0219497Z Running inductor/test_layout_optim 1/1 ... [2025-03-14 04:42:52.021769]
2025-03-14T04:42:52.0219987Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:42:52.0223431Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_layout_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'] ... [2025-03-14 04:42:52.022105]
2025-03-14T04:42:58.6382961Z 
2025-03-14T04:42:58.6383986Z inductor/test_layout_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_layout_optim_1.1_5e383eef3827dd8a_.log
2025-03-14T04:42:58.6385067Z 
2025-03-14T04:42:58.6386360Z Running export/test_torchbind 1/1 ... [2025-03-14 04:42:58.638451]
2025-03-14T04:42:58.6386830Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:42:58.6390310Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/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'] ... [2025-03-14 04:42:58.638791]
2025-03-14T04:43:02.1575834Z 
2025-03-14T04:43:02.1576961Z export/test_torchbind 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_torchbind_1.1_2bc7aea1fe3a5bcf_.log
2025-03-14T04:43:02.1577825Z Running 0 items in this shard:
2025-03-14T04:43:02.1578076Z 
2025-03-14T04:43:02.1579301Z Running dynamo/test_debug_utils 1/1 ... [2025-03-14 04:43:02.157748]
2025-03-14T04:43:02.1579994Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:43:02.1583067Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_debug_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'] ... [2025-03-14 04:43:02.158071]
2025-03-14T04:43:08.8884193Z 
2025-03-14T04:43:08.8885239Z dynamo/test_debug_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_debug_utils_1.1_6b9a9c9a0885ccac_.log
2025-03-14T04:43:08.8885981Z 
2025-03-14T04:43:08.8887525Z Running functorch/test_ac 1/1 ... [2025-03-14 04:43:08.888582]
2025-03-14T04:43:08.8887980Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:43:08.8891271Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_ac.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'] ... [2025-03-14 04:43:08.888909]
2025-03-14T04:43:15.5201187Z 
2025-03-14T04:43:15.5202121Z functorch/test_ac 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ac_1.1_953538e0d9444412_.log
2025-03-14T04:43:15.5202803Z 
2025-03-14T04:43:15.5205070Z Running functorch/test_minifier 1/1 ... [2025-03-14 04:43:15.520283]
2025-03-14T04:43:15.5205599Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:43:15.5208552Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:43:15.520626]
2025-03-14T04:43:18.8391990Z 
2025-03-14T04:43:18.8393044Z functorch/test_minifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_minifier_1.1_cbf987d142d01097_.log
2025-03-14T04:43:18.8393939Z Running 0 items in this shard:
2025-03-14T04:43:18.8394342Z 
2025-03-14T04:43:18.8395634Z Running dynamo/test_backends 1/1 ... [2025-03-14 04:43:18.839376]
2025-03-14T04:43:18.8396091Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:43:18.8399230Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_backends.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'] ... [2025-03-14 04:43:18.839698]
2025-03-14T04:43:25.4053562Z 
2025-03-14T04:43:25.4054850Z dynamo/test_backends 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_backends_1.1_b69670dd2c6fe643_.log
2025-03-14T04:43:25.4055644Z 
2025-03-14T04:43:25.4057082Z Running test_compile_benchmark_util 1/1 ... [2025-03-14 04:43:25.405490]
2025-03-14T04:43:25.4057746Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:43:25.4060949Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:43:25.405823]
2025-03-14T04:43:28.8246298Z 
2025-03-14T04:43:28.8247318Z 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_f2a265681cce79f9_.log
2025-03-14T04:43:28.8248208Z Running 0 items in this shard:
2025-03-14T04:43:28.8248524Z 
2025-03-14T04:43:28.8249717Z Running test_complex 1/1 ... [2025-03-14 04:43:28.824790]
2025-03-14T04:43:28.8250138Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:43:28.8253439Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_complex.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'] ... [2025-03-14 04:43:28.825108]
2025-03-14T04:43:32.1939033Z 
2025-03-14T04:43:32.1940316Z test_complex 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_complex_1.1_18106d99e4ef6595_.log
2025-03-14T04:43:32.1941060Z Running 0 items in this shard:
2025-03-14T04:43:32.1941264Z 
2025-03-14T04:43:32.1944345Z Running test_fx_experimental 1/1 ... [2025-03-14 04:43:32.194166]
2025-03-14T04:43:32.1944815Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:43:32.1947996Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_fx_experimental.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'] ... [2025-03-14 04:43:32.194580]
2025-03-14T04:43:36.9650809Z 
2025-03-14T04:43:36.9651908Z test_fx_experimental 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_experimental_1.1_5f8e65edb502466d_.log
2025-03-14T04:43:36.9652860Z Running 0 items in this shard:
2025-03-14T04:43:36.9653143Z 
2025-03-14T04:43:36.9654029Z Running functorch/test_ac_knapsack 1/1 ... [2025-03-14 04:43:36.965236]
2025-03-14T04:43:36.9654577Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:43:36.9657684Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_ac_knapsack.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'] ... [2025-03-14 04:43:36.965544]
2025-03-14T04:43:40.3343293Z 
2025-03-14T04:43:40.3344454Z functorch/test_ac_knapsack 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ac_knapsack_1.1_59ab195b1d647de2_.log
2025-03-14T04:43:40.3345376Z Running 0 items in this shard:
2025-03-14T04:43:40.3345692Z 
2025-03-14T04:43:40.3346925Z Running export/test_swap 1/1 ... [2025-03-14 04:43:40.334482]
2025-03-14T04:43:40.3347368Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:43:40.3350872Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_swap.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'] ... [2025-03-14 04:43:40.334824]
2025-03-14T04:43:43.8036861Z 
2025-03-14T04:43:43.8038123Z export/test_swap 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_swap_1.1_4eb99e25dc89218a_.log
2025-03-14T04:43:43.8038933Z Running 0 items in this shard:
2025-03-14T04:43:43.8039209Z 
2025-03-14T04:43:43.8040513Z Running dynamo/test_verify_correctness 1/1 ... [2025-03-14 04:43:43.803860]
2025-03-14T04:43:43.8041250Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:43:43.8044405Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:43:43.804172]
2025-03-14T04:43:46.9822555Z 
2025-03-14T04:43:46.9823860Z 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_78fb584afde7c3bd_.log
2025-03-14T04:43:46.9824648Z 
2025-03-14T04:43:46.9826070Z Running export/test_unflatten 1/1 ... [2025-03-14 04:43:46.982412]
2025-03-14T04:43:46.9826973Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:43:46.9829750Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:43:46.982716]
2025-03-14T04:43:50.3512949Z 
2025-03-14T04:43:50.3514182Z export/test_unflatten 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_unflatten_1.1_1e15b68fbedc99b6_.log
2025-03-14T04:43:50.3515403Z Running 0 items in this shard:
2025-03-14T04:43:50.3515702Z 
2025-03-14T04:43:50.3516333Z Running test_optim 1/1 ... [2025-03-14 04:43:50.351476]
2025-03-14T04:43:50.3516743Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:43:50.3520216Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', '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'] ... [2025-03-14 04:43:50.351800]
2025-03-14T04:43:54.8720376Z 
2025-03-14T04:43:54.8721254Z test_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_optim_1.1_94769494d8ff82d3_.log
2025-03-14T04:43:54.8721985Z Running 0 items in this shard:
2025-03-14T04:43:54.8722204Z 
2025-03-14T04:43:54.8724001Z Running test_fx_passes 1/1 ... [2025-03-14 04:43:54.872238]
2025-03-14T04:43:54.8724431Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:43:54.8728031Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_fx_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'] ... [2025-03-14 04:43:54.872570]
2025-03-14T04:43:58.2413133Z 
2025-03-14T04:43:58.2414053Z test_fx_passes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_passes_1.1_0a4de704dad7df86_.log
2025-03-14T04:43:58.2414824Z Running 0 items in this shard:
2025-03-14T04:43:58.2415028Z 
2025-03-14T04:43:58.2416953Z Running inductor/test_mkldnn_pattern_matcher 1/1 ... [2025-03-14 04:43:58.241508]
2025-03-14T04:43:58.2417501Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:43:58.2421176Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_mkldnn_pattern_matcher.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'] ... [2025-03-14 04:43:58.241825]
2025-03-14T04:44:05.2849889Z 
2025-03-14T04:44:05.2851353Z inductor/test_mkldnn_pattern_matcher 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mkldnn_pattern_matcher_1.1_9b6f542249cc9116_.log
2025-03-14T04:44:05.2852430Z 
2025-03-14T04:44:05.2853161Z Running inductor/test_mmdecomp 1/1 ... [2025-03-14 04:44:05.285138]
2025-03-14T04:44:05.2853857Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:44:05.2856967Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_mmdecomp.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'] ... [2025-03-14 04:44:05.285459]
2025-03-14T04:44:12.2089858Z 
2025-03-14T04:44:12.2091251Z inductor/test_mmdecomp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mmdecomp_1.1_e8e61b3c0fa1efd4_.log
2025-03-14T04:44:12.2092527Z Running 0 items in this shard:
2025-03-14T04:44:12.2092734Z 
2025-03-14T04:44:12.2093421Z Running inductor/test_cudagraph_trees_expandable_segments 1/1 ... [2025-03-14 04:44:12.209134]
2025-03-14T04:44:12.2094140Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:44:12.2097431Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:44:12.209459]
2025-03-14T04:44:18.9365633Z 
2025-03-14T04:44:18.9367032Z 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_780b8d4d66751cd6_.log
2025-03-14T04:44:18.9368198Z 
2025-03-14T04:44:18.9368927Z Running dynamo/test_dicts 1/1 ... [2025-03-14 04:44:18.936724]
2025-03-14T04:44:18.9369665Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:44:18.9372730Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_dicts.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'] ... [2025-03-14 04:44:18.937045]
2025-03-14T04:44:22.1918633Z 
2025-03-14T04:44:22.1919846Z dynamo/test_dicts 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_dicts_1.1_398aa7be95ce5837_.log
2025-03-14T04:44:22.1920524Z 
2025-03-14T04:44:22.1922211Z Running test_legacy_vmap 1/1 ... [2025-03-14 04:44:22.192011]
2025-03-14T04:44:22.1922680Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:44:22.1925550Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_legacy_vmap.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'] ... [2025-03-14 04:44:22.192330]
2025-03-14T04:44:25.5108790Z 
2025-03-14T04:44:25.5109812Z test_legacy_vmap 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_legacy_vmap_1.1_9f80f508791601e0_.log
2025-03-14T04:44:25.5110621Z Running 0 items in this shard:
2025-03-14T04:44:25.5110898Z 
2025-03-14T04:44:25.5112167Z Running test_cuda_sanitizer 1/1 ... [2025-03-14 04:44:25.511024]
2025-03-14T04:44:25.5112634Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:44:25.5115682Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_cuda_sanitizer.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'] ... [2025-03-14 04:44:25.511348]
2025-03-14T04:44:28.8754408Z 
2025-03-14T04:44:28.8755294Z test_cuda_sanitizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_sanitizer_1.1_f424fe8ae8f419f2_.log
2025-03-14T04:44:28.8756294Z Running 0 items in this shard:
2025-03-14T04:44:28.8756517Z 
2025-03-14T04:44:28.8757787Z Running test_pytree 1/1 ... [2025-03-14 04:44:28.875635]
2025-03-14T04:44:28.8758277Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:44:28.8761663Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_pytree.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'] ... [2025-03-14 04:44:28.875954]
2025-03-14T04:44:32.2947997Z 
2025-03-14T04:44:32.2948951Z test_pytree 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_pytree_1.1_adbf40ccf0506736_.log
2025-03-14T04:44:32.2949726Z Running 0 items in this shard:
2025-03-14T04:44:32.2950014Z 
2025-03-14T04:44:32.2950877Z Running export/test_passes 1/1 ... [2025-03-14 04:44:32.294945]
2025-03-14T04:44:32.2951326Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:44:32.2954813Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:44:32.295273]
2025-03-14T04:44:36.2147185Z 
2025-03-14T04:44:36.2148643Z export/test_passes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_passes_1.1_617d640718b552a2_.log
2025-03-14T04:44:36.2149516Z Running 0 items in this shard:
2025-03-14T04:44:36.2149769Z 
2025-03-14T04:44:36.2150528Z Running dynamo/test_aot_autograd 1/1 ... [2025-03-14 04:44:36.214869]
2025-03-14T04:44:36.2151261Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:44:36.2154553Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_aot_autograd.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'] ... [2025-03-14 04:44:36.215205]
2025-03-14T04:44:39.4616960Z 
2025-03-14T04:44:39.4618253Z dynamo/test_aot_autograd 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_aot_autograd_1.1_5a4643c5cb160a03_.log
2025-03-14T04:44:39.4619075Z 
2025-03-14T04:44:39.4620023Z Running export/test_converter 1/1 ... [2025-03-14 04:44:39.461832]
2025-03-14T04:44:39.4620512Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:44:39.4623611Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_converter.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'] ... [2025-03-14 04:44:39.462156]
2025-03-14T04:44:42.8808066Z 
2025-03-14T04:44:42.8809027Z export/test_converter 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_converter_1.1_faa83c07d0834cb9_.log
2025-03-14T04:44:42.8809909Z Running 0 items in this shard:
2025-03-14T04:44:42.8810133Z 
2025-03-14T04:44:42.8811923Z Running inductor/test_efficient_conv_bn_eval 1/1 ... [2025-03-14 04:44:42.881012]
2025-03-14T04:44:42.8812504Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:44:42.8815560Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_efficient_conv_bn_eval.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'] ... [2025-03-14 04:44:42.881329]
2025-03-14T04:44:49.8108259Z 
2025-03-14T04:44:49.8109374Z inductor/test_efficient_conv_bn_eval 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_efficient_conv_bn_eval_1.1_5146762582ac4bf1_.log
2025-03-14T04:44:49.8110246Z 
2025-03-14T04:44:49.8111851Z Running test_autograd 1/1 ... [2025-03-14 04:44:49.810977]
2025-03-14T04:44:49.8112314Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:44:49.8115424Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_autograd.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'] ... [2025-03-14 04:44:49.811289]
2025-03-14T04:44:54.4315663Z 
2025-03-14T04:44:54.4316654Z test_autograd 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autograd_1.1_c46df42e3d0fd4cf_.log
2025-03-14T04:44:54.4317422Z Running 0 items in this shard:
2025-03-14T04:44:54.4317624Z 
2025-03-14T04:44:54.4319319Z Running test_functional_optim 1/1 ... [2025-03-14 04:44:54.431779]
2025-03-14T04:44:54.4319774Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:44:54.4323122Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_functional_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'] ... [2025-03-14 04:44:54.432108]
2025-03-14T04:44:58.0511206Z 
2025-03-14T04:44:58.0512293Z test_functional_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functional_optim_1.1_de501db7094d101e_.log
2025-03-14T04:44:58.0513131Z Running 0 items in this shard:
2025-03-14T04:44:58.0513338Z 
2025-03-14T04:44:58.0514931Z Running dynamo/test_resume 1/1 ... [2025-03-14 04:44:58.051335]
2025-03-14T04:44:58.0515645Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:44:58.0519074Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_resume.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'] ... [2025-03-14 04:44:58.051674]
2025-03-14T04:45:01.3669673Z 
2025-03-14T04:45:01.3671099Z dynamo/test_resume 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_resume_1.1_5990cef3f24deb92_.log
2025-03-14T04:45:01.3672423Z 
2025-03-14T04:45:01.3674093Z Running dynamo/test_recompile_ux 1/1 ... [2025-03-14 04:45:01.367211]
2025-03-14T04:45:01.3674825Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:45:01.3679649Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:45:01.367644]
2025-03-14T04:45:04.6596005Z 
2025-03-14T04:45:04.6597461Z 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_8af23d9108215e7f_.log
2025-03-14T04:45:04.6598701Z 
2025-03-14T04:45:04.6600540Z Running nn/test_lazy_modules 1/1 ... [2025-03-14 04:45:04.659863]
2025-03-14T04:45:04.6601221Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:45:04.6605858Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:45:04.660271]
2025-03-14T04:45:08.2294668Z 
2025-03-14T04:45:08.2295637Z 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_20f232f5690a65b5_.log
2025-03-14T04:45:08.2296468Z Running 0 items in this shard:
2025-03-14T04:45:08.2296672Z 
2025-03-14T04:45:08.2298391Z Running inductor/test_codecache 1/1 ... [2025-03-14 04:45:08.229652]
2025-03-14T04:45:08.2298917Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:45:08.2302132Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_codecache.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'] ... [2025-03-14 04:45:08.229989]
2025-03-14T04:45:14.9825274Z 
2025-03-14T04:45:14.9826581Z inductor/test_codecache 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_codecache_1.1_1e313dce9fd713be_.log
2025-03-14T04:45:14.9827430Z 
2025-03-14T04:45:14.9828122Z Running test_numba_integration 1/1 ... [2025-03-14 04:45:14.982651]
2025-03-14T04:45:14.9828681Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:45:14.9831579Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:45:14.982943]
2025-03-14T04:45:18.4517666Z 
2025-03-14T04:45:18.4519047Z test_numba_integration 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_numba_integration_1.1_02e8834579418d4b_.log
2025-03-14T04:45:18.4519888Z Running 0 items in this shard:
2025-03-14T04:45:18.4520333Z 
2025-03-14T04:45:18.4520660Z Running test_decomp 1/1 ... [2025-03-14 04:45:18.451914]
2025-03-14T04:45:18.4521387Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:45:18.4524635Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_decomp.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'] ... [2025-03-14 04:45:18.452219]
2025-03-14T04:45:24.4242756Z 
2025-03-14T04:45:24.4243668Z test_decomp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_1.1_13528c6072d913da_.log
2025-03-14T04:45:24.4244404Z Running 0 items in this shard:
2025-03-14T04:45:24.4244610Z 
2025-03-14T04:45:24.4246617Z Running inductor/test_unbacked_symints 1/1 ... [2025-03-14 04:45:24.424484]
2025-03-14T04:45:24.4247181Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:45:24.4250524Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:45:24.424827]
2025-03-14T04:45:31.0213308Z 
2025-03-14T04:45:31.0214620Z 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_56e84e4834ae2a65_.log
2025-03-14T04:45:31.0215439Z 
2025-03-14T04:45:31.0216730Z Running test_itt 1/1 ... [2025-03-14 04:45:31.021490]
2025-03-14T04:45:31.0217402Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:45:31.0220441Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_itt.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'] ... [2025-03-14 04:45:31.021797]
2025-03-14T04:45:34.3402903Z 
2025-03-14T04:45:34.3413412Z test_itt 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_itt_1.1_6dfedfc82c28894b_.log
2025-03-14T04:45:34.3414146Z Running 0 items in this shard:
2025-03-14T04:45:34.3414363Z 
2025-03-14T04:45:34.3414636Z Running torch_np/numpy_tests/core/test_einsum 1/1 ... [2025-03-14 04:45:34.340473]
2025-03-14T04:45:34.3415163Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:45:34.3416380Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:45:34.340814]
2025-03-14T04:45:37.7605705Z 
2025-03-14T04:45:37.7607140Z 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_84bbf9c90038614b_.log
2025-03-14T04:45:37.7608189Z Running 0 items in this shard:
2025-03-14T04:45:37.7608496Z 
2025-03-14T04:45:37.7609843Z Running higher_order_ops/test_with_effects 1/1 ... [2025-03-14 04:45:37.760708]
2025-03-14T04:45:37.7610387Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:45:37.7612757Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'higher_order_ops/test_with_effects.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'] ... [2025-03-14 04:45:37.761038]
2025-03-14T04:45:41.5804818Z 
2025-03-14T04:45:41.5806255Z higher_order_ops/test_with_effects 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_with_effects_1.1_dc76f05ab8feaae7_.log
2025-03-14T04:45:41.5807194Z Running 0 items in this shard:
2025-03-14T04:45:41.5807399Z 
2025-03-14T04:45:41.5808684Z Running higher_order_ops/test_invoke_quant 1/1 ... [2025-03-14 04:45:41.580679]
2025-03-14T04:45:41.5809195Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:45:41.5812361Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:45:41.580992]
2025-03-14T04:45:48.4050812Z 
2025-03-14T04:45:48.4052249Z 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_12d206ccd4e7f2df_.log
2025-03-14T04:45:48.4053341Z Running 0 items in this shard:
2025-03-14T04:45:48.4053564Z 
2025-03-14T04:45:48.4054134Z Running dynamo/test_higher_order_ops 1/1 ... [2025-03-14 04:45:48.405254]
2025-03-14T04:45:48.4054625Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:45:48.4057882Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_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'] ... [2025-03-14 04:45:48.405570]
2025-03-14T04:45:55.8985049Z 
2025-03-14T04:45:55.8986137Z dynamo/test_higher_order_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_higher_order_ops_1.1_e2375ba501e56d63_.log
2025-03-14T04:45:55.8988287Z 
2025-03-14T04:45:55.8988714Z Running torch_np/test_random 1/1 ... [2025-03-14 04:45:55.898682]
2025-03-14T04:45:55.8989197Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:45:55.8992243Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/test_random.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'] ... [2025-03-14 04:45:55.899004]
2025-03-14T04:45:59.3680898Z 
2025-03-14T04:45:59.3682192Z torch_np/test_random 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_random_1.1_bab9946a71080496_.log
2025-03-14T04:45:59.3683027Z Running 0 items in this shard:
2025-03-14T04:45:59.3683397Z 
2025-03-14T04:45:59.3684727Z Running test_bundled_inputs 1/1 ... [2025-03-14 04:45:59.368264]
2025-03-14T04:45:59.3685439Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:45:59.3688471Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_bundled_inputs.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'] ... [2025-03-14 04:45:59.368594]
2025-03-14T04:46:02.7876820Z 
2025-03-14T04:46:02.7878015Z test_bundled_inputs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_bundled_inputs_1.1_71530433e5ff369c_.log
2025-03-14T04:46:02.7878850Z Running 0 items in this shard:
2025-03-14T04:46:02.7879211Z 
2025-03-14T04:46:02.7879629Z Running test_ops_fwd_gradients 1/2 ... [2025-03-14 04:46:02.787754]
2025-03-14T04:46:02.7880316Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:46:02.7883358Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_ops_fwd_gradients.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'] ... [2025-03-14 04:46:02.788072]
2025-03-14T04:46:07.6088962Z 
2025-03-14T04:46:07.6090219Z test_ops_fwd_gradients 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_fwd_gradients_1.2_7e24c1e9b1edb916_.log
2025-03-14T04:46:07.6091124Z Running 0 items in this shard:
2025-03-14T04:46:07.6091330Z 
2025-03-14T04:46:07.6091555Z Running lazy/test_meta_kernel 1/1 ... [2025-03-14 04:46:07.608848]
2025-03-14T04:46:07.6092003Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:46:07.6094573Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'lazy/test_meta_kernel.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'] ... [2025-03-14 04:46:07.609218]
2025-03-14T04:46:10.8304843Z 
2025-03-14T04:46:10.8305812Z lazy/test_meta_kernel 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_meta_kernel_1.1_f9bf8e49fea5c6c8_.log
2025-03-14T04:46:10.8306527Z 
2025-03-14T04:46:10.8308288Z Running test_ops_jit 2/2 ... [2025-03-14 04:46:10.830646]
2025-03-14T04:46:10.8308738Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:46:10.8311797Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_ops_jit.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'] ... [2025-03-14 04:46:10.830978]
2025-03-14T04:46:15.3012033Z 
2025-03-14T04:46:15.3013300Z test_ops_jit 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_jit_2.2_ad2e5a5e75b92102_.log
2025-03-14T04:46:15.3014757Z Running 0 items in this shard:
2025-03-14T04:46:15.3015079Z 
2025-03-14T04:46:15.3016487Z Running test_out_dtype_op 1/1 ... [2025-03-14 04:46:15.301465]
2025-03-14T04:46:15.3017134Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:46:15.3022011Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:46:15.301889]
2025-03-14T04:46:19.1213956Z 
2025-03-14T04:46:19.1215078Z 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_94aeee26a518e68f_.log
2025-03-14T04:46:19.1215848Z Running 0 items in this shard:
2025-03-14T04:46:19.1216070Z 
2025-03-14T04:46:19.1217614Z Running dynamo/test_input_attr_tracking 1/1 ... [2025-03-14 04:46:19.121575]
2025-03-14T04:46:19.1218307Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:46:19.1221496Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_input_attr_tracking.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'] ... [2025-03-14 04:46:19.121905]
2025-03-14T04:46:22.3518288Z 
2025-03-14T04:46:22.3519635Z dynamo/test_input_attr_tracking 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_input_attr_tracking_1.1_5b2e72b9f3602150_.log
2025-03-14T04:46:22.3520438Z 
2025-03-14T04:46:22.3521584Z Running nn/test_pruning 1/1 ... [2025-03-14 04:46:22.351980]
2025-03-14T04:46:22.3522250Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:46:22.3525612Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'nn/test_pruning.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'] ... [2025-03-14 04:46:22.352307]
2025-03-14T04:46:25.7208214Z 
2025-03-14T04:46:25.7209410Z nn/test_pruning 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_pruning_1.1_72292ed406872bf2_.log
2025-03-14T04:46:25.7210186Z Running 0 items in this shard:
2025-03-14T04:46:25.7210388Z 
2025-03-14T04:46:25.7211908Z Running export/test_hop 1/1 ... [2025-03-14 04:46:25.721010]
2025-03-14T04:46:25.7212544Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:46:25.7215805Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_hop.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'] ... [2025-03-14 04:46:25.721336]
2025-03-14T04:46:29.6908021Z 
2025-03-14T04:46:29.6910795Z export/test_hop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_hop_1.1_709dd8427cc88db2_.log
2025-03-14T04:46:29.6911848Z Running 0 items in this shard:
2025-03-14T04:46:29.6912063Z 
2025-03-14T04:46:29.6912256Z Running test_numpy_interop 1/1 ... [2025-03-14 04:46:29.690997]
2025-03-14T04:46:29.6912694Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:46:29.6915404Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_numpy_interop.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'] ... [2025-03-14 04:46:29.691330]
2025-03-14T04:46:33.0601377Z 
2025-03-14T04:46:33.0602398Z test_numpy_interop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_numpy_interop_1.1_5ef540f7db86d071_.log
2025-03-14T04:46:33.0603193Z Running 0 items in this shard:
2025-03-14T04:46:33.0603396Z 
2025-03-14T04:46:33.0605028Z Running export/test_experimental 1/1 ... [2025-03-14 04:46:33.060325]
2025-03-14T04:46:33.0605790Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:46:33.0608618Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_experimental.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'] ... [2025-03-14 04:46:33.060638]
2025-03-14T04:46:36.2849668Z 
2025-03-14T04:46:36.2850710Z export/test_experimental 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_experimental_1.1_478b3555752fccae_.log
2025-03-14T04:46:36.2851493Z 
2025-03-14T04:46:36.2852807Z Running test_monitor 1/1 ... [2025-03-14 04:46:36.285115]
2025-03-14T04:46:36.2853288Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:46:36.2856210Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:46:36.285414]
2025-03-14T04:46:39.6541296Z 
2025-03-14T04:46:39.6542595Z test_monitor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_monitor_1.1_da35378a2214d8f2_.log
2025-03-14T04:46:39.6543813Z Running 0 items in this shard:
2025-03-14T04:46:39.6544109Z 
2025-03-14T04:46:39.6545611Z Running dynamo/test_exc 1/1 ... [2025-03-14 04:46:39.654375]
2025-03-14T04:46:39.6552206Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:46:39.6553444Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_exc.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'] ... [2025-03-14 04:46:39.654765]
2025-03-14T04:46:42.8981717Z 
2025-03-14T04:46:42.8982636Z dynamo/test_exc 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_exc_1.1_9fcb726146682c01_.log
2025-03-14T04:46:42.8983345Z 
2025-03-14T04:46:42.8985312Z Running test_binary_ufuncs 1/1 ... [2025-03-14 04:46:42.898341]
2025-03-14T04:46:42.8985773Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:46:42.8988681Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_binary_ufuncs.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'] ... [2025-03-14 04:46:42.898660]
2025-03-14T04:46:49.2712933Z 
2025-03-14T04:46:49.2713860Z test_binary_ufuncs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_binary_ufuncs_1.1_bfa265da19fc2855_.log
2025-03-14T04:46:49.2714670Z Running 0 items in this shard:
2025-03-14T04:46:49.2714966Z 
2025-03-14T04:46:49.2716222Z Running export/test_schema 1/1 ... [2025-03-14 04:46:49.271434]
2025-03-14T04:46:49.2716675Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:46:49.2719852Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:46:49.271770]
2025-03-14T04:46:52.6905251Z 
2025-03-14T04:46:52.6906471Z export/test_schema 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_schema_1.1_4c18dcbfe937bb53_.log
2025-03-14T04:46:52.6907514Z Running 0 items in this shard:
2025-03-14T04:46:52.6907723Z 
2025-03-14T04:46:52.6908962Z Running export/test_export 1/1 ... [2025-03-14 04:46:52.690716]
2025-03-14T04:46:52.6909410Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:46:52.6912307Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_export.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'] ... [2025-03-14 04:46:52.691032]
2025-03-14T04:46:59.6645151Z 
2025-03-14T04:46:59.6646190Z export/test_export 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_export_1.1_576d4e32476a9b4a_.log
2025-03-14T04:46:59.6647000Z Running 0 items in this shard:
2025-03-14T04:46:59.6647221Z 
2025-03-14T04:46:59.6648877Z Running test_fx_reinplace_pass 1/1 ... [2025-03-14 04:46:59.664722]
2025-03-14T04:46:59.6649344Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:46:59.6652554Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_fx_reinplace_pass.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'] ... [2025-03-14 04:46:59.665042]
2025-03-14T04:47:03.1841148Z 
2025-03-14T04:47:03.1842123Z test_fx_reinplace_pass 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_reinplace_pass_1.1_c729f09ac79a05ea_.log
2025-03-14T04:47:03.1842965Z Running 0 items in this shard:
2025-03-14T04:47:03.1843227Z 
2025-03-14T04:47:03.1845126Z Running dynamo/test_hooks 1/1 ... [2025-03-14 04:47:03.184314]
2025-03-14T04:47:03.1845596Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:47:03.1848918Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_hooks.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'] ... [2025-03-14 04:47:03.184644]
2025-03-14T04:47:06.5019314Z 
2025-03-14T04:47:06.5020300Z dynamo/test_hooks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_hooks_1.1_73245e35687f3f1a_.log
2025-03-14T04:47:06.5020975Z 
2025-03-14T04:47:06.5022895Z Running distributions/test_constraints 1/1 ... [2025-03-14 04:47:06.502082]
2025-03-14T04:47:06.5023636Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:47:06.5026821Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'distributions/test_constraints.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'] ... [2025-03-14 04:47:06.502414]
2025-03-14T04:47:10.0716570Z 
2025-03-14T04:47:10.0717680Z distributions/test_constraints 1/1 was successful, full logs can be found in artifacts with path test/test-reports/distributions.test_constraints_1.1_96d4221e2fdbf2d2_.log
2025-03-14T04:47:10.0718628Z Running 0 items in this shard:
2025-03-14T04:47:10.0718848Z 
2025-03-14T04:47:10.0719899Z Running test_futures 1/1 ... [2025-03-14 04:47:10.071815]
2025-03-14T04:47:10.0720316Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:47:10.0723631Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_futures.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'] ... [2025-03-14 04:47:10.072147]
2025-03-14T04:47:13.4408709Z 
2025-03-14T04:47:13.4409618Z test_futures 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_futures_1.1_39f5fd9d85b0dec1_.log
2025-03-14T04:47:13.4410372Z Running 0 items in this shard:
2025-03-14T04:47:13.4410591Z 
2025-03-14T04:47:13.4412114Z Running test_per_overload_api 1/1 ... [2025-03-14 04:47:13.441044]
2025-03-14T04:47:13.4412577Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:47:13.4415909Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_per_overload_api.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'] ... [2025-03-14 04:47:13.441359]
2025-03-14T04:47:16.8599783Z 
2025-03-14T04:47:16.8600777Z test_per_overload_api 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_per_overload_api_1.1_42a76510df192b86_.log
2025-03-14T04:47:16.8601851Z Running 0 items in this shard:
2025-03-14T04:47:16.8603142Z 
2025-03-14T04:47:16.8603787Z Running test_functionalization_of_rng_ops 1/1 ... [2025-03-14 04:47:16.860175]
2025-03-14T04:47:16.8604303Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:47:16.8607957Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_functionalization_of_rng_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'] ... [2025-03-14 04:47:16.860565]
2025-03-14T04:47:20.2796216Z 
2025-03-14T04:47:20.2797451Z test_functionalization_of_rng_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functionalization_of_rng_ops_1.1_e1bbd7af9e89df73_.log
2025-03-14T04:47:20.2798387Z Running 0 items in this shard:
2025-03-14T04:47:20.2798606Z 
2025-03-14T04:47:20.2800033Z Running test_dlpack 1/1 ... [2025-03-14 04:47:20.279826]
2025-03-14T04:47:20.2800484Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:47:20.2804221Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', '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'] ... [2025-03-14 04:47:20.280179]
2025-03-14T04:47:23.5488080Z 
2025-03-14T04:47:23.5489194Z test_dlpack 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dlpack_1.1_fdf7212f2d755d14_.log
2025-03-14T04:47:23.5489990Z Running 0 items in this shard:
2025-03-14T04:47:23.5490215Z 
2025-03-14T04:47:23.5491798Z Running functorch/test_vmap_registrations 1/1 ... [2025-03-14 04:47:23.548988]
2025-03-14T04:47:23.5492318Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:47:23.5495642Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_vmap_registrations.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'] ... [2025-03-14 04:47:23.549319]
2025-03-14T04:47:27.0681320Z 
2025-03-14T04:47:27.0682933Z functorch/test_vmap_registrations 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_vmap_registrations_1.1_8674d0799f197c53_.log
2025-03-14T04:47:27.0684012Z Running 0 items in this shard:
2025-03-14T04:47:27.0684263Z 
2025-03-14T04:47:27.0685095Z Running test_ops_gradients 1/2 ... [2025-03-14 04:47:27.068330]
2025-03-14T04:47:27.0685784Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:47:27.0689177Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_ops_gradients.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'] ... [2025-03-14 04:47:27.068662]
2025-03-14T04:47:32.5400656Z 
2025-03-14T04:47:32.5402088Z test_ops_gradients 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_gradients_1.2_aff3a2b7dcc63093_.log
2025-03-14T04:47:32.5403722Z Running 0 items in this shard:
2025-03-14T04:47:32.5404030Z 
2025-03-14T04:47:32.5405649Z Running lazy/test_extract_compiled_graph 1/1 ... [2025-03-14 04:47:32.540363]
2025-03-14T04:47:32.5406420Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:47:32.5411298Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'lazy/test_extract_compiled_graph.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'] ... [2025-03-14 04:47:32.540784]
2025-03-14T04:47:33.9655741Z 
2025-03-14T04:47:33.9656804Z lazy/test_extract_compiled_graph 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_extract_compiled_graph_1.1_bca00d4a12c1c9e3_.log
2025-03-14T04:47:33.9657698Z 
2025-03-14T04:47:33.9658423Z Running dynamo/test_subclasses 1/1 ... [2025-03-14 04:47:33.965680]
2025-03-14T04:47:33.9659126Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:47:33.9662324Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_subclasses.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'] ... [2025-03-14 04:47:33.966012]
2025-03-14T04:47:40.6696716Z 
2025-03-14T04:47:40.6698273Z dynamo/test_subclasses 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_subclasses_1.1_6a723b6e276e95f9_.log
2025-03-14T04:47:40.6699433Z 
2025-03-14T04:47:40.6700560Z Running dynamo/test_ctx_manager 1/1 ... [2025-03-14 04:47:40.669857]
2025-03-14T04:47:40.6701359Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:47:40.6705451Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_ctx_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'] ... [2025-03-14 04:47:40.670232]
2025-03-14T04:47:47.4233278Z 
2025-03-14T04:47:47.4234249Z dynamo/test_ctx_manager 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_ctx_manager_1.1_95dc25ee368521a1_.log
2025-03-14T04:47:47.4235101Z 
2025-03-14T04:47:47.4235905Z Running dynamo/test_generator 1/1 ... [2025-03-14 04:47:47.423432]
2025-03-14T04:47:47.4236437Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:47:47.4240606Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_generator.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'] ... [2025-03-14 04:47:47.423777]
2025-03-14T04:47:50.6080550Z 
2025-03-14T04:47:50.6081826Z dynamo/test_generator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_generator_1.1_a213998c93532320_.log
2025-03-14T04:47:50.6082586Z 
2025-03-14T04:47:50.6084368Z Running test_subclass 1/1 ... [2025-03-14 04:47:50.608216]
2025-03-14T04:47:50.6084896Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:47:50.6087824Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:47:50.608534]
2025-03-14T04:47:54.0775078Z 
2025-03-14T04:47:54.0776364Z test_subclass 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_subclass_1.1_3118341d263a04e8_.log
2025-03-14T04:47:54.0777119Z Running 0 items in this shard:
2025-03-14T04:47:54.0777324Z 
2025-03-14T04:47:54.0778698Z Running export/test_lift_unlift 1/1 ... [2025-03-14 04:47:54.077686]
2025-03-14T04:47:54.0779370Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:47:54.0782480Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_lift_unlift.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'] ... [2025-03-14 04:47:54.078003]
2025-03-14T04:47:57.4466283Z 
2025-03-14T04:47:57.4467654Z export/test_lift_unlift 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_lift_unlift_1.1_76b32c09f3c5de3a_.log
2025-03-14T04:47:57.4468839Z Running 0 items in this shard:
2025-03-14T04:47:57.4469244Z 
2025-03-14T04:47:57.4470651Z Running lazy/test_ts_opinfo 1/1 ... [2025-03-14 04:47:57.446872]
2025-03-14T04:47:57.4471110Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:47:57.4474173Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'lazy/test_ts_opinfo.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'] ... [2025-03-14 04:47:57.447213]
2025-03-14T04:48:01.8172919Z 
2025-03-14T04:48:01.8173969Z lazy/test_ts_opinfo 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_ts_opinfo_1.1_1006448968649c01_.log
2025-03-14T04:48:01.8174779Z Running 0 items in this shard:
2025-03-14T04:48:01.8174983Z 
2025-03-14T04:48:01.8176480Z Running export/test_verifier 1/1 ... [2025-03-14 04:48:01.817465]
2025-03-14T04:48:01.8176953Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:48:01.8180066Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_verifier.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'] ... [2025-03-14 04:48:01.817786]
2025-03-14T04:48:05.2365944Z 
2025-03-14T04:48:05.2367052Z export/test_verifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_verifier_1.1_25c409b401ffed97_.log
2025-03-14T04:48:05.2367935Z Running 0 items in this shard:
2025-03-14T04:48:05.2368148Z 
2025-03-14T04:48:05.2369541Z Running dynamo/test_functions 1/1 ... [2025-03-14 04:48:05.236792]
2025-03-14T04:48:05.2370005Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:48:05.2373207Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_functions.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'] ... [2025-03-14 04:48:05.237105]
2025-03-14T04:48:11.9157227Z 
2025-03-14T04:48:11.9158520Z dynamo/test_functions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_functions_1.1_ebdf449f8cffb488_.log
2025-03-14T04:48:11.9159378Z 
2025-03-14T04:48:11.9160360Z Running torch_np/numpy_tests/lib/test_type_check 1/1 ... [2025-03-14 04:48:11.915829]
2025-03-14T04:48:11.9161076Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:48:11.9164779Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_type_check.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'] ... [2025-03-14 04:48:11.916177]
2025-03-14T04:48:15.3349573Z 
2025-03-14T04:48:15.3350756Z torch_np/numpy_tests/lib/test_type_check 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_type_check_1.1_081eda8f4ec75fe8_.log
2025-03-14T04:48:15.3351749Z Running 0 items in this shard:
2025-03-14T04:48:15.3351952Z 
2025-03-14T04:48:15.3353597Z Running export/test_serialize 1/1 ... [2025-03-14 04:48:15.335180]
2025-03-14T04:48:15.3354058Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:48:15.3357906Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_serialize.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'] ... [2025-03-14 04:48:15.335549]
2025-03-14T04:48:18.9045183Z 
2025-03-14T04:48:18.9046459Z export/test_serialize 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_serialize_1.1_b37dab111aa67643_.log
2025-03-14T04:48:18.9047301Z Running 0 items in this shard:
2025-03-14T04:48:18.9047541Z 
2025-03-14T04:48:18.9048776Z Running profiler/test_profiler 1/1 ... [2025-03-14 04:48:18.904616]
2025-03-14T04:48:18.9049280Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:48:18.9051961Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'profiler/test_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'] ... [2025-03-14 04:48:18.904934]
2025-03-14T04:48:22.4738475Z 
2025-03-14T04:48:22.4739490Z profiler/test_profiler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_profiler_1.1_eb4b992e9d4532ef_.log
2025-03-14T04:48:22.4746197Z Running 10 items in this shard: test/profiler/test_profiler.py::TestProfiler::test_source_multithreaded_basic_work_in_main_thread_False, test/profiler/test_profiler.py::TestProfiler::test_source_multithreaded_basic_work_in_main_thread_True, test/profiler/test_profiler.py::TestProfiler::test_source_multithreaded_close_in_scope_work_in_main_thread_False, test/profiler/test_profiler.py::TestProfiler::test_source_multithreaded_close_in_scope_work_in_main_thread_True, test/profiler/test_profiler.py::TestProfiler::test_source_multithreaded_complex_work_in_main_thread_False, test/profiler/test_profiler.py::TestProfiler::test_source_multithreaded_complex_work_in_main_thread_True, test/profiler/test_profiler.py::TestProfiler::test_source_multithreaded_multiple_preexisting_work_in_main_thread_False, test/profiler/test_profiler.py::TestProfiler::test_source_multithreaded_multiple_preexisting_work_in_main_thread_True, test/profiler/test_profiler.py::TestProfiler::test_source_multithreaded_open_in_scope_work_in_main_thread_False, test/profiler/test_profiler.py::TestProfiler::test_source_multithreaded_open_in_scope_work_in_main_thread_True
2025-03-14T04:48:22.4751337Z 
2025-03-14T04:48:22.4751532Z Running test_cuda 1/1 ... [2025-03-14 04:48:22.474024]
2025-03-14T04:48:22.4751941Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:48:22.4753029Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_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'] ... [2025-03-14 04:48:22.474349]
2025-03-14T04:48:27.1446319Z 
2025-03-14T04:48:27.1447325Z test_cuda 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_1.1_6a7f631c26596f2e_.log
2025-03-14T04:48:27.1455214Z Running 18 items in this shard: test/test_cuda.py::TestCuda::test_cuda_kernel_loop_overflow, test/test_cuda.py::TestCuda::test_cuda_kernel_loop_overflow_large, test/test_cuda.py::TestCuda::test_get_per_process_memory_fraction, test/test_cuda.py::TestCuda::test_graph_cudnn_dropout, test/test_cuda.py::TestCuda::test_graph_make_graphed_callables_parameterless_nograd_module_with_amp_cache_disabled_allow_unused_input, test/test_cuda.py::TestCuda::test_graph_make_graphed_callables_parameterless_nograd_module_with_amp_cache_enabled_allow_unused_input, test/test_cuda.py::TestCuda::test_graph_make_graphed_callables_parameterless_nograd_module_without_amp_allow_unused_input, test/test_cuda.py::TestCuda::test_graph_make_graphed_callables_parameterless_nograd_module_without_amp_not_allow_unused_input, test/test_cuda.py::TestCuda::test_graph_make_graphed_callables_with_amp_cache_disabled_allow_unused_input, test/test_cuda.py::TestCuda::test_graph_make_graphed_callables_with_amp_cache_enabled_allow_unused_input, test/test_cuda.py::TestCuda::test_graph_make_graphed_callables_without_amp_allow_unused_input, test/test_cuda.py::TestCuda::test_graph_make_graphed_callables_without_amp_not_allow_unused_input, test/test_cuda.py::TestCuda::test_huge_index, test/test_cuda.py::TestCuda::test_max_large_axis, test/test_cuda.py::TestCuda::test_out_of_memory_retry, test/test_cuda.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda.py::TestCuda::test_set_per_process_memory_fraction, test/test_cuda.py::TestCuda::test_to_non_blocking
2025-03-14T04:48:27.1462290Z 
2025-03-14T04:48:27.1462695Z Running torch_np/numpy_tests/core/test_numeric 1/1 ... [2025-03-14 04:48:27.144793]
2025-03-14T04:48:27.1463279Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:48:27.1464549Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:48:27.145140]
2025-03-14T04:48:30.6639297Z 
2025-03-14T04:48:30.6640746Z 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_974fada0a4445ca9_.log
2025-03-14T04:48:30.6641775Z Running 0 items in this shard:
2025-03-14T04:48:30.6641998Z 
2025-03-14T04:48:30.6642849Z Running dynamo/test_reorder_logs 1/1 ... [2025-03-14 04:48:30.664129]
2025-03-14T04:48:30.6643397Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:48:30.6646811Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_reorder_logs.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'] ... [2025-03-14 04:48:30.664452]
2025-03-14T04:48:33.9979455Z 
2025-03-14T04:48:33.9980761Z dynamo/test_reorder_logs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_reorder_logs_1.1_fd5fa9b50f231d84_.log
2025-03-14T04:48:33.9981524Z 
2025-03-14T04:48:33.9982872Z Running test_jit_fuser_te 1/1 ... [2025-03-14 04:48:33.998091]
2025-03-14T04:48:33.9983525Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:48:33.9986948Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:48:33.998431]
2025-03-14T04:48:40.4211406Z 
2025-03-14T04:48:40.4212317Z 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_2d648d944e9e3272_.log
2025-03-14T04:48:40.4213107Z Running 0 items in this shard:
2025-03-14T04:48:40.4213317Z 
2025-03-14T04:48:40.4215247Z Running test_pruning_op 1/1 ... [2025-03-14 04:48:40.421343]
2025-03-14T04:48:40.4215691Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:48:40.4219279Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_pruning_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'] ... [2025-03-14 04:48:40.421683]
2025-03-14T04:48:43.8404520Z 
2025-03-14T04:48:43.8405418Z test_pruning_op 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_pruning_op_1.1_82285fda906e9fe9_.log
2025-03-14T04:48:43.8406217Z Running 0 items in this shard:
2025-03-14T04:48:43.8406434Z 
2025-03-14T04:48:43.8408452Z Running test_mkldnn 1/1 ... [2025-03-14 04:48:43.840670]
2025-03-14T04:48:43.8408876Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:48:43.8412520Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:48:43.841033]
2025-03-14T04:48:47.4102340Z 
2025-03-14T04:48:47.4103439Z test_mkldnn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkldnn_1.1_f3483816f3e986f2_.log
2025-03-14T04:48:47.4104173Z Running 0 items in this shard:
2025-03-14T04:48:47.4104389Z 
2025-03-14T04:48:47.4106145Z Running test_tensorboard 1/1 ... [2025-03-14 04:48:47.410448]
2025-03-14T04:48:47.4106581Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:48:47.4110341Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_tensorboard.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'] ... [2025-03-14 04:48:47.410811]
2025-03-14T04:48:51.3803056Z 
2025-03-14T04:48:51.3803955Z test_tensorboard 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorboard_1.1_618127b28ae63ca6_.log
2025-03-14T04:48:51.3804752Z Running 0 items in this shard:
2025-03-14T04:48:51.3804966Z 
2025-03-14T04:48:51.3806877Z Running test_import_stats 1/1 ... [2025-03-14 04:48:51.380530]
2025-03-14T04:48:51.3807525Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:48:51.3811110Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_import_stats.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'] ... [2025-03-14 04:48:51.380893]
2025-03-14T04:48:54.7493878Z 
2025-03-14T04:48:54.7495424Z test_import_stats 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_import_stats_1.1_12209beac68478f9_.log
2025-03-14T04:48:54.7496760Z Running 0 items in this shard:
2025-03-14T04:48:54.7497034Z 
2025-03-14T04:48:54.7498824Z Running test_sympy_utils 1/1 ... [2025-03-14 04:48:54.749689]
2025-03-14T04:48:54.7499484Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:48:54.7504907Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_sympy_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'] ... [2025-03-14 04:48:54.750154]
2025-03-14T04:48:58.1188881Z 
2025-03-14T04:48:58.1190449Z test_sympy_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sympy_utils_1.1_0253d6b7d3cf4cff_.log
2025-03-14T04:48:58.1191744Z Running 0 items in this shard:
2025-03-14T04:48:58.1192060Z 
2025-03-14T04:48:58.1193549Z Running test_jit_llga_fuser 1/1 ... [2025-03-14 04:48:58.119175]
2025-03-14T04:48:58.1194206Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:48:58.1199211Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_jit_llga_fuser.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'] ... [2025-03-14 04:48:58.119603]
2025-03-14T04:49:01.8889764Z 
2025-03-14T04:49:01.8891424Z test_jit_llga_fuser 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_llga_fuser_1.1_bcb719701ec067cb_.log
2025-03-14T04:49:01.8892674Z Running 0 items in this shard:
2025-03-14T04:49:01.8893006Z 
2025-03-14T04:49:01.8893965Z Running optim/test_lrscheduler 1/1 ... [2025-03-14 04:49:01.889233]
2025-03-14T04:49:01.8894676Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:49:01.8899732Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'optim/test_lrscheduler.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'] ... [2025-03-14 04:49:01.889655]
2025-03-14T04:49:05.2197528Z 
2025-03-14T04:49:05.2199095Z optim/test_lrscheduler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_lrscheduler_1.1_9897226c11dae6cb_.log
2025-03-14T04:49:05.2200223Z 
2025-03-14T04:49:05.2201905Z Running torch_np/numpy_tests/lib/test_function_base 1/1 ... [2025-03-14 04:49:05.219993]
2025-03-14T04:49:05.2203054Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:49:05.2207693Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:49:05.220422]
2025-03-14T04:49:08.7393513Z 
2025-03-14T04:49:08.7394755Z 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_b3164539ea601fb0_.log
2025-03-14T04:49:08.7395839Z Running 0 items in this shard:
2025-03-14T04:49:08.7396052Z 
2025-03-14T04:49:08.7396562Z Running torch_np/test_ufuncs_basic 1/1 ... [2025-03-14 04:49:08.739490]
2025-03-14T04:49:08.7397156Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:49:08.7400497Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/test_ufuncs_basic.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'] ... [2025-03-14 04:49:08.739818]
2025-03-14T04:49:12.2589096Z 
2025-03-14T04:49:12.2590687Z torch_np/test_ufuncs_basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_ufuncs_basic_1.1_9c295403794cc811_.log
2025-03-14T04:49:12.2592097Z Running 0 items in this shard:
2025-03-14T04:49:12.2592457Z 
2025-03-14T04:49:12.2592919Z Running torch_np/numpy_tests/lib/test_histograms 1/1 ... [2025-03-14 04:49:12.259083]
2025-03-14T04:49:12.2593749Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:49:12.2598680Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_histograms.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'] ... [2025-03-14 04:49:12.259525]
2025-03-14T04:49:15.7786645Z 
2025-03-14T04:49:15.7788382Z torch_np/numpy_tests/lib/test_histograms 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_histograms_1.1_e383c1a7b0d99931_.log
2025-03-14T04:49:15.7790121Z Running 0 items in this shard:
2025-03-14T04:49:15.7790433Z 
2025-03-14T04:49:15.7790885Z Running benchmark_utils/test_benchmark_utils 1/1 ... [2025-03-14 04:49:15.778820]
2025-03-14T04:49:15.7791692Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:49:15.7795812Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'benchmark_utils/test_benchmark_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'] ... [2025-03-14 04:49:15.779244]
2025-03-14T04:49:19.2484397Z 
2025-03-14T04:49:19.2486323Z benchmark_utils/test_benchmark_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/benchmark_utils.test_benchmark_utils_1.1_d65f9e8e4ffb7581_.log
2025-03-14T04:49:19.2487936Z Running 0 items in this shard:
2025-03-14T04:49:19.2488295Z 
2025-03-14T04:49:19.2488586Z Running test_indexing 1/1 ... [2025-03-14 04:49:19.248667]
2025-03-14T04:49:19.2489213Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:49:19.2494112Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_indexing.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'] ... [2025-03-14 04:49:19.249092]
2025-03-14T04:49:22.5678212Z 
2025-03-14T04:49:22.5679285Z test_indexing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_indexing_1.1_d6dc83852c1e8b7b_.log
2025-03-14T04:49:22.5680113Z Running 0 items in this shard:
2025-03-14T04:49:22.5680340Z 
2025-03-14T04:49:22.5681827Z Running test_sparse_csr 1/1 ... [2025-03-14 04:49:22.568011]
2025-03-14T04:49:22.5682306Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:49:22.5685971Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_sparse_csr.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'] ... [2025-03-14 04:49:22.568375]
2025-03-14T04:49:28.0900857Z 
2025-03-14T04:49:28.0902126Z test_sparse_csr 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sparse_csr_1.1_1681c11042a0b4cf_.log
2025-03-14T04:49:28.0903491Z Running 0 items in this shard:
2025-03-14T04:49:28.0903799Z 
2025-03-14T04:49:28.0905908Z Running optim/test_swa_utils 1/1 ... [2025-03-14 04:49:28.090389]
2025-03-14T04:49:28.0906609Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:49:28.0911354Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'optim/test_swa_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'] ... [2025-03-14 04:49:28.090809]
2025-03-14T04:49:31.3195730Z 
2025-03-14T04:49:31.3196771Z optim/test_swa_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_swa_utils_1.1_f3ca7dd336b6b66b_.log
2025-03-14T04:49:31.3197523Z 
2025-03-14T04:49:31.3199323Z Running torch_np/numpy_tests/core/test_indexing 1/1 ... [2025-03-14 04:49:31.319762]
2025-03-14T04:49:31.3199902Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:49:31.3203322Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/core/test_indexing.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'] ... [2025-03-14 04:49:31.320114]
2025-03-14T04:49:34.7388570Z 
2025-03-14T04:49:34.7390318Z torch_np/numpy_tests/core/test_indexing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_indexing_1.1_1ac60b0665514623_.log
2025-03-14T04:49:34.7391928Z Running 0 items in this shard:
2025-03-14T04:49:34.7392259Z 
2025-03-14T04:49:34.7393424Z Running torch_np/numpy_tests/linalg/test_linalg 1/1 ... [2025-03-14 04:49:34.739146]
2025-03-14T04:49:34.7394238Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:49:34.7399406Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/linalg/test_linalg.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'] ... [2025-03-14 04:49:34.739588]
2025-03-14T04:49:38.2083375Z 
2025-03-14T04:49:38.2084555Z torch_np/numpy_tests/linalg/test_linalg 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.linalg.test_linalg_1.1_023f9c4681a6a609_.log
2025-03-14T04:49:38.2085892Z Running 0 items in this shard:
2025-03-14T04:49:38.2086133Z 
2025-03-14T04:49:38.2086957Z Running export/test_sparse 1/1 ... [2025-03-14 04:49:38.208540]
2025-03-14T04:49:38.2087424Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:49:38.2091108Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_sparse.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'] ... [2025-03-14 04:49:38.208878]
2025-03-14T04:49:41.6777104Z 
2025-03-14T04:49:41.6778190Z export/test_sparse 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_sparse_1.1_c1b1ccb3906048ef_.log
2025-03-14T04:49:41.6779050Z Running 0 items in this shard:
2025-03-14T04:49:41.6779256Z 
2025-03-14T04:49:41.6781407Z Running lazy/test_generator 1/1 ... [2025-03-14 04:49:41.677921]
2025-03-14T04:49:41.6781861Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:49:41.6785496Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'lazy/test_generator.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'] ... [2025-03-14 04:49:41.678286]
2025-03-14T04:49:45.0469891Z 
2025-03-14T04:49:45.0471263Z lazy/test_generator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_generator_1.1_191a05c9753d0d96_.log
2025-03-14T04:49:45.0472335Z Running 0 items in this shard:
2025-03-14T04:49:45.0472542Z 
2025-03-14T04:49:45.0472739Z Running test_datapipe 1/1 ... [2025-03-14 04:49:45.047091]
2025-03-14T04:49:45.0473163Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:49:45.0477380Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:49:45.047438]
2025-03-14T04:49:48.5163491Z 
2025-03-14T04:49:48.5164483Z test_datapipe 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_datapipe_1.1_ae3ffb8428b30e59_.log
2025-03-14T04:49:48.5165348Z Running 0 items in this shard:
2025-03-14T04:49:48.5165557Z 
2025-03-14T04:49:48.5167348Z Running test_testing 1/1 ... [2025-03-14 04:49:48.516549]
2025-03-14T04:49:48.5167851Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:49:48.5171261Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_testing.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'] ... [2025-03-14 04:49:48.516878]
2025-03-14T04:49:53.3877868Z 
2025-03-14T04:49:53.3878829Z test_testing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_testing_1.1_3516dec3b7c66a62_.log
2025-03-14T04:49:53.3879684Z Running 0 items in this shard:
2025-03-14T04:49:53.3879953Z 
2025-03-14T04:49:53.3880933Z Running profiler/test_memory_profiler 1/1 ... [2025-03-14 04:49:53.387901]
2025-03-14T04:49:53.3881649Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:49:53.3884863Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:49:53.388219]
2025-03-14T04:49:56.6568960Z 
2025-03-14T04:49:56.6570225Z 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_ddcff40dcf7805a5_.log
2025-03-14T04:49:56.6571448Z Running 0 items in this shard:
2025-03-14T04:49:56.6571746Z 
2025-03-14T04:49:56.6571955Z Running nn/test_module_hooks 1/1 ... [2025-03-14 04:49:56.656940]
2025-03-14T04:49:56.6572432Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:49:56.6575173Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'nn/test_module_hooks.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'] ... [2025-03-14 04:49:56.657245]
2025-03-14T04:50:00.0258632Z 
2025-03-14T04:50:00.0259906Z nn/test_module_hooks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_module_hooks_1.1_d8d154c0cb875a4d_.log
2025-03-14T04:50:00.0260725Z Running 0 items in this shard:
2025-03-14T04:50:00.0260955Z 
2025-03-14T04:50:00.0261784Z Running nn/test_load_state_dict 1/1 ... [2025-03-14 04:50:00.026011]
2025-03-14T04:50:00.0262453Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:50:00.0265686Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'nn/test_load_state_dict.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'] ... [2025-03-14 04:50:00.026303]
2025-03-14T04:50:03.5453873Z 
2025-03-14T04:50:03.5455125Z nn/test_load_state_dict 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_load_state_dict_1.1_19653c0721f41237_.log
2025-03-14T04:50:03.5455959Z Running 0 items in this shard:
2025-03-14T04:50:03.5456227Z 
2025-03-14T04:50:03.5457181Z Running test_function_schema 1/1 ... [2025-03-14 04:50:03.545524]
2025-03-14T04:50:03.5457777Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:50:03.5461406Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:50:03.545872]
2025-03-14T04:50:06.9648135Z 
2025-03-14T04:50:06.9649389Z test_function_schema 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_function_schema_1.1_6c12695c7a6c797b_.log
2025-03-14T04:50:06.9650420Z Running 0 items in this shard:
2025-03-14T04:50:06.9650646Z 
2025-03-14T04:50:06.9651981Z Running torch_np/numpy_tests/core/test_shape_base 1/1 ... [2025-03-14 04:50:06.964985]
2025-03-14T04:50:06.9652675Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:50:06.9655856Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/core/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'] ... [2025-03-14 04:50:06.965327]
2025-03-14T04:50:10.4843774Z 
2025-03-14T04:50:10.4845201Z torch_np/numpy_tests/core/test_shape_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_shape_base_1.1_141fbadf9223281a_.log
2025-03-14T04:50:10.4846205Z Running 0 items in this shard:
2025-03-14T04:50:10.4846491Z 
2025-03-14T04:50:10.4847387Z Running test_ops 1/8 ... [2025-03-14 04:50:10.484573]
2025-03-14T04:50:10.4848038Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:50:10.4851398Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_ops.py', '-m', 'serial', '--shard-id=1', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-03-14 04:50:10.484896]
2025-03-14T04:50:24.4674611Z 
2025-03-14T04:50:24.4675934Z test_ops 1/8 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_1.8_400011837dec8eb2_.log
2025-03-14T04:50:24.4677110Z Running 0 items in this shard:
2025-03-14T04:50:24.4677412Z 
2025-03-14T04:50:24.4679005Z Running test_ops 4/8 ... [2025-03-14 04:50:24.467722]
2025-03-14T04:50:24.4679597Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:50:24.4684648Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_ops.py', '-m', 'serial', '--shard-id=4', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-03-14 04:50:24.468128]
2025-03-14T04:50:38.5007567Z 
2025-03-14T04:50:38.5008441Z test_ops 4/8 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_4.8_070a91aec623858b_.log
2025-03-14T04:50:38.5009155Z Running 0 items in this shard:
2025-03-14T04:50:38.5009409Z 
2025-03-14T04:50:38.5011028Z Running test_ops 6/8 ... [2025-03-14 04:50:38.500920]
2025-03-14T04:50:38.5011437Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:50:38.5014423Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_ops.py', '-m', 'serial', '--shard-id=6', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-03-14 04:50:38.501226]
2025-03-14T04:50:52.4349656Z 
2025-03-14T04:50:52.4350641Z test_ops 6/8 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_6.8_4094d1ddb8be08d1_.log
2025-03-14T04:50:52.4351612Z Running 0 items in this shard:
2025-03-14T04:50:52.4351830Z 
2025-03-14T04:50:52.4353037Z Running test_ops 7/8 ... [2025-03-14 04:50:52.435156]
2025-03-14T04:50:52.4353488Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:50:52.4357291Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_ops.py', '-m', 'serial', '--shard-id=7', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-03-14 04:50:52.435494]
2025-03-14T04:51:06.5186271Z 
2025-03-14T04:51:06.5187130Z test_ops 7/8 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_7.8_2a4301a654db3646_.log
2025-03-14T04:51:06.5187851Z Running 0 items in this shard:
2025-03-14T04:51:06.5188067Z 
2025-03-14T04:51:06.5189596Z Running torch_np/numpy_tests/core/test_getlimits 1/1 ... [2025-03-14 04:51:06.518784]
2025-03-14T04:51:06.5190388Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:51:06.5193551Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/core/test_getlimits.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'] ... [2025-03-14 04:51:06.519133]
2025-03-14T04:51:09.9882271Z 
2025-03-14T04:51:09.9883444Z torch_np/numpy_tests/core/test_getlimits 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_getlimits_1.1_73b3f0f934cc84bf_.log
2025-03-14T04:51:09.9884478Z Running 0 items in this shard:
2025-03-14T04:51:09.9884770Z 
2025-03-14T04:51:09.9885851Z Running torch_np/numpy_tests/lib/test_shape_base_ 1/1 ... [2025-03-14 04:51:09.988413]
2025-03-14T04:51:09.9886439Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:51:09.9889780Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:51:09.988754]
2025-03-14T04:51:13.5579046Z 
2025-03-14T04:51:13.5580312Z 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_c7d2eef0d4f1b076_.log
2025-03-14T04:51:13.5581471Z Running 0 items in this shard:
2025-03-14T04:51:13.5581702Z 
2025-03-14T04:51:13.5582312Z Running test_view_ops 1/1 ... [2025-03-14 04:51:13.558084]
2025-03-14T04:51:13.5582736Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:51:13.5586312Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_view_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'] ... [2025-03-14 04:51:13.558420]
2025-03-14T04:51:16.9272726Z 
2025-03-14T04:51:16.9274117Z test_view_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_view_ops_1.1_3fd19c04d16d484f_.log
2025-03-14T04:51:16.9274901Z Running 0 items in this shard:
2025-03-14T04:51:16.9275283Z 
2025-03-14T04:51:16.9276080Z Running test_jit_autocast 1/1 ... [2025-03-14 04:51:16.927452]
2025-03-14T04:51:16.9276757Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:51:16.9280199Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:51:16.927790]
2025-03-14T04:51:21.9987504Z 
2025-03-14T04:51:21.9988673Z test_jit_autocast 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_autocast_1.1_fc879efc26d2e88a_.log
2025-03-14T04:51:21.9989761Z Running 0 items in this shard:
2025-03-14T04:51:21.9990019Z 
2025-03-14T04:51:21.9990975Z Running nn/test_init 1/1 ... [2025-03-14 04:51:21.998946]
2025-03-14T04:51:21.9991659Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:51:21.9995446Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:51:21.999279]
2025-03-14T04:51:25.7684468Z 
2025-03-14T04:51:25.7685601Z nn/test_init 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_init_1.1_4dcc0f67b071e134_.log
2025-03-14T04:51:25.7686340Z Running 0 items in this shard:
2025-03-14T04:51:25.7686558Z 
2025-03-14T04:51:25.7688383Z Running test_xnnpack_integration 1/1 ... [2025-03-14 04:51:25.768635]
2025-03-14T04:51:25.7688989Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:51:25.7692083Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:51:25.768953]
2025-03-14T04:51:29.2378301Z 
2025-03-14T04:51:29.2379576Z test_xnnpack_integration 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_xnnpack_integration_1.1_9cf64904bfd83f72_.log
2025-03-14T04:51:29.2380446Z Running 0 items in this shard:
2025-03-14T04:51:29.2380720Z 
2025-03-14T04:51:29.2381984Z Running profiler/test_profiler_tree 1/1 ... [2025-03-14 04:51:29.238021]
2025-03-14T04:51:29.2382646Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:51:29.2385984Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:51:29.238342]
2025-03-14T04:51:32.5568626Z 
2025-03-14T04:51:32.5569936Z 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_0303a4b7c4c2d227_.log
2025-03-14T04:51:32.5570833Z Running 0 items in this shard:
2025-03-14T04:51:32.5571061Z 
2025-03-14T04:51:32.5572396Z Running torch_np/test_ndarray_methods 1/1 ... [2025-03-14 04:51:32.557046]
2025-03-14T04:51:32.5573153Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:51:32.5576582Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/test_ndarray_methods.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'] ... [2025-03-14 04:51:32.557397]
2025-03-14T04:51:36.1265684Z 
2025-03-14T04:51:36.1267624Z torch_np/test_ndarray_methods 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_ndarray_methods_1.1_77ab5ac4363aaad7_.log
2025-03-14T04:51:36.1268669Z Running 0 items in this shard:
2025-03-14T04:51:36.1268877Z 
2025-03-14T04:51:36.1269063Z Running test_jit 1/1 ... [2025-03-14 04:51:36.126725]
2025-03-14T04:51:36.1269467Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:51:36.1272679Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:51:36.127052]
2025-03-14T04:51:41.4984920Z 
2025-03-14T04:51:41.4986069Z test_jit 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_1.1_d4c9c8c9819bb907_.log
2025-03-14T04:51:41.4986838Z Running 0 items in this shard:
2025-03-14T04:51:41.4987058Z 
2025-03-14T04:51:41.4988364Z Running test_serialization 1/1 ... [2025-03-14 04:51:41.498646]
2025-03-14T04:51:41.4989037Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:51:41.4992249Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:51:41.498974]
2025-03-14T04:52:11.8586375Z 
2025-03-14T04:52:11.8592037Z test_serialization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_serialization_1.1_42abc09c231b45c5_.log
2025-03-14T04:52:11.8593667Z Running 2 items in this shard: test/test_serialization.py::TestSerialization::test_serialization_2gb_file, test/test_serialization.py::TestSerialization::test_serialization_4gb_file
2025-03-14T04:52:11.8594512Z 
2025-03-14T04:52:11.8594799Z Running torch_np/numpy_tests/lib/test_twodim_base 1/1 ... [2025-03-14 04:52:11.856216]
2025-03-14T04:52:11.8595404Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:52:11.8596656Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_twodim_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'] ... [2025-03-14 04:52:11.858705]
2025-03-14T04:52:18.2358166Z 
2025-03-14T04:52:18.2359375Z torch_np/numpy_tests/lib/test_twodim_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_twodim_base_1.1_87670d9e01de3735_.log
2025-03-14T04:52:18.2360443Z Running 0 items in this shard:
2025-03-14T04:52:18.2360660Z 
2025-03-14T04:52:18.2362102Z Running lazy/test_reuse_ir 1/1 ... [2025-03-14 04:52:18.236045]
2025-03-14T04:52:18.2362609Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:52:18.2366653Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'lazy/test_reuse_ir.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'] ... [2025-03-14 04:52:18.236379]
2025-03-14T04:52:21.6050312Z 
2025-03-14T04:52:21.6051556Z lazy/test_reuse_ir 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_reuse_ir_1.1_f182ce7d5392d169_.log
2025-03-14T04:52:21.6052352Z Running 0 items in this shard:
2025-03-14T04:52:21.6052575Z 
2025-03-14T04:52:21.6053821Z Running torch_np/numpy_tests/core/test_numerictypes 1/1 ... [2025-03-14 04:52:21.605212]
2025-03-14T04:52:21.6054432Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:52:21.6058149Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:52:21.605571]
2025-03-14T04:52:25.0242572Z 
2025-03-14T04:52:25.0249628Z 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_4f128c7a5ccde807_.log
2025-03-14T04:52:25.0251069Z Running 0 items in this shard:
2025-03-14T04:52:25.0251305Z 
2025-03-14T04:52:25.0251625Z Running torch_np/numpy_tests/lib/test_index_tricks 1/1 ... [2025-03-14 04:52:25.024440]
2025-03-14T04:52:25.0252169Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:52:25.0253408Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_index_tricks.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'] ... [2025-03-14 04:52:25.024787]
2025-03-14T04:52:28.4455129Z 
2025-03-14T04:52:28.4456340Z torch_np/numpy_tests/lib/test_index_tricks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_index_tricks_1.1_29cff3047cf2c3ac_.log
2025-03-14T04:52:28.4457663Z Running 0 items in this shard:
2025-03-14T04:52:28.4457903Z 
2025-03-14T04:52:28.4458622Z Running test_type_info 1/1 ... [2025-03-14 04:52:28.445700]
2025-03-14T04:52:28.4459144Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:52:28.4462690Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_type_info.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'] ... [2025-03-14 04:52:28.446032]
2025-03-14T04:52:31.8649526Z 
2025-03-14T04:52:31.8650403Z test_type_info 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_info_1.1_fe37e368e754a19b_.log
2025-03-14T04:52:31.8651167Z Running 0 items in this shard:
2025-03-14T04:52:31.8651388Z 
2025-03-14T04:52:31.8652867Z Running functorch/test_vmap 1/2 ... [2025-03-14 04:52:31.865132]
2025-03-14T04:52:31.8653330Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:52:31.8656576Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_vmap.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'] ... [2025-03-14 04:52:31.865448]
2025-03-14T04:52:36.9864478Z 
2025-03-14T04:52:36.9865477Z functorch/test_vmap 1/2 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_vmap_1.2_506f51f91c629f64_.log
2025-03-14T04:52:36.9866294Z Running 0 items in this shard:
2025-03-14T04:52:36.9866518Z 
2025-03-14T04:52:36.9868102Z Running test_functional_autograd_benchmark 1/1 ... [2025-03-14 04:52:36.986623]
2025-03-14T04:52:36.9868667Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:52:36.9871878Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:52:36.986962]
2025-03-14T04:52:40.5559497Z 
2025-03-14T04:52:40.5560592Z 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_cd5a3d5ca17396c1_.log
2025-03-14T04:52:40.5561545Z Running 0 items in this shard:
2025-03-14T04:52:40.5561810Z 
2025-03-14T04:52:40.5563077Z Running functorch/test_ops 1/8 ... [2025-03-14 04:52:40.556128]
2025-03-14T04:52:40.5563587Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:52:40.5567185Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_ops.py', '-m', 'serial', '--shard-id=1', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-03-14 04:52:40.556452]
2025-03-14T04:52:46.6788094Z 
2025-03-14T04:52:46.6789271Z functorch/test_ops 1/8 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ops_1.8_a477e7fce11dd1d8_.log
2025-03-14T04:52:46.6790413Z Running 0 items in this shard:
2025-03-14T04:52:46.6790653Z 
2025-03-14T04:52:46.6791402Z Running functorch/test_ops 2/8 ... [2025-03-14 04:52:46.678980]
2025-03-14T04:52:46.6791902Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:52:46.6795742Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_ops.py', '-m', 'serial', '--shard-id=2', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-03-14 04:52:46.679285]
2025-03-14T04:52:52.8517316Z 
2025-03-14T04:52:52.8518559Z functorch/test_ops 2/8 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ops_2.8_ac753dca701f9a25_.log
2025-03-14T04:52:52.8519373Z Running 0 items in this shard:
2025-03-14T04:52:52.8519588Z 
2025-03-14T04:52:52.8520406Z Running functorch/test_ops 5/8 ... [2025-03-14 04:52:52.851871]
2025-03-14T04:52:52.8521215Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:52:52.8524295Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_ops.py', '-m', 'serial', '--shard-id=5', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-03-14 04:52:52.852176]
2025-03-14T04:52:58.9747392Z 
2025-03-14T04:52:58.9748882Z functorch/test_ops 5/8 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ops_5.8_1b12d2fbbbd8a040_.log
2025-03-14T04:52:58.9749776Z Running 0 items in this shard:
2025-03-14T04:52:58.9749983Z 
2025-03-14T04:52:58.9750681Z Running functorch/test_ops 7/8 ... [2025-03-14 04:52:58.974881]
2025-03-14T04:52:58.9751346Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:52:58.9754612Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_ops.py', '-m', 'serial', '--shard-id=7', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-03-14 04:52:58.975185]
2025-03-14T04:53:05.0474648Z 
2025-03-14T04:53:05.0475847Z functorch/test_ops 7/8 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ops_7.8_0069d017e80a6828_.log
2025-03-14T04:53:05.0477225Z Running 0 items in this shard:
2025-03-14T04:53:05.0477448Z 
2025-03-14T04:53:05.0478878Z Running functorch/test_ops 8/8 ... [2025-03-14 04:53:05.047667]
2025-03-14T04:53:05.0479385Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:53:05.0482607Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_ops.py', '-m', 'serial', '--shard-id=8', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-03-14 04:53:05.048029]
2025-03-14T04:53:11.1704437Z 
2025-03-14T04:53:11.1705421Z functorch/test_ops 8/8 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ops_8.8_a045b60a13dcdc8d_.log
2025-03-14T04:53:11.1706255Z Running 0 items in this shard:
2025-03-14T04:53:11.1706456Z 
2025-03-14T04:53:11.1708121Z Running test_sparse 3/3 ... [2025-03-14 04:53:11.170644]
2025-03-14T04:53:11.1708614Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:53:11.1712188Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_sparse.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'] ... [2025-03-14 04:53:11.170985]
2025-03-14T04:53:16.1418380Z 
2025-03-14T04:53:16.1419262Z test_sparse 3/3 was successful, full logs can be found in artifacts with path test/test-reports/test_sparse_3.3_8ca224b4837c346d_.log
2025-03-14T04:53:16.1419992Z Running 0 items in this shard:
2025-03-14T04:53:16.1420195Z 
2025-03-14T04:53:16.1422183Z Running functorch/test_aotdispatch 1/5 ... [2025-03-14 04:53:16.142044]
2025-03-14T04:53:16.1422784Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:53:16.1426286Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_aotdispatch.py', '-m', 'serial', '--shard-id=1', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-03-14 04:53:16.142378]
2025-03-14T04:53:21.4644553Z 
2025-03-14T04:53:21.4645641Z functorch/test_aotdispatch 1/5 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aotdispatch_1.5_fd44095b5c03f276_.log
2025-03-14T04:53:21.4646637Z Running 0 items in this shard:
2025-03-14T04:53:21.4646904Z 
2025-03-14T04:53:21.4647984Z Running functorch/test_aotdispatch 3/5 ... [2025-03-14 04:53:21.464618]
2025-03-14T04:53:21.4648475Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:53:21.4651456Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_aotdispatch.py', '-m', 'serial', '--shard-id=3', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-03-14 04:53:21.464926]
2025-03-14T04:53:26.6879375Z 
2025-03-14T04:53:26.6880459Z functorch/test_aotdispatch 3/5 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aotdispatch_3.5_19225ebcc1255bae_.log
2025-03-14T04:53:26.6881443Z Running 0 items in this shard:
2025-03-14T04:53:26.6881923Z 
2025-03-14T04:53:26.6882826Z Running torch_np/test_function_base 1/1 ... [2025-03-14 04:53:26.688105]
2025-03-14T04:53:26.6883360Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:53:26.6886438Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/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'] ... [2025-03-14 04:53:26.688414]
2025-03-14T04:53:30.0571021Z 
2025-03-14T04:53:30.0572308Z torch_np/test_function_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_function_base_1.1_c86f668a9c394900_.log
2025-03-14T04:53:30.0573189Z Running 0 items in this shard:
2025-03-14T04:53:30.0573407Z 
2025-03-14T04:53:30.0574914Z Running torch_np/test_reductions 1/1 ... [2025-03-14 04:53:30.057312]
2025-03-14T04:53:30.0575390Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:53:30.0578858Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:53:30.057681]
2025-03-14T04:53:33.6268442Z 
2025-03-14T04:53:33.6269458Z 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_63de9d046993f00f_.log
2025-03-14T04:53:33.6270315Z Running 0 items in this shard:
2025-03-14T04:53:33.6270559Z 
2025-03-14T04:53:33.6272038Z Running torch_np/numpy_tests/core/test_scalar_ctors 1/1 ... [2025-03-14 04:53:33.627042]
2025-03-14T04:53:33.6272588Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:53:33.6276332Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:53:33.627403]
2025-03-14T04:53:37.1463574Z 
2025-03-14T04:53:37.1465376Z 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_e2e5c45fd04ce3d6_.log
2025-03-14T04:53:37.1467187Z Running 0 items in this shard:
2025-03-14T04:53:37.1467556Z 
2025-03-14T04:53:37.1468357Z Running test_prims 1/1 ... [2025-03-14 04:53:37.146646]
2025-03-14T04:53:37.1468988Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:53:37.1474175Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:53:37.147080]
2025-03-14T04:53:41.6175266Z 
2025-03-14T04:53:41.6176299Z test_prims 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_prims_1.1_76ad42d675bef46c_.log
2025-03-14T04:53:41.6177158Z Running 0 items in this shard:
2025-03-14T04:53:41.6177377Z 
2025-03-14T04:53:41.6177661Z Running torch_np/numpy_tests/lib/test_arraypad 1/1 ... [2025-03-14 04:53:41.617551]
2025-03-14T04:53:41.6178187Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:53:41.6181646Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_arraypad.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'] ... [2025-03-14 04:53:41.617875]
2025-03-14T04:53:45.0365462Z 
2025-03-14T04:53:45.0366863Z torch_np/numpy_tests/lib/test_arraypad 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_arraypad_1.1_9eacfd53cb6a05d8_.log
2025-03-14T04:53:45.0368147Z Running 0 items in this shard:
2025-03-14T04:53:45.0368376Z 
2025-03-14T04:53:45.0369621Z Running dynamo/test_comptime 1/1 ... [2025-03-14 04:53:45.036738]
2025-03-14T04:53:45.0370134Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:53:45.0373376Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:53:45.037074]
2025-03-14T04:53:48.3438037Z 
2025-03-14T04:53:48.3439294Z dynamo/test_comptime 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_comptime_1.1_5227e47891b9c338_.log
2025-03-14T04:53:48.3440353Z 
2025-03-14T04:53:48.3441244Z Running torch_np/test_scalars_0D_arrays 1/1 ... [2025-03-14 04:53:48.343968]
2025-03-14T04:53:48.3441991Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:53:48.3445475Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/test_scalars_0D_arrays.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'] ... [2025-03-14 04:53:48.344274]
2025-03-14T04:53:51.7128354Z 
2025-03-14T04:53:51.7129411Z torch_np/test_scalars_0D_arrays 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_scalars_0D_arrays_1.1_9b107f565df98fac_.log
2025-03-14T04:53:51.7130319Z Running 0 items in this shard:
2025-03-14T04:53:51.7130576Z 
2025-03-14T04:53:51.7131487Z Running lazy/test_bindings 1/1 ... [2025-03-14 04:53:51.712984]
2025-03-14T04:53:51.7131990Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:53:51.7135248Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:53:51.713314]
2025-03-14T04:53:53.1507635Z 
2025-03-14T04:53:53.1508715Z lazy/test_bindings 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_bindings_1.1_0ff9c9ed1edcb66f_.log
2025-03-14T04:53:53.1509396Z 
2025-03-14T04:53:53.1511238Z Running test_quantization 1/4 ... [2025-03-14 04:53:53.150961]
2025-03-14T04:53:53.1511682Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:53:53.1515531Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_quantization.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'] ... [2025-03-14 04:53:53.151317]
2025-03-14T04:53:57.5712594Z 
2025-03-14T04:53:57.5713611Z test_quantization 1/4 was successful, full logs can be found in artifacts with path test/test-reports/test_quantization_1.4_a550ff9c321775d5_.log
2025-03-14T04:53:57.5714491Z Running 0 items in this shard:
2025-03-14T04:53:57.5714701Z 
2025-03-14T04:53:57.5716371Z Running test_quantization 2/4 ... [2025-03-14 04:53:57.571429]
2025-03-14T04:53:57.5716845Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:53:57.5719806Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_quantization.py', '-m', 'serial', '--shard-id=2', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-03-14 04:53:57.571772]
2025-03-14T04:54:01.6916003Z 
2025-03-14T04:54:01.6916996Z test_quantization 2/4 was successful, full logs can be found in artifacts with path test/test-reports/test_quantization_2.4_89f11e0177607c6f_.log
2025-03-14T04:54:01.6918306Z Running 0 items in this shard:
2025-03-14T04:54:01.6918713Z 
2025-03-14T04:54:01.6920019Z Running test_quantization 4/4 ... [2025-03-14 04:54:01.691803]
2025-03-14T04:54:01.6920800Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:54:01.6924457Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_quantization.py', '-m', 'serial', '--shard-id=4', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-03-14 04:54:01.692178]
2025-03-14T04:54:05.7116169Z 
2025-03-14T04:54:05.7117079Z test_quantization 4/4 was successful, full logs can be found in artifacts with path test/test-reports/test_quantization_4.4_5a314a1b9d52b2a7_.log
2025-03-14T04:54:05.7117882Z Running 0 items in this shard:
2025-03-14T04:54:05.7118103Z 
2025-03-14T04:54:05.7119795Z Running export/test_export_strict 1/1 ... [2025-03-14 04:54:05.711808]
2025-03-14T04:54:05.7120814Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:54:05.7124188Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_export_strict.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'] ... [2025-03-14 04:54:05.712196]
2025-03-14T04:54:12.6843540Z 
2025-03-14T04:54:12.6845169Z export/test_export_strict 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_export_strict_1.1_8cf0a192f253a168_.log
2025-03-14T04:54:12.6846414Z 
2025-03-14T04:54:12.6847681Z Running inductor/test_online_softmax 1/1 ... [2025-03-14 04:54:12.684549]
2025-03-14T04:54:12.6848505Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:54:12.6852468Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_online_softmax.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'] ... [2025-03-14 04:54:12.684933]
2025-03-14T04:54:19.3367388Z 
2025-03-14T04:54:19.3368382Z inductor/test_online_softmax 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_online_softmax_1.1_9741fc3cb92a7c5e_.log
2025-03-14T04:54:19.3369168Z 
2025-03-14T04:54:19.5780374Z Running inductor/test_compiled_autograd 1/1 ... [2025-03-14 04:54:19.563708]
2025-03-14T04:54:19.5966359Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:54:19.6374930Z Running dynamo/test_graph_deduplication 1/1 ... [2025-03-14 04:54:19.619967]
2025-03-14T04:54:19.6571431Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:54:19.7099167Z Running inductor/test_torchbind 1/1 ... [2025-03-14 04:54:19.693246]
2025-03-14T04:54:19.7288546Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:54:19.7405776Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_compiled_autograd.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'] ... [2025-03-14 04:54:19.739127]
2025-03-14T04:54:19.8036112Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_graph_deduplication.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'] ... [2025-03-14 04:54:19.802831]
2025-03-14T04:54:19.8665633Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:54:19.865778]
2025-03-14T04:54:23.4069727Z 
2025-03-14T04:54:23.4070887Z dynamo/test_graph_deduplication 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_graph_deduplication_1.1_b212f2d4ca419aed_.log
2025-03-14T04:54:23.4072049Z 
2025-03-14T04:54:23.7058422Z 
2025-03-14T04:54:23.7059924Z inductor/test_torchbind 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchbind_1.1_edcc32a48f766fe3_.log
2025-03-14T04:54:23.7061289Z 
2025-03-14T04:54:23.7497192Z Failed to upload artifacts: [Errno 2] No such file or directory: '/var/lib/jenkins/workspace/test/test-reports/inductor.test_torchbind_1.1_8tzs1efn_toprint.log'
2025-03-14T04:54:23.7498223Z Uploading artifacts took 0.30 seconds
2025-03-14T04:54:24.5342100Z Uploading artifacts took 0.78 seconds
2025-03-14T04:54:27.9941322Z 
2025-03-14T04:54:27.9942443Z inductor/test_compiled_autograd 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compiled_autograd_1.1_47f59a30accae32a_.log
2025-03-14T04:54:27.9951111Z 
2025-03-14T04:55:09.3651116Z Running dynamo/test_structured_trace 1/1 ... [2025-03-14 04:55:09.364718]
2025-03-14T04:55:09.3652301Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:55:09.3654535Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_structured_trace.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'] ... [2025-03-14 04:55:09.365113]
2025-03-14T04:55:09.6435609Z Running test_cuda_expandable_segments 1/1 ... [2025-03-14 04:55:09.643102]
2025-03-14T04:55:09.6436581Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:55:09.6443073Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:55:09.643846]
2025-03-14T04:55:11.9756892Z Running inductor/test_cpu_repro 1/1 ... [2025-03-14 04:55:11.975252]
2025-03-14T04:55:11.9757682Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:55:11.9760171Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_cpu_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'] ... [2025-03-14 04:55:11.975632]
2025-03-14T04:55:14.6252754Z 
2025-03-14T04:55:14.6254264Z 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_e0dca6cad0fdb330_.log
2025-03-14T04:55:14.6255052Z 
2025-03-14T04:55:16.5473170Z 
2025-03-14T04:55:16.5474518Z dynamo/test_structured_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_structured_trace_1.1_95c301e0ede721f3_.log
2025-03-14T04:55:16.5475492Z 
2025-03-14T04:55:18.3561792Z Running inductor/test_external_callables 1/1 ... [2025-03-14 04:55:18.355749]
2025-03-14T04:55:18.3562866Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:55:18.3565486Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_external_callables.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'] ... [2025-03-14 04:55:18.356106]
2025-03-14T04:55:19.6662800Z 
2025-03-14T04:55:19.6664412Z inductor/test_cpu_repro 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_repro_1.1_eba638d21a292c92_.log
2025-03-14T04:55:19.6665756Z 
2025-03-14T04:55:20.2150813Z Running inductor/test_cpp_wrapper_hipify 1/1 ... [2025-03-14 04:55:20.214671]
2025-03-14T04:55:20.2151773Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:55:20.2153430Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_cpp_wrapper_hipify.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'] ... [2025-03-14 04:55:20.215025]
2025-03-14T04:55:21.8930159Z 
2025-03-14T04:55:21.8931630Z inductor/test_external_callables 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_external_callables_1.1_28f4840a9ea47e2a_.log
2025-03-14T04:55:21.8932455Z 
2025-03-14T04:55:23.2980081Z Running inductor/test_cudacodecache 1/1 ... [2025-03-14 04:55:23.297595]
2025-03-14T04:55:23.2981020Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:55:23.2982611Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_cudacodecache.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'] ... [2025-03-14 04:55:23.297983]
2025-03-14T04:55:23.5290469Z 
2025-03-14T04:55:23.5291975Z inductor/test_cpp_wrapper_hipify 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpp_wrapper_hipify_1.1_dd1b797353e05438_.log
2025-03-14T04:55:23.5293651Z 
2025-03-14T04:55:25.5341120Z Running dynamo/test_fx_passes_pre_grad 1/1 ... [2025-03-14 04:55:25.533685]
2025-03-14T04:55:25.5342036Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:55:25.5344207Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_fx_passes_pre_grad.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'] ... [2025-03-14 04:55:25.534046]
2025-03-14T04:55:26.7553280Z 
2025-03-14T04:55:26.7554923Z inductor/test_cudacodecache 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cudacodecache_1.1_f2d68d8c9c68ebeb_.log
2025-03-14T04:55:26.7556486Z 
2025-03-14T04:55:27.0850032Z Running inductor/test_b2b_gemm 1/1 ... [2025-03-14 04:55:27.084568]
2025-03-14T04:55:27.0860338Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:55:27.0862563Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_b2b_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'] ... [2025-03-14 04:55:27.084950]
2025-03-14T04:55:29.0859050Z 
2025-03-14T04:55:29.0860606Z dynamo/test_fx_passes_pre_grad 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_fx_passes_pre_grad_1.1_07cf43ce5aac0f31_.log
2025-03-14T04:55:29.0861384Z 
2025-03-14T04:55:30.4383127Z Running export/test_unflatten_training_ir 1/1 ... [2025-03-14 04:55:30.437862]
2025-03-14T04:55:30.4384279Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:55:30.4390794Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_unflatten_training_ir.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'] ... [2025-03-14 04:55:30.438702]
2025-03-14T04:55:32.8344176Z Running export/test_export_training_ir_to_run_decomp 1/1 ... [2025-03-14 04:55:32.833945]
2025-03-14T04:55:32.8345200Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:55:32.8347374Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_export_training_ir_to_run_decomp.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'] ... [2025-03-14 04:55:32.834305]
2025-03-14T04:55:33.9813780Z 
2025-03-14T04:55:33.9815592Z export/test_unflatten_training_ir 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_unflatten_training_ir_1.1_7e91e72ab95a2a35_.log
2025-03-14T04:55:33.9817165Z 
2025-03-14T04:55:34.2328571Z 
2025-03-14T04:55:34.2329908Z inductor/test_b2b_gemm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_b2b_gemm_1.1_270bd56d8d4958f7_.log
2025-03-14T04:55:34.2331422Z 
2025-03-14T04:55:37.6920385Z Running inductor/test_op_completeness 1/1 ... [2025-03-14 04:55:37.691630]
2025-03-14T04:55:37.6920939Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:55:37.6924412Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_op_completeness.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'] ... [2025-03-14 04:55:37.692114]
2025-03-14T04:55:37.8692100Z Running inductor/test_smoke 1/1 ... [2025-03-14 04:55:37.868817]
2025-03-14T04:55:37.8692989Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:55:37.8695430Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_smoke.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'] ... [2025-03-14 04:55:37.869210]
2025-03-14T04:55:39.9304184Z 
2025-03-14T04:55:39.9306294Z export/test_export_training_ir_to_run_decomp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_export_training_ir_to_run_decomp_1.1_69e5cb93a7b6248f_.log
2025-03-14T04:55:39.9307211Z 
2025-03-14T04:55:41.4266129Z 
2025-03-14T04:55:41.4267639Z inductor/test_op_completeness 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_op_completeness_1.1_13c97d038a65e659_.log
2025-03-14T04:55:41.4268453Z 
2025-03-14T04:55:43.6767068Z Running inductor/test_utils 1/1 ... [2025-03-14 04:55:43.676244]
2025-03-14T04:55:43.6767914Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:55:43.6770099Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_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'] ... [2025-03-14 04:55:43.676625]
2025-03-14T04:55:45.2431679Z Running inductor/test_torchinductor_strided_blocks 1/1 ... [2025-03-14 04:55:45.242731]
2025-03-14T04:55:45.2432557Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:55:45.2434576Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:55:45.243104]
2025-03-14T04:55:45.3793936Z 
2025-03-14T04:55:45.3795467Z inductor/test_smoke 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_smoke_1.1_5c933745b4c97e1d_.log
2025-03-14T04:55:45.3796170Z 
2025-03-14T04:55:47.2020371Z 
2025-03-14T04:55:47.2021803Z inductor/test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_utils_1.1_8b862f73c9bf74ab_.log
2025-03-14T04:55:47.2023144Z 
2025-03-14T04:55:49.0388953Z Running inductor/test_aot_inductor_arrayref 1/1 ... [2025-03-14 04:55:49.038438]
2025-03-14T04:55:49.0389994Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:55:49.0392212Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_aot_inductor_arrayref.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'] ... [2025-03-14 04:55:49.038814]
2025-03-14T04:55:50.8950738Z Running inductor/test_ck_backend 1/1 ... [2025-03-14 04:55:50.894653]
2025-03-14T04:55:50.8951552Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:55:50.8953678Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_ck_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'] ... [2025-03-14 04:55:50.895029]
2025-03-14T04:55:52.6081893Z 
2025-03-14T04:55:52.6083991Z 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_e4a6ad80a9510eae_.log
2025-03-14T04:55:52.6085726Z 
2025-03-14T04:55:56.2778545Z Running inductor/test_pad_mm 1/1 ... [2025-03-14 04:55:56.277429]
2025-03-14T04:55:56.2779707Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:55:56.2781911Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_pad_mm.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'] ... [2025-03-14 04:55:56.277848]
2025-03-14T04:55:56.7259753Z 
2025-03-14T04:55:56.7266311Z inductor/test_aot_inductor_arrayref 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_arrayref_1.1_3fecc860cfef0ba1_.log
2025-03-14T04:55:56.7272714Z 
2025-03-14T04:55:58.2712476Z 
2025-03-14T04:55:58.2714018Z inductor/test_ck_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_ck_backend_1.1_60a9646e9c8f83a0_.log
2025-03-14T04:55:58.2715525Z 
2025-03-14T04:56:00.4574089Z Running dynamo/test_reconstruct 1/1 ... [2025-03-14 04:56:00.456969]
2025-03-14T04:56:00.4574753Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:56:00.4576509Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_reconstruct.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'] ... [2025-03-14 04:56:00.457312]
2025-03-14T04:56:01.8732539Z Running dynamo/test_base_output 1/1 ... [2025-03-14 04:56:01.872833]
2025-03-14T04:56:01.8733337Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:56:01.8735232Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_base_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'] ... [2025-03-14 04:56:01.873205]
2025-03-14T04:56:03.6435360Z 
2025-03-14T04:56:03.6436875Z inductor/test_pad_mm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_pad_mm_1.1_7b686146a18f0780_.log
2025-03-14T04:56:03.6438036Z 
2025-03-14T04:56:03.9501058Z 
2025-03-14T04:56:03.9502659Z dynamo/test_reconstruct 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_reconstruct_1.1_8196a96a162ace27_.log
2025-03-14T04:56:03.9504023Z 
2025-03-14T04:56:05.4057199Z 
2025-03-14T04:56:05.4058706Z dynamo/test_base_output 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_base_output_1.1_1017045ce720391a_.log
2025-03-14T04:56:05.4060033Z 
2025-03-14T04:56:07.3184319Z Running inductor/test_combo_kernels 1/1 ... [2025-03-14 04:56:07.317945]
2025-03-14T04:56:07.3185463Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:56:07.3187353Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_combo_kernels.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'] ... [2025-03-14 04:56:07.318340]
2025-03-14T04:56:07.6639247Z Running inductor/test_autoheuristic 1/1 ... [2025-03-14 04:56:07.663543]
2025-03-14T04:56:07.6639797Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:56:07.6641933Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_autoheuristic.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'] ... [2025-03-14 04:56:07.663918]
2025-03-14T04:56:09.0797531Z Running inductor/test_cooperative_reductions 1/1 ... [2025-03-14 04:56:09.079339]
2025-03-14T04:56:09.0798562Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:56:09.0800392Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_cooperative_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'] ... [2025-03-14 04:56:09.079726]
2025-03-14T04:56:14.7001045Z 
2025-03-14T04:56:14.7002412Z inductor/test_combo_kernels 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_combo_kernels_1.1_67bf6651db4e056d_.log
2025-03-14T04:56:14.7003251Z 
2025-03-14T04:56:16.0834650Z 
2025-03-14T04:56:16.0836195Z inductor/test_autoheuristic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_autoheuristic_1.1_fcddffe4ed122dbf_.log
2025-03-14T04:56:16.0837542Z 
2025-03-14T04:56:17.6372325Z 
2025-03-14T04:56:17.6373535Z inductor/test_cooperative_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cooperative_reductions_1.1_28ad4013202e4115_.log
2025-03-14T04:56:17.6374765Z 
2025-03-14T04:56:18.3722552Z Running export/test_export_legacy 1/1 ... [2025-03-14 04:56:18.371892]
2025-03-14T04:56:18.3723178Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:56:18.3726506Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_export_legacy.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'] ... [2025-03-14 04:56:18.372277]
2025-03-14T04:56:19.7761347Z Running inductor/test_coordinate_descent_tuner 1/1 ... [2025-03-14 04:56:19.775695]
2025-03-14T04:56:19.7762392Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:56:19.7764667Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_coordinate_descent_tuner.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'] ... [2025-03-14 04:56:19.776099]
2025-03-14T04:56:21.2464888Z Running test_hop_infra 1/1 ... [2025-03-14 04:56:21.246101]
2025-03-14T04:56:21.2465488Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:56:21.2467287Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_hop_infra.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'] ... [2025-03-14 04:56:21.246458]
2025-03-14T04:56:25.5675904Z 
2025-03-14T04:56:25.5677276Z test_hop_infra 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_hop_infra_1.1_d1e947d7f6f55824_.log
2025-03-14T04:56:25.5679850Z Running 3 items in this shard: test/test_hop_infra.py::TestHOPInfra::test_all_hops_are_imported, test/test_hop_infra.py::TestHOPInfra::test_all_hops_have_opinfo, test/test_hop_infra.py::TestHOPInfra::test_imports_from_all_work
2025-03-14T04:56:25.5681405Z 
2025-03-14T04:56:25.7789357Z 
2025-03-14T04:56:25.7790710Z export/test_export_legacy 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_export_legacy_1.1_afb6a71b0e854d75_.log
2025-03-14T04:56:25.7791685Z 
2025-03-14T04:56:27.3450650Z 
2025-03-14T04:56:27.3452631Z inductor/test_coordinate_descent_tuner 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_coordinate_descent_tuner_1.1_cc68c539aeec28a4_.log
2025-03-14T04:56:27.3454304Z 
2025-03-14T04:56:29.2999958Z Running dynamo/test_utils 1/1 ... [2025-03-14 04:56:29.299570]
2025-03-14T04:56:29.3000544Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:56:29.3002293Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_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'] ... [2025-03-14 04:56:29.299908]
2025-03-14T04:56:29.5025970Z Running backends/xeon/test_launch 1/1 ... [2025-03-14 04:56:29.502148]
2025-03-14T04:56:29.5027060Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:56:29.5029957Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:56:29.502519]
2025-03-14T04:56:30.9475426Z Running inductor/test_flex_decoding 1/1 ... [2025-03-14 04:56:30.947081]
2025-03-14T04:56:30.9476347Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:56:30.9478428Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_flex_decoding.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'] ... [2025-03-14 04:56:30.947428]
2025-03-14T04:56:32.7584669Z 
2025-03-14T04:56:32.7586192Z dynamo/test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_utils_1.1_b1c00191a5e885bb_.log
2025-03-14T04:56:32.7587493Z 
2025-03-14T04:56:34.5660961Z 
2025-03-14T04:56:34.5662610Z inductor/test_flex_decoding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_decoding_1.1_48bd74891c5c864d_.log
2025-03-14T04:56:34.5664125Z 
2025-03-14T04:56:34.9253974Z 
2025-03-14T04:56:34.9255498Z 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_8674c3a6a7c1d78f_.log
2025-03-14T04:56:34.9256922Z 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
2025-03-14T04:56:34.9257672Z 
2025-03-14T04:56:36.5266026Z Running export/test_cpp_serdes 1/1 ... [2025-03-14 04:56:36.526155]
2025-03-14T04:56:36.5266789Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:56:36.5268825Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_cpp_serdes.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'] ... [2025-03-14 04:56:36.526507]
2025-03-14T04:56:38.2213917Z Running test_openmp 1/1 ... [2025-03-14 04:56:38.220960]
2025-03-14T04:56:38.2214612Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:56:38.2216329Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:56:38.221318]
2025-03-14T04:56:38.5374568Z Running test_ao_sparsity 1/1 ... [2025-03-14 04:56:38.537074]
2025-03-14T04:56:38.5375350Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:56:38.5377234Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_ao_sparsity.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'] ... [2025-03-14 04:56:38.537446]
2025-03-14T04:56:44.5684229Z 
2025-03-14T04:56:44.5685884Z export/test_cpp_serdes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_cpp_serdes_1.1_8fde606046bc6b09_.log
2025-03-14T04:56:44.5687452Z 
2025-03-14T04:56:48.5604553Z Running test_foreach 1/1 ... [2025-03-14 04:56:48.560034]
2025-03-14T04:56:48.5606990Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:56:48.5609228Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_foreach.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'] ... [2025-03-14 04:56:48.560441]
2025-03-14T04:56:49.5104939Z 
2025-03-14T04:56:49.5106292Z test_openmp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_openmp_1.1_7464371017740682_.log
2025-03-14T04:56:49.5108280Z Running 2 items in this shard: test/test_openmp.py::TestOpenMP_ParallelFor::test_n_threads, test/test_openmp.py::TestOpenMP_ParallelFor::test_one_thread
2025-03-14T04:56:49.5109608Z 
2025-03-14T04:56:53.1284924Z 
2025-03-14T04:56:53.1286080Z test_ao_sparsity 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_ao_sparsity_1.1_f74dc8048d8694e4_.log
2025-03-14T04:56:53.1316455Z Running 88 items in this shard: test/test_ao_sparsity.py::TestQuantizedSparseKernels::test_sparse_qlinear, test/test_ao_sparsity.py::TestQuantizedSparseLayers::test_sparse_qlinear, test/test_ao_sparsity.py::TestQuantizedSparseLayers::test_sparse_qlinear_serdes, test/test_ao_sparsity.py::TestFakeSparsity::test_jit_trace, test/test_ao_sparsity.py::TestFakeSparsity::test_masking_logic, test/test_ao_sparsity.py::TestFakeSparsity::test_state_dict_preserved, test/test_ao_sparsity.py::TestFakeSparsity::test_weights_parametrized, test/test_ao_sparsity.py::TestCubicScheduler::test_constructor, test/test_ao_sparsity.py::TestCubicScheduler::test_step, test/test_ao_sparsity.py::TestScheduler::test_constructor, test/test_ao_sparsity.py::TestScheduler::test_lambda_scheduler, test/test_ao_sparsity.py::TestScheduler::test_order_of_steps, test/test_ao_sparsity.py::TestScheduler::test_step, test/test_ao_sparsity.py::TestBaseSparsifier::test_constructor, test/test_ao_sparsity.py::TestBaseSparsifier::test_convert, test/test_ao_sparsity.py::TestBaseSparsifier::test_mask_squash, test/test_ao_sparsity.py::TestBaseSparsifier::test_mask_squash_with_params1, test/test_ao_sparsity.py::TestBaseSparsifier::test_mask_squash_with_params2, test/test_ao_sparsity.py::TestBaseSparsifier::test_mask_squash_with_params3, test/test_ao_sparsity.py::TestBaseSparsifier::test_prepare_config, test/test_ao_sparsity.py::TestBaseSparsifier::test_state_dict, test/test_ao_sparsity.py::TestBaseSparsifier::test_step, test/test_ao_sparsity.py::TestNearlyDiagonalSparsifier::test_constructor, test/test_ao_sparsity.py::TestNearlyDiagonalSparsifier::test_mask_squash, test/test_ao_sparsity.py::TestNearlyDiagonalSparsifier::test_prepare, test/test_ao_sparsity.py::TestNearlyDiagonalSparsifier::test_sparsity_levels, test/test_ao_sparsity.py::TestNearlyDiagonalSparsifier::test_step, test/test_ao_sparsity.py::TestWeightNormSparsifier::test_constructor, test/test_ao_sparsity.py::TestWeightNormSparsifier::test_mask_squash, test/test_ao_sparsity.py::TestWeightNormSparsifier::test_prepare, test/test_ao_sparsity.py::TestWeightNormSparsifier::test_sparsity_levels, test/test_ao_sparsity.py::TestWeightNormSparsifier::test_step, test/test_ao_sparsity.py::TestWeightNormSparsifier::test_step_2_of_4, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_complex_conv2d, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_constructor, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_prepare_conv2d, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_prepare_linear, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_prune_conv2d_activation_conv2d, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_prune_conv2d_bias_conv2d, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_prune_conv2d_conv2d, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_prune_conv2d_padding_conv2d, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_prune_conv2d_pool_conv2d, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_prune_linear_activation_linear, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_prune_linear_bias_linear, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_prune_linear_linear, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_prune_lstm_layernorm_linear_multiple_layer, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_prune_lstm_layernorm_linear_single_layer, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_prune_lstm_linear_multiple_layer, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_prune_lstm_linear_single_layer, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_step_conv2d, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_step_linear, test/test_ao_sparsity.py::TestFPGMPruner::test_compute_distance, test/test_ao_sparsity.py::TestFPGMPruner::test_update_mask, test/test_ao_sparsity.py::TestSaliencyPruner::test_lstm_saliency_pruner_update_mask, test/test_ao_sparsity.py::TestSaliencyPruner::test_saliency_pruner_update_mask, test/test_ao_sparsity.py::TestComposability::test_convert_without_squash_mask, test/test_ao_sparsity.py::TestComposability::test_fusion_before_s_prep, test/test_ao_sparsity.py::TestComposability::test_q_prep_before_s_prep, test/test_ao_sparsity.py::TestComposability::test_qat_prep_before_s_prep, test/test_ao_sparsity.py::TestComposability::test_s_prep_before_fusion, test/test_ao_sparsity.py::TestComposability::test_s_prep_before_q_prep, test/test_ao_sparsity.py::TestComposability::test_s_prep_before_qat_prep, test/test_ao_sparsity.py::TestFxComposability::test_q_prep_fx_before_s_prep, test/test_ao_sparsity.py::TestFxComposability::test_q_prep_fx_s_prep_ref_conv, test/test_ao_sparsity.py::TestFxComposability::test_s_prep_before_q_prep_fx, test/test_ao_sparsity.py::TestFxComposability::test_s_prep_before_qat_prep_fx, test/test_ao_sparsity.py::TestFxComposability::test_s_prep_q_prep_fx_ref, test/test_ao_sparsity.py::TestActivationSparsifier::test_activation_sparsifier, test/test_ao_sparsity.py::TestBaseDataScheduler::test_constructor, test/test_ao_sparsity.py::TestBaseDataScheduler::test_order_of_steps, test/test_ao_sparsity.py::TestBaseDataScheduler::test_state_dict, test/test_ao_sparsity.py::TestBaseDataScheduler::test_step, test/test_ao_sparsity.py::TestBaseDataSparsifier::test_nn_embeddings, test/test_ao_sparsity.py::TestBaseDataSparsifier::test_nn_parameters, test/test_ao_sparsity.py::TestBaseDataSparsifier::test_tensors, test/test_ao_sparsity.py::TestNormDataSparsifiers::test_nn_embeddings, test/test_ao_sparsity.py::TestNormDataSparsifiers::test_nn_parameters, test/test_ao_sparsity.py::TestNormDataSparsifiers::test_tensors, test/test_ao_sparsity.py::TestQuantizationUtils::test_ptq_quantize_first, test/test_ao_sparsity.py::TestQuantizationUtils::test_ptq_sparsify_first, test/test_ao_sparsity.py::TestSparsityUtilFunctions::test_fqn_to_module, test/test_ao_sparsity.py::TestSparsityUtilFunctions::test_fqn_to_module_fail, test/test_ao_sparsity.py::TestSparsityUtilFunctions::test_fqn_to_module_for_tensors, test/test_ao_sparsity.py::TestSparsityUtilFunctions::test_get_arg_info_from_tensor_fqn, test/test_ao_sparsity.py::TestSparsityUtilFunctions::test_get_arg_info_from_tensor_fqn_fail, test/test_ao_sparsity.py::TestSparsityUtilFunctions::test_module_to_fqn, test/test_ao_sparsity.py::TestSparsityUtilFunctions::test_module_to_fqn_fail, test/test_ao_sparsity.py::TestSparsityUtilFunctions::test_module_to_fqn_root
2025-03-14T04:56:53.1345049Z 
2025-03-14T04:56:53.8105902Z Running dynamo/test_pre_dispatch 1/1 ... [2025-03-14 04:56:53.810204]
2025-03-14T04:56:53.8106532Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:56:53.8108476Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_pre_dispatch.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'] ... [2025-03-14 04:56:53.810587]
2025-03-14T04:56:56.7058186Z Running inductor/test_codegen_triton 1/1 ... [2025-03-14 04:56:56.705381]
2025-03-14T04:56:56.7058903Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:56:56.7060496Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:56:56.705743]
2025-03-14T04:56:57.3273662Z 
2025-03-14T04:56:57.3274733Z dynamo/test_pre_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_pre_dispatch_1.1_a2d10c8d36e18c2c_.log
2025-03-14T04:56:57.3275556Z 
2025-03-14T04:57:00.8531294Z Running test_file_check 1/1 ... [2025-03-14 04:57:00.852700]
2025-03-14T04:57:00.8532282Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:57:00.8534293Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_file_check.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'] ... [2025-03-14 04:57:00.853084]
2025-03-14T04:57:04.0504109Z 
2025-03-14T04:57:04.0505282Z 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_5d65af63ebd4a56e_.log
2025-03-14T04:57:04.0506346Z 
2025-03-14T04:57:06.0348740Z 
2025-03-14T04:57:06.0350315Z test_file_check 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_file_check_1.1_072fda39b6a9a919_.log
2025-03-14T04:57:06.0352615Z Running 2 items in this shard: test/test_file_check.py::TestFileCheck::test_all_python_api, test/test_file_check.py::TestFileCheck::test_not_run
2025-03-14T04:57:06.0353977Z 
2025-03-14T04:57:07.6630742Z Running inductor/test_config 1/1 ... [2025-03-14 04:57:07.662698]
2025-03-14T04:57:07.6631598Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:57:07.6634147Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/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'] ... [2025-03-14 04:57:07.663048]
2025-03-14T04:57:09.6150030Z Running inductor/test_foreach 1/1 ... [2025-03-14 04:57:09.614547]
2025-03-14T04:57:09.6150984Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:57:09.6154525Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_foreach.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'] ... [2025-03-14 04:57:09.614916]
2025-03-14T04:57:14.7560677Z 
2025-03-14T04:57:14.7562015Z inductor/test_config 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_config_1.1_a97ff71ca6632b9a_.log
2025-03-14T04:57:14.7562938Z 
2025-03-14T04:57:17.1435783Z 
2025-03-14T04:57:17.1437577Z inductor/test_foreach 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_foreach_1.1_c69d7d34281ed1f1_.log
2025-03-14T04:57:17.1439300Z 
2025-03-14T04:57:18.3725860Z Running test_flop_counter 1/1 ... [2025-03-14 04:57:18.372147]
2025-03-14T04:57:18.3726610Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:57:18.3728870Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_flop_counter.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'] ... [2025-03-14 04:57:18.372503]
2025-03-14T04:57:20.7603415Z Running inductor/test_aot_inductor 1/1 ... [2025-03-14 04:57:20.759921]
2025-03-14T04:57:20.7604154Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:57:20.7605807Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_aot_inductor.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'] ... [2025-03-14 04:57:20.760275]
2025-03-14T04:57:23.1439482Z 
2025-03-14T04:57:23.1440752Z test_flop_counter 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_flop_counter_1.1_2811c65471870363_.log
2025-03-14T04:57:23.1451795Z Running 22 items in this shard: test/test_flop_counter.py::TestFlopCounter::test_addmm_out, test/test_flop_counter.py::TestFlopCounter::test_autograd_op, test/test_flop_counter.py::TestFlopCounter::test_backward, test/test_flop_counter.py::TestFlopCounter::test_backward_reset, test/test_flop_counter.py::TestFlopCounter::test_conv_backwards_as_decomposition, test/test_flop_counter.py::TestFlopCounter::test_conv_transpose_loop, test/test_flop_counter.py::TestFlopCounter::test_convs, test/test_flop_counter.py::TestFlopCounter::test_custom, test/test_flop_counter.py::TestFlopCounter::test_custom_op, test/test_flop_counter.py::TestFlopCounter::test_flop_counter_variety, test/test_flop_counter.py::TestFlopCounter::test_hook_registration, test/test_flop_counter.py::TestFlopCounter::test_inference_mode, test/test_flop_counter.py::TestFlopCounter::test_module, test/test_flop_counter.py::TestFlopCounter::test_nested_attention_fake_tensors, test/test_flop_counter.py::TestFlopCounter::test_noop, test/test_flop_counter.py::TestFlopCounter::test_op, test/test_flop_counter.py::TestFlopCounter::test_pytrees, test/test_flop_counter.py::TestFlopCounter::test_scaled_mm, test/test_flop_counter.py::TestFlopCounter::test_sdpa, test/test_flop_counter.py::TestFlopCounter::test_sdpa_nested_tensor, test/test_flop_counter.py::TestFlopCounter::test_torchscript, test/test_flop_counter.py::TestFlopCounter::test_warning
2025-03-14T04:57:23.1462075Z 
2025-03-14T04:57:26.8025677Z Running profiler/test_kineto 1/1 ... [2025-03-14 04:57:26.802181]
2025-03-14T04:57:26.8026580Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:57:26.8029000Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'profiler/test_kineto.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'] ... [2025-03-14 04:57:26.802564]
2025-03-14T04:57:28.5655612Z 
2025-03-14T04:57:28.5657019Z inductor/test_aot_inductor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_1.1_0502b93415b2d691_.log
2025-03-14T04:57:28.5657805Z 
2025-03-14T04:57:32.1094239Z Running test_proxy_tensor 1/2 ... [2025-03-14 04:57:32.108971]
2025-03-14T04:57:32.1094838Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:57:32.1096437Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_proxy_tensor.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'] ... [2025-03-14 04:57:32.109326]
2025-03-14T04:57:41.6393399Z 
2025-03-14T04:57:41.6395000Z profiler/test_kineto 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_kineto_1.1_444f668d3f6137f1_.log
2025-03-14T04:57:41.6397301Z Running 1 items in this shard: test/profiler/test_kineto.py::SimpleKinetoInitializationTest::test_kineto_profiler_with_environment_variable
2025-03-14T04:57:41.6399007Z 
2025-03-14T04:57:45.3448867Z Running dynamo/test_pgo 1/1 ... [2025-03-14 04:57:45.344410]
2025-03-14T04:57:45.3449680Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:57:45.3451768Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_pgo.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'] ... [2025-03-14 04:57:45.344788]
2025-03-14T04:57:48.8682646Z 
2025-03-14T04:57:48.8684208Z dynamo/test_pgo 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_pgo_1.1_4d46f72e4181aca8_.log
2025-03-14T04:57:48.8685615Z 
2025-03-14T04:57:52.7243264Z Running inductor/test_aot_inductor_custom_ops 1/1 ... [2025-03-14 04:57:52.723881]
2025-03-14T04:57:52.7244173Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:57:52.7246368Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_aot_inductor_custom_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'] ... [2025-03-14 04:57:52.724262]
2025-03-14T04:58:00.3810865Z 
2025-03-14T04:58:00.3813331Z inductor/test_aot_inductor_custom_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_custom_ops_1.1_c2db6a59125568d5_.log
2025-03-14T04:58:00.3814817Z 
2025-03-14T04:58:03.9771126Z Running inductor/test_kernel_benchmark 1/1 ... [2025-03-14 04:58:03.976623]
2025-03-14T04:58:03.9772358Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:58:03.9774713Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:58:03.977057]
2025-03-14T04:58:11.1572591Z 
2025-03-14T04:58:11.1574332Z 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_fc55dc78ed6b1421_.log
2025-03-14T04:58:11.1575746Z 
2025-03-14T04:58:14.6948078Z Running inductor/test_aot_inductor_utils 1/1 ... [2025-03-14 04:58:14.694299]
2025-03-14T04:58:14.6948926Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:58:14.6951109Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:58:14.694684]
2025-03-14T04:58:22.2694779Z 
2025-03-14T04:58:22.2696776Z 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_77bd6e64689dccb2_.log
2025-03-14T04:58:22.2783111Z 
2025-03-14T04:58:25.8701167Z Running inductor/test_cpu_cpp_wrapper 1/1 ... [2025-03-14 04:58:25.869356]
2025-03-14T04:58:25.8701811Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:58:25.8703024Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:58:25.869779]
2025-03-14T04:58:33.9054750Z 
2025-03-14T04:58:33.9056246Z 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_f54cf9cd2d11a59a_.log
2025-03-14T04:58:33.9057117Z 
2025-03-14T04:58:37.4284787Z Running dynamo/test_config 1/1 ... [2025-03-14 04:58:37.428086]
2025-03-14T04:58:37.4285547Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:58:37.4288075Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:58:37.428437]
2025-03-14T04:58:39.7262552Z 
2025-03-14T04:58:39.7263704Z test_foreach 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_foreach_1.1_b5c27189c2d1d554_.log
2025-03-14T04:58:39.8758761Z Running 3564 items in this shard: test/test_foreach.py::TestForeachCPU::test_0dim_tensor_overload_cpu_ok_cpu, test/test_foreach.py::TestForeachCPU::test_0dim_tensor_overload_exception_cpu, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_float16, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_float32, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_float64, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_int16, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_int32, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_int64, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_int8, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_abs_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_acos_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_add_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_addcdiv_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_addcmul_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_asin_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_atan_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_ceil_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_clamp_max_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_clamp_min_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_copy_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_cos_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_cosh_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_div_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_erf_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_erfc_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_exp_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_expm1_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_floor_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_frac_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_lerp_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_lgamma_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_log10_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_log1p_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_log2_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_log_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_max_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_maximum_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_minimum_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_mul_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_neg_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_norm_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_pow_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_reciprocal_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_round_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_rsqrt_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_sigmoid_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_sign_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_sin_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_sinh_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_sqrt_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_sub_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_tan_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_tanh_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_trunc_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_zero_cpu_float32, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_abs_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_abs_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_abs_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_abs_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_acos_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_acos_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_acos_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_acos_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_add_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_add_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_add_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_add_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_addcdiv_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_addcdiv_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_addcdiv_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_addcdiv_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_addcmul_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_addcmul_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_addcmul_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_addcmul_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_asin_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_asin_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_asin_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_asin_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_atan_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_atan_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_atan_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_atan_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_ceil_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_ceil_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_ceil_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_ceil_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_clamp_max_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_clamp_max_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_clamp_max_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_clamp_max_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_clamp_min_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_clamp_min_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_clamp_min_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_clamp_min_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_copy_inplace_cpu_complex128, 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test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_rsqrt_cpu_int8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_rsqrt_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sigmoid_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sigmoid_cpu_bool, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sigmoid_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sigmoid_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sigmoid_cpu_float16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sigmoid_cpu_float32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sigmoid_cpu_float64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sigmoid_cpu_int16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sigmoid_cpu_int32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sigmoid_cpu_int64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sigmoid_cpu_int8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sigmoid_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sign_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sign_cpu_bool, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sign_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sign_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sign_cpu_float16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sign_cpu_float32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sign_cpu_float64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sign_cpu_int16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sign_cpu_int32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sign_cpu_int64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sign_cpu_int8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sign_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sin_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sin_cpu_bool, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sin_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sin_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sin_cpu_float16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sin_cpu_float32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sin_cpu_float64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sin_cpu_int16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sin_cpu_int32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sin_cpu_int64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sin_cpu_int8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sin_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sinh_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sinh_cpu_bool, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sinh_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sinh_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sinh_cpu_float16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sinh_cpu_float32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sinh_cpu_float64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sinh_cpu_int16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sinh_cpu_int32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sinh_cpu_int64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sinh_cpu_int8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sinh_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sqrt_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sqrt_cpu_bool, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sqrt_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sqrt_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sqrt_cpu_float16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sqrt_cpu_float32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sqrt_cpu_float64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sqrt_cpu_int16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sqrt_cpu_int32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sqrt_cpu_int64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sqrt_cpu_int8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sqrt_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tan_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tan_cpu_bool, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tan_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tan_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tan_cpu_float16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tan_cpu_float32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tan_cpu_float64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tan_cpu_int16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tan_cpu_int32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tan_cpu_int64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tan_cpu_int8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tan_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tanh_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tanh_cpu_bool, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tanh_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tanh_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tanh_cpu_float16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tanh_cpu_float32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tanh_cpu_float64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tanh_cpu_int16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tanh_cpu_int32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tanh_cpu_int64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tanh_cpu_int8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tanh_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_bool, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_float16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_float32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_float64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_int16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_int32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_int64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_int8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_bool, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_float16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_float32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_float64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_int16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_int32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_int64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_int8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_uint8
2025-03-14T04:58:40.0213384Z 
2025-03-14T04:58:41.0695403Z 
2025-03-14T04:58:41.0696860Z dynamo/test_config 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_config_1.1_da05ddfcc4d2991e_.log
2025-03-14T04:58:41.0698168Z 
2025-03-14T04:58:43.3822368Z Running inductor/test_multi_kernel 1/1 ... [2025-03-14 04:58:43.381777]
2025-03-14T04:58:43.3823323Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:58:43.3825373Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_multi_kernel.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'] ... [2025-03-14 04:58:43.382191]
2025-03-14T04:58:44.6547557Z Running test_jiterator 1/1 ... [2025-03-14 04:58:44.654311]
2025-03-14T04:58:44.6548261Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:58:44.6550549Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_jiterator.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'] ... [2025-03-14 04:58:44.654675]
2025-03-14T04:58:48.5961590Z 
2025-03-14T04:58:48.5963064Z test_jiterator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jiterator_1.1_c3feea4e7a86ecc7_.log
2025-03-14T04:58:48.5964585Z Running 0 items in this shard:
2025-03-14T04:58:48.5964970Z 
2025-03-14T04:58:50.7496875Z 
2025-03-14T04:58:50.7499352Z inductor/test_multi_kernel 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_multi_kernel_1.1_f50d6095fa91f93e_.log
2025-03-14T04:58:50.7500748Z 
2025-03-14T04:58:52.1730892Z Running inductor/test_decompose_mem_bound_mm 1/1 ... [2025-03-14 04:58:52.172630]
2025-03-14T04:58:52.1731823Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:58:52.1735795Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_decompose_mem_bound_mm.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'] ... [2025-03-14 04:58:52.173175]
2025-03-14T04:58:54.4189345Z Running inductor/test_pattern_matcher 1/1 ... [2025-03-14 04:58:54.418498]
2025-03-14T04:58:54.4190291Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:58:54.4193360Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_pattern_matcher.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'] ... [2025-03-14 04:58:54.418860]
2025-03-14T04:58:59.7491144Z 
2025-03-14T04:58:59.7492945Z inductor/test_decompose_mem_bound_mm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_decompose_mem_bound_mm_1.1_c27f064f3b4d4071_.log
2025-03-14T04:58:59.7494897Z 
2025-03-14T04:59:01.7136615Z 
2025-03-14T04:59:01.7138087Z inductor/test_pattern_matcher 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_pattern_matcher_1.1_77e5d80a9a352644_.log
2025-03-14T04:59:01.7139452Z 
2025-03-14T04:59:03.7976708Z Running inductor/test_fp8 1/1 ... [2025-03-14 04:59:03.796643]
2025-03-14T04:59:03.7977614Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:59:03.7979731Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_fp8.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'] ... [2025-03-14 04:59:03.797159]
2025-03-14T04:59:05.3397921Z Running inductor/test_aot_inductor_package 1/1 ... [2025-03-14 04:59:05.338882]
2025-03-14T04:59:05.3398486Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:59:05.3399979Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_aot_inductor_package.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'] ... [2025-03-14 04:59:05.339274]
2025-03-14T04:59:12.1523452Z 
2025-03-14T04:59:12.1525065Z inductor/test_fp8 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_fp8_1.1_c5448da07472a1c7_.log
2025-03-14T04:59:12.1526304Z 
2025-03-14T04:59:14.5096243Z 
2025-03-14T04:59:14.5098056Z inductor/test_aot_inductor_package 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_package_1.1_5f454c6d892a4e51_.log
2025-03-14T04:59:14.5099631Z 
2025-03-14T04:59:16.5001822Z Running inductor/test_cpu_select_algorithm 1/1 ... [2025-03-14 04:59:16.499764]
2025-03-14T04:59:16.5002564Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:59:16.5004486Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_cpu_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'] ... [2025-03-14 04:59:16.500152]
2025-03-14T04:59:18.0603508Z Running dynamo/test_graph_region_tracker 1/1 ... [2025-03-14 04:59:18.059908]
2025-03-14T04:59:18.0604940Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:59:18.0610463Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_graph_region_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'] ... [2025-03-14 04:59:18.060326]
2025-03-14T04:59:21.6905013Z 
2025-03-14T04:59:21.6906578Z dynamo/test_graph_region_tracker 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_graph_region_tracker_1.1_698c64e3d7be6068_.log
2025-03-14T04:59:21.6907869Z 
2025-03-14T04:59:24.5954716Z 
2025-03-14T04:59:24.5956313Z inductor/test_cpu_select_algorithm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_select_algorithm_1.1_9ed1d299cd7d5b28_.log
2025-03-14T04:59:24.5957764Z 
2025-03-14T04:59:25.3884751Z Running functorch/test_logging 1/1 ... [2025-03-14 04:59:25.388061]
2025-03-14T04:59:25.3885302Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:59:25.3887509Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_logging.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'] ... [2025-03-14 04:59:25.388403]
2025-03-14T04:59:28.4233745Z Running inductor/test_benchmarking 1/1 ... [2025-03-14 04:59:28.422952]
2025-03-14T04:59:28.4234594Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:59:28.4236464Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_benchmarking.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'] ... [2025-03-14 04:59:28.423332]
2025-03-14T04:59:29.5095802Z 
2025-03-14T04:59:29.5097412Z functorch/test_logging 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_logging_1.1_8097237dff860cc5_.log
2025-03-14T04:59:29.5099112Z Running 1 items in this shard: test/functorch/test_logging.py::TestAOTLogging::test_logging
2025-03-14T04:59:29.5099900Z 
2025-03-14T04:59:33.4418379Z Running torch_np/test_dtype 1/1 ... [2025-03-14 04:59:33.441401]
2025-03-14T04:59:33.4419126Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:59:33.4421246Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/test_dtype.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'] ... [2025-03-14 04:59:33.441780]
2025-03-14T04:59:35.7546657Z 
2025-03-14T04:59:35.7548334Z inductor/test_benchmarking 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_benchmarking_1.1_9080fe706d0c9325_.log
2025-03-14T04:59:35.7549840Z 
2025-03-14T04:59:37.6196824Z 
2025-03-14T04:59:37.6198117Z torch_np/test_dtype 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_dtype_1.1_e843e04685ff0c58_.log
2025-03-14T04:59:37.6224208Z Running 44 items in this shard: test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_'bool_', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_'complex128', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_'complex64', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_'float16', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_'float32', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_'float64', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_'int16', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_'int32', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_'int64', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_'int8', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_'uint16', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_'uint32', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_'uint64', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_'uint8', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_bool, test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.'bool_', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.'complex128', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.'complex64', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.'float16', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.'float32', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.'float64', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.'int16', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.'int32', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.'int64', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.'int8', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.'uint16', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.'uint32', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.'uint64', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.'uint8', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.bool_, test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.complex128, test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.complex64, test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.dtype('bool'), test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.float16, test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.float32, test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.float64, test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.int16, test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.int32, test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.int64, test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.int8, test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.uint16, test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.uint32, test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.uint64, test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.uint8
2025-03-14T04:59:37.6261127Z 
2025-03-14T04:59:39.4894147Z Running dynamo/test_nops 1/1 ... [2025-03-14 04:59:39.489025]
2025-03-14T04:59:39.4894640Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:59:39.4897255Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_nops.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'] ... [2025-03-14 04:59:39.489454]
2025-03-14T04:59:41.1684983Z Running inductor/test_block_analysis 1/1 ... [2025-03-14 04:59:41.168101]
2025-03-14T04:59:41.1685948Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:59:41.1688505Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:59:41.168427]
2025-03-14T04:59:42.9677394Z 
2025-03-14T04:59:42.9678661Z dynamo/test_nops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_nops_1.1_a72a42ace61e3246_.log
2025-03-14T04:59:42.9679319Z 
2025-03-14T04:59:46.7057103Z Running dynamo/test_sources 1/1 ... [2025-03-14 04:59:46.705287]
2025-03-14T04:59:46.7057989Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:59:46.7060196Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_sources.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'] ... [2025-03-14 04:59:46.705631]
2025-03-14T04:59:48.6445723Z 
2025-03-14T04:59:48.6447376Z 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_d48df7b2c7f963ac_.log
2025-03-14T04:59:48.6457844Z 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
2025-03-14T04:59:48.6467915Z 
2025-03-14T04:59:50.6546239Z 
2025-03-14T04:59:50.6547946Z dynamo/test_sources 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_sources_1.1_c5c90066f4988e03_.log
2025-03-14T04:59:50.6549594Z 
2025-03-14T04:59:52.9624284Z Running inductor/test_fuzzer 1/1 ... [2025-03-14 04:59:52.961997]
2025-03-14T04:59:52.9624926Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:59:52.9626531Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 04:59:52.962355]
2025-03-14T04:59:54.7215021Z Running dynamo/test_recompiles 1/1 ... [2025-03-14 04:59:54.721077]
2025-03-14T04:59:54.7215843Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T04:59:54.7218289Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_recompiles.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'] ... [2025-03-14 04:59:54.721478]
2025-03-14T04:59:58.1940701Z 
2025-03-14T04:59:58.1942287Z dynamo/test_recompiles 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_recompiles_1.1_80e11e499443463d_.log
2025-03-14T04:59:58.1943682Z 
2025-03-14T05:00:00.0026450Z 
2025-03-14T05:00:00.0027883Z inductor/test_fuzzer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_fuzzer_1.1_68eba33a233888ce_.log
2025-03-14T05:00:00.0028988Z 
2025-03-14T05:00:01.9697689Z Running test_namedtensor 1/1 ... [2025-03-14 05:00:01.969389]
2025-03-14T05:00:01.9698318Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:00:01.9700614Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_namedtensor.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'] ... [2025-03-14 05:00:01.969745]
2025-03-14T05:00:03.6641713Z Running dynamo/test_optimizers 1/1 ... [2025-03-14 05:00:03.663742]
2025-03-14T05:00:03.6642491Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:00:03.6644321Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_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'] ... [2025-03-14 05:00:03.664109]
2025-03-14T05:00:06.3911748Z 
2025-03-14T05:00:06.3913236Z test_namedtensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_namedtensor_1.1_da6e2f31d6f5b16a_.log
2025-03-14T05:00:06.3938488Z Running 88 items in this shard: test/test_namedtensor.py::TestNamedTensor::test_aaa_must_run_first_check_experimental_warning, test/test_namedtensor.py::TestNamedTensor::test_addcmul_addcdiv, test/test_namedtensor.py::TestNamedTensor::test_addmm, test/test_namedtensor.py::TestNamedTensor::test_addmv, test/test_namedtensor.py::TestNamedTensor::test_align_as, test/test_namedtensor.py::TestNamedTensor::test_align_tensors, test/test_namedtensor.py::TestNamedTensor::test_align_tensors_two_inputs, test/test_namedtensor.py::TestNamedTensor::test_align_to, test/test_namedtensor.py::TestNamedTensor::test_align_to_ellipsis, test/test_namedtensor.py::TestNamedTensor::test_any_all, test/test_namedtensor.py::TestNamedTensor::test_as_strided, test/test_namedtensor.py::TestNamedTensor::test_as_strided_cuda, test/test_namedtensor.py::TestNamedTensor::test_autograd_ignores_names, test/test_namedtensor.py::TestNamedTensor::test_autograd_smoke, test/test_namedtensor.py::TestNamedTensor::test_autograd_warns_named_grad, test/test_namedtensor.py::TestNamedTensor::test_bernoulli, test/test_namedtensor.py::TestNamedTensor::test_big_tensor_repr_has_names, test/test_namedtensor.py::TestNamedTensor::test_binary_ops, test/test_namedtensor.py::TestNamedTensor::test_bitwise_not, test/test_namedtensor.py::TestNamedTensor::test_bmm, test/test_namedtensor.py::TestNamedTensor::test_cat, test/test_namedtensor.py::TestNamedTensor::test_cdist, test/test_namedtensor.py::TestNamedTensor::test_comparison_ops, test/test_namedtensor.py::TestNamedTensor::test_copy_transpose, test/test_namedtensor.py::TestNamedTensor::test_cummax_cummin, test/test_namedtensor.py::TestNamedTensor::test_detach, test/test_namedtensor.py::TestNamedTensor::test_diagonal, test/test_namedtensor.py::TestNamedTensor::test_dot, test/test_namedtensor.py::TestNamedTensor::test_equal, test/test_namedtensor.py::TestNamedTensor::test_expand, test/test_namedtensor.py::TestNamedTensor::test_factory_coverage, test/test_namedtensor.py::TestNamedTensor::test_factory_edge_cases, test/test_namedtensor.py::TestNamedTensor::test_flatten, test/test_namedtensor.py::TestNamedTensor::test_flatten_index_error, test/test_namedtensor.py::TestNamedTensor::test_flatten_nodims, test/test_namedtensor.py::TestNamedTensor::test_has_names, test/test_namedtensor.py::TestNamedTensor::test_index_fill, test/test_namedtensor.py::TestNamedTensor::test_info_smoke, test/test_namedtensor.py::TestNamedTensor::test_logcumsumexp, test/test_namedtensor.py::TestNamedTensor::test_logical_not, test/test_namedtensor.py::TestNamedTensor::test_logical_ops, test/test_namedtensor.py::TestNamedTensor::test_masked_fill, test/test_namedtensor.py::TestNamedTensor::test_masked_select, test/test_namedtensor.py::TestNamedTensor::test_matmul, test/test_namedtensor.py::TestNamedTensor::test_max_pooling, test/test_namedtensor.py::TestNamedTensor::test_max_pooling_without_names_does_not_warn, test/test_namedtensor.py::TestNamedTensor::test_mm, test/test_namedtensor.py::TestNamedTensor::test_mv, test/test_namedtensor.py::TestNamedTensor::test_no_jit_script_support, test/test_namedtensor.py::TestNamedTensor::test_no_jit_tracer_support, test/test_namedtensor.py::TestNamedTensor::test_no_multiprocessing_support, test/test_namedtensor.py::TestNamedTensor::test_no_pickle_support, test/test_namedtensor.py::TestNamedTensor::test_no_save_support, test/test_namedtensor.py::TestNamedTensor::test_noncontig_contiguous, test/test_namedtensor.py::TestNamedTensor::test_none_names_refcount, test/test_namedtensor.py::TestNamedTensor::test_nyi_dimname_overload_msg, test/test_namedtensor.py::TestNamedTensor::test_out_fn_semantics, test/test_namedtensor.py::TestNamedTensor::test_pow_special, test/test_namedtensor.py::TestNamedTensor::test_py3_ellipsis, test/test_namedtensor.py::TestNamedTensor::test_reduction_fns, test/test_namedtensor.py::TestNamedTensor::test_refine_names, test/test_namedtensor.py::TestNamedTensor::test_rename, test/test_namedtensor.py::TestNamedTensor::test_rename_, test/test_namedtensor.py::TestNamedTensor::test_rename_globber, test/test_namedtensor.py::TestNamedTensor::test_rename_rename_map, test/test_namedtensor.py::TestNamedTensor::test_repr, test/test_namedtensor.py::TestNamedTensor::test_resize, test/test_namedtensor.py::TestNamedTensor::test_select, test/test_namedtensor.py::TestNamedTensor::test_select_cuda, test/test_namedtensor.py::TestNamedTensor::test_set_names_property, test/test_namedtensor.py::TestNamedTensor::test_size, test/test_namedtensor.py::TestNamedTensor::test_split_fns_propagates_names, test/test_namedtensor.py::TestNamedTensor::test_squeeze, test/test_namedtensor.py::TestNamedTensor::test_stride, test/test_namedtensor.py::TestNamedTensor::test_support_device_named_grad, test/test_namedtensor.py::TestNamedTensor::test_tensor_from_lists, test/test_namedtensor.py::TestNamedTensor::test_tensor_from_named_tensor, test/test_namedtensor.py::TestNamedTensor::test_tensor_from_numpy, test/test_namedtensor.py::TestNamedTensor::test_tensor_from_tensor, test/test_namedtensor.py::TestNamedTensor::test_tensor_grad_is_unnamed, test/test_namedtensor.py::TestNamedTensor::test_transpose_variants, test/test_namedtensor.py::TestNamedTensor::test_trivial, test/test_namedtensor.py::TestNamedTensor::test_unary_propagate_names_fns, test/test_namedtensor.py::TestNamedTensor::test_unflatten, test/test_namedtensor.py::TestNamedTensor::test_unsupported_op_error_msg, test/test_namedtensor.py::TestNamedTensor::test_using_seen_interned_string_doesnt_bump_refcount, test/test_namedtensor.py::TestNamedTensor::test_using_unseen_interned_string_bumps_refcount_permanently, test/test_namedtensor.py::TestNamedTensor::test_using_unseen_uninterned_string_refcounts
2025-03-14T05:00:06.3963075Z 
2025-03-14T05:00:07.2992207Z 
2025-03-14T05:00:07.2993859Z dynamo/test_optimizers 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_optimizers_1.1_aabfe3b04b548dd9_.log
2025-03-14T05:00:07.2994999Z 
2025-03-14T05:00:10.3015495Z Running inductor/test_cuda_repro 1/1 ... [2025-03-14 05:00:10.300845]
2025-03-14T05:00:10.3016740Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:00:10.3018448Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 05:00:10.301267]
2025-03-14T05:00:11.3797070Z Running dynamo/test_modes 1/1 ... [2025-03-14 05:00:11.378958]
2025-03-14T05:00:11.3798011Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:00:11.3801917Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 05:00:11.379376]
2025-03-14T05:00:18.1732179Z 
2025-03-14T05:00:18.1733685Z 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_921bbf27727b938c_.log
2025-03-14T05:00:18.1734958Z 
2025-03-14T05:00:19.8854512Z 
2025-03-14T05:00:19.8856215Z dynamo/test_modes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_modes_1.1_e4e9ddb3c8fdf188_.log
2025-03-14T05:00:19.8857391Z 
2025-03-14T05:00:21.8487975Z Running torch_np/numpy_tests/core/test_scalarinherit 1/1 ... [2025-03-14 05:00:21.848362]
2025-03-14T05:00:21.8488948Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:00:21.8491027Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalarinherit.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'] ... [2025-03-14 05:00:21.848713]
2025-03-14T05:00:23.5383186Z Running inductor/test_inplacing_pass 1/1 ... [2025-03-14 05:00:23.537857]
2025-03-14T05:00:23.5384494Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:00:23.5387337Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_inplacing_pass.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'] ... [2025-03-14 05:00:23.538231]
2025-03-14T05:00:25.4180662Z 
2025-03-14T05:00:25.4182214Z torch_np/numpy_tests/core/test_scalarinherit 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalarinherit_1.1_d84e99cdac65d874_.log
2025-03-14T05:00:25.4184363Z Running 3 items in this shard: test/torch_np/numpy_tests/core/test_scalarinherit.py::TestInherit::test_gh_15395, test/torch_np/numpy_tests/core/test_scalarinherit.py::TestInherit::test_init, test/torch_np/numpy_tests/core/test_scalarinherit.py::TestInherit::test_init2
2025-03-14T05:00:25.4185683Z 
2025-03-14T05:00:29.0715550Z Running test_functionalization 1/1 ... [2025-03-14 05:00:29.071120]
2025-03-14T05:00:29.0716426Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:00:29.0718825Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_functionalization.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'] ... [2025-03-14 05:00:29.071482]
2025-03-14T05:00:30.6498464Z 
2025-03-14T05:00:30.6500035Z inductor/test_inplacing_pass 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_inplacing_pass_1.1_12b5949156ec0008_.log
2025-03-14T05:00:30.6500960Z 
2025-03-14T05:00:34.3016976Z Running inductor/test_triton_kernels 1/1 ... [2025-03-14 05:00:34.301239]
2025-03-14T05:00:34.3020049Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:00:34.3022060Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_triton_kernels.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'] ... [2025-03-14 05:00:34.301684]
2025-03-14T05:00:38.0998471Z 
2025-03-14T05:00:38.0999967Z test_functionalization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functionalization_1.1_7f2ce9d234428c0b_.log
2025-03-14T05:00:38.1094277Z Running 112 items in this shard: test/test_functionalization.py::TestFunctionalization::test_advanced_indexing, test/test_functionalization.py::TestFunctionalization::test_advanced_indexing_correct_strides, test/test_functionalization.py::TestFunctionalization::test_aliases_maintained_after_pass_when_reapplying_views, test/test_functionalization.py::TestFunctionalization::test_as_strided, test/test_functionalization.py::TestFunctionalization::test_batch_norm, test/test_functionalization.py::TestFunctionalization::test_cat, test/test_functionalization.py::TestFunctionalization::test_channels_last_contiguous, test/test_functionalization.py::TestFunctionalization::test_copy_, test/test_functionalization.py::TestFunctionalization::test_copy_stride_mismatch, test/test_functionalization.py::TestFunctionalization::test_diagonal, test/test_functionalization.py::TestFunctionalization::test_diagonal_mutated_input, test/test_functionalization.py::TestFunctionalization::test_everything, test/test_functionalization.py::TestFunctionalization::test_expand_symint, test/test_functionalization.py::TestFunctionalization::test_fill_, test/test_functionalization.py::TestFunctionalization::test_freeze, test/test_functionalization.py::TestFunctionalization::test_index_mutation_on_non_input, test/test_functionalization.py::TestFunctionalization::test_inplace_on_non_view, test/test_functionalization.py::TestFunctionalization::test_instance_norm, test/test_functionalization.py::TestFunctionalization::test_metadata_change, test/test_functionalization.py::TestFunctionalization::test_metadata_change_out_op, test/test_functionalization.py::TestFunctionalization::test_mixed_wrappers_invalid, test/test_functionalization.py::TestFunctionalization::test_mixed_wrappers_valid, test/test_functionalization.py::TestFunctionalization::test_multi_out, test/test_functionalization.py::TestFunctionalization::test_multiple_views_of_same_base, test/test_functionalization.py::TestFunctionalization::test_mutable_op_not_inplace_or_other, test/test_functionalization.py::TestFunctionalization::test_mutation_overlapping_mem, test/test_functionalization.py::TestFunctionalization::test_nested_functions_propagate_updates, test/test_functionalization.py::TestFunctionalization::test_only_one_view, test/test_functionalization.py::TestFunctionalization::test_optional_tensor_list, test/test_functionalization.py::TestFunctionalization::test_python_functionalization, test/test_functionalization.py::TestFunctionalization::test_python_functionalization_conj, test/test_functionalization.py::TestFunctionalization::test_python_functionalization_is_conj, test/test_functionalization.py::TestFunctionalization::test_python_functionalization_is_neg, test/test_functionalization.py::TestFunctionalization::test_python_functionalization_lift_fresh, test/test_functionalization.py::TestFunctionalization::test_python_functionalization_lift_fresh_storage, test/test_functionalization.py::TestFunctionalization::test_python_functionalization_neg, test/test_functionalization.py::TestFunctionalization::test_python_functionalization_zero_tensor, test/test_functionalization.py::TestFunctionalization::test_reapply_views_simple, test/test_functionalization.py::TestFunctionalization::test_resize_larger_invalid, test/test_functionalization.py::TestFunctionalization::test_resize_larger_valid, test/test_functionalization.py::TestFunctionalization::test_resize_same_size_diff_rank, test/test_functionalization.py::TestFunctionalization::test_resize_smaller, test/test_functionalization.py::TestFunctionalization::test_save_for_backwards_segfault, test/test_functionalization.py::TestFunctionalization::test_scalars, test/test_functionalization.py::TestFunctionalization::test_set_, test/test_functionalization.py::TestFunctionalization::test_simple, test/test_functionalization.py::TestFunctionalization::test_simple_out, test/test_functionalization.py::TestFunctionalization::test_slice, test/test_functionalization.py::TestFunctionalization::test_split, test/test_functionalization.py::TestFunctionalization::test_split_with_sizes, test/test_functionalization.py::TestFunctionalization::test_tensor_ctr, test/test_functionalization.py::TestFunctionalization::test_tensor_list_composite, test/test_functionalization.py::TestFunctionalization::test_tensor_list_mixed_functional_nonfunctional, test/test_functionalization.py::TestFunctionalization::test_unbind, test/test_functionalization.py::TestFunctionalization::test_view_clone_view_inplace, test/test_functionalization.py::TestFunctionalization::test_view_inplace, test/test_functionalization.py::TestCrossRefFunctionalization::test_advanced_indexing, test/test_functionalization.py::TestCrossRefFunctionalization::test_advanced_indexing_correct_strides, test/test_functionalization.py::TestCrossRefFunctionalization::test_aliases_maintained_after_pass_when_reapplying_views, test/test_functionalization.py::TestCrossRefFunctionalization::test_as_strided, test/test_functionalization.py::TestCrossRefFunctionalization::test_batch_norm, test/test_functionalization.py::TestCrossRefFunctionalization::test_cat, test/test_functionalization.py::TestCrossRefFunctionalization::test_channels_last_contiguous, test/test_functionalization.py::TestCrossRefFunctionalization::test_copy_, test/test_functionalization.py::TestCrossRefFunctionalization::test_copy_stride_mismatch, test/test_functionalization.py::TestCrossRefFunctionalization::test_diagonal, test/test_functionalization.py::TestCrossRefFunctionalization::test_diagonal_mutated_input, test/test_functionalization.py::TestCrossRefFunctionalization::test_everything, test/test_functionalization.py::TestCrossRefFunctionalization::test_expand_symint, test/test_functionalization.py::TestCrossRefFunctionalization::test_fill_, test/test_functionalization.py::TestCrossRefFunctionalization::test_freeze, test/test_functionalization.py::TestCrossRefFunctionalization::test_index_mutation_on_non_input, test/test_functionalization.py::TestCrossRefFunctionalization::test_inplace_on_non_view, test/test_functionalization.py::TestCrossRefFunctionalization::test_instance_norm, test/test_functionalization.py::TestCrossRefFunctionalization::test_metadata_change, test/test_functionalization.py::TestCrossRefFunctionalization::test_metadata_change_out_op, test/test_functionalization.py::TestCrossRefFunctionalization::test_mixed_wrappers_invalid, test/test_functionalization.py::TestCrossRefFunctionalization::test_mixed_wrappers_valid, test/test_functionalization.py::TestCrossRefFunctionalization::test_multi_out, test/test_functionalization.py::TestCrossRefFunctionalization::test_multiple_views_of_same_base, test/test_functionalization.py::TestCrossRefFunctionalization::test_mutable_op_not_inplace_or_other, test/test_functionalization.py::TestCrossRefFunctionalization::test_mutation_overlapping_mem, test/test_functionalization.py::TestCrossRefFunctionalization::test_nested_functions_propagate_updates, test/test_functionalization.py::TestCrossRefFunctionalization::test_only_one_view, test/test_functionalization.py::TestCrossRefFunctionalization::test_optional_tensor_list, test/test_functionalization.py::TestCrossRefFunctionalization::test_python_functionalization, test/test_functionalization.py::TestCrossRefFunctionalization::test_python_functionalization_conj, test/test_functionalization.py::TestCrossRefFunctionalization::test_python_functionalization_is_conj, test/test_functionalization.py::TestCrossRefFunctionalization::test_python_functionalization_is_neg, test/test_functionalization.py::TestCrossRefFunctionalization::test_python_functionalization_lift_fresh, test/test_functionalization.py::TestCrossRefFunctionalization::test_python_functionalization_lift_fresh_storage, test/test_functionalization.py::TestCrossRefFunctionalization::test_python_functionalization_neg, test/test_functionalization.py::TestCrossRefFunctionalization::test_python_functionalization_zero_tensor, test/test_functionalization.py::TestCrossRefFunctionalization::test_reapply_views_simple, test/test_functionalization.py::TestCrossRefFunctionalization::test_resize_larger_invalid, test/test_functionalization.py::TestCrossRefFunctionalization::test_resize_larger_valid, test/test_functionalization.py::TestCrossRefFunctionalization::test_resize_same_size_diff_rank, test/test_functionalization.py::TestCrossRefFunctionalization::test_resize_smaller, test/test_functionalization.py::TestCrossRefFunctionalization::test_save_for_backwards_segfault, test/test_functionalization.py::TestCrossRefFunctionalization::test_scalars, test/test_functionalization.py::TestCrossRefFunctionalization::test_set_, test/test_functionalization.py::TestCrossRefFunctionalization::test_simple, test/test_functionalization.py::TestCrossRefFunctionalization::test_simple_out, test/test_functionalization.py::TestCrossRefFunctionalization::test_slice, test/test_functionalization.py::TestCrossRefFunctionalization::test_split, test/test_functionalization.py::TestCrossRefFunctionalization::test_split_with_sizes, test/test_functionalization.py::TestCrossRefFunctionalization::test_tensor_ctr, test/test_functionalization.py::TestCrossRefFunctionalization::test_tensor_list_composite, test/test_functionalization.py::TestCrossRefFunctionalization::test_tensor_list_mixed_functional_nonfunctional, test/test_functionalization.py::TestCrossRefFunctionalization::test_unbind, test/test_functionalization.py::TestCrossRefFunctionalization::test_view_clone_view_inplace, test/test_functionalization.py::TestCrossRefFunctionalization::test_view_inplace
2025-03-14T05:00:38.1199478Z 
2025-03-14T05:00:41.8436716Z Running nn/test_multihead_attention 1/1 ... [2025-03-14 05:00:41.843132]
2025-03-14T05:00:41.8437613Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:00:41.8441099Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'nn/test_multihead_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'] ... [2025-03-14 05:00:41.843623]
2025-03-14T05:00:42.3365497Z 
2025-03-14T05:00:42.3367351Z inductor/test_triton_kernels 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_kernels_1.1_90dbafa73db989c1_.log
2025-03-14T05:00:42.3368487Z 
2025-03-14T05:00:47.1329650Z Running test_stateless 1/1 ... [2025-03-14 05:00:47.132431]
2025-03-14T05:00:47.1330980Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:00:47.1333258Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_stateless.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'] ... [2025-03-14 05:00:47.132850]
2025-03-14T05:00:51.6765898Z 
2025-03-14T05:00:51.6767729Z nn/test_multihead_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_multihead_attention_1.1_19bdfac6b156c251_.log
2025-03-14T05:00:51.6790532Z Running 19 items in this shard: test/nn/test_multihead_attention.py::TestMultiheadAttentionNN::test_multihead_attention_average_attn_weights_False, test/nn/test_multihead_attention.py::TestMultiheadAttentionNN::test_multihead_attention_average_attn_weights_True, test/nn/test_multihead_attention.py::TestMultiheadAttentionNN::test_multihead_attn_3d_attn_mask, test/nn/test_multihead_attention.py::TestMultiheadAttentionNN::test_multihead_attn_fast_path_invalid_shape, test/nn/test_multihead_attention.py::TestMultiheadAttentionNN::test_multihead_attn_invalid_shape, test/nn/test_multihead_attention.py::TestMultiheadAttentionNN::test_multihead_attn_nested_tensor_outside_fast_path, test/nn/test_multihead_attention.py::TestMultiheadAttentionNN::test_multihead_attn_no_bias, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_attention_dtype_batch_first_cpu_float16, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_attention_dtype_batch_first_cpu_float32, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_attention_dtype_batch_first_cpu_float64, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_attention_dtype_cpu_float16, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_attention_dtype_cpu_float32, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_attention_dtype_cpu_float64, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_attn_fast_path_query_and_bias_have_different_dtypes_cpu_float64, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_attn_fast_path_small_test_cpu_float64, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_attn_in_proj_bias_none_cpu_float64, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_attn_in_proj_weight_none_cpu_float64, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_self_attn_two_masks_fast_path_cpu, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_self_attn_two_masks_fast_path_mock_cpu
2025-03-14T05:00:51.6812258Z 
2025-03-14T05:00:55.5441465Z Running inductor/test_select_algorithm 1/1 ... [2025-03-14 05:00:55.543732]
2025-03-14T05:00:55.5442428Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:00:55.5444709Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 05:00:55.544070]
2025-03-14T05:00:57.8879098Z 
2025-03-14T05:00:57.8880493Z test_stateless 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_stateless_1.1_00bd413e40d34f30_.log
2025-03-14T05:00:57.8924080Z Running 50 items in this shard: test/test_stateless.py::TestStatelessFunctionalAPI::test_circular_references_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_circular_references_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_batch_norm_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_batch_norm_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_member_reference_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_member_reference_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_multiple_dicts_error, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_tuple_dicts, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_data_parallel_error_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_data_parallel_error_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_data_parallel_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_data_parallel_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_gradient_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_gradient_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_jit_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_jit_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_kwargs_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_kwargs_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_in_place_operator_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_in_place_operator_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_module_fail_reset_to_original_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_module_fail_reset_to_original_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_some_weights_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_some_weights_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_special_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_special_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_strict_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_strict_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_tie_some_weights_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_tie_some_weights_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_tie_weights_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_tie_weights_strict_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_tie_weights_strict_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_tie_weights_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrized_module_change_parametrization_original_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrized_module_change_parametrization_original_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_setattr_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_setattr_strict_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_setattr_strict_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_setattr_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_tied_weights_errors_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_tied_weights_errors_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_tied_weights_no_error_without_flag, test/test_stateless.py::TestStatelessFunctionalAPI::test_tied_weights_warns_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_tied_weights_warns_torch_func, test/test_stateless.py::TestStatelessDeprecation::test_private_stateless_warns, test/test_stateless.py::TestStatelessDeprecation::test_stateless_functional_call_warns, test/test_stateless.py::TestPythonOptimizeMode::test_runs_with_optimize_flag
2025-03-14T05:00:57.8965851Z 
2025-03-14T05:01:01.5679838Z Running export/test_db 1/1 ... [2025-03-14 05:01:01.567584]
2025-03-14T05:01:01.5680541Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:01:01.5682544Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 05:01:01.567946]
2025-03-14T05:01:02.7681475Z 
2025-03-14T05:01:02.7682839Z 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_bd75811399ccd0f3_.log
2025-03-14T05:01:02.7683654Z 
2025-03-14T05:01:06.7607333Z Running test_content_store 1/1 ... [2025-03-14 05:01:06.760295]
2025-03-14T05:01:06.7608220Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:01:06.7610445Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 05:01:06.760698]
2025-03-14T05:01:07.6921000Z 
2025-03-14T05:01:07.6922491Z export/test_db 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_db_1.1_5d509e4556db7f3a_.log
2025-03-14T05:01:07.6951312Z 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
2025-03-14T05:01:07.6979136Z 
2025-03-14T05:01:11.2372097Z Running inductor/test_async_compile 1/1 ... [2025-03-14 05:01:11.236802]
2025-03-14T05:01:11.2372920Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:01:11.2375215Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 05:01:11.237166]
2025-03-14T05:01:18.8210822Z 
2025-03-14T05:01:18.8212852Z 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_729674a53c5afacd_.log
2025-03-14T05:01:18.8214308Z 
2025-03-14T05:01:19.3502106Z 
2025-03-14T05:01:19.3503871Z test_content_store 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_content_store_1.1_77d3cb80527091ce_.log
2025-03-14T05:01:19.3509472Z Running 4 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
2025-03-14T05:01:19.3511781Z 
2025-03-14T05:01:23.0272236Z Running test_expanded_weights 1/1 ... [2025-03-14 05:01:23.026822]
2025-03-14T05:01:23.0273043Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:01:23.0275275Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_expanded_weights.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'] ... [2025-03-14 05:01:23.027166]
2025-03-14T05:01:23.4551696Z Running inductor/test_custom_post_grad_passes 1/1 ... [2025-03-14 05:01:23.454758]
2025-03-14T05:01:23.4552660Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:01:23.4555390Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_custom_post_grad_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'] ... [2025-03-14 05:01:23.455191]
2025-03-14T05:01:31.4020988Z 
2025-03-14T05:01:31.4022864Z inductor/test_custom_post_grad_passes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_custom_post_grad_passes_1.1_3f8eee53d4fc13b1_.log
2025-03-14T05:01:31.4023951Z 
2025-03-14T05:01:36.0982896Z Running torch_np/test_basic 1/1 ... [2025-03-14 05:01:36.097717]
2025-03-14T05:01:36.0983750Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:01:36.0990341Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/test_basic.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'] ... [2025-03-14 05:01:36.098107]
2025-03-14T05:01:40.4401735Z 
2025-03-14T05:01:40.4403452Z test_expanded_weights 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_expanded_weights_1.1_25eeeb920c1df70d_.log
2025-03-14T05:01:40.4504804Z Running 189 items in this shard: test/test_expanded_weights.py::TestExpandedWeightHelperFunctionCPU::test_forward_helper_cpu, test/test_expanded_weights.py::TestExpandedWeightHelperFunctionCPU::test_forward_helper_failure_args_cpu, test/test_expanded_weights.py::TestExpandedWeightHelperFunctionCPU::test_set_grad_sample_if_exists_cpu, test/test_expanded_weights.py::TestExpandedWeightHelperFunctionCPU::test_set_grad_sample_if_exists_failure_cpu, test/test_expanded_weights.py::TestExpandedWeightHelperFunctionCPU::test_sum_over_all_but_batch_and_last_n_cpu, test/test_expanded_weights.py::TestExpandedWeightHelperFunctionCPU::test_unpack_expanded_weight_or_tensor_cpu, test/test_expanded_weights.py::TestExpandedWeightHelperFunctionCPU::test_unpack_expanded_weight_or_tensor_failure_cpu, test/test_expanded_weights.py::TestExpandedWeightHelperFunctionCPU::test_unpack_expanded_weight_or_tensor_with_custom_function_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_cnn_model_mean_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_cnn_model_sum_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_embedding_model_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_error_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv1d_cpu_bfloat16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv1d_cpu_complex128, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv1d_cpu_complex64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv1d_cpu_float16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv1d_cpu_float32, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv1d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv1d_cpu_int64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv2d_cpu_bfloat16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv2d_cpu_complex128, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv2d_cpu_complex64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv2d_cpu_float16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv2d_cpu_float32, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv2d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv2d_cpu_int64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv3d_cpu_bfloat16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv3d_cpu_complex128, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv3d_cpu_complex64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv3d_cpu_float16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv3d_cpu_float32, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv3d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv3d_cpu_int64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_embedding_cpu_bfloat16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_embedding_cpu_float16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_embedding_cpu_float32, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_embedding_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_group_norm_cpu_bfloat16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_group_norm_cpu_float16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_group_norm_cpu_float32, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_group_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_instance_norm_cpu_bfloat16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_instance_norm_cpu_float16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_instance_norm_cpu_float32, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_instance_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_layer_norm_cpu_bfloat16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_layer_norm_cpu_float16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_layer_norm_cpu_float32, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_layer_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_linear_cpu_bfloat16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_linear_cpu_complex128, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_linear_cpu_complex64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_linear_cpu_float16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_linear_cpu_float32, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_linear_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_linear_cpu_int16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_linear_cpu_int32, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_linear_cpu_int64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_linear_cpu_int8, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_linear_cpu_uint8, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_mean_nn_functional_conv1d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_mean_nn_functional_conv2d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_mean_nn_functional_conv3d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_mean_nn_functional_embedding_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_mean_nn_functional_group_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_mean_nn_functional_instance_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_mean_nn_functional_layer_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_mean_nn_functional_linear_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_sum_nn_functional_conv1d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_sum_nn_functional_conv2d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_sum_nn_functional_conv3d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_sum_nn_functional_embedding_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_sum_nn_functional_group_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_sum_nn_functional_instance_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_sum_nn_functional_layer_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_sum_nn_functional_linear_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weights_per_sample_grad_input_no_grad_nn_functional_conv1d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weights_per_sample_grad_input_no_grad_nn_functional_conv2d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weights_per_sample_grad_input_no_grad_nn_functional_conv3d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weights_per_sample_grad_input_no_grad_nn_functional_embedding_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weights_per_sample_grad_input_no_grad_nn_functional_group_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weights_per_sample_grad_input_no_grad_nn_functional_instance_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weights_per_sample_grad_input_no_grad_nn_functional_layer_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weights_per_sample_grad_input_no_grad_nn_functional_linear_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_group_norm_error_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_group_norm_model_num_dim_1_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_group_norm_model_num_dim_2_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_group_norm_model_num_dim_3_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_instance_norm_model_num_dim_1_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_instance_norm_model_num_dim_2_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_instance_norm_model_num_dim_3_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_layer_norm_model_num_dim_1_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_layer_norm_model_num_dim_2_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_layer_norm_model_num_dim_3_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_unsupported_expand_weights_nn_functional_conv1d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_unsupported_expand_weights_nn_functional_conv2d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_unsupported_expand_weights_nn_functional_conv3d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_unsupported_expand_weights_nn_functional_embedding_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_unsupported_expand_weights_nn_functional_group_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_unsupported_expand_weights_nn_functional_instance_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_unsupported_expand_weights_nn_functional_layer_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_unsupported_expand_weights_nn_functional_linear_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_circular_stride2_pad2_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_circular_stride2_pad2_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_pad1_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_pad1_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_pad1size1_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_pad1size1_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_pad2_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_pad2_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_pad2size1_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_pad2size1_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_reflect_stride2_pad2_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_reflect_stride2_pad2_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_replicate_stride2_pad2_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_replicate_stride2_pad2_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_stride_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_stride_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_zero_batch_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_zero_batch_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_zeros_stride2_pad2_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_zeros_stride2_pad2_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_circular_stride2_pad2_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_circular_stride2_pad2_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_dilated_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_dilated_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_no_bias_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_no_bias_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_padding_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_padding_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_reflect_stride2_pad2_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_reflect_stride2_pad2_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_replicate_stride2_pad2_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_replicate_stride2_pad2_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_strided_cpu, 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2025-03-14T05:01:40.4602158Z 
2025-03-14T05:01:42.5256407Z 
2025-03-14T05:01:42.5257848Z torch_np/test_basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_basic_1.1_44b4f44c61893533_.log
2025-03-14T05:01:42.5526501Z Running 453 items in this shard: test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func0, test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func1, test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func10, test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func11, test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func12, test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func13, test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func14, test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func15, test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func16, test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func17, test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func18, test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func19, test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func2, 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test/torch_np/test_basic.py::TestSequenceOfArraysToSingle::test_several_func6, test/torch_np/test_basic.py::TestArrayToSequence::test_asarray_array_func0, test/torch_np/test_basic.py::TestArrayToSequence::test_asarray_array_func1, test/torch_np/test_basic.py::TestArrayToSequence::test_asarray_list_func0, test/torch_np/test_basic.py::TestArrayToSequence::test_asarray_list_func1, test/torch_np/test_basic.py::TestArrayToSequence::test_asarray_tensor_func0, test/torch_np/test_basic.py::TestArrayToSequence::test_asarray_tensor_func1, test/torch_np/test_basic.py::TestPythonArgsToArray::test_argstoarray_simple_func0_args0, test/torch_np/test_basic.py::TestPythonArgsToArray::test_argstoarray_simple_func1_args1, test/torch_np/test_basic.py::TestPythonArgsToArray::test_argstoarray_simple_func2_args2, test/torch_np/test_basic.py::TestPythonArgsToArray::test_argstoarray_simple_func3_args3, test/torch_np/test_basic.py::TestPythonArgsToArray::test_argstoarray_simple_func4_args4, test/torch_np/test_basic.py::TestPythonArgsToArray::test_argstoarray_simple_func5_args5, test/torch_np/test_basic.py::TestPythonArgsToArray::test_argstoarray_simple_func6_args6, test/torch_np/test_basic.py::TestPythonArgsToArray::test_argstoarray_simple_func7_args7, test/torch_np/test_basic.py::TestPythonArgsToArray::test_argstoarray_simple_func8_args8, test/torch_np/test_basic.py::TestPythonArgsToArray::test_argstoarray_simple_func9_args9, test/torch_np/test_basic.py::TestNormalizations::test_too_few_args_positional, test/torch_np/test_basic.py::TestNormalizations::test_unknown_args, test/torch_np/test_basic.py::TestNormalizations::test_unknown_args_with_defaults, test/torch_np/test_basic.py::TestCopyTo::test_copyto_basic, test/torch_np/test_basic.py::TestCopyTo::test_copyto_typecast, test/torch_np/test_basic.py::TestCopyTo::test_copytobcast, test/torch_np/test_basic.py::TestDivmod::test_divmod_no_out, test/torch_np/test_basic.py::TestDivmod::test_divmod_out, test/torch_np/test_basic.py::TestDivmod::test_divmod_out_both_pos_and_kw, test/torch_np/test_basic.py::TestDivmod::test_divmod_out_list, test/torch_np/test_basic.py::TestDivmod::test_divmod_pos_only, test/torch_np/test_basic.py::TestSmokeNotImpl::test_nimpl_basic, test/torch_np/test_basic.py::TestDefaultDtype::test_defaultdtype_defaults, test/torch_np/test_basic.py::TestDefaultDtype::test_set_default_float_dt_float32, test/torch_np/test_basic.py::TestDefaultDtype::test_set_default_float_dt_pytorch, test/torch_np/test_basic.py::TestDefaultDtype::test_set_default_float_float32, test/torch_np/test_basic.py::TestExport::test_exported_objects, test/torch_np/test_basic.py::TestCtorNested::test_arrays_in_lists, test/torch_np/test_basic.py::TestMisc::test_f16_on_cuda, test/torch_np/test_basic.py::TestMisc::test_ndarrays_to_tensors
2025-03-14T05:01:42.5782353Z 
2025-03-14T05:01:45.1757426Z Running inductor/test_dependencies 1/1 ... [2025-03-14 05:01:45.174819]
2025-03-14T05:01:45.1758333Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:01:45.1760733Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_dependencies.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'] ... [2025-03-14 05:01:45.175253]
2025-03-14T05:01:46.6752865Z Running nn/test_packed_sequence 1/1 ... [2025-03-14 05:01:46.674335]
2025-03-14T05:01:46.6753757Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:01:46.6756142Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'nn/test_packed_sequence.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'] ... [2025-03-14 05:01:46.674733]
2025-03-14T05:01:50.7969301Z 
2025-03-14T05:01:50.7970825Z nn/test_packed_sequence 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_packed_sequence_1.1_1997a362fec24ecc_.log
2025-03-14T05:01:50.7979883Z Running 12 items in this shard: test/nn/test_packed_sequence.py::PackedSequenceTest::test_pack_padded_sequence, test/nn/test_packed_sequence.py::PackedSequenceTest::test_pack_sequence, test/nn/test_packed_sequence.py::PackedSequenceTest::test_pad_sequence, test/nn/test_packed_sequence.py::PackedSequenceTest::test_pad_sequence_with_non_iterable_sequences, test/nn/test_packed_sequence.py::PackedSequenceTest::test_pad_sequence_with_tensor_sequences, test/nn/test_packed_sequence.py::PackedSequenceTest::test_to, test/nn/test_packed_sequence.py::PackedSequenceTest::test_to_memory_format, test/nn/test_packed_sequence.py::PackedSequenceTest::test_total_length, test/nn/test_packed_sequence.py::PackedSequenceTest::test_type_casts, test/nn/test_packed_sequence.py::PackedSequenceTest::test_unpack_sequence, test/nn/test_packed_sequence.py::PackedSequenceTest::test_unpad_sequence, test/nn/test_packed_sequence.py::PackedSequenceTest::test_wrong_order
2025-03-14T05:01:50.7987677Z 
2025-03-14T05:01:52.8151797Z 
2025-03-14T05:01:52.8153369Z inductor/test_dependencies 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_dependencies_1.1_6d207619d99ac54b_.log
2025-03-14T05:01:54.6980549Z 
2025-03-14T05:01:54.6981888Z Running dynamo/test_metrics_context 1/1 ... [2025-03-14 05:01:54.697692]
2025-03-14T05:01:54.6982838Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:01:54.6984981Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_metrics_context.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'] ... [2025-03-14 05:01:54.698039]
2025-03-14T05:01:56.5232066Z Running test_custom_ops 1/1 ... [2025-03-14 05:01:56.522779]
2025-03-14T05:01:56.5232884Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:01:56.5234846Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_custom_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'] ... [2025-03-14 05:01:56.523128]
2025-03-14T05:01:58.1379183Z 
2025-03-14T05:01:58.1380771Z dynamo/test_metrics_context 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_metrics_context_1.1_03befe14505885f0_.log
2025-03-14T05:01:58.1382461Z 
2025-03-14T05:02:01.7363310Z Running xpu/test_conv 1/1 ... [2025-03-14 05:02:01.735979]
2025-03-14T05:02:01.7363785Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:02:01.7366347Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'xpu/test_conv.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'] ... [2025-03-14 05:02:01.736359]
2025-03-14T05:02:05.8599494Z 
2025-03-14T05:02:05.8601205Z xpu/test_conv 1/1 was successful, full logs can be found in artifacts with path test/test-reports/xpu.test_conv_1.1_c3c04cdae0775ab8_.log
2025-03-14T05:02:05.8603138Z Running 0 items in this shard:
2025-03-14T05:02:05.8603462Z 
2025-03-14T05:02:09.7812820Z Running inductor/test_fused_attention 1/1 ... [2025-03-14 05:02:09.780769]
2025-03-14T05:02:09.7813857Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:02:09.7815779Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 05:02:09.781138]
2025-03-14T05:02:16.9202049Z 
2025-03-14T05:02:16.9203489Z 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_b52cd6d6134eb4f2_.log
2025-03-14T05:02:16.9204710Z 
2025-03-14T05:02:20.4838047Z Running dynamo/test_global 1/1 ... [2025-03-14 05:02:20.483357]
2025-03-14T05:02:20.4838851Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:02:20.4840794Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_global.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'] ... [2025-03-14 05:02:20.483703]
2025-03-14T05:02:24.4318001Z 
2025-03-14T05:02:24.4319487Z dynamo/test_global 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_global_1.1_2ed6b3aa9b08dec3_.log
2025-03-14T05:02:24.4320537Z 
2025-03-14T05:02:27.5028930Z 
2025-03-14T05:02:27.5030512Z test_custom_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_custom_ops_1.1_9cedb905d3351988_.log
2025-03-14T05:02:27.5222729Z Running 264 items in this shard: test/test_custom_ops.py::TestCustomOp::test_abstract_impl_on_existing_op, test/test_custom_ops.py::TestCustomOp::test_abstract_impl_on_existing_op_with_CompositeExplicitAutograd, test/test_custom_ops.py::TestCustomOp::test_abstract_impl_on_existing_op_with_CompositeImplicitAutograd, test/test_custom_ops.py::TestCustomOp::test_abstract_impl_on_existing_op_with_meta, test/test_custom_ops.py::TestCustomOp::test_autogen_aten_ops_are_pt2_compliant, test/test_custom_ops.py::TestCustomOp::test_autograd_function_backed_op, test/test_custom_ops.py::TestCustomOp::test_autograd_notimplemented, test/test_custom_ops.py::TestCustomOp::test_autograd_notimplemented_gradmode, test/test_custom_ops.py::TestCustomOp::test_backward_dict_grad_for_nontensor, test/test_custom_ops.py::TestCustomOp::test_backward_dict_invalid_keys, test/test_custom_ops.py::TestCustomOp::test_backward_dict_requires_keys_for_input_optional_tensors, test/test_custom_ops.py::TestCustomOp::test_backward_dict_requires_keys_for_input_tensors, test/test_custom_ops.py::TestCustomOp::test_backward_grads_are_tensor_or_none, test/test_custom_ops.py::TestCustomOp::test_backward_impl_on_existing_op, test/test_custom_ops.py::TestCustomOp::test_backward_impl_on_existing_op_CompositeImplicitAutograd, test/test_custom_ops.py::TestCustomOp::test_backward_impl_on_existing_op_incorrect_schema_mutable, test/test_custom_ops.py::TestCustomOp::test_backward_impl_on_existing_op_incorrect_schema_no_output, test/test_custom_ops.py::TestCustomOp::test_backward_impl_on_existing_op_incorrect_schema_views, test/test_custom_ops.py::TestCustomOp::test_backward_impl_on_existing_op_with_key_key_Autograd, test/test_custom_ops.py::TestCustomOp::test_backward_impl_on_existing_op_with_key_key_AutogradCPU, test/test_custom_ops.py::TestCustomOp::test_backward_impl_on_existing_op_with_key_key_AutogradCUDA, test/test_custom_ops.py::TestCustomOp::test_backward_output_differentiability_non_tensor, test/test_custom_ops.py::TestCustomOp::test_backward_output_differentiability_numel, test/test_custom_ops.py::TestCustomOp::test_backward_output_differentiability_tensorlist, test/test_custom_ops.py::TestCustomOp::test_backward_output_differentiability_type, test/test_custom_ops.py::TestCustomOp::test_backward_partially_registered, test/test_custom_ops.py::TestCustomOp::test_backward_returns_dict, test/test_custom_ops.py::TestCustomOp::test_backward_tensorlist_input_requires_list_grads, test/test_custom_ops.py::TestCustomOp::test_backward_tensorlist_input_requires_list_grads_none_or_Tensor, test/test_custom_ops.py::TestCustomOp::test_backward_tensorlist_input_requires_list_grads_with_same_numel, test/test_custom_ops.py::TestCustomOp::test_basic_make_fx, test/test_custom_ops.py::TestCustomOp::test_builtin_aten_ops_are_pt2_compliant, test/test_custom_ops.py::TestCustomOp::test_builtin_torchscript_ops, test/test_custom_ops.py::TestCustomOp::test_data_dependent_basic, test/test_custom_ops.py::TestCustomOp::test_data_dependent_compile, test/test_custom_ops.py::TestCustomOp::test_data_dependent_fake_tracing, test/test_custom_ops.py::TestCustomOp::test_data_dependent_nms_dynamic_compile, test/test_custom_ops.py::TestCustomOp::test_define_and_impl, test/test_custom_ops.py::TestCustomOp::test_define_bad_schema, test/test_custom_ops.py::TestCustomOp::test_define_validation, test/test_custom_ops.py::TestCustomOp::test_define_with_tags_list, test/test_custom_ops.py::TestCustomOp::test_define_with_tags_single, test/test_custom_ops.py::TestCustomOp::test_define_with_tags_tuple, test/test_custom_ops.py::TestCustomOp::test_defined_in_python, test/test_custom_ops.py::TestCustomOp::test_deploy_interaction, test/test_custom_ops.py::TestCustomOp::test_duplicate_impl, test/test_custom_ops.py::TestCustomOp::test_functionalize_error, test/test_custom_ops.py::TestCustomOp::test_impl_abstract_overload, test/test_custom_ops.py::TestCustomOp::test_impl_cpu, test/test_custom_ops.py::TestCustomOp::test_impl_device_cpu, test/test_custom_ops.py::TestCustomOp::test_impl_device_cuda, test/test_custom_ops.py::TestCustomOp::test_impl_device_function, test/test_custom_ops.py::TestCustomOp::test_impl_device_invalid, test/test_custom_ops.py::TestCustomOp::test_impl_function, test/test_custom_ops.py::TestCustomOp::test_impl_invalid_devices, test/test_custom_ops.py::TestCustomOp::test_impl_meta, test/test_custom_ops.py::TestCustomOp::test_impl_multiple, test/test_custom_ops.py::TestCustomOp::test_impl_on_existing_op, test/test_custom_ops.py::TestCustomOp::test_impl_on_existing_op_with_cpu_registration_key_CPU, test/test_custom_ops.py::TestCustomOp::test_impl_on_existing_op_with_cpu_registration_key_CUDA, test/test_custom_ops.py::TestCustomOp::test_impl_on_existing_op_with_cpu_registration_key_CompositeExplicitAutograd, test/test_custom_ops.py::TestCustomOp::test_impl_on_existing_op_with_cpu_registration_key_CompositeImplicitAutograd, test/test_custom_ops.py::TestCustomOp::test_impl_separate, test/test_custom_ops.py::TestCustomOp::test_incorrect_schema_types, test/test_custom_ops.py::TestCustomOp::test_infer_schema_no_return, test/test_custom_ops.py::TestCustomOp::test_infer_schema_supported, test/test_custom_ops.py::TestCustomOp::test_infer_schema_unsupported, test/test_custom_ops.py::TestCustomOp::test_invalid_qualname, test/test_custom_ops.py::TestCustomOp::test_invalid_schemas, test/test_custom_ops.py::TestCustomOp::test_is_functional_schema, test/test_custom_ops.py::TestCustomOp::test_is_tensorlist_like_type, test/test_custom_ops.py::TestCustomOp::test_legacy_define, test/test_custom_ops.py::TestCustomOp::test_legacy_impl, test/test_custom_ops.py::TestCustomOp::test_lifetime, test/test_custom_ops.py::TestCustomOp::test_meta_for_data_dependent_shape_operation, test/test_custom_ops.py::TestCustomOp::test_name_must_match, test/test_custom_ops.py::TestCustomOp::test_new_data_dependent_symint, test/test_custom_ops.py::TestCustomOp::test_not_implemented_error, test/test_custom_ops.py::TestCustomOp::test_private_ctor, test/test_custom_ops.py::TestCustomOp::test_reserved_ns, test/test_custom_ops.py::TestCustomOp::test_resolve_packet, test/test_custom_ops.py::TestCustomOp::test_save_for_backward_inputs_are_namedtuple, test/test_custom_ops.py::TestCustomOp::test_schema_matches_signature, test/test_custom_ops.py::TestCustomOp::test_sequences, test/test_custom_ops.py::TestCustomOp::test_supported_param_types, test/test_custom_ops.py::TestCustomOp::test_supported_return_types_multi_return, test/test_custom_ops.py::TestCustomOp::test_supported_return_types_single_return, test/test_custom_ops.py::TestCustomOp::test_supported_schemas, test/test_custom_ops.py::TestCustomOp::test_symints, test/test_custom_ops.py::TestCustomOp::test_unsupported_param_types, test/test_custom_ops.py::TestCustomOp::test_unsupported_schemas, test/test_custom_ops.py::MiniOpTest::test_aot_dispatch_dynamic__test_delayed_error, test/test_custom_ops.py::MiniOpTest::test_aot_dispatch_dynamic__test_delayed_error_no_requires_grad, test/test_custom_ops.py::MiniOpTest::test_aot_dispatch_dynamic__test_incorrect_schema, test/test_custom_ops.py::MiniOpTest::test_aot_dispatch_dynamic__test_inplace, test/test_custom_ops.py::MiniOpTest::test_aot_dispatch_dynamic__test_mm, test/test_custom_ops.py::MiniOpTest::test_aot_dispatch_dynamic__test_mm_errors, test/test_custom_ops.py::MiniOpTest::test_aot_dispatch_dynamic__test_mm_fake, test/test_custom_ops.py::MiniOpTest::test_aot_dispatch_dynamic__test_mm_meta, test/test_custom_ops.py::MiniOpTest::test_aot_dispatch_dynamic__test_no_abstract, test/test_custom_ops.py::MiniOpTest::test_aot_dispatch_dynamic__test_nonzero, test/test_custom_ops.py::MiniOpTest::test_aot_dispatch_static__test_delayed_error, test/test_custom_ops.py::MiniOpTest::test_aot_dispatch_static__test_delayed_error_no_requires_grad, test/test_custom_ops.py::MiniOpTest::test_aot_dispatch_static__test_incorrect_schema, test/test_custom_ops.py::MiniOpTest::test_aot_dispatch_static__test_inplace, test/test_custom_ops.py::MiniOpTest::test_aot_dispatch_static__test_mm, test/test_custom_ops.py::MiniOpTest::test_aot_dispatch_static__test_mm_errors, test/test_custom_ops.py::MiniOpTest::test_aot_dispatch_static__test_mm_fake, test/test_custom_ops.py::MiniOpTest::test_aot_dispatch_static__test_mm_meta, test/test_custom_ops.py::MiniOpTest::test_aot_dispatch_static__test_no_abstract, test/test_custom_ops.py::MiniOpTest::test_aot_dispatch_static__test_nonzero, test/test_custom_ops.py::MiniOpTest::test_autograd_registration__test_delayed_error, test/test_custom_ops.py::MiniOpTest::test_autograd_registration__test_delayed_error_no_requires_grad, test/test_custom_ops.py::MiniOpTest::test_autograd_registration__test_incorrect_schema, test/test_custom_ops.py::MiniOpTest::test_autograd_registration__test_inplace, test/test_custom_ops.py::MiniOpTest::test_autograd_registration__test_mm, test/test_custom_ops.py::MiniOpTest::test_autograd_registration__test_mm_errors, test/test_custom_ops.py::MiniOpTest::test_autograd_registration__test_mm_fake, test/test_custom_ops.py::MiniOpTest::test_autograd_registration__test_mm_meta, test/test_custom_ops.py::MiniOpTest::test_autograd_registration__test_no_abstract, test/test_custom_ops.py::MiniOpTest::test_autograd_registration__test_nonzero, test/test_custom_ops.py::MiniOpTest::test_delayed_error, test/test_custom_ops.py::MiniOpTest::test_delayed_error_no_requires_grad, test/test_custom_ops.py::MiniOpTest::test_dont_generate, test/test_custom_ops.py::MiniOpTest::test_faketensor__test_delayed_error, test/test_custom_ops.py::MiniOpTest::test_faketensor__test_delayed_error_no_requires_grad, test/test_custom_ops.py::MiniOpTest::test_faketensor__test_incorrect_schema, test/test_custom_ops.py::MiniOpTest::test_faketensor__test_inplace, test/test_custom_ops.py::MiniOpTest::test_faketensor__test_mm, test/test_custom_ops.py::MiniOpTest::test_faketensor__test_mm_errors, test/test_custom_ops.py::MiniOpTest::test_faketensor__test_mm_fake, test/test_custom_ops.py::MiniOpTest::test_faketensor__test_mm_meta, test/test_custom_ops.py::MiniOpTest::test_faketensor__test_no_abstract, test/test_custom_ops.py::MiniOpTest::test_faketensor__test_nonzero, test/test_custom_ops.py::MiniOpTest::test_incorrect_schema, test/test_custom_ops.py::MiniOpTest::test_inplace, test/test_custom_ops.py::MiniOpTest::test_mm, test/test_custom_ops.py::MiniOpTest::test_mm_errors, test/test_custom_ops.py::MiniOpTest::test_mm_fake, test/test_custom_ops.py::MiniOpTest::test_mm_meta, test/test_custom_ops.py::MiniOpTest::test_no_abstract, test/test_custom_ops.py::MiniOpTest::test_nonzero, test/test_custom_ops.py::MiniOpTest::test_pt2_compliant_tag_aten_mm, test/test_custom_ops.py::MiniOpTest::test_pt2_compliant_tag_aten_nonzero, test/test_custom_ops.py::MiniOpTest::test_pt2_compliant_tag_aten_sin_, test/test_custom_ops.py::MiniOpTest::test_pt2_compliant_tag_mini_op_test_delayed_error, test/test_custom_ops.py::MiniOpTest::test_pt2_compliant_tag_mini_op_test_incorrect_schema, test/test_custom_ops.py::MiniOpTest::test_pt2_compliant_tag_mini_op_test_no_abstract, test/test_custom_ops.py::MiniOpTest::test_schema__test_delayed_error, test/test_custom_ops.py::MiniOpTest::test_schema__test_delayed_error_no_requires_grad, test/test_custom_ops.py::MiniOpTest::test_schema__test_incorrect_schema, test/test_custom_ops.py::MiniOpTest::test_schema__test_inplace, test/test_custom_ops.py::MiniOpTest::test_schema__test_mm, test/test_custom_ops.py::MiniOpTest::test_schema__test_mm_errors, test/test_custom_ops.py::MiniOpTest::test_schema__test_mm_fake, test/test_custom_ops.py::MiniOpTest::test_schema__test_mm_meta, test/test_custom_ops.py::MiniOpTest::test_schema__test_no_abstract, test/test_custom_ops.py::MiniOpTest::test_schema__test_nonzero, test/test_custom_ops.py::TestCustomOpAPI::test_basic, test/test_custom_ops.py::TestCustomOpAPI::test_compile, test/test_custom_ops.py::TestCustomOpAPI::test_default_values, test/test_custom_ops.py::TestCustomOpAPI::test_disallows_output_aliasing, test/test_custom_ops.py::TestCustomOpAPI::test_factory_function, test/test_custom_ops.py::TestCustomOpAPI::test_fake, test/test_custom_ops.py::TestCustomOpAPI::test_kwarg_only_tensors, test/test_custom_ops.py::TestCustomOpAPI::test_layout_constraint_tags, test/test_custom_ops.py::TestCustomOpAPI::test_library_register_autocast, test/test_custom_ops.py::TestCustomOpAPI::test_library_register_autocast_list_input, test/test_custom_ops.py::TestCustomOpAPI::test_library_register_autocast_low_level, test/test_custom_ops.py::TestCustomOpAPI::test_library_register_autocast_multiple_times, test/test_custom_ops.py::TestCustomOpAPI::test_library_register_autocast_multiple_times_different_devices, test/test_custom_ops.py::TestCustomOpAPI::test_library_register_autograd, test/test_custom_ops.py::TestCustomOpAPI::test_library_register_autograd_low_level, test/test_custom_ops.py::TestCustomOpAPI::test_library_register_fake, test/test_custom_ops.py::TestCustomOpAPI::test_library_register_fake_source_idx_0, test/test_custom_ops.py::TestCustomOpAPI::test_library_register_fake_source_idx_1, test/test_custom_ops.py::TestCustomOpAPI::test_library_register_fake_source_idx_2, test/test_custom_ops.py::TestCustomOpAPI::test_library_register_fake_source_idx_3, test/test_custom_ops.py::TestCustomOpAPI::test_library_register_fake_source_idx_4, test/test_custom_ops.py::TestCustomOpAPI::test_library_register_fake_source_idx_5, test/test_custom_ops.py::TestCustomOpAPI::test_library_register_kernel, test/test_custom_ops.py::TestCustomOpAPI::test_library_register_kernel_low_level, test/test_custom_ops.py::TestCustomOpAPI::test_library_register_torch_dispatch, test/test_custom_ops.py::TestCustomOpAPI::test_library_register_torch_dispatch_low_level, test/test_custom_ops.py::TestCustomOpAPI::test_library_register_torch_dispatch_rule_mode, test/test_custom_ops.py::TestCustomOpAPI::test_library_register_torch_dispatch_rule_subclass, test/test_custom_ops.py::TestCustomOpAPI::test_library_register_vmap, test/test_custom_ops.py::TestCustomOpAPI::test_library_register_vmap_library_decorator, test/test_custom_ops.py::TestCustomOpAPI::test_library_register_vmap_op_decorator, test/test_custom_ops.py::TestCustomOpAPI::test_library_register_vmap_register_multiple_times, test/test_custom_ops.py::TestCustomOpAPI::test_library_register_vmap_register_multiple_times_2, test/test_custom_ops.py::TestCustomOpAPI::test_library_schema_infer, test/test_custom_ops.py::TestCustomOpAPI::test_manual_schema, test/test_custom_ops.py::TestCustomOpAPI::test_manual_schema_error, test/test_custom_ops.py::TestCustomOpAPI::test_multi_types, test/test_custom_ops.py::TestCustomOpAPI::test_mutated, test/test_custom_ops.py::TestCustomOpAPI::test_mutated_error, test/test_custom_ops.py::TestCustomOpAPI::test_mutated_unknown, test/test_custom_ops.py::TestCustomOpAPI::test_no_grad_skips_autograd, test/test_custom_ops.py::TestCustomOpAPI::test_overloading, test/test_custom_ops.py::TestCustomOpAPI::test_register_autograd_defaults, test/test_custom_ops.py::TestCustomOpAPI::test_register_autograd_error_cases, test/test_custom_ops.py::TestCustomOpAPI::test_register_autograd_kwargonly_low_level, test/test_custom_ops.py::TestCustomOpAPI::test_register_vmap_defaults, test/test_custom_ops.py::TestCustomOpAPI::test_register_vmap_kwargonly_low_level, test/test_custom_ops.py::TestCustomOpAPI::test_replacement, test/test_custom_ops.py::TestCustomOpAPI::test_set_kernel_enabled, test/test_custom_ops.py::TestCustomOpAPI::test_split_device, test/test_custom_ops.py::TestCustomOpAPI::test_supports_tensorlist, test/test_custom_ops.py::MiniOpTestOther::test_aot_dispatch_dynamic__test_nonzero_again, test/test_custom_ops.py::MiniOpTestOther::test_aot_dispatch_static__test_nonzero_again, test/test_custom_ops.py::MiniOpTestOther::test_autograd_registration__test_nonzero_again, test/test_custom_ops.py::MiniOpTestOther::test_faketensor__test_nonzero_again, test/test_custom_ops.py::MiniOpTestOther::test_nonzero_again, test/test_custom_ops.py::MiniOpTestOther::test_pt2_compliant_tag_aten_mm, test/test_custom_ops.py::MiniOpTestOther::test_pt2_compliant_tag_aten_nonzero, test/test_custom_ops.py::MiniOpTestOther::test_pt2_compliant_tag_aten_sin_, test/test_custom_ops.py::MiniOpTestOther::test_pt2_compliant_tag_mini_op_test_delayed_error, test/test_custom_ops.py::MiniOpTestOther::test_pt2_compliant_tag_mini_op_test_incorrect_schema, test/test_custom_ops.py::MiniOpTestOther::test_pt2_compliant_tag_mini_op_test_no_abstract, test/test_custom_ops.py::MiniOpTestOther::test_schema__test_nonzero_again, test/test_custom_ops.py::TestGenerateOpcheckTests::test_MiniOpTest, test/test_custom_ops.py::TestGenerateOpcheckTests::test_dont_generate_decorator, test/test_custom_ops.py::TestGenerateOpcheckTests::test_failures_dict_validation, test/test_custom_ops.py::TestGenerateOpcheckTests::test_generate_repro_no_save_data, test/test_custom_ops.py::TestGenerateOpcheckTests::test_generate_repro_save_data, test/test_custom_ops.py::TestGenerateOpcheckTests::test_is_inside_opcheck_mode, test/test_custom_ops.py::TestGenerateOpcheckTests::test_opcheck, test/test_custom_ops.py::TestGenerateOpcheckTests::test_opcheck_bad_op, test/test_custom_ops.py::TestGenerateOpcheckTests::test_opcheck_customopdef, test/test_custom_ops.py::TestGenerateOpcheckTests::test_opcheck_does_not_require_extra_deps, test/test_custom_ops.py::TestTypeConversion::test_mixed_types, test/test_custom_ops.py::TestTypeConversion::test_optional, test/test_custom_ops.py::TestTypeConversion::test_simple_tuple, test/test_custom_ops.py::TestTypeConversion::test_supported_types, test/test_custom_ops.py::TestCustomOpTestingCPU::test_aot_autograd_check_degenerate_cases_check_gradients_False_dynamic_False_cpu, test/test_custom_ops.py::TestCustomOpTestingCPU::test_aot_autograd_check_degenerate_cases_check_gradients_False_dynamic_True_cpu, test/test_custom_ops.py::TestCustomOpTestingCPU::test_aot_autograd_check_degenerate_cases_check_gradients_auto_dynamic_False_cpu, test/test_custom_ops.py::TestCustomOpTestingCPU::test_aot_autograd_check_degenerate_cases_check_gradients_auto_dynamic_True_cpu, test/test_custom_ops.py::TestCustomOpTestingCPU::test_assert_raises_regex_cpu, test/test_custom_ops.py::TestCustomOpTestingCPU::test_autograd_registered_at_backend_cpu, test/test_custom_ops.py::TestCustomOpTestingCPU::test_autograd_registration_check_autograd_kernel_cpu, test/test_custom_ops.py::TestCustomOpTestingCPU::test_autograd_registration_check_compositeimplicitautograd_cpu, test/test_custom_ops.py::TestCustomOpTestingCPU::test_autograd_registration_check_incorrect_composite_cpu, test/test_custom_ops.py::TestCustomOpTestingCPU::test_autograd_registration_check_incorrect_cpu, test/test_custom_ops.py::TestCustomOpTestingCPU::test_global_state_mutation_cpu, test/test_custom_ops.py::TestCustomOpTestingCPU::test_incorrect_abstract_impl_cpu, test/test_custom_ops.py::TestCustomOpTestingCPU::test_incorrect_schema_mutation_cpu, test/test_custom_ops.py::TestCustomOpTestingCPU::test_incorrect_schema_view_cpu, test/test_custom_ops.py::TestCustomOpTestingCPU::test_missing_abstract_impl_cpu, test/test_custom_ops.py::TestCustomOpTestingCPU::test_missing_functionalization_cpu, test/test_custom_ops.py::TestCustomOpTestingCPU::test_opcheck_fails_basic_cpu, test/test_custom_ops.py::TestCustomOpTestingCPU::test_opcheck_opinfo_NumpyCatCustomOp_cpu_float32, test/test_custom_ops.py::TestCustomOpTestingCPU::test_opcheck_opinfo_NumpyCubeCustomOp_cpu_float32, test/test_custom_ops.py::TestCustomOpTestingCPU::test_opcheck_opinfo_NumpyMulCustomOp_cpu_float32, test/test_custom_ops.py::TestCustomOpTestingCPU::test_opcheck_opinfo_NumpyMulScalarCustomOp_cpu_float32, test/test_custom_ops.py::TestCustomOpTestingCPU::test_opcheck_opinfo_NumpyNMSCustomOp_cpu_float32, test/test_custom_ops.py::TestCustomOpTestingCPU::test_opcheck_opinfo_NumpyNonzeroCustomOp_cpu_float32, test/test_custom_ops.py::TestCustomOpTestingCPU::test_opcheck_opinfo_NumpySortCustomOp_cpu_float32, test/test_custom_ops.py::TestCustomOpTestingCPU::test_opcheck_opinfo_NumpySplitCopyCustomOp_cpu_float32, test/test_custom_ops.py::TestCustomOpTestingCPU::test_opcheck_opinfo_NumpySplitCopyWithIntCustomOp_cpu_float32, test/test_custom_ops.py::TestCustomOpTestingCPU::test_opcheck_opinfo_NumpyTakeCustomOp_cpu_float32, test/test_custom_ops.py::TestCustomOpTestingCPU::test_opcheck_opinfo_NumpyViewCopyCustomOp_cpu_float32, test/test_custom_ops.py::TestCustomOpTestingCPU::test_opcheck_unbacked_stride_cpu
2025-03-14T05:02:27.5364955Z 
2025-03-14T05:02:28.3400769Z Running torch_np/test_nep50_examples 1/1 ... [2025-03-14 05:02:28.339064]
2025-03-14T05:02:28.3401621Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:02:28.3403562Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/test_nep50_examples.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'] ... [2025-03-14 05:02:28.339486]
2025-03-14T05:02:31.1482636Z Running profiler/test_cpp_thread 1/1 ... [2025-03-14 05:02:31.147804]
2025-03-14T05:02:31.1483592Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:02:31.1485463Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'profiler/test_cpp_thread.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'] ... [2025-03-14 05:02:31.148211]
2025-03-14T05:02:34.3649927Z 
2025-03-14T05:02:34.3650964Z torch_np/test_nep50_examples 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_nep50_examples_1.1_79008101e1f9f77a_.log
2025-03-14T05:02:34.4404638Z Running 1573 items in this shard: test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_3j + array(3, complex64), test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_True + uint8(2), test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array(1_0, float32) + 1e-14 == 1_0, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([0_1], float32) == float64(0_1), test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([100], uint8) + 200, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1], uint8) + 1, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1], uint8) + 200, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1], uint8) + 300, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1], uint8) + array(1, int64), test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1], uint8) + int64(1), test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1_0], float32) + 1e-14 == 1_0, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1_], float32) + 3, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1_], float32) + array(1_, float64), test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1_], float32) + float64(1_), test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1_], float32) + int64(3), test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_bool_(True) + 1, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_float32(1) + 1j, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_float32(1) + 3e100, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_float32(5) + 5j, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_int16(2) + 2, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_int16(4) + 4j, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_int32(1) + 5j, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_uint8(1) + 2, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_uint8(1) + 300, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_uint8(100) + 200, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar27_array27, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar28_array28, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar29_array29, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar30_array30, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar31_array31, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar32_array32, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar33_array33, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar34_array34, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar35_array35, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_1_array10, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_1_array11, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_1_array12, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_1_array13, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_1_array14, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_1_array15, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_1_array16, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_1_array17, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_1_array9, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_2_0_array18, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_2_0_array19, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_2_0_array20, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_2_0_array21, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_2_0_array22, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_2_0_array23, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_2_0_array24, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_2_0_array25, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_2_0_array26, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_True_array0, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_True_array1, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_True_array2, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_True_array3, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_True_array4, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_True_array5, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_True_array6, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_True_array7, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_True_array8, 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test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_2_0_array20_dtype20, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_2_0_array21_dtype21, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_2_0_array22_dtype22, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_2_0_array23_dtype23, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_2_0_array24_dtype24, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_2_0_array25_dtype25, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_2_0_array26_dtype26, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array0_dtype0, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array1_dtype1, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array2_dtype2, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array3_dtype3, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array4_dtype4, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array5_dtype5, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array6_dtype6, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array7_dtype7, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array8_dtype8
2025-03-14T05:02:34.5135631Z 
2025-03-14T05:02:34.8182117Z 
2025-03-14T05:02:34.8183403Z profiler/test_cpp_thread 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_cpp_thread_1.1_26e32d893fc1da3f_.log
2025-03-14T05:02:34.8187189Z Running 6 items in this shard: test/profiler/test_cpp_thread.py::CppThreadTestCUDA::test_profile_memory_cuda, test/profiler/test_cpp_thread.py::CppThreadTestCUDA::test_with_enable_profiler_in_child_thread_cuda, test/profiler/test_cpp_thread.py::CppThreadTestCUDA::test_without_enable_profiler_in_child_thread_cuda, test/profiler/test_cpp_thread.py::CppThreadTestXPU::test_profile_memory_xpu, test/profiler/test_cpp_thread.py::CppThreadTestXPU::test_with_enable_profiler_in_child_thread_xpu, test/profiler/test_cpp_thread.py::CppThreadTestXPU::test_without_enable_profiler_in_child_thread_xpu
2025-03-14T05:02:34.8189793Z 
2025-03-14T05:02:38.0877524Z Running test_hub 1/1 ... [2025-03-14 05:02:38.087291]
2025-03-14T05:02:38.0878187Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:02:38.0879858Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 05:02:38.087656]
2025-03-14T05:02:38.5173829Z Running inductor/test_layout_optim 1/1 ... [2025-03-14 05:02:38.516968]
2025-03-14T05:02:38.5174922Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:02:38.5177038Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_layout_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'] ... [2025-03-14 05:02:38.517337]
2025-03-14T05:02:41.6280832Z 
2025-03-14T05:02:41.6281812Z test_hub 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_hub_1.1_6051035ff08b0098_.log
2025-03-14T05:02:41.6282648Z 
2025-03-14T05:02:45.4031701Z Running export/test_torchbind 1/1 ... [2025-03-14 05:02:45.402746]
2025-03-14T05:02:45.4032458Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:02:45.4034561Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/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'] ... [2025-03-14 05:02:45.403160]
2025-03-14T05:02:46.2349301Z 
2025-03-14T05:02:46.2350602Z inductor/test_layout_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_layout_optim_1.1_713b2049f9cff519_.log
2025-03-14T05:02:46.2351368Z 
2025-03-14T05:02:49.6475516Z 
2025-03-14T05:02:49.6476688Z test_proxy_tensor 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_proxy_tensor_1.2_6da5e84f465fa955_.log
2025-03-14T05:02:49.7363143Z Running 1778 items in this shard: test/test_proxy_tensor.py::TestGenericProxyTensorReal::test_allclose, test/test_proxy_tensor.py::TestGenericProxyTensorReal::test_amp_cache, test/test_proxy_tensor.py::TestGenericProxyTensorReal::test_constant_proxy_tensor_mut, test/test_proxy_tensor.py::TestGenericProxyTensorReal::test_constant_random, test/test_proxy_tensor.py::TestGenericProxyTensorReal::test_constant_unbind, test/test_proxy_tensor.py::TestGenericProxyTensorReal::test_decomp_of_capture, test/test_proxy_tensor.py::TestGenericProxyTensorReal::test_isolated_graphmodule, test/test_proxy_tensor.py::TestGenericProxyTensorReal::test_make_fx_model_double_param, test/test_proxy_tensor.py::TestGenericProxyTensorReal::test_make_fx_model_fwd_bwd_wgtupdate, test/test_proxy_tensor.py::TestGenericProxyTensorReal::test_make_fx_overloads, test/test_proxy_tensor.py::TestGenericProxyTensorReal::test_make_fx_reentrant_dispatch, test/test_proxy_tensor.py::TestGenericProxyTensorReal::test_make_fx_simple, test/test_proxy_tensor.py::TestGenericProxyTensorReal::test_partial_decomp, test/test_proxy_tensor.py::TestGenericProxyTensorReal::test_pre_dispatch_functionalization_view_op, test/test_proxy_tensor.py::TestGenericProxyTensorReal::test_pre_dispatch_mode_stack, test/test_proxy_tensor.py::TestGenericProxyTensorReal::test_resnet18_backward_trace, test/test_proxy_tensor.py::TestGenericProxyTensorReal::test_scalar_device, test/test_proxy_tensor.py::TestGenericProxyTensorReal::test_strides, test/test_proxy_tensor.py::TestGenericProxyTensorReal::test_tensor_constants, test/test_proxy_tensor.py::TestGenericProxyTensorReal::test_trace_subclasses, test/test_proxy_tensor.py::TestGenericProxyTensorReal::test_varargs, test/test_proxy_tensor.py::TestGenericProxyTensorFake::test_allclose, test/test_proxy_tensor.py::TestGenericProxyTensorFake::test_constant_blowup, test/test_proxy_tensor.py::TestGenericProxyTensorFake::test_constant_unbind, test/test_proxy_tensor.py::TestGenericProxyTensorFake::test_empty_like_doesnt_burn_in_defaults, test/test_proxy_tensor.py::TestGenericProxyTensorFake::test_isolated_graphmodule, test/test_proxy_tensor.py::TestGenericProxyTensorFake::test_make_fx_model_fwd_bwd, test/test_proxy_tensor.py::TestGenericProxyTensorFake::test_make_fx_model_fwd_bwd_wgtupdate, test/test_proxy_tensor.py::TestGenericProxyTensorFake::test_partial_decomp, test/test_proxy_tensor.py::TestGenericProxyTensorFake::test_pr_86917, test/test_proxy_tensor.py::TestGenericProxyTensorFake::test_pre_dispatch_functionalization_view_op, test/test_proxy_tensor.py::TestGenericProxyTensorFake::test_pre_dispatch_no_grad, test/test_proxy_tensor.py::TestGenericProxyTensorFake::test_proxy_tensor_mode_with_decomp_table_preserves_proxy, test/test_proxy_tensor.py::TestGenericProxyTensorFake::test_resnet18_backward_trace, test/test_proxy_tensor.py::TestGenericProxyTensorFake::test_scalar_device, test/test_proxy_tensor.py::TestGenericProxyTensorFake::test_val_metadata_mutation, test/test_proxy_tensor.py::TestGenericProxyTensorSymbolic::test_amp_cache, test/test_proxy_tensor.py::TestGenericProxyTensorSymbolic::test_constant_proxy_tensor_mut, test/test_proxy_tensor.py::TestGenericProxyTensorSymbolic::test_constant_random, test/test_proxy_tensor.py::TestGenericProxyTensorSymbolic::test_constant_unbind, test/test_proxy_tensor.py::TestGenericProxyTensorSymbolic::test_decomp_of_capture, test/test_proxy_tensor.py::TestGenericProxyTensorSymbolic::test_decomposition_interpreter, test/test_proxy_tensor.py::TestGenericProxyTensorSymbolic::test_empty_like_doesnt_burn_in_defaults, test/test_proxy_tensor.py::TestGenericProxyTensorSymbolic::test_make_fx_model_fwd_bwd_wgtupdate, test/test_proxy_tensor.py::TestGenericProxyTensorSymbolic::test_make_fx_overloads, test/test_proxy_tensor.py::TestGenericProxyTensorSymbolic::test_make_fx_reentrant_dispatch, test/test_proxy_tensor.py::TestGenericProxyTensorSymbolic::test_make_fx_simple, test/test_proxy_tensor.py::TestGenericProxyTensorSymbolic::test_mode_tracing_factory_function, test/test_proxy_tensor.py::TestGenericProxyTensorSymbolic::test_partial_decomp, test/test_proxy_tensor.py::TestGenericProxyTensorSymbolic::test_pr_86917, test/test_proxy_tensor.py::TestGenericProxyTensorSymbolic::test_pre_dispatch_functionalization, test/test_proxy_tensor.py::TestGenericProxyTensorSymbolic::test_pre_dispatch_functionalization_view_op, test/test_proxy_tensor.py::TestGenericProxyTensorSymbolic::test_pre_dispatch_no_grad, test/test_proxy_tensor.py::TestGenericProxyTensorSymbolic::test_strides, test/test_proxy_tensor.py::TestGenericProxyTensorSymbolic::test_trace_subclasses, test/test_proxy_tensor.py::TestGenericProxyTensorSymbolic::test_varargs, test/test_proxy_tensor.py::TestRealProxyTensor::test_error_on_data_dependent_ops, test/test_proxy_tensor.py::TestFakeProxyTensor::test_fake_tensor_mode, test/test_proxy_tensor.py::TestFakeProxyTensor::test_fused_adam, test/test_proxy_tensor.py::TestFakeProxyTensor::test_meta, test/test_proxy_tensor.py::TestSymbolicTracing::test_adv_index_batch, test/test_proxy_tensor.py::TestSymbolicTracing::test_broadcast_shapes, test/test_proxy_tensor.py::TestSymbolicTracing::test_constant_specialization, test/test_proxy_tensor.py::TestSymbolicTracing::test_debug_interpreter, test/test_proxy_tensor.py::TestSymbolicTracing::test_dynamic_pointwise_scalar, test/test_proxy_tensor.py::TestSymbolicTracing::test_elementwise_meta_with_sym_numbers, test/test_proxy_tensor.py::TestSymbolicTracing::test_expand, test/test_proxy_tensor.py::TestSymbolicTracing::test_fake_tensor_as_size, test/test_proxy_tensor.py::TestSymbolicTracing::test_guard_lowerbound_range_refinement, test/test_proxy_tensor.py::TestSymbolicTracing::test_guard_upperbound_range_refinement, test/test_proxy_tensor.py::TestSymbolicTracing::test_guard_upperbound_range_refinement_multivariate, test/test_proxy_tensor.py::TestSymbolicTracing::test_guards_equal, test/test_proxy_tensor.py::TestSymbolicTracing::test_int_input, test/test_proxy_tensor.py::TestSymbolicTracing::test_item_to_constructor, test/test_proxy_tensor.py::TestSymbolicTracing::test_mega_guard, test/test_proxy_tensor.py::TestSymbolicTracing::test_metadata, test/test_proxy_tensor.py::TestSymbolicTracing::test_metadata_fresh, test/test_proxy_tensor.py::TestSymbolicTracing::test_multiply_shape, test/test_proxy_tensor.py::TestSymbolicTracing::test_non_deduped_shape, test/test_proxy_tensor.py::TestSymbolicTracing::test_nonidentity_transitive_guards, test/test_proxy_tensor.py::TestSymbolicTracing::test_repeat_interleave, test/test_proxy_tensor.py::TestSymbolicTracing::test_repeat_interleave_unbacked_output_size, test/test_proxy_tensor.py::TestSymbolicTracing::test_reshape_divisibility_unbacked, test/test_proxy_tensor.py::TestSymbolicTracing::test_return_symint, test/test_proxy_tensor.py::TestSymbolicTracing::test_setitem_symint, test/test_proxy_tensor.py::TestSymbolicTracing::test_sym_storage_offset, test/test_proxy_tensor.py::TestSymbolicTracing::test_symbolic_repeat_interleave, test/test_proxy_tensor.py::TestSymbolicTracing::test_symint_to_tensor, test/test_proxy_tensor.py::TestSymbolicTracing::test_unary, test/test_proxy_tensor.py::TestSymbolicTracing::test_unbacked_unify_guard_transitivity, test/test_proxy_tensor.py::TestSymbolicTracing::test_view_divisibility_unbacked, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_NumpyCatCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_NumpyNonzeroCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_NumpySortCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_NumpyTakeCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_T_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive___rmatmul___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive___rpow___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive__native_batch_norm_legit_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive__segment_reduce_offsets_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive__unsafe_masked_index_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive__unsafe_masked_index_put_accumulate_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive__upsample_bilinear2d_aa_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_abs_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_add_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_addbmm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_addmm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_addmm_decomposed_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_addmv_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_all_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_allclose_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_aminmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_argmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_as_strided_partial_views_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_as_strided_scatter_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_atan2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_atan_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_atanh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_atleast_2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_atleast_3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_bernoulli_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_bfloat16_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_block_diag_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_bool_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_broadcast_shapes_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_broadcast_to_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_byte_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_cartesian_prod_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_cdist_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_cdouble_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_cfloat_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_char_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_cholesky_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_cholesky_inverse_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_clamp_min_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_clone_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_column_stack_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_combinations_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_cond_simple_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_conj_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_conj_physical_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_cosh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_count_nonzero_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_cross_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_cummax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_cumsum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_cumulative_trapezoid_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_diag_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_diagflat_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_diagonal_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_dist_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_div_floor_rounding_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_div_no_rounding_mode_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_dsplit_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_empty_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_erfc_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_exp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_expand_as_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_eye_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_fft_fft_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_fft_fftn_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_fft_hfft_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_fft_ifft2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_fft_ifft_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_fft_ifftn_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_fft_ihfft_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_fft_irfft2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_fft_irfft_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_fft_irfftn_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_fill_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_flatten_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_flex_attention_simple_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_fliplr_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_float_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_float_power_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_floor_divide_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_fmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_fmin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_fmod_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_frac_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_frexp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_full_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_full_like_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_geometric_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_geqrf_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_gt_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_heaviside_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_histogramdd_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_hstack_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_hypot_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_i0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_index_add_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_index_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_index_fill_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_index_put_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_index_reduce_amax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_index_reduce_mean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_invoke_quant_packed_simple_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_invoke_quant_simple_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_isclose_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_isnan_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_item_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_jiterator_2inputs_2outputs_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_jiterator_4inputs_with_extra_args_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_jiterator_binary_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_jiterator_unary_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_kron_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_lerp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_cond_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_det_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_diagonal_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_eig_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_lstsq_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_lu_factor_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_lu_factor_ex_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_matrix_power_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_matrix_rank_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_norm_subgradients_at_zero_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_pinv_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_pinv_singular_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_qr_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_solve_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_solve_triangular_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_tensorinv_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_vander_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_vector_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_log_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_log_normal_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_log_softmax_with_dtype_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_logaddexp2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_logaddexp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_logical_xor_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_lu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_lu_unpack_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_mH_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_mT_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_map_triple_nested_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_masked_amax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_masked_amin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_masked_argmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_masked_argmin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_masked_cumprod_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_masked_cumsum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_masked_logaddexp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_masked_logsumexp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_masked_median_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_masked_softmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_masked_softmin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_masked_std_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_masked_var_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_matmul_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_matrix_exp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_max_pool2d_with_indices_backward_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_max_reduction_no_dim_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_median_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_meshgrid_list_of_tensors_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_min_reduction_with_dim_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_minimum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_mm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_mode_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_movedim_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_msort_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_mul_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_multinomial_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_mv_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nan_to_num_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nanmean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nanmedian_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nanquantile_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_narrow_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_neg_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_new_empty_strided_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_new_ones_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_new_zeros_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_avg_pool2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_avg_pool3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_bilinear_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_binary_cross_entropy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_celu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_channel_shuffle_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_conv1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_conv3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_conv_transpose1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_cosine_embedding_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_cosine_similarity_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_dropout2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_dropout_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_embedding_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_fractional_max_pool2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_gaussian_nll_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_group_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_hardshrink_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_hardsigmoid_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_hinge_embedding_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_interpolate_linear_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_interpolate_trilinear_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_kl_div_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_leaky_relu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_logsigmoid_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_margin_ranking_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_max_unpool2d_grad_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_max_unpool3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_mish_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_mse_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_multi_head_attention_forward_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_multi_margin_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_nll_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_normalize_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_pad_circular_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_pad_reflect_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_pad_replicate_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_pdist_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_pixel_unshuffle_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_prelu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_relu6_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_relu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_rrelu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_smooth_l1_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_softmin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_softplus_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_threshold_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_triplet_margin_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_unfold_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nonzero_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_norm_fro_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_norm_inf_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_norm_nuc_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_normal_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_normal_in_place_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_normal_number_mean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_ones_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_permute_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_polar_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_polygamma_polygamma_n_0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_polygamma_polygamma_n_2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_polygamma_polygamma_n_3_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_polygamma_polygamma_n_4_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_positive_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_pow_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_prod_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_put_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_qr_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_quantile_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_rand_like_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_randn_like_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_ravel_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_real_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_reciprocal_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_renorm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_repeat_interleave_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_reshape_as_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_reshape_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_resize__cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_resize_as__cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_resolve_conj_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_rot90_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_round_decimals_0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_rsqrt_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_scalar_tensor_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_scan_simple_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_scatter_reduce_mean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_scatter_reduce_prod_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_searchsorted_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_sgn_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_sign_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_signal_windows_blackman_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_signal_windows_cosine_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_signal_windows_exponential_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_signal_windows_gaussian_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_signal_windows_general_cosine_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_signal_windows_kaiser_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_signal_windows_nuttall_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_sinc_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_sinh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_slice_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_softmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_sort_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_sparse_mm_reduce_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_sparse_sampled_addmm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_special_airy_ai_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_special_bessel_j0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_special_bessel_j1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_special_bessel_y0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_special_bessel_y1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_special_chebyshev_polynomial_t_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_special_chebyshev_polynomial_u_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_special_erfcx_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_special_hermite_polynomial_h_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_special_i1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_special_legendre_polynomial_p_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_special_log_ndtr_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_special_modified_bessel_i0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_special_modified_bessel_k0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_special_modified_bessel_k1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_special_ndtr_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_special_ndtri_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_special_zeta_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_split_list_args_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_split_with_sizes_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_split_with_sizes_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_square_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_squeeze_multiple_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_stack_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_std_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_sum_to_size_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_svd_lowrank_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_t_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_take_along_dim_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_tan_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_tensordot_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_to_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_trace_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_transpose_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_transpose_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_trapezoid_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_trapz_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_triangular_solve_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_tril_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_true_divide_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_unbind_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_unbind_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_unfold_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_uniform_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_unique_consecutive_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_unsqueeze_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_unsqueeze_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_var_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_var_mean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_vdot_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_view_as_complex_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_view_as_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_vstack_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_where_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_NumpyMulScalarCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_NumpySplitCopyWithIntCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_T_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive___getitem___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive___radd___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive___rmatmul___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive___rmul___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive___rsub___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive__softmax_backward_data_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive__unsafe_masked_index_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_acos_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_acosh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_addbmm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_addmm_decomposed_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_addr_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_all_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_angle_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_arange_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_argmin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_argwhere_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_as_strided_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_as_strided_partial_views_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_asin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_asinh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_atleast_2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_bmm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_broadcast_tensors_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_broadcast_to_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_cat_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_cauchy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_cdouble_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_cholesky_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_cholesky_inverse_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_cholesky_solve_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_chunk_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_clamp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_clamp_min_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_clone_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_column_stack_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_combinations_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_contiguous_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_cos_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_cov_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_cummin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_cumsum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_deg2rad_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_diag_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_diagonal_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_diagonal_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_diagonal_scatter_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_diff_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_div_floor_rounding_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_div_no_rounding_mode_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_double_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_dsplit_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_dstack_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_einsum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_erfinv_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_exp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_expand_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_exponential_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_fft_fft2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_fft_hfft2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_fft_hfft_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_fft_ifft2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_fft_ifft_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_fft_ifftn_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_fft_ihfft_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_fft_irfft_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_flatten_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_flex_attention_backward_simple_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_flip_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_flipud_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_float_power_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_floor_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_floor_divide_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_fmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_fmin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_fmod_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_frexp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_full_like_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_gather_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_ge_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_geometric_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_hsplit_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_hypot_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_i0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_index_put_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_index_reduce_amax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_index_reduce_mean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_index_select_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_inner_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_invoke_quant_packed_simple_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_invoke_subgraph_simple_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_isfinite_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_isin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_isnan_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_isneginf_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_item_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_jiterator_binary_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_jiterator_binary_return_by_ref_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_kron_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_lerp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_lgamma_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_cholesky_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_cholesky_ex_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_diagonal_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_eigh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_eigvals_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_eigvalsh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_ldl_factor_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_ldl_solve_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_lstsq_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_lstsq_grad_oriented_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_lu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_matrix_power_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_matrix_rank_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_multi_dot_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_pinv_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_pinv_singular_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_qr_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_slogdet_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_solve_ex_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_svd_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_svdvals_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_tensorinv_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_tensorsolve_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_vecdot_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linspace_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linspace_tensor_overload_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_log10_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_log1p_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_log_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_logaddexp2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_logaddexp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_logdet_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_logical_and_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_logical_xor_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_logspace_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_logsumexp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_lt_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_lu_unpack_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_mT_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_map_nested_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_map_simple_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_masked_amax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_masked_argmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_masked_argmin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_masked_cumprod_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_masked_log_softmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_masked_logsumexp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_masked_mean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_masked_normalize_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_masked_scatter_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_masked_std_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_matmul_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_max_reduction_no_dim_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_meshgrid_variadic_tensors_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_min_binary_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_min_reduction_with_dim_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_mm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_mode_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_msort_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_mv_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nan_to_num_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nanmean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nanmedian_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nanquantile_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_narrow_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_native_dropout_backward_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_new_empty_strided_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_new_full_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_new_ones_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_new_zeros_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nextafter_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_avg_pool2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_binary_cross_entropy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_conv2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_conv3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_conv_transpose1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_cosine_embedding_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_cosine_similarity_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_cross_entropy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_ctc_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_dropout2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_dropout_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_embedding_bag_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_embedding_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_fractional_max_pool3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_glu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_grid_sample_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_group_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_hardshrink_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_hardtanh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_hinge_embedding_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_huber_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_instance_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_interpolate_nearest_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_l1_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_layer_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_margin_ranking_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_max_pool1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_max_pool2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_max_pool3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_max_unpool1d_grad_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_max_unpool2d_grad_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_max_unpool3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_max_unpool3d_grad_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_mish_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_multi_margin_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_normalize_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_pad_circular_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_pad_constant_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_pad_reflect_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_pad_replicate_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_pad_replicate_negative_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_pdist_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_pixel_shuffle_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_pixel_unshuffle_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_poisson_nll_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_prelu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_relu6_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_rrelu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_selu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_smooth_l1_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_soft_margin_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_softmin_with_dtype_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_softplus_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_softsign_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_triplet_margin_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_unfold_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_upsample_bilinear_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_upsample_nearest_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_norm_inf_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_norm_nuc_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_ones_like_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_pca_lowrank_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_permute_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_permute_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_polygamma_polygamma_n_0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_polygamma_polygamma_n_2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_polygamma_polygamma_n_3_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_polygamma_polygamma_n_4_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_pow_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_rad2deg_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_randint_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_randint_like_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_randn_like_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_repeat_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_repeat_interleave_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_reshape_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_resize_as__cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_resolve_conj_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_roll_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_round_decimals_0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_scalar_tensor_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_scan_simple_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_scatter_add_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_scatter_reduce_amax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_scatter_reduce_mean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_scatter_reduce_prod_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_select_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_select_scatter_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_signal_windows_cosine_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_signal_windows_exponential_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_signal_windows_gaussian_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_signal_windows_general_cosine_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_signal_windows_general_hamming_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_signal_windows_hamming_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_signal_windows_hann_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_signal_windows_kaiser_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_sinh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_softmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_softmax_with_dtype_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_sort_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_sparse_sampled_addmm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_special_bessel_j0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_special_bessel_j1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_special_bessel_y1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_special_chebyshev_polynomial_u_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_special_chebyshev_polynomial_v_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_special_hermite_polynomial_h_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_special_laguerre_polynomial_l_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_special_legendre_polynomial_p_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_special_modified_bessel_i0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_special_modified_bessel_k0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_special_ndtri_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_special_scaled_modified_bessel_k0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_special_shifted_chebyshev_polynomial_w_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_special_spherical_bessel_j0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_special_xlog1py_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_split_list_args_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_sqrt_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_square_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_stack_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_std_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_std_mean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_std_unbiased_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_sub_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_svd_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_svd_lowrank_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_t_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_t_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_take_along_dim_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_take_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_tensor_split_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_tile_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_to_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_trapezoid_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_trapz_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_tril_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_true_divide_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_unfold_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_uniform_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_unsafe_chunk_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_unsafe_split_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_unsqueeze_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_unsqueeze_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_var_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_var_mean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_var_unbiased_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_view_as_complex_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_view_as_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_vsplit_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_vstack_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_while_loop_simple_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_zeros_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_zeros_like_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_H_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_NumpyCatCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_NumpyMulCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_NumpyMulScalarCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_NumpyNMSCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_NumpyNonzeroCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_NumpySortCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_NumpyTakeCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_NumpyViewCopyCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_T_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive___getitem___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive___rdiv___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive___rmatmul___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive___rmod___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive__chunk_cat_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive__native_batch_norm_legit_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive__softmax_backward_data_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive__upsample_bilinear2d_aa_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_abs_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_acosh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_addbmm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_addcmul_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_addmm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_addmv_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_alias_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_all_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_amax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_amin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_aminmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_angle_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_arange_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_argwhere_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_as_strided_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_as_strided_partial_views_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_asinh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_atan2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_atan_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_atleast_1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_atleast_2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_atleast_3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_bernoulli_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_bfloat16_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_bmm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_bool_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_bucketize_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cat_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cauchy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_ceil_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cfloat_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_chalf_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cholesky_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cholesky_inverse_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cholesky_solve_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_chunk_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_clone_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_combinations_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_complex_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_conj_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_contiguous_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_copysign_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_count_nonzero_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cov_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cummin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cumprod_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cumulative_trapezoid_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_deg2rad_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_diag_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_diag_embed_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_diagflat_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_diagonal_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_diagonal_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_diagonal_scatter_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_diff_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_dist_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_div_floor_rounding_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_div_no_rounding_mode_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_div_trunc_rounding_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_double_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_dsplit_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_empty_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_empty_permuted_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_equal_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_exp2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_expand_as_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_expand_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_expm1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_exponential_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_eye_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_fft_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_fftshift_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_hfft_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_hfftn_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_ifftn_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_ifftshift_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_ihfft2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_ihfft_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_irfft2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_flex_attention_backward_simple_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_float_power_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fmod_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_full_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_gather_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_ge_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_geqrf_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_gt_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_half_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_heaviside_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_histc_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_histogram_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_hsplit_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_i0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_igamma_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_index_add_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_index_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_index_put_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_index_reduce_amax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_index_reduce_amin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_index_reduce_prod_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inner_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_NumpyCatCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_NumpyCubeCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_NumpyMulScalarCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_NumpySortCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_NumpySplitCopyWithIntCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_NumpyViewCopyCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace___getitem___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace___rmatmul___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace___rsub___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace__chunk_cat_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace__segment_reduce_offsets_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace__softmax_backward_data_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_abs_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_acos_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_acosh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_add_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_addcmul_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_addmm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_addmm_decomposed_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_all_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_allclose_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_amax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_amin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_aminmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_argmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_argsort_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_as_strided_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_as_strided_partial_views_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_asin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_asinh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_atan_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_baddbmm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_bernoulli_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_block_diag_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_bmm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_broadcast_shapes_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_cartesian_prod_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_cat_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_cauchy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_chalf_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_cholesky_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_cholesky_inverse_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_cholesky_solve_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_clamp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_clamp_max_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_clamp_min_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_conj_physical_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_constant_pad_nd_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_contiguous_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_copysign_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_corrcoef_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_cos_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_cosh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_cumsum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_cumulative_trapezoid_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_deg2rad_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_diagflat_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_digamma_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_dist_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_div_floor_rounding_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_div_trunc_rounding_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_dot_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_dstack_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_empty_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_empty_like_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_empty_permuted_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_equal_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_erf_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_erfc_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_exp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_expand_as_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_expand_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_expm1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_exponential_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fft_fft2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fft_fftn_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fft_fftshift_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fft_hfft2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fft_hfft_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fft_ifft_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fft_ifftn_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fft_ifftshift_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fft_ihfft2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fft_ihfft_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fft_irfft2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fft_irfft_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fft_irfftn_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fill_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_flip_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fliplr_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_float_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_floor_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_frexp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_ge_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_geometric_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_grid_sampler_2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_heaviside_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_histc_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_histogram_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_histogramdd_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_hsplit_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_hypot_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_i0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_index_add_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_index_put_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_index_reduce_amin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_inner_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_isfinite_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_isin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_isinf_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_isnan_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_isposinf_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_item_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_jiterator_2inputs_2outputs_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_jiterator_4inputs_with_extra_args_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_jiterator_binary_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_jiterator_binary_return_by_ref_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_kthvalue_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_lgamma_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_cholesky_ex_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_cross_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_eigh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_eigvals_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_eigvalsh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_inv_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_ldl_solve_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_lstsq_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_lstsq_grad_oriented_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_lu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_lu_factor_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_lu_factor_ex_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_lu_solve_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_matrix_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_matrix_rank_hermitian_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_pinv_singular_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_solve_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_solve_ex_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_svdvals_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_vander_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_vecdot_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_log_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_log_normal_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_log_softmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_logaddexp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_logical_and_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_logical_or_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_logit_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_logspace_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_logspace_tensor_overload_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_logsumexp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_long_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_lu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_lu_solve_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_masked_amax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_masked_logaddexp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_masked_logsumexp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_masked_mean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_masked_median_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_masked_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_masked_sum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_max_pool2d_with_indices_backward_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_max_reduction_with_dim_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_mean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_median_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_minimum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_mm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_mode_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_movedim_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_msort_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_mul_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_multinomial_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_mv_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nanquantile_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_native_layer_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_neg_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_new_empty_strided_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_new_full_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_alpha_dropout_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_avg_pool1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_avg_pool2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_avg_pool3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_batch_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_conv_transpose1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_conv_transpose2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_cosine_embedding_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_cross_entropy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_ctc_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_dropout_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_fractional_max_pool2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_gaussian_nll_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_glu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_grid_sample_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_hardswish_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_hardtanh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_hinge_embedding_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_huber_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_interpolate_area_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_interpolate_bilinear_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_interpolate_nearest_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_leaky_relu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_local_response_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_logsigmoid_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_margin_ranking_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_max_pool1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_max_unpool1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_nll_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_pad_circular_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_pad_replicate_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_pairwise_distance_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_pdist_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_pixel_shuffle_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_pixel_unshuffle_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_relu6_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_selu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_silu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_soft_margin_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_softmin_with_dtype_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_tanhshrink_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_threshold_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_triplet_margin_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nonzero_static_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_norm_fro_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_norm_nuc_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_normal_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_normal_in_place_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_ones_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_pca_lowrank_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_permute_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_pinverse_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_polygamma_polygamma_n_3_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_polygamma_polygamma_n_4_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_positive_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_randint_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_randn_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_renorm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_reshape_as_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_reshape_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_resize__cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_resolve_conj_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_round_decimals_3_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_rsqrt_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_rsub_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_scatter_add_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_scatter_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_scatter_reduce_amax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_scatter_reduce_amin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_scatter_reduce_sum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_select_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_select_scatter_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_sgn_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_short_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_signal_windows_hamming_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_signal_windows_hann_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_signal_windows_nuttall_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_sin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_sinc_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_sinh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_slice_scatter_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_sparse_mm_reduce_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_sparse_sampled_addmm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_airy_ai_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_bessel_j1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_bessel_y0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_bessel_y1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_chebyshev_polynomial_w_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_entr_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_erfcx_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_hermite_polynomial_h_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_i0e_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_modified_bessel_k0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_shifted_chebyshev_polynomial_w_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_spherical_bessel_j0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_xlog1py_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_split_list_args_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_split_with_sizes_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_split_with_sizes_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_squeeze_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_squeeze_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_std_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_std_unbiased_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_sub_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_sum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_svd_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_t_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_t_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_tanh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_tensordot_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_tile_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_trace_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_trapezoid_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_tril_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_true_divide_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_trunc_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_unbind_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_unbind_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_unflatten_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_unfold_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_uniform_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_unique_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_unsafe_split_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_unsqueeze_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_var_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_var_mean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_view_as_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_vstack_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_zero__cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_zeros_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_zeros_like_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_int_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_invoke_subgraph_simple_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_isfinite_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_isin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_isinf_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_isposinf_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_item_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_jiterator_2inputs_2outputs_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_jiterator_binary_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_jiterator_binary_return_by_ref_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_kron_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_kthvalue_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_ldexp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_le_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_lerp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_lgamma_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_cholesky_ex_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_cond_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_cross_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_diagonal_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_eigh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_ldl_solve_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_lstsq_grad_oriented_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_lu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_lu_factor_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_lu_factor_ex_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_matrix_power_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_matrix_rank_hermitian_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_multi_dot_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_pinv_hermitian_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_qr_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_slogdet_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_solve_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_solve_triangular_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_svdvals_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_tensorinv_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_vander_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linspace_tensor_overload_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_log10_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_log_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_log_normal_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_log_softmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_log_softmax_with_dtype_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_logdet_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_logical_and_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_logical_not_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_logical_or_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_logical_xor_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_logit_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_long_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_lu_solve_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_lu_unpack_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_mH_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_mT_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_map_nested_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_map_simple_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_amax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_amin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_cumprod_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_cumsum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_fill_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_logaddexp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_logsumexp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_mean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_median_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_prod_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_select_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_std_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_var_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_max_pool2d_with_indices_backward_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_max_reduction_no_dim_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_max_reduction_with_dim_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_meshgrid_list_of_tensors_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_meshgrid_variadic_tensors_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_min_reduction_no_dim_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_mul_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_multinomial_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_mv_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nanmean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nansum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_narrow_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_native_layer_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_ne_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_new_empty_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_new_ones_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_new_zeros_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nextafter_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_alpha_dropout_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_avg_pool2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_avg_pool3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_batch_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_celu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_channel_shuffle_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_conv1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_conv3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_conv_transpose3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_cosine_embedding_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_elu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_embedding_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_fractional_max_pool3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_gelu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_group_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_hardsigmoid_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_hardswish_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_huber_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_interpolate_bilinear_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_interpolate_linear_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_interpolate_nearest_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_layer_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_leaky_relu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_linear_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_max_pool1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_max_pool2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_max_pool3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_max_unpool1d_grad_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_max_unpool3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_mish_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_mse_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_multi_head_attention_forward_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_multilabel_margin_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_nll_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_normalize_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_pad_circular_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_pad_replicate_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_pairwise_distance_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_pixel_unshuffle_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_poisson_nll_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_relu6_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_relu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_silu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_smooth_l1_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_softplus_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_unfold_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nonzero_static_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_norm_inf_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_norm_nuc_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_normal_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_normal_in_place_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_normal_number_mean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_ones_like_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_ormqr_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_NumpyCatCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_NumpyCubeCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_NumpyNMSCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_NumpySplitCopyWithIntCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_NumpyTakeCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_T_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out___getitem___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out___rmatmul___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out___rmul___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out___rpow___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out___rsub___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out__chunk_cat_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out__softmax_backward_data_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out__unsafe_masked_index_put_accumulate_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out__upsample_bilinear2d_aa_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_addcdiv_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_addmm_decomposed_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_angle_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_any_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_arange_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_argmin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_argsort_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_as_strided_partial_views_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_asin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_atan_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_baddbmm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_bfloat16_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_block_diag_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_bmm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_broadcast_shapes_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_broadcast_tensors_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_byte_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_cartesian_prod_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_cdist_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_cdouble_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_ceil_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_cfloat_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_chalf_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_cholesky_inverse_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_clamp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_clamp_max_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_clone_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_complex_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_conj_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_conj_physical_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_constant_pad_nd_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_copysign_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_corrcoef_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_cos_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_cummax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_cumsum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_cumulative_trapezoid_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_diag_embed_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_diagflat_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_diagonal_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_diagonal_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_diff_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_div_trunc_rounding_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_empty_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_empty_like_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_empty_permuted_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_erfinv_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_exp2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_exp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_expand_as_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_expand_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_exponential_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_fft_fft_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_fft_fftshift_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_fft_hfft_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_fft_hfftn_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_fft_ifftshift_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_fft_ihfftn_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_fft_irfft2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_fft_rfft_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_fft_rfftn_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_flatten_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_flip_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_fliplr_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_flipud_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_float_power_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_floor_divide_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_frac_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_geqrf_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_gt_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_histogram_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_hsplit_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_i0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_index_add_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_index_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_index_fill_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_index_reduce_amax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_inner_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_int_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_isfinite_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_isin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_isinf_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_isreal_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_item_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_jiterator_4inputs_with_extra_args_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_jiterator_binary_return_by_ref_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_lgamma_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_cholesky_ex_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_cross_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_eig_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_eigvals_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_ldl_solve_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_lu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_matrix_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_matrix_rank_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_pinv_hermitian_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_pinv_singular_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_qr_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_slogdet_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_solve_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_solve_triangular_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_svdvals_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_tensorinv_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_tensorsolve_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_vander_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_vector_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_log10_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_log2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_log_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_log_softmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_log_softmax_with_dtype_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_logical_not_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_logical_xor_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_logsumexp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_lt_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_lu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_lu_unpack_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_mH_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_mT_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_masked_amax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_masked_argmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_masked_log_softmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_masked_logaddexp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_masked_logsumexp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_masked_median_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_masked_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_masked_normalize_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_masked_scatter_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_masked_sum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_masked_var_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_matmul_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_max_pool2d_with_indices_backward_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_max_reduction_with_dim_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_maximum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_meshgrid_list_of_tensors_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_min_binary_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_min_reduction_with_dim_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_minimum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_mm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_mode_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_movedim_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_multinomial_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_mv_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nan_to_num_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nanmedian_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_narrow_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_ne_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_new_ones_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_new_zeros_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_alpha_dropout_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_avg_pool1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_avg_pool3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_binary_cross_entropy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_conv1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_conv_transpose2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_cosine_embedding_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_cosine_similarity_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_cross_entropy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_ctc_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_dropout_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_embedding_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_fractional_max_pool2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_fractional_max_pool3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_gaussian_nll_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_gelu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_hardsigmoid_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_huber_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_interpolate_area_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_interpolate_bicubic_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_interpolate_bilinear_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_interpolate_linear_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_interpolate_nearest_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_kl_div_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_layer_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_leaky_relu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_logsigmoid_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_max_pool1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_max_pool3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_max_unpool1d_grad_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_max_unpool2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_max_unpool2d_grad_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_max_unpool3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_max_unpool3d_grad_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_multi_head_attention_forward_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_multi_margin_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_nll_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_pad_constant_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_pad_replicate_negative_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_pixel_shuffle_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_pixel_unshuffle_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_relu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_rms_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_smooth_l1_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_softmin_with_dtype_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_softplus_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_softshrink_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_softsign_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_upsample_bilinear_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_norm_fro_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_normal_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_ones_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_ones_like_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_ormqr_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_pca_lowrank_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_permute_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_pinverse_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_polar_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_polygamma_polygamma_n_1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_polygamma_polygamma_n_2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_polygamma_polygamma_n_3_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_polygamma_polygamma_n_4_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_put_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_qr_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_rad2deg_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_rand_like_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_randn_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_ravel_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_real_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_reciprocal_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_remainder_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_repeat_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_reshape_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_resize__cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_resize_as__cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_round_decimals_0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_round_decimals_3_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_rsqrt_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_scatter_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_scatter_reduce_mean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_scatter_reduce_sum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_sgn_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_sign_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_signal_windows_exponential_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_signal_windows_general_hamming_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_signal_windows_hann_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_signal_windows_kaiser_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_sin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_sinh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_slice_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_softmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_softmax_with_dtype_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_sort_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_sparse_mm_reduce_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_special_airy_ai_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_special_bessel_y0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_special_chebyshev_polynomial_t_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_special_chebyshev_polynomial_w_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_special_hermite_polynomial_h_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_special_hermite_polynomial_he_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_special_i0e_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_special_laguerre_polynomial_l_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_special_legendre_polynomial_p_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_special_log_ndtr_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_special_modified_bessel_i0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_special_modified_bessel_k0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_special_ndtri_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_special_shifted_chebyshev_polynomial_w_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_special_xlog1py_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_special_zeta_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_split_with_sizes_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_squeeze_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_squeeze_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_stack_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_stft_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_sub_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_sum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_take_along_dim_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_tan_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_tensor_split_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_tile_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_topk_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_transpose_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_trapz_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_true_divide_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_unbind_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_unique_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_unsafe_chunk_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_var_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_var_mean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_var_mean_unbiased_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_var_unbiased_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_vdot_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_view_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_view_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_vsplit_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_vstack_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_where_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_xlogy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_zero__cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_zeros_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_zeros_like_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_pca_lowrank_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_permute_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_pinverse_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_polygamma_polygamma_n_0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_polygamma_polygamma_n_3_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_polygamma_polygamma_n_4_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_positive_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_pow_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_prod_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_put_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_rand_like_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_real_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_reciprocal_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_remainder_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_reshape_as_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_reshape_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_resize_as__cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_resolve_neg_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_rot90_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_round_decimals_0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_rsqrt_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_rsub_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_scatter_reduce_prod_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_select_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_select_scatter_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_sigmoid_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_signal_windows_cosine_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_signal_windows_exponential_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_signal_windows_general_cosine_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_signal_windows_kaiser_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_signal_windows_nuttall_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_sinc_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_softmax_with_dtype_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_sparse_mm_reduce_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_bessel_j0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_bessel_y1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_entr_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_erfcx_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_hermite_polynomial_he_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_i1e_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_legendre_polynomial_p_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_log_ndtr_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_modified_bessel_i0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_modified_bessel_i1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_scaled_modified_bessel_k1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_shifted_chebyshev_polynomial_v_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_shifted_chebyshev_polynomial_w_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_split_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_split_list_args_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_split_with_sizes_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_sqrt_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_squeeze_multiple_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_stack_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_sum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_sum_to_size_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_svd_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_t_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_t_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_tanh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_trace_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_transpose_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_trapz_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_tril_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_triu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_trunc_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_unbind_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_unflatten_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_unfold_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_uniform_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_unique_consecutive_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_unique_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_unsqueeze_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_var_mean_unbiased_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_vdot_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_view_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_zeros_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_zeros_like_cpu_float32
2025-03-14T05:02:49.8212965Z 
2025-03-14T05:02:49.8464455Z Running dynamo/test_debug_utils 1/1 ... [2025-03-14 05:02:49.846060]
2025-03-14T05:02:49.8465067Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:02:49.8467244Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_debug_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'] ... [2025-03-14 05:02:49.846435]
2025-03-14T05:02:53.2819016Z Running functorch/test_ac 1/1 ... [2025-03-14 05:02:53.281057]
2025-03-14T05:02:53.2819501Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:02:53.2820904Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_ac.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'] ... [2025-03-14 05:02:53.281419]
2025-03-14T05:02:56.3840224Z 
2025-03-14T05:02:56.3841741Z export/test_torchbind 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_torchbind_1.1_da32a0a1b0b5a869_.log
2025-03-14T05:02:56.3902743Z Running 68 items in this shard: test/export/test_torchbind.py::TestExportTorchbind::test_aot_export_tensor_queue_operators, test/export/test_torchbind.py::TestExportTorchbind::test_attribute_as_custom_op_argument_pre_dispatch_False, test/export/test_torchbind.py::TestExportTorchbind::test_attribute_as_custom_op_argument_pre_dispatch_True, test/export/test_torchbind.py::TestExportTorchbind::test_attribute_pre_dispatch_False, test/export/test_torchbind.py::TestExportTorchbind::test_attribute_pre_dispatch_True, test/export/test_torchbind.py::TestExportTorchbind::test_custom_obj_list_out_pre_dispatch_False, test/export/test_torchbind.py::TestExportTorchbind::test_custom_obj_list_out_pre_dispatch_True, test/export/test_torchbind.py::TestExportTorchbind::test_custom_obj_tuple_out_pre_dispatch_False, test/export/test_torchbind.py::TestExportTorchbind::test_custom_obj_tuple_out_pre_dispatch_True, test/export/test_torchbind.py::TestExportTorchbind::test_deepcopy, test/export/test_torchbind.py::TestExportTorchbind::test_export_inplace_custom_op, test/export/test_torchbind.py::TestExportTorchbind::test_identifying_torchbind_ops, test/export/test_torchbind.py::TestExportTorchbind::test_input_as_custom_op_argument_pre_dispatch_False, test/export/test_torchbind.py::TestExportTorchbind::test_input_as_custom_op_argument_pre_dispatch_True, test/export/test_torchbind.py::TestExportTorchbind::test_input_pre_dispatch_False, test/export/test_torchbind.py::TestExportTorchbind::test_input_pre_dispatch_True, test/export/test_torchbind.py::TestExportTorchbind::test_make_fx_schema_checking_script_object, test/export/test_torchbind.py::TestExportTorchbind::test_make_fx_tensor_queue_methods_fakify_internal_states_make_fx_tracing_mode_fake, test/export/test_torchbind.py::TestExportTorchbind::test_make_fx_tensor_queue_methods_fakify_internal_states_make_fx_tracing_mode_symbolic, test/export/test_torchbind.py::TestExportTorchbind::test_make_fx_tensor_queue_methods_make_fx_tracing_mode_fake, test/export/test_torchbind.py::TestExportTorchbind::test_make_fx_tensor_queue_methods_make_fx_tracing_mode_symbolic, test/export/test_torchbind.py::TestExportTorchbind::test_make_fx_tensor_queue_operators_fallthrough_via_lib_impl, test/export/test_torchbind.py::TestExportTorchbind::test_make_fx_tensor_queue_operators_fallthrough_via_py_impl, test/export/test_torchbind.py::TestExportTorchbind::test_method_schema, test/export/test_torchbind.py::TestExportTorchbind::test_non_strict_export_methods, test/export/test_torchbind.py::TestExportTorchbind::test_none_pre_dispatch_False, test/export/test_torchbind.py::TestExportTorchbind::test_none_pre_dispatch_True, test/export/test_torchbind.py::TestExportTorchbind::test_safe_to_trace_with_real, test/export/test_torchbind.py::TestExportTorchbind::test_torchbind_alias_pre_dispatch_False, test/export/test_torchbind.py::TestExportTorchbind::test_torchbind_alias_pre_dispatch_True, test/export/test_torchbind.py::TestExportTorchbind::test_torchbind_input_and_alias_pre_dispatch_False, test/export/test_torchbind.py::TestExportTorchbind::test_torchbind_input_and_alias_pre_dispatch_True, test/export/test_torchbind.py::TestExportTorchbind::test_torchbind_op_fallthrough_keys_respects_lib_impl, test/export/test_torchbind.py::TestExportTorchbind::test_torchbind_op_register_fallthrough, test/export/test_torchbind.py::TestExportTorchbind::test_unlift_custom_obj_pre_dispatch_False, test/export/test_torchbind.py::TestExportTorchbind::test_unlift_custom_obj_pre_dispatch_True, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_body_aliasing_contents_backend_aot_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_body_aliasing_contents_backend_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_error_on_input_aliasing_contents_backend_aot_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_error_on_input_aliasing_contents_backend_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_error_on_non_fakified_method_backend_aot_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_error_on_non_fakified_method_backend_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_error_on_script_obj_missing_attr_backend_aot_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_error_on_script_obj_missing_attr_backend_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_error_on_script_obj_setattr_backend_aot_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_error_on_script_obj_setattr_backend_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_global_obj_backend_aot_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_global_obj_backend_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_obj_as_hop_input_backend_aot_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_obj_as_hop_input_backend_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_obj_attributes_backend_aot_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_obj_attributes_backend_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_obj_closure_backend_aot_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_obj_closure_backend_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_obj_graph_breaks, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_obj_torchbind_op_backend_aot_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_obj_torchbind_op_backend_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_script_object_input_automatic_dynamic_shape, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_script_object_input_backend_aot_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_script_object_input_backend_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_script_object_input_guards_backend_aot_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_script_object_input_guards_backend_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_tensor_op_in_tensor_flatten_backend_aot_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_tensor_op_in_tensor_flatten_backend_eager, test/export/test_torchbind.py::TestRegisterFakeClass::test_register_fake_class_from_real_not_classmethod, test/export/test_torchbind.py::TestRegisterFakeClass::test_register_fake_class_no_from_real, test/export/test_torchbind.py::TestRegisterFakeClass::test_register_fake_class_no_torch_bind_class, test/export/test_torchbind.py::TestRegisterFakeClass::test_register_fake_class_valid
2025-03-14T05:02:56.3974373Z 
2025-03-14T05:02:56.8248903Z 
2025-03-14T05:02:56.8250320Z dynamo/test_debug_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_debug_utils_1.1_bd0569c92a549b79_.log
2025-03-14T05:03:00.0679648Z 
2025-03-14T05:03:00.0680449Z Running functorch/test_minifier 1/1 ... [2025-03-14 05:03:00.067601]
2025-03-14T05:03:00.0681187Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:03:00.0682958Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 05:03:00.067968]
2025-03-14T05:03:00.4909355Z Running dynamo/test_backends 1/1 ... [2025-03-14 05:03:00.490511]
2025-03-14T05:03:00.4909914Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:03:00.4911842Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_backends.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'] ... [2025-03-14 05:03:00.490897]
2025-03-14T05:03:00.5628527Z 
2025-03-14T05:03:00.5629904Z functorch/test_ac 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ac_1.1_6be853ca5c08651c_.log
2025-03-14T05:03:00.5630950Z 
2025-03-14T05:03:03.9389830Z 
2025-03-14T05:03:03.9391623Z functorch/test_minifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_minifier_1.1_0438498db4a4a2a9_.log
2025-03-14T05:03:03.9395391Z 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
2025-03-14T05:03:03.9397892Z 
2025-03-14T05:03:04.2675454Z Running test_compile_benchmark_util 1/1 ... [2025-03-14 05:03:04.267101]
2025-03-14T05:03:04.2676450Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:03:04.2678721Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 05:03:04.267468]
2025-03-14T05:03:07.5946643Z Running test_complex 1/1 ... [2025-03-14 05:03:07.594231]
2025-03-14T05:03:07.5947296Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:03:07.5949378Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_complex.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'] ... [2025-03-14 05:03:07.594607]
2025-03-14T05:03:07.7531155Z 
2025-03-14T05:03:07.7532287Z dynamo/test_backends 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_backends_1.1_1e00bc29461a0790_.log
2025-03-14T05:03:07.7533028Z 
2025-03-14T05:03:07.9379981Z 
2025-03-14T05:03:07.9381851Z 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_8d6fc6751be77e19_.log
2025-03-14T05:03:07.9384847Z Running 1 items in this shard: test/test_compile_benchmark_util.py::TestCompileBenchmarkUtil::test_training_and_inference
2025-03-14T05:03:07.9386149Z 
2025-03-14T05:03:11.1648055Z 
2025-03-14T05:03:11.1649881Z test_complex 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_complex_1.1_adab7f64389474c8_.log
2025-03-14T05:03:11.1662425Z Running 15 items in this shard: test/test_complex.py::TestComplexTensorCPU::test_all_cpu_complex128, test/test_complex.py::TestComplexTensorCPU::test_all_cpu_complex64, test/test_complex.py::TestComplexTensorCPU::test_any_cpu_complex128, test/test_complex.py::TestComplexTensorCPU::test_any_cpu_complex64, test/test_complex.py::TestComplexTensorCPU::test_conj_copy_cpu_complex128, test/test_complex.py::TestComplexTensorCPU::test_conj_copy_cpu_complex64, test/test_complex.py::TestComplexTensorCPU::test_dtype_inference_cpu_float16, test/test_complex.py::TestComplexTensorCPU::test_dtype_inference_cpu_float32, test/test_complex.py::TestComplexTensorCPU::test_dtype_inference_cpu_float64, test/test_complex.py::TestComplexTensorCPU::test_eq_cpu_complex128, test/test_complex.py::TestComplexTensorCPU::test_eq_cpu_complex64, test/test_complex.py::TestComplexTensorCPU::test_ne_cpu_complex128, test/test_complex.py::TestComplexTensorCPU::test_ne_cpu_complex64, test/test_complex.py::TestComplexTensorCPU::test_to_list_cpu_complex128, test/test_complex.py::TestComplexTensorCPU::test_to_list_cpu_complex64
2025-03-14T05:03:11.1674677Z 
2025-03-14T05:03:11.4443712Z Running test_fx_experimental 1/1 ... [2025-03-14 05:03:11.443996]
2025-03-14T05:03:11.4444577Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:03:11.4447209Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_fx_experimental.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'] ... [2025-03-14 05:03:11.444369]
2025-03-14T05:03:11.6376804Z Running functorch/test_ac_knapsack 1/1 ... [2025-03-14 05:03:11.637235]
2025-03-14T05:03:11.6377656Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:03:11.6379749Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_ac_knapsack.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'] ... [2025-03-14 05:03:11.637606]
2025-03-14T05:03:14.8425293Z Running export/test_swap 1/1 ... [2025-03-14 05:03:14.842102]
2025-03-14T05:03:14.8426003Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:03:14.8428145Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_swap.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'] ... [2025-03-14 05:03:14.842507]
2025-03-14T05:03:15.4576296Z 
2025-03-14T05:03:15.4577756Z functorch/test_ac_knapsack 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ac_knapsack_1.1_2f1b61330a4a5582_.log
2025-03-14T05:03:15.4590085Z Running 15 items in this shard: test/functorch/test_ac_knapsack.py::TestGraphInfoProvider::test_full_joint_nx_graph, test/functorch/test_ac_knapsack.py::TestGraphInfoProvider::test_get_knapsack_memory_input, test/functorch/test_ac_knapsack.py::TestGraphInfoProvider::test_get_knapsack_runtime_input, test/functorch/test_ac_knapsack.py::TestGraphInfoProvider::test_get_non_ac_peak_memory, test/functorch/test_ac_knapsack.py::TestGraphInfoProvider::test_get_theoretical_max_runtime, test/functorch/test_ac_knapsack.py::TestGraphInfoProvider::test_inialize_from_graph, test/functorch/test_ac_knapsack.py::TestGraphInfoProvider::test_recomputable_node_only_graph, test/functorch/test_ac_knapsack.py::TestGraphInfoProvider::test_recomputable_node_only_graph_with_larger_graph_context, test/functorch/test_ac_knapsack.py::TestGraphInfoProvider::test_simplified_fx_joint_graph, test/functorch/test_ac_knapsack.py::TestKnapsackEvaluator::test_evaluate_distribution_of_results_for_knapsack_algo, test/functorch/test_ac_knapsack.py::TestKnapsackEvaluator::test_evaluate_knapsack_output_accounting_for_backward_pass, test/functorch/test_ac_knapsack.py::TestKnapsackEvaluator::test_evaluate_knapsack_output_not_accounting_for_backward_pass, test/functorch/test_ac_knapsack.py::TestKnapsackEvaluator::test_evaluate_knapsack_output_with_wrong_sized_values, test/functorch/test_ac_knapsack.py::TestKnapsackEvaluator::test_get_backward_memory_from_topologically_sorted_graph, test/functorch/test_ac_knapsack.py::TestKnapsackEvaluator::test_get_knee_point_memory_budget
2025-03-14T05:03:15.4602006Z 
2025-03-14T05:03:20.1290706Z Running dynamo/test_verify_correctness 1/1 ... [2025-03-14 05:03:20.128635]
2025-03-14T05:03:20.1291937Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:03:20.1297612Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 05:03:20.129063]
2025-03-14T05:03:21.6803595Z 
2025-03-14T05:03:21.6806128Z export/test_swap 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_swap_1.1_ac329a55eb102f32_.log
2025-03-14T05:03:21.6817977Z Running 18 items in this shard: test/export/test_swap.py::TestSwap_nonstrict::test_custom_input_args, test/export/test_swap.py::TestSwap_nonstrict::test_custom_input_kwargs, test/export/test_swap.py::TestSwap_nonstrict::test_custom_output, test/export/test_swap.py::TestSwap_nonstrict::test_dedup_sym_size, test/export/test_swap.py::TestSwap_nonstrict::test_nested_leaf, test/export/test_swap.py::TestSwap_nonstrict::test_remove_duplicate_pytree_different_order, test/export/test_swap.py::TestSwap_nonstrict::test_remove_duplicate_pytree_simple, test/export/test_swap.py::TestSwap_nonstrict::test_unflatten_preserve_signature, test/export/test_swap.py::TestSwap_nonstrict::test_unflatten_preserve_with_unused_input, test/export/test_swap.py::TestSwap_strict::test_custom_input_args, test/export/test_swap.py::TestSwap_strict::test_custom_input_kwargs, test/export/test_swap.py::TestSwap_strict::test_custom_output, test/export/test_swap.py::TestSwap_strict::test_dedup_sym_size, test/export/test_swap.py::TestSwap_strict::test_nested_leaf, test/export/test_swap.py::TestSwap_strict::test_remove_duplicate_pytree_different_order, test/export/test_swap.py::TestSwap_strict::test_remove_duplicate_pytree_simple, test/export/test_swap.py::TestSwap_strict::test_unflatten_preserve_signature, test/export/test_swap.py::TestSwap_strict::test_unflatten_preserve_with_unused_input
2025-03-14T05:03:21.6829393Z 
2025-03-14T05:03:24.0193820Z 
2025-03-14T05:03:24.0195543Z 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_4040401af39047f5_.log
2025-03-14T05:03:24.0197110Z 
2025-03-14T05:03:26.0108450Z Running export/test_unflatten 1/1 ... [2025-03-14 05:03:26.010474]
2025-03-14T05:03:26.0109009Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:03:26.0111812Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 05:03:26.010862]
2025-03-14T05:03:28.6834291Z Running test_optim 1/1 ... [2025-03-14 05:03:28.682957]
2025-03-14T05:03:28.6835046Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:03:28.6842654Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', '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'] ... [2025-03-14 05:03:28.683496]
2025-03-14T05:03:42.3735896Z 
2025-03-14T05:03:42.3737720Z export/test_unflatten 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_unflatten_1.1_fd659bc6dfa8bc34_.log
2025-03-14T05:03:42.3754606Z Running 25 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_nested, test/export/test_unflatten.py::TestUnflatten::test_unflatten_nested_access, test/export/test_unflatten.py::TestUnflatten::test_unflatten_param_list_dict, test/export/test_unflatten.py::TestUnflatten::test_unflatten_preserve_signature, test/export/test_unflatten.py::TestUnflatten::test_unflatten_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
2025-03-14T05:03:42.3771664Z 
2025-03-14T05:03:46.3671197Z Running test_fx_passes 1/1 ... [2025-03-14 05:03:46.366633]
2025-03-14T05:03:46.3671918Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:03:46.3674889Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_fx_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'] ... [2025-03-14 05:03:46.367073]
2025-03-14T05:03:50.5381017Z 
2025-03-14T05:03:50.5382187Z test_fx_passes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_passes_1.1_51af88d911603a2c_.log
2025-03-14T05:03:50.5403472Z Running 53 items in this shard: test/test_fx_passes.py::TestFXGraphPasses::test_fuser_pass_deep_model, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition0, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition1, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition10, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition11, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition2, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition3, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition4, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition5, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition6, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition7, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition8, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition9, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_xfail_partition0, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_xfail_partition1, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_xfail_partition2, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_xfail_partition3, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn0_expected_partition0_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn10_expected_partition10_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn11_expected_partition11_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn12_expected_partition12_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn13_expected_partition13_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn14_expected_partition14_bookend_non_compute_pass_True, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn15_expected_partition15_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn16_expected_partition16_bookend_non_compute_pass_True, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn17_expected_partition17_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn18_expected_partition18_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn1_expected_partition1_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn2_expected_partition2_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn3_expected_partition3_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn4_expected_partition4_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn5_expected_partition5_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn6_expected_partition6_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn7_expected_partition7_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn8_expected_partition8_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn9_expected_partition9_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_independent_output_fn0_expected_partition0, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model0, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model1, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model10, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model11, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model12, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model13, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model14, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model15, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model2, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model3, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model4, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model5, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model6, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model7, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model8, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model9
2025-03-14T05:03:50.5424185Z 
2025-03-14T05:03:54.1196864Z Running inductor/test_mkldnn_pattern_matcher 1/1 ... [2025-03-14 05:03:54.119180]
2025-03-14T05:03:54.1198600Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:03:54.1205432Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_mkldnn_pattern_matcher.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'] ... [2025-03-14 05:03:54.119592]
2025-03-14T05:04:02.5045312Z 
2025-03-14T05:04:02.5047201Z inductor/test_mkldnn_pattern_matcher 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mkldnn_pattern_matcher_1.1_4fcecb8ff47cc34d_.log
2025-03-14T05:04:02.5048570Z 
2025-03-14T05:04:06.7590019Z Running inductor/test_mmdecomp 1/1 ... [2025-03-14 05:04:06.758452]
2025-03-14T05:04:06.7591380Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:04:06.7594087Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_mmdecomp.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'] ... [2025-03-14 05:04:06.758831]
2025-03-14T05:04:17.2927049Z 
2025-03-14T05:04:17.2928767Z inductor/test_mmdecomp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mmdecomp_1.1_f0feff29a105b5d8_.log
2025-03-14T05:04:17.2947041Z Running 22 items in this shard: test/inductor/test_mmdecomp.py::TestDecompCPU::test_batched_mm_float32_bs_10_cpu_float32, test/inductor/test_mmdecomp.py::TestDecompCPU::test_batched_mm_float32_bs_1_cpu_float32, test/inductor/test_mmdecomp.py::TestDecompCPU::test_batched_mm_float32_bs_2_cpu_float32, test/inductor/test_mmdecomp.py::TestDecompCPU::test_batched_mm_float32_bs_4_cpu_float32, test/inductor/test_mmdecomp.py::TestDecompCPU::test_bmm_batch2_last_dim_size_is_one_cpu, test/inductor/test_mmdecomp.py::TestDecompCPU::test_simple_mm_bfloat16_cpu_bfloat16, test/inductor/test_mmdecomp.py::TestDecompCPU::test_simple_mm_float32_cpu_float32, test/inductor/test_mmdecomp.py::TestDecompCPU::test_some_batched_bfloat16_bs_10_cpu_bfloat16, test/inductor/test_mmdecomp.py::TestDecompCPU::test_some_batched_bfloat16_bs_1_cpu_bfloat16, test/inductor/test_mmdecomp.py::TestDecompCPU::test_some_batched_bfloat16_bs_2_cpu_bfloat16, test/inductor/test_mmdecomp.py::TestDecompCPU::test_some_batched_bfloat16_bs_4_cpu_bfloat16, test/inductor/test_mmdecomp.py::TestDecompCPU::test_some_batched_float32_bs_10_cpu_float32, test/inductor/test_mmdecomp.py::TestDecompCPU::test_some_batched_float32_bs_1_cpu_float32, test/inductor/test_mmdecomp.py::TestDecompCPU::test_some_batched_float32_bs_2_cpu_float32, test/inductor/test_mmdecomp.py::TestDecompCPU::test_some_batched_float32_bs_4_cpu_float32, test/inductor/test_mmdecomp.py::TestDecompCPU::test_some_batched_int32_bs_10_cpu_int32, test/inductor/test_mmdecomp.py::TestDecompCPU::test_some_batched_int32_bs_1_cpu_int32, test/inductor/test_mmdecomp.py::TestDecompCPU::test_some_batched_int32_bs_2_cpu_int32, test/inductor/test_mmdecomp.py::TestDecompCPU::test_some_batched_int32_bs_4_cpu_int32, test/inductor/test_mmdecomp.py::TestDecompCPU::test_some_bfloat16_cpu_bfloat16, test/inductor/test_mmdecomp.py::TestDecompCPU::test_some_float32_cpu_float32, test/inductor/test_mmdecomp.py::TestDecompCPU::test_some_int32_cpu_int32
2025-03-14T05:04:17.2965009Z 
2025-03-14T05:04:20.7832245Z Running inductor/test_cudagraph_trees_expandable_segments 1/1 ... [2025-03-14 05:04:20.782262]
2025-03-14T05:04:20.7832882Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:04:20.7834426Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 05:04:20.782697]
2025-03-14T05:04:29.6948722Z 
2025-03-14T05:04:29.6950043Z 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_bc719c30aa1fd8e7_.log
2025-03-14T05:04:29.6951144Z 
2025-03-14T05:04:33.5570517Z Running dynamo/test_dicts 1/1 ... [2025-03-14 05:04:33.556629]
2025-03-14T05:04:33.5571390Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:04:33.5573826Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_dicts.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'] ... [2025-03-14 05:04:33.557009]
2025-03-14T05:04:36.9891639Z 
2025-03-14T05:04:36.9893012Z dynamo/test_dicts 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_dicts_1.1_d72cb81a449aace6_.log
2025-03-14T05:04:36.9894122Z 
2025-03-14T05:04:38.7860606Z 
2025-03-14T05:04:38.7861597Z test_fx_experimental 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_experimental_1.1_c6cab917aad20158_.log
2025-03-14T05:04:38.8247194Z Running 720 items in this shard: test/test_fx_experimental.py::TestFXExperimental::test_annotate_getitem_node, test/test_fx_experimental.py::TestFXExperimental::test_annotate_returns_with_schema, test/test_fx_experimental.py::TestFXExperimental::test_aot_based_partition, test/test_fx_experimental.py::TestFXExperimental::test_call_to_assert_no_msg, test/test_fx_experimental.py::TestFXExperimental::test_call_to_assert_with_empty_msg, test/test_fx_experimental.py::TestFXExperimental::test_call_to_assert_with_msg, test/test_fx_experimental.py::TestFXExperimental::test_call_to_assert_with_multiline_message, test/test_fx_experimental.py::TestFXExperimental::test_conv_bn_fusion, test/test_fx_experimental.py::TestFXExperimental::test_conv_bn_fusion_mixed_dtype, test/test_fx_experimental.py::TestFXExperimental::test_conv_bn_fusion_not_running_state, test/test_fx_experimental.py::TestFXExperimental::test_cost_aware_partition, 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test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_softmax_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_softmax_with_dtype_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_sort_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_sparse_mm_reduce_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_sparse_sampled_addmm_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_special_airy_ai_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_special_bessel_j0_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_special_bessel_j1_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_special_bessel_y0_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_special_bessel_y1_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_special_chebyshev_polynomial_t_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_special_chebyshev_polynomial_u_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_special_chebyshev_polynomial_v_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_special_chebyshev_polynomial_w_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_special_entr_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_special_erfcx_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_special_hermite_polynomial_h_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_special_hermite_polynomial_he_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_special_i0e_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_special_i1_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_special_i1e_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_special_laguerre_polynomial_l_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_special_legendre_polynomial_p_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_special_log_ndtr_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_special_modified_bessel_i0_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_special_modified_bessel_i1_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_special_modified_bessel_k0_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_special_modified_bessel_k1_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_special_ndtr_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_special_ndtri_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_special_scaled_modified_bessel_k0_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_special_scaled_modified_bessel_k1_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_special_shifted_chebyshev_polynomial_v_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_special_shifted_chebyshev_polynomial_w_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_special_spherical_bessel_j0_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_special_xlog1py_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_special_zeta_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_split_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_split_list_args_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_split_with_sizes_copy_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_split_with_sizes_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_sqrt_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_square_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_squeeze_copy_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_squeeze_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_squeeze_multiple_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_stack_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_std_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_std_mean_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_std_mean_unbiased_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_std_unbiased_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_stft_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_sub_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_sum_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_sum_to_size_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_svd_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_svd_lowrank_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_t_copy_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_t_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_take_along_dim_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_take_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_tan_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_tanh_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_tensor_split_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_tensordot_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_tile_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_to_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_to_sparse_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_topk_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_trace_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_transpose_copy_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_transpose_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_trapezoid_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_trapz_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_triangular_solve_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_tril_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_triu_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_true_divide_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_trunc_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_unbind_copy_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_unbind_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_unflatten_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_unfold_copy_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_unfold_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_uniform_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_unique_consecutive_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_unique_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_unsafe_chunk_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_unsafe_split_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_unsqueeze_copy_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_unsqueeze_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_var_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_var_mean_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_var_mean_unbiased_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_var_unbiased_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_vdot_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_view_as_complex_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_view_as_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_view_copy_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_view_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_vsplit_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_vstack_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_where_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_xlogy_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_zero__cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_zeros_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_zeros_like_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_quantized_eb_cpu
2025-03-14T05:04:38.8655498Z 
2025-03-14T05:04:40.7268356Z Running test_legacy_vmap 1/1 ... [2025-03-14 05:04:40.726297]
2025-03-14T05:04:40.7269169Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:04:40.7271445Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_legacy_vmap.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'] ... [2025-03-14 05:04:40.726741]
2025-03-14T05:04:42.9176924Z Running test_cuda_sanitizer 1/1 ... [2025-03-14 05:04:42.917195]
2025-03-14T05:04:42.9179890Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:04:42.9181952Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_cuda_sanitizer.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'] ... [2025-03-14 05:04:42.917670]
2025-03-14T05:04:46.9120055Z 
2025-03-14T05:04:46.9121953Z test_cuda_sanitizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_sanitizer_1.1_57a5feb6cdf2a86b_.log
2025-03-14T05:04:46.9123675Z Running 0 items in this shard:
2025-03-14T05:04:46.9124217Z 
2025-03-14T05:04:47.7007277Z 
2025-03-14T05:04:47.7008960Z test_legacy_vmap 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_legacy_vmap_1.1_66531493d3d9bebc_.log
2025-03-14T05:04:47.7071408Z Running 124 items in this shard: test/test_legacy_vmap.py::TestVmapAPILegacy::test_accepts_nested_inputs, test/test_legacy_vmap.py::TestVmapAPILegacy::test_backward_unsupported_interaction, test/test_legacy_vmap.py::TestVmapAPILegacy::test_batched_gradient_basic, test/test_legacy_vmap.py::TestVmapAPILegacy::test_constant_function, test/test_legacy_vmap.py::TestVmapAPILegacy::test_different_map_dim_size_raises, test/test_legacy_vmap.py::TestVmapAPILegacy::test_fallback_atan2, test/test_legacy_vmap.py::TestVmapAPILegacy::test_fallback_does_not_warn_by_default, test/test_legacy_vmap.py::TestVmapAPILegacy::test_fallback_masked_fill, test/test_legacy_vmap.py::TestVmapAPILegacy::test_fallback_multiple_returns, test/test_legacy_vmap.py::TestVmapAPILegacy::test_fallback_warns_when_warnings_are_enabled, test/test_legacy_vmap.py::TestVmapAPILegacy::test_fallback_with_undefined_grad, test/test_legacy_vmap.py::TestVmapAPILegacy::test_fallback_zero_dim, test/test_legacy_vmap.py::TestVmapAPILegacy::test_func_with_no_inputs, test/test_legacy_vmap.py::TestVmapAPILegacy::test_functools_partial, test/test_legacy_vmap.py::TestVmapAPILegacy::test_grad_unsupported_interaction, test/test_legacy_vmap.py::TestVmapAPILegacy::test_in_dim_not_in_tensor_err_msg, test/test_legacy_vmap.py::TestVmapAPILegacy::test_in_dims_wrong_type_err_msg, test/test_legacy_vmap.py::TestVmapAPILegacy::test_inplace_fallback_nary_different_levels, test/test_legacy_vmap.py::TestVmapAPILegacy::test_inplace_fallback_nary_same_levels, test/test_legacy_vmap.py::TestVmapAPILegacy::test_inplace_fallback_unary, test/test_legacy_vmap.py::TestVmapAPILegacy::test_integer_in_dim_but_not_tensor_input_err_msg, test/test_legacy_vmap.py::TestVmapAPILegacy::test_multiple_inputs, test/test_legacy_vmap.py::TestVmapAPILegacy::test_multiple_out_dims, test/test_legacy_vmap.py::TestVmapAPILegacy::test_multiple_outputs, test/test_legacy_vmap.py::TestVmapAPILegacy::test_multiple_outputs_error_cases, test/test_legacy_vmap.py::TestVmapAPILegacy::test_nested_non_default_in_dims, test/test_legacy_vmap.py::TestVmapAPILegacy::test_nested_out_dims, test/test_legacy_vmap.py::TestVmapAPILegacy::test_nested_with_different_map_dim, test/test_legacy_vmap.py::TestVmapAPILegacy::test_nested_with_same_map_dim, test/test_legacy_vmap.py::TestVmapAPILegacy::test_nn_module, test/test_legacy_vmap.py::TestVmapAPILegacy::test_non_default_in_dims_out_dims, test/test_legacy_vmap.py::TestVmapAPILegacy::test_non_tensor_output_raises, test/test_legacy_vmap.py::TestVmapAPILegacy::test_non_zero_in_dims, test/test_legacy_vmap.py::TestVmapAPILegacy::test_none_in_dims, test/test_legacy_vmap.py::TestVmapAPILegacy::test_nonzero_out_dims, test/test_legacy_vmap.py::TestVmapAPILegacy::test_noop_in_inner_vmap, test/test_legacy_vmap.py::TestVmapAPILegacy::test_not_enough_in_dims_err_msg, test/test_legacy_vmap.py::TestVmapAPILegacy::test_out_dim_out_of_bounds_err_msg, test/test_legacy_vmap.py::TestVmapAPILegacy::test_out_dims_and_num_outputs_mismatch_err_msg, test/test_legacy_vmap.py::TestVmapAPILegacy::test_out_dims_edge_case, test/test_legacy_vmap.py::TestVmapAPILegacy::test_out_dims_must_be_int_or_tuple_of_int_err_msg, test/test_legacy_vmap.py::TestVmapAPILegacy::test_single_input, test/test_legacy_vmap.py::TestVmapAPILegacy::test_unsupported_op_err_msg, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_T_numpy, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_as_strided, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_binary_pointwise_ops, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_bmm, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_cat, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_chunk, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_clamp, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_clone, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_comparison_ops, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_conj, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_contiguous, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_diagonal, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_dot, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_expand_as, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_fill_and_zero_inplace, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_imag, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_is_complex, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_is_contiguous, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_is_floating_point, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_mm, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_movedim, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_mv, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_narrow, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_new_empty, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_new_empty_strided, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_new_zeros, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_no_random_op_support, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_real, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_reshape, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_reshape_as, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_result_type, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_select, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_slice, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_split, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_squeeze, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_stack, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_stride, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_sum_dim, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_t, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_tensor_split, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_to, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_trace, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_transpose, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_unary_pointwise_ops, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_unbind, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_unfold, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_view, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_view_as, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_view_as_complex, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_view_as_real, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_vmap_fallback_check, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_vmap_fallback_check_ok, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_add_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_binary_cross_entropy_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_diagonal_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_div_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_expand_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_index_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_inplace_manyview_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_inplace_on_view_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_lgamma_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_log1p_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_log_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_logsumexp_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_max_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_median_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_min_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_mul_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_permute_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_reshape_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_select_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_sigmoid_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_slice_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_stack_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_sub_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_threshold_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_trace_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_unrelated_output_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_unrelated_output_multiple_grad_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_vmap_fallback_check, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_vmap_fallback_check_ok
2025-03-14T05:04:47.7133797Z 
2025-03-14T05:04:50.6430669Z Running test_pytree 1/1 ... [2025-03-14 05:04:50.642565]
2025-03-14T05:04:50.6431411Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:04:50.6433300Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_pytree.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'] ... [2025-03-14 05:04:50.642956]
2025-03-14T05:04:51.5131146Z Running export/test_passes 1/1 ... [2025-03-14 05:04:51.512060]
2025-03-14T05:04:51.5131948Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:04:51.5133879Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 05:04:51.512418]
2025-03-14T05:04:56.0648379Z 
2025-03-14T05:04:56.0649463Z test_pytree 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_pytree_1.1_f83aafda08f562a7_.log
2025-03-14T05:04:56.0677433Z Running 91 items in this shard: test/test_pytree.py::TestGenericPytree::test_aligned_public_apis, test/test_pytree.py::TestGenericPytree::test_broadcast_to_and_flatten_cxx, test/test_pytree.py::TestGenericPytree::test_broadcast_to_and_flatten_py, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_defaultdict_cxx, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_defaultdict_py, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_deque_cxx, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_deque_py, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_dict_cxx, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_dict_py, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_leaf_cxx, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_leaf_py, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_list_cxx, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_list_py, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_namedtuple_cxx, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_namedtuple_py, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_nested_cxx, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_nested_py, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_ordereddict_cxx, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_ordereddict_py, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_return_types_max_cxx, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_return_types_max_py, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_return_types_min_cxx, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_return_types_min_py, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_tuple_cxx, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_tuple_py, test/test_pytree.py::TestGenericPytree::test_flatten_with_is_leaf_cxx, test/test_pytree.py::TestGenericPytree::test_flatten_with_is_leaf_py, test/test_pytree.py::TestGenericPytree::test_pytree_serialize_bad_input_cxx, test/test_pytree.py::TestGenericPytree::test_pytree_serialize_bad_input_py, test/test_pytree.py::TestGenericPytree::test_register_pytree_node_cxx, test/test_pytree.py::TestGenericPytree::test_register_pytree_node_py, test/test_pytree.py::TestGenericPytree::test_tree_all_any_cxx, test/test_pytree.py::TestGenericPytree::test_tree_all_any_py, test/test_pytree.py::TestGenericPytree::test_tree_map_cxx, test/test_pytree.py::TestGenericPytree::test_tree_map_multi_inputs_cxx, test/test_pytree.py::TestGenericPytree::test_tree_map_multi_inputs_py, test/test_pytree.py::TestGenericPytree::test_tree_map_only_cxx, test/test_pytree.py::TestGenericPytree::test_tree_map_only_predicate_fn_cxx, test/test_pytree.py::TestGenericPytree::test_tree_map_only_predicate_fn_py, test/test_pytree.py::TestGenericPytree::test_tree_map_only_py, test/test_pytree.py::TestGenericPytree::test_tree_map_py, test/test_pytree.py::TestPythonPytree::test_constant, test/test_pytree.py::TestPythonPytree::test_constant_default_eq_error, test/test_pytree.py::TestPythonPytree::test_constant_default_hash_error, test/test_pytree.py::TestPythonPytree::test_dataclass, test/test_pytree.py::TestPythonPytree::test_deprecated_register_pytree_node, test/test_pytree.py::TestPythonPytree::test_flatten_flatten_with_key_consistency, test/test_pytree.py::TestPythonPytree::test_import_pytree_doesnt_import_optree, test/test_pytree.py::TestPythonPytree::test_key_access, test/test_pytree.py::TestPythonPytree::test_key_str, test/test_pytree.py::TestPythonPytree::test_pytree_context_serialize_bad, test/test_pytree.py::TestPythonPytree::test_pytree_custom_type_serialize, test/test_pytree.py::TestPythonPytree::test_pytree_custom_type_serialize_bad, test/test_pytree.py::TestPythonPytree::test_pytree_serialize_bad_protocol, test/test_pytree.py::TestPythonPytree::test_pytree_serialize_defaultdict_enum, test/test_pytree.py::TestPythonPytree::test_pytree_serialize_enum, test/test_pytree.py::TestPythonPytree::test_pytree_serialize_namedtuple, test/test_pytree.py::TestPythonPytree::test_pytree_serialize_namedtuple_bad, test/test_pytree.py::TestPythonPytree::test_pytree_serialize_register_bad, test/test_pytree.py::TestPythonPytree::test_pytree_serialize_spec0, test/test_pytree.py::TestPythonPytree::test_pytree_serialize_spec1, test/test_pytree.py::TestPythonPytree::test_pytree_serialize_spec2, test/test_pytree.py::TestPythonPytree::test_pytree_serialize_spec3, test/test_pytree.py::TestPythonPytree::test_pytree_serialize_spec4, test/test_pytree.py::TestPythonPytree::test_pytree_serialize_spec5, test/test_pytree.py::TestPythonPytree::test_pytree_serialize_spec6, test/test_pytree.py::TestPythonPytree::test_pytree_serialize_spec7, test/test_pytree.py::TestPythonPytree::test_pytree_serialize_spec8, test/test_pytree.py::TestPythonPytree::test_pytree_serialize_spec9, test/test_pytree.py::TestPythonPytree::test_saved_serialized, test/test_pytree.py::TestPythonPytree::test_tree_flatten_with_path_is_leaf, test/test_pytree.py::TestPythonPytree::test_tree_flatten_with_path_roundtrip, test/test_pytree.py::TestPythonPytree::test_tree_leaves_with_path, test/test_pytree.py::TestPythonPytree::test_tree_map_with_path, test/test_pytree.py::TestPythonPytree::test_tree_map_with_path_multiple_trees, test/test_pytree.py::TestPythonPytree::test_treespec_equality, test/test_pytree.py::TestPythonPytree::test_treespec_repr, test/test_pytree.py::TestCxxPytree::test_pytree_custom_type_serialize, test/test_pytree.py::TestCxxPytree::test_pytree_serialize_namedtuple, test/test_pytree.py::TestCxxPytree::test_pytree_serialize_spec0, test/test_pytree.py::TestCxxPytree::test_pytree_serialize_spec1, test/test_pytree.py::TestCxxPytree::test_pytree_serialize_spec2, test/test_pytree.py::TestCxxPytree::test_pytree_serialize_spec3, test/test_pytree.py::TestCxxPytree::test_pytree_serialize_spec4, test/test_pytree.py::TestCxxPytree::test_pytree_serialize_spec5, test/test_pytree.py::TestCxxPytree::test_pytree_serialize_spec6, test/test_pytree.py::TestCxxPytree::test_pytree_serialize_spec7, test/test_pytree.py::TestCxxPytree::test_pytree_serialize_spec8, test/test_pytree.py::TestCxxPytree::test_pytree_serialize_spec9, test/test_pytree.py::TestCxxPytree::test_treespec_equality, test/test_pytree.py::TestCxxPytree::test_treespec_repr
2025-03-14T05:04:56.0704563Z 
2025-03-14T05:04:59.5085474Z 
2025-03-14T05:04:59.5086779Z test_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_optim_1.1_64b92c26f5dd20ba_.log
2025-03-14T05:04:59.5644184Z Running 922 items in this shard: test/test_optim.py::TestLRScheduler::test_CosineAnnealingWarmRestarts_lr1_T_mult_1, test/test_optim.py::TestLRScheduler::test_CosineAnnealingWarmRestarts_lr1_T_mult_2, test/test_optim.py::TestLRScheduler::test_CosineAnnealingWarmRestarts_lr1_T_mult_4, test/test_optim.py::TestLRScheduler::test_CosineAnnealingWarmRestarts_lr2, test/test_optim.py::TestLRScheduler::test_CosineAnnealingWarmRestarts_lr3, test/test_optim.py::TestLRScheduler::test_CosineAnnealingWarmRestarts_lr_state_dict, test/test_optim.py::TestLRScheduler::test_add_param_group_does_not_break_reduce_lr_on_plateau_min_lr_list, test/test_optim.py::TestLRScheduler::test_add_param_group_does_not_break_reduce_lr_on_plateau_min_lr_scalar, test/test_optim.py::TestLRScheduler::test_add_param_group_errors_reduce_lr_on_plateau, test/test_optim.py::TestLRScheduler::test_chained_lr1, test/test_optim.py::TestLRScheduler::test_chained_lr2, test/test_optim.py::TestLRScheduler::test_chained_lr2_get_last_lr_before_step, test/test_optim.py::TestLRScheduler::test_chained_lr3, test/test_optim.py::TestLRScheduler::test_chained_lr4, test/test_optim.py::TestLRScheduler::test_chained_lr5, test/test_optim.py::TestLRScheduler::test_closed_form_constantlr, test/test_optim.py::TestLRScheduler::test_closed_form_cos_anneal_lr, test/test_optim.py::TestLRScheduler::test_closed_form_exp_lr, test/test_optim.py::TestLRScheduler::test_closed_form_linearlr, test/test_optim.py::TestLRScheduler::test_closed_form_multi_step_lr, test/test_optim.py::TestLRScheduler::test_closed_form_poly_lr, test/test_optim.py::TestLRScheduler::test_closed_form_step_lr, test/test_optim.py::TestLRScheduler::test_compound_cosanneal_and_exp_lr, test/test_optim.py::TestLRScheduler::test_compound_cosanneal_and_linearlr, test/test_optim.py::TestLRScheduler::test_compound_cosanneal_and_multistep_lr, test/test_optim.py::TestLRScheduler::test_compound_cosanneal_and_step_lr, test/test_optim.py::TestLRScheduler::test_compound_exp_and_linearlr, test/test_optim.py::TestLRScheduler::test_compound_exp_and_multistep_lr, test/test_optim.py::TestLRScheduler::test_compound_linearlr_and_multistep_lr, test/test_optim.py::TestLRScheduler::test_compound_reduce_lr_on_plateau1, test/test_optim.py::TestLRScheduler::test_compound_reduce_lr_on_plateau2, test/test_optim.py::TestLRScheduler::test_compound_reduce_lr_on_plateau3, test/test_optim.py::TestLRScheduler::test_compound_reduce_lr_on_plateau4, test/test_optim.py::TestLRScheduler::test_compound_reduce_lr_on_plateau5, test/test_optim.py::TestLRScheduler::test_compound_step_and_constantlr, test/test_optim.py::TestLRScheduler::test_compound_step_and_exp_lr, test/test_optim.py::TestLRScheduler::test_compound_step_and_multistep_lr, test/test_optim.py::TestLRScheduler::test_constant_initial_lr_LRClass0, test/test_optim.py::TestLRScheduler::test_constant_initial_lr_LRClass1, test/test_optim.py::TestLRScheduler::test_constant_initial_lr_LRClass2, test/test_optim.py::TestLRScheduler::test_constant_initial_lr_LRClass3, test/test_optim.py::TestLRScheduler::test_constant_initial_lr_LRClass4, test/test_optim.py::TestLRScheduler::test_constant_initial_lr_LRClass5, test/test_optim.py::TestLRScheduler::test_constant_initial_lr_LRClass6, test/test_optim.py::TestLRScheduler::test_constant_initial_lr_LRClass7, test/test_optim.py::TestLRScheduler::test_constant_initial_lr_LRClass8, test/test_optim.py::TestLRScheduler::test_constant_initial_lr_LRClass9, test/test_optim.py::TestLRScheduler::test_constant_initial_params_cyclelr, test/test_optim.py::TestLRScheduler::test_constant_initial_params_onecyclelr, test/test_optim.py::TestLRScheduler::test_constant_initial_params_swalr, test/test_optim.py::TestLRScheduler::test_constantlr, test/test_optim.py::TestLRScheduler::test_constantlr_is_constant_for_constant_epoch, test/test_optim.py::TestLRScheduler::test_constantlr_with_epoch, test/test_optim.py::TestLRScheduler::test_cos_anneal_lr, test/test_optim.py::TestLRScheduler::test_cos_anneal_lr_continue, test/test_optim.py::TestLRScheduler::test_cosine_lr_state_dict, test/test_optim.py::TestLRScheduler::test_cosine_then_cyclic, test/test_optim.py::TestLRScheduler::test_cycle_lr_cycle_momentum_fail_with_momentumless_optimizer, test/test_optim.py::TestLRScheduler::test_cycle_lr_cycle_momentum_with_beta1_optimizer, test/test_optim.py::TestLRScheduler::test_cycle_lr_exp_range_mode, test/test_optim.py::TestLRScheduler::test_cycle_lr_exp_range_mode_one_lr, test/test_optim.py::TestLRScheduler::test_cycle_lr_exp_range_mode_step_size_up_down, test/test_optim.py::TestLRScheduler::test_cycle_lr_invalid_mode, test/test_optim.py::TestLRScheduler::test_cycle_lr_removed_after_out_of_scope, test/test_optim.py::TestLRScheduler::test_cycle_lr_scale_fn_restored_from_state_dict, test/test_optim.py::TestLRScheduler::test_cycle_lr_state_dict_picklable, test/test_optim.py::TestLRScheduler::test_cycle_lr_triangular2_mode, test/test_optim.py::TestLRScheduler::test_cycle_lr_triangular2_mode_one_lr, test/test_optim.py::TestLRScheduler::test_cycle_lr_triangular2_mode_step_size_up_down, test/test_optim.py::TestLRScheduler::test_cycle_lr_triangular_mode, test/test_optim.py::TestLRScheduler::test_cycle_lr_triangular_mode_one_lr, test/test_optim.py::TestLRScheduler::test_cycle_lr_triangular_mode_one_lr_no_momentum, test/test_optim.py::TestLRScheduler::test_cycle_lr_triangular_mode_step_size_up_down, test/test_optim.py::TestLRScheduler::test_cycle_lr_with_adam, test/test_optim.py::TestLRScheduler::test_cycle_lr_with_momentumless_optimizer, test/test_optim.py::TestLRScheduler::test_error_when_getlr_has_epoch, test/test_optim.py::TestLRScheduler::test_exp_lr, test/test_optim.py::TestLRScheduler::test_exp_step_lr_state_dict, test/test_optim.py::TestLRScheduler::test_exponential_lr_is_constant_for_constant_epoch, test/test_optim.py::TestLRScheduler::test_get_last_lr_constantlr, test/test_optim.py::TestLRScheduler::test_get_last_lr_linearlr, test/test_optim.py::TestLRScheduler::test_get_last_lr_multi_step_lr, test/test_optim.py::TestLRScheduler::test_get_last_lr_sequentiallr, test/test_optim.py::TestLRScheduler::test_get_last_lr_step_lr, test/test_optim.py::TestLRScheduler::test_lambda_lr, test/test_optim.py::TestLRScheduler::test_lambda_lr_state_dict_fn, test/test_optim.py::TestLRScheduler::test_lambda_lr_state_dict_obj, test/test_optim.py::TestLRScheduler::test_linear_linearlr_is_constant_for_constant_epoch, test/test_optim.py::TestLRScheduler::test_linearlr, test/test_optim.py::TestLRScheduler::test_linearlr_start_factor_limits1, test/test_optim.py::TestLRScheduler::test_linearlr_start_factor_limits2, test/test_optim.py::TestLRScheduler::test_linearlr_with_epoch, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass0_weights_only_False, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass0_weights_only_True, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass10_weights_only_False, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass10_weights_only_True, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass11_weights_only_False, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass11_weights_only_True, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass12_weights_only_False, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass12_weights_only_True, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass13_weights_only_False, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass13_weights_only_True, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass14_weights_only_False, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass14_weights_only_True, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass1_weights_only_False, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass1_weights_only_True, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass2_weights_only_False, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass2_weights_only_True, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass3_weights_only_False, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass3_weights_only_True, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass4_weights_only_False, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass4_weights_only_True, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass5_weights_only_False, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass5_weights_only_True, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass6_weights_only_False, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass6_weights_only_True, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass7_weights_only_False, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass7_weights_only_True, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass8_weights_only_False, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass8_weights_only_True, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass9_weights_only_False, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass9_weights_only_True, test/test_optim.py::TestLRScheduler::test_multi_step_lr, test/test_optim.py::TestLRScheduler::test_multi_step_lr_state_dict, test/test_optim.py::TestLRScheduler::test_multi_step_lr_with_epoch, test/test_optim.py::TestLRScheduler::test_multiplicative_lr, test/test_optim.py::TestLRScheduler::test_new_pattern_no_warning, test/test_optim.py::TestLRScheduler::test_new_pattern_no_warning_with_arg, test/test_optim.py::TestLRScheduler::test_new_pattern_no_warning_with_overridden_optim_step, test/test_optim.py::TestLRScheduler::test_no_cyclic_references, test/test_optim.py::TestLRScheduler::test_no_cyclic_references_in_step, test/test_optim.py::TestLRScheduler::test_old_pattern_warning, test/test_optim.py::TestLRScheduler::test_old_pattern_warning_resuming, test/test_optim.py::TestLRScheduler::test_old_pattern_warning_resuming_with_arg, test/test_optim.py::TestLRScheduler::test_old_pattern_warning_with_arg, test/test_optim.py::TestLRScheduler::test_old_pattern_warning_with_overridden_optim_step, test/test_optim.py::TestLRScheduler::test_onecycle_lr_cannot_calculate_total_steps, test/test_optim.py::TestLRScheduler::test_onecycle_lr_cosine_annealing, test/test_optim.py::TestLRScheduler::test_onecycle_lr_invalid_anneal_strategy, test/test_optim.py::TestLRScheduler::test_onecycle_lr_invalid_pct_start, test/test_optim.py::TestLRScheduler::test_onecycle_lr_legacy_state_dict, test/test_optim.py::TestLRScheduler::test_onecycle_lr_linear_annealing, test/test_optim.py::TestLRScheduler::test_onecycle_lr_linear_annealing_three_phases, test/test_optim.py::TestLRScheduler::test_poly_lr, test/test_optim.py::TestLRScheduler::test_polynomial_lr_is_constant_for_constant_epoch, test/test_optim.py::TestLRScheduler::test_reduce_lr_on_plateau1, test/test_optim.py::TestLRScheduler::test_reduce_lr_on_plateau2, test/test_optim.py::TestLRScheduler::test_reduce_lr_on_plateau3, test/test_optim.py::TestLRScheduler::test_reduce_lr_on_plateau4, test/test_optim.py::TestLRScheduler::test_reduce_lr_on_plateau5, test/test_optim.py::TestLRScheduler::test_reduce_lr_on_plateau6, test/test_optim.py::TestLRScheduler::test_reduce_lr_on_plateau7, test/test_optim.py::TestLRScheduler::test_reduce_lr_on_plateau8, test/test_optim.py::TestLRScheduler::test_reduce_lr_on_plateau_get_last_lr_before_step, test/test_optim.py::TestLRScheduler::test_reduce_lr_on_plateau_state_dict, test/test_optim.py::TestLRScheduler::test_sequentiallr1, test/test_optim.py::TestLRScheduler::test_sequentiallr2, test/test_optim.py::TestLRScheduler::test_sequentiallr3, test/test_optim.py::TestLRScheduler::test_sequentiallr4, test/test_optim.py::TestLRScheduler::test_sequentiallr5, test/test_optim.py::TestLRScheduler::test_step_lr, test/test_optim.py::TestLRScheduler::test_step_lr_is_constant_for_constant_epoch, test/test_optim.py::TestLRScheduler::test_step_lr_state_dict, test/test_optim.py::TestLRScheduler::test_swa_lr_state_dict, test/test_optim.py::TestLRScheduler::test_swalr_cosine_anneal_after_multiplicative, test/test_optim.py::TestLRScheduler::test_swalr_hypers, test/test_optim.py::TestLRScheduler::test_swalr_linear_anneal_after_multiplicative, test/test_optim.py::TestLRScheduler::test_swalr_no_anneal, test/test_optim.py::TestDifferentiableOptimizer::test_adadelta, test/test_optim.py::TestDifferentiableOptimizer::test_adagrad, test/test_optim.py::TestDifferentiableOptimizer::test_adam, test/test_optim.py::TestDifferentiableOptimizer::test_adam_differentiable_all_hyperparams, test/test_optim.py::TestDifferentiableOptimizer::test_adam_differentiable_betas, test/test_optim.py::TestDifferentiableOptimizer::test_adam_differentiable_lr, test/test_optim.py::TestDifferentiableOptimizer::test_adam_differentiable_weight_decay, test/test_optim.py::TestDifferentiableOptimizer::test_adamax, test/test_optim.py::TestDifferentiableOptimizer::test_adamw, test/test_optim.py::TestDifferentiableOptimizer::test_adamw_differentiable_all_hyperparams, test/test_optim.py::TestDifferentiableOptimizer::test_adamw_differentiable_betas, test/test_optim.py::TestDifferentiableOptimizer::test_adamw_differentiable_lr, test/test_optim.py::TestDifferentiableOptimizer::test_adamw_differentiable_weight_decay, test/test_optim.py::TestDifferentiableOptimizer::test_asgd, test/test_optim.py::TestDifferentiableOptimizer::test_differentiable_lr, test/test_optim.py::TestDifferentiableOptimizer::test_differentiable_weight_decay, test/test_optim.py::TestDifferentiableOptimizer::test_differentiable_weight_decay_and_lr, test/test_optim.py::TestDifferentiableOptimizer::test_nadam, test/test_optim.py::TestDifferentiableOptimizer::test_radam, test/test_optim.py::TestDifferentiableOptimizer::test_rmsprop, test/test_optim.py::TestDifferentiableOptimizer::test_rprop, test/test_optim.py::TestDifferentiableOptimizer::test_sgd, test/test_optim.py::TestSWAUtils::test_averaged_model_all_devices_ema_False, test/test_optim.py::TestSWAUtils::test_averaged_model_all_devices_ema_True, test/test_optim.py::TestSWAUtils::test_averaged_model_default_avg_fn_picklable, test/test_optim.py::TestSWAUtils::test_averaged_model_exponential_use_multi_avg_fn_False_use_buffers_False, test/test_optim.py::TestSWAUtils::test_averaged_model_exponential_use_multi_avg_fn_False_use_buffers_True, test/test_optim.py::TestSWAUtils::test_averaged_model_exponential_use_multi_avg_fn_True_use_buffers_False, test/test_optim.py::TestSWAUtils::test_averaged_model_exponential_use_multi_avg_fn_True_use_buffers_True, test/test_optim.py::TestSWAUtils::test_averaged_model_mixed_device_ema_False, test/test_optim.py::TestSWAUtils::test_averaged_model_mixed_device_ema_True, test/test_optim.py::TestSWAUtils::test_averaged_model_state_dict, test/test_optim.py::TestSWAUtils::test_bn_update_eval_momentum, test/test_optim.py::TestSWAUtils::test_update_bn_cnn, test/test_optim.py::TestSWAUtils::test_update_bn_dnn, test/test_optim.py::TestOptimRenewedCPU::test_adamw_serialization_cpu, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_False_is_named_optim1_False_ASGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_False_is_named_optim1_False_Adadelta_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_False_is_named_optim1_False_Adafactor_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_False_is_named_optim1_False_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_False_is_named_optim1_False_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_False_is_named_optim1_False_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_False_is_named_optim1_False_Adamax_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_False_is_named_optim1_False_LBFGS_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_False_is_named_optim1_False_NAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_False_is_named_optim1_False_RAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_False_is_named_optim1_False_RMSprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_False_is_named_optim1_False_Rprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_False_is_named_optim1_False_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_False_is_named_optim1_True_ASGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_False_is_named_optim1_True_Adadelta_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_False_is_named_optim1_True_Adafactor_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_False_is_named_optim1_True_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_False_is_named_optim1_True_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_False_is_named_optim1_True_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_False_is_named_optim1_True_Adamax_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_False_is_named_optim1_True_LBFGS_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_False_is_named_optim1_True_NAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_False_is_named_optim1_True_RAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_False_is_named_optim1_True_RMSprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_False_is_named_optim1_True_Rprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_False_is_named_optim1_True_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_True_is_named_optim1_False_ASGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_True_is_named_optim1_False_Adadelta_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_True_is_named_optim1_False_Adafactor_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_True_is_named_optim1_False_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_True_is_named_optim1_False_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_True_is_named_optim1_False_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_True_is_named_optim1_False_Adamax_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_True_is_named_optim1_False_LBFGS_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_True_is_named_optim1_False_NAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_True_is_named_optim1_False_RAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_True_is_named_optim1_False_RMSprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_True_is_named_optim1_False_Rprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_True_is_named_optim1_False_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_True_is_named_optim1_True_ASGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_True_is_named_optim1_True_Adadelta_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_True_is_named_optim1_True_Adafactor_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_True_is_named_optim1_True_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_True_is_named_optim1_True_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_True_is_named_optim1_True_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_True_is_named_optim1_True_Adamax_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_True_is_named_optim1_True_LBFGS_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_True_is_named_optim1_True_NAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_True_is_named_optim1_True_RAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_True_is_named_optim1_True_RMSprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_True_is_named_optim1_True_Rprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_True_is_named_optim1_True_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_older_state_dict_ASGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_older_state_dict_Adadelta_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_older_state_dict_Adafactor_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_older_state_dict_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_older_state_dict_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_older_state_dict_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_older_state_dict_Adamax_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_older_state_dict_LBFGS_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_older_state_dict_NAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_older_state_dict_RAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_older_state_dict_RMSprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_older_state_dict_Rprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_older_state_dict_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_older_state_dict_SparseAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_complex_2d_ASGD_cpu_complex64, test/test_optim.py::TestOptimRenewedCPU::test_complex_2d_Adadelta_cpu_complex64, test/test_optim.py::TestOptimRenewedCPU::test_complex_2d_Adagrad_cpu_complex64, test/test_optim.py::TestOptimRenewedCPU::test_complex_2d_AdamW_cpu_complex64, test/test_optim.py::TestOptimRenewedCPU::test_complex_2d_Adam_cpu_complex64, test/test_optim.py::TestOptimRenewedCPU::test_complex_2d_Adamax_cpu_complex64, test/test_optim.py::TestOptimRenewedCPU::test_complex_2d_LBFGS_cpu_complex64, test/test_optim.py::TestOptimRenewedCPU::test_complex_2d_NAdam_cpu_complex64, test/test_optim.py::TestOptimRenewedCPU::test_complex_2d_RAdam_cpu_complex64, test/test_optim.py::TestOptimRenewedCPU::test_complex_2d_RMSprop_cpu_complex64, test/test_optim.py::TestOptimRenewedCPU::test_complex_2d_Rprop_cpu_complex64, test/test_optim.py::TestOptimRenewedCPU::test_complex_2d_SGD_cpu_complex64, test/test_optim.py::TestOptimRenewedCPU::test_complex_ASGD_cpu_complex64, test/test_optim.py::TestOptimRenewedCPU::test_complex_Adadelta_cpu_complex64, test/test_optim.py::TestOptimRenewedCPU::test_complex_Adagrad_cpu_complex64, test/test_optim.py::TestOptimRenewedCPU::test_complex_AdamW_cpu_complex64, test/test_optim.py::TestOptimRenewedCPU::test_complex_Adam_cpu_complex64, test/test_optim.py::TestOptimRenewedCPU::test_complex_Adamax_cpu_complex64, test/test_optim.py::TestOptimRenewedCPU::test_complex_LBFGS_cpu_complex64, test/test_optim.py::TestOptimRenewedCPU::test_complex_NAdam_cpu_complex64, test/test_optim.py::TestOptimRenewedCPU::test_complex_RAdam_cpu_complex64, test/test_optim.py::TestOptimRenewedCPU::test_complex_RMSprop_cpu_complex64, test/test_optim.py::TestOptimRenewedCPU::test_complex_Rprop_cpu_complex64, test/test_optim.py::TestOptimRenewedCPU::test_complex_SGD_cpu_complex64, test/test_optim.py::TestOptimRenewedCPU::test_cpu_load_state_dict_impl_capturable_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_cpu_load_state_dict_impl_capturable_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_cpu_load_state_dict_impl_capturable_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_cpu_load_state_dict_impl_capturable_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_cpu_load_state_dict_impl_fused_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_cpu_load_state_dict_impl_fused_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_cpu_load_state_dict_impl_fused_Adam_cpu_float32, 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test/test_optim.py::TestOptimRenewedCPU::test_fused_matches_forloop_AdamW_cpu_bfloat16, test/test_optim.py::TestOptimRenewedCPU::test_fused_matches_forloop_AdamW_cpu_float16, test/test_optim.py::TestOptimRenewedCPU::test_fused_matches_forloop_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_fused_matches_forloop_AdamW_cpu_float64, test/test_optim.py::TestOptimRenewedCPU::test_fused_matches_forloop_Adam_cpu_bfloat16, test/test_optim.py::TestOptimRenewedCPU::test_fused_matches_forloop_Adam_cpu_float16, test/test_optim.py::TestOptimRenewedCPU::test_fused_matches_forloop_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_fused_matches_forloop_Adam_cpu_float64, test/test_optim.py::TestOptimRenewedCPU::test_fused_matches_forloop_SGD_cpu_bfloat16, test/test_optim.py::TestOptimRenewedCPU::test_fused_matches_forloop_SGD_cpu_float16, test/test_optim.py::TestOptimRenewedCPU::test_fused_matches_forloop_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_fused_matches_forloop_SGD_cpu_float64, test/test_optim.py::TestOptimRenewedCPU::test_grads_are_never_inplaced_into_ASGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_grads_are_never_inplaced_into_Adadelta_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_grads_are_never_inplaced_into_Adafactor_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_grads_are_never_inplaced_into_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_grads_are_never_inplaced_into_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_grads_are_never_inplaced_into_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_grads_are_never_inplaced_into_Adamax_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_grads_are_never_inplaced_into_LBFGS_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_grads_are_never_inplaced_into_NAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_grads_are_never_inplaced_into_RAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_grads_are_never_inplaced_into_RMSprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_grads_are_never_inplaced_into_Rprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_grads_are_never_inplaced_into_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_grads_are_never_inplaced_into_SparseAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_load_nontensor_step_ASGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_load_nontensor_step_Adadelta_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_load_nontensor_step_Adafactor_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_load_nontensor_step_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_load_nontensor_step_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_load_nontensor_step_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_load_nontensor_step_Adamax_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_load_nontensor_step_LBFGS_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_load_nontensor_step_NAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_load_nontensor_step_RAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_load_nontensor_step_RMSprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_load_nontensor_step_Rprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_load_nontensor_step_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_load_nontensor_step_SparseAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_load_state_dict_post_hook_ASGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_load_state_dict_post_hook_Adadelta_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_load_state_dict_post_hook_Adafactor_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_load_state_dict_post_hook_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_load_state_dict_post_hook_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_load_state_dict_post_hook_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_load_state_dict_post_hook_Adamax_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_load_state_dict_post_hook_LBFGS_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_load_state_dict_post_hook_NAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_load_state_dict_post_hook_RAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_load_state_dict_post_hook_RMSprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_load_state_dict_post_hook_Rprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_load_state_dict_post_hook_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_load_state_dict_post_hook_SparseAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_load_state_dict_pre_hook_and_prepend_ASGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_load_state_dict_pre_hook_and_prepend_Adadelta_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_load_state_dict_pre_hook_and_prepend_Adafactor_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_load_state_dict_pre_hook_and_prepend_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_load_state_dict_pre_hook_and_prepend_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_load_state_dict_pre_hook_and_prepend_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_load_state_dict_pre_hook_and_prepend_Adamax_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_load_state_dict_pre_hook_and_prepend_LBFGS_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_load_state_dict_pre_hook_and_prepend_NAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_load_state_dict_pre_hook_and_prepend_RAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_load_state_dict_pre_hook_and_prepend_RMSprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_load_state_dict_pre_hook_and_prepend_Rprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_load_state_dict_pre_hook_and_prepend_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_load_state_dict_pre_hook_and_prepend_SparseAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_load_state_dict_pre_post_hook_ASGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_load_state_dict_pre_post_hook_Adadelta_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_load_state_dict_pre_post_hook_Adafactor_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_load_state_dict_pre_post_hook_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_load_state_dict_pre_post_hook_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_load_state_dict_pre_post_hook_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_load_state_dict_pre_post_hook_Adamax_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_load_state_dict_pre_post_hook_LBFGS_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_load_state_dict_pre_post_hook_NAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_load_state_dict_pre_post_hook_RAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_load_state_dict_pre_post_hook_RMSprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_load_state_dict_pre_post_hook_Rprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_load_state_dict_pre_post_hook_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_load_state_dict_pre_post_hook_SparseAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_mixed_device_dtype_impl_foreach_ASGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_mixed_device_dtype_impl_foreach_Adadelta_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_mixed_device_dtype_impl_foreach_Adafactor_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_mixed_device_dtype_impl_foreach_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_mixed_device_dtype_impl_foreach_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_mixed_device_dtype_impl_foreach_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_mixed_device_dtype_impl_foreach_Adamax_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_mixed_device_dtype_impl_foreach_NAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_mixed_device_dtype_impl_foreach_RAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_mixed_device_dtype_impl_foreach_RMSprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_mixed_device_dtype_impl_foreach_Rprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_mixed_device_dtype_impl_foreach_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_mixed_device_dtype_impl_fused_ASGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_mixed_device_dtype_impl_fused_Adadelta_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_mixed_device_dtype_impl_fused_Adafactor_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_mixed_device_dtype_impl_fused_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_mixed_device_dtype_impl_fused_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_mixed_device_dtype_impl_fused_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_mixed_device_dtype_impl_fused_Adamax_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_mixed_device_dtype_impl_fused_NAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_mixed_device_dtype_impl_fused_RAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_mixed_device_dtype_impl_fused_RMSprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_mixed_device_dtype_impl_fused_Rprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_mixed_device_dtype_impl_fused_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_non_empty_state_ASGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_non_empty_state_Adadelta_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_non_empty_state_Adafactor_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_non_empty_state_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_non_empty_state_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_non_empty_state_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_non_empty_state_Adamax_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_non_empty_state_LBFGS_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_non_empty_state_NAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_non_empty_state_RAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_non_empty_state_RMSprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_non_empty_state_Rprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_non_empty_state_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_non_empty_state_SparseAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_optim_infos_do_not_specify_global_cliquey_kwargs_ASGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_optim_infos_do_not_specify_global_cliquey_kwargs_Adadelta_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_optim_infos_do_not_specify_global_cliquey_kwargs_Adafactor_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_optim_infos_do_not_specify_global_cliquey_kwargs_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_optim_infos_do_not_specify_global_cliquey_kwargs_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_optim_infos_do_not_specify_global_cliquey_kwargs_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_optim_infos_do_not_specify_global_cliquey_kwargs_Adamax_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_optim_infos_do_not_specify_global_cliquey_kwargs_LBFGS_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_optim_infos_do_not_specify_global_cliquey_kwargs_NAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_optim_infos_do_not_specify_global_cliquey_kwargs_RAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_optim_infos_do_not_specify_global_cliquey_kwargs_RMSprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_optim_infos_do_not_specify_global_cliquey_kwargs_Rprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_optim_infos_do_not_specify_global_cliquey_kwargs_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_optim_infos_do_not_specify_global_cliquey_kwargs_SparseAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_optimizer_can_be_printed_ASGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_optimizer_can_be_printed_Adadelta_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_optimizer_can_be_printed_Adafactor_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_optimizer_can_be_printed_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_optimizer_can_be_printed_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_optimizer_can_be_printed_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_optimizer_can_be_printed_Adamax_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_optimizer_can_be_printed_LBFGS_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_optimizer_can_be_printed_NAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_optimizer_can_be_printed_RAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_optimizer_can_be_printed_RMSprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_optimizer_can_be_printed_Rprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_optimizer_can_be_printed_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_optimizer_can_be_printed_SparseAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_group_with_lrscheduler_goes_right_direction_ASGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_group_with_lrscheduler_goes_right_direction_Adadelta_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_group_with_lrscheduler_goes_right_direction_Adafactor_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_group_with_lrscheduler_goes_right_direction_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_group_with_lrscheduler_goes_right_direction_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_group_with_lrscheduler_goes_right_direction_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_group_with_lrscheduler_goes_right_direction_Adamax_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_group_with_lrscheduler_goes_right_direction_LBFGS_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_group_with_lrscheduler_goes_right_direction_NAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_group_with_lrscheduler_goes_right_direction_RAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_group_with_lrscheduler_goes_right_direction_RMSprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_group_with_lrscheduler_goes_right_direction_Rprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_group_with_lrscheduler_goes_right_direction_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_group_with_lrscheduler_goes_right_direction_SparseAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_groups_lr_ASGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_groups_lr_Adadelta_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_groups_lr_Adafactor_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_groups_lr_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_groups_lr_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_groups_lr_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_groups_lr_Adamax_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_groups_lr_LBFGS_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_groups_lr_NAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_groups_lr_RAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_groups_lr_RMSprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_groups_lr_Rprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_groups_lr_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_groups_lr_SparseAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_groups_weight_decay_ASGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_groups_weight_decay_Adadelta_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_groups_weight_decay_Adafactor_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_groups_weight_decay_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_groups_weight_decay_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_groups_weight_decay_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_groups_weight_decay_Adamax_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_groups_weight_decay_LBFGS_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_groups_weight_decay_NAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_groups_weight_decay_RAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_groups_weight_decay_RMSprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_groups_weight_decay_Rprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_groups_weight_decay_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_groups_weight_decay_SparseAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_peak_memory_foreach_ASGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_peak_memory_foreach_Adadelta_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_peak_memory_foreach_Adafactor_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_peak_memory_foreach_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_peak_memory_foreach_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_peak_memory_foreach_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_peak_memory_foreach_Adamax_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_peak_memory_foreach_NAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_peak_memory_foreach_RAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_peak_memory_foreach_RMSprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_peak_memory_foreach_Rprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_peak_memory_foreach_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_rosenbrock_sparse_with_lrsched_False_Adagrad_cpu_float64, test/test_optim.py::TestOptimRenewedCPU::test_rosenbrock_sparse_with_lrsched_False_SGD_cpu_float64, test/test_optim.py::TestOptimRenewedCPU::test_rosenbrock_sparse_with_lrsched_False_SparseAdam_cpu_float64, test/test_optim.py::TestOptimRenewedCPU::test_rosenbrock_sparse_with_lrsched_True_Adagrad_cpu_float64, test/test_optim.py::TestOptimRenewedCPU::test_rosenbrock_sparse_with_lrsched_True_SGD_cpu_float64, test/test_optim.py::TestOptimRenewedCPU::test_rosenbrock_sparse_with_lrsched_True_SparseAdam_cpu_float64, test/test_optim.py::TestOptimRenewedCPU::test_save_load_equality_with_weights_only_is_named_optim_False_ASGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_save_load_equality_with_weights_only_is_named_optim_False_Adadelta_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_save_load_equality_with_weights_only_is_named_optim_False_Adafactor_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_save_load_equality_with_weights_only_is_named_optim_False_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_save_load_equality_with_weights_only_is_named_optim_False_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_save_load_equality_with_weights_only_is_named_optim_False_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_save_load_equality_with_weights_only_is_named_optim_False_Adamax_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_save_load_equality_with_weights_only_is_named_optim_False_LBFGS_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_save_load_equality_with_weights_only_is_named_optim_False_NAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_save_load_equality_with_weights_only_is_named_optim_False_RAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_save_load_equality_with_weights_only_is_named_optim_False_RMSprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_save_load_equality_with_weights_only_is_named_optim_False_Rprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_save_load_equality_with_weights_only_is_named_optim_False_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_save_load_equality_with_weights_only_is_named_optim_False_SparseAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_save_load_equality_with_weights_only_is_named_optim_True_ASGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_save_load_equality_with_weights_only_is_named_optim_True_Adadelta_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_save_load_equality_with_weights_only_is_named_optim_True_Adafactor_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_save_load_equality_with_weights_only_is_named_optim_True_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_save_load_equality_with_weights_only_is_named_optim_True_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_save_load_equality_with_weights_only_is_named_optim_True_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_save_load_equality_with_weights_only_is_named_optim_True_Adamax_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_save_load_equality_with_weights_only_is_named_optim_True_LBFGS_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_save_load_equality_with_weights_only_is_named_optim_True_NAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_save_load_equality_with_weights_only_is_named_optim_True_RAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_save_load_equality_with_weights_only_is_named_optim_True_RMSprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_save_load_equality_with_weights_only_is_named_optim_True_Rprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_save_load_equality_with_weights_only_is_named_optim_True_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_save_load_equality_with_weights_only_is_named_optim_True_SparseAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_second_order_optims_return_consistent_types_LBFGS_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_set_default_dtype_works_with_foreach_ASGD_cpu_float64, test/test_optim.py::TestOptimRenewedCPU::test_set_default_dtype_works_with_foreach_Adadelta_cpu_float64, test/test_optim.py::TestOptimRenewedCPU::test_set_default_dtype_works_with_foreach_Adafactor_cpu_float64, test/test_optim.py::TestOptimRenewedCPU::test_set_default_dtype_works_with_foreach_Adagrad_cpu_float64, test/test_optim.py::TestOptimRenewedCPU::test_set_default_dtype_works_with_foreach_AdamW_cpu_float64, test/test_optim.py::TestOptimRenewedCPU::test_set_default_dtype_works_with_foreach_Adam_cpu_float64, test/test_optim.py::TestOptimRenewedCPU::test_set_default_dtype_works_with_foreach_Adamax_cpu_float64, test/test_optim.py::TestOptimRenewedCPU::test_set_default_dtype_works_with_foreach_NAdam_cpu_float64, test/test_optim.py::TestOptimRenewedCPU::test_set_default_dtype_works_with_foreach_RAdam_cpu_float64, test/test_optim.py::TestOptimRenewedCPU::test_set_default_dtype_works_with_foreach_RMSprop_cpu_float64, test/test_optim.py::TestOptimRenewedCPU::test_set_default_dtype_works_with_foreach_Rprop_cpu_float64, test/test_optim.py::TestOptimRenewedCPU::test_set_default_dtype_works_with_foreach_SGD_cpu_float64, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_False_is_named_optim1_False_ASGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_False_is_named_optim1_False_Adadelta_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_False_is_named_optim1_False_Adafactor_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_False_is_named_optim1_False_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_False_is_named_optim1_False_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_False_is_named_optim1_False_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_False_is_named_optim1_False_Adamax_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_False_is_named_optim1_False_LBFGS_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_False_is_named_optim1_False_NAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_False_is_named_optim1_False_RAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_False_is_named_optim1_False_RMSprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_False_is_named_optim1_False_Rprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_False_is_named_optim1_False_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_False_is_named_optim1_False_SparseAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_False_is_named_optim1_True_ASGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_False_is_named_optim1_True_Adadelta_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_False_is_named_optim1_True_Adafactor_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_False_is_named_optim1_True_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_False_is_named_optim1_True_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_False_is_named_optim1_True_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_False_is_named_optim1_True_Adamax_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_False_is_named_optim1_True_LBFGS_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_False_is_named_optim1_True_NAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_False_is_named_optim1_True_RAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_False_is_named_optim1_True_RMSprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_False_is_named_optim1_True_Rprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_False_is_named_optim1_True_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_False_is_named_optim1_True_SparseAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_True_is_named_optim1_False_ASGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_True_is_named_optim1_False_Adadelta_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_True_is_named_optim1_False_Adafactor_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_True_is_named_optim1_False_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_True_is_named_optim1_False_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_True_is_named_optim1_False_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_True_is_named_optim1_False_Adamax_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_True_is_named_optim1_False_LBFGS_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_True_is_named_optim1_False_NAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_True_is_named_optim1_False_RAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_True_is_named_optim1_False_RMSprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_True_is_named_optim1_False_Rprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_True_is_named_optim1_False_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_True_is_named_optim1_False_SparseAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_True_is_named_optim1_True_ASGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_True_is_named_optim1_True_Adadelta_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_True_is_named_optim1_True_Adafactor_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_True_is_named_optim1_True_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_True_is_named_optim1_True_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_True_is_named_optim1_True_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_True_is_named_optim1_True_Adamax_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_True_is_named_optim1_True_LBFGS_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_True_is_named_optim1_True_NAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_True_is_named_optim1_True_RAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_True_is_named_optim1_True_RMSprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_True_is_named_optim1_True_Rprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_True_is_named_optim1_True_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_True_is_named_optim1_True_SparseAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_post_hook_ASGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_post_hook_Adadelta_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_post_hook_Adafactor_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_post_hook_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_post_hook_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_post_hook_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_post_hook_Adamax_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_post_hook_LBFGS_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_post_hook_NAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_post_hook_RAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_post_hook_RMSprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_post_hook_Rprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_post_hook_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_post_hook_SparseAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_pre_hook_ASGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_pre_hook_Adadelta_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_pre_hook_Adafactor_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_pre_hook_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_pre_hook_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_pre_hook_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_pre_hook_Adamax_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_pre_hook_LBFGS_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_pre_hook_NAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_pre_hook_RAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_pre_hook_RMSprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_pre_hook_Rprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_pre_hook_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_pre_hook_SparseAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_pre_post_hook_ASGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_pre_post_hook_Adadelta_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_pre_post_hook_Adafactor_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_pre_post_hook_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_pre_post_hook_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_pre_post_hook_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_pre_post_hook_Adamax_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_pre_post_hook_LBFGS_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_pre_post_hook_NAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_pre_post_hook_RAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_pre_post_hook_RMSprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_pre_post_hook_Rprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_pre_post_hook_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_pre_post_hook_SparseAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_with_cuda_params_ASGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_with_cuda_params_Adadelta_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_with_cuda_params_Adafactor_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_with_cuda_params_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_with_cuda_params_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_with_cuda_params_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_with_cuda_params_Adamax_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_with_cuda_params_LBFGS_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_with_cuda_params_NAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_with_cuda_params_RAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_with_cuda_params_RMSprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_with_cuda_params_Rprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_with_cuda_params_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_with_cuda_params_SparseAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_all_hooks_ASGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_all_hooks_Adadelta_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_all_hooks_Adafactor_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_all_hooks_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_all_hooks_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_all_hooks_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_all_hooks_Adamax_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_all_hooks_LBFGS_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_all_hooks_NAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_all_hooks_RAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_all_hooks_RMSprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_all_hooks_Rprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_all_hooks_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_all_hooks_SparseAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_is_noop_for_zero_grads_ASGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_is_noop_for_zero_grads_Adadelta_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_is_noop_for_zero_grads_Adafactor_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_is_noop_for_zero_grads_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_is_noop_for_zero_grads_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_is_noop_for_zero_grads_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_is_noop_for_zero_grads_Adamax_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_is_noop_for_zero_grads_LBFGS_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_is_noop_for_zero_grads_NAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_is_noop_for_zero_grads_RAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_is_noop_for_zero_grads_RMSprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_is_noop_for_zero_grads_Rprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_is_noop_for_zero_grads_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_is_noop_for_zero_grads_SparseAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_is_noop_when_params_have_no_grad_ASGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_is_noop_when_params_have_no_grad_Adadelta_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_is_noop_when_params_have_no_grad_Adafactor_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_is_noop_when_params_have_no_grad_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_is_noop_when_params_have_no_grad_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_is_noop_when_params_have_no_grad_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_is_noop_when_params_have_no_grad_Adamax_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_is_noop_when_params_have_no_grad_LBFGS_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_is_noop_when_params_have_no_grad_NAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_is_noop_when_params_have_no_grad_RAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_is_noop_when_params_have_no_grad_RMSprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_is_noop_when_params_have_no_grad_Rprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_is_noop_when_params_have_no_grad_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_is_noop_when_params_have_no_grad_SparseAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_post_hook_ASGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_post_hook_Adadelta_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_post_hook_Adafactor_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_post_hook_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_post_hook_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_post_hook_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_post_hook_Adamax_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_post_hook_LBFGS_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_post_hook_NAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_post_hook_RAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_post_hook_RMSprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_post_hook_Rprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_post_hook_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_post_hook_SparseAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_pre_hook_ASGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_pre_hook_Adadelta_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_pre_hook_Adafactor_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_pre_hook_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_pre_hook_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_pre_hook_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_pre_hook_Adamax_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_pre_hook_LBFGS_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_pre_hook_NAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_pre_hook_RAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_pre_hook_RMSprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_pre_hook_Rprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_pre_hook_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_step_pre_hook_SparseAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_tensor_lr_ASGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_tensor_lr_Adadelta_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_tensor_lr_Adafactor_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_tensor_lr_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_tensor_lr_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_tensor_lr_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_tensor_lr_Adamax_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_tensor_lr_LBFGS_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_tensor_lr_NAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_tensor_lr_RAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_tensor_lr_RMSprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_tensor_lr_Rprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_tensor_lr_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_tensor_lr_SparseAdam_cpu_float32
2025-03-14T05:04:59.6015882Z 
2025-03-14T05:04:59.8384564Z Running dynamo/test_aot_autograd 1/1 ... [2025-03-14 05:04:59.838069]
2025-03-14T05:04:59.8385205Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:04:59.8387626Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_aot_autograd.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'] ... [2025-03-14 05:04:59.838448]
2025-03-14T05:05:03.1258283Z Running export/test_converter 1/1 ... [2025-03-14 05:05:03.125408]
2025-03-14T05:05:03.1259048Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:05:03.1261065Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_converter.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'] ... [2025-03-14 05:05:03.125804]
2025-03-14T05:05:03.3711000Z 
2025-03-14T05:05:03.3712524Z dynamo/test_aot_autograd 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_aot_autograd_1.1_bd373b910ca09834_.log
2025-03-14T05:05:03.3713879Z 
2025-03-14T05:05:06.9778297Z Running inductor/test_efficient_conv_bn_eval 1/1 ... [2025-03-14 05:05:06.977404]
2025-03-14T05:05:06.9779212Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:05:06.9781525Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_efficient_conv_bn_eval.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'] ... [2025-03-14 05:05:06.977804]
2025-03-14T05:05:14.3058505Z 
2025-03-14T05:05:14.3060012Z inductor/test_efficient_conv_bn_eval 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_efficient_conv_bn_eval_1.1_718f40951eb1cab5_.log
2025-03-14T05:05:14.3060845Z 
2025-03-14T05:05:16.2162976Z 
2025-03-14T05:05:16.2164393Z export/test_passes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_passes_1.1_d04ed3a4ab66d734_.log
2025-03-14T05:05:16.2179896Z 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
2025-03-14T05:05:16.2194851Z 
2025-03-14T05:05:17.9344132Z Running test_autograd 1/1 ... [2025-03-14 05:05:17.934014]
2025-03-14T05:05:17.9344931Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:05:17.9347135Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_autograd.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'] ... [2025-03-14 05:05:17.934399]
2025-03-14T05:05:19.9184438Z Running test_functional_optim 1/1 ... [2025-03-14 05:05:19.918035]
2025-03-14T05:05:19.9185092Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:05:19.9186462Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_functional_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'] ... [2025-03-14 05:05:19.918368]
2025-03-14T05:05:23.8884856Z 
2025-03-14T05:05:23.8886196Z test_functional_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functional_optim_1.1_f1af5e8fe46f8999_.log
2025-03-14T05:05:23.8888640Z Running 4 items in this shard: test/test_functional_optim.py::TestFunctionalOptimParity::test_functional_optim_parity_adam, test/test_functional_optim.py::TestFunctionalOptimParity::test_functional_optim_parity_adam_w, test/test_functional_optim.py::TestFunctionalOptimParity::test_functional_optim_parity_sgd, test/test_functional_optim.py::TestFunctionalOptimParity::test_functional_optim_registration
2025-03-14T05:05:23.8890464Z 
2025-03-14T05:05:27.4535160Z Running dynamo/test_resume 1/1 ... [2025-03-14 05:05:27.453126]
2025-03-14T05:05:27.4536072Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:05:27.4538543Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_resume.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'] ... [2025-03-14 05:05:27.453515]
2025-03-14T05:05:30.8724301Z 
2025-03-14T05:05:30.8725428Z dynamo/test_resume 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_resume_1.1_575ebf96f964ff67_.log
2025-03-14T05:05:30.8726143Z 
2025-03-14T05:05:34.5200779Z Running dynamo/test_recompile_ux 1/1 ... [2025-03-14 05:05:34.519645]
2025-03-14T05:05:34.5201696Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:05:34.5203815Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 05:05:34.520026]
2025-03-14T05:05:38.0444835Z 
2025-03-14T05:05:38.0445865Z 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_5572df235f5be26b_.log
2025-03-14T05:05:38.0446601Z 
2025-03-14T05:05:41.8724674Z Running nn/test_lazy_modules 1/1 ... [2025-03-14 05:05:41.872047]
2025-03-14T05:05:41.8725529Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:05:41.8727751Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 05:05:41.872432]
2025-03-14T05:05:42.1006088Z 
2025-03-14T05:05:42.1007424Z export/test_converter 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_converter_1.1_4510a18a72153ed6_.log
2025-03-14T05:05:42.1034935Z Running 48 items in this shard: test/export/test_converter.py::TestConverter::test_aten___getitem___dict, test/export/test_converter.py::TestConverter::test_aten___getitem___list, test/export/test_converter.py::TestConverter::test_aten___is__, test/export/test_converter.py::TestConverter::test_aten___isnot__, test/export/test_converter.py::TestConverter::test_aten___not__, test/export/test_converter.py::TestConverter::test_aten_add_t, test/export/test_converter.py::TestConverter::test_aten_append_t, test/export/test_converter.py::TestConverter::test_aten_dim, test/export/test_converter.py::TestConverter::test_aten_floordiv, test/export/test_converter.py::TestConverter::test_aten_len, test/export/test_converter.py::TestConverter::test_aten_tensor_dtype_int, test/export/test_converter.py::TestConverter::test_aten_tensor_dynamic, test/export/test_converter.py::TestConverter::test_aten_tensor_prim_dtype, test/export/test_converter.py::TestConverter::test_aten_to_dtype_with_mutating_storage, test/export/test_converter.py::TestConverter::test_context_manager, test/export/test_converter.py::TestConverter::test_convert_func_without_param, test/export/test_converter.py::TestConverter::test_convert_if_basic, test/export/test_converter.py::TestConverter::test_convert_if_duplicate_attr_names, test/export/test_converter.py::TestConverter::test_convert_if_multiple_out, test/export/test_converter.py::TestConverter::test_convert_if_tuple_out, test/export/test_converter.py::TestConverter::test_convert_nn_module_with_nested_buffer, test/export/test_converter.py::TestConverter::test_convert_nn_module_with_nested_if_and_buffer, test/export/test_converter.py::TestConverter::test_convert_nn_module_with_nested_if_and_param, test/export/test_converter.py::TestConverter::test_convert_nn_module_with_nested_param, test/export/test_converter.py::TestConverter::test_convert_retrace_nested_scripted_modules, test/export/test_converter.py::TestConverter::test_convert_script_object, test/export/test_converter.py::TestConverter::test_get_tensor_constants, test/export/test_converter.py::TestConverter::test_hidden_input_name, test/export/test_converter.py::TestConverter::test_implicit_constant_to_tensor_handling, test/export/test_converter.py::TestConverter::test_prim_SetAttr, test/export/test_converter.py::TestConverter::test_prim_device, test/export/test_converter.py::TestConverter::test_prim_device_cuda, test/export/test_converter.py::TestConverter::test_prim_dtype, test/export/test_converter.py::TestConverter::test_prim_max, test/export/test_converter.py::TestConverter::test_prim_min, test/export/test_converter.py::TestConverter::test_prim_tolist, test/export/test_converter.py::TestConverter::test_profiler__record_function, test/export/test_converter.py::TestConverter::test_raise_exception, test/export/test_converter.py::TestConverter::test_ts2ep_convert_quantized_model, test/export/test_converter.py::TestConverter::test_ts2ep_convert_quantized_model_with_opcontext, test/export/test_converter.py::TestConverter::test_ts2ep_convert_quantized_model_with_opcontext_and_constant, test/export/test_converter.py::TestConverter::test_ts2ep_converter_basic, test/export/test_converter.py::TestConverter::test_ts2ep_converter_container_output, test/export/test_converter.py::TestConverter::test_ts2ep_converter_contains, test/export/test_converter.py::TestConverter::test_ts2ep_converter_custom_op, test/export/test_converter.py::TestConverter::test_ts2ep_converter_unpack, test/export/test_converter.py::TestConverter::test_ts2ep_multi_outputs_on_call_ops, test/export/test_converter.py::TestConverter::test_ts2ep_with_loop
2025-03-14T05:05:42.1072328Z 
2025-03-14T05:05:45.6822655Z Running inductor/test_codecache 1/1 ... [2025-03-14 05:05:45.681882]
2025-03-14T05:05:45.6823322Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:05:45.6825282Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_codecache.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'] ... [2025-03-14 05:05:45.682249]
2025-03-14T05:05:46.1439995Z 
2025-03-14T05:05:46.1441758Z 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_432034d938ac7c2d_.log
2025-03-14T05:05:46.1476937Z Running 58 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_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
2025-03-14T05:05:46.1512323Z 
2025-03-14T05:05:49.8356934Z Running test_numba_integration 1/1 ... [2025-03-14 05:05:49.835271]
2025-03-14T05:05:49.8357733Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:05:49.8359933Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 05:05:49.835660]
2025-03-14T05:05:53.2689817Z 
2025-03-14T05:05:53.2691211Z inductor/test_codecache 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_codecache_1.1_5a4f5afd75607057_.log
2025-03-14T05:05:53.2692294Z 
2025-03-14T05:05:53.8693436Z 
2025-03-14T05:05:53.8695126Z test_numba_integration 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_numba_integration_1.1_cc295b2f35d1b56c_.log
2025-03-14T05:05:53.8701311Z 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
2025-03-14T05:05:53.8706276Z 
2025-03-14T05:05:57.1329362Z Running test_decomp 1/1 ... [2025-03-14 05:05:57.132530]
2025-03-14T05:05:57.1330079Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:05:57.1332329Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_decomp.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'] ... [2025-03-14 05:05:57.132892]
2025-03-14T05:05:57.7429647Z Running inductor/test_unbacked_symints 1/1 ... [2025-03-14 05:05:57.742527]
2025-03-14T05:05:57.7430515Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:05:57.7432870Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 05:05:57.742930]
2025-03-14T05:06:05.2064434Z 
2025-03-14T05:06:05.2065914Z 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_49b43caade5fed5c_.log
2025-03-14T05:06:05.2066757Z 
2025-03-14T05:06:07.8916576Z 
2025-03-14T05:06:07.8918171Z test_autograd 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autograd_1.1_a1034827341c045f_.log
2025-03-14T05:06:07.9356447Z Running 637 items in this shard: test/test_autograd.py::TestAutograd::test_access_saved_tensor_twice_without_recomputation_works, test/test_autograd.py::TestAutograd::test_accumulate_grad, test/test_autograd.py::TestAutograd::test_accumulate_grad_posthooks_can_observe_tensor_prehook, test/test_autograd.py::TestAutograd::test_accumulate_grad_posthooks_should_not_execute, test/test_autograd.py::TestAutograd::test_accumulate_grad_tensor_reference, test/test_autograd.py::TestAutograd::test_accumulate_grad_with_zero_numel_grad, test/test_autograd.py::TestAutograd::test_anomaly_assign_parent_cleanup, test/test_autograd.py::TestAutograd::test_anomaly_detect_nan, test/test_autograd.py::TestAutograd::test_anomaly_grad_warnings, test/test_autograd.py::TestAutograd::test_anomaly_mode_no_check_nan, test/test_autograd.py::TestAutograd::test_attribute_deletion, test/test_autograd.py::TestAutograd::test_autograd_inplace_view_of_view, test/test_autograd.py::TestAutograd::test_autograd_inplace_views_creation_meta, test/test_autograd.py::TestAutograd::test_autograd_inplace_views_cross_dtype, test/test_autograd.py::TestAutograd::test_autograd_multiple_views_python, test/test_autograd.py::TestAutograd::test_autograd_node_isinstance, test/test_autograd.py::TestAutograd::test_autograd_print_tensor, test/test_autograd.py::TestAutograd::test_autograd_python_custom_function_inplace, test/test_autograd.py::TestAutograd::test_autograd_simple_views_python, test/test_autograd.py::TestAutograd::test_autograd_views_codegen, test/test_autograd.py::TestAutograd::test_backward, test/test_autograd.py::TestAutograd::test_backward_badcalls, test/test_autograd.py::TestAutograd::test_backward_copy, test/test_autograd.py::TestAutograd::test_backward_create_graph_warns, test/test_autograd.py::TestAutograd::test_backward_hook_relative_ordering, test/test_autograd.py::TestAutograd::test_backward_no_grad, test/test_autograd.py::TestAutograd::test_backward_to_node, test/test_autograd.py::TestAutograd::test_backward_twice_retained_graph_with_saved_values, test/test_autograd.py::TestAutograd::test_backward_twice_retained_graph_without_saved_values, test/test_autograd.py::TestAutograd::test_backward_twice_with_saved_values, test/test_autograd.py::TestAutograd::test_backward_twice_without_saved_values, test/test_autograd.py::TestAutograd::test_backward_with_inputs, test/test_autograd.py::TestAutograd::test_backward_with_nonleaf_inputs, test/test_autograd.py::TestAutograd::test_calculate_shape_util, test/test_autograd.py::TestAutograd::test_callback_adds_callback, test/test_autograd.py::TestAutograd::test_callback_propagates_errors_from_device_thread, test/test_autograd.py::TestAutograd::test_cant_create_saved_tensors, test/test_autograd.py::TestAutograd::test_checkpoint_detects_non_determinism, test/test_autograd.py::TestAutograd::test_checkpoint_sequential_warns_if_use_reentrant_not_passed_explcitly, test/test_autograd.py::TestAutograd::test_checkpoint_valid_reset_on_error, test/test_autograd.py::TestAutograd::test_checkpoint_warns_if_use_reentrant_not_passed_explcitly, test/test_autograd.py::TestAutograd::test_checkpointing, test/test_autograd.py::TestAutograd::test_checkpointing_non_reentrant_autocast_cpu, test/test_autograd.py::TestAutograd::test_checkpointing_non_reentrant_autocast_gpu, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_arbitrary_input_output, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_correct_grad, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_custom_function_works, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_dataparallel, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_detached_tensor_use_reentrant_False, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_detached_tensor_use_reentrant_True, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_input_requires_grad_False, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_input_requires_grad_True, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_memory_savings, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_parameter_used_in_an_out, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_saved_object_identity, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_with_context_fn, test/test_autograd.py::TestAutograd::test_copy_slices_graph_task_updates, test/test_autograd.py::TestAutograd::test_create_graph_and_full_backward_hook_cycle, test/test_autograd.py::TestAutograd::test_current_graph_task_execution_order, test/test_autograd.py::TestAutograd::test_current_graph_task_id, test/test_autograd.py::TestAutograd::test_current_node, test/test_autograd.py::TestAutograd::test_custom_autograd_no_early_free, test/test_autograd.py::TestAutograd::test_custom_autograd_repeated_grad_grad, test/test_autograd.py::TestAutograd::test_custom_function_cycle, test/test_autograd.py::TestAutograd::test_custom_function_error, test/test_autograd.py::TestAutograd::test_custom_function_exception, test/test_autograd.py::TestAutograd::test_custom_function_forward_mode_forward_is_no_op, test/test_autograd.py::TestAutograd::test_custom_function_forward_mode_inplace_checks, test/test_autograd.py::TestAutograd::test_custom_function_forward_mode_non_differentiable, test/test_autograd.py::TestAutograd::test_custom_function_forward_mode_non_tensor_before_tensor_args, test/test_autograd.py::TestAutograd::test_custom_function_forward_mode_view_checks, test/test_autograd.py::TestAutograd::test_custom_function_forward_mode_wrong_formula, test/test_autograd.py::TestAutograd::test_custom_function_local_inplace, test/test_autograd.py::TestAutograd::test_custom_function_mark_dirty_not_differentiable, test/test_autograd.py::TestAutograd::test_custom_function_no_tensors, test/test_autograd.py::TestAutograd::test_custom_function_non_tensor_inputs_outputs, test/test_autograd.py::TestAutograd::test_custom_function_preserve_torch_function_when_return_as_is, test/test_autograd.py::TestAutograd::test_custom_function_return_view_in_nograd, test/test_autograd.py::TestAutograd::test_custom_function_save_for_forward, test/test_autograd.py::TestAutograd::test_custom_function_saved_tensors, test/test_autograd.py::TestAutograd::test_custom_function_setup_context_multi_input, test/test_autograd.py::TestAutograd::test_custom_function_setup_context_multi_output, test/test_autograd.py::TestAutograd::test_custom_function_setup_context_simple, test/test_autograd.py::TestAutograd::test_custom_function_vmap_defaults, test/test_autograd.py::TestAutograd::test_deep_reentrant, test/test_autograd.py::TestAutograd::test_default_saved_tensors_hooks_double_backward, test/test_autograd.py::TestAutograd::test_dep_nograd, test/test_autograd.py::TestAutograd::test_dependent_backward, test/test_autograd.py::TestAutograd::test_detach, test/test_autograd.py::TestAutograd::test_detach_base, test/test_autograd.py::TestAutograd::test_detach_then_inplace_raises_in_autograd, test/test_autograd.py::TestAutograd::test_diagonal_expanded_v, test/test_autograd.py::TestAutograd::test_dir, test/test_autograd.py::TestAutograd::test_disabling_saved_tensor_hooks, test/test_autograd.py::TestAutograd::test_disabling_saved_tensor_hooks_nested, test/test_autograd.py::TestAutograd::test_dont_materialize_grads, test/test_autograd.py::TestAutograd::test_duplicate_backward_root, test/test_autograd.py::TestAutograd::test_enable_grad_decorator_no_paren, test/test_autograd.py::TestAutograd::test_first_grad_fn_access_in_no_grad_mode, test/test_autograd.py::TestAutograd::test_free_deep_graph, test/test_autograd.py::TestAutograd::test_free_deep_graph_complicated, test/test_autograd.py::TestAutograd::test_free_deep_graph_pyfunction, test/test_autograd.py::TestAutograd::test_full_backward_hook_double_backward, test/test_autograd.py::TestAutograd::test_function, test/test_autograd.py::TestAutograd::test_function_returns_input, test/test_autograd.py::TestAutograd::test_function_returns_undefined_tensor, test/test_autograd.py::TestAutograd::test_gc_in_destructor, test/test_autograd.py::TestAutograd::test_grad, test/test_autograd.py::TestAutograd::test_grad_badcalls, test/test_autograd.py::TestAutograd::test_grad_batched_grad, test/test_autograd.py::TestAutograd::test_grad_empty_inputs, test/test_autograd.py::TestAutograd::test_grad_fn_attr_bindings, test/test_autograd.py::TestAutograd::test_grad_fn_badcalls, test/test_autograd.py::TestAutograd::test_grad_fn_input_metadata, 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test/test_autograd.py::TestAutogradForwardMode::test_codegen_ignores_undefined_outputs, test/test_autograd.py::TestAutogradForwardMode::test_create_new_zeros_with_same_meta, test/test_autograd.py::TestAutogradForwardMode::test_default_level, test/test_autograd.py::TestAutogradForwardMode::test_detach_view_tracking, test/test_autograd.py::TestAutogradForwardMode::test_forward_level_cleanup, test/test_autograd.py::TestAutogradForwardMode::test_fwd_grad_enabled, test/test_autograd.py::TestAutogradForwardMode::test_grad_cleanup, test/test_autograd.py::TestAutogradForwardMode::test_make_dual_forbid_integral_dtype, test/test_autograd.py::TestAutogradForwardMode::test_make_dual_inference_tensor_in_inference_mode, test/test_autograd.py::TestAutogradForwardMode::test_make_dual_torch_dispatch, test/test_autograd.py::TestAutogradForwardMode::test_metadata_check_check_conj, test/test_autograd.py::TestAutogradForwardMode::test_metadata_check_checks_ignores_size_zero, 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test/test_autograd.py::TestAutogradDeviceTypeCPU::test_inplace_on_view_non_contig_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_inplace_on_view_of_multiple_output_view_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_inplace_on_view_of_view_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_inplace_on_view_python_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_inplace_on_view_then_no_grad_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_inplace_on_view_undefined_grad_output_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_inputbuffer_add_multidevice_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_min_max_median_backprops_to_all_values_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_mv_grad_stride_0_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_non_differentiable_ops_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_parameter_resize_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_pin_memory_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_pow_real_negative_base_complex_exponent_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_profiler_emit_itt_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_profiler_emit_nvtx_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_pyscalar_conversions_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_reentrant_parent_error_on_cpu_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_requires_grad_factory_cpu_float32, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_requires_grad_factory_cpu_float64, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_resize_version_bump_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_rnn_backward_to_input_but_not_parameters_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_scatter_index_reduce_amin_amax_backprops_to_all_values_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_scatter_index_reduce_prod_gradgrad_error_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_set_requires_grad_only_for_floats_cpu_float32, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_set_requires_grad_only_for_floats_cpu_float64, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_set_requires_grad_only_for_floats_cpu_int16, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_set_requires_grad_only_for_floats_cpu_int32, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_set_requires_grad_only_for_floats_cpu_int64, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_set_requires_grad_only_for_floats_cpu_int8, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_simple_reentrant_cross_device_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_sparse_backward_cpu_complex128, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_sparse_backward_cpu_float64, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_sparse_ctor_getter_backward_cpu_complex128, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_sparse_ctor_getter_backward_cpu_float64, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_sparse_mask_autograd_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_strided_leaf_grad_layout_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_to_r_to_c_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_unused_output_device_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_warning_in_backward_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_where_functional_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_where_scalar_cpu, test/test_autograd.py::TestAutogradMultipleDispatchCPU::test_autograd_composite_implicit_and_dispatch_registration_cpu, test/test_autograd.py::TestAutogradMultipleDispatchCPU::test_autograd_multiple_dispatch_registrations_cpu, test/test_autograd.py::TestAutogradMultipleDispatchCPU::test_backward_single_threaded_cpu, test/test_autograd.py::TestAutogradMultipleDispatchCPU::test_backward_tls_stash_cpu, test/test_autograd.py::TestAutogradMultipleDispatchCPU::test_foward_mode_AD_cpu, test/test_autograd.py::TestAutogradMultipleDispatchCPU::test_is_retain_graph_cpu, test/test_autograd.py::TestAutogradMultipleDispatchCPU::test_per_dispatch_key_input_saving_cpu, test/test_autograd.py::TestAutogradMultipleDispatchCPU::test_set_sequence_nr_cpu, test/test_autograd.py::TestAutogradMultipleDispatchCPU::test_view_copy_cpu
2025-03-14T05:06:07.9786206Z 
2025-03-14T05:06:08.8933970Z Running test_itt 1/1 ... [2025-03-14 05:06:08.893004]
2025-03-14T05:06:08.8934715Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:06:08.8936991Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_itt.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'] ... [2025-03-14 05:06:08.893387]
2025-03-14T05:06:11.4939792Z Running torch_np/numpy_tests/core/test_einsum 1/1 ... [2025-03-14 05:06:11.493565]
2025-03-14T05:06:11.4940824Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:06:11.4943011Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 05:06:11.493932]
2025-03-14T05:06:12.5140811Z 
2025-03-14T05:06:12.5142203Z test_itt 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_itt_1.1_1145ac2e10250265_.log
2025-03-14T05:06:12.5143515Z Running 1 items in this shard: test/test_itt.py::TestItt::test_itt
2025-03-14T05:06:12.5144039Z 
2025-03-14T05:06:16.1584011Z Running higher_order_ops/test_with_effects 1/1 ... [2025-03-14 05:06:16.157860]
2025-03-14T05:06:16.1584987Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:06:16.1591261Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'higher_order_ops/test_with_effects.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'] ... [2025-03-14 05:06:16.158269]
2025-03-14T05:06:28.9830401Z 
2025-03-14T05:06:28.9831961Z 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_5b93d6c5e18d3402_.log
2025-03-14T05:06:28.9851449Z 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
2025-03-14T05:06:28.9869601Z 
2025-03-14T05:06:32.5564829Z Running higher_order_ops/test_invoke_quant 1/1 ... [2025-03-14 05:06:32.556062]
2025-03-14T05:06:32.5565540Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:06:32.5567915Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 05:06:32.556462]
2025-03-14T05:06:42.0614859Z 
2025-03-14T05:06:42.0616254Z higher_order_ops/test_with_effects 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_with_effects_1.1_291b7d16cdb0c247_.log
2025-03-14T05:06:42.0624947Z Running 18 items in this shard: test/higher_order_ops/test_with_effects.py::TestWithEffects::test_alias_op, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_compile_aot_eager, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_compile_aot_eager_requires_grad, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_compile_inductor, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_compile_inductor_external_op_return_none, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_effectful_custom_op_with_subclasses, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_effectful_op_in_backward, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_effects_and_aliased_outputs, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_effects_and_input_mutation_is_output, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_effects_and_input_mutation_return, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_effects_and_input_output_view_simple, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_print, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_print_with_buffer_mutations, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_print_with_input_mutations, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_register_effectful_custom_op, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_regular_effectful_op_in_forward_and_backward, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_regular_effectful_op_only_in_backward, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_torchbind_custom_op
2025-03-14T05:06:42.0633827Z 
2025-03-14T05:06:45.5662168Z Running dynamo/test_higher_order_ops 1/1 ... [2025-03-14 05:06:45.565697]
2025-03-14T05:06:45.5663102Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:06:45.5665286Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_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'] ... [2025-03-14 05:06:45.566054]
2025-03-14T05:06:46.9925094Z 
2025-03-14T05:06:46.9927712Z 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_0b8aebcc76845dd8_.log
2025-03-14T05:06:46.9939004Z 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
2025-03-14T05:06:46.9949322Z 
2025-03-14T05:06:50.5677074Z Running torch_np/test_random 1/1 ... [2025-03-14 05:06:50.567271]
2025-03-14T05:06:50.5677930Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:06:50.5680010Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/test_random.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'] ... [2025-03-14 05:06:50.567638]
2025-03-14T05:06:53.5234499Z 
2025-03-14T05:06:53.5235876Z dynamo/test_higher_order_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_higher_order_ops_1.1_c367544567572218_.log
2025-03-14T05:06:53.5236637Z 
2025-03-14T05:06:54.3873041Z 
2025-03-14T05:06:54.3874329Z torch_np/test_random 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_random_1.1_3e85c5b4dd3c9e8e_.log
2025-03-14T05:06:54.3890783Z Running 41 items in this shard: test/torch_np/test_random.py::TestScalarReturn::test_rndm_array_use_numpy_False_func0, test/torch_np/test_random.py::TestScalarReturn::test_rndm_array_use_numpy_False_func1, test/torch_np/test_random.py::TestScalarReturn::test_rndm_array_use_numpy_False_func2, test/torch_np/test_random.py::TestScalarReturn::test_rndm_array_use_numpy_False_func3, test/torch_np/test_random.py::TestScalarReturn::test_rndm_array_use_numpy_False_func6, test/torch_np/test_random.py::TestScalarReturn::test_rndm_array_use_numpy_False_func7, test/torch_np/test_random.py::TestScalarReturn::test_rndm_array_use_numpy_False_random_random, test/torch_np/test_random.py::TestScalarReturn::test_rndm_array_use_numpy_False_random_sample, test/torch_np/test_random.py::TestScalarReturn::test_rndm_array_use_numpy_True_func0, test/torch_np/test_random.py::TestScalarReturn::test_rndm_array_use_numpy_True_func1, test/torch_np/test_random.py::TestScalarReturn::test_rndm_array_use_numpy_True_func2, test/torch_np/test_random.py::TestScalarReturn::test_rndm_array_use_numpy_True_func3, test/torch_np/test_random.py::TestScalarReturn::test_rndm_array_use_numpy_True_func6, test/torch_np/test_random.py::TestScalarReturn::test_rndm_array_use_numpy_True_func7, test/torch_np/test_random.py::TestScalarReturn::test_rndm_array_use_numpy_True_random_random, test/torch_np/test_random.py::TestScalarReturn::test_rndm_array_use_numpy_True_random_sample, test/torch_np/test_random.py::TestScalarReturn::test_rndm_scalar_use_numpy_False_func0, test/torch_np/test_random.py::TestScalarReturn::test_rndm_scalar_use_numpy_False_func1, test/torch_np/test_random.py::TestScalarReturn::test_rndm_scalar_use_numpy_False_func2, test/torch_np/test_random.py::TestScalarReturn::test_rndm_scalar_use_numpy_False_func3, test/torch_np/test_random.py::TestScalarReturn::test_rndm_scalar_use_numpy_False_func6, test/torch_np/test_random.py::TestScalarReturn::test_rndm_scalar_use_numpy_False_func7, test/torch_np/test_random.py::TestScalarReturn::test_rndm_scalar_use_numpy_False_random_random, test/torch_np/test_random.py::TestScalarReturn::test_rndm_scalar_use_numpy_False_random_sample, test/torch_np/test_random.py::TestScalarReturn::test_rndm_scalar_use_numpy_True_func0, test/torch_np/test_random.py::TestScalarReturn::test_rndm_scalar_use_numpy_True_func1, test/torch_np/test_random.py::TestScalarReturn::test_rndm_scalar_use_numpy_True_func2, test/torch_np/test_random.py::TestScalarReturn::test_rndm_scalar_use_numpy_True_func3, test/torch_np/test_random.py::TestScalarReturn::test_rndm_scalar_use_numpy_True_func6, test/torch_np/test_random.py::TestScalarReturn::test_rndm_scalar_use_numpy_True_func7, test/torch_np/test_random.py::TestScalarReturn::test_rndm_scalar_use_numpy_True_random_random, test/torch_np/test_random.py::TestScalarReturn::test_rndm_scalar_use_numpy_True_random_sample, test/torch_np/test_random.py::TestShuffle::test_1d_use_numpy_False, test/torch_np/test_random.py::TestShuffle::test_1d_use_numpy_True, test/torch_np/test_random.py::TestShuffle::test_2d_use_numpy_False, test/torch_np/test_random.py::TestShuffle::test_2d_use_numpy_True, test/torch_np/test_random.py::TestShuffle::test_shuffle_list_use_numpy_False, test/torch_np/test_random.py::TestShuffle::test_shuffle_list_use_numpy_True, test/torch_np/test_random.py::TestChoice::test_choice_use_numpy_False, test/torch_np/test_random.py::TestChoice::test_choice_use_numpy_True, test/torch_np/test_random.py::TestNumpyGlobal::test_numpy_global
2025-03-14T05:06:54.3905266Z 
2025-03-14T05:06:57.0773204Z Running test_bundled_inputs 1/1 ... [2025-03-14 05:06:57.076930]
2025-03-14T05:06:57.0774574Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:06:57.0776323Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_bundled_inputs.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'] ... [2025-03-14 05:06:57.077303]
2025-03-14T05:06:57.9492755Z Running test_ops_fwd_gradients 1/2 ... [2025-03-14 05:06:57.948876]
2025-03-14T05:06:57.9493306Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:06:57.9495989Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_ops_fwd_gradients.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'] ... [2025-03-14 05:06:57.949286]
2025-03-14T05:07:01.8984127Z 
2025-03-14T05:07:01.8985438Z test_bundled_inputs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_bundled_inputs_1.1_2d0d27b6df8138e0_.log
2025-03-14T05:07:01.8993419Z Running 12 items in this shard: test/test_bundled_inputs.py::TestBundledInputs::test_bad_inputs, test/test_bundled_inputs.py::TestBundledInputs::test_dict_args, test/test_bundled_inputs.py::TestBundledInputs::test_double_augment_fail, test/test_bundled_inputs.py::TestBundledInputs::test_double_augment_non_mutator, test/test_bundled_inputs.py::TestBundledInputs::test_double_augment_success, test/test_bundled_inputs.py::TestBundledInputs::test_large_tensor_with_inflation, test/test_bundled_inputs.py::TestBundledInputs::test_multiple_methods_with_inputs, test/test_bundled_inputs.py::TestBundledInputs::test_multiple_methods_with_inputs_both_defined_failure, test/test_bundled_inputs.py::TestBundledInputs::test_multiple_methods_with_inputs_neither_defined_failure, test/test_bundled_inputs.py::TestBundledInputs::test_non_tensors, test/test_bundled_inputs.py::TestBundledInputs::test_rejected_tensors, test/test_bundled_inputs.py::TestBundledInputs::test_single_tensors
2025-03-14T05:07:01.9001664Z 
2025-03-14T05:07:05.4773591Z Running lazy/test_meta_kernel 1/1 ... [2025-03-14 05:07:05.476873]
2025-03-14T05:07:05.4774346Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:07:05.4776224Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'lazy/test_meta_kernel.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'] ... [2025-03-14 05:07:05.477294]
2025-03-14T05:07:08.8843402Z 
2025-03-14T05:07:08.8845613Z lazy/test_meta_kernel 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_meta_kernel_1.1_847cfc29e3eff4b6_.log
2025-03-14T05:07:08.8847327Z 
2025-03-14T05:07:12.5328462Z Running test_ops_jit 2/2 ... [2025-03-14 05:07:12.532453]
2025-03-14T05:07:12.5328932Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:07:12.5332093Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_ops_jit.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'] ... [2025-03-14 05:07:12.532892]
2025-03-14T05:10:00.9554086Z 
2025-03-14T05:10:00.9555528Z test_decomp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_1.1_f9254ada0f6bb980_.log
2025-03-14T05:10:01.2663943Z Running 8999 items in this shard: test/test_decomp.py::TestDecompCPU::test_arange_graph_cpu, test/test_decomp.py::TestDecompCPU::test_batch_norm_unflatten_weight_bias_cpu, test/test_decomp.py::TestDecompCPU::test_bernoulli_default_cpu, test/test_decomp.py::TestDecompCPU::test_broadcasting_index_copy_cpu, test/test_decomp.py::TestDecompCPU::test_cat_single_input_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_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_int16, 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_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_float32, 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_T_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_uint8, 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_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_complex64, 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___radd___cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rand___cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive___rand___cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rand___cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rand___cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rand___cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rand___cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_bool, 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_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_float64, 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_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_uint8, 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_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmod___cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmod___cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmod___cpu_float32, 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_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_int64, 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_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive___ror___cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive___ror___cpu_int32, 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___ror___cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rpow___cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rpow___cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive___rpow___cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rpow___cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rpow___cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rpow___cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rpow___cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rpow___cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rpow___cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rpow___cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rpow___cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rsub___cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rsub___cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive___rsub___cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rsub___cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rsub___cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rsub___cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rsub___cpu_int16, 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___rsub___cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rsub___cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rxor___cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive___rxor___cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rxor___cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rxor___cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rxor___cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rxor___cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive__batch_norm_with_update_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive__batch_norm_with_update_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive__batch_norm_with_update_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive__batch_norm_with_update_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive__chunk_cat_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive__chunk_cat_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive__chunk_cat_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive__chunk_cat_cpu_complex32, 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_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive__chunk_cat_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive__chunk_cat_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive__chunk_cat_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive__chunk_cat_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive__chunk_cat_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive__chunk_cat_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive__native_batch_norm_legit_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive__native_batch_norm_legit_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive__native_batch_norm_legit_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive__native_batch_norm_legit_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive__segment_reduce_lengths_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive__segment_reduce_lengths_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive__segment_reduce_lengths_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive__segment_reduce_lengths_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive__segment_reduce_offsets_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive__segment_reduce_offsets_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive__segment_reduce_offsets_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive__segment_reduce_offsets_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive__softmax_backward_data_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive__softmax_backward_data_cpu_float16, 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_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_cpu_uint8, 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_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_put_accumulate_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_put_accumulate_cpu_complex64, 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_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_put_accumulate_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_put_accumulate_cpu_int16, 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_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_put_accumulate_cpu_int8, 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_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive__upsample_bilinear2d_aa_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive__upsample_bilinear2d_aa_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_abs_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_abs_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_abs_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_abs_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_abs_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_abs_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_abs_cpu_float64, 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_abs_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_abs_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_abs_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_acos_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_acos_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_acos_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_acos_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_acos_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_acos_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_acos_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_acos_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_acos_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_acos_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_acos_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_acos_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_acosh_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_acosh_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_acosh_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_acosh_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_acosh_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_acosh_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_acosh_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_acosh_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_acosh_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_acosh_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_acosh_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_acosh_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_add_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_add_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_add_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_add_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_add_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_add_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_add_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_add_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_add_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_add_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_add_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_add_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_add_cpu_uint8, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_addcdiv_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcdiv_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcdiv_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcdiv_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcmul_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcmul_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcmul_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcmul_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcmul_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcmul_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcmul_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcmul_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcmul_cpu_int64, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_all_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_all_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_all_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_all_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_all_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_all_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_all_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_all_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_all_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_allclose_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_allclose_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_allclose_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_allclose_cpu_float16, 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_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_amax_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_amax_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_amax_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_amax_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_amax_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_amax_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_amax_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_amax_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_amax_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_amin_cpu_bfloat16, 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_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_amin_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_amin_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_amin_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_amin_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_amin_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_amin_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_aminmax_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_aminmax_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_aminmax_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_aminmax_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_aminmax_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_aminmax_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_aminmax_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_aminmax_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_aminmax_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_aminmax_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_angle_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_angle_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_angle_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_angle_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_angle_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_angle_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_angle_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_angle_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_angle_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_angle_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_angle_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_angle_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_any_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_any_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_any_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_any_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_any_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_any_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_any_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_any_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_any_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_any_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_any_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_any_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_arange_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_arange_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_arange_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_arange_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_arange_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_arange_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_arange_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_arange_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_arange_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_argmax_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_argmax_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_argmax_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_argmax_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_argmax_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_argmax_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_argmax_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_argmax_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_argmax_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_argmin_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_argmin_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_argmin_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_argmin_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_argmin_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_argmin_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_argmin_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_argmin_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_argmin_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_argsort_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_argsort_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_argsort_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_argsort_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_argsort_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_argsort_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_argsort_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_argsort_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_argsort_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_argsort_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_argwhere_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_argwhere_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_argwhere_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_argwhere_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_argwhere_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_argwhere_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_argwhere_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_argwhere_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_argwhere_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_argwhere_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_argwhere_cpu_int8, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_expm1_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_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_expm1_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_expm1_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_expm1_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_expm1_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_expm1_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_expm1_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_expm1_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_exponential_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_exponential_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_exponential_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_exponential_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_bool, 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_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_float32, 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_e4m3fnuz, 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_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fft2_cpu_bool, 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, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fft_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fft_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fft_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fftn_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fftn_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fftn_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fftn_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fftn_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fftn_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fftn_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fftn_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fftn_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fftn_cpu_uint8, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfft_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfft_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfft_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfft_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfft_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfft_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfft_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfft_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfft_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfftn_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfftn_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfftn_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfftn_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfftn_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfftn_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfftn_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfftn_cpu_int64, 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_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft2_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft2_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft2_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft2_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft2_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft2_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft_cpu_complex64, 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_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftn_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftn_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftn_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftn_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftn_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftn_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftn_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftn_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftn_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftn_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftshift_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftshift_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftshift_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftshift_cpu_complex32, 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_float32, 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_ifftshift_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftshift_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftshift_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft2_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft2_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft2_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft2_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft2_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft2_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft_cpu_int32, 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_ihfft_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfftn_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfftn_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfftn_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfftn_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfftn_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfftn_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfftn_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfftn_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft2_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft2_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft2_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft2_cpu_int16, 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_irfft2_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft2_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft_cpu_float32, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_gcd_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_gcd_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_gcd_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_gcd_cpu_int8, 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_bool, 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_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_ge_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_ge_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_ge_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_ge_cpu_int8, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_eigvals_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_eigvals_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_eigvals_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_eigvalsh_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_eigvalsh_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_eigvalsh_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_eigvalsh_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_householder_product_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_householder_product_cpu_complex64, 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_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_inv_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_inv_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_inv_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_inv_ex_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_inv_ex_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_inv_ex_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_inv_ex_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_ldl_factor_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_ldl_factor_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_ldl_factor_cpu_float32, 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_factor_ex_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_ldl_factor_ex_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_ldl_factor_ex_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_ldl_solve_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_ldl_solve_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_ldl_solve_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_ldl_solve_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_lstsq_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_lstsq_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_lstsq_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_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_lstsq_grad_oriented_cpu_complex64, 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_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_lu_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_lu_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_lu_factor_cpu_complex128, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_matrix_norm_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_matrix_norm_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_matrix_norm_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_matrix_norm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_matrix_norm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_matrix_norm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_matrix_power_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_matrix_power_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_matrix_power_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_matrix_power_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_matrix_rank_cpu_complex128, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_svdvals_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_svdvals_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_svdvals_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_svdvals_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_tensorinv_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_tensorinv_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_tensorinv_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_tensorinv_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_tensorsolve_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_tensorsolve_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_tensorsolve_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_tensorsolve_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vander_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vander_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vander_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vander_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vander_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vander_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vander_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vander_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vander_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vecdot_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vecdot_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vecdot_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vecdot_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vecdot_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vecdot_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vector_norm_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vector_norm_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vector_norm_cpu_complex64, 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_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linspace_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linspace_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linspace_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linspace_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linspace_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linspace_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linspace_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linspace_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linspace_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_linspace_cpu_uint8, 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_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linspace_tensor_overload_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linspace_tensor_overload_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linspace_tensor_overload_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linspace_tensor_overload_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linspace_tensor_overload_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linspace_tensor_overload_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linspace_tensor_overload_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_linspace_tensor_overload_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_log10_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_log10_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_log10_cpu_complex128, 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_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_log10_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_log10_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_log10_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_log10_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_log10_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_log10_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_log1p_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_log1p_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_log1p_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_log1p_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_log1p_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_log1p_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_log1p_cpu_float64, 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_log1p_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_log1p_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_log2_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_log2_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_log2_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_log2_cpu_complex64, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_matrix_exp_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_matrix_exp_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_matrix_exp_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_matrix_exp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_binary_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_binary_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_binary_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_binary_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_binary_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_binary_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_binary_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_binary_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_binary_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_binary_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_pool2d_with_indices_backward_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_pool2d_with_indices_backward_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_pool2d_with_indices_backward_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_pool2d_with_indices_backward_cpu_float64, 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_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_no_dim_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_no_dim_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_no_dim_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_no_dim_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_no_dim_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_no_dim_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_no_dim_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_no_dim_cpu_uint8, 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_int32, 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_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_with_dim_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_maximum_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_maximum_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_maximum_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_maximum_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_maximum_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_maximum_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_maximum_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_maximum_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_maximum_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_maximum_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_mean_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_mean_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_mean_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_mean_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_mean_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_mean_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_median_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_median_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_median_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_median_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_median_cpu_int16, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_binary_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_binary_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_binary_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_binary_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_binary_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_binary_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_binary_cpu_int32, 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_binary_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_reduction_no_dim_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_reduction_no_dim_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_reduction_no_dim_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_reduction_no_dim_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_reduction_no_dim_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_reduction_no_dim_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_reduction_no_dim_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_reduction_no_dim_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_reduction_no_dim_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_reduction_no_dim_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_reduction_with_dim_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_reduction_with_dim_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_reduction_with_dim_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_reduction_with_dim_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_reduction_with_dim_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_reduction_with_dim_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_reduction_with_dim_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_reduction_with_dim_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_reduction_with_dim_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_reduction_with_dim_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_minimum_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_minimum_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_minimum_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_minimum_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_minimum_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_minimum_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_minimum_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_minimum_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_minimum_cpu_int8, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_mvlgamma_mvlgamma_p_1_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_mvlgamma_mvlgamma_p_1_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_mvlgamma_mvlgamma_p_1_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_mvlgamma_mvlgamma_p_1_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_mvlgamma_mvlgamma_p_5_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_mvlgamma_mvlgamma_p_5_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_mvlgamma_mvlgamma_p_5_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_mvlgamma_mvlgamma_p_5_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_mvlgamma_mvlgamma_p_5_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_mvlgamma_mvlgamma_p_5_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_mvlgamma_mvlgamma_p_5_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_nan_to_num_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nan_to_num_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_nan_to_num_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nan_to_num_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nan_to_num_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nan_to_num_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nan_to_num_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nan_to_num_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nan_to_num_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_nan_to_num_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_nanmean_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nanmean_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nanmean_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nanmean_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nanmedian_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nanmedian_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nanmedian_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nanmedian_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nanmedian_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nanmedian_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nanmedian_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nanmedian_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_nanmedian_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_nanquantile_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nanquantile_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nansum_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nansum_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_nansum_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nansum_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nansum_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nansum_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nansum_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nansum_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nansum_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_nansum_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_narrow_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_narrow_copy_cpu_bool, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_native_dropout_backward_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_native_dropout_backward_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_native_layer_norm_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_native_layer_norm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_native_layer_norm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_native_layer_norm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_ne_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_ne_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_ne_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_ne_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_ne_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_ne_cpu_float32, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_xlogy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_xlogy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_xlogy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_xlogy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_xlogy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_xlogy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_xlogy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_xlogy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_xlogy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_xlogy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_complex32, 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_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_masked_fill_cpu, test/test_decomp.py::TestDecompCPU::test_quick__batch_norm_with_update_cpu_bfloat16, 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_float32, test/test_decomp.py::TestDecompCPU::test_quick__batch_norm_with_update_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick__native_batch_norm_legit_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick__native_batch_norm_legit_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick__native_batch_norm_legit_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick__native_batch_norm_legit_cpu_float64, 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__softmax_backward_data_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_bool, 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_float16, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_int64, 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_bool, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick__upsample_bilinear2d_aa_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick__upsample_bilinear2d_aa_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick__upsample_bilinear2d_aa_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_float64, 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_int64, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_uint8, 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_complex128, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_complex64, 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_int16, 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_int8, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_addcdiv_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_addcdiv_cpu_complex128, 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_addcdiv_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_addcdiv_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_addmm_decomposed_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_addmm_decomposed_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_addmm_decomposed_cpu_complex64, 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_addmm_decomposed_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_addmm_decomposed_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_addmm_decomposed_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_addmm_decomposed_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_addmm_decomposed_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_addmm_decomposed_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_addr_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_addr_cpu_bool, 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_addr_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_addr_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_addr_cpu_float64, 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_int64, 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_bool, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_float64, 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_alias_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_amax_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_amax_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_amax_cpu_float16, 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_int32, test/test_decomp.py::TestDecompCPU::test_quick_amax_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_amax_cpu_int8, 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_bool, test/test_decomp.py::TestDecompCPU::test_quick_amin_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_amin_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_amin_cpu_float64, 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_amin_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_amin_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_amin_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_aminmax_cpu_bfloat16, 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_float32, test/test_decomp.py::TestDecompCPU::test_quick_aminmax_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_aminmax_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_aminmax_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_aminmax_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_aminmax_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_aminmax_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_bfloat16, 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_complex64, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_arange_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_arange_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_arange_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_arange_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_arange_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_arange_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_arange_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_arange_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_arange_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_float32, 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_int32, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_bool, 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_complex64, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_float16, 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_asinh_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_atan2_cpu_bfloat16, 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_float32, test/test_decomp.py::TestDecompCPU::test_quick_atan2_cpu_float64, 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_atan2_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_atan2_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_atan2_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_complex64, 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_float64, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_int16, 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_atan_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_int32, 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_atanh_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_baddbmm_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_baddbmm_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_baddbmm_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_baddbmm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_baddbmm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_baddbmm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_baddbmm_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_baddbmm_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_baddbmm_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_baddbmm_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_baddbmm_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_bernoulli_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_bernoulli_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_bernoulli_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_bernoulli_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_and_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_and_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_and_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_and_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_and_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_and_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_left_shift_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_left_shift_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_left_shift_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_left_shift_cpu_int8, 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_int16, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_not_cpu_int32, 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_not_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_or_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_or_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_or_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_or_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_or_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_or_cpu_uint8, 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_right_shift_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_xor_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_xor_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_xor_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_xor_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_xor_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_xor_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_int16, 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_block_diag_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_bucketize_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_bucketize_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_bucketize_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_bucketize_cpu_float64, 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_bucketize_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_bucketize_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_cat_cpu_bfloat16, 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_complex32, test/test_decomp.py::TestDecompCPU::test_quick_cat_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_cat_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_cat_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_cat_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_cat_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_cat_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_cat_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_cat_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_cat_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_cauchy_cpu_bfloat16, 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_cauchy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_ceil_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_ceil_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_ceil_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_ceil_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_ceil_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_ceil_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_ceil_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_ceil_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_ceil_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_clamp_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_clamp_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_clamp_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_clamp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_clamp_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_clamp_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_clamp_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_clamp_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_clamp_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_clamp_max_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_clamp_max_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_clamp_max_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_clamp_max_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_clamp_max_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_clamp_max_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_clamp_max_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_clamp_max_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_clamp_max_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_clamp_max_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_clamp_min_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_clamp_min_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_clamp_min_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_clamp_min_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_clamp_min_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_clamp_min_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_clamp_min_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_clamp_min_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_clamp_min_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_clamp_min_cpu_uint8, 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_complex128, test/test_decomp.py::TestDecompCPU::test_quick_clone_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_clone_cpu_complex64, 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_int16, test/test_decomp.py::TestDecompCPU::test_quick_clone_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_clone_cpu_int64, 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_complex_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_complex_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_conj_physical_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_conj_physical_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_conj_physical_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_conj_physical_cpu_complex32, 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_float32, test/test_decomp.py::TestDecompCPU::test_quick_conj_physical_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_conj_physical_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_conj_physical_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_conj_physical_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_conj_physical_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_conj_physical_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_constant_pad_nd_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_constant_pad_nd_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_constant_pad_nd_cpu_complex128, 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_int16, test/test_decomp.py::TestDecompCPU::test_quick_constant_pad_nd_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_constant_pad_nd_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_constant_pad_nd_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_constant_pad_nd_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_copysign_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_copysign_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_copysign_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_copysign_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_copysign_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_copysign_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_copysign_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_copysign_cpu_int64, 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__unsafe_masked_index_cpu_float64, 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_addcdiv_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_addcmul_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_addr_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_alias_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_baddbmm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_bernoulli_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_block_diag_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_clamp_max_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_clamp_min_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_deg2rad_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_diag_embed_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_diagonal_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_dot_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_expand_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_fill_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_frac_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_index_fill_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_lerp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_linalg_cross_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_logaddexp2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_logaddexp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_logit_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_logsumexp_cpu_float64, 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test/test_decomp.py::TestDecompCPU::test_quick_core_backward_nn_functional_hardshrink_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_nn_functional_hardswish_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_nn_functional_max_unpool2d_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_nn_functional_max_unpool2d_grad_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_nn_functional_max_unpool3d_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_nn_functional_max_unpool3d_grad_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_nn_functional_softshrink_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_nn_functional_unfold_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_norm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_norm_fro_cpu_float64, 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test/test_decomp.py::TestDecompCPU::test_quick_core_backward_special_xlog1py_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_split_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_split_list_args_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_split_with_sizes_copy_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_std_mean_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_std_mean_unbiased_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_std_unbiased_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_sum_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_t_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_t_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_transpose_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_transpose_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_tril_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_triu_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_unbind_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_unfold_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_core_backward_zero__cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_cos_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_cos_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_cos_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_cos_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_cos_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_cos_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_cos_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_cos_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_cos_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_cos_cpu_int64, 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_complex128, test/test_decomp.py::TestDecompCPU::test_quick_cosh_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_cosh_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_cosh_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_cosh_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_cosh_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_cosh_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_cosh_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_cosh_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_cosh_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_count_nonzero_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_count_nonzero_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_count_nonzero_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_count_nonzero_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_count_nonzero_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_count_nonzero_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_count_nonzero_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_count_nonzero_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_count_nonzero_cpu_int32, 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_float16, test/test_decomp.py::TestDecompCPU::test_quick_cumprod_cpu_float32, 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_cumprod_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_cumprod_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_cumprod_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_cumprod_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_cumsum_cpu_bfloat16, 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_float32, test/test_decomp.py::TestDecompCPU::test_quick_cumsum_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_cumsum_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_cumsum_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_cumsum_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_cumsum_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_cumsum_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_deg2rad_cpu_bfloat16, 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_float32, test/test_decomp.py::TestDecompCPU::test_quick_deg2rad_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_deg2rad_cpu_int16, 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_deg2rad_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_diag_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_diag_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_diag_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_diag_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_diag_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_diag_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_diag_cpu_float64, 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_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_diag_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_diag_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_complex128, 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_float32, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_copy_cpu_bool, 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_float16, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_copy_cpu_int8, 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_bool, 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_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_cpu_int32, 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_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_scatter_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_scatter_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_scatter_cpu_complex128, 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test/test_decomp.py::TestDecompCPU::test_quick_digamma_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_digamma_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_digamma_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_digamma_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_digamma_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_digamma_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_dist_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_dist_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_dist_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_dist_cpu_float16, 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_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_div_floor_rounding_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_div_floor_rounding_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_div_floor_rounding_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_div_floor_rounding_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_div_floor_rounding_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_div_floor_rounding_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_div_floor_rounding_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_div_floor_rounding_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_div_no_rounding_mode_cpu_bfloat16, 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_complex64, test/test_decomp.py::TestDecompCPU::test_quick_div_no_rounding_mode_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_div_no_rounding_mode_cpu_float32, 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_int32, test/test_decomp.py::TestDecompCPU::test_quick_div_no_rounding_mode_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_div_no_rounding_mode_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_div_no_rounding_mode_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_div_trunc_rounding_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_div_trunc_rounding_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_div_trunc_rounding_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_div_trunc_rounding_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_div_trunc_rounding_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_div_trunc_rounding_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_div_trunc_rounding_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_div_trunc_rounding_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_div_trunc_rounding_cpu_uint8, 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_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_float64, test/test_decomp.py::TestDecompCPU::test_quick_dot_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_dot_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_dot_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_dot_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_dot_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_empty_like_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_empty_like_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_empty_like_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_empty_like_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_empty_like_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_empty_like_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_empty_like_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_empty_like_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_empty_like_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_empty_like_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_empty_like_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_empty_like_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_empty_like_cpu_uint8, 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_complex128, test/test_decomp.py::TestDecompCPU::test_quick_empty_strided_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_empty_strided_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_empty_strided_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_empty_strided_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_empty_strided_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_empty_strided_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_empty_strided_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_empty_strided_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_empty_strided_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_eq_cpu_bfloat16, 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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_int16, test/test_decomp.py::TestDecompCPU::test_quick_erf_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_erf_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_erf_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_erf_cpu_uint8, 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_float16, test/test_decomp.py::TestDecompCPU::test_quick_erfc_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_erfc_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_erfc_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_erfc_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_erfc_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_erfc_cpu_int8, 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_bool, 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_float64, test/test_decomp.py::TestDecompCPU::test_quick_erfinv_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_erfinv_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_erfinv_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_erfinv_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_erfinv_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_exp2_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_exp2_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_exp2_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_exp2_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_exp2_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_exp2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_exp2_cpu_float64, 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_int64, test/test_decomp.py::TestDecompCPU::test_quick_exp2_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_exp2_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_exp_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_exp_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_exp_cpu_complex128, 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_float32, 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test/test_decomp.py::TestDecompCPU::test_quick_expand_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_expand_copy_cpu_int64, 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_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_expand_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_expand_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_expand_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_expand_cpu_float16, 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_int16, test/test_decomp.py::TestDecompCPU::test_quick_expand_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_expand_cpu_int64, 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_complex128, test/test_decomp.py::TestDecompCPU::test_quick_expm1_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_expm1_cpu_float16, 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_int32, test/test_decomp.py::TestDecompCPU::test_quick_expm1_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_expm1_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_expm1_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_exponential_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_exponential_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_exponential_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_exponential_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_eye_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_eye_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_eye_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_eye_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_eye_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_eye_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_eye_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_eye_cpu_float8_e4m3fn, test/test_decomp.py::TestDecompCPU::test_quick_eye_cpu_float8_e4m3fnuz, test/test_decomp.py::TestDecompCPU::test_quick_eye_cpu_float8_e5m2, test/test_decomp.py::TestDecompCPU::test_quick_eye_cpu_float8_e5m2fnuz, test/test_decomp.py::TestDecompCPU::test_quick_eye_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_eye_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_eye_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_eye_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_eye_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_fft_fft2_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_fft_fft2_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_fft_fft2_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_fft_fft2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_fft_fft2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_fft_fft2_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_fft_fft2_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_fft_fft2_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_fft_fft2_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_fft_fft2_cpu_uint8, 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_int32, test/test_decomp.py::TestDecompCPU::test_quick_fft_fft_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_fft_fft_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_fft_fft_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_fft_fftn_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_fft_fftn_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_fft_fftn_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_fft_fftn_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_fft_fftn_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_fft_fftn_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_fft_fftn_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_fft_fftn_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_fft_fftn_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_fft_fftn_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft2_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft2_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft2_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft2_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft2_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft2_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft2_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft2_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfftn_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfftn_cpu_complex128, 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test/test_decomp.py::TestDecompCPU::test_quick_floor_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_floor_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_floor_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_floor_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_floor_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_floor_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_floor_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_floor_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_floor_divide_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_floor_divide_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_floor_divide_cpu_float32, 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_int32, 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test/test_decomp.py::TestDecompCPU::test_quick_igammac_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_igammac_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_igammac_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_igammac_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_index_add_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_index_add_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_index_add_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_index_add_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_index_add_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_index_add_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_index_add_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_index_add_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_index_add_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_index_add_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_index_add_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_index_add_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_index_add_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_index_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_index_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_index_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_index_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_index_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_index_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_index_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_index_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_index_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_index_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_index_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_index_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_index_copy_cpu_uint8, 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_complex32, test/test_decomp.py::TestDecompCPU::test_quick_index_fill_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_index_fill_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_index_fill_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_index_fill_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_index_fill_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_index_fill_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_index_fill_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_index_fill_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_index_fill_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_index_select_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_index_select_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_index_select_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_index_select_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_index_select_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_index_select_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_index_select_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_index_select_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_index_select_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_index_select_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_index_select_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_index_select_cpu_int8, 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test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_bfloat16, 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_isnan_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_isneginf_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_isneginf_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_isneginf_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_isneginf_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_isneginf_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_isneginf_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_isneginf_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_isneginf_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_isneginf_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_isneginf_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_isposinf_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_isposinf_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_isposinf_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_isposinf_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_isposinf_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_isposinf_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_isposinf_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_isposinf_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_isposinf_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_isposinf_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_item_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_item_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_item_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_item_cpu_complex32, 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test/test_decomp.py::TestDecompCPU::test_quick_le_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_le_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_le_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_le_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_le_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_le_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_le_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_le_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_le_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_lerp_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_lerp_cpu_complex128, 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_lerp_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_lerp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_lgamma_cpu_bfloat16, 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_float32, test/test_decomp.py::TestDecompCPU::test_quick_lgamma_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_lgamma_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_lgamma_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_lgamma_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_lgamma_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_lgamma_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_linalg_cross_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_linalg_cross_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_linalg_cross_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_linalg_cross_cpu_float16, 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_int32, test/test_decomp.py::TestDecompCPU::test_quick_linalg_cross_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_linalg_cross_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_linalg_cross_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_linalg_vector_norm_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_linalg_vector_norm_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_linalg_vector_norm_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_linalg_vector_norm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_linalg_vector_norm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_linalg_vector_norm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_linspace_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_linspace_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_linspace_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_linspace_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_linspace_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_linspace_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_linspace_cpu_int16, 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_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_linspace_tensor_overload_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_linspace_tensor_overload_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_linspace_tensor_overload_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_linspace_tensor_overload_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_linspace_tensor_overload_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_linspace_tensor_overload_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_linspace_tensor_overload_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_linspace_tensor_overload_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_linspace_tensor_overload_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_linspace_tensor_overload_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_linspace_tensor_overload_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_log_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_log_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_log_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_log_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_log_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_log_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_log_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_log_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_log_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_log_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_log_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_log_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_log_normal_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_log_normal_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_log_normal_cpu_float32, 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_log_softmax_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_log_softmax_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_log_softmax_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_logaddexp2_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_logaddexp2_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_logaddexp2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_logaddexp2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_logaddexp_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_logaddexp_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_logaddexp_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_logaddexp_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_logaddexp_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_logaddexp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_logical_and_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_logical_and_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_logical_and_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_logical_and_cpu_complex64, 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_int32, test/test_decomp.py::TestDecompCPU::test_quick_logical_and_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_logical_and_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_logical_and_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_logical_not_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_logical_not_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_logical_not_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_logical_not_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_logical_not_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_logical_not_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_logical_not_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_logical_not_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_logical_not_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_logical_not_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_logical_not_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_logical_not_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_logical_or_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_logical_or_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_logical_or_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_logical_or_cpu_complex64, 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_or_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_logical_or_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_logical_or_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_logical_or_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_logical_or_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_logical_xor_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_logical_xor_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_logical_xor_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_logical_xor_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_logical_xor_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_logical_xor_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_logical_xor_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_logical_xor_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_logical_xor_cpu_int32, 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_logical_xor_cpu_uint8, 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_float16, test/test_decomp.py::TestDecompCPU::test_quick_logit_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_logit_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_logit_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_logit_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_logit_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_logit_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_logit_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_logspace_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_logspace_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_logspace_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_logspace_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_logspace_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_logspace_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_logspace_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_logspace_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_logspace_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_logspace_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_logspace_cpu_uint8, 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_float16, test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_complex128, 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_float32, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_lt_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_lt_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_lt_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_lt_cpu_float32, 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_lt_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_lt_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_lt_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_lt_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_uint8, 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_float16, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_mean_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_mean_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_mean_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_mean_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_mean_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_mean_cpu_float64, 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_complex128, 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_float16, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_complex128, 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_float32, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_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_int32, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_minimum_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_minimum_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_minimum_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_minimum_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_minimum_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_minimum_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_minimum_cpu_int32, 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_minimum_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_bfloat16, 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_complex64, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_int16, 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_mv_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_1_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_1_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_1_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_1_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_1_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_1_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_1_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_1_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_3_cpu_bfloat16, 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_float32, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_3_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_3_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_3_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_3_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_3_cpu_uint8, 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_float32, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_5_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_5_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_5_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_5_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_5_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_nan_to_num_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nan_to_num_cpu_bool, 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_float64, test/test_decomp.py::TestDecompCPU::test_quick_nan_to_num_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_nan_to_num_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_nan_to_num_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_nan_to_num_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_nan_to_num_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_nansum_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nansum_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_nansum_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nansum_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nansum_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nansum_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_nansum_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_nansum_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_nansum_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_nansum_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_native_batch_norm_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_native_batch_norm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_native_batch_norm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_native_batch_norm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_native_dropout_backward_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_native_dropout_backward_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_native_dropout_backward_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_native_dropout_backward_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_native_dropout_backward_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_native_dropout_backward_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_native_dropout_backward_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_native_dropout_backward_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_native_dropout_backward_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_native_dropout_backward_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_native_layer_norm_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_native_layer_norm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_native_layer_norm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_native_layer_norm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_ne_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_ne_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_ne_cpu_complex128, 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_float32, test/test_decomp.py::TestDecompCPU::test_quick_ne_cpu_float64, 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_ne_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_ne_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_ne_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_neg_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_neg_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_neg_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_neg_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_neg_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_neg_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_neg_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_neg_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_neg_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_neg_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_neg_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_neg_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_cpu_bfloat16, 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_complex32, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_float32, 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_int64, 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_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_bool, 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_float16, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_bfloat16, 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_complex32, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_float32, 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_ones_cpu_int32, 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_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_nextafter_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nextafter_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nextafter_cpu_float32, 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_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_binary_cross_entropy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_binary_cross_entropy_cpu_float64, 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_binary_cross_entropy_with_logits_cpu_float16, 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_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_elu_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_elu_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_elu_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_embedding_cpu_bfloat16, 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_embedding_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_gelu_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_gelu_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_glu_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_glu_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_glu_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_glu_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardshrink_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardshrink_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardshrink_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardshrink_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardsigmoid_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardsigmoid_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardsigmoid_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardsigmoid_cpu_float64, 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_hardswish_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardswish_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardtanh_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardtanh_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardtanh_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardtanh_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardtanh_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardtanh_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardtanh_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardtanh_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_huber_loss_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_huber_loss_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_huber_loss_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_huber_loss_cpu_float64, 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_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_leaky_relu_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_logsigmoid_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_logsigmoid_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_logsigmoid_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_logsigmoid_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool2d_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool2d_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool2d_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool2d_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool2d_grad_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool2d_grad_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool2d_grad_cpu_float32, 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_float16, 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_max_unpool3d_grad_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool3d_grad_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool3d_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_bfloat16, 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_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_mse_loss_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_mse_loss_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_pad_constant_cpu_bfloat16, 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_complex128, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_pad_constant_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_pad_constant_cpu_float16, 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_int32, 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_int8, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_pad_constant_cpu_uint8, 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_prelu_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_relu6_cpu_bfloat16, 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_float64, 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_relu6_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_relu6_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_relu_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_relu_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_relu_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_relu_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_relu_cpu_int16, 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_relu_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_rrelu_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_rrelu_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_rrelu_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_silu_cpu_bfloat16, 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_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_softplus_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_softplus_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_softplus_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_softshrink_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_softshrink_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_softshrink_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_softshrink_cpu_float64, 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_nn_functional_unfold_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_unfold_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_unfold_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_unfold_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_norm_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_norm_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_norm_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_norm_cpu_complex64, 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_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_norm_fro_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_norm_fro_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_norm_fro_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_norm_fro_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_norm_fro_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_norm_fro_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_norm_inf_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_norm_inf_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_norm_inf_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_norm_inf_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_norm_inf_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_norm_inf_cpu_float32, 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_complex64, test/test_decomp.py::TestDecompCPU::test_quick_norm_nuc_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_norm_nuc_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_normal_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_normal_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_normal_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_normal_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_normal_in_place_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_normal_in_place_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_normal_in_place_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_normal_in_place_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_normal_in_place_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_normal_in_place_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_normal_number_mean_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_normal_number_mean_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_normal_number_mean_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_normal_number_mean_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_ones_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_ones_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_ones_cpu_complex128, 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test/test_decomp.py::TestDecompCPU::test_quick_randn_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_randn_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_randn_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_randn_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_reciprocal_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_reciprocal_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_reciprocal_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_reciprocal_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_reciprocal_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_reciprocal_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_reciprocal_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_reciprocal_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_reciprocal_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_reciprocal_cpu_int64, 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test/test_decomp.py::TestDecompCPU::test_quick_renorm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_renorm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_renorm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_repeat_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_repeat_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_repeat_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_repeat_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_repeat_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_repeat_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_repeat_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_repeat_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_repeat_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_repeat_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_repeat_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_repeat_cpu_uint8, 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test/test_decomp.py::TestDecompCPU::test_quick_rot90_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_rot90_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_rot90_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_rot90_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_rot90_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_rot90_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_rot90_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_rot90_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_rot90_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_rot90_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_round_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_round_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_round_cpu_float32, 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_int32, 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_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_round_decimals_0_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_round_decimals_0_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_round_decimals_0_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_round_decimals_0_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_round_decimals_3_cpu_bfloat16, 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_float32, test/test_decomp.py::TestDecompCPU::test_quick_round_decimals_neg_3_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_rsqrt_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_rsqrt_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_rsqrt_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_rsqrt_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_rsqrt_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_rsqrt_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_rsqrt_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_rsqrt_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_rsqrt_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_rsqrt_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_rsqrt_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_rsqrt_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_rsub_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_rsub_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_rsub_cpu_complex64, 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_rsub_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_rsub_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_rsub_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_rsub_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_rsub_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_rsub_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_select_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_select_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_select_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_select_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_select_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_select_cpu_float16, 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test/test_decomp.py::TestDecompCPU::test_quick_sgn_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_sigmoid_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_sigmoid_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_sigmoid_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_sigmoid_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_sigmoid_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_sigmoid_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_sigmoid_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_sigmoid_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_sigmoid_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_sigmoid_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_sigmoid_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_sigmoid_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_sign_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_sign_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_sign_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_sign_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_sign_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_sign_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_sign_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_sign_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_sign_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_sign_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_signbit_cpu_bfloat16, 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_int16, test/test_decomp.py::TestDecompCPU::test_quick_signbit_cpu_int32, 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_signbit_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_sin_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_sin_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_sin_cpu_complex128, 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_int16, test/test_decomp.py::TestDecompCPU::test_quick_sin_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_sin_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_sin_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_sin_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_sinc_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_sinc_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_sinc_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_sinc_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_sinc_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_sinc_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_sinc_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_sinc_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_sinc_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_sinc_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_sinc_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_sinc_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_sinh_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_sinh_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_sinh_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_sinh_cpu_complex64, 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_sinh_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_sinh_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_sinh_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_sinh_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_sinh_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_sinh_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_slice_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_slice_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_slice_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_slice_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_slice_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_slice_cpu_float16, 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test/test_decomp.py::TestDecompCPU::test_quick_special_entr_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_special_entr_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_special_entr_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_special_erfcx_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_special_erfcx_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_special_erfcx_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_special_erfcx_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_special_erfcx_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_special_erfcx_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_special_erfcx_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_special_erfcx_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_special_i0e_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_special_i0e_cpu_bool, 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test/test_decomp.py::TestDecompCPU::test_quick_special_i1_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_special_i1_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_special_i1_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_special_i1_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_special_i1e_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_special_i1e_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_special_i1e_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_special_i1e_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_special_i1e_cpu_float64, 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_i1e_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_special_i1e_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_special_i1e_cpu_uint8, 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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_ndtr_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_special_ndtr_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_special_ndtr_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_special_ndtri_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_special_ndtri_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_special_ndtri_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_special_ndtri_cpu_int16, 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_ndtri_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_special_ndtri_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_special_xlog1py_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_special_xlog1py_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_special_xlog1py_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_special_xlog1py_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_special_xlog1py_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_special_xlog1py_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_special_xlog1py_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_special_xlog1py_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_special_xlog1py_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_special_xlog1py_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_special_zeta_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_special_zeta_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_special_zeta_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_special_zeta_cpu_int16, 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_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_bool, 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_complex64, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_float32, 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_int16, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_int8, 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_complex128, 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_float16, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_float32, 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_int32, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_int64, 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_bool, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_multiple_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_multiple_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_multiple_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_multiple_cpu_complex32, 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_float32, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_multiple_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_multiple_cpu_int16, 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_squeeze_multiple_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_multiple_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_stack_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_stack_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_stack_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_stack_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_stack_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_stack_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_stack_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_stack_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_stack_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_stack_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_stack_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_stack_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_stack_cpu_uint8, 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_complex64, test/test_decomp.py::TestDecompCPU::test_quick_std_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_std_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_std_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_std_mean_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_std_mean_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_std_mean_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_std_mean_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_std_mean_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_std_mean_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_std_mean_unbiased_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_std_mean_unbiased_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_std_mean_unbiased_cpu_complex64, 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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_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_t_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_t_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_t_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_t_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_t_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_t_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_t_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_t_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_t_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_t_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_t_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_take_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_take_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_take_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_take_cpu_complex64, 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_float64, test/test_decomp.py::TestDecompCPU::test_quick_take_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_take_cpu_int32, 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_take_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_tan_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_tan_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_tan_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_tan_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_tan_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_tan_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_tan_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_tan_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_tan_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_tan_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_tan_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_tan_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_tanh_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_tanh_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_tanh_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_tanh_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_tanh_cpu_float16, 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_int16, test/test_decomp.py::TestDecompCPU::test_quick_tanh_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_tanh_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_tanh_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_tanh_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_trace_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_trace_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_trace_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_trace_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_trace_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_trace_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_trace_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_trace_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_trace_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_transpose_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_transpose_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_transpose_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_transpose_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_transpose_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_transpose_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_transpose_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_transpose_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_transpose_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_transpose_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_transpose_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_transpose_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_transpose_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_transpose_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_transpose_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_transpose_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_transpose_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_transpose_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_transpose_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_transpose_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_transpose_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_transpose_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_transpose_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_transpose_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_transpose_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_transpose_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_tril_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_tril_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_tril_cpu_complex128, 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_float16, test/test_decomp.py::TestDecompCPU::test_quick_tril_cpu_float32, 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_int32, test/test_decomp.py::TestDecompCPU::test_quick_tril_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_tril_cpu_int8, 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_tril_indices_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_triu_indices_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_triu_indices_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_trunc_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_trunc_cpu_float16, 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_int32, test/test_decomp.py::TestDecompCPU::test_quick_trunc_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_trunc_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_trunc_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_unbind_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_unbind_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_unbind_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_unbind_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_unbind_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_unbind_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_unbind_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_unbind_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_unbind_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_unbind_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_unbind_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_unbind_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_unbind_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_unbind_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_unbind_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_unbind_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_unbind_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_unbind_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_unbind_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_unbind_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_unbind_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_unbind_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_unbind_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_unbind_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_unbind_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_unbind_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_complex64, 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_int16, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_float64, 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_unfold_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_uniform_cpu_bfloat16, 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_float16, test/test_decomp.py::TestDecompCPU::test_quick_uniform_cpu_float32, 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_bool, 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_complex64, test/test_decomp.py::TestDecompCPU::test_quick_unsafe_split_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_unsafe_split_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_unsafe_split_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_unsafe_split_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_unsafe_split_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_unsafe_split_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_unsafe_split_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_unsafe_split_cpu_uint8, 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_complex64, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_int8, 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_bool, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_cpu_float32, 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_unsqueeze_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_var_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_var_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_var_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_var_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_var_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_var_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_var_mean_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_var_mean_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_var_mean_cpu_complex64, 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_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_var_mean_unbiased_cpu_complex128, 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_var_mean_unbiased_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_var_mean_unbiased_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_var_unbiased_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_var_unbiased_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_var_unbiased_cpu_complex64, 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_var_unbiased_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_vdot_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_vdot_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_vdot_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_vdot_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_vdot_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_vdot_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_vdot_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_vdot_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_vdot_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_vdot_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_vdot_cpu_uint8, 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_complex128, test/test_decomp.py::TestDecompCPU::test_quick_view_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_view_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_view_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_view_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_view_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_view_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_view_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_view_copy_cpu_int8, 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_bool, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_float64, 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_int64, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_int64, 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_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_xlogy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_xlogy_cpu_float16, 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_int16, test/test_decomp.py::TestDecompCPU::test_quick_xlogy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_xlogy_cpu_int64, 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_bool, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_int16, 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_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_float64, 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_quick_zeros_like_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_eval_mode_cpu_float32, test/test_decomp.py::TestDecompCPU::test_rnn_decomp_module_nn_GRU_eval_mode_cpu_float64, 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_GRU_train_mode_cpu_float64, 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_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::TestDecompCPU::test_rnn_decomp_module_nn_RNN_train_mode_cpu_float32, 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_contiguous_softmax_cpu, test/test_decomp.py::DecompOneOffTestsCPU::test_elu_backward_cpu, test/test_decomp.py::DecompOneOffTestsCPU::test_exponential_non_inf_cpu, test/test_decomp.py::DecompOneOffTestsCPU::test_native_layer_norm_cpu_decomp_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, test/test_decomp.py::DecompOneOffTestsCPU::test_sdpa_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_decomp.py::DecompOneOffTestsCPU::test_sdpa_nn_functional_scaled_dot_product_attention_cpu_float64, test/test_decomp.py::DecompOneOffTestsCPU::test_threshold_backward_dtype_cpu, test/test_decomp.py::DecompOneOffTestsCPU::test_weight_norm_interface_cpu, test/test_decomp.py::HasDecompTest::test_aten_core_operators, test/test_decomp.py::HasDecompTest::test_has_decomposition
2025-03-14T05:10:01.5617716Z 
2025-03-14T05:10:05.0145303Z Running test_out_dtype_op 1/1 ... [2025-03-14 05:10:05.013707]
2025-03-14T05:10:05.0146234Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:10:05.0148666Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 05:10:05.014169]
2025-03-14T05:10:09.5355792Z 
2025-03-14T05:10:09.5357464Z 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_46e000b8774f1cdf_.log
2025-03-14T05:10:09.5369720Z 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
2025-03-14T05:10:09.5376904Z 
2025-03-14T05:10:14.1487540Z Running dynamo/test_input_attr_tracking 1/1 ... [2025-03-14 05:10:14.147879]
2025-03-14T05:10:14.1488485Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:10:14.1490899Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_input_attr_tracking.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'] ... [2025-03-14 05:10:14.148374]
2025-03-14T05:10:17.7591734Z 
2025-03-14T05:10:17.7593043Z dynamo/test_input_attr_tracking 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_input_attr_tracking_1.1_7a0a0aa534c1db52_.log
2025-03-14T05:10:17.7593930Z 
2025-03-14T05:10:21.4920310Z Running nn/test_pruning 1/1 ... [2025-03-14 05:10:21.491622]
2025-03-14T05:10:21.4921159Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:10:21.4923635Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'nn/test_pruning.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'] ... [2025-03-14 05:10:21.492001]
2025-03-14T05:10:25.3126253Z 
2025-03-14T05:10:25.3127948Z nn/test_pruning 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_pruning_1.1_3e3a253c752953e6_.log
2025-03-14T05:10:25.3150134Z Running 34 items in this shard: test/nn/test_pruning.py::TestPruningNN::test_compute_nparams_to_prune, test/nn/test_pruning.py::TestPruningNN::test_custom_from_mask_pruning, test/nn/test_pruning.py::TestPruningNN::test_global_pruning, test/nn/test_pruning.py::TestPruningNN::test_global_pruning_importance_scores, test/nn/test_pruning.py::TestPruningNN::test_identity_pruning, test/nn/test_pruning.py::TestPruningNN::test_l1_unstructured_pruning, test/nn/test_pruning.py::TestPruningNN::test_l1_unstructured_pruning_with_importance_scores, test/nn/test_pruning.py::TestPruningNN::test_ln_structured_pruning, test/nn/test_pruning.py::TestPruningNN::test_ln_structured_pruning_importance_scores, test/nn/test_pruning.py::TestPruningNN::test_multiple_pruning_calls, test/nn/test_pruning.py::TestPruningNN::test_prune, test/nn/test_pruning.py::TestPruningNN::test_prune_importance_scores, test/nn/test_pruning.py::TestPruningNN::test_prune_importance_scores_mimic_default, test/nn/test_pruning.py::TestPruningNN::test_pruning_container, test/nn/test_pruning.py::TestPruningNN::test_pruning_container_compute_mask, test/nn/test_pruning.py::TestPruningNN::test_pruning_id_consistency, test/nn/test_pruning.py::TestPruningNN::test_pruning_rollback, test/nn/test_pruning.py::TestPruningNN::test_pruning_serialization_model, test/nn/test_pruning.py::TestPruningNN::test_pruning_serialization_state_dict, test/nn/test_pruning.py::TestPruningNN::test_random_pruning, test/nn/test_pruning.py::TestPruningNN::test_random_pruning_0perc, test/nn/test_pruning.py::TestPruningNN::test_random_pruning_forward, test/nn/test_pruning.py::TestPruningNN::test_random_pruning_new_weight, test/nn/test_pruning.py::TestPruningNN::test_random_pruning_orig, test/nn/test_pruning.py::TestPruningNN::test_random_pruning_pickle, test/nn/test_pruning.py::TestPruningNN::test_random_pruning_sizes, test/nn/test_pruning.py::TestPruningNN::test_random_structured_pruning_amount, test/nn/test_pruning.py::TestPruningNN::test_remove_pruning, test/nn/test_pruning.py::TestPruningNN::test_remove_pruning_exception, test/nn/test_pruning.py::TestPruningNN::test_remove_pruning_forward, test/nn/test_pruning.py::TestPruningNN::test_rnn_pruning, test/nn/test_pruning.py::TestPruningNN::test_unstructured_pruning_same_magnitude, test/nn/test_pruning.py::TestPruningNN::test_validate_pruning_amount, test/nn/test_pruning.py::TestPruningNN::test_validate_pruning_amount_init
2025-03-14T05:10:25.3170033Z 
2025-03-14T05:10:28.8127566Z Running export/test_hop 1/1 ... [2025-03-14 05:10:28.812227]
2025-03-14T05:10:28.8128445Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:10:28.8130475Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_hop.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'] ... [2025-03-14 05:10:28.812651]
2025-03-14T05:10:42.8007311Z 
2025-03-14T05:10:42.8009036Z export/test_hop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_hop_1.1_19991d0f5fd7f695_.log
2025-03-14T05:10:42.8037802Z Running 36 items in this shard: test/export/test_hop.py::TestHOPCPU::test_aot_export_auto_functionalize_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_aot_export_cond_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_aot_export_flex_attention_backward_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_aot_export_flex_attention_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_aot_export_invoke_quant_packed_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_aot_export_invoke_quant_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_aot_export_invoke_subgraph_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_aot_export_scan_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_aot_export_while_loop_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_auto_functionalize_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_cond_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_flex_attention_backward_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_flex_attention_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_invoke_quant_packed_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_invoke_quant_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_invoke_subgraph_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_scan_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_while_loop_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_auto_functionalize_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_cond_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_flex_attention_backward_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_flex_attention_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_invoke_quant_packed_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_invoke_quant_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_invoke_subgraph_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_scan_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_while_loop_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_auto_functionalize_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_cond_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_flex_attention_backward_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_flex_attention_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_invoke_quant_packed_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_invoke_quant_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_invoke_subgraph_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_scan_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_while_loop_simple_cpu_float32
2025-03-14T05:10:42.8063767Z 
2025-03-14T05:10:46.4672278Z Running test_numpy_interop 1/1 ... [2025-03-14 05:10:46.466806]
2025-03-14T05:10:46.4673226Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:10:46.4675554Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_numpy_interop.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'] ... [2025-03-14 05:10:46.467144]
2025-03-14T05:10:50.2363894Z 
2025-03-14T05:10:50.2366465Z test_numpy_interop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_numpy_interop_1.1_00225e73396764a1_.log
2025-03-14T05:10:50.2381260Z Running 41 items in this shard: test/test_numpy_interop.py::TestNumPyInteropCPU::test___eq___cpu_bool, test/test_numpy_interop.py::TestNumPyInteropCPU::test___eq___cpu_complex128, test/test_numpy_interop.py::TestNumPyInteropCPU::test___eq___cpu_complex64, test/test_numpy_interop.py::TestNumPyInteropCPU::test___eq___cpu_float16, test/test_numpy_interop.py::TestNumPyInteropCPU::test___eq___cpu_float32, test/test_numpy_interop.py::TestNumPyInteropCPU::test___eq___cpu_float64, test/test_numpy_interop.py::TestNumPyInteropCPU::test___eq___cpu_int16, test/test_numpy_interop.py::TestNumPyInteropCPU::test___eq___cpu_int32, test/test_numpy_interop.py::TestNumPyInteropCPU::test___eq___cpu_int64, test/test_numpy_interop.py::TestNumPyInteropCPU::test___eq___cpu_int8, test/test_numpy_interop.py::TestNumPyInteropCPU::test___eq___cpu_uint8, test/test_numpy_interop.py::TestNumPyInteropCPU::test_ctor_with_invalid_numpy_array_sequence_cpu, test/test_numpy_interop.py::TestNumPyInteropCPU::test_ctor_with_numpy_scalar_ctor_cpu, test/test_numpy_interop.py::TestNumPyInteropCPU::test_empty_tensors_interop_cpu, test/test_numpy_interop.py::TestNumPyInteropCPU::test_from_list_of_ndarray_warning_cpu, test/test_numpy_interop.py::TestNumPyInteropCPU::test_from_numpy_cpu, test/test_numpy_interop.py::TestNumPyInteropCPU::test_from_numpy_no_leak_on_invalid_dtype_cpu, test/test_numpy_interop.py::TestNumPyInteropCPU::test_has_storage_numpy_cpu, test/test_numpy_interop.py::TestNumPyInteropCPU::test_multiplication_numpy_scalar_cpu, test/test_numpy_interop.py::TestNumPyInteropCPU::test_numpy_array_interface_cpu, test/test_numpy_interop.py::TestNumPyInteropCPU::test_numpy_index_cpu, test/test_numpy_interop.py::TestNumPyInteropCPU::test_numpy_index_multi_cpu, test/test_numpy_interop.py::TestNumPyInteropCPU::test_numpy_non_writeable_cpu, test/test_numpy_interop.py::TestNumPyInteropCPU::test_numpy_scalar_cmp_cpu_bfloat16, test/test_numpy_interop.py::TestNumPyInteropCPU::test_numpy_scalar_cmp_cpu_bool, test/test_numpy_interop.py::TestNumPyInteropCPU::test_numpy_scalar_cmp_cpu_complex128, test/test_numpy_interop.py::TestNumPyInteropCPU::test_numpy_scalar_cmp_cpu_complex64, test/test_numpy_interop.py::TestNumPyInteropCPU::test_numpy_scalar_cmp_cpu_float16, test/test_numpy_interop.py::TestNumPyInteropCPU::test_numpy_scalar_cmp_cpu_float32, test/test_numpy_interop.py::TestNumPyInteropCPU::test_numpy_scalar_cmp_cpu_float64, test/test_numpy_interop.py::TestNumPyInteropCPU::test_numpy_scalar_cmp_cpu_int16, test/test_numpy_interop.py::TestNumPyInteropCPU::test_numpy_scalar_cmp_cpu_int32, test/test_numpy_interop.py::TestNumPyInteropCPU::test_numpy_scalar_cmp_cpu_int64, test/test_numpy_interop.py::TestNumPyInteropCPU::test_numpy_scalar_cmp_cpu_int8, test/test_numpy_interop.py::TestNumPyInteropCPU::test_numpy_scalar_cmp_cpu_uint8, test/test_numpy_interop.py::TestNumPyInteropCPU::test_numpy_unresizable_cpu, test/test_numpy_interop.py::TestNumPyInteropCPU::test_parse_numpy_int_cpu, test/test_numpy_interop.py::TestNumPyInteropCPU::test_parse_numpy_int_overflow_cpu, test/test_numpy_interop.py::TestNumPyInteropCPU::test_to_numpy_bool_cpu, test/test_numpy_interop.py::TestNumPyInteropCPU::test_to_numpy_cpu, test/test_numpy_interop.py::TestNumPyInteropCPU::test_to_numpy_force_argument_cpu
2025-03-14T05:10:50.2395318Z 
2025-03-14T05:10:53.7531907Z Running export/test_experimental 1/1 ... [2025-03-14 05:10:53.752778]
2025-03-14T05:10:53.7532781Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:10:53.7535406Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_experimental.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'] ... [2025-03-14 05:10:53.753146]
2025-03-14T05:10:57.1628387Z 
2025-03-14T05:10:57.1630256Z export/test_experimental 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_experimental_1.1_6b158183fab98c27_.log
2025-03-14T05:10:57.1631660Z 
2025-03-14T05:11:01.2059574Z Running test_monitor 1/1 ... [2025-03-14 05:11:01.205488]
2025-03-14T05:11:01.2060368Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:11:01.2062342Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 05:11:01.205872]
2025-03-14T05:11:05.0761836Z 
2025-03-14T05:11:05.0763240Z test_monitor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_monitor_1.1_992cf7cd739f0500_.log
2025-03-14T05:11:05.0767591Z 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
2025-03-14T05:11:05.0770839Z 
2025-03-14T05:11:08.9876370Z Running dynamo/test_exc 1/1 ... [2025-03-14 05:11:08.987220]
2025-03-14T05:11:08.9876985Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:11:08.9878705Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_exc.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'] ... [2025-03-14 05:11:08.987577]
2025-03-14T05:11:12.5715194Z 
2025-03-14T05:11:12.5716477Z dynamo/test_exc 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_exc_1.1_671803856b6a6c86_.log
2025-03-14T05:11:12.5717543Z 
2025-03-14T05:11:16.2153755Z Running test_binary_ufuncs 1/1 ... [2025-03-14 05:11:16.214900]
2025-03-14T05:11:16.2154540Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:11:16.2158758Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_binary_ufuncs.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'] ... [2025-03-14 05:11:16.215333]
2025-03-14T05:12:17.5731486Z 
2025-03-14T05:12:17.5732912Z test_ops_fwd_gradients 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_fwd_gradients_1.2_209271c063b91f78_.log
2025-03-14T05:12:17.7069378Z Running 1603 items in this shard: test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_H_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_T_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___getitem___cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___radd___cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___radd___cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___rdiv___cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___rdiv___cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___rmatmul___cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___rmul___cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___rsub___cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad__segment_reduce_offsets_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad__unsafe_masked_index_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_abs_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_acos_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_acos_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_acosh_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_add_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_add_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_addbmm_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_addbmm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_addcdiv_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_addcmul_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_addmm_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_addmm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_addmm_decomposed_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_addr_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_alias_copy_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_alias_copy_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_allclose_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_amin_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_aminmax_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_arange_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_argsort_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_argwhere_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_argwhere_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_as_strided_copy_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_as_strided_partial_views_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_as_strided_scatter_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_asin_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_asinh_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_atan_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_atanh_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_atleast_1d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_atleast_3d_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_atleast_3d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_baddbmm_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_baddbmm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_bernoulli_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_bfloat16_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_block_diag_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_block_diag_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_bool_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_broadcast_tensors_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_broadcast_tensors_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_broadcast_to_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_cartesian_prod_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_cat_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_cdist_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_cdouble_cpu_float64, 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test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_linspace_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_linspace_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_linspace_tensor_overload_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_log10_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_log10_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_log1p_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_log_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_log_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_log_softmax_with_dtype_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_logaddexp2_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_logaddexp_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_logdet_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_logical_and_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_logical_not_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_logical_or_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_logical_or_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_logical_xor_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_logit_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_logspace_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_logsumexp_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_long_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_lt_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_lu_solve_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_lu_unpack_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_lu_unpack_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mH_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mT_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_argmin_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_cumprod_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_cumprod_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_cumsum_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_cumsum_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_fill_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_log_softmax_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_logsumexp_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_logsumexp_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_mean_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_mean_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_normalize_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_prod_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_prod_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_select_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_select_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_softmin_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_std_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_var_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_matmul_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_matmul_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_matrix_exp_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_max_binary_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_max_pool2d_with_indices_backward_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_max_reduction_no_dim_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_max_reduction_with_dim_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mean_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mean_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_meshgrid_list_of_tensors_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_meshgrid_list_of_tensors_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_meshgrid_variadic_tensors_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mm_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_msort_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mul_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mul_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_multinomial_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mv_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mv_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mvlgamma_mvlgamma_p_1_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nanmean_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nansum_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_narrow_copy_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_narrow_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_narrow_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_native_batch_norm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_native_dropout_backward_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_native_layer_norm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_ne_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_new_empty_strided_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_new_empty_strided_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_new_full_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_new_ones_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nextafter_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_adaptive_avg_pool3d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_adaptive_max_pool1d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_adaptive_max_pool2d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_avg_pool2d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_avg_pool3d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_bilinear_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_binary_cross_entropy_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_binary_cross_entropy_with_logits_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_celu_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_channel_shuffle_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_channel_shuffle_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_conv1d_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_conv2d_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_conv2d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_conv3d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_conv_transpose1d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_conv_transpose2d_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_conv_transpose3d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_cosine_similarity_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_cross_entropy_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_dropout2d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_dropout_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_elu_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_embedding_bag_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_feature_alpha_dropout_without_train_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_glu_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_hardshrink_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_hardtanh_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_huber_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_instance_norm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_interpolate_bilinear_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_interpolate_nearest-exact_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_interpolate_nearest_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_interpolate_trilinear_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_kl_div_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_l1_loss_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_l1_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_layer_norm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_leaky_relu_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_linear_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_local_response_norm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_max_unpool1d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_max_unpool1d_grad_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_max_unpool2d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_mish_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_mse_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_multi_margin_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_multilabel_soft_margin_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_nll_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_normalize_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_normalize_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pad_circular_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pad_replicate_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pad_replicate_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pad_replicate_negative_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pad_replicate_negative_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pairwise_distance_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pairwise_distance_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pixel_shuffle_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_relu_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_rms_norm_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_rms_norm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_silu_complex_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_silu_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_smooth_l1_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_soft_margin_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_softmin_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_softmin_with_dtype_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_softplus_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_softsign_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_triplet_margin_loss_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_triplet_margin_with_distance_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_upsample_nearest_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nonzero_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nonzero_static_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_norm_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_norm_fro_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_normal_in_place_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_ones_like_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_ones_like_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_ormqr_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_outer_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_pca_lowrank_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_pca_lowrank_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_permute_copy_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_pinverse_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_pinverse_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_polar_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_polygamma_polygamma_n_2_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_polygamma_polygamma_n_3_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_pow_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_pow_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_qr_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_quantile_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_rand_like_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_randint_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_randint_like_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_randn_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_randn_like_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_ravel_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_real_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_reciprocal_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_reciprocal_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_remainder_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_repeat_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_repeat_interleave_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_repeat_interleave_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_reshape_as_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_reshape_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_resize__cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_resize__cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_resize_as__cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_resolve_conj_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_resolve_neg_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_roll_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_rot90_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_rot90_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_round_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_round_decimals_0_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_round_decimals_3_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_rsqrt_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_rsub_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_scalar_tensor_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_scalar_tensor_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_scatter_add_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_scatter_reduce_amin_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_searchsorted_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_select_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_select_scatter_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_sgn_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_sigmoid_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_sign_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_signal_windows_blackman_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_signal_windows_general_hamming_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_signal_windows_hamming_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_signal_windows_hann_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_signal_windows_nuttall_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_sin_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_sin_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_sinc_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_sinc_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_sinh_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_sinh_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_softmax_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_softmax_with_dtype_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_softmax_with_dtype_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_sort_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_sparse_sampled_addmm_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_airy_ai_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_bessel_j1_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_bessel_y0_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_bessel_y1_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_chebyshev_polynomial_w_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_erfcx_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_hermite_polynomial_he_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_i1e_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_laguerre_polynomial_l_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_legendre_polynomial_p_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_modified_bessel_i1_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_modified_bessel_k1_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_ndtr_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_ndtri_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_scaled_modified_bessel_k0_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_scaled_modified_bessel_k1_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_shifted_chebyshev_polynomial_w_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_xlog1py_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_split_list_args_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_split_with_sizes_copy_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_squeeze_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_squeeze_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_squeeze_multiple_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_std_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_std_mean_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_std_unbiased_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_sub_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_sub_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_sum_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_sum_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_sum_to_size_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_svd_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_svd_lowrank_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_t_copy_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_t_copy_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_t_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_t_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_take_along_dim_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_take_along_dim_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_take_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_tan_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_tanh_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_tensordot_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_tile_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_to_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_to_sparse_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_torch_ops_aten__safe_softmax_default_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_trace_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_transpose_copy_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_transpose_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_transpose_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_trapezoid_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_trapezoid_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_trapz_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_triangular_solve_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_triangular_solve_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_trunc_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unbind_copy_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unbind_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unbind_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unflatten_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unfold_copy_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unfold_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_uniform_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unique_consecutive_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unsafe_split_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unsafe_split_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unsqueeze_copy_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_var_mean_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_var_mean_unbiased_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_var_unbiased_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_var_unbiased_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_vdot_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_view_as_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_view_as_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_view_as_real_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_view_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_vsplit_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_vstack_cpu_complex128
2025-03-14T05:12:17.8320767Z 
2025-03-14T05:12:23.2910406Z Running export/test_schema 1/1 ... [2025-03-14 05:12:23.290488]
2025-03-14T05:12:23.2911197Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:12:23.2919882Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 05:12:23.291488]
2025-03-14T05:12:29.1177731Z 
2025-03-14T05:12:29.1183101Z export/test_schema 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_schema_1.1_2d0a638a3be506e0_.log
2025-03-14T05:12:29.1192001Z 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
2025-03-14T05:12:29.1198106Z 
2025-03-14T05:12:34.5461040Z Running export/test_export 1/1 ... [2025-03-14 05:12:34.545384]
2025-03-14T05:12:34.5467290Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:12:34.5478034Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_export.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'] ... [2025-03-14 05:12:34.547245]
2025-03-14T05:13:47.0339914Z 
2025-03-14T05:13:47.0341652Z export/test_export 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_export_1.1_b7878e74c79e97e9_.log
2025-03-14T05:13:47.0554627Z Running 342 items in this shard: test/export/test_export.py::TestDynamismExpression::test_export_assume_static_by_default, test/export/test_export.py::TestDynamismExpression::test_export_constraints_error, test/export/test_export.py::TestDynamismExpression::test_export_constraints_error_not_in_range, test/export/test_export.py::TestDynamismExpression::test_export_inline_constraints, test/export/test_export.py::TestDynamismExpression::test_export_slice_maxsize, test/export/test_export.py::TestDynamismExpression::test_export_slice_unbacked_dim1, test/export/test_export.py::TestDynamismExpression::test_export_strict_narrow_unbacked_expr, test/export/test_export.py::TestExport::test__scaled_dot_product_flash_attention, test/export/test_export.py::TestExport::test_allow_explicit_guards_as_runtime_asserts, test/export/test_export.py::TestExport::test_args_type_checked, test/export/test_export.py::TestExport::test_aten_lift_fresh_copy, test/export/test_export.py::TestExport::test_attention, test/export/test_export.py::TestExport::test_automatic_constrain_size, test/export/test_export.py::TestExport::test_automatic_dynamic_shapes_constant_relation, test/export/test_export.py::TestExport::test_automatic_dynamic_shapes_linear_relation, test/export/test_export.py::TestExport::test_automatic_dynamic_shapes_simple_equality, test/export/test_export.py::TestExport::test_basic, test/export/test_export.py::TestExport::test_basic_non_strict_fake_tensor, test/export/test_export.py::TestExport::test_basic_non_strict_real_tensor, test/export/test_export.py::TestExport::test_bincount, test/export/test_export.py::TestExport::test_buffer_util, test/export/test_export.py::TestExport::test_check_is_size_error, test/export/test_export.py::TestExport::test_check_specialized_int, test/export/test_export.py::TestExport::test_checks_to_constrain_range, test/export/test_export.py::TestExport::test_cleanup_dynamic_markers, test/export/test_export.py::TestExport::test_colin_unbacked_backed_vr_sub, test/export/test_export.py::TestExport::test_colon_parameter, test/export/test_export.py::TestExport::test_compiling_state, test/export/test_export.py::TestExport::test_cond_buffers, test/export/test_export.py::TestExport::test_cond_contains_unbacked_no_escape, test/export/test_export.py::TestExport::test_cond_int_closure, test/export/test_export.py::TestExport::test_cond_unflatten, test/export/test_export.py::TestExport::test_cond_with_module_stack_export_with, test/export/test_export.py::TestExport::test_cond_with_module_stack_export_with_unflatten, test/export/test_export.py::TestExport::test_constant_aliasing, test/export/test_export.py::TestExport::test_constant_input_naming, test/export/test_export.py::TestExport::test_constant_no_user_inp, test/export/test_export.py::TestExport::test_constant_output, test/export/test_export.py::TestExport::test_constant_output_dup, test/export/test_export.py::TestExport::test_constant_requires_grad_const, test/export/test_export.py::TestExport::test_constant_return, test/export/test_export.py::TestExport::test_constant_tensor_mutation, test/export/test_export.py::TestExport::test_constant_tensor_with_non_functional, test/export/test_export.py::TestExport::test_constant_tensor_with_non_functional_nested, test/export/test_export.py::TestExport::test_constrain_decomp, test/export/test_export.py::TestExport::test_constrain_size_in_eager, test/export/test_export.py::TestExport::test_constrain_size_with_constrain_value, test/export/test_export.py::TestExport::test_constrain_size_with_various_cases, test/export/test_export.py::TestExport::test_conv_dynamic, test/export/test_export.py::TestExport::test_crop_like, test/export/test_export.py::TestExport::test_cse_for_symint, test/export/test_export.py::TestExport::test_custom_op_auto_functionalize, test/export/test_export.py::TestExport::test_custom_op_auto_functionalize_pre_dispatch, test/export/test_export.py::TestExport::test_custom_op_auto_warn_pre_dispatch, test/export/test_export.py::TestExport::test_custom_op_preserve, test/export/test_export.py::TestExport::test_custom_tag_metadata_re_export, test/export/test_export.py::TestExport::test_decomp_batch_norm_functional_predispatch, test/export/test_export.py::TestExport::test_decomp_item_in_prim_after_decomposition, test/export/test_export.py::TestExport::test_decomp_item_in_prim_before_decomposition, test/export/test_export.py::TestExport::test_default_decomposition_core_cia_ops, test/export/test_export.py::TestExport::test_derived_dim_1_2, test/export/test_export.py::TestExport::test_derived_dim_basic, test/export/test_export.py::TestExport::test_derived_dim_integer, test/export/test_export.py::TestExport::test_derived_dim_nested, test/export/test_export.py::TestExport::test_derived_dim_out_of_order, test/export/test_export.py::TestExport::test_derived_dim_out_of_order_repeat_derived, test/export/test_export.py::TestExport::test_derived_dim_out_of_order_simplified, test/export/test_export.py::TestExport::test_derived_dim_out_of_order_simplified_repeat_non_derived, test/export/test_export.py::TestExport::test_derived_dim_repeat_derived, test/export/test_export.py::TestExport::test_device_to_dynamic, test/export/test_export.py::TestExport::test_device_to_mutation, test/export/test_export.py::TestExport::test_device_to_mutation_float, test/export/test_export.py::TestExport::test_device_to_static, test/export/test_export.py::TestExport::test_dim_1_2, test/export/test_export.py::TestExport::test_dim_auto_and_dim, test/export/test_export.py::TestExport::test_dim_dynamic, test/export/test_export.py::TestExport::test_dim_dynamic_divisibility, test/export/test_export.py::TestExport::test_disable_forced_specializations_errors, test/export/test_export.py::TestExport::test_disable_forced_specializations_ok, test/export/test_export.py::TestExport::test_distributed_all_gather, test/export/test_export.py::TestExport::test_distributed_all_gather_into_tensor, test/export/test_export.py::TestExport::test_distributed_all_reduce, test/export/test_export.py::TestExport::test_distributed_all_to_all_single, test/export/test_export.py::TestExport::test_distributed_reduce_scatter_tensor, test/export/test_export.py::TestExport::test_dont_duck_size_for_auto_dynamic, test/export/test_export.py::TestExport::test_double_lifted_constants, test/export/test_export.py::TestExport::test_draft_export_checks_aliasing, test/export/test_export.py::TestExport::test_draft_export_checks_mutation, test/export/test_export.py::TestExport::test_draft_export_checks_mutation_list, test/export/test_export.py::TestExport::test_draft_export_checks_mutation_with_nan, test/export/test_export.py::TestExport::test_draft_export_fake_kernel_inference_errors, test/export/test_export.py::TestExport::test_draft_export_infers_fake_kernel, test/export/test_export.py::TestExport::test_duplicate_modules_with_non_persistent_buffers, test/export/test_export.py::TestExport::test_dynamic_lr_shift, test/export/test_export.py::TestExport::test_dynamic_shapes_builder_basic, test/export/test_export.py::TestExport::test_dynamic_shapes_builder_kwargs, test/export/test_export.py::TestExport::test_dynamic_shapes_builder_pytree, test/export/test_export.py::TestExport::test_dynamic_shapes_dataclass, test/export/test_export.py::TestExport::test_dynamic_shapes_serdes_generic, test/export/test_export.py::TestExport::test_dynamic_shapes_serdes_user_errors, test/export/test_export.py::TestExport::test_dynamic_shapes_serdes_various, test/export/test_export.py::TestExport::test_dynamic_shapes_spec_with_pytree, test/export/test_export.py::TestExport::test_dynamic_sym_round, test/export/test_export.py::TestExport::test_ends_of_bounds_oblivious, test/export/test_export.py::TestExport::test_error_does_not_reference_eager_fallback, test/export/test_export.py::TestExport::test_error_when_passing_mutating_primitive_op, test/export/test_export.py::TestExport::test_export_api_with_dynamic_shapes, test/export/test_export.py::TestExport::test_export_as_backend, test/export/test_export.py::TestExport::test_export_associative_scan_lifted_buffers, test/export/test_export.py::TestExport::test_export_associative_scan_symbol_dim, test/export/test_export.py::TestExport::test_export_associative_scan_symbol_scandim, test/export/test_export.py::TestExport::test_export_cond_preserve_torch_fn_for_subgraphs, test/export/test_export.py::TestExport::test_export_cond_symbool_pred, test/export/test_export.py::TestExport::test_export_cond_warns_constant_pred, test/export/test_export.py::TestExport::test_export_custom_decomp_table_basic_pop, test/export/test_export.py::TestExport::test_export_custom_decomp_table_container_methods, test/export/test_export.py::TestExport::test_export_custom_op_lib, test/export/test_export.py::TestExport::test_export_custom_triton_kernel, test/export/test_export.py::TestExport::test_export_custom_triton_kernel_mutable, test/export/test_export.py::TestExport::test_export_decomp_torture_case_1, test/export/test_export.py::TestExport::test_export_decomp_torture_case_2, test/export/test_export.py::TestExport::test_export_decomps_dynamic, test/export/test_export.py::TestExport::test_export_decomps_simple, test/export/test_export.py::TestExport::test_export_dynamo_config, test/export/test_export.py::TestExport::test_export_for_inference_e2e, test/export/test_export.py::TestExport::test_export_for_training_run_decomp, test/export/test_export.py::TestExport::test_export_for_training_with_container_type, test/export/test_export.py::TestExport::test_export_for_training_with_dynamic_shapes, test/export/test_export.py::TestExport::test_export_for_training_with_mutation, test/export/test_export.py::TestExport::test_export_for_training_with_state_dict_hooks, test/export/test_export.py::TestExport::test_export_func_with_default_kwargs, test/export/test_export.py::TestExport::test_export_func_with_keyword_only_args, test/export/test_export.py::TestExport::test_export_func_with_kwargs, test/export/test_export.py::TestExport::test_export_func_with_pytree_kwargs, test/export/test_export.py::TestExport::test_export_func_with_var_keyword_args, test/export/test_export.py::TestExport::test_export_func_with_var_keyword_pytree_args, test/export/test_export.py::TestExport::test_export_func_with_var_postional_args, test/export/test_export.py::TestExport::test_export_graph_with_no_inputs, test/export/test_export.py::TestExport::test_export_input_mutation_bug, test/export/test_export.py::TestExport::test_export_input_mutation_dynamic_shape, test/export/test_export.py::TestExport::test_export_input_mutation_static_shape, test/export/test_export.py::TestExport::test_export_linear_preserve_dynamic_shape, test/export/test_export.py::TestExport::test_export_method, test/export/test_export.py::TestExport::test_export_mod_constraints, test/export/test_export.py::TestExport::test_export_preserve_linear_at_aot_level, test/export/test_export.py::TestExport::test_export_preserve_linear_but_not_custom_op, test/export/test_export.py::TestExport::test_export_script_module, test/export/test_export.py::TestExport::test_export_then_compile_tensor_ctor, test/export/test_export.py::TestExport::test_export_with_autocast, test/export/test_export.py::TestExport::test_export_with_fake_tensor_inputs, test/export/test_export.py::TestExport::test_export_with_fake_tensor_inputs_on_cuda_devices, test/export/test_export.py::TestExport::test_export_with_inline_constraints, test/export/test_export.py::TestExport::test_export_with_inline_constraints_complex, test/export/test_export.py::TestExport::test_export_with_set_grad_enabled, test/export/test_export.py::TestExport::test_export_with_wrong_inputs, test/export/test_export.py::TestExport::test_external_call_non_strict_real_tensor, test/export/test_export.py::TestExport::test_fake_inputs, test/export/test_export.py::TestExport::test_fake_weights, test/export/test_export.py::TestExport::test_float_conversion, test/export/test_export.py::TestExport::test_float_conversion_from_int, test/export/test_export.py::TestExport::test_fqn, test/export/test_export.py::TestExport::test_full_on_scalar_tensor, test/export/test_export.py::TestExport::test_hints_wrapper, test/export/test_export.py::TestExport::test_hoo_inline_users_issue, test/export/test_export.py::TestExport::test_if_functional, test/export/test_export.py::TestExport::test_if_post_autograd_op_preserved, test/export/test_export.py::TestExport::test_intermediate_shape_comp, test/export/test_export.py::TestExport::test_is_exporting, test/export/test_export.py::TestExport::test_is_nonzero, test/export/test_export.py::TestExport::test_issue_113041, test/export/test_export.py::TestExport::test_istft_op, test/export/test_export.py::TestExport::test_keep_composite_ops_invalid, test/export/test_export.py::TestExport::test_keep_composite_ops_linear_convd, test/export/test_export.py::TestExport::test_keep_composite_ops_linear_convd_for_training_ir, test/export/test_export.py::TestExport::test_kwargs_reorder, test/export/test_export.py::TestExport::test_layer_sharing, test/export/test_export.py::TestExport::test_lazy_module_kwargs, test/export/test_export.py::TestExport::test_lifted_constants, test/export/test_export.py::TestExport::test_linear_conv, test/export/test_export.py::TestExport::test_malformed_fqn_from_source_name, test/export/test_export.py::TestExport::test_map, test/export/test_export.py::TestExport::test_map_buffers, test/export/test_export.py::TestExport::test_mask_nonzero_static, test/export/test_export.py::TestExport::test_masked_select_dynamic, test/export/test_export.py::TestExport::test_mismatched_dynamic_shapes, test/export/test_export.py::TestExport::test_mixed_input, test/export/test_export.py::TestExport::test_module, test/export/test_export.py::TestExport::test_module_dict_key, test/export/test_export.py::TestExport::test_module_input, test/export/test_export.py::TestExport::test_module_input_subclasses_parameterization_nested, test/export/test_export.py::TestExport::test_module_list_slice, test/export/test_export.py::TestExport::test_module_with_dict_container_inp_out, test/export/test_export.py::TestExport::test_modules_access_for_deleted_submodule, test/export/test_export.py::TestExport::test_multiple_definitions_same_name_dim, test/export/test_export.py::TestExport::test_nested_dynamic_shapes_spec, test/export/test_export.py::TestExport::test_nested_module, test/export/test_export.py::TestExport::test_nested_module_with_constant_buffer, test/export/test_export.py::TestExport::test_nested_module_with_init_buffer, test/export/test_export.py::TestExport::test_nested_module_with_parameter, test/export/test_export.py::TestExport::test_nn_module_stack, test/export/test_export.py::TestExport::test_nn_module_stack_shared_submodule, test/export/test_export.py::TestExport::test_no_suggested_fixes_for_data_dependent_errors, test/export/test_export.py::TestExport::test_no_tensor_computation, test/export/test_export.py::TestExport::test_no_tensor_computation_2, test/export/test_export.py::TestExport::test_no_tensor_computation_3, test/export/test_export.py::TestExport::test_no_tensor_computation_4, test/export/test_export.py::TestExport::test_non_arg_name_dynamic_shapes_api, test/export/test_export.py::TestExport::test_non_arg_name_dynamic_shapes_api_with_container_type, test/export/test_export.py::TestExport::test_non_arg_name_dynamic_shapes_api_with_kwarg, test/export/test_export.py::TestExport::test_non_persistent_buffer, test/export/test_export.py::TestExport::test_non_strict_dynamic_shapes, test/export/test_export.py::TestExport::test_non_strict_dynamic_shapes_suggested_fixes, test/export/test_export.py::TestExport::test_nonstrict_retrace_preserves_metadata, test/export/test_export.py::TestExport::test_nonzero_2, test/export/test_export.py::TestExport::test_nonzero_dynamic, test/export/test_export.py::TestExport::test_not_registered_parameter, test/export/test_export.py::TestExport::test_output_node_name, test/export/test_export.py::TestExport::test_pad_sequence, test/export/test_export.py::TestExport::test_param_util, test/export/test_export.py::TestExport::test_placeholder_naming_collisions, test/export/test_export.py::TestExport::test_placeholder_naming_collisions_hoo_subgraphs, test/export/test_export.py::TestExport::test_placeholder_naming_order, test/export/test_export.py::TestExport::test_placeholder_naming_order_variadic, test/export/test_export.py::TestExport::test_placeholder_update_preserving, test/export/test_export.py::TestExport::test_predispatch_cond, test/export/test_export.py::TestExport::test_predispatch_grad_wrappers, test/export/test_export.py::TestExport::test_preserve_module_call_signature_unflatten_specialization, test/export/test_export.py::TestExport::test_preserve_requires_grad_placeholders, test/export/test_export.py::TestExport::test_preserve_shape_dynamism_for_unused_inputs, test/export/test_export.py::TestExport::test_profiling_code, test/export/test_export.py::TestExport::test_pytree_register_data_class, test/export/test_export.py::TestExport::test_pytree_register_nested_data_class, test/export/test_export.py::TestExport::test_raise_user_error_when_guard_on_data_dependent_operation, test/export/test_export.py::TestExport::test_real_tensor_alias_dtype_mismatch, test/export/test_export.py::TestExport::test_real_tensor_bool_cast, test/export/test_export.py::TestExport::test_real_tensor_errors_on_aliasing_custom_op, test/export/test_export.py::TestExport::test_real_tensor_for_max_op, test/export/test_export.py::TestExport::test_real_tensor_size_mismatch, test/export/test_export.py::TestExport::test_redundant_assert_max_upper_bound, test/export/test_export.py::TestExport::test_redundant_asserts, test/export/test_export.py::TestExport::test_refine_dynamic_shapes_from_suggested_fixes, test/export/test_export.py::TestExport::test_register_constant, test/export/test_export.py::TestExport::test_replace_unbacked_with_very_large_upperbound, test/export/test_export.py::TestExport::test_replaced_unbacked_bindings, test/export/test_export.py::TestExport::test_reshape_view_helper, test/export/test_export.py::TestExport::test_retracable_ep, test/export/test_export.py::TestExport::test_retrace_pre_autograd, test/export/test_export.py::TestExport::test_run_decomposition_supports_user_input_mutation, test/export/test_export.py::TestExport::test_runtime_assert_for_prim, test/export/test_export.py::TestExport::test_runtime_assert_for_prm_str, test/export/test_export.py::TestExport::test_runtime_assert_with_size, test/export/test_export.py::TestExport::test_sequential_slicing, test/export/test_export.py::TestExport::test_set_example_inputs, test/export/test_export.py::TestExport::test_set_grad_empty, test/export/test_export.py::TestExport::test_set_grad_unflatten, test/export/test_export.py::TestExport::test_setgrad_lifted_tensor, test/export/test_export.py::TestExport::test_shared_submodule_nn_module_stack, test/export/test_export.py::TestExport::test_simple_export_for_training, test/export/test_export.py::TestExport::test_slice_nn_module_stack, test/export/test_export.py::TestExport::test_solver_unsupported_sympy_function, test/export/test_export.py::TestExport::test_specialize_derived_dim_roots, test/export/test_export.py::TestExport::test_split_const_gm_with_lifted_constants, test/export/test_export.py::TestExport::test_stack_trace, test/export/test_export.py::TestExport::test_state_primitives, test/export/test_export.py::TestExport::test_state_shape_attribute_assignment, test/export/test_export.py::TestExport::test_state_tensors, test/export/test_export.py::TestExport::test_static_dim_constraints, test/export/test_export.py::TestExport::test_subclass_nested_attr_access, test/export/test_export.py::TestExport::test_subclass_nested_attr_access_complicated_metadata, test/export/test_export.py::TestExport::test_subclass_nested_attr_access_const_metadata, test/export/test_export.py::TestExport::test_subclass_nested_attr_access_const_metadata_not_top_level, test/export/test_export.py::TestExport::test_subclass_nested_attr_access_submodule, test/export/test_export.py::TestExport::test_subclasses_parameterization, test/export/test_export.py::TestExport::test_subclasses_parameterization_nested, test/export/test_export.py::TestExport::test_suggested_fixes_for_data_dependent_errors_basic, test/export/test_export.py::TestExport::test_suggested_fixes_for_data_dependent_errors_puzzlers, test/export/test_export.py::TestExport::test_suggested_fixes_new_roots, test/export/test_export.py::TestExport::test_sym_sqrt, test/export/test_export.py::TestExport::test_symbool_item, test/export/test_export.py::TestExport::test_symfloat_item, test/export/test_export.py::TestExport::test_symint_item, test/export/test_export.py::TestExport::test_symint_output, test/export/test_export.py::TestExport::test_symint_tensor_return, test/export/test_export.py::TestExport::test_tensor_attribute_zero_args, test/export/test_export.py::TestExport::test_tensor_constant_aten_to, test/export/test_export.py::TestExport::test_tensor_constant_with_wrapped_method, test/export/test_export.py::TestExport::test_to_module_with_mutated_buffer, test/export/test_export.py::TestExport::test_to_module_with_mutated_buffer_multiple, test/export/test_export.py::TestExport::test_to_module_with_mutated_buffer_multiple_update_sub_later, test/export/test_export.py::TestExport::test_tolist, test/export/test_export.py::TestExport::test_torch_check_eq_commutativity, test/export/test_export.py::TestExport::test_torch_fn, test/export/test_export.py::TestExport::test_trace_under_fake, test/export/test_export.py::TestExport::test_train_eval_on_exported_preautograd_module, test/export/test_export.py::TestExport::test_unbacked_bindings_for_divisible_u_symint, test/export/test_export.py::TestExport::test_unbacked_deferred_runtime_retrace, test/export/test_export.py::TestExport::test_unbacked_slice, test/export/test_export.py::TestExport::test_unbacked_to_cond, test/export/test_export.py::TestExport::test_unbacked_to_cond_passthrough, test/export/test_export.py::TestExport::test_unflatten_asserts, test/export/test_export.py::TestExport::test_unflatten_isinstance, test/export/test_export.py::TestExport::test_unflatten_multiple_graphs_dispatch, test/export/test_export.py::TestExport::test_unflatten_multiple_graphs_preserve_signature_no_error, test/export/test_export.py::TestExport::test_unflatten_multiple_graphs_shared_submodule, test/export/test_export.py::TestExport::test_unflatten_multiple_graphs_state, test/export/test_export.py::TestExport::test_unflatten_no_unroll, test/export/test_export.py::TestExport::test_unflatten_random_dag_5, test/export/test_export.py::TestExport::test_unflatten_random_dag_6, test/export/test_export.py::TestExport::test_unflatten_random_dag_buf_8, test/export/test_export.py::TestExport::test_unflatten_random_dag_const_preserving_3, test/export/test_export.py::TestExport::test_unflatten_random_dag_const_preserving_3_1, test/export/test_export.py::TestExport::test_unflatten_random_dag_mutating_buf_4, test/export/test_export.py::TestExport::test_unflatten_random_dag_mutating_buf_6, test/export/test_export.py::TestExport::test_unflatten_random_dag_mutating_buf_9, test/export/test_export.py::TestExport::test_unflatten_random_dag_mutating_buf_preserving_10, test/export/test_export.py::TestExport::test_unflatten_random_dag_mutating_buf_preserving_4, test/export/test_export.py::TestExport::test_unflatten_random_dag_mutating_buf_preserving_4_1, test/export/test_export.py::TestExport::test_unflatten_random_dag_mutating_buf_preserving_5, test/export/test_export.py::TestExport::test_unflatten_random_dag_mutating_buf_preserving_7, test/export/test_export.py::TestExport::test_unflatten_random_dag_preserving_4, test/export/test_export.py::TestExport::test_unused_aliases, test/export/test_export.py::TestExport::test_use_embedding_twice, test/export/test_export.py::TestExport::test_user_input_and_buffer_mutation, test/export/test_export.py::TestExport::test_while_loop_simple, test/export/test_export.py::TestOneOffModelExportResult::test_constant_fqn, test/export/test_export.py::TestOneOffModelExportResult::test_constant_name, test/export/test_export.py::TestOneOffModelExportResult::test_duplicated_getitem, test/export/test_export.py::TestOneOffModelExportResult::test_hf_logging_logger, test/export/test_export.py::TestOneOffModelExportResult::test_int_list_output, test/export/test_export.py::TestOneOffModelExportResult::test_logging_logger, test/export/test_export.py::TestOneOffModelExportResult::test_nested_retrace, test/export/test_export.py::TestOneOffModelExportResult::test_none_input_output, test/export/test_export.py::TestOneOffModelExportResult::test_primitive_constant_output, test/export/test_export.py::TestOneOffModelExportResult::test_print, test/export/test_export.py::TestOneOffModelExportResult::test_scaled_dot_product_attention_cpu, test/export/test_export.py::TestOneOffModelExportResult::test_scaled_dot_product_attention_cuda, test/export/test_export.py::TestOneOffModelExportResult::test_unbacked_sdpa, test/export/test_export.py::TestOneOffModelExportResult::test_warning, test/export/test_export.py::TestExportCustomClass::test_export_script_module, test/export/test_export.py::TestExportCustomClass::test_lift_custom_obj, test/export/test_export.py::TestExportCustomClass::test_preserve_cia_op, test/export/test_export.py::TestExportCustomClass::test_preserve_non_cia_op
2025-03-14T05:13:47.0761730Z 
2025-03-14T05:13:51.0449550Z Running test_fx_reinplace_pass 1/1 ... [2025-03-14 05:13:51.044407]
2025-03-14T05:13:51.0450394Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:13:51.0454768Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_fx_reinplace_pass.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'] ... [2025-03-14 05:13:51.044811]
2025-03-14T05:13:53.0759959Z 
2025-03-14T05:13:53.0760914Z test_binary_ufuncs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_binary_ufuncs_1.1_dbd9f586e39e3087_.log
2025-03-14T05:13:53.9883691Z Running 12862 items in this shard: test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___add___not_implemented_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___add___not_implemented_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___add___not_implemented_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___add___not_implemented_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___add___not_implemented_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___add___not_implemented_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___add___not_implemented_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___add___not_implemented_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___and___not_implemented_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___and___not_implemented_cpu_float32, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_bitwise_right_shift_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_bitwise_right_shift_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_bitwise_right_shift_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_bitwise_right_shift_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_bitwise_xor_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_bitwise_xor_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_bitwise_xor_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_bitwise_xor_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_bitwise_xor_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_bitwise_xor_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_clamp_max_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_clamp_max_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_clamp_max_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_clamp_max_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_clamp_max_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_clamp_max_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_clamp_max_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_clamp_max_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_clamp_max_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_clamp_max_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_clamp_min_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_clamp_min_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_clamp_min_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_clamp_min_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_clamp_min_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_clamp_min_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_clamp_min_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_clamp_min_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_clamp_min_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_clamp_min_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_complex_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_complex_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_complex_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_copysign_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_copysign_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_copysign_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_copysign_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_copysign_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_copysign_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_copysign_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_copysign_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_copysign_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_copysign_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_div_floor_rounding_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_div_floor_rounding_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_div_floor_rounding_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_div_floor_rounding_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_div_floor_rounding_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_div_floor_rounding_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_div_floor_rounding_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_div_floor_rounding_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_div_floor_rounding_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_div_no_rounding_mode_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_div_no_rounding_mode_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_div_no_rounding_mode_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_div_no_rounding_mode_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_div_no_rounding_mode_cpu_float16, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_div_trunc_rounding_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_div_trunc_rounding_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_div_trunc_rounding_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_div_trunc_rounding_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_div_trunc_rounding_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_div_trunc_rounding_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_div_trunc_rounding_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_eq_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_eq_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_eq_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_eq_cpu_complex32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_eq_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_eq_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_eq_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_eq_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_eq_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_eq_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_eq_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_eq_cpu_int8, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_float_power_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_float_power_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_float_power_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_floor_divide_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_floor_divide_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_floor_divide_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_floor_divide_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_floor_divide_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_floor_divide_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_floor_divide_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_floor_divide_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_floor_divide_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmax_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmax_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmax_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmax_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmax_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmax_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmax_cpu_int32, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmin_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmin_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmin_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmod_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmod_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmod_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmod_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmod_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmod_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmod_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmod_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmod_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_gcd_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_gcd_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_gcd_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_gcd_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_gcd_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ge_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ge_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ge_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ge_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ge_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ge_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ge_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ge_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ge_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ge_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_gt_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_gt_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_gt_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_gt_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_gt_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_gt_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_gt_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_gt_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_gt_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_gt_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_heaviside_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_heaviside_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_heaviside_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_heaviside_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_heaviside_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_heaviside_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_heaviside_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_heaviside_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_heaviside_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_heaviside_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_hypot_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_hypot_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_hypot_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_hypot_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_igamma_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_igamma_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_igamma_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_igamma_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_igammac_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_igammac_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_igammac_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_igammac_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_isclose_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_isclose_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_isclose_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_isclose_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_isclose_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_isclose_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_isclose_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_isclose_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_isclose_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_isclose_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_isclose_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_isclose_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_lcm_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_lcm_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_lcm_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_lcm_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_lcm_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ldexp_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ldexp_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ldexp_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ldexp_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ldexp_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ldexp_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ldexp_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ldexp_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ldexp_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ldexp_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ldexp_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ldexp_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_le_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_le_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_le_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_le_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_le_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_le_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_le_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_le_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_le_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_le_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logaddexp_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logaddexp_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logaddexp_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logaddexp_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logaddexp_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logaddexp_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logical_and_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logical_and_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logical_and_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logical_and_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logical_and_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logical_and_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logical_and_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logical_and_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logical_and_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logical_and_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logical_and_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logical_and_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logical_or_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logical_or_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logical_or_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logical_or_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logical_or_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logical_or_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logical_or_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logical_or_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logical_or_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logical_or_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logical_or_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logical_or_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logical_xor_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logical_xor_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logical_xor_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logical_xor_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logical_xor_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logical_xor_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logical_xor_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logical_xor_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logical_xor_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logical_xor_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logical_xor_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logical_xor_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_lt_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_lt_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_lt_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_lt_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_lt_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_lt_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_lt_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_lt_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_lt_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_lt_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_max_binary_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_max_binary_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_max_binary_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_max_binary_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_max_binary_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_max_binary_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_max_binary_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_max_binary_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_max_binary_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_max_binary_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_maximum_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_maximum_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_maximum_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_maximum_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_maximum_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_maximum_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_maximum_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_maximum_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_maximum_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_maximum_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_min_binary_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_min_binary_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_min_binary_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_min_binary_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_min_binary_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_min_binary_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_min_binary_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_min_binary_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_min_binary_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_min_binary_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_minimum_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_minimum_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_minimum_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_minimum_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_minimum_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_minimum_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_minimum_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_minimum_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_minimum_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_minimum_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_mul_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_mul_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_mul_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_mul_cpu_complex32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_mul_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_mul_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_mul_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_mul_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_mul_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_mul_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_mul_cpu_int64, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ne_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ne_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ne_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ne_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_nextafter_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_nextafter_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_nextafter_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_nextafter_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_polar_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_polar_cpu_float64, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed__refs_igammac_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed__refs_igammac_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed__refs_igammac_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed__refs_isclose_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed__refs_isclose_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed__refs_isclose_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed__refs_isclose_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed__refs_isclose_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed__refs_isclose_cpu_float32, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed__refs_xlogy_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed__refs_xlogy_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed__refs_xlogy_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed__refs_xlogy_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed__refs_xlogy_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed__refs_xlogy_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed__refs_xlogy_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_add_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_add_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_add_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_add_cpu_complex32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_add_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_add_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_add_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_add_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_add_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_add_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_add_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_add_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_add_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_atan2_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_atan2_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_atan2_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_atan2_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_atan2_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_atan2_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_atan2_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_atan2_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_atan2_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_atan2_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_bitwise_and_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_bitwise_and_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_bitwise_and_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_bitwise_and_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_bitwise_and_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_bitwise_and_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_bitwise_left_shift_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_bitwise_left_shift_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_bitwise_left_shift_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_bitwise_left_shift_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_bitwise_left_shift_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_bitwise_or_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_bitwise_or_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_bitwise_or_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_bitwise_or_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_bitwise_or_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_bitwise_or_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_bitwise_right_shift_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_bitwise_right_shift_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_bitwise_right_shift_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_bitwise_right_shift_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_bitwise_right_shift_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_bitwise_xor_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_bitwise_xor_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_bitwise_xor_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_bitwise_xor_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_bitwise_xor_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_bitwise_xor_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_clamp_max_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_clamp_max_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_clamp_max_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_clamp_max_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_clamp_max_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_clamp_max_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_clamp_max_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_clamp_max_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_clamp_max_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_clamp_max_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_clamp_min_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_clamp_min_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_clamp_min_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_clamp_min_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_clamp_min_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_clamp_min_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_clamp_min_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_clamp_min_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_clamp_min_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_clamp_min_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_complex_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_complex_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_complex_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_copysign_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_copysign_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_copysign_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_copysign_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_copysign_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_copysign_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_copysign_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_copysign_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_copysign_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_copysign_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_floor_rounding_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_floor_rounding_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_floor_rounding_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_floor_rounding_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_floor_rounding_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_floor_rounding_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_floor_rounding_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_floor_rounding_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_floor_rounding_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_no_rounding_mode_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_no_rounding_mode_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_no_rounding_mode_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_no_rounding_mode_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_no_rounding_mode_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_no_rounding_mode_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_no_rounding_mode_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_no_rounding_mode_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_no_rounding_mode_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_no_rounding_mode_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_no_rounding_mode_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_no_rounding_mode_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_trunc_rounding_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_trunc_rounding_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_trunc_rounding_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_trunc_rounding_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_trunc_rounding_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_trunc_rounding_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_trunc_rounding_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_trunc_rounding_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_trunc_rounding_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_eq_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_eq_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_eq_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_eq_cpu_complex32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_eq_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_eq_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_eq_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_eq_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_eq_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_eq_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_eq_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_eq_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_eq_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_float_power_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_float_power_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_float_power_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_float_power_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_float_power_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_float_power_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_float_power_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_float_power_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_float_power_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_float_power_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_float_power_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_float_power_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_floor_divide_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_floor_divide_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_floor_divide_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_floor_divide_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_floor_divide_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_floor_divide_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_floor_divide_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_floor_divide_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_floor_divide_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmax_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmax_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmax_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmax_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmax_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmax_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmax_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmax_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmax_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmax_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmin_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmin_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmin_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmin_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmin_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmin_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmin_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmin_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmin_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmin_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmod_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmod_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmod_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmod_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmod_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmod_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmod_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmod_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmod_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gcd_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gcd_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gcd_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gcd_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gcd_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ge_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ge_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ge_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ge_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ge_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ge_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ge_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ge_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ge_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ge_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gt_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gt_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gt_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gt_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gt_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gt_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gt_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gt_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gt_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gt_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_heaviside_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_heaviside_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_heaviside_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_heaviside_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_heaviside_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_heaviside_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_heaviside_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_heaviside_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_heaviside_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_heaviside_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_hypot_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_hypot_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_hypot_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_hypot_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_igamma_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_igamma_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_igamma_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_igamma_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_igammac_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_igammac_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_igammac_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_igammac_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_isclose_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_isclose_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_isclose_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_isclose_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_isclose_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_isclose_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_isclose_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_isclose_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_isclose_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_isclose_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_isclose_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_isclose_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lcm_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lcm_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lcm_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lcm_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lcm_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ldexp_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ldexp_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ldexp_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ldexp_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ldexp_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ldexp_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ldexp_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ldexp_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ldexp_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ldexp_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ldexp_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ldexp_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_le_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_le_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_le_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_le_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_le_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_le_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_le_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_le_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_le_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_le_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logaddexp_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logaddexp_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logaddexp_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logaddexp_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logaddexp_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logaddexp_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_and_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_and_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_and_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_and_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_and_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_and_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_and_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_and_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_and_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_and_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_and_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_and_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_or_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_or_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_or_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_or_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_or_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_or_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_or_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_or_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_or_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_or_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_or_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_or_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_xor_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_xor_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_xor_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_xor_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_xor_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_xor_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_xor_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_xor_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_xor_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_xor_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_xor_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_xor_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lt_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lt_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lt_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lt_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lt_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lt_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lt_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lt_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lt_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lt_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_max_binary_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_max_binary_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_max_binary_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_max_binary_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_max_binary_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_max_binary_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_max_binary_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_max_binary_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_max_binary_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_max_binary_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_maximum_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_maximum_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_maximum_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_maximum_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_maximum_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_maximum_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_maximum_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_maximum_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_maximum_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_maximum_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_min_binary_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_min_binary_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_min_binary_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_min_binary_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_min_binary_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_min_binary_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_min_binary_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_min_binary_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_min_binary_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_min_binary_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_minimum_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_minimum_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_minimum_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_minimum_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_minimum_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_minimum_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_minimum_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_minimum_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_minimum_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_minimum_cpu_uint8, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_special_zeta_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_special_zeta_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_special_zeta_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_special_zeta_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_special_zeta_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_sub_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_sub_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_sub_cpu_complex32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_sub_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_sub_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_sub_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_sub_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_sub_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_sub_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_sub_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_sub_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_sub_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_true_divide_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_true_divide_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_true_divide_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_true_divide_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_true_divide_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_true_divide_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_true_divide_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_true_divide_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_true_divide_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_true_divide_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_true_divide_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_true_divide_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_xlogy_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_xlogy_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_xlogy_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_xlogy_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_xlogy_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_xlogy_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_xlogy_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_xlogy_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_xlogy_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_xlogy_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_bfloat16_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_bfloat16_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_bfloat16_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_bfloat16_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_bfloat16_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_bfloat16_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_bfloat16_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_bfloat16_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_bfloat16_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_bfloat16_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_bool_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_bool_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_bool_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_bool_float32, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_float16_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_float16_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_float16_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_float16_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_float32_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_float32_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_float32_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_float32_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_float32_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_float32_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_float32_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_float32_int64, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int64_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int64_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int64_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int64_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int64_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int64_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int8_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int8_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int8_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int8_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int8_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int8_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int8_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int8_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int8_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int8_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_uint8_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_uint8_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_uint8_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_uint8_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_uint8_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_uint8_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_uint8_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_uint8_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_uint8_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_uint8_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_bfloat16_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_bfloat16_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_bfloat16_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_bfloat16_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_float16_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_float16_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_float16_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_float16_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_float32_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_float32_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_float32_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_float32_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_float64_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_float64_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_float64_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_float64_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_cpow_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_cpu_tensor_pow_cuda_scalar_tensor_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_cremainder_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_cross_device_binary_ops_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_cross_device_inplace_error_msg_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_csub_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_cuda_tensor_pow_scalar_tensor_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_cumulative_trapezoid_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_and_floordiv_script_vs_python_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_and_floordiv_vs_python_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_modes_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_modes_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_modes_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_modes_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_modes_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_modes_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_modes_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_modes_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_modes_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_nonfinite_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_nonfinite_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_nonfinite_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_nonfinite_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_numpy_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_numpy_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_numpy_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_numpy_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_numpy_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_numpy_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_numpy_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_numpy_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_divide_by_zero_rounding_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_divide_by_zero_rounding_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_divide_by_zero_rounding_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_divide_by_zero_rounding_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_divmul_scalar_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_bfloat16_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_bfloat16_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_bfloat16_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_bfloat16_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_bfloat16_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_bfloat16_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_bfloat16_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_bfloat16_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_bfloat16_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_bfloat16_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_bfloat16_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex128_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex128_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex128_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex128_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex128_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex128_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex128_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex128_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex128_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex128_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex128_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex64_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex64_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex64_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex64_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex64_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex64_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex64_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex64_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex64_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex64_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex64_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float16_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float16_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float16_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float16_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float16_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float16_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float16_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float16_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float16_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float16_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float16_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float32_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float32_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float32_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float32_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float32_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float32_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float32_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float32_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float32_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float32_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float32_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float64_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float64_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float64_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float64_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float64_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float64_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float64_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float64_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float64_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float64_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float64_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int16_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int16_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int16_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int16_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int16_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int16_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int16_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int16_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int16_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int16_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int16_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int32_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int32_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int32_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int32_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int32_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int32_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int32_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int32_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int32_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int32_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int32_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int64_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int64_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int64_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int64_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int64_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int64_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int64_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int64_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int64_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int64_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int64_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int8_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int8_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int8_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int8_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int8_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int8_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int8_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int8_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int8_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int8_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int8_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_uint8_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_uint8_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_uint8_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_uint8_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_uint8_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_uint8_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_uint8_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_uint8_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_uint8_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_uint8_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_uint8_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_exceptions_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_scalar_pow_float_tensor_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_scalar_pow_float_tensor_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_div_extremal_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_div_extremal_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_div_extremal_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_div_extremal_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_scalar_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_scalar_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_scalar_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_scalar_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_scalar_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_scalar_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_scalar_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_tensor_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_tensor_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_tensor_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_tensor_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_tensor_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_tensor_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_tensor_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_zero_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_zero_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_zero_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_zero_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_zero_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_by_zero_float_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_by_zero_float_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_by_zero_float_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_by_zero_integral_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_by_zero_integral_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_by_zero_integral_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_by_zero_integral_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_by_zero_integral_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_gcd_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_gcd_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_gcd_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_gcd_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_gcd_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_complex_cpu_complex128_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_complex_cpu_complex128_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_complex_cpu_complex64_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_complex_cpu_complex64_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bfloat16_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bfloat16_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bfloat16_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bfloat16_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bfloat16_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bfloat16_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bfloat16_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bfloat16_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bfloat16_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bfloat16_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bool_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bool_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bool_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bool_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bool_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bool_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bool_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bool_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bool_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bool_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float16_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float16_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float16_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float16_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float16_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float16_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float16_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float16_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float16_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float16_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float32_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float32_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float32_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float32_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float32_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float32_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float32_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float32_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float32_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float32_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float64_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float64_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float64_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float64_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float64_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float64_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float64_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float64_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float64_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float64_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int16_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int16_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int16_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int16_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int16_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int16_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int16_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int16_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int16_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int16_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int32_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int32_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int32_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int32_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int32_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int32_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int32_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int32_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int32_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int32_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int64_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int64_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int64_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int64_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int64_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int64_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int64_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int64_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int64_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int64_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int8_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int8_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int8_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int8_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int8_float64, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logical_xor_cpu_int64_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logical_xor_cpu_int64_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logical_xor_cpu_int64_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logical_xor_cpu_int64_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logical_xor_cpu_int64_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logical_xor_cpu_int64_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logical_xor_cpu_int64_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logical_xor_cpu_int64_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logical_xor_cpu_int64_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logical_xor_cpu_int64_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logical_xor_cpu_int8_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logical_xor_cpu_int8_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logical_xor_cpu_int8_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logical_xor_cpu_int8_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logical_xor_cpu_int8_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logical_xor_cpu_int8_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logical_xor_cpu_int8_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logical_xor_cpu_int8_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logical_xor_cpu_int8_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logical_xor_cpu_int8_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logical_xor_cpu_int8_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logical_xor_cpu_int8_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logical_xor_cpu_uint8_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logical_xor_cpu_uint8_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logical_xor_cpu_uint8_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logical_xor_cpu_uint8_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logical_xor_cpu_uint8_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logical_xor_cpu_uint8_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logical_xor_cpu_uint8_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logical_xor_cpu_uint8_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logical_xor_cpu_uint8_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logical_xor_cpu_uint8_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logical_xor_cpu_uint8_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logical_xor_cpu_uint8_uint8, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_float_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_float_nan_and_inf_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_float_nan_and_inf_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_float_nan_and_inf_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_float_nan_and_inf_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_forward_ad_float32_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_int_and_bool_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_int_and_bool_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_int_and_bool_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_int_and_bool_cpu_int64, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_scalar_support__refs_bitwise_and_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_scalar_support__refs_bitwise_or_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_scalar_support__refs_bitwise_xor_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_scalar_support__refs_clamp_max_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_scalar_support__refs_clamp_max_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_scalar_support__refs_clamp_min_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_scalar_support__refs_clamp_min_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_scalar_support__refs_eq_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_scalar_support__refs_eq_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_scalar_support__refs_eq_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_scalar_support__refs_float_power_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_scalar_support__refs_float_power_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_scalar_support__refs_float_power_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_scalar_support__refs_floor_divide_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_scalar_support__refs_floor_divide_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_scalar_support__refs_fmod_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_scalar_support__refs_fmod_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_scalar_support__refs_gcd_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_scalar_support__refs_ge_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_scalar_support__refs_ge_cpu_int64, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_scalar_support__refs_lt_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_scalar_support__refs_maximum_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_scalar_support__refs_maximum_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_scalar_support__refs_minimum_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_scalar_support__refs_minimum_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_scalar_support__refs_ne_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_scalar_support__refs_ne_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_scalar_support__refs_ne_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_scalar_support__refs_pow_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_scalar_support__refs_pow_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_scalar_support__refs_pow_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_scalar_support__refs_remainder_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_scalar_support__refs_remainder_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_scalar_support__refs_sub_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_scalar_support__refs_sub_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_scalar_support__refs_sub_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_scalar_support_add_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_scalar_support_add_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_scalar_support_add_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_scalar_support_bitwise_and_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_scalar_support_bitwise_or_cpu_int64, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_shift_limits_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_shift_limits_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_shift_limits_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_shift_limits_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_shift_limits_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_signed_shift_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_signed_shift_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_signed_shift_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_signed_shift_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_sub_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_sub_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_sub_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_sub_cpu_complex64, 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2025-03-14T05:13:54.6125731Z 
2025-03-14T05:13:55.8672539Z 
2025-03-14T05:13:55.8673994Z test_fx_reinplace_pass 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_reinplace_pass_1.1_cc35f0cdcf26c6d5_.log
2025-03-14T05:13:55.8683887Z Running 12 items in this shard: test/test_fx_reinplace_pass.py::TestReinplacePass::test_out_node_updated, test/test_fx_reinplace_pass.py::TestReinplacePass::test_reinplace_basic, test/test_fx_reinplace_pass.py::TestReinplacePass::test_reinplace_different_metadata, test/test_fx_reinplace_pass.py::TestReinplacePass::test_reinplace_index_mutation, test/test_fx_reinplace_pass.py::TestReinplacePass::test_reinplace_overlapping_memory, test/test_fx_reinplace_pass.py::TestReinplacePass::test_reinplace_scatter_op, test/test_fx_reinplace_pass.py::TestReinplacePass::test_reinplace_scatter_twice, test/test_fx_reinplace_pass.py::TestReinplacePass::test_reinplace_scatter_twice_with_different_view_op_invalid, test/test_fx_reinplace_pass.py::TestReinplacePass::test_reinplace_scatter_twice_with_different_view_op_invalid2, test/test_fx_reinplace_pass.py::TestReinplacePass::test_reinplace_scatter_twice_with_different_view_op_valid, test/test_fx_reinplace_pass.py::TestReinplacePass::test_reinplace_sym_input, test/test_fx_reinplace_pass.py::TestReinplacePass::test_reinplace_with_view
2025-03-14T05:13:55.8693085Z 
2025-03-14T05:13:57.5687665Z Running dynamo/test_hooks 1/1 ... [2025-03-14 05:13:57.568356]
2025-03-14T05:13:57.5688308Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:13:57.5690239Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_hooks.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'] ... [2025-03-14 05:13:57.568733]
2025-03-14T05:13:59.4947611Z Running distributions/test_constraints 1/1 ... [2025-03-14 05:13:59.494346]
2025-03-14T05:13:59.4948318Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:13:59.4950103Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'distributions/test_constraints.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'] ... [2025-03-14 05:13:59.494690]
2025-03-14T05:14:01.1313546Z 
2025-03-14T05:14:01.1314710Z dynamo/test_hooks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_hooks_1.1_c4f5cc2f691d64c7_.log
2025-03-14T05:14:01.1315629Z 
2025-03-14T05:14:03.4164862Z 
2025-03-14T05:14:03.4166638Z distributions/test_constraints 1/1 was successful, full logs can be found in artifacts with path test/test-reports/distributions.test_constraints_1.1_46aa4a7eb200caa9_.log
2025-03-14T05:14:03.4276910Z Running 136 items in this shard: test/distributions/test_constraints.py::test_constraint[False-constraint_fn0-False-value0], test/distributions/test_constraints.py::test_constraint[False-constraint_fn1-False-value1], test/distributions/test_constraints.py::test_constraint[False-constraint_fn2-False-value2], test/distributions/test_constraints.py::test_constraint[False-constraint_fn3-True-value3], test/distributions/test_constraints.py::test_constraint[False-constraint_fn4-False-value4], test/distributions/test_constraints.py::test_constraint[False-constraint_fn5-False-value5], test/distributions/test_constraints.py::test_constraint[False-constraint_fn6-True-value6], test/distributions/test_constraints.py::test_constraint[False-constraint_fn7-True-value7], test/distributions/test_constraints.py::test_constraint[False-constraint_fn8-False-value8], test/distributions/test_constraints.py::test_constraint[False-constraint_fn9-True-value9], test/distributions/test_constraints.py::test_constraint[False-constraint_fn10-False-value10], test/distributions/test_constraints.py::test_constraint[False-constraint_fn11-False-value11], test/distributions/test_constraints.py::test_constraint[False-constraint_fn12-True-value12], test/distributions/test_constraints.py::test_constraint[False-constraint_fn13-True-value13], test/distributions/test_constraints.py::test_constraint[False-constraint_fn14-False-value14], test/distributions/test_constraints.py::test_constraint[False-constraint_fn15-True-value15], test/distributions/test_constraints.py::test_constraint[False-constraint_fn16-True-value16], test/distributions/test_constraints.py::test_constraint[False-constraint_fn17-True-value17], test/distributions/test_constraints.py::test_constraint[True-constraint_fn0-False-value0], test/distributions/test_constraints.py::test_constraint[True-constraint_fn1-False-value1], test/distributions/test_constraints.py::test_constraint[True-constraint_fn2-False-value2], test/distributions/test_constraints.py::test_constraint[True-constraint_fn3-True-value3], test/distributions/test_constraints.py::test_constraint[True-constraint_fn4-False-value4], test/distributions/test_constraints.py::test_constraint[True-constraint_fn5-False-value5], test/distributions/test_constraints.py::test_constraint[True-constraint_fn6-True-value6], test/distributions/test_constraints.py::test_constraint[True-constraint_fn7-True-value7], test/distributions/test_constraints.py::test_constraint[True-constraint_fn8-False-value8], test/distributions/test_constraints.py::test_constraint[True-constraint_fn9-True-value9], test/distributions/test_constraints.py::test_constraint[True-constraint_fn10-False-value10], test/distributions/test_constraints.py::test_constraint[True-constraint_fn11-False-value11], test/distributions/test_constraints.py::test_constraint[True-constraint_fn12-True-value12], test/distributions/test_constraints.py::test_constraint[True-constraint_fn13-True-value13], test/distributions/test_constraints.py::test_constraint[True-constraint_fn14-False-value14], test/distributions/test_constraints.py::test_constraint[True-constraint_fn15-True-value15], test/distributions/test_constraints.py::test_constraint[True-constraint_fn16-True-value16], test/distributions/test_constraints.py::test_constraint[True-constraint_fn17-True-value17], test/distributions/test_constraints.py::test_biject_to[False-constraint_fn0-args0], test/distributions/test_constraints.py::test_biject_to[False-constraint_fn1-args1], test/distributions/test_constraints.py::test_biject_to[False-constraint_fn2-args2], test/distributions/test_constraints.py::test_biject_to[False-_GreaterThan-args3], test/distributions/test_constraints.py::test_biject_to[False-_GreaterThan-args4], test/distributions/test_constraints.py::test_biject_to[False-_GreaterThan-args5], test/distributions/test_constraints.py::test_biject_to[False-_GreaterThan-args6], test/distributions/test_constraints.py::test_biject_to[False-_GreaterThanEq-args7], test/distributions/test_constraints.py::test_biject_to[False-_GreaterThanEq-args8], test/distributions/test_constraints.py::test_biject_to[False-_GreaterThanEq-args9], test/distributions/test_constraints.py::test_biject_to[False-_LessThan-args10], test/distributions/test_constraints.py::test_biject_to[False-_LessThan-args11], test/distributions/test_constraints.py::test_biject_to[False-_LessThan-args12], test/distributions/test_constraints.py::test_biject_to[False-_LessThan-args13], test/distributions/test_constraints.py::test_biject_to[False-constraint_fn14-args14], test/distributions/test_constraints.py::test_biject_to[False-_Interval-args15], test/distributions/test_constraints.py::test_biject_to[False-_Interval-args16], test/distributions/test_constraints.py::test_biject_to[False-_Interval-args17], test/distributions/test_constraints.py::test_biject_to[False-_HalfOpenInterval-args18], test/distributions/test_constraints.py::test_biject_to[False-_HalfOpenInterval-args19], test/distributions/test_constraints.py::test_biject_to[False-_HalfOpenInterval-args20], test/distributions/test_constraints.py::test_biject_to[False-constraint_fn21-args21], test/distributions/test_constraints.py::test_biject_to[False-constraint_fn22-args22], test/distributions/test_constraints.py::test_biject_to[False-constraint_fn23-args23], test/distributions/test_constraints.py::test_biject_to[False-constraint_fn24-args24], test/distributions/test_constraints.py::test_biject_to[True-constraint_fn0-args0], test/distributions/test_constraints.py::test_biject_to[True-constraint_fn1-args1], test/distributions/test_constraints.py::test_biject_to[True-constraint_fn2-args2], test/distributions/test_constraints.py::test_biject_to[True-_GreaterThan-args3], test/distributions/test_constraints.py::test_biject_to[True-_GreaterThan-args4], test/distributions/test_constraints.py::test_biject_to[True-_GreaterThan-args5], test/distributions/test_constraints.py::test_biject_to[True-_GreaterThan-args6], test/distributions/test_constraints.py::test_biject_to[True-_GreaterThanEq-args7], test/distributions/test_constraints.py::test_biject_to[True-_GreaterThanEq-args8], test/distributions/test_constraints.py::test_biject_to[True-_GreaterThanEq-args9], test/distributions/test_constraints.py::test_biject_to[True-_LessThan-args10], test/distributions/test_constraints.py::test_biject_to[True-_LessThan-args11], test/distributions/test_constraints.py::test_biject_to[True-_LessThan-args12], test/distributions/test_constraints.py::test_biject_to[True-_LessThan-args13], test/distributions/test_constraints.py::test_biject_to[True-constraint_fn14-args14], test/distributions/test_constraints.py::test_biject_to[True-_Interval-args15], test/distributions/test_constraints.py::test_biject_to[True-_Interval-args16], test/distributions/test_constraints.py::test_biject_to[True-_Interval-args17], test/distributions/test_constraints.py::test_biject_to[True-_HalfOpenInterval-args18], test/distributions/test_constraints.py::test_biject_to[True-_HalfOpenInterval-args19], test/distributions/test_constraints.py::test_biject_to[True-_HalfOpenInterval-args20], test/distributions/test_constraints.py::test_biject_to[True-constraint_fn21-args21], test/distributions/test_constraints.py::test_biject_to[True-constraint_fn22-args22], test/distributions/test_constraints.py::test_biject_to[True-constraint_fn23-args23], test/distributions/test_constraints.py::test_biject_to[True-constraint_fn24-args24], test/distributions/test_constraints.py::test_transform_to[False-constraint_fn0-args0], test/distributions/test_constraints.py::test_transform_to[False-constraint_fn1-args1], test/distributions/test_constraints.py::test_transform_to[False-constraint_fn2-args2], test/distributions/test_constraints.py::test_transform_to[False-_GreaterThan-args3], test/distributions/test_constraints.py::test_transform_to[False-_GreaterThan-args4], test/distributions/test_constraints.py::test_transform_to[False-_GreaterThan-args5], test/distributions/test_constraints.py::test_transform_to[False-_GreaterThan-args6], test/distributions/test_constraints.py::test_transform_to[False-_GreaterThanEq-args7], test/distributions/test_constraints.py::test_transform_to[False-_GreaterThanEq-args8], test/distributions/test_constraints.py::test_transform_to[False-_GreaterThanEq-args9], test/distributions/test_constraints.py::test_transform_to[False-_LessThan-args10], test/distributions/test_constraints.py::test_transform_to[False-_LessThan-args11], test/distributions/test_constraints.py::test_transform_to[False-_LessThan-args12], test/distributions/test_constraints.py::test_transform_to[False-_LessThan-args13], test/distributions/test_constraints.py::test_transform_to[False-constraint_fn14-args14], test/distributions/test_constraints.py::test_transform_to[False-_Interval-args15], test/distributions/test_constraints.py::test_transform_to[False-_Interval-args16], test/distributions/test_constraints.py::test_transform_to[False-_Interval-args17], test/distributions/test_constraints.py::test_transform_to[False-_HalfOpenInterval-args18], test/distributions/test_constraints.py::test_transform_to[False-_HalfOpenInterval-args19], test/distributions/test_constraints.py::test_transform_to[False-_HalfOpenInterval-args20], test/distributions/test_constraints.py::test_transform_to[False-constraint_fn21-args21], test/distributions/test_constraints.py::test_transform_to[False-constraint_fn22-args22], test/distributions/test_constraints.py::test_transform_to[False-constraint_fn23-args23], test/distributions/test_constraints.py::test_transform_to[False-constraint_fn24-args24], test/distributions/test_constraints.py::test_transform_to[True-constraint_fn0-args0], test/distributions/test_constraints.py::test_transform_to[True-constraint_fn1-args1], test/distributions/test_constraints.py::test_transform_to[True-constraint_fn2-args2], test/distributions/test_constraints.py::test_transform_to[True-_GreaterThan-args3], test/distributions/test_constraints.py::test_transform_to[True-_GreaterThan-args4], test/distributions/test_constraints.py::test_transform_to[True-_GreaterThan-args5], test/distributions/test_constraints.py::test_transform_to[True-_GreaterThan-args6], test/distributions/test_constraints.py::test_transform_to[True-_GreaterThanEq-args7], test/distributions/test_constraints.py::test_transform_to[True-_GreaterThanEq-args8], test/distributions/test_constraints.py::test_transform_to[True-_GreaterThanEq-args9], test/distributions/test_constraints.py::test_transform_to[True-_LessThan-args10], test/distributions/test_constraints.py::test_transform_to[True-_LessThan-args11], test/distributions/test_constraints.py::test_transform_to[True-_LessThan-args12], test/distributions/test_constraints.py::test_transform_to[True-_LessThan-args13], test/distributions/test_constraints.py::test_transform_to[True-constraint_fn14-args14], test/distributions/test_constraints.py::test_transform_to[True-_Interval-args15], test/distributions/test_constraints.py::test_transform_to[True-_Interval-args16], test/distributions/test_constraints.py::test_transform_to[True-_Interval-args17], test/distributions/test_constraints.py::test_transform_to[True-_HalfOpenInterval-args18], test/distributions/test_constraints.py::test_transform_to[True-_HalfOpenInterval-args19], test/distributions/test_constraints.py::test_transform_to[True-_HalfOpenInterval-args20], test/distributions/test_constraints.py::test_transform_to[True-constraint_fn21-args21], test/distributions/test_constraints.py::test_transform_to[True-constraint_fn22-args22], test/distributions/test_constraints.py::test_transform_to[True-constraint_fn23-args23], test/distributions/test_constraints.py::test_transform_to[True-constraint_fn24-args24]
2025-03-14T05:14:03.4392349Z 
2025-03-14T05:14:04.9628424Z Running test_futures 1/1 ... [2025-03-14 05:14:04.962147]
2025-03-14T05:14:04.9629404Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:14:04.9635285Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_futures.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'] ... [2025-03-14 05:14:04.962650]
2025-03-14T05:14:07.1958008Z Running test_per_overload_api 1/1 ... [2025-03-14 05:14:07.195328]
2025-03-14T05:14:07.1958993Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:14:07.1961362Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_per_overload_api.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'] ... [2025-03-14 05:14:07.195744]
2025-03-14T05:14:10.3854910Z 
2025-03-14T05:14:10.3856199Z test_futures 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_futures_1.1_c81e921b94507c73_.log
2025-03-14T05:14:10.3868317Z Running 22 items in this shard: test/test_futures.py::TestFuture::test_add_done_callback_error_is_ignored, test/test_futures.py::TestFuture::test_add_done_callback_maintains_callback_order, test/test_futures.py::TestFuture::test_add_done_callback_no_arg_error_is_ignored, test/test_futures.py::TestFuture::test_add_done_callback_simple, test/test_futures.py::TestFuture::test_chained_then, test/test_futures.py::TestFuture::test_collect_all, test/test_futures.py::TestFuture::test_done, test/test_futures.py::TestFuture::test_done_exception, test/test_futures.py::TestFuture::test_interleaving_then_and_add_done_callback_maintains_callback_order, test/test_futures.py::TestFuture::test_interleaving_then_and_add_done_callback_propagates_error, test/test_futures.py::TestFuture::test_mark_future_twice, test/test_futures.py::TestFuture::test_pickle_future, test/test_futures.py::TestFuture::test_set_exception, test/test_futures.py::TestFuture::test_set_exception_multithreading, test/test_futures.py::TestFuture::test_then, test/test_futures.py::TestFuture::test_then_no_arg, test/test_futures.py::TestFuture::test_then_raise, test/test_futures.py::TestFuture::test_then_wrong_arg, test/test_futures.py::TestFuture::test_wait, test/test_futures.py::TestFuture::test_wait_all, test/test_futures.py::TestFuture::test_wait_multi_thread, test/test_futures.py::TestFuture::test_wait_none
2025-03-14T05:14:10.3879533Z 
2025-03-14T05:14:10.9161018Z 
2025-03-14T05:14:10.9162422Z test_per_overload_api 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_per_overload_api_1.1_a4b08983ad174046_.log
2025-03-14T05:14:10.9165401Z Running 3 items in this shard: test/test_per_overload_api.py::TestPerOverloadAPI::test_basics_opoverload, test/test_per_overload_api.py::TestPerOverloadAPI::test_basics_opoverloadpacket, test/test_per_overload_api.py::TestPerOverloadAPI::test_decompose
2025-03-14T05:14:10.9167631Z 
2025-03-14T05:14:14.4543898Z Running test_functionalization_of_rng_ops 1/1 ... [2025-03-14 05:14:14.453972]
2025-03-14T05:14:14.4544607Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:14:14.4546101Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_functionalization_of_rng_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'] ... [2025-03-14 05:14:14.454337]
2025-03-14T05:14:14.8019417Z Running test_dlpack 1/1 ... [2025-03-14 05:14:14.801536]
2025-03-14T05:14:14.8020239Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:14:14.8022337Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', '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'] ... [2025-03-14 05:14:14.801898]
2025-03-14T05:14:18.1236793Z 
2025-03-14T05:14:18.1238176Z test_functionalization_of_rng_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functionalization_of_rng_ops_1.1_67bdaaa7181678db_.log
2025-03-14T05:14:18.1239461Z Running 1 items in this shard: test/test_functionalization_of_rng_ops.py::NegativeTestCPU::test_on_cpu_cpu_float32
2025-03-14T05:14:18.1239990Z 
2025-03-14T05:14:18.6721067Z 
2025-03-14T05:14:18.6722440Z test_dlpack 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dlpack_1.1_99a5ab4b007661fc_.log
2025-03-14T05:14:18.6765859Z Running 118 items in this shard: test/test_dlpack.py::TestTorchDlPackCPU::test_automatically_select_in_creation_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_bfloat16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_bool, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_complex128, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_complex64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_float16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_float32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_float64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_int16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_int32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_int64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_int8, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_uint16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_uint32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_uint64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_uint8, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_bfloat16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_bool, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_complex128, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_complex64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_float16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_float32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_float64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_int16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_int32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_int64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_int8, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_uint8, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_bfloat16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_bool, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_complex128, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_complex64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_float16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_float32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_float64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_int16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_int32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_int64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_int8, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_uint8, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_convert_default_stream_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_default_stream_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_export_is_conj_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_export_non_strided_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_export_requires_grad_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_normalize_strides_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_bfloat16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_bool, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_complex128, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_complex64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_float16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_float32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_float64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_int16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_int32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_int64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_int8, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_uint16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_uint32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_uint64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_uint8, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_shared_storage_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_tensor_invalid_stream_cpu_bfloat16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_tensor_invalid_stream_cpu_complex128, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_tensor_invalid_stream_cpu_complex64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_tensor_invalid_stream_cpu_float16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_tensor_invalid_stream_cpu_float32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_tensor_invalid_stream_cpu_float64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_tensor_invalid_stream_cpu_int16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_tensor_invalid_stream_cpu_int32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_tensor_invalid_stream_cpu_int64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_tensor_invalid_stream_cpu_int8, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_tensor_invalid_stream_cpu_uint8, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_bfloat16, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_bool, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_complex128, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_complex64, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_float16, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_float32, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_float64, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_int16, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_int32, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_int64, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_int8, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_uint16, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_uint32, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_uint64, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_uint8, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_bfloat16, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_bool, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_complex128, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_complex64, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_float16, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_float32, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_float64, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_int16, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_int32, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_int64, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_int8, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_uint16, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_uint32, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_uint64, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_uint8, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_bfloat16, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_bool, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_complex128, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_complex64, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_float16, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_float32, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_float64, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_int16, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_int32, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_int64, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_int8, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_uint16, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_uint32, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_uint64, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_uint8
2025-03-14T05:14:18.6807830Z 
2025-03-14T05:14:21.7551138Z Running functorch/test_vmap_registrations 1/1 ... [2025-03-14 05:14:21.754687]
2025-03-14T05:14:21.7552173Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:14:21.7554553Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_vmap_registrations.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'] ... [2025-03-14 05:14:21.755022]
2025-03-14T05:14:22.3729503Z Running test_ops_gradients 1/2 ... [2025-03-14 05:14:22.372539]
2025-03-14T05:14:22.3730248Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:14:22.3731968Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_ops_gradients.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'] ... [2025-03-14 05:14:22.372840]
2025-03-14T05:14:29.9815466Z 
2025-03-14T05:14:29.9817193Z functorch/test_vmap_registrations 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_vmap_registrations_1.1_095e12f99f20b44f_.log
2025-03-14T05:14:30.1657461Z Running 1716 items in this shard: test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[_test::cat], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[_test::get_first], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[_test::leaky_relu], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::__and__.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::__and__.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::__iand__.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::__iand__.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::__ior__.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::__ior__.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::__ixor__.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::__ixor__.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::__or__.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::__or__.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::__xor__.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::__xor__.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_add_batch_dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_autocast_to_full_precision], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_autocast_to_reduced_precision], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_batch_norm_impl_index], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_batch_norm_impl_index_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_cast_Byte], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_cast_Char], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_cast_Double], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_cast_Float], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_cast_Half], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_cast_Int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_cast_Long], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_cast_Short], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_choose_qparams_per_tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_convolution.deprecated], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_convolution_double_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_convolution_mode], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_cufft_clear_plan_cache], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_cufft_get_plan_cache_max_size], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_cufft_get_plan_cache_size], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_cufft_set_plan_cache_max_size], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_debug_has_internal_overlap], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_dim_arange], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_embedding_bag_sparse_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_gather_sparse_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_grid_sampler_2d_cpu_fallback_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_has_compatible_shallow_copy_type], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_is_zerotensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_lu_with_info], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_nnpack_available], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_pack_padded_sequence_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_pad_circular], 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test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::true_divide.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::true_divide_.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::true_divide_.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::type_as], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::unflatten.int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::unflatten_dense_tensors], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::unsafe_chunk], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::upsample_bicubic2d.vec], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::upsample_bilinear2d.vec], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::upsample_linear1d.vec], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::upsample_nearest1d.vec], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::upsample_nearest2d.vec], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::upsample_nearest3d.vec], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::upsample_trilinear3d.vec], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::value_selecting_reduction_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::vander], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::var.correction_names], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::var.dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::var.names_dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::var], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::var_mean.correction_names], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::var_mean.dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::var_mean.names_dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::var_mean], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::view_as], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::vsplit.array], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::vsplit.int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::vstack], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::where.ScalarOther], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::where.ScalarSelf], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::where.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::where]
2025-03-14T05:14:30.2759295Z 
2025-03-14T05:14:31.1969200Z Uploading artifacts took 1.21 seconds
2025-03-14T05:14:33.6816827Z Running lazy/test_extract_compiled_graph 1/1 ... [2025-03-14 05:14:33.680804]
2025-03-14T05:14:33.6818201Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:14:33.6820796Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'lazy/test_extract_compiled_graph.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'] ... [2025-03-14 05:14:33.681231]
2025-03-14T05:14:35.3014905Z 
2025-03-14T05:14:35.3016509Z lazy/test_extract_compiled_graph 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_extract_compiled_graph_1.1_10bb29cdaea11fcd_.log
2025-03-14T05:14:35.3017773Z 
2025-03-14T05:14:39.7284657Z Running dynamo/test_subclasses 1/1 ... [2025-03-14 05:14:39.728103]
2025-03-14T05:14:39.7285178Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:14:39.7294645Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_subclasses.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'] ... [2025-03-14 05:14:39.728527]
2025-03-14T05:14:47.7769460Z 
2025-03-14T05:14:47.7770884Z dynamo/test_subclasses 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_subclasses_1.1_88e7982e9ae57928_.log
2025-03-14T05:14:47.7772303Z 
2025-03-14T05:14:51.5493072Z Running dynamo/test_ctx_manager 1/1 ... [2025-03-14 05:14:51.548905]
2025-03-14T05:14:51.5493956Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:14:51.5495799Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_ctx_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'] ... [2025-03-14 05:14:51.549277]
2025-03-14T05:15:00.2488922Z 
2025-03-14T05:15:00.2490381Z dynamo/test_ctx_manager 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_ctx_manager_1.1_949f77961128dfff_.log
2025-03-14T05:15:00.2491203Z 
2025-03-14T05:15:03.8266098Z Running dynamo/test_generator 1/1 ... [2025-03-14 05:15:03.826139]
2025-03-14T05:15:03.8267340Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:15:03.8269780Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_generator.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'] ... [2025-03-14 05:15:03.826494]
2025-03-14T05:15:07.4093143Z 
2025-03-14T05:15:07.4094783Z dynamo/test_generator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_generator_1.1_2866ddd24d3d0ac5_.log
2025-03-14T05:15:07.4096399Z 
2025-03-14T05:15:11.0564528Z Running test_subclass 1/1 ... [2025-03-14 05:15:11.056023]
2025-03-14T05:15:11.0565308Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:15:11.0567822Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 05:15:11.056423]
2025-03-14T05:15:13.0121254Z 
2025-03-14T05:15:13.0122521Z test_ops_jit 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_jit_2.2_b7a47ec339f88914_.log
2025-03-14T05:15:13.0389424Z Running 540 items in this shard: test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_abs_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_acosh_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_asinh_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_atan_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_atanh_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_cat_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_digamma_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_div_floor_rounding_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_div_no_rounding_mode_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_erf_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_erfc_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_gt_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_le_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_linalg_householder_product_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_linalg_inv_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_linalg_matrix_power_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_log1p_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_log_softmax_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_log_softmax_with_dtype_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_logit_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_logsumexp_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_mH_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_max_binary_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_mul_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_ne_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_nn_functional_conv1d_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_nn_functional_conv2d_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_nn_functional_conv3d_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_nn_functional_conv_transpose3d_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_round_decimals_neg_3_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_softmax_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_transpose_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_trunc_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_vstack_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_T_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___getitem___cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___getitem___cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___rdiv___cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___rmatmul___cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___rmul___cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___rmul___cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit__batch_norm_with_update_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit__chunk_cat_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit__native_batch_norm_legit_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit__segment_reduce_lengths_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit__unsafe_masked_index_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_abs_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_acos_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_acos_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_acosh_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_add_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_addbmm_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_addcdiv_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_addcmul_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_addmm_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_addmv_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_alias_copy_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_all_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_amax_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_aminmax_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_any_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_argsort_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_argwhere_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_as_strided_copy_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_as_strided_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_as_strided_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_as_strided_scatter_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_as_strided_scatter_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_asin_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_asinh_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_atanh_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_atanh_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_atleast_2d_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_atleast_3d_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_atleast_3d_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_baddbmm_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_bernoulli_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_bfloat16_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_bfloat16_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_block_diag_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_broadcast_shapes_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_byte_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_byte_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cartesian_prod_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cat_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cauchy_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cdist_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cdouble_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_chalf_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_char_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_char_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cholesky_solve_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_clamp_min_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_clone_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_clone_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_column_stack_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_combinations_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_conj_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_conj_physical_cpu_complex64, 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test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_std_mean_unbiased_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_std_unbiased_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_std_unbiased_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_stft_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sub_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sum_to_size_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sum_to_size_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_svd_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_t_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_take_along_dim_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_take_along_dim_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_take_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_take_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_tan_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_tensor_split_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_tensordot_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_tensordot_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_to_sparse_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_topk_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_trace_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_transpose_copy_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_trapezoid_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_trapezoid_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_trapz_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_triangular_solve_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_tril_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_triu_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_true_divide_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_true_divide_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unbind_copy_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unflatten_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unflatten_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unfold_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_uniform_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unique_consecutive_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unsafe_chunk_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unsqueeze_copy_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unsqueeze_copy_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unsqueeze_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_var_unbiased_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_vdot_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_vdot_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_view_as_complex_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_view_as_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_view_as_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_view_copy_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_view_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_view_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_vsplit_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_vstack_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_vstack_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_where_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_xlogy_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_zeros_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_zeros_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_zeros_like_cpu_complex64
2025-03-14T05:15:13.0585748Z 
2025-03-14T05:15:15.1270402Z 
2025-03-14T05:15:15.1271758Z test_subclass 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_subclass_1.1_b2db39fdba5f7f83_.log
2025-03-14T05:15:15.1313849Z 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
2025-03-14T05:15:15.1351949Z 
2025-03-14T05:15:16.6960085Z Running export/test_lift_unlift 1/1 ... [2025-03-14 05:15:16.695540]
2025-03-14T05:15:16.6961086Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:15:16.6963122Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_lift_unlift.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'] ... [2025-03-14 05:15:16.695918]
2025-03-14T05:15:18.7582806Z Running lazy/test_ts_opinfo 1/1 ... [2025-03-14 05:15:18.757853]
2025-03-14T05:15:18.7583559Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:15:18.7585837Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'lazy/test_ts_opinfo.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'] ... [2025-03-14 05:15:18.758225]
2025-03-14T05:15:20.4663253Z 
2025-03-14T05:15:20.4665342Z export/test_lift_unlift 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_lift_unlift_1.1_e7e071ef844449ca_.log
2025-03-14T05:15:20.4670452Z Running 5 items in this shard: test/export/test_lift_unlift.py::TestLift::test_duplicate_constant_access, test/export/test_lift_unlift.py::TestLift::test_lift_basic, test/export/test_lift_unlift.py::TestLift::test_lift_nested, test/export/test_lift_unlift.py::TestLift::test_unlift_nonpersistent_buffer, test/export/test_lift_unlift.py::ConstantAttrMapTest::test_dict_api
2025-03-14T05:15:20.4673855Z 
2025-03-14T05:15:24.2359947Z Running export/test_verifier 1/1 ... [2025-03-14 05:15:24.235454]
2025-03-14T05:15:24.2361216Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:15:24.2364110Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_verifier.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'] ... [2025-03-14 05:15:24.235854]
2025-03-14T05:15:30.6667214Z 
2025-03-14T05:15:30.6669681Z export/test_verifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_verifier_1.1_023815cd92aef01b_.log
2025-03-14T05:15:30.6677746Z Running 10 items in this shard: test/export/test_verifier.py::TestVerifier::test_ep_verifier_basic, test/export/test_verifier.py::TestVerifier::test_ep_verifier_buffer_mutate, test/export/test_verifier.py::TestVerifier::test_ep_verifier_invalid_buffer, test/export/test_verifier.py::TestVerifier::test_ep_verifier_invalid_output, test/export/test_verifier.py::TestVerifier::test_ep_verifier_invalid_param, test/export/test_verifier.py::TestVerifier::test_verifier_basic, test/export/test_verifier.py::TestVerifier::test_verifier_call_module, test/export/test_verifier.py::TestVerifier::test_verifier_higher_order, test/export/test_verifier.py::TestVerifier::test_verifier_nested_invalid_module, test/export/test_verifier.py::TestVerifier::test_verifier_no_functional
2025-03-14T05:15:30.6684557Z 
2025-03-14T05:15:35.7013607Z Running dynamo/test_functions 1/1 ... [2025-03-14 05:15:35.700779]
2025-03-14T05:15:35.7014466Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:15:35.7020880Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_functions.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'] ... [2025-03-14 05:15:35.701675]
2025-03-14T05:15:42.4579969Z 
2025-03-14T05:15:42.4585820Z lazy/test_ts_opinfo 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_ts_opinfo_1.1_e305ff0e3af9443c_.log
2025-03-14T05:15:42.4819579Z Running 292 items in this shard: test/lazy/test_ts_opinfo.py::TestLazyTensor::testConvolutionBackward, test/lazy/test_ts_opinfo.py::TestLazyTensor::test_tensor_ctr, test/lazy/test_ts_opinfo.py::TestLazyTensor::test_view_mark_step_preserved, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness__softmax_backward_data_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_abs_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_addcmul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_addmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_addmm_decomposed_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_alias_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_arange_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_as_strided_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_as_strided_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_baddbmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_block_diag_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_bmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_cat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_clamp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_clamp_min_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_constant_pad_nd_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_cos_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_cumsum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_diag_embed_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_diagonal_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_diagonal_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_div_floor_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_div_no_rounding_mode_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_div_trunc_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_empty_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_empty_strided_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_eq_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_exp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_expand_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_flip_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_floor_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_frac_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_gather_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_ge_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_grid_sampler_2d_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_gt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_le_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_log2_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_log_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_logsumexp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_lt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_masked_fill_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_max_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_max_pool2d_with_indices_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_max_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_max_reduction_with_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_maximum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_mean_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_min_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_min_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_min_reduction_with_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_minimum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_mm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_mul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_mv_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_narrow_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_native_batch_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_native_dropout_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_native_layer_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_ne_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_neg_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_new_empty_strided_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_norm_fro_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_norm_inf_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_norm_nuc_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_permute_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_reciprocal_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_remainder_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_repeat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_rsqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_scatter_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_select_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sgn_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sigmoid_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_slice_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sort_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_squeeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_stack_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_std_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_std_unbiased_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sub_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_t_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_tanh_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_topk_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_trace_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_transpose_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_tril_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_triu_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_trunc_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_unfold_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_uniform_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_unsqueeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_view_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir__softmax_backward_data_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_abs_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_addcmul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_addmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_addmm_decomposed_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_alias_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_arange_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_as_strided_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_as_strided_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_baddbmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_block_diag_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_bmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_cat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_clamp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_clamp_min_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_constant_pad_nd_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_cos_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_cumsum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_diag_embed_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_diagonal_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_diagonal_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_div_floor_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_div_no_rounding_mode_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_div_trunc_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_empty_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_empty_strided_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_eq_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_exp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_expand_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_flip_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_floor_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_frac_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_gather_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_ge_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_grid_sampler_2d_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_gt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_le_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_log2_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_log_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_logsumexp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_lt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_masked_fill_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_max_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_max_pool2d_with_indices_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_max_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_max_reduction_with_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_maximum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_mean_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_min_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_min_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_min_reduction_with_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_minimum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_mm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_mul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_mv_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_narrow_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_native_batch_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_native_dropout_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_native_layer_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_ne_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_neg_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_new_empty_strided_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_norm_fro_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_norm_inf_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_norm_nuc_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_permute_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_reciprocal_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_remainder_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_repeat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_rsqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_scatter_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_select_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sgn_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sigmoid_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_slice_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sort_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_squeeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_stack_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_std_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_std_unbiased_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sub_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_t_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_tanh_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_topk_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_trace_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_transpose_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_tril_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_triu_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_trunc_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_unfold_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_uniform_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_unsqueeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_view_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy__softmax_backward_data_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_abs_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_addcdiv_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_addcmul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_addmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_addmm_decomposed_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_alias_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_arange_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_as_strided_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_as_strided_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_baddbmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_bernoulli_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_bmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_cat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_clamp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_clamp_min_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_constant_pad_nd_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_cos_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_cumsum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_diagonal_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_diagonal_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_div_floor_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_div_no_rounding_mode_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_div_trunc_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_empty_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_empty_strided_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_eq_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_exp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_expand_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_flip_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_floor_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_frac_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_gather_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_ge_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_grid_sampler_2d_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_gt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_le_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_log2_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_log_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_lt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_masked_fill_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_max_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_max_pool2d_with_indices_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_max_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_max_reduction_with_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_maximum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_mean_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_min_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_min_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_minimum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_mm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_mul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_mv_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_native_batch_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_native_dropout_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_native_layer_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_ne_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_neg_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_norm_fro_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_norm_inf_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_permute_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_pow_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_reciprocal_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_remainder_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_repeat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_rsqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_scatter_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_select_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sgn_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sigmoid_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_slice_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sort_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_squeeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_stack_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_std_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_std_unbiased_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sub_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_t_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_tanh_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_topk_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_trace_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_transpose_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_tril_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_triu_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_trunc_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_unfold_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_uniform_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_unsqueeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_view_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyDynamicOps::test_adaptiveavgpool3d_dynamic, test/lazy/test_ts_opinfo.py::TestLazyDynamicOps::test_nonzero_dynamic
2025-03-14T05:15:42.5050085Z 
2025-03-14T05:15:45.0422956Z 
2025-03-14T05:15:45.0424625Z dynamo/test_functions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_functions_1.1_5f52ceb723cfb0ea_.log
2025-03-14T05:15:45.0425654Z 
2025-03-14T05:15:46.8517791Z Running torch_np/numpy_tests/lib/test_type_check 1/1 ... [2025-03-14 05:15:46.851249]
2025-03-14T05:15:46.8520651Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:15:46.8524474Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_type_check.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'] ... [2025-03-14 05:15:46.851757]
2025-03-14T05:15:48.6802354Z Running export/test_serialize 1/1 ... [2025-03-14 05:15:48.679672]
2025-03-14T05:15:48.6803181Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:15:48.6808336Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_serialize.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'] ... [2025-03-14 05:15:48.680120]
2025-03-14T05:15:51.1730033Z 
2025-03-14T05:15:51.1731466Z torch_np/numpy_tests/lib/test_type_check 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_type_check_1.1_10347b10c60abf05_.log
2025-03-14T05:15:51.1750035Z Running 50 items in this shard: test/torch_np/numpy_tests/lib/test_type_check.py::TestCommonType::test_basic, test/torch_np/numpy_tests/lib/test_type_check.py::TestMintypecode::test_default_1, test/torch_np/numpy_tests/lib/test_type_check.py::TestMintypecode::test_default_2, test/torch_np/numpy_tests/lib/test_type_check.py::TestMintypecode::test_default_3, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsscalar::test_basic, test/torch_np/numpy_tests/lib/test_type_check.py::TestReal::test_cmplx, test/torch_np/numpy_tests/lib/test_type_check.py::TestReal::test_real, test/torch_np/numpy_tests/lib/test_type_check.py::TestImag::test_cmplx, test/torch_np/numpy_tests/lib/test_type_check.py::TestImag::test_real, test/torch_np/numpy_tests/lib/test_type_check.py::TestIscomplex::test_fail, test/torch_np/numpy_tests/lib/test_type_check.py::TestIscomplex::test_pass, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsreal::test_fail, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsreal::test_isreal_real, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsreal::test_pass, test/torch_np/numpy_tests/lib/test_type_check.py::TestIscomplexobj::test_basic, test/torch_np/numpy_tests/lib/test_type_check.py::TestIscomplexobj::test_list, test/torch_np/numpy_tests/lib/test_type_check.py::TestIscomplexobj::test_scalar, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsrealobj::test_basic, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsnan::test_complex, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsnan::test_complex1, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsnan::test_goodvalues, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsnan::test_ind, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsnan::test_integer, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsnan::test_neginf, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsnan::test_posinf, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsfinite::test_complex, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsfinite::test_complex1, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsfinite::test_goodvalues, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsfinite::test_ind, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsfinite::test_integer, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsfinite::test_neginf, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsfinite::test_posinf, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsinf::test_goodvalues, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsinf::test_ind, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsinf::test_neginf, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsinf::test_neginf_scalar, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsinf::test_posinf, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsinf::test_posinf_scalar, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsposinf::test_generic, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsneginf::test_generic, test/torch_np/numpy_tests/lib/test_type_check.py::TestNanToNum::test_array, test/torch_np/numpy_tests/lib/test_type_check.py::TestNanToNum::test_complex_bad, test/torch_np/numpy_tests/lib/test_type_check.py::TestNanToNum::test_complex_bad2, test/torch_np/numpy_tests/lib/test_type_check.py::TestNanToNum::test_complex_good, test/torch_np/numpy_tests/lib/test_type_check.py::TestNanToNum::test_do_not_rewrite_previous_keyword, test/torch_np/numpy_tests/lib/test_type_check.py::TestNanToNum::test_float, test/torch_np/numpy_tests/lib/test_type_check.py::TestNanToNum::test_generic, test/torch_np/numpy_tests/lib/test_type_check.py::TestNanToNum::test_integer, test/torch_np/numpy_tests/lib/test_type_check.py::TestRealIfClose::test_basic, test/torch_np/numpy_tests/lib/test_type_check.py::TestArrayConversion::test_asfarray
2025-03-14T05:15:51.1768020Z 
2025-03-14T05:15:55.1862204Z Running profiler/test_profiler 1/1 ... [2025-03-14 05:15:55.185778]
2025-03-14T05:15:55.1863739Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:15:55.1866613Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'profiler/test_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'] ... [2025-03-14 05:15:55.186316]
2025-03-14T05:15:59.8180892Z 
2025-03-14T05:15:59.8182397Z profiler/test_profiler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_profiler_1.1_37acfbf824189d8e_.log
2025-03-14T05:15:59.8227790Z Running 67 items in this shard: test/profiler/test_profiler.py::TestProfilerCUDA::test_cudagraph_profiling_workaround, test/profiler/test_profiler.py::TestProfilerCUDA::test_custom_module_input_op_ids, test/profiler/test_profiler.py::TestProfilerCUDA::test_mem_leak, test/profiler/test_profiler.py::TestProfilerITT::test_custom_module_input_op_ids, test/profiler/test_profiler.py::TestProfiler::test_basic_chrome_trace, test/profiler/test_profiler.py::TestProfiler::test_concrete_inputs_profiling, test/profiler/test_profiler.py::TestProfiler::test_concrete_inputs_profiling_toggling, test/profiler/test_profiler.py::TestProfiler::test_cpu_annotation_overlap, test/profiler/test_profiler.py::TestProfiler::test_disable_external_correlation, test/profiler/test_profiler.py::TestProfiler::test_dynamic_toggle, test/profiler/test_profiler.py::TestProfiler::test_event_list, test/profiler/test_profiler.py::TestProfiler::test_export_stacks, test/profiler/test_profiler.py::TestProfiler::test_flops, test/profiler/test_profiler.py::TestProfiler::test_forked_process, test/profiler/test_profiler.py::TestProfiler::test_guarded_record_function_fast, test/profiler/test_profiler.py::TestProfiler::test_high_level_trace, test/profiler/test_profiler.py::TestProfiler::test_is_profiler_enabled, test/profiler/test_profiler.py::TestProfiler::test_kineto, test/profiler/test_profiler.py::TestProfiler::test_kineto_multigpu, test/profiler/test_profiler.py::TestProfiler::test_kineto_profiler_api, test/profiler/test_profiler.py::TestProfiler::test_kineto_profiler_multiple_steppers, test/profiler/test_profiler.py::TestProfiler::test_kineto_profiler_with_environment_variable, test/profiler/test_profiler.py::TestProfiler::test_lazy_build_tree, test/profiler/test_profiler.py::TestProfiler::test_memory_profiler, test/profiler/test_profiler.py::TestProfiler::test_module_hierarchy, test/profiler/test_profiler.py::TestProfiler::test_nested_tensor_with_shapes, test/profiler/test_profiler.py::TestProfiler::test_oom_tracing, test/profiler/test_profiler.py::TestProfiler::test_profile_all_threads, test/profiler/test_profiler.py::TestProfiler::test_profiler_correlation_id, test/profiler/test_profiler.py::TestProfiler::test_profiler_cuda_sync_events, test/profiler/test_profiler.py::TestProfiler::test_profiler_disable_fwd_bwd_link, test/profiler/test_profiler.py::TestProfiler::test_profiler_fwd_bwd_link, test/profiler/test_profiler.py::TestProfiler::test_profiler_metadata, test/profiler/test_profiler.py::TestProfiler::test_profiler_op_event_args, test/profiler/test_profiler.py::TestProfiler::test_profiler_op_event_kwargs, test/profiler/test_profiler.py::TestProfiler::test_profiler_strides, test/profiler/test_profiler.py::TestProfiler::test_profiler_time_scale, test/profiler/test_profiler.py::TestProfiler::test_profiler_tracing, test/profiler/test_profiler.py::TestProfiler::test_profiler_type, test/profiler/test_profiler.py::TestProfiler::test_record_function_fast, test/profiler/test_profiler.py::TestProfiler::test_schedule_function_count, test/profiler/test_profiler.py::TestProfiler::test_skip_first_wait, test/profiler/test_profiler.py::TestProfiler::test_source, test/profiler/test_profiler.py::TestProfiler::test_tensorboard_trace_handler, test/profiler/test_profiler.py::TestProfiler::test_user_annotation, test/profiler/test_profiler.py::TestExperimentalUtils::test_bfs, test/profiler/test_profiler.py::TestExperimentalUtils::test_dfs, test/profiler/test_profiler.py::TestExperimentalUtils::test_fuzz_symbolize, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_conv2d_bias_followed_by_batchnorm2d_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_extra_cuda_copy_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_extra_cuda_copy_pattern_benchmark, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_for_loop_indexing_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_fp32_matmul_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_grad_not_set_to_none_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_matmul_dim_fp16_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_name_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_optimizer_single_tensor_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_overload_names, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_pattern_match_helper, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_pattern_matcher_json_report, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_synchronized_dataloader_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_utils_compute_idle_time, test/profiler/test_profiler.py::TestExperimentalUtils::test_utils_compute_queue_depth, test/profiler/test_profiler.py::TestExperimentalUtils::test_utils_compute_queue_depth_when_no_cuda_events, test/profiler/test_profiler.py::TestExperimentalUtils::test_utils_compute_self_time, test/profiler/test_profiler.py::TestExperimentalUtils::test_utils_get_optimizable_events, test/profiler/test_profiler.py::TestExperimentalUtils::test_utils_intervals_overlap
2025-03-14T05:15:59.8270781Z 
2025-03-14T05:16:03.7309612Z Running test_cuda 1/1 ... [2025-03-14 05:16:03.730383]
2025-03-14T05:16:03.7310713Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:16:03.7313572Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_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'] ... [2025-03-14 05:16:03.730841]
2025-03-14T05:16:05.4788837Z 
2025-03-14T05:16:05.4790313Z export/test_serialize 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_serialize_1.1_ebe262ae99aa434f_.log
2025-03-14T05:16:05.4860623Z Running 97 items in this shard: test/export/test_serialize.py::TestSerialize::test_canonicalize, test/export/test_serialize.py::TestSerialize::test_export_example_inputs_preserved, test/export/test_serialize.py::TestSerialize::test_export_with_extension_op_serialization, test/export/test_serialize.py::TestSerialize::test_infinity_inputs, test/export/test_serialize.py::TestSerialize::test_int_list, test/export/test_serialize.py::TestSerialize::test_kwargs_default, test/export/test_serialize.py::TestSerialize::test_metadata_parsing_with_layer_split, test/export/test_serialize.py::TestSerialize::test_metadata_run_decomp_serder, test/export/test_serialize.py::TestSerialize::test_multi_return_some_unused, test/export/test_serialize.py::TestSerialize::test_nested_layer_split, test/export/test_serialize.py::TestSerialize::test_predispatch_export_with_autograd_op, test/export/test_serialize.py::TestSerialize::test_rational_ranges, test/export/test_serialize.py::TestSerialize::test_serialize_constant_outputs, test/export/test_serialize.py::TestSerialize::test_serialize_infinite_sym_int, test/export/test_serialize.py::TestSerialize::test_serialize_list_returns, test/export/test_serialize.py::TestSerialize::test_serialize_multiple_returns_from_node, test/export/test_serialize.py::TestSerialize::test_serialize_sym_float, test/export/test_serialize.py::TestSerialize::test_serialize_sym_int, test/export/test_serialize.py::TestSerialize::test_symint_list, test/export/test_serialize.py::TestDeserialize::test_arg_from, test/export/test_serialize.py::TestDeserialize::test_auto_functionalize, test/export/test_serialize.py::TestDeserialize::test_basic, test/export/test_serialize.py::TestDeserialize::test_cond, test/export/test_serialize.py::TestDeserialize::test_constraints, test/export/test_serialize.py::TestDeserialize::test_custom_obj, test/export/test_serialize.py::TestDeserialize::test_custom_obj_list_out, test/export/test_serialize.py::TestDeserialize::test_custom_obj_tuple_out, test/export/test_serialize.py::TestDeserialize::test_device, test/export/test_serialize.py::TestDeserialize::test_dynamic, test/export/test_serialize.py::TestDeserialize::test_export_no_inputs, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_assume_constant_result, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_autograd_function, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_class_method, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_cond_branch_class_method, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_cond_branch_nested_function, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_cond_branch_nonlocal_variables, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_cond_closed_over_variable, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_cond_operands, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_cond_predicate, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_constrain_as_size_example, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_constrain_as_value_example, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_decorator, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_dictionary, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_dynamic_shape_assert, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_dynamic_shape_constructor, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_dynamic_shape_if_guard, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_dynamic_shape_map, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_dynamic_shape_slicing, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_dynamic_shape_view, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_fn_with_kwargs, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_list_contains, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_list_unpack, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_nested_function, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_null_context_manager, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_pytree_flatten, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_scalar_output, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_specialized_attribute, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_static_for_loop, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_static_if, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_tensor_setattr, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_type_reflection_method, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_user_input_mutation, test/export/test_serialize.py::TestDeserialize::test_get_attr, test/export/test_serialize.py::TestDeserialize::test_get_attr_list, test/export/test_serialize.py::TestDeserialize::test_hoo_symint_input, test/export/test_serialize.py::TestDeserialize::test_list_of_optional_tensors, test/export/test_serialize.py::TestDeserialize::test_map, test/export/test_serialize.py::TestDeserialize::test_module, test/export/test_serialize.py::TestDeserialize::test_module_meta, test/export/test_serialize.py::TestDeserialize::test_multi_return, test/export/test_serialize.py::TestDeserialize::test_multiple_getitem, test/export/test_serialize.py::TestDeserialize::test_optional_tuple, test/export/test_serialize.py::TestDeserialize::test_positional_argument_with_default_value, test/export/test_serialize.py::TestDeserialize::test_pytree_namedtuple, test/export/test_serialize.py::TestDeserialize::test_serialize_float8, test/export/test_serialize.py::TestDeserialize::test_shape, test/export/test_serialize.py::TestDeserialize::test_sym_bool, test/export/test_serialize.py::TestDeserialize::test_sym_bool_dynamic_shapes, test/export/test_serialize.py::TestDeserialize::test_sym_bool_torch_check_equal, test/export/test_serialize.py::TestDeserialize::test_sym_float, test/export/test_serialize.py::TestDeserialize::test_sym_int_torch_check_equal, test/export/test_serialize.py::TestDeserialize::test_sym_ite, test/export/test_serialize.py::TestDeserialize::test_tensor_tensor_list, test/export/test_serialize.py::TestDeserialize::test_unbacked_bindings_serialize, test/export/test_serialize.py::TestSchemaVersioning::test_error, test/export/test_serialize.py::TestSaveLoad::test_save_buffer, test/export/test_serialize.py::TestSaveLoad::test_save_constants, test/export/test_serialize.py::TestSaveLoad::test_save_extra, test/export/test_serialize.py::TestSaveLoad::test_save_file, test/export/test_serialize.py::TestSaveLoad::test_save_path, test/export/test_serialize.py::TestSaveLoad::test_version_error, test/export/test_serialize.py::TestSerializeCustomClass::test_custom_class, test/export/test_serialize.py::TestSerializeCustomClass::test_custom_class_containing_fake_tensor, test/export/test_serialize.py::TestSerializeCustomClass::test_custom_class_input_to_function, test/export/test_serialize.py::TestSerializeCustomClass::test_custom_tag_metadata_copy, test/export/test_serialize.py::TestSerializeCustomClass::test_custom_tag_metadata_decomp, test/export/test_serialize.py::TestSerializeCustomClass::test_custom_tag_metadata_serialization
2025-03-14T05:16:05.4942592Z 
2025-03-14T05:16:09.1331696Z Running torch_np/numpy_tests/core/test_numeric 1/1 ... [2025-03-14 05:16:09.132733]
2025-03-14T05:16:09.1332531Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:16:09.1333835Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 05:16:09.133067]
2025-03-14T05:16:09.2046935Z 
2025-03-14T05:16:09.2048187Z test_cuda 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_1.1_0a7efa77462b2913_.log
2025-03-14T05:16:09.2162568Z Running 197 items in this shard: test/test_cuda.py::TestCuda::test_arithmetic_large_tensor, test/test_cuda.py::TestCuda::test_batch_norm_gather_stats, test/test_cuda.py::TestCuda::test_bincount_ext, test/test_cuda.py::TestCuda::test_caching_allocator_record_stream_oom, test/test_cuda.py::TestCuda::test_caching_pinned_memory, test/test_cuda.py::TestCuda::test_check_error, test/test_cuda.py::TestCuda::test_copy_non_blocking, test/test_cuda.py::TestCuda::test_copy_non_blocking_type_conversion, test/test_cuda.py::TestCuda::test_cublas_allow_bf16_reduced_precision_reduction_get_set, test/test_cuda.py::TestCuda::test_cublas_allow_fp16_accumulation_get_set, test/test_cuda.py::TestCuda::test_cublas_allow_fp16_reduced_precision_reduction_get_set, test/test_cuda.py::TestCuda::test_cublas_allow_tf32_get_set, test/test_cuda.py::TestCuda::test_cublas_multiple_threads_same_device, test/test_cuda.py::TestCuda::test_cublas_workspace_explicit_allocation, test/test_cuda.py::TestCuda::test_cuda_get_device_capability, test/test_cuda.py::TestCuda::test_cuda_get_device_name, test/test_cuda.py::TestCuda::test_cuda_get_device_properties, test/test_cuda.py::TestCuda::test_cuda_graph_allocator_propagates_stream, test/test_cuda.py::TestCuda::test_cuda_graph_error_options, test/test_cuda.py::TestCuda::test_cuda_memory_leak_detection_propagates_errors, test/test_cuda.py::TestCuda::test_cudart_register, test/test_cuda.py::TestCuda::test_cudnn_allow_tf32_get_set, test/test_cuda.py::TestCuda::test_cudnn_multiple_threads_same_device, test/test_cuda.py::TestCuda::test_cusparse_multiple_threads_same_device, test/test_cuda.py::TestCuda::test_device_count_not_cached_pre_init, test/test_cuda.py::TestCuda::test_events, test/test_cuda.py::TestCuda::test_fixed_cuda_assert_async, test/test_cuda.py::TestCuda::test_float32_matmul_precision_get_set, test/test_cuda.py::TestCuda::test_gather_bool, test/test_cuda.py::TestCuda::test_gds_fails_in_ci, test/test_cuda.py::TestCuda::test_generic_stream_event, test/test_cuda.py::TestCuda::test_get_device_index, test/test_cuda.py::TestCuda::test_graph_capture_oom, test/test_cuda.py::TestCuda::test_graph_capture_reset_recapture, test/test_cuda.py::TestCuda::test_graph_capture_simple, test/test_cuda.py::TestCuda::test_graph_concurrent_replay, test/test_cuda.py::TestCuda::test_graph_debugdump, test/test_cuda.py::TestCuda::test_graph_error, test/test_cuda.py::TestCuda::test_graph_is_current_stream_capturing, test/test_cuda.py::TestCuda::test_graph_make_graphed_callables_same_pool, test/test_cuda.py::TestCuda::test_graph_memory_stats_and_use_result_after_destroy_graph, test/test_cuda.py::TestCuda::test_graph_optims_with_explicitly_capturable_param_groups, test/test_cuda.py::TestCuda::test_graph_record_stream, test/test_cuda.py::TestCuda::test_graph_rng_distributions, test/test_cuda.py::TestCuda::test_graph_rng_functional, test/test_cuda.py::TestCuda::test_graph_three_successive, test/test_cuda.py::TestCuda::test_graph_two_successive, test/test_cuda.py::TestCuda::test_graph_warn_if_has_zero_nodes, test/test_cuda.py::TestCuda::test_graphsafe_set_get_rng_state, test/test_cuda.py::TestCuda::test_hip_device_count, test/test_cuda.py::TestCuda::test_hipblaslt_allow_tf32, test/test_cuda.py::TestCuda::test_host_memory_stats, test/test_cuda.py::TestCuda::test_index_out_of_bounds_exception_cuda, test/test_cuda.py::TestCuda::test_is_pinned_no_context, test/test_cuda.py::TestCuda::test_lazy_init, test/test_cuda.py::TestCuda::test_manual_seed, test/test_cuda.py::TestCuda::test_matmul_device_mismatch, test/test_cuda.py::TestCuda::test_matmul_memory_use, test/test_cuda.py::TestCuda::test_mean_fp16, test/test_cuda.py::TestCuda::test_memory_allocation, test/test_cuda.py::TestCuda::test_memory_stats_of_multiple_generators_and_graphs, test/test_cuda.py::TestCuda::test_min_max_inits, test/test_cuda.py::TestCuda::test_multi_device_stream_context_manager, test/test_cuda.py::TestCuda::test_multinomial_ext, test/test_cuda.py::TestCuda::test_multinomial_invalid_probs_cuda, test/test_cuda.py::TestCuda::test_noncontiguous_pinned_memory, test/test_cuda.py::TestCuda::test_norm_type_conversion, test/test_cuda.py::TestCuda::test_nvtx, test/test_cuda.py::TestCuda::test_out_of_memory, test/test_cuda.py::TestCuda::test_pinned_memory_empty_cache, test/test_cuda.py::TestCuda::test_pinned_memory_with_cudaregister, test/test_cuda.py::TestCuda::test_pinned_memory_with_cudaregister_multithread, test/test_cuda.py::TestCuda::test_prod_large, test/test_cuda.py::TestCuda::test_randint_generation_for_large_numel, test/test_cuda.py::TestCuda::test_randint_randomness_for_large_range, test/test_cuda.py::TestCuda::test_random_no_reused_random_states_float32, test/test_cuda.py::TestCuda::test_random_no_reused_random_states_float64, test/test_cuda.py::TestCuda::test_record_stream, test/test_cuda.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda.py::TestCuda::test_reduction_gpu_memory_accessing, test/test_cuda.py::TestCuda::test_rocm_backward_pass_guard, test/test_cuda.py::TestCuda::test_serialization_array_with_empty, test/test_cuda.py::TestCuda::test_serialization_array_with_storage, test/test_cuda.py::TestCuda::test_specify_improper_device_name, test/test_cuda.py::TestCuda::test_stream_compatibility, test/test_cuda.py::TestCuda::test_stream_context_manager, test/test_cuda.py::TestCuda::test_stream_event_repr, test/test_cuda.py::TestCuda::test_streaming_backwards_callback, test/test_cuda.py::TestCuda::test_streaming_backwards_multiple_streams, test/test_cuda.py::TestCuda::test_streaming_backwards_sync, test/test_cuda.py::TestCuda::test_streaming_backwards_sync_graph_root, test/test_cuda.py::TestCuda::test_streams, test/test_cuda.py::TestCuda::test_sum_fp16, test/test_cuda.py::TestCuda::test_tiny_half_norm_, test/test_cuda.py::TestCuda::test_to_cpu_blocking_by_default, test/test_cuda.py::TestCuda::test_to_numpy, test/test_cuda.py::TestCuda::test_torch_manual_seed_seeds_cuda_devices, test/test_cuda.py::TestCuda::test_type_conversions, test/test_cuda.py::TestCuda::test_uuid, test/test_cuda.py::TestCudaMallocAsync::test_allocator_fuzz, test/test_cuda.py::TestCudaMallocAsync::test_allocator_settings, test/test_cuda.py::TestCudaMallocAsync::test_cachingAllocator_raw_alloc, test/test_cuda.py::TestCudaMallocAsync::test_clock_speed, test/test_cuda.py::TestCudaMallocAsync::test_cpp_memory_snapshot_pickle, test/test_cuda.py::TestCudaMallocAsync::test_cycles, test/test_cuda.py::TestCudaMallocAsync::test_device_memory_used, test/test_cuda.py::TestCudaMallocAsync::test_direct_traceback, test/test_cuda.py::TestCudaMallocAsync::test_garbage_collect_expandable, test/test_cuda.py::TestCudaMallocAsync::test_max_split_expandable, test/test_cuda.py::TestCudaMallocAsync::test_memory_plots, test/test_cuda.py::TestCudaMallocAsync::test_memory_plots_free_segment_stack, test/test_cuda.py::TestCudaMallocAsync::test_memory_plots_free_stack, test/test_cuda.py::TestCudaMallocAsync::test_memory_plots_history_context, test/test_cuda.py::TestCudaMallocAsync::test_memory_profiler_viz, test/test_cuda.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda.py::TestCudaMallocAsync::test_memory_snapshot_script, test/test_cuda.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda.py::TestCudaMallocAsync::test_notifies_oom, test/test_cuda.py::TestCudaMallocAsync::test_nvml_get_handler, test/test_cuda.py::TestCudaMallocAsync::test_power_draw, test/test_cuda.py::TestCudaMallocAsync::test_raises_oom_max_split_size_mb_setting_False, test/test_cuda.py::TestCudaMallocAsync::test_raises_oom_max_split_size_mb_setting_True, test/test_cuda.py::TestCudaMallocAsync::test_raw_amdsmi_device_count, test/test_cuda.py::TestCudaMallocAsync::test_raw_amdsmi_device_uuids, test/test_cuda.py::TestCudaMallocAsync::test_temperature, test/test_cuda.py::TestCudaMallocAsync::test_uuid_visible_devices, test/test_cuda.py::TestBlockStateAbsorption::test_additional_free_following_checkpoint, test/test_cuda.py::TestBlockStateAbsorption::test_allocate_in_thread_to_pool, test/test_cuda.py::TestBlockStateAbsorption::test_allocated_in_middle_of_segment, test/test_cuda.py::TestBlockStateAbsorption::test_assigning_back_deleter_fns_to_tensor, test/test_cuda.py::TestBlockStateAbsorption::test_check_pool_live_allocations, test/test_cuda.py::TestBlockStateAbsorption::test_middle_allocations_contiguous, test/test_cuda.py::TestBlockStateAbsorption::test_multiple_middle_allocations, test/test_cuda.py::TestBlockStateAbsorption::test_no_triton_on_import, test/test_cuda.py::TestBlockStateAbsorption::test_resnet, test/test_cuda.py::TestBlockStateAbsorption::test_simple, test/test_cuda.py::TestBlockStateAbsorption::test_tensor_dies_after_checkpoint, test/test_cuda.py::TestMemPool::test_mempool_context, test/test_cuda.py::TestMemPool::test_mempool_expandable, test/test_cuda.py::TestMemPool::test_mempool_id, test/test_cuda.py::TestMemPool::test_mempool_multithread, test/test_cuda.py::TestMemPool::test_mempool_with_allocator, test/test_cuda.py::TestGDS::test_gds_read_write_tensors, test/test_cuda.py::TestCudaAutocast::test_autocast_banned, test/test_cuda.py::TestCudaAutocast::test_autocast_cache_leak, test/test_cuda.py::TestCudaAutocast::test_autocast_cat_jit, test/test_cuda.py::TestCudaAutocast::test_autocast_checkpointing, test/test_cuda.py::TestCudaAutocast::test_autocast_custom_cast_inputs, test/test_cuda.py::TestCudaAutocast::test_autocast_custom_deprecated_warning, test/test_cuda.py::TestCudaAutocast::test_autocast_custom_enabled, test/test_cuda.py::TestCudaAutocast::test_autocast_ignored_types, test/test_cuda.py::TestCudaAutocast::test_autocast_linalg_fp16, test/test_cuda.py::TestCudaAutocast::test_autocast_methods_expect_builtin_promote, test/test_cuda.py::TestCudaAutocast::test_autocast_methods_fp16, test/test_cuda.py::TestCudaAutocast::test_autocast_methods_fp32, test/test_cuda.py::TestCudaAutocast::test_autocast_nn_bf16, test/test_cuda.py::TestCudaAutocast::test_autocast_nn_fp16, test/test_cuda.py::TestCudaAutocast::test_autocast_nn_fp32, test/test_cuda.py::TestCudaAutocast::test_autocast_rnn, test/test_cuda.py::TestCudaAutocast::test_autocast_torch_bf16, test/test_cuda.py::TestCudaAutocast::test_autocast_torch_expect_builtin_promote, test/test_cuda.py::TestCudaAutocast::test_autocast_torch_fp16, test/test_cuda.py::TestCudaAutocast::test_autocast_torch_fp32, test/test_cuda.py::TestCudaAutocast::test_autocast_torch_need_autocast_promote, test/test_cuda.py::TestCudaAutocast::test_cuda_autocast_deprecated_warning, test/test_cuda.py::TestCudaAutocast::test_cuda_module_loading_env, test/test_cuda.py::TestCudaOptimsCPU::test_grad_scaler_with_preset_grad_scale_in_place_unscale_False_AdamW_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_grad_scaler_with_preset_grad_scale_in_place_unscale_False_Adam_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_grad_scaler_with_preset_grad_scale_in_place_unscale_False_SGD_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_grad_scaler_with_preset_grad_scale_in_place_unscale_True_AdamW_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_grad_scaler_with_preset_grad_scale_in_place_unscale_True_Adam_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_grad_scaler_with_preset_grad_scale_in_place_unscale_True_SGD_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_grad_scaling_autocast_fused_optimizers_Adagrad_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_grad_scaling_autocast_fused_optimizers_AdamW_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_grad_scaling_autocast_fused_optimizers_Adam_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_grad_scaling_autocast_fused_optimizers_SGD_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_grad_scaling_foreach_False_fused_False_AdamW_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_grad_scaling_foreach_False_fused_False_Adam_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_grad_scaling_foreach_False_fused_False_SGD_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_grad_scaling_foreach_False_fused_True_AdamW_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_grad_scaling_foreach_False_fused_True_Adam_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_grad_scaling_foreach_False_fused_True_SGD_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_grad_scaling_foreach_True_fused_False_AdamW_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_grad_scaling_foreach_True_fused_False_Adam_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_grad_scaling_foreach_True_fused_False_SGD_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_optims_ASGD_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_optims_Adadelta_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_optims_AdamW_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_optims_Adam_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_optims_Adamax_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_optims_NAdam_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_optims_RAdam_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_optims_RMSprop_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_optims_Rprop_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_scaling_fused_optimizers_AdamW_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_scaling_fused_optimizers_Adam_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_scaling_fused_optimizers_SGD_cpu_float32
2025-03-14T05:16:09.2311843Z 
2025-03-14T05:16:12.7715213Z Running dynamo/test_reorder_logs 1/1 ... [2025-03-14 05:16:12.770500]
2025-03-14T05:16:12.7716113Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:16:12.7718240Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_reorder_logs.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'] ... [2025-03-14 05:16:12.770931]
2025-03-14T05:16:16.3583004Z 
2025-03-14T05:16:16.3584611Z dynamo/test_reorder_logs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_reorder_logs_1.1_2278e97166f32dd6_.log
2025-03-14T05:16:16.3585982Z 
2025-03-14T05:16:16.8100349Z 
2025-03-14T05:16:16.8102167Z 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_947e9caa5bb53fdf_.log
2025-03-14T05:16:16.8205147Z Running 273 items in this shard: test/torch_np/numpy_tests/core/test_numeric.py::TestResize::test_copies, test/torch_np/numpy_tests/core/test_numeric.py::TestResize::test_negative_resize, test/torch_np/numpy_tests/core/test_numeric.py::TestResize::test_repeats, test/torch_np/numpy_tests/core/test_numeric.py::TestResize::test_reshape_from_zero, test/torch_np/numpy_tests/core/test_numeric.py::TestResize::test_zeroresize, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_choose, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_clip, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_compress, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_count_nonzero, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_cumproduct, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_diagonal, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_accuracy, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype0, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype1, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype2, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype3, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype4, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype5, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype6, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype7, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_edgecases_val_2147483647_ndigits_-1, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_edgecases_val_2147483647_ndigits_-10, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_edgecases_val_2147483647_ndigits_-9, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_mean, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_prod, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_ptp, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_ravel, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_repeat, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_reshape, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_round, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_round_2, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_round_py_consistency, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_searchsorted, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_size, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_squeeze, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_std, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_sum, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_swapaxes, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_take, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_trace, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_transpose, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_var, test/torch_np/numpy_tests/core/test_numeric.py::TestIsscalar::test_isscalar, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolScalar::test_bitwise_and_eq, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolScalar::test_bitwise_and_is, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolScalar::test_bitwise_or_eq, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolScalar::test_bitwise_or_is, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolScalar::test_bitwise_xor_eq, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolScalar::test_bitwise_xor_is, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolScalar::test_logical, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolArray::test_all_any, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolArray::test_logical_and_or_xor, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolArray::test_logical_not_abs, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolCmp::test_double, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolCmp::test_float, test/torch_np/numpy_tests/core/test_numeric.py::TestSeterr::test_default, test/torch_np/numpy_tests/core/test_numeric.py::TestSeterr::test_divide_err, test/torch_np/numpy_tests/core/test_numeric.py::TestSeterr::test_errobj, test/torch_np/numpy_tests/core/test_numeric.py::TestSeterr::test_set, test/torch_np/numpy_tests/core/test_numeric.py::TestFloatExceptions::test_floating_exceptions_typecode_D, test/torch_np/numpy_tests/core/test_numeric.py::TestFloatExceptions::test_floating_exceptions_typecode_F, test/torch_np/numpy_tests/core/test_numeric.py::TestFloatExceptions::test_floating_exceptions_typecode_d, test/torch_np/numpy_tests/core/test_numeric.py::TestFloatExceptions::test_floating_exceptions_typecode_e, test/torch_np/numpy_tests/core/test_numeric.py::TestFloatExceptions::test_floating_exceptions_typecode_f, test/torch_np/numpy_tests/core/test_numeric.py::TestFloatExceptions::test_warnings, test/torch_np/numpy_tests/core/test_numeric.py::TestTypes::test_can_cast, test/torch_np/numpy_tests/core/test_numeric.py::TestTypes::test_can_cast_2, test/torch_np/numpy_tests/core/test_numeric.py::TestTypes::test_can_cast_values, test/torch_np/numpy_tests/core/test_numeric.py::TestTypes::test_coercion, test/torch_np/numpy_tests/core/test_numeric.py::TestTypes::test_coercion_2, test/torch_np/numpy_tests/core/test_numeric.py::TestTypes::test_promote_types_endian, test/torch_np/numpy_tests/core/test_numeric.py::TestTypes::test_result_type, test/torch_np/numpy_tests/core/test_numeric.py::TestTypes::test_tesult_type_2, test/torch_np/numpy_tests/core/test_numeric.py::TestFromiter::test_2592_dtype0_count_10_error_index_5, test/torch_np/numpy_tests/core/test_numeric.py::TestFromiter::test_2592_dtype0_count_10_error_index_9, test/torch_np/numpy_tests/core/test_numeric.py::TestFromiter::test_empty_result, test/torch_np/numpy_tests/core/test_numeric.py::TestFromiter::test_failed_itemsetting, test/torch_np/numpy_tests/core/test_numeric.py::TestFromiter::test_lengths, test/torch_np/numpy_tests/core/test_numeric.py::TestFromiter::test_too_few_items, test/torch_np/numpy_tests/core/test_numeric.py::TestFromiter::test_types, test/torch_np/numpy_tests/core/test_numeric.py::TestFromiter::test_values, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_?, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_B, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_D, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_F, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_b, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_d, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_e, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_f, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_h, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_i, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_l, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_list, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_countnonzero_axis_empty, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_countnonzero_keepdims, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_nonzero_onedim, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_nonzero_onedim_differs, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_nonzero_trivial, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_nonzero_trivial_differs, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_nonzero_twodim, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_nonzero_zerod, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_nonzero_zerod_differs, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_sparse, test/torch_np/numpy_tests/core/test_numeric.py::TestIndex::test_boolean, test/torch_np/numpy_tests/core/test_numeric.py::TestIndex::test_boolean_edgecase, test/torch_np/numpy_tests/core/test_numeric.py::TestBinaryRepr::test_large_neg_int64, test/torch_np/numpy_tests/core/test_numeric.py::TestBinaryRepr::test_neg_width_boundaries, test/torch_np/numpy_tests/core/test_numeric.py::TestBinaryRepr::test_negative, test/torch_np/numpy_tests/core/test_numeric.py::TestBinaryRepr::test_positive, test/torch_np/numpy_tests/core/test_numeric.py::TestBinaryRepr::test_sufficient_width, test/torch_np/numpy_tests/core/test_numeric.py::TestBinaryRepr::test_zero, test/torch_np/numpy_tests/core/test_numeric.py::TestBaseRepr::test_base3, test/torch_np/numpy_tests/core/test_numeric.py::TestBaseRepr::test_base_range, test/torch_np/numpy_tests/core/test_numeric.py::TestBaseRepr::test_negative, test/torch_np/numpy_tests/core/test_numeric.py::TestBaseRepr::test_positive, test/torch_np/numpy_tests/core/test_numeric.py::TestArrayComparisons::test_array_equal, test/torch_np/numpy_tests/core/test_numeric.py::TestArrayComparisons::test_array_equal_equal_nan, test/torch_np/numpy_tests/core/test_numeric.py::TestArrayComparisons::test_array_equiv, test/torch_np/numpy_tests/core/test_numeric.py::TestArrayComparisons::test_none_compares_elementwise, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_array_double, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_complex, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_func_takes_out, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_inplace_array, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_inplace_simple, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_nan, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_non_contig, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_property, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_scalar_nan_propagation_arr0_amin0_amax0, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_value_min_max_flip_amin2_amax2, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_value_min_max_flip_amin_1_amax1, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_value_min_max_flip_amin_1_amax_0, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_with_out_array_int32, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_with_out_array_outint32, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_with_out_memory_overlap, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_with_out_simple, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_with_out_simple2, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_with_out_simple_int32, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_with_out_transposed, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_noncontig_inplace, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_2_dtype_D, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_2_dtype_F, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_2_dtype_e, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_dtype_?, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_dtype_B, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_dtype_b, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_dtype_d, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_dtype_f, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_dtype_h, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_dtype_i, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_dtype_l, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_complex, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_double, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_inplace_01, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_inplace_02, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_int, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_int32_inout_casting0, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_int32_inout_casting_unsafe, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_int32_out, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_int64_inout, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_int64_out, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_nonnative, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_out, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_01, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_02, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_03, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_04, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_05, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_06, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_07, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_08, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_09, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_10, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_11, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_12, test/torch_np/numpy_tests/core/test_numeric.py::TestAllclose::test_equalnan, test/torch_np/numpy_tests/core/test_numeric.py::TestAllclose::test_ip_allclose, test/torch_np/numpy_tests/core/test_numeric.py::TestAllclose::test_ip_not_allclose, test/torch_np/numpy_tests/core/test_numeric.py::TestAllclose::test_min_int, test/torch_np/numpy_tests/core/test_numeric.py::TestAllclose::test_no_parameter_modification, test/torch_np/numpy_tests/core/test_numeric.py::TestIsclose::test_equal_nan, test/torch_np/numpy_tests/core/test_numeric.py::TestIsclose::test_ip_all_isclose, test/torch_np/numpy_tests/core/test_numeric.py::TestIsclose::test_ip_isclose, test/torch_np/numpy_tests/core/test_numeric.py::TestIsclose::test_ip_isclose_allclose, test/torch_np/numpy_tests/core/test_numeric.py::TestIsclose::test_ip_none_isclose, test/torch_np/numpy_tests/core/test_numeric.py::TestIsclose::test_no_parameter_modification, test/torch_np/numpy_tests/core/test_numeric.py::TestIsclose::test_non_finite_scalar, test/torch_np/numpy_tests/core/test_numeric.py::TestIsclose::test_scalar_return, test/torch_np/numpy_tests/core/test_numeric.py::TestStdVar::test_basic, test/torch_np/numpy_tests/core/test_numeric.py::TestStdVar::test_ddof1, test/torch_np/numpy_tests/core/test_numeric.py::TestStdVar::test_ddof2, test/torch_np/numpy_tests/core/test_numeric.py::TestStdVar::test_out_scalar, test/torch_np/numpy_tests/core/test_numeric.py::TestStdVar::test_scalars, test/torch_np/numpy_tests/core/test_numeric.py::TestStdVarComplex::test_basic, test/torch_np/numpy_tests/core/test_numeric.py::TestStdVarComplex::test_scalars, test/torch_np/numpy_tests/core/test_numeric.py::TestCreationFuncs::test_empty, test/torch_np/numpy_tests/core/test_numeric.py::TestCreationFuncs::test_for_reference_leak, test/torch_np/numpy_tests/core/test_numeric.py::TestCreationFuncs::test_full, test/torch_np/numpy_tests/core/test_numeric.py::TestCreationFuncs::test_ones, test/torch_np/numpy_tests/core/test_numeric.py::TestCreationFuncs::test_zeros, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_dtype_str_bytes_likefunc0_dtype0, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_dtype_str_bytes_likefunc0_dtype1, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_dtype_str_bytes_likefunc1_dtype0, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_dtype_str_bytes_likefunc1_dtype1, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_dtype_str_bytes_likefunc2_dtype0, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_dtype_str_bytes_likefunc2_dtype1, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_dtype_str_bytes_likefunc3_dtype0, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_dtype_str_bytes_likefunc3_dtype1, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_empty_like, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_filled_like, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_ones_like, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_zeros_like, test/torch_np/numpy_tests/core/test_numeric.py::TestCorrelate::test_complex, test/torch_np/numpy_tests/core/test_numeric.py::TestCorrelate::test_float, test/torch_np/numpy_tests/core/test_numeric.py::TestCorrelate::test_mode, test/torch_np/numpy_tests/core/test_numeric.py::TestCorrelate::test_no_overwrite, test/torch_np/numpy_tests/core/test_numeric.py::TestCorrelate::test_zero_size, test/torch_np/numpy_tests/core/test_numeric.py::TestConvolve::test_mode, test/torch_np/numpy_tests/core/test_numeric.py::TestConvolve::test_no_overwrite, test/torch_np/numpy_tests/core/test_numeric.py::TestConvolve::test_numpy_doc_examples, test/torch_np/numpy_tests/core/test_numeric.py::TestConvolve::test_object, test/torch_np/numpy_tests/core/test_numeric.py::TestDtypePositional::test_dtype_positional, test/torch_np/numpy_tests/core/test_numeric.py::TestArgwhere::test_2D, test/torch_np/numpy_tests/core/test_numeric.py::TestArgwhere::test_list, test/torch_np/numpy_tests/core/test_numeric.py::TestArgwhere::test_nd_nd_0, test/torch_np/numpy_tests/core/test_numeric.py::TestArgwhere::test_nd_nd_1, test/torch_np/numpy_tests/core/test_numeric.py::TestArgwhere::test_nd_nd_2, test/torch_np/numpy_tests/core/test_numeric.py::TestStringFunction::test_set_string_function, test/torch_np/numpy_tests/core/test_numeric.py::TestRoll::test_roll1d, test/torch_np/numpy_tests/core/test_numeric.py::TestRoll::test_roll2d, test/torch_np/numpy_tests/core/test_numeric.py::TestRoll::test_roll_empty, test/torch_np/numpy_tests/core/test_numeric.py::TestRollaxis::test_exceptions, test/torch_np/numpy_tests/core/test_numeric.py::TestRollaxis::test_results, test/torch_np/numpy_tests/core/test_numeric.py::TestMoveaxis::test_errors, test/torch_np/numpy_tests/core/test_numeric.py::TestMoveaxis::test_move_multiples, test/torch_np/numpy_tests/core/test_numeric.py::TestMoveaxis::test_move_new_position, test/torch_np/numpy_tests/core/test_numeric.py::TestMoveaxis::test_move_to_end, test/torch_np/numpy_tests/core/test_numeric.py::TestMoveaxis::test_preserve_order, test/torch_np/numpy_tests/core/test_numeric.py::TestCross::test_2x2, test/torch_np/numpy_tests/core/test_numeric.py::TestCross::test_2x3, test/torch_np/numpy_tests/core/test_numeric.py::TestCross::test_3x3, test/torch_np/numpy_tests/core/test_numeric.py::TestCross::test_broadcasting, test/torch_np/numpy_tests/core/test_numeric.py::TestCross::test_broadcasting_shapes, test/torch_np/numpy_tests/core/test_numeric.py::TestCross::test_uint8_int32_mixed_dtypes, test/torch_np/numpy_tests/core/test_numeric.py::TestOuterMisc::test_outer_out_param, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype0_dims0, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype0_dims1, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype0_dims2, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype1_dims0, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype1_dims1, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype1_dims2, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype2_dims0, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype2_dims1, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype2_dims2, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype3_dims0, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype3_dims1, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype3_dims2, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_scalar_input, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_simple, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_single_input, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_sparse, test/torch_np/numpy_tests/core/test_numeric.py::TestRequire::test_C_and_F_simul, test/torch_np/numpy_tests/core/test_numeric.py::TestRequire::test_non_array_input, test/torch_np/numpy_tests/core/test_numeric.py::TestRequire::test_require_each, test/torch_np/numpy_tests/core/test_numeric.py::TestRequire::test_unknown_requirement, test/torch_np/numpy_tests/core/test_numeric.py::TestBroadcast::test_broadcast_error_kwargs, test/torch_np/numpy_tests/core/test_numeric.py::TestBroadcast::test_broadcast_in_args, test/torch_np/numpy_tests/core/test_numeric.py::TestBroadcast::test_broadcast_single_arg, test/torch_np/numpy_tests/core/test_numeric.py::TestBroadcast::test_number_of_arguments, test/torch_np/numpy_tests/core/test_numeric.py::TestBroadcast::test_shape_mismatch_error_message, test/torch_np/numpy_tests/core/test_numeric.py::TestTensordot::test_zero_dimension, test/torch_np/numpy_tests/core/test_numeric.py::TestTensordot::test_zero_dimension_einsum, test/torch_np/numpy_tests/core/test_numeric.py::TestTensordot::test_zero_dimensional
2025-03-14T05:16:16.8305702Z 
2025-03-14T05:16:20.2228984Z Running test_jit_fuser_te 1/1 ... [2025-03-14 05:16:20.222486]
2025-03-14T05:16:20.2229712Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:16:20.2232426Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 05:16:20.222833]
2025-03-14T05:16:20.7854049Z Running test_pruning_op 1/1 ... [2025-03-14 05:16:20.784999]
2025-03-14T05:16:20.7854821Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:16:20.7857168Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_pruning_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'] ... [2025-03-14 05:16:20.785352]
2025-03-14T05:16:24.7053916Z 
2025-03-14T05:16:24.7055691Z test_pruning_op 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_pruning_op_1.1_3597976271fe853d_.log
2025-03-14T05:16:24.7058610Z Running 2 items in this shard: test/test_pruning_op.py::PruningOpTest::test_rowwise_prune_op_32bit_indices, test/test_pruning_op.py::PruningOpTest::test_rowwise_prune_op_64bit_indices
2025-03-14T05:16:24.7060390Z 
2025-03-14T05:16:28.7386305Z Running test_mkldnn 1/1 ... [2025-03-14 05:16:28.738184]
2025-03-14T05:16:28.7387068Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:16:28.7390049Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 05:16:28.738625]
2025-03-14T05:17:55.4257348Z 
2025-03-14T05:17:55.4258995Z test_mkldnn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkldnn_1.1_b1b438913c696295_.log
2025-03-14T05:17:55.4296734Z Running 83 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_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
2025-03-14T05:17:55.4319317Z 
2025-03-14T05:18:00.2473730Z Running test_tensorboard 1/1 ... [2025-03-14 05:18:00.246960]
2025-03-14T05:18:00.2474785Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:18:00.2476810Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_tensorboard.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'] ... [2025-03-14 05:18:00.247331]
2025-03-14T05:18:05.1689961Z 
2025-03-14T05:18:05.1691497Z test_tensorboard 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorboard_1.1_0b0d22cdc0130887_.log
2025-03-14T05:18:05.1724332Z Running 50 items in this shard: test/test_tensorboard.py::TestTensorBoardPyTorchNumpy::test_pytorch_autograd_np, test/test_tensorboard.py::TestTensorBoardPyTorchNumpy::test_pytorch_histogram, test/test_tensorboard.py::TestTensorBoardPyTorchNumpy::test_pytorch_histogram_raw, test/test_tensorboard.py::TestTensorBoardPyTorchNumpy::test_pytorch_np, test/test_tensorboard.py::TestTensorBoardPyTorchNumpy::test_pytorch_write, test/test_tensorboard.py::TestTensorBoardUtils::test_convert_to_HWC_dtype_remains_same, test/test_tensorboard.py::TestTensorBoardUtils::test_numpy_vid_uint8, test/test_tensorboard.py::TestTensorBoardUtils::test_prepare_video, test/test_tensorboard.py::TestTensorBoardUtils::test_to_HWC, test/test_tensorboard.py::TestTensorBoardWriter::test_writer, test/test_tensorboard.py::TestTensorBoardSummaryWriter::test_pathlib, test/test_tensorboard.py::TestTensorBoardSummaryWriter::test_summary_writer_close, test/test_tensorboard.py::TestTensorBoardSummaryWriter::test_summary_writer_ctx, test/test_tensorboard.py::TestTensorBoardEmbedding::test_embedding, test/test_tensorboard.py::TestTensorBoardEmbedding::test_embedding_64, test/test_tensorboard.py::TestTensorBoardSummary::test_audio, test/test_tensorboard.py::TestTensorBoardSummary::test_custom_scalars, test/test_tensorboard.py::TestTensorBoardSummary::test_empty_input, test/test_tensorboard.py::TestTensorBoardSummary::test_float32_image, test/test_tensorboard.py::TestTensorBoardSummary::test_histogram_auto, test/test_tensorboard.py::TestTensorBoardSummary::test_histogram_doane, test/test_tensorboard.py::TestTensorBoardSummary::test_histogram_fd, test/test_tensorboard.py::TestTensorBoardSummary::test_image_with_3_channel_batched, test/test_tensorboard.py::TestTensorBoardSummary::test_image_with_boxes, test/test_tensorboard.py::TestTensorBoardSummary::test_image_with_one_channel, test/test_tensorboard.py::TestTensorBoardSummary::test_image_with_one_channel_batched, test/test_tensorboard.py::TestTensorBoardSummary::test_image_without_channel, test/test_tensorboard.py::TestTensorBoardSummary::test_list_input, test/test_tensorboard.py::TestTensorBoardSummary::test_mesh, test/test_tensorboard.py::TestTensorBoardSummary::test_scalar_new_style, test/test_tensorboard.py::TestTensorBoardSummary::test_text, test/test_tensorboard.py::TestTensorBoardSummary::test_uint8_image, test/test_tensorboard.py::TestTensorBoardSummary::test_video, test/test_tensorboard.py::TestTensorBoardPytorchGraph::test_mlp_graph, test/test_tensorboard.py::TestTensorBoardPytorchGraph::test_nested_nn_squential, test/test_tensorboard.py::TestTensorBoardPytorchGraph::test_pytorch_graph, test/test_tensorboard.py::TestTensorBoardPytorchGraph::test_pytorch_graph_dict_input, test/test_tensorboard.py::TestTensorBoardPytorchGraph::test_torchvision_smoke, test/test_tensorboard.py::TestTensorBoardPytorchGraph::test_wrong_input_size, test/test_tensorboard.py::TestTensorBoardFigure::test_figure, test/test_tensorboard.py::TestTensorBoardFigure::test_figure_list, test/test_tensorboard.py::TestTensorBoardNumpy::test_pytorch_np_expect_fail, test/test_tensorboard.py::TestTensorBoardNumpy::test_scalar, test/test_tensorboard.py::TestTensorProtoSummary::test_complex_tensor_proto, test/test_tensorboard.py::TestTensorProtoSummary::test_empty_tensor_proto, test/test_tensorboard.py::TestTensorProtoSummary::test_float_tensor_proto, test/test_tensorboard.py::TestTensorProtoSummary::test_half_tensor_proto_bfloat16_proto_type_14, test/test_tensorboard.py::TestTensorProtoSummary::test_half_tensor_proto_float16_proto_type_19, test/test_tensorboard.py::TestTensorProtoSummary::test_int_tensor_proto, test/test_tensorboard.py::TestTensorProtoSummary::test_scalar_tensor_proto
2025-03-14T05:18:05.1755943Z 
2025-03-14T05:18:09.0014091Z Running test_import_stats 1/1 ... [2025-03-14 05:18:09.001026]
2025-03-14T05:18:09.0014714Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:18:09.0017910Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_import_stats.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'] ... [2025-03-14 05:18:09.001383]
2025-03-14T05:18:15.8304004Z 
2025-03-14T05:18:15.8305376Z test_import_stats 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_import_stats_1.1_45a7911dd28d4e61_.log
2025-03-14T05:18:15.8307719Z Running 2 items in this shard: test/test_import_stats.py::TestImportTime::test_time_cuda_device_count, test/test_import_stats.py::TestImportTime::test_time_import_torch
2025-03-14T05:18:15.8309143Z 
2025-03-14T05:18:20.0976796Z Running test_sympy_utils 1/1 ... [2025-03-14 05:18:20.097129]
2025-03-14T05:18:20.0977564Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:18:20.0981500Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_sympy_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'] ... [2025-03-14 05:18:20.097585]
2025-03-14T05:18:43.7127280Z 
2025-03-14T05:18:43.7128639Z test_sympy_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sympy_utils_1.1_baefe469e6a49d48_.log
2025-03-14T05:18:43.7251436Z Running 205 items in this shard: test/test_sympy_utils.py::TestNumbers::test_float_cast, test/test_sympy_utils.py::TestNumbers::test_int_infinity, test/test_sympy_utils.py::TestNumbers::test_lt_self, test/test_sympy_utils.py::TestNumbers::test_mixed_oo_int_oo, test/test_sympy_utils.py::TestNumbers::test_relation, test/test_sympy_utils.py::TestValueRanges::test_binary_bool_ref_range_fn_and_, test/test_sympy_utils.py::TestValueRanges::test_binary_bool_ref_range_fn_bitwise_and, test/test_sympy_utils.py::TestValueRanges::test_binary_bool_ref_range_fn_bitwise_or, test/test_sympy_utils.py::TestValueRanges::test_binary_bool_ref_range_fn_or_, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_add_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_add_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_bitwise_and_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_bitwise_and_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_bitwise_or_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_bitwise_or_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_floordiv_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_floordiv_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_maximum_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_maximum_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_minimum_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_minimum_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_mod_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_mod_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_mul_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_mul_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_pow_by_natural_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_pow_by_natural_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_pow_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_pow_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_sub_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_sub_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_truediv_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_truediv_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_add, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_bitwise_and, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_bitwise_or, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_eq, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_floordiv, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_ge, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_gt, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_le, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_lt, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_maximum, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_minimum, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_mod, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_mul, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_ne, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_pow, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_pow_by_natural, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_sub, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_truediv, test/test_sympy_utils.py::TestValueRanges::test_bitwise_ref_range_fn_bitwise_and, test/test_sympy_utils.py::TestValueRanges::test_bitwise_ref_range_fn_bitwise_or, test/test_sympy_utils.py::TestValueRanges::test_mul_zero_unknown, test/test_sympy_utils.py::TestValueRanges::test_pow_half, test/test_sympy_utils.py::TestValueRanges::test_unary_bool_ref_range_fn_not_, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_abs_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_abs_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_ceil_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_ceil_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_exp_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_exp_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_floor_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_floor_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_log_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_log_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_neg_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_neg_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_reciprocal_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_reciprocal_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_sqrt_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_sqrt_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_square_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_square_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_range_fn_abs, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_range_fn_ceil, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_range_fn_exp, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_range_fn_floor, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_range_fn_log, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_range_fn_neg, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_range_fn_reciprocal, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_range_fn_sqrt, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_range_fn_square, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_abs, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_add, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_and_, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_bitwise_and, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_bitwise_or, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_ceil, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_eq, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_exp, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_floor, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_floordiv, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_ge, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_gt, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_le, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_log, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_lt, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_maximum, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_minimum, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_mod, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_mul, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_ne, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_neg, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_not_, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_or_, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_pow, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_pow_by_natural, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_reciprocal, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_sqrt, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_square, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_sub, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_truediv, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_abs, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_add, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_and_, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_bitwise_and, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_bitwise_or, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_ceil, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_eq, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_exp, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_floor, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_floordiv, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_ge, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_gt, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_le, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_log, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_lt, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_maximum, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_minimum, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_mod, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_mul, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_ne, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_neg, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_not_, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_or_, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_pow, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_pow_by_natural, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_reciprocal, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_sqrt, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_square, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_sub, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_truediv, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_abs, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_add, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_and_, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_bitwise_and, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_bitwise_or, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_ceil, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_eq, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_exp, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_floor, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_floordiv, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_ge, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_gt, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_le, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_log, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_lt, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_maximum, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_minimum, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_mod, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_mul, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_ne, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_neg, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_not_, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_or_, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_pow, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_pow_by_natural, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_reciprocal, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_sqrt, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_square, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_sub, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_truediv, test/test_sympy_utils.py::TestSympySolve::test_addition, test/test_sympy_utils.py::TestSympySolve::test_floordiv_Equality, test/test_sympy_utils.py::TestSympySolve::test_floordiv_GreaterThan, test/test_sympy_utils.py::TestSympySolve::test_floordiv_LessThan, test/test_sympy_utils.py::TestSympySolve::test_floordiv_StrictGreaterThan, test/test_sympy_utils.py::TestSympySolve::test_floordiv_StrictLessThan, test/test_sympy_utils.py::TestSympySolve::test_floordiv_Unequality, test/test_sympy_utils.py::TestSympySolve::test_floordiv_eq_simplify, test/test_sympy_utils.py::TestSympySolve::test_give_up, test/test_sympy_utils.py::TestSympySolve::test_multiplication_division_Equality, test/test_sympy_utils.py::TestSympySolve::test_multiplication_division_Unequality, test/test_sympy_utils.py::TestSympySolve::test_multiplication_division_inequality_GreaterThan, test/test_sympy_utils.py::TestSympySolve::test_multiplication_division_inequality_LessThan, test/test_sympy_utils.py::TestSympySolve::test_multiplication_division_inequality_StrictGreaterThan, test/test_sympy_utils.py::TestSympySolve::test_multiplication_division_inequality_StrictLessThan, test/test_sympy_utils.py::TestSympySolve::test_noop_Equality, test/test_sympy_utils.py::TestSympySolve::test_noop_GreaterThan, test/test_sympy_utils.py::TestSympySolve::test_noop_LessThan, test/test_sympy_utils.py::TestSympySolve::test_noop_StrictGreaterThan, test/test_sympy_utils.py::TestSympySolve::test_noop_StrictLessThan, test/test_sympy_utils.py::TestSympySolve::test_noop_Unequality, test/test_sympy_utils.py::TestSympySolve::test_noop_rhs_Equality, test/test_sympy_utils.py::TestSympySolve::test_noop_rhs_GreaterThan, test/test_sympy_utils.py::TestSympySolve::test_noop_rhs_LessThan, test/test_sympy_utils.py::TestSympySolve::test_noop_rhs_StrictGreaterThan, test/test_sympy_utils.py::TestSympySolve::test_noop_rhs_StrictLessThan, test/test_sympy_utils.py::TestSympySolve::test_noop_rhs_Unequality, test/test_sympy_utils.py::TestSympySolve::test_simple_floordiv_gcd, test/test_sympy_utils.py::TestSympySolve::test_z3_proof_floordiv_eq_simplify, test/test_sympy_utils.py::TestSympyFunctions::test_pickle, test/test_sympy_utils.py::TestSingletonInt::test_basic, test/test_sympy_utils.py::TestIdentity::test_expand_identity
2025-03-14T05:18:43.7368175Z 
2025-03-14T05:18:47.3450404Z Running test_jit_llga_fuser 1/1 ... [2025-03-14 05:18:47.344634]
2025-03-14T05:18:47.3451941Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:18:47.3454179Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_jit_llga_fuser.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'] ... [2025-03-14 05:18:47.345056]
2025-03-14T05:19:36.3264842Z 
2025-03-14T05:19:36.3266822Z test_jit_llga_fuser 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_llga_fuser_1.1_42722fa89c9b848f_.log
2025-03-14T05:19:36.3328652Z Running 107 items in this shard: test/test_jit_llga_fuser.py::TestEnableDisableLlgaFuser::test_context_manager, test/test_jit_llga_fuser.py::TestDynamoAOT::test_dynamo_aot_ts_onednn, test/test_jit_llga_fuser.py::TestModel::test_vision_alexnet_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_alexnet_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_densenet121_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_densenet121_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_densenet161_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_densenet161_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_densenet169_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_densenet169_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_densenet201_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_densenet201_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b0_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b0_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b1_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b1_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b2_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b2_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b3_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b3_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b4_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b4_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b5_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b5_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b6_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b6_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b7_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b7_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_googlenet_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_googlenet_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_mnasnet1_0_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_mnasnet1_0_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_mobilenet_v2_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_mobilenet_v2_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_mobilenet_v3_large_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_mobilenet_v3_large_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_regnet_y_400mf_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_regnet_y_400mf_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_resnet50_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_resnet50_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_resnext101_32x8d_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_resnext101_32x8d_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_resnext50_32x4d_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_resnext50_32x4d_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_shufflenet_v2_x1_0_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_shufflenet_v2_x1_0_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_squeezenet1_0_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_squeezenet1_0_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_vgg16_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_vgg16_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_wide_resnet50_2_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_wide_resnet50_2_float32, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_bn2d_eltwise_cpu_bfloat16, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_bn2d_eltwise_cpu_float32, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_conv2d_bn_cpu_bfloat16, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_conv2d_bn_cpu_float32, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_conv2d_bn_relu_cpu_bfloat16, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_conv2d_bn_relu_cpu_float32, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_conv2d_clamp_cpu_bfloat16, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_conv2d_clamp_cpu_float32, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_conv2d_eltwise_cpu_bfloat16, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_conv2d_eltwise_cpu_float32, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_conv2d_silu_cpu_bfloat16, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_conv2d_silu_cpu_float32, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_conv2d_sum_cpu_bfloat16, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_conv2d_sum_cpu_float32, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_ensure_tensor_is_rewrapped_cpu_bfloat16, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_ensure_tensor_is_rewrapped_cpu_float32, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_linear_eltwise_cpu_bfloat16, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_linear_eltwise_cpu_float32, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_rewrap_tensor_input_to_pytorch_cpu_bfloat16, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_rewrap_tensor_input_to_pytorch_cpu_float32, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_wildcard_cpu_bfloat16, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_wildcard_cpu_float32, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_wildcard_unsupported_dtype_cpu_int32, test/test_jit_llga_fuser.py::TestOpCPU::test_add_cpu_bfloat16, test/test_jit_llga_fuser.py::TestOpCPU::test_add_cpu_float32, test/test_jit_llga_fuser.py::TestOpCPU::test_add_scalar_cpu_bfloat16, test/test_jit_llga_fuser.py::TestOpCPU::test_add_scalar_cpu_float32, test/test_jit_llga_fuser.py::TestOpCPU::test_addmm_cpu_bfloat16, test/test_jit_llga_fuser.py::TestOpCPU::test_addmm_cpu_float32, test/test_jit_llga_fuser.py::TestOpCPU::test_avg_pool2d_cpu_bfloat16, test/test_jit_llga_fuser.py::TestOpCPU::test_avg_pool2d_cpu_float32, test/test_jit_llga_fuser.py::TestOpCPU::test_bn2d_cpu_bfloat16, test/test_jit_llga_fuser.py::TestOpCPU::test_bn2d_cpu_float32, test/test_jit_llga_fuser.py::TestOpCPU::test_cat_cpu_bfloat16, test/test_jit_llga_fuser.py::TestOpCPU::test_cat_cpu_float32, test/test_jit_llga_fuser.py::TestOpCPU::test_conv2d_cpu_bfloat16, test/test_jit_llga_fuser.py::TestOpCPU::test_conv2d_cpu_float32, test/test_jit_llga_fuser.py::TestOpCPU::test_eltwise_cpu_bfloat16, test/test_jit_llga_fuser.py::TestOpCPU::test_eltwise_cpu_float32, test/test_jit_llga_fuser.py::TestOpCPU::test_identity_binary_cpu_bfloat16, test/test_jit_llga_fuser.py::TestOpCPU::test_identity_binary_cpu_float32, test/test_jit_llga_fuser.py::TestOpCPU::test_layer_norm_cpu_bfloat16, test/test_jit_llga_fuser.py::TestOpCPU::test_layer_norm_cpu_float32, test/test_jit_llga_fuser.py::TestOpCPU::test_linear_cpu_bfloat16, test/test_jit_llga_fuser.py::TestOpCPU::test_linear_cpu_float32, test/test_jit_llga_fuser.py::TestOpCPU::test_max_pool2d_cpu_bfloat16, test/test_jit_llga_fuser.py::TestOpCPU::test_max_pool2d_cpu_float32, test/test_jit_llga_fuser.py::TestOpCPU::test_mul_cpu_bfloat16, test/test_jit_llga_fuser.py::TestOpCPU::test_mul_cpu_float32, test/test_jit_llga_fuser.py::TestOpCPU::test_softmax_cpu_bfloat16, test/test_jit_llga_fuser.py::TestOpCPU::test_softmax_cpu_float32, test/test_jit_llga_fuser.py::TestOpCPU::test_typecheck_cpu_bfloat16, test/test_jit_llga_fuser.py::TestOpCPU::test_typecheck_cpu_float32, test/test_jit_llga_fuser.py::TestOpCPU::test_variable_kernel_avg_pool2d_cpu_bfloat16, test/test_jit_llga_fuser.py::TestOpCPU::test_variable_kernel_avg_pool2d_cpu_float32
2025-03-14T05:19:36.3390382Z 
2025-03-14T05:19:39.9591908Z Running optim/test_lrscheduler 1/1 ... [2025-03-14 05:19:39.958765]
2025-03-14T05:19:39.9592487Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:19:39.9594599Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'optim/test_lrscheduler.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'] ... [2025-03-14 05:19:39.959156]
2025-03-14T05:19:43.4879538Z 
2025-03-14T05:19:43.4881043Z optim/test_lrscheduler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_lrscheduler_1.1_f3d12de746293120_.log
2025-03-14T05:19:43.4882395Z 
2025-03-14T05:19:47.1129177Z Running torch_np/numpy_tests/lib/test_function_base 1/1 ... [2025-03-14 05:19:47.112474]
2025-03-14T05:19:47.1130117Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:19:47.1132519Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 05:19:47.112888]
2025-03-14T05:19:53.2862465Z 
2025-03-14T05:19:53.2864366Z 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_eb3b015002c22098_.log
2025-03-14T05:19:53.3269956Z 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, 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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, 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test/torch_np/numpy_tests/lib/test_function_base.py::TestSortComplex::test_sort_real_type_in_l_type_out_D
2025-03-14T05:19:53.3484778Z 
2025-03-14T05:19:56.9201852Z Running torch_np/test_ufuncs_basic 1/1 ... [2025-03-14 05:19:56.919714]
2025-03-14T05:19:56.9203054Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:19:56.9205488Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/test_ufuncs_basic.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'] ... [2025-03-14 05:19:56.920112]
2025-03-14T05:20:01.8945251Z 
2025-03-14T05:20:01.8946517Z torch_np/test_ufuncs_basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_ufuncs_basic_1.1_1c27d7ee254460a3_.log
2025-03-14T05:20:01.9124265Z Running 371 items in this shard: test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_scalar_ufunc0, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_equiv_ufunc0_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_equiv_ufunc0_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_equiv_ufunc0_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_no_ufunc0_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_no_ufunc0_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_no_ufunc0_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_safe_ufunc0_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_safe_ufunc0_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_safe_ufunc0_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_same_kind_ufunc0_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_same_kind_ufunc0_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_same_kind_ufunc0_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_unsafe_ufunc0_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_unsafe_ufunc0_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_unsafe_ufunc0_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_ufunc0, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_broadcast_ufunc0, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_equiv_ufunc0_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_equiv_ufunc0_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_equiv_ufunc0_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_no_ufunc0_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_no_ufunc0_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_no_ufunc0_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_safe_ufunc0_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_safe_ufunc0_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_safe_ufunc0_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_same_kind_ufunc0_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_same_kind_ufunc0_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_same_kind_ufunc0_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_unsafe_ufunc0_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_unsafe_ufunc0_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_unsafe_ufunc0_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc0, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc1, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc10, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc11, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc12, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc13, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc14, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc15, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc16, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc2, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc3, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc4, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc5, 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test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc16, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc2, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc3, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc4, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc5, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc6, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc7, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc8, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc9, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_broadcast_ufunc0, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_broadcast_ufunc1, 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test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc3_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc3_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc4_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc4_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc4_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc5_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc5_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc5_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc6_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc6_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc6_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc7_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc7_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc7_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc8_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc8_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc8_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc9_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc9_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc9_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc0_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc0_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc0_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc10_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc10_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc10_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc11_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc11_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc11_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc12_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc12_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc12_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc13_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc13_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc13_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc14_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc14_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc14_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc15_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc15_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc15_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc16_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc16_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc16_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc1_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc1_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc1_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc2_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc2_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc2_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc3_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc3_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc3_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc4_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc4_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc4_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc5_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc5_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc5_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc6_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc6_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc6_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc7_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc7_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc7_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc8_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc8_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc8_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc9_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc9_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc9_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc0_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc0_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc0_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc10_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc10_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc10_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc11_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc11_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc11_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc12_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc12_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc12_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc13_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc13_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc13_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc14_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc14_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc14_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc15_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc15_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc15_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc16_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc16_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc16_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc1_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc1_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc1_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc2_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc2_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc2_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc3_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc3_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc3_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc4_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc4_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc4_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc5_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc5_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc5_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc6_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc6_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc6_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc7_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc7_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc7_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc8_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc8_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc8_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc9_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc9_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc9_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_basic_ufunc0_op0_iop0, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_basic_ufunc1_op1_iop1, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_basic_ufunc2_op2_iop2, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_bcast_ufunc0_op0_iop0, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_bcast_ufunc1_op1_iop1, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_bcast_ufunc2_op2_iop2, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc0_op0_iop0_other_dtype0, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc0_op0_iop0_other_dtype1, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc0_op0_iop0_other_dtype2, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc0_op0_iop0_other_dtype3, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc1_op1_iop1_other_dtype0, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc1_op1_iop1_other_dtype1, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc1_op1_iop1_other_dtype2, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc1_op1_iop1_other_dtype3, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc2_op2_iop2_other_dtype0, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc2_op2_iop2_other_dtype1, 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2025-03-14T05:20:01.9294550Z 
2025-03-14T05:20:05.5820972Z Running torch_np/numpy_tests/lib/test_histograms 1/1 ... [2025-03-14 05:20:05.581637]
2025-03-14T05:20:05.5821823Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:20:05.5823276Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_histograms.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'] ... [2025-03-14 05:20:05.582012]
2025-03-14T05:20:06.7904631Z 
2025-03-14T05:20:06.7906178Z 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_aac99cfd5ee33bed_.log
2025-03-14T05:20:07.0790868Z Running 6851 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, 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test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_floor_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_fmod_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_ge_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_gt_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_half_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_int_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_isnan_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_le_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_lerp_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_lgamma_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_log10_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_log1p_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_log2_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_log_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_long_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_lt_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_masked_fill_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_max_binary_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_mean_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_min_binary_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_mm_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_mul_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_ne_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_neg_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_nn_functional_hardshrink_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_nn_functional_hardsigmoid_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_nn_functional_hardswish_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_nn_functional_hardtanh_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_nn_functional_leaky_relu_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_nn_functional_relu6_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_nn_functional_relu_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_nn_functional_softplus_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_nn_functional_softsign_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_nn_functional_tanhshrink_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_nn_functional_threshold_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_permute_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_pow_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_reciprocal_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_remainder_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_reshape_as_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_reshape_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_round_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_rsqrt_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_rsub_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_short_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_sigmoid_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_sign_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_sin_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_sinh_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_sqrt_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_sub_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_sum_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_t_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_tan_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_tanh_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_transpose_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_true_divide_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_trunc_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_unsqueeze_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_view_as_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_view_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_where_cpu_float32, test/test_jit_fuser_te.py::TestLoopnestRandomizationCPU::test_relu_cpu
2025-03-14T05:20:07.3311119Z 
2025-03-14T05:20:09.9090210Z 
2025-03-14T05:20:09.9091738Z torch_np/numpy_tests/lib/test_histograms 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_histograms_1.1_5ac63f17d0af6603_.log
2025-03-14T05:20:09.9117194Z Running 60 items in this shard: test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_arr_weights_mismatch, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_big_arrays, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_bin_array_dims, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_bin_edge_cases, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_bool_conversion, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_density, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_empty, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_error_binnum_type, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_exotic_weights, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_f32_rounding, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_finite_range, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_histogram_bin_edges, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_invalid_range, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_last_bin_inclusive_range, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_no_side_effects, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_object_array_of_0d, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_one_bin, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_outliers, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_precision, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_signed_overflow_bounds, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_signed_overflow_bounds_2, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_simple, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_some_nan_values, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_type, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_unsigned_monotonicity_check, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_weights, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_empty, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_incorrect_methods, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_limited_variance, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_novariance, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_outlier, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_scott_vs_stone, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_signed_integer_data_bins_auto, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_signed_integer_data_bins_doane, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_signed_integer_data_bins_fd, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_signed_integer_data_bins_rice, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_signed_integer_data_bins_scott, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_signed_integer_data_bins_stone, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_signed_integer_data_bins_sturges, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_simple, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_simple_range, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_simple_weighted, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_small, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_bins_array, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_bins_error_2, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_bins_errors, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_density_non_uniform_1d, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_density_non_uniform_2d, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_edge_dtype, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_empty, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_equal_edges, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_finite_range, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_identical_samples, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_inf_edges, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_large_integers, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_rightmost_binedge, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_shape_3d, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_shape_4d, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_simple, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_weights
2025-03-14T05:20:09.9141124Z 
2025-03-14T05:20:10.5131323Z Running benchmark_utils/test_benchmark_utils 1/1 ... [2025-03-14 05:20:10.512698]
2025-03-14T05:20:10.5132247Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:20:10.5134912Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'benchmark_utils/test_benchmark_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'] ... [2025-03-14 05:20:10.513121]
2025-03-14T05:20:13.5779798Z Running test_indexing 1/1 ... [2025-03-14 05:20:13.577528]
2025-03-14T05:20:13.5781054Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:20:13.5785437Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_indexing.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'] ... [2025-03-14 05:20:13.577959]
2025-03-14T05:20:14.5830779Z 
2025-03-14T05:20:14.5832393Z benchmark_utils/test_benchmark_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/benchmark_utils.test_benchmark_utils_1.1_45dbd6b58b3ecc42_.log
2025-03-14T05:20:14.5837022Z Running 9 items in this shard: test/benchmark_utils/test_benchmark_utils.py::TestBenchmarkUtils::test_adaptive_timer, test/benchmark_utils/test_benchmark_utils.py::TestBenchmarkUtils::test_collect_callgrind, test/benchmark_utils/test_benchmark_utils.py::TestBenchmarkUtils::test_collect_cpp_callgrind, test/benchmark_utils/test_benchmark_utils.py::TestBenchmarkUtils::test_compare, test/benchmark_utils/test_benchmark_utils.py::TestBenchmarkUtils::test_cpp_timer, test/benchmark_utils/test_benchmark_utils.py::TestBenchmarkUtils::test_fuzzer, test/benchmark_utils/test_benchmark_utils.py::TestBenchmarkUtils::test_manipulate_callgrind_stats, test/benchmark_utils/test_benchmark_utils.py::TestBenchmarkUtils::test_timer, test/benchmark_utils/test_benchmark_utils.py::TestBenchmarkUtils::test_timer_tiny_fast_snippet
2025-03-14T05:20:14.5840754Z 
2025-03-14T05:20:18.4374244Z Running test_sparse_csr 1/1 ... [2025-03-14 05:20:18.436937]
2025-03-14T05:20:18.4374952Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:20:18.4379238Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_sparse_csr.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'] ... [2025-03-14 05:20:18.437345]
2025-03-14T05:20:19.4550582Z 
2025-03-14T05:20:19.4551797Z test_indexing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_indexing_1.1_d79564f71f00fa26_.log
2025-03-14T05:20:19.4581071Z Running 88 items in this shard: test/test_indexing.py::TestIndexingCPU::test_advancedindex_big_cpu, test/test_indexing.py::TestIndexingCPU::test_advancedindex_cpu_float16, test/test_indexing.py::TestIndexingCPU::test_advancedindex_cpu_float64, test/test_indexing.py::TestIndexingCPU::test_basic_advanced_combined_cpu, test/test_indexing.py::TestIndexingCPU::test_bool_indices_accumulate_cpu, test/test_indexing.py::TestIndexingCPU::test_bool_indices_cpu, test/test_indexing.py::TestIndexingCPU::test_byte_mask2d_cpu, test/test_indexing.py::TestIndexingCPU::test_byte_mask_accumulate_cpu, test/test_indexing.py::TestIndexingCPU::test_byte_mask_cpu, test/test_indexing.py::TestIndexingCPU::test_byte_tensor_assignment_cpu, test/test_indexing.py::TestIndexingCPU::test_cpu_indices_cpu, test/test_indexing.py::TestIndexingCPU::test_cuda_broadcast_index_use_deterministic_algorithms_cpu, test/test_indexing.py::TestIndexingCPU::test_ellipsis_tensor_cpu, test/test_indexing.py::TestIndexingCPU::test_empty_index_cpu, test/test_indexing.py::TestIndexingCPU::test_empty_ndim_index_bool_cpu, test/test_indexing.py::TestIndexingCPU::test_empty_ndim_index_cpu, test/test_indexing.py::TestIndexingCPU::test_empty_slice_cpu, test/test_indexing.py::TestIndexingCPU::test_gather_take_along_dim_cross_device_cpu_float32, test/test_indexing.py::TestIndexingCPU::test_getitem_scalars_cpu, test/test_indexing.py::TestIndexingCPU::test_index_cpu, test/test_indexing.py::TestIndexingCPU::test_index_getitem_copy_bools_slices_cpu, test/test_indexing.py::TestIndexingCPU::test_index_ind_dtype_cpu, test/test_indexing.py::TestIndexingCPU::test_index_limits_cpu, test/test_indexing.py::TestIndexingCPU::test_index_put_accumulate_duplicate_indices_cpu, test/test_indexing.py::TestIndexingCPU::test_index_put_accumulate_empty_cpu, test/test_indexing.py::TestIndexingCPU::test_index_put_accumulate_expanded_values_cpu, test/test_indexing.py::TestIndexingCPU::test_index_put_accumulate_large_tensor_cpu, test/test_indexing.py::TestIndexingCPU::test_index_put_accumulate_non_contiguous_cpu, test/test_indexing.py::TestIndexingCPU::test_index_put_accumulate_with_optional_tensors_cpu, test/test_indexing.py::TestIndexingCPU::test_index_put_large_indices_cpu, test/test_indexing.py::TestIndexingCPU::test_index_put_src_datatype_cpu_bfloat16, test/test_indexing.py::TestIndexingCPU::test_index_put_src_datatype_cpu_bool, test/test_indexing.py::TestIndexingCPU::test_index_put_src_datatype_cpu_complex128, test/test_indexing.py::TestIndexingCPU::test_index_put_src_datatype_cpu_complex64, test/test_indexing.py::TestIndexingCPU::test_index_put_src_datatype_cpu_float32, test/test_indexing.py::TestIndexingCPU::test_index_put_src_datatype_cpu_int64, test/test_indexing.py::TestIndexingCPU::test_index_scalar_with_bool_mask_cpu, test/test_indexing.py::TestIndexingCPU::test_index_setitem_bools_slices_cpu, test/test_indexing.py::TestIndexingCPU::test_index_src_datatype_cpu_bfloat16, test/test_indexing.py::TestIndexingCPU::test_index_src_datatype_cpu_bool, test/test_indexing.py::TestIndexingCPU::test_index_src_datatype_cpu_float32, test/test_indexing.py::TestIndexingCPU::test_index_src_datatype_cpu_int64, test/test_indexing.py::TestIndexingCPU::test_int_assignment_cpu, test/test_indexing.py::TestIndexingCPU::test_int_indices2d_cpu, test/test_indexing.py::TestIndexingCPU::test_int_indices_broadcast_cpu, test/test_indexing.py::TestIndexingCPU::test_int_indices_cpu, test/test_indexing.py::TestIndexingCPU::test_invalid_device_cpu, test/test_indexing.py::TestIndexingCPU::test_invalid_index_cpu, test/test_indexing.py::TestIndexingCPU::test_jit_indexing_cpu, test/test_indexing.py::TestIndexingCPU::test_multiple_bool_indices_cpu, test/test_indexing.py::TestIndexingCPU::test_multiple_byte_mask_cpu, test/test_indexing.py::TestIndexingCPU::test_multiple_int_cpu, test/test_indexing.py::TestIndexingCPU::test_none_cpu, test/test_indexing.py::TestIndexingCPU::test_out_of_bound_index_cpu, test/test_indexing.py::TestIndexingCPU::test_set_item_to_scalar_tensor_cpu, test/test_indexing.py::TestIndexingCPU::test_setitem_expansion_error_cpu, test/test_indexing.py::TestIndexingCPU::test_setitem_scalars_cpu, test/test_indexing.py::TestIndexingCPU::test_single_int_cpu, test/test_indexing.py::TestIndexingCPU::test_step_assignment_cpu, test/test_indexing.py::TestIndexingCPU::test_step_cpu, test/test_indexing.py::TestIndexingCPU::test_take_along_dim_cpu_float32, test/test_indexing.py::TestIndexingCPU::test_take_along_dim_cpu_int64, test/test_indexing.py::TestIndexingCPU::test_take_along_dim_invalid_cpu_float32, test/test_indexing.py::TestIndexingCPU::test_take_along_dim_invalid_cpu_int64, test/test_indexing.py::TestIndexingCPU::test_unravel_index_errors_cpu, test/test_indexing.py::TestIndexingCPU::test_variable_slicing_cpu, test/test_indexing.py::TestIndexingCPU::test_zero_dim_index_cpu, test/test_indexing.py::NumpyTestsCPU::test_boolean_assignment_value_mismatch_cpu, test/test_indexing.py::NumpyTestsCPU::test_boolean_indexing_alldims_cpu, test/test_indexing.py::NumpyTestsCPU::test_boolean_indexing_onedim_cpu, test/test_indexing.py::NumpyTestsCPU::test_boolean_indexing_twodim_cpu, test/test_indexing.py::NumpyTestsCPU::test_boolean_indexing_weirdness_cpu, test/test_indexing.py::NumpyTestsCPU::test_boolean_indexing_weirdness_tensors_cpu, test/test_indexing.py::NumpyTestsCPU::test_boolean_list_indexing_cpu, test/test_indexing.py::NumpyTestsCPU::test_boolean_shape_mismatch_cpu, test/test_indexing.py::NumpyTestsCPU::test_broadcast_subspace_cpu, test/test_indexing.py::NumpyTestsCPU::test_broaderrors_indexing_cpu, test/test_indexing.py::NumpyTestsCPU::test_ellipsis_index_cpu, test/test_indexing.py::NumpyTestsCPU::test_empty_fancy_index_cpu, test/test_indexing.py::NumpyTestsCPU::test_empty_tuple_index_cpu, test/test_indexing.py::NumpyTestsCPU::test_everything_returns_views_cpu, test/test_indexing.py::NumpyTestsCPU::test_index_is_larger_cpu, test/test_indexing.py::NumpyTestsCPU::test_index_no_floats_cpu, test/test_indexing.py::NumpyTestsCPU::test_none_index_cpu, test/test_indexing.py::NumpyTestsCPU::test_single_bool_index_cpu, test/test_indexing.py::NumpyTestsCPU::test_single_int_index_cpu, test/test_indexing.py::NumpyTestsCPU::test_trivial_fancy_out_of_bounds_cpu, test/test_indexing.py::NumpyTestsCPU::test_truncate_leading_1s_cpu
2025-03-14T05:20:19.4608292Z 
2025-03-14T05:20:23.8118048Z Running optim/test_swa_utils 1/1 ... [2025-03-14 05:20:23.811323]
2025-03-14T05:20:23.8119181Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:20:23.8123257Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'optim/test_swa_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'] ... [2025-03-14 05:20:23.811864]
2025-03-14T05:20:28.8090479Z 
2025-03-14T05:20:28.8097926Z optim/test_swa_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_swa_utils_1.1_2438aa4da4f85092_.log
2025-03-14T05:20:28.8107049Z 
2025-03-14T05:20:33.9857041Z Running torch_np/numpy_tests/core/test_indexing 1/1 ... [2025-03-14 05:20:33.985071]
2025-03-14T05:20:33.9858051Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:20:33.9863571Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/core/test_indexing.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'] ... [2025-03-14 05:20:33.985855]
2025-03-14T05:20:40.2722332Z 
2025-03-14T05:20:40.2725149Z torch_np/numpy_tests/core/test_indexing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_indexing_1.1_c3d8e07ca87d3790_.log
2025-03-14T05:20:40.2786149Z Running 67 items in this shard: test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_boolean_assignment_value_mismatch, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_boolean_indexing_list, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_boolean_indexing_onedim, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_boolean_indexing_twodim, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_boolean_shape_mismatch, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_broaderrors_indexing, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_broken_sequence_not_nd_index, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_ellipsis_index, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_ellipsis_index_2, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_empty_fancy_index, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_empty_tuple_index, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_everything_returns_views, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_index_no_array_to_index, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_index_no_floats, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_indexing_array_negative_strides, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_indexing_array_weird_strides, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_memory_order, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_none_index, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_nontuple_ndindex, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_reverse_strides_and_subspace_bufferinit, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_reversed_strides_result_allocation, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_same_kind_index_casting, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_scalar_array_bool, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_single_bool_index, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_single_int_index, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_slicing_no_floats, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_small_regressions, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index2_num_32_original_ndim_1, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index2_num_32_original_ndim_32, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index2_num_40_original_ndim_1, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index2_num_40_original_ndim_32, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index_False_num_32_original_ndim_1, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index_False_num_32_original_ndim_32, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index_False_num_40_original_ndim_1, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index_False_num_40_original_ndim_32, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index_True_num_32_original_ndim_1, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index_True_num_32_original_ndim_32, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index_True_num_40_original_ndim_1, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index_True_num_40_original_ndim_32, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_fancy_indices_special_case, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_trivial_fancy_not_possible, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_trivial_fancy_out_of_bounds, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_tuple_subclass, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_uncontiguous_subspace_assignment, test/torch_np/numpy_tests/core/test_indexing.py::TestBroadcastedAssignments::test_broadcast_error_reports_correct_shape_index0, test/torch_np/numpy_tests/core/test_indexing.py::TestBroadcastedAssignments::test_broadcast_error_reports_correct_shape_index1, test/torch_np/numpy_tests/core/test_indexing.py::TestBroadcastedAssignments::test_broadcast_error_reports_correct_shape_index2, test/torch_np/numpy_tests/core/test_indexing.py::TestBroadcastedAssignments::test_broadcast_subspace, test/torch_np/numpy_tests/core/test_indexing.py::TestBroadcastedAssignments::test_index_is_larger, test/torch_np/numpy_tests/core/test_indexing.py::TestBroadcastedAssignments::test_prepend_not_one, test/torch_np/numpy_tests/core/test_indexing.py::TestBroadcastedAssignments::test_prepending_ones, test/torch_np/numpy_tests/core/test_indexing.py::TestBroadcastedAssignments::test_simple_broadcasting_errors, test/torch_np/numpy_tests/core/test_indexing.py::TestFancyIndexingCast::test_boolean_index_cast_assign, test/torch_np/numpy_tests/core/test_indexing.py::TestMultiIndexingAutomated::test_1d, test/torch_np/numpy_tests/core/test_indexing.py::TestMultiIndexingAutomated::test_boolean, test/torch_np/numpy_tests/core/test_indexing.py::TestMultiIndexingAutomated::test_multidim, test/torch_np/numpy_tests/core/test_indexing.py::TestFloatNonIntegerArgument::test_non_integer_argument_errors, test/torch_np/numpy_tests/core/test_indexing.py::TestFloatNonIntegerArgument::test_non_integer_sequence_multiplication, test/torch_np/numpy_tests/core/test_indexing.py::TestFloatNonIntegerArgument::test_reduce_axis_float_index, test/torch_np/numpy_tests/core/test_indexing.py::TestFloatNonIntegerArgument::test_valid_indexing, test/torch_np/numpy_tests/core/test_indexing.py::TestFloatNonIntegerArgument::test_valid_slicing, test/torch_np/numpy_tests/core/test_indexing.py::TestBooleanIndexing::test_bool_as_int_argument_errors, test/torch_np/numpy_tests/core/test_indexing.py::TestBooleanIndexing::test_boolean_indexing_fast_path, test/torch_np/numpy_tests/core/test_indexing.py::TestBooleanIndexing::test_boolean_indexing_weirdness, test/torch_np/numpy_tests/core/test_indexing.py::TestArrayToIndexDeprecation::test_array_to_index_error, test/torch_np/numpy_tests/core/test_indexing.py::TestNonIntegerArrayLike::test_basic, test/torch_np/numpy_tests/core/test_indexing.py::TestMultipleEllipsisError::test_basic
2025-03-14T05:20:40.2844595Z 
2025-03-14T05:20:43.9112941Z Running torch_np/numpy_tests/linalg/test_linalg 1/1 ... [2025-03-14 05:20:43.910719]
2025-03-14T05:20:43.9113912Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:20:43.9119479Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/linalg/test_linalg.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'] ... [2025-03-14 05:20:43.911149]
2025-03-14T05:20:57.3836622Z 
2025-03-14T05:20:57.3837943Z torch_np/numpy_tests/linalg/test_linalg 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.linalg.test_linalg_1.1_e470c6474cf456df_.log
2025-03-14T05:20:57.3941715Z Running 268 items in this shard: test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_0_size, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_0_size_k, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_generalized_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_generalized_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_types_dtype0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_types_dtype1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_types_dtype2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_types_dtype3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestInv::test_0_size, test/torch_np/numpy_tests/linalg/test_linalg.py::TestInv::test_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestInv::test_generalized_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestInv::test_generalized_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestInv::test_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestInv::test_types_dtype0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestInv::test_types_dtype1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestInv::test_types_dtype2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestInv::test_types_dtype3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvals::test_0_size, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvals::test_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvals::test_generalized_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvals::test_generalized_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvals::test_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvals::test_types_dtype0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvals::test_types_dtype1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvals::test_types_dtype2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvals::test_types_dtype3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEig::test_0_size, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEig::test_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEig::test_generalized_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEig::test_generalized_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEig::test_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEig::test_types_dtype0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEig::test_types_dtype1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEig::test_types_dtype2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEig::test_types_dtype3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVD::test_empty_identity, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVD::test_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVD::test_generalized_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVD::test_generalized_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVD::test_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVD::test_types_dtype0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVD::test_types_dtype1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVD::test_types_dtype2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVD::test_types_dtype3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVDHermitian::test_empty_herm_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVDHermitian::test_generalized_empty_herm_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVDHermitian::test_generalized_herm_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVDHermitian::test_herm_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVDHermitian::test_types_dtype0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVDHermitian::test_types_dtype1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVDHermitian::test_types_dtype2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVDHermitian::test_types_dtype3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCond::test_basic_nonsvd, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCond::test_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCond::test_generalized_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCond::test_generalized_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCond::test_nan, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCond::test_singular, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCond::test_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCond::test_stacked_singular, test/torch_np/numpy_tests/linalg/test_linalg.py::TestPinv::test_empty_nonsq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestPinv::test_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestPinv::test_generalized_empty_nonsq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestPinv::test_generalized_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestPinv::test_generalized_nonsq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestPinv::test_generalized_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestPinv::test_nonsq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestPinv::test_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestPinvHermitian::test_empty_herm_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestPinvHermitian::test_generalized_empty_herm_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestPinvHermitian::test_generalized_herm_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestPinvHermitian::test_herm_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestDet::test_0_size, test/torch_np/numpy_tests/linalg/test_linalg.py::TestDet::test_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestDet::test_generalized_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestDet::test_generalized_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestDet::test_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestDet::test_types_dtype0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestDet::test_types_dtype1, 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test/torch_np/numpy_tests/linalg/test_linalg.py::TestTensorinv::test_non_square_handling_arr0_ind_2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestTensorinv::test_non_square_handling_arr1_ind_1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestTensorinv::test_tensorinv_ind_limit_ind_-2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestTensorinv::test_tensorinv_ind_limit_ind_0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestTensorinv::test_tensorinv_result, test/torch_np/numpy_tests/linalg/test_linalg.py::TestTensorinv::test_tensorinv_shape_shape0_ind_2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestTensorinv::test_tensorinv_shape_shape1_ind_1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestTensorsolve::test_non_square_handling_a0_axes0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestTensorsolve::test_non_square_handling_a1_axes1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestTensorsolve::test_tensorsolve_result_shape0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestTensorsolve::test_tensorsolve_result_shape1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestTensorsolve::test_tensorsolve_result_shape2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestMisc2::test_blas64_dot, test/torch_np/numpy_tests/linalg/test_linalg.py::TestMisc2::test_blas64_geqrf_lwork_smoketest, test/torch_np/numpy_tests/linalg/test_linalg.py::TestMisc2::test_unsupported_commontype
2025-03-14T05:20:57.4041848Z 
2025-03-14T05:21:01.3840114Z Running export/test_sparse 1/1 ... [2025-03-14 05:21:01.383438]
2025-03-14T05:21:01.3842346Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:21:01.3926825Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_sparse.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'] ... [2025-03-14 05:21:01.383903]
2025-03-14T05:21:06.1603632Z 
2025-03-14T05:21:06.1604923Z export/test_sparse 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_sparse_1.1_f67c3718bc9884c3_.log
2025-03-14T05:21:06.1681720Z Running 203 items in this shard: test/export/test_sparse.py::TestSparseProp::test_activation_coo, test/export/test_sparse.py::TestSparseProp::test_activation_csr, test/export/test_sparse.py::TestSparseProp::test_add, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_bfloat16_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_bfloat16_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_bfloat16_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_bfloat16_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_bfloat16_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_bfloat16_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_bfloat16_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_bfloat16_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_bfloat16_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_bfloat16_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float16_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float16_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float16_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float16_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float16_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float16_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float16_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float16_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float16_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float16_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float32_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float32_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float32_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float32_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float32_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float32_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float32_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float32_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float32_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float32_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float64_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float64_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float64_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float64_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float64_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float64_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float64_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float64_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float64_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float64_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_int64_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_int64_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_int64_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_int64_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_int64_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_int64_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_int64_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_int64_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_int64_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_int64_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_idnet_bfloat16_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_idnet_bfloat16_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_idnet_bfloat16_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_idnet_bfloat16_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_idnet_bfloat16_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_idnet_bfloat16_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_idnet_bfloat16_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_idnet_bfloat16_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_idnet_bfloat16_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_idnet_bfloat16_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float16_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float16_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float16_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_idnet_float16_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float16_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float16_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float16_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float16_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_idnet_float16_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float16_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float32_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float32_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float32_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_idnet_float32_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float32_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float32_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float32_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float32_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_idnet_float32_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float32_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float64_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float64_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float64_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_idnet_float64_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float64_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float64_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float64_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float64_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_idnet_float64_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float64_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_idnet_int64_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_idnet_int64_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_idnet_int64_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_idnet_int64_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_idnet_int64_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_idnet_int64_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_idnet_int64_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_idnet_int64_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_idnet_int64_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_idnet_int64_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_bfloat16_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_bfloat16_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_bfloat16_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_sumnet_bfloat16_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_bfloat16_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_bfloat16_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_bfloat16_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_bfloat16_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_sumnet_bfloat16_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_bfloat16_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float16_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float16_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float16_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_sumnet_float16_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float16_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float16_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float16_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float16_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_sumnet_float16_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float16_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float32_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float32_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float32_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_sumnet_float32_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float32_int32_SparseCSR, 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test/export/test_sparse.py::TestSparseProp::test_todensenet_float16_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float16_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float16_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_todensenet_float16_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float16_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float16_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float16_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float16_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_todensenet_float16_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float16_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float32_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float32_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float32_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_todensenet_float32_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float32_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float32_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float32_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float32_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_todensenet_float32_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float32_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float64_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float64_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float64_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_todensenet_float64_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float64_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float64_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float64_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float64_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_todensenet_float64_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float64_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_int64_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_int64_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_int64_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_todensenet_int64_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_int64_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_int64_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_int64_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_int64_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_todensenet_int64_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_int64_int64_SparseCSR
2025-03-14T05:21:06.1754269Z 
2025-03-14T05:21:09.8406134Z Running lazy/test_generator 1/1 ... [2025-03-14 05:21:09.840030]
2025-03-14T05:21:09.8406967Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:21:09.8412715Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'lazy/test_generator.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'] ... [2025-03-14 05:21:09.840411]
2025-03-14T05:21:14.5131900Z 
2025-03-14T05:21:14.5133676Z lazy/test_generator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_generator_1.1_1a45cd0e66b94641_.log
2025-03-14T05:21:14.5137339Z Running 2 items in this shard: test/lazy/test_generator.py::LazyGeneratorTest::test_generator, test/lazy/test_generator.py::LazyGeneratorTest::test_generator_causes_multiple_compiles
2025-03-14T05:21:14.5138929Z 
2025-03-14T05:21:19.3302570Z Running test_datapipe 1/1 ... [2025-03-14 05:21:19.329668]
2025-03-14T05:21:19.3303427Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:21:19.3309875Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 05:21:19.330097]
2025-03-14T05:21:41.5889735Z 
2025-03-14T05:21:41.5891211Z test_datapipe 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_datapipe_1.1_ba530692abbfccb9_.log
2025-03-14T05:21:41.5956281Z 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
2025-03-14T05:21:41.6012322Z 
2025-03-14T05:21:45.7316996Z Running test_testing 1/1 ... [2025-03-14 05:21:45.731142]
2025-03-14T05:21:45.7317978Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:21:45.7320897Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_testing.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'] ... [2025-03-14 05:21:45.731581]
2025-03-14T05:22:37.4040750Z 
2025-03-14T05:22:37.4067739Z test_testing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_testing_1.1_d86e6e25ec94a3ec_.log
2025-03-14T05:22:37.5797467Z Running 2065 items in this shard: test/test_testing.py::TestTestingCPU::test_assertEqual_longMessage_cpu, test/test_testing.py::TestTestingCPU::test_assertEqual_numpy_cpu_bool, test/test_testing.py::TestTestingCPU::test_assertEqual_numpy_cpu_complex128, test/test_testing.py::TestTestingCPU::test_assertEqual_numpy_cpu_complex64, test/test_testing.py::TestTestingCPU::test_assertEqual_numpy_cpu_float16, test/test_testing.py::TestTestingCPU::test_assertEqual_numpy_cpu_float32, test/test_testing.py::TestTestingCPU::test_assertEqual_numpy_cpu_float64, test/test_testing.py::TestTestingCPU::test_assertEqual_numpy_cpu_int16, test/test_testing.py::TestTestingCPU::test_assertEqual_numpy_cpu_int32, test/test_testing.py::TestTestingCPU::test_assertEqual_numpy_cpu_int64, test/test_testing.py::TestTestingCPU::test_assertEqual_numpy_cpu_int8, test/test_testing.py::TestTestingCPU::test_assertEqual_numpy_cpu_uint8, test/test_testing.py::TestTestingCPU::test_cuda_assert_should_not_stop_common_distributed_test_suite_cpu, test/test_testing.py::TestTestingCPU::test_cuda_assert_should_stop_common_device_type_test_suite_cpu, test/test_testing.py::TestTestingCPU::test_cuda_assert_should_stop_common_utils_test_suite_cpu, test/test_testing.py::TestTestingCPU::test_get_supported_dtypes_cpu, test/test_testing.py::TestTestingCPU::test_isclose_atol_rtol_greater_than_zero_cpu_bool, test/test_testing.py::TestTestingCPU::test_isclose_atol_rtol_greater_than_zero_cpu_float16, test/test_testing.py::TestTestingCPU::test_isclose_atol_rtol_greater_than_zero_cpu_float32, test/test_testing.py::TestTestingCPU::test_isclose_atol_rtol_greater_than_zero_cpu_float64, test/test_testing.py::TestTestingCPU::test_isclose_atol_rtol_greater_than_zero_cpu_int16, test/test_testing.py::TestTestingCPU::test_isclose_atol_rtol_greater_than_zero_cpu_int32, test/test_testing.py::TestTestingCPU::test_isclose_atol_rtol_greater_than_zero_cpu_int64, test/test_testing.py::TestTestingCPU::test_isclose_atol_rtol_greater_than_zero_cpu_int8, test/test_testing.py::TestTestingCPU::test_isclose_atol_rtol_greater_than_zero_cpu_uint8, test/test_testing.py::TestTestingCPU::test_isclose_bool_cpu, test/test_testing.py::TestTestingCPU::test_isclose_complex_cpu_complex128, test/test_testing.py::TestTestingCPU::test_isclose_complex_cpu_complex64, test/test_testing.py::TestTestingCPU::test_isclose_equality_shortcut_cpu, test/test_testing.py::TestTestingCPU::test_isclose_float_cpu_float16, test/test_testing.py::TestTestingCPU::test_isclose_float_cpu_float32, test/test_testing.py::TestTestingCPU::test_isclose_float_cpu_float64, test/test_testing.py::TestTestingCPU::test_isclose_integer_cpu_int16, test/test_testing.py::TestTestingCPU::test_isclose_integer_cpu_int32, test/test_testing.py::TestTestingCPU::test_isclose_integer_cpu_int64, test/test_testing.py::TestTestingCPU::test_isclose_integer_cpu_int8, test/test_testing.py::TestTestingCPU::test_isclose_integer_cpu_uint8, test/test_testing.py::TestTestingCPU::test_isclose_nan_equality_shortcut_cpu_complex128, test/test_testing.py::TestTestingCPU::test_isclose_nan_equality_shortcut_cpu_complex64, test/test_testing.py::TestTestingCPU::test_isclose_nan_equality_shortcut_cpu_float16, test/test_testing.py::TestTestingCPU::test_isclose_nan_equality_shortcut_cpu_float32, test/test_testing.py::TestTestingCPU::test_isclose_nan_equality_shortcut_cpu_float64, test/test_testing.py::TestTestingCPU::test_supported_dtypes_abs_cpu, test/test_testing.py::TestFrameworkUtils::test_filtering_env_var, test/test_testing.py::TestAssertClose::test_bool, test/test_testing.py::TestAssertClose::test_default_tolerance_selection_mismatching_dtypes, test/test_testing.py::TestAssertClose::test_docstring_examples, test/test_testing.py::TestAssertClose::test_matching, test/test_testing.py::TestAssertClose::test_matching_atol, test/test_testing.py::TestAssertClose::test_matching_conjugate_bit, test/test_testing.py::TestAssertClose::test_matching_nan, test/test_testing.py::TestAssertClose::test_matching_nan_with_equal_nan, test/test_testing.py::TestAssertClose::test_matching_rtol, test/test_testing.py::TestAssertClose::test_meta, test/test_testing.py::TestAssertClose::test_mismatching_dtype, test/test_testing.py::TestAssertClose::test_mismatching_dtype_no_check, test/test_testing.py::TestAssertClose::test_mismatching_layout, test/test_testing.py::TestAssertClose::test_mismatching_layout_no_check, test/test_testing.py::TestAssertClose::test_mismatching_shape, test/test_testing.py::TestAssertClose::test_mismatching_stride, test/test_testing.py::TestAssertClose::test_mismatching_stride_no_check, test/test_testing.py::TestAssertClose::test_mismatching_types, test/test_testing.py::TestAssertClose::test_mismatching_types_subclasses, test/test_testing.py::TestAssertClose::test_mismatching_types_type_equality, test/test_testing.py::TestAssertClose::test_mismatching_values, test/test_testing.py::TestAssertClose::test_mismatching_values_atol, test/test_testing.py::TestAssertClose::test_mismatching_values_rtol, test/test_testing.py::TestAssertClose::test_none, test/test_testing.py::TestAssertClose::test_none_mismatch, test/test_testing.py::TestAssertClose::test_numpy, test/test_testing.py::TestAssertClose::test_only_atol, test/test_testing.py::TestAssertClose::test_only_rtol, test/test_testing.py::TestAssertClose::test_scalar, test/test_testing.py::TestAssertClose::test_unexpected_error_compare, test/test_testing.py::TestAssertClose::test_unexpected_error_originate, test/test_testing.py::TestAssertClose::test_unknown_layout, test/test_testing.py::TestAssertClose::test_unknown_type, test/test_testing.py::TestAssertCloseErrorMessage::test_abs_diff, test/test_testing.py::TestAssertCloseErrorMessage::test_abs_diff_scalar, test/test_testing.py::TestAssertCloseErrorMessage::test_atol, test/test_testing.py::TestAssertCloseErrorMessage::test_identifier_scalars, test/test_testing.py::TestAssertCloseErrorMessage::test_identifier_tensor_likes, test/test_testing.py::TestAssertCloseErrorMessage::test_mismatched_elements, test/test_testing.py::TestAssertCloseErrorMessage::test_msg_callable, test/test_testing.py::TestAssertCloseErrorMessage::test_msg_str, test/test_testing.py::TestAssertCloseErrorMessage::test_not_close, test/test_testing.py::TestAssertCloseErrorMessage::test_not_equal, test/test_testing.py::TestAssertCloseErrorMessage::test_rel_diff, test/test_testing.py::TestAssertCloseErrorMessage::test_rel_diff_scalar, test/test_testing.py::TestAssertCloseErrorMessage::test_rtol, test/test_testing.py::TestAssertCloseErrorMessage::test_zero_div_zero, test/test_testing.py::TestAssertCloseContainer::test_mapping_mismatching_keys, test/test_testing.py::TestAssertCloseContainer::test_mapping_mismatching_values_msg, test/test_testing.py::TestAssertCloseContainer::test_sequence_mismatching_len, test/test_testing.py::TestAssertCloseContainer::test_sequence_mismatching_values_msg, test/test_testing.py::TestAssertCloseSparseCOO::test_matching_coalesced, test/test_testing.py::TestAssertCloseSparseCOO::test_matching_uncoalesced, test/test_testing.py::TestAssertCloseSparseCOO::test_mismatching_indices_msg, test/test_testing.py::TestAssertCloseSparseCOO::test_mismatching_nnz, test/test_testing.py::TestAssertCloseSparseCOO::test_mismatching_sparse_dims, test/test_testing.py::TestAssertCloseSparseCOO::test_mismatching_values_msg, test/test_testing.py::TestAssertCloseSparseCSR::test_matching, test/test_testing.py::TestAssertCloseSparseCSR::test_mismatching_col_indices_msg, test/test_testing.py::TestAssertCloseSparseCSR::test_mismatching_crow_indices_msg, test/test_testing.py::TestAssertCloseSparseCSR::test_mismatching_values_msg, test/test_testing.py::TestAssertCloseSparseCSC::test_matching, test/test_testing.py::TestAssertCloseSparseCSC::test_mismatching_ccol_indices_msg, test/test_testing.py::TestAssertCloseSparseCSC::test_mismatching_row_indices_msg, test/test_testing.py::TestAssertCloseSparseCSC::test_mismatching_values_msg, test/test_testing.py::TestAssertCloseSparseBSR::test_matching, test/test_testing.py::TestAssertCloseSparseBSR::test_mismatching_col_indices_msg, test/test_testing.py::TestAssertCloseSparseBSR::test_mismatching_crow_indices_msg, test/test_testing.py::TestAssertCloseSparseBSR::test_mismatching_values_msg, test/test_testing.py::TestAssertCloseSparseBSC::test_matching, test/test_testing.py::TestAssertCloseSparseBSC::test_mismatching_ccol_indices_msg, test/test_testing.py::TestAssertCloseSparseBSC::test_mismatching_row_indices_msg, test/test_testing.py::TestAssertCloseSparseBSC::test_mismatching_values_msg, test/test_testing.py::TestAssertCloseQuantized::test_matching_per_channel, test/test_testing.py::TestAssertCloseQuantized::test_matching_per_tensor, test/test_testing.py::TestAssertCloseQuantized::test_mismatching_is_quantized, test/test_testing.py::TestAssertCloseQuantized::test_mismatching_qscheme, test/test_testing.py::TestMakeTensorCPU::test_exclude_zero_cpu_bfloat16, test/test_testing.py::TestMakeTensorCPU::test_exclude_zero_cpu_bool, test/test_testing.py::TestMakeTensorCPU::test_exclude_zero_cpu_complex128, test/test_testing.py::TestMakeTensorCPU::test_exclude_zero_cpu_complex32, test/test_testing.py::TestMakeTensorCPU::test_exclude_zero_cpu_complex64, test/test_testing.py::TestMakeTensorCPU::test_exclude_zero_cpu_float16, test/test_testing.py::TestMakeTensorCPU::test_exclude_zero_cpu_float32, test/test_testing.py::TestMakeTensorCPU::test_exclude_zero_cpu_float64, test/test_testing.py::TestMakeTensorCPU::test_exclude_zero_cpu_int16, test/test_testing.py::TestMakeTensorCPU::test_exclude_zero_cpu_int32, test/test_testing.py::TestMakeTensorCPU::test_exclude_zero_cpu_int64, 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test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_arange_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_as_strided_scatter_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_atan2_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_bernoulli_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_bitwise_and_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_bitwise_left_shift_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_bitwise_or_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_bitwise_right_shift_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_bitwise_xor_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_bucketize_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_cat_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_cauchy_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_clamp_max_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_clamp_min_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_complex_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_copysign_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_cov_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_diag_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_diag_embed_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_diagonal_copy_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_diagonal_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_diff_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_div_floor_rounding_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_div_no_rounding_mode_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_div_trunc_rounding_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_dot_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_dsplit_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_dstack_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_empty_permuted_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_eq_cpu, 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test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_fliplr_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_flipud_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_float_power_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_floor_divide_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_fmax_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_fmin_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_fmod_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_gather_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_gcd_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_ge_cpu, 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test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_bernoulli_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_bfloat16_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_bincount_cpu_int64, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_bitwise_and_cpu_int64, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_bitwise_left_shift_cpu_int64, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_bitwise_not_cpu_int64, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_bitwise_or_cpu_int64, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_bitwise_right_shift_cpu_int64, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_bitwise_xor_cpu_int64, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_block_diag_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_bmm_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_bool_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_broadcast_shapes_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_broadcast_tensors_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_broadcast_to_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_bucketize_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_byte_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_cartesian_prod_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_cat_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_cauchy_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_cdist_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_cdouble_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_ceil_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_cfloat_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_chalf_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_char_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_cholesky_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_cholesky_inverse_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_cholesky_solve_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_chunk_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_clamp_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_clamp_max_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_clamp_min_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_clone_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_column_stack_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_combinations_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_complex_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_conj_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_conj_physical_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_constant_pad_nd_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_contiguous_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_copysign_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_corrcoef_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_cos_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_cosh_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_count_nonzero_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_cov_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_cross_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_cummax_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_cummin_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_cumprod_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_cumsum_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_cumulative_trapezoid_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_deg2rad_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_diag_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_diag_embed_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_diagflat_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_diagonal_copy_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_diagonal_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_diagonal_scatter_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_diff_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_digamma_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_dist_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_div_floor_rounding_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_div_no_rounding_mode_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_div_trunc_rounding_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_dot_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_double_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_dsplit_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_dstack_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_einsum_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_empty_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_empty_like_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_empty_permuted_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_empty_strided_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_eq_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_equal_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_erf_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_erfc_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_erfinv_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_exp2_cpu_float32, 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test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_fftn_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_fftshift_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_hfft2_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_hfft_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_hfftn_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_ifft2_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_ifft_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_ifftn_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_ifftshift_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_ihfft2_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_ihfft_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_ihfftn_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_irfft2_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_irfft_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_irfftn_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_rfft2_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_rfft_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_rfftn_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fill_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_flatten_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_flip_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fliplr_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_flipud_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_float_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_float_power_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_floor_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_floor_divide_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fmax_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fmin_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fmod_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_frac_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_frexp_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_full_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_full_like_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_gather_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_gcd_cpu_int64, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_ge_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_geometric_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_geqrf_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_gradient_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_grid_sampler_2d_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_gt_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_half_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_heaviside_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_histc_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_histogram_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_histogramdd_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_hsplit_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_hstack_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_hypot_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_i0_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_igamma_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_igammac_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_imag_cpu_complex64, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_index_add_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_index_copy_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_index_fill_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_index_put_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_index_reduce_amax_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_index_reduce_amin_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_index_reduce_mean_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_index_reduce_prod_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_index_select_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_inner_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_int_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_isclose_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_isfinite_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_isin_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_isinf_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_isnan_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_isneginf_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_isposinf_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_isreal_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_istft_cpu_complex64, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_item_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_jiterator_2inputs_2outputs_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_jiterator_4inputs_with_extra_args_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_jiterator_binary_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_jiterator_binary_return_by_ref_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_jiterator_unary_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_kron_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_kthvalue_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_lcm_cpu_int64, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_ldexp_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_le_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_lerp_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_lgamma_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_cholesky_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_cholesky_ex_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_cond_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_cross_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_det_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_diagonal_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_eig_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_eigh_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_eigvals_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_eigvalsh_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_householder_product_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_inv_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_inv_ex_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_ldl_factor_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_ldl_factor_ex_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_ldl_solve_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_lstsq_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_lstsq_grad_oriented_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_lu_cpu_float32, 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test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_norm_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_norm_subgradients_at_zero_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_pinv_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_pinv_hermitian_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_pinv_singular_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_qr_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_slogdet_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_solve_cpu_float32, 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test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_true_divide_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_trunc_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_unbind_copy_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_unbind_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_unflatten_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_unfold_copy_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_unfold_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_uniform_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_unique_consecutive_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_unique_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_unravel_index_cpu_int64, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_unsafe_chunk_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_unsafe_split_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_unsqueeze_copy_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_unsqueeze_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_var_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_var_mean_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_var_mean_unbiased_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_var_unbiased_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_vdot_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_view_as_complex_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_view_as_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_view_as_real_cpu_complex64, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_view_copy_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_view_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_vsplit_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_vstack_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_where_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_xlogy_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_zero__cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_zeros_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_zeros_like_cpu_float32
2025-03-14T05:22:37.7505555Z 
2025-03-14T05:22:41.0505081Z Running profiler/test_memory_profiler 1/1 ... [2025-03-14 05:22:41.050069]
2025-03-14T05:22:41.0506021Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:22:41.0508117Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 05:22:41.050456]
2025-03-14T05:22:46.9743623Z 
2025-03-14T05:22:46.9745366Z 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_d06656af263e34ca_.log
2025-03-14T05:22:46.9776848Z 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
2025-03-14T05:22:46.9803382Z 
2025-03-14T05:22:51.5593868Z Running nn/test_module_hooks 1/1 ... [2025-03-14 05:22:51.558931]
2025-03-14T05:22:51.5594693Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:22:51.5597986Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'nn/test_module_hooks.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'] ... [2025-03-14 05:22:51.559367]
2025-03-14T05:22:57.1390124Z 
2025-03-14T05:22:57.1393043Z nn/test_module_hooks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_module_hooks_1.1_01c4e51424e85f7b_.log
2025-03-14T05:22:57.1432255Z Running 53 items in this shard: test/nn/test_module_hooks.py::TestModuleHooks::test_always_called_forward_hooks, test/nn/test_module_hooks.py::TestModuleHooks::test_bw_hook_warning_for_non_tensor_or_tuple, test/nn/test_module_hooks.py::TestModuleHooks::test_forward_hooks_named_tuple_False, test/nn/test_module_hooks.py::TestModuleHooks::test_forward_hooks_named_tuple_True, test/nn/test_module_hooks.py::TestModuleHooks::test_forward_pre_hooks_named_tuple_False, test/nn/test_module_hooks.py::TestModuleHooks::test_forward_pre_hooks_named_tuple_True, test/nn/test_module_hooks.py::TestModuleHooks::test_full_backward_hooks_named_tuple_False, test/nn/test_module_hooks.py::TestModuleHooks::test_full_backward_hooks_named_tuple_True, test/nn/test_module_hooks.py::TestModuleHooks::test_full_backward_pre_hooks_named_tuple_False, test/nn/test_module_hooks.py::TestModuleHooks::test_full_backward_pre_hooks_named_tuple_True, test/nn/test_module_hooks.py::TestModuleHooks::test_kwarg_hooks, test/nn/test_module_hooks.py::TestModuleHooks::test_mixed_hooks_named_tuple_False, test/nn/test_module_hooks.py::TestModuleHooks::test_mixed_hooks_named_tuple_True, test/nn/test_module_hooks.py::TestModuleHooks::test_remove_kwarg_hooks, test/nn/test_module_hooks.py::TestStateDictHooks::test_load_state_dict_module_pre_hook_swap_False, test/nn/test_module_hooks.py::TestStateDictHooks::test_load_state_dict_module_pre_hook_swap_True, test/nn/test_module_hooks.py::TestStateDictHooks::test_load_state_dict_post_hook_backward_compatibility_swap_False, test/nn/test_module_hooks.py::TestStateDictHooks::test_load_state_dict_post_hook_backward_compatibility_swap_True, test/nn/test_module_hooks.py::TestStateDictHooks::test_load_state_dict_post_hook_swap_False, test/nn/test_module_hooks.py::TestStateDictHooks::test_load_state_dict_post_hook_swap_True, test/nn/test_module_hooks.py::TestStateDictHooks::test_load_state_dict_pre_hook_swap_False, test/nn/test_module_hooks.py::TestStateDictHooks::test_load_state_dict_pre_hook_swap_True, test/nn/test_module_hooks.py::TestStateDictHooks::test_no_extra_ref_to_module, test/nn/test_module_hooks.py::TestStateDictHooks::test_pickled_hook, test/nn/test_module_hooks.py::TestStateDictHooks::test_register_state_dict_post_hook_private_False, test/nn/test_module_hooks.py::TestStateDictHooks::test_register_state_dict_post_hook_private_True, test/nn/test_module_hooks.py::TestStateDictHooks::test_register_state_dict_pre_hook, test/nn/test_module_hooks.py::TestStateDictHooks::test_register_state_dict_pre_hook_backward_compat, test/nn/test_module_hooks.py::TestStateDictHooks::test_register_state_dict_pre_hook_lazy_module, test/nn/test_module_hooks.py::TestModuleGlobalHooks::test_global_and_local_hooks_order, test/nn/test_module_hooks.py::TestModuleGlobalHooks::test_module_backward_global_hook_writeable, test/nn/test_module_hooks.py::TestModuleGlobalHooks::test_module_forward_forward_hook_removable, test/nn/test_module_hooks.py::TestModuleGlobalHooks::test_module_forward_preforward_hook_removable, test/nn/test_module_hooks.py::TestModuleGlobalHooks::test_module_global_forward_preforward_hook_writeable, test/nn/test_module_hooks.py::TestModuleGlobalHooks::test_module_global_hook_invalid_outputs, test/nn/test_module_hooks.py::TestModuleGlobalHooks::test_module_global_hooks, test/nn/test_module_hooks.py::TestModuleGlobalHooks::test_module_global_hooks_with_kwargs, test/nn/test_module_hooks.py::TestModuleHookNN::test_backward_hooks_interaction, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_backward_size, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_backward_writeable, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_buffer_registration, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_cpp, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_extra_input, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_forward_preforward_writable, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_inplace, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_invalid_outputs, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_last_arg_requires_grad, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_no_requires_grad, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_non_full_warning, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_parameter_registration, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_requires_grad, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_submodule_registration, test/nn/test_module_hooks.py::TestModuleHookNN::test_hooks
2025-03-14T05:22:57.1473195Z 
2025-03-14T05:23:02.0264483Z Running nn/test_load_state_dict 1/1 ... [2025-03-14 05:23:02.025631]
2025-03-14T05:23:02.0265975Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:23:02.0271100Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'nn/test_load_state_dict.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'] ... [2025-03-14 05:23:02.026062]
2025-03-14T05:23:07.6068206Z 
2025-03-14T05:23:07.6069964Z nn/test_load_state_dict 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_load_state_dict_1.1_a0c407e6a50a1fc6_.log
2025-03-14T05:23:07.6092066Z Running 27 items in this shard: test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_BC_swap_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_BC_swap_True, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_assign_meta_swap_False_keep_vars_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_assign_meta_swap_False_keep_vars_True, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_assign_meta_swap_True_keep_vars_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_assign_meta_swap_True_keep_vars_True, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_assign_shape_stride_swap_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_assign_shape_stride_swap_True, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_assign_with_optimizer_swap_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_assign_with_optimizer_swap_True, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_child_swap_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_child_swap_True, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_custom_swap_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_custom_swap_True, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_invalid_swap_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_invalid_swap_True, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_ref_cycle_swap_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_swap_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_swap_True, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_type_swap_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_type_swap_True, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_warn_assign_swap_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_warn_assign_swap_True, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_with_unexpected_key_swap_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_with_unexpected_key_swap_True, test/nn/test_load_state_dict.py::TestLoadStateDictSwap::test_swap_subclass_swap_True_assign_False, test/nn/test_load_state_dict.py::TestLoadStateDictSwap::test_swap_subclass_swap_True_assign_True
2025-03-14T05:23:11.9803375Z 
2025-03-14T05:23:11.9804308Z Running test_function_schema 1/1 ... [2025-03-14 05:23:11.975529]
2025-03-14T05:23:11.9805794Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:23:11.9808464Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 05:23:11.975974]
2025-03-14T05:23:16.6986053Z 
2025-03-14T05:23:16.6987285Z test_function_schema 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_function_schema_1.1_83183efb268eae2b_.log
2025-03-14T05:23:16.6994471Z 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
2025-03-14T05:23:16.7000686Z 
2025-03-14T05:23:20.4319771Z Running torch_np/numpy_tests/core/test_shape_base 1/1 ... [2025-03-14 05:23:20.431547]
2025-03-14T05:23:20.4320741Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:23:20.4323142Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/core/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'] ... [2025-03-14 05:23:20.431917]
2025-03-14T05:23:25.0041252Z 
2025-03-14T05:23:25.0042983Z torch_np/numpy_tests/core/test_shape_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_shape_base_1.1_fc223619038ae3aa_.log
2025-03-14T05:23:25.0096189Z Running 119 items in this shard: test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast1d::test_0D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast1d::test_1D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast1d::test_2D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast1d::test_3D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast1d::test_r1array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast2d::test_0D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast2d::test_1D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast2d::test_2D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast2d::test_3D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast2d::test_r2array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast3d::test_0D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast3d::test_1D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast3d::test_2D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast3d::test_3D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestHstack::test_0D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestHstack::test_1D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestHstack::test_2D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestHstack::test_casting_and_dtype, test/torch_np/numpy_tests/core/test_shape_base.py::TestHstack::test_casting_and_dtype_type_error, test/torch_np/numpy_tests/core/test_shape_base.py::TestHstack::test_empty_input, test/torch_np/numpy_tests/core/test_shape_base.py::TestHstack::test_generator, test/torch_np/numpy_tests/core/test_shape_base.py::TestHstack::test_non_iterable, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_0D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_1D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_2D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_2D_array2, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_casting_and_dtype, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_casting_and_dtype_type_error, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_empty_input, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_generator, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_non_iterable, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_bad_out_shape, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_concatenate, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_concatenate_axis_None, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_exceptions, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_large_concatenate_axis_None, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_operator_concat, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_c8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_c8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_c8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_c8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_c8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f4_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f4_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f4_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f4_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f4_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_i8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_i8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_i8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_i8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_i8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_c8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_c8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_c8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_c8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_c8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f4_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f4_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f4_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f4_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f4_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_i8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_i8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_i8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_i8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_i8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_simple, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_returns_copy, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_c8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_c8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_c8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_c8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_c8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f4_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f4_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f4_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f4_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f4_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_i8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_i8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_i8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_i8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_i8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_3d, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_complicated, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_memory_order, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_mixed_1d_and_2d, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_simple_column_wise, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_simple_row_wise, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_total_size_estimate, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_with_1d_arrays_column_wise, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_with_1d_arrays_multiple_rows, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_with_1d_arrays_row_wise, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_with_mismatched_shape, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_different_ndims, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_different_ndims_depths, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_empty_lists, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_invalid_nesting, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_nested, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_no_lists, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_returns_copy, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_tuple
2025-03-14T05:23:25.0146900Z 
2025-03-14T05:23:28.8601169Z Running test_ops 1/8 ... [2025-03-14 05:23:28.859674]
2025-03-14T05:23:28.8601732Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:23:28.8603479Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_ops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-03-14 05:23:28.860076]
2025-03-14T05:24:04.4916705Z 
2025-03-14T05:24:04.4918234Z test_sparse_csr 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sparse_csr_1.1_45d480266f86939c_.log
2025-03-14T05:24:04.7342921Z Running 4709 items in this shard: test/test_sparse_csr.py::TestSparseCSRSampler::test_make_crow_indices, test/test_sparse_csr.py::TestSparseCSRCPU::test_add_SparseCSC_cpu_float32, test/test_sparse_csr.py::TestSparseCSRCPU::test_add_SparseCSC_cpu_float64, test/test_sparse_csr.py::TestSparseCSRCPU::test_add_SparseCSR_cpu_float32, test/test_sparse_csr.py::TestSparseCSRCPU::test_add_SparseCSR_cpu_float64, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_all_sparse_csr_SparseCSC_cpu_complex128, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_all_sparse_csr_SparseCSC_cpu_complex64, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_all_sparse_csr_SparseCSC_cpu_float32, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_all_sparse_csr_SparseCSC_cpu_float64, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_all_sparse_csr_SparseCSR_cpu_complex128, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_all_sparse_csr_SparseCSR_cpu_complex64, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_all_sparse_csr_SparseCSR_cpu_float32, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_all_sparse_csr_SparseCSR_cpu_float64, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_dense_result_SparseCSC_cpu_complex128, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_dense_result_SparseCSC_cpu_complex64, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_dense_result_SparseCSC_cpu_float32, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_dense_result_SparseCSC_cpu_float64, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_dense_result_SparseCSR_cpu_complex128, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_dense_result_SparseCSR_cpu_complex64, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_dense_result_SparseCSR_cpu_float32, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_dense_result_SparseCSR_cpu_float64, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_errors_cpu_float32, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_sizes_all_sparse_csr_k_0_n_0_m_0_cpu_complex128, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_sizes_all_sparse_csr_k_0_n_0_m_0_cpu_complex64, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_sizes_all_sparse_csr_k_0_n_0_m_0_cpu_float32, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_sizes_all_sparse_csr_k_0_n_0_m_0_cpu_float64, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_sizes_all_sparse_csr_k_0_n_0_m_1_cpu_complex128, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_sizes_all_sparse_csr_k_0_n_0_m_1_cpu_complex64, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_sizes_all_sparse_csr_k_0_n_0_m_1_cpu_float32, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_sizes_all_sparse_csr_k_0_n_0_m_1_cpu_float64, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_sizes_all_sparse_csr_k_0_n_0_m_25_cpu_complex128, 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test/test_sparse_csr.py::TestSparseCSRCPU::test_dense_to_from_sparse_compressed_SparseBSR_NonBatched_NonHybrid_cpu, test/test_sparse_csr.py::TestSparseCSRCPU::test_dense_to_from_sparse_compressed_SparseCSC_Batched_Hybrid_cpu, test/test_sparse_csr.py::TestSparseCSRCPU::test_dense_to_from_sparse_compressed_SparseCSC_Batched_NonHybrid_cpu, test/test_sparse_csr.py::TestSparseCSRCPU::test_dense_to_from_sparse_compressed_SparseCSC_NonBatched_Hybrid_cpu, test/test_sparse_csr.py::TestSparseCSRCPU::test_dense_to_from_sparse_compressed_SparseCSC_NonBatched_NonHybrid_cpu, test/test_sparse_csr.py::TestSparseCSRCPU::test_dense_to_from_sparse_compressed_SparseCSR_Batched_Hybrid_cpu, test/test_sparse_csr.py::TestSparseCSRCPU::test_dense_to_from_sparse_compressed_SparseCSR_Batched_NonHybrid_cpu, test/test_sparse_csr.py::TestSparseCSRCPU::test_dense_to_from_sparse_compressed_SparseCSR_NonBatched_Hybrid_cpu, test/test_sparse_csr.py::TestSparseCSRCPU::test_dense_to_from_sparse_compressed_SparseCSR_NonBatched_NonHybrid_cpu, test/test_sparse_csr.py::TestSparseCSRCPU::test_direct_coo_csr_conversion_cpu_complex128, test/test_sparse_csr.py::TestSparseCSRCPU::test_direct_coo_csr_conversion_cpu_complex64, test/test_sparse_csr.py::TestSparseCSRCPU::test_direct_coo_csr_conversion_cpu_float32, test/test_sparse_csr.py::TestSparseCSRCPU::test_direct_coo_csr_conversion_cpu_float64, test/test_sparse_csr.py::TestSparseCSRCPU::test_direct_coo_csr_conversion_cpu_int16, test/test_sparse_csr.py::TestSparseCSRCPU::test_direct_coo_csr_conversion_cpu_int32, test/test_sparse_csr.py::TestSparseCSRCPU::test_direct_coo_csr_conversion_cpu_int64, test/test_sparse_csr.py::TestSparseCSRCPU::test_direct_coo_csr_conversion_cpu_int8, test/test_sparse_csr.py::TestSparseCSRCPU::test_direct_coo_csr_conversion_cpu_uint8, test/test_sparse_csr.py::TestSparseCSRCPU::test_exercise_detach_cpu_bfloat16, 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test/test_sparse_csr.py::TestSparseCSRCPU::test_resize_errors_cpu_int32, test/test_sparse_csr.py::TestSparseCSRCPU::test_resize_errors_cpu_int64, test/test_sparse_csr.py::TestSparseCSRCPU::test_resize_errors_cpu_int8, test/test_sparse_csr.py::TestSparseCSRCPU::test_resize_errors_cpu_uint8, test/test_sparse_csr.py::TestSparseCSRCPU::test_sampled_addmm_autograd_cpu_complex128, test/test_sparse_csr.py::TestSparseCSRCPU::test_sampled_addmm_autograd_cpu_complex64, test/test_sparse_csr.py::TestSparseCSRCPU::test_sampled_addmm_autograd_cpu_float32, test/test_sparse_csr.py::TestSparseCSRCPU::test_sampled_addmm_autograd_cpu_float64, test/test_sparse_csr.py::TestSparseCSRCPU::test_sampled_addmm_cpu_complex128, test/test_sparse_csr.py::TestSparseCSRCPU::test_sampled_addmm_cpu_complex64, test/test_sparse_csr.py::TestSparseCSRCPU::test_sampled_addmm_cpu_float32, test/test_sparse_csr.py::TestSparseCSRCPU::test_sampled_addmm_cpu_float64, test/test_sparse_csr.py::TestSparseCSRCPU::test_sampled_addmm_errors_cpu_complex128, test/test_sparse_csr.py::TestSparseCSRCPU::test_sampled_addmm_errors_cpu_complex64, test/test_sparse_csr.py::TestSparseCSRCPU::test_sampled_addmm_errors_cpu_float32, test/test_sparse_csr.py::TestSparseCSRCPU::test_sampled_addmm_errors_cpu_float64, test/test_sparse_csr.py::TestSparseCSRCPU::test_sampled_addmm_zero_sized_cpu_complex128, test/test_sparse_csr.py::TestSparseCSRCPU::test_sampled_addmm_zero_sized_cpu_complex64, test/test_sparse_csr.py::TestSparseCSRCPU::test_sampled_addmm_zero_sized_cpu_float32, test/test_sparse_csr.py::TestSparseCSRCPU::test_sampled_addmm_zero_sized_cpu_float64, test/test_sparse_csr.py::TestSparseCSRCPU::test_select_SparseBSC_int32_cpu_bfloat16, test/test_sparse_csr.py::TestSparseCSRCPU::test_select_SparseBSC_int32_cpu_bool, test/test_sparse_csr.py::TestSparseCSRCPU::test_select_SparseBSC_int32_cpu_complex128, test/test_sparse_csr.py::TestSparseCSRCPU::test_select_SparseBSC_int32_cpu_complex64, test/test_sparse_csr.py::TestSparseCSRCPU::test_select_SparseBSC_int32_cpu_float16, test/test_sparse_csr.py::TestSparseCSRCPU::test_select_SparseBSC_int32_cpu_float32, test/test_sparse_csr.py::TestSparseCSRCPU::test_select_SparseBSC_int32_cpu_float64, test/test_sparse_csr.py::TestSparseCSRCPU::test_select_SparseBSC_int32_cpu_int16, test/test_sparse_csr.py::TestSparseCSRCPU::test_select_SparseBSC_int32_cpu_int32, test/test_sparse_csr.py::TestSparseCSRCPU::test_select_SparseBSC_int32_cpu_int64, test/test_sparse_csr.py::TestSparseCSRCPU::test_select_SparseBSC_int32_cpu_int8, test/test_sparse_csr.py::TestSparseCSRCPU::test_select_SparseBSC_int32_cpu_uint8, test/test_sparse_csr.py::TestSparseCSRCPU::test_select_SparseBSC_int64_cpu_bfloat16, test/test_sparse_csr.py::TestSparseCSRCPU::test_select_SparseBSC_int64_cpu_bool, test/test_sparse_csr.py::TestSparseCSRCPU::test_select_SparseBSC_int64_cpu_complex128, test/test_sparse_csr.py::TestSparseCSRCPU::test_select_SparseBSC_int64_cpu_complex64, test/test_sparse_csr.py::TestSparseCSRCPU::test_select_SparseBSC_int64_cpu_float16, test/test_sparse_csr.py::TestSparseCSRCPU::test_select_SparseBSC_int64_cpu_float32, test/test_sparse_csr.py::TestSparseCSRCPU::test_select_SparseBSC_int64_cpu_float64, test/test_sparse_csr.py::TestSparseCSRCPU::test_select_SparseBSC_int64_cpu_int16, test/test_sparse_csr.py::TestSparseCSRCPU::test_select_SparseBSC_int64_cpu_int32, test/test_sparse_csr.py::TestSparseCSRCPU::test_select_SparseBSC_int64_cpu_int64, test/test_sparse_csr.py::TestSparseCSRCPU::test_select_SparseBSC_int64_cpu_int8, test/test_sparse_csr.py::TestSparseCSRCPU::test_select_SparseBSC_int64_cpu_uint8, test/test_sparse_csr.py::TestSparseCSRCPU::test_select_SparseBSR_int32_cpu_bfloat16, test/test_sparse_csr.py::TestSparseCSRCPU::test_select_SparseBSR_int32_cpu_bool, test/test_sparse_csr.py::TestSparseCSRCPU::test_select_SparseBSR_int32_cpu_complex128, 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test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCPU::test_triton_scatter_mm, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCPU::test_triton_tune
2025-03-14T05:24:04.9333753Z 
2025-03-14T05:24:08.2879428Z Running test_ops 4/8 ... [2025-03-14 05:24:08.287520]
2025-03-14T05:24:08.2880070Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:24:08.2882076Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_ops.py', '-m', 'not serial', '--shard-id=4', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-03-14 05:24:08.287917]
2025-03-14T05:24:09.0987881Z 
2025-03-14T05:24:09.0989316Z test_ops_gradients 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_gradients_1.2_9cda1884898d5634_.log
2025-03-14T05:24:09.2253851Z Running 2723 items in this shard: test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_H_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_NumpyCubeCustomOp_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_NumpyMulScalarCustomOp_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_NumpyNMSCustomOp_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_NumpyNonzeroCustomOp_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_NumpySortCustomOp_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_NumpySplitCopyWithIntCustomOp_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_NumpyTakeCustomOp_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_NumpyViewCopyCustomOp_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_T_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___getitem___cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___radd___cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___rdiv___cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___rmatmul___cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___rmod___cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___rmul___cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___rpow___cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___rpow___cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___rsub___cpu_float64, 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test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_angle_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_argmin_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_argsort_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_argwhere_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_as_strided_copy_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_as_strided_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_as_strided_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_as_strided_partial_views_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_asin_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_asin_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_asinh_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_atan2_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_atleast_2d_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_bernoulli_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_bfloat16_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_bmm_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_bool_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_broadcast_to_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_byte_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_cartesian_prod_cpu_float64, 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test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unsafe_chunk_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unsafe_chunk_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unsafe_split_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unsafe_split_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unsqueeze_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unsqueeze_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_var_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_var_mean_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_var_mean_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_vdot_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_vdot_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_view_as_complex_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_view_as_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_view_as_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_view_copy_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_view_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_vsplit_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_vstack_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_where_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_where_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_zero__cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_zeros_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_zeros_like_cpu_complex128
2025-03-14T05:24:09.3338179Z 
2025-03-14T05:24:12.7974219Z Running test_ops 6/8 ... [2025-03-14 05:24:12.796939]
2025-03-14T05:24:12.7974743Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:24:12.7976053Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_ops.py', '-m', 'not serial', '--shard-id=6', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-03-14 05:24:12.797345]
2025-03-14T05:32:41.4998836Z 
2025-03-14T05:32:41.5000283Z test_ops 1/8 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_1.8_16db468b48af86a5_.log
2025-03-14T05:32:41.7852802Z Running 4300 items in this shard: test/test_ops.py::TestCommonCPU::test_compare_cpu___getitem___cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu___rmatmul___cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__batch_norm_with_update_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_long_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_as_strided_partial_views_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_copysign_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_diagonal_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_flip_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_fliplr_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_hstack_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_log_normal_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_narrow_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_hardtanh_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_margin_ranking_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_nll_loss_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_unfold_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_cpu_float32, 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test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_pad_replicate_negative_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_pdist_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_silu_complex_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_smooth_l1_loss_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_softmin_with_dtype_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_softplus_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_tanhshrink_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_unfold_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_upsample_bilinear_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nonzero_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_ormqr_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_polygamma_polygamma_n_2_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_resolve_conj_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_round_decimals_3_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_scatter_add_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_scatter_reduce_amin_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_scatter_reduce_mean_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_signal_windows_bartlett_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_signal_windows_general_hamming_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_sinh_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_sparse_mm_reduce_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_special_chebyshev_polynomial_u_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_special_chebyshev_polynomial_w_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_special_laguerre_polynomial_l_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_special_modified_bessel_i0_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_sqrt_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_squeeze_multiple_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_svd_lowrank_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_to_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_unfold_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_unsqueeze_copy_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_var_unbiased_cpu, test/test_ops.py::TestCommonCPU::test_errors___rmul___cpu, test/test_ops.py::TestCommonCPU::test_errors___ror___cpu, test/test_ops.py::TestCommonCPU::test_errors_cauchy_cpu, test/test_ops.py::TestCommonCPU::test_errors_empty_permuted_cpu, test/test_ops.py::TestCommonCPU::test_errors_eq_cpu, test/test_ops.py::TestCommonCPU::test_errors_fft_hfft2_cpu, test/test_ops.py::TestCommonCPU::test_errors_fft_rfftn_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_geometric_cpu, test/test_ops.py::TestCommonCPU::test_errors_heaviside_cpu, test/test_ops.py::TestCommonCPU::test_errors_hypot_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_logcumsumexp_cpu, test/test_ops.py::TestCommonCPU::test_errors_logical_or_cpu, test/test_ops.py::TestCommonCPU::test_errors_masked_select_cpu, test/test_ops.py::TestCommonCPU::test_errors_mul_cpu, test/test_ops.py::TestCommonCPU::test_errors_multinomial_cpu, test/test_ops.py::TestCommonCPU::test_errors_neg_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_multi_margin_loss_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_multilabel_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_renorm_cpu, test/test_ops.py::TestCommonCPU::test_errors_reshape_cpu, test/test_ops.py::TestCommonCPU::test_errors_signal_windows_exponential_cpu, test/test_ops.py::TestCommonCPU::test_errors_sparse_sum_layout1_cpu, test/test_ops.py::TestCommonCPU::test_errors_sparse_sum_layout4_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_take_cpu, test/test_ops.py::TestCommonCPU::test_errors_triu_cpu, test/test_ops.py::TestCommonCPU::test_errors_view_copy_cpu, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch__chunk_cat_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_addmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_amax_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_atan_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_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_digamma_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_exp2_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_ifft2_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_ihfftn_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_histogram_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_index_reduce_prod_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_kthvalue_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_det_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_eig_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_inv_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_qr_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_solve_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_log_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_logical_not_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_mm_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_mvlgamma_mvlgamma_p_3_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_neg_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_nn_functional_avg_pool2d_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_normal_number_mean_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_scatter_reduce_amax_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_sinh_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_entr_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_scaled_modified_bessel_k0_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_shifted_chebyshev_polynomial_u_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_square_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_t_copy_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_view_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_vstack_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_where_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_zeros_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices___getitem___cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices___radd___cpu_float32, 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___rmul___cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices___ror___cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices___rxor___cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices__segment_reduce_lengths_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices__softmax_backward_data_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_addmm_decomposed_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_addr_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_all_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_as_strided_partial_views_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_bfloat16_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_bitwise_xor_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cat_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_cdouble_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cfloat_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cholesky_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_clamp_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_copysign_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cosh_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_diagonal_copy_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_diff_cpu_int64, 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_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_equal_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_expand_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_eye_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_hfft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_irfft_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_float_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_floor_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_ge_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_half_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_heaviside_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_heaviside_cpu_int64, 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_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_inner_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_isclose_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_isneginf_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_isneginf_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_isposinf_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_isreal_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_jiterator_binary_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_jiterator_binary_return_by_ref_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_kthvalue_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_cholesky_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_eigh_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_matrix_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_qr_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_slogdet_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_solve_triangular_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_tensorsolve_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linspace_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_log2_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_log2_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_logaddexp2_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_logcumsumexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_logical_and_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_logical_and_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_logspace_tensor_overload_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_lt_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_mT_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_fill_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_median_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_prod_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_matmul_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_meshgrid_variadic_tensors_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_mode_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nan_to_num_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nan_to_num_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nanmedian_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_native_dropout_backward_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_ne_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_neg_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_new_zeros_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_avg_pool3d_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_gelu_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_group_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_instance_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_interpolate_bicubic_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_interpolate_nearest_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_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_logsigmoid_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_max_pool2d_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_mish_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_one_hot_cpu_int64, 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_pdist_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_rrelu_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_selu_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_tanhshrink_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_triplet_margin_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_upsample_nearest_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_ones_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_polygamma_polygamma_n_3_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_put_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_rand_like_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_randint_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_randint_like_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_randn_like_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_resize_as__cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_round_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_rsub_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_scatter_reduce_mean_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_scatter_reduce_prod_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_select_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_sgn_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_slice_scatter_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_softmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_bessel_y1_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_chebyshev_polynomial_t_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_chebyshev_polynomial_w_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_entr_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_i1e_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_modified_bessel_i1_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_ndtr_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_ndtri_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_spherical_bessel_j0_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_xlog1py_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_squeeze_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_std_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_sum_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_sum_to_size_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_tan_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_tile_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_tile_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_unbind_copy_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_unfold_cpu_int64, 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test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_signal_windows_general_cosine_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_signal_windows_hann_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_signbit_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_signbit_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_sinc_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_sinc_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_sinh_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_airy_ai_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_airy_ai_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_chebyshev_polynomial_t_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_chebyshev_polynomial_v_cpu_float32, 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test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_transpose_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_tril_indices_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_triu_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_triu_indices_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_true_divide_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_true_divide_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_unflatten_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_unfold_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_unique_consecutive_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_unique_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_unique_cpu_int64, 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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_i0_cpu_float32, 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_select_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_index_select_cpu_float32, 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_eigh_cpu_complex64, 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_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_inv_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_multi_dot_cpu_complex64, 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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_polygamma_special_polygamma_n_0_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_stack_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_take_along_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_tril_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_unfold_copy_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_unfold_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_view_copy_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_rot90_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_searchsorted_cpu_float32, 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test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_ones_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_ravel_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_renorm_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_rot90_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_sqrt_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_squeeze_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_squeeze_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_stack_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_tensor_split_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_to_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_tril_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_var_mean_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_vstack_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_as_strided_partial_views_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_diag_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_expm1_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_fft_irfft2_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_flatten_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_flipud_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_gather_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_isreal_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_kron_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_cross_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_matrix_norm_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_pinv_hermitian_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_log_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_log_softmax_with_dtype_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_logcumsumexp_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_logical_not_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_logspace_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_mT_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_masked_normalize_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_mean_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_neg_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_pixel_shuffle_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_unfold_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_permute_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_pinverse_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_positive_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_qr_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_repeat_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_repeat_interleave_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_rsqrt_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_square_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_var_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_var_mean_unbiased_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_view_as_real_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_zeros_like_cpu_complex64, 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_short_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_atleast_2d_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_constant_pad_nd_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_count_nonzero_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_empty_strided_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_fft_irfftn_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_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_isinf_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_mean_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_new_full_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_l1_loss_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_permute_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_repeat_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_std_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_trace_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_unflatten_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_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_view_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_any_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_asin_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_bmm_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_cat_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_conj_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_cosh_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_diagonal_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_diagonal_scatter_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_diff_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_double_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_dsplit_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_einsum_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_eq_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_equal_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fft_fft_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_int_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_isnan_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_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_cond_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_inv_ex_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_ldl_factor_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_solve_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_logspace_tensor_overload_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_narrow_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_new_full_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_feature_alpha_dropout_without_train_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_triplet_margin_with_distance_loss_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nonzero_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_normal_in_place_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_qr_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_resolve_conj_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_sgn_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_sinh_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_sqrt_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_std_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_svd_lowrank_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_t_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_trapz_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_unsafe_chunk_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_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_vdot_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_vstack_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_where_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_view_T_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view___radd___cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view___rsub___cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_any_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_asinh_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_ceil_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_chunk_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_column_stack_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_conj_physical_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_empty_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_empty_strided_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_eye_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_rfft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fliplr_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_hstack_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_index_fill_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_isfinite_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_isinf_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_le_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_logaddexp2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_logspace_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_masked_fill_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_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_nn_functional_glu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_mish_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_prelu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_reshape_as_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_bessel_j1_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_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_tan_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_tensor_split_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_unfold_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_vsplit_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_acos_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_addcdiv_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_as_strided_scatter_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_block_diag_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cauchy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cdouble_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cholesky_solve_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_copysign_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_diag_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_div_trunc_rounding_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_empty_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_exp2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_expand_as_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_eye_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_fft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_fftshift_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_irfftn_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_grid_sampler_2d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_inner_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_isneginf_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_eig_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_eigh_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_rank_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_norm_subgradients_at_zero_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_logaddexp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_logdet_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_logical_not_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_logspace_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_lu_unpack_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_scatter_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_max_reduction_with_dim_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_median_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_meshgrid_list_of_tensors_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_native_batch_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_binary_cross_entropy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_conv_transpose2d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_cosine_similarity_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_dropout2d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_embedding_bag_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_local_response_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_max_pool3d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_mse_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_pad_reflect_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_pad_replicate_negative_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_pdist_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_softsign_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_polygamma_polygamma_n_3_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_randint_like_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_repeat_interleave_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_signal_windows_bartlett_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_signal_windows_hamming_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_signal_windows_hann_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_sinh_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_slice_scatter_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_sparse_sampled_addmm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_bessel_y0_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_erfcx_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_i0e_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_laguerre_polynomial_l_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_scaled_modified_bessel_k0_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_split_with_sizes_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_squeeze_multiple_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_std_unbiased_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_t_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_topk_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_trapezoid_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_triu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_var_mean_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_vdot_cpu_float64, 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test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_max_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_max_unpool1d_grad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_nll_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_pad_replicate_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_pairwise_distance_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_pixel_unshuffle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_silu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_ones_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_polygamma_polygamma_n_2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_positive_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_rad2deg_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_randn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_remainder_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_reshape_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_resolve_conj_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_round_decimals_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_sign_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_signal_windows_kaiser_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_y0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_entr_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_i1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_ndtr_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_u_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_split_with_sizes_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_std_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_tril_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_where_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_bernoulli_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_block_diag_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_bmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_corrcoef_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_acosh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_add_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_angle_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_diagflat_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_scatter_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_exp2_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_fft_hfftn_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_frexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_half_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_amin_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_pinv_hermitian_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_log2_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_logdet_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_logit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_amax_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_max_binary_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_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_msort_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_native_dropout_backward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_batch_norm_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_fractional_max_pool3d_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_group_norm_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_margin_ranking_loss_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_multi_head_attention_forward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_soft_margin_loss_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_permute_copy_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_prod_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_round_decimals_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_round_decimals_neg_3_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_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_slice_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_softmax_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_square_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_sub_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_tile_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_to_sparse_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_tril_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_view_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___rmatmul___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_as_strided_partial_views_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_atanh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_conj_physical_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_div_floor_rounding_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_dstack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_erfinv_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_expm1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_fftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_hfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_irfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_float_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fmod_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_index_reduce_prod_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_kron_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_pinv_singular_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_tensorsolve_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_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_median_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_min_reduction_with_dim_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_nn_functional_adaptive_max_pool2d_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_conv1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_hardshrink_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_interpolate_bilinear_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_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_softmin_with_dtype_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_outer_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_quantile_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_round_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_sigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_sinh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_special_erfcx_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_special_ndtri_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_std_unbiased_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_t_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_tanh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_tensordot_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_mean_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_vsplit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_diagflat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_dot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_dstack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_empty_strided_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_eq_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_exp2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_exp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_exponential_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_geqrf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_gradient_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_gt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_hsplit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_i0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_index_select_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_isfinite_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_inv_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_lstsq_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_norm_subgradients_at_zero_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_logaddexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_logical_xor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_fill_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_median_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_std_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_matrix_exp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_min_binary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_mode_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_multinomial_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nanquantile_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_native_batch_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_ne_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_new_zeros_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_alpha_dropout_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_batch_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_conv_transpose2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_hardshrink_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_hardswish_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_leaky_relu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_mish_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_pixel_unshuffle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_rrelu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_softsign_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_upsample_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_norm_inf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_pca_lowrank_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_round_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_rsqrt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_scatter_reduce_sum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_sin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_slice_scatter_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_svd_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_to_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_topk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_trapezoid_cpu_float32, 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_unique_consecutive_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops___getitem___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__unsafe_masked_index_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_any_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_atleast_2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_bool_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_contiguous_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_corrcoef_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cummax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_diagonal_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_double_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_expm1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_ifft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_ihfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_rfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fmin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_gradient_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_gt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_imag_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_index_reduce_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_isfinite_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_jiterator_2inputs_2outputs_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_linalg_lu_factor_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_matrix_rank_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_multi_dot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_solve_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_solve_triangular_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_tensorinv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_tensorsolve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_logaddexp2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_logical_not_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_lt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_std_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_sum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_matrix_exp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_max_reduction_no_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_median_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_narrow_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_narrow_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_max_pool1d_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_avg_pool2d_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_celu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_conv_transpose1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_grid_sample_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_local_response_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_max_unpool2d_grad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_normalize_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_replicate_negative_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_scaled_dot_product_attention_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_triplet_margin_with_distance_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nonzero_static_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_norm_nuc_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_rad2deg_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_scatter_reduce_sum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_select_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_signal_windows_gaussian_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_hermite_polynomial_h_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_shifted_chebyshev_polynomial_u_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_split_list_args_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_square_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_topk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_transpose_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_triu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_true_divide_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_unbind_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_unflatten_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_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_xlogy_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_int8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_cpu_complex64, 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_ones_cpu_complex32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_ones_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_ones_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_zeros_cpu_float16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_arange_cpu_int16, 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_linspace_tensor_overload_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_tensor_overload_cpu_int16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_tensor_overload_cpu_uint8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_cpu_uint8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_tensor_overload_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_tensor_overload_cpu_uint8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_ones_cpu_float16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_zeros_cpu_complex32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_zeros_cpu_float16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_zeros_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_zeros_cpu_int8, test/test_ops.py::TestTagsCPU::test_tags___rpow___cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__native_batch_norm_legit_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs__conversions_int_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_addcdiv_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_addcmul_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_as_strided_copy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_clamp_min_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_clone_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_constant_pad_nd_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_cos_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_cosh_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_dsplit_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_erfc_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_exp2_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_exp_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_fft_ihfftn_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_fill_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_flip_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_item_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_lcm_cpu_int64, test/test_ops.py::TestTagsCPU::test_tags__refs_log_softmax_with_dtype_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_native_layer_norm_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_hardshrink_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_softplus_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_softshrink_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_normal_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_ones_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_real_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_special_bessel_j1_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_special_xlog1py_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_sqrt_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_square_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_squeeze_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_std_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_t_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_unflatten_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_vsplit_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__segment_reduce_offsets_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__softmax_backward_data_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_addr_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_argmin_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_asin_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_atleast_2d_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_bitwise_left_shift_cpu_int64, test/test_ops.py::TestTagsCPU::test_tags_block_diag_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_bmm_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_cat_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_cholesky_solve_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_clamp_min_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_conj_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_cos_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_cummax_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_diag_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_diag_embed_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_dstack_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_empty_permuted_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_equal_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_exp_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_fft_fft_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_fft_ihfftn_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_flip_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_float_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_fmax_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_ge_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_histogram_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_igammac_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_index_fill_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_index_reduce_mean_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_ldexp_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_le_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_lerp_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_det_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_norm_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_solve_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_tensorinv_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_log_softmax_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_lu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_lu_solve_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_lu_unpack_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_masked_cumprod_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_masked_logaddexp_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_masked_logsumexp_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_masked_normalize_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_masked_var_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_matrix_exp_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_meshgrid_variadic_tensors_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nanquantile_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_native_batch_norm_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_neg_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_new_empty_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_new_ones_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_avg_pool2d_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_conv1d_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_group_norm_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_hardshrink_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_hardtanh_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_l1_loss_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_max_pool3d_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_max_unpool2d_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_max_unpool3d_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_mse_loss_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_multi_head_attention_forward_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_relu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_selu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_silu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_upsample_nearest_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nonzero_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_norm_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_norm_fro_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_ones_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_polygamma_polygamma_n_2_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_resolve_neg_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_scatter_reduce_amin_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_scatter_reduce_prod_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_sign_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_signal_windows_blackman_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_signal_windows_general_cosine_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_sin_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_sinh_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_slice_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_bessel_y0_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_shifted_chebyshev_polynomial_v_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_shifted_chebyshev_polynomial_w_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_split_list_args_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_squeeze_copy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_stack_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_std_mean_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_tan_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_tanh_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_tile_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_transpose_copy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_trunc_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_unbind_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_uniform_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_var_mean_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_var_unbiased_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_zeros_like_cpu_float32
2025-03-14T05:32:41.9433806Z 
2025-03-14T05:32:45.2354900Z Running test_ops 7/8 ... [2025-03-14 05:32:45.234658]
2025-03-14T05:32:45.2358301Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:32:45.2359468Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_ops.py', '-m', 'not serial', '--shard-id=7', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-03-14 05:32:45.235200]
2025-03-14T05:34:01.5738631Z 
2025-03-14T05:34:01.5739472Z test_ops 4/8 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_4.8_302c83086b4cfe32_.log
2025-03-14T05:34:01.7255542Z Running 4233 items in this shard: test/test_ops.py::TestSelfKwarg::test_self_kwargs, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs__conversions_byte_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs__conversions_chalf_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_addr_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_atleast_1d_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_right_shift_cpu_int64, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_diag_embed_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_diagonal_scatter_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_div_trunc_rounding_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_igamma_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_istft_cpu_complex64, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_linalg_norm_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_nn_functional_softmin_with_dtype_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_normal_number_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_renorm_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_rsub_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_special_softmax_with_dtype_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_special_zeta_cpu_float32, 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test/test_ops.py::TestCommonCPU::test_errors_sparse_zeros_like_layout3_cpu, test/test_ops.py::TestCommonCPU::test_errors_sparse_zeros_like_layout4_cpu, test/test_ops.py::TestCommonCPU::test_errors_special_chebyshev_polynomial_u_cpu, test/test_ops.py::TestCommonCPU::test_errors_special_hermite_polynomial_he_cpu, test/test_ops.py::TestCommonCPU::test_errors_true_divide_cpu, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_bernoulli_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_bucketize_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_cholesky_inverse_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_diagonal_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_diff_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_exp_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_irfft_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_floor_divide_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_reduce_amin_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_le_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_cholesky_ex_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_rank_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_linalg_vector_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linspace_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_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_and_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_logspace_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_lu_unpack_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_min_binary_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_nanquantile_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_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_round_decimals_neg_3_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_sort_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_bessel_j0_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_legendre_polynomial_p_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_sqrt_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_stack_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_unbind_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_T_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices__upsample_bilinear2d_aa_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_add_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_addcdiv_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_addcmul_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_addmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_amin_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_any_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_asinh_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_bmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_bool_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_broadcast_tensors_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_byte_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_ceil_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cfloat_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_chalf_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_complex_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_conj_physical_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_contiguous_cpu_int64, 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_cumsum_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_deg2rad_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_deg2rad_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_diagonal_scatter_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_div_no_rounding_mode_cpu_float32, 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_erfinv_cpu_float32, 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_fft_fft_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_hfftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_ifftshift_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_flatten_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fliplr_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fmax_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_frexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_gather_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_histogram_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_copy_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_fill_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_reduce_prod_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_item_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_lcm_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_eig_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_householder_product_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_ldl_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_lu_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_log_normal_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_logdet_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_logical_not_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_logspace_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_logspace_tensor_overload_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_long_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_long_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_argmin_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_normalize_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_std_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_maximum_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_median_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_meshgrid_list_of_tensors_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_min_binary_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_movedim_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_msort_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nanquantile_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_native_batch_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_ne_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_neg_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_new_ones_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_hardswish_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_nearest-exact_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_margin_ranking_loss_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_max_pool2d_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_replicate_negative_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pixel_shuffle_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_scaled_dot_product_attention_cpu_float32, 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_triplet_margin_loss_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_ones_like_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_polygamma_polygamma_n_0_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_polygamma_polygamma_n_1_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_polygamma_polygamma_n_4_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_pow_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_repeat_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_repeat_interleave_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_reshape_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_scatter_reduce_amax_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_signal_windows_exponential_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_signal_windows_hamming_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_signal_windows_nuttall_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_signbit_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_sin_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_sinh_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_slice_scatter_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_sparse_mm_reduce_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_bessel_j1_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_bessel_y1_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_laguerre_polynomial_l_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_modified_bessel_k1_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_k0_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_scaled_modified_bessel_k1_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_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_shifted_chebyshev_polynomial_w_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_std_mean_unbiased_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_tensordot_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_trunc_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_unfold_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_unsqueeze_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_vdot_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_where_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_where_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_zeros_like_cpu_int64, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values___radd___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_angle_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_partial_views_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_atleast_3d_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_bfloat16_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_bitwise_xor_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_diff_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_expand_as_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_expm1_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_fft_fft_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_fft_ihfftn_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_fft_irfft_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_fft_irfftn_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_fft_rfft_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_fmin_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_ge_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_index_fill_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_int_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_le_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_log_softmax_with_dtype_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_logsumexp_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_masked_fill_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_max_reduction_with_dim_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_meshgrid_list_of_tensors_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_min_reduction_no_dim_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_narrow_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_new_empty_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_nn_functional_channel_shuffle_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_nn_functional_feature_alpha_dropout_without_train_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_nn_functional_pad_circular_cpu_bool, 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test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_stack_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_true_divide_cpu_bool, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples___rmatmul___cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples___rmatmul___cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples___rxor___cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples__chunk_cat_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples__native_batch_norm_legit_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples__segment_reduce_lengths_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples__unsafe_masked_index_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_abs_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_addr_cpu_float32, 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test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_scatter_reduce_amax_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_scatter_reduce_mean_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_scatter_reduce_sum_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_scatter_reduce_sum_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_searchsorted_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_select_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_sgn_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_short_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_blackman_cpu_float32, 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test/test_ops.py::TestMathBitsCPU::test_conj_view_dot_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_empty_permuted_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_eye_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_fft_fft_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_fft_fftshift_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_fft_hfft2_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_fft_ifft_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_full_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_gradient_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_index_add_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_ldexp_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_lerp_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_ldl_factor_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_qr_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_log1p_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_logspace_tensor_overload_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_lu_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_masked_cumsum_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_masked_std_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_matrix_exp_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_conv_transpose2d_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_conv_transpose3d_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_circular_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_softmin_with_dtype_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_norm_fro_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_norm_nuc_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_resize__cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_roll_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_std_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_std_unbiased_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_t_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_tensor_split_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_trapezoid_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_uniform_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view___radd___cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view___rsub___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_allclose_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_as_strided_scatter_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_block_diag_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_conj_physical_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_equal_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_hfft_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_fft_irfft2_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_item_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_logspace_tensor_overload_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_nn_functional_tanhshrink_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_squeeze_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_stack_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_sub_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_to_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_view_as_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_where_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_addmm_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_addr_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_asinh_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_atan_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_atanh_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_atleast_3d_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_cholesky_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_chunk_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_conj_physical_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_contiguous_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_cumprod_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_ifftn_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fft_irfft_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fliplr_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_geqrf_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_isclose_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_ldexp_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_lu_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_matrix_norm_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_svd_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_vecdot_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_logsumexp_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_masked_cumsum_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_masked_sum_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_matrix_exp_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_new_ones_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_pixel_unshuffle_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_norm_nuc_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_prod_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_randn_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_renorm_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_rsub_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_short_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_squeeze_multiple_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_sub_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_unbind_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_uniform_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_view___getitem___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__conversions_bool_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_chalf_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_float_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_polar_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_abs_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_allclose_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_amin_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_atleast_3d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_broadcast_tensors_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_cos_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_diagonal_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_div_floor_rounding_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_dstack_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_erf_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_expand_copy_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_hfftn_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fill_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fmax_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_geometric_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_heaviside_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_isposinf_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_lerp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_linalg_svd_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_log_normal_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_logaddexp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_logsumexp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_movedim_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_layer_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_log_softmax_with_dtype_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_poisson_nll_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_roll_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_rsqrt_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_rsub_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_sin_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_xlog1py_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_trunc_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_unsqueeze_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_view_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__softmax_backward_data_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_abs_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_addmm_decomposed_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_argmax_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_argwhere_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_atleast_1d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_atleast_3d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cdist_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cfloat_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_clamp_max_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_cosh_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cov_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cross_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cummax_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_digamma_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_einsum_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_fill_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_geqrf_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_index_select_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_isnan_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_jiterator_binary_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_kron_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_ldl_factor_ex_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_lstsq_grad_oriented_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_multi_dot_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_mm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nanmedian_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_native_layer_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_new_empty_strided_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_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_alpha_dropout_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_bilinear_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_binary_cross_entropy_with_logits_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_conv2d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_cosine_embedding_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_elu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_glu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_hardshrink_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_linear_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_max_pool1d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_pad_circular_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_relu6_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_triplet_margin_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nonzero_static_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_polygamma_polygamma_n_2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_positive_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_pow_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_randn_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_remainder_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_reshape_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_resize__cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_roll_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_round_decimals_0_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_scatter_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_scatter_reduce_amax_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_scatter_reduce_prod_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_searchsorted_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_sigmoid_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_sign_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_signal_windows_nuttall_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_slice_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_airy_ai_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_modified_bessel_i1_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_modified_bessel_k0_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_spherical_bessel_j0_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_xlog1py_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_square_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_tensor_split_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_zeros_cpu_float64, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs__conversions_int_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_abs__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_acos_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_acosh_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_as_strided_copy_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_asin_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_atanh__cpu, 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test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_abs_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_as_strided_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cfloat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_column_stack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_combinations_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_corrcoef_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cosh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_deg2rad_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_double_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_expm1_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_hfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fft_irfft2_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_hstack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_index_fill_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_cholesky_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_lu_factor_ex_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_slogdet_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_tensorsolve_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_masked_median_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_minimum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nanmean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nanmedian_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_layer_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_conv_transpose2d_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_hinge_embedding_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_pad_circular_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_pixel_unshuffle_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_pca_lowrank_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_rad2deg_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_resolve_conj_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_special_i1_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_squeeze_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_std_unbiased_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_tanh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_unsqueeze_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_view_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_vstack_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_acos_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_block_diag_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_cholesky_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_cos_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_cumprod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_div_no_rounding_mode_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_div_trunc_rounding_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_fftshift_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_ifft2_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_fmin_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_linalg_cholesky_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_diagonal_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_matrix_power_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_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_logaddexp2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_logdet_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_masked_var_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_nn_functional_celu_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_dropout_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_hardtanh_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_local_response_norm_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_pool3d_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_poisson_nll_loss_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_normal_number_mean_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_0_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_real_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_reshape_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_select_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_sin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_special_i0e_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_std_mean_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_svd_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_take_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_transpose_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_unsqueeze_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_view_as_complex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_zero__cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_diag_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_diagonal_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_dsplit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_eye_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_hfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_irfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fmin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_histc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_inner_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_int_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_item_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_kron_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_householder_product_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_lu_factor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_multi_dot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_pinv_singular_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_tensorinv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linspace_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_long_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_logsumexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_scatter_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_median_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_movedim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_mul_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nanmean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_native_layer_norm_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_avg_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_binary_cross_entropy_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_huber_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_interpolate_bicubic_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_interpolate_nearest_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_logsigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_max_unpool3d_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_rms_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_triplet_margin_loss_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_normal_number_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_polygamma_polygamma_n_0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_put_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_reshape_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_round_decimals_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_round_decimals_neg_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_rsub_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_scatter_add_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_scatter_reduce_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_searchsorted_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_signal_windows_bartlett_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_signal_windows_general_hamming_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_chebyshev_polynomial_u_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_chebyshev_polynomial_v_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_modified_bessel_i0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_scaled_modified_bessel_k0_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_std_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_std_mean_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_std_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_tan_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_tile_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_triu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_view_as_complex_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_pointwise_ops_addmm_decomposed_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_arange_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_atan2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_baddbmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_bucketize_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_ceil_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cholesky_inverse_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_dsplit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_einsum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_erfc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_erfinv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_rfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_geometric_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_igammac_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_index_reduce_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_index_select_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_int_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_isclose_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_isnan_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_jiterator_unary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_kron_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_eigh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_lstsq_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_lu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_log_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_logsumexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_argmin_cpu_float32, 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test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_modified_bessel_i1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_spherical_bessel_j0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_zeta_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_tensordot_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_trapezoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_tril_indices_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_unfold_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_unfold_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_unique_consecutive_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_view_as_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_view_as_real_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_vsplit_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_linspace_tensor_overload_cpu_complex64, 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_int32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_cpu_int16, 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_float16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_tensor_overload_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_ones_cpu_bfloat16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_arange_cpu_bfloat16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_full_cpu_int16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_cpu_int32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_tensor_overload_cpu_int8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_cpu_float16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_cpu_int16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_ones_cpu_complex128, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_ones_cpu_int16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_zeros_cpu_int32, test/test_ops.py::TestTagsCPU::test_tags___radd___cpu_float32, test/test_ops.py::TestTagsCPU::test_tags___rand___cpu_int64, test/test_ops.py::TestTagsCPU::test_tags___rmod___cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs__conversions_byte_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_allclose_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_atan2_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_atanh_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_atleast_3d_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_bitwise_not_cpu_int64, test/test_ops.py::TestTagsCPU::test_tags__refs_cauchy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_ceil_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_contiguous_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_div_trunc_rounding_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_empty_like_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_empty_strided_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_eq_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_erfinv_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_fft_ifft2_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_igammac_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_imag_cpu_complex64, test/test_ops.py::TestTagsCPU::test_tags__refs_isposinf_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_istft_cpu_complex64, test/test_ops.py::TestTagsCPU::test_tags__refs_linspace_tensor_overload_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_logical_or_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_new_ones_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_gelu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_leaky_relu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_relu6_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_relu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_normal__in_place_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_reciprocal_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_reshape_as_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_special_i0e_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_special_logit_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_special_softmax_with_dtype_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_special_spherical_bessel_j0_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_sum_to_size_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_tan_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_tril_indices_cpu_int64, test/test_ops.py::TestTagsCPU::test_tags__refs_var_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_view_as_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_addcmul_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_addmm_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_alias_copy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_angle_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_arange_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_argmax_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_asinh_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_bfloat16_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_broadcast_tensors_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_clamp_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_cummin_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_cumulative_trapezoid_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_diagonal_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_div_floor_rounding_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_dot_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_empty_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_erfc_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_exponential_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_fft_fft2_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_fft_ihfft2_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_fft_irfftn_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_fmin_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_geqrf_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_grid_sampler_2d_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_half_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_isin_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_jiterator_4inputs_with_extra_args_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_lcm_cpu_int64, test/test_ops.py::TestTagsCPU::test_tags_linalg_pinv_hermitian_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_svd_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_logit_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_masked_mean_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_max_pool2d_with_indices_backward_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_max_reduction_no_dim_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_maximum_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_mean_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_min_binary_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_movedim_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_msort_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_mv_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nanmean_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_ne_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_channel_shuffle_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_dropout_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_elu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_huber_loss_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_linear_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_margin_ranking_loss_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_max_unpool1d_grad_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_one_hot_cpu_int64, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_pairwise_distance_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_relu6_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_softplus_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_softshrink_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_tanhshrink_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_triplet_margin_loss_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_normal_in_place_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_outer_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_randn_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_roll_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_round_decimals_3_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_scatter_reduce_sum_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_select_scatter_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_short_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_signal_windows_general_hamming_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_signal_windows_kaiser_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_slice_scatter_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_softmax_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_softmax_with_dtype_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_entr_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_squeeze_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_sum_to_size_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_to_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_trapezoid_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_trapz_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_tril_indices_cpu_int64, test/test_ops.py::TestTagsCPU::test_tags_var_mean_unbiased_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_vdot_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_view_as_cpu_float32
2025-03-14T05:34:01.9291343Z 
2025-03-14T05:34:05.1602099Z Running torch_np/numpy_tests/core/test_getlimits 1/1 ... [2025-03-14 05:34:05.159759]
2025-03-14T05:34:05.1603050Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:34:05.1605075Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/core/test_getlimits.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'] ... [2025-03-14 05:34:05.160172]
2025-03-14T05:34:09.3306489Z 
2025-03-14T05:34:09.3308345Z torch_np/numpy_tests/core/test_getlimits 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_getlimits_1.1_55fe1178e3788436_.log
2025-03-14T05:34:09.3316050Z Running 17 items in this shard: test/torch_np/numpy_tests/core/test_getlimits.py::TestPythonFloat::test_singleton, test/torch_np/numpy_tests/core/test_getlimits.py::TestHalf::test_singleton, test/torch_np/numpy_tests/core/test_getlimits.py::TestSingle::test_singleton, test/torch_np/numpy_tests/core/test_getlimits.py::TestDouble::test_singleton, test/torch_np/numpy_tests/core/test_getlimits.py::TestFinfo::test_basic, test/torch_np/numpy_tests/core/test_getlimits.py::TestFinfo::test_basic_missing, test/torch_np/numpy_tests/core/test_getlimits.py::TestIinfo::test_basic, test/torch_np/numpy_tests/core/test_getlimits.py::TestIinfo::test_unsigned_max_T0, test/torch_np/numpy_tests/core/test_getlimits.py::TestIinfo::test_unsigned_max_T1, test/torch_np/numpy_tests/core/test_getlimits.py::TestIinfo::test_unsigned_max_T2, test/torch_np/numpy_tests/core/test_getlimits.py::TestIinfo::test_unsigned_max_T3, test/torch_np/numpy_tests/core/test_getlimits.py::TestRepr::test_finfo_repr, test/torch_np/numpy_tests/core/test_getlimits.py::TestRepr::test_iinfo_repr, test/torch_np/numpy_tests/core/test_getlimits.py::TestMisc::test_instances, test/torch_np/numpy_tests/core/test_getlimits.py::TestMisc::test_known_types, test/torch_np/numpy_tests/core/test_getlimits.py::TestMisc::test_plausible_finfo, test/torch_np/numpy_tests/core/test_getlimits.py::TestMisc::test_subnormal_warning
2025-03-14T05:34:09.3322698Z 
2025-03-14T05:34:12.9096378Z 
2025-03-14T05:34:12.9098037Z test_ops 6/8 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_6.8_8f38ce191a5594de_.log
2025-03-14T05:34:13.0624068Z Running 4238 items in this shard: test/test_ops.py::TestCommonCPU::test_compare_cpu___rand___cpu_int64, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_T_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs__conversions_bool_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs__conversions_cfloat_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs__conversions_float_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_arange_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_diagonal_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_fmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_geometric_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_index_copy_cpu_float32, 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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_multi_dot_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_pinv_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_linspace_tensor_overload_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_log10_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_softmax_with_dtype_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_logical_or_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_nextafter_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_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_norm_fro_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_renorm_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_modified_bessel_k1_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_shifted_chebyshev_polynomial_w_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices__unsafe_masked_index_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_addmv_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_alias_copy_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_argmin_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_argmin_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_argsort_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_as_strided_scatter_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_atleast_2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_atleast_3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_bernoulli_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_bincount_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_broadcast_tensors_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_broadcast_to_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_bucketize_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_bucketize_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cartesian_prod_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_cartesian_prod_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cdouble_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_clamp_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_clamp_max_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_combinations_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_conj_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_cummin_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_cumulative_trapezoid_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_diagflat_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_digamma_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_digamma_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_empty_like_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_empty_permuted_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_erfc_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_expand_as_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_expm1_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_fft_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_ifft_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_rfft_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_float_power_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_floor_divide_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_gradient_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_hypot_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_reduce_amax_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_inner_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_isposinf_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_inv_ex_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_matrix_rank_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_norm_subgradients_at_zero_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_pinv_singular_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_tensorinv_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linspace_tensor_overload_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_log_softmax_with_dtype_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_logical_or_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_cumprod_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_log_softmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_softmax_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_matmul_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_matrix_exp_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_max_pool2d_with_indices_backward_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_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_min_reduction_with_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_min_reduction_with_dim_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_movedim_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_mv_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_narrow_copy_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_new_empty_strided_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_new_ones_cpu_int64, 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_elu_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_pad_constant_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pad_reflect_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pixel_unshuffle_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_upsample_bilinear_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nonzero_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_outer_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_permute_copy_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_polygamma_polygamma_n_3_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_polygamma_polygamma_n_4_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_put_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_rad2deg_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_reciprocal_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_remainder_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_repeat_interleave_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_resolve_neg_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_rsqrt_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_scatter_reduce_amax_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_searchsorted_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_select_scatter_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_signal_windows_cosine_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_hann_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_signbit_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_bessel_j1_cpu_int64, 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_i1_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_modified_bessel_i0_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_modified_bessel_k1_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_scaled_modified_bessel_k1_cpu_float32, 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_sqrt_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_square_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_squeeze_multiple_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_stack_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_std_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_svd_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_t_copy_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_t_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_tensor_split_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_to_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_topk_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_trace_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_trace_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_transpose_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_triu_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_unbind_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_unsqueeze_copy_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_var_unbiased_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_vdot_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_view_as_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_zeros_like_cpu_float32, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_add_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_addr_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_bool_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_byte_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_cat_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_combinations_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_conj_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_dsplit_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_flatten_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_float_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_gather_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_hsplit_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_index_select_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_isposinf_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_lgamma_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_logical_not_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_logit_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_long_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_min_reduction_with_dim_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_native_dropout_backward_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_ne_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_nn_functional_cosine_embedding_loss_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_nn_functional_pixel_shuffle_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_permute_copy_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_polygamma_polygamma_n_2_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_real_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_scatter_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_select_scatter_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_sort_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_special_airy_ai_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_i0e_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_special_modified_bessel_i0_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_special_scaled_modified_bessel_k1_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_special_xlog1py_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_sqrt_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_square_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_t_copy_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_tanh_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_unbind_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_unfold_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_unique_consecutive_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_unsqueeze_cpu_bool, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_H_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_T_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples___radd___cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples___rand___cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples___rdiv___cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples___rpow___cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples__chunk_cat_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples__unsafe_masked_index_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_add_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_addbmm_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_addbmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_addbmm_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_addcmul_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_addmm_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_addmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_addmm_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_addmv_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_alias_copy_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_allclose_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_angle_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_any_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_arange_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_argmin_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_argwhere_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_as_strided_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_as_strided_scatter_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_atleast_3d_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_block_diag_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_broadcast_tensors_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_broadcast_to_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_bucketize_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_cholesky_inverse_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_cholesky_solve_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_chunk_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_clamp_max_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_clone_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_column_stack_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_conj_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_conj_physical_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_constant_pad_nd_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_cos_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_cosh_cpu_float32, 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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_interpolate_bicubic_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_kl_div_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_linear_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_pad_constant_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pad_reflect_cpu_complex64, 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_pad_replicate_negative_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pairwise_distance_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_relu_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_softsign_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_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_upsample_bilinear_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_normal_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_normal_number_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_outer_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_pca_lowrank_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_pow_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_prod_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_rand_like_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_ravel_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_repeat_interleave_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_resize__cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_rot90_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_sgn_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_signal_windows_exponential_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_sinh_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_slice_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_slice_scatter_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_softmax_with_dtype_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_bessel_y0_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_bessel_y1_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_chebyshev_polynomial_t_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_erfcx_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_hermite_polynomial_he_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_legendre_polynomial_p_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_ndtr_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_scaled_modified_bessel_k0_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_stack_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_std_unbiased_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_stft_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_svd_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_t_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_take_along_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_tanh_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_to_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_to_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_trace_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_trapz_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_triangular_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_triu_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_unfold_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_unsafe_chunk_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_var_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_var_unbiased_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_vdot_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_view_copy_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_xlogy_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_zeros_like_cpu_complex64, test/test_ops.py::TestCommonCPU::test_numpy_ref_aminmax_cpu_int64, test/test_ops.py::TestCommonCPU::test_numpy_ref_argwhere_cpu_int64, test/test_ops.py::TestCommonCPU::test_numpy_ref_equal_cpu_float64, test/test_ops.py::TestCommonCPU::test_numpy_ref_equal_cpu_int64, test/test_ops.py::TestCommonCPU::test_numpy_ref_item_cpu_int64, test/test_ops.py::TestCommonCPU::test_numpy_ref_jiterator_2inputs_2outputs_cpu_complex128, test/test_ops.py::TestCommonCPU::test_numpy_ref_linalg_cross_cpu_int64, test/test_ops.py::TestCommonCPU::test_numpy_ref_linalg_tensorsolve_cpu_complex128, test/test_ops.py::TestCommonCPU::test_numpy_ref_meshgrid_variadic_tensors_cpu_float64, test/test_ops.py::TestCommonCPU::test_numpy_ref_native_layer_norm_cpu_float64, test/test_ops.py::TestCommonCPU::test_numpy_ref_nn_functional_pairwise_distance_cpu_complex128, test/test_ops.py::TestCommonCPU::test_numpy_ref_roll_cpu_int64, test/test_ops.py::TestCommonCPU::test_numpy_ref_searchsorted_cpu_int64, test/test_ops.py::TestCommonCPU::test_numpy_ref_signal_windows_general_cosine_cpu_float64, test/test_ops.py::TestCommonCPU::test_numpy_ref_signal_windows_general_hamming_cpu_float64, test/test_ops.py::TestCommonCPU::test_numpy_ref_tensor_split_cpu_complex128, test/test_ops.py::TestCommonCPU::test_numpy_ref_tile_cpu_int64, test/test_ops.py::TestCommonCPU::test_numpy_ref_tril_indices_cpu_int64, test/test_ops.py::TestCommonCPU::test_numpy_ref_triu_indices_cpu_int64, test/test_ops.py::TestCommonCPU::test_numpy_ref_view_copy_cpu_complex128, test/test_ops.py::TestCommonCPU::test_numpy_ref_view_copy_cpu_float64, test/test_ops.py::TestCommonCPU::test_numpy_ref_view_copy_cpu_int64, test/test_ops.py::TestCommonCPU::test_out__native_batch_norm_legit_cpu_float32, test/test_ops.py::TestCommonCPU::test_out__refs_T_cpu_float32, test/test_ops.py::TestCommonCPU::test_out__refs__conversions_float_cpu_float32, test/test_ops.py::TestCommonCPU::test_out__refs__conversions_long_cpu_float32, test/test_ops.py::TestCommonCPU::test_out__refs_any_cpu_float32, test/test_ops.py::TestCommonCPU::test_out__refs_arange_cpu_float32, test/test_ops.py::TestCommonCPU::test_out__refs_atleast_1d_cpu_float32, test/test_ops.py::TestCommonCPU::test_out__refs_bitwise_and_cpu_int64, test/test_ops.py::TestCommonCPU::test_out__refs_chunk_cpu_float32, test/test_ops.py::TestCommonCPU::test_out__refs_column_stack_cpu_float32, test/test_ops.py::TestCommonCPU::test_out__refs_constant_pad_nd_cpu_float32, test/test_ops.py::TestCommonCPU::test_out__refs_cos_cpu_float32, test/test_ops.py::TestCommonCPU::test_out__refs_cosh_cpu_float32, test/test_ops.py::TestCommonCPU::test_out__refs_cumsum_cpu_float32, test/test_ops.py::TestCommonCPU::test_out__refs_diag_embed_cpu_float32, test/test_ops.py::TestCommonCPU::test_out__refs_diagonal_cpu_float32, test/test_ops.py::TestCommonCPU::test_out__refs_dot_cpu_float32, test/test_ops.py::TestCommonCPU::test_out__refs_empty_strided_cpu_float32, test/test_ops.py::TestCommonCPU::test_out__refs_erfinv_cpu_float32, test/test_ops.py::TestCommonCPU::test_out__refs_eye_cpu_float32, test/test_ops.py::TestCommonCPU::test_out__refs_fft_irfft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_out__refs_hsplit_cpu_float32, test/test_ops.py::TestCommonCPU::test_out__refs_isneginf_cpu_float32, test/test_ops.py::TestCommonCPU::test_out__refs_isposinf_cpu_float32, test/test_ops.py::TestCommonCPU::test_out__refs_istft_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out__refs_linalg_diagonal_cpu_float32, test/test_ops.py::TestCommonCPU::test_out__refs_logical_not_cpu_float32, test/test_ops.py::TestCommonCPU::test_out__refs_narrow_cpu_float32, test/test_ops.py::TestCommonCPU::test_out__refs_nn_functional_group_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_out__refs_nn_functional_hardtanh_cpu_float32, test/test_ops.py::TestCommonCPU::test_out__refs_nn_functional_pixel_unshuffle_cpu_float32, test/test_ops.py::TestCommonCPU::test_out__refs_nn_functional_relu_cpu_float32, test/test_ops.py::TestCommonCPU::test_out__refs_ones_cpu_float32, test/test_ops.py::TestCommonCPU::test_out__refs_prod_cpu_float32, test/test_ops.py::TestCommonCPU::test_out__refs_reciprocal_cpu_float32, test/test_ops.py::TestCommonCPU::test_out__refs_roll_cpu_float32, test/test_ops.py::TestCommonCPU::test_out__refs_round_cpu_float32, test/test_ops.py::TestCommonCPU::test_out__refs_sgn_cpu_float32, test/test_ops.py::TestCommonCPU::test_out__refs_special_multigammaln_mvlgamma_p_3_cpu_float32, test/test_ops.py::TestCommonCPU::test_out__refs_std_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_out__refs_stft_cpu_float32, test/test_ops.py::TestCommonCPU::test_out__refs_sum_to_size_cpu_float32, test/test_ops.py::TestCommonCPU::test_out__refs_view_as_cpu_float32, 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test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nn_functional_channel_shuffle_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nn_functional_conv2d_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nn_functional_conv_transpose2d_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nn_functional_cross_entropy_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nn_functional_dropout3d_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nn_functional_dropout_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nn_functional_fractional_max_pool2d_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nn_functional_fractional_max_pool3d_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nn_functional_hardsigmoid_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nn_functional_interpolate_area_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nn_functional_max_pool1d_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nn_functional_max_pool2d_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nn_functional_max_unpool3d_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nn_functional_mse_loss_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nn_functional_pad_reflect_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nn_functional_pdist_cpu_float32, 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test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_softmax_with_dtype_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_sort_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_special_chebyshev_polynomial_u_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_special_entr_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_special_scaled_modified_bessel_k0_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_sub_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_transpose_copy_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_zeros_cpu_float32, test/test_ops.py::TestMathBitsCPU::test_conj_view___getitem___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_addr_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_atan_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_constant_pad_nd_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_eq_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_expand_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_ifft_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_index_fill_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_lerp_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_linspace_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_log10_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_narrow_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_ne_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_new_ones_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_norm_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_reciprocal_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_roll_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_sgn_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_sin_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_sinc_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_square_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_sum_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_t_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_take_along_dim_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_unbind_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_unfold_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_unsqueeze_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_abs_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_argwhere_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_as_strided_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_conj_physical_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_constant_pad_nd_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_dstack_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_einsum_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_eq_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_fft_hfftn_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_fft_ifftshift_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_flip_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_fliplr_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_index_put_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_jiterator_2inputs_2outputs_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_diagonal_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_ldl_solve_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_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_multi_dot_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_pinv_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_tensorinv_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_vecdot_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_logaddexp_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_matmul_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_mm_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_pad_replicate_negative_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_pixel_unshuffle_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_norm_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_real_cpu_complex64, 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test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_logical_xor_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_logspace_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_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_renorm_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_special_log_softmax_with_dtype_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_unbind_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_unsqueeze_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_var_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_var_mean_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_add_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_addcdiv_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_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_as_strided_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_bool_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_char_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_diag_embed_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_dist_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_exp_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_expand_as_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fft_irfftn_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_index_put_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_pinv_singular_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_logical_not_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_lu_solve_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_fill_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_matmul_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_movedim_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_mv_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_ne_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_new_empty_strided_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_pow_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_resolve_neg_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_rsqrt_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_scatter_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_std_unbiased_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_t_copy_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_tile_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_to_sparse_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_transpose_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_transpose_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_triangular_solve_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_unfold_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_zeros_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_contiguous_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_count_nonzero_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_div_trunc_rounding_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_exp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_expm1_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_rfftn_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_flipud_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_floor_divide_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_igammac_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_index_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_lgamma_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_log_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_nn_functional_gelu_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_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_pow_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_rad2deg_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_renorm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_repeat_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_entr_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_sqrt_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_sub_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_tanh_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_trace_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_transpose_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_transpose_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_view_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_xlogy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_zeros_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_addbmm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_allclose_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_amin_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_angle_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_atan_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_char_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_clamp_min_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_combinations_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_conj_physical_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cumprod_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_diagonal_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_diff_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_empty_like_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_empty_permuted_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_exponential_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_ifftn_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_ihfft2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fmin_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_frac_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_frexp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_hstack_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_igamma_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_int_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_isclose_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_isin_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_isinf_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_jiterator_unary_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_kthvalue_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_lgamma_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_cholesky_ex_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_ex_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_matrix_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_log_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_log_softmax_with_dtype_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_long_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_amin_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_argmin_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_select_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_min_reduction_with_dim_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_mode_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_mvlgamma_mvlgamma_p_1_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nanmean_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_embedding_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_feature_alpha_dropout_without_train_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_fractional_max_pool2d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_hardswish_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_hardtanh_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_nll_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_pairwise_distance_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_rms_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_smooth_l1_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_softshrink_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_tanhshrink_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_norm_fro_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_normal_in_place_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_normal_number_mean_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_permute_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_polar_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_prod_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_quantile_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_rot90_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_round_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_scatter_add_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_select_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_signal_windows_general_hamming_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_signal_windows_kaiser_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_sinc_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_entr_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_hermite_polynomial_h_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_split_list_args_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_split_with_sizes_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_squeeze_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_squeeze_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_std_mean_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_t_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_tile_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_tril_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_true_divide_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_unflatten_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_unfold_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_uniform_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_unique_consecutive_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_unsqueeze_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_unsqueeze_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_vstack_cpu_float64, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs__conversions_cdouble_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs__conversions_char_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs__conversions_complex_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_abs_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_alias_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_amin_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_bitwise_not_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_bitwise_xor_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_cauchy__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_chunk_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_clamp_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_cumsum__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_deg2rad_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_diag_embed_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_diagonal_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_eq__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_eq_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_erfc__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_fft_ifft_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_fft_ifftn_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_fft_irfft2_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_frac_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_ge__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_igammac__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_index_fill__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_is_complex_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_isnan_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_isposinf_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_mul__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_mvlgamma__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_narrow_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_new_empty_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_new_ones_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_nn_functional_glu_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_nn_functional_hardtanh_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_nn_functional_mish_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_reshape_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_rsqrt__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_rtruediv_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_sin__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_softmax_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_special_xlog1py_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_tanh_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_triu_cpu, 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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_scatter_reduce_sum_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_sinh_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_i0e_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_squeeze_multiple_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_std_mean_unbiased_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_take_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_tan_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_vdot_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___radd___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_addcdiv_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_as_strided_scatter_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_broadcast_to_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_ceil_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_column_stack_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_cov_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_cumulative_trapezoid_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_dist_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_fft_ifft_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_float_power_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_i0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_index_copy_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_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_ex_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_factor_ex_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_vector_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_log1p_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_normalize_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_scatter_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_matmul_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_maximum_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_mul_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_mv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_avg_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_elu_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_feature_alpha_dropout_without_train_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_group_norm_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_bicubic_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_max_unpool3d_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_repeat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_resolve_conj_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_select_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_sign_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_squeeze_copy_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_trapezoid_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_unsafe_chunk_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_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_view_as_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cummin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_diag_embed_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_empty_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_fftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_hfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_ifft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_ihfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_full_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_hstack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_index_fill_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_index_reduce_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_lerp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_eigh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_lstsq_grad_oriented_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_lu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_matrix_rank_hermitian_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_solve_triangular_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_vector_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_logsumexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_mT_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_cumsum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_log_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_matmul_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_max_binary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_meshgrid_variadic_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_mvlgamma_mvlgamma_p_1_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_avg_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_channel_shuffle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_conv2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_dropout2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_fractional_max_pool3d_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_hardtanh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_layer_norm_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_max_unpool1d_grad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_normalize_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_unfold_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_normal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_polar_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_pow_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_rad2deg_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_real_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_renorm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_signal_windows_gaussian_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_signal_windows_nuttall_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_airy_ai_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_entr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_hermite_polynomial_he_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_i1e_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_log_ndtr_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_zeta_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_sqrt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_squeeze_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_squeeze_multiple_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_t_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_tensor_split_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_transpose_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_triangular_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_unsafe_split_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_view_as_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_view_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops___rdiv___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops__chunk_cat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_add_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_addcdiv_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_argmin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_as_strided_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_as_strided_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_atanh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_bitwise_right_shift_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_block_diag_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cfloat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_chalf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_column_stack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_expand_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_exponential_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_fft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_fftshift_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_ifftshift_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_hstack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_isin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_isinf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_istft_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_ldexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_eigvalsh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_householder_product_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_matrix_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_vector_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_logical_xor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_lu_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_cumprod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_normalize_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_softmin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_meshgrid_list_of_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_mm_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_conv2d_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_huber_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_max_unpool2d_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_softsign_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_unfold_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_nonzero_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_ones_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_quantile_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_randn_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_reshape_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_resize_as__cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_searchsorted_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_cosine_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_sin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_sort_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_sparse_sampled_addmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_entr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_i1e_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_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_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_split_with_sizes_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_to_size_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_t_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_take_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_tanh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_tile_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_to_sparse_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_transpose_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_unbind_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_unravel_index_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_view_copy_cpu_float32, 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_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_linspace_cpu_complex128, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_tensor_overload_cpu_complex128, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_cpu_int32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_ones_cpu_bool, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_ones_cpu_float16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_ones_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_zeros_cpu_int16, 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_float16, 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_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_tensor_overload_cpu_bfloat16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_tensor_overload_cpu_int8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_ones_cpu_bool, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_ones_cpu_int32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_zeros_cpu_bool, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_zeros_cpu_uint8, test/test_ops.py::TestTagsCPU::test_tags_T_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags___rdiv___cpu_float32, test/test_ops.py::TestTagsCPU::test_tags___ror___cpu_int64, test/test_ops.py::TestTagsCPU::test_tags__refs__conversions_bfloat16_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs__conversions_char_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_bitwise_or_cpu_int64, test/test_ops.py::TestTagsCPU::test_tags__refs_broadcast_shapes_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_chunk_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_equal_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_expand_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_fft_fftn_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_fft_hfft2_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_fft_rfft_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_fmin_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_heaviside_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_hypot_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_linalg_vector_norm_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_logaddexp_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_logical_not_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_logical_xor_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_logsumexp_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_lt_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_nn_functional_channel_shuffle_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_pairwise_distance_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_permute_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_randn_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_ravel_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_rot90_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_rsqrt_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_sinc_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_std_mean_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_take_along_dim_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_tril_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_true_divide_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_unsqueeze_copy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_view_as_complex_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_view_copy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_where_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_addcdiv_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_amax_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_amin_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_argwhere_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_atan_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_atanh_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_cholesky_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_combinations_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_conj_physical_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_cumsum_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_diagflat_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_diff_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_dsplit_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_einsum_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_empty_strided_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_erf_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_expand_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_expm1_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_fft_hfft2_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_fft_rfft2_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_fill_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_flatten_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_frac_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_gcd_cpu_int64, test/test_ops.py::TestTagsCPU::test_tags_hsplit_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_hypot_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_igamma_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_index_put_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_index_reduce_amin_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_jiterator_2inputs_2outputs_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_jiterator_binary_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_inv_ex_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_lstsq_grad_oriented_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_lu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_lu_factor_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_matrix_rank_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_matrix_rank_hermitian_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_vecdot_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_vector_norm_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linspace_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_logaddexp2_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_logical_xor_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_masked_scatter_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_median_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_meshgrid_list_of_tensors_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nan_to_num_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nansum_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_new_zeros_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_conv3d_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_conv_transpose3d_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_cosine_similarity_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_embedding_bag_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_fractional_max_pool3d_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_grid_sample_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_interpolate_area_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_logsigmoid_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_max_pool1d_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_multilabel_margin_loss_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_poisson_nll_loss_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_rms_norm_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_smooth_l1_loss_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_upsample_bilinear_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_permute_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_positive_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_rad2deg_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_repeat_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_scatter_add_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_scatter_reduce_amax_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_sigmoid_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_signal_windows_gaussian_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_signbit_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_i1_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_i1e_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_modified_bessel_i1_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_xlog1py_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_std_mean_unbiased_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_sum_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_svd_lowrank_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_unfold_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_unique_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_var_cpu_float32
2025-03-14T05:34:13.2078313Z 
2025-03-14T05:34:13.7947495Z Running torch_np/numpy_tests/lib/test_shape_base_ 1/1 ... [2025-03-14 05:34:13.793762]
2025-03-14T05:34:13.7948531Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:34:13.7950748Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 05:34:13.794210]
2025-03-14T05:34:17.6243262Z Running test_view_ops 1/1 ... [2025-03-14 05:34:17.623798]
2025-03-14T05:34:17.6244112Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:34:17.6250578Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_view_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'] ... [2025-03-14 05:34:17.624237]
2025-03-14T05:34:18.2671516Z 
2025-03-14T05:34:18.2674058Z 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_1382519c77f3bc89_.log
2025-03-14T05:34:18.2725064Z 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
2025-03-14T05:34:18.2867478Z 
2025-03-14T05:34:22.6000844Z Running test_jit_autocast 1/1 ... [2025-03-14 05:34:22.599575]
2025-03-14T05:34:22.6001704Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:34:22.6003967Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 05:34:22.600019]
2025-03-14T05:34:48.5022539Z 
2025-03-14T05:34:48.5025272Z test_jit_autocast 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_autocast_1.1_0b4a544bd3eec7f6_.log
2025-03-14T05:34:48.5054470Z 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
2025-03-14T05:34:48.5086207Z 
2025-03-14T05:34:48.5936891Z 
2025-03-14T05:34:48.5938287Z test_view_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_view_ops_1.1_cf2538b9be753fe1_.log
2025-03-14T05:34:48.6195669Z Running 442 items in this shard: test/test_view_ops.py::TestViewOpsCPU::test_T_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_advanced_indexing_assignment_cpu, test/test_view_ops.py::TestViewOpsCPU::test_advanced_indexing_nonview_cpu, test/test_view_ops.py::TestViewOpsCPU::test_as_strided_gradients_cpu, test/test_view_ops.py::TestViewOpsCPU::test_as_strided_inplace_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_as_strided_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_basic_indexing_ellipses_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_basic_indexing_newaxis_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_basic_indexing_slice_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_chunk_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_conj_imag_view_cpu_complex128, test/test_view_ops.py::TestViewOpsCPU::test_conj_imag_view_cpu_complex64, test/test_view_ops.py::TestViewOpsCPU::test_conj_self_cpu_bfloat16, test/test_view_ops.py::TestViewOpsCPU::test_conj_self_cpu_float16, test/test_view_ops.py::TestViewOpsCPU::test_conj_self_cpu_float32, test/test_view_ops.py::TestViewOpsCPU::test_conj_self_cpu_float64, test/test_view_ops.py::TestViewOpsCPU::test_conj_self_cpu_int16, test/test_view_ops.py::TestViewOpsCPU::test_conj_self_cpu_int32, test/test_view_ops.py::TestViewOpsCPU::test_conj_self_cpu_int64, test/test_view_ops.py::TestViewOpsCPU::test_conj_self_cpu_int8, test/test_view_ops.py::TestViewOpsCPU::test_conj_self_cpu_uint8, test/test_view_ops.py::TestViewOpsCPU::test_conj_view_with_shared_memory_cpu, test/test_view_ops.py::TestViewOpsCPU::test_contiguous_nonview_cpu, test/test_view_ops.py::TestViewOpsCPU::test_contiguous_self_cpu, test/test_view_ops.py::TestViewOpsCPU::test_diagonal_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_expand_as_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_expand_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_flatten_nonview_cpu, 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test/test_view_ops.py::TestViewOpsCPU::test_real_imag_view_cpu_complex64, test/test_view_ops.py::TestViewOpsCPU::test_reshape_as_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_reshape_nonview_cpu, test/test_view_ops.py::TestViewOpsCPU::test_reshape_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_select_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex128_bfloat16, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex128_bool, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex128_complex128, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex128_complex64, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex128_float16, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex128_float32, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex128_float64, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex128_int16, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex128_int32, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex128_int64, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex128_int8, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex128_uint8, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex64_bfloat16, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex64_bool, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex64_complex128, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex64_complex64, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex64_float16, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex64_float32, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex64_float64, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex64_int16, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex64_int32, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex64_int64, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex64_int8, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex64_uint8, test/test_view_ops.py::TestViewOpsCPU::test_split_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_squeeze_inplace_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_squeeze_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_t_inplace_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_t_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_transpose_inplace_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_transpose_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_unbind_cpu, test/test_view_ops.py::TestViewOpsCPU::test_unbind_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_unfold_view_cpu, 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test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_new_cpu_float32, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_new_cpu_float64, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_new_cpu_int16, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_new_cpu_int32, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_new_cpu_int64, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_new_cpu_int8, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_new_cpu_uint8, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_upsize_errors_cpu_bfloat16, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_upsize_errors_cpu_bool, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_upsize_errors_cpu_complex128, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_upsize_errors_cpu_complex64, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_upsize_errors_cpu_float16, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_upsize_errors_cpu_float32, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_upsize_errors_cpu_float64, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_upsize_errors_cpu_int16, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_upsize_errors_cpu_int32, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_upsize_errors_cpu_int64, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_upsize_errors_cpu_int8, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_upsize_errors_cpu_uint8, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_dsplit_cpu_bfloat16, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_dsplit_cpu_bool, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_dsplit_cpu_complex128, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_dsplit_cpu_complex64, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_dsplit_cpu_float16, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_dsplit_cpu_float32, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_dsplit_cpu_float64, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_dsplit_cpu_int16, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_dsplit_cpu_int32, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_dsplit_cpu_int64, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_dsplit_cpu_int8, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_dsplit_cpu_uint8, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_hsplit_cpu_bfloat16, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_hsplit_cpu_bool, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_hsplit_cpu_complex128, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_hsplit_cpu_complex64, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_hsplit_cpu_float16, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_hsplit_cpu_float32, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_hsplit_cpu_float64, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_hsplit_cpu_int16, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_hsplit_cpu_int32, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_hsplit_cpu_int64, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_hsplit_cpu_int8, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_hsplit_cpu_uint8, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_split_cpu_bfloat16, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_split_cpu_bool, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_split_cpu_complex128, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_split_cpu_complex64, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_split_cpu_float16, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_split_cpu_float32, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_split_cpu_float64, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_split_cpu_int16, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_split_cpu_int32, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_split_cpu_int64, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_split_cpu_int8, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_split_cpu_uint8, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_vsplit_cpu_bfloat16, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_vsplit_cpu_bool, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_vsplit_cpu_complex128, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_vsplit_cpu_complex64, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_vsplit_cpu_float16, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_vsplit_cpu_float32, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_vsplit_cpu_float64, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_vsplit_cpu_int16, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_vsplit_cpu_int32, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_vsplit_cpu_int64, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_vsplit_cpu_int8, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_vsplit_cpu_uint8, test/test_view_ops.py::TestViewOpsCPU::test_view_view_cpu, test/test_view_ops.py::TestViewOpsLAZY::test_T_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_advanced_indexing_assignment_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_advanced_indexing_nonview_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_as_strided_gradients_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_as_strided_inplace_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_as_strided_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_basic_indexing_ellipses_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_basic_indexing_newaxis_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_basic_indexing_slice_view_lazy, 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test/test_view_ops.py::TestViewOpsLAZY::test_contiguous_self_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_diagonal_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_expand_as_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_expand_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_flatten_nonview_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_flatten_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_imag_noncomplex_lazy_bfloat16, test/test_view_ops.py::TestViewOpsLAZY::test_imag_noncomplex_lazy_float16, test/test_view_ops.py::TestViewOpsLAZY::test_imag_noncomplex_lazy_float32, test/test_view_ops.py::TestViewOpsLAZY::test_imag_noncomplex_lazy_float64, test/test_view_ops.py::TestViewOpsLAZY::test_imag_noncomplex_lazy_int16, test/test_view_ops.py::TestViewOpsLAZY::test_imag_noncomplex_lazy_int32, test/test_view_ops.py::TestViewOpsLAZY::test_imag_noncomplex_lazy_int64, test/test_view_ops.py::TestViewOpsLAZY::test_imag_noncomplex_lazy_int8, test/test_view_ops.py::TestViewOpsLAZY::test_imag_noncomplex_lazy_uint8, test/test_view_ops.py::TestViewOpsLAZY::test_movedim_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_narrow_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_permute_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_real_imag_view_lazy_complex128, test/test_view_ops.py::TestViewOpsLAZY::test_real_imag_view_lazy_complex64, test/test_view_ops.py::TestViewOpsLAZY::test_reshape_as_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_reshape_nonview_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_reshape_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_select_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex128_bfloat16, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex128_bool, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex128_complex128, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex128_complex64, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex128_float16, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex128_float32, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex128_float64, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex128_int16, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex128_int32, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex128_int64, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex128_int8, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex128_uint8, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex64_bfloat16, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex64_bool, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex64_complex128, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex64_complex64, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex64_float16, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex64_float32, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex64_float64, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex64_int16, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex64_int32, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex64_int64, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex64_int8, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex64_uint8, test/test_view_ops.py::TestViewOpsLAZY::test_split_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_squeeze_inplace_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_squeeze_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_t_inplace_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_t_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_transpose_inplace_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_transpose_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_unbind_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_unbind_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_unfold_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_unsqueeze_inplace_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_unsqueeze_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_view_as_complex_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_view_as_real_lazy_complex128, test/test_view_ops.py::TestViewOpsLAZY::test_view_as_real_lazy_complex32, test/test_view_ops.py::TestViewOpsLAZY::test_view_as_real_lazy_complex64, test/test_view_ops.py::TestViewOpsLAZY::test_view_as_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_view_copy_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_view_copy_out_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_view_copy_output_contiguous_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_new_lazy_bool, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_new_lazy_complex128, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_new_lazy_complex64, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_new_lazy_float16, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_new_lazy_float32, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_new_lazy_float64, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_new_lazy_int16, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_new_lazy_int32, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_new_lazy_int64, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_new_lazy_int8, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_new_lazy_uint8, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_upsize_errors_lazy_bfloat16, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_upsize_errors_lazy_bool, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_upsize_errors_lazy_complex128, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_upsize_errors_lazy_complex64, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_upsize_errors_lazy_float16, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_upsize_errors_lazy_float32, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_upsize_errors_lazy_float64, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_upsize_errors_lazy_int16, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_upsize_errors_lazy_int32, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_upsize_errors_lazy_int64, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_upsize_errors_lazy_int8, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_upsize_errors_lazy_uint8, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_dsplit_lazy_bfloat16, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_dsplit_lazy_bool, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_dsplit_lazy_complex128, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_dsplit_lazy_complex64, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_dsplit_lazy_float16, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_dsplit_lazy_float32, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_dsplit_lazy_float64, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_dsplit_lazy_int16, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_dsplit_lazy_int32, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_dsplit_lazy_int64, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_dsplit_lazy_int8, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_dsplit_lazy_uint8, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_hsplit_lazy_bfloat16, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_hsplit_lazy_bool, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_hsplit_lazy_complex128, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_hsplit_lazy_complex64, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_hsplit_lazy_float16, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_hsplit_lazy_float32, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_hsplit_lazy_float64, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_hsplit_lazy_int16, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_hsplit_lazy_int32, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_hsplit_lazy_int64, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_hsplit_lazy_int8, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_hsplit_lazy_uint8, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_split_lazy_bfloat16, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_split_lazy_bool, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_split_lazy_complex128, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_split_lazy_complex64, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_split_lazy_float16, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_split_lazy_float32, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_split_lazy_float64, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_split_lazy_int16, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_split_lazy_int32, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_split_lazy_int64, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_split_lazy_int8, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_split_lazy_uint8, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_vsplit_lazy_bfloat16, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_vsplit_lazy_bool, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_vsplit_lazy_complex128, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_vsplit_lazy_complex64, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_vsplit_lazy_float16, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_vsplit_lazy_float32, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_vsplit_lazy_float64, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_vsplit_lazy_int16, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_vsplit_lazy_int32, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_vsplit_lazy_int64, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_vsplit_lazy_int8, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_vsplit_lazy_uint8, test/test_view_ops.py::TestViewOpsLAZY::test_view_view_lazy, test/test_view_ops.py::TestOldViewOpsCPU::test_T_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_as_strided_overflow_storage_offset_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_atleast_cpu_complex128, test/test_view_ops.py::TestOldViewOpsCPU::test_atleast_cpu_complex64, test/test_view_ops.py::TestOldViewOpsCPU::test_atleast_cpu_float16, test/test_view_ops.py::TestOldViewOpsCPU::test_atleast_cpu_float32, test/test_view_ops.py::TestOldViewOpsCPU::test_atleast_cpu_float64, test/test_view_ops.py::TestOldViewOpsCPU::test_atleast_cpu_int16, test/test_view_ops.py::TestOldViewOpsCPU::test_atleast_cpu_int32, test/test_view_ops.py::TestOldViewOpsCPU::test_atleast_cpu_int64, test/test_view_ops.py::TestOldViewOpsCPU::test_atleast_cpu_int8, test/test_view_ops.py::TestOldViewOpsCPU::test_atleast_cpu_uint8, test/test_view_ops.py::TestOldViewOpsCPU::test_atleast_gradient_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_big_transpose_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_broadcast_shapes_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_broadcast_tensors_cpu_float32, test/test_view_ops.py::TestOldViewOpsCPU::test_broadcast_to_cpu_bool, test/test_view_ops.py::TestOldViewOpsCPU::test_broadcast_to_cpu_complex128, test/test_view_ops.py::TestOldViewOpsCPU::test_broadcast_to_cpu_complex64, test/test_view_ops.py::TestOldViewOpsCPU::test_broadcast_to_cpu_float16, test/test_view_ops.py::TestOldViewOpsCPU::test_broadcast_to_cpu_float32, test/test_view_ops.py::TestOldViewOpsCPU::test_broadcast_to_cpu_float64, test/test_view_ops.py::TestOldViewOpsCPU::test_broadcast_to_cpu_int16, test/test_view_ops.py::TestOldViewOpsCPU::test_broadcast_to_cpu_int32, test/test_view_ops.py::TestOldViewOpsCPU::test_broadcast_to_cpu_int64, test/test_view_ops.py::TestOldViewOpsCPU::test_broadcast_to_cpu_int8, test/test_view_ops.py::TestOldViewOpsCPU::test_broadcast_to_cpu_uint8, test/test_view_ops.py::TestOldViewOpsCPU::test_chunk_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_conj_neg_view_numpy_error_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_contiguous_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_crow_col_indices_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_empty_reshape_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_expand_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_flatten_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_memory_format_resize__cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_memory_format_resize_as_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_narrow_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_narrow_tensor_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_python_types_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_ravel_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_reshape_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_reshape_view_semantics_cpu_bfloat16, test/test_view_ops.py::TestOldViewOpsCPU::test_reshape_view_semantics_cpu_bool, test/test_view_ops.py::TestOldViewOpsCPU::test_reshape_view_semantics_cpu_complex128, test/test_view_ops.py::TestOldViewOpsCPU::test_reshape_view_semantics_cpu_complex64, test/test_view_ops.py::TestOldViewOpsCPU::test_reshape_view_semantics_cpu_float16, test/test_view_ops.py::TestOldViewOpsCPU::test_reshape_view_semantics_cpu_float32, test/test_view_ops.py::TestOldViewOpsCPU::test_reshape_view_semantics_cpu_float64, test/test_view_ops.py::TestOldViewOpsCPU::test_reshape_view_semantics_cpu_int16, test/test_view_ops.py::TestOldViewOpsCPU::test_reshape_view_semantics_cpu_int32, test/test_view_ops.py::TestOldViewOpsCPU::test_reshape_view_semantics_cpu_int64, test/test_view_ops.py::TestOldViewOpsCPU::test_reshape_view_semantics_cpu_int8, test/test_view_ops.py::TestOldViewOpsCPU::test_reshape_view_semantics_cpu_uint8, test/test_view_ops.py::TestOldViewOpsCPU::test_resize_all_dtypes_and_devices_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_resize_as_all_dtypes_and_devices_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_resize_as_preserves_strides_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_resize_overflow_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_split_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_t_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_errors_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_indices_cpu_bool, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_indices_cpu_complex128, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_indices_cpu_complex64, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_indices_cpu_float16, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_indices_cpu_float32, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_indices_cpu_float64, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_indices_cpu_int16, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_indices_cpu_int32, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_indices_cpu_int64, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_indices_cpu_int8, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_indices_cpu_uint8, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_sections_cpu_bool, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_sections_cpu_complex128, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_sections_cpu_complex64, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_sections_cpu_float16, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_sections_cpu_float32, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_sections_cpu_float64, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_sections_cpu_int16, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_sections_cpu_int32, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_sections_cpu_int64, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_sections_cpu_int8, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_sections_cpu_uint8, test/test_view_ops.py::TestOldViewOpsCPU::test_transpose_invalid_cpu_complex128, test/test_view_ops.py::TestOldViewOpsCPU::test_transpose_invalid_cpu_float32, test/test_view_ops.py::TestOldViewOpsCPU::test_transpose_invalid_cpu_int64, test/test_view_ops.py::TestOldViewOpsCPU::test_transpose_vs_numpy_cpu_complex128, test/test_view_ops.py::TestOldViewOpsCPU::test_transpose_vs_numpy_cpu_float32, test/test_view_ops.py::TestOldViewOpsCPU::test_transpose_vs_numpy_cpu_int64, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_cpu_bfloat16, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_cpu_bool, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_cpu_complex128, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_cpu_complex64, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_cpu_float16, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_cpu_float32, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_cpu_float64, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_cpu_int16, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_cpu_int32, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_cpu_int64, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_cpu_int8, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_cpu_uint8, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_errors_cpu_bfloat16, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_errors_cpu_bool, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_errors_cpu_complex128, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_errors_cpu_complex64, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_errors_cpu_float16, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_errors_cpu_float32, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_errors_cpu_float64, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_errors_cpu_int16, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_errors_cpu_int32, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_errors_cpu_int64, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_errors_cpu_int8, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_errors_cpu_uint8, test/test_view_ops.py::TestOldViewOpsCPU::test_unsqueeze_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_view_all_dtypes_and_devices_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_view_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_view_empty_cpu
2025-03-14T05:34:48.6453619Z 
2025-03-14T05:34:50.2275908Z Uploading artifacts took 1.71 seconds
2025-03-14T05:34:52.4944224Z Running nn/test_init 1/1 ... [2025-03-14 05:34:52.493347]
2025-03-14T05:34:52.4945059Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:34:52.4947076Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 05:34:52.493685]
2025-03-14T05:34:52.6195885Z Running test_xnnpack_integration 1/1 ... [2025-03-14 05:34:52.618624]
2025-03-14T05:34:52.6196823Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:34:52.6199066Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 05:34:52.619051]
2025-03-14T05:35:02.4033365Z 
2025-03-14T05:35:02.4034689Z nn/test_init 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_init_1.1_f08e85cdf35642c6_.log
2025-03-14T05:35:02.4052020Z 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
2025-03-14T05:35:02.4069424Z 
2025-03-14T05:35:08.1451152Z 
2025-03-14T05:35:08.1452563Z test_xnnpack_integration 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_xnnpack_integration_1.1_c66d2fd03a75a14e_.log
2025-03-14T05:35:08.1457651Z 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
2025-03-14T05:35:08.1462111Z 
2025-03-14T05:35:08.3632232Z Running profiler/test_profiler_tree 1/1 ... [2025-03-14 05:35:08.362612]
2025-03-14T05:35:08.3633409Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:35:08.3636440Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 05:35:08.363037]
2025-03-14T05:35:12.3916564Z Running torch_np/test_ndarray_methods 1/1 ... [2025-03-14 05:35:12.391162]
2025-03-14T05:35:12.3917787Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:35:12.3924740Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/test_ndarray_methods.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'] ... [2025-03-14 05:35:12.391613]
2025-03-14T05:35:13.0482641Z 
2025-03-14T05:35:13.0484483Z 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_c72913b2ae62361f_.log
2025-03-14T05:35:13.0495016Z 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
2025-03-14T05:35:13.0504608Z 
2025-03-14T05:35:18.2741987Z Running test_jit 1/1 ... [2025-03-14 05:35:18.273784]
2025-03-14T05:35:18.2745621Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:35:18.2747609Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 05:35:18.274198]
2025-03-14T05:35:23.1129492Z 
2025-03-14T05:35:23.1130975Z torch_np/test_ndarray_methods 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_ndarray_methods_1.1_279230aa001ea998_.log
2025-03-14T05:35:23.1417030Z Running 342 items in this shard: test/torch_np/test_ndarray_methods.py::TestIndexing::test_indexing_simple, test/torch_np/test_ndarray_methods.py::TestIndexing::test_setitem, test/torch_np/test_ndarray_methods.py::TestReshape::test_reshape_function, test/torch_np/test_ndarray_methods.py::TestReshape::test_reshape_method, test/torch_np/test_ndarray_methods.py::TestTranspose::test_transpose_function, test/torch_np/test_ndarray_methods.py::TestTranspose::test_transpose_method, test/torch_np/test_ndarray_methods.py::TestRavel::test_ravel_function, test/torch_np/test_ndarray_methods.py::TestRavel::test_ravel_method, test/torch_np/test_ndarray_methods.py::TestNonzero::test_array_method, test/torch_np/test_ndarray_methods.py::TestNonzero::test_nonzero_onedim, test/torch_np/test_ndarray_methods.py::TestNonzero::test_nonzero_trivial, test/torch_np/test_ndarray_methods.py::TestNonzero::test_nonzero_twodim, test/torch_np/test_ndarray_methods.py::TestNonzero::test_sparse, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_all_method_max, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_all_method_min, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size0_axis0_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size0_axis0_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size10_axis_-1_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size10_axis_-1_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size11_axis_0_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size11_axis_0_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size12_axis_1_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size12_axis_1_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size13_axis13_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size13_axis13_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size14_axis_-2_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size14_axis_-2_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size15_axis_-1_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size15_axis_-1_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size16_axis_0_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size16_axis_0_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size17_axis_1_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size17_axis_1_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size18_axis18_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size18_axis18_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size19_axis_-3_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size19_axis_-3_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size1_axis_-1_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size1_axis_-1_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size20_axis_-2_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size20_axis_-2_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size21_axis_-1_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size21_axis_-1_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size22_axis_0_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size22_axis_0_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size23_axis_1_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size23_axis_1_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size24_axis_2_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size24_axis_2_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size25_axis25_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size25_axis25_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size26_axis_-3_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size26_axis_-3_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size27_axis_-2_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size27_axis_-2_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size28_axis_-1_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size28_axis_-1_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size29_axis_0_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size29_axis_0_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size2_axis_0_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size2_axis_0_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size30_axis_1_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size30_axis_1_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size31_axis_2_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size31_axis_2_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size32_axis32_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size32_axis32_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size33_axis_-4_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size33_axis_-4_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size34_axis_-3_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size34_axis_-3_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size35_axis_-2_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size35_axis_-2_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size36_axis_-1_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size36_axis_-1_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size37_axis_0_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size37_axis_0_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size38_axis_1_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size38_axis_1_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size39_axis_2_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size39_axis_2_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size3_axis3_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size3_axis3_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size40_axis_3_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size40_axis_3_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size41_axis41_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size41_axis41_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size42_axis_-4_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size42_axis_-4_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size43_axis_-3_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size43_axis_-3_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size44_axis_-2_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size44_axis_-2_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size45_axis_-1_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size45_axis_-1_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size46_axis_0_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size46_axis_0_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size47_axis_1_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size47_axis_1_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size48_axis_2_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size48_axis_2_method1, 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test/torch_np/test_ndarray_methods.py::TestNoExtraMethods::test_extra_methods_name_plain, test/torch_np/test_ndarray_methods.py::TestNoExtraMethods::test_extra_methods_name_rvar, test/torch_np/test_ndarray_methods.py::TestIter::test_iter_1d, test/torch_np/test_ndarray_methods.py::TestIter::test_iter_2d
2025-03-14T05:35:23.1690391Z 
2025-03-14T05:35:27.2261611Z Running test_serialization 1/1 ... [2025-03-14 05:35:27.225779]
2025-03-14T05:35:27.2262152Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:35:27.2264412Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 05:35:27.226171]
2025-03-14T05:36:49.7653065Z 
2025-03-14T05:36:49.7654793Z test_serialization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_serialization_1.1_e72d8b3bc04deff3_.log
2025-03-14T05:36:49.8328482Z 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
2025-03-14T05:36:49.8489234Z 
2025-03-14T05:37:12.2252955Z Running torch_np/numpy_tests/lib/test_twodim_base 1/1 ... [2025-03-14 05:37:12.224809]
2025-03-14T05:37:12.2253980Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:37:12.2256613Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_twodim_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'] ... [2025-03-14 05:37:12.225246]
2025-03-14T05:37:16.7992278Z 
2025-03-14T05:37:16.7996060Z torch_np/numpy_tests/lib/test_twodim_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_twodim_base_1.1_cd5282b862366cce_.log
2025-03-14T05:37:16.8009870Z Running 34 items in this shard: test/torch_np/numpy_tests/lib/test_twodim_base.py::TestEye::test_2d, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestEye::test_basic, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestEye::test_bool, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestEye::test_diag, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestEye::test_diag2d, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestEye::test_eye_bounds, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestEye::test_order, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestDiag::test_diag_bounds, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestDiag::test_failure, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestDiag::test_fortran_order, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestDiag::test_matrix, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestDiag::test_vector, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestFliplr::test_basic, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestFlipud::test_basic, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestHistogram2d::test_all_outliers, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestHistogram2d::test_asym, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestHistogram2d::test_bad_length_x_len_10_y_len_11, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestHistogram2d::test_bad_length_x_len_20_y_len_19, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestHistogram2d::test_binparameter_combination, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestHistogram2d::test_density, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestHistogram2d::test_empty, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestHistogram2d::test_simple, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestTri::test_dtype, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestTri::test_mask_indices, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestTri::test_tril_indices, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestTri::test_tril_triu_dtype, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestTri::test_tril_triu_ndim2, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestTri::test_tril_triu_ndim3, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestTri::test_tril_triu_with_inf, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestTriuIndices::test_triu_indices, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestTrilIndicesFrom::test_exceptions, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestTriuIndicesFrom::test_exceptions, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestVander::test_basic, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestVander::test_dtypes
2025-03-14T05:37:16.8021788Z 
2025-03-14T05:37:20.6792237Z Running lazy/test_reuse_ir 1/1 ... [2025-03-14 05:37:20.678774]
2025-03-14T05:37:20.6793060Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:37:20.6795403Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'lazy/test_reuse_ir.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'] ... [2025-03-14 05:37:20.679184]
2025-03-14T05:37:25.7027421Z 
2025-03-14T05:37:25.7029262Z lazy/test_reuse_ir 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_reuse_ir_1.1_10c91101f4e1ceb3_.log
2025-03-14T05:37:25.7033442Z Running 4 items in this shard: test/lazy/test_reuse_ir.py::TestLazyReuseIr::testAdd, test/lazy/test_reuse_ir.py::TestLazyReuseIr::testAddSub, test/lazy/test_reuse_ir.py::TestLazyReuseIr::testAddSubFallback, test/lazy/test_reuse_ir.py::TestLazyReuseIr::testBatchNorm
2025-03-14T05:37:25.7035977Z 
2025-03-14T05:37:30.6304764Z Running torch_np/numpy_tests/core/test_numerictypes 1/1 ... [2025-03-14 05:37:30.630095]
2025-03-14T05:37:30.6305512Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:37:30.6307528Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 05:37:30.630482]
2025-03-14T05:37:34.8014219Z 
2025-03-14T05:37:34.8015884Z 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_233ba1a51b29a094_.log
2025-03-14T05:37:34.8032066Z 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
2025-03-14T05:37:34.8047584Z 
2025-03-14T05:37:34.8590156Z 
2025-03-14T05:37:34.9434844Z test_jit 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_1.1_e4ce6f539d7895f6_.log
2025-03-14T05:37:35.0106954Z Running 2456 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, test/test_jit.py::TestTracer::test_input_list_toplevel_flatten_direct, test/test_jit.py::TestTracer::test_input_tuple_of_dicts, test/test_jit.py::TestTracer::test_interpolate_trace, test/test_jit.py::TestTracer::test_large_nbr_kernel_args, test/test_jit.py::TestTracer::test_lhs_index_fails, test/test_jit.py::TestTracer::test_lhs_index_trivial, test/test_jit.py::TestTracer::test_max_pool, test/test_jit.py::TestTracer::test_nested_inplace, test/test_jit.py::TestTracer::test_non_tensor_tracing, test/test_jit.py::TestTracer::test_output_unflatten, test/test_jit.py::TestTracer::test_python_function, test/test_jit.py::TestTracer::test_python_function_tup, test/test_jit.py::TestTracer::test_repeated_input, test/test_jit.py::TestTracer::test_repeated_output, test/test_jit.py::TestTracer::test_shared_param, test/test_jit.py::TestTracer::test_simple, test/test_jit.py::TestTracer::test_tensor_with_grad_as_constant, test/test_jit.py::TestTracer::test_trace_aliased_parameter, test/test_jit.py::TestTracer::test_trace_annotation, test/test_jit.py::TestTracer::test_trace_arange, test/test_jit.py::TestTracer::test_trace_arange_with_grad, test/test_jit.py::TestTracer::test_trace_autograd_function, test/test_jit.py::TestTracer::test_trace_casts, test/test_jit.py::TestTracer::test_trace_checker_control_flow, test/test_jit.py::TestTracer::test_trace_checker_dot_data, test/test_jit.py::TestTracer::test_trace_checker_dropout_notrain, test/test_jit.py::TestTracer::test_trace_checker_dropout_train, test/test_jit.py::TestTracer::test_trace_checker_inplace_on_view, test/test_jit.py::TestTracer::test_trace_checker_memoization, test/test_jit.py::TestTracer::test_trace_checker_slice_lhs, test/test_jit.py::TestTracer::test_trace_checking_with_deprecated_name, test/test_jit.py::TestTracer::test_trace_checking_with_global_name, test/test_jit.py::TestTracer::test_trace_contiguous, test/test_jit.py::TestTracer::test_trace_contiguous_short_circuit, test/test_jit.py::TestTracer::test_trace_detach, test/test_jit.py::TestTracer::test_trace_detach_inplace, test/test_jit.py::TestTracer::test_trace_detach_inplace_redispatch, test/test_jit.py::TestTracer::test_trace_detach_redispatch, test/test_jit.py::TestTracer::test_trace_dict_input, test/test_jit.py::TestTracer::test_trace_dict_output, test/test_jit.py::TestTracer::test_trace_export_fns, test/test_jit.py::TestTracer::test_trace_export_fns_recursive, test/test_jit.py::TestTracer::test_trace_fork_join_and_module, test/test_jit.py::TestTracer::test_trace_full_dynamic_shape, test/test_jit.py::TestTracer::test_trace_func_argument_names_captured, test/test_jit.py::TestTracer::test_trace_index, test/test_jit.py::TestTracer::test_trace_index_constant, test/test_jit.py::TestTracer::test_trace_indexed_assignment, test/test_jit.py::TestTracer::test_trace_inline_shape, test/test_jit.py::TestTracer::test_trace_inverse, test/test_jit.py::TestTracer::test_trace_invert_module_hierarchy, test/test_jit.py::TestTracer::test_trace_legacy_ctor, test/test_jit.py::TestTracer::test_trace_module_argument_names_captured, test/test_jit.py::TestTracer::test_trace_modulelist, test/test_jit.py::TestTracer::test_trace_multi_output_function, test/test_jit.py::TestTracer::test_trace_namedtuple, test/test_jit.py::TestTracer::test_trace_nested_datatypes, test/test_jit.py::TestTracer::test_trace_nested_fn, test/test_jit.py::TestTracer::test_trace_no_duplicated_lifted_input_output, test/test_jit.py::TestTracer::test_trace_numel, test/test_jit.py::TestTracer::test_trace_optioanl_dtype, test/test_jit.py::TestTracer::test_trace_optional, test/test_jit.py::TestTracer::test_trace_out_operator_with_two_output, test/test_jit.py::TestTracer::test_trace_partial_func_argument_names_captured, test/test_jit.py::TestTracer::test_trace_random, test/test_jit.py::TestTracer::test_trace_records_names, test/test_jit.py::TestTracer::test_trace_save, test/test_jit.py::TestTracer::test_trace_save_load_copy, test/test_jit.py::TestTracer::test_trace_single_tuple, test/test_jit.py::TestTracer::test_trace_size, test/test_jit.py::TestTracer::test_trace_size_with_grad, test/test_jit.py::TestTracer::test_trace_skip_none_submodule, test/test_jit.py::TestTracer::test_trace_slice, test/test_jit.py::TestTracer::test_trace_slice_expr_complete_type, test/test_jit.py::TestTracer::test_trace_slice_full_dim, test/test_jit.py::TestTracer::test_trace_slice_setitem_dynamic_shape, test/test_jit.py::TestTracer::test_trace_slice_with_grad, test/test_jit.py::TestTracer::test_trace_tensor_factory, test/test_jit.py::TestTracer::test_trace_topk, test/test_jit.py::TestTracer::test_trace_tuple, test/test_jit.py::TestTracer::test_trace_variable_instantiation, test/test_jit.py::TestTracer::test_trace_warn, test/test_jit.py::TestTracer::test_trace_with_conditional_property, test/test_jit.py::TestTracer::test_trace_with_nested_strided_tensor_output, test/test_jit.py::TestTracer::test_trace_with_nested_tensor_list_output, test/test_jit.py::TestTracer::test_trace_with_number_list_output, test/test_jit.py::TestTracer::test_trace_with_tensor_list_output, test/test_jit.py::TestTracer::test_trace_with_tuple_tensor, test/test_jit.py::TestTracer::test_traced_module_cuda, test/test_jit.py::TestTracer::test_tracing_backward_hook_error, test/test_jit.py::TestTracer::test_tracing_hooks, test/test_jit.py::TestTracer::test_tracing_multiple_methods, test/test_jit.py::TestTracer::test_type_same_device, test/test_jit.py::TestTracer::test_typeas_trace_check, test/test_jit.py::TestTracer::test_wrapped_number, test/test_jit.py::TestMixTracingScripting::test_call_script_fn_from_traced_module, test/test_jit.py::TestMixTracingScripting::test_call_script_module_from_traced_module, test/test_jit.py::TestMixTracingScripting::test_call_traced_fn_from_script_fn, test/test_jit.py::TestMixTracingScripting::test_call_traced_mod_from_script_fn, test/test_jit.py::TestMixTracingScripting::test_call_tracing_fn_from_script_module, test/test_jit.py::TestMixTracingScripting::test_call_tracing_mod_from_script_module, test/test_jit.py::TestMixTracingScripting::test_jit_trace_callfunction_return_shapes, test/test_jit.py::TestMixTracingScripting::test_script_inline_trace_multiple_args, test/test_jit.py::TestMixTracingScripting::test_trace_dict_mix_script, test/test_jit.py::TestMixTracingScripting::test_trace_hierarchy, test/test_jit.py::TestMixTracingScripting::test_trace_linear, test/test_jit.py::TestMixTracingScripting::test_trace_mixed_by_script_with_dict_output, test/test_jit.py::TestMixTracingScripting::test_trace_of_script, test/test_jit.py::TestMixTracingScripting::test_trace_parameter, test/test_jit.py::TestMixTracingScripting::test_trace_returning_dict_with_tensor_tuples, test/test_jit.py::TestMixTracingScripting::test_trace_script, test/test_jit.py::TestMixTracingScripting::test_trace_script_returning_complex_dict, test/test_jit.py::TestMixTracingScripting::test_trace_with_size, test/test_jit.py::TestMixTracingScripting::test_traced_module_contains_scripted_interface_types, test/test_jit.py::TestMixTracingScripting::test_traced_module_implements_interface, test/test_jit.py::TestMixTracingScripting::test_tracing_indexing, test/test_jit.py::TestMixTracingScripting::test_tracing_slicing, test/test_jit.py::TestRecursiveScript::test_attributes, test/test_jit.py::TestRecursiveScript::test_class_compile, test/test_jit.py::TestRecursiveScript::test_constants_with_final, test/test_jit.py::TestRecursiveScript::test_dir, test/test_jit.py::TestRecursiveScript::test_error_stack, test/test_jit.py::TestRecursiveScript::test_error_stack_annotation, test/test_jit.py::TestRecursiveScript::test_error_stack_class, test/test_jit.py::TestRecursiveScript::test_error_stack_module, test/test_jit.py::TestRecursiveScript::test_failed_function_compilation, test/test_jit.py::TestRecursiveScript::test_function_attribute_in_submodule, test/test_jit.py::TestRecursiveScript::test_ignore_class, test/test_jit.py::TestRecursiveScript::test_inferred_nonetype, test/test_jit.py::TestRecursiveScript::test_init_error, test/test_jit.py::TestRecursiveScript::test_inner_traced_module, test/test_jit.py::TestRecursiveScript::test_iterable_modules, test/test_jit.py::TestRecursiveScript::test_method_call, test/test_jit.py::TestRecursiveScript::test_module_basic, test/test_jit.py::TestRecursiveScript::test_module_function_export, test/test_jit.py::TestRecursiveScript::test_module_name, test/test_jit.py::TestRecursiveScript::test_module_repr, test/test_jit.py::TestRecursiveScript::test_optional_module, test/test_jit.py::TestRecursiveScript::test_override_instance_method_ignore, test/test_jit.py::TestRecursiveScript::test_prepare_scriptable_basic, test/test_jit.py::TestRecursiveScript::test_prepare_scriptable_cycle, test/test_jit.py::TestRecursiveScript::test_prepare_scriptable_escape_hatch, test/test_jit.py::TestRecursiveScript::test_prepare_scriptable_iterable_modules, test/test_jit.py::TestRecursiveScript::test_python_function_attribute, test/test_jit.py::TestRecursiveScript::test_repeated_error_stack, test/test_jit.py::TestRecursiveScript::test_script_after_eval, test/test_jit.py::TestRecursiveScript::test_script_basic, test/test_jit.py::TestRecursiveScript::test_script_function_attribute, test/test_jit.py::TestRecursiveScript::test_script_loaded_module, test/test_jit.py::TestTypeSharing::test_assign_python_attr, test/test_jit.py::TestTypeSharing::test_basic, test/test_jit.py::TestTypeSharing::test_builtin_function_different, test/test_jit.py::TestTypeSharing::test_builtin_function_same, test/test_jit.py::TestTypeSharing::test_constants, test/test_jit.py::TestTypeSharing::test_diff_attr_values, test/test_jit.py::TestTypeSharing::test_failed_attribute_compilation, 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_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, test/test_jit.py::TestJitGeneratedModule::test_nn_Hardshrink_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Hardsigmoid_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Hardswish_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Hardtanh_no_batch_dim, 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test/test_jit.py::TestJitGeneratedModule::test_nn_KLDivLoss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_KLDivLoss_no_reduce_log_target, test/test_jit.py::TestJitGeneratedModule::test_nn_KLDivLoss_no_reduce_scalar, test/test_jit.py::TestJitGeneratedModule::test_nn_KLDivLoss_no_reduce_scalar_log_target, test/test_jit.py::TestJitGeneratedModule::test_nn_KLDivLoss_with_log_target_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_KLDivLoss_with_target_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_L1Loss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_L1Loss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_L1Loss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_L1Loss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_L1Loss_no_reduce_complex, test/test_jit.py::TestJitGeneratedModule::test_nn_L1Loss_no_reduce_scalar, test/test_jit.py::TestJitGeneratedModule::test_nn_LSTMCell, test/test_jit.py::TestJitGeneratedModule::test_nn_LayerNorm_3d_no_affine_large_feature, test/test_jit.py::TestJitGeneratedModule::test_nn_LeakyReLU_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Linear, test/test_jit.py::TestJitGeneratedModule::test_nn_Linear_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Linear_no_bias, test/test_jit.py::TestJitGeneratedModule::test_nn_LogSigmoid_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_MSELoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_MSELoss_no_batch_dim_none, 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, 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test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLossNd_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLossNd_no_reduce_ignore_index, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLossNd_no_reduce_weights, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss_no_reduce, 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
2025-03-14T05:37:35.0784318Z 
2025-03-14T05:37:38.6703520Z Running torch_np/numpy_tests/lib/test_index_tricks 1/1 ... [2025-03-14 05:37:38.669905]
2025-03-14T05:37:38.6704591Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:37:38.6707221Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_index_tricks.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'] ... [2025-03-14 05:37:38.670260]
2025-03-14T05:37:42.8413416Z 
2025-03-14T05:37:42.8415714Z torch_np/numpy_tests/lib/test_index_tricks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_index_tricks_1.1_498db2c99c6633e8_.log
2025-03-14T05:37:42.8451931Z Running 47 items in this shard: test/torch_np/numpy_tests/lib/test_index_tricks.py::TestRavelUnravelIndex::test_0d, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestRavelUnravelIndex::test_basic, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestRavelUnravelIndex::test_big_indices, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestRavelUnravelIndex::test_clipmodes, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestRavelUnravelIndex::test_dtypes, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestRavelUnravelIndex::test_empty_array_ravel_mode_clip, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestRavelUnravelIndex::test_empty_array_ravel_mode_raise, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestRavelUnravelIndex::test_empty_array_ravel_mode_wrap, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestRavelUnravelIndex::test_empty_array_unravel, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestRavelUnravelIndex::test_empty_indices, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestRavelUnravelIndex::test_writeability, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestGrid::test_accepts_longdouble, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestGrid::test_accepts_npcomplexfloating, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestGrid::test_accepts_npfloating, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestGrid::test_basic, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestGrid::test_linspace_equivalence, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestGrid::test_mgrid_size_none_handling_start0_stop_10_step0_expected0, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestGrid::test_mgrid_size_none_handling_start_-10_stop_20_step1_expected1, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestGrid::test_nd, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestGrid::test_sparse, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestConcatenator::test_0d, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestConcatenator::test_1d, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestConcatenator::test_2d, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestConcatenator::test_complex_step, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestConcatenator::test_mixed_type, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestConcatenator::test_more_mixed_type, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestNdenumerate::test_basic, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestIndexExpression::test_regression_1, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestIndexExpression::test_simple_1, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestIx_::test_1d_only, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestIx_::test_bool, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestIx_::test_regression_1, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestIx_::test_repeated_input, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestIx_::test_shape_and_dtype, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestC::test_c_, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestFillDiagonal::test_basic, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestFillDiagonal::test_hetero_shape_handling, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestFillDiagonal::test_low_dim_handling, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestFillDiagonal::test_operate_4d_array, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestFillDiagonal::test_tall_matrix, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestFillDiagonal::test_tall_matrix_wrap, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestFillDiagonal::test_wide_matrix, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestDiagIndices::test_diag_indices, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestDiagIndicesFrom::test_diag_indices_from, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestDiagIndicesFrom::test_error_shape_mismatch, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestDiagIndicesFrom::test_error_small_input, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestNdIndex::test_ndindex
2025-03-14T05:37:42.8487108Z 
2025-03-14T05:37:46.4781520Z Running test_type_info 1/1 ... [2025-03-14 05:37:46.477701]
2025-03-14T05:37:46.4782262Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:37:46.4784366Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_type_info.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'] ... [2025-03-14 05:37:46.478098]
2025-03-14T05:37:50.1985018Z 
2025-03-14T05:37:50.1986304Z test_type_info 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_info_1.1_c1023335ba7f8685_.log
2025-03-14T05:37:50.1989608Z Running 5 items in this shard: test/test_type_info.py::TestDTypeInfo::test_finfo, test/test_type_info.py::TestDTypeInfo::test_iinfo, test/test_type_info.py::TestDTypeInfo::test_invalid_input, test/test_type_info.py::TestDTypeInfo::test_to_complex, test/test_type_info.py::TestDTypeInfo::test_to_real
2025-03-14T05:37:50.1991049Z 
2025-03-14T05:37:54.2074640Z Running functorch/test_vmap 1/2 ... [2025-03-14 05:37:54.206973]
2025-03-14T05:37:54.2075525Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:37:54.2077771Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_vmap.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'] ... [2025-03-14 05:37:54.207362]
2025-03-14T05:37:55.4755143Z Running test_functional_autograd_benchmark 1/1 ... [2025-03-14 05:37:55.475058]
2025-03-14T05:37:55.4756603Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:37:55.4759510Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 05:37:55.475463]
2025-03-14T05:38:39.0164384Z 
2025-03-14T05:38:39.0195088Z 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_2bb8aa6cd0d65d2d_.log
2025-03-14T05:38:39.0197493Z 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
2025-03-14T05:38:39.0198573Z 
2025-03-14T05:38:43.5763281Z Running functorch/test_ops 1/8 ... [2025-03-14 05:38:43.575616]
2025-03-14T05:38:43.5764108Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:38:43.5769464Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_ops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-03-14 05:38:43.576214]
2025-03-14T05:42:44.3896002Z 
2025-03-14T05:42:44.3896853Z test_ops 7/8 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_7.8_20cc9d9930695f7c_.log
2025-03-14T05:42:44.6231026Z Running 4287 items in this shard: test/test_ops.py::TestCommonCPU::test_compare_cpu_T_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu___rxor___cpu_int64, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs__conversions_double_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_addcmul_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_as_strided_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_contiguous_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_empty_like_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_eye_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_flipud_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_narrow_copy_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_hinge_embedding_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_pixel_unshuffle_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_softmax_with_dtype_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_to_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_trace_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_vdot_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__segment_reduce_lengths_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__upsample_bilinear2d_aa_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_as_strided_partial_views_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_chalf_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_char_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_constant_pad_nd_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_cummax_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_cumprod_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_div_no_rounding_mode_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_flipud_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_float_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_index_reduce_amin_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_istft_cpu_complex64, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_eigvals_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_eigvalsh_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_ldl_factor_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_lu_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_pinv_singular_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_log_softmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_logdet_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_mT_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_masked_select_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_max_pool2d_with_indices_backward_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_multinomial_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_channel_shuffle_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_hardtanh_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_margin_ranking_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_max_unpool1d_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_permute_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_rot90_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_w_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_split_list_args_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_stack_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_topk_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_triu_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_true_divide_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_unfold_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_unique_consecutive_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_view_as_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_zeros_cpu_float32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing___getitem___cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing__chunk_cat_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_add_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_atleast_2d_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_char_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_empty_like_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_fft_fftshift_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_index_copy_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_index_fill_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_masked_fill_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_narrow_copy_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_ones_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_ravel_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_reshape_as_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_roll_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_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_where_cpu_complex32, test/test_ops.py::TestCommonCPU::test_dtypes__refs__conversions_half_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs__conversions_int_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs__conversions_long_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs__conversions_polar_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs__conversions_short_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_acos_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_atan_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_atleast_3d_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_bitwise_left_shift_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_conj_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_constant_pad_nd_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_diag_embed_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_empty_like_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_expand_copy_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_fft_ifft_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_fft_rfft_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_frexp_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_i0_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_log_normal_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_logical_and_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_meshgrid_variadic_tensors_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_mul_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_narrow_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_neg_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_nn_functional_leaky_relu_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_nn_functional_margin_ranking_loss_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_nn_functional_pixel_shuffle_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_nn_functional_prelu_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_positive_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_ravel_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_reciprocal_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_signbit_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_sinc_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_sinh_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_special_i0e_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_std_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_tril_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_unbind_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_view_as_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_addbmm_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_aminmax_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_arange_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_as_strided_scatter_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_asinh_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_atan_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_bincount_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_bitwise_and_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_bitwise_left_shift_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_broadcast_shapes_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_clamp_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_contiguous_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_cos_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_cumulative_trapezoid_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_diagonal_scatter_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_div_floor_rounding_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_empty_strided_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_erf_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_erfinv_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_exp2_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_expand_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_exponential_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_full_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_igamma_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_index_select_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_inner_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_isin_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_istft_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_jiterator_binary_return_by_ref_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_linalg_cholesky_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_linalg_cross_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_linalg_householder_product_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_linalg_ldl_factor_ex_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_linalg_lu_factor_ex_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_linalg_vecdot_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_linspace_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_logical_not_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_logical_xor_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_long_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_lu_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_mH_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_masked_normalize_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_masked_std_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_masked_sum_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_matmul_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_maximum_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_median_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_meshgrid_list_of_tensors_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_multinomial_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_mvlgamma_mvlgamma_p_5_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_native_layer_norm_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_new_zeros_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_avg_pool1d_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_conv2d_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_cosine_similarity_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_elu_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_embedding_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_hardsigmoid_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_hinge_embedding_loss_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_interpolate_area_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_interpolate_nearest-exact_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_linear_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_max_unpool2d_grad_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_multi_head_attention_forward_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_one_hot_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_pad_reflect_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_poisson_nll_loss_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_prelu_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_rms_norm_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_scaled_dot_product_attention_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_selu_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_softshrink_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_norm_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_normal_in_place_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_ones_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_ones_like_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_polygamma_polygamma_n_1_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_randn_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_repeat_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_roll_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_signal_windows_exponential_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_special_i1e_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_special_scaled_modified_bessel_k1_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_special_shifted_chebyshev_polynomial_v_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_split_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_t_copy_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_triangular_solve_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_trunc_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_unbind_copy_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_unflatten_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_unfold_copy_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_unique_consecutive_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_unsafe_split_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_xlogy_cpu, test/test_ops.py::TestCommonCPU::test_errors___rmod___cpu, test/test_ops.py::TestCommonCPU::test_errors___rpow___cpu, test/test_ops.py::TestCommonCPU::test_errors_amin_cpu, test/test_ops.py::TestCommonCPU::test_errors_bitwise_left_shift_cpu, test/test_ops.py::TestCommonCPU::test_errors_fft_fft2_cpu, test/test_ops.py::TestCommonCPU::test_errors_fft_fft_cpu, test/test_ops.py::TestCommonCPU::test_errors_fft_ifftn_cpu, test/test_ops.py::TestCommonCPU::test_errors_fft_irfft_cpu, test/test_ops.py::TestCommonCPU::test_errors_gather_cpu, test/test_ops.py::TestCommonCPU::test_errors_gradient_cpu, test/test_ops.py::TestCommonCPU::test_errors_item_cpu, test/test_ops.py::TestCommonCPU::test_errors_logaddexp_cpu, test/test_ops.py::TestCommonCPU::test_errors_max_binary_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_adaptive_max_pool3d_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_group_norm_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_max_pool3d_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_poisson_nll_loss_cpu, test/test_ops.py::TestCommonCPU::test_errors_pow_cpu, test/test_ops.py::TestCommonCPU::test_errors_scatter_add_cpu, test/test_ops.py::TestCommonCPU::test_errors_sparse_mul_layout4_cpu, test/test_ops.py::TestCommonCPU::test_errors_sparse_zeros_like_layout0_cpu, test/test_ops.py::TestCommonCPU::test_errors_special_shifted_chebyshev_polynomial_u_cpu, test/test_ops.py::TestCommonCPU::test_errors_special_shifted_chebyshev_polynomial_w_cpu, test/test_ops.py::TestCommonCPU::test_errors_uniform_cpu, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_add_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_addcdiv_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_addmv_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_as_strided_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_complex_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_cumsum_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_div_no_rounding_mode_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_eq_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_hfft_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_hfftn_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_floor_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fmin_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_ge_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_heaviside_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_igammac_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_isposinf_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_pinv_hermitian_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_max_binary_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_min_reduction_no_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_min_reduction_with_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_nan_to_num_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_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_2_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_pow_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_remainder_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_scatter_reduce_amin_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_special_log_ndtr_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_tanh_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_tril_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_xlogy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_T_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices___rdiv___cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices__chunk_cat_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_addr_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_all_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_angle_cpu_float32, 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_argwhere_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_asin_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_atan2_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_atleast_1d_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_broadcast_shapes_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_cat_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cdist_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_clamp_min_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_column_stack_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_copysign_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_corrcoef_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cov_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cross_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cummin_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cumsum_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_diag_embed_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_diagonal_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_diagonal_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_diagonal_scatter_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_div_floor_rounding_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_empty_strided_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_equal_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_erfc_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_exp2_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_fftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_ihfft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_rfft2_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fill_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_full_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_gcd_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_ge_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_gradient_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_grid_sampler_2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_histogramdd_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_add_cpu_int64, 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_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_isnan_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_isreal_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_le_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_svdvals_cpu_float32, 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_log_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_logaddexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_logical_xor_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_logaddexp_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_reduction_no_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_maximum_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_minimum_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_minimum_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_mul_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_mvlgamma_mvlgamma_p_1_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_new_full_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_new_full_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_bilinear_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_celu_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_channel_shuffle_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_conv1d_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_conv3d_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_conv_transpose2d_cpu_int64, 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_ctc_loss_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_feature_alpha_dropout_with_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_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_interpolate_area_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_layer_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_max_unpool3d_grad_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pad_replicate_negative_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_relu_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_norm_inf_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_permute_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_polar_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_polygamma_polygamma_n_2_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_rad2deg_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_resize__cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_resolve_neg_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_roll_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_rot90_cpu_int64, 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_sign_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_signal_windows_bartlett_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_sinh_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_sparse_sampled_addmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_airy_ai_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_bessel_j0_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_i0e_cpu_float32, 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_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_ndtr_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_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_zeta_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_split_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_split_with_sizes_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_sqrt_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_squeeze_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_sub_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_take_along_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_take_along_dim_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_take_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_tensor_split_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_topk_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_transpose_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_triu_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_true_divide_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_trunc_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_unflatten_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_unique_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_unsafe_split_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_var_mean_unbiased_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_vstack_cpu_float32, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_H_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values___rdiv___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__unsafe_masked_index_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_any_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_atanh_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_atleast_2d_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_cdouble_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_clamp_min_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_constant_pad_nd_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_cummin_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_diagonal_scatter_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_div_no_rounding_mode_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_empty_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_empty_permuted_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_empty_strided_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_fft_fftshift_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_fft_hfft_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_fft_ihfft2_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_fft_irfft2_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_fft_rfftn_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_flip_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_isfinite_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_isnan_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_isneginf_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_log10_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_masked_scatter_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_max_binary_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_max_reduction_no_dim_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_meshgrid_variadic_tensors_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_mode_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_new_empty_strided_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_new_full_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_new_zeros_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_permute_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_repeat_interleave_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_reshape_cpu_bool, 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test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_fft_hfft2_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_fft_irfftn_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_isclose_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_isreal_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_item_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_linalg_norm_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_linalg_svdvals_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_linalg_vector_norm_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_logical_or_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_nn_functional_pairwise_distance_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_normal__in_place_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_permute_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_real_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_rsqrt_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_stft_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_transpose_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_alias_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_cartesian_prod_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_cholesky_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_combinations_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_cosh_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_count_nonzero_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_empty_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_hstack_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_index_fill_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_inner_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_cholesky_ex_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_cond_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_eigh_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_lu_solve_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_pinv_singular_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_solve_triangular_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_svd_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_logdet_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_masked_var_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_new_empty_strided_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_rms_norm_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_pca_lowrank_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_put_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_select_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_slice_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_squeeze_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_squeeze_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_stack_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_std_mean_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_take_along_dim_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_trapz_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_unbind_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_unfold_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_unsqueeze_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_vstack_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs__conversions_byte_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_diagonal_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_fft_hfft2_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_fft_ifftn_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_hsplit_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_imag_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_linspace_tensor_overload_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_meshgrid_list_of_tensors_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_new_ones_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_nn_functional_channel_shuffle_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_nn_functional_pixel_unshuffle_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_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_roll_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_rsqrt_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_square_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_vsplit_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_abs_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_addmm_decomposed_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_addmv_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_all_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_atleast_1d_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_bfloat16_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_block_diag_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_cholesky_inverse_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_column_stack_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_combinations_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_corrcoef_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_diagflat_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_dot_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_dstack_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_exp2_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_expm1_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fft_hfft_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fill_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_flipud_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_hsplit_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_index_copy_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_linalg_ldl_factor_ex_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_tensorsolve_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_vander_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linspace_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_log10_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_logspace_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_long_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_lu_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_mT_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_masked_scatter_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_mul_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_linear_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_ones_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_pinverse_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_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_resize_as__cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_scalar_tensor_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_sin_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_square_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_take_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_tensor_split_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_tril_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_triu_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_unsqueeze_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_vsplit_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_zero__cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_zeros_like_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_view___rmod___cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view___rmul___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_bfloat16_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_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_half_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_addcmul_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_alias_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_as_strided_scatter_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_atan_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_block_diag_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_conj_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_diagonal_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_eq_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_fft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fmod_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_hypot_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_index_select_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_linalg_svdvals_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_log1p_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_logical_and_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_mean_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_nn_functional_celu_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_randn_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_real_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_reciprocal_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_sinc_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_erfcx_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_logit_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_squeeze_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_t_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__unsafe_masked_index_put_accumulate_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_alias_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_broadcast_tensors_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_byte_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cartesian_prod_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_ceil_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_div_no_rounding_mode_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_double_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_ifft2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_ifftshift_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_rfft2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fmax_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fmod_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_full_like_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_ge_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_half_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_histogramdd_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_index_fill_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_isfinite_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_jiterator_binary_return_by_ref_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_det_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_eigvals_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_ldl_solve_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_lu_factor_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_vander_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_log_softmax_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_logit_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_logsumexp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_mH_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_amax_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_argmax_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_cumprod_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_prod_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_sum_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_var_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_max_reduction_no_dim_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_mean_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_multinomial_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nan_to_num_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_narrow_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_native_dropout_backward_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_neg_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_avg_pool1d_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_huber_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_instance_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_interpolate_linear_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_interpolate_nearest_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_logsigmoid_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_max_unpool2d_cpu_float64, 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test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_pad_constant_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_softsign_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_upsample_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_upsample_nearest_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nonzero_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_ones_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_pow_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_quantile_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_reshape_as_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_resize_as__cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_rsub_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_scatter_reduce_sum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_chebyshev_polynomial_u_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_shifted_chebyshev_polynomial_v_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_spherical_bessel_j0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_sum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_tile_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_triangular_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_unfold_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_var_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_var_mean_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_vsplit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_bitwise_xor_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_cartesian_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_ceil_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_clamp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_column_stack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_combinations_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_constant_pad_nd_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___rdiv___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp__batch_norm_with_update_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp__unsafe_masked_index_put_accumulate_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_atleast_2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_baddbmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_bernoulli_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cholesky_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_clamp_max_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_einsum_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_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_fill_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_gradient_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_hypot_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_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_index_reduce_mean_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_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_det_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_inv_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_lstsq_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_lu_factor_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_pinv_singular_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_svdvals_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_mT_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_fill_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_prod_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_mv_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_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_binary_cross_entropy_with_logits_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_channel_shuffle_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_elu_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_unpool1d_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_pixel_shuffle_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_scatter_add_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_sgn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_sigmoid_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_special_ndtr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_svd_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_unbind_copy_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_no_amp___rmod___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp__segment_reduce_offsets_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_addmv_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_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_bfloat16_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_cfloat_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_cholesky_inverse_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_conj_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_cummax_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_diff_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_expand_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_fft_rfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fill_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_flipud_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_linalg_multi_dot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_norm_subgradients_at_zero_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_qr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_log_softmax_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_mean_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_movedim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_mvlgamma_mvlgamma_p_3_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_native_dropout_backward_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_conv_transpose2d_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_dropout3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_gaussian_nll_loss_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_huber_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_layer_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_logsigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_nll_loss_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_softplus_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_triplet_margin_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_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_norm_fro_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_pinverse_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_polygamma_polygamma_n_4_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_put_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_scatter_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_softmax_with_dtype_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_log_ndtr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_split_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_stack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_tan_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_transpose_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_true_divide_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_where_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cumprod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cumulative_trapezoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_einsum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_empty_permuted_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_expand_as_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_expand_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_fft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_ifft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_ihfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_rfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fliplr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_float_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_float_power_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_gcd_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_hypot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_index_put_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_isin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_isreal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_jiterator_4inputs_with_extra_args_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_jiterator_binary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_jiterator_binary_return_by_ref_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_cholesky_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_cross_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_eig_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_eigvalsh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_matrix_rank_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_log10_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_log2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_log_normal_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_logit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_logspace_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_logspace_tensor_overload_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_max_pool2d_with_indices_backward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_mm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_neg_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_new_empty_strided_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nextafter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_adaptive_max_pool1d_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_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_conv_transpose1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_conv_transpose3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_dropout_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_feature_alpha_dropout_without_train_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_gelu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_hardsigmoid_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_max_unpool3d_grad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_pad_reflect_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_pixel_shuffle_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_selu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nonzero_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_normal_in_place_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_polygamma_polygamma_n_1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_polygamma_polygamma_n_2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_randn_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_repeat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_resize_as__cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_roll_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_scatter_reduce_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_scatter_reduce_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_select_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_short_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_sigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_signbit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_sparse_sampled_addmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_bessel_y0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_chebyshev_polynomial_w_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_i0e_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_stft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_trace_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_triu_indices_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_true_divide_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_unfold_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_vdot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_where_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_zero__cpu_float32, 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__segment_reduce_lengths_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops__softmax_backward_data_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_acos_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_atan_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_atleast_3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_bitwise_and_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_broadcast_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_clone_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_conj_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cos_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cosh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cumsum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_diag_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_diagonal_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_dstack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fliplr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_flipud_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_float_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_gather_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_heaviside_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_index_put_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_lgamma_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_eig_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_eigvals_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_ldl_solve_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_logit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_long_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_argmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_meshgrid_variadic_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_min_binary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_mode_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_movedim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_mul_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_native_layer_norm_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_max_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_avg_pool1d_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_channel_shuffle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_conv1d_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_elu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_hardswish_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_interpolate_area_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_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_mish_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_mse_loss_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_multilabel_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_pixel_shuffle_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_smooth_l1_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_normal_in_place_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_ones_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_permute_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_polygamma_polygamma_n_0_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_randn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_ravel_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_signal_windows_kaiser_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_sparse_mm_reduce_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_y0_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_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_k1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_std_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_trace_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_unsafe_chunk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_unsafe_split_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_var_mean_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_cpu_uint8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_tensor_overload_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_cpu_bfloat16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_tensor_overload_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_tensor_overload_cpu_int32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_tensor_overload_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_zeros_cpu_complex32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_zeros_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_zeros_cpu_int8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_arange_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_arange_cpu_int64, 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_full_cpu_int32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_full_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_cpu_uint8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_cpu_int32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_ones_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_zeros_cpu_int16, test/test_ops.py::TestTagsCPU::test_tags__refs__conversions_float_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs__conversions_half_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs__conversions_polar_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_acos_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_all_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_amax_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_bitwise_xor_cpu_int64, test/test_ops.py::TestTagsCPU::test_tags__refs_broadcast_tensors_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_conj_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_cumsum_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_digamma_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_div_floor_rounding_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_dot_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_expand_as_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_fft_fftshift_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_fft_hfft_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_fft_irfftn_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_flipud_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_floor_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_fmax_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_frexp_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_index_add_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_isclose_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_isinf_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_isnan_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_linspace_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_masked_fill_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_meshgrid_variadic_tensors_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_narrow_copy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_narrow_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_elu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_layer_norm_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_mse_loss_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_prelu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_selu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_triplet_margin_loss_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_normal_number_mean_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_positive_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_pow_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_rad2deg_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_repeat_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_reshape_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_round_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_rsub_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_sinh_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_special_bessel_j0_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_special_erfcx_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_special_i1e_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_special_log_ndtr_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_sub_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_tanh_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_triu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_triu_indices_cpu_int64, test/test_ops.py::TestTagsCPU::test_tags__refs_xlogy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_as_strided_scatter_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_bincount_cpu_int64, test/test_ops.py::TestTagsCPU::test_tags_cauchy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_cdist_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_ceil_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_clamp_max_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_clone_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_constant_pad_nd_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_cross_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_digamma_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_div_no_rounding_mode_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_erfinv_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_expand_copy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_fft_hfftn_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_fft_ifftshift_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_fft_irfft_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_float_power_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_geometric_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_gt_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_heaviside_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_i0_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_inner_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_isclose_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_isposinf_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_item_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_lgamma_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_cholesky_ex_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_cross_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_eigh_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_ldl_solve_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_lu_solve_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_logical_and_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_long_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_masked_amin_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_masked_cumsum_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_masked_std_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_masked_sum_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_multinomial_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_narrow_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_cosine_embedding_loss_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_ctc_loss_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_fractional_max_pool2d_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_gelu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_glu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_local_response_norm_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_multi_margin_loss_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_pad_circular_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_pad_constant_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_pad_replicate_negative_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_prelu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_softmin_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_threshold_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nonzero_static_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_permute_copy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_polygamma_polygamma_n_0_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_pow_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_prod_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_randint_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_scalar_tensor_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_scatter_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_sgn_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_signal_windows_bartlett_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_signal_windows_cosine_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_signal_windows_hann_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_hermite_polynomial_he_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_laguerre_polynomial_l_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_modified_bessel_k0_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_modified_bessel_k1_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_spherical_bessel_j0_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_split_with_sizes_copy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_squeeze_multiple_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_sub_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_take_along_dim_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_tensor_split_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_topk_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_trace_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_transpose_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_vstack_cpu_float32
2025-03-14T05:42:44.7700318Z 
2025-03-14T05:43:03.9795628Z Running functorch/test_ops 2/8 ... [2025-03-14 05:43:03.978522]
2025-03-14T05:43:03.9796451Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:43:03.9798550Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_ops.py', '-m', 'not serial', '--shard-id=2', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-03-14 05:43:03.978929]
2025-03-14T05:44:32.3361784Z 
2025-03-14T05:44:32.3362983Z functorch/test_vmap 1/2 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_vmap_1.2_c3908c7479311b75_.log
2025-03-14T05:44:32.3905658Z Running 1054 items in this shard: test/functorch/test_vmap.py::TestVmapAPI::test_accepts_nested_inputs, test/functorch/test_vmap.py::TestVmapAPI::test_batch_rule_does_not_need_to_handle_no_batched_input, test/functorch/test_vmap.py::TestVmapAPI::test_constant_function, test/functorch/test_vmap.py::TestVmapAPI::test_data_attribute, test/functorch/test_vmap.py::TestVmapAPI::test_data_dependent_control_flow_throws, test/functorch/test_vmap.py::TestVmapAPI::test_decomposition_under_python_dispatcher, test/functorch/test_vmap.py::TestVmapAPI::test_fallback_masked_fill, test/functorch/test_vmap.py::TestVmapAPI::test_fallback_warning, test/functorch/test_vmap.py::TestVmapAPI::test_fallback_with_undefined_grad, test/functorch/test_vmap.py::TestVmapAPI::test_grad_unsupported_interaction, test/functorch/test_vmap.py::TestVmapAPI::test_in_dim_not_in_tensor_err_msg, test/functorch/test_vmap.py::TestVmapAPI::test_inplace_fallback_nary_different_levels, test/functorch/test_vmap.py::TestVmapAPI::test_inplace_fallback_unary, test/functorch/test_vmap.py::TestVmapAPI::test_item_throws, test/functorch/test_vmap.py::TestVmapAPI::test_multiple_inputs, test/functorch/test_vmap.py::TestVmapAPI::test_multiple_out_dims, test/functorch/test_vmap.py::TestVmapAPI::test_nested_negative_in_dims, test/functorch/test_vmap.py::TestVmapAPI::test_nested_non_default_in_dims, test/functorch/test_vmap.py::TestVmapAPI::test_nested_with_diag_embed, test/functorch/test_vmap.py::TestVmapAPI::test_nested_with_same_map_dim, test/functorch/test_vmap.py::TestVmapAPI::test_non_zero_in_dims, test/functorch/test_vmap.py::TestVmapAPI::test_none_in_dims, test/functorch/test_vmap.py::TestVmapAPI::test_noop_in_inner_vmap, test/functorch/test_vmap.py::TestVmapAPI::test_not_enough_in_dims_err_msg, test/functorch/test_vmap.py::TestVmapAPI::test_out_dim_out_of_bounds_err_msg, test/functorch/test_vmap.py::TestVmapAPI::test_out_dims_and_num_outputs_mismatch_err_msg, 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test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_view_as_complex_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_view_copy_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_where_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_xlogy_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_zero__cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_zeros_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_cond_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_cross_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_eig_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_eigh_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_eigvals_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_inv_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_ldl_factor_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_ldl_factor_ex_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_lstsq_grad_oriented_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_lu_solve_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_matrix_power_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_multi_dot_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_norm_subgradients_at_zero_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_pinv_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_svd_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_svdvals_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_tensorinv_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_tensorsolve_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_vander_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_with_anomaly_detection_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_div_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_inplace_manyview_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_lgamma_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_log1p_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_log_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_max_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_median_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_min_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_mul_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_randomness_backend0_randomness_different_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_randomness_backend0_randomness_same_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_select_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_stack_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_sub_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_trace_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_vmap_fallback_check_ok, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_where_cpu, test/functorch/test_vmap.py::TestTransformFailureCPU::test_fails_with_autograd_function_transform_grad_and_value_cpu, test/functorch/test_vmap.py::TestTransformFailureCPU::test_fails_with_autograd_function_transform_jacfwd_cpu, test/functorch/test_vmap.py::TestTransformFailureCPU::test_fails_with_autograd_function_transform_jvp_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_different_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_error_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_error_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_same_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_first_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_first_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_first_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_first_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_last_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_none_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_first_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_last_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_last_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_last_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_none_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_none_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_first_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_last_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_none_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_none_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_error_batched_input_first_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_error_batched_input_last_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_error_batched_input_last_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_error_batched_input_none_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_same_batched_input_first_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_same_batched_input_first_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_same_batched_input_last_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_same_batched_input_none_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_chunk_vmap_in_dim_0_out_dim_0_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_chunk_vmap_in_dim_0_out_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_chunk_vmap_in_dim_2_out_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_dropout_randomness_error_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_dropout_randomness_error_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_dropout_randomness_error_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_dropout_randomness_same_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_dropout_randomness_same_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_dropout_unbatched_randomness_error_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_factory_ops_randomness_different_use_generator_True_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_factory_ops_randomness_same_use_generator_False_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_alpha_dropout_randomness_different_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_alpha_dropout_randomness_error_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_alpha_dropout_randomness_same_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_alpha_dropout_randomness_same_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_different_batched_input_first_dim_3_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_different_batched_input_none_dim_3_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_error_batched_input_first_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_error_batched_input_first_dim_3_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_same_batched_input_first_dim_3_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_same_batched_input_last_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_same_batched_input_none_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_like_functions_randomness_different_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_like_functions_randomness_error_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_like_functions_randomness_error_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_like_functions_randomness_same_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_like_functions_randomness_same_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_different_batched_call_False_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_different_batched_call_True_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_different_batched_call_True_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_different_batched_call_True_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_error_batched_call_False_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_error_batched_call_False_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_error_batched_call_False_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_error_batched_call_True_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_same_batched_call_False_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_same_batched_call_True_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_different_batched_call_False_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_different_batched_call_True_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_different_batched_call_True_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_error_batched_call_False_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_error_batched_call_False_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_error_batched_call_True_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_error_batched_call_True_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_same_batched_call_False_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_same_batched_call_False_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_same_batched_call_True_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_different_batched_input_first_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_different_batched_input_first_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_different_batched_input_last_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_different_batched_input_last_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_different_batched_input_none_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_error_batched_input_last_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_error_batched_input_none_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_same_batched_input_first_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_same_batched_input_first_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_same_batched_input_last_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_same_batched_input_none_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_different_batched_input_first_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_different_batched_input_first_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_different_batched_input_last_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_different_batched_input_last_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_different_batched_input_none_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_different_batched_input_none_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_error_batched_input_first_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_error_batched_input_first_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_error_batched_input_last_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_error_batched_input_none_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_error_batched_input_none_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_error_batched_input_none_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_same_batched_input_last_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_same_batched_input_last_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_same_batched_input_none_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_False_randomness_different_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_False_randomness_different_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_False_randomness_different_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_False_randomness_error_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_False_randomness_same_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_True_randomness_different_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_True_randomness_different_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_True_randomness_different_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_True_randomness_error_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_True_randomness_error_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_True_randomness_same_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_False_randomness_different_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_False_randomness_different_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_False_randomness_different_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_False_randomness_error_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_False_randomness_error_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_False_randomness_error_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_False_randomness_same_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_False_randomness_same_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_True_randomness_different_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_True_randomness_different_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_True_randomness_different_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_True_randomness_same_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_randperm_randomness_different_use_generator_False_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_randperm_randomness_different_use_generator_True_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_randperm_randomness_same_use_generator_False_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_unsupported_random_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_0_out_dim_0_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_1_out_dim_0_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_1_out_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_2_out_dim_0_cpu, test/functorch/test_vmap.py::TestVmapDeviceTypeCPU::test_check_tensor_cpu, test/functorch/test_vmap.py::TestVmapDeviceTypeCPU::test_vmap_fallback_check, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_fallback_binary_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_fallback_binary_nt_and_batched_dense_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_fallback_unary_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_fallback_with_nt_and_batched_dense_with_nonzero_bdim_raises_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_multilevel_vmap_raises_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_nt_acts_as_dense_in_vmap_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_nt_with_nonzero_in_dim_raises_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_nt_with_nonzero_out_dim_raises_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_shape_call_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_vmap_fallback_check_ok
2025-03-14T05:44:32.4398877Z 
2025-03-14T05:44:35.9410940Z Running functorch/test_ops 5/8 ... [2025-03-14 05:44:35.940703]
2025-03-14T05:44:35.9411479Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:44:35.9413837Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_ops.py', '-m', 'not serial', '--shard-id=5', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-03-14 05:44:35.941100]
2025-03-14T05:48:12.9199499Z 
2025-03-14T05:48:12.9200974Z functorch/test_ops 1/8 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ops_1.8_4f0274d3219b5a08_.log
2025-03-14T05:48:13.0341948Z Running 1264 items in this shard: test/functorch/test_ops.py::TestOperatorsCPU::test_data_write_errors_under_transform_cpu, test/functorch/test_ops.py::TestOperatorsCPU::test_extremal_numerics_cross_entropy_cpu, test/functorch/test_ops.py::TestOperatorsCPU::test_extremal_numerics_l1_loss_cpu, test/functorch/test_ops.py::TestOperatorsCPU::test_extremal_numerics_log_softmax_cpu, test/functorch/test_ops.py::TestOperatorsCPU::test_extremal_numerics_mse_loss_cpu, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad___rmatmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad__chunk_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_angle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_any_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_as_strided_partial_views_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_atan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_bfloat16_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_cholesky_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_clamp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_clamp_min_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_combinations_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_copysign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_diagflat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_diagonal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_eq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_eye_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fft_rfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_flipud_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_float_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_floor_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_index_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_isin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_isnan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_kron_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_eigvals_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_ldl_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_norm_subgradients_at_zero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_pinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_slogdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_tensorinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_log10_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_log1p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_log2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_logaddexp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_logical_and_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_lt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_multinomial_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nanmedian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_narrow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_native_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_neg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_adaptive_avg_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_celu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_conv2d_stride_padding_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_conv2d_stride_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_conv2d_strided_padding_dilation_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_fractional_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_group_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_hardshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_interpolate_trilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_mse_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_pixel_unshuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_norm_nuc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_pca_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_pow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_randn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_resize__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_searchsorted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_select_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_sgn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_sign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_signal_windows_gaussian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_signal_windows_general_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_split_with_sizes_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_svd_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_transpose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_trapz_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_unique_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_addr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_broadcast_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_cholesky_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_cos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_deg2rad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_dist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_dstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fft_fft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fft_hfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_gather_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_gradient_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_half_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_half_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_index_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_index_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_isposinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_kthvalue_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_matrix_rank_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_solve_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_log_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_logdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_logspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_lt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_max_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_meshgrid_list_of_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_movedim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_narrow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_channel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_conv2d_strided_padding_dilation_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_embedding_bag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_hardswish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_hinge_embedding_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_interpolate_trilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_pixel_unshuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_poisson_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_upsample_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_normal_in_place_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_normal_number_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_permute_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_polar_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_polygamma_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_polygamma_polygamma_n_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_polygamma_polygamma_n_2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_ravel_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_repeat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_roll_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_round_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_sign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_sin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_slice_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_sort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_hermite_polynomial_h_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_scaled_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_shifted_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_shifted_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_shifted_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_xlog1py_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_sub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_tan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_tensor_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_tile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp___rmatmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp___rmod___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_atanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_bool_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_byte_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_cfloat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_clamp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_corrcoef_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_cosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_cummin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_diag_embed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_diagonal_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_dist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_fftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_ifftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_index_put_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_eig_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_lu_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_solve_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_log1p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_log_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_logit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_logspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_logspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_max_pool2d_with_indices_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_min_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_min_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_msort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_multinomial_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nan_to_num_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nanmedian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nansum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_native_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_native_dropout_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_ctc_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_gaussian_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_hardshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_multi_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_selu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_smooth_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_outer_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_pinverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_randint_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_repeat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_resize_as__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_scalar_tensor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_scatter_reduce_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_sgn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_sigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_signal_windows_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_slice_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_bessel_j1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_hermite_polynomial_he_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_shifted_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_sqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_squeeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_std_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_take_along_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_trace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_tril_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_true_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_trunc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_unflatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_view_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_zero__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjpvmap_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjpvmap_SelectAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmap_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmapvmap_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmapvmap_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_conj_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_contiguous_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_flatten_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_list_return_hsplit_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_list_return_split_list_args_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_list_return_split_list_args_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_reshape_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_resolve_neg_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_unsqueeze_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_unsqueeze_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp___radd___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp___rdiv___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp__unsafe_masked_index_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_as_strided_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_asin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_atan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_bfloat16_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_broadcast_shapes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_clamp_max_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_div_trunc_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_ihfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_irfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_float_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_floor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_gt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_index_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_inner_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_jiterator_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_kron_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_lerp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_inv_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_matrix_rank_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_logdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_logical_and_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_logical_or_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_logspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_lu_unpack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_min_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_min_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_mul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_new_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_new_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_adaptive_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_adaptive_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_conv2d_stride_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_dropout2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_group_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_interpolate_nearest_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_logsigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_max_unpool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_multilabel_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_pdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_prelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_relu6_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_selu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_silu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_softplus_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_softshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nonzero_static_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_polar_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_ravel_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_round_decimals_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_round_decimals_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_scatter_reduce_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_signal_windows_kaiser_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_sort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_bessel_j1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_zeta_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_tile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_triangular_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_triu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_true_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_unflatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_unique_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_unsqueeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_zeros_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp___rsub___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp__native_batch_norm_legit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp__unsafe_masked_index_put_accumulate_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_addcdiv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_clamp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_column_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_diagonal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_div_trunc_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_erfc_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_ldl_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_slogdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_log2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_log_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_logaddexp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_logdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_matmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_matrix_exp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_max_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_maximum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_mvlgamma_mvlgamma_p_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_mvlgamma_mvlgamma_p_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_mvlgamma_mvlgamma_p_5_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nan_to_num_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nanmean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_new_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_adaptive_avg_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_conv2d_stride_groups_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_conv2d_stride_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_conv_transpose1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_embedding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_embedding_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_grid_sample_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_hinge_embedding_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_mse_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_multi_head_attention_forward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_pad_constant_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_pairwise_distance_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_poisson_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_tanhshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_threshold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_normal_in_place_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_ones_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_polygamma_polygamma_n_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_polygamma_polygamma_n_4_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_real_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_scatter_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_scatter_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_short_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_signal_windows_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_bessel_j1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_i0e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_shifted_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_shifted_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_shifted_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_sqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_take_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_tanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_unbind_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_var_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_view_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_view_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjpvmap_SelectAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap___rdiv___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap__batch_norm_with_update_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_acos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_addmm_decomposed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_angle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_any_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_as_strided_partial_views_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_atan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_atleast_1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_bfloat16_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_bfloat16_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_broadcast_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_bucketize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_contiguous_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_cosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_count_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_cumulative_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_deg2rad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_digamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_dsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_expand_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_fft_ifftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_fft_rfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_flatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_floor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_fmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_gather_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_ge_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_index_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_inner_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_int_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_isfinite_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_item_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_cond_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_householder_product_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_matrix_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_matrix_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_pinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_pinv_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_solve_triangular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_svdvals_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_log_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_maximum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_min_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_movedim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_adaptive_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_conv3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_conv_transpose2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_conv_transpose3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_cosine_embedding_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_glu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_mse_loss_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_pad_replicate_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_pad_replicate_negative_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_softshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_permute_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_renorm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_reshape_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_scatter_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_searchsorted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_signal_windows_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_signal_windows_gaussian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_signal_windows_general_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_sparse_sampled_addmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_modified_bessel_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_scaled_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_split_with_sizes_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_topk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_torch_ops_aten__safe_softmax_default_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_trunc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_unflatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_unique_consecutive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmapvmap_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmapvmap_SelectAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_SelectAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad__upsample_bilinear2d_aa_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_acos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_amin_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_as_strided_scatter_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_atleast_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_atleast_3d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_block_diag_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_bool_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_bool_functorch_no_channels_last_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_broadcast_to_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cdouble_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cholesky_inverse_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_clamp_max_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_combinations_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_count_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cross_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cumulative_trapezoid_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_diagflat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_diagonal_copy_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_diagonal_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_diagonal_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_empty_permuted_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_erf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_erfc_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_erfinv_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_exp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_expand_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_ihfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_ihfft2_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_ihfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_irfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fill_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_float_functorch_no_channels_last_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fmod_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ge_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_gradient_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_half_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_half_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_half_functorch_no_channels_last_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_heaviside_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_histc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_histc_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_histogram_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_histogramdd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_hsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_int_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_isfinite_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_isinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_isposinf_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_isreal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_jiterator_binary_return_by_ref_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_jiterator_unary_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_lerp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_lerp_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_lgamma_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_cholesky_ex_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_cond_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_cross_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_eigh_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_householder_product_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_householder_product_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_inv_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_ldl_factor_ex_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_lu_factor_ex_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_slogdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_solve_triangular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_svd_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_log_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_log_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_log_softmax_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logical_and_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_long_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_lt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_matmul_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_meshgrid_list_of_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_min_binary_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_msort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_multinomial_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_mv_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_mvlgamma_mvlgamma_p_3_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nan_to_num_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_narrow_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_narrow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_narrow_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ne_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_adaptive_avg_pool1d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_channel_shuffle_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_no_bias_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv_transpose3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_embedding_bag_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_embedding_functorch_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_feature_alpha_dropout_without_train_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_grid_sample_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_instance_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_instance_norm_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_interpolate_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_kl_div_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_max_unpool1d_grad_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_max_unpool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_max_unpool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_multi_head_attention_forward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_multi_head_attention_forward_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_pdist_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_scaled_dot_product_attention_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_softmin_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_threshold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_threshold_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_triplet_margin_loss_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nonzero_static_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_norm_fro_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_normal_in_place_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ones_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ops_aten_index_put_functorch_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ormqr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_outer_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_pca_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_positive_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_repeat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_reshape_as_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_reshape_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_round_decimals_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_round_decimals_0_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_round_decimals_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_scalar_tensor_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_scatter_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_scatter_reduce_prod_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sgn_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_short_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_general_hamming_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sparse_sampled_addmm_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_airy_ai_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_airy_ai_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_chebyshev_polynomial_v_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_entr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_i1e_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_laguerre_polynomial_l_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_ndtr_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_shifted_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_xlog1py_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_split_list_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_split_with_sizes_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sqrt_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_stack_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_std_mean_unbiased_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_stft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_trace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_true_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unflatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unique_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unsafe_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unsafe_split_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_view_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_SortGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_ZeroGradientsGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall___radd___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall___rmatmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall__batch_norm_with_update_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall__softmax_backward_data_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_addcdiv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_as_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_atan2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_atleast_1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_block_diag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_bool_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_chalf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_char_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_cholesky_inverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_corrcoef_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_cumulative_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_digamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_div_no_rounding_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_double_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_eq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_expm1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fft_fft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fft_hfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fft_ifft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fft_ifftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fft_ihfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fft_rfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_flip_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_T_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule___getitem___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule__unsafe_masked_index_put_accumulate_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_acos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_acosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_bfloat16_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_bool_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_broadcast_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_broadcast_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_byte_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_cartesian_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_clamp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_column_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_contiguous_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_cos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_cosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_diag_embed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_double_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_dsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_erf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_eye_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_fft_ifft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_fft_ifftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_flatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_ge_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_half_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_hstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_index_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_int_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_isclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_isinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_jiterator_4inputs_with_extra_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_jiterator_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_ldexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_diagonal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_matrix_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_tensorsolve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_log_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_log_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_log_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_logical_and_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_logspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_masked_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_masked_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_max_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_max_pool2d_with_indices_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_movedim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nan_to_num_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_new_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_adaptive_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_alpha_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_conv2d_stride_groups_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_conv2d_stride_padding_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_conv2d_strided_padding_dilation_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_ctc_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_embedding_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_huber_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_interpolate_nearest_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_layer_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_leaky_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_logsigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_pad_replicate_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nonzero_static_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_ormqr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_polygamma_polygamma_n_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_randint_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_remainder_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_rsqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_searchsorted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_signal_windows_blackman_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_sinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_bessel_y1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_modified_bessel_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_polygamma_special_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_std_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_tile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_trapz_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_unique_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_unsafe_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_unsqueeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_zeros_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_histogramdd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_hstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_hypot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_index_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_isfinite_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_jiterator_4inputs_with_extra_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_lgamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_cond_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_ldl_factor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_lu_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_matrix_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_solve_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_mv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_narrow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_new_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_new_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_conv3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_ctc_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_leaky_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_pad_replicate_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_pixel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_relu6_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_ops_aten_index_put_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_permute_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_polygamma_polygamma_n_2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_randint_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_randn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_ravel_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_remainder_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_scatter_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_signal_windows_gaussian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_signal_windows_general_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_signal_windows_hann_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_slice_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_sort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_i1e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_shifted_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_split_with_sizes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_square_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_std_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_std_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_topk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_trace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_triangular_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_trunc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_unbind_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_unsafe_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_var_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_vdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_view_as_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_xlogy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_zero__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_NumpyTakeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp___rmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp__segment_reduce_offsets_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp__unsafe_masked_index_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_addcmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_atanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_bernoulli_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_clamp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_clone_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_constant_pad_nd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_cos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_diagflat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_div_no_rounding_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fft_ifft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fft_irfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_float_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_histogramdd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_hsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_int_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_isfinite_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_isin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_jiterator_unary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_ldexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_eigvalsh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_inv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_ldl_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_lstsq_grad_oriented_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_multi_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_logaddexp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_logspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_minimum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_mvlgamma_mvlgamma_p_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_narrow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_adaptive_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_alpha_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_avg_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_conv2d_stride_groups_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_conv2d_stride_padding_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_conv_transpose2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_dropout2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_elu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_fractional_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_group_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_hardswish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_interpolate_area_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_kl_div_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_multilabel_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_pad_circular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_smooth_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_soft_margin_loss_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_scatter_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_sgn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_slice_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_bessel_y0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_torch_ops_aten__safe_softmax_default_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_trapz_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_uniform_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_var_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_view_copy_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_asinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_atan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_atleast_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_baddbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_bfloat16_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_cartesian_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_clamp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_combinations_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_conj_physical_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_corrcoef_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_min_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_multinomial_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_native_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_new_full_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_adaptive_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_avg_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_conv2d_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_conv2d_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_conv_transpose2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_cosine_embedding_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_glu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_interpolate_bicubic_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_interpolate_trilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_max_unpool3d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_multi_head_attention_forward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_multilabel_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_pad_reflect_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_pixel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_scaled_dot_product_attention_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_triplet_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nonzero_static_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_norm_inf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_reciprocal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_remainder_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_reshape_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_round_decimals_3_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_embedding_bag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_fractional_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_grid_sample_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_hardtanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_huber_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_leaky_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_margin_ranking_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_max_unpool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_mish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_multi_head_attention_forward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_pad_replicate_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_normal_in_place_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_ormqr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_outer_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_polar_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_ravel_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_repeat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_repeat_interleave_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_reshape_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_resolve_neg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_scatter_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_short_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_signal_windows_nuttall_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_sinc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_sort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_bessel_y0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_hermite_polynomial_he_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_scaled_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_zeta_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_to_sparse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_trace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_transpose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_triu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_var_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_var_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_vdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_zeros_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvmap_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvmap_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvmap_NumpyCubeAutogradFunction_cpu_float32
2025-03-14T05:48:13.1334635Z 
2025-03-14T05:48:17.1911743Z Running functorch/test_ops 7/8 ... [2025-03-14 05:48:17.190592]
2025-03-14T05:48:17.1912718Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:48:17.1918196Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_ops.py', '-m', 'not serial', '--shard-id=7', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-03-14 05:48:17.191094]
2025-03-14T05:53:12.7932131Z 
2025-03-14T05:53:12.7933705Z functorch/test_ops 2/8 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ops_2.8_38f5a0be2e538ade_.log
2025-03-14T05:53:12.8467831Z Running 1292 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_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_ZeroGradientsGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad__batch_norm_with_update_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad__unsafe_masked_index_put_accumulate_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad__upsample_bilinear2d_aa_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_abs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_addcdiv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_addmm_decomposed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_alias_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_aminmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_argwhere_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_asin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_asinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_bfloat16_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_broadcast_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_cartesian_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_char_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_clone_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_cosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_cummax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_cummin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_cumulative_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_diag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_double_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fft_fft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fft_ihfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fft_rfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_gather_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_histogram_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_hypot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_index_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_inner_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_isreal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_cond_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_lstsq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_matrix_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_vecdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_logical_not_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_logit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_max_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_mvlgamma_mvlgamma_p_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_mvlgamma_mvlgamma_p_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nansum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_avg_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_conv2d_stride_groups_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_conv2d_stride_padding_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_conv2d_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_conv3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_dropout3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_embedding_bag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_gelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_hardsigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_instance_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_interpolate_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_leaky_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_logsigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_max_unpool3d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_smooth_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_threshold_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_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_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_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_round_decimals_3_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_sigmoid_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_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_entr_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_scaled_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_sqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_stack_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_take_along_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_trace_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_unsqueeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_where_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp___getitem___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp___rmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp__unsafe_masked_index_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_acosh_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_any_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_as_strided_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_broadcast_shapes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_cartesian_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_cdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_cosh_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_fft_ifft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fft_irfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_floor_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_index_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_int_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_jiterator_unary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_lstsq_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_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_lu_solve_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_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_matmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_maximum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_min_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_mvlgamma_mvlgamma_p_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nanquantile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_native_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_new_empty_strided_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_alpha_dropout_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_conv3d_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_fractional_max_pool3d_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_max_pool2d_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_multilabel_margin_loss_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_ormqr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_randn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_renorm_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_scatter_add_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_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_signbit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_erfcx_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_modified_bessel_i0_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_sum_to_size_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_triangular_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_unsqueeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_var_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_zeros_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp___getitem___functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp__segment_reduce_offsets_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_aminmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_argmin_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_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_broadcast_tensors_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_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_dot_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_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_ifftn_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_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_ge_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_index_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_index_reduce_prod_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_unary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_le_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_ldl_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_matrix_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_qr_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_vector_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_log_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_logcumsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_min_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_mm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_mv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_mvlgamma_mvlgamma_p_3_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_binary_cross_entropy_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_conv3d_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_fractional_max_pool2d_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_trilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_leaky_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_max_pool3d_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_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_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_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_randn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_repeat_interleave_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_resize__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_resolve_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_rsub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_sign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_sin_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_std_mean_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_topk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_triangular_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_unsafe_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjpvmap_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmap_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmapvmap_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmapvmap_NumpyTakeAutogradFunction_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_conj_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_vjp_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_movedim_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_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_vjp_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_SortGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_acos_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_all_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_byte_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_ceil_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_cholesky_inverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_constant_pad_nd_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_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_dist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_equal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_ifftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_irfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_rfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_flipud_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_histogram_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_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_index_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_isfinite_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_isneginf_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_eig_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_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_pinv_singular_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_logical_not_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_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_meshgrid_variadic_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_mm_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_neg_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_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_dropout3d_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_hardsigmoid_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_local_response_norm_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_unpool3d_grad_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_poisson_nll_loss_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_threshold_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_fro_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_ones_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_prod_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_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_short_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_sigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_signal_windows_general_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_softmax_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_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_scaled_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_tan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_trapezoid_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_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_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_vjpvjp_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp___rmatmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp__softmax_backward_data_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_arange_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_atleast_1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_bernoulli_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_dist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_double_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_dstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_einsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_empty_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_empty_permuted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_equal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_fft_fftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_fft_hfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_fft_irfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_fft_rfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_flipud_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_gather_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_ge_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_grid_sampler_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_histogram_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_inner_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_int_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_isreal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_jiterator_4inputs_with_extra_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_ldexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_lerp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_det_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_eigvalsh_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_svdvals_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_vander_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_logical_and_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_logical_not_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_long_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_mH_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_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_softmin_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_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_mul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_conv2d_stride_padding_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_conv2d_strided_padding_dilation_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_dropout3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_huber_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_instance_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_interpolate_nearest_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_interpolate_trilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_layer_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_relu6_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_triplet_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_upsample_nearest_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_norm_fro_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_norm_inf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_norm_nuc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_polygamma_polygamma_n_2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_pow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_rad2deg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_rsqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_rsub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_searchsorted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_short_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_signal_windows_general_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_sin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_airy_ai_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_bessel_y0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_modified_bessel_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_squeeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_squeeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_transpose_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_unfold_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_unique_consecutive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_vdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_zeros_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_H_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_NumpyTakeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_T_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_addcmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_addmv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_argwhere_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_bool_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_byte_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_byte_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_chalf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_clamp_max_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_fft_hfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_fft_ihfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_fft_irfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_fft_rfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_flipud_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_float_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_float_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_floor_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_fmod_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_index_fill_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_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_inv_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_norm_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_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_masked_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_fill_functorch_Scalar_only_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_mode_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_ne_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_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_strided_padding_dilation_with_bias_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_group_norm_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_linear_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_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_multi_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_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_pixel_unshuffle_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_softplus_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_ormqr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_polygamma_polygamma_n_2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_positive_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_short_functorch_no_channels_last_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_kaiser_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_signal_windows_nuttall_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_sin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_airy_ai_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_hermite_polynomial_h_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_scaled_modified_bessel_k0_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_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_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_tril_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_vdot_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_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_NumpyCubeNotComposableAutogradFunction_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_SelectAutogradFunction_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__segment_reduce_offsets_cpu_float64, 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_add_cpu_float64, 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_amax_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_aminmax_cpu_float32, 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_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_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_atleast_2d_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_cat_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_char_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_clone_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_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_count_nonzero_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cummax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_diag_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_double_cpu_float32, 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_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_expand_as_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_fft_fft2_cpu_float64, 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_rfftn_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_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_frexp_cpu_float32, 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_gather_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_select_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_isfinite_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_isinf_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_item_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_kron_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_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_float64, 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_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_inv_cpu_float32, 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_lu_factor_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_pinv_singular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_solve_ex_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_log10_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_logical_or_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_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_long_functorch_no_channels_last_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_fill_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_softmax_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_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_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_mm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_mul_cpu_float64, 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_nan_to_num_cpu_float64, 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_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_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_avg_pool1d_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_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_gelu_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_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_cpu_float64, 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_local_response_norm_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_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_mse_loss_cpu_float64, 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_rms_norm_cpu_float32, 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_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_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_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_nonzero_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_ones_like_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_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_rad2deg_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_reshape_as_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_sigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sign_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_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_softmax_cpu_float64, 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_erfcx_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_modified_bessel_i1_cpu_float32, 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_scaled_modified_bessel_k0_cpu_float32, 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_v_cpu_float64, 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_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_sum_to_size_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_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_trapezoid_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_true_divide_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_view_copy_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_xlogy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_T_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall___rmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall__segment_reduce_lengths_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_addmm_decomposed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_aminmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_as_strided_partial_views_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_contiguous_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_div_trunc_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_einsum_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_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_ihfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fft_rfftn_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_geometric_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_NumpyCubeAutogradFunction_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___rmul___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__upsample_bilinear2d_aa_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_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_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_atleast_1d_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_cfloat_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_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_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_dot_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_exponential_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_fmod_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_igamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_isreal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_jiterator_2inputs_2outputs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_lerp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_cond_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_eig_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_logdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_logical_xor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_masked_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_masked_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_masked_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_matmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_meshgrid_list_of_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_mm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nanquantile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_narrow_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_ne_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_conv2d_no_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_strided_padding_dilation_with_bias_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_max_unpool1d_grad_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_pairwise_distance_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_rrelu_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_normal_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_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_pinverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_randint_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_ravel_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_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_sign_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_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_hermite_polynomial_he_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_squeeze_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_topk_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_unbind_copy_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_index_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_inner_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_isneginf_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_eig_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_eigh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_householder_product_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_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_pinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_logcumsumexp_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_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_narrow_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_neg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_new_ones_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_bilinear_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_conv_transpose3d_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_embedding_bag_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_gelu_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_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_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_grad_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_upsample_bilinear_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_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_reciprocal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_renorm_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_signal_windows_nuttall_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_softmax_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_i1_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_ndtri_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_zeta_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_t_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_to_sparse_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_unique_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_unsqueeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_NumpyExpMarkDirtyAutogradFunction_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__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_addmm_decomposed_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_partial_views_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_atleast_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_bmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_broadcast_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_cdist_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_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_conj_physical_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_cosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_cummax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_div_floor_rounding_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_dstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_erfinv_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_hfft_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_ge_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_half_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_igamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_index_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_index_reduce_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_isposinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_jiterator_binary_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_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_det_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_diagonal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_eigh_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_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_vander_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_logspace_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_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_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_max_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_max_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_min_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nanquantile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_ne_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_nn_functional_adaptive_avg_pool1d_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_padding_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_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_embedding_functorch_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_max_unpool2d_grad_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_normalize_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_pixel_unshuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_softsign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nonzero_static_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_norm_fro_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_polar_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_positive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_remainder_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_hann_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_signal_windows_kaiser_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_slice_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_bessel_j0_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_i0e_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_ndtri_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_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_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_tensordot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_topk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_tril_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_unflatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_unsqueeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_view_as_complex_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_SortGenVmapAutogradFunction_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__softmax_backward_data_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_addmm_decomposed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_atleast_2d_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_bool_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_cfloat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_cholesky_inverse_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_cov_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_cumulative_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_equal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_exp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_fft_ifft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_fft_irfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_flip_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_float_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_fmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_full_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_gather_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_ge_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_geqrf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_half_functorch_no_channels_last_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_shifted_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_tan_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_unfold_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_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
2025-03-14T05:53:12.8972080Z 
2025-03-14T05:53:18.0228784Z Running functorch/test_ops 8/8 ... [2025-03-14 05:53:18.022162]
2025-03-14T05:53:18.0229912Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:53:18.0232654Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_ops.py', '-m', 'not serial', '--shard-id=8', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-03-14 05:53:18.022583]
2025-03-14T05:54:36.8290238Z 
2025-03-14T05:54:36.8291869Z functorch/test_ops 5/8 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ops_5.8_558e33b98e8b5c77_.log
2025-03-14T05:54:36.9341947Z Running 1320 items in this shard: test/functorch/test_ops.py::TestOperatorsCPU::test_extremal_numerics_nll_loss_cpu, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_SortGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_addr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_as_strided_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_atleast_1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_block_diag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_byte_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_div_trunc_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_erfinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fft_hfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fft_ifft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fft_ifftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fft_irfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fft_rfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_floor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_frac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_full_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_ge_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_grad_logical_xor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_long_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_mH_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_matrix_exp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_max_binary_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_softmin_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_tanhshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_triplet_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_ops_aten__new_zeros_with_same_feature_meta_functorchonly_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_reciprocal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_repeat_interleave_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_resize__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_searchsorted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_sigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_signal_windows_gaussian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_signal_windows_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_slice_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_bessel_j1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_bessel_y0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_i1e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_square_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_std_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_take_along_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_trace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_trunc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_unbind_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_unsqueeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_vdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_view_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_xlogy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpjvpvmap_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpjvpvmap_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpjvpvmap_SortGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_SortGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_T_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp__chunk_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp__native_batch_norm_legit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp__softmax_backward_data_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp__unsafe_masked_index_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_abs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_acos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_all_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_allclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_bernoulli_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_block_diag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_cdouble_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_ceil_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_cholesky_inverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_conj_physical_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_cos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_cov_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_diag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_diagonal_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_dsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_exp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_hfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_ihfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_irfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_irfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_flip_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_floor_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_full_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_index_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_index_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_index_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_index_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_kthvalue_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_lerp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_diagonal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_householder_product_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_ldl_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_matrix_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_matrix_rank_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_multi_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_pinv_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_log2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_fill_functorch_Scalar_only_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_mvlgamma_mvlgamma_p_5_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_native_layer_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_new_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_adaptive_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_avg_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_channel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_conv2d_stride_groups_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_embedding_bag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_glu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_grid_sample_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_max_unpool1d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_mse_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_multi_head_attention_forward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_softshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_norm_nuc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_permute_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_polar_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_polygamma_polygamma_n_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_positive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_renorm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_roll_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_rot90_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_round_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_round_decimals_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_scatter_reduce_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_signal_windows_hann_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_sinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_sort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_modified_bessel_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_polygamma_special_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_split_with_sizes_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_svd_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_unique_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_unsqueeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_vdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_vstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_xlogy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjpvmap_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmap_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_list_return_dsplit_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_resolve_conj_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_resolve_neg_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_select_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_squeeze_multiple_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_unfold_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_view_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp___rmatmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp__chunk_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp__softmax_backward_data_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp__unsafe_masked_index_put_accumulate_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_allclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_any_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_as_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_atleast_1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_baddbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_bool_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_broadcast_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_cartesian_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_cauchy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_char_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_combinations_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_cosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_cumulative_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_diag_embed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_diagflat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_div_no_rounding_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_dsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_einsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_exp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_ifft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_irfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fmod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_frac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_full_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_geometric_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_gradient_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_hypot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_igammac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_index_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_jiterator_unary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_le_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_det_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_ldl_factor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_lu_factor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_matrix_rank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_multi_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_tensorsolve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_logaddexp2_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_hinge_embedding_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_interpolate_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_max_unpool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_pad_replicate_negative_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_rms_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_tanhshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_upsample_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_pinverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_polygamma_polygamma_n_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_polygamma_polygamma_n_3_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_split_list_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_square_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_stft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_sub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_sum_to_size_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_svd_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_uniform_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_unique_consecutive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_view_as_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_vstack_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_flip_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_fliplr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_half_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_index_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_isnan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_isneginf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_isreal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_jiterator_binary_return_by_ref_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_lerp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_det_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linspace_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_pairwise_distance_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_rrelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_upsample_nearest_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_permute_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_pow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_real_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_reciprocal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_rot90_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_scatter_reduce_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_scatter_reduce_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_signal_windows_bartlett_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_bessel_y1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_entr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_log_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_sum_to_size_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_svd_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_transpose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_unsqueeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_unsqueeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmapvmap_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_H_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_SortGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ZeroGradientsGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad___rdiv___cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad___rmatmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad___rmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad__segment_reduce_lengths_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_acosh_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_addcdiv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_addr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_alias_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_argmax_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_argsort_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_as_strided_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_as_strided_partial_views_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_asinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_atanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_bernoulli_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_bmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_bool_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_byte_functorch_no_channels_last_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cartesian_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ceil_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ceil_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_char_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cholesky_inverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_clamp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_clone_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_combinations_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_constant_pad_nd_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_contiguous_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_corrcoef_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cov_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_dist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_dot_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_empty_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_equal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_erf_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_expand_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_exponential_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_fft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_fftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_hfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_ifft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_ifftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_irfftn_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_rfft_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_float_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fmax_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_geometric_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_geometric_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_grid_sampler_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_grid_sampler_2d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_index_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_inner_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_int_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_int_functorch_no_channels_last_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_isreal_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_item_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_jiterator_4inputs_with_extra_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_jiterator_binary_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_kthvalue_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_inv_ex_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_ldl_factor_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_ldl_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_ldl_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_ldl_solve_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_lstsq_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_matrix_rank_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_multi_dot_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_pinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_pinv_hermitian_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_qr_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_solve_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_solve_triangular_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_tensorsolve_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_vander_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_vecdot_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_vector_norm_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_log2_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logdet_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logical_not_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_long_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_amax_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_median_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_scatter_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_maximum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_median_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_meshgrid_variadic_tensors_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_min_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_mv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_mvlgamma_mvlgamma_p_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nanquantile_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nansum_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_adaptive_max_pool3d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_alpha_dropout_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_binary_cross_entropy_with_logits_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_channel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_stride_depthwise_with_bias_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_stride_no_bias_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_strided_padding_dilation_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_cross_entropy_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_elu_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_gelu_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_hardswish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_huber_loss_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_interpolate_area_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_interpolate_bicubic_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_interpolate_bicubic_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_leaky_relu_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_margin_ranking_loss_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_max_unpool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_max_unpool3d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_mish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_multi_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_pad_circular_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_pad_constant_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_pairwise_distance_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_pixel_unshuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_silu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_silu_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_softplus_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_tanhshrink_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_norm_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_norm_nuc_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_permute_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_polar_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_polygamma_polygamma_n_2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_positive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_pow_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_quantile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_randint_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_randint_like_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_reciprocal_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_remainder_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_reshape_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_resolve_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_resolve_neg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_resolve_neg_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_rsqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_scalar_tensor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_scatter_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_scatter_reduce_amax_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_select_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_bartlett_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_hamming_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_nuttall_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signbit_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sparse_sampled_addmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_erfcx_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_hermite_polynomial_h_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_hermite_polynomial_h_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_i1_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_log_ndtr_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_modified_bessel_k1_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_zeta_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_split_with_sizes_copy_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_square_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_svd_lowrank_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_t_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_t_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_take_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_transpose_copy_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_transpose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_trapz_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_triangular_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unbind_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unflatten_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_uniform_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unsafe_chunk_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unsqueeze_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_var_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_vdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_vsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_vsplit_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall___rdiv___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall__upsample_bilinear2d_aa_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_allclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_any_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_argsort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_asin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_atan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_baddbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_broadcast_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_cauchy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_clamp_max_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_conj_physical_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_deg2rad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_double_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_empty_permuted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_equal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_erfc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_flatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_float_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fmod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_frac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_NumpyTakeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_SelectAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule___rmatmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule___rpow___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_addmv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_allclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_angle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_as_strided_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_atleast_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_atleast_3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_bfloat16_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_byte_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_chalf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_char_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_cummax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_cummin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_diagonal_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_div_floor_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_equal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_erfc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_fft_fft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_fft_ihfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_fft_rfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_flip_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_float_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_fmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_gradient_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_igammac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_index_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_index_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_isneginf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_jiterator_unary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_inv_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_lu_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_pinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_solve_triangular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_logical_not_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_mT_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_masked_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_masked_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_masked_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_maximum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_min_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_minimum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_mul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_native_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_native_layer_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_new_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_conv2d_stride_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_conv2d_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_conv_transpose1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_dropout2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_elu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_embedding_bag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_gaussian_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_group_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_interpolate_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_interpolate_trilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_prelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_silu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_softmin_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_tanhshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_threshold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_norm_fro_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_normal_number_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_polygamma_polygamma_n_4_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_renorm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_scatter_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_signal_windows_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_signal_windows_gaussian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_signal_windows_general_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_slice_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_spherical_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_zeta_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_take_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_tan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_tensordot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_unbind_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_unflatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_var_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_index_put_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_index_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_det_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_inv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_solve_triangular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_tensorinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_vector_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_log1p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_logdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_logical_or_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_logit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_mH_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_mT_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_max_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_max_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_min_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_minimum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_mm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_mvlgamma_mvlgamma_p_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_mvlgamma_mvlgamma_p_5_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nanquantile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_native_dropout_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nextafter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_avg_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_dropout3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_hardshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_instance_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_interpolate_bicubic_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_layer_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_max_unpool1d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_pad_circular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_pad_reflect_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_upsample_nearest_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_normal_number_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_rot90_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_scatter_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_scatter_reduce_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_select_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_sigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_sparse_mm_reduce_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_modified_bessel_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_shifted_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_split_list_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_sqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_squeeze_multiple_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_std_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_stft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_tan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_vsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_SelectAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp__chunk_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp__upsample_bilinear2d_aa_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_abs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_acosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_addcdiv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_aminmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_byte_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_cdouble_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_cfloat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_clamp_max_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_clamp_min_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_column_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_cummin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_deg2rad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_diagonal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_diff_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_div_trunc_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_erf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_expand_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_expand_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_expm1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fft_fft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fft_ihfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fft_ihfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fliplr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_float_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fmod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_full_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_histc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_hstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_inner_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_isinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_isnan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_isneginf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_isreal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_matrix_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_matrix_rank_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_solve_triangular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_tensorinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_log_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_logit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_meshgrid_variadic_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_min_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_mul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_native_layer_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_adaptive_avg_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_adaptive_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_avg_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_ctc_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_embedding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_glu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_instance_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_interpolate_nearest-exact_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_leaky_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_max_unpool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_mse_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_mse_loss_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_pad_replicate_negative_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_pixel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_triplet_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_pca_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_polygamma_polygamma_n_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_pow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_real_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_resize__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_round_decimals_neg_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_rsub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_hermite_polynomial_he_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_laguerre_polynomial_l_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_log_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_sub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_tan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_tanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_tensor_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_transpose_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_triu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_trunc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_unbind_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_SortGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_T_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp___getitem___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp___getitem___functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp___radd___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp___rsub___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_alias_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_angle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_arange_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_atleast_1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_baddbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_bfloat16_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_broadcast_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_cosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_count_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_diagonal_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_einsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_erfinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_eye_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_fft_hfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_fft_ihfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_flatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_float_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule___getitem___functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule___rdiv___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule___rsub___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_arange_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_atleast_1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_broadcast_shapes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_cdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_column_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_contiguous_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_cummax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_dstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_einsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_eq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_expand_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_expm1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_fft_hfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_fft_ihfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_fft_irfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_flatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_flipud_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_frexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_gradient_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_half_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_heaviside_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_index_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_isclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_jiterator_2inputs_2outputs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_kthvalue_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_le_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_linalg_ldl_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_linalg_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_linalg_tensorsolve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_log_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_logical_or_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_masked_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_masked_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_max_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_mm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_mvlgamma_mvlgamma_p_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_native_layer_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_new_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_conv1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_embedding_bag_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_max_unpool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_pad_constant_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_pdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_selu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_softmin_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_tanhshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_threshold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_ops_aten_index_put_functorch_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_native_layer_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_conv1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_conv2d_stride_padding_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_dropout3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_gaussian_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_grid_sample_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_hardswish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_hardtanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_hinge_embedding_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_interpolate_bicubic_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_interpolate_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_margin_ranking_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_max_unpool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_multi_head_attention_forward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_rrelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_softshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_pinverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_positive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_reshape_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_resize_as__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_scatter_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_scatter_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_sigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_signal_windows_kaiser_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_sin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_slice_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_i1e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_legendre_polynomial_p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_svd_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_take_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_trace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_unflatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_vsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp___radd___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp___rdiv___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_acosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_allclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_argsort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_atan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_broadcast_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_byte_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_cfloat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_cosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_diag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_diagonal_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_dist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_div_floor_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_div_no_rounding_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fft_fftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fft_fftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fft_hfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fft_ihfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fft_irfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_index_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_lu_factor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_norm_subgradients_at_zero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_slogdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_svdvals_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_logdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_logical_xor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_mH_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_mT_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_max_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_msort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_mvlgamma_mvlgamma_p_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_mvlgamma_mvlgamma_p_5_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nanmedian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_narrow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_adaptive_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_alpha_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_celu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_conv2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_conv2d_stride_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_conv3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_ctc_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_elu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_interpolate_area_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_max_unpool2d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_mse_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_multi_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_relu6_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_softshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_norm_inf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_polygamma_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_randint_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_renorm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_resize_as__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_resolve_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_select_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_sgn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_signal_windows_bartlett_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_split_with_sizes_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_squeeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_std_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_tensor_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_uniform_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_unsqueeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_vsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_vstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvmap_SortGenVmapAutogradFunction_cpu_float32
2025-03-14T05:54:37.0341592Z 
2025-03-14T05:54:40.4085767Z Running test_sparse 3/3 ... [2025-03-14 05:54:40.408164]
2025-03-14T05:54:40.4086634Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:54:40.4088770Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_sparse.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'] ... [2025-03-14 05:54:40.408517]
2025-03-14T05:58:57.8110388Z 
2025-03-14T05:58:57.8112046Z functorch/test_ops 7/8 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ops_7.8_abc43064795b9a6d_.log
2025-03-14T05:58:57.9009352Z Running 1300 items in this shard: test/functorch/test_ops.py::TestOperatorsCPU::test_grad_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad___rpow___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad__segment_reduce_offsets_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_acos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_addbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_addmv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_broadcast_shapes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_bucketize_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_pad_replicate_negative_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_poisson_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_relu6_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_rms_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nonzero_static_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_norm_fro_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_ops_aten__new_zeros_with_same_feature_meta_functorchonly_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_randn_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_remainder_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_scatter_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_searchsorted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_short_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_signal_windows_blackman_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_signal_windows_general_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_sinc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_airy_ai_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_spherical_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_square_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_sub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_sum_to_size_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_var_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_view_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_where_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmap_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmap_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_expand_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_list_return_unbind_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_mT_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_narrow_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_select_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_special_grad_op_jvp_cpu, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_NumpyTakeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp__segment_reduce_lengths_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_aminmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_angle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_as_strided_partial_views_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_asinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_byte_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_cfloat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_clamp_min_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_clone_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_cos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_cov_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_cummax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_erf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_expand_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_expand_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_expm1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_hfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_ifft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_ifftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_float_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_float_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_frexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_int_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_isin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_isinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_ldexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_ldl_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_matrix_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_norm_subgradients_at_zero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_pinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_pinv_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_solve_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_log10_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_log2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_logit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_max_pool2d_with_indices_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_maximum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_msort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_narrow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_adaptive_avg_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_avg_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_conv1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_conv2d_stride_depthwise_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_conv2d_stride_groups_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_conv_transpose2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_ctc_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_elu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_hardtanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_huber_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_margin_ranking_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_mish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_pad_constant_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_pairwise_distance_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_smooth_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_triplet_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_ormqr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_positive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_rand_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_randint_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_randn_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_reciprocal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_roll_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_scatter_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_scatter_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_entr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_squeeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_squeeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_take_along_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_take_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_tensordot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_transpose_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_transpose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_unbind_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_view_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_vsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_SortGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp___rmod___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp__upsample_bilinear2d_aa_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_acos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_addcmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_addmm_decomposed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_alias_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_all_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_allclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_argwhere_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_as_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_as_strided_partial_views_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_bmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_cfloat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_clamp_min_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_div_no_rounding_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_expm1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_fft_hfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_fft_ihfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_fft_rfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_flatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_float_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_geometric_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_index_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_index_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_kthvalue_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_multi_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_pinv_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_vector_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_log10_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_max_pool2d_with_indices_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_msort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_native_layer_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_new_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_adaptive_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_adaptive_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_conv2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_interpolate_bicubic_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_max_unpool1d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_mish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_mse_loss_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_pad_reflect_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_pdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_scaled_dot_product_attention_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_smooth_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_softmin_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_softsign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_ops_aten__new_zeros_with_same_feature_meta_functorchonly_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_pca_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_permute_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_pinverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_polygamma_polygamma_n_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_rand_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_remainder_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_repeat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_roll_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_scatter_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_signal_windows_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_sinc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_entr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_i1e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_laguerre_polynomial_l_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_spherical_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_split_list_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_std_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_sub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_svd_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_true_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_uniform_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_var_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_view_as_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjpvmap_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_addbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_addmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_addr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_arange_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_as_strided_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_atan2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_atleast_3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_baddbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_bernoulli_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_cartesian_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_char_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_cholesky_inverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_copysign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_corrcoef_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_cummax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_diagonal_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_diff_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_dist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_double_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_exp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_expm1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_fft_fftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_fft_irfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_fft_irfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_fft_rfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_full_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_histc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_hstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_igammac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_index_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_index_put_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_isposinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_jiterator_4inputs_with_extra_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_kron_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_ldexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_lgamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_diagonal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_eig_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_eigvalsh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_lstsq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_pinv_singular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_tensorsolve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_logical_xor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_long_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_minimum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nan_to_num_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_neg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_adaptive_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_binary_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_cosine_similarity_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_gaussian_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_interpolate_nearest-exact_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_max_unpool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_multilabel_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_pixel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_scaled_dot_product_attention_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nonzero_static_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_ones_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_ops_aten__new_zeros_with_same_feature_meta_functorchonly_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_pinverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_randint_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_roll_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_round_decimals_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_scalar_tensor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_slice_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_slice_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_sparse_mm_reduce_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_bessel_y0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_legendre_polynomial_p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_split_with_sizes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_sub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_true_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_unfold_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_vsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_vstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmapvmap_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_H_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_NumpyTakeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ScaleGradGenVmapAutogradFunction_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_T_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad___getitem___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad___getitem___cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad___radd___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad___rmod___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad___rsub___cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad__native_batch_norm_legit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad__segment_reduce_lengths_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad__softmax_backward_data_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_acos_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_addcmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_addmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_addmm_decomposed_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_aminmax_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_as_strided_partial_views_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_as_strided_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_atanh_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_atleast_1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_baddbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_bernoulli_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_bucketize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_byte_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cartesian_prod_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cauchy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cdouble_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_char_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cholesky_solve_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_conj_physical_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_constant_pad_nd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cummin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cumprod_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_digamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_digamma_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_div_floor_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_double_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_dsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_empty_permuted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_eq_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_exp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_exp2_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_expand_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_expand_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_fft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_fftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_hfftn_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_ihfft_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_irfft2_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_rfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_float_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_float_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_float_power_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_floor_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fmin_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_frac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_frac_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_gather_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_heaviside_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_histogramdd_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_hsplit_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_hstack_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_hypot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_igamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_index_fill_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_index_reduce_amax_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_inner_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_jiterator_2inputs_2outputs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_jiterator_2inputs_2outputs_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ldexp_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_lgamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_cholesky_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_det_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_eigvals_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_lstsq_grad_oriented_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_lu_solve_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_matrix_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_matrix_rank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_norm_subgradients_at_zero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_pinv_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_pinv_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_solve_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_vecdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linspace_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_log10_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_log_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_log_softmax_with_dtype_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logcumsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_lt_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_mT_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_prod_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_softmin_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_std_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_sum_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_var_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_matmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_matrix_exp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_maximum_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_min_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_min_reduction_no_dim_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_minimum_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_movedim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_mul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_mvlgamma_mvlgamma_p_1_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nanmean_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nanmedian_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_native_dropout_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_native_dropout_backward_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_new_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_new_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_new_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nextafter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_batch_norm_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_binary_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_celu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv1d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_stride_groups_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_stride_padding_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_strided_padding_dilation_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_strided_padding_dilation_with_bias_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv3d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv_transpose1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv_transpose3d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_cosine_similarity_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_cosine_similarity_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_ctc_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_dropout3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_embedding_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_hardshrink_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_hardsigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_hinge_embedding_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_interpolate_bilinear_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_leaky_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_local_response_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_max_unpool3d_grad_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_mse_loss_functorch_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_multi_margin_loss_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_pixel_unshuffle_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_selu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_triplet_margin_with_distance_loss_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_unfold_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_norm_nuc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ops_aten__new_zeros_with_same_feature_meta_functorchonly_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_pinverse_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_polygamma_polygamma_n_0_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_rand_like_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_randint_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ravel_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_resize__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_roll_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_rsub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_scatter_reduce_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_scatter_reduce_sum_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_searchsorted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_select_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_blackman_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_blackman_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_gaussian_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_general_cosine_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sinc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_bessel_j0_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_bessel_y0_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_chebyshev_polynomial_w_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_entr_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_laguerre_polynomial_l_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_legendre_polynomial_p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_shifted_chebyshev_polynomial_t_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_shifted_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_spherical_bessel_j0_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_split_list_args_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_split_with_sizes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_squeeze_copy_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_squeeze_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_stft_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sum_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_tan_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_tensordot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_trunc_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unbind_copy_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unfold_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unique_consecutive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unique_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_var_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_var_mean_unbiased_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_view_as_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_view_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_zeros_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_zeros_like_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_H_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall___rmod___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall__native_batch_norm_legit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall__segment_reduce_offsets_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_acosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_addbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_alias_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_as_strided_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_bfloat16_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_bool_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_byte_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_cdouble_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_cummin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_diag_embed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_diff_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_dstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_expand_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fft_ifftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fliplr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_frexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_gather_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_gradient_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_grid_sampler_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_MulGenVmapAutogradFunction_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__batch_norm_with_update_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule__segment_reduce_lengths_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_addbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_addcdiv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_addr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_arange_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_as_strided_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_as_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_asin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_atan2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_baddbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_bucketize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_cholesky_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_corrcoef_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_count_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_cov_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_diff_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_dist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_empty_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_exp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_fft_fftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_fft_hfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_fft_ifft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_fft_ifftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_fft_rfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_float_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_floor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_fmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_frexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_geometric_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_grid_sampler_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_half_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_index_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_index_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_inner_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_isin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_item_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_jiterator_binary_return_by_ref_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_le_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_householder_product_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_ldl_factor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_ldl_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_svdvals_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_tensorinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_vander_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_log2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_long_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_lt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_masked_fill_functorch_Scalar_only_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_masked_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_max_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_multinomial_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_mvlgamma_mvlgamma_p_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_new_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_adaptive_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_celu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_conv1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_conv3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_conv_transpose2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_conv_transpose3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_grid_sample_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_interpolate_area_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_interpolate_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_interpolate_nearest-exact_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_local_response_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_max_unpool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_max_unpool2d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_mse_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_pixel_unshuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_scaled_dot_product_attention_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_upsample_nearest_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_ops_aten__new_zeros_with_same_feature_meta_functorchonly_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_polar_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_polygamma_polygamma_n_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_positive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_rad2deg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_repeat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_repeat_interleave_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_round_decimals_neg_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_signbit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_sinc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_entr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_erfcx_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_log_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_scaled_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_xlog1py_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_svd_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_triangular_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_unique_consecutive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_unsafe_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_var_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_vdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_view_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_where_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_igamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_index_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_index_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_isin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_jiterator_binary_return_by_ref_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_cholesky_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_diagonal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_eigvalsh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_ldl_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_lstsq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_svdvals_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_log2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_log_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_logaddexp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_maximum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_min_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nansum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_adaptive_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_celu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_conv2d_stride_groups_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_conv2d_stride_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_hardswish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_local_response_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_max_unpool3d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_prelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_softmin_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_softplus_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_normal_in_place_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_outer_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_permute_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_positive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_resize_as__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_searchsorted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_sgn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_signal_windows_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_signal_windows_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_signbit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_legendre_polynomial_p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_shifted_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_spherical_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_tensordot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_torch_ops_aten__safe_softmax_default_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_var_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_view_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_view_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_T_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_acos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_addmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_arange_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_argwhere_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_as_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_atan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_atleast_1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_baddbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_bool_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_broadcast_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_byte_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_cholesky_inverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_combinations_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_count_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_diag_embed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_digamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_double_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_empty_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_exp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fft_fftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fft_irfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_float_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_full_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_geqrf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_grid_sampler_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_hypot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_index_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_index_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_index_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_lgamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_eigvals_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_matrix_rank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_norm_subgradients_at_zero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_pinv_singular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_slogdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_vecdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_logical_xor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_lu_unpack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_maximum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_mv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_native_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_neg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nextafter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_channel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_conv3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_conv_transpose1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_grid_sample_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_hardtanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_local_response_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_max_unpool3d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_pad_reflect_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_softplus_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_upsample_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_normal_number_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_ormqr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_randint_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_reciprocal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_renorm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_reshape_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_signal_windows_general_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_signbit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_sinc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_shifted_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_sqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_std_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_triangular_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_true_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_unfold_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_var_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_where_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_zero__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvmap_NumpyTakeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_NumpyTakeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp___rmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp__upsample_bilinear2d_aa_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_addcmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_addmv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_argwhere_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_as_strided_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_bmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_bool_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_cdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_cholesky_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_clamp_max_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_column_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_cummax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_diag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_diag_embed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_div_no_rounding_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_double_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_expand_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_fft_ifft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_gt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule___rmod___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule__chunk_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule__segment_reduce_lengths_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_addcmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_addmm_decomposed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_addmv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_aminmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_as_strided_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_bmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_broadcast_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_cdouble_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_char_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_clamp_max_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_double_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_equal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_expand_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_fft_fft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_fft_fftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_fft_irfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_flip_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_float_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_floor_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_gather_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_ge_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_gt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_index_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_kron_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_linalg_det_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_linalg_eigh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_linalg_householder_product_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_linalg_matrix_rank_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_log10_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_logcumsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_logspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_lu_unpack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_masked_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_masked_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_masked_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_movedim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_mv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_conv2d_stride_groups_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_dropout3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_embedding_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_gaussian_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_hardshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_huber_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_interpolate_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_margin_ranking_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_mish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_ravel_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_repeat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_resize_as__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_signal_windows_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_special_erfcx_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_special_legendre_polynomial_p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_special_shifted_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_sub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_tensor_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_trace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_triu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_true_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_unbind_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_view_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_vstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_igammac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_index_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_isreal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_eig_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_eigvalsh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_solve_triangular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_vecdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_log2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_logical_and_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_logit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_logspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_masked_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_masked_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_masked_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_matmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_max_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nan_to_num_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_new_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_adaptive_avg_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_adaptive_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_conv2d_strided_padding_dilation_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_dropout2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_huber_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_mse_loss_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_pad_reflect_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_pairwise_distance_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_pdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_pixel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_scaled_dot_product_attention_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_soft_margin_loss_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_view_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvmap_NumpyTakeAutogradFunction_cpu_float32
2025-03-14T05:58:57.9884853Z 
2025-03-14T05:59:00.5245908Z Uploading artifacts took 2.71 seconds
2025-03-14T05:59:02.6319149Z Running functorch/test_aotdispatch 1/5 ... [2025-03-14 05:59:02.631481]
2025-03-14T05:59:02.6320065Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T05:59:02.6323610Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_aotdispatch.py', '-m', 'not serial', '--shard-id=1', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-03-14 05:59:02.631939]
2025-03-14T06:00:10.2669300Z 
2025-03-14T06:00:10.2670820Z functorch/test_ops 8/8 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ops_8.8_5f867939659f1799_.log
2025-03-14T06:00:10.3182926Z Running 1238 items in this shard: test/functorch/test_ops.py::TestOperatorsCPU::test_grad_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_T_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad___rdiv___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_arange_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_argsort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_as_strided_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_atleast_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_bernoulli_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_cholesky_inverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_column_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_deg2rad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_diag_embed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_div_floor_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_double_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_einsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_empty_permuted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_erfc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_exp2_cpu_float32, 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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_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_atleast_3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_bfloat16_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_bool_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_bucketize_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_cov_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_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fft_ifft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fft_irfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_heaviside_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_index_copy_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_isinf_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_linalg_cholesky_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_multi_dot_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_solve_triangular_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_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_logical_or_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_lu_unpack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_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_nanmean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_native_layer_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_new_empty_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_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_conv2d_stride_no_bias_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_hardshrink_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_interpolate_nearest-exact_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_multi_head_attention_forward_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_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_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_static_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_outer_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_polygamma_polygamma_n_4_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_rot90_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_scalar_tensor_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_sgn_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_kaiser_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_sinc_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_i0e_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_split_with_sizes_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_std_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_tanh_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_tril_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_jvpjvpvmap_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpjvpvmap_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpjvpvmap_SelectGenVmapAutogradFunction_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_SelectAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_SelectGenVmapAutogradFunction_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__segment_reduce_lengths_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_acosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_addr_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_atleast_3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_bfloat16_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_chalf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_chunk_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_count_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_deg2rad_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_erfinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_expand_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_gt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_index_select_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_pinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_vander_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_logical_and_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_unpack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_max_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_maximum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_mul_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_new_full_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_bilinear_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_fractional_max_pool3d_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_kl_div_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_pad_replicate_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_tanhshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_threshold_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_ormqr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_pca_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_polygamma_polygamma_n_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_pow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_quantile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_reshape_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_rsqrt_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_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_signbit_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_entr_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_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_shifted_chebyshev_polynomial_t_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_squeeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_to_sparse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_transpose_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_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjpvmap_SortGenVmapAutogradFunction_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_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmap_ZeroGradientsGenVmapAutogradFunction_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_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_contiguous_grad_op_jvp_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_movedim_grad_op_jvp_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_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_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_view_as_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_NumpyCubeNotComposableAutogradFunction_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___rsub___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp__native_batch_norm_legit_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_alias_copy_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_cdouble_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_cummin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_empty_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_erfinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_expand_as_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_ihfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_ihfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_flatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_geqrf_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_hsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_index_put_functorch_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_isnan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_isposinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_jiterator_2inputs_2outputs_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_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_log_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_lt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_select_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_minimum_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_native_batch_norm_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_conv2d_no_bias_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_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_hardshrink_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_l1_loss_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_mse_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_rrelu_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_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_outer_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_resize_as__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_signal_windows_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_sin_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_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_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_spherical_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_tensor_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_trace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_trapz_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_where_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_ZeroGradientsGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_abs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_addr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_any_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_broadcast_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_bucketize_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_cross_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_diagflat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_eq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_erfinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_eye_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_fft_fftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_fft_irfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_fliplr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_frexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_gt_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_int_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_isfinite_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_isnan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_isneginf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_jiterator_binary_return_by_ref_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_cholesky_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_rank_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_pinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_tensorinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_logical_or_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_mT_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_min_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_movedim_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_nn_functional_adaptive_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_conv2d_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_cosine_similarity_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_gelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_group_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_leaky_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_max_unpool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_max_unpool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_pad_circular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_softplus_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_ormqr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_positive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_renorm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_repeat_interleave_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_resolve_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_round_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_round_decimals_neg_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_sigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_signal_windows_blackman_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_signal_windows_kaiser_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_sparse_mm_reduce_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_log_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_polygamma_special_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_split_with_sizes_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_square_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_std_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_stft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_to_sparse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_topk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_triu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_unflatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_unsqueeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjpvmap_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjpvmap_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_SelectAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_SortGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap___getitem___functorch_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_asinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_atanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_cauchy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_column_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_diag_embed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_diagonal_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_diagonal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_div_floor_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_dstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_equal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_fft_ifft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_gradient_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_index_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_index_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_isin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_kthvalue_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_matrix_rank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_multi_dot_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_tensorinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_vander_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_vector_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_log1p_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_masked_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_softmax_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_nanquantile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_narrow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_native_dropout_backward_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_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_conv2d_stride_no_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_embedding_functorch_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_interpolate_area_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_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_pdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_prelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_softmin_with_dtype_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_outer_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_polygamma_polygamma_n_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_rad2deg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_repeat_interleave_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_select_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_sgn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_signbit_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_erfcx_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_i1_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_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_t_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_tan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_tensor_split_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_uniform_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_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmapvmap_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_NumpyMulAutogradFunction_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_SelectGenVmapAutogradFunction_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___rdiv___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad___rsub___cpu_float32, 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__softmax_backward_data_cpu_float32, 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_addcmul_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_alias_copy_cpu_float64, 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_as_strided_copy_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_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_chalf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cholesky_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_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_corrcoef_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_deg2rad_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_diag_embed_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_diff_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_dstack_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_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_copy_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_fft_fft_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_irfft_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_flatten_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_floor_divide_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_fill_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_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_linalg_inv_cpu_float64, 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_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_pinv_singular_cpu_float64, 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_svdvals_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_log2_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_logcumsumexp_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logical_not_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logsumexp_cpu_float64, 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_masked_mean_cpu_float32, 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_select_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_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_mode_cpu_float32, 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_nansum_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_nn_functional_alpha_dropout_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_binary_cross_entropy_with_logits_cpu_float32, 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_stride_with_bias_cpu_float32, 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_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_cpu_float32, 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_fractional_max_pool3d_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_l1_loss_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_mse_loss_functorch_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_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_relu6_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_triplet_margin_loss_cpu_float32, 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_nonzero_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_permute_copy_cpu_float64, 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_pow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_put_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_rand_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_reciprocal_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_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_rsqrt_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_sgn_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_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_kaiser_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signbit_cpu_float32, 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_special_bessel_j1_cpu_float32, 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_log_ndtr_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_ndtri_cpu_float64, 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_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_std_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_svd_cpu_float32, 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_tile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_to_sparse_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_trapz_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_float64, 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_view_as_complex_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_where_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall___getitem___functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall___rpow___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall__chunk_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall__unsafe_masked_index_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_addmv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_all_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_arange_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_asinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_bernoulli_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_bucketize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_cartesian_prod_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_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_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_dot_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_fft_hfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fft_ihfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_floor_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_has_batch_rule_ForwardHasDefaultArgsAutogradFunction_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_addcmul_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_char_functorch_no_channels_last_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_cumulative_trapezoid_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_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_expand_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_histc_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_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_linalg_ldl_solve_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_rank_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_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_logical_or_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_mH_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_masked_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_masked_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_min_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_msort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_narrow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_avg_pool1d_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_hardtanh_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_unpool3d_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_constant_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_relu6_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_softshrink_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_polygamma_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_pow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_quantile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_randn_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_reshape_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_signal_windows_kaiser_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_hermite_polynomial_h_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_shifted_chebyshev_polynomial_t_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_std_mean_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_tanh_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_true_divide_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_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_vstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_histogram_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_isclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_inv_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_lu_factor_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_pinv_singular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_vecdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_long_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_matmul_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_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_native_batch_norm_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_conv_transpose2d_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_hinge_embedding_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_nearest-exact_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_pairwise_distance_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_tanhshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_norm_inf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_polar_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_real_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_reshape_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_scatter_reduce_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_short_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_slice_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_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_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_log_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_xlog1py_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_svd_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_tile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_true_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_unsqueeze_copy_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_vmapjvpvjp_H_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp___rdiv___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp___rpow___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_addbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_addr_cpu_float32, 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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_flip_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_geometric_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_gt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_heaviside_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_index_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_index_put_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_index_select_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_matrix_rank_hermitian_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_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_slogdet_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_long_functorch_no_channels_last_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_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_masked_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_masked_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_mvlgamma_mvlgamma_p_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_native_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_new_empty_strided_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_bilinear_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_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_dropout_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_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_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_unpool2d_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_pixel_unshuffle_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_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nonzero_static_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_outer_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_polygamma_polygamma_n_2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_ravel_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_repeat_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_scatter_reduce_prod_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_sinc_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_w_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_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_xlog1py_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_t_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_tanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_to_sparse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_transpose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_triangular_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_unsafe_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_var_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_T_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__chunk_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_addbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_atleast_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_broadcast_to_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_constant_pad_nd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_contiguous_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_cov_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_eq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_expand_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_eye_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_irfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fft_irfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_flip_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_hsplit_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_isposinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_isreal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_jiterator_unary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_lstsq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_matrix_norm_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_log10_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_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_logsumexp_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_maximum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_mode_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_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_avg_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_conv2d_no_bias_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_hardsigmoid_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_nll_loss_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_silu_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_nonzero_static_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_permute_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_polygamma_polygamma_n_2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_prod_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_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_signal_windows_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_signal_windows_hann_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_special_airy_ai_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_erfcx_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_square_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_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_tril_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_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvmap_ZeroGradientsGenVmapAutogradFunction_cpu_float32
2025-03-14T06:00:10.3779903Z 
2025-03-14T06:00:15.0518878Z Running functorch/test_aotdispatch 3/5 ... [2025-03-14 06:00:15.051414]
2025-03-14T06:00:15.0520276Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T06:00:15.0524636Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_aotdispatch.py', '-m', 'not serial', '--shard-id=3', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-03-14 06:00:15.052116]
2025-03-14T06:00:53.0534898Z 
2025-03-14T06:00:53.0536083Z test_sparse 3/3 was successful, full logs can be found in artifacts with path test/test-reports/test_sparse_3.3_f0f6dbc832bdcb46_.log
2025-03-14T06:00:53.0911231Z Running 1004 items in this shard: test/test_sparse.py::TestSparseMeta::test_add_meta_SparseCSR_float64, test/test_sparse.py::TestSparseMeta::test_fake_SparseBSR_float64, test/test_sparse.py::TestSparseMeta::test_fake_SparseCOO_float64, test/test_sparse.py::TestSparseMeta::test_meta_SparseCSC_float64, test/test_sparse.py::TestSparseMeta::test_print_meta_SparseBSR_float64, test/test_sparse.py::TestSparseMeta::test_print_meta_SparseCSR_float64, test/test_sparse.py::TestSparseMeta::test_to_meta_SparseBSC_float64, test/test_sparse.py::TestSparseMeta::test_to_meta_SparseBSR_float64, test/test_sparse.py::TestSparseMeta::test_zeros_like_fake_SparseCSC_float64, test/test_sparse.py::TestSparseMeta::test_zeros_like_meta_SparseBSC_float64, test/test_sparse.py::TestSparseMeta::test_zeros_like_meta_SparseBSR_float64, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_inplace_abs_cpu_complex128, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_inplace_abs_cpu_int8, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_inplace_asin_cpu_float64, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_inplace_asin_cpu_int8, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_inplace_asinh_cpu_float32, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_inplace_asinh_cpu_int32, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_inplace_asinh_cpu_int64, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_inplace_atan_cpu_complex64, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_inplace_atan_cpu_float32, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_inplace_atan_cpu_float64, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_inplace_atan_cpu_int32, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_inplace_atan_cpu_int8, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_inplace_atanh_cpu_complex128, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_inplace_ceil_cpu_int16, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_inplace_conj_cpu_complex64, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_inplace_conj_cpu_float32, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_inplace_conj_cpu_int64, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_inplace_conj_cpu_uint8, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_inplace_conj_physical_cpu_complex128, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_inplace_deg2rad_cpu_float32, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_inplace_erf_cpu_int8, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_inplace_erf_cpu_uint8, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_inplace_expm1_cpu_complex64, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_inplace_expm1_cpu_int8, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_inplace_floor_cpu_int16, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_inplace_frac_cpu_float64, 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test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_out_erf_cpu_uint8, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_out_expm1_cpu_complex128, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_out_expm1_cpu_float32, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_out_expm1_cpu_int64, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_out_floor_cpu_float64, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_out_floor_cpu_int32, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_out_floor_cpu_uint8, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_out_frac_cpu_float32, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_out_isinf_cpu_complex64, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_out_isinf_cpu_int16, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_out_isinf_cpu_int64, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_out_isinf_cpu_uint8, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_out_isnan_cpu_complex64, 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test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_sparse_consistency_asinh_cpu_float32, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_sparse_consistency_atan_cpu_float64, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_sparse_consistency_atan_cpu_int64, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_sparse_consistency_atanh_cpu_complex64, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_sparse_consistency_atanh_cpu_float32, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_sparse_consistency_ceil_cpu_float64, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_sparse_consistency_ceil_cpu_int8, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_sparse_consistency_conj_cpu_int8, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_sparse_consistency_conj_cpu_uint8, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_sparse_consistency_conj_physical_cpu_complex128, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_sparse_consistency_conj_physical_cpu_int16, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_sparse_consistency_conj_physical_cpu_int64, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_sparse_consistency_deg2rad_cpu_float64, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_sparse_consistency_deg2rad_cpu_int64, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_sparse_consistency_deg2rad_cpu_int8, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_sparse_consistency_deg2rad_cpu_uint8, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_sparse_consistency_erf_cpu_int16, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_sparse_consistency_erf_cpu_int32, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_sparse_consistency_expm1_cpu_float32, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_sparse_consistency_expm1_cpu_int32, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_sparse_consistency_floor_cpu_float32, test/test_sparse.py::TestSparseUnaryUfuncsCPU::test_sparse_consistency_floor_cpu_int16, 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test/test_sparse.py::TestSparseAnyCPU::test_unsupported_backend_error_message_values_SparseCSC_cpu
2025-03-14T06:00:53.1270786Z 
2025-03-14T06:00:56.7183475Z Running torch_np/test_function_base 1/1 ... [2025-03-14 06:00:56.717926]
2025-03-14T06:00:56.7184279Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T06:00:56.7186806Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/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'] ... [2025-03-14 06:00:56.718285]
2025-03-14T06:01:00.4376891Z 
2025-03-14T06:01:00.4378225Z torch_np/test_function_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_function_base_1.1_d13faa66d2fb2ffc_.log
2025-03-14T06:01:00.4379447Z Running 1 items in this shard: test/torch_np/test_function_base.py::TestAppend::test_basic
2025-03-14T06:01:00.4379894Z 
2025-03-14T06:01:04.0929683Z Running torch_np/test_reductions 1/1 ... [2025-03-14 06:01:04.092566]
2025-03-14T06:01:04.0930308Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T06:01:04.0932073Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 06:01:04.092931]
2025-03-14T06:01:11.7787232Z 
2025-03-14T06:01:11.7789018Z 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_510f1a516388c52e_.log
2025-03-14T06:01:11.8268466Z 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, test/torch_np/test_reductions.py::TestSum::test_sum_complex_2_dt0, test/torch_np/test_reductions.py::TestSum::test_sum_complex_2_dt1, test/torch_np/test_reductions.py::TestSum::test_sum_dtypes_2, test/torch_np/test_reductions.py::TestSum::test_sum_dtypes_warnings, test/torch_np/test_reductions.py::TestSum::test_sum_initial, test/torch_np/test_reductions.py::TestSum::test_sum_stability, test/torch_np/test_reductions.py::TestSum::test_sum_where, test/torch_np/test_reductions.py::TestGenericReductions::test_array_axis_func0, test/torch_np/test_reductions.py::TestGenericReductions::test_array_axis_func1, test/torch_np/test_reductions.py::TestGenericReductions::test_array_axis_func10, test/torch_np/test_reductions.py::TestGenericReductions::test_array_axis_func11, test/torch_np/test_reductions.py::TestGenericReductions::test_array_axis_func2, test/torch_np/test_reductions.py::TestGenericReductions::test_array_axis_func3, 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test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func3_axis5, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func3_axis6, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func3_axis7, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func3_axis8, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func3_axis_-1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func3_axis_-2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func3_axis_0, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func3_axis_1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func3_axis_2, 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
2025-03-14T06:01:11.8686633Z 
2025-03-14T06:01:15.3701212Z Running torch_np/numpy_tests/core/test_scalar_ctors 1/1 ... [2025-03-14 06:01:15.369600]
2025-03-14T06:01:15.3702388Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T06:01:15.3705051Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 06:01:15.370035]
2025-03-14T06:01:19.6923997Z 
2025-03-14T06:01:19.6926016Z 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_87f82e38167d04c4_.log
2025-03-14T06:01:19.6984654Z 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
2025-03-14T06:01:19.7040899Z 
2025-03-14T06:01:23.4821082Z Running test_prims 1/1 ... [2025-03-14 06:01:23.481576]
2025-03-14T06:01:23.4822389Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T06:01:23.4827205Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 06:01:23.482119]
2025-03-14T06:01:28.8545330Z 
2025-03-14T06:01:28.8546798Z test_prims 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_prims_1.1_64ab3a61a06ba17f_.log
2025-03-14T06:01:28.8557179Z 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
2025-03-14T06:01:28.8564964Z 
2025-03-14T06:01:32.4785821Z Running torch_np/numpy_tests/lib/test_arraypad 1/1 ... [2025-03-14 06:01:32.478162]
2025-03-14T06:01:32.4786911Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T06:01:32.4789284Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_arraypad.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'] ... [2025-03-14 06:01:32.478539]
2025-03-14T06:01:36.1495942Z 
2025-03-14T06:01:36.1497450Z torch_np/numpy_tests/lib/test_arraypad 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_arraypad_1.1_45c917921c919067_.log
2025-03-14T06:01:36.1502350Z Running 9 items in this shard: test/torch_np/numpy_tests/lib/test_arraypad.py::TestConstant::test_check_constant, test/torch_np/numpy_tests/lib/test_arraypad.py::TestConstant::test_check_constant_float, test/torch_np/numpy_tests/lib/test_arraypad.py::TestConstant::test_check_constant_float2, test/torch_np/numpy_tests/lib/test_arraypad.py::TestConstant::test_check_constant_float3, test/torch_np/numpy_tests/lib/test_arraypad.py::TestConstant::test_check_constant_odd_pad_amount, test/torch_np/numpy_tests/lib/test_arraypad.py::TestConstant::test_check_constant_pad_2d, test/torch_np/numpy_tests/lib/test_arraypad.py::TestConstant::test_check_constant_zeros, test/torch_np/numpy_tests/lib/test_arraypad.py::TestConstant::test_check_large_integers, test/torch_np/numpy_tests/lib/test_arraypad.py::TestConstant::test_pad_empty_dimension
2025-03-14T06:01:36.1505934Z 
2025-03-14T06:01:39.5980290Z Running dynamo/test_comptime 1/1 ... [2025-03-14 06:01:39.597640]
2025-03-14T06:01:39.5981229Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T06:01:39.5983153Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 06:01:39.598048]
2025-03-14T06:01:42.9427355Z 
2025-03-14T06:01:42.9428600Z dynamo/test_comptime 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_comptime_1.1_81b14baad267368a_.log
2025-03-14T06:01:42.9429581Z 
2025-03-14T06:01:46.4240689Z Running torch_np/test_scalars_0D_arrays 1/1 ... [2025-03-14 06:01:46.423579]
2025-03-14T06:01:46.4241612Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T06:01:46.4243460Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/test_scalars_0D_arrays.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'] ... [2025-03-14 06:01:46.423939]
2025-03-14T06:01:50.1934605Z 
2025-03-14T06:01:50.1936045Z torch_np/test_scalars_0D_arrays 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_scalars_0D_arrays_1.1_2d5bca7ee31ef415_.log
2025-03-14T06:01:50.1948868Z Running 33 items in this shard: test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_array_scalar_basic_array, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_array_scalar_basic_asarray, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_array_scalar_basic_asarray_int, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_array_scalar_basic_int64, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_conversion_to_int_array, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_conversion_to_int_asarray, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_conversion_to_int_asarray_int, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_conversion_to_int_int64, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_decay_to_py_scalar_array, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_decay_to_py_scalar_asarray, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_decay_to_py_scalar_asarray_int, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_decay_to_py_scalar_int64, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_scalar_comparisons, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value0, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value1, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value10, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value11, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value4, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value5, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value6, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value7, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value8, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value9, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value_s, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value_string, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_scalar_array_0D, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_scalar_array_1D, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_scalar_array_2D, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_scalar_float32, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_scalar_int, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_scalar_list, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_scalar_list-list, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_scalar_literal
2025-03-14T06:01:50.1960832Z 
2025-03-14T06:01:54.6307259Z Running lazy/test_bindings 1/1 ... [2025-03-14 06:01:54.630238]
2025-03-14T06:01:54.6308045Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T06:01:54.6310042Z Executing ['/opt/conda/envs/py_3.13/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'] ... [2025-03-14 06:01:54.630677]
2025-03-14T06:01:56.1579655Z 
2025-03-14T06:01:56.1581102Z lazy/test_bindings 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_bindings_1.1_885adc58e81c12e9_.log
2025-03-14T06:01:56.1582399Z 
2025-03-14T06:01:59.7876036Z Running test_quantization 1/4 ... [2025-03-14 06:01:59.787197]
2025-03-14T06:01:59.7876837Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T06:01:59.7879105Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_quantization.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'] ... [2025-03-14 06:01:59.787596]
2025-03-14T06:05:53.0489950Z 
2025-03-14T06:05:53.0491581Z functorch/test_aotdispatch 3/5 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aotdispatch_3.5_e5030916d8821f37_.log
2025-03-14T06:05:53.0902391Z Running 427 items in this shard: test/functorch/test_aotdispatch.py::TestAOTAutograd::test_alias_of_intermediate_detach_backend_inductor_view_replay_for_aliased_outputs_True_dynamic_shapes_False, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_alias_of_intermediate_detach_backend_inductor_view_replay_for_aliased_outputs_True_dynamic_shapes_True, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_backward_mutation_metadata, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_batch_norm_amp, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_batchnorm, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_dupe_arg, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_dupe_arg_returned_as_output, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_dupe_arg_torture, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_inner_grad, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_aliased_with_mutation_output_alias, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_data_and_metadata_mutation, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_aliases_and_output_alias, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_false_aliasing, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_metadata, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_multiple, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_requires_grad_no_grad_detach_mixed, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_output_aliase_custom_autograd_function, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_aliases_input_multi_output_view, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_aliases_input_view_meta_replay, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_aliases_intermediate_inplace_view, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_aliases_intermediate_inplace_view_and_view, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_aliases_intermediate_inplace_view_with_detach, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_aliases_intermediate_multiple, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_aliases_intermediate_mutation_linear, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_aliases_intermediate_single, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_aliases_multiple_inputs_get_correct_one, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_dict, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_set__and_data_mutation_bad, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_some_output_requires_grad_input_doesnt, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_view_and_inplace_view, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_forward_mutation_multiple_mut, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_input_dupes_banned, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_input_mutation_on_parameter_banned, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_predispatch_composite_implicit_inplace, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_simplified_pytrees_banned, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_unbacked_arg, test/functorch/test_aotdispatch.py::TestPartitioning::test_generate_gives_inference_graph, test/functorch/test_aotdispatch.py::TestPartitioning::test_min_cut_partitioner_save_shape, test/functorch/test_aotdispatch.py::TestPartitioning::test_recompute_partitioning, test/functorch/test_aotdispatch.py::TestAOTDispatch::test_aot_dispatch_input_metadata_mutation, test/functorch/test_aotdispatch.py::TestAOTDispatch::test_aot_dispatch_input_mutation_and_output_alias, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_aot_test_subclasses_with_tensor_factories, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_grads_no_force_contiguous_nested_subclass, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_inference_python_dispatcher, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_tangent_type_coercion, test/functorch/test_aotdispatch.py::TestPythonKeyCPU::test_make_fx_vmap_cpu, test/functorch/test_aotdispatch.py::TestPythonKeyCPU::test_resnet18_backward_trace_cpu, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive___rmatmul___cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive___rmul___cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive__native_batch_norm_legit_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive__softmax_backward_data_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_add_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_addcmul_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_addmm_decomposed_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_amin_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_argmax_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_argmin_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_asin_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_atanh_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_bernoulli_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_bool_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_broadcast_tensors_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_byte_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_chalf_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_cholesky_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_cholesky_inverse_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_chunk_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_clamp_max_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_combinations_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_contiguous_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_corrcoef_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_cosh_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_diagonal_copy_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_div_floor_rounding_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_dstack_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_eq_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_erfc_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_expand_as_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_fft_fft2_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_fft_rfft_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_flex_attention_backward_simple_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_fmin_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_gradient_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_heaviside_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_hsplit_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_hstack_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_igammac_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_index_reduce_amax_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_index_reduce_prod_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_index_select_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_invoke_subgraph_simple_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_isposinf_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_jiterator_2inputs_2outputs_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_jiterator_binary_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_kthvalue_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_linalg_cholesky_ex_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_linalg_diagonal_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_linalg_eig_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_linalg_householder_product_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_linalg_ldl_factor_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_linalg_ldl_factor_ex_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_linalg_multi_dot_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_linalg_norm_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_linalg_slogdet_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_linalg_vander_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_log_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_log_normal_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_logaddexp2_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_logical_and_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_logical_not_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_logical_or_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_logit_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_mT_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_map_simple_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_masked_amax_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_masked_amin_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_masked_argmin_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_masked_logaddexp_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_masked_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_meshgrid_list_of_tensors_cpu_float32, 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test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_polygamma_special_polygamma_n_0_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_shifted_chebyshev_polynomial_u_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_shifted_chebyshev_polynomial_v_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_spherical_bessel_j0_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_xlog1py_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_split_list_args_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_squeeze_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_std_mean_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_stft_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_t_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_take_along_dim_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_tanh_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_torch_ops_aten__safe_softmax_default_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_triangular_solve_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_unbind_copy_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_unsafe_split_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_var_mean_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_view_as_complex_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_view_as_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_view_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_AdaptiveMaxPool2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_GRUCell_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_Hardshrink_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_Hardswish_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_Hardtanh_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_InstanceNorm1d_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_InstanceNorm3d_eval_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_LPPool3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_LSTMCell_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_MarginRankingLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_MultiLabelMarginLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_MultiLabelSoftMarginLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_PoissonNLLLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_ReflectionPad1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_SoftMarginLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_Softplus_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_Tanhshrink_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_TransformerEncoder_eval_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_TransformerEncoder_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_BCELoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_BatchNorm2d_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_CircularPad2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_ConstantPad2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Conv1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Conv2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_ELU_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_FractionalMaxPool2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_GRU_eval_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_GroupNorm_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_HuberLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_InstanceNorm1d_eval_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_InstanceNorm3d_eval_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_InstanceNorm3d_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LSTM_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LayerNorm_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LazyConv1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LazyConv2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LazyConvTranspose2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LazyConvTranspose3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Linear_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LogSigmoid_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_MaxPool1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_RNN_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_ReflectionPad2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_ReflectionPad3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_ReplicationPad2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_TransformerDecoderLayer_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_ZeroPad2d_cpu_float32, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_alias_of_intermediate_detach_backend_aot_eager_view_replay_for_aliased_outputs_True_dynamic_shapes_False, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_alias_of_intermediate_detach_backend_inductor_view_replay_for_aliased_outputs_True_dynamic_shapes_True, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_backward_mutation_on_grad_out, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_batchnorm_inference, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_buffer_copied_in_graph, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_buffer_copied_in_graph_with_different_shapes, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_aliased_with_mutation_output_alias, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_aliases_bases_out_of_order, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_and_output_view, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_mem_leak_from_save_for_bw, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_module, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_nested_subclasses, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_output_aliases_intermediate_multiple, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_output_aliases_intermediate_returned_multiple_times, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_output_aliases_intermediate_view_meta_replay, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_output_dict, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_output_op_depending_on_symint, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_set__not_allowed, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_subclass_metadata_mutation_req_grad_False, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_subclass_metadata_mutation_req_grad_True, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_alias_of_intermediate_detach_backend_aot_eager_view_replay_for_aliased_outputs_False_dynamic_shapes_False, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_alias_of_intermediate_detach_backend_inductor_view_replay_for_aliased_outputs_True_dynamic_shapes_True, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_buffer_copied_in_graph, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_buffer_copied_in_graph_with_different_shapes, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_custom_tensor_metadata, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_dupe_arg_returned_as_output, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_inference_mode, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_inner_grad, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_aliases_other_input2, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_and_output_view, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_false_aliasing, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_modifies_autograd_meta_of_aliases, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_simple, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_output_aliase_custom_autograd_function, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_output_view_metadata_mutate_multiple, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_output_view_mutate_multiple, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_invalid_dupe, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_mem_leak_from_save_for_bw, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_mutates_input_noncontiguous, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_nested_subclasses_non_nested_grad, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_intermediate_returned_multiple_times, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_multiple_inputs_get_correct_one, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_output_view_meta_replay, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_real_weights_in_symbolic_mode_with_inplace_ops, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_some_outputs_dont_require_grad_non_view, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_some_outputs_dont_require_grad_view, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_squeeze_mutation
2025-03-14T06:05:53.1131487Z 
2025-03-14T06:05:56.5912603Z Running test_quantization 2/4 ... [2025-03-14 06:05:56.590847]
2025-03-14T06:05:56.5913414Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T06:05:56.5915641Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_quantization.py', '-m', 'not serial', '--shard-id=2', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-03-14 06:05:56.591228]
2025-03-14T06:11:00.3368175Z 
2025-03-14T06:11:00.3369688Z functorch/test_aotdispatch 1/5 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aotdispatch_1.5_3cf1fd90afd86889_.log
2025-03-14T06:11:00.3901455Z Running 407 items in this shard: test/functorch/test_aotdispatch.py::TestAOTAutograd::test_alias_of_intermediate_detach_backend_inductor_view_replay_for_aliased_outputs_False_dynamic_shapes_True, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_backward_mutation_forward_inputs, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_backward_mutation_forward_inputs_create_graph, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_complex_linear, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_custom_tensor_metadata, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_embedding_bag_view_dynamic, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_data_and_metadata_mutation_aliases_other_input, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_aliases_other_input, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_batchnorm, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_output_view_multiple, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_return, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_storage_resize_down_and_set_, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_storage_resize_up, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_invalid_dupe, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_nonidempotent_amp, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_aliases_intermediate_and_returned_different_grad, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_all_alias_types, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_op_depending_on_symint, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_subclass_metadata_mutation_req_grad_True, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_predispatch_map_1, 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test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_vsplit_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_AdaptiveMaxPool3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_CircularPad3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_Conv3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_ConvTranspose1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_ConvTranspose3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_CosineEmbeddingLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_ELU_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_GLU_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_InstanceNorm1d_eval_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_InstanceNorm2d_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_LayerNorm_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_LazyConv1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_LazyConv3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_LazyConvTranspose2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_LogSigmoid_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_MaxPool3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_Mish_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_MultiheadAttention_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_RNNCell_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_RNN_eval_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_RNN_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_ReLU6_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_ReLU_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_ReflectionPad2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_SELU_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_Softshrink_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_Tanh_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_TransformerEncoderLayer_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_Transformer_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_ZeroPad2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_AdaptiveAvgPool3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_AvgPool2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_BatchNorm3d_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Bilinear_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_CircularPad1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_ConvTranspose2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Embedding_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_GLU_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_GRUCell_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_GaussianNLLLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Hardswish_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LPPool1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LPPool3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LocalResponseNorm_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_MultiheadAttention_eval_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_MultiheadAttention_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_NLLLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_PoissonNLLLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_RMSNorm_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_RNN_eval_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_ReLU6_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Softsign_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Tanhshrink_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_TransformerEncoder_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_autocast_disable_guard, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_backward_mutation_forward_inputs_create_graph, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_batchnorm, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_buffer_batch_norm, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_custom_autograd, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_dupe_arg_torture, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_grad_context, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_inner_grad, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_aliases_other_input2, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_batchnorm, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_false_aliasing, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_hidden_from_autograd_aliasing, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_is_output, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_metadata2, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_simple, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_inputs_overlapping_with_mutation_guard_base, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_invalid_requires_grad_fake, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_nested_subclasses_complicated_inps, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_nonidempotent_amp, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_output_aliases_intermediate_no_grad, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_output_aliases_multiple_inputs_get_correct_one, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_outputs_are_aliased, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_real_weights_in_symbolic_mode_with_inplace_ops, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_single_output, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_synthetic_base_base_attribute_is_none, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_view_detach, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_alias_of_intermediate_detach_backend_aot_eager_view_replay_for_aliased_outputs_True_dynamic_shapes_True, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_alias_of_intermediate_detach_backend_inductor_view_replay_for_aliased_outputs_False_dynamic_shapes_True, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_backward_mutation_data, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_backward_mutation_metadata, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_buffer_batch_norm, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_dupe_arg_torture, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_data_and_metadata_mutation_aliases_other_input, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_inplace_requires_grad_true, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_aliases_other_input, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_batchnorm, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_metadata, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_multiple, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_output_view_multiple, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_set__input_mutation, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_storage_resize_down, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_storage_resize_up, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_inputs_overlapping_with_mutation_guard_base, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_invalid_requires_grad_fake, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_list_codegen, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_module, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_no_grad_input_output, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_input_multi_output_view_should_raise_autograd_error, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_intermediate_and_returned_different_grad, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_intermediate_and_returned_flipped, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_intermediate_inplace_view_with_detach, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_intermediate_multiple, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_intermediate_multiple_mixed, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_intermediate_mutation_linear, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_dict, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_outputs_are_aliased, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_set__and_data_mutation_bad, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_set__and_data_mutation_good, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_set__steals_view_chain, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_some_output_requires_grad_input_doesnt, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_subclass_metadata_mutation_req_grad_False, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_view_detach
2025-03-14T06:11:00.4318203Z 
2025-03-14T06:11:05.0064138Z Running test_quantization 4/4 ... [2025-03-14 06:11:05.005885]
2025-03-14T06:11:05.0065023Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T06:11:05.0068776Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_quantization.py', '-m', 'not serial', '--shard-id=4', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-03-14 06:11:05.006330]
2025-03-14T06:11:41.7252895Z 
2025-03-14T06:11:41.7254896Z test_quantization 1/4 was successful, full logs can be found in artifacts with path test/test-reports/test_quantization_1.4_ecc63c04d9e38edc_.log
2025-03-14T06:11:41.7495802Z Running 319 items in this shard: test/test_quantization.py::TestQuantizedOps::test_group_norm, test/test_quantization.py::TestQuantizedOps::test_leaky_relu_observed_output, test/test_quantization.py::TestQuantizedOps::test_max_pool2d_pt2e, test/test_quantization.py::TestQuantizedOps::test_max_pool3d_nhwc, test/test_quantization.py::TestQuantizedOps::test_mul_scalar_relu, test/test_quantization.py::TestQuantizedOps::test_qadd_relu_same_qparams, test/test_quantization.py::TestQuantizedOps::test_qlayer_norm, test/test_quantization.py::TestQuantizedOps::test_qmul_relu_same_qparams, test/test_quantization.py::TestQuantizedOps::test_quantized_equal, test/test_quantization.py::TestQuantizedOps::test_quantized_mean_qnnpack, test/test_quantization.py::TestQuantizedOps::test_sigmoid, test/test_quantization.py::TestQNNPackOps::test_adaptive_avg_pool2d, test/test_quantization.py::TestQNNPackOps::test_qnnpack_add_broadcast, test/test_quantization.py::TestQNNPackOps::test_qnnpack_sigmoid, test/test_quantization.py::TestQuantizedLinear::test_qlinear_add_relu_pt2e, test/test_quantization.py::TestQuantizedLinear::test_qlinear_leaky_relu, test/test_quantization.py::TestQuantizedLinear::test_qlinear_pt2e, test/test_quantization.py::TestQuantizedLinear::test_qlinear_relu, test/test_quantization.py::TestQuantizedLinear::test_qlinear_with_input_q_dq_qweight_dq_output_fp32, test/test_quantization.py::TestQuantizedLinear::test_wrapped_quantized_linear, test/test_quantization.py::TestQuantizedConv::test_conv_reorder_issue_onednn, test/test_quantization.py::TestQuantizedConv::test_qconv2d, test/test_quantization.py::TestQuantizedConv::test_qconv2d_cudnn, test/test_quantization.py::TestQuantizedConv::test_qconv2d_hardswish_pt2e, test/test_quantization.py::TestQuantizedConv::test_qconv2d_pt2e, test/test_quantization.py::TestQuantizedConv::test_qconv3d_unpack, test/test_quantization.py::TestQuantizedConv::test_qconv_transpose2d, test/test_quantization.py::TestDynamicQuantizedOps::test_dynamic_conv1d, test/test_quantization.py::TestDynamicQuantizedOps::test_dynamic_conv2d, test/test_quantization.py::TestDynamicQuantizedOps::test_linear_dynamic_fp16_onednn, test/test_quantization.py::TestDynamicQuantizedOps::test_linear_prepack_fp16_numerics, test/test_quantization.py::TestDynamicQuantizedOps::test_qlinear_legacy, test/test_quantization.py::TestComparatorOps::test_compare_tensor_tensor, test/test_quantization.py::TestPadding::test_constant_padNd, test/test_quantization.py::TestQuantizedEmbeddingOps::test_embedding, test/test_quantization.py::TestQuantizedEmbeddingOps::test_embedding_bag_2d_indices, test/test_quantization.py::TestQuantizedEmbeddingOps::test_embedding_bag_4bit, test/test_quantization.py::TestFakeQuantizeOps::test_backward_per_channel, test/test_quantization.py::TestFakeQuantizeOps::test_backward_per_channel_cachemask_cpu, test/test_quantization.py::TestFakeQuantizeOps::test_backward_per_channel_cachemask_cuda, test/test_quantization.py::TestFakeQuantizeOps::test_fake_quant_per_channel_qparam_range, test/test_quantization.py::TestFakeQuantizeOps::test_forward_per_channel_half_precision_numerics, test/test_quantization.py::TestFakeQuantizeOps::test_fq_module_per_tensor, test/test_quantization.py::TestFakeQuantizeOps::test_learnable_backward_per_tensor_cpu, test/test_quantization.py::TestFakeQuantizeOps::test_learnable_forward_per_tensor_cuda, test/test_quantization.py::TestFusedObsFakeQuant::test_fused_obs_fake_quant_moving_avg_per_channel, test/test_quantization.py::TestQuantizedTensor::test_decomposed_quantize_per_channel, test/test_quantization.py::TestQuantizedTensor::test_dequantize_fp16_cuda, test/test_quantization.py::TestQuantizedTensor::test_per_channel_qtensor_creation_cuda, test/test_quantization.py::TestQuantizedTensor::test_per_tensor_to_device, 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_fill_per_channel, test/test_quantization.py::TestQuantizedTensor::test_qtensor_fill_per_tensor, test/test_quantization.py::TestQuantizedTensor::test_qtensor_float_assignment, 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_load_save, test/test_quantization.py::TestQuantizedTensor::test_qtensor_masked_fill_cuda, 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_sub_byte_not_aligned_cols, test/test_quantization.py::TestQuantizedTensor::test_qtensor_view, test/test_quantization.py::TestQuantizedTensor::test_quant_pin_memory, test/test_quantization.py::TestQuantizedTensor::test_repeat, test/test_quantization.py::TestObserver::test_histogram_observer_consistent_buffer_shape, test/test_quantization.py::TestObserver::test_zero_numel, 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_instance_norm, test/test_quantization.py::TestStaticQuantizedModule::test_layer_norm, test/test_quantization.py::TestStaticQuantizedModule::test_leaky_relu, test/test_quantization.py::TestStaticQuantizedModule::test_pool_api, test/test_quantization.py::TestStaticQuantizedModule::test_prelu, test/test_quantization.py::TestDynamicQuantizedModule::test_dynamic_conv2d, test/test_quantization.py::TestReferenceQuantizedModule::test_rnn, test/test_quantization.py::TestHistogramObserver::test_histogram_observer_one_sided, test/test_quantization.py::TestHistogramObserver::test_histogram_observer_update_within_range_succeeds, test/test_quantization.py::TestDistributed::test_device_affinity, test/test_quantization.py::TestDistributed::test_fake_quant_preserves_buffers, test/test_quantization.py::TestFusedObsFakeQuantModule::test_embedding_qat_config, test/test_quantization.py::TestFusedObsFakeQuantModule::test_fused_mod_reduce_range, test/test_quantization.py::TestFusedObsFakeQuantModule::test_fused_obs_fq_moving_avg_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_observation_type, test/test_quantization.py::TestBackendConfig::test_backend_op_config_set_qat_module, test/test_quantization.py::TestBackendConfig::test_dtype_config_to_dict, test/test_quantization.py::TestUtils::test_get_fqn_to_example_inputs_simple, 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_ptsq, 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_quantized_embedding_bag, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_quantwrapper_attaches_qconfig_to_dequant, 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_forward_hooks_preserved, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_per_channel_linear_quantize, test/test_quantization.py::TestQuantizeEagerOps::test_conv_transpose_2d, test/test_quantization.py::TestQuantizeEagerQAT::test_defused_embedding_bag_linear, test/test_quantization.py::TestQuantizeEagerQAT::test_embedding_bag_linear, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_linear_bn_numerics, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_linear_bn_symm_numerics, test/test_quantization.py::TestFuseEager::test_fuse_module_eval, 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::TestNumericSuiteEager::test_compare_model_outputs_linear_dynamic, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_outputs_lstm_dynamic, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_stub_linear_dynamic, test/test_quantization.py::TestNumericSuiteEager::test_mobilenet_v3, 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::TestBiasCorrectionEager::test_conv_chain, test/test_quantization.py::TestFuseFx::test_fuse_conv_bn_relu, test/test_quantization.py::TestQuantizeFx::test_conv_linear_reference, test/test_quantization.py::TestQuantizeFx::test_conv_transpose_not_reference, test/test_quantization.py::TestQuantizeFx::test_conv_transpose_reference, test/test_quantization.py::TestQuantizeFx::test_convert_custom_config_set_observed_to_quantized_mapping, test/test_quantization.py::TestQuantizeFx::test_deepcopy_preserve_attributes, test/test_quantization.py::TestQuantizeFx::test_default_qconfig_mapping_override_global, test/test_quantization.py::TestQuantizeFx::test_dynamic_quant_fp16, test/test_quantization.py::TestQuantizeFx::test_fuse_custom_config_set_preserved_attributes, test/test_quantization.py::TestQuantizeFx::test_get_executorch_backend_config, test/test_quantization.py::TestQuantizeFx::test_linear_tanh_lowering, test/test_quantization.py::TestQuantizeFx::test_mul_add_fp16_config, test/test_quantization.py::TestQuantizeFx::test_no_obs_between_unmatched_node_and_copy_node, test/test_quantization.py::TestQuantizeFx::test_non_traceable_module, 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_prepared_model_deepcopy, test/test_quantization.py::TestQuantizeFx::test_preserve_attributes, test/test_quantization.py::TestQuantizeFx::test_propagate_dtypes_for_known_nodes_dict_split_tuple_args, test/test_quantization.py::TestQuantizeFx::test_qat_and_script, test/test_quantization.py::TestQuantizeFx::test_qat_skip_untraced, test/test_quantization.py::TestQuantizeFx::test_qconfig_dict_with_fused_modules, test/test_quantization.py::TestQuantizeFx::test_qconfig_for_call_func, test/test_quantization.py::TestQuantizeFx::test_qconfig_mapping_repr, test/test_quantization.py::TestQuantizeFx::test_qconfig_mapping_to_dict, test/test_quantization.py::TestQuantizeFx::test_qparams_fqn, test/test_quantization.py::TestQuantizeFx::test_quantized_input_fp32_output, test/test_quantization.py::TestQuantizeFx::test_relu_lowering, test/test_quantization.py::TestQuantizeFx::test_reshape_nontensor_args_not_observed, test/test_quantization.py::TestQuantizeFx::test_sequential, test/test_quantization.py::TestQuantizeFx::test_static_lstm, test/test_quantization.py::TestQuantizeFx::test_static_lstm_with_custom_fixed_qparams, test/test_quantization.py::TestQuantizeFxOps::test_add, test/test_quantization.py::TestQuantizeFxOps::test_fixed_qparams_ops_wrong_qconfig, test/test_quantization.py::TestQuantizeFxOps::test_gelu_reference, test/test_quantization.py::TestQuantizeFxOps::test_general_shape_ops, test/test_quantization.py::TestQuantizeFxOps::test_general_value_ops, test/test_quantization.py::TestQuantizeFxOps::test_linear_module, test/test_quantization.py::TestQuantizeFxOps::test_linear_static_fp16, test/test_quantization.py::TestQuantizeFxOps::test_mul, test/test_quantization.py::TestQuantizeFxOps::test_mul_relu, test/test_quantization.py::TestQuantizeFxOps::test_narrow, test/test_quantization.py::TestQuantizeFxOps::test_pixel_unshuffle, test/test_quantization.py::TestQuantizeFxOps::test_prelu, test/test_quantization.py::TestQuantizeFxOps::test_ref_pattern_multi_use, test/test_quantization.py::TestQuantizeFxOps::test_reshape_fp16, test/test_quantization.py::TestQuantizeFxOps::test_softmax_normal, test/test_quantization.py::TestQuantizeFxModels::test_prepare_serialize_switch_device_convert, test/test_quantization.py::TestQuantizeFxModels::test_qat_embeddingbag_linear, test/test_quantization.py::TestQuantizeFxModels::test_static_gpu_convert_basic, test/test_quantization.py::TestQuantizeFxModels::test_torchvision, test/test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_annotations_int, test/test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_replaces_referenced_submodules, test/test_quantization.py::TestGraphUtils::test_customized_equivalet_types_dict, test/test_quantization.py::TestDuplicateDQPass::test_no_need_for_duplicate_dq, test/test_quantization.py::TestMetaDataPorting::test_metadata_porting_for_dq, test/test_quantization.py::TestMetaDataPorting::test_metadata_porting_for_two_dq, test/test_quantization.py::TestNumericDebugger::test_added_node_gets_unique_id, 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_quantize_pt2e_preserve_handle, test/test_quantization.py::TestNumericDebugger::test_re_export_preserve_handle, 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_transform_for_annotation, test/test_quantization.py::TestQuantizePT2E::test_fold_all_ops_before_quantize, test/test_quantization.py::TestQuantizePT2E::test_move_exported_model_dropout_inplace, test/test_quantization.py::TestQuantizePT2E::test_quantization_dtype_float32_int16, test/test_quantization.py::TestQuantizePT2E::test_save_load, test/test_quantization.py::TestQuantizePT2E::test_shared_qspec_transitivity_case_2, test/test_quantization.py::TestQuantizePT2E::test_speed, test/test_quantization.py::TestPT2ERepresentation::test_qdq, 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_conv2d, test/test_quantization.py::TestXNNPACKQuantizer::test_conv_linear, test/test_quantization.py::TestXNNPACKQuantizer::test_propagate_annotation, test/test_quantization.py::TestXNNPACKQuantizer::test_set_module_name, test/test_quantization.py::TestXNNPACKQuantizer::test_set_module_type_case_2, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_avg_pool2d_recipe, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_conv2d, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_conv2d_binary_unary, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary_dynamic, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary_qat, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary_unary_dynamic, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_dynamic_fp16, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_unary_qat, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_qat_conv2d, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_qat_conv2d_binary2, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_qat_conv2d_binary_unary, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_fold_bn_erases_bn_node, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_relu_fusion_cuda, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_transpose_bn_relu, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_fold_bn_erases_bn_node, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_fusion_cuda, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_fusion_no_conv_bias, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_relu_fusion, 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::TestFXNumericSuiteCoreAPIs::test_add_shadow_loggers_mod_qat, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_conv_fun_ptq, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_dynamic, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_linear_fun_ptq, 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_int8_fun, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_linear_fp16_vs_linear_fp16_shadow_activations, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_linear_kwargs_shadow, 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_op_io_dtype_coverage, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_op_with_either_fp32_or_int8_input, 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_user_module, test/test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_conv_bn_relu_fusion_quant, test/test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_linear_mod_fp32_quant, test/test_quantization.py::TestFXNumericSuiteNShadows::test_custom_functions_and_tracer, 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_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_repr, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_shadow_activations_linear, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_resnet18, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_sparsenn_compare_activations, 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_qat_aware_model_example, test/test_quantization.py::TestFxModelReportClass::test_generate_visualizer, test/test_quantization.py::TestFxDetectOutliers::test_multiple_run_consistent_spike_outlier_report_gen, test/test_quantization.py::TestFxDetectOutliers::test_outlier_detection_determine_points, 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_selective_equalization, test/test_quantization.py::TestSerialization::test_conv2d, test/test_quantization.py::TestSerialization::test_conv2d_nobias, test/test_quantization.py::TestSerialization::test_conv3d, test/test_quantization.py::TestSerialization::test_linear_dynamic, test/test_quantization.py::TestSerialization::test_linear_relu_package_quantization_transforms, 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_single_linear_dynamic, test/test_quantization.py::TestQuantizeJitPasses::test_convtranspose_trace, test/test_quantization.py::TestQuantizeJitPasses::test_foldbn_complex_cases, test/test_quantization.py::TestQuantizeJitPasses::test_foldbn_in_submodule, test/test_quantization.py::TestQuantizeJitPasses::test_fuse_linear, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_for_general_ops, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_interface, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_weight_dtype, test/test_quantization.py::TestQuantizeJitPasses::test_swap_functional_linear, test/test_quantization.py::TestQuantizeJitOps::test_cat_linear, test/test_quantization.py::TestQuantizeJitOps::test_general_shape_ops, test/test_quantization.py::TestQuantizeJitOps::test_general_value_ops, test/test_quantization.py::TestQuantizeJitOps::test_qbatch_norm_relu_BNRelu, test/test_quantization.py::TestQuantizeJitOps::test_quantized_add_alpha, test/test_quantization.py::TestQuantizeJitOps::test_quantized_add_scalar, test/test_quantization.py::TestQuantizeJitOps::test_quantized_conv, test/test_quantization.py::TestQuantizeJitOps::test_quantized_mul_scalar, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_convert_dynamic_fp16, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_dynamic_shared_weights, test/test_quantization.py::TestQuantizeDynamicJitOps::test_linear, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_fuse_modules, 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_utils, test/test_quantization.py::TestAOMigrationNNQuantized::test_import_nn_quantizable_activation, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_conv, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_embedding_ops, 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_intrinsic_qat_linear_fused, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_no_import_nn_intrinsic_quantized_dynamic, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_equalize, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_utils, 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_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_soak_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_soak_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_cat_cpu_float8_e8m0fnu, 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_empty_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPU::test_finfo_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPU::test_to_string_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_type_promotion_fails_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPUOnlyCPU::test_mul_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPUOnlyCPU::test_mul_cpu_float8_e8m0fnu
2025-03-14T06:11:41.7718572Z 
2025-03-14T06:11:46.7090461Z Running export/test_export_strict 1/1 ... [2025-03-14 06:11:46.708042]
2025-03-14T06:11:46.7091405Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T06:11:46.7093069Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_export_strict.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'] ... [2025-03-14 06:11:46.708368]
2025-03-14T06:11:57.0826262Z 
2025-03-14T06:11:57.0828088Z export/test_export_strict 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_export_strict_1.1_2fa8b188fe68b28a_.log
2025-03-14T06:11:57.0839486Z 
2025-03-14T06:12:01.5715971Z Running inductor/test_online_softmax 1/1 ... [2025-03-14 06:12:01.570880]
2025-03-14T06:12:01.5716928Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T06:12:01.5723753Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_online_softmax.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'] ... [2025-03-14 06:12:01.571221]
2025-03-14T06:12:10.2711473Z 
2025-03-14T06:12:10.2713015Z inductor/test_online_softmax 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_online_softmax_1.1_aa1d75434fdc4b4e_.log
2025-03-14T06:12:10.2714414Z 
2025-03-14T06:13:52.1782251Z 
2025-03-14T06:13:52.1787112Z test_quantization 2/4 was successful, full logs can be found in artifacts with path test/test-reports/test_quantization_2.4_7c72b9dba5037ee9_.log
2025-03-14T06:13:52.1893666Z Running 307 items in this shard: test/test_quantization.py::TestQuantizedOps::test_advanced_indexing, test/test_quantization.py::TestQuantizedOps::test_avg_pool2d, test/test_quantization.py::TestQuantizedOps::test_avg_pool3d_nhwc, test/test_quantization.py::TestQuantizedOps::test_batch_norm, test/test_quantization.py::TestQuantizedOps::test_cat, test/test_quantization.py::TestQuantizedOps::test_empty_batch, test/test_quantization.py::TestQuantizedOps::test_hardtanh, test/test_quantization.py::TestQuantizedOps::test_interpolate3d, test/test_quantization.py::TestQuantizedOps::test_leaky_relu, test/test_quantization.py::TestQuantizedOps::test_max_pool2d_nhwc, test/test_quantization.py::TestQuantizedOps::test_qadd_relu_cudnn, test/test_quantization.py::TestQuantizedOps::test_qadd_relu_cudnn_nhwc, test/test_quantization.py::TestQuantizedOps::test_qcelu, test/test_quantization.py::TestQuantizedOps::test_qelu, test/test_quantization.py::TestQuantizedOps::test_qgelu, test/test_quantization.py::TestQuantizedOps::test_qmul_broadcast, test/test_quantization.py::TestQuantizedOps::test_qrelu6, test/test_quantization.py::TestQuantizedOps::test_qtanh, test/test_quantization.py::TestQuantizedOps::test_std, test/test_quantization.py::TestQNNPackOps::test_mean, test/test_quantization.py::TestQNNPackOps::test_qnnpack_add, test/test_quantization.py::TestQNNPackOps::test_qnnpack_mul, test/test_quantization.py::TestQNNPackOps::test_qnnpack_relu, test/test_quantization.py::TestQNNPackOps::test_qnnpack_tanh, test/test_quantization.py::TestQuantizedLinear::test_qlinear_add_pt2e, test/test_quantization.py::TestQuantizedLinear::test_qlinear_qnnpack_free_memory_and_unpack, test/test_quantization.py::TestQuantizedConv::test_qconv1d, test/test_quantization.py::TestQuantizedConv::test_qconv1d_pt2e, test/test_quantization.py::TestQuantizedConv::test_qconv1d_relu_cudnn, test/test_quantization.py::TestQuantizedConv::test_qconv1d_unpack, test/test_quantization.py::TestQuantizedConv::test_qconv2d_hardtanh_pt2e, test/test_quantization.py::TestQuantizedConv::test_qconv2d_relu_pt2e, test/test_quantization.py::TestQuantizedConv::test_qconv2d_silu_pt2e, test/test_quantization.py::TestQuantizedConv::test_qconv3d, test/test_quantization.py::TestDynamicQuantizedOps::test_dynamic_convtranspose3d, test/test_quantization.py::TestDynamicQuantizedOps::test_qlinear, test/test_quantization.py::TestDynamicQuantizedOps::test_wrapped_fbgemm_linear_fp16, test/test_quantization.py::TestDynamicQuantizedOps::test_wrapped_fbgemm_pack_gemm_matrix_fp16_pt2_compliant, test/test_quantization.py::TestQuantizedEmbeddingOps::test_embedding_2d_indices, test/test_quantization.py::TestQuantizedEmbeddingOps::test_embedding_bag_2bit, test/test_quantization.py::TestQuantizedEmbeddingOps::test_embedding_bag_byte, test/test_quantization.py::TestQuantizedFunctionalOps::test_conv2d_api, test/test_quantization.py::TestQuantizedFunctionalOps::test_conv3d_api, test/test_quantization.py::TestQuantizedFunctionalOps::test_grid_sample, test/test_quantization.py::TestFakeQuantizeOps::test_backward_per_tensor, test/test_quantization.py::TestFakeQuantizeOps::test_backward_per_tensor_cachemask_cpu, test/test_quantization.py::TestFakeQuantizeOps::test_fixed_qparams_fq_module, test/test_quantization.py::TestFakeQuantizeOps::test_forward_backward_per_tensor_with_amp, test/test_quantization.py::TestFakeQuantizeOps::test_forward_per_channel_cachemask_cuda, test/test_quantization.py::TestFakeQuantizeOps::test_forward_per_tensor_cachemask_cuda, test/test_quantization.py::TestFakeQuantizeOps::test_learnable_backward_per_channel_cuda, test/test_quantization.py::TestFakeQuantizeOps::test_learnable_forward_per_channel_cpu, test/test_quantization.py::TestFakeQuantizeOps::test_numerical_consistency_per_tensor, test/test_quantization.py::TestFusedObsFakeQuant::test_fused_obs_fake_quant_moving_avg, test/test_quantization.py::TestQuantizedTensor::test_clone, test/test_quantization.py::TestQuantizedTensor::test_cuda_quantization_does_not_pin_memory, test/test_quantization.py::TestQuantizedTensor::test_decomposed_dequantize_per_tensor, test/test_quantization.py::TestQuantizedTensor::test_dequantize_fp16_cpu, test/test_quantization.py::TestQuantizedTensor::test_per_channel_to_device, test/test_quantization.py::TestQuantizedTensor::test_qscheme_pickle, test/test_quantization.py::TestQuantizedTensor::test_qtensor_cpu, test/test_quantization.py::TestQuantizedTensor::test_qtensor_dtypes, test/test_quantization.py::TestQuantizedTensor::test_qtensor_equal, test/test_quantization.py::TestQuantizedTensor::test_qtensor_fill_per_channel_nhwc, test/test_quantization.py::TestQuantizedTensor::test_qtensor_fill_per_tensor_nhwc, test/test_quantization.py::TestQuantizedTensor::test_qtensor_index_put_cuda, test/test_quantization.py::TestQuantizedTensor::test_qtensor_int_repr, test/test_quantization.py::TestQuantizedTensor::test_qtensor_resize, test/test_quantization.py::TestQuantizedTensor::test_qtensor_unsqueeze, test/test_quantization.py::TestQuantizedTensor::test_quantize_per_channel_sub_byte, test/test_quantization.py::TestFakeQuantize::test_fq_module_per_channel, test/test_quantization.py::TestObserver::test_dynamic_quant_observer, test/test_quantization.py::TestObserver::test_histogram_observer_save_load_state_dict, test/test_quantization.py::TestObserver::test_per_tensor_observers, test/test_quantization.py::TestStaticQuantizedModule::test_batch_norm3d, test/test_quantization.py::TestStaticQuantizedModule::test_linear_tanh, test/test_quantization.py::TestStaticQuantizedModule::test_sigmoid, test/test_quantization.py::TestDynamicQuantizedModule::test_dynamic_conv3d, test/test_quantization.py::TestDynamicQuantizedModule::test_dynamic_convtranspose1d, test/test_quantization.py::TestDynamicQuantizedModule::test_linear_api, test/test_quantization.py::TestDynamicQuantizedModule::test_lstm_api, test/test_quantization.py::TestRecordHistogramObserver::test_record_observer, test/test_quantization.py::TestHistogramObserver::test_histogram_observer, test/test_quantization.py::TestHistogramObserver::test_histogram_observer_correct_numel, test/test_quantization.py::TestHistogramObserver::test_histogram_observer_same_inputs, test/test_quantization.py::TestHistogramObserver::test_histogram_observer_single_inputs, test/test_quantization.py::TestFusedObsFakeQuantModule::test_fused_obs_fq_module, test/test_quantization.py::TestBackendConfig::test_backend_config_from_dict, test/test_quantization.py::TestBackendConfig::test_backend_config_set_name, test/test_quantization.py::TestBackendConfig::test_backend_op_config_from_dict, test/test_quantization.py::TestBackendConfig::test_backend_op_config_set_root_module, test/test_quantization.py::TestBackendConfig::test_backend_op_config_set_root_node_getter, test/test_quantization.py::TestBackendConfig::test_backend_op_config_to_dict, test/test_quantization.py::TestUtils::test_get_fqn_to_example_inputs_default_kwargs, test/test_quantization.py::TestQuantizationDocs::test_quantization_doc_custom, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_activations_in_non_leaf_module_list, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_dequant_stub, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_manual, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_nested3, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_linear_relu_fusion, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_nested2, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_quantized_rnn_cell, test/test_quantization.py::TestQuantizeEagerOps::test_conv_transpose_3d, test/test_quantization.py::TestQuantizeEagerOps::test_leaky_relu, test/test_quantization.py::TestQuantizeEagerQAT::test_add_scalar_uses_input_qparams, test/test_quantization.py::TestQuantizeEagerQAT::test_conv_linear, test/test_quantization.py::TestQuantizeEagerQAT::test_dropout, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_leaky_relu, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_relu, test/test_quantization.py::TestFuseEager::test_fusion_convtranspose_bn_eval, test/test_quantization.py::TestFuseEager::test_fusion_linear_bn_eval, test/test_quantization.py::TestModelNumericsEager::test_fake_quant_true_quant_compare, test/test_quantization.py::TestModelNumericsEager::test_weight_only_activation_only_fakequant, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_outputs_conv_static, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_outputs_functional_static, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_stub_conv_static, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_stub_submodule_static, test/test_quantization.py::TestNumericSuiteEager::test_compare_weights_linear_dynamic, test/test_quantization.py::TestNumericSuiteEager::test_mobilenet_v2, test/test_quantization.py::TestBiasCorrectionEager::test_linear_chain, test/test_quantization.py::TestFuseFx::test_fuse_convtranspose_bn_eval, test/test_quantization.py::TestFuseFx::test_fusion_pattern_with_multiple_inputs, test/test_quantization.py::TestQuantizeFx::test_attention, test/test_quantization.py::TestQuantizeFx::test_convert_custom_config_set_preserved_attributes, test/test_quantization.py::TestQuantizeFx::test_convtranspose_per_channel_fails_early, test/test_quantization.py::TestQuantizeFx::test_custom_module_class_input_has_multiple_users, test/test_quantization.py::TestQuantizeFx::test_dynamic_linear_input_multiple_use, test/test_quantization.py::TestQuantizeFx::test_get_default_qconfig_valid_backend, test/test_quantization.py::TestQuantizeFx::test_getattr_with_nontensor_result, test/test_quantization.py::TestQuantizeFx::test_linear_leaky_relu_lowering, test/test_quantization.py::TestQuantizeFx::test_lowering_functional_linear_with_kwargs, test/test_quantization.py::TestQuantizeFx::test_not_used, test/test_quantization.py::TestQuantizeFx::test_pattern_match_constant, test/test_quantization.py::TestQuantizeFx::test_permute_nontensor_args_not_observed, test/test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_float_to_observed_mapping, test/test_quantization.py::TestQuantizeFx::test_prepare_custom_config_to_dict, test/test_quantization.py::TestQuantizeFx::test_prepare_mode, test/test_quantization.py::TestQuantizeFx::test_propagate_dtypes_for_known_nodes_list_args, test/test_quantization.py::TestQuantizeFx::test_propagate_dtypes_for_known_nodes_split_list_args, test/test_quantization.py::TestQuantizeFx::test_propagate_dtypes_for_known_nodes_split_tuple_args, test/test_quantization.py::TestQuantizeFx::test_qconfig_function, test/test_quantization.py::TestQuantizeFx::test_qconfig_module_name_object_type_order, test/test_quantization.py::TestQuantizeFx::test_qnnpack_backend_config, test/test_quantization.py::TestQuantizeFx::test_qparams_buffers, test/test_quantization.py::TestQuantizeFx::test_ref_linear_module, test/test_quantization.py::TestQuantizeFx::test_save_observer_state_dict, test/test_quantization.py::TestQuantizeFx::test_shape_followed_by_quantized_op, test/test_quantization.py::TestQuantizeFx::test_standalone_module_float_interface, test/test_quantization.py::TestQuantizeFx::test_standalone_module_quantized_interface, test/test_quantization.py::TestQuantizeFx::test_state_dict, test/test_quantization.py::TestQuantizeFx::test_static_lstm_consume_tuple, test/test_quantization.py::TestQuantizeFx::test_symmetric_qnnpack_qconfig_mapping, test/test_quantization.py::TestQuantizeFx::test_torch_transpose_nontensor_args_not_observed, test/test_quantization.py::TestQuantizeFx::test_view_nontensor_args_not_observed, test/test_quantization.py::TestQuantizeFxOps::test_add_relu, test/test_quantization.py::TestQuantizeFxOps::test_add_relu_multiple_uses_of_relu, test/test_quantization.py::TestQuantizeFxOps::test_ave_pool_with_custom_cfg, test/test_quantization.py::TestQuantizeFxOps::test_cat, test/test_quantization.py::TestQuantizeFxOps::test_chunk, test/test_quantization.py::TestQuantizeFxOps::test_conv_transpose_2d, test/test_quantization.py::TestQuantizeFxOps::test_copy_node_fp32_input, test/test_quantization.py::TestQuantizeFxOps::test_div, test/test_quantization.py::TestQuantizeFxOps::test_elu, test/test_quantization.py::TestQuantizeFxOps::test_fixed_qparams_ops, test/test_quantization.py::TestQuantizeFxOps::test_gelu_normal, 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_norm_weight_bias, test/test_quantization.py::TestQuantizeFxOps::test_quantized_add_qat, test/test_quantization.py::TestQuantizeFxOps::test_quantized_conv_relu, test/test_quantization.py::TestQuantizeFxOps::test_silu_reference, test/test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_graph_argument_order, test/test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_pattern_is_entire_graph, test/test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_placeholder_matching, test/test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_preserves_logic, test/test_quantization.py::TestSubgraphRewriter::test_subgraph_writer_replace_consecutive_submodules, test/test_quantization.py::TestGraphUtils::test_conv_bn_relu, test/test_quantization.py::TestDuplicateDQPass::test_simple_duplicate_dq, test/test_quantization.py::TestNumericDebugger::test_control_flow, test/test_quantization.py::TestNumericDebugger::test_prepare_for_propagation_comparison, 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_disallow_eval_train, test/test_quantization.py::TestQuantizePT2E::test_dont_fold_other_constant, test/test_quantization.py::TestQuantizePT2E::test_max_pool2d_quantizer, test/test_quantization.py::TestQuantizePT2E::test_prepare_obs_or_fq_callback, 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_reentrant, test/test_quantization.py::TestQuantizePT2E::test_simple_quantizer, test/test_quantization.py::TestQuantizePT2EAffineQuantization::test_channel_group_quantization, test/test_quantization.py::TestPT2ERepresentation::test_dynamic_linear, test/test_quantization.py::TestPT2ERepresentation::test_qdq_per_channel, test/test_quantization.py::TestPT2ERepresentation::test_static_linear, test/test_quantization.py::TestXNNPACKQuantizer::test_mul_and_inplace_mul, test/test_quantization.py::TestXNNPACKQuantizer::test_obs_sharing_ops, test/test_quantization.py::TestXNNPACKQuantizer::test_qat_dynamic_linear, test/test_quantization.py::TestXNNPACKQuantizerModels::test_resnet18, 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_flatten_recipe, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_flatten_recipe2, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary2, 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_unary_dynamic_qat, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_maxpool2d_recipe, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_qat_dynamic_quant_linear, 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_with_underscores, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_set_module_name_with_mixed_configs, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_fusion, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_fusion_literal_args, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_per_channel_weight_bias, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_transpose_bn, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_inplace_add_relu, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_preserve_source_fn_stack, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_fusion, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_relu_fusion_cuda, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_preserve_source_fn_stack, test/test_quantization.py::TestFXGraphMatcher::test_simple_fun, test/test_quantization.py::TestFXGraphMatcher::test_simple_fusion, test/test_quantization.py::TestFXGraphMatcher::test_simple_tensor_ops, test/test_quantization.py::TestFXGraphMatcherModels::test_mobilenet_v2, test/test_quantization.py::TestFXGraphMatcherModels::test_mobilenet_v2_qat, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_shadow_loggers_cuda, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_shadow_loggers_meth_ptq, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_cuda, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_layer_names, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_linear_fp16_activations, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_match_activations_fun_ptq, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_mul_add_cat_stack_skips_shadowing, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_user_defined_function, test/test_quantization.py::TestFXNumericSuiteNShadows::test_conv_bn_relu_mod, test/test_quantization.py::TestFXNumericSuiteNShadows::test_functions, test/test_quantization.py::TestFXNumericSuiteNShadows::test_qconfig_multi_mapping_deduplication, test/test_quantization.py::TestFXNumericSuiteNShadows::test_qconfig_multi_mapping_insert_padding, test/test_quantization.py::TestFXNumericSuiteNShadows::test_qconfig_multi_mapping_ordering, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_activations_linear, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_activations_lstm_dynamic, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_shadow_activations_lstm_dynamic, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_weights_conv, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_weights_linear, test/test_quantization.py::TestFxModelReportDetector::test_multi_linear_model_without_per_channel, test/test_quantization.py::TestFxModelReportDetector::test_simple_conv, test/test_quantization.py::TestFxModelReportObserver::test_zero_tensor_errors, test/test_quantization.py::TestFxModelReportClass::test_equalization_mapping_generation, test/test_quantization.py::TestFxModelReportClass::test_generate_report, test/test_quantization.py::TestFxDetectInputWeightEqualization::test_input_weight_equalization_report_gen, test/test_quantization.py::TestFxDetectOutliers::test_all_outlier_report_gen, test/test_quantization.py::TestEqualizeFx::test_input_weight_equalization_prepare, test/test_quantization.py::TestEqualizeFx::test_input_weight_equalization_weights_bias, test/test_quantization.py::TestSerialization::test_conv2d_graph, test/test_quantization.py::TestSerialization::test_conv2d_graph_v3, test/test_quantization.py::TestSerialization::test_conv2d_nobias_graph, test/test_quantization.py::TestSerialization::test_conv2d_nobias_graph_v3, test/test_quantization.py::TestSerialization::test_conv2d_relu, test/test_quantization.py::TestSerialization::test_default_qat_qconfig, test/test_quantization.py::TestSerialization::test_linear_relu, test/test_quantization.py::TestQuantizeJitPasses::test_conv_trace, test/test_quantization.py::TestQuantizeJitPasses::test_dedup_module_uses, test/test_quantization.py::TestQuantizeJitPasses::test_finalize_for_linear, test/test_quantization.py::TestQuantizeJitPasses::test_foldbn_trivial_nobias, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_for_if_consistent_observation, test/test_quantization.py::TestQuantizeJitPasses::test_replicate_dequantize_in_block, test/test_quantization.py::TestQuantizeJitOps::test_instance_norm, test/test_quantization.py::TestQuantizeJitOps::test_linear, test/test_quantization.py::TestQuantizeJitOps::test_quantized_cat, test/test_quantization.py::TestQuantizeJitOps::test_quantized_mul, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_dynamic_quant_multi_uses, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_dynamic_weight_observer, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_dynamic_with_if, test/test_quantization.py::TestQuantizeDynamicJitOps::test_embedding_bag, test/test_quantization.py::TestDeprecatedJitQuantized::test_rnn_cell_quantized, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_quantize, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_stubs, test/test_quantization.py::TestAOMigrationNNQuantized::test_functional_import, 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test/test_quantization.py::TestFloat8DtypeCPU::test_save_load_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_special_numbers_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_to_string_cpu_float8_e4m3fnuz
2025-03-14T06:13:52.1998735Z 
2025-03-14T06:18:20.8576984Z 
2025-03-14T06:18:20.8580093Z test_quantization 4/4 was successful, full logs can be found in artifacts with path test/test-reports/test_quantization_4.4_3360ff62dd0a370c_.log
2025-03-14T06:18:20.8814304Z Running 335 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_avg_pool3d, 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_hardswish, test/test_quantization.py::TestQuantizedOps::test_instance_norm, test/test_quantization.py::TestQuantizedOps::test_linear_bias_unpack, test/test_quantization.py::TestQuantizedOps::test_max_pool1d, test/test_quantization.py::TestQuantizedOps::test_max_pool2d, test/test_quantization.py::TestQuantizedOps::test_mean, test/test_quantization.py::TestQuantizedOps::test_qadd_broadcast, test/test_quantization.py::TestQuantizedOps::test_qadd_relu_different_qparams, test/test_quantization.py::TestQuantizedOps::test_qclamp, test/test_quantization.py::TestQuantizedOps::test_qmatmul, test/test_quantization.py::TestQuantizedOps::test_qprelu, test/test_quantization.py::TestQuantizedOps::test_qsoftmax, test/test_quantization.py::TestQuantizedOps::test_qthreshold, test/test_quantization.py::TestQuantizedOps::test_qtopk, test/test_quantization.py::TestQNNPackOps::test_hardtanh, test/test_quantization.py::TestQuantizedLinear::test_qlinear, test/test_quantization.py::TestQuantizedLinear::test_qlinear_gelu_pt2e, test/test_quantization.py::TestQuantizedLinear::test_qlinear_sum_pt2e, test/test_quantization.py::TestQuantizedLinear::test_qlinear_tanh, test/test_quantization.py::TestQuantizedLinear::test_wrapped_quantized_linear_prepacked, 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test/test_quantization.py::TestFakeQuantizeOps::test_fake_quantize_per_channel_affine_scale_dtypes, test/test_quantization.py::TestFakeQuantizeOps::test_forward_per_channel, test/test_quantization.py::TestFakeQuantizeOps::test_forward_per_tensor, test/test_quantization.py::TestFakeQuantizeOps::test_forward_per_tensor_cachemask_cpu, test/test_quantization.py::TestFakeQuantizeOps::test_learnable_backward_per_channel_cpu, test/test_quantization.py::TestFakeQuantizeOps::test_learnable_forward_per_channel_cuda, test/test_quantization.py::TestFakeQuantizeOps::test_learnable_forward_per_tensor_cpu, test/test_quantization.py::TestFakeQuantizeOps::test_numerical_consistency_per_channel, test/test_quantization.py::TestQuantizedTensor::test_choose_qparams_optimized, test/test_quantization.py::TestQuantizedTensor::test_compare_per_channel_device_numerics, test/test_quantization.py::TestQuantizedTensor::test_compare_per_tensor_device_numerics, test/test_quantization.py::TestQuantizedTensor::test_decomposed_choose_qparams_per_token_asymmetric_backward, 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_jit_serialization, test/test_quantization.py::TestQuantizedTensor::test_per_channel_qtensor_creation_cpu, test/test_quantization.py::TestQuantizedTensor::test_per_tensor_qtensor_to_memory_format, test/test_quantization.py::TestQuantizedTensor::test_qtensor_creation, test/test_quantization.py::TestQuantizedTensor::test_qtensor_cuda, test/test_quantization.py::TestQuantizedTensor::test_qtensor_masked_fill_cpu, test/test_quantization.py::TestQuantizedTensor::test_qtensor_per_channel_load_save, test/test_quantization.py::TestQuantizedTensor::test_qtensor_permute, test/test_quantization.py::TestQuantizedTensor::test_qtensor_quant_dequant, test/test_quantization.py::TestQuantizedTensor::test_qtensor_sub_byte_aligned_cols, test/test_quantization.py::TestQuantizedTensor::test_torch_qtensor_deepcopy, test/test_quantization.py::TestFakeQuantize::test_fq_serializable_per_channel, 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_observer_qparams_respects_device_affinity, test/test_quantization.py::TestObserver::test_per_channel_observers_load_state_dict, test/test_quantization.py::TestObserver::test_save_load_state_dict_script, test/test_quantization.py::TestStaticQuantizedModule::test_batch_norm2d, test/test_quantization.py::TestStaticQuantizedModule::test_batch_norm3d_serialization, test/test_quantization.py::TestStaticQuantizedModule::test_conv3d_api, test/test_quantization.py::TestStaticQuantizedModule::test_dropout, test/test_quantization.py::TestStaticQuantizedModule::test_embedding_api, test/test_quantization.py::TestStaticQuantizedModule::test_embedding_bag_api, test/test_quantization.py::TestStaticQuantizedModule::test_linear_relu, test/test_quantization.py::TestStaticQuantizedModule::test_relu, test/test_quantization.py::TestDynamicQuantizedModule::test_dynamic_conv1d, test/test_quantization.py::TestDynamicQuantizedModule::test_dynamic_convtranspose3d, test/test_quantization.py::TestDynamicQuantizedModule::test_gru_api, test/test_quantization.py::TestReferenceQuantizedModule::test_linear_decomposed_weight_custom_qmin_qmax, test/test_quantization.py::TestReferenceQuantizedModule::test_rnn_cell, test/test_quantization.py::TestHistogramObserver::test_histogram_observer_against_reference, test/test_quantization.py::TestDistributed::test_observers_preserve_buffers, test/test_quantization.py::TestDistributed::test_qat_convbn_fused_syncbn_replacement, 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test/test_quantization.py::TestQuantizeEagerQAT::test_forward_hooks_preserved, test/test_quantization.py::TestQuantizeEagerQAT::test_mul_scalar_uses_input_qparams, test/test_quantization.py::TestQuantizeEagerQAT::test_qat_embedding_bag_errors, test/test_quantization.py::TestQuantizeEagerQAT::test_train_save_load_eval, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_linear_bn_workflow, test/test_quantization.py::TestFuseEager::test_fuse_function_customization, test/test_quantization.py::TestFuseEager::test_fuse_module_train, test/test_quantization.py::TestFuseEager::test_fusion_sequential_model_train, test/test_quantization.py::TestModelNumericsEager::test_float_quant_compare_per_channel, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_stub_functional_static, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_stub_lstm_dynamic, test/test_quantization.py::TestNumericSuiteEager::test_compare_weights_conv_static, 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test/test_quantization.py::TestQuantizeFx::test_conv_transpose_relu_not_reference, test/test_quantization.py::TestQuantizeFx::test_convert_custom_config_to_dict, test/test_quantization.py::TestQuantizeFx::test_convert_qconfig_mapping, test/test_quantization.py::TestQuantizeFx::test_copy_node_has_shared_actpp_instance, test/test_quantization.py::TestQuantizeFx::test_custom_module_class_input_has_duplicate_nodes, test/test_quantization.py::TestQuantizeFx::test_dequantize, test/test_quantization.py::TestQuantizeFx::test_dict_output, test/test_quantization.py::TestQuantizeFx::test_dynamic_quant_weight_observer, test/test_quantization.py::TestQuantizeFx::test_fold_quant_dequant, test/test_quantization.py::TestQuantizeFx::test_fp32_input_fp32_output, test/test_quantization.py::TestQuantizeFx::test_fuse_custom_config_from_dict, test/test_quantization.py::TestQuantizeFx::test_fused_module_qat_swap, test/test_quantization.py::TestQuantizeFx::test_fusion_pattern_unquantized, 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test/test_quantization.py::TestXNNPACKQuantizer::test_linear, test/test_quantization.py::TestXNNPACKQuantizer::test_set_module_type, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_cat_recipe_same_inputs, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_conv2d_binary, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_conv2d_binary2, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary_dynamic_qat, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_unary_dynamic, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_qat_conv2d_binary, 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::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_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_update_shared_qspec, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_bias_derived_qspec, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_fusion_literal_args, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_per_channel_weight_bias, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_no_bias, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_update_shared_qspec, test/test_quantization.py::TestQuantizePT2EQATModels::test_qat_mobilenet_v2, test/test_quantization.py::TestFXGraphMatcher::test_dict_return_type, test/test_quantization.py::TestFXGraphMatcher::test_methods, test/test_quantization.py::TestFXGraphMatcher::test_nodes_before_cat, test/test_quantization.py::TestFXGraphMatcher::test_simple_mod, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_loggers_cuda, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extend_logger_results_with_comparison, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_linear_fun_qat, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_linear_fp16_weights, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_loggers_preserve_qat_numerics, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_logging_inputs, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_match_activations_fqn, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_unsupported_op_copy_skips_shadowing, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_user_module_scriptable, test/test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_conv_bn_relu_fusion_fp32, test/test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_linear_mod_quant_quant, test/test_quantization.py::TestFXNumericSuiteNShadows::test_linear_relu_mod, test/test_quantization.py::TestFXNumericSuiteNShadows::test_partial_qconfig_mapping, test/test_quantization.py::TestFXNumericSuiteNShadows::test_qconfig_multi_mapping_retroactive_padding, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_mobilenet_v2, test/test_quantization.py::TestFxModelReportDetector::test_multiple_q_config_options, test/test_quantization.py::TestFxModelReportDetector::test_sequential_model_format, test/test_quantization.py::TestFxModelReportObserver::test_random_epochs_and_batches, test/test_quantization.py::TestFxModelReportDetectDynamicStatic::test_nested_detection_case, test/test_quantization.py::TestFxDetectInputWeightEqualization::test_input_weight_equalization_determine_points, test/test_quantization.py::TestFxDetectOutliers::test_no_outlier_report_gen, test/test_quantization.py::TestFxModelReportVisualizer::test_generate_tables_match_with_report, test/test_quantization.py::TestFxModelReportVisualizer::test_generate_tables_single_feat_match, test/test_quantization.py::TestEqualizeFx::test_input_weight_equalization_convert, test/test_quantization.py::TestEqualizeFx::test_input_weight_equalization_equalization_scales, test/test_quantization.py::TestSerialization::test_conv2d_graph_v2, test/test_quantization.py::TestSerialization::test_conv2d_nobias_graph_v2, test/test_quantization.py::TestSerialization::test_conv3d_relu, test/test_quantization.py::TestSerialization::test_linear, test/test_quantization.py::TestQuantizeJit::test_nested, test/test_quantization.py::TestQuantizeJit::test_skip_quant, test/test_quantization.py::TestQuantizeJitPasses::test_finalize_debug, test/test_quantization.py::TestQuantizeJitPasses::test_foldbn_shared_classtype, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_for_if, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_interface_unshare_type, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_propagate_observed_for_function, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_shared_class_type, test/test_quantization.py::TestQuantizeJitPasses::test_insert_quant_dequant_shared_class_type, test/test_quantization.py::TestQuantizeJitPasses::test_interface_with_fork, test/test_quantization.py::TestQuantizeJitPasses::test_replicate_dequantize, test/test_quantization.py::TestQuantizeJitOps::test_clamp, test/test_quantization.py::TestQuantizeJitOps::test_conv_with_benchmark_flag, test/test_quantization.py::TestQuantizeJitOps::test_elu, test/test_quantization.py::TestQuantizeJitOps::test_hardswish, test/test_quantization.py::TestQuantizeJitOps::test_layer_norm, test/test_quantization.py::TestQuantizeJitOps::test_qbatch_norm_relu_BNFuncRelu, test/test_quantization.py::TestQuantizeJitOps::test_quantized_add, test/test_quantization.py::TestQuantizeJitOps::test_quantized_add_relu_alpha, test/test_quantization.py::TestQuantizeJitOps::test_quantized_add_scalar_relu, test/test_quantization.py::TestQuantizeJitOps::test_quantized_mul_scalar_relu, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_dynamic_multi_op, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_prepare_dynamic_child_qconfig, test/test_quantization.py::TestQuantizeDynamicJitOps::test_embedding_bag_padding_idx_error, test/test_quantization.py::TestFusionPasses::test_quantized_add_relu_fusion, test/test_quantization.py::TestDeprecatedJitQuantized::test_erase_class_tensor_shapes, test/test_quantization.py::TestDeprecatedJitQuantized::test_quantization_modules, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_fake_quantize, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_quantization_mappings, test/test_quantization.py::TestAOMigrationNNQuantized::test_import_nn_qat_embedding_ops, test/test_quantization.py::TestAOMigrationNNQuantized::test_import_nn_qat_linear, test/test_quantization.py::TestAOMigrationNNQuantized::test_import_nn_quantizable_rnn, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_activation, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_linear, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_normalization, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_import_nn_intrinsic_quantized, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_pattern_utils, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_quantization_patterns, test/test_quantization.py::TestBitsCPU::test_subclass_cpu, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_extremes_cpu_float8_e4m3fn, 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_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_subnormals_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_cat_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_creation_with_zeros_cpu_float8_e4m3fn, 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_finfo_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_save_load_cpu_float8_e5m2, 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_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_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPUOnlyCPU::test_mul_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPUOnlyCPU::test_pt2_traceable_aot_eager_cpu_float8_e4m3fn
2025-03-14T06:18:20.8997492Z 
2025-03-14T06:18:21.6874288Z Running test batch 'tests to run' cost 7721.22 seconds
2025-03-14T06:18:27.4726439Z 
2025-03-14T06:18:27.4728812Z real	128m50.911s
2025-03-14T06:18:27.4729281Z user	486m36.076s
2025-03-14T06:18:27.4729533Z sys	29m1.487s
2025-03-14T06:18:27.4738422Z + assert_git_not_dirty
2025-03-14T06:18:27.4750659Z + [[ linux-focal-py3.13-clang10 != *rocm* ]]
2025-03-14T06:18:27.4751221Z + [[ linux-focal-py3.13-clang10 != *xla* ]]
2025-03-14T06:18:27.4762730Z ++ git status --porcelain
2025-03-14T06:18:27.4763365Z ++ grep -v '?? third_party'
2025-03-14T06:19:04.7682291Z ++ true
2025-03-14T06:19:04.7739129Z + git_status=
2025-03-14T06:19:04.7739505Z + [[ -n '' ]]
2025-03-14T06:19:04.7740278Z + test_aten
2025-03-14T06:19:04.7743977Z + echo 'Running ATen tests with pytorch lib'
2025-03-14T06:19:04.7744504Z Running ATen tests with pytorch lib
2025-03-14T06:19:04.7744932Z + [[ -n '' ]]
2025-03-14T06:19:04.7745357Z + echo 'Running test with the build folder'
2025-03-14T06:19:04.7745805Z Running test with the build folder
2025-03-14T06:19:04.7746156Z + TEST_BASE_DIR=build/bin
2025-03-14T06:19:04.7746682Z + ln -sf /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libc10.so build/bin
2025-03-14T06:19:04.7775653Z + ln -sf '/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libcaffe2*' build/bin
2025-03-14T06:19:04.7785536Z + ln -sf '/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libmkldnn*' build/bin
2025-03-14T06:19:04.7794953Z + ln -sf '/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libnccl*' build/bin
2025-03-14T06:19:04.7805969Z + ln -sf /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libtorch.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libtorch_cpu.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libtorch_global_deps.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libtorch_python.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libtorchbind_test.so build/bin
2025-03-14T06:19:04.7813566Z + ls build/bin
2025-03-14T06:19:04.7894119Z  BackoffTest			       cpu_profiling_allocator_test
2025-03-14T06:19:04.7894841Z  CMakeFiles			       cpu_rng_test
2025-03-14T06:19:04.7895450Z  CTestTestfile.cmake		       dispatch_key_set_test
2025-03-14T06:19:04.7896120Z  CppSignature_test		       dlconvertor_test
2025-03-14T06:19:04.7896722Z  Dict_test			       example_allreduce
2025-03-14T06:19:04.7897198Z  Dimname_test			       extension_backend_test
2025-03-14T06:19:04.7897592Z  FileStoreTest			       half_test
2025-03-14T06:19:04.7897969Z  HashStoreTest			       inline_container_test
2025-03-14T06:19:04.7898531Z  IListRef_test			       ivalue_test
2025-03-14T06:19:04.7899198Z  KernelFunction_test		       kernel_function_legacy_test
2025-03-14T06:19:04.7899939Z  List_test			       kernel_function_test
2025-03-14T06:19:04.7900621Z  MaybeOwned_test		       kernel_lambda_legacy_test
2025-03-14T06:19:04.7901062Z  NamedTensor_test		       kernel_lambda_test
2025-03-14T06:19:04.7901512Z  ProcessGroupGlooTest		       kernel_stackbased_test
2025-03-14T06:19:04.7901933Z  StorageUtils_test		       lazy_tensor_test
2025-03-14T06:19:04.7902321Z  TCPStoreTest			       legacy_vmap_test
2025-03-14T06:19:04.7902698Z  aot_model_compiler_test	       libc10.so
2025-03-14T06:19:04.7903080Z  apply_utils_test		      'libcaffe2*'
2025-03-14T06:19:04.7903442Z  atest				      'libmkldnn*'
2025-03-14T06:19:04.7903807Z  backend_fallback_test		      'libnccl*'
2025-03-14T06:19:04.7904172Z  basic				       libtorch.so
2025-03-14T06:19:04.7904516Z  broadcast_test			       libtorch_cpu.so
2025-03-14T06:19:04.7905067Z  c10_ArrayRef_test		       libtorch_global_deps.so
2025-03-14T06:19:04.7905486Z  c10_Bitset_test		       libtorch_python.so
2025-03-14T06:19:04.7905960Z  c10_CompileTimeFunctionPointer_test   libtorchbind_test.so
2025-03-14T06:19:04.7906526Z  c10_ConstexprCrc_test		       make_boxed_from_unboxed_functor_test
2025-03-14T06:19:04.7907041Z  c10_DeadlockDetection_test	       math_kernel_test
2025-03-14T06:19:04.7907471Z  c10_DeviceGuard_test		       memory_format_test
2025-03-14T06:19:04.7907886Z  c10_Device_test		       memory_overlapping_test
2025-03-14T06:19:04.7908322Z  c10_DispatchKeySet_test	       mobile_memory_cleanup
2025-03-14T06:19:04.7908728Z  c10_Half_test			       native_test
2025-03-14T06:19:04.7909117Z  c10_InlineDeviceGuard_test	       op_allowlist_test
2025-03-14T06:19:04.7909587Z  c10_InlineStreamGuard_test	       op_registration_test
2025-03-14T06:19:04.7910031Z  c10_LeftRight_test		       operator_name_test
2025-03-14T06:19:04.7910447Z  c10_Metaprogramming_test	       operators_test
2025-03-14T06:19:04.7910897Z  c10_NetworkFlow_test		       packedtensoraccessor_test
2025-03-14T06:19:04.7911380Z  c10_Scalar_test		       parallel_benchmark
2025-03-14T06:19:04.7911768Z  c10_SizesAndStrides_test	       pow_test
2025-03-14T06:19:04.7912147Z  c10_StreamGuard_test		       protoc
2025-03-14T06:19:04.7912569Z  c10_SymInt_test		       protoc-3.13.0.0
2025-03-14T06:19:04.7913010Z  c10_Synchronized_test		       quantized_test
2025-03-14T06:19:04.7913416Z  c10_ThreadLocal_test		       reduce_ops_test
2025-03-14T06:19:04.7913839Z  c10_TypeIndex_test		       reportMemoryUsage_test
2025-03-14T06:19:04.7914261Z  c10_TypeList_test		       scalar_tensor_test
2025-03-14T06:19:04.7914645Z  c10_TypeTraits_test		       scalar_test
2025-03-14T06:19:04.7915133Z  c10_accumulate_test		       static_runtime_bench
2025-03-14T06:19:04.7915552Z  c10_bfloat16_test		       static_runtime_test
2025-03-14T06:19:04.7915959Z  c10_bit_cast_test		       stride_properties_test
2025-03-14T06:19:04.7916393Z  c10_complex_math_test		       tensor_iterator_test
2025-03-14T06:19:04.7916794Z  c10_complex_test		       test_api
2025-03-14T06:19:04.7917137Z  c10_cow_test			       test_cpp_rpc
2025-03-14T06:19:04.7917496Z  c10_error_test			       test_dist_autograd
2025-03-14T06:19:04.7917909Z  c10_exception_test		       test_edge_op_registration
2025-03-14T06:19:04.7918320Z  c10_flags_test			       test_jit
2025-03-14T06:19:04.7918644Z  c10_generic_math_test		       test_lazy
2025-03-14T06:19:04.7919043Z  c10_intrusive_ptr_benchmark	       test_mobile_nnc
2025-03-14T06:19:04.7919469Z  c10_intrusive_ptr_test		       test_parallel
2025-03-14T06:19:04.7919853Z  c10_irange_test		       test_tensorexpr
2025-03-14T06:19:04.7920224Z  c10_lazy_test			       thread_init_test
2025-03-14T06:19:04.7920600Z  c10_logging_test		       torch_shm_manager
2025-03-14T06:19:04.7920994Z  c10_optional_test		       tutorial_tensorexpr
2025-03-14T06:19:04.7921429Z  c10_ordered_preserving_dict_test      type_ptr_test
2025-03-14T06:19:04.7921835Z  c10_registry_test		       type_test
2025-03-14T06:19:04.7922229Z  c10_small_vector_test		       undefined_tensor_test
2025-03-14T06:19:04.7922667Z  c10_ssize_test			       vec_test_all_types_AVX2
2025-03-14T06:19:04.7923100Z  c10_string_util_test		       vec_test_all_types_AVX512
2025-03-14T06:19:04.7923559Z  c10_string_view_test		       vec_test_all_types_DEFAULT
2025-03-14T06:19:04.7924002Z  c10_tempfile_test		       verify_api_visibility
2025-03-14T06:19:04.7924393Z  c10_typeid_test		       weakref_test
2025-03-14T06:19:04.7924760Z  cmake_install.cmake		       wrapdim_test
2025-03-14T06:19:04.7925143Z  cpu_allocator_test		       xla_tensor_test
2025-03-14T06:19:04.7925499Z  cpu_generator_test
2025-03-14T06:19:04.7925773Z + aten/tools/run_tests.sh build/bin
2025-03-14T06:19:04.7951069Z + set -e
2025-03-14T06:19:04.7953875Z ++ dirname aten/tools/run_tests.sh
2025-03-14T06:19:04.7974768Z + VALGRIND_SUP=/var/lib/jenkins/workspace/aten/tools/valgrind.sup
2025-03-14T06:19:04.7975659Z + export CPP_TESTS_DIR=build/bin
2025-03-14T06:19:04.7976373Z + CPP_TESTS_DIR=build/bin
2025-03-14T06:19:04.7976867Z + VALGRIND=ON
2025-03-14T06:19:04.7979019Z + python test/run_test.py --cpp --verbose -i cpp/basic cpp/atest cpp/scalar_test cpp/broadcast_test cpp/wrapdim_test cpp/apply_utils_test cpp/dlconvertor_test cpp/native_test cpp/scalar_tensor_test cpp/undefined_tensor_test cpp/extension_backend_test cpp/lazy_tensor_test cpp/tensor_iterator_test cpp/Dimname_test cpp/Dict_test cpp/NamedTensor_test cpp/cpu_generator_test cpp/legacy_vmap_test cpp/operators_test
2025-03-14T06:19:04.9009122Z /var/lib/jenkins/workspace/test/run_test.py:24: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html
2025-03-14T06:19:04.9010081Z   import pkg_resources
2025-03-14T06:19:08.6443733Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-03-14T06:19:08.6660369Z Found test times from artifacts
2025-03-14T06:19:08.7516508Z Found test times from artifacts
2025-03-14T06:19:08.7541323Z Running all tests
2025-03-14T06:19:08.7546223Z Running parallel tests on 3 processes
2025-03-14T06:19:08.7547807Z Name: tests to run (est. time: 0.0min)
2025-03-14T06:19:08.7548265Z   Serial tests (0):
2025-03-14T06:19:08.7548702Z   Parallel tests (19):
2025-03-14T06:19:08.7549102Z     cpp/Dict_test 1/1
2025-03-14T06:19:08.7549399Z     cpp/Dimname_test 1/1
2025-03-14T06:19:08.7549725Z     cpp/NamedTensor_test 1/1
2025-03-14T06:19:08.7550113Z     cpp/apply_utils_test 1/1
2025-03-14T06:19:08.7550406Z     cpp/atest 1/1
2025-03-14T06:19:08.7550735Z     cpp/basic 1/1
2025-03-14T06:19:08.7551021Z     cpp/broadcast_test 1/1
2025-03-14T06:19:08.7551387Z     cpp/cpu_generator_test 1/1
2025-03-14T06:19:08.7551720Z     cpp/dlconvertor_test 1/1
2025-03-14T06:19:08.7552103Z     cpp/extension_backend_test 1/1
2025-03-14T06:19:08.7552466Z     cpp/lazy_tensor_test 1/1
2025-03-14T06:19:08.7552795Z     cpp/legacy_vmap_test 1/1
2025-03-14T06:19:08.7553121Z     cpp/native_test 1/1
2025-03-14T06:19:08.7553432Z     cpp/operators_test 1/1
2025-03-14T06:19:08.7553763Z     cpp/scalar_tensor_test 1/1
2025-03-14T06:19:08.7554082Z     cpp/scalar_test 1/1
2025-03-14T06:19:08.7554385Z     cpp/tensor_iterator_test 1/1
2025-03-14T06:19:08.7554728Z     cpp/undefined_tensor_test 1/1
2025-03-14T06:19:08.7555129Z     cpp/wrapdim_test 1/1
2025-03-14T06:19:08.7555433Z Name: excluded (est. time: 0.0min)
2025-03-14T06:19:08.7555769Z   Serial tests (0):
2025-03-14T06:19:08.7556054Z   Parallel tests (0):
2025-03-14T06:19:08.7606446Z Running cpp/Dict_test 1/1 ... [2025-03-14 06:19:08.760331]
2025-03-14T06:19:08.7607282Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T06:19:08.7620913Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/Dict_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-d20401ebaaf52cbe.xml', '-x', '--reruns=2'] ... [2025-03-14 06:19:08.761675]
2025-03-14T06:19:11.7323569Z 
2025-03-14T06:19:11.7325160Z cpp/Dict_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dict_test_1.1_961edec7e5b92b75_.log
2025-03-14T06:19:11.7326455Z 
2025-03-14T06:19:11.7326830Z Running cpp/Dimname_test 1/1 ... [2025-03-14 06:19:11.732392]
2025-03-14T06:19:11.7327658Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T06:19:11.7331461Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/Dimname_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-fdcf024d9497a910.xml', '-x', '--reruns=2'] ... [2025-03-14 06:19:11.732851]
2025-03-14T06:19:13.4003963Z 
2025-03-14T06:19:13.4004915Z cpp/Dimname_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dimname_test_1.1_60a0812a5d6a1a8d_.log
2025-03-14T06:19:13.4005606Z 
2025-03-14T06:19:13.4005830Z Running cpp/NamedTensor_test 1/1 ... [2025-03-14 06:19:13.400238]
2025-03-14T06:19:13.4007161Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T06:19:13.4008630Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/NamedTensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-a8e73aca02a11af9.xml', '-x', '--reruns=2'] ... [2025-03-14 06:19:13.400580]
2025-03-14T06:19:15.0677558Z 
2025-03-14T06:19:15.0678935Z cpp/NamedTensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.NamedTensor_test_1.1_79d92f237421612d_.log
2025-03-14T06:19:15.0680076Z 
2025-03-14T06:19:15.0680433Z Running cpp/apply_utils_test 1/1 ... [2025-03-14 06:19:15.067629]
2025-03-14T06:19:15.0681141Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T06:19:15.0683401Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/apply_utils_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-cc85ca7cd124198b.xml', '-x', '--reruns=2'] ... [2025-03-14 06:19:15.068020]
2025-03-14T06:19:16.7352393Z 
2025-03-14T06:19:16.7353398Z cpp/apply_utils_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.apply_utils_test_1.1_a4e7c7cc090dab18_.log
2025-03-14T06:19:16.7354315Z 
2025-03-14T06:19:16.7354582Z Running cpp/atest 1/1 ... [2025-03-14 06:19:16.735091]
2025-03-14T06:19:16.7355119Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T06:19:16.7356838Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/atest', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-fc92ef25f8955d6f.xml', '-x', '--reruns=2'] ... [2025-03-14 06:19:16.735462]
2025-03-14T06:19:18.4025887Z 
2025-03-14T06:19:18.4027225Z cpp/atest 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.atest_1.1_efc74bb7db74ca34_.log
2025-03-14T06:19:18.4027859Z 
2025-03-14T06:19:18.4028033Z Running cpp/basic 1/1 ... [2025-03-14 06:19:18.402455]
2025-03-14T06:19:18.4028497Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T06:19:18.4030481Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/basic', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-0feb5db3a1e2a605.xml', '-x', '--reruns=2'] ... [2025-03-14 06:19:18.402798]
2025-03-14T06:19:20.1200997Z 
2025-03-14T06:19:20.1201908Z cpp/basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.basic_1.1_3c79afe426406c86_.log
2025-03-14T06:19:20.1202658Z 
2025-03-14T06:19:20.1202913Z Running cpp/broadcast_test 1/1 ... [2025-03-14 06:19:20.119842]
2025-03-14T06:19:20.1203436Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T06:19:20.1204712Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/broadcast_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-4babcd5669479fbf.xml', '-x', '--reruns=2'] ... [2025-03-14 06:19:20.120191]
2025-03-14T06:19:21.7872407Z 
2025-03-14T06:19:21.7873509Z cpp/broadcast_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.broadcast_test_1.1_925025279e6aa9a9_.log
2025-03-14T06:19:21.7874224Z 
2025-03-14T06:19:21.7874460Z Running cpp/cpu_generator_test 1/1 ... [2025-03-14 06:19:21.787098]
2025-03-14T06:19:21.7874948Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T06:19:21.7876672Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cpu_generator_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-9946041a3f03e7dd.xml', '-x', '--reruns=2'] ... [2025-03-14 06:19:21.787436]
2025-03-14T06:19:23.4545580Z 
2025-03-14T06:19:23.4546907Z cpp/cpu_generator_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.cpu_generator_test_1.1_260da63b6eef4f1c_.log
2025-03-14T06:19:23.4547642Z 
2025-03-14T06:19:23.4548101Z Running cpp/dlconvertor_test 1/1 ... [2025-03-14 06:19:23.454464]
2025-03-14T06:19:23.4548584Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T06:19:23.4551002Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/dlconvertor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-a2d28680d1d588af.xml', '-x', '--reruns=2'] ... [2025-03-14 06:19:23.454848]
2025-03-14T06:19:25.1220483Z 
2025-03-14T06:19:25.1221552Z cpp/dlconvertor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.dlconvertor_test_1.1_f0e54066d688cfba_.log
2025-03-14T06:19:25.1222289Z 
2025-03-14T06:19:25.1222544Z Running cpp/extension_backend_test 1/1 ... [2025-03-14 06:19:25.121932]
2025-03-14T06:19:25.1223041Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T06:19:25.1225449Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/extension_backend_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-6a6fcfafa61c9af5.xml', '-x', '--reruns=2'] ... [2025-03-14 06:19:25.122302]
2025-03-14T06:19:26.8394514Z 
2025-03-14T06:19:26.8396286Z cpp/extension_backend_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.extension_backend_test_1.1_2cbf185d92b478fb_.log
2025-03-14T06:19:26.8397227Z 
2025-03-14T06:19:26.8397532Z Running cpp/lazy_tensor_test 1/1 ... [2025-03-14 06:19:26.839326]
2025-03-14T06:19:26.8398030Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T06:19:26.8399429Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/lazy_tensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-7dfdf1c7a7b15f9d.xml', '-x', '--reruns=2'] ... [2025-03-14 06:19:26.839702]
2025-03-14T06:19:28.5069211Z 
2025-03-14T06:19:28.5070933Z cpp/lazy_tensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.lazy_tensor_test_1.1_8da3d429e0a7f69d_.log
2025-03-14T06:19:28.5072050Z 
2025-03-14T06:19:28.5072425Z Running cpp/legacy_vmap_test 1/1 ... [2025-03-14 06:19:28.506794]
2025-03-14T06:19:28.5073136Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T06:19:28.5075467Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/legacy_vmap_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-c6790e71e5b8127d.xml', '-x', '--reruns=2'] ... [2025-03-14 06:19:28.507200]
2025-03-14T06:19:30.1746099Z 
2025-03-14T06:19:30.1747474Z cpp/legacy_vmap_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.legacy_vmap_test_1.1_3fd735fa6ba9fcf0_.log
2025-03-14T06:19:30.1748206Z 
2025-03-14T06:19:30.1748408Z Running cpp/native_test 1/1 ... [2025-03-14 06:19:30.174473]
2025-03-14T06:19:30.1748928Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T06:19:30.1750478Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/native_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-de8df3c358944232.xml', '-x', '--reruns=2'] ... [2025-03-14 06:19:30.174823]
2025-03-14T06:19:31.8421603Z 
2025-03-14T06:19:31.8422610Z cpp/native_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.native_test_1.1_94370622f98509b8_.log
2025-03-14T06:19:31.8423360Z 
2025-03-14T06:19:31.8423604Z Running cpp/operators_test 1/1 ... [2025-03-14 06:19:31.842019]
2025-03-14T06:19:31.8424090Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T06:19:31.8425970Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/operators_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-2ebc61bb70ce5151.xml', '-x', '--reruns=2'] ... [2025-03-14 06:19:31.842367]
2025-03-14T06:19:33.5596750Z 
2025-03-14T06:19:33.5598408Z cpp/operators_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.operators_test_1.1_78e7f998e17450b6_.log
2025-03-14T06:19:33.5599600Z 
2025-03-14T06:19:33.5600484Z Running cpp/scalar_tensor_test 1/1 ... [2025-03-14 06:19:33.559492]
2025-03-14T06:19:33.5601334Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T06:19:33.5603169Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/scalar_tensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-635dd2b18923b80a.xml', '-x', '--reruns=2'] ... [2025-03-14 06:19:33.559883]
2025-03-14T06:19:35.2272307Z 
2025-03-14T06:19:35.2273347Z cpp/scalar_tensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.scalar_tensor_test_1.1_a14fac8a8c44577a_.log
2025-03-14T06:19:35.2274079Z 
2025-03-14T06:19:35.2274284Z Running cpp/scalar_test 1/1 ... [2025-03-14 06:19:35.227093]
2025-03-14T06:19:35.2274738Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T06:19:35.2277126Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/scalar_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-098e0e00c52d5ad6.xml', '-x', '--reruns=2'] ... [2025-03-14 06:19:35.227463]
2025-03-14T06:19:36.8947082Z 
2025-03-14T06:19:36.8948303Z cpp/scalar_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.scalar_test_1.1_28a1f7d6b5580097_.log
2025-03-14T06:19:36.8949068Z 
2025-03-14T06:19:36.8949312Z Running cpp/tensor_iterator_test 1/1 ... [2025-03-14 06:19:36.894589]
2025-03-14T06:19:36.8949797Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T06:19:36.8951939Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/tensor_iterator_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-db29abd31157dd98.xml', '-x', '--reruns=2'] ... [2025-03-14 06:19:36.894950]
2025-03-14T06:19:38.5620005Z 
2025-03-14T06:19:38.5621098Z cpp/tensor_iterator_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.tensor_iterator_test_1.1_ba81667bf1984ddf_.log
2025-03-14T06:19:38.5621871Z 
2025-03-14T06:19:38.5622127Z Running cpp/undefined_tensor_test 1/1 ... [2025-03-14 06:19:38.561878]
2025-03-14T06:19:38.5622638Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T06:19:38.5624667Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/undefined_tensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-d4ddc03e400f045b.xml', '-x', '--reruns=2'] ... [2025-03-14 06:19:38.562209]
2025-03-14T06:19:40.2796631Z 
2025-03-14T06:19:40.2798045Z cpp/undefined_tensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.undefined_tensor_test_1.1_1b3605c273c7a963_.log
2025-03-14T06:19:40.2798890Z 
2025-03-14T06:19:40.2799114Z Running cpp/wrapdim_test 1/1 ... [2025-03-14 06:19:40.279304]
2025-03-14T06:19:40.2799595Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T06:19:40.2800857Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/wrapdim_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-83d183a5476cee11.xml', '-x', '--reruns=2'] ... [2025-03-14 06:19:40.279641]
2025-03-14T06:19:41.9968950Z 
2025-03-14T06:19:41.9969874Z cpp/wrapdim_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.wrapdim_test_1.1_3656f01c65ba1b55_.log
2025-03-14T06:19:41.9970556Z 
2025-03-14T06:19:41.9981495Z Running cpp/Dict_test 1/1 ... [2025-03-14 06:19:41.997868]
2025-03-14T06:19:41.9982184Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T06:19:41.9983273Z Running cpp/Dimname_test 1/1 ... [2025-03-14 06:19:41.998077]
2025-03-14T06:19:41.9984282Z Running cpp/NamedTensor_test 1/1 ... [2025-03-14 06:19:41.998162]
2025-03-14T06:19:41.9985122Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T06:19:41.9986011Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T06:19:41.9987714Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/Dict_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-5a3ddeb571917eb0.xml', '-x', '--reruns=2'] ... [2025-03-14 06:19:41.998483]
2025-03-14T06:19:41.9990365Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/Dimname_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-88394ae69caf2b91.xml', '-x', '--reruns=2'] ... [2025-03-14 06:19:41.998745]
2025-03-14T06:19:41.9992689Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/NamedTensor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-102f0f59b4530f0d.xml', '-x', '--reruns=2'] ... [2025-03-14 06:19:41.998783]
2025-03-14T06:19:46.2347786Z 
2025-03-14T06:19:46.2349593Z cpp/Dimname_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dimname_test_1.1_423816e71e5f60a8_.log
2025-03-14T06:19:46.2351189Z 
2025-03-14T06:19:46.7737798Z 
2025-03-14T06:19:46.7739595Z cpp/NamedTensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.NamedTensor_test_1.1_b5acf9b6d586e2a5_.log
2025-03-14T06:19:46.7741085Z 
2025-03-14T06:19:50.5905795Z Running cpp/apply_utils_test 1/1 ... [2025-03-14 06:19:50.589795]
2025-03-14T06:19:50.5906742Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T06:19:50.5909229Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/apply_utils_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-7bcf682df47a395a.xml', '-x', '--reruns=2'] ... [2025-03-14 06:19:50.590262]
2025-03-14T06:19:50.8356238Z Running cpp/atest 1/1 ... [2025-03-14 06:19:50.835172]
2025-03-14T06:19:50.8357001Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T06:19:50.8361460Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/atest', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-655c9d3e4a1b59ca.xml', '-x', '--reruns=2'] ... [2025-03-14 06:19:50.835656]
2025-03-14T06:19:53.0841793Z 
2025-03-14T06:19:53.0843015Z cpp/Dict_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dict_test_1.1_814600f935c1369e_.log
2025-03-14T06:19:53.0845864Z 
2025-03-14T06:19:54.4186295Z 
2025-03-14T06:19:54.4188041Z cpp/apply_utils_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.apply_utils_test_1.1_74989a68c77dd7c5_.log
2025-03-14T06:19:54.4189483Z 
2025-03-14T06:19:56.2220206Z 
2025-03-14T06:19:56.2221482Z cpp/atest 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.atest_1.1_b7432f6cd7cae775_.log
2025-03-14T06:19:56.2222522Z 
2025-03-14T06:19:57.0326989Z Running cpp/basic 1/1 ... [2025-03-14 06:19:57.032301]
2025-03-14T06:19:57.0327660Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T06:19:57.0331985Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/basic', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-e14c7caaf0287d75.xml', '-x', '--reruns=2'] ... [2025-03-14 06:19:57.032797]
2025-03-14T06:19:58.5134949Z Running cpp/broadcast_test 1/1 ... [2025-03-14 06:19:58.513128]
2025-03-14T06:19:58.5135491Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T06:19:58.5139063Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/broadcast_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-00f720457860e6e1.xml', '-x', '--reruns=2'] ... [2025-03-14 06:19:58.513613]
2025-03-14T06:20:00.3491583Z Running cpp/cpu_generator_test 1/1 ... [2025-03-14 06:20:00.348748]
2025-03-14T06:20:00.3492370Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T06:20:00.3495065Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cpu_generator_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-7414e88f5491d37e.xml', '-x', '--reruns=2'] ... [2025-03-14 06:20:00.349193]
2025-03-14T06:20:00.3533438Z 
2025-03-14T06:20:00.3534559Z cpp/basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.basic_1.1_46c70dc9133e3d6f_.log
2025-03-14T06:20:00.3535445Z 
2025-03-14T06:20:01.4833637Z 
2025-03-14T06:20:01.4835255Z cpp/broadcast_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.broadcast_test_1.1_1dda9afb5548b738_.log
2025-03-14T06:20:01.4836570Z 
2025-03-14T06:20:04.5716541Z 
2025-03-14T06:20:04.5718084Z cpp/cpu_generator_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.cpu_generator_test_1.1_c54d5bacdd40c043_.log
2025-03-14T06:20:04.5719459Z 
2025-03-14T06:20:04.7536644Z Running cpp/dlconvertor_test 1/1 ... [2025-03-14 06:20:04.753304]
2025-03-14T06:20:04.7537451Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T06:20:04.7540448Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/dlconvertor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-1acc7239f960bbfc.xml', '-x', '--reruns=2'] ... [2025-03-14 06:20:04.753727]
2025-03-14T06:20:05.7189628Z Running cpp/extension_backend_test 1/1 ... [2025-03-14 06:20:05.718533]
2025-03-14T06:20:05.7191007Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T06:20:05.7195038Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/extension_backend_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-eabde85f395bb278.xml', '-x', '--reruns=2'] ... [2025-03-14 06:20:05.719007]
2025-03-14T06:20:07.5734676Z 
2025-03-14T06:20:07.5736173Z cpp/dlconvertor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.dlconvertor_test_1.1_dca470550cc643dc_.log
2025-03-14T06:20:07.5736890Z 
2025-03-14T06:20:08.2884826Z 
2025-03-14T06:20:08.2886050Z cpp/extension_backend_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.extension_backend_test_1.1_2f40210fe4777243_.log
2025-03-14T06:20:08.2887011Z 
2025-03-14T06:20:08.5847606Z Running cpp/lazy_tensor_test 1/1 ... [2025-03-14 06:20:08.584339]
2025-03-14T06:20:08.5848440Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T06:20:08.5852191Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/lazy_tensor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-0c6558917982b91a.xml', '-x', '--reruns=2'] ... [2025-03-14 06:20:08.584847]
2025-03-14T06:20:11.0038557Z 
2025-03-14T06:20:11.0039822Z cpp/lazy_tensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.lazy_tensor_test_1.1_93d0d4aae845e02e_.log
2025-03-14T06:20:11.0040534Z 
2025-03-14T06:20:11.4781007Z Running cpp/legacy_vmap_test 1/1 ... [2025-03-14 06:20:11.477675]
2025-03-14T06:20:11.4781503Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T06:20:11.4784736Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/legacy_vmap_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-332db1094641c808.xml', '-x', '--reruns=2'] ... [2025-03-14 06:20:11.478101]
2025-03-14T06:20:12.3029329Z Running cpp/native_test 1/1 ... [2025-03-14 06:20:12.302481]
2025-03-14T06:20:12.3030432Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T06:20:12.3038363Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/native_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-6466bc76cfbb582e.xml', '-x', '--reruns=2'] ... [2025-03-14 06:20:12.303377]
2025-03-14T06:20:15.3092180Z Running cpp/operators_test 1/1 ... [2025-03-14 06:20:15.308784]
2025-03-14T06:20:15.3093068Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T06:20:15.3096481Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/operators_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-24adc3ecb71334ee.xml', '-x', '--reruns=2'] ... [2025-03-14 06:20:15.309263]
2025-03-14T06:20:15.3238161Z 
2025-03-14T06:20:15.3239514Z cpp/native_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.native_test_1.1_41e18104418d07fc_.log
2025-03-14T06:20:15.3240719Z 
2025-03-14T06:20:17.6540009Z 
2025-03-14T06:20:17.6541734Z cpp/legacy_vmap_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.legacy_vmap_test_1.1_aa412fd5151d5d35_.log
2025-03-14T06:20:17.6542839Z 
2025-03-14T06:20:18.4799550Z 
2025-03-14T06:20:18.4801028Z cpp/operators_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.operators_test_1.1_9bb5d5f421e9eb8b_.log
2025-03-14T06:20:18.4802707Z 
2025-03-14T06:20:19.5540606Z Running cpp/scalar_tensor_test 1/1 ... [2025-03-14 06:20:19.553669]
2025-03-14T06:20:19.5541360Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T06:20:19.5543594Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/scalar_tensor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-74e51ff5f47922b7.xml', '-x', '--reruns=2'] ... [2025-03-14 06:20:19.554085]
2025-03-14T06:20:21.4552524Z Running cpp/scalar_test 1/1 ... [2025-03-14 06:20:21.454789]
2025-03-14T06:20:21.4553274Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T06:20:21.4557053Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/scalar_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-7a41e1391213a9cc.xml', '-x', '--reruns=2'] ... [2025-03-14 06:20:21.455281]
2025-03-14T06:20:22.4213843Z Running cpp/tensor_iterator_test 1/1 ... [2025-03-14 06:20:22.420945]
2025-03-14T06:20:22.4214771Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T06:20:22.4218029Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/tensor_iterator_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-2d76d580714eb1a4.xml', '-x', '--reruns=2'] ... [2025-03-14 06:20:22.421409]
2025-03-14T06:20:22.4235418Z 
2025-03-14T06:20:22.4236887Z cpp/scalar_tensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.scalar_tensor_test_1.1_8d17994406ccdc62_.log
2025-03-14T06:20:22.4238365Z 
2025-03-14T06:20:24.7264587Z 
2025-03-14T06:20:24.7265982Z cpp/scalar_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.scalar_test_1.1_c7703c96e93bf3b5_.log
2025-03-14T06:20:24.7267376Z 
2025-03-14T06:20:26.7040860Z Running cpp/undefined_tensor_test 1/1 ... [2025-03-14 06:20:26.703609]
2025-03-14T06:20:26.7041854Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T06:20:26.7045843Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/undefined_tensor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-ea87cf44dad4e838.xml', '-x', '--reruns=2'] ... [2025-03-14 06:20:26.704148]
2025-03-14T06:20:28.7774174Z Running cpp/wrapdim_test 1/1 ... [2025-03-14 06:20:28.776992]
2025-03-14T06:20:28.7775005Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T06:20:28.7778568Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/wrapdim_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-f967b98d34e5009a.xml', '-x', '--reruns=2'] ... [2025-03-14 06:20:28.777471]
2025-03-14T06:20:29.8747446Z 
2025-03-14T06:20:29.8749326Z cpp/undefined_tensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.undefined_tensor_test_1.1_f660dfadc6551974_.log
2025-03-14T06:20:29.8753839Z 
2025-03-14T06:20:31.7978837Z 
2025-03-14T06:20:31.7980227Z cpp/wrapdim_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.wrapdim_test_1.1_c7a67763b2495855_.log
2025-03-14T06:20:31.7981391Z 
2025-03-14T06:20:35.1264274Z 
2025-03-14T06:20:35.1265433Z cpp/tensor_iterator_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.tensor_iterator_test_1.1_b319c10a78f57498_.log
2025-03-14T06:20:35.1266454Z 
2025-03-14T06:20:36.6167215Z Running test batch 'tests to run' cost 87.86 seconds
2025-03-14T06:20:37.3533826Z + run_if_exists tensor_interop_test
2025-03-14T06:20:37.3534515Z + local test_name=tensor_interop_test
2025-03-14T06:20:37.3535119Z + [[ -x build/bin/tensor_interop_test ]]
2025-03-14T06:20:37.3535830Z + echo 'Warning: tensor_interop_test does not exist.'
2025-03-14T06:20:37.3536439Z Warning: tensor_interop_test does not exist.
2025-03-14T06:20:37.3537291Z + run_if_exists cudnn_test
2025-03-14T06:20:37.3537782Z + local test_name=cudnn_test
2025-03-14T06:20:37.3538261Z + [[ -x build/bin/cudnn_test ]]
2025-03-14T06:20:37.3538962Z + echo 'Warning: cudnn_test does not exist.'
2025-03-14T06:20:37.3539757Z Warning: cudnn_test does not exist.
2025-03-14T06:20:37.3540320Z + run_if_exists cuda_generator_test
2025-03-14T06:20:37.3540947Z + local test_name=cuda_generator_test
2025-03-14T06:20:37.3541612Z + [[ -x build/bin/cuda_generator_test ]]
2025-03-14T06:20:37.3542194Z + echo 'Warning: cuda_generator_test does not exist.'
2025-03-14T06:20:37.3542877Z Warning: cuda_generator_test does not exist.
2025-03-14T06:20:37.3543395Z + run_if_exists apply_test
2025-03-14T06:20:37.3543819Z + local test_name=apply_test
2025-03-14T06:20:37.3544292Z + [[ -x build/bin/apply_test ]]
2025-03-14T06:20:37.3544733Z + echo 'Warning: apply_test does not exist.'
2025-03-14T06:20:37.3545102Z Warning: apply_test does not exist.
2025-03-14T06:20:37.3545513Z + run_if_exists stream_test
2025-03-14T06:20:37.3545821Z + local test_name=stream_test
2025-03-14T06:20:37.3546133Z + [[ -x build/bin/stream_test ]]
2025-03-14T06:20:37.3546482Z + echo 'Warning: stream_test does not exist.'
2025-03-14T06:20:37.3546855Z Warning: stream_test does not exist.
2025-03-14T06:20:37.3547194Z + run_if_exists cuda_half_test
2025-03-14T06:20:37.3547507Z + local test_name=cuda_half_test
2025-03-14T06:20:37.3547826Z + [[ -x build/bin/cuda_half_test ]]
2025-03-14T06:20:37.3548187Z + echo 'Warning: cuda_half_test does not exist.'
2025-03-14T06:20:37.3548571Z Warning: cuda_half_test does not exist.
2025-03-14T06:20:37.3548913Z + run_if_exists cuda_vectorized_test
2025-03-14T06:20:37.3549265Z + local test_name=cuda_vectorized_test
2025-03-14T06:20:37.3549621Z + [[ -x build/bin/cuda_vectorized_test ]]
2025-03-14T06:20:37.3550022Z + echo 'Warning: cuda_vectorized_test does not exist.'
2025-03-14T06:20:37.3550450Z Warning: cuda_vectorized_test does not exist.
2025-03-14T06:20:37.3550836Z + run_if_exists cuda_distributions_test
2025-03-14T06:20:37.3551204Z + local test_name=cuda_distributions_test
2025-03-14T06:20:37.3551583Z + [[ -x build/bin/cuda_distributions_test ]]
2025-03-14T06:20:37.3552011Z + echo 'Warning: cuda_distributions_test does not exist.'
2025-03-14T06:20:37.3552519Z Warning: cuda_distributions_test does not exist.
2025-03-14T06:20:37.3552907Z + run_if_exists cuda_optional_test
2025-03-14T06:20:37.3553247Z + local test_name=cuda_optional_test
2025-03-14T06:20:37.3553596Z + [[ -x build/bin/cuda_optional_test ]]
2025-03-14T06:20:37.3553986Z + echo 'Warning: cuda_optional_test does not exist.'
2025-03-14T06:20:37.3554395Z Warning: cuda_optional_test does not exist.
2025-03-14T06:20:37.3554771Z + run_if_exists cuda_tensor_interop_test
2025-03-14T06:20:37.3555226Z + local test_name=cuda_tensor_interop_test
2025-03-14T06:20:37.3555609Z + [[ -x build/bin/cuda_tensor_interop_test ]]
2025-03-14T06:20:37.3556161Z + echo 'Warning: cuda_tensor_interop_test does not exist.'
2025-03-14T06:20:37.3556610Z Warning: cuda_tensor_interop_test does not exist.
2025-03-14T06:20:37.3557005Z + run_if_exists cuda_complex_test
2025-03-14T06:20:37.3557344Z + local test_name=cuda_complex_test
2025-03-14T06:20:37.3557696Z + [[ -x build/bin/cuda_complex_test ]]
2025-03-14T06:20:37.3558081Z + echo 'Warning: cuda_complex_test does not exist.'
2025-03-14T06:20:37.3558486Z Warning: cuda_complex_test does not exist.
2025-03-14T06:20:37.3558854Z + run_if_exists cuda_complex_math_test
2025-03-14T06:20:37.3559208Z + local test_name=cuda_complex_math_test
2025-03-14T06:20:37.3559589Z + [[ -x build/bin/cuda_complex_math_test ]]
2025-03-14T06:20:37.3560001Z + echo 'Warning: cuda_complex_math_test does not exist.'
2025-03-14T06:20:37.3560437Z Warning: cuda_complex_math_test does not exist.
2025-03-14T06:20:37.3560815Z + run_if_exists cuda_cub_test
2025-03-14T06:20:37.3561139Z + local test_name=cuda_cub_test
2025-03-14T06:20:37.3561461Z + [[ -x build/bin/cuda_cub_test ]]
2025-03-14T06:20:37.3561866Z + echo 'Warning: cuda_cub_test does not exist.'
2025-03-14T06:20:37.3562252Z Warning: cuda_cub_test does not exist.
2025-03-14T06:20:37.3562605Z + run_if_exists cuda_atomic_ops_test
2025-03-14T06:20:37.3562988Z + local test_name=cuda_atomic_ops_test
2025-03-14T06:20:37.3563367Z + [[ -x build/bin/cuda_atomic_ops_test ]]
2025-03-14T06:20:37.3563764Z + echo 'Warning: cuda_atomic_ops_test does not exist.'
2025-03-14T06:20:37.3564183Z Warning: cuda_atomic_ops_test does not exist.
2025-03-14T06:20:37.3564536Z + '[' ON == ON ']'
2025-03-14T06:20:37.3565266Z + valgrind --suppressions=/var/lib/jenkins/workspace/aten/tools/valgrind.sup --error-exitcode=1 build/bin/basic '--gtest_filter=-*CUDA'
2025-03-14T06:20:37.3900945Z ==24508== Memcheck, a memory error detector
2025-03-14T06:20:37.3901454Z ==24508== Copyright (C) 2002-2022, and GNU GPL'd, by Julian Seward et al.
2025-03-14T06:20:37.3902077Z ==24508== Using Valgrind-3.20.0 and LibVEX; rerun with -h for copyright info
2025-03-14T06:20:37.3902616Z ==24508== Command: build/bin/basic --gtest_filter=-*CUDA
2025-03-14T06:20:37.3903005Z ==24508== 
2025-03-14T06:20:37.9137599Z ==24508== Warning: set address range perms: large range [0x4a08000, 0x15af9000) (defined)
2025-03-14T06:21:06.7678798Z Running main() from ../third_party/googletest/googletest/src/gtest_main.cc
2025-03-14T06:21:06.7958108Z Note: Google Test filter = -*CUDA
2025-03-14T06:21:06.8004352Z [==========] Running 4 tests from 1 test suite.
2025-03-14T06:21:06.8031371Z [----------] Global test environment set-up.
2025-03-14T06:21:06.8102720Z [----------] 4 tests from BasicTest
2025-03-14T06:21:06.8126848Z [ RUN      ] BasicTest.BasicTestCPU
2025-03-14T06:21:08.2320526Z    381 ms
2025-03-14T06:21:08.3162655Z    53 ms
2025-03-14T06:21:08.3901460Z    65 ms
2025-03-14T06:21:08.9986809Z [       OK ] BasicTest.BasicTestCPU (2183 ms)
2025-03-14T06:21:08.9995554Z [ RUN      ] BasicTest.BasicTestHalfCPU
2025-03-14T06:21:09.1697076Z    126 ms
2025-03-14T06:21:09.2199428Z    45 ms
2025-03-14T06:21:09.2863091Z    64 ms
2025-03-14T06:21:09.3400579Z [       OK ] BasicTest.BasicTestHalfCPU (340 ms)
2025-03-14T06:21:09.3401037Z [ RUN      ] BasicTest.FactoryMethodsTest
2025-03-14T06:21:09.3725531Z [       OK ] BasicTest.FactoryMethodsTest (32 ms)
2025-03-14T06:21:09.3725970Z [ RUN      ] BasicTest.BasicStdTestCPU
2025-03-14T06:21:09.4560443Z Simple example: called once
2025-03-14T06:21:09.5472334Z throw: call_once will retry
2025-03-14T06:21:09.5893738Z throw: call_once will retry
2025-03-14T06:21:09.5897316Z Didn't throw, call_once will not attempt again
2025-03-14T06:21:09.5918409Z [       OK ] BasicTest.BasicStdTestCPU (219 ms)
2025-03-14T06:21:09.5942602Z [----------] 4 tests from BasicTest (2780 ms total)
2025-03-14T06:21:09.5942896Z 
2025-03-14T06:21:09.5956635Z [----------] Global test environment tear-down
2025-03-14T06:21:09.5988529Z [==========] 4 tests from 1 test suite ran. (2806 ms total)
2025-03-14T06:21:09.5999348Z [  PASSED  ] 4 tests.
2025-03-14T06:21:11.3976967Z ==24508== 
2025-03-14T06:21:11.3980545Z ==24508== HEAP SUMMARY:
2025-03-14T06:21:11.3981000Z ==24508==     in use at exit: 240,152 bytes in 3,996 blocks
2025-03-14T06:21:11.3981575Z ==24508==   total heap usage: 754,422 allocs, 750,426 frees, 215,171,963 bytes allocated
2025-03-14T06:21:11.3982072Z ==24508== 
2025-03-14T06:21:11.4360495Z ==24508== LEAK SUMMARY:
2025-03-14T06:21:11.4360915Z ==24508==    definitely lost: 0 bytes in 0 blocks
2025-03-14T06:21:11.4361323Z ==24508==    indirectly lost: 0 bytes in 0 blocks
2025-03-14T06:21:11.4362577Z ==24508==      possibly lost: 0 bytes in 0 blocks
2025-03-14T06:21:11.4363110Z ==24508==    still reachable: 240,152 bytes in 3,996 blocks
2025-03-14T06:21:11.4363546Z ==24508==         suppressed: 0 bytes in 0 blocks
2025-03-14T06:21:11.4364027Z ==24508== Rerun with --leak-check=full to see details of leaked memory
2025-03-14T06:21:11.4364465Z ==24508== 
2025-03-14T06:21:11.4364834Z ==24508== For lists of detected and suppressed errors, rerun with: -s
2025-03-14T06:21:11.4365392Z ==24508== ERROR SUMMARY: 0 errors from 0 contexts (suppressed: 0 from 0)
2025-03-14T06:21:11.4806478Z + [[ -x build/bin/tensor_interop_test ]]
2025-03-14T06:21:11.4808031Z + [[ -n '' ]]
2025-03-14T06:21:11.4808296Z + assert_git_not_dirty
2025-03-14T06:21:11.4808797Z + [[ linux-focal-py3.13-clang10 != *rocm* ]]
2025-03-14T06:21:11.4809247Z + [[ linux-focal-py3.13-clang10 != *xla* ]]
2025-03-14T06:21:11.4815453Z ++ git status --porcelain
2025-03-14T06:21:11.4816210Z ++ grep -v '?? third_party'
2025-03-14T06:21:11.7074491Z ++ true
2025-03-14T06:21:11.7075949Z + git_status=
2025-03-14T06:21:11.7076219Z + [[ -n '' ]]
2025-03-14T06:21:11.7076473Z + test_libtorch 1
2025-03-14T06:21:11.7090349Z + local SHARD=1
2025-03-14T06:21:11.7090727Z + [[ crossref != \s\l\o\w ]]
2025-03-14T06:21:11.7091046Z + echo 'Testing libtorch'
2025-03-14T06:21:11.7091339Z Testing libtorch
2025-03-14T06:21:11.7092305Z + ln -sf /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libbackend_with_compiler.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/bin
2025-03-14T06:21:11.7101468Z + ln -sf /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libjitbackend_test.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/bin
2025-03-14T06:21:11.7111199Z + ln -sf /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libcaffe2_nvrtc.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/bin
2025-03-14T06:21:11.7121690Z + ln -sf /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libc10.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/bin
2025-03-14T06:21:11.7130950Z + ln -sf /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libshm.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/bin
2025-03-14T06:21:11.7142561Z + ln -sf /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libtorch.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libtorch_cpu.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libtorch_global_deps.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libtorch_python.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libtorchbind_test.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/bin
2025-03-14T06:21:11.7151236Z + ln -sf '/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libnvfuser*' /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/bin
2025-03-14T06:21:11.7159716Z + export CPP_TESTS_DIR=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/bin
2025-03-14T06:21:11.7160636Z + CPP_TESTS_DIR=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/bin
2025-03-14T06:21:11.7161121Z + [[ -z 1 ]]
2025-03-14T06:21:11.7161354Z + [[ 1 == \1 ]]
2025-03-14T06:21:11.7161607Z + test_libtorch_api
2025-03-14T06:21:11.7168913Z + MNIST_DIR=/var/lib/jenkins/workspace/test/cpp/api/mnist
2025-03-14T06:21:11.7169770Z + python tools/download_mnist.py --quiet -d /var/lib/jenkins/workspace/test/cpp/api/mnist
2025-03-14T06:21:11.7639212Z Downloading http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz ...
2025-03-14T06:21:11.8259875Z Failed to download (trying next):
2025-03-14T06:21:11.8260284Z HTTP Error 404: Not Found
2025-03-14T06:21:11.8260923Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/train-images-idx3-ubyte.gz ...
2025-03-14T06:21:12.1457676Z Downloading http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz ...
2025-03-14T06:21:12.1507177Z Failed to download (trying next):
2025-03-14T06:21:12.1507597Z HTTP Error 404: Not Found
2025-03-14T06:21:12.1508193Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/train-labels-idx1-ubyte.gz ...
2025-03-14T06:21:12.1818675Z Downloading http://yann.lecun.com/exdb/mnist/t10k-images-idx3-ubyte.gz ...
2025-03-14T06:21:12.1871000Z Failed to download (trying next):
2025-03-14T06:21:12.1871412Z HTTP Error 404: Not Found
2025-03-14T06:21:12.1871958Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/t10k-images-idx3-ubyte.gz ...
2025-03-14T06:21:12.2606668Z Downloading http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz ...
2025-03-14T06:21:12.2656654Z Failed to download (trying next):
2025-03-14T06:21:12.2657065Z HTTP Error 404: Not Found
2025-03-14T06:21:12.2657769Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/t10k-labels-idx1-ubyte.gz ...
2025-03-14T06:21:12.3069414Z + [[ linux-focal-py3.13-clang10 == *asan* ]]
2025-03-14T06:21:12.3069877Z + [[ linux-focal-py3.13-clang10 == *slow-gradcheck* ]]
2025-03-14T06:21:12.3070274Z + OMP_NUM_THREADS=2
2025-03-14T06:21:12.3070686Z + TORCH_CPP_TEST_MNIST_PATH=/var/lib/jenkins/workspace/test/cpp/api/mnist
2025-03-14T06:21:12.3071328Z + python test/run_test.py --cpp --verbose -i cpp/test_api -k 'not IMethodTest'
2025-03-14T06:21:12.4084061Z /var/lib/jenkins/workspace/test/run_test.py:24: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html
2025-03-14T06:21:12.4085005Z   import pkg_resources
2025-03-14T06:21:16.1516861Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-03-14T06:21:16.1687291Z Found test times from artifacts
2025-03-14T06:21:16.2382670Z Found test times from artifacts
2025-03-14T06:21:16.2406621Z Running all tests
2025-03-14T06:21:16.2410110Z Running parallel tests on 3 processes
2025-03-14T06:21:16.2410535Z Name: tests to run (est. time: 0.0min)
2025-03-14T06:21:16.2410864Z   Serial tests (0):
2025-03-14T06:21:16.2411145Z   Parallel tests (1):
2025-03-14T06:21:16.2411432Z     cpp/test_api 1/1
2025-03-14T06:21:16.2411722Z Name: excluded (est. time: 0.0min)
2025-03-14T06:21:16.2412045Z   Serial tests (0):
2025-03-14T06:21:16.2412311Z   Parallel tests (0):
2025-03-14T06:21:16.2469340Z Running cpp/test_api 1/1 ... [2025-03-14 06:21:16.246599]
2025-03-14T06:21:16.2470134Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T06:21:16.2476772Z Executing ['pytest', '/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/bin/test_api', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-e986a72bf5fe7c8d.xml', '-k', 'not IMethodTest', '-x', '--reruns=2'] ... [2025-03-14 06:21:16.247233]
2025-03-14T06:21:19.2677417Z 
2025-03-14T06:21:19.2678397Z cpp/test_api 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.test_api_1.1_089787ac68b69182_.log
2025-03-14T06:21:19.2679049Z 
2025-03-14T06:21:19.2682474Z Running cpp/test_api 1/1 ... [2025-03-14 06:21:19.268053]
2025-03-14T06:21:19.2682906Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T06:21:19.2687466Z Executing ['pytest', '/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/bin/test_api', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-6b133f0b956f89ea.xml', '-k', 'not IMethodTest', '-x', '--reruns=2'] ... [2025-03-14 06:21:19.268512]
2025-03-14T06:23:45.9431777Z 
2025-03-14T06:23:45.9433393Z cpp/test_api 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.test_api_1.1_41c92003b94f2457_.log
2025-03-14T06:23:45.9446330Z 
2025-03-14T06:23:46.7545999Z Running test batch 'tests to run' cost 150.51 seconds
2025-03-14T06:23:47.4213782Z + [[ linux-focal-py3.13-clang10 != *s390x* ]]
2025-03-14T06:23:47.4214358Z + python test/run_test.py --cpp --verbose -i cpp/test_tensorexpr
2025-03-14T06:23:47.5237732Z /var/lib/jenkins/workspace/test/run_test.py:24: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html
2025-03-14T06:23:47.5238690Z   import pkg_resources
2025-03-14T06:23:51.2193769Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-03-14T06:23:51.2364733Z Found test times from artifacts
2025-03-14T06:23:51.3065434Z Found test times from artifacts
2025-03-14T06:23:51.3090726Z Running all tests
2025-03-14T06:23:51.3094286Z Running parallel tests on 3 processes
2025-03-14T06:23:51.3095635Z Name: tests to run (est. time: 0.0min)
2025-03-14T06:23:51.3096177Z   Serial tests (0):
2025-03-14T06:23:51.3096573Z   Parallel tests (1):
2025-03-14T06:23:51.3096998Z     cpp/test_tensorexpr 1/1
2025-03-14T06:23:51.3097639Z Name: excluded (est. time: 0.0min)
2025-03-14T06:23:51.3098204Z   Serial tests (0):
2025-03-14T06:23:51.3098601Z   Parallel tests (0):
2025-03-14T06:23:51.3150165Z Running cpp/test_tensorexpr 1/1 ... [2025-03-14 06:23:51.314722]
2025-03-14T06:23:51.3151014Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T06:23:51.3157002Z Executing ['pytest', '/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/bin/test_tensorexpr', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-be5abc1cf3ec80b8.xml', '-x', '--reruns=2'] ... [2025-03-14 06:23:51.315295]
2025-03-14T06:23:53.7849490Z 
2025-03-14T06:23:53.7850925Z cpp/test_tensorexpr 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.test_tensorexpr_1.1_4be626e658aa7306_.log
2025-03-14T06:23:53.7852190Z 
2025-03-14T06:23:54.3761844Z Running cpp/test_tensorexpr 1/1 ... [2025-03-14 06:23:54.375769]
2025-03-14T06:23:54.3762729Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T06:23:54.3766290Z Executing ['pytest', '/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/bin/test_tensorexpr', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-b558dd1d750c8080.xml', '-x', '--reruns=2'] ... [2025-03-14 06:23:54.376243]
2025-03-14T06:25:49.2316045Z 
2025-03-14T06:25:49.2318747Z cpp/test_tensorexpr 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.test_tensorexpr_1.1_dc353ddfbd0ab094_.log
2025-03-14T06:25:49.2330683Z 
2025-03-14T06:25:50.0670656Z Running test batch 'tests to run' cost 118.76 seconds
2025-03-14T06:25:50.8091997Z + [[ linux-focal-py3.13-clang10 != *android* ]]
2025-03-14T06:25:50.8092462Z + [[ linux-focal-py3.13-clang10 != *cuda* ]]
2025-03-14T06:25:50.8092855Z + [[ linux-focal-py3.13-clang10 != *asan* ]]
2025-03-14T06:25:50.8093242Z + [[ linux-focal-py3.13-clang10 != *s390x* ]]
2025-03-14T06:25:50.8093623Z + export CPP_TESTS_DIR=build/bin
2025-03-14T06:25:50.8093963Z + CPP_TESTS_DIR=build/bin
2025-03-14T06:25:50.8094389Z + python test/run_test.py --cpp --verbose -i cpp/static_runtime_test
2025-03-14T06:25:50.9130016Z /var/lib/jenkins/workspace/test/run_test.py:24: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html
2025-03-14T06:25:50.9130944Z   import pkg_resources
2025-03-14T06:25:54.6412202Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-03-14T06:25:54.6583009Z Found test times from artifacts
2025-03-14T06:25:54.7278830Z Found test times from artifacts
2025-03-14T06:25:54.7302277Z Running all tests
2025-03-14T06:25:54.7305043Z Running parallel tests on 3 processes
2025-03-14T06:25:54.7306259Z Name: tests to run (est. time: 0.0min)
2025-03-14T06:25:54.7306754Z   Serial tests (0):
2025-03-14T06:25:54.7307081Z   Parallel tests (1):
2025-03-14T06:25:54.7307427Z     cpp/static_runtime_test 1/1
2025-03-14T06:25:54.7308070Z Name: excluded (est. time: 0.0min)
2025-03-14T06:25:54.7308646Z   Serial tests (0):
2025-03-14T06:25:54.7308920Z   Parallel tests (0):
2025-03-14T06:25:54.7359207Z Running cpp/static_runtime_test 1/1 ... [2025-03-14 06:25:54.735597]
2025-03-14T06:25:54.7360078Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T06:25:54.7365780Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/static_runtime_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-5447f47321d9fef1.xml', '-x', '--reruns=2'] ... [2025-03-14 06:25:54.736173]
2025-03-14T06:25:57.2056395Z 
2025-03-14T06:25:57.2058001Z cpp/static_runtime_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.static_runtime_test_1.1_ab682890b1ccbaaf_.log
2025-03-14T06:25:57.2059653Z 
2025-03-14T06:25:57.7839437Z Running cpp/static_runtime_test 1/1 ... [2025-03-14 06:25:57.783498]
2025-03-14T06:25:57.7840619Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-03-14T06:25:57.7843237Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/static_runtime_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-1e9f91889440b87c.xml', '-x', '--reruns=2'] ... [2025-03-14 06:25:57.783975]
2025-03-14T06:38:28.8049660Z 
2025-03-14T06:38:28.8050655Z cpp/static_runtime_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.static_runtime_test_1.1_0cead430a7fdb494_.log
2025-03-14T06:38:28.8054465Z 
2025-03-14T06:38:29.5804349Z Running test batch 'tests to run' cost 754.85 seconds
2025-03-14T06:38:30.2395086Z + [[ -z 1 ]]
2025-03-14T06:38:30.2395541Z + [[ 1 == \2 ]]
2025-03-14T06:38:30.2395902Z + assert_git_not_dirty
2025-03-14T06:38:30.2396336Z + [[ linux-focal-py3.13-clang10 != *rocm* ]]
2025-03-14T06:38:30.2396868Z + [[ linux-focal-py3.13-clang10 != *xla* ]]
2025-03-14T06:38:30.2401697Z ++ git status --porcelain
2025-03-14T06:38:30.2402314Z ++ grep -v '?? third_party'
2025-03-14T06:38:30.4645782Z ++ true
2025-03-14T06:38:30.4646704Z + git_status=
2025-03-14T06:38:30.4647173Z + [[ -n '' ]]
2025-03-14T06:38:30.4651964Z + [[ linux-focal-py3.13-clang10 == *xpu* ]]
2025-03-14T06:38:30.4680740Z + cleanup_workspace
2025-03-14T06:38:30.4681687Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.'
2025-03-14T06:38:30.4683116Z sudo may print the following warning message that can be ignored. The chown command will still run.
2025-03-14T06:38:30.4684022Z + echo '    sudo: setrlimit(RLIMIT_STACK): Operation not permitted'
2025-03-14T06:38:30.4684618Z     sudo: setrlimit(RLIMIT_STACK): Operation not permitted
2025-03-14T06:38:30.4685263Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42'
2025-03-14T06:38:30.4685964Z For more details refer to https://github.com/sudo-project/sudo/issues/42
2025-03-14T06:38:30.4686488Z + sudo chown -R 1000 /var/lib/jenkins/workspace
2025-03-14T06:38:32.5118797Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main
2025-03-14T06:38:32.5119317Z with:
2025-03-14T06:38:32.5119599Z   benchmark-results-dir: test/test-reports
2025-03-14T06:38:32.5119961Z   dry-run: false
2025-03-14T06:38:32.5120226Z   schema-version: v3
2025-03-14T06:38:32.5120766Z   github-token: ***
2025-03-14T06:38:32.5121029Z env:
2025-03-14T06:38:32.5121278Z   GIT_DEFAULT_BRANCH: main
2025-03-14T06:38:32.5121785Z   DOCKER_CONTAINER_ID: 816cc0d6e32ef77e87562d1c825fdb4d864bd2052c5e3e80ce1789fec4b71c73
2025-03-14T06:38:32.5122324Z ##[endgroup]
2025-03-14T06:38:32.5159976Z ##[group]Run set -eux
2025-03-14T06:38:32.5160283Z set -eux
2025-03-14T06:38:32.5160581Z python3 -mpip install boto3==1.35.33
2025-03-14T06:38:32.5335937Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-14T06:38:32.5336368Z env:
2025-03-14T06:38:32.5336620Z   GIT_DEFAULT_BRANCH: main
2025-03-14T06:38:32.5337191Z   DOCKER_CONTAINER_ID: 816cc0d6e32ef77e87562d1c825fdb4d864bd2052c5e3e80ce1789fec4b71c73
2025-03-14T06:38:32.5337741Z ##[endgroup]
2025-03-14T06:38:32.5368783Z + python3 -mpip install boto3==1.35.33
2025-03-14T06:38:33.2558142Z Defaulting to user installation because normal site-packages is not writeable
2025-03-14T06:38:33.2856086Z Requirement already satisfied: boto3==1.35.33 in /home/ec2-user/.local/lib/python3.9/site-packages (1.35.33)
2025-03-14T06:38:33.2914440Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /usr/lib/python3.9/site-packages (from boto3==1.35.33) (0.10.0)
2025-03-14T06:38:33.2918990Z Requirement already satisfied: s3transfer<0.11.0,>=0.10.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from boto3==1.35.33) (0.10.4)
2025-03-14T06:38:33.2924715Z Requirement already satisfied: botocore<1.36.0,>=1.35.33 in /home/ec2-user/.local/lib/python3.9/site-packages (from boto3==1.35.33) (1.35.99)
2025-03-14T06:38:33.2984382Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.25.10)
2025-03-14T06:38:33.2989531Z Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /home/ec2-user/.local/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (2.8.2)
2025-03-14T06:38:33.3038955Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil<3.0.0,>=2.1->botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.15.0)
2025-03-14T06:38:33.5335075Z ##[group]Run set -eux
2025-03-14T06:38:33.5335598Z set -eux
2025-03-14T06:38:33.5336046Z 
2025-03-14T06:38:33.5336486Z if [[ -z "${GITHUB_TOKEN}" ]]; then
2025-03-14T06:38:33.5337114Z   echo "Missing github-token input"
2025-03-14T06:38:33.5337748Z   exit 1
2025-03-14T06:38:33.5338142Z fi
2025-03-14T06:38:33.5346528Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-14T06:38:33.5346947Z env:
2025-03-14T06:38:33.5347186Z   GIT_DEFAULT_BRANCH: main
2025-03-14T06:38:33.5347716Z   DOCKER_CONTAINER_ID: 816cc0d6e32ef77e87562d1c825fdb4d864bd2052c5e3e80ce1789fec4b71c73
2025-03-14T06:38:33.5348517Z   GITHUB_TOKEN: ***
2025-03-14T06:38:33.5348766Z ##[endgroup]
2025-03-14T06:38:33.5377368Z + [[ -z *** ]]
2025-03-14T06:38:33.5455302Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main
2025-03-14T06:38:33.5455775Z with:
2025-03-14T06:38:33.5456171Z   github-token: ***
2025-03-14T06:38:33.5456432Z env:
2025-03-14T06:38:33.5456673Z   GIT_DEFAULT_BRANCH: main
2025-03-14T06:38:33.5457178Z   DOCKER_CONTAINER_ID: 816cc0d6e32ef77e87562d1c825fdb4d864bd2052c5e3e80ce1789fec4b71c73
2025-03-14T06:38:33.5457715Z ##[endgroup]
2025-03-14T06:38:33.5480993Z ##[group]Run set -eux
2025-03-14T06:38:33.5481289Z set -eux
2025-03-14T06:38:33.5481553Z 
2025-03-14T06:38:33.5482074Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-03-14T06:38:33.5487653Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-14T06:38:33.5488081Z env:
2025-03-14T06:38:33.5488313Z   GIT_DEFAULT_BRANCH: main
2025-03-14T06:38:33.5488816Z   DOCKER_CONTAINER_ID: 816cc0d6e32ef77e87562d1c825fdb4d864bd2052c5e3e80ce1789fec4b71c73
2025-03-14T06:38:33.5489553Z   GITHUB_TOKEN: ***
2025-03-14T06:38:33.5489819Z ##[endgroup]
2025-03-14T06:38:33.5513652Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 13849515290 i-027acbcd25a060095
2025-03-14T06:38:36.1585732Z setting job-id=38754600129
2025-03-14T06:38:36.1586754Z setting job-name=linux-focal-py3.13-clang10 / test (crossref, 1, 2, lf.linux.2xlarge)
2025-03-14T06:38:36.1698957Z ##[group]Run set -eux
2025-03-14T06:38:36.1699284Z set -eux
2025-03-14T06:38:36.1699542Z 
2025-03-14T06:38:36.1699970Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \
2025-03-14T06:38:36.1700551Z   --schema-version "${SCHEMA_VERSION}" \
2025-03-14T06:38:36.1700947Z   --repo "${REPO}" \
2025-03-14T06:38:36.1701280Z   --head-branch "${HEAD_BRANCH}" \
2025-03-14T06:38:36.1701644Z   --head-sha "${HEAD_SHA}" \
2025-03-14T06:38:36.1702016Z   --workflow-id "${WORKFLOW_RUN_ID}" \
2025-03-14T06:38:36.1702406Z   --run-attempt "${RUN_ATTEMPT}" \
2025-03-14T06:38:36.1702767Z   --job-id "${JOB_ID}" \
2025-03-14T06:38:36.1703099Z   --job-name "${JOB_NAME}"
2025-03-14T06:38:36.1709525Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-14T06:38:36.1709946Z env:
2025-03-14T06:38:36.1710178Z   GIT_DEFAULT_BRANCH: main
2025-03-14T06:38:36.1710682Z   DOCKER_CONTAINER_ID: 816cc0d6e32ef77e87562d1c825fdb4d864bd2052c5e3e80ce1789fec4b71c73
2025-03-14T06:38:36.1711334Z   SCHEMA_VERSION: v3
2025-03-14T06:38:36.1711621Z   REPO: pytorch/pytorch
2025-03-14T06:38:36.1711921Z   HEAD_BRANCH: refs/heads/main
2025-03-14T06:38:36.1712294Z   HEAD_SHA: aed0b7a742a2d7b7901790622829cbd2135049a4
2025-03-14T06:38:36.1712740Z   WORKFLOW_RUN_ID: 13849515290
2025-03-14T06:38:36.1713042Z   RUN_ATTEMPT: 1
2025-03-14T06:38:36.1713308Z   JOB_ID: 38754600129
2025-03-14T06:38:36.1713742Z   JOB_NAME: linux-focal-py3.13-clang10 / test (crossref, 1, 2, lf.linux.2xlarge)
2025-03-14T06:38:36.1714235Z ##[endgroup]
2025-03-14T06:38:36.1740200Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_metadata.py --schema-version v3 --repo pytorch/pytorch --head-branch refs/heads/main --head-sha aed0b7a742a2d7b7901790622829cbd2135049a4 --workflow-id 13849515290 --run-attempt 1 --job-id 38754600129 --job-name 'linux-focal-py3.13-clang10 / test (crossref, 1, 2, lf.linux.2xlarge)'
2025-03-14T06:38:36.2064902Z ##[group]Run set -eux
2025-03-14T06:38:36.2065214Z set -eux
2025-03-14T06:38:36.2065474Z 
2025-03-14T06:38:36.2065757Z # TODO (huydhn): Implement this part
2025-03-14T06:38:36.2066195Z echo "runners=[]" >> "${GITHUB_OUTPUT}"
2025-03-14T06:38:36.2072240Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-14T06:38:36.2072676Z env:
2025-03-14T06:38:36.2072919Z   GIT_DEFAULT_BRANCH: main
2025-03-14T06:38:36.2073433Z   DOCKER_CONTAINER_ID: 816cc0d6e32ef77e87562d1c825fdb4d864bd2052c5e3e80ce1789fec4b71c73
2025-03-14T06:38:36.2073988Z ##[endgroup]
2025-03-14T06:38:36.2097663Z + echo 'runners=[]'
2025-03-14T06:38:36.2126920Z ##[group]Run set -eux
2025-03-14T06:38:36.2127221Z set -eux
2025-03-14T06:38:36.2127473Z 
2025-03-14T06:38:36.2127757Z # TODO (huydhn): Implement this part
2025-03-14T06:38:36.2128188Z echo "dependencies={}" >> "${GITHUB_OUTPUT}"
2025-03-14T06:38:36.2133427Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-14T06:38:36.2133845Z env:
2025-03-14T06:38:36.2134091Z   GIT_DEFAULT_BRANCH: main
2025-03-14T06:38:36.2134760Z   DOCKER_CONTAINER_ID: 816cc0d6e32ef77e87562d1c825fdb4d864bd2052c5e3e80ce1789fec4b71c73
2025-03-14T06:38:36.2135312Z ##[endgroup]
2025-03-14T06:38:36.2156083Z + echo 'dependencies={}'
2025-03-14T06:38:36.2184448Z ##[group]Run set -eux
2025-03-14T06:38:36.2184752Z set -eux
2025-03-14T06:38:36.2185007Z 
2025-03-14T06:38:36.2185309Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then
2025-03-14T06:38:36.2185787Z   echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping"
2025-03-14T06:38:36.2186316Z   # We don't want the job to fail if the directory doesn't exist
2025-03-14T06:38:36.2186740Z   exit 0
2025-03-14T06:38:36.2186988Z fi
2025-03-14T06:38:36.2187222Z 
2025-03-14T06:38:36.2187484Z if [[ "${DRY_RUN}" == "true" ]]; then
2025-03-14T06:38:36.2188013Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-03-14T06:38:36.2188616Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-03-14T06:38:36.2189099Z     --metadata "${BENCHMARK_METADATA}" \
2025-03-14T06:38:36.2189492Z     --runners "${RUNNER_INFO}" \
2025-03-14T06:38:36.2189873Z     --dependencies "${DEPENDENCIES}" \
2025-03-14T06:38:36.2190239Z     --dry-run
2025-03-14T06:38:36.2190520Z else
2025-03-14T06:38:36.2190924Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-03-14T06:38:36.2191517Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-03-14T06:38:36.2191982Z     --metadata "${BENCHMARK_METADATA}" \
2025-03-14T06:38:36.2192372Z     --runners "${RUNNER_INFO}" \
2025-03-14T06:38:36.2192751Z     --dependencies "${DEPENDENCIES}"
2025-03-14T06:38:36.2193190Z fi
2025-03-14T06:38:36.2198259Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-14T06:38:36.2198678Z env:
2025-03-14T06:38:36.2198928Z   GIT_DEFAULT_BRANCH: main
2025-03-14T06:38:36.2199441Z   DOCKER_CONTAINER_ID: 816cc0d6e32ef77e87562d1c825fdb4d864bd2052c5e3e80ce1789fec4b71c73
2025-03-14T06:38:36.2200130Z   BENCHMARK_RESULTS_DIR: test/test-reports
2025-03-14T06:38:36.2200483Z   DRY_RUN: false
2025-03-14T06:38:36.2201845Z   BENCHMARK_METADATA: {"timestamp": 1741934316, "schema_version": "v3", "name": "linux-focal-py3.13-clang10 / test (crossref, 1, 2, lf.linux.2xlarge)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "aed0b7a742a2d7b7901790622829cbd2135049a4", "workflow_id": 13849515290, "run_attempt": 1, "job_id": 38754600129}
2025-03-14T06:38:36.2203265Z   RUNNER_INFO: []
2025-03-14T06:38:36.2203530Z   DEPENDENCIES: {}
2025-03-14T06:38:36.2203792Z ##[endgroup]
2025-03-14T06:38:36.2224404Z + [[ ! -d test/test-reports ]]
2025-03-14T06:38:36.2224750Z + [[ false == \t\r\u\e ]]
2025-03-14T06:38:36.2227192Z + python3 /home/ec2-user/actions-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": 1741934316, "schema_version": "v3", "name": "linux-focal-py3.13-clang10 / test (crossref, 1, 2, lf.linux.2xlarge)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "aed0b7a742a2d7b7901790622829cbd2135049a4", "workflow_id": 13849515290, "run_attempt": 1, "job_id": 38754600129}' --runners '[]' --dependencies '{}'
2025-03-14T06:38:36.5133967Z ##[group]Run cat test/**/*_toprint.log || true
2025-03-14T06:38:36.5134401Z cat test/**/*_toprint.log || true
2025-03-14T06:38:36.5139888Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-14T06:38:36.5140308Z env:
2025-03-14T06:38:36.5140543Z   GIT_DEFAULT_BRANCH: main
2025-03-14T06:38:36.5141050Z   DOCKER_CONTAINER_ID: 816cc0d6e32ef77e87562d1c825fdb4d864bd2052c5e3e80ce1789fec4b71c73
2025-03-14T06:38:36.5141609Z ##[endgroup]
2025-03-14T06:38:36.5213432Z cat: 'test/**/*_toprint.log': No such file or directory
2025-03-14T06:38:36.5249595Z ##[group]Run kill "$MONITOR_SCRIPT_PID"
2025-03-14T06:38:36.5249980Z kill "$MONITOR_SCRIPT_PID"
2025-03-14T06:38:36.5268984Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-14T06:38:36.5269419Z env:
2025-03-14T06:38:36.5269669Z   GIT_DEFAULT_BRANCH: main
2025-03-14T06:38:36.5270176Z   DOCKER_CONTAINER_ID: 816cc0d6e32ef77e87562d1c825fdb4d864bd2052c5e3e80ce1789fec4b71c73
2025-03-14T06:38:36.5270738Z   MONITOR_SCRIPT_PID: 225995
2025-03-14T06:38:36.5271027Z ##[endgroup]
2025-03-14T06:38:36.5421089Z Prepare all required actions
2025-03-14T06:38:36.5421535Z Getting action download info
2025-03-14T06:38:36.6596832Z Download action repository 'actions/upload-artifact@v4' (SHA:4cec3d8aa04e39d1a68397de0c4cd6fb9dce8ec1)
2025-03-14T06:38:37.1060499Z ##[group]Run ./.github/actions/upload-test-artifacts
2025-03-14T06:38:37.1060910Z with:
2025-03-14T06:38:37.1061254Z   file-suffix: test-crossref-1-2-lf.linux.2xlarge_38754600129
2025-03-14T06:38:37.1061692Z   s3-bucket: gha-artifacts
2025-03-14T06:38:37.1062005Z env:
2025-03-14T06:38:37.1062253Z   GIT_DEFAULT_BRANCH: main
2025-03-14T06:38:37.1062757Z   DOCKER_CONTAINER_ID: 816cc0d6e32ef77e87562d1c825fdb4d864bd2052c5e3e80ce1789fec4b71c73
2025-03-14T06:38:37.1063299Z ##[endgroup]
2025-03-14T06:38:37.1092422Z ##[group]Run # Remove any previous test jsons if they exist
2025-03-14T06:38:37.1092928Z # Remove any previous test jsons if they exist
2025-03-14T06:38:37.1093345Z rm -f test-jsons-*.zip
2025-03-14T06:38:37.1093864Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json'
2025-03-14T06:38:37.1099405Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-14T06:38:37.1099814Z env:
2025-03-14T06:38:37.1100066Z   GIT_DEFAULT_BRANCH: main
2025-03-14T06:38:37.1100568Z   DOCKER_CONTAINER_ID: 816cc0d6e32ef77e87562d1c825fdb4d864bd2052c5e3e80ce1789fec4b71c73
2025-03-14T06:38:37.1101308Z   FILE_SUFFIX: test-crossref-1-2-lf.linux.2xlarge_38754600129
2025-03-14T06:38:37.1101727Z ##[endgroup]
2025-03-14T06:38:37.1236766Z   adding: test/test-reports/td_exclusions-2802594910fe3184b78f.json (deflated 16%)
2025-03-14T06:38:37.1240188Z   adding: test/test-reports/td_exclusions-bfab2efea584f1230c3d.json (deflated 81%)
2025-03-14T06:38:37.1240900Z   adding: test/test-reports/td_exclusions-91da9fce574e52cf657d.json (deflated 73%)
2025-03-14T06:38:37.1241598Z   adding: test/test-reports/td_exclusions-5fce0ab8e458a29e7cb0.json (deflated 18%)
2025-03-14T06:38:37.1242308Z   adding: test/test-reports/td_exclusions-821b6e913169f85f2075.json (deflated 16%)
2025-03-14T06:38:37.1242998Z   adding: test/test-reports/td_exclusions-2fa913da8dab08bcc6c6.json (deflated 14%)
2025-03-14T06:38:37.1267835Z ##[group]Run # Remove any previous test reports if they exist
2025-03-14T06:38:37.1268359Z # Remove any previous test reports if they exist
2025-03-14T06:38:37.1268792Z rm -f test-reports-*.zip
2025-03-14T06:38:37.1269305Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv'
2025-03-14T06:38:37.1274785Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-14T06:38:37.1275295Z env:
2025-03-14T06:38:37.1275543Z   GIT_DEFAULT_BRANCH: main
2025-03-14T06:38:37.1276045Z   DOCKER_CONTAINER_ID: 816cc0d6e32ef77e87562d1c825fdb4d864bd2052c5e3e80ce1789fec4b71c73
2025-03-14T06:38:37.1276684Z   FILE_SUFFIX: test-crossref-1-2-lf.linux.2xlarge_38754600129
2025-03-14T06:38:37.1277101Z ##[endgroup]
2025-03-14T06:38:37.1380389Z   adding: test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-bdfe3da089ccd2fe.xml (deflated 28%)
2025-03-14T06:38:37.1383964Z   adding: test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-9fa2b716700ca96f.xml (deflated 94%)
2025-03-14T06:38:37.1384979Z   adding: test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-4712807a0d7edff8.xml (deflated 28%)
2025-03-14T06:38:37.1387456Z   adding: test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-69d67505924652a8.xml (deflated 94%)
2025-03-14T06:38:37.1433570Z   adding: test/test-reports/python-pytest/test_reductions/test_reductions-a02f9f8b4c26f8a1.xml (deflated 96%)
2025-03-14T06:38:37.1447955Z   adding: test/test-reports/python-pytest/test_overrides/test_overrides-ae71caab1fc61c0e.xml (deflated 95%)
2025-03-14T06:38:37.1449664Z   adding: test/test-reports/python-pytest/test_cpp_extensions_aot_ninja/test_cpp_extensions_aot_ninja-e1e688861a386a67.xml (deflated 84%)
2025-03-14T06:38:37.1456720Z   adding: test/test-reports/python-pytest/test_cpp_api_parity/test_cpp_api_parity-cfae922de6c0e380.xml (deflated 96%)
2025-03-14T06:38:37.1457867Z   adding: test/test-reports/python-pytest/test_extension_utils/test_extension_utils-57ad27f0cee24a9c.xml (deflated 52%)
2025-03-14T06:38:37.1458953Z   adding: test/test-reports/python-pytest/test_show_pickle/test_show_pickle-f343c5800ed3137e.xml (deflated 37%)
2025-03-14T06:38:37.1460064Z   adding: test/test-reports/python-pytest/test_transformers_privateuse1/test_transformers_privateuse1-f835c9f0b432bf8f.xml (deflated 68%)
2025-03-14T06:38:37.1461412Z   adding: test/test-reports/python-pytest/test_cpp_extensions_open_device_registration/test_cpp_extensions_open_device_registration-ed8c81f07473c5fb.xml (deflated 76%)
2025-03-14T06:38:37.1462722Z   adding: test/test-reports/python-pytest/test_namedtuple_return_api/test_namedtuple_return_api-944190f224a51066.xml (deflated 72%)
2025-03-14T06:38:37.1463771Z   adding: test/test-reports/python-pytest/test_tensorexpr/test_tensorexpr-a093d4c359115874.xml (deflated 88%)
2025-03-14T06:38:37.1525840Z   adding: test/test-reports/python-pytest/test_utils/test_utils-d4cd5a811ef556b2.xml (deflated 96%)
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2025-03-14T06:38:37.3547955Z ##[group]Run # Remove any previous usage logs if they exist
2025-03-14T06:38:37.3548473Z # Remove any previous usage logs if they exist
2025-03-14T06:38:37.3548879Z rm -f logs-*.zip
2025-03-14T06:38:37.3549387Z # this workflow is also run in bazel build test, but we dont generate usage reports for it
2025-03-14T06:38:37.3549983Z # so check to see if the file exists first
2025-03-14T06:38:37.3550396Z if [ -f 'usage_log.txt' ]; then
2025-03-14T06:38:37.3551045Z     zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt'
2025-03-14T06:38:37.3551430Z fi
2025-03-14T06:38:37.3551835Z if find "test/test-reports" -name "*.log" 2>/dev/null | grep -q .; then
2025-03-14T06:38:37.3552498Z     zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log'
2025-03-14T06:38:37.3552917Z fi
2025-03-14T06:38:37.3558487Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-14T06:38:37.3558935Z env:
2025-03-14T06:38:37.3559280Z   GIT_DEFAULT_BRANCH: main
2025-03-14T06:38:37.3559806Z   DOCKER_CONTAINER_ID: 816cc0d6e32ef77e87562d1c825fdb4d864bd2052c5e3e80ce1789fec4b71c73
2025-03-14T06:38:37.3560470Z   FILE_SUFFIX: test-crossref-1-2-lf.linux.2xlarge_38754600129
2025-03-14T06:38:37.3560881Z ##[endgroup]
2025-03-14T06:38:37.3685337Z   adding: usage_log.txt (deflated 95%)
2025-03-14T06:38:37.3789171Z ##[group]Run # Remove any previous debugging artifacts if they exist
2025-03-14T06:38:37.3789748Z # Remove any previous debugging artifacts if they exist
2025-03-14T06:38:37.3790195Z rm -f debug-*.zip
2025-03-14T06:38:37.3790515Z if [ -d 'test/debug' ]; then
2025-03-14T06:38:37.3790907Z   zip -r "debug-${FILE_SUFFIX}.zip" test/debug
2025-03-14T06:38:37.3791304Z fi
2025-03-14T06:38:37.3796666Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-14T06:38:37.3797086Z env:
2025-03-14T06:38:37.3797333Z   GIT_DEFAULT_BRANCH: main
2025-03-14T06:38:37.3797848Z   DOCKER_CONTAINER_ID: 816cc0d6e32ef77e87562d1c825fdb4d864bd2052c5e3e80ce1789fec4b71c73
2025-03-14T06:38:37.3798493Z   FILE_SUFFIX: test-crossref-1-2-lf.linux.2xlarge_38754600129
2025-03-14T06:38:37.3798915Z ##[endgroup]
2025-03-14T06:38:37.3876470Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-03-14T06:38:37.3876844Z with:
2025-03-14T06:38:37.3877099Z   s3-bucket: gha-artifacts
2025-03-14T06:38:37.3877476Z   s3-prefix: pytorch/pytorch/13849515290/1/artifact

2025-03-14T06:38:37.3877867Z   retention-days: 14
2025-03-14T06:38:37.3878156Z   if-no-files-found: warn
2025-03-14T06:38:37.3878462Z   path: test-jsons-*.zip
2025-03-14T06:38:37.3878751Z   name: artifact
2025-03-14T06:38:37.3878995Z   region: us-east-1
2025-03-14T06:38:37.3879246Z env:
2025-03-14T06:38:37.3879488Z   GIT_DEFAULT_BRANCH: main
2025-03-14T06:38:37.3879995Z   DOCKER_CONTAINER_ID: 816cc0d6e32ef77e87562d1c825fdb4d864bd2052c5e3e80ce1789fec4b71c73
2025-03-14T06:38:37.3880533Z ##[endgroup]
2025-03-14T06:38:38.0880083Z NOTE: s3-prefix specified, ignoring name parameter
2025-03-14T06:38:38.0880888Z With the provided path, there will be 1 file uploaded
2025-03-14T06:38:38.0881391Z Uploading to s3 prefix: pytorch/pytorch/13849515290/1/artifact
2025-03-14T06:38:38.2074546Z Starting upload of test-jsons-test-crossref-1-2-lf.linux.2xlarge_38754600129.zip
2025-03-14T06:38:38.3812492Z Finished upload of test-jsons-test-crossref-1-2-lf.linux.2xlarge_38754600129.zip
2025-03-14T06:38:38.3997707Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-03-14T06:38:38.3998088Z with:
2025-03-14T06:38:38.3998346Z   s3-bucket: gha-artifacts
2025-03-14T06:38:38.3998698Z   s3-prefix: pytorch/pytorch/13849515290/1/artifact

2025-03-14T06:38:38.3999081Z   retention-days: 14
2025-03-14T06:38:38.3999372Z   if-no-files-found: error
2025-03-14T06:38:38.3999697Z   path: test-reports-*.zip
2025-03-14T06:38:38.3999995Z   name: artifact
2025-03-14T06:38:38.4000243Z   region: us-east-1
2025-03-14T06:38:38.4000499Z env:
2025-03-14T06:38:38.4000734Z   GIT_DEFAULT_BRANCH: main
2025-03-14T06:38:38.4001244Z   DOCKER_CONTAINER_ID: 816cc0d6e32ef77e87562d1c825fdb4d864bd2052c5e3e80ce1789fec4b71c73
2025-03-14T06:38:38.4001781Z ##[endgroup]
2025-03-14T06:38:38.7238014Z NOTE: s3-prefix specified, ignoring name parameter
2025-03-14T06:38:38.7238867Z With the provided path, there will be 1 file uploaded
2025-03-14T06:38:38.7239361Z Uploading to s3 prefix: pytorch/pytorch/13849515290/1/artifact
2025-03-14T06:38:38.7278811Z Starting upload of test-reports-test-crossref-1-2-lf.linux.2xlarge_38754600129.zip
2025-03-14T06:38:38.9462450Z Finished upload of test-reports-test-crossref-1-2-lf.linux.2xlarge_38754600129.zip
2025-03-14T06:38:38.9687663Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-03-14T06:38:38.9688050Z with:
2025-03-14T06:38:38.9688304Z   s3-bucket: gha-artifacts
2025-03-14T06:38:38.9688776Z   s3-prefix: pytorch/pytorch/13849515290/1/artifact

2025-03-14T06:38:38.9689173Z   retention-days: 14
2025-03-14T06:38:38.9689465Z   if-no-files-found: ignore
2025-03-14T06:38:38.9689774Z   path: logs-*.zip
2025-03-14T06:38:38.9690095Z   name: artifact
2025-03-14T06:38:38.9690345Z   region: us-east-1
2025-03-14T06:38:38.9690610Z env:
2025-03-14T06:38:38.9690858Z   GIT_DEFAULT_BRANCH: main
2025-03-14T06:38:38.9691363Z   DOCKER_CONTAINER_ID: 816cc0d6e32ef77e87562d1c825fdb4d864bd2052c5e3e80ce1789fec4b71c73
2025-03-14T06:38:38.9691908Z ##[endgroup]
2025-03-14T06:38:39.2956469Z NOTE: s3-prefix specified, ignoring name parameter
2025-03-14T06:38:39.2957340Z With the provided path, there will be 1 file uploaded
2025-03-14T06:38:39.2958100Z Uploading to s3 prefix: pytorch/pytorch/13849515290/1/artifact
2025-03-14T06:38:39.2998809Z Starting upload of logs-test-crossref-1-2-lf.linux.2xlarge_38754600129.zip
2025-03-14T06:38:39.4227661Z Finished upload of logs-test-crossref-1-2-lf.linux.2xlarge_38754600129.zip
2025-03-14T06:38:39.4406570Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-03-14T06:38:39.4406954Z with:
2025-03-14T06:38:39.4407212Z   s3-bucket: gha-artifacts
2025-03-14T06:38:39.4407571Z   s3-prefix: pytorch/pytorch/13849515290/1/artifact

2025-03-14T06:38:39.4407968Z   retention-days: 14
2025-03-14T06:38:39.4408252Z   if-no-files-found: ignore
2025-03-14T06:38:39.4408559Z   path: debug-*.zip
2025-03-14T06:38:39.4408822Z   name: artifact
2025-03-14T06:38:39.4409080Z   region: us-east-1
2025-03-14T06:38:39.4409335Z env:
2025-03-14T06:38:39.4409566Z   GIT_DEFAULT_BRANCH: main
2025-03-14T06:38:39.4410080Z   DOCKER_CONTAINER_ID: 816cc0d6e32ef77e87562d1c825fdb4d864bd2052c5e3e80ce1789fec4b71c73
2025-03-14T06:38:39.4410615Z ##[endgroup]
2025-03-14T06:38:39.7627691Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded.
2025-03-14T06:38:39.7811864Z ##[group]Run # shellcheck disable=SC2156
2025-03-14T06:38:39.7812307Z # shellcheck disable=SC2156
2025-03-14T06:38:39.7812971Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \;
2025-03-14T06:38:39.7819605Z shell: /usr/bin/bash -e {0}
2025-03-14T06:38:39.7819939Z env:
2025-03-14T06:38:39.7820190Z   GIT_DEFAULT_BRANCH: main
2025-03-14T06:38:39.7820696Z   DOCKER_CONTAINER_ID: 816cc0d6e32ef77e87562d1c825fdb4d864bd2052c5e3e80ce1789fec4b71c73
2025-03-14T06:38:39.7821245Z ##[endgroup]
2025-03-14T06:38:40.0202827Z Prepare all required actions
2025-03-14T06:38:40.0203275Z Getting action download info
2025-03-14T06:38:40.1549637Z ##[group]Run ./.github/actions/upload-utilization-stats
2025-03-14T06:38:40.1550052Z with:
2025-03-14T06:38:40.1550302Z   job_id: 38754600129
2025-03-14T06:38:40.1550747Z   job_name: linux-focal-py3.13-clang10 / test (crossref, 1, 2, lf.linux.2xlarge)
2025-03-14T06:38:40.1551359Z   workflow_name: pull
2025-03-14T06:38:40.1551649Z   workflow_run_id: 13849515290
2025-03-14T06:38:40.1551960Z   workflow_attempt: 1
2025-03-14T06:38:40.1552240Z env:
2025-03-14T06:38:40.1552488Z   GIT_DEFAULT_BRANCH: main
2025-03-14T06:38:40.1552993Z   DOCKER_CONTAINER_ID: 816cc0d6e32ef77e87562d1c825fdb4d864bd2052c5e3e80ce1789fec4b71c73
2025-03-14T06:38:40.1553535Z ##[endgroup]
2025-03-14T06:38:40.1575887Z ##[group]Run echo "workflow_id: 13849515290"
2025-03-14T06:38:40.1576289Z echo "workflow_id: 13849515290"
2025-03-14T06:38:40.1576652Z echo "workflow_attempt: 1"
2025-03-14T06:38:40.1577055Z echo "workflow_Name: pull"
2025-03-14T06:38:40.1577396Z echo "job_id: 38754600129"
2025-03-14T06:38:40.1577936Z echo "job_name:  linux-focal-py3.13-clang10 / test (crossref, 1, 2, lf.linux.2xlarge)"
2025-03-14T06:38:40.1583659Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-14T06:38:40.1584071Z env:
2025-03-14T06:38:40.1584326Z   GIT_DEFAULT_BRANCH: main
2025-03-14T06:38:40.1584834Z   DOCKER_CONTAINER_ID: 816cc0d6e32ef77e87562d1c825fdb4d864bd2052c5e3e80ce1789fec4b71c73
2025-03-14T06:38:40.1585463Z ##[endgroup]
2025-03-14T06:38:40.1608497Z workflow_id: 13849515290
2025-03-14T06:38:40.1608846Z workflow_attempt: 1
2025-03-14T06:38:40.1609121Z workflow_Name: pull
2025-03-14T06:38:40.1609427Z job_id: 38754600129
2025-03-14T06:38:40.1610064Z job_name:  linux-focal-py3.13-clang10 / test (crossref, 1, 2, lf.linux.2xlarge)
2025-03-14T06:38:40.1648138Z ##[group]Run nick-fields/retry@v3.0.0
2025-03-14T06:38:40.1648487Z with:
2025-03-14T06:38:40.1648741Z   shell: bash
2025-03-14T06:38:40.1648995Z   timeout_minutes: 5
2025-03-14T06:38:40.1649267Z   max_attempts: 5
2025-03-14T06:38:40.1649539Z   retry_wait_seconds: 30
2025-03-14T06:38:40.1650046Z   command: set -eu
python3 -m pip install python-dateutil==2.8.2 boto3==1.35.42 pandas==2.1.3

2025-03-14T06:38:40.1650597Z   polling_interval_seconds: 1
2025-03-14T06:38:40.1650910Z   warning_on_retry: true
2025-03-14T06:38:40.1651203Z   continue_on_error: false
2025-03-14T06:38:40.1651485Z env:
2025-03-14T06:38:40.1651721Z   GIT_DEFAULT_BRANCH: main
2025-03-14T06:38:40.1652228Z   DOCKER_CONTAINER_ID: 816cc0d6e32ef77e87562d1c825fdb4d864bd2052c5e3e80ce1789fec4b71c73
2025-03-14T06:38:40.1652764Z ##[endgroup]
2025-03-14T06:38:40.5239444Z Defaulting to user installation because normal site-packages is not writeable
2025-03-14T06:38:40.5409035Z Requirement already satisfied: python-dateutil==2.8.2 in /home/ec2-user/.local/lib/python3.9/site-packages (2.8.2)
2025-03-14T06:38:41.5279208Z Collecting boto3==1.35.42
2025-03-14T06:38:41.5324650Z   Using cached boto3-1.35.42-py3-none-any.whl (139 kB)
2025-03-14T06:38:41.5350827Z Requirement already satisfied: pandas==2.1.3 in /home/ec2-user/.local/lib/python3.9/site-packages (2.1.3)
2025-03-14T06:38:41.5365956Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil==2.8.2) (1.15.0)
2025-03-14T06:38:41.5412643Z Requirement already satisfied: s3transfer<0.11.0,>=0.10.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from boto3==1.35.42) (0.10.4)
2025-03-14T06:38:41.5416503Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /usr/lib/python3.9/site-packages (from boto3==1.35.42) (0.10.0)
2025-03-14T06:38:41.5420650Z Requirement already satisfied: botocore<1.36.0,>=1.35.42 in /home/ec2-user/.local/lib/python3.9/site-packages (from boto3==1.35.42) (1.35.99)
2025-03-14T06:38:41.6291802Z Requirement already satisfied: tzdata>=2022.1 in /home/ec2-user/.local/lib/python3.9/site-packages (from pandas==2.1.3) (2025.1)
2025-03-14T06:38:41.6301091Z Requirement already satisfied: numpy<2,>=1.22.4 in /home/ec2-user/.local/lib/python3.9/site-packages (from pandas==2.1.3) (1.26.4)
2025-03-14T06:38:41.6306296Z Requirement already satisfied: pytz>=2020.1 in /usr/lib/python3.9/site-packages (from pandas==2.1.3) (2022.7.1)
2025-03-14T06:38:41.6363610Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.42->boto3==1.35.42) (1.25.10)
2025-03-14T06:38:41.7187898Z Installing collected packages: boto3
2025-03-14T06:38:41.7188362Z   Attempting uninstall: boto3
2025-03-14T06:38:41.7189130Z     Found existing installation: boto3 1.35.33
2025-03-14T06:38:41.7404329Z     Uninstalling boto3-1.35.33:
2025-03-14T06:38:41.7416735Z       Successfully uninstalled boto3-1.35.33
2025-03-14T06:38:41.7962257Z Successfully installed boto3-1.35.42
2025-03-14T06:38:42.2545129Z Command completed after 1 attempt(s).
2025-03-14T06:38:42.2604857Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \
2025-03-14T06:38:42.2605624Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \
2025-03-14T06:38:42.2606183Z   --workflow-run-id "13849515290" \
2025-03-14T06:38:42.2606562Z   --workflow-name "pull" \
2025-03-14T06:38:42.2606927Z   --workflow-run-attempt "1" \
2025-03-14T06:38:42.2607288Z   --job-id "38754600129" \
2025-03-14T06:38:42.2607808Z   --job-name "linux-focal-py3.13-clang10 / test (crossref, 1, 2, lf.linux.2xlarge)"
2025-03-14T06:38:42.2614077Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-14T06:38:42.2614494Z env:
2025-03-14T06:38:42.2614750Z   GIT_DEFAULT_BRANCH: main
2025-03-14T06:38:42.2615266Z   DOCKER_CONTAINER_ID: 816cc0d6e32ef77e87562d1c825fdb4d864bd2052c5e3e80ce1789fec4b71c73
2025-03-14T06:38:42.2615900Z ##[endgroup]
2025-03-14T06:38:44.9075439Z repo: pytorch/pytorch
2025-03-14T06:38:44.9076107Z Downloading logs-test-crossref-1-2-lf.linux.2xlarge_38754600129.zip
2025-03-14T06:38:44.9076624Z Converted Log Model: UtilizationMetadata:
2025-03-14T06:38:44.9078042Z  UtilizationMetadata(level='metadata', workflow_id='13849515290', job_id='38754600129', workflow_name='pull', job_name='linux-focal-py3.13-clang10 / test (crossref, 1, 2, lf.linux.2xlarge)', usage_collect_interval=1.0, data_model_version=1.0, start_at=1741925224, gpu_count=0, cpu_count=8, gpu_type='', error=None)
2025-03-14T06:38:44.9079517Z [Db Segments] detected pytest cmd: 23, generated segments: 23
2025-03-14T06:38:44.9079966Z [db model] Peek db timeseries 
2025-03-14T06:38:44.9080254Z :{
2025-03-14T06:38:44.9080489Z     "created_at": 1741934324,
2025-03-14T06:38:44.9080798Z     "type": "utilization",
2025-03-14T06:38:44.9081089Z     "tags": [
2025-03-14T06:38:44.9081340Z         "record"
2025-03-14T06:38:44.9081585Z     ],
2025-03-14T06:38:44.9081823Z     "time_stamp": 1741925224,
2025-03-14T06:38:44.9082137Z     "repo": "pytorch/pytorch",
2025-03-14T06:38:44.9082457Z     "workflow_id": 13849515290,
2025-03-14T06:38:44.9082761Z     "run_attempt": 1,
2025-03-14T06:38:44.9083034Z     "job_id": 38754600129,
2025-03-14T06:38:44.9083330Z     "workflow_name": "pull",
2025-03-14T06:38:44.9083803Z     "job_name": "linux-focal-py3.13-clang10 / test (crossref, 1, 2, lf.linux.2xlarge)",
2025-03-14T06:38:44.9084311Z     "json_data": "{}"
2025-03-14T06:38:44.9084574Z }
2025-03-14T06:38:44.9085100Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.0/pytorch/pytorch/13849515290/1/38754600129/metadata
2025-03-14T06:38:44.9086088Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.0/pytorch/pytorch/13849515290/1/38754600129/metadata 
2025-03-14T06:38:44.9087111Z Writing 1814 documents to S3 ossci-utilization/util_timeseries/v_1.0/pytorch/pytorch/13849515290/1/38754600129/time_series
2025-03-14T06:38:44.9088160Z Done! Finish writing document to S3 ossci-utilization/util_timeseries/v_1.0/pytorch/pytorch/13849515290/1/38754600129/time_series 
2025-03-14T06:38:45.0149067Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main
2025-03-14T06:38:45.0149542Z with:
2025-03-14T06:38:45.0149775Z env:
2025-03-14T06:38:45.0150021Z   GIT_DEFAULT_BRANCH: main
2025-03-14T06:38:45.0150530Z   DOCKER_CONTAINER_ID: 816cc0d6e32ef77e87562d1c825fdb4d864bd2052c5e3e80ce1789fec4b71c73
2025-03-14T06:38:45.0151068Z ##[endgroup]
2025-03-14T06:38:45.0174074Z ##[group]Run set -eou pipefail
2025-03-14T06:38:45.0174431Z set -eou pipefail
2025-03-14T06:38:45.0174729Z 
2025-03-14T06:38:45.0175134Z echo "Holding runner for 2 hours until all ssh sessions have logged out"
2025-03-14T06:38:45.0175651Z for _ in $(seq 1440); do
2025-03-14T06:38:45.0176020Z     # Break if no ssh session exists anymore
2025-03-14T06:38:45.0176409Z     if [ "$(who)" = "" ]; then
2025-03-14T06:38:45.0176749Z       break
2025-03-14T06:38:45.0177015Z     fi
2025-03-14T06:38:45.0177305Z     echo "."
2025-03-14T06:38:45.0177577Z     sleep 5
2025-03-14T06:38:45.0177843Z done
2025-03-14T06:38:45.0183913Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-14T06:38:45.0184329Z env:
2025-03-14T06:38:45.0184580Z   GIT_DEFAULT_BRANCH: main
2025-03-14T06:38:45.0185080Z   DOCKER_CONTAINER_ID: 816cc0d6e32ef77e87562d1c825fdb4d864bd2052c5e3e80ce1789fec4b71c73
2025-03-14T06:38:45.0185624Z ##[endgroup]
2025-03-14T06:38:45.0208125Z Holding runner for 2 hours until all ssh sessions have logged out
2025-03-14T06:38:45.0289853Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-03-14T06:38:45.0290534Z # ignore expansion of "docker ps -q" since it could be empty
2025-03-14T06:38:45.0291001Z # shellcheck disable=SC2046
2025-03-14T06:38:45.0291370Z docker stop $(docker ps -q) || true
2025-03-14T06:38:45.0291811Z # Prune all of the docker images
2025-03-14T06:38:45.0292179Z docker system prune -af
2025-03-14T06:38:45.0297352Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-14T06:38:45.0297760Z env:
2025-03-14T06:38:45.0298003Z   GIT_DEFAULT_BRANCH: main
2025-03-14T06:38:45.0298510Z   DOCKER_CONTAINER_ID: 816cc0d6e32ef77e87562d1c825fdb4d864bd2052c5e3e80ce1789fec4b71c73
2025-03-14T06:38:45.0299049Z ##[endgroup]
2025-03-14T06:38:45.9502325Z 816cc0d6e32e
2025-03-14T06:38:46.5640270Z Deleted Containers:
2025-03-14T06:38:46.5640874Z 816cc0d6e32ef77e87562d1c825fdb4d864bd2052c5e3e80ce1789fec4b71c73
2025-03-14T06:38:46.5641237Z 
2025-03-14T06:38:53.5624066Z Deleted Images:
2025-03-14T06:38:53.5625340Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.13-clang10:aa89d6e739080d90fa18625d57297c6734465849
2025-03-14T06:38:53.5627213Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.13-clang10@sha256:f3d6a3edfcad1af24cc8a256a5d3fd25be79458006d512d917d0ff8916c757ad
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2025-03-14T06:38:53.5693460Z 
2025-03-14T06:38:53.5788367Z Total reclaimed space: 10.77GB
2025-03-14T06:38:53.5906706Z Post job cleanup.
2025-03-14T06:38:53.5972214Z Post job cleanup.
2025-03-14T06:38:53.6997049Z [command]/usr/bin/git version
2025-03-14T06:38:53.7248784Z git version 2.47.1
2025-03-14T06:38:53.7284992Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/dfc938ad-e52f-43e3-aee0-42025267459b/.gitconfig'
2025-03-14T06:38:53.7293471Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/dfc938ad-e52f-43e3-aee0-42025267459b' before making global git config changes
2025-03-14T06:38:53.7294482Z Adding repository directory to the temporary git global config as a safe directory
2025-03-14T06:38:53.7298877Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-03-14T06:38:53.7353912Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-03-14T06:38:53.7390433Z [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' || :"
2025-03-14T06:38:53.7752859Z Entering 'android/libs/fbjni'
2025-03-14T06:38:53.7823405Z Entering 'third_party/FP16'
2025-03-14T06:38:53.7885509Z Entering 'third_party/FXdiv'
2025-03-14T06:38:53.7942729Z Entering 'third_party/NNPACK'
2025-03-14T06:38:53.7999777Z Entering 'third_party/NVTX'
2025-03-14T06:38:53.8049001Z Entering 'third_party/VulkanMemoryAllocator'
2025-03-14T06:38:53.8099789Z Entering 'third_party/XNNPACK'
2025-03-14T06:38:53.8231259Z Entering 'third_party/benchmark'
2025-03-14T06:38:53.8294409Z Entering 'third_party/composable_kernel'
2025-03-14T06:38:53.8350846Z Entering 'third_party/cpp-httplib'
2025-03-14T06:38:53.8403278Z Entering 'third_party/cpuinfo'
2025-03-14T06:38:53.8465948Z Entering 'third_party/cudnn_frontend'
2025-03-14T06:38:53.8515687Z Entering 'third_party/cutlass'
2025-03-14T06:38:53.8575005Z Entering 'third_party/eigen'
2025-03-14T06:38:53.8647233Z Entering 'third_party/fbgemm'
2025-03-14T06:38:53.8717037Z Entering 'third_party/fbgemm/third_party/asmjit'
2025-03-14T06:38:53.8781852Z Entering 'third_party/fbgemm/third_party/cpuinfo'
2025-03-14T06:38:53.8849381Z Entering 'third_party/fbgemm/third_party/cutlass'
2025-03-14T06:38:53.8954455Z Entering 'third_party/fbgemm/third_party/googletest'
2025-03-14T06:38:53.9038988Z Entering 'third_party/fbgemm/third_party/hipify_torch'
2025-03-14T06:38:53.9102084Z Entering 'third_party/flash-attention'
2025-03-14T06:38:53.9153700Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-03-14T06:38:53.9209624Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-03-14T06:38:53.9267700Z Entering 'third_party/flatbuffers'
2025-03-14T06:38:53.9320421Z Entering 'third_party/fmt'
2025-03-14T06:38:53.9382664Z Entering 'third_party/gemmlowp/gemmlowp'
2025-03-14T06:38:53.9449952Z Entering 'third_party/gloo'
2025-03-14T06:38:53.9516855Z Entering 'third_party/googletest'
2025-03-14T06:38:53.9582359Z Entering 'third_party/ideep'
2025-03-14T06:38:53.9651848Z Entering 'third_party/ideep/mkl-dnn'
2025-03-14T06:38:53.9768831Z Entering 'third_party/ittapi'
2025-03-14T06:38:53.9819758Z Entering 'third_party/kineto'
2025-03-14T06:38:53.9868893Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-03-14T06:38:53.9919706Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-03-14T06:38:53.9970177Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-03-14T06:38:54.0019030Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-03-14T06:38:54.0068366Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-03-14T06:38:54.0115801Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-03-14T06:38:54.0166586Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-03-14T06:38:54.0215881Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-03-14T06:38:54.0264954Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-03-14T06:38:54.0315379Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-03-14T06:38:54.0366080Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-03-14T06:38:54.0414740Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-03-14T06:38:54.0464370Z Entering 'third_party/kleidiai'
2025-03-14T06:38:54.0515472Z Entering 'third_party/mimalloc'
2025-03-14T06:38:54.0564989Z Entering 'third_party/nlohmann'
2025-03-14T06:38:54.0616345Z Entering 'third_party/onnx'
2025-03-14T06:38:54.0774171Z Entering 'third_party/onnx/third_party/pybind11'
2025-03-14T06:38:54.0833463Z Entering 'third_party/opentelemetry-cpp'
2025-03-14T06:38:54.0886034Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-03-14T06:38:54.0933682Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-03-14T06:38:54.0981152Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-03-14T06:38:54.1029089Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-03-14T06:38:54.1080018Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-03-14T06:38:54.1127379Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-03-14T06:38:54.1176586Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-03-14T06:38:54.1224382Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-03-14T06:38:54.1275383Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-03-14T06:38:54.1325861Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-03-14T06:38:54.1395867Z Entering 'third_party/pocketfft'
2025-03-14T06:38:54.1446257Z Entering 'third_party/protobuf'
2025-03-14T06:38:54.1556439Z Entering 'third_party/protobuf/third_party/benchmark'
2025-03-14T06:38:54.1620114Z Entering 'third_party/protobuf/third_party/googletest'
2025-03-14T06:38:54.1686860Z Entering 'third_party/psimd'
2025-03-14T06:38:54.1745362Z Entering 'third_party/pthreadpool'
2025-03-14T06:38:54.1802822Z Entering 'third_party/pybind11'
2025-03-14T06:38:54.1861622Z Entering 'third_party/python-peachpy'
2025-03-14T06:38:54.1915485Z Entering 'third_party/sleef'
2025-03-14T06:38:54.1975362Z Entering 'third_party/tensorpipe'
2025-03-14T06:38:54.2047860Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-03-14T06:38:54.2121669Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-03-14T06:38:54.2190117Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-03-14T06:38:54.2258937Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-03-14T06:38:54.2327212Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-03-14T06:38:54.2406722Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-03-14T06:38:54.2425464Z http.https://github.com/.extraheader
2025-03-14T06:38:54.2435708Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader
2025-03-14T06:38:54.2465387Z [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' || :"
2025-03-14T06:38:54.2731144Z Entering 'android/libs/fbjni'
2025-03-14T06:38:54.2765066Z http.https://github.com/.extraheader
2025-03-14T06:38:54.2797827Z Entering 'third_party/FP16'
2025-03-14T06:38:54.2831451Z http.https://github.com/.extraheader
2025-03-14T06:38:54.2861453Z Entering 'third_party/FXdiv'
2025-03-14T06:38:54.2895775Z http.https://github.com/.extraheader
2025-03-14T06:38:54.2925585Z Entering 'third_party/NNPACK'
2025-03-14T06:38:54.2958867Z http.https://github.com/.extraheader
2025-03-14T06:38:54.2989265Z Entering 'third_party/NVTX'
2025-03-14T06:38:54.3022447Z http.https://github.com/.extraheader
2025-03-14T06:38:54.3053402Z Entering 'third_party/VulkanMemoryAllocator'
2025-03-14T06:38:54.3086732Z http.https://github.com/.extraheader
2025-03-14T06:38:54.3116258Z Entering 'third_party/XNNPACK'
2025-03-14T06:38:54.3149010Z http.https://github.com/.extraheader
2025-03-14T06:38:54.3196753Z Entering 'third_party/benchmark'
2025-03-14T06:38:54.3230603Z http.https://github.com/.extraheader
2025-03-14T06:38:54.3260301Z Entering 'third_party/composable_kernel'
2025-03-14T06:38:54.3295477Z http.https://github.com/.extraheader
2025-03-14T06:38:54.3333546Z Entering 'third_party/cpp-httplib'
2025-03-14T06:38:54.3366793Z http.https://github.com/.extraheader
2025-03-14T06:38:54.3399666Z Entering 'third_party/cpuinfo'
2025-03-14T06:38:54.3432927Z http.https://github.com/.extraheader
2025-03-14T06:38:54.3464014Z Entering 'third_party/cudnn_frontend'
2025-03-14T06:38:54.3497631Z http.https://github.com/.extraheader
2025-03-14T06:38:54.3528099Z Entering 'third_party/cutlass'
2025-03-14T06:38:54.3560637Z http.https://github.com/.extraheader
2025-03-14T06:38:54.3600791Z Entering 'third_party/eigen'
2025-03-14T06:38:54.3633931Z http.https://github.com/.extraheader
2025-03-14T06:38:54.3666305Z Entering 'third_party/fbgemm'
2025-03-14T06:38:54.3702381Z http.https://github.com/.extraheader
2025-03-14T06:38:54.3733648Z Entering 'third_party/fbgemm/third_party/asmjit'
2025-03-14T06:38:54.3767562Z http.https://github.com/.extraheader
2025-03-14T06:38:54.3799736Z Entering 'third_party/fbgemm/third_party/cpuinfo'
2025-03-14T06:38:54.3832323Z http.https://github.com/.extraheader
2025-03-14T06:38:54.3862922Z Entering 'third_party/fbgemm/third_party/cutlass'
2025-03-14T06:38:54.3895587Z http.https://github.com/.extraheader
2025-03-14T06:38:54.3933907Z Entering 'third_party/fbgemm/third_party/googletest'
2025-03-14T06:38:54.3966766Z http.https://github.com/.extraheader
2025-03-14T06:38:54.3997488Z Entering 'third_party/fbgemm/third_party/hipify_torch'
2025-03-14T06:38:54.4029799Z http.https://github.com/.extraheader
2025-03-14T06:38:54.4062506Z Entering 'third_party/flash-attention'
2025-03-14T06:38:54.4097244Z http.https://github.com/.extraheader
2025-03-14T06:38:54.4129084Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-03-14T06:38:54.4162148Z http.https://github.com/.extraheader
2025-03-14T06:38:54.4200631Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-03-14T06:38:54.4234010Z http.https://github.com/.extraheader
2025-03-14T06:38:54.4275778Z Entering 'third_party/flatbuffers'
2025-03-14T06:38:54.4309583Z http.https://github.com/.extraheader
2025-03-14T06:38:54.4343695Z Entering 'third_party/fmt'
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2025-03-14T06:38:54.4409920Z Entering 'third_party/gemmlowp/gemmlowp'
2025-03-14T06:38:54.4444473Z http.https://github.com/.extraheader
2025-03-14T06:38:54.4477257Z Entering 'third_party/gloo'
2025-03-14T06:38:54.4511428Z http.https://github.com/.extraheader
2025-03-14T06:38:54.4543067Z Entering 'third_party/googletest'
2025-03-14T06:38:54.4576364Z http.https://github.com/.extraheader
2025-03-14T06:38:54.4607658Z Entering 'third_party/ideep'
2025-03-14T06:38:54.4641168Z http.https://github.com/.extraheader
2025-03-14T06:38:54.4672443Z Entering 'third_party/ideep/mkl-dnn'
2025-03-14T06:38:54.4704709Z http.https://github.com/.extraheader
2025-03-14T06:38:54.4743464Z Entering 'third_party/ittapi'
2025-03-14T06:38:54.4777021Z http.https://github.com/.extraheader
2025-03-14T06:38:54.4807478Z Entering 'third_party/kineto'
2025-03-14T06:38:54.4840764Z http.https://github.com/.extraheader
2025-03-14T06:38:54.4871545Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-03-14T06:38:54.4904566Z http.https://github.com/.extraheader
2025-03-14T06:38:54.4935108Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-03-14T06:38:54.4969380Z http.https://github.com/.extraheader
2025-03-14T06:38:54.5001808Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-03-14T06:38:54.5035759Z http.https://github.com/.extraheader
2025-03-14T06:38:54.5068308Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-03-14T06:38:54.5100950Z http.https://github.com/.extraheader
2025-03-14T06:38:54.5132511Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-03-14T06:38:54.5166299Z http.https://github.com/.extraheader
2025-03-14T06:38:54.5198204Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-03-14T06:38:54.5231948Z http.https://github.com/.extraheader
2025-03-14T06:38:54.5265628Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-03-14T06:38:54.5299339Z http.https://github.com/.extraheader
2025-03-14T06:38:54.5331402Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-03-14T06:38:54.5364338Z http.https://github.com/.extraheader
2025-03-14T06:38:54.5397327Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-03-14T06:38:54.5430276Z http.https://github.com/.extraheader
2025-03-14T06:38:54.5464445Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-03-14T06:38:54.5497743Z http.https://github.com/.extraheader
2025-03-14T06:38:54.5531226Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-03-14T06:38:54.5564762Z http.https://github.com/.extraheader
2025-03-14T06:38:54.5596389Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-03-14T06:38:54.5630112Z http.https://github.com/.extraheader
2025-03-14T06:38:54.5663213Z Entering 'third_party/kleidiai'
2025-03-14T06:38:54.5698811Z http.https://github.com/.extraheader
2025-03-14T06:38:54.5731595Z Entering 'third_party/mimalloc'
2025-03-14T06:38:54.5765330Z http.https://github.com/.extraheader
2025-03-14T06:38:54.5797184Z Entering 'third_party/nlohmann'
2025-03-14T06:38:54.5831536Z http.https://github.com/.extraheader
2025-03-14T06:38:54.5864755Z Entering 'third_party/onnx'
2025-03-14T06:38:54.5899765Z http.https://github.com/.extraheader
2025-03-14T06:38:54.5949188Z Entering 'third_party/onnx/third_party/pybind11'
2025-03-14T06:38:54.5984579Z http.https://github.com/.extraheader
2025-03-14T06:38:54.6018417Z Entering 'third_party/opentelemetry-cpp'
2025-03-14T06:38:54.6053584Z http.https://github.com/.extraheader
2025-03-14T06:38:54.6087716Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-03-14T06:38:54.6120624Z http.https://github.com/.extraheader
2025-03-14T06:38:54.6151493Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-03-14T06:38:54.6184947Z http.https://github.com/.extraheader
2025-03-14T06:38:54.6216227Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-03-14T06:38:54.6249388Z http.https://github.com/.extraheader
2025-03-14T06:38:54.6283558Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-03-14T06:38:54.6316720Z http.https://github.com/.extraheader
2025-03-14T06:38:54.6348865Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-03-14T06:38:54.6382875Z http.https://github.com/.extraheader
2025-03-14T06:38:54.6413487Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-03-14T06:38:54.6446068Z http.https://github.com/.extraheader
2025-03-14T06:38:54.6476882Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-03-14T06:38:54.6510169Z http.https://github.com/.extraheader
2025-03-14T06:38:54.6540885Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-03-14T06:38:54.6575983Z http.https://github.com/.extraheader
2025-03-14T06:38:54.6609011Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-03-14T06:38:54.6642127Z http.https://github.com/.extraheader
2025-03-14T06:38:54.6677107Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-03-14T06:38:54.6710452Z http.https://github.com/.extraheader
2025-03-14T06:38:54.6764315Z Entering 'third_party/pocketfft'
2025-03-14T06:38:54.6800638Z http.https://github.com/.extraheader
2025-03-14T06:38:54.6833226Z Entering 'third_party/protobuf'
2025-03-14T06:38:54.6868632Z http.https://github.com/.extraheader
2025-03-14T06:38:54.6904952Z Entering 'third_party/protobuf/third_party/benchmark'
2025-03-14T06:38:54.6938939Z http.https://github.com/.extraheader
2025-03-14T06:38:54.6970359Z Entering 'third_party/protobuf/third_party/googletest'
2025-03-14T06:38:54.7003310Z http.https://github.com/.extraheader
2025-03-14T06:38:54.7036201Z Entering 'third_party/psimd'
2025-03-14T06:38:54.7072505Z http.https://github.com/.extraheader
2025-03-14T06:38:54.7103024Z Entering 'third_party/pthreadpool'
2025-03-14T06:38:54.7136209Z http.https://github.com/.extraheader
2025-03-14T06:38:54.7166235Z Entering 'third_party/pybind11'
2025-03-14T06:38:54.7200317Z http.https://github.com/.extraheader
2025-03-14T06:38:54.7230913Z Entering 'third_party/python-peachpy'
2025-03-14T06:38:54.7263930Z http.https://github.com/.extraheader
2025-03-14T06:38:54.7295188Z Entering 'third_party/sleef'
2025-03-14T06:38:54.7329605Z http.https://github.com/.extraheader
2025-03-14T06:38:54.7360111Z Entering 'third_party/tensorpipe'
2025-03-14T06:38:54.7404215Z http.https://github.com/.extraheader
2025-03-14T06:38:54.7424873Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-03-14T06:38:54.7457583Z http.https://github.com/.extraheader
2025-03-14T06:38:54.7490067Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-03-14T06:38:54.7523462Z http.https://github.com/.extraheader
2025-03-14T06:38:54.7554144Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-03-14T06:38:54.7586741Z http.https://github.com/.extraheader
2025-03-14T06:38:54.7618007Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-03-14T06:38:54.7650633Z http.https://github.com/.extraheader
2025-03-14T06:38:54.7680920Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-03-14T06:38:54.7713697Z http.https://github.com/.extraheader
2025-03-14T06:38:54.7833483Z A job completed hook has been configured by the self-hosted runner administrator
2025-03-14T06:38:54.7865989Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh'
2025-03-14T06:38:54.7871335Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-14T06:38:54.7871777Z ##[endgroup]
2025-03-14T06:39:02.5208581Z Cleaning up orphan processes