2025-12-04T08:09:59.5134767Z Current runner version: '2.330.0' 2025-12-04T08:09:59.5141290Z Runner name: 'i-07de2232a1da967c6' 2025-12-04T08:09:59.5142117Z Runner group name: 'default' 2025-12-04T08:09:59.5142934Z Machine name: 'ip-10-0-68-46' 2025-12-04T08:09:59.5145826Z ##[group]GITHUB_TOKEN Permissions 2025-12-04T08:09:59.5148199Z Contents: read 2025-12-04T08:09:59.5148837Z Metadata: read 2025-12-04T08:09:59.5149480Z ##[endgroup] 2025-12-04T08:09:59.5152042Z Secret source: Actions 2025-12-04T08:09:59.5152957Z Prepare workflow directory 2025-12-04T08:09:59.5664873Z Prepare all required actions 2025-12-04T08:09:59.5705238Z Getting action download info 2025-12-04T08:09:59.9099049Z Download action repository 'pytorch/test-infra@main' (SHA:39aa74d619174326f4e2fb0e216151c2f29d9ffd) 2025-12-04T08:10:02.1755117Z Download action repository 'pytorch/pytorch@main' (SHA:ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32) 2025-12-04T08:10:16.6074409Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-12-04T08:10:16.9694881Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-12-04T08:10:17.2124466Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-12-04T08:10:17.4159883Z Download action repository 'seemethere/download-artifact-s3@1da556a7aa0a088e3153970611f6c432d58e80e6' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-12-04T08:10:17.6609494Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-12-04T08:10:17.9576251Z Getting action download info 2025-12-04T08:10:18.0708566Z Download action repository 'actions/checkout@v4' (SHA:34e114876b0b11c390a56381ad16ebd13914f8d5) 2025-12-04T08:10:18.3659526Z Getting action download info 2025-12-04T08:10:18.4846793Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-12-04T08:10:18.7395335Z Getting action download info 2025-12-04T08:10:18.8664056Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-12-04T08:10:19.0542466Z Getting action download info 2025-12-04T08:10:19.2378441Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32) 2025-12-04T08:10:19.2382360Z ##[group] Inputs 2025-12-04T08:10:19.2382731Z build-environment: linux-jammy-py3.14-clang12 2025-12-04T08:10:19.2385913Z test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "crossref", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge"}, {"config": "crossref", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "einops", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge"}, {"config": "openreg", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge"}]} 2025-12-04T08:10:19.2389546Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:10:19.2390339Z sync-tag: 2025-12-04T08:10:19.2391293Z timeout-minutes: 240 2025-12-04T08:10:19.2391556Z use-gha: 2025-12-04T08:10:19.2391998Z dashboard-tag: 2025-12-04T08:10:19.2392354Z s3-bucket: gha-artifacts 2025-12-04T08:10:19.2392626Z aws-role-to-assume: 2025-12-04T08:10:19.2393235Z disable-monitor: false 2025-12-04T08:10:19.2393564Z monitor-log-interval: 5 2025-12-04T08:10:19.2393875Z monitor-data-collect-interval: 1 2025-12-04T08:10:19.2394184Z ##[endgroup] 2025-12-04T08:10:19.2394602Z Complete job name: linux-jammy-py3.14-clang12 / test (default, 1, 5, linux.4xlarge) 2025-12-04T08:10:19.2904526Z A job started hook has been configured by the self-hosted runner administrator 2025-12-04T08:10:19.3008910Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh' 2025-12-04T08:10:19.3018269Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:10:19.3018935Z ##[endgroup] 2025-12-04T08:10:20.7368011Z Runner Type: linux.4xlarge 2025-12-04T08:10:20.7368511Z Instance Type: c5.4xlarge 2025-12-04T08:10:20.7368786Z AMI Name: unknown 2025-12-04T08:10:20.7396813Z AMI ID: ami-08982f1c5bf93d976 2025-12-04T08:10:26.2871128Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-12-04T08:10:26.2871616Z with: 2025-12-04T08:10:26.2872201Z github-secret: *** 2025-12-04T08:10:26.2873174Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-12-04T08:10:26.2873975Z activate-with-label: false 2025-12-04T08:10:26.2874263Z label: with-ssh 2025-12-04T08:10:26.2874505Z remove-existing-keys: true 2025-12-04T08:10:26.2874792Z fail-silently: true 2025-12-04T08:10:26.2875044Z env: 2025-12-04T08:10:26.2875250Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:10:26.2875528Z ##[endgroup] 2025-12-04T08:10:26.4317936Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-12-04T08:10:26.4319410Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-12-04T08:10:26.4658216Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-12-04T08:10:26.4658698Z with: 2025-12-04T08:10:26.4658910Z no-sudo: true 2025-12-04T08:10:26.4659149Z submodules: recursive 2025-12-04T08:10:26.4659422Z fetch-depth: 0 2025-12-04T08:10:26.4659641Z env: 2025-12-04T08:10:26.4659859Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:10:26.4660130Z ##[endgroup] 2025-12-04T08:10:26.4747169Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:10:26.4748164Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:10:26.4758038Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:10:26.4758435Z env: 2025-12-04T08:10:26.4758674Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:10:26.4758977Z ##[endgroup] 2025-12-04T08:10:26.4850703Z ##[group]Run # Use all available CPUs for fetching 2025-12-04T08:10:26.4851153Z # Use all available CPUs for fetching 2025-12-04T08:10:26.4851521Z cd "${GITHUB_WORKSPACE}" 2025-12-04T08:10:26.4851850Z git config --global fetch.parallel 0 2025-12-04T08:10:26.4852245Z git config --global submodule.fetchJobs 0 2025-12-04T08:10:26.4852590Z  2025-12-04T08:10:26.4852942Z # Clean workspace. The default checkout action should also do this, but 2025-12-04T08:10:26.4853421Z # do it here as well just in case 2025-12-04T08:10:26.4853747Z if [[ -d .git ]]; then 2025-12-04T08:10:26.4854034Z  if [ -z "${NO_SUDO}" ]; then 2025-12-04T08:10:26.4854349Z  sudo git clean -ffdx 2025-12-04T08:10:26.4854634Z  else 2025-12-04T08:10:26.4854872Z  git clean -ffdx 2025-12-04T08:10:26.4855129Z  fi 2025-12-04T08:10:26.4855347Z fi 2025-12-04T08:10:26.4861074Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:10:26.4861453Z env: 2025-12-04T08:10:26.4861752Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:10:26.4862216Z NO_SUDO: true 2025-12-04T08:10:26.4862431Z ##[endgroup] 2025-12-04T08:10:26.5293388Z ##[group]Run actions/checkout@v4 2025-12-04T08:10:26.5293721Z with: 2025-12-04T08:10:26.5293981Z ref: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:10:26.5294318Z fetch-depth: 0 2025-12-04T08:10:26.5294570Z submodules: recursive 2025-12-04T08:10:26.5294831Z show-progress: false 2025-12-04T08:10:26.5295088Z repository: pytorch/pytorch 2025-12-04T08:10:26.5295517Z token: *** 2025-12-04T08:10:26.5295749Z ssh-strict: true 2025-12-04T08:10:26.5295990Z ssh-user: git 2025-12-04T08:10:26.5296224Z persist-credentials: true 2025-12-04T08:10:26.5296502Z clean: true 2025-12-04T08:10:26.5296756Z sparse-checkout-cone-mode: true 2025-12-04T08:10:26.5297047Z fetch-tags: false 2025-12-04T08:10:26.5297278Z lfs: false 2025-12-04T08:10:26.5297506Z set-safe-directory: true 2025-12-04T08:10:26.5297775Z env: 2025-12-04T08:10:26.5297994Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:10:26.5298254Z ##[endgroup] 2025-12-04T08:10:26.6408927Z Syncing repository: pytorch/pytorch 2025-12-04T08:10:26.6410435Z ##[group]Getting Git version info 2025-12-04T08:10:26.6410946Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-12-04T08:10:26.6411627Z [command]/usr/bin/git version 2025-12-04T08:10:26.6597759Z git version 2.50.1 2025-12-04T08:10:26.6622402Z ##[endgroup] 2025-12-04T08:10:26.6632235Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/1c3564c1-802c-4ddb-a384-473326561b1f/.gitconfig' 2025-12-04T08:10:26.6651626Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/1c3564c1-802c-4ddb-a384-473326561b1f' before making global git config changes 2025-12-04T08:10:26.6652625Z Adding repository directory to the temporary git global config as a safe directory 2025-12-04T08:10:26.6657041Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T08:10:26.6708228Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-12-04T08:10:26.6711615Z ##[group]Initializing the repository 2025-12-04T08:10:26.6715895Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T08:10:26.6779056Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-12-04T08:10:26.6779656Z hint: is subject to change. To configure the initial branch name to use in all 2025-12-04T08:10:26.6780237Z hint: of your new repositories, which will suppress this warning, call: 2025-12-04T08:10:26.6780661Z hint: 2025-12-04T08:10:26.6780974Z hint: git config --global init.defaultBranch 2025-12-04T08:10:26.6781336Z hint: 2025-12-04T08:10:26.6781677Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-12-04T08:10:26.6782275Z hint: 'development'. The just-created branch can be renamed via this command: 2025-12-04T08:10:26.6782712Z hint: 2025-12-04T08:10:26.6782935Z hint: git branch -m 2025-12-04T08:10:26.6783208Z hint: 2025-12-04T08:10:26.6783567Z hint: Disable this message with "git config set advice.defaultBranchName false" 2025-12-04T08:10:26.6789412Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2025-12-04T08:10:26.6798271Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-12-04T08:10:26.6835570Z ##[endgroup] 2025-12-04T08:10:26.6836027Z ##[group]Disabling automatic garbage collection 2025-12-04T08:10:26.6839736Z [command]/usr/bin/git config --local gc.auto 0 2025-12-04T08:10:26.6863027Z ##[endgroup] 2025-12-04T08:10:26.6863420Z ##[group]Setting up auth 2025-12-04T08:10:26.6869619Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-12-04T08:10:26.6894588Z [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' || :" 2025-12-04T08:10:26.7198742Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-12-04T08:10:26.7223790Z [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' || :" 2025-12-04T08:10:26.7541307Z [command]/usr/bin/git config --local --name-only --get-regexp ^includeIf\.gitdir: 2025-12-04T08:10:26.7567846Z [command]/usr/bin/git submodule foreach --recursive git config --local --show-origin --name-only --get-regexp remote.origin.url 2025-12-04T08:10:26.7844325Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-12-04T08:10:26.7885504Z ##[endgroup] 2025-12-04T08:10:26.7885940Z ##[group]Fetching the repository 2025-12-04T08:10:26.7893728Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-12-04T08:11:15.2855928Z From https://github.com/pytorch/pytorch 2025-12-04T08:11:15.2856468Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-12-04T08:11:15.2857088Z * [new branch] 2.9.1 -> origin/2.9.1 2025-12-04T08:11:15.2857677Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-12-04T08:11:15.2858337Z * [new branch] Flamefire-patch-1 -> origin/Flamefire-patch-1 2025-12-04T08:11:15.2859384Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-12-04T08:11:15.2860199Z * [new branch] HOPrintFunc -> origin/HOPrintFunc 2025-12-04T08:11:15.2862349Z * [new branch] IvanKobzarev/stack/1 -> origin/IvanKobzarev/stack/1 2025-12-04T08:11:15.2864222Z * [new branch] NicoshevSVE128 -> origin/NicoshevSVE128 2025-12-04T08:11:15.2865089Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-12-04T08:11:15.2866368Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-12-04T08:11:15.2867536Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-12-04T08:11:15.2868523Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-12-04T08:11:15.2869655Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-12-04T08:11:15.2870826Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-12-04T08:11:15.2871921Z * [new branch] VLA_exp -> origin/VLA_exp 2025-12-04T08:11:15.2873692Z * [new branch] activation_bench -> origin/activation_bench 2025-12-04T08:11:15.2875223Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-12-04T08:11:15.2876780Z * [new branch] adi/onednn_aarch64 -> origin/adi/onednn_aarch64 2025-12-04T08:11:15.2877885Z * [new branch] adi/test -> origin/adi/test 2025-12-04T08:11:15.2879249Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-12-04T08:11:15.2880328Z * [new branch] adi/test_m8g -> origin/adi/test_m8g 2025-12-04T08:11:15.2881463Z * [new branch] adi/test_onednn -> origin/adi/test_onednn 2025-12-04T08:11:15.2882600Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-12-04T08:11:15.2883758Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-12-04T08:11:15.2884803Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-12-04T08:11:15.2886351Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-12-04T08:11:15.2888434Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-12-04T08:11:15.2889714Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-12-04T08:11:15.2890988Z * [new branch] albanD-patch-1 -> origin/albanD-patch-1 2025-12-04T08:11:15.2892089Z * [new branch] also-surround-shimh -> origin/also-surround-shimh 2025-12-04T08:11:15.2894321Z * [new branch] angelayi/aot_compile -> origin/angelayi/aot_compile 2025-12-04T08:11:15.2895053Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-12-04T08:11:15.2896070Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-12-04T08:11:15.2897294Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-12-04T08:11:15.2898252Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-12-04T08:11:15.2899436Z * [new branch] angelayi/inductor_const -> origin/angelayi/inductor_const 2025-12-04T08:11:15.2900394Z * [new branch] angelayi/lstm -> origin/angelayi/lstm 2025-12-04T08:11:15.2902024Z * [new branch] angelayi/no_so_weight -> origin/angelayi/no_so_weight 2025-12-04T08:11:15.2903497Z * [new branch] angelayi/scan_layers -> origin/angelayi/scan_layers 2025-12-04T08:11:15.2904541Z * [new branch] angelayi/side_eff -> origin/angelayi/side_eff 2025-12-04T08:11:15.2905666Z * [new branch] angelayi/state_dict -> origin/angelayi/state_dict 2025-12-04T08:11:15.2906866Z * [new branch] angelayi/symint_input -> origin/angelayi/symint_input 2025-12-04T08:11:15.2908127Z * [new branch] angelayi/symm_mem -> origin/angelayi/symm_mem 2025-12-04T08:11:15.2909166Z * [new branch] angelayi/test_cpp -> origin/angelayi/test_cpp 2025-12-04T08:11:15.2910428Z * [new branch] angelayi/torch_size -> origin/angelayi/torch_size 2025-12-04T08:11:15.2911510Z * [new branch] annotate_assert -> origin/annotate_assert 2025-12-04T08:11:15.2912688Z * [new branch] annotate_fallback_kernel -> origin/annotate_fallback_kernel 2025-12-04T08:11:15.2913808Z * [new branch] annotation_deepcopy -> origin/annotation_deepcopy 2025-12-04T08:11:15.2914942Z * [new branch] annotation_dynamo -> origin/annotation_dynamo 2025-12-04T08:11:15.2916030Z * [new branch] aot_eager_stack_trace -> origin/aot_eager_stack_trace 2025-12-04T08:11:15.2917129Z * [new 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zhxchen17/export/disable_side_effect_warn -> origin/zhxchen17/export/disable_side_effect_warn 2025-12-04T08:11:15.9304045Z * [new branch] zhxchen17/export/pytree_check -> origin/zhxchen17/export/pytree_check 2025-12-04T08:11:15.9305650Z * [new branch] zhxchen17/precompile/aoti -> origin/zhxchen17/precompile/aoti 2025-12-04T08:11:15.9306995Z * [new branch] zhxchen17/precompile/globals -> origin/zhxchen17/precompile/globals 2025-12-04T08:11:15.9308288Z * [new branch] zhxchen17/precompile/inductor_guards -> origin/zhxchen17/precompile/inductor_guards 2025-12-04T08:11:15.9309855Z * [new branch] zhxchen17/scratch/0 -> origin/zhxchen17/scratch/0 2025-12-04T08:11:15.9311240Z * [new branch] zhxchen17/torch_export_api_update -> origin/zhxchen17/torch_export_api_update 2025-12-04T08:11:15.9312936Z * [new branch] zhxhcen17/moodycamel -> origin/zhxhcen17/moodycamel 2025-12-04T08:11:15.9314777Z * [new branch] zxiiro/build-times -> origin/zxiiro/build-times 2025-12-04T08:11:15.9316102Z * [new branch] zxiiro/c7i.2xlarge -> origin/zxiiro/c7i.2xlarge 2025-12-04T08:11:15.9317466Z * [new branch] zxiiro/c7i.2xlarge.h100 -> origin/zxiiro/c7i.2xlarge.h100 2025-12-04T08:11:15.9318837Z * [new branch] zxiiro/main -> origin/zxiiro/main 2025-12-04T08:11:15.9320133Z * [new branch] zxiiro/risc64 -> origin/zxiiro/risc64 2025-12-04T08:11:15.9321438Z * [new branch] zxiiro/test-multicloud-arc -> origin/zxiiro/test-multicloud-arc 2025-12-04T08:11:15.9322831Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-12-04T08:11:15.9323721Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-12-04T08:11:15.9324868Z * [new tag] ciflow/b200/115316 -> ciflow/b200/115316 2025-12-04T08:11:15.9325635Z * [new tag] ciflow/b200/160685 -> ciflow/b200/160685 2025-12-04T08:11:15.9326536Z * [new tag] ciflow/b200/161607 -> ciflow/b200/161607 2025-12-04T08:11:15.9327280Z * [new tag] ciflow/b200/161938 -> ciflow/b200/161938 2025-12-04T08:11:15.9328339Z * [new tag] ciflow/b200/167207 -> ciflow/b200/167207 2025-12-04T08:11:15.9329108Z * [new tag] ciflow/b200/167989 -> ciflow/b200/167989 2025-12-04T08:11:15.9330177Z * [new tag] ciflow/b200/168096 -> ciflow/b200/168096 2025-12-04T08:11:15.9331154Z * [new tag] ciflow/b200/168175 -> ciflow/b200/168175 2025-12-04T08:11:15.9331916Z * [new tag] ciflow/b200/168195 -> ciflow/b200/168195 2025-12-04T08:11:15.9333043Z * [new tag] ciflow/b200/169200 -> ciflow/b200/169200 2025-12-04T08:11:15.9333827Z * [new tag] ciflow/b200/169216 -> ciflow/b200/169216 2025-12-04T08:11:15.9335166Z * [new tag] ciflow/b200/169380 -> ciflow/b200/169380 2025-12-04T08:11:15.9336523Z * [new tag] ciflow/b200/169412 -> ciflow/b200/169412 2025-12-04T08:11:15.9337608Z * [new tag] ciflow/b200/169470 -> ciflow/b200/169470 2025-12-04T08:11:15.9338512Z * [new tag] ciflow/b200/169471 -> ciflow/b200/169471 2025-12-04T08:11:15.9339441Z * [new tag] ciflow/b200/169472 -> ciflow/b200/169472 2025-12-04T08:11:15.9340508Z * [new tag] ciflow/b200/169514 -> ciflow/b200/169514 2025-12-04T08:11:15.9341830Z * [new tag] ciflow/b200/169517 -> ciflow/b200/169517 2025-12-04T08:11:15.9343019Z * [new tag] ciflow/binaries/165922 -> ciflow/binaries/165922 2025-12-04T08:11:15.9343798Z * [new tag] ciflow/binaries/169510 -> ciflow/binaries/169510 2025-12-04T08:11:15.9345060Z * [new tag] ciflow/binaries_wheel/157994 -> ciflow/binaries_wheel/157994 2025-12-04T08:11:15.9346061Z * [new tag] ciflow/binaries_wheel/166829 -> ciflow/binaries_wheel/166829 2025-12-04T08:11:15.9346829Z * [new tag] ciflow/binaries_wheel/167972 -> ciflow/binaries_wheel/167972 2025-12-04T08:11:15.9347839Z * [new tag] ciflow/binaries_wheel/167981 -> ciflow/binaries_wheel/167981 2025-12-04T08:11:15.9349241Z * [new tag] ciflow/dynamo/167695 -> ciflow/dynamo/167695 2025-12-04T08:11:15.9350156Z * [new tag] ciflow/dynamo/168096 -> ciflow/dynamo/168096 2025-12-04T08:11:15.9351271Z * [new tag] ciflow/h100-cutlass-backend/161938 -> ciflow/h100-cutlass-backend/161938 2025-12-04T08:11:15.9352044Z * [new tag] ciflow/h100-cutlass-backend/161940 -> ciflow/h100-cutlass-backend/161940 2025-12-04T08:11:15.9353209Z * [new tag] ciflow/h100-distributed/168923 -> ciflow/h100-distributed/168923 2025-12-04T08:11:15.9354239Z * [new tag] ciflow/h100-symm-mem/167552 -> ciflow/h100-symm-mem/167552 2025-12-04T08:11:15.9355028Z * [new tag] ciflow/h100-symm-mem/168129 -> ciflow/h100-symm-mem/168129 2025-12-04T08:11:15.9355809Z * [new tag] ciflow/h100-symm-mem/168917 -> ciflow/h100-symm-mem/168917 2025-12-04T08:11:15.9357039Z * [new tag] ciflow/h100-symm-mem/169156 -> ciflow/h100-symm-mem/169156 2025-12-04T08:11:15.9357806Z * [new tag] ciflow/h100-symm-mem/169200 -> ciflow/h100-symm-mem/169200 2025-12-04T08:11:15.9358851Z * [new tag] ciflow/h100-symm-mem/169216 -> ciflow/h100-symm-mem/169216 2025-12-04T08:11:15.9359595Z * [new tag] ciflow/h100-symm-mem/169338 -> ciflow/h100-symm-mem/169338 2025-12-04T08:11:15.9360736Z * [new tag] ciflow/h100-symm-mem/169355 -> ciflow/h100-symm-mem/169355 2025-12-04T08:11:15.9361489Z * [new tag] ciflow/h100-symm-mem/169543 -> ciflow/h100-symm-mem/169543 2025-12-04T08:11:15.9362663Z * [new tag] ciflow/h100/115316 -> ciflow/h100/115316 2025-12-04T08:11:15.9363434Z * [new tag] ciflow/h100/160685 -> ciflow/h100/160685 2025-12-04T08:11:15.9364356Z * [new tag] ciflow/h100/160729 -> ciflow/h100/160729 2025-12-04T08:11:15.9365125Z * [new tag] ciflow/h100/161607 -> ciflow/h100/161607 2025-12-04T08:11:15.9366047Z * [new tag] ciflow/h100/161938 -> ciflow/h100/161938 2025-12-04T08:11:15.9366823Z * [new tag] ciflow/h100/167207 -> ciflow/h100/167207 2025-12-04T08:11:15.9367723Z * [new tag] ciflow/h100/167989 -> ciflow/h100/167989 2025-12-04T08:11:15.9368543Z * [new tag] ciflow/h100/168096 -> ciflow/h100/168096 2025-12-04T08:11:15.9369324Z * [new tag] ciflow/h100/168175 -> ciflow/h100/168175 2025-12-04T08:11:15.9370228Z * [new tag] ciflow/h100/168195 -> ciflow/h100/168195 2025-12-04T08:11:15.9371016Z * [new tag] ciflow/h100/168980 -> ciflow/h100/168980 2025-12-04T08:11:15.9372266Z * [new tag] ciflow/h100/169200 -> ciflow/h100/169200 2025-12-04T08:11:15.9373650Z * [new tag] ciflow/h100/169216 -> ciflow/h100/169216 2025-12-04T08:11:15.9374713Z * [new tag] ciflow/h100/169380 -> ciflow/h100/169380 2025-12-04T08:11:15.9375617Z * [new tag] ciflow/h100/169412 -> ciflow/h100/169412 2025-12-04T08:11:15.9376518Z * [new tag] ciflow/h100/169470 -> ciflow/h100/169470 2025-12-04T08:11:15.9377400Z * [new tag] ciflow/h100/169471 -> ciflow/h100/169471 2025-12-04T08:11:15.9378318Z * [new tag] ciflow/h100/169472 -> ciflow/h100/169472 2025-12-04T08:11:15.9379100Z * [new tag] ciflow/h100/169514 -> ciflow/h100/169514 2025-12-04T08:11:15.9380279Z * [new tag] ciflow/inductor-cu126/168096 -> ciflow/inductor-cu126/168096 2025-12-04T08:11:15.9381682Z * [new tag] ciflow/inductor-micro-benchmark-cpu-x86/168096 -> ciflow/inductor-micro-benchmark-cpu-x86/168096 2025-12-04T08:11:15.9382613Z * [new tag] ciflow/inductor-micro-benchmark/166165 -> ciflow/inductor-micro-benchmark/166165 2025-12-04T08:11:15.9383490Z * [new tag] ciflow/inductor-micro-benchmark/168096 -> ciflow/inductor-micro-benchmark/168096 2025-12-04T08:11:15.9384583Z * [new tag] ciflow/inductor-perf-compare/168096 -> ciflow/inductor-perf-compare/168096 2025-12-04T08:11:15.9386101Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/168073 -> ciflow/inductor-perf-test-nightly-rocm-mi300/168073 2025-12-04T08:11:15.9386835Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/168096 -> ciflow/inductor-perf-test-nightly-rocm-mi300/168096 2025-12-04T08:11:15.9387950Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/169024 -> ciflow/inductor-perf-test-nightly-rocm-mi300/169024 2025-12-04T08:11:15.9388919Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi355/169024 -> ciflow/inductor-perf-test-nightly-rocm-mi355/169024 2025-12-04T08:11:15.9389815Z * [new tag] ciflow/inductor-perf-test-nightly/168096 -> ciflow/inductor-perf-test-nightly/168096 2025-12-04T08:11:15.9390834Z * [new tag] ciflow/inductor-periodic/168096 -> ciflow/inductor-periodic/168096 2025-12-04T08:11:15.9391626Z * [new tag] ciflow/inductor-periodic/169024 -> ciflow/inductor-periodic/169024 2025-12-04T08:11:15.9392671Z * [new tag] ciflow/inductor-periodic/169425 -> ciflow/inductor-periodic/169425 2025-12-04T08:11:15.9393797Z * [new tag] ciflow/inductor-rocm-mi200/165545 -> ciflow/inductor-rocm-mi200/165545 2025-12-04T08:11:15.9394841Z * [new tag] ciflow/inductor-rocm-mi200/165997 -> ciflow/inductor-rocm-mi200/165997 2025-12-04T08:11:15.9395610Z * [new tag] ciflow/inductor-rocm-mi200/168096 -> ciflow/inductor-rocm-mi200/168096 2025-12-04T08:11:15.9396684Z * [new tag] ciflow/inductor-rocm-mi200/169063 -> ciflow/inductor-rocm-mi200/169063 2025-12-04T08:11:15.9397453Z * [new tag] ciflow/inductor-rocm-mi200/169425 -> ciflow/inductor-rocm-mi200/169425 2025-12-04T08:11:15.9398671Z * [new tag] ciflow/inductor-rocm-mi300/165545 -> ciflow/inductor-rocm-mi300/165545 2025-12-04T08:11:15.9399464Z * [new tag] ciflow/inductor-rocm-mi300/168096 -> ciflow/inductor-rocm-mi300/168096 2025-12-04T08:11:15.9400343Z * [new tag] ciflow/inductor-rocm-mi300/169063 -> ciflow/inductor-rocm-mi300/169063 2025-12-04T08:11:15.9401081Z * [new tag] ciflow/inductor-rocm-mi300/169425 -> ciflow/inductor-rocm-mi300/169425 2025-12-04T08:11:15.9402279Z * [new tag] ciflow/inductor-rocm/162052 -> ciflow/inductor-rocm/162052 2025-12-04T08:11:15.9403040Z * [new tag] ciflow/inductor-rocm/168971 -> ciflow/inductor-rocm/168971 2025-12-04T08:11:15.9404131Z * [new tag] ciflow/inductor-windows/168096 -> ciflow/inductor-windows/168096 2025-12-04T08:11:15.9405116Z * [new tag] ciflow/inductor/144542 -> ciflow/inductor/144542 2025-12-04T08:11:15.9405893Z * [new tag] ciflow/inductor/146506 -> ciflow/inductor/146506 2025-12-04T08:11:15.9406698Z * [new tag] ciflow/inductor/147990 -> ciflow/inductor/147990 2025-12-04T08:11:15.9407762Z * [new tag] ciflow/inductor/148294 -> ciflow/inductor/148294 2025-12-04T08:11:15.9408517Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-12-04T08:11:15.9409457Z * [new tag] ciflow/inductor/157149 -> ciflow/inductor/157149 2025-12-04T08:11:15.9410407Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-12-04T08:11:15.9411164Z * [new tag] ciflow/inductor/160174 -> ciflow/inductor/160174 2025-12-04T08:11:15.9412533Z * [new tag] ciflow/inductor/160685 -> ciflow/inductor/160685 2025-12-04T08:11:15.9413283Z * [new tag] ciflow/inductor/160686 -> ciflow/inductor/160686 2025-12-04T08:11:15.9414244Z * [new tag] ciflow/inductor/160687 -> ciflow/inductor/160687 2025-12-04T08:11:15.9415345Z * [new tag] ciflow/inductor/160688 -> ciflow/inductor/160688 2025-12-04T08:11:15.9416492Z * [new tag] ciflow/inductor/160706 -> ciflow/inductor/160706 2025-12-04T08:11:15.9417542Z * [new tag] ciflow/inductor/160729 -> ciflow/inductor/160729 2025-12-04T08:11:15.9418533Z * [new tag] ciflow/inductor/161938 -> ciflow/inductor/161938 2025-12-04T08:11:15.9419352Z * [new tag] ciflow/inductor/161939 -> ciflow/inductor/161939 2025-12-04T08:11:15.9420275Z * [new tag] ciflow/inductor/161940 -> ciflow/inductor/161940 2025-12-04T08:11:15.9421077Z * [new tag] ciflow/inductor/162052 -> ciflow/inductor/162052 2025-12-04T08:11:15.9422007Z * [new tag] ciflow/inductor/162275 -> ciflow/inductor/162275 2025-12-04T08:11:15.9422790Z * [new tag] ciflow/inductor/162795 -> ciflow/inductor/162795 2025-12-04T08:11:15.9423972Z * [new tag] ciflow/inductor/163245 -> ciflow/inductor/163245 2025-12-04T08:11:15.9424876Z * [new tag] ciflow/inductor/163335 -> ciflow/inductor/163335 2025-12-04T08:11:15.9425803Z * [new tag] ciflow/inductor/163503 -> ciflow/inductor/163503 2025-12-04T08:11:15.9426580Z * [new tag] ciflow/inductor/163942 -> ciflow/inductor/163942 2025-12-04T08:11:15.9427694Z * [new tag] ciflow/inductor/165270 -> ciflow/inductor/165270 2025-12-04T08:11:15.9428487Z * [new tag] ciflow/inductor/165274 -> ciflow/inductor/165274 2025-12-04T08:11:15.9429444Z * [new tag] ciflow/inductor/165322 -> ciflow/inductor/165322 2025-12-04T08:11:15.9430269Z * [new tag] ciflow/inductor/165597 -> ciflow/inductor/165597 2025-12-04T08:11:15.9431194Z * [new tag] ciflow/inductor/166063 -> ciflow/inductor/166063 2025-12-04T08:11:15.9432018Z * [new tag] ciflow/inductor/166075 -> ciflow/inductor/166075 2025-12-04T08:11:15.9432943Z * [new tag] ciflow/inductor/166165 -> ciflow/inductor/166165 2025-12-04T08:11:15.9434199Z * [new tag] ciflow/inductor/166254 -> ciflow/inductor/166254 2025-12-04T08:11:15.9434941Z * [new tag] ciflow/inductor/166483 -> ciflow/inductor/166483 2025-12-04T08:11:15.9435924Z * [new tag] ciflow/inductor/166494 -> ciflow/inductor/166494 2025-12-04T08:11:15.9436710Z * [new tag] ciflow/inductor/166545 -> ciflow/inductor/166545 2025-12-04T08:11:15.9437638Z * [new tag] ciflow/inductor/166788 -> ciflow/inductor/166788 2025-12-04T08:11:15.9438895Z * [new tag] ciflow/inductor/166846 -> ciflow/inductor/166846 2025-12-04T08:11:15.9439681Z * [new tag] ciflow/inductor/167300 -> ciflow/inductor/167300 2025-12-04T08:11:15.9440700Z * [new tag] ciflow/inductor/167407 -> ciflow/inductor/167407 2025-12-04T08:11:15.9441722Z * [new tag] ciflow/inductor/167536 -> ciflow/inductor/167536 2025-12-04T08:11:15.9442647Z * [new tag] ciflow/inductor/167552 -> ciflow/inductor/167552 2025-12-04T08:11:15.9443582Z * [new tag] ciflow/inductor/167555 -> ciflow/inductor/167555 2025-12-04T08:11:15.9444573Z * [new tag] ciflow/inductor/167583 -> ciflow/inductor/167583 2025-12-04T08:11:15.9445399Z * [new tag] ciflow/inductor/167599 -> ciflow/inductor/167599 2025-12-04T08:11:15.9446344Z * [new tag] ciflow/inductor/167647 -> ciflow/inductor/167647 2025-12-04T08:11:15.9447264Z * [new tag] ciflow/inductor/167677 -> ciflow/inductor/167677 2025-12-04T08:11:15.9448064Z * [new tag] ciflow/inductor/167680 -> ciflow/inductor/167680 2025-12-04T08:11:15.9449034Z * [new tag] ciflow/inductor/167695 -> ciflow/inductor/167695 2025-12-04T08:11:15.9449858Z * [new tag] ciflow/inductor/167742 -> ciflow/inductor/167742 2025-12-04T08:11:15.9450821Z * [new tag] ciflow/inductor/167768 -> ciflow/inductor/167768 2025-12-04T08:11:15.9451978Z * [new tag] ciflow/inductor/167773 -> ciflow/inductor/167773 2025-12-04T08:11:15.9452764Z * [new tag] ciflow/inductor/167781 -> ciflow/inductor/167781 2025-12-04T08:11:15.9453820Z * [new tag] ciflow/inductor/167880 -> ciflow/inductor/167880 2025-12-04T08:11:15.9454754Z * [new tag] ciflow/inductor/167887 -> ciflow/inductor/167887 2025-12-04T08:11:15.9455551Z * [new tag] ciflow/inductor/167972 -> ciflow/inductor/167972 2025-12-04T08:11:15.9456775Z * [new tag] ciflow/inductor/167989 -> ciflow/inductor/167989 2025-12-04T08:11:15.9457586Z * [new tag] ciflow/inductor/168002 -> ciflow/inductor/168002 2025-12-04T08:11:15.9458563Z * [new tag] ciflow/inductor/168050 -> ciflow/inductor/168050 2025-12-04T08:11:15.9459353Z * [new tag] ciflow/inductor/168051 -> ciflow/inductor/168051 2025-12-04T08:11:15.9460339Z * [new tag] ciflow/inductor/168052 -> ciflow/inductor/168052 2025-12-04T08:11:15.9461172Z * [new tag] ciflow/inductor/168073 -> ciflow/inductor/168073 2025-12-04T08:11:15.9462099Z * [new tag] ciflow/inductor/168096 -> ciflow/inductor/168096 2025-12-04T08:11:15.9462924Z * [new tag] ciflow/inductor/168114 -> ciflow/inductor/168114 2025-12-04T08:11:15.9463870Z * [new tag] ciflow/inductor/168115 -> ciflow/inductor/168115 2025-12-04T08:11:15.9464789Z * [new tag] ciflow/inductor/168127 -> ciflow/inductor/168127 2025-12-04T08:11:15.9465600Z * [new tag] ciflow/inductor/168129 -> ciflow/inductor/168129 2025-12-04T08:11:15.9466563Z * [new tag] ciflow/inductor/168157 -> ciflow/inductor/168157 2025-12-04T08:11:15.9467530Z * [new tag] ciflow/inductor/168175 -> ciflow/inductor/168175 2025-12-04T08:11:15.9468398Z * [new tag] ciflow/inductor/168185 -> ciflow/inductor/168185 2025-12-04T08:11:15.9469205Z * [new tag] ciflow/inductor/168195 -> ciflow/inductor/168195 2025-12-04T08:11:15.9470228Z * [new tag] ciflow/inductor/168209 -> ciflow/inductor/168209 2025-12-04T08:11:15.9471143Z * [new tag] ciflow/inductor/168266 -> ciflow/inductor/168266 2025-12-04T08:11:15.9472446Z * [new tag] ciflow/inductor/168316 -> ciflow/inductor/168316 2025-12-04T08:11:15.9473775Z * [new tag] ciflow/inductor/168326 -> ciflow/inductor/168326 2025-12-04T08:11:15.9474735Z * [new tag] ciflow/inductor/168368 -> ciflow/inductor/168368 2025-12-04T08:11:15.9475531Z * [new tag] ciflow/inductor/168894 -> ciflow/inductor/168894 2025-12-04T08:11:15.9476512Z * [new tag] ciflow/inductor/168934 -> ciflow/inductor/168934 2025-12-04T08:11:15.9477436Z * [new tag] ciflow/inductor/168939 -> ciflow/inductor/168939 2025-12-04T08:11:15.9478286Z * [new tag] ciflow/inductor/168946 -> ciflow/inductor/168946 2025-12-04T08:11:15.9479295Z * [new tag] ciflow/inductor/168950 -> ciflow/inductor/168950 2025-12-04T08:11:15.9480077Z * [new tag] ciflow/inductor/168951 -> ciflow/inductor/168951 2025-12-04T08:11:15.9481056Z * [new tag] ciflow/inductor/168952 -> ciflow/inductor/168952 2025-12-04T08:11:15.9481862Z * [new tag] ciflow/inductor/168955 -> ciflow/inductor/168955 2025-12-04T08:11:15.9482849Z * [new tag] ciflow/inductor/168971 -> ciflow/inductor/168971 2025-12-04T08:11:15.9483634Z * [new tag] ciflow/inductor/168979 -> ciflow/inductor/168979 2025-12-04T08:11:15.9484585Z * [new tag] ciflow/inductor/168980 -> ciflow/inductor/168980 2025-12-04T08:11:15.9485707Z * [new tag] ciflow/inductor/168983 -> ciflow/inductor/168983 2025-12-04T08:11:15.9486587Z * [new tag] ciflow/inductor/169006 -> ciflow/inductor/169006 2025-12-04T08:11:15.9487416Z * [new tag] ciflow/inductor/169023 -> ciflow/inductor/169023 2025-12-04T08:11:15.9488370Z * [new tag] ciflow/inductor/169024 -> ciflow/inductor/169024 2025-12-04T08:11:15.9489302Z * [new tag] ciflow/inductor/169025 -> ciflow/inductor/169025 2025-12-04T08:11:15.9490112Z * [new tag] ciflow/inductor/169066 -> ciflow/inductor/169066 2025-12-04T08:11:15.9491099Z * [new tag] ciflow/inductor/169091 -> ciflow/inductor/169091 2025-12-04T08:11:15.9492034Z * [new tag] ciflow/inductor/169102 -> ciflow/inductor/169102 2025-12-04T08:11:15.9492847Z * [new tag] ciflow/inductor/169103 -> ciflow/inductor/169103 2025-12-04T08:11:15.9493827Z * [new tag] ciflow/inductor/169121 -> ciflow/inductor/169121 2025-12-04T08:11:15.9494743Z * [new tag] ciflow/inductor/169134 -> ciflow/inductor/169134 2025-12-04T08:11:15.9495526Z * [new tag] ciflow/inductor/169135 -> ciflow/inductor/169135 2025-12-04T08:11:15.9496519Z * [new tag] ciflow/inductor/169141 -> ciflow/inductor/169141 2025-12-04T08:11:15.9497282Z * [new tag] ciflow/inductor/169151 -> ciflow/inductor/169151 2025-12-04T08:11:15.9498430Z * [new tag] ciflow/inductor/169161 -> ciflow/inductor/169161 2025-12-04T08:11:15.9499179Z * [new tag] ciflow/inductor/169167 -> ciflow/inductor/169167 2025-12-04T08:11:15.9500449Z * [new tag] ciflow/inductor/169177 -> ciflow/inductor/169177 2025-12-04T08:11:15.9501474Z * [new tag] ciflow/inductor/169185 -> ciflow/inductor/169185 2025-12-04T08:11:15.9502412Z * [new tag] ciflow/inductor/169196 -> ciflow/inductor/169196 2025-12-04T08:11:15.9503297Z * [new tag] ciflow/inductor/169200 -> ciflow/inductor/169200 2025-12-04T08:11:15.9504078Z * [new tag] ciflow/inductor/169204 -> ciflow/inductor/169204 2025-12-04T08:11:15.9505098Z * [new tag] ciflow/inductor/169216 -> ciflow/inductor/169216 2025-12-04T08:11:15.9505892Z * [new tag] ciflow/inductor/169219 -> ciflow/inductor/169219 2025-12-04T08:11:15.9506851Z * [new tag] ciflow/inductor/169220 -> ciflow/inductor/169220 2025-12-04T08:11:15.9507936Z * [new tag] ciflow/inductor/169230 -> ciflow/inductor/169230 2025-12-04T08:11:15.9508730Z * [new tag] ciflow/inductor/169242 -> ciflow/inductor/169242 2025-12-04T08:11:15.9509769Z * [new tag] ciflow/inductor/169245 -> ciflow/inductor/169245 2025-12-04T08:11:15.9510742Z * [new tag] ciflow/inductor/169260 -> ciflow/inductor/169260 2025-12-04T08:11:15.9511692Z * [new tag] ciflow/inductor/169282 -> ciflow/inductor/169282 2025-12-04T08:11:15.9512611Z * [new tag] ciflow/inductor/169286 -> ciflow/inductor/169286 2025-12-04T08:11:15.9513448Z * [new tag] ciflow/inductor/169299 -> ciflow/inductor/169299 2025-12-04T08:11:15.9514517Z * [new tag] ciflow/inductor/169304 -> ciflow/inductor/169304 2025-12-04T08:11:15.9515876Z * [new tag] ciflow/inductor/169305 -> ciflow/inductor/169305 2025-12-04T08:11:15.9516698Z * [new tag] ciflow/inductor/169308 -> ciflow/inductor/169308 2025-12-04T08:11:15.9517686Z * [new tag] ciflow/inductor/169319 -> ciflow/inductor/169319 2025-12-04T08:11:15.9518712Z * [new tag] ciflow/inductor/169326 -> ciflow/inductor/169326 2025-12-04T08:11:15.9519500Z * [new tag] ciflow/inductor/169332 -> ciflow/inductor/169332 2025-12-04T08:11:15.9520464Z * [new tag] ciflow/inductor/169333 -> ciflow/inductor/169333 2025-12-04T08:11:15.9521593Z * [new tag] ciflow/inductor/169336 -> ciflow/inductor/169336 2025-12-04T08:11:15.9522409Z * [new tag] ciflow/inductor/169340 -> ciflow/inductor/169340 2025-12-04T08:11:15.9523394Z * [new tag] ciflow/inductor/169341 -> ciflow/inductor/169341 2025-12-04T08:11:15.9524289Z * [new tag] ciflow/inductor/169343 -> ciflow/inductor/169343 2025-12-04T08:11:15.9525099Z * [new tag] ciflow/inductor/169346 -> ciflow/inductor/169346 2025-12-04T08:11:15.9526203Z * [new tag] ciflow/inductor/169348 -> ciflow/inductor/169348 2025-12-04T08:11:15.9527217Z * [new tag] ciflow/inductor/169350 -> ciflow/inductor/169350 2025-12-04T08:11:15.9528165Z * [new tag] ciflow/inductor/169355 -> ciflow/inductor/169355 2025-12-04T08:11:15.9529113Z * [new tag] ciflow/inductor/169370 -> ciflow/inductor/169370 2025-12-04T08:11:15.9530353Z * [new tag] ciflow/inductor/169375 -> ciflow/inductor/169375 2025-12-04T08:11:15.9531377Z * [new tag] ciflow/inductor/169389 -> ciflow/inductor/169389 2025-12-04T08:11:15.9532191Z * [new tag] ciflow/inductor/169391 -> ciflow/inductor/169391 2025-12-04T08:11:15.9533566Z * [new tag] ciflow/inductor/169393 -> ciflow/inductor/169393 2025-12-04T08:11:15.9534358Z * [new tag] ciflow/inductor/169399 -> ciflow/inductor/169399 2025-12-04T08:11:15.9535509Z * [new tag] ciflow/inductor/169400 -> ciflow/inductor/169400 2025-12-04T08:11:15.9536420Z * [new tag] ciflow/inductor/169415 -> ciflow/inductor/169415 2025-12-04T08:11:15.9537325Z * [new tag] ciflow/inductor/169417 -> ciflow/inductor/169417 2025-12-04T08:11:15.9538285Z * [new tag] ciflow/inductor/169418 -> ciflow/inductor/169418 2025-12-04T08:11:15.9539600Z * [new tag] ciflow/inductor/169430 -> ciflow/inductor/169430 2025-12-04T08:11:15.9540372Z * [new tag] ciflow/inductor/169432 -> ciflow/inductor/169432 2025-12-04T08:11:15.9541331Z * [new tag] ciflow/inductor/169436 -> ciflow/inductor/169436 2025-12-04T08:11:15.9542394Z * [new tag] ciflow/inductor/169437 -> ciflow/inductor/169437 2025-12-04T08:11:15.9543288Z * [new tag] ciflow/inductor/169438 -> ciflow/inductor/169438 2025-12-04T08:11:15.9544257Z * [new tag] ciflow/inductor/169441 -> ciflow/inductor/169441 2025-12-04T08:11:15.9545175Z * [new tag] ciflow/inductor/169446 -> ciflow/inductor/169446 2025-12-04T08:11:15.9546239Z * [new tag] ciflow/inductor/169447 -> ciflow/inductor/169447 2025-12-04T08:11:15.9547046Z * [new tag] ciflow/inductor/169452 -> ciflow/inductor/169452 2025-12-04T08:11:15.9548171Z * [new tag] ciflow/inductor/169455 -> ciflow/inductor/169455 2025-12-04T08:11:15.9548978Z * [new tag] ciflow/inductor/169459 -> ciflow/inductor/169459 2025-12-04T08:11:15.9550063Z * [new tag] ciflow/inductor/169463 -> ciflow/inductor/169463 2025-12-04T08:11:15.9551107Z * [new tag] ciflow/inductor/169476 -> ciflow/inductor/169476 2025-12-04T08:11:15.9551917Z * [new tag] ciflow/inductor/169485 -> ciflow/inductor/169485 2025-12-04T08:11:15.9552903Z * [new tag] ciflow/inductor/169493 -> ciflow/inductor/169493 2025-12-04T08:11:15.9553868Z * [new tag] ciflow/inductor/169496 -> ciflow/inductor/169496 2025-12-04T08:11:15.9554681Z * [new tag] ciflow/inductor/169497 -> ciflow/inductor/169497 2025-12-04T08:11:15.9555713Z * [new tag] ciflow/inductor/169503 -> ciflow/inductor/169503 2025-12-04T08:11:15.9556512Z * [new tag] ciflow/inductor/169504 -> ciflow/inductor/169504 2025-12-04T08:11:15.9557739Z * [new tag] ciflow/inductor/169505 -> ciflow/inductor/169505 2025-12-04T08:11:15.9559249Z * [new tag] ciflow/inductor/169508 -> ciflow/inductor/169508 2025-12-04T08:11:15.9560176Z * [new tag] ciflow/inductor/169509 -> ciflow/inductor/169509 2025-12-04T08:11:15.9561089Z * [new tag] ciflow/inductor/169513 -> ciflow/inductor/169513 2025-12-04T08:11:15.9562043Z * [new tag] ciflow/inductor/169514 -> ciflow/inductor/169514 2025-12-04T08:11:15.9563092Z * [new tag] ciflow/inductor/169515 -> ciflow/inductor/169515 2025-12-04T08:11:15.9564032Z * [new tag] ciflow/inductor/169517 -> ciflow/inductor/169517 2025-12-04T08:11:15.9564838Z * [new tag] ciflow/inductor/169519 -> ciflow/inductor/169519 2025-12-04T08:11:15.9565837Z * [new tag] ciflow/inductor/169520 -> ciflow/inductor/169520 2025-12-04T08:11:15.9566636Z * [new tag] ciflow/inductor/169521 -> ciflow/inductor/169521 2025-12-04T08:11:15.9567669Z * [new tag] ciflow/inductor/169524 -> ciflow/inductor/169524 2025-12-04T08:11:15.9568458Z * [new tag] ciflow/inductor/169527 -> ciflow/inductor/169527 2025-12-04T08:11:15.9569442Z * [new tag] ciflow/inductor/169528 -> ciflow/inductor/169528 2025-12-04T08:11:15.9570483Z * [new tag] ciflow/inductor/169532 -> ciflow/inductor/169532 2025-12-04T08:11:15.9571418Z * [new tag] ciflow/inductor/169535 -> ciflow/inductor/169535 2025-12-04T08:11:15.9572347Z * [new tag] ciflow/inductor/169536 -> ciflow/inductor/169536 2025-12-04T08:11:15.9576327Z * [new tag] ciflow/inductor/169547 -> ciflow/inductor/169547 2025-12-04T08:11:15.9577443Z * [new tag] ciflow/inductor/169548 -> ciflow/inductor/169548 2025-12-04T08:11:15.9578164Z * [new tag] ciflow/inductor/169549 -> ciflow/inductor/169549 2025-12-04T08:11:15.9579165Z * [new tag] ciflow/inductor/169551 -> ciflow/inductor/169551 2025-12-04T08:11:15.9580081Z * [new tag] ciflow/inductor/169552 -> ciflow/inductor/169552 2025-12-04T08:11:15.9580875Z * [new tag] ciflow/inductor/169553 -> ciflow/inductor/169553 2025-12-04T08:11:15.9582116Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-12-04T08:11:15.9583200Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-12-04T08:11:15.9584283Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-12-04T08:11:15.9585435Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-12-04T08:11:15.9586218Z * [new tag] ciflow/linux-aarch64/166075 -> ciflow/linux-aarch64/166075 2025-12-04T08:11:15.9587049Z * [new tag] ciflow/linux-aarch64/166876 -> ciflow/linux-aarch64/166876 2025-12-04T08:11:15.9587878Z * [new tag] ciflow/linux-aarch64/167981 -> ciflow/linux-aarch64/167981 2025-12-04T08:11:15.9588981Z * [new tag] ciflow/mps/166254 -> ciflow/mps/166254 2025-12-04T08:11:15.9589845Z * [new tag] ciflow/mps/169017 -> ciflow/mps/169017 2025-12-04T08:11:15.9590929Z * [new tag] ciflow/mps/169372 -> ciflow/mps/169372 2025-12-04T08:11:15.9591676Z * [new tag] ciflow/mps/169478 -> ciflow/mps/169478 2025-12-04T08:11:15.9592855Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-12-04T08:11:15.9593792Z * [new tag] ciflow/op-benchmark/166075 -> ciflow/op-benchmark/166075 2025-12-04T08:11:15.9594549Z * [new tag] ciflow/op-benchmark/169544 -> ciflow/op-benchmark/169544 2025-12-04T08:11:15.9595745Z * [new tag] ciflow/periodic-rocm-mi200/165997 -> ciflow/periodic-rocm-mi200/165997 2025-12-04T08:11:15.9596595Z * [new tag] ciflow/periodic-rocm-mi200/166517 -> ciflow/periodic-rocm-mi200/166517 2025-12-04T08:11:15.9597454Z * [new tag] ciflow/periodic-rocm-mi200/169063 -> ciflow/periodic-rocm-mi200/169063 2025-12-04T08:11:15.9598323Z * [new tag] ciflow/periodic-rocm-mi200/169425 -> ciflow/periodic-rocm-mi200/169425 2025-12-04T08:11:15.9599466Z * [new tag] ciflow/periodic-rocm-mi300/166517 -> ciflow/periodic-rocm-mi300/166517 2025-12-04T08:11:15.9600246Z * [new tag] ciflow/periodic-rocm-mi300/169063 -> ciflow/periodic-rocm-mi300/169063 2025-12-04T08:11:15.9601048Z * [new tag] ciflow/periodic-rocm-mi300/169425 -> ciflow/periodic-rocm-mi300/169425 2025-12-04T08:11:15.9602438Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-12-04T08:11:15.9603173Z * [new tag] ciflow/periodic/167207 -> ciflow/periodic/167207 2025-12-04T08:11:15.9604267Z * [new tag] ciflow/periodic/167978 -> ciflow/periodic/167978 2025-12-04T08:11:15.9604992Z * [new tag] ciflow/periodic/168096 -> ciflow/periodic/168096 2025-12-04T08:11:15.9605810Z * [new tag] ciflow/periodic/169286 -> ciflow/periodic/169286 2025-12-04T08:11:15.9606923Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-12-04T08:11:15.9607959Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-12-04T08:11:15.9608922Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-12-04T08:11:15.9610245Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-12-04T08:11:15.9611816Z * [new tag] ciflow/periodic/7c648509a7470ace9fb2bae960dd4790f7e943e9 -> ciflow/periodic/7c648509a7470ace9fb2bae960dd4790f7e943e9 2025-12-04T08:11:15.9612873Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-12-04T08:11:15.9614172Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-12-04T08:11:15.9615318Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-12-04T08:11:15.9616342Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-12-04T08:11:15.9617459Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-12-04T08:11:15.9618658Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-12-04T08:11:15.9619931Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-12-04T08:11:15.9620946Z * [new tag] ciflow/pull/167207 -> ciflow/pull/167207 2025-12-04T08:11:15.9622366Z * [new tag] ciflow/quantization-periodic/169207 -> ciflow/quantization-periodic/169207 2025-12-04T08:11:15.9623356Z * [new tag] ciflow/rocm-mi200/165545 -> ciflow/rocm-mi200/165545 2025-12-04T08:11:15.9624121Z * [new tag] ciflow/rocm-mi200/165997 -> ciflow/rocm-mi200/165997 2025-12-04T08:11:15.9625036Z * [new tag] ciflow/rocm-mi200/168096 -> ciflow/rocm-mi200/168096 2025-12-04T08:11:15.9626025Z * [new tag] ciflow/rocm-mi200/168275 -> ciflow/rocm-mi200/168275 2025-12-04T08:11:15.9626765Z * [new tag] ciflow/rocm-mi200/169063 -> ciflow/rocm-mi200/169063 2025-12-04T08:11:15.9627873Z * [new tag] ciflow/rocm-mi200/169356 -> ciflow/rocm-mi200/169356 2025-12-04T08:11:15.9628625Z * [new tag] ciflow/rocm-mi200/169425 -> ciflow/rocm-mi200/169425 2025-12-04T08:11:15.9629733Z * [new tag] ciflow/rocm-mi300/165545 -> ciflow/rocm-mi300/165545 2025-12-04T08:11:15.9630801Z * [new tag] ciflow/rocm-mi300/167157 -> ciflow/rocm-mi300/167157 2025-12-04T08:11:15.9631597Z * [new tag] ciflow/rocm-mi300/168096 -> ciflow/rocm-mi300/168096 2025-12-04T08:11:15.9632524Z * [new tag] ciflow/rocm-mi300/169063 -> ciflow/rocm-mi300/169063 2025-12-04T08:11:15.9633283Z * [new tag] ciflow/rocm-mi300/169425 -> ciflow/rocm-mi300/169425 2025-12-04T08:11:15.9634425Z * [new tag] ciflow/rocm-mi355/167157 -> ciflow/rocm-mi355/167157 2025-12-04T08:11:15.9635170Z * [new tag] ciflow/rocm-mi355/168275 -> ciflow/rocm-mi355/168275 2025-12-04T08:11:15.9636122Z * [new tag] ciflow/rocm-mi355/169425 -> ciflow/rocm-mi355/169425 2025-12-04T08:11:15.9637239Z * [new tag] ciflow/rocm-navi31/168275 -> ciflow/rocm-navi31/168275 2025-12-04T08:11:15.9638083Z * [new tag] ciflow/rocm-navi31/169425 -> ciflow/rocm-navi31/169425 2025-12-04T08:11:15.9639193Z * [new tag] ciflow/rocm/115316 -> ciflow/rocm/115316 2025-12-04T08:11:15.9639950Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-12-04T08:11:15.9640896Z * [new tag] ciflow/rocm/160685 -> ciflow/rocm/160685 2025-12-04T08:11:15.9642180Z * [new tag] ciflow/rocm/161607 -> ciflow/rocm/161607 2025-12-04T08:11:15.9643081Z * [new tag] ciflow/rocm/162052 -> ciflow/rocm/162052 2025-12-04T08:11:15.9643828Z * [new tag] ciflow/rocm/165997 -> ciflow/rocm/165997 2025-12-04T08:11:15.9644772Z * [new tag] ciflow/rocm/166165 -> ciflow/rocm/166165 2025-12-04T08:11:15.9645537Z * [new tag] ciflow/rocm/166517 -> ciflow/rocm/166517 2025-12-04T08:11:15.9646609Z * [new tag] ciflow/rocm/167207 -> ciflow/rocm/167207 2025-12-04T08:11:15.9647461Z * [new tag] ciflow/rocm/167536 -> ciflow/rocm/167536 2025-12-04T08:11:15.9648215Z * [new tag] ciflow/rocm/167781 -> ciflow/rocm/167781 2025-12-04T08:11:15.9649451Z * [new tag] ciflow/rocm/167989 -> ciflow/rocm/167989 2025-12-04T08:11:15.9650555Z * [new tag] ciflow/rocm/168073 -> ciflow/rocm/168073 2025-12-04T08:11:15.9651632Z * [new tag] ciflow/rocm/168195 -> ciflow/rocm/168195 2025-12-04T08:11:15.9652574Z * [new tag] ciflow/rocm/168939 -> ciflow/rocm/168939 2025-12-04T08:11:15.9653459Z * [new tag] ciflow/rocm/168971 -> ciflow/rocm/168971 2025-12-04T08:11:15.9654383Z * [new tag] ciflow/rocm/169024 -> ciflow/rocm/169024 2025-12-04T08:11:15.9655284Z * [new tag] ciflow/rocm/169200 -> ciflow/rocm/169200 2025-12-04T08:11:15.9656087Z * [new tag] ciflow/rocm/169216 -> ciflow/rocm/169216 2025-12-04T08:11:15.9657064Z * [new tag] ciflow/rocm/169312 -> ciflow/rocm/169312 2025-12-04T08:11:15.9657955Z * [new tag] ciflow/rocm/169380 -> ciflow/rocm/169380 2025-12-04T08:11:15.9658873Z * [new tag] ciflow/rocm/169427 -> ciflow/rocm/169427 2025-12-04T08:11:15.9659768Z * [new tag] ciflow/rocm/169455 -> ciflow/rocm/169455 2025-12-04T08:11:15.9660681Z * [new tag] ciflow/rocm/169470 -> ciflow/rocm/169470 2025-12-04T08:11:15.9661568Z * [new tag] ciflow/rocm/169471 -> ciflow/rocm/169471 2025-12-04T08:11:15.9662494Z * [new tag] ciflow/rocm/169472 -> ciflow/rocm/169472 2025-12-04T08:11:15.9663266Z * [new tag] ciflow/rocm/169514 -> ciflow/rocm/169514 2025-12-04T08:11:15.9664590Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-12-04T08:11:15.9665618Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-12-04T08:11:15.9667089Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-12-04T08:11:15.9667682Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-12-04T08:11:15.9668591Z * [new tag] ciflow/slow/167207 -> ciflow/slow/167207 2025-12-04T08:11:15.9669843Z * [new tag] ciflow/slow/168050 -> ciflow/slow/168050 2025-12-04T08:11:15.9670921Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-12-04T08:11:15.9672054Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-12-04T08:11:15.9673552Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-12-04T08:11:15.9674884Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-12-04T08:11:15.9676132Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-12-04T08:11:15.9677181Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-12-04T08:11:15.9678391Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-12-04T08:11:15.9679465Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-12-04T08:11:15.9681080Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-12-04T08:11:15.9681654Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-12-04T08:11:15.9682742Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-12-04T08:11:15.9683783Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-12-04T08:11:15.9685033Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-12-04T08:11:15.9686048Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-12-04T08:11:15.9687605Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-12-04T08:11:15.9688251Z * [new tag] ciflow/torchbench/168175 -> ciflow/torchbench/168175 2025-12-04T08:11:15.9689355Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-12-04T08:11:15.9690237Z * [new tag] ciflow/trunk/157149 -> ciflow/trunk/157149 2025-12-04T08:11:15.9691010Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-12-04T08:11:15.9691938Z * [new tag] ciflow/trunk/159718 -> ciflow/trunk/159718 2025-12-04T08:11:15.9692695Z * [new tag] ciflow/trunk/160174 -> ciflow/trunk/160174 2025-12-04T08:11:15.9693656Z * [new tag] ciflow/trunk/160685 -> ciflow/trunk/160685 2025-12-04T08:11:15.9694383Z * [new tag] ciflow/trunk/160729 -> ciflow/trunk/160729 2025-12-04T08:11:15.9695343Z * [new tag] ciflow/trunk/162275 -> ciflow/trunk/162275 2025-12-04T08:11:15.9696094Z * [new tag] ciflow/trunk/162795 -> ciflow/trunk/162795 2025-12-04T08:11:15.9697034Z * [new tag] ciflow/trunk/163245 -> ciflow/trunk/163245 2025-12-04T08:11:15.9697791Z * [new tag] ciflow/trunk/163942 -> ciflow/trunk/163942 2025-12-04T08:11:15.9698987Z * [new tag] ciflow/trunk/165274 -> ciflow/trunk/165274 2025-12-04T08:11:15.9700321Z * [new tag] ciflow/trunk/165483 -> ciflow/trunk/165483 2025-12-04T08:11:15.9701368Z * [new tag] ciflow/trunk/165922 -> ciflow/trunk/165922 2025-12-04T08:11:15.9702309Z * [new tag] ciflow/trunk/166075 -> ciflow/trunk/166075 2025-12-04T08:11:15.9703162Z * [new tag] ciflow/trunk/166165 -> ciflow/trunk/166165 2025-12-04T08:11:15.9703986Z * [new tag] ciflow/trunk/166829 -> ciflow/trunk/166829 2025-12-04T08:11:15.9705146Z * [new tag] ciflow/trunk/166843 -> ciflow/trunk/166843 2025-12-04T08:11:15.9706027Z * [new tag] ciflow/trunk/166876 -> ciflow/trunk/166876 2025-12-04T08:11:15.9706938Z * [new tag] ciflow/trunk/167207 -> ciflow/trunk/167207 2025-12-04T08:11:15.9707939Z * [new tag] ciflow/trunk/167536 -> ciflow/trunk/167536 2025-12-04T08:11:15.9708862Z * [new tag] ciflow/trunk/167552 -> ciflow/trunk/167552 2025-12-04T08:11:15.9709710Z * [new tag] ciflow/trunk/167555 -> ciflow/trunk/167555 2025-12-04T08:11:15.9710619Z * [new tag] ciflow/trunk/167599 -> ciflow/trunk/167599 2025-12-04T08:11:15.9711547Z * [new tag] ciflow/trunk/167659 -> ciflow/trunk/167659 2025-12-04T08:11:15.9712647Z * [new tag] ciflow/trunk/167672 -> ciflow/trunk/167672 2025-12-04T08:11:15.9713572Z * [new tag] ciflow/trunk/167742 -> ciflow/trunk/167742 2025-12-04T08:11:15.9714421Z * [new tag] ciflow/trunk/167781 -> ciflow/trunk/167781 2025-12-04T08:11:15.9715573Z * [new tag] ciflow/trunk/167837 -> ciflow/trunk/167837 2025-12-04T08:11:15.9716467Z * [new tag] ciflow/trunk/167887 -> ciflow/trunk/167887 2025-12-04T08:11:15.9717354Z * [new tag] ciflow/trunk/167978 -> ciflow/trunk/167978 2025-12-04T08:11:15.9718351Z * [new tag] ciflow/trunk/168050 -> ciflow/trunk/168050 2025-12-04T08:11:15.9719254Z * [new tag] ciflow/trunk/168051 -> ciflow/trunk/168051 2025-12-04T08:11:15.9720218Z * [new tag] ciflow/trunk/168096 -> ciflow/trunk/168096 2025-12-04T08:11:15.9720959Z * [new tag] ciflow/trunk/168127 -> ciflow/trunk/168127 2025-12-04T08:11:15.9721928Z * [new tag] ciflow/trunk/168157 -> ciflow/trunk/168157 2025-12-04T08:11:15.9722696Z * [new tag] ciflow/trunk/168175 -> ciflow/trunk/168175 2025-12-04T08:11:15.9723652Z * [new tag] ciflow/trunk/168209 -> ciflow/trunk/168209 2025-12-04T08:11:15.9724723Z * [new tag] ciflow/trunk/168213 -> ciflow/trunk/168213 2025-12-04T08:11:15.9725743Z * [new tag] ciflow/trunk/168226 -> ciflow/trunk/168226 2025-12-04T08:11:15.9726662Z * [new tag] ciflow/trunk/168262 -> ciflow/trunk/168262 2025-12-04T08:11:15.9727443Z * [new tag] ciflow/trunk/168275 -> ciflow/trunk/168275 2025-12-04T08:11:15.9728601Z * [new tag] ciflow/trunk/168328 -> ciflow/trunk/168328 2025-12-04T08:11:15.9729526Z * [new tag] ciflow/trunk/168368 -> ciflow/trunk/168368 2025-12-04T08:11:15.9730319Z * [new tag] ciflow/trunk/168917 -> ciflow/trunk/168917 2025-12-04T08:11:15.9731290Z * [new tag] ciflow/trunk/168933 -> ciflow/trunk/168933 2025-12-04T08:11:15.9732320Z * [new tag] ciflow/trunk/168941 -> ciflow/trunk/168941 2025-12-04T08:11:15.9733255Z * [new tag] ciflow/trunk/168955 -> ciflow/trunk/168955 2025-12-04T08:11:15.9734132Z * [new tag] ciflow/trunk/168980 -> ciflow/trunk/168980 2025-12-04T08:11:15.9735240Z * [new tag] ciflow/trunk/169004 -> ciflow/trunk/169004 2025-12-04T08:11:15.9736166Z * [new tag] ciflow/trunk/169006 -> ciflow/trunk/169006 2025-12-04T08:11:15.9737078Z * [new tag] ciflow/trunk/169023 -> ciflow/trunk/169023 2025-12-04T08:11:15.9738115Z * [new tag] ciflow/trunk/169025 -> ciflow/trunk/169025 2025-12-04T08:11:15.9738977Z * [new tag] ciflow/trunk/169066 -> ciflow/trunk/169066 2025-12-04T08:11:15.9739800Z * [new tag] ciflow/trunk/169091 -> ciflow/trunk/169091 2025-12-04T08:11:15.9740759Z * [new tag] ciflow/trunk/169102 -> ciflow/trunk/169102 2025-12-04T08:11:15.9741675Z * [new tag] ciflow/trunk/169103 -> ciflow/trunk/169103 2025-12-04T08:11:15.9743197Z * [new tag] ciflow/trunk/169139 -> ciflow/trunk/169139 2025-12-04T08:11:15.9744214Z * [new tag] ciflow/trunk/169148 -> ciflow/trunk/169148 2025-12-04T08:11:15.9745143Z * [new tag] ciflow/trunk/169151 -> ciflow/trunk/169151 2025-12-04T08:11:15.9746042Z * [new tag] ciflow/trunk/169156 -> ciflow/trunk/169156 2025-12-04T08:11:15.9747070Z * [new tag] ciflow/trunk/169176 -> ciflow/trunk/169176 2025-12-04T08:11:15.9747984Z * [new tag] ciflow/trunk/169204 -> ciflow/trunk/169204 2025-12-04T08:11:15.9748878Z * [new tag] ciflow/trunk/169207 -> ciflow/trunk/169207 2025-12-04T08:11:15.9749846Z * [new tag] ciflow/trunk/169211 -> ciflow/trunk/169211 2025-12-04T08:11:15.9750828Z * [new tag] ciflow/trunk/169229 -> ciflow/trunk/169229 2025-12-04T08:11:15.9751982Z * [new tag] ciflow/trunk/169231 -> ciflow/trunk/169231 2025-12-04T08:11:15.9752862Z * [new tag] ciflow/trunk/169260 -> ciflow/trunk/169260 2025-12-04T08:11:15.9754388Z * [new tag] ciflow/trunk/169271 -> ciflow/trunk/169271 2025-12-04T08:11:15.9755328Z * [new tag] ciflow/trunk/169280 -> ciflow/trunk/169280 2025-12-04T08:11:15.9756243Z * [new tag] ciflow/trunk/169281 -> ciflow/trunk/169281 2025-12-04T08:11:15.9757239Z * [new tag] ciflow/trunk/169286 -> ciflow/trunk/169286 2025-12-04T08:11:15.9758332Z * [new tag] ciflow/trunk/169293 -> ciflow/trunk/169293 2025-12-04T08:11:15.9759262Z * [new tag] ciflow/trunk/169296 -> ciflow/trunk/169296 2025-12-04T08:11:15.9760142Z * [new tag] ciflow/trunk/169304 -> ciflow/trunk/169304 2025-12-04T08:11:15.9761093Z * [new tag] ciflow/trunk/169305 -> ciflow/trunk/169305 2025-12-04T08:11:15.9762018Z * [new tag] ciflow/trunk/169312 -> ciflow/trunk/169312 2025-12-04T08:11:15.9763277Z * [new tag] ciflow/trunk/169328 -> ciflow/trunk/169328 2025-12-04T08:11:15.9764200Z * [new tag] ciflow/trunk/169343 -> ciflow/trunk/169343 2025-12-04T08:11:15.9765116Z * [new tag] ciflow/trunk/169355 -> ciflow/trunk/169355 2025-12-04T08:11:15.9766018Z * [new tag] ciflow/trunk/169370 -> ciflow/trunk/169370 2025-12-04T08:11:15.9767132Z * [new tag] ciflow/trunk/169379 -> ciflow/trunk/169379 2025-12-04T08:11:15.9768037Z * [new tag] ciflow/trunk/169380 -> ciflow/trunk/169380 2025-12-04T08:11:15.9768981Z * [new tag] ciflow/trunk/169385 -> ciflow/trunk/169385 2025-12-04T08:11:15.9769966Z * [new tag] ciflow/trunk/169387 -> ciflow/trunk/169387 2025-12-04T08:11:15.9771033Z * [new tag] ciflow/trunk/169410 -> ciflow/trunk/169410 2025-12-04T08:11:15.9771943Z * [new tag] ciflow/trunk/169412 -> ciflow/trunk/169412 2025-12-04T08:11:15.9773029Z * [new tag] ciflow/trunk/169418 -> ciflow/trunk/169418 2025-12-04T08:11:15.9773989Z * [new tag] ciflow/trunk/169423 -> ciflow/trunk/169423 2025-12-04T08:11:15.9774777Z * [new tag] ciflow/trunk/169427 -> ciflow/trunk/169427 2025-12-04T08:11:15.9775774Z * [new tag] ciflow/trunk/169430 -> ciflow/trunk/169430 2025-12-04T08:11:15.9776626Z * [new tag] ciflow/trunk/169437 -> ciflow/trunk/169437 2025-12-04T08:11:15.9777615Z * [new tag] ciflow/trunk/169442 -> ciflow/trunk/169442 2025-12-04T08:11:15.9778406Z * [new tag] ciflow/trunk/169452 -> ciflow/trunk/169452 2025-12-04T08:11:15.9779403Z * [new tag] ciflow/trunk/169454 -> ciflow/trunk/169454 2025-12-04T08:11:15.9780346Z * [new tag] ciflow/trunk/169459 -> ciflow/trunk/169459 2025-12-04T08:11:15.9781354Z * [new tag] ciflow/trunk/169474 -> ciflow/trunk/169474 2025-12-04T08:11:15.9782270Z * [new tag] ciflow/trunk/169475 -> ciflow/trunk/169475 2025-12-04T08:11:15.9783054Z * [new tag] ciflow/trunk/169476 -> ciflow/trunk/169476 2025-12-04T08:11:15.9784170Z * [new tag] ciflow/trunk/169487 -> ciflow/trunk/169487 2025-12-04T08:11:15.9785062Z * [new tag] ciflow/trunk/169497 -> ciflow/trunk/169497 2025-12-04T08:11:15.9785933Z * [new tag] ciflow/trunk/169503 -> ciflow/trunk/169503 2025-12-04T08:11:15.9786864Z * [new tag] ciflow/trunk/169505 -> ciflow/trunk/169505 2025-12-04T08:11:15.9787834Z * [new tag] ciflow/trunk/169507 -> ciflow/trunk/169507 2025-12-04T08:11:15.9788712Z * [new tag] ciflow/trunk/169514 -> ciflow/trunk/169514 2025-12-04T08:11:15.9789612Z * [new tag] ciflow/trunk/169517 -> ciflow/trunk/169517 2025-12-04T08:11:15.9790516Z * [new tag] ciflow/trunk/169519 -> ciflow/trunk/169519 2025-12-04T08:11:15.9791463Z * [new tag] ciflow/trunk/169528 -> ciflow/trunk/169528 2025-12-04T08:11:15.9792300Z * [new tag] ciflow/trunk/169541 -> ciflow/trunk/169541 2025-12-04T08:11:15.9793678Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-12-04T08:11:15.9794715Z * [new tag] ciflow/vllm/165270 -> ciflow/vllm/165270 2025-12-04T08:11:15.9795504Z * [new tag] ciflow/vllm/165274 -> ciflow/vllm/165274 2025-12-04T08:11:15.9796287Z * [new tag] ciflow/vllm/166494 -> ciflow/vllm/166494 2025-12-04T08:11:15.9797234Z * [new tag] ciflow/vllm/169219 -> ciflow/vllm/169219 2025-12-04T08:11:15.9798272Z * [new tag] ciflow/vllm/169220 -> ciflow/vllm/169220 2025-12-04T08:11:15.9799376Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-12-04T08:11:15.9800127Z * [new tag] ciflow/xpu/159718 -> ciflow/xpu/159718 2025-12-04T08:11:15.9801028Z * [new tag] ciflow/xpu/161940 -> ciflow/xpu/161940 2025-12-04T08:11:15.9802062Z * [new tag] ciflow/xpu/163251 -> ciflow/xpu/163251 2025-12-04T08:11:15.9802834Z * [new tag] ciflow/xpu/166829 -> ciflow/xpu/166829 2025-12-04T08:11:15.9803758Z * [new tag] ciflow/xpu/166843 -> ciflow/xpu/166843 2025-12-04T08:11:15.9804517Z * [new tag] ciflow/xpu/167972 -> ciflow/xpu/167972 2025-12-04T08:11:15.9805421Z * [new tag] ciflow/xpu/167981 -> ciflow/xpu/167981 2025-12-04T08:11:15.9806206Z * [new tag] ciflow/xpu/168213 -> ciflow/xpu/168213 2025-12-04T08:11:15.9807148Z * [new tag] ciflow/xpu/168262 -> ciflow/xpu/168262 2025-12-04T08:11:15.9808424Z * [new tag] ciflow/xpu/168328 -> ciflow/xpu/168328 2025-12-04T08:11:15.9809527Z * [new tag] ciflow/xpu/168950 -> ciflow/xpu/168950 2025-12-04T08:11:15.9810824Z * [new tag] ciflow/xpu/169039 -> ciflow/xpu/169039 2025-12-04T08:11:15.9811901Z * [new tag] ciflow/xpu/169200 -> ciflow/xpu/169200 2025-12-04T08:11:15.9812701Z * [new tag] ciflow/xpu/169203 -> ciflow/xpu/169203 2025-12-04T08:11:15.9813697Z * [new tag] ciflow/xpu/169229 -> ciflow/xpu/169229 2025-12-04T08:11:15.9814589Z * [new tag] ciflow/xpu/169230 -> ciflow/xpu/169230 2025-12-04T08:11:15.9815492Z * [new tag] ciflow/xpu/169231 -> ciflow/xpu/169231 2025-12-04T08:11:15.9816528Z * [new tag] ciflow/xpu/169241 -> ciflow/xpu/169241 2025-12-04T08:11:15.9817425Z * [new tag] ciflow/xpu/169280 -> ciflow/xpu/169280 2025-12-04T08:11:15.9818339Z * [new tag] ciflow/xpu/169296 -> ciflow/xpu/169296 2025-12-04T08:11:15.9819369Z * [new tag] ciflow/xpu/169353 -> ciflow/xpu/169353 2025-12-04T08:11:15.9820335Z * [new tag] ciflow/xpu/169410 -> ciflow/xpu/169410 2025-12-04T08:11:15.9821114Z * [new tag] ciflow/xpu/169442 -> ciflow/xpu/169442 2025-12-04T08:11:15.9822249Z * [new tag] cslpull75 -> cslpull75 2025-12-04T08:11:15.9823221Z * [new tag] cslpull76 -> cslpull76 2025-12-04T08:11:15.9824167Z * [new tag] cslpull77 -> cslpull77 2025-12-04T08:11:15.9825187Z * [new tag] cslpull78 -> cslpull78 2025-12-04T08:11:15.9826389Z * [new tag] cslpull79 -> cslpull79 2025-12-04T08:11:15.9827656Z * [new tag] cslpull80 -> cslpull80 2025-12-04T08:11:15.9828858Z * [new tag] cslpull81 -> cslpull81 2025-12-04T08:11:15.9829835Z * [new tag] cslpull82 -> cslpull82 2025-12-04T08:11:15.9830963Z * [new tag] cslpull83 -> cslpull83 2025-12-04T08:11:15.9831887Z * [new tag] cslpull84 -> cslpull84 2025-12-04T08:11:15.9832872Z * [new tag] cslpull85 -> cslpull85 2025-12-04T08:11:15.9833955Z * [new tag] cslpull86 -> cslpull86 2025-12-04T08:11:15.9835002Z * [new tag] cslpull87 -> cslpull87 2025-12-04T08:11:15.9836052Z * [new tag] cslpull88 -> cslpull88 2025-12-04T08:11:15.9837033Z * [new tag] cslpull89 -> cslpull89 2025-12-04T08:11:15.9837976Z * [new tag] cslpull90 -> cslpull90 2025-12-04T08:11:15.9839402Z * [new tag] cslpull91 -> cslpull91 2025-12-04T08:11:15.9840410Z * [new tag] cslpull92 -> cslpull92 2025-12-04T08:11:15.9841525Z * [new tag] flight_5 -> flight_5 2025-12-04T08:11:15.9842729Z * [new tag] flight_5.1 -> flight_5.1 2025-12-04T08:11:15.9843777Z * [new tag] flight_5.2 -> flight_5.2 2025-12-04T08:11:15.9844897Z * [new tag] flight_5.3 -> flight_5.3 2025-12-04T08:11:15.9845921Z * [new tag] forpull1 -> forpull1 2025-12-04T08:11:15.9847202Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-12-04T08:11:15.9848230Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-12-04T08:11:15.9849280Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-12-04T08:11:15.9850358Z * [new tag] nightly-binary -> nightly-binary 2025-12-04T08:11:15.9851570Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-12-04T08:11:15.9852737Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-12-04T08:11:15.9854159Z * [new tag] trunk/02d8bd6974cf84b721680d773dbdb1b6f40ce272 -> trunk/02d8bd6974cf84b721680d773dbdb1b6f40ce272 2025-12-04T08:11:15.9855079Z * [new tag] trunk/066997fb38ade71e00d78e9d572e380b5f02bd3e -> trunk/066997fb38ade71e00d78e9d572e380b5f02bd3e 2025-12-04T08:11:15.9856464Z * [new tag] trunk/076e7b19fa1d481ad778d06d2b49ba57d3ce8c88 -> trunk/076e7b19fa1d481ad778d06d2b49ba57d3ce8c88 2025-12-04T08:11:15.9857758Z * [new tag] trunk/07dcc0b83db3211653a38565a24e15acdba75654 -> trunk/07dcc0b83db3211653a38565a24e15acdba75654 2025-12-04T08:11:15.9858716Z * [new tag] trunk/082e96b68dfcd16cab7cfafc4d3d055767dab3eb -> trunk/082e96b68dfcd16cab7cfafc4d3d055767dab3eb 2025-12-04T08:11:15.9859797Z * [new tag] trunk/088048f2fea28ff7d450f65c72419ca45780d30b -> trunk/088048f2fea28ff7d450f65c72419ca45780d30b 2025-12-04T08:11:15.9860760Z * [new tag] trunk/09076941a95c76f4d9ad189d064dfd8baa39e672 -> trunk/09076941a95c76f4d9ad189d064dfd8baa39e672 2025-12-04T08:11:15.9861918Z * [new tag] trunk/0b80a4c62b94402844bf221791c096b0035c6d75 -> trunk/0b80a4c62b94402844bf221791c096b0035c6d75 2025-12-04T08:11:15.9863091Z * [new tag] trunk/0bbbdf1750567a980634ad907a325357ba8ba8f2 -> trunk/0bbbdf1750567a980634ad907a325357ba8ba8f2 2025-12-04T08:11:15.9864212Z * [new tag] trunk/0c281dd78773b2bc17c58ead0e4cd4ac46e775c5 -> trunk/0c281dd78773b2bc17c58ead0e4cd4ac46e775c5 2025-12-04T08:11:15.9865174Z * [new tag] trunk/135f3753c418a6879b1954904184937b67e61688 -> trunk/135f3753c418a6879b1954904184937b67e61688 2025-12-04T08:11:15.9866323Z * [new tag] trunk/15da21026cb13cd20257dc9e96830db108743c10 -> trunk/15da21026cb13cd20257dc9e96830db108743c10 2025-12-04T08:11:15.9867470Z * [new tag] trunk/166efdad2ac827f30fb02504c6017520257f88ec -> trunk/166efdad2ac827f30fb02504c6017520257f88ec 2025-12-04T08:11:15.9868354Z * [new tag] trunk/174272c15fae553d8488140af931f7d8050a313f -> trunk/174272c15fae553d8488140af931f7d8050a313f 2025-12-04T08:11:15.9869696Z * [new tag] trunk/18f3ca08f13b8de61307f5e8cd7d4cccb67e9d11 -> trunk/18f3ca08f13b8de61307f5e8cd7d4cccb67e9d11 2025-12-04T08:11:15.9870665Z * [new tag] trunk/1902eddfe655a15ebcf2c72bd81ade110fdeef63 -> trunk/1902eddfe655a15ebcf2c72bd81ade110fdeef63 2025-12-04T08:11:15.9871789Z * [new tag] trunk/195f92e98d3d66738577f11f22c4b5c8a1c76dd5 -> trunk/195f92e98d3d66738577f11f22c4b5c8a1c76dd5 2025-12-04T08:11:15.9872818Z * [new tag] trunk/1aa13e17de39e3c768ea7aebaad166ce72a06676 -> trunk/1aa13e17de39e3c768ea7aebaad166ce72a06676 2025-12-04T08:11:15.9874011Z * [new tag] trunk/1afe2832f58e24e54a5bfda5a5afa9b96fdea40e -> trunk/1afe2832f58e24e54a5bfda5a5afa9b96fdea40e 2025-12-04T08:11:15.9874909Z * [new tag] trunk/1c87554d74140eaee964ca8b1832cede67f5f520 -> trunk/1c87554d74140eaee964ca8b1832cede67f5f520 2025-12-04T08:11:15.9876076Z * [new tag] trunk/1ccb743b7b5be955f49736c162c4f5004b8a0dd8 -> trunk/1ccb743b7b5be955f49736c162c4f5004b8a0dd8 2025-12-04T08:11:15.9877260Z * [new tag] trunk/1cee47d6ce0a02227185b566593f002dd639ca0c -> trunk/1cee47d6ce0a02227185b566593f002dd639ca0c 2025-12-04T08:11:15.9878093Z * [new tag] trunk/1d21b4df2babe322e5d085ceb6de884eb260a62d -> trunk/1d21b4df2babe322e5d085ceb6de884eb260a62d 2025-12-04T08:11:15.9879289Z * [new tag] trunk/1e34fb2550e4aa650314f7a6d9f6daf4da7478a8 -> trunk/1e34fb2550e4aa650314f7a6d9f6daf4da7478a8 2025-12-04T08:11:15.9880277Z * [new tag] trunk/1e526fb5b1d93bfc70691c5c3955fdffc1b7b7de -> trunk/1e526fb5b1d93bfc70691c5c3955fdffc1b7b7de 2025-12-04T08:11:15.9881426Z * [new tag] trunk/1ee32a8b1f554a312d79bad01ded24f38cd95543 -> trunk/1ee32a8b1f554a312d79bad01ded24f38cd95543 2025-12-04T08:11:15.9882336Z * [new tag] trunk/201e2c4117eb9744594dad6a5c18213d7b4705d7 -> trunk/201e2c4117eb9744594dad6a5c18213d7b4705d7 2025-12-04T08:11:15.9883331Z * [new tag] trunk/2353a0f60eb4b4cb6675907a7fa9fbedc1c02e7f -> trunk/2353a0f60eb4b4cb6675907a7fa9fbedc1c02e7f 2025-12-04T08:11:15.9884647Z * [new tag] trunk/285779b1621cf9f073a062b0889a642d200308d9 -> trunk/285779b1621cf9f073a062b0889a642d200308d9 2025-12-04T08:11:15.9885439Z * [new tag] trunk/2887faaec6295d081580d09fce161201826c6d87 -> trunk/2887faaec6295d081580d09fce161201826c6d87 2025-12-04T08:11:15.9888129Z * [new tag] trunk/296e67c92635443c67b11c0ae1bd045f03ebb7bc -> trunk/296e67c92635443c67b11c0ae1bd045f03ebb7bc 2025-12-04T08:11:15.9888506Z * [new tag] trunk/29856679769b3dede478767e2fe6cfb51197cb25 -> trunk/29856679769b3dede478767e2fe6cfb51197cb25 2025-12-04T08:11:15.9888912Z * [new tag] trunk/29e5455a4740c326ab187c7aa7b5ef98034ea563 -> trunk/29e5455a4740c326ab187c7aa7b5ef98034ea563 2025-12-04T08:11:15.9889622Z * [new tag] trunk/2ac3ef882afb23136adc188975f0a8802fc68adf -> trunk/2ac3ef882afb23136adc188975f0a8802fc68adf 2025-12-04T08:11:15.9890851Z * [new tag] trunk/2bec68e73b64715354af076ad309335f943e36cd -> trunk/2bec68e73b64715354af076ad309335f943e36cd 2025-12-04T08:11:15.9891792Z * [new tag] trunk/2c87367e6f88662cd5cedbd1537748b7948c38e1 -> trunk/2c87367e6f88662cd5cedbd1537748b7948c38e1 2025-12-04T08:11:15.9892863Z * [new tag] trunk/2d1f78fe3ec13820f136a2e0336da12a25f41708 -> trunk/2d1f78fe3ec13820f136a2e0336da12a25f41708 2025-12-04T08:11:15.9894054Z * [new tag] trunk/2df6058f116a65722a0e03073402feb242572d35 -> trunk/2df6058f116a65722a0e03073402feb242572d35 2025-12-04T08:11:15.9894985Z * [new tag] trunk/2e0c2e170fe658c440775c8e5c44228aafcc47ec -> trunk/2e0c2e170fe658c440775c8e5c44228aafcc47ec 2025-12-04T08:11:15.9896425Z * [new tag] trunk/2f9b7dad7b5419b063bd0f2e204de192720ebb94 -> trunk/2f9b7dad7b5419b063bd0f2e204de192720ebb94 2025-12-04T08:11:15.9897282Z * [new tag] trunk/305168768a95d69c444df5cd334bb774edfe06f1 -> trunk/305168768a95d69c444df5cd334bb774edfe06f1 2025-12-04T08:11:15.9898409Z * [new tag] trunk/31fc12773026e8e00f054dd79ad9b2491e693b48 -> trunk/31fc12773026e8e00f054dd79ad9b2491e693b48 2025-12-04T08:11:15.9899357Z * [new tag] trunk/320de0c6b0a3e7c6d2693ea5c28d5d0156ba7991 -> trunk/320de0c6b0a3e7c6d2693ea5c28d5d0156ba7991 2025-12-04T08:11:15.9900500Z * [new tag] trunk/3418bd29475dff06695045fcdf93e7d0dac67da8 -> trunk/3418bd29475dff06695045fcdf93e7d0dac67da8 2025-12-04T08:11:15.9901403Z * [new tag] trunk/34a98608afa0cb5b48f0d6d30432fdd0a2614ddf -> trunk/34a98608afa0cb5b48f0d6d30432fdd0a2614ddf 2025-12-04T08:11:15.9902550Z * [new tag] trunk/35b7a9a26c5923d98aebaa41a031dae21788a9ee -> trunk/35b7a9a26c5923d98aebaa41a031dae21788a9ee 2025-12-04T08:11:15.9903671Z * [new tag] trunk/39d07dbf03a911bdd45d1af78d8638dc92074938 -> trunk/39d07dbf03a911bdd45d1af78d8638dc92074938 2025-12-04T08:11:15.9904447Z * [new tag] trunk/3cd98b4205ada151042cc7ff097a82d4a4b18725 -> trunk/3cd98b4205ada151042cc7ff097a82d4a4b18725 2025-12-04T08:11:15.9905452Z * [new tag] trunk/3d35fd20a78ff4d016fa80f4e5fad37191d7bcae -> trunk/3d35fd20a78ff4d016fa80f4e5fad37191d7bcae 2025-12-04T08:11:15.9906439Z * [new tag] trunk/409a5fee945c46a3edaf5df162812f201bfd7b2f -> trunk/409a5fee945c46a3edaf5df162812f201bfd7b2f 2025-12-04T08:11:15.9907434Z * [new tag] trunk/42e9005cda22da3f1c559c3649218cebd671027c -> trunk/42e9005cda22da3f1c559c3649218cebd671027c 2025-12-04T08:11:15.9908554Z * [new tag] trunk/43b94713bbf340d3c124fde02d0f73add4021247 -> trunk/43b94713bbf340d3c124fde02d0f73add4021247 2025-12-04T08:11:15.9909511Z * [new tag] trunk/44ac69388a4a5eb463dbd2a13f00d1e3b924566c -> trunk/44ac69388a4a5eb463dbd2a13f00d1e3b924566c 2025-12-04T08:11:15.9910639Z * [new tag] trunk/45d14e2497292be06ad36eaa1aaaf7c630a2586a -> trunk/45d14e2497292be06ad36eaa1aaaf7c630a2586a 2025-12-04T08:11:15.9911423Z * [new tag] trunk/45d310ad84854dff730c0b12e577d7998d978686 -> trunk/45d310ad84854dff730c0b12e577d7998d978686 2025-12-04T08:11:15.9912834Z * [new tag] trunk/47b28ddf7bd74b50fa93b307a7d3b183a6d77f54 -> trunk/47b28ddf7bd74b50fa93b307a7d3b183a6d77f54 2025-12-04T08:11:15.9913594Z * [new tag] trunk/481e5ab336275bd3acd5fa8a611b05b4469012af -> trunk/481e5ab336275bd3acd5fa8a611b05b4469012af 2025-12-04T08:11:15.9914807Z * [new tag] trunk/491731647f6b8a9345dcfb3bc9416aea254a7d96 -> trunk/491731647f6b8a9345dcfb3bc9416aea254a7d96 2025-12-04T08:11:15.9915744Z * [new tag] trunk/49a04d26088acc17d948ddd66920f3e16371e873 -> trunk/49a04d26088acc17d948ddd66920f3e16371e873 2025-12-04T08:11:15.9916881Z * [new tag] trunk/4bebc827c47d2f1f0fa1a417a5201a97aef3d985 -> trunk/4bebc827c47d2f1f0fa1a417a5201a97aef3d985 2025-12-04T08:11:15.9917677Z * [new tag] trunk/4c246677784c6a14bc2dbb9ff8773ef0a3a3222f -> trunk/4c246677784c6a14bc2dbb9ff8773ef0a3a3222f 2025-12-04T08:11:15.9919098Z * [new tag] trunk/4cfb47ff548b6d996641058cf04a70e311a4c3aa -> trunk/4cfb47ff548b6d996641058cf04a70e311a4c3aa 2025-12-04T08:11:15.9920027Z * [new tag] trunk/4e0061c1aa52f606dda8cfab0bd7591e588faf2c -> trunk/4e0061c1aa52f606dda8cfab0bd7591e588faf2c 2025-12-04T08:11:15.9921682Z * [new tag] trunk/4fefb8e7e942386ffac764a41b232241f82bea3a -> trunk/4fefb8e7e942386ffac764a41b232241f82bea3a 2025-12-04T08:11:15.9922615Z * [new tag] trunk/503b2640023521f5a35cd9a52fc8033d73a95d0d -> trunk/503b2640023521f5a35cd9a52fc8033d73a95d0d 2025-12-04T08:11:15.9924165Z * [new tag] trunk/518c2b1b3dab9a2ef2849e04b3bc2f20c1c41db9 -> trunk/518c2b1b3dab9a2ef2849e04b3bc2f20c1c41db9 2025-12-04T08:11:15.9924792Z * [new tag] trunk/5191b2fa68ba19960912bfd7fd721c79d76bb1f3 -> trunk/5191b2fa68ba19960912bfd7fd721c79d76bb1f3 2025-12-04T08:11:15.9925939Z * [new tag] trunk/52ac0f0dc4acacd219f1317fbc28ec631c01e07a -> trunk/52ac0f0dc4acacd219f1317fbc28ec631c01e07a 2025-12-04T08:11:15.9927075Z * [new tag] trunk/539ba711b029de9f191070f4f0d12f18f5b7f292 -> trunk/539ba711b029de9f191070f4f0d12f18f5b7f292 2025-12-04T08:11:15.9927984Z * [new tag] trunk/556375b55deebebbc56cb7aef81f4d52f031ba28 -> trunk/556375b55deebebbc56cb7aef81f4d52f031ba28 2025-12-04T08:11:15.9929165Z * [new tag] trunk/55c4ab554845481d0a69a3811937575fe8bb1a66 -> trunk/55c4ab554845481d0a69a3811937575fe8bb1a66 2025-12-04T08:11:15.9930315Z * [new tag] trunk/5634469fda9e5d98869c82c7d03bb08914245f96 -> trunk/5634469fda9e5d98869c82c7d03bb08914245f96 2025-12-04T08:11:15.9931111Z * [new tag] trunk/5778f6ff894686a975a9a23645178ae4c87ad5dc -> trunk/5778f6ff894686a975a9a23645178ae4c87ad5dc 2025-12-04T08:11:15.9932316Z * [new tag] trunk/587d63a3e07de5dc91065f9ef70bcacda9989068 -> trunk/587d63a3e07de5dc91065f9ef70bcacda9989068 2025-12-04T08:11:15.9933283Z * [new tag] trunk/597930f6b568852356ca9795dac76f9e4653adbd -> trunk/597930f6b568852356ca9795dac76f9e4653adbd 2025-12-04T08:11:15.9934143Z * [new tag] trunk/597df3a4e2a67b9fdbe1a89b2f4d74f822274db6 -> trunk/597df3a4e2a67b9fdbe1a89b2f4d74f822274db6 2025-12-04T08:11:15.9935402Z * [new tag] trunk/59abd50e931f4efb21b053f7a2911f5d8a49d883 -> trunk/59abd50e931f4efb21b053f7a2911f5d8a49d883 2025-12-04T08:11:15.9936362Z * [new tag] trunk/5a607febc04c3a2b5824c75f3f60307867439a2c -> trunk/5a607febc04c3a2b5824c75f3f60307867439a2c 2025-12-04T08:11:15.9937509Z * [new tag] trunk/5bf1cdf4755c54ef462b44cb8041b0a57311556b -> trunk/5bf1cdf4755c54ef462b44cb8041b0a57311556b 2025-12-04T08:11:15.9938321Z * [new tag] trunk/5f0030ba63d334d7e8c93a09e41403b89e4c573c -> trunk/5f0030ba63d334d7e8c93a09e41403b89e4c573c 2025-12-04T08:11:15.9939278Z * [new tag] trunk/5f21d27e71268464d362a96c9ac09ea475f7f202 -> trunk/5f21d27e71268464d362a96c9ac09ea475f7f202 2025-12-04T08:11:15.9940488Z * [new tag] trunk/5fafc13038c9988d9ac21fa793fbd5890604b447 -> trunk/5fafc13038c9988d9ac21fa793fbd5890604b447 2025-12-04T08:11:15.9941501Z * [new tag] trunk/61be54a31dc09b59d99b62176fb935aee0b924ef -> trunk/61be54a31dc09b59d99b62176fb935aee0b924ef 2025-12-04T08:11:15.9942686Z * [new tag] trunk/62d3ccd71484ed6a760d909b41487101bbc65719 -> trunk/62d3ccd71484ed6a760d909b41487101bbc65719 2025-12-04T08:11:15.9943606Z * [new tag] trunk/641cdb68ae27668eb441d0e49c87a0602c120c2b -> trunk/641cdb68ae27668eb441d0e49c87a0602c120c2b 2025-12-04T08:11:15.9944726Z * [new tag] trunk/65c4620d6bb0c6029f69762c22b91dda2294da9a -> trunk/65c4620d6bb0c6029f69762c22b91dda2294da9a 2025-12-04T08:11:15.9945851Z * [new tag] trunk/66004b993744b4106bf8afaba71f3c228a804206 -> trunk/66004b993744b4106bf8afaba71f3c228a804206 2025-12-04T08:11:15.9946814Z * [new tag] trunk/6658a04c7ca67acb64512341342e7b3ee13ee386 -> trunk/6658a04c7ca67acb64512341342e7b3ee13ee386 2025-12-04T08:11:15.9947784Z * [new tag] trunk/6864e309092a71f8ab0ca6a4dc7f8a4073fd31c4 -> trunk/6864e309092a71f8ab0ca6a4dc7f8a4073fd31c4 2025-12-04T08:11:15.9948916Z * [new tag] trunk/6c261c6cb07892c90ca19ed51c9705b1659a3f7d -> trunk/6c261c6cb07892c90ca19ed51c9705b1659a3f7d 2025-12-04T08:11:15.9949835Z * [new tag] trunk/6c8b6a043f1628188b6396b3a2a6e000ca68362b -> trunk/6c8b6a043f1628188b6396b3a2a6e000ca68362b 2025-12-04T08:11:15.9950974Z * [new tag] trunk/6ceb4a32f92ae67ce5d7d97931d17401ebf5ffa5 -> trunk/6ceb4a32f92ae67ce5d7d97931d17401ebf5ffa5 2025-12-04T08:11:15.9951943Z * [new tag] trunk/6e404e9b7d6f5fb0de86aa73888c3038248c17f8 -> trunk/6e404e9b7d6f5fb0de86aa73888c3038248c17f8 2025-12-04T08:11:15.9953105Z * [new tag] trunk/6ec30b490aee1db6bcdc7340abddef25784f08ec -> trunk/6ec30b490aee1db6bcdc7340abddef25784f08ec 2025-12-04T08:11:15.9954021Z * [new tag] trunk/6f2783a6c08e1db34275ff25176ffe9aebc30a71 -> trunk/6f2783a6c08e1db34275ff25176ffe9aebc30a71 2025-12-04T08:11:15.9955190Z * [new tag] trunk/6f53fefeb90ad3281119b5cfc4aa9ffd8a066e3d -> trunk/6f53fefeb90ad3281119b5cfc4aa9ffd8a066e3d 2025-12-04T08:11:15.9956158Z * [new tag] trunk/6f7dcf51e46d0c880db1a2f5c70de57adb576f4a -> trunk/6f7dcf51e46d0c880db1a2f5c70de57adb576f4a 2025-12-04T08:11:15.9957341Z * [new tag] trunk/6ff831180d2fa436c7f1c1af3adac641fce9d60e -> trunk/6ff831180d2fa436c7f1c1af3adac641fce9d60e 2025-12-04T08:11:15.9958916Z * [new tag] trunk/70076464a63ab218a7ceefb0e76ccd7131deb8f8 -> trunk/70076464a63ab218a7ceefb0e76ccd7131deb8f8 2025-12-04T08:11:15.9959839Z * [new tag] trunk/70d797a5fc109b20a517646fcaa819477cd0d485 -> trunk/70d797a5fc109b20a517646fcaa819477cd0d485 2025-12-04T08:11:15.9961006Z * [new tag] trunk/7348cb355ff0a6f79cd4871215aea72185748734 -> trunk/7348cb355ff0a6f79cd4871215aea72185748734 2025-12-04T08:11:15.9961934Z * [new tag] trunk/74fe26a1ebe32931783569f2e762e3c2c974901f -> trunk/74fe26a1ebe32931783569f2e762e3c2c974901f 2025-12-04T08:11:15.9963138Z * [new tag] trunk/76aeb8c7e0f795b3fddca134cbea9a69da3ee696 -> trunk/76aeb8c7e0f795b3fddca134cbea9a69da3ee696 2025-12-04T08:11:15.9964307Z * [new tag] trunk/7741edd4ed665f3988052e260863efb508d61a03 -> trunk/7741edd4ed665f3988052e260863efb508d61a03 2025-12-04T08:11:15.9970342Z * [new tag] trunk/78adb3b3df41b45d2368b67226d2f864b78939a6 -> trunk/78adb3b3df41b45d2368b67226d2f864b78939a6 2025-12-04T08:11:15.9971018Z * [new tag] trunk/79d7b178225e5ed24d4e1db74e5abbff848f5fb7 -> trunk/79d7b178225e5ed24d4e1db74e5abbff848f5fb7 2025-12-04T08:11:15.9971410Z * [new tag] trunk/7a1e316115fc6996b3f2336822ba5d5f6179f0c3 -> trunk/7a1e316115fc6996b3f2336822ba5d5f6179f0c3 2025-12-04T08:11:15.9971922Z * [new tag] trunk/7a41b66367c38d0af3e8a90f7be48d6b281e7bca -> trunk/7a41b66367c38d0af3e8a90f7be48d6b281e7bca 2025-12-04T08:11:15.9972302Z * [new tag] trunk/7b7af390ea8541c611d1ce2018a6934188fc197b -> trunk/7b7af390ea8541c611d1ce2018a6934188fc197b 2025-12-04T08:11:15.9972802Z * [new tag] trunk/7ba4680f3755a560af81aa0f688791e367aa3609 -> trunk/7ba4680f3755a560af81aa0f688791e367aa3609 2025-12-04T08:11:15.9973195Z * [new tag] trunk/7bc2a66ded06a0b2549aa51d807edc5dc3e73d1b -> trunk/7bc2a66ded06a0b2549aa51d807edc5dc3e73d1b 2025-12-04T08:11:15.9973580Z * [new tag] trunk/7c648509a7470ace9fb2bae960dd4790f7e943e9 -> trunk/7c648509a7470ace9fb2bae960dd4790f7e943e9 2025-12-04T08:11:15.9973984Z * [new tag] trunk/7cbc2d034cecd21ab5c9707d0a9c525c17143fb8 -> trunk/7cbc2d034cecd21ab5c9707d0a9c525c17143fb8 2025-12-04T08:11:15.9974570Z * [new tag] trunk/7d1bbaf4ba301ea3fba6f3c7bc02d58f6417aaed -> trunk/7d1bbaf4ba301ea3fba6f3c7bc02d58f6417aaed 2025-12-04T08:11:15.9975335Z * [new tag] trunk/7d2a33e4ebf60b217a3cd77feae19231eb996fc8 -> trunk/7d2a33e4ebf60b217a3cd77feae19231eb996fc8 2025-12-04T08:11:15.9976457Z * [new tag] trunk/7eb625920054b1126a7d2d99818aaa188c6ba95e -> trunk/7eb625920054b1126a7d2d99818aaa188c6ba95e 2025-12-04T08:11:15.9977322Z * [new tag] trunk/7f55ba19c456a3d6cc443dd9edb6bb7cca677ead -> trunk/7f55ba19c456a3d6cc443dd9edb6bb7cca677ead 2025-12-04T08:11:15.9978454Z * [new tag] trunk/81af382128efa094d8702e18f2c133760904c718 -> trunk/81af382128efa094d8702e18f2c133760904c718 2025-12-04T08:11:15.9979937Z * [new tag] trunk/84149583d483e9c973c9a0feda70e4f3964947b0 -> trunk/84149583d483e9c973c9a0feda70e4f3964947b0 2025-12-04T08:11:15.9981112Z * [new tag] trunk/85a315917efe82c24306be805c584ec044951c75 -> trunk/85a315917efe82c24306be805c584ec044951c75 2025-12-04T08:11:15.9982075Z * [new tag] trunk/87329491c82a5f8c1cc4ec11d8f55a5de2551ece -> trunk/87329491c82a5f8c1cc4ec11d8f55a5de2551ece 2025-12-04T08:11:15.9982981Z * [new tag] trunk/892640e25aeefa8007c5af837214b4502b6b62a6 -> trunk/892640e25aeefa8007c5af837214b4502b6b62a6 2025-12-04T08:11:15.9984294Z * [new tag] trunk/89e3bbcb5b5321dc8b9520b4d5a8ee60cea1d0b4 -> trunk/89e3bbcb5b5321dc8b9520b4d5a8ee60cea1d0b4 2025-12-04T08:11:15.9985211Z * [new tag] trunk/8c73bbbb02159223c0c97d268a0a74cb78158a1c -> trunk/8c73bbbb02159223c0c97d268a0a74cb78158a1c 2025-12-04T08:11:15.9986385Z * [new tag] trunk/8d56e98c8db988a22cb2dfaeefb30bc7d2a3cc43 -> trunk/8d56e98c8db988a22cb2dfaeefb30bc7d2a3cc43 2025-12-04T08:11:15.9987485Z * [new tag] trunk/8d9dd9603e5ee26c01007f0cd4f018e584840922 -> trunk/8d9dd9603e5ee26c01007f0cd4f018e584840922 2025-12-04T08:11:15.9988599Z * [new tag] trunk/8ef0c0b02b062d75e7c9be2594914a3e784d23ca -> trunk/8ef0c0b02b062d75e7c9be2594914a3e784d23ca 2025-12-04T08:11:15.9989696Z * [new tag] trunk/90b27e7e8352cde97d32ddad24740ef819633f38 -> trunk/90b27e7e8352cde97d32ddad24740ef819633f38 2025-12-04T08:11:15.9990562Z * [new tag] trunk/90f0139e64b2951815d524b6a373bed20c4fbf90 -> trunk/90f0139e64b2951815d524b6a373bed20c4fbf90 2025-12-04T08:11:15.9991444Z * [new tag] trunk/93d0d6838c56af59b0dba794e6aa08f0c1c7799c -> trunk/93d0d6838c56af59b0dba794e6aa08f0c1c7799c 2025-12-04T08:11:15.9992567Z * [new tag] trunk/94ca8d5f1e81fea3ae488650a0fb6795049a9f87 -> trunk/94ca8d5f1e81fea3ae488650a0fb6795049a9f87 2025-12-04T08:11:15.9993517Z * [new tag] trunk/9844fbeadd5cebdf1281d6fbf79164139c352693 -> trunk/9844fbeadd5cebdf1281d6fbf79164139c352693 2025-12-04T08:11:15.9994674Z * [new tag] trunk/99024dec888ec1e50b546822a32b6fb2f35e5eaa -> trunk/99024dec888ec1e50b546822a32b6fb2f35e5eaa 2025-12-04T08:11:15.9995630Z * [new tag] trunk/9a296e640fc88aa44d275b48cd9cc30c573b169d -> trunk/9a296e640fc88aa44d275b48cd9cc30c573b169d 2025-12-04T08:11:15.9996863Z * [new tag] trunk/9b3e34d8589b29f7b4e7fab6f78711b7ca6e4639 -> trunk/9b3e34d8589b29f7b4e7fab6f78711b7ca6e4639 2025-12-04T08:11:15.9998082Z * [new tag] trunk/9cd055e547e9b67a5f9827f8999c38d7eda1bcb8 -> trunk/9cd055e547e9b67a5f9827f8999c38d7eda1bcb8 2025-12-04T08:11:15.9999235Z * [new tag] trunk/9f0df5686cb4ada94f94620acba2e3c3f363b11d -> trunk/9f0df5686cb4ada94f94620acba2e3c3f363b11d 2025-12-04T08:11:16.0000194Z * [new tag] trunk/9f7fceb887d0cfa0326a59b887821c63ff11340a -> trunk/9f7fceb887d0cfa0326a59b887821c63ff11340a 2025-12-04T08:11:16.0001359Z * [new tag] trunk/9f8ef8855d3078d70f7b782540ff2aaf158d6742 -> trunk/9f8ef8855d3078d70f7b782540ff2aaf158d6742 2025-12-04T08:11:16.0002518Z * [new tag] trunk/9fb52efc797b47a1f425a03aa5e47b866d8b1098 -> trunk/9fb52efc797b47a1f425a03aa5e47b866d8b1098 2025-12-04T08:11:16.0003502Z * [new tag] trunk/9ff4a2ebc5762d46c73e46b1b523d7ff349fedfa -> trunk/9ff4a2ebc5762d46c73e46b1b523d7ff349fedfa 2025-12-04T08:11:16.0004591Z * [new tag] trunk/a0f3937b94422354538ebbd47202d5b0e8a3fd0d -> trunk/a0f3937b94422354538ebbd47202d5b0e8a3fd0d 2025-12-04T08:11:16.0005884Z * [new tag] trunk/a15066c28b3145e6edbfc88359d0411d14cfc70c -> trunk/a15066c28b3145e6edbfc88359d0411d14cfc70c 2025-12-04T08:11:16.0006967Z * [new tag] trunk/a20f775e82564d2a9979221ed7f3b8d7cf54ce90 -> trunk/a20f775e82564d2a9979221ed7f3b8d7cf54ce90 2025-12-04T08:11:16.0007942Z * [new tag] trunk/a2973fb00ec002dd4b6bbf07385f066efb259b8c -> trunk/a2973fb00ec002dd4b6bbf07385f066efb259b8c 2025-12-04T08:11:16.0008912Z * [new tag] trunk/a7dc6dab9ad911259d4801c502907e531594db45 -> trunk/a7dc6dab9ad911259d4801c502907e531594db45 2025-12-04T08:11:16.0009913Z * [new tag] trunk/a951a9cee65c01660bbc6e6fded90ecb10fa6109 -> trunk/a951a9cee65c01660bbc6e6fded90ecb10fa6109 2025-12-04T08:11:16.0011109Z * [new tag] trunk/abfa1a6d65c7c159e35c72c25979b9da4971689e -> trunk/abfa1a6d65c7c159e35c72c25979b9da4971689e 2025-12-04T08:11:16.0012185Z * [new tag] trunk/ae3a2395bf66151078e2d201716f7d63ce1c6f3e -> trunk/ae3a2395bf66151078e2d201716f7d63ce1c6f3e 2025-12-04T08:11:16.0013028Z * [new tag] trunk/afdff7f0325080dedac44d080cb5a3b0e65e6c5e -> trunk/afdff7f0325080dedac44d080cb5a3b0e65e6c5e 2025-12-04T08:11:16.0013932Z * [new tag] trunk/b1aed4e7a72c03a38f44543aaea0dae2e9b76d48 -> trunk/b1aed4e7a72c03a38f44543aaea0dae2e9b76d48 2025-12-04T08:11:16.0015050Z * [new tag] trunk/b1decff555cd50e2123c8c6e25cc0d447c411f62 -> trunk/b1decff555cd50e2123c8c6e25cc0d447c411f62 2025-12-04T08:11:16.0016212Z * [new tag] trunk/b2b6b034c9fd08672c40e63ef243556ad4c49bd2 -> trunk/b2b6b034c9fd08672c40e63ef243556ad4c49bd2 2025-12-04T08:11:16.0017162Z * [new tag] trunk/b39813b4a04931682b0491adba2138d01d716d99 -> trunk/b39813b4a04931682b0491adba2138d01d716d99 2025-12-04T08:11:16.0018347Z * [new tag] trunk/b3a7edb2311367974cc7cd764cfb11a5d6758b24 -> trunk/b3a7edb2311367974cc7cd764cfb11a5d6758b24 2025-12-04T08:11:16.0019435Z * [new tag] trunk/b4cc1329c86acaef6d42c1fac7169b8d870ab0d7 -> trunk/b4cc1329c86acaef6d42c1fac7169b8d870ab0d7 2025-12-04T08:11:16.0020556Z * [new tag] trunk/b555c39217f765759954a4f9f9bd1e9b87bed11a -> trunk/b555c39217f765759954a4f9f9bd1e9b87bed11a 2025-12-04T08:11:16.0021639Z * [new tag] trunk/b6b6c80379388b7f9932c3e6a0f9907bf430e417 -> trunk/b6b6c80379388b7f9932c3e6a0f9907bf430e417 2025-12-04T08:11:16.0022760Z * [new tag] trunk/b6b6d912df0b6f4082f8e50b18bd1de1dd7325f4 -> trunk/b6b6d912df0b6f4082f8e50b18bd1de1dd7325f4 2025-12-04T08:11:16.0023818Z * [new tag] trunk/b7d60685f8cbc939b68a20871e90db67e729329b -> trunk/b7d60685f8cbc939b68a20871e90db67e729329b 2025-12-04T08:11:16.0024962Z * [new tag] trunk/b7f6b9a4fc6259f7af068f31868b3119bb1bac3e -> trunk/b7f6b9a4fc6259f7af068f31868b3119bb1bac3e 2025-12-04T08:11:16.0025959Z * [new tag] trunk/b8c4ba3593761e7b2a3ebd86f040fb07b47c02cf -> trunk/b8c4ba3593761e7b2a3ebd86f040fb07b47c02cf 2025-12-04T08:11:16.0027361Z * [new tag] trunk/b9c8f3a4884befb965ff42620ce44a71b04887f5 -> trunk/b9c8f3a4884befb965ff42620ce44a71b04887f5 2025-12-04T08:11:16.0028527Z * [new tag] trunk/ba1412546f3082c0958c077acc2025e4dbc33f1f -> trunk/ba1412546f3082c0958c077acc2025e4dbc33f1f 2025-12-04T08:11:16.0029630Z * [new tag] trunk/bac403c0b38c63bdbcc0c31f1c2b0bc0260f610f -> trunk/bac403c0b38c63bdbcc0c31f1c2b0bc0260f610f 2025-12-04T08:11:16.0030607Z * [new tag] trunk/bb3034198b459401fabeab254e1b99f0115046e2 -> trunk/bb3034198b459401fabeab254e1b99f0115046e2 2025-12-04T08:11:16.0031757Z * [new tag] trunk/bc39b2b3bc7a6e19a42e62bd576974035086fe55 -> trunk/bc39b2b3bc7a6e19a42e62bd576974035086fe55 2025-12-04T08:11:16.0033063Z * [new tag] trunk/bc43d5b297f207a11d83d77ddf0152bdaabe15a8 -> trunk/bc43d5b297f207a11d83d77ddf0152bdaabe15a8 2025-12-04T08:11:16.0034174Z * [new tag] trunk/bc6a4863c7246a6493d16d4ea6eee71ec07c6a09 -> trunk/bc6a4863c7246a6493d16d4ea6eee71ec07c6a09 2025-12-04T08:11:16.0035390Z * [new tag] trunk/bea4912944defdbcb8b061800caab6cbbbd01df5 -> trunk/bea4912944defdbcb8b061800caab6cbbbd01df5 2025-12-04T08:11:16.0036718Z * [new tag] trunk/c04e2c656f48d82d1521b867bbbf03967b9b7564 -> trunk/c04e2c656f48d82d1521b867bbbf03967b9b7564 2025-12-04T08:11:16.0037883Z * [new tag] trunk/c0660bcee27e7d7731634e274576a7081882bede -> trunk/c0660bcee27e7d7731634e274576a7081882bede 2025-12-04T08:11:16.0039088Z * [new tag] trunk/c178ed43d3d99cbefe84fbfb21d6f282b20d62ac -> trunk/c178ed43d3d99cbefe84fbfb21d6f282b20d62ac 2025-12-04T08:11:16.0040050Z * [new tag] trunk/c55b1e8f61d041ee436d697449eb028931d574fb -> trunk/c55b1e8f61d041ee436d697449eb028931d574fb 2025-12-04T08:11:16.0040989Z * [new tag] trunk/c6ae7579fe12fe75f1a8f7043a494c90567273f1 -> trunk/c6ae7579fe12fe75f1a8f7043a494c90567273f1 2025-12-04T08:11:16.0042343Z * [new tag] trunk/c8210e7d94bad5ae21ac389fa4ba8a463c76c4d0 -> trunk/c8210e7d94bad5ae21ac389fa4ba8a463c76c4d0 2025-12-04T08:11:16.0043497Z * [new tag] trunk/cc0853af42122f8185321f542616f4474e717f09 -> trunk/cc0853af42122f8185321f542616f4474e717f09 2025-12-04T08:11:16.0044364Z * [new tag] trunk/cddec6562eabfa390d014fa3741a5659cf9c94c9 -> trunk/cddec6562eabfa390d014fa3741a5659cf9c94c9 2025-12-04T08:11:16.0045539Z * [new tag] trunk/ce5e7e3bf1f4b69a4f4f93d288ba75b906df492a -> trunk/ce5e7e3bf1f4b69a4f4f93d288ba75b906df492a 2025-12-04T08:11:16.0046675Z * [new tag] trunk/d038b0130ec7c20ebcac219301292fd8e98a1ace -> trunk/d038b0130ec7c20ebcac219301292fd8e98a1ace 2025-12-04T08:11:16.0047557Z * [new tag] trunk/d16447dacaf2420ea175f0c275c75da951f57d39 -> trunk/d16447dacaf2420ea175f0c275c75da951f57d39 2025-12-04T08:11:16.0048690Z * [new tag] trunk/d19f1e8cab6810bb2e99141f9976665954c67a50 -> trunk/d19f1e8cab6810bb2e99141f9976665954c67a50 2025-12-04T08:11:16.0049650Z * [new tag] trunk/d1c9f03b2a5af4104721712f8cdffe9b4f340c01 -> trunk/d1c9f03b2a5af4104721712f8cdffe9b4f340c01 2025-12-04T08:11:16.0050890Z * [new tag] trunk/d40f4950f2b7f7aa380a22fe0f6166e71680fbcf -> trunk/d40f4950f2b7f7aa380a22fe0f6166e71680fbcf 2025-12-04T08:11:16.0051845Z * [new tag] trunk/d5038950bacfe36bbf24a47a455fe76901deb8e8 -> trunk/d5038950bacfe36bbf24a47a455fe76901deb8e8 2025-12-04T08:11:16.0052777Z * [new tag] trunk/d54ff42903c2ae0533931ff11d23b35f875bdb3d -> trunk/d54ff42903c2ae0533931ff11d23b35f875bdb3d 2025-12-04T08:11:16.0053974Z * [new tag] trunk/d76697633a2d2b9cced1ae21161849b33bfe7e47 -> trunk/d76697633a2d2b9cced1ae21161849b33bfe7e47 2025-12-04T08:11:16.0054946Z * [new tag] trunk/d78f52b199c547106d4cd9d2856dd0805c118bf1 -> trunk/d78f52b199c547106d4cd9d2856dd0805c118bf1 2025-12-04T08:11:16.0056117Z * [new tag] trunk/d8fd5c6eed28e5004150691d048a3f6785e19a8e -> trunk/d8fd5c6eed28e5004150691d048a3f6785e19a8e 2025-12-04T08:11:16.0057079Z * [new tag] trunk/d900f5e86745dec76713f4b0ef07005ef36b2f5a -> trunk/d900f5e86745dec76713f4b0ef07005ef36b2f5a 2025-12-04T08:11:16.0058232Z * [new tag] trunk/d973dc6b87d763859fe1c5bd1287e3b6b1c49d1b -> trunk/d973dc6b87d763859fe1c5bd1287e3b6b1c49d1b 2025-12-04T08:11:16.0059379Z * [new tag] trunk/d998c03304cb6ede76e1ed535b4ddeb6c2bf40ec -> trunk/d998c03304cb6ede76e1ed535b4ddeb6c2bf40ec 2025-12-04T08:11:16.0060363Z * [new tag] trunk/d9cb8a70833101dbbe16b99520cfbdd70d0a87bf -> trunk/d9cb8a70833101dbbe16b99520cfbdd70d0a87bf 2025-12-04T08:11:16.0061326Z * [new tag] trunk/d9d5e91b43f70eb8637af55db6856d49be391ffd -> trunk/d9d5e91b43f70eb8637af55db6856d49be391ffd 2025-12-04T08:11:16.0062457Z * [new tag] trunk/dd18a75336a4fbd7497955cc5665904724fce889 -> trunk/dd18a75336a4fbd7497955cc5665904724fce889 2025-12-04T08:11:16.0063463Z * [new tag] trunk/ded9bcd61a059bf723e6e84689552962b480ea77 -> trunk/ded9bcd61a059bf723e6e84689552962b480ea77 2025-12-04T08:11:16.0064960Z * [new tag] trunk/dfbd3714d15c37a7b83b322a6b60f997fc00f50c -> trunk/dfbd3714d15c37a7b83b322a6b60f997fc00f50c 2025-12-04T08:11:16.0066258Z * [new tag] trunk/e115f9f4e4b039f8e9a642aaa2bd8254a920541b -> trunk/e115f9f4e4b039f8e9a642aaa2bd8254a920541b 2025-12-04T08:11:16.0067014Z * [new tag] trunk/e3f24fd73ad74c6e7176687986436956c7c18235 -> trunk/e3f24fd73ad74c6e7176687986436956c7c18235 2025-12-04T08:11:16.0068336Z * [new tag] trunk/e7d24d3ff93d1503ba63860b7057438ad93f918e -> trunk/e7d24d3ff93d1503ba63860b7057438ad93f918e 2025-12-04T08:11:16.0069468Z * [new tag] trunk/ea7035f462a0d2830865ee86c832bd101e1427fc -> trunk/ea7035f462a0d2830865ee86c832bd101e1427fc 2025-12-04T08:11:16.0070952Z * [new tag] trunk/eb5c63652a33da42e7018c23df5f20a3eb4c6ccf -> trunk/eb5c63652a33da42e7018c23df5f20a3eb4c6ccf 2025-12-04T08:11:16.0071945Z * [new tag] trunk/ec2c71f5c85021b8938cdafadce24c15a36fd93e -> trunk/ec2c71f5c85021b8938cdafadce24c15a36fd93e 2025-12-04T08:11:16.0073225Z * [new tag] trunk/ecbcc3f6bf327856b435b259ac63cc2f328c4b4e -> trunk/ecbcc3f6bf327856b435b259ac63cc2f328c4b4e 2025-12-04T08:11:16.0077987Z * [new tag] trunk/ee87bbe876c42575e961b32a0827d76bc9782ca2 -> trunk/ee87bbe876c42575e961b32a0827d76bc9782ca2 2025-12-04T08:11:16.0079117Z * [new tag] trunk/ef019d1d431c4c5a95b594cb90d40a50cd00f5e4 -> trunk/ef019d1d431c4c5a95b594cb90d40a50cd00f5e4 2025-12-04T08:11:16.0080139Z * [new tag] trunk/ef8ecc13830a86c4b231f1aad9aba7851db61b53 -> trunk/ef8ecc13830a86c4b231f1aad9aba7851db61b53 2025-12-04T08:11:16.0081303Z * [new tag] trunk/f1076f5510920044912247b1abb8760cb820f598 -> trunk/f1076f5510920044912247b1abb8760cb820f598 2025-12-04T08:11:16.0082324Z * [new tag] trunk/f2d6a75a00a1d648ca9a0abc6a33e14c3dea6c40 -> trunk/f2d6a75a00a1d648ca9a0abc6a33e14c3dea6c40 2025-12-04T08:11:16.0083454Z * [new tag] trunk/f47dd0ddef1359e5b43e4b962412f67b30ecde56 -> trunk/f47dd0ddef1359e5b43e4b962412f67b30ecde56 2025-12-04T08:11:16.0084475Z * [new tag] trunk/f49d32dfa4730dcfb1b60eeeb369b5889da983c8 -> trunk/f49d32dfa4730dcfb1b60eeeb369b5889da983c8 2025-12-04T08:11:16.0085427Z * [new tag] trunk/f4dedf78fc30fd4b93975787ca6074ee89db9467 -> trunk/f4dedf78fc30fd4b93975787ca6074ee89db9467 2025-12-04T08:11:16.0086515Z * [new tag] trunk/f7c0d03819ebed05c4038f095d66d1b8c54aca17 -> trunk/f7c0d03819ebed05c4038f095d66d1b8c54aca17 2025-12-04T08:11:16.0087646Z * [new tag] trunk/f7e1bd80a063e17453c361837ba6ea2570920a73 -> trunk/f7e1bd80a063e17453c361837ba6ea2570920a73 2025-12-04T08:11:16.0088503Z * [new tag] trunk/f9bd6c53624c7c0ea3772de78498326e84c2f0e7 -> trunk/f9bd6c53624c7c0ea3772de78498326e84c2f0e7 2025-12-04T08:11:16.0089774Z * [new tag] trunk/fb5be221a46b51bfc9509013b0d85bc5a9d4f15b -> trunk/fb5be221a46b51bfc9509013b0d85bc5a9d4f15b 2025-12-04T08:11:16.0090894Z * [new tag] trunk/fdf863d5e1de3b2688c9511e96876e34581dbfd7 -> trunk/fdf863d5e1de3b2688c9511e96876e34581dbfd7 2025-12-04T08:11:16.0092533Z * [new tag] trunk/fe0e65adfc0e7ca6e5f57e6ea8b16bd5cc967307 -> trunk/fe0e65adfc0e7ca6e5f57e6ea8b16bd5cc967307 2025-12-04T08:11:16.0093536Z * [new tag] trunk/fec710bf89173f5355468a7ce1afe9157c3d9009 -> trunk/fec710bf89173f5355468a7ce1afe9157c3d9009 2025-12-04T08:11:16.0094456Z * [new tag] trunk/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 -> trunk/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:11:16.0095349Z * [new tag] v0.1.1 -> v0.1.1 2025-12-04T08:11:16.0096350Z * [new tag] v0.1.10 -> v0.1.10 2025-12-04T08:11:16.0097365Z * [new tag] v0.1.11 -> v0.1.11 2025-12-04T08:11:16.0098374Z * [new tag] v0.1.12 -> v0.1.12 2025-12-04T08:11:16.0099419Z * [new tag] v0.1.2 -> v0.1.2 2025-12-04T08:11:16.0100321Z * [new tag] v0.1.3 -> v0.1.3 2025-12-04T08:11:16.0101268Z * [new tag] v0.1.4 -> v0.1.4 2025-12-04T08:11:16.0102352Z * [new tag] v0.1.5 -> v0.1.5 2025-12-04T08:11:16.0103312Z * [new tag] v0.1.6 -> v0.1.6 2025-12-04T08:11:16.0104290Z * [new tag] v0.1.7 -> v0.1.7 2025-12-04T08:11:16.0105288Z * [new tag] v0.1.8 -> v0.1.8 2025-12-04T08:11:16.0106344Z * [new tag] v0.1.9 -> v0.1.9 2025-12-04T08:11:16.0107322Z * [new tag] v0.2.0 -> v0.2.0 2025-12-04T08:11:16.0108348Z * [new tag] v0.3.0 -> v0.3.0 2025-12-04T08:11:16.0109448Z * [new tag] v0.3.1 -> v0.3.1 2025-12-04T08:11:16.0110451Z * [new tag] v0.4.0 -> v0.4.0 2025-12-04T08:11:16.0111447Z * [new tag] v0.4.1 -> v0.4.1 2025-12-04T08:11:16.0112453Z * [new tag] v1.0.0 -> v1.0.0 2025-12-04T08:11:16.0113480Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-12-04T08:11:16.0114444Z * [new tag] v1.0.1 -> v1.0.1 2025-12-04T08:11:16.0115534Z * [new tag] v1.0rc0 -> v1.0rc0 2025-12-04T08:11:16.0116300Z * [new tag] v1.0rc1 -> v1.0rc1 2025-12-04T08:11:16.0117383Z * [new tag] v1.1.0 -> v1.1.0 2025-12-04T08:11:16.0118926Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-12-04T08:11:16.0120126Z * [new tag] v1.10.0 -> v1.10.0 2025-12-04T08:11:16.0121214Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-12-04T08:11:16.0122283Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-12-04T08:11:16.0123021Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-12-04T08:11:16.0124145Z * [new tag] v1.10.1 -> v1.10.1 2025-12-04T08:11:16.0124880Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-12-04T08:11:16.0125800Z * [new tag] v1.10.2 -> v1.10.2 2025-12-04T08:11:16.0126535Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-12-04T08:11:16.0127667Z * [new tag] v1.11.0 -> v1.11.0 2025-12-04T08:11:16.0128785Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-12-04T08:11:16.0129901Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-12-04T08:11:16.0131018Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-12-04T08:11:16.0132059Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-12-04T08:11:16.0133129Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-12-04T08:11:16.0134022Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-12-04T08:11:16.0134730Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-12-04T08:11:16.0135900Z * [new tag] v1.12.0 -> v1.12.0 2025-12-04T08:11:16.0137082Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-12-04T08:11:16.0138118Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-12-04T08:11:16.0139257Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-12-04T08:11:16.0140304Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-12-04T08:11:16.0141409Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-12-04T08:11:16.0142525Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-12-04T08:11:16.0143439Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-12-04T08:11:16.0144360Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-12-04T08:11:16.0145034Z * [new tag] v1.12.1 -> v1.12.1 2025-12-04T08:11:16.0146332Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-12-04T08:11:16.0147351Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-12-04T08:11:16.0148462Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-12-04T08:11:16.0149592Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-12-04T08:11:16.0150344Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-12-04T08:11:16.0151477Z * [new tag] v1.13.0 -> v1.13.0 2025-12-04T08:11:16.0152516Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-12-04T08:11:16.0153538Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-12-04T08:11:16.0154584Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-12-04T08:11:16.0155831Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-12-04T08:11:16.0156573Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-12-04T08:11:16.0157467Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-12-04T08:11:16.0158735Z * [new tag] v1.13.1 -> v1.13.1 2025-12-04T08:11:16.0159460Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-12-04T08:11:16.0160560Z * [new tag] v1.2.0 -> v1.2.0 2025-12-04T08:11:16.0161591Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-12-04T08:11:16.0162617Z * [new tag] v1.3.0 -> v1.3.0 2025-12-04T08:11:16.0163620Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-12-04T08:11:16.0164464Z * [new tag] v1.3.1 -> v1.3.1 2025-12-04T08:11:16.0165499Z * [new tag] v1.4.0 -> v1.4.0 2025-12-04T08:11:16.0166503Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-12-04T08:11:16.0167276Z * [new tag] v1.4.1 -> v1.4.1 2025-12-04T08:11:16.0168409Z * [new tag] v1.5.0 -> v1.5.0 2025-12-04T08:11:16.0169576Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-12-04T08:11:16.0170631Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-12-04T08:11:16.0171838Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-12-04T08:11:16.0173004Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-12-04T08:11:16.0173882Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-12-04T08:11:16.0175043Z * [new tag] v1.5.1 -> v1.5.1 2025-12-04T08:11:16.0175808Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-12-04T08:11:16.0176690Z * [new tag] v1.6.0 -> v1.6.0 2025-12-04T08:11:16.0177746Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-12-04T08:11:16.0178853Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-12-04T08:11:16.0179987Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-12-04T08:11:16.0180986Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-12-04T08:11:16.0182045Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-12-04T08:11:16.0183083Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-12-04T08:11:16.0184301Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-12-04T08:11:16.0185428Z * [new tag] v1.7.0 -> v1.7.0 2025-12-04T08:11:16.0186578Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-12-04T08:11:16.0187650Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-12-04T08:11:16.0188702Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-12-04T08:11:16.0189554Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-12-04T08:11:16.0190645Z * [new tag] v1.7.1 -> v1.7.1 2025-12-04T08:11:16.0191791Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-12-04T08:11:16.0192948Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-12-04T08:11:16.0193862Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-12-04T08:11:16.0195031Z * [new tag] v1.8.0 -> v1.8.0 2025-12-04T08:11:16.0195792Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-12-04T08:11:16.0196912Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-12-04T08:11:16.0198039Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-12-04T08:11:16.0199085Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-12-04T08:11:16.0199846Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-12-04T08:11:16.0200728Z * [new tag] v1.8.1 -> v1.8.1 2025-12-04T08:11:16.0201820Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-12-04T08:11:16.0202691Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-12-04T08:11:16.0203534Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-12-04T08:11:16.0205267Z * [new tag] v1.8.2 -> v1.8.2 2025-12-04T08:11:16.0205995Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-12-04T08:11:16.0207116Z * [new tag] v1.9.0 -> v1.9.0 2025-12-04T08:11:16.0208216Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-12-04T08:11:16.0209303Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-12-04T08:11:16.0210414Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-12-04T08:11:16.0211156Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-12-04T08:11:16.0212294Z * [new tag] v1.9.1 -> v1.9.1 2025-12-04T08:11:16.0213565Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-12-04T08:11:16.0214310Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-12-04T08:11:16.0215478Z * [new tag] v2.0.0 -> v2.0.0 2025-12-04T08:11:16.0216545Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-12-04T08:11:16.0217633Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-12-04T08:11:16.0218704Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-12-04T08:11:16.0219724Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-12-04T08:11:16.0220867Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-12-04T08:11:16.0221613Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-12-04T08:11:16.0222786Z * [new tag] v2.0.1 -> v2.0.1 2025-12-04T08:11:16.0223898Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-12-04T08:11:16.0224666Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-12-04T08:11:16.0225714Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-12-04T08:11:16.0226572Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-12-04T08:11:16.0228140Z * [new tag] v2.1.0 -> v2.1.0 2025-12-04T08:11:16.0229186Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-12-04T08:11:16.0230329Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-12-04T08:11:16.0231368Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-12-04T08:11:16.0232471Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-12-04T08:11:16.0233615Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-12-04T08:11:16.0234364Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-12-04T08:11:16.0235487Z * [new tag] v2.1.1 -> v2.1.1 2025-12-04T08:11:16.0236541Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-12-04T08:11:16.0237639Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-12-04T08:11:16.0239059Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-12-04T08:11:16.0240152Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-12-04T08:11:16.0241363Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-12-04T08:11:16.0242089Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-12-04T08:11:16.0243216Z * [new tag] v2.1.2 -> v2.1.2 2025-12-04T08:11:16.0244409Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-12-04T08:11:16.0245527Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-12-04T08:11:16.0246326Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-12-04T08:11:16.0247487Z * [new tag] v2.2.0 -> v2.2.0 2025-12-04T08:11:16.0248601Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-12-04T08:11:16.0249666Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-12-04T08:11:16.0250688Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-12-04T08:11:16.0252090Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-12-04T08:11:16.0253122Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-12-04T08:11:16.0254224Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-12-04T08:11:16.0255081Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-12-04T08:11:16.0255952Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-12-04T08:11:16.0257070Z * [new tag] v2.2.1 -> v2.2.1 2025-12-04T08:11:16.0258174Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-12-04T08:11:16.0259037Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-12-04T08:11:16.0259796Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-12-04T08:11:16.0260706Z * [new tag] v2.2.2 -> v2.2.2 2025-12-04T08:11:16.0261927Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-12-04T08:11:16.0262818Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-12-04T08:11:16.0263559Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-12-04T08:11:16.0264755Z * [new tag] v2.3.0 -> v2.3.0 2025-12-04T08:11:16.0265841Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-12-04T08:11:16.0266973Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-12-04T08:11:16.0268115Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-12-04T08:11:16.0268967Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-12-04T08:11:16.0270073Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-12-04T08:11:16.0271168Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-12-04T08:11:16.0272331Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-12-04T08:11:16.0273799Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-12-04T08:11:16.0274436Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-12-04T08:11:16.0275563Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-12-04T08:11:16.0276642Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-12-04T08:11:16.0277401Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-12-04T08:11:16.0278397Z * [new tag] v2.3.1 -> v2.3.1 2025-12-04T08:11:16.0279544Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-12-04T08:11:16.0280616Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-12-04T08:11:16.0281750Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-12-04T08:11:16.0282894Z * [new tag] v2.4.0 -> v2.4.0 2025-12-04T08:11:16.0283965Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-12-04T08:11:16.0285027Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-12-04T08:11:16.0286080Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-12-04T08:11:16.0287092Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-12-04T08:11:16.0288273Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-12-04T08:11:16.0289314Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-12-04T08:11:16.0290412Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-12-04T08:11:16.0291479Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-12-04T08:11:16.0292599Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-12-04T08:11:16.0293467Z * [new tag] v2.4.1 -> v2.4.1 2025-12-04T08:11:16.0294629Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-12-04T08:11:16.0295797Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-12-04T08:11:16.0296902Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-12-04T08:11:16.0297961Z * [new tag] v2.5.0 -> v2.5.0 2025-12-04T08:11:16.0299065Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-12-04T08:11:16.0299917Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-12-04T08:11:16.0300977Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-12-04T08:11:16.0301987Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-12-04T08:11:16.0303095Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-12-04T08:11:16.0304188Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-12-04T08:11:16.0305326Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-12-04T08:11:16.0306536Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-12-04T08:11:16.0307604Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-12-04T08:11:16.0308736Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-12-04T08:11:16.0309579Z * [new tag] v2.5.1 -> v2.5.1 2025-12-04T08:11:16.0310433Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-12-04T08:11:16.0311293Z * [new tag] v2.6.0 -> v2.6.0 2025-12-04T08:11:16.0312458Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-12-04T08:11:16.0313615Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-12-04T08:11:16.0314701Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-12-04T08:11:16.0315796Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-12-04T08:11:16.0317184Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-12-04T08:11:16.0318384Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-12-04T08:11:16.0319945Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-12-04T08:11:16.0321099Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-12-04T08:11:16.0322242Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-12-04T08:11:16.0323535Z * [new tag] v2.7.0 -> v2.7.0 2025-12-04T08:11:16.0324607Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-12-04T08:11:16.0325486Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-12-04T08:11:16.0326666Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-12-04T08:11:16.0327829Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-12-04T08:11:16.0328982Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-12-04T08:11:16.0330027Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-12-04T08:11:16.0331070Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-12-04T08:11:16.0332181Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-12-04T08:11:16.0333338Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-12-04T08:11:16.0334503Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-12-04T08:11:16.0335361Z * [new tag] v2.7.1 -> v2.7.1 2025-12-04T08:11:16.0336479Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-12-04T08:11:16.0337596Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-12-04T08:11:16.0338789Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-12-04T08:11:16.0339920Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-12-04T08:11:16.0341001Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-12-04T08:11:16.0341957Z * [new tag] v2.8.0 -> v2.8.0 2025-12-04T08:11:16.0343084Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-12-04T08:11:16.0344204Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-12-04T08:11:16.0345352Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-12-04T08:11:16.0346506Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-12-04T08:11:16.0347612Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-12-04T08:11:16.0348850Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-12-04T08:11:16.0349927Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-12-04T08:11:16.0351032Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-12-04T08:11:16.0352181Z * [new tag] v2.9.0 -> v2.9.0 2025-12-04T08:11:16.0353248Z * [new tag] v2.9.0-rc1 -> v2.9.0-rc1 2025-12-04T08:11:16.0354405Z * [new tag] v2.9.0-rc10 -> v2.9.0-rc10 2025-12-04T08:11:16.0355524Z * [new tag] v2.9.0-rc11 -> v2.9.0-rc11 2025-12-04T08:11:16.0356900Z * [new tag] v2.9.0-rc2 -> v2.9.0-rc2 2025-12-04T08:11:16.0358121Z * [new tag] v2.9.0-rc3 -> v2.9.0-rc3 2025-12-04T08:11:16.0359255Z * [new tag] v2.9.0-rc4 -> v2.9.0-rc4 2025-12-04T08:11:16.0360387Z * [new tag] v2.9.0-rc5 -> v2.9.0-rc5 2025-12-04T08:11:16.0361710Z * [new tag] v2.9.0-rc6 -> v2.9.0-rc6 2025-12-04T08:11:16.0362836Z * [new tag] v2.9.0-rc7 -> v2.9.0-rc7 2025-12-04T08:11:16.0364207Z * [new tag] v2.9.0-rc8 -> v2.9.0-rc8 2025-12-04T08:11:16.0364945Z * [new tag] v2.9.0-rc9 -> v2.9.0-rc9 2025-12-04T08:11:16.0365867Z * [new tag] v2.9.1 -> v2.9.1 2025-12-04T08:11:16.0367011Z * [new tag] v2.9.1-rc1 -> v2.9.1-rc1 2025-12-04T08:11:16.0368149Z * [new tag] v2.9.1-rc2 -> v2.9.1-rc2 2025-12-04T08:11:16.0369639Z * [new tag] viable/strict/1759343184 -> viable/strict/1759343184 2025-12-04T08:11:16.0370709Z * [new tag] viable/strict/1759346540 -> viable/strict/1759346540 2025-12-04T08:11:16.0371707Z * [new tag] viable/strict/1759348181 -> viable/strict/1759348181 2025-12-04T08:11:16.0372897Z * [new tag] viable/strict/1759350324 -> viable/strict/1759350324 2025-12-04T08:11:16.0373948Z * [new tag] viable/strict/1759351793 -> viable/strict/1759351793 2025-12-04T08:11:16.0374962Z * [new tag] viable/strict/1759353844 -> viable/strict/1759353844 2025-12-04T08:11:16.0376153Z * [new tag] viable/strict/1759355374 -> viable/strict/1759355374 2025-12-04T08:11:16.0377156Z * [new tag] viable/strict/1759357472 -> viable/strict/1759357472 2025-12-04T08:11:16.0378157Z * [new tag] viable/strict/1759361002 -> viable/strict/1759361002 2025-12-04T08:11:16.0379449Z * [new tag] viable/strict/1759362585 -> viable/strict/1759362585 2025-12-04T08:11:16.0380685Z * [new tag] viable/strict/1759365359 -> viable/strict/1759365359 2025-12-04T08:11:16.0381794Z * [new tag] viable/strict/1759370089 -> viable/strict/1759370089 2025-12-04T08:11:16.0382955Z * [new tag] viable/strict/1759377554 -> viable/strict/1759377554 2025-12-04T08:11:16.0384036Z * [new tag] viable/strict/1759379133 -> viable/strict/1759379133 2025-12-04T08:11:16.0385053Z * [new tag] viable/strict/1759389871 -> viable/strict/1759389871 2025-12-04T08:11:16.0386134Z * [new tag] viable/strict/1759393562 -> viable/strict/1759393562 2025-12-04T08:11:16.0387231Z * [new tag] viable/strict/1759395076 -> viable/strict/1759395076 2025-12-04T08:11:16.0388325Z * [new tag] viable/strict/1759398579 -> viable/strict/1759398579 2025-12-04T08:11:16.0389399Z * [new tag] viable/strict/1759404142 -> viable/strict/1759404142 2025-12-04T08:11:16.0390385Z * [new tag] viable/strict/1759405773 -> viable/strict/1759405773 2025-12-04T08:11:16.0391475Z * [new tag] viable/strict/1759408041 -> viable/strict/1759408041 2025-12-04T08:11:16.0392464Z * [new tag] viable/strict/1759411593 -> viable/strict/1759411593 2025-12-04T08:11:16.0393464Z * [new tag] viable/strict/1759427395 -> viable/strict/1759427395 2025-12-04T08:11:16.0394518Z * [new tag] viable/strict/1759434582 -> viable/strict/1759434582 2025-12-04T08:11:16.0395625Z * [new tag] viable/strict/1759436720 -> viable/strict/1759436720 2025-12-04T08:11:16.0396971Z * [new tag] viable/strict/1759440219 -> viable/strict/1759440219 2025-12-04T08:11:16.0398112Z * [new tag] viable/strict/1759441948 -> viable/strict/1759441948 2025-12-04T08:11:16.0399203Z * [new tag] viable/strict/1759443860 -> viable/strict/1759443860 2025-12-04T08:11:16.0400220Z * [new tag] viable/strict/1759445377 -> viable/strict/1759445377 2025-12-04T08:11:16.0401359Z * [new tag] viable/strict/1759447415 -> viable/strict/1759447415 2025-12-04T08:11:16.0402392Z * [new tag] viable/strict/1759451750 -> viable/strict/1759451750 2025-12-04T08:11:16.0403445Z * [new tag] viable/strict/1759453910 -> viable/strict/1759453910 2025-12-04T08:11:16.0404681Z * [new tag] viable/strict/1759456483 -> viable/strict/1759456483 2025-12-04T08:11:16.0405645Z * [new tag] viable/strict/1759459279 -> viable/strict/1759459279 2025-12-04T08:11:16.0407149Z * [new tag] viable/strict/1759460742 -> viable/strict/1759460742 2025-12-04T08:11:16.0408188Z * [new tag] viable/strict/1759462025 -> viable/strict/1759462025 2025-12-04T08:11:16.0409259Z * [new tag] viable/strict/1759469086 -> viable/strict/1759469086 2025-12-04T08:11:16.0410320Z * [new tag] viable/strict/1759470581 -> viable/strict/1759470581 2025-12-04T08:11:16.0411460Z * [new tag] viable/strict/1759472786 -> viable/strict/1759472786 2025-12-04T08:11:16.0412558Z * [new tag] viable/strict/1759476294 -> viable/strict/1759476294 2025-12-04T08:11:16.0413627Z * [new tag] viable/strict/1759479963 -> viable/strict/1759479963 2025-12-04T08:11:16.0414649Z * [new tag] viable/strict/1759492177 -> viable/strict/1759492177 2025-12-04T08:11:16.0415709Z * [new tag] viable/strict/1759519278 -> viable/strict/1759519278 2025-12-04T08:11:16.0416773Z * [new tag] viable/strict/1759524580 -> viable/strict/1759524580 2025-12-04T08:11:16.0417845Z * [new tag] viable/strict/1759528193 -> viable/strict/1759528193 2025-12-04T08:11:16.0419109Z * [new tag] viable/strict/1759533797 -> viable/strict/1759533797 2025-12-04T08:11:16.0420188Z * [new tag] viable/strict/1759542780 -> viable/strict/1759542780 2025-12-04T08:11:16.0421318Z * [new tag] viable/strict/1759549779 -> viable/strict/1759549779 2025-12-04T08:11:16.0422378Z * [new tag] viable/strict/1759555455 -> viable/strict/1759555455 2025-12-04T08:11:16.0423431Z * [new tag] viable/strict/1759559176 -> viable/strict/1759559176 2025-12-04T08:11:16.0424533Z * [new tag] viable/strict/1759560629 -> viable/strict/1759560629 2025-12-04T08:11:16.0425611Z * [new tag] viable/strict/1759569848 -> viable/strict/1759569848 2025-12-04T08:11:16.0426793Z * [new tag] viable/strict/1759571382 -> viable/strict/1759571382 2025-12-04T08:11:16.0427865Z * [new tag] viable/strict/1759573474 -> viable/strict/1759573474 2025-12-04T08:11:16.0428891Z * [new tag] viable/strict/1759618187 -> viable/strict/1759618187 2025-12-04T08:11:16.0430004Z * [new tag] viable/strict/1759626742 -> viable/strict/1759626742 2025-12-04T08:11:16.0431084Z * [new tag] viable/strict/1759632427 -> viable/strict/1759632427 2025-12-04T08:11:16.0432096Z * [new tag] viable/strict/1759634971 -> viable/strict/1759634971 2025-12-04T08:11:16.0433258Z * [new tag] viable/strict/1759661382 -> viable/strict/1759661382 2025-12-04T08:11:16.0434381Z * [new tag] viable/strict/1759663294 -> viable/strict/1759663294 2025-12-04T08:11:16.0435265Z * [new tag] viable/strict/1759708178 -> viable/strict/1759708178 2025-12-04T08:11:16.0436310Z * [new tag] viable/strict/1759715695 -> viable/strict/1759715695 2025-12-04T08:11:16.0437344Z * [new tag] viable/strict/1759728293 -> viable/strict/1759728293 2025-12-04T08:11:16.0438580Z * [new tag] viable/strict/1759735513 -> viable/strict/1759735513 2025-12-04T08:11:16.0439626Z * [new tag] viable/strict/1759739177 -> viable/strict/1759739177 2025-12-04T08:11:16.0440695Z * [new tag] viable/strict/1759758635 -> viable/strict/1759758635 2025-12-04T08:11:16.0441740Z * [new tag] viable/strict/1759765784 -> viable/strict/1759765784 2025-12-04T08:11:16.0442805Z * [new tag] viable/strict/1759767948 -> viable/strict/1759767948 2025-12-04T08:11:16.0443994Z * [new tag] viable/strict/1759771461 -> viable/strict/1759771461 2025-12-04T08:11:16.0444759Z * [new tag] viable/strict/1759776706 -> viable/strict/1759776706 2025-12-04T08:11:16.0445999Z * [new tag] viable/strict/1759782317 -> viable/strict/1759782317 2025-12-04T08:11:16.0447092Z * [new tag] viable/strict/1759783777 -> viable/strict/1759783777 2025-12-04T08:11:16.0448259Z * [new tag] viable/strict/1759785815 -> viable/strict/1759785815 2025-12-04T08:11:16.0449278Z * [new tag] viable/strict/1759789459 -> viable/strict/1759789459 2025-12-04T08:11:16.0450314Z * [new tag] viable/strict/1759790974 -> viable/strict/1759790974 2025-12-04T08:11:16.0451255Z * [new tag] viable/strict/1759794583 -> viable/strict/1759794583 2025-12-04T08:11:16.0452329Z * [new tag] viable/strict/1759797408 -> viable/strict/1759797408 2025-12-04T08:11:16.0453427Z * [new tag] viable/strict/1759799518 -> viable/strict/1759799518 2025-12-04T08:11:16.0454498Z * [new tag] viable/strict/1759804909 -> viable/strict/1759804909 2025-12-04T08:11:16.0455533Z * [new tag] viable/strict/1759807643 -> viable/strict/1759807643 2025-12-04T08:11:16.0456646Z * [new tag] viable/strict/1759809089 -> viable/strict/1759809089 2025-12-04T08:11:16.0457728Z * [new tag] viable/strict/1759811145 -> viable/strict/1759811145 2025-12-04T08:11:16.0458770Z * [new tag] viable/strict/1759812581 -> viable/strict/1759812581 2025-12-04T08:11:16.0459823Z * [new tag] viable/strict/1759814683 -> viable/strict/1759814683 2025-12-04T08:11:16.0460881Z * [new tag] viable/strict/1759821889 -> viable/strict/1759821889 2025-12-04T08:11:16.0461958Z * [new tag] viable/strict/1759823376 -> viable/strict/1759823376 2025-12-04T08:11:16.0463046Z * [new tag] viable/strict/1759827107 -> viable/strict/1759827107 2025-12-04T08:11:16.0464079Z * [new tag] viable/strict/1759830577 -> viable/strict/1759830577 2025-12-04T08:11:16.0465187Z * [new tag] viable/strict/1759832720 -> viable/strict/1759832720 2025-12-04T08:11:16.0466231Z * [new tag] viable/strict/1759842063 -> viable/strict/1759842063 2025-12-04T08:11:16.0467245Z * [new tag] viable/strict/1759847121 -> viable/strict/1759847121 2025-12-04T08:11:16.0468626Z * [new tag] viable/strict/1759850721 -> viable/strict/1759850721 2025-12-04T08:11:16.0469611Z * [new tag] viable/strict/1759857870 -> viable/strict/1759857870 2025-12-04T08:11:16.0470747Z * [new tag] viable/strict/1759863143 -> viable/strict/1759863143 2025-12-04T08:11:16.0471788Z * [new tag] viable/strict/1759875874 -> viable/strict/1759875874 2025-12-04T08:11:16.0472823Z * [new tag] viable/strict/1759877385 -> viable/strict/1759877385 2025-12-04T08:11:16.0477006Z * [new tag] viable/strict/1759883801 -> viable/strict/1759883801 2025-12-04T08:11:16.0478130Z * [new tag] viable/strict/1759885922 -> viable/strict/1759885922 2025-12-04T08:11:16.0479662Z * [new tag] viable/strict/1759888488 -> viable/strict/1759888488 2025-12-04T08:11:16.0480685Z * [new tag] viable/strict/1759895471 -> viable/strict/1759895471 2025-12-04T08:11:16.0481764Z * [new tag] viable/strict/1759904803 -> viable/strict/1759904803 2025-12-04T08:11:16.0483038Z * [new tag] viable/strict/1759908300 -> viable/strict/1759908300 2025-12-04T08:11:16.0484249Z * [new tag] viable/strict/1759915520 -> viable/strict/1759915520 2025-12-04T08:11:16.0485347Z * [new tag] viable/strict/1759916978 -> viable/strict/1759916978 2025-12-04T08:11:16.0486329Z * [new tag] viable/strict/1759930024 -> viable/strict/1759930024 2025-12-04T08:11:16.0487331Z * [new tag] viable/strict/1759948122 -> viable/strict/1759948122 2025-12-04T08:11:16.0488400Z * [new tag] viable/strict/1759952983 -> viable/strict/1759952983 2025-12-04T08:11:16.0489597Z * [new tag] viable/strict/1759955121 -> viable/strict/1759955121 2025-12-04T08:11:16.0490622Z * [new tag] viable/strict/1759962298 -> viable/strict/1759962298 2025-12-04T08:11:16.0491706Z * [new tag] viable/strict/1759965837 -> viable/strict/1759965837 2025-12-04T08:11:16.0492797Z * [new tag] viable/strict/1759970213 -> viable/strict/1759970213 2025-12-04T08:11:16.0493788Z * [new tag] viable/strict/1759974894 -> viable/strict/1759974894 2025-12-04T08:11:16.0494864Z * [new tag] viable/strict/1759977763 -> viable/strict/1759977763 2025-12-04T08:11:16.0495966Z * [new tag] viable/strict/1759979241 -> viable/strict/1759979241 2025-12-04T08:11:16.0497041Z * [new tag] viable/strict/1759985417 -> viable/strict/1759985417 2025-12-04T08:11:16.0498087Z * [new tag] viable/strict/1759987490 -> viable/strict/1759987490 2025-12-04T08:11:16.0499195Z * [new tag] viable/strict/1759996180 -> viable/strict/1759996180 2025-12-04T08:11:16.0500306Z * [new tag] viable/strict/1760065682 -> viable/strict/1760065682 2025-12-04T08:11:16.0501445Z * [new tag] viable/strict/1760066894 -> viable/strict/1760066894 2025-12-04T08:11:16.0502501Z * [new tag] viable/strict/1760070345 -> viable/strict/1760070345 2025-12-04T08:11:16.0503539Z * [new tag] viable/strict/1760089782 -> viable/strict/1760089782 2025-12-04T08:11:16.0504576Z * [new tag] viable/strict/1760091921 -> viable/strict/1760091921 2025-12-04T08:11:16.0505747Z * [new tag] viable/strict/1760127924 -> viable/strict/1760127924 2025-12-04T08:11:16.0506796Z * [new tag] viable/strict/1760129489 -> viable/strict/1760129489 2025-12-04T08:11:16.0507951Z * [new tag] viable/strict/1760132980 -> viable/strict/1760132980 2025-12-04T08:11:16.0509043Z * [new tag] viable/strict/1760135060 -> viable/strict/1760135060 2025-12-04T08:11:16.0510236Z * [new tag] viable/strict/1760215782 -> viable/strict/1760215782 2025-12-04T08:11:16.0511308Z * [new tag] viable/strict/1760273849 -> viable/strict/1760273849 2025-12-04T08:11:16.0512379Z * [new tag] viable/strict/1760275517 -> viable/strict/1760275517 2025-12-04T08:11:16.0513430Z * [new tag] viable/strict/1760276979 -> viable/strict/1760276979 2025-12-04T08:11:16.0514545Z * [new tag] viable/strict/1760279007 -> viable/strict/1760279007 2025-12-04T08:11:16.0515468Z * [new tag] viable/strict/1760286328 -> viable/strict/1760286328 2025-12-04T08:11:16.0516266Z * [new tag] viable/strict/1760493304 -> viable/strict/1760493304 2025-12-04T08:11:16.0517360Z * [new tag] viable/strict/1760496298 -> viable/strict/1760496298 2025-12-04T08:11:16.0518650Z * [new tag] viable/strict/1760518396 -> viable/strict/1760518396 2025-12-04T08:11:16.0519689Z * [new tag] viable/strict/1760534864 -> viable/strict/1760534864 2025-12-04T08:11:16.0520762Z * [new tag] viable/strict/1760549062 -> viable/strict/1760549062 2025-12-04T08:11:16.0521885Z * [new tag] viable/strict/1760552799 -> viable/strict/1760552799 2025-12-04T08:11:16.0523010Z * [new tag] viable/strict/1760554355 -> viable/strict/1760554355 2025-12-04T08:11:16.0524158Z * [new tag] viable/strict/1760556275 -> viable/strict/1760556275 2025-12-04T08:11:16.0525212Z * [new tag] viable/strict/1760564979 -> viable/strict/1760564979 2025-12-04T08:11:16.0526305Z * [new tag] viable/strict/1760567049 -> viable/strict/1760567049 2025-12-04T08:11:16.0527778Z * [new tag] viable/strict/1760568585 -> viable/strict/1760568585 2025-12-04T08:11:16.0528817Z * [new tag] viable/strict/1760570630 -> viable/strict/1760570630 2025-12-04T08:11:16.0529870Z * [new tag] viable/strict/1760572180 -> viable/strict/1760572180 2025-12-04T08:11:16.0530954Z * [new tag] viable/strict/1760575094 -> viable/strict/1760575094 2025-12-04T08:11:16.0532099Z * [new tag] viable/strict/1760579709 -> viable/strict/1760579709 2025-12-04T08:11:16.0533608Z * [new tag] viable/strict/1760582614 -> viable/strict/1760582614 2025-12-04T08:11:16.0534717Z * [new tag] viable/strict/1760586815 -> viable/strict/1760586815 2025-12-04T08:11:16.0535601Z * [new tag] viable/strict/1760588829 -> viable/strict/1760588829 2025-12-04T08:11:16.0536690Z * [new tag] viable/strict/1760590200 -> viable/strict/1760590200 2025-12-04T08:11:16.0537838Z * [new tag] viable/strict/1760592311 -> viable/strict/1760592311 2025-12-04T08:11:16.0538909Z * [new tag] viable/strict/1760619733 -> viable/strict/1760619733 2025-12-04T08:11:16.0539840Z * [new tag] viable/strict/1760628335 -> viable/strict/1760628335 2025-12-04T08:11:16.0540888Z * [new tag] viable/strict/1760635490 -> viable/strict/1760635490 2025-12-04T08:11:16.0541947Z * [new tag] viable/strict/1760640743 -> viable/strict/1760640743 2025-12-04T08:11:16.0542972Z * [new tag] viable/strict/1760642528 -> viable/strict/1760642528 2025-12-04T08:11:16.0544013Z * [new tag] viable/strict/1760646330 -> viable/strict/1760646330 2025-12-04T08:11:16.0545021Z * [new tag] viable/strict/1760666101 -> viable/strict/1760666101 2025-12-04T08:11:16.0546103Z * [new tag] viable/strict/1760668990 -> viable/strict/1760668990 2025-12-04T08:11:16.0547188Z * [new tag] viable/strict/1760670600 -> viable/strict/1760670600 2025-12-04T08:11:16.0548240Z * [new tag] viable/strict/1760671704 -> viable/strict/1760671704 2025-12-04T08:11:16.0549710Z * [new tag] viable/strict/1760673121 -> viable/strict/1760673121 2025-12-04T08:11:16.0550738Z * [new tag] viable/strict/1760675352 -> viable/strict/1760675352 2025-12-04T08:11:16.0551849Z * [new tag] viable/strict/1760696731 -> viable/strict/1760696731 2025-12-04T08:11:16.0554300Z * [new tag] viable/strict/1760723515 -> viable/strict/1760723515 2025-12-04T08:11:16.0555489Z * [new tag] viable/strict/1760727234 -> viable/strict/1760727234 2025-12-04T08:11:16.0556604Z * [new tag] viable/strict/1760730578 -> viable/strict/1760730578 2025-12-04T08:11:16.0557725Z * [new tag] viable/strict/1760732726 -> viable/strict/1760732726 2025-12-04T08:11:16.0558954Z * [new tag] viable/strict/1760734180 -> viable/strict/1760734180 2025-12-04T08:11:16.0560002Z * [new tag] viable/strict/1760736251 -> viable/strict/1760736251 2025-12-04T08:11:16.0561180Z * [new tag] viable/strict/1760737772 -> viable/strict/1760737772 2025-12-04T08:11:16.0562262Z * [new tag] viable/strict/1760758005 -> viable/strict/1760758005 2025-12-04T08:11:16.0563316Z * [new tag] viable/strict/1760761532 -> viable/strict/1760761532 2025-12-04T08:11:16.0564410Z * [new tag] viable/strict/1760802581 -> viable/strict/1760802581 2025-12-04T08:11:16.0565501Z * [new tag] viable/strict/1760827772 -> viable/strict/1760827772 2025-12-04T08:11:16.0566496Z * [new tag] viable/strict/1760834524 -> viable/strict/1760834524 2025-12-04T08:11:16.0567660Z * [new tag] viable/strict/1760845009 -> viable/strict/1760845009 2025-12-04T08:11:16.0568755Z * [new tag] viable/strict/1760876836 -> viable/strict/1760876836 2025-12-04T08:11:16.0569818Z * [new tag] viable/strict/1760880329 -> viable/strict/1760880329 2025-12-04T08:11:16.0570862Z * [new tag] viable/strict/1760888987 -> viable/strict/1760888987 2025-12-04T08:11:16.0571951Z * [new tag] viable/strict/1760912664 -> viable/strict/1760912664 2025-12-04T08:11:16.0572974Z * [new tag] viable/strict/1760925321 -> viable/strict/1760925321 2025-12-04T08:11:16.0574168Z * [new tag] viable/strict/1760931488 -> viable/strict/1760931488 2025-12-04T08:11:16.0575196Z * [new tag] viable/strict/1760932693 -> viable/strict/1760932693 2025-12-04T08:11:16.0576315Z * [new tag] viable/strict/1761004184 -> viable/strict/1761004184 2025-12-04T08:11:16.0577331Z * [new tag] viable/strict/1761014748 -> viable/strict/1761014748 2025-12-04T08:11:16.0578411Z * [new tag] viable/strict/1761017491 -> viable/strict/1761017491 2025-12-04T08:11:16.0579527Z * [new tag] viable/strict/1761018806 -> viable/strict/1761018806 2025-12-04T08:11:16.0580660Z * [new tag] viable/strict/1761020754 -> viable/strict/1761020754 2025-12-04T08:11:16.0581748Z * [new tag] viable/strict/1761024303 -> viable/strict/1761024303 2025-12-04T08:11:16.0582784Z * [new tag] viable/strict/1761029582 -> viable/strict/1761029582 2025-12-04T08:11:16.0583834Z * [new tag] viable/strict/1761031535 -> viable/strict/1761031535 2025-12-04T08:11:16.0584899Z * [new tag] viable/strict/1761035196 -> viable/strict/1761035196 2025-12-04T08:11:16.0586044Z * [new tag] viable/strict/1761045825 -> viable/strict/1761045825 2025-12-04T08:11:16.0587167Z * [new tag] viable/strict/1761054796 -> viable/strict/1761054796 2025-12-04T08:11:16.0588216Z * [new tag] viable/strict/1761060314 -> viable/strict/1761060314 2025-12-04T08:11:16.0589318Z * [new tag] viable/strict/1761071198 -> viable/strict/1761071198 2025-12-04T08:11:16.0590556Z * [new tag] viable/strict/1761074628 -> viable/strict/1761074628 2025-12-04T08:11:16.0591657Z * [new tag] viable/strict/1761078351 -> viable/strict/1761078351 2025-12-04T08:11:16.0592756Z * [new tag] viable/strict/1761079822 -> viable/strict/1761079822 2025-12-04T08:11:16.0593767Z * [new tag] viable/strict/1761081873 -> viable/strict/1761081873 2025-12-04T08:11:16.0594906Z * [new tag] viable/strict/1761083392 -> viable/strict/1761083392 2025-12-04T08:11:16.0595937Z * [new tag] viable/strict/1761085465 -> viable/strict/1761085465 2025-12-04T08:11:16.0597066Z * [new tag] viable/strict/1761089099 -> viable/strict/1761089099 2025-12-04T08:11:16.0598146Z * [new tag] viable/strict/1761095535 -> viable/strict/1761095535 2025-12-04T08:11:16.0599234Z * [new tag] viable/strict/1761098119 -> viable/strict/1761098119 2025-12-04T08:11:16.0600769Z * [new tag] viable/strict/1761101330 -> viable/strict/1761101330 2025-12-04T08:11:16.0601836Z * [new tag] viable/strict/1761114425 -> viable/strict/1761114425 2025-12-04T08:11:16.0602955Z * [new tag] viable/strict/1761116036 -> viable/strict/1761116036 2025-12-04T08:11:16.0604001Z * [new tag] viable/strict/1761119379 -> viable/strict/1761119379 2025-12-04T08:11:16.0605170Z * [new tag] viable/strict/1761121601 -> viable/strict/1761121601 2025-12-04T08:11:16.0606099Z * [new tag] viable/strict/1761123234 -> viable/strict/1761123234 2025-12-04T08:11:16.0607109Z * [new tag] viable/strict/1761126621 -> viable/strict/1761126621 2025-12-04T08:11:16.0608167Z * [new tag] viable/strict/1761132259 -> viable/strict/1761132259 2025-12-04T08:11:16.0609289Z * [new tag] viable/strict/1761146746 -> viable/strict/1761146746 2025-12-04T08:11:16.0610385Z * [new tag] viable/strict/1761164752 -> viable/strict/1761164752 2025-12-04T08:11:16.0611468Z * [new tag] viable/strict/1761166198 -> viable/strict/1761166198 2025-12-04T08:11:16.0612554Z * [new tag] viable/strict/1761175424 -> viable/strict/1761175424 2025-12-04T08:11:16.0613628Z * [new tag] viable/strict/1761176983 -> viable/strict/1761176983 2025-12-04T08:11:16.0614858Z * [new tag] viable/strict/1761179891 -> viable/strict/1761179891 2025-12-04T08:11:16.0615911Z * [new tag] viable/strict/1761181930 -> viable/strict/1761181930 2025-12-04T08:11:16.0616934Z * [new tag] viable/strict/1761184516 -> viable/strict/1761184516 2025-12-04T08:11:16.0618074Z * [new tag] viable/strict/1761190179 -> viable/strict/1761190179 2025-12-04T08:11:16.0619153Z * [new tag] viable/strict/1761193558 -> viable/strict/1761193558 2025-12-04T08:11:16.0620205Z * [new tag] viable/strict/1761207990 -> viable/strict/1761207990 2025-12-04T08:11:16.0621644Z * [new tag] viable/strict/1761229539 -> viable/strict/1761229539 2025-12-04T08:11:16.0623000Z * [new tag] viable/strict/1761244031 -> viable/strict/1761244031 2025-12-04T08:11:16.0624075Z * [new tag] viable/strict/1761248986 -> viable/strict/1761248986 2025-12-04T08:11:16.0625133Z * [new tag] viable/strict/1761259791 -> viable/strict/1761259791 2025-12-04T08:11:16.0626283Z * [new tag] viable/strict/1761266139 -> viable/strict/1761266139 2025-12-04T08:11:16.0627432Z * [new tag] viable/strict/1761268316 -> viable/strict/1761268316 2025-12-04T08:11:16.0628471Z * [new tag] viable/strict/1761273805 -> viable/strict/1761273805 2025-12-04T08:11:16.0629545Z * [new tag] viable/strict/1761275261 -> viable/strict/1761275261 2025-12-04T08:11:16.0630608Z * [new tag] viable/strict/1761277913 -> viable/strict/1761277913 2025-12-04T08:11:16.0631754Z * [new tag] viable/strict/1761290701 -> viable/strict/1761290701 2025-12-04T08:11:16.0632896Z * [new tag] viable/strict/1761294396 -> viable/strict/1761294396 2025-12-04T08:11:16.0633941Z * [new tag] viable/strict/1761303047 -> viable/strict/1761303047 2025-12-04T08:11:16.0635009Z * [new tag] viable/strict/1761335388 -> viable/strict/1761335388 2025-12-04T08:11:16.0636081Z * [new tag] viable/strict/1761337551 -> viable/strict/1761337551 2025-12-04T08:11:16.0637165Z * [new tag] viable/strict/1761339007 -> viable/strict/1761339007 2025-12-04T08:11:16.0638273Z * [new tag] viable/strict/1761341050 -> viable/strict/1761341050 2025-12-04T08:11:16.0639383Z * [new tag] viable/strict/1761346188 -> viable/strict/1761346188 2025-12-04T08:11:16.0640540Z * [new tag] viable/strict/1761349792 -> viable/strict/1761349792 2025-12-04T08:11:16.0641640Z * [new tag] viable/strict/1761352620 -> viable/strict/1761352620 2025-12-04T08:11:16.0642638Z * [new tag] viable/strict/1761354730 -> viable/strict/1761354730 2025-12-04T08:11:16.0643736Z * [new tag] viable/strict/1761357298 -> viable/strict/1761357298 2025-12-04T08:11:16.0644962Z * [new tag] viable/strict/1761360201 -> viable/strict/1761360201 2025-12-04T08:11:16.0646001Z * [new tag] viable/strict/1761361753 -> viable/strict/1761361753 2025-12-04T08:11:16.0647058Z * [new tag] viable/strict/1761364351 -> viable/strict/1761364351 2025-12-04T08:11:16.0648099Z * [new tag] viable/strict/1761366338 -> viable/strict/1761366338 2025-12-04T08:11:16.0649297Z * [new tag] viable/strict/1761367802 -> viable/strict/1761367802 2025-12-04T08:11:16.0650438Z * [new tag] viable/strict/1761369889 -> viable/strict/1761369889 2025-12-04T08:11:16.0651504Z * [new tag] viable/strict/1761371385 -> viable/strict/1761371385 2025-12-04T08:11:16.0652618Z * [new tag] viable/strict/1761373581 -> viable/strict/1761373581 2025-12-04T08:11:16.0653770Z * [new tag] viable/strict/1761375054 -> viable/strict/1761375054 2025-12-04T08:11:16.0654937Z * [new tag] viable/strict/1761421785 -> viable/strict/1761421785 2025-12-04T08:11:16.0656050Z * [new tag] viable/strict/1761434614 -> viable/strict/1761434614 2025-12-04T08:11:16.0657426Z * [new tag] viable/strict/1761439254 -> viable/strict/1761439254 2025-12-04T08:11:16.0658528Z * [new tag] viable/strict/1761454187 -> viable/strict/1761454187 2025-12-04T08:11:16.0659645Z * [new tag] viable/strict/1761459991 -> viable/strict/1761459991 2025-12-04T08:11:16.0660896Z * [new tag] viable/strict/1761470668 -> viable/strict/1761470668 2025-12-04T08:11:16.0662457Z * [new tag] viable/strict/1761472188 -> viable/strict/1761472188 2025-12-04T08:11:16.0663569Z * [new tag] viable/strict/1761503178 -> viable/strict/1761503178 2025-12-04T08:11:16.0664732Z * [new tag] viable/strict/1761517492 -> viable/strict/1761517492 2025-12-04T08:11:16.0665854Z * [new tag] viable/strict/1761518981 -> viable/strict/1761518981 2025-12-04T08:11:16.0667015Z * [new tag] viable/strict/1761533609 -> viable/strict/1761533609 2025-12-04T08:11:16.0667962Z * [new tag] viable/strict/1761546438 -> viable/strict/1761546438 2025-12-04T08:11:16.0669178Z * [new tag] viable/strict/1761548133 -> viable/strict/1761548133 2025-12-04T08:11:16.0670523Z * [new tag] viable/strict/1761555186 -> viable/strict/1761555186 2025-12-04T08:11:16.0671665Z * [new tag] viable/strict/1761557178 -> viable/strict/1761557178 2025-12-04T08:11:16.0672860Z * [new tag] viable/strict/1761560772 -> viable/strict/1761560772 2025-12-04T08:11:16.0673992Z * [new tag] viable/strict/1761562266 -> viable/strict/1761562266 2025-12-04T08:11:16.0675155Z * [new tag] viable/strict/1761564260 -> viable/strict/1761564260 2025-12-04T08:11:16.0676230Z * [new tag] viable/strict/1761568072 -> viable/strict/1761568072 2025-12-04T08:11:16.0677353Z * [new tag] viable/strict/1761571683 -> viable/strict/1761571683 2025-12-04T08:11:16.0678325Z * [new tag] viable/strict/1761580199 -> viable/strict/1761580199 2025-12-04T08:11:16.0679448Z * [new tag] viable/strict/1761587383 -> viable/strict/1761587383 2025-12-04T08:11:16.0680610Z * [new tag] viable/strict/1761591165 -> viable/strict/1761591165 2025-12-04T08:11:16.0681693Z * [new tag] viable/strict/1761594575 -> viable/strict/1761594575 2025-12-04T08:11:16.0682782Z * [new tag] viable/strict/1761596710 -> viable/strict/1761596710 2025-12-04T08:11:16.0683886Z * [new tag] viable/strict/1761598189 -> viable/strict/1761598189 2025-12-04T08:11:16.0684976Z * [new tag] viable/strict/1761600254 -> viable/strict/1761600254 2025-12-04T08:11:16.0686113Z * [new tag] viable/strict/1761603879 -> viable/strict/1761603879 2025-12-04T08:11:16.0687130Z * [new tag] viable/strict/1761605429 -> viable/strict/1761605429 2025-12-04T08:11:16.0688337Z * [new tag] viable/strict/1761607468 -> viable/strict/1761607468 2025-12-04T08:11:16.0689392Z * [new tag] viable/strict/1761608983 -> viable/strict/1761608983 2025-12-04T08:11:16.0690513Z * [new tag] viable/strict/1761611846 -> viable/strict/1761611846 2025-12-04T08:11:16.0691639Z * [new tag] viable/strict/1761613922 -> viable/strict/1761613922 2025-12-04T08:11:16.0692591Z * [new tag] viable/strict/1761616504 -> viable/strict/1761616504 2025-12-04T08:11:16.0693975Z * [new tag] viable/strict/1761619599 -> viable/strict/1761619599 2025-12-04T08:11:16.0695077Z * [new tag] viable/strict/1761686693 -> viable/strict/1761686693 2025-12-04T08:11:16.0696159Z * [new tag] viable/strict/1761688179 -> viable/strict/1761688179 2025-12-04T08:11:16.0697212Z * [new tag] viable/strict/1761691973 -> viable/strict/1761691973 2025-12-04T08:11:16.0698560Z * [new tag] viable/strict/1761693884 -> viable/strict/1761693884 2025-12-04T08:11:16.0699670Z * [new tag] viable/strict/1761695389 -> viable/strict/1761695389 2025-12-04T08:11:16.0700711Z * [new tag] viable/strict/1761698408 -> viable/strict/1761698408 2025-12-04T08:11:16.0701765Z * [new tag] viable/strict/1761702931 -> viable/strict/1761702931 2025-12-04T08:11:16.0702889Z * [new tag] viable/strict/1761706307 -> viable/strict/1761706307 2025-12-04T08:11:16.0704011Z * [new tag] viable/strict/1761709065 -> viable/strict/1761709065 2025-12-04T08:11:16.0705167Z * [new tag] viable/strict/1761710285 -> viable/strict/1761710285 2025-12-04T08:11:16.0706344Z * [new tag] viable/strict/1761711983 -> viable/strict/1761711983 2025-12-04T08:11:16.0707451Z * [new tag] viable/strict/1761713514 -> viable/strict/1761713514 2025-12-04T08:11:16.0708685Z * [new tag] viable/strict/1761715523 -> viable/strict/1761715523 2025-12-04T08:11:16.0709805Z * [new tag] viable/strict/1761727973 -> viable/strict/1761727973 2025-12-04T08:11:16.0710937Z * [new tag] viable/strict/1761751558 -> viable/strict/1761751558 2025-12-04T08:11:16.0712065Z * [new tag] viable/strict/1761755187 -> viable/strict/1761755187 2025-12-04T08:11:16.0713248Z * [new tag] viable/strict/1761756826 -> viable/strict/1761756826 2025-12-04T08:11:16.0714391Z * [new tag] viable/strict/1761769551 -> viable/strict/1761769551 2025-12-04T08:11:16.0715586Z * [new tag] viable/strict/1761771032 -> viable/strict/1761771032 2025-12-04T08:11:16.0716540Z * [new tag] viable/strict/1761773101 -> viable/strict/1761773101 2025-12-04T08:11:16.0717731Z * [new tag] viable/strict/1761781792 -> viable/strict/1761781792 2025-12-04T08:11:16.0718999Z * [new tag] viable/strict/1761784788 -> viable/strict/1761784788 2025-12-04T08:11:16.0720121Z * [new tag] viable/strict/1761786740 -> viable/strict/1761786740 2025-12-04T08:11:16.0721231Z * [new tag] viable/strict/1761789332 -> viable/strict/1761789332 2025-12-04T08:11:16.0722881Z * [new tag] viable/strict/1761792569 -> viable/strict/1761792569 2025-12-04T08:11:16.0723944Z * [new tag] viable/strict/1761795289 -> viable/strict/1761795289 2025-12-04T08:11:16.0725072Z * [new tag] viable/strict/1761798345 -> viable/strict/1761798345 2025-12-04T08:11:16.0726190Z * [new tag] viable/strict/1761799827 -> viable/strict/1761799827 2025-12-04T08:11:16.0727402Z * [new tag] viable/strict/1761805604 -> viable/strict/1761805604 2025-12-04T08:11:16.0728441Z * [new tag] viable/strict/1761807202 -> viable/strict/1761807202 2025-12-04T08:11:16.0729553Z * [new tag] viable/strict/1761809094 -> viable/strict/1761809094 2025-12-04T08:11:16.0730673Z * [new tag] viable/strict/1761810576 -> viable/strict/1761810576 2025-12-04T08:11:16.0731852Z * [new tag] viable/strict/1761812771 -> viable/strict/1761812771 2025-12-04T08:11:16.0732939Z * [new tag] viable/strict/1761814363 -> viable/strict/1761814363 2025-12-04T08:11:16.0734039Z * [new tag] viable/strict/1761857410 -> viable/strict/1761857410 2025-12-04T08:11:16.0735333Z * [new tag] viable/strict/1761860985 -> viable/strict/1761860985 2025-12-04T08:11:16.0736689Z * [new tag] viable/strict/1761863094 -> viable/strict/1761863094 2025-12-04T08:11:16.0737806Z * [new tag] viable/strict/1761864590 -> viable/strict/1761864590 2025-12-04T08:11:16.0738923Z * [new tag] viable/strict/1761866675 -> viable/strict/1761866675 2025-12-04T08:11:16.0740214Z * [new tag] viable/strict/1761868178 -> viable/strict/1761868178 2025-12-04T08:11:16.0741297Z * [new tag] viable/strict/1761871111 -> viable/strict/1761871111 2025-12-04T08:11:16.0742445Z * [new tag] viable/strict/1761873126 -> viable/strict/1761873126 2025-12-04T08:11:16.0743559Z * [new tag] viable/strict/1761875714 -> viable/strict/1761875714 2025-12-04T08:11:16.0744676Z * [new tag] viable/strict/1761878924 -> viable/strict/1761878924 2025-12-04T08:11:16.0745847Z * [new tag] viable/strict/1761881727 -> viable/strict/1761881727 2025-12-04T08:11:16.0746946Z * [new tag] viable/strict/1761882959 -> viable/strict/1761882959 2025-12-04T08:11:16.0748072Z * [new tag] viable/strict/1761886268 -> viable/strict/1761886268 2025-12-04T08:11:16.0749196Z * [new tag] viable/strict/1761893641 -> viable/strict/1761893641 2025-12-04T08:11:16.0750396Z * [new tag] viable/strict/1761931517 -> viable/strict/1761931517 2025-12-04T08:11:16.0751521Z * [new tag] viable/strict/1761933080 -> viable/strict/1761933080 2025-12-04T08:11:16.0752595Z * [new tag] viable/strict/1761935217 -> viable/strict/1761935217 2025-12-04T08:11:16.0753806Z * [new tag] viable/strict/1761938533 -> viable/strict/1761938533 2025-12-04T08:11:16.0754954Z * [new tag] viable/strict/1761940184 -> viable/strict/1761940184 2025-12-04T08:11:16.0756083Z * [new tag] viable/strict/1761942338 -> viable/strict/1761942338 2025-12-04T08:11:16.0757170Z * [new tag] viable/strict/1761946100 -> viable/strict/1761946100 2025-12-04T08:11:16.0758381Z * [new tag] viable/strict/1761947374 -> viable/strict/1761947374 2025-12-04T08:11:16.0759538Z * [new tag] viable/strict/1761950978 -> viable/strict/1761950978 2025-12-04T08:11:16.0760640Z * [new tag] viable/strict/1761957727 -> viable/strict/1761957727 2025-12-04T08:11:16.0761766Z * [new tag] viable/strict/1761959532 -> viable/strict/1761959532 2025-12-04T08:11:16.0762908Z * [new tag] viable/strict/1761965366 -> viable/strict/1761965366 2025-12-04T08:11:16.0764183Z * [new tag] viable/strict/1761968066 -> viable/strict/1761968066 2025-12-04T08:11:16.0765316Z * [new tag] viable/strict/1761969322 -> viable/strict/1761969322 2025-12-04T08:11:16.0766419Z * [new tag] viable/strict/1761974723 -> viable/strict/1761974723 2025-12-04T08:11:16.0768002Z * [new tag] viable/strict/1761981837 -> viable/strict/1761981837 2025-12-04T08:11:16.0770947Z * [new tag] viable/strict/1761985546 -> viable/strict/1761985546 2025-12-04T08:11:16.0771166Z * [new tag] viable/strict/1761987030 -> viable/strict/1761987030 2025-12-04T08:11:16.0771936Z * [new tag] viable/strict/1762003554 -> viable/strict/1762003554 2025-12-04T08:11:16.0772489Z * [new tag] viable/strict/1762021560 -> viable/strict/1762021560 2025-12-04T08:11:16.0773994Z * [new tag] viable/strict/1762032190 -> viable/strict/1762032190 2025-12-04T08:11:16.0775055Z * [new tag] viable/strict/1762040981 -> viable/strict/1762040981 2025-12-04T08:11:16.0776207Z * [new tag] viable/strict/1762048525 -> viable/strict/1762048525 2025-12-04T08:11:16.0777328Z * [new tag] viable/strict/1762104223 -> viable/strict/1762104223 2025-12-04T08:11:16.0778546Z * [new tag] viable/strict/1762105778 -> viable/strict/1762105778 2025-12-04T08:11:16.0779645Z * [new tag] viable/strict/1762115109 -> viable/strict/1762115109 2025-12-04T08:11:16.0780784Z * [new tag] viable/strict/1762125840 -> viable/strict/1762125840 2025-12-04T08:11:16.0781756Z * [new tag] viable/strict/1762127377 -> viable/strict/1762127377 2025-12-04T08:11:16.0783241Z * [new tag] viable/strict/1762134925 -> viable/strict/1762134925 2025-12-04T08:11:16.0784185Z * [new tag] viable/strict/1762138338 -> viable/strict/1762138338 2025-12-04T08:11:16.0785294Z * [new tag] viable/strict/1762148993 -> viable/strict/1762148993 2025-12-04T08:11:16.0786462Z * [new tag] viable/strict/1762152871 -> viable/strict/1762152871 2025-12-04T08:11:16.0787605Z * [new tag] viable/strict/1762156183 -> viable/strict/1762156183 2025-12-04T08:11:16.0788684Z * [new tag] viable/strict/1762163457 -> viable/strict/1762163457 2025-12-04T08:11:16.0789798Z * [new tag] viable/strict/1762165569 -> viable/strict/1762165569 2025-12-04T08:11:16.0790961Z * [new tag] viable/strict/1762169035 -> viable/strict/1762169035 2025-12-04T08:11:16.0792142Z * [new tag] viable/strict/1762174936 -> viable/strict/1762174936 2025-12-04T08:11:16.0793233Z * [new tag] viable/strict/1762194412 -> viable/strict/1762194412 2025-12-04T08:11:16.0794313Z * [new tag] viable/strict/1762195876 -> viable/strict/1762195876 2025-12-04T08:11:16.0795423Z * [new tag] viable/strict/1762197788 -> viable/strict/1762197788 2025-12-04T08:11:16.0796630Z * [new tag] viable/strict/1762199389 -> viable/strict/1762199389 2025-12-04T08:11:16.0798012Z * [new tag] viable/strict/1762206585 -> viable/strict/1762206585 2025-12-04T08:11:16.0799348Z * [new tag] viable/strict/1762210184 -> viable/strict/1762210184 2025-12-04T08:11:16.0800301Z * [new tag] viable/strict/1762218736 -> viable/strict/1762218736 2025-12-04T08:11:16.0801425Z * [new tag] viable/strict/1762224529 -> viable/strict/1762224529 2025-12-04T08:11:16.0802626Z * [new tag] viable/strict/1762227253 -> viable/strict/1762227253 2025-12-04T08:11:16.0803600Z * [new tag] viable/strict/1762228515 -> viable/strict/1762228515 2025-12-04T08:11:16.0804832Z * [new tag] viable/strict/1762230349 -> viable/strict/1762230349 2025-12-04T08:11:16.0806003Z * [new tag] viable/strict/1762231859 -> viable/strict/1762231859 2025-12-04T08:11:16.0807167Z * [new tag] viable/strict/1762233925 -> viable/strict/1762233925 2025-12-04T08:11:16.0808434Z * [new tag] viable/strict/1762237630 -> viable/strict/1762237630 2025-12-04T08:11:16.0809481Z * [new tag] viable/strict/1762253522 -> viable/strict/1762253522 2025-12-04T08:11:16.0810827Z * [new tag] viable/strict/1762278588 -> viable/strict/1762278588 2025-12-04T08:11:16.0811873Z * [new tag] viable/strict/1762284203 -> viable/strict/1762284203 2025-12-04T08:11:16.0812987Z * [new tag] viable/strict/1762289446 -> viable/strict/1762289446 2025-12-04T08:11:16.0814133Z * [new tag] viable/strict/1762291515 -> viable/strict/1762291515 2025-12-04T08:11:16.0815262Z * [new tag] viable/strict/1762295100 -> viable/strict/1762295100 2025-12-04T08:11:16.0816238Z * [new tag] viable/strict/1762296590 -> viable/strict/1762296590 2025-12-04T08:11:16.0817205Z * [new tag] viable/strict/1762300179 -> viable/strict/1762300179 2025-12-04T08:11:16.0818164Z * [new tag] viable/strict/1762303207 -> viable/strict/1762303207 2025-12-04T08:11:16.0819461Z * [new tag] viable/strict/1762386584 -> viable/strict/1762386584 2025-12-04T08:11:16.0820596Z * [new tag] viable/strict/1762391537 -> viable/strict/1762391537 2025-12-04T08:11:16.0821582Z * [new tag] viable/strict/1762394119 -> viable/strict/1762394119 2025-12-04T08:11:16.0823023Z * [new tag] viable/strict/1762397437 -> viable/strict/1762397437 2025-12-04T08:11:16.0824155Z * [new tag] viable/strict/1762400256 -> viable/strict/1762400256 2025-12-04T08:11:16.0825270Z * [new tag] viable/strict/1762401469 -> viable/strict/1762401469 2025-12-04T08:11:16.0826487Z * [new tag] viable/strict/1762408195 -> viable/strict/1762408195 2025-12-04T08:11:16.0827657Z * [new tag] viable/strict/1762410411 -> viable/strict/1762410411 2025-12-04T08:11:16.0828772Z * [new tag] viable/strict/1762417613 -> viable/strict/1762417613 2025-12-04T08:11:16.0829899Z * [new tag] viable/strict/1762419198 -> viable/strict/1762419198 2025-12-04T08:11:16.0831024Z * [new tag] viable/strict/1762422656 -> viable/strict/1762422656 2025-12-04T08:11:16.0832535Z * [new tag] viable/strict/1762424746 -> viable/strict/1762424746 2025-12-04T08:11:16.0833782Z * [new tag] viable/strict/1762446386 -> viable/strict/1762446386 2025-12-04T08:11:16.0834936Z * [new tag] viable/strict/1762449912 -> viable/strict/1762449912 2025-12-04T08:11:16.0836131Z * [new tag] viable/strict/1762457031 -> viable/strict/1762457031 2025-12-04T08:11:16.0837277Z * [new tag] viable/strict/1762462441 -> viable/strict/1762462441 2025-12-04T08:11:16.0838497Z * [new tag] viable/strict/1762467909 -> viable/strict/1762467909 2025-12-04T08:11:16.0839736Z * [new tag] viable/strict/1762471493 -> viable/strict/1762471493 2025-12-04T08:11:16.0840877Z * [new tag] viable/strict/1762475990 -> viable/strict/1762475990 2025-12-04T08:11:16.0842535Z * [new tag] viable/strict/1762477933 -> viable/strict/1762477933 2025-12-04T08:11:16.0843659Z * [new tag] viable/strict/1762491053 -> viable/strict/1762491053 2025-12-04T08:11:16.0844832Z * [new tag] viable/strict/1762493118 -> viable/strict/1762493118 2025-12-04T08:11:16.0845936Z * [new tag] viable/strict/1762498442 -> viable/strict/1762498442 2025-12-04T08:11:16.0847206Z * [new tag] viable/strict/1762501778 -> viable/strict/1762501778 2025-12-04T08:11:16.0848323Z * [new tag] viable/strict/1762504001 -> viable/strict/1762504001 2025-12-04T08:11:16.0849611Z * [new tag] viable/strict/1762505583 -> viable/strict/1762505583 2025-12-04T08:11:16.0850815Z * [new tag] viable/strict/1762507523 -> viable/strict/1762507523 2025-12-04T08:11:16.0852018Z * [new tag] viable/strict/1762511140 -> viable/strict/1762511140 2025-12-04T08:11:16.0853346Z * [new tag] viable/strict/1762512632 -> viable/strict/1762512632 2025-12-04T08:11:16.0854438Z * [new tag] viable/strict/1762520467 -> viable/strict/1762520467 2025-12-04T08:11:16.0855581Z * [new tag] viable/strict/1762522016 -> viable/strict/1762522016 2025-12-04T08:11:16.0856721Z * [new tag] viable/strict/1762530591 -> viable/strict/1762530591 2025-12-04T08:11:16.0857856Z * [new tag] viable/strict/1762543405 -> viable/strict/1762543405 2025-12-04T08:11:16.0858833Z * [new tag] viable/strict/1762544998 -> viable/strict/1762544998 2025-12-04T08:11:16.0859926Z * [new tag] viable/strict/1762552182 -> viable/strict/1762552182 2025-12-04T08:11:16.0861105Z * [new tag] viable/strict/1762554297 -> viable/strict/1762554297 2025-12-04T08:11:16.0862057Z * [new tag] viable/strict/1762559381 -> viable/strict/1762559381 2025-12-04T08:11:16.0863293Z * [new tag] viable/strict/1762562222 -> viable/strict/1762562222 2025-12-04T08:11:16.0864450Z * [new tag] viable/strict/1762564319 -> viable/strict/1762564319 2025-12-04T08:11:16.0865426Z * [new tag] viable/strict/1762566904 -> viable/strict/1762566904 2025-12-04T08:11:16.0866568Z * [new tag] viable/strict/1762569781 -> viable/strict/1762569781 2025-12-04T08:11:16.0867659Z * [new tag] viable/strict/1762575940 -> viable/strict/1762575940 2025-12-04T08:11:16.0868868Z * [new tag] viable/strict/1762580974 -> viable/strict/1762580974 2025-12-04T08:11:16.0869995Z * [new tag] viable/strict/1762583185 -> viable/strict/1762583185 2025-12-04T08:11:16.0871101Z * [new tag] viable/strict/1762586647 -> viable/strict/1762586647 2025-12-04T08:11:16.0872220Z * [new tag] viable/strict/1762588183 -> viable/strict/1762588183 2025-12-04T08:11:16.0873589Z * [new tag] viable/strict/1762593886 -> viable/strict/1762593886 2025-12-04T08:11:16.0874727Z * [new tag] viable/strict/1762650743 -> viable/strict/1762650743 2025-12-04T08:11:16.0875942Z * [new tag] viable/strict/1762653328 -> viable/strict/1762653328 2025-12-04T08:11:16.0877073Z * [new tag] viable/strict/1762659342 -> viable/strict/1762659342 2025-12-04T08:11:16.0878296Z * [new tag] viable/strict/1762662360 -> viable/strict/1762662360 2025-12-04T08:11:16.0879532Z * [new tag] viable/strict/1762667377 -> viable/strict/1762667377 2025-12-04T08:11:16.0880633Z * [new tag] viable/strict/1762671090 -> viable/strict/1762671090 2025-12-04T08:11:16.0881744Z * [new tag] viable/strict/1762680284 -> viable/strict/1762680284 2025-12-04T08:11:16.0882898Z * [new tag] viable/strict/1762683900 -> viable/strict/1762683900 2025-12-04T08:11:16.0884142Z * [new tag] viable/strict/1762705541 -> viable/strict/1762705541 2025-12-04T08:11:16.0885230Z * [new tag] viable/strict/1762709004 -> viable/strict/1762709004 2025-12-04T08:11:16.0886412Z * [new tag] viable/strict/1762746004 -> viable/strict/1762746004 2025-12-04T08:11:16.0887707Z * [new tag] viable/strict/1762748799 -> viable/strict/1762748799 2025-12-04T08:11:16.0888859Z * [new tag] viable/strict/1762759504 -> viable/strict/1762759504 2025-12-04T08:11:16.0890116Z * [new tag] viable/strict/1762760973 -> viable/strict/1762760973 2025-12-04T08:11:16.0891252Z * [new tag] viable/strict/1762775374 -> viable/strict/1762775374 2025-12-04T08:11:16.0892422Z * [new tag] viable/strict/1762777661 -> viable/strict/1762777661 2025-12-04T08:11:16.0893535Z * [new tag] viable/strict/1762779774 -> viable/strict/1762779774 2025-12-04T08:11:16.0894913Z * [new tag] viable/strict/1762781259 -> viable/strict/1762781259 2025-12-04T08:11:16.0895997Z * [new tag] viable/strict/1762793628 -> viable/strict/1762793628 2025-12-04T08:11:16.0897250Z * [new tag] viable/strict/1762800711 -> viable/strict/1762800711 2025-12-04T08:11:16.0898395Z * [new tag] viable/strict/1762809894 -> viable/strict/1762809894 2025-12-04T08:11:16.0899521Z * [new tag] viable/strict/1762811384 -> viable/strict/1762811384 2025-12-04T08:11:16.0900758Z * [new tag] viable/strict/1762813841 -> viable/strict/1762813841 2025-12-04T08:11:16.0901913Z * [new tag] viable/strict/1762815047 -> viable/strict/1762815047 2025-12-04T08:11:16.0903248Z * [new tag] viable/strict/1762817094 -> viable/strict/1762817094 2025-12-04T08:11:16.0904367Z * [new tag] viable/strict/1762818582 -> viable/strict/1762818582 2025-12-04T08:11:16.0905560Z * [new tag] viable/strict/1762821623 -> viable/strict/1762821623 2025-12-04T08:11:16.0906529Z * [new tag] viable/strict/1762823531 -> viable/strict/1762823531 2025-12-04T08:11:16.0907732Z * [new tag] viable/strict/1762849583 -> viable/strict/1762849583 2025-12-04T08:11:16.0908917Z * [new tag] viable/strict/1762851200 -> viable/strict/1762851200 2025-12-04T08:11:16.0910025Z * [new tag] viable/strict/1762854603 -> viable/strict/1762854603 2025-12-04T08:11:16.0911290Z * [new tag] viable/strict/1762858276 -> viable/strict/1762858276 2025-12-04T08:11:16.0912475Z * [new tag] viable/strict/1762860891 -> viable/strict/1762860891 2025-12-04T08:11:16.0914169Z * [new tag] viable/strict/1762866174 -> viable/strict/1762866174 2025-12-04T08:11:16.0915264Z * [new tag] viable/strict/1762867653 -> viable/strict/1762867653 2025-12-04T08:11:16.0916457Z * [new tag] viable/strict/1762872669 -> viable/strict/1762872669 2025-12-04T08:11:16.0917764Z * [new tag] viable/strict/1762878380 -> viable/strict/1762878380 2025-12-04T08:11:16.0919056Z * [new tag] viable/strict/1762889003 -> viable/strict/1762889003 2025-12-04T08:11:16.0920248Z * [new tag] viable/strict/1762890589 -> viable/strict/1762890589 2025-12-04T08:11:16.0921445Z * [new tag] viable/strict/1762892743 -> viable/strict/1762892743 2025-12-04T08:11:16.0922675Z * [new tag] viable/strict/1762894271 -> viable/strict/1762894271 2025-12-04T08:11:16.0923671Z * [new tag] viable/strict/1762896287 -> viable/strict/1762896287 2025-12-04T08:11:16.0924808Z * [new tag] viable/strict/1762915871 -> viable/strict/1762915871 2025-12-04T08:11:16.0926053Z * [new tag] viable/strict/1762918569 -> viable/strict/1762918569 2025-12-04T08:11:16.0927007Z * [new tag] viable/strict/1762919776 -> viable/strict/1762919776 2025-12-04T08:11:16.0928162Z * [new tag] viable/strict/1762923072 -> viable/strict/1762923072 2025-12-04T08:11:16.0929283Z * [new tag] viable/strict/1762928826 -> viable/strict/1762928826 2025-12-04T08:11:16.0930590Z * [new tag] viable/strict/1762930451 -> viable/strict/1762930451 2025-12-04T08:11:16.0931689Z * [new tag] viable/strict/1762933780 -> viable/strict/1762933780 2025-12-04T08:11:16.0932843Z * [new tag] viable/strict/1762937638 -> viable/strict/1762937638 2025-12-04T08:11:16.0934184Z * [new tag] viable/strict/1762939545 -> viable/strict/1762939545 2025-12-04T08:11:16.0935344Z * [new tag] viable/strict/1762962692 -> viable/strict/1762962692 2025-12-04T08:11:16.0936450Z * [new tag] viable/strict/1762979143 -> viable/strict/1762979143 2025-12-04T08:11:16.0937677Z * [new tag] viable/strict/1762984188 -> viable/strict/1762984188 2025-12-04T08:11:16.0938609Z * [new tag] viable/strict/1762986306 -> viable/strict/1762986306 2025-12-04T08:11:16.0939777Z * [new tag] viable/strict/1762989903 -> viable/strict/1762989903 2025-12-04T08:11:16.0940889Z * [new tag] viable/strict/1762991377 -> viable/strict/1762991377 2025-12-04T08:11:16.0942039Z * [new tag] viable/strict/1762998921 -> viable/strict/1762998921 2025-12-04T08:11:16.0943317Z * [new tag] viable/strict/1763002287 -> viable/strict/1763002287 2025-12-04T08:11:16.0944488Z * [new tag] viable/strict/1763016840 -> viable/strict/1763016840 2025-12-04T08:11:16.0945598Z * [new tag] viable/strict/1763020180 -> viable/strict/1763020180 2025-12-04T08:11:16.0946822Z * [new tag] viable/strict/1763027421 -> viable/strict/1763027421 2025-12-04T08:11:16.0947933Z * [new tag] viable/strict/1763031120 -> viable/strict/1763031120 2025-12-04T08:11:16.0949132Z * [new tag] viable/strict/1763036861 -> viable/strict/1763036861 2025-12-04T08:11:16.0950322Z * [new tag] viable/strict/1763038993 -> viable/strict/1763038993 2025-12-04T08:11:16.0951533Z * [new tag] viable/strict/1763054703 -> viable/strict/1763054703 2025-12-04T08:11:16.0952563Z * [new tag] viable/strict/1763067061 -> viable/strict/1763067061 2025-12-04T08:11:16.0953740Z * [new tag] viable/strict/1763070847 -> viable/strict/1763070847 2025-12-04T08:11:16.0954886Z * [new tag] viable/strict/1763072706 -> viable/strict/1763072706 2025-12-04T08:11:16.0956081Z * [new tag] viable/strict/1763076302 -> viable/strict/1763076302 2025-12-04T08:11:16.0957201Z * [new tag] viable/strict/1763080816 -> viable/strict/1763080816 2025-12-04T08:11:16.0958404Z * [new tag] viable/strict/1763082732 -> viable/strict/1763082732 2025-12-04T08:11:16.0959633Z * [new tag] viable/strict/1763085329 -> viable/strict/1763085329 2025-12-04T08:11:16.0960762Z * [new tag] viable/strict/1763088623 -> viable/strict/1763088623 2025-12-04T08:11:16.0962052Z * [new tag] viable/strict/1763091402 -> viable/strict/1763091402 2025-12-04T08:11:16.0963199Z * [new tag] viable/strict/1763092602 -> viable/strict/1763092602 2025-12-04T08:11:16.0964365Z * [new tag] viable/strict/1763094355 -> viable/strict/1763094355 2025-12-04T08:11:16.0965514Z * [new tag] viable/strict/1763099390 -> viable/strict/1763099390 2025-12-04T08:11:16.0966718Z * [new tag] viable/strict/1763101608 -> viable/strict/1763101608 2025-12-04T08:11:16.0967894Z * [new tag] viable/strict/1763105102 -> viable/strict/1763105102 2025-12-04T08:11:16.0969100Z * [new tag] viable/strict/1763112347 -> viable/strict/1763112347 2025-12-04T08:11:16.0970225Z * [new tag] viable/strict/1763119471 -> viable/strict/1763119471 2025-12-04T08:11:16.0971230Z * [new tag] viable/strict/1763126835 -> viable/strict/1763126835 2025-12-04T08:11:16.0972218Z * [new tag] viable/strict/1763149779 -> viable/strict/1763149779 2025-12-04T08:11:16.0977281Z * [new tag] viable/strict/1763164178 -> viable/strict/1763164178 2025-12-04T08:11:16.0978475Z * [new tag] viable/strict/1763167104 -> viable/strict/1763167104 2025-12-04T08:11:16.0979642Z * [new tag] viable/strict/1763169132 -> viable/strict/1763169132 2025-12-04T08:11:16.0980837Z * [new tag] viable/strict/1763171708 -> viable/strict/1763171708 2025-12-04T08:11:16.0981975Z * [new tag] viable/strict/1763174759 -> viable/strict/1763174759 2025-12-04T08:11:16.0983278Z * [new tag] viable/strict/1763180744 -> viable/strict/1763180744 2025-12-04T08:11:16.0984378Z * [new tag] viable/strict/1763182227 -> viable/strict/1763182227 2025-12-04T08:11:16.0985518Z * [new tag] viable/strict/1763184309 -> viable/strict/1763184309 2025-12-04T08:11:16.0987171Z * [new tag] viable/strict/1763187991 -> viable/strict/1763187991 2025-12-04T08:11:16.0988288Z * [new tag] viable/strict/1763191445 -> viable/strict/1763191445 2025-12-04T08:11:16.0989637Z * [new tag] viable/strict/1763195152 -> viable/strict/1763195152 2025-12-04T08:11:16.0990603Z * [new tag] viable/strict/1763205769 -> viable/strict/1763205769 2025-12-04T08:11:16.0991751Z * [new tag] viable/strict/1763246990 -> viable/strict/1763246990 2025-12-04T08:11:16.0993023Z * [new tag] viable/strict/1763261578 -> viable/strict/1763261578 2025-12-04T08:11:16.0994083Z * [new tag] viable/strict/1763286573 -> viable/strict/1763286573 2025-12-04T08:11:16.0995058Z * [new tag] viable/strict/1763292167 -> viable/strict/1763292167 2025-12-04T08:11:16.0996743Z * [new tag] viable/strict/1763333386 -> viable/strict/1763333386 2025-12-04T08:11:16.0997981Z * [new tag] viable/strict/1763340082 -> viable/strict/1763340082 2025-12-04T08:11:16.0999954Z * [new tag] viable/strict/1763364324 -> viable/strict/1763364324 2025-12-04T08:11:16.1001082Z * [new tag] viable/strict/1763371569 -> viable/strict/1763371569 2025-12-04T08:11:16.1002352Z * [new tag] viable/strict/1763373067 -> viable/strict/1763373067 2025-12-04T08:11:16.1003472Z * [new tag] viable/strict/1763375157 -> viable/strict/1763375157 2025-12-04T08:11:16.1004669Z * [new tag] viable/strict/1763382462 -> viable/strict/1763382462 2025-12-04T08:11:16.1005850Z * [new tag] viable/strict/1763394661 -> viable/strict/1763394661 2025-12-04T08:11:16.1007163Z * [new tag] viable/strict/1763396797 -> viable/strict/1763396797 2025-12-04T08:11:16.1008349Z * [new tag] viable/strict/1763398542 -> viable/strict/1763398542 2025-12-04T08:11:16.1009577Z * [new tag] viable/strict/1763401807 -> viable/strict/1763401807 2025-12-04T08:11:16.1010557Z * [new tag] viable/strict/1763414698 -> viable/strict/1763414698 2025-12-04T08:11:16.1011736Z * [new tag] viable/strict/1763419807 -> viable/strict/1763419807 2025-12-04T08:11:16.1012858Z * [new tag] viable/strict/1763426369 -> viable/strict/1763426369 2025-12-04T08:11:16.1014184Z * [new tag] viable/strict/1763428331 -> viable/strict/1763428331 2025-12-04T08:11:16.1015265Z * [new tag] viable/strict/1763430922 -> viable/strict/1763430922 2025-12-04T08:11:16.1016232Z * [new tag] viable/strict/1763434184 -> viable/strict/1763434184 2025-12-04T08:11:16.1017350Z * [new tag] viable/strict/1763439973 -> viable/strict/1763439973 2025-12-04T08:11:16.1018640Z * [new tag] viable/strict/1763444995 -> viable/strict/1763444995 2025-12-04T08:11:16.1019659Z * [new tag] viable/strict/1763447206 -> viable/strict/1763447206 2025-12-04T08:11:16.1021024Z * [new tag] viable/strict/1763448826 -> viable/strict/1763448826 2025-12-04T08:11:16.1021985Z * [new tag] viable/strict/1763450717 -> viable/strict/1763450717 2025-12-04T08:11:16.1023246Z * [new tag] viable/strict/1763452183 -> viable/strict/1763452183 2025-12-04T08:11:16.1024349Z * [new tag] viable/strict/1763457945 -> viable/strict/1763457945 2025-12-04T08:11:16.1025461Z * [new tag] viable/strict/1763459439 -> viable/strict/1763459439 2025-12-04T08:11:16.1026536Z * [new tag] viable/strict/1763461556 -> viable/strict/1763461556 2025-12-04T08:11:16.1027529Z * [new tag] viable/strict/1763463103 -> viable/strict/1763463103 2025-12-04T08:11:16.1028844Z * [new tag] viable/strict/1763465100 -> viable/strict/1763465100 2025-12-04T08:11:16.1029750Z * [new tag] viable/strict/1763468866 -> viable/strict/1763468866 2025-12-04T08:11:16.1030687Z * [new tag] viable/strict/1763493823 -> viable/strict/1763493823 2025-12-04T08:11:16.1031630Z * [new tag] viable/strict/1763496249 -> viable/strict/1763496249 2025-12-04T08:11:16.1032916Z * [new tag] viable/strict/1763502620 -> viable/strict/1763502620 2025-12-04T08:11:16.1034015Z * [new tag] viable/strict/1763504715 -> viable/strict/1763504715 2025-12-04T08:11:16.1035131Z * [new tag] viable/strict/1763506208 -> viable/strict/1763506208 2025-12-04T08:11:16.1036240Z * [new tag] viable/strict/1763520590 -> viable/strict/1763520590 2025-12-04T08:11:16.1037532Z * [new tag] viable/strict/1763523357 -> viable/strict/1763523357 2025-12-04T08:11:16.1038993Z * [new tag] viable/strict/1763529922 -> viable/strict/1763529922 2025-12-04T08:11:16.1040087Z * [new tag] viable/strict/1763531408 -> viable/strict/1763531408 2025-12-04T08:11:16.1041187Z * [new tag] viable/strict/1763533622 -> viable/strict/1763533622 2025-12-04T08:11:16.1042437Z * [new tag] viable/strict/1763538576 -> viable/strict/1763538576 2025-12-04T08:11:16.1043568Z * [new tag] viable/strict/1763545823 -> viable/strict/1763545823 2025-12-04T08:11:16.1044532Z * [new tag] viable/strict/1763547951 -> viable/strict/1763547951 2025-12-04T08:11:16.1045841Z * [new tag] viable/strict/1763551477 -> viable/strict/1763551477 2025-12-04T08:11:16.1046902Z * [new tag] viable/strict/1763552982 -> viable/strict/1763552982 2025-12-04T08:11:16.1048012Z * [new tag] viable/strict/1763594698 -> viable/strict/1763594698 2025-12-04T08:11:16.1049109Z * [new tag] viable/strict/1763596178 -> viable/strict/1763596178 2025-12-04T08:11:16.1050237Z * [new tag] viable/strict/1763599155 -> viable/strict/1763599155 2025-12-04T08:11:16.1051332Z * [new tag] viable/strict/1763603717 -> viable/strict/1763603717 2025-12-04T08:11:16.1052648Z * [new tag] viable/strict/1763606923 -> viable/strict/1763606923 2025-12-04T08:11:16.1053726Z * [new tag] viable/strict/1763609715 -> viable/strict/1763609715 2025-12-04T08:11:16.1054999Z * [new tag] viable/strict/1763612757 -> viable/strict/1763612757 2025-12-04T08:11:16.1056042Z * [new tag] viable/strict/1763616325 -> viable/strict/1763616325 2025-12-04T08:11:16.1057158Z * [new tag] viable/strict/1763623509 -> viable/strict/1763623509 2025-12-04T08:11:16.1058543Z * [new tag] viable/strict/1763624984 -> viable/strict/1763624984 2025-12-04T08:11:16.1059592Z * [new tag] viable/strict/1763628796 -> viable/strict/1763628796 2025-12-04T08:11:16.1060666Z * [new tag] viable/strict/1763634343 -> viable/strict/1763634343 2025-12-04T08:11:16.1061723Z * [new tag] viable/strict/1763635867 -> viable/strict/1763635867 2025-12-04T08:11:16.1063150Z * [new tag] viable/strict/1763639382 -> viable/strict/1763639382 2025-12-04T08:11:16.1064160Z * [new tag] viable/strict/1763646626 -> viable/strict/1763646626 2025-12-04T08:11:16.1065556Z * [new tag] viable/strict/1763655997 -> viable/strict/1763655997 2025-12-04T08:11:16.1066591Z * [new tag] viable/strict/1763659444 -> viable/strict/1763659444 2025-12-04T08:11:16.1067770Z * [new tag] viable/strict/1763660992 -> viable/strict/1763660992 2025-12-04T08:11:16.1068785Z * [new tag] viable/strict/1763663201 -> viable/strict/1763663201 2025-12-04T08:11:16.1070072Z * [new tag] viable/strict/1763670362 -> viable/strict/1763670362 2025-12-04T08:11:16.1071461Z * [new tag] viable/strict/1763675378 -> viable/strict/1763675378 2025-12-04T08:11:16.1072670Z * [new tag] viable/strict/1763693343 -> viable/strict/1763693343 2025-12-04T08:11:16.1073975Z * [new tag] viable/strict/1763696088 -> viable/strict/1763696088 2025-12-04T08:11:16.1075278Z * [new tag] viable/strict/1763697343 -> viable/strict/1763697343 2025-12-04T08:11:16.1076501Z * [new tag] viable/strict/1763699165 -> viable/strict/1763699165 2025-12-04T08:11:16.1077579Z * [new tag] viable/strict/1763700660 -> viable/strict/1763700660 2025-12-04T08:11:16.1078891Z * [new tag] viable/strict/1763704209 -> viable/strict/1763704209 2025-12-04T08:11:16.1079961Z * [new tag] viable/strict/1763706411 -> viable/strict/1763706411 2025-12-04T08:11:16.1081031Z * [new tag] viable/strict/1763708082 -> viable/strict/1763708082 2025-12-04T08:11:16.1082069Z * [new tag] viable/strict/1763711381 -> viable/strict/1763711381 2025-12-04T08:11:16.1083089Z * [new tag] viable/strict/1763713593 -> viable/strict/1763713593 2025-12-04T08:11:16.1084400Z * [new tag] viable/strict/1763715201 -> viable/strict/1763715201 2025-12-04T08:11:16.1085407Z * [new tag] viable/strict/1763733017 -> viable/strict/1763733017 2025-12-04T08:11:16.1086513Z * [new tag] viable/strict/1763735108 -> viable/strict/1763735108 2025-12-04T08:11:16.1087609Z * [new tag] viable/strict/1763749579 -> viable/strict/1763749579 2025-12-04T08:11:16.1088866Z * [new tag] viable/strict/1763751113 -> viable/strict/1763751113 2025-12-04T08:11:16.1089926Z * [new tag] viable/strict/1763753035 -> viable/strict/1763753035 2025-12-04T08:11:16.1091127Z * [new tag] viable/strict/1763754578 -> viable/strict/1763754578 2025-12-04T08:11:16.1092173Z * [new tag] viable/strict/1763756748 -> viable/strict/1763756748 2025-12-04T08:11:16.1093830Z * [new tag] viable/strict/1763758205 -> viable/strict/1763758205 2025-12-04T08:11:16.1094716Z * [new tag] viable/strict/1763764050 -> viable/strict/1763764050 2025-12-04T08:11:16.1095816Z * [new tag] viable/strict/1763771887 -> viable/strict/1763771887 2025-12-04T08:11:16.1097241Z * [new tag] viable/strict/1763773920 -> viable/strict/1763773920 2025-12-04T08:11:16.1098280Z * [new tag] viable/strict/1763776501 -> viable/strict/1763776501 2025-12-04T08:11:16.1099384Z * [new tag] viable/strict/1763779437 -> viable/strict/1763779437 2025-12-04T08:11:16.1100838Z * [new tag] viable/strict/1763781038 -> viable/strict/1763781038 2025-12-04T08:11:16.1101711Z * [new tag] viable/strict/1763782245 -> viable/strict/1763782245 2025-12-04T08:11:16.1102980Z * [new tag] viable/strict/1763785568 -> viable/strict/1763785568 2025-12-04T08:11:16.1103974Z * [new tag] viable/strict/1763787006 -> viable/strict/1763787006 2025-12-04T08:11:16.1105234Z * [new tag] viable/strict/1763789103 -> viable/strict/1763789103 2025-12-04T08:11:16.1106250Z * [new tag] viable/strict/1763790578 -> viable/strict/1763790578 2025-12-04T08:11:16.1107345Z * [new tag] viable/strict/1763796275 -> viable/strict/1763796275 2025-12-04T08:11:16.1108955Z * [new tag] viable/strict/1763801465 -> viable/strict/1763801465 2025-12-04T08:11:16.1109843Z * [new tag] viable/strict/1763803522 -> viable/strict/1763803522 2025-12-04T08:11:16.1110898Z * [new tag] viable/strict/1763808581 -> viable/strict/1763808581 2025-12-04T08:11:16.1111999Z * [new tag] viable/strict/1763840977 -> viable/strict/1763840977 2025-12-04T08:11:16.1113311Z * [new tag] viable/strict/1763846659 -> viable/strict/1763846659 2025-12-04T08:11:16.1114289Z * [new tag] viable/strict/1763872065 -> viable/strict/1763872065 2025-12-04T08:11:16.1115589Z * [new tag] viable/strict/1763873648 -> viable/strict/1763873648 2025-12-04T08:11:16.1116623Z * [new tag] viable/strict/1763875506 -> viable/strict/1763875506 2025-12-04T08:11:16.1117581Z * [new tag] viable/strict/1763889904 -> viable/strict/1763889904 2025-12-04T08:11:16.1118955Z * [new tag] viable/strict/1763930999 -> viable/strict/1763930999 2025-12-04T08:11:16.1119977Z * [new tag] viable/strict/1763944964 -> viable/strict/1763944964 2025-12-04T08:11:16.1120914Z * [new tag] viable/strict/1763958474 -> viable/strict/1763958474 2025-12-04T08:11:16.1122011Z * [new tag] viable/strict/1763967263 -> viable/strict/1763967263 2025-12-04T08:11:16.1123312Z * [new tag] viable/strict/1763972803 -> viable/strict/1763972803 2025-12-04T08:11:16.1124272Z * [new tag] viable/strict/1763976376 -> viable/strict/1763976376 2025-12-04T08:11:16.1125359Z * [new tag] viable/strict/1763989404 -> viable/strict/1763989404 2025-12-04T08:11:16.1126431Z * [new tag] viable/strict/1763990887 -> viable/strict/1763990887 2025-12-04T08:11:16.1127513Z * [new tag] viable/strict/1764019919 -> viable/strict/1764019919 2025-12-04T08:11:16.1128826Z * [new tag] viable/strict/1764023134 -> viable/strict/1764023134 2025-12-04T08:11:16.1129707Z * [new tag] viable/strict/1764024593 -> viable/strict/1764024593 2025-12-04T08:11:16.1130866Z * [new tag] viable/strict/1764026706 -> viable/strict/1764026706 2025-12-04T08:11:16.1132324Z * [new tag] viable/strict/1764031139 -> viable/strict/1764031139 2025-12-04T08:11:16.1133378Z * [new tag] viable/strict/1764033131 -> viable/strict/1764033131 2025-12-04T08:11:16.1134300Z * [new tag] viable/strict/1764035725 -> viable/strict/1764035725 2025-12-04T08:11:16.1135256Z * [new tag] viable/strict/1764624265 -> viable/strict/1764624265 2025-12-04T08:11:16.1136258Z * [new tag] viable/strict/1764631514 -> viable/strict/1764631514 2025-12-04T08:11:16.1137171Z * [new tag] viable/strict/1764632987 -> viable/strict/1764632987 2025-12-04T08:11:16.1138090Z * [new tag] viable/strict/1764636063 -> viable/strict/1764636063 2025-12-04T08:11:16.1139078Z * [new tag] viable/strict/1764643975 -> viable/strict/1764643975 2025-12-04T08:11:16.1140008Z * [new tag] viable/strict/1764646859 -> viable/strict/1764646859 2025-12-04T08:11:16.1140946Z * [new tag] viable/strict/1764653120 -> viable/strict/1764653120 2025-12-04T08:11:16.1141901Z * [new tag] viable/strict/1764654632 -> viable/strict/1764654632 2025-12-04T08:11:16.1143359Z * [new tag] viable/strict/1764656821 -> viable/strict/1764656821 2025-12-04T08:11:16.1144213Z * [new tag] viable/strict/1764658557 -> viable/strict/1764658557 2025-12-04T08:11:16.1145163Z * [new tag] viable/strict/1764660333 -> viable/strict/1764660333 2025-12-04T08:11:16.1146088Z * [new tag] viable/strict/1764661812 -> viable/strict/1764661812 2025-12-04T08:11:16.1147183Z * [new tag] viable/strict/1764664023 -> viable/strict/1764664023 2025-12-04T08:11:16.1148042Z * [new tag] viable/strict/1764669150 -> viable/strict/1764669150 2025-12-04T08:11:16.1148968Z * [new tag] viable/strict/1764680709 -> viable/strict/1764680709 2025-12-04T08:11:16.1149913Z * [new tag] viable/strict/1764687619 -> viable/strict/1764687619 2025-12-04T08:11:16.1150839Z * [new tag] viable/strict/1764696355 -> viable/strict/1764696355 2025-12-04T08:11:16.1151814Z * [new tag] viable/strict/1764701767 -> viable/strict/1764701767 2025-12-04T08:11:16.1152757Z * [new tag] viable/strict/1764710768 -> viable/strict/1764710768 2025-12-04T08:11:16.1153710Z * [new tag] viable/strict/1764716202 -> viable/strict/1764716202 2025-12-04T08:11:16.1154628Z * [new tag] viable/strict/1764793566 -> viable/strict/1764793566 2025-12-04T08:11:16.1155563Z * [new tag] viable/strict/1764797093 -> viable/strict/1764797093 2025-12-04T08:11:16.1156496Z * [new tag] viable/strict/1764800729 -> viable/strict/1764800729 2025-12-04T08:11:16.1157883Z * [new tag] whc_flight_1 -> whc_flight_1 2025-12-04T08:11:16.1159101Z * [new tag] whc_flight_2 -> whc_flight_2 2025-12-04T08:11:16.1160501Z * [new tag] whc_flight_4 -> whc_flight_4 2025-12-04T08:11:16.1905239Z [command]/usr/bin/git rev-parse --verify --quiet ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32^{object} 2025-12-04T08:11:16.1928740Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:11:16.1932645Z ##[endgroup] 2025-12-04T08:11:16.1933095Z ##[group]Determining the checkout info 2025-12-04T08:11:16.1933705Z ##[endgroup] 2025-12-04T08:11:16.1937397Z [command]/usr/bin/git sparse-checkout disable 2025-12-04T08:11:16.1968590Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-12-04T08:11:16.1993349Z ##[group]Checking out the ref 2025-12-04T08:11:16.1996789Z [command]/usr/bin/git checkout --progress --force ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:11:17.2481125Z Updating files: 81% (16309/20121) 2025-12-04T08:11:17.2688991Z Updating files: 82% (16500/20121) 2025-12-04T08:11:17.2834112Z Updating files: 83% (16701/20121) 2025-12-04T08:11:17.2967842Z Updating files: 84% (16902/20121) 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(20121/20121) 2025-12-04T08:11:17.5400540Z Updating files: 100% (20121/20121), done. 2025-12-04T08:11:17.5671148Z Note: switching to 'ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32'. 2025-12-04T08:11:17.5671476Z 2025-12-04T08:11:17.5671689Z You are in 'detached HEAD' state. You can look around, make experimental 2025-12-04T08:11:17.5672246Z changes and commit them, and you can discard any commits you make in this 2025-12-04T08:11:17.5672942Z state without impacting any branches by switching back to a branch. 2025-12-04T08:11:17.5673268Z 2025-12-04T08:11:17.5673475Z If you want to create a new branch to retain commits you create, you may 2025-12-04T08:11:17.5674228Z do so (now or later) by using -c with the switch command. Example: 2025-12-04T08:11:17.5674527Z 2025-12-04T08:11:17.5674664Z git switch -c 2025-12-04T08:11:17.5674862Z 2025-12-04T08:11:17.5674966Z Or undo this operation with: 2025-12-04T08:11:17.5675158Z 2025-12-04T08:11:17.5675246Z git switch - 2025-12-04T08:11:17.5675386Z 2025-12-04T08:11:17.5675620Z Turn off this advice by setting config variable advice.detachedHead to false 2025-12-04T08:11:17.5675971Z 2025-12-04T08:11:17.5677306Z HEAD is now at ffd9b0fb435 Resolve collective autotuning test failure on arm (#168919) 2025-12-04T08:11:17.5747721Z ##[endgroup] 2025-12-04T08:11:17.5748145Z ##[group]Setting up auth for fetching submodules 2025-12-04T08:11:17.5754071Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-12-04T08:11:17.5810319Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-12-04T08:11:17.5837507Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-12-04T08:11:17.5863192Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-12-04T08:11:17.5886515Z ##[endgroup] 2025-12-04T08:11:17.5886917Z ##[group]Fetching submodules 2025-12-04T08:11:17.5889948Z [command]/usr/bin/git submodule sync --recursive 2025-12-04T08:11:17.6197871Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-12-04T08:11:17.6502529Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-12-04T08:11:17.6504691Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-12-04T08:11:17.6507356Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-12-04T08:11:17.6511554Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-12-04T08:11:17.6515487Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-12-04T08:11:17.6520317Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-12-04T08:11:17.6523768Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-12-04T08:11:17.6528261Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-12-04T08:11:17.6532734Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-12-04T08:11:17.6537483Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-12-04T08:11:17.6542099Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-12-04T08:11:17.6546522Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-12-04T08:11:17.6551747Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-12-04T08:11:17.6556305Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-12-04T08:11:17.6561277Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-12-04T08:11:17.6566993Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-12-04T08:11:17.6574039Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-12-04T08:11:17.6579170Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-12-04T08:11:17.6584794Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-12-04T08:11:17.6590024Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-12-04T08:11:17.6595895Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-12-04T08:11:17.6601481Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-12-04T08:11:17.6607187Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-12-04T08:11:17.6612932Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-12-04T08:11:17.6618959Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-12-04T08:11:17.6625060Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-12-04T08:11:17.6631087Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-12-04T08:11:17.6637115Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-12-04T08:11:17.6644176Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-12-04T08:11:17.6650382Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-12-04T08:11:17.6657143Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-12-04T08:11:17.6663794Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-12-04T08:11:17.6670934Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-12-04T08:11:17.6679780Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-12-04T08:11:17.6687082Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-12-04T08:11:17.6693669Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-12-04T08:11:17.6700944Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-12-04T08:11:17.6733272Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2025-12-04T08:11:17.8816608Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2025-12-04T08:11:17.8817597Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2025-12-04T08:11:17.8821885Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'... 2025-12-04T08:11:21.2047245Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2025-12-04T08:11:21.2048999Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'... 2025-12-04T08:11:21.2050607Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'... 2025-12-04T08:11:21.2052279Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-12-04T08:11:21.2053952Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'... 2025-12-04T08:11:21.2055892Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'... 2025-12-04T08:11:21.2057608Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-12-04T08:11:21.2059233Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-12-04T08:11:21.2060860Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'... 2025-12-04T08:11:21.2062403Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'... 2025-12-04T08:11:21.2064012Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'... 2025-12-04T08:11:21.2065695Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'... 2025-12-04T08:11:21.2067450Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-12-04T08:11:21.2069138Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'... 2025-12-04T08:11:21.2070692Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'... 2025-12-04T08:11:21.2072229Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'... 2025-12-04T08:11:21.2074077Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-12-04T08:11:21.2166788Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-12-04T08:11:21.3331013Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'... 2025-12-04T08:11:21.7213257Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-12-04T08:11:21.7215311Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-12-04T08:11:21.8214218Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'... 2025-12-04T08:11:24.8488042Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-12-04T08:11:24.8490182Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'... 2025-12-04T08:11:24.8491760Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'... 2025-12-04T08:11:24.8493386Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'... 2025-12-04T08:11:24.8494971Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2025-12-04T08:11:24.9495027Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-12-04T08:11:43.2672045Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-12-04T08:11:43.2673189Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'... 2025-12-04T08:11:43.2674011Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-12-04T08:11:43.2680322Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'... 2025-12-04T08:11:43.2681202Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'... 2025-12-04T08:11:43.2832298Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-12-04T08:11:43.2957389Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-12-04T08:11:43.3054326Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-12-04T08:11:43.3304326Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-12-04T08:11:43.4148763Z Submodule path 'third_party/NVTX': checked out '3ebbc93ded7285963bff932c678fa367eb393ba6' 2025-12-04T08:11:43.4727000Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-12-04T08:11:44.2299735Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-12-04T08:11:44.4230855Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-12-04T08:11:44.4251309Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T08:11:44.4277767Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-12-04T08:11:49.3505749Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-12-04T08:11:49.3754316Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-12-04T08:11:49.7379257Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-12-04T08:11:49.7893522Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-12-04T08:11:49.8881835Z Submodule path 'third_party/cpuinfo': checked out 'f858c30bcb16f8effd5ff46996f0514539e17abc' 2025-12-04T08:11:49.9373122Z Submodule path 'third_party/cudnn_frontend': checked out '0b1577c8c83401237d601d0d0db5210506705396' 2025-12-04T08:11:50.5927544Z Submodule path 'third_party/cutlass': checked out 'f88806b1e31dfa579842638740216dd41fc6c588' 2025-12-04T08:11:50.7518927Z Submodule path 'third_party/fbgemm': checked out 'c0b988d39a9e47c794d699f29930ed4d7c7e13a4' 2025-12-04T08:11:50.7540260Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-12-04T08:11:50.7543136Z Submodule 'external/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-12-04T08:11:50.7545820Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-12-04T08:11:50.7548781Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-12-04T08:11:50.7551893Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-12-04T08:11:50.7555069Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-12-04T08:11:50.7558187Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-12-04T08:11:50.7587124Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-12-04T08:11:51.9915385Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-12-04T08:11:51.9916379Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-12-04T08:11:51.9917255Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-12-04T08:11:52.0916623Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-12-04T08:11:55.4010441Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-12-04T08:11:55.5011002Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-12-04T08:11:58.1980225Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-12-04T08:11:58.5591902Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-12-04T08:11:58.6613222Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-12-04T08:11:59.3048501Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '98125ce499b0fdf7ffbe0e3052f5b8709f4840f8' 2025-12-04T08:11:59.3527353Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T08:11:59.3650783Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-12-04T08:11:59.4747498Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-12-04T08:11:59.5462280Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-12-04T08:11:59.5482979Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T08:11:59.5485448Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-12-04T08:11:59.5513566Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-12-04T08:12:03.8576415Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-12-04T08:12:04.1081347Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-12-04T08:12:04.6827544Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-12-04T08:12:04.8237449Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-12-04T08:12:04.8550184Z Submodule path 'third_party/fmt': checked out '407c905e45ad75fc29bf0f9bb7c5c2fd3475976f' 2025-12-04T08:12:04.8951051Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-12-04T08:12:04.9208530Z Submodule path 'third_party/gloo': checked out '54cbae0d3a67fa890b4c3d9ee162b7860315e341' 2025-12-04T08:12:04.9670024Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T08:12:04.9807862Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-12-04T08:12:04.9824253Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-12-04T08:12:04.9849681Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-12-04T08:12:21.1317274Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-12-04T08:12:21.1525985Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-12-04T08:12:21.2383739Z Submodule path 'third_party/kineto': checked out '31f85df8fbd89c188f14ef10f1ec65379786b943' 2025-12-04T08:12:21.2402458Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T08:12:21.2404643Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T08:12:21.2407391Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T08:12:21.2435435Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-12-04T08:12:22.3548710Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-12-04T08:12:22.7204834Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-12-04T08:12:22.8179653Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out 'd2ffe0a4e3acace628db49974246b66fc3e85fb1' 2025-12-04T08:12:22.8197450Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T08:12:22.8199928Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T08:12:22.8203042Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T08:12:22.8205897Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T08:12:22.8208785Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T08:12:22.8211960Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T08:12:22.8215037Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T08:12:22.8218262Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T08:12:22.8221697Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T08:12:22.8250608Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-12-04T08:12:24.6700352Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-12-04T08:12:24.6701682Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'... 2025-12-04T08:12:24.6703113Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-12-04T08:12:24.6704339Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-12-04T08:12:24.6705485Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-12-04T08:12:24.6706740Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-12-04T08:12:24.6707919Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-12-04T08:12:24.7701322Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-12-04T08:12:31.2179062Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-12-04T08:12:31.2364153Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-12-04T08:12:31.2740425Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-12-04T08:12:31.2882675Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-12-04T08:12:31.2899272Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T08:12:31.2924921Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-12-04T08:12:31.5553651Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-12-04T08:12:31.5742919Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-12-04T08:12:31.6204119Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T08:12:31.7276263Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-12-04T08:12:31.7450663Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-12-04T08:12:31.7623554Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp': checked out 'b1234816facfdda29845c46696a02998a4af115a' 2025-12-04T08:12:31.7640525Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:12:31.7643217Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:12:31.7669617Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'... 2025-12-04T08:12:33.8285269Z Cloning into 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'third_party/protobuf/third_party/benchmark' 2025-12-04T08:12:52.4273839Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T08:12:52.4315872Z Entering 'third_party/psimd' 2025-12-04T08:12:52.4360708Z Entering 'third_party/pthreadpool' 2025-12-04T08:12:52.4403024Z Entering 'third_party/pybind11' 2025-12-04T08:12:52.4445044Z Entering 'third_party/python-peachpy' 2025-12-04T08:12:52.4486541Z Entering 'third_party/sleef' 2025-12-04T08:12:52.4529127Z Entering 'third_party/tensorpipe' 2025-12-04T08:12:52.4570948Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T08:12:52.4612535Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T08:12:52.4652081Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T08:12:52.4692130Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T08:12:52.4731002Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T08:12:52.4789208Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-12-04T08:12:52.5092034Z Entering 'android/libs/fbjni' 2025-12-04T08:12:52.5135433Z Entering 'third_party/FP16' 2025-12-04T08:12:52.5178611Z Entering 'third_party/FXdiv' 2025-12-04T08:12:52.5221178Z Entering 'third_party/NNPACK' 2025-12-04T08:12:52.5264957Z Entering 'third_party/NVTX' 2025-12-04T08:12:52.5309163Z Entering 'third_party/VulkanMemoryAllocator' 2025-12-04T08:12:52.5352570Z Entering 'third_party/XNNPACK' 2025-12-04T08:12:52.5412460Z Entering 'third_party/aiter' 2025-12-04T08:12:52.5455364Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T08:12:52.5510832Z Entering 'third_party/benchmark' 2025-12-04T08:12:52.5552788Z Entering 'third_party/composable_kernel' 2025-12-04T08:12:52.5603837Z Entering 'third_party/cpp-httplib' 2025-12-04T08:12:52.5646139Z Entering 'third_party/cpuinfo' 2025-12-04T08:12:52.5688573Z Entering 'third_party/cudnn_frontend' 2025-12-04T08:12:52.5732050Z Entering 'third_party/cutlass' 2025-12-04T08:12:52.5784978Z Entering 'third_party/fbgemm' 2025-12-04T08:12:52.5829527Z Entering 'third_party/fbgemm/external/asmjit' 2025-12-04T08:12:52.5871732Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-12-04T08:12:52.5921550Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-12-04T08:12:52.5964464Z Entering 'third_party/fbgemm/external/cutlass' 2025-12-04T08:12:52.6014187Z Entering 'third_party/fbgemm/external/googletest' 2025-12-04T08:12:52.6054299Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-12-04T08:12:52.6096595Z Entering 'third_party/fbgemm/external/json' 2025-12-04T08:12:52.6141821Z Entering 'third_party/flash-attention' 2025-12-04T08:12:52.6184959Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T08:12:52.6234023Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-12-04T08:12:52.6286902Z Entering 'third_party/flatbuffers' 2025-12-04T08:12:52.6332478Z Entering 'third_party/fmt' 2025-12-04T08:12:52.6378907Z Entering 'third_party/gemmlowp/gemmlowp' 2025-12-04T08:12:52.6420578Z Entering 'third_party/gloo' 2025-12-04T08:12:52.6464148Z Entering 'third_party/googletest' 2025-12-04T08:12:52.6505501Z Entering 'third_party/ideep' 2025-12-04T08:12:52.6545452Z Entering 'third_party/ideep/mkl-dnn' 2025-12-04T08:12:52.6594113Z Entering 'third_party/ittapi' 2025-12-04T08:12:52.6635539Z Entering 'third_party/kineto' 2025-12-04T08:12:52.6678147Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T08:12:52.6719951Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T08:12:52.6762529Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T08:12:52.6803952Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T08:12:52.6844996Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T08:12:52.6885748Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T08:12:52.6928473Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T08:12:52.6977161Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T08:12:52.7016950Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T08:12:52.7059517Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T08:12:52.7102639Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T08:12:52.7142974Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:12:52.7188397Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:12:52.7234704Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T08:12:52.7276586Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T08:12:52.7319077Z Entering 'third_party/kleidiai' 2025-12-04T08:12:52.7361743Z Entering 'third_party/mimalloc' 2025-12-04T08:12:52.7402912Z Entering 'third_party/nlohmann' 2025-12-04T08:12:52.7445933Z Entering 'third_party/onnx' 2025-12-04T08:12:52.7509233Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T08:12:52.7552429Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T08:12:52.7595385Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T08:12:52.7635736Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T08:12:52.7677389Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T08:12:52.7718512Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T08:12:52.7766168Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T08:12:52.7805880Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T08:12:52.7847488Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T08:12:52.7888375Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:12:52.7931332Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:12:52.7975713Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T08:12:52.8037664Z Entering 'third_party/pocketfft' 2025-12-04T08:12:52.8081739Z Entering 'third_party/protobuf' 2025-12-04T08:12:52.8126804Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T08:12:52.8167874Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T08:12:52.8211737Z Entering 'third_party/psimd' 2025-12-04T08:12:52.8256020Z Entering 'third_party/pthreadpool' 2025-12-04T08:12:52.8298443Z Entering 'third_party/pybind11' 2025-12-04T08:12:52.8341062Z Entering 'third_party/python-peachpy' 2025-12-04T08:12:52.8383276Z Entering 'third_party/sleef' 2025-12-04T08:12:52.8424863Z Entering 'third_party/tensorpipe' 2025-12-04T08:12:52.8467215Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T08:12:52.8510982Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T08:12:52.8552091Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T08:12:52.8595506Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T08:12:52.8635676Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T08:12:52.8690639Z ##[endgroup] 2025-12-04T08:12:52.8724975Z [command]/usr/bin/git log -1 --format=%H 2025-12-04T08:12:52.8747555Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:12:52.8851035Z ##[group]Run cd "${GITHUB_WORKSPACE}" 2025-12-04T08:12:52.8851402Z cd "${GITHUB_WORKSPACE}" 2025-12-04T08:12:52.8851704Z # Clean stale submodule dirs 2025-12-04T08:12:52.8852031Z if [ -z "${NO_SUDO}" ]; then 2025-12-04T08:12:52.8852440Z  sudo git submodule foreach --recursive git clean -ffdx 2025-12-04T08:12:52.8852818Z else 2025-12-04T08:12:52.8853131Z  git submodule foreach --recursive git clean -ffdx 2025-12-04T08:12:52.8853495Z fi 2025-12-04T08:12:52.8861152Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:12:52.8861541Z env: 2025-12-04T08:12:52.8861759Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:12:52.8862016Z NO_SUDO: true 2025-12-04T08:12:52.8862246Z ##[endgroup] 2025-12-04T08:12:52.9186424Z Entering 'android/libs/fbjni' 2025-12-04T08:12:52.9221285Z Entering 'third_party/FP16' 2025-12-04T08:12:52.9254124Z Entering 'third_party/FXdiv' 2025-12-04T08:12:52.9285848Z Entering 'third_party/NNPACK' 2025-12-04T08:12:52.9321016Z Entering 'third_party/NVTX' 2025-12-04T08:12:52.9359193Z Entering 'third_party/VulkanMemoryAllocator' 2025-12-04T08:12:52.9392147Z Entering 'third_party/XNNPACK' 2025-12-04T08:12:52.9522237Z Entering 'third_party/aiter' 2025-12-04T08:12:52.9565048Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T08:12:52.9675816Z Entering 'third_party/benchmark' 2025-12-04T08:12:52.9710792Z Entering 'third_party/composable_kernel' 2025-12-04T08:12:52.9831856Z Entering 'third_party/cpp-httplib' 2025-12-04T08:12:52.9866376Z Entering 'third_party/cpuinfo' 2025-12-04T08:12:52.9904781Z Entering 'third_party/cudnn_frontend' 2025-12-04T08:12:52.9940495Z Entering 'third_party/cutlass' 2025-12-04T08:12:53.0047758Z Entering 'third_party/fbgemm' 2025-12-04T08:12:53.0111765Z Entering 'third_party/fbgemm/external/asmjit' 2025-12-04T08:12:53.0143611Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-12-04T08:12:53.0261858Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-12-04T08:12:53.0296368Z Entering 'third_party/fbgemm/external/cutlass' 2025-12-04T08:12:53.0396434Z Entering 'third_party/fbgemm/external/googletest' 2025-12-04T08:12:53.0429132Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-12-04T08:12:53.0457336Z Entering 'third_party/fbgemm/external/json' 2025-12-04T08:12:53.0502829Z Entering 'third_party/flash-attention' 2025-12-04T08:12:53.0543517Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T08:12:53.0638973Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-12-04T08:12:53.0726657Z Entering 'third_party/flatbuffers' 2025-12-04T08:12:53.0796375Z Entering 'third_party/fmt' 2025-12-04T08:12:53.0829030Z Entering 'third_party/gemmlowp/gemmlowp' 2025-12-04T08:12:53.0863567Z Entering 'third_party/gloo' 2025-12-04T08:12:53.0896965Z Entering 'third_party/googletest' 2025-12-04T08:12:53.0930332Z Entering 'third_party/ideep' 2025-12-04T08:12:53.0959945Z Entering 'third_party/ideep/mkl-dnn' 2025-12-04T08:12:53.1044773Z Entering 'third_party/ittapi' 2025-12-04T08:12:53.1078736Z Entering 'third_party/kineto' 2025-12-04T08:12:53.1114996Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T08:12:53.1151507Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T08:12:53.1195186Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T08:12:53.1226965Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T08:12:53.1258859Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T08:12:53.1287232Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T08:12:53.1317946Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T08:12:53.1347497Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T08:12:53.1379641Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T08:12:53.1420449Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T08:12:53.1450547Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T08:12:53.1482469Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:12:53.1529923Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:12:53.1566932Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T08:12:53.1598304Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T08:12:53.1632007Z Entering 'third_party/kleidiai' 2025-12-04T08:12:53.1670266Z Entering 'third_party/mimalloc' 2025-12-04T08:12:53.1704720Z Entering 'third_party/nlohmann' 2025-12-04T08:12:53.1752264Z Entering 'third_party/onnx' 2025-12-04T08:12:53.2079177Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T08:12:53.2115645Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T08:12:53.2170175Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T08:12:53.2201245Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T08:12:53.2233389Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T08:12:53.2263304Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T08:12:53.2304387Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T08:12:53.2334589Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T08:12:53.2364699Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T08:12:53.2397428Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:12:53.2444126Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:12:53.2478741Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T08:12:53.2736470Z Entering 'third_party/pocketfft' 2025-12-04T08:12:53.2768663Z Entering 'third_party/protobuf' 2025-12-04T08:12:53.2846703Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T08:12:53.2878717Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T08:12:53.2915554Z Entering 'third_party/psimd' 2025-12-04T08:12:53.2946441Z Entering 'third_party/pthreadpool' 2025-12-04T08:12:53.2977439Z Entering 'third_party/pybind11' 2025-12-04T08:12:53.3014877Z Entering 'third_party/python-peachpy' 2025-12-04T08:12:53.3045967Z Entering 'third_party/sleef' 2025-12-04T08:12:53.3079947Z Entering 'third_party/tensorpipe' 2025-12-04T08:12:53.3114389Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T08:12:53.3145987Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T08:12:53.3175903Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T08:12:53.3209772Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T08:12:53.3239210Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T08:12:53.3394465Z Prepare all required actions 2025-12-04T08:12:53.3395019Z Getting action download info 2025-12-04T08:12:53.4950512Z ##[group]Run ./.github/actions/setup-linux 2025-12-04T08:12:53.4950824Z env: 2025-12-04T08:12:53.4951051Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:12:53.4951320Z ##[endgroup] 2025-12-04T08:12:53.5003648Z ##[group]Run set -euo pipefail 2025-12-04T08:12:53.5004168Z set -euo pipefail 2025-12-04T08:12:53.5004461Z function get_ec2_metadata() { 2025-12-04T08:12:53.5004844Z  # Pulled from instance metadata endpoint for EC2 2025-12-04T08:12:53.5005478Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-12-04T08:12:53.5006045Z  category=$1 2025-12-04T08:12:53.5006408Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-12-04T08:12:53.5006841Z  runner_name_str=i-07de2232a1da967c6 2025-12-04T08:12:53.5007239Z  if [[ -f /.inarc ]]; then 2025-12-04T08:12:53.5007576Z  echo "ARC Runner, no info on ec2 metadata" 2025-12-04T08:12:53.5007966Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-12-04T08:12:53.5008446Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-12-04T08:12:53.5008884Z  else 2025-12-04T08:12:53.5009747Z  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}" 2025-12-04T08:12:53.5010675Z  fi 2025-12-04T08:12:53.5010894Z } 2025-12-04T08:12:53.5011159Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-12-04T08:12:53.5011573Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-12-04T08:12:53.5012060Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-12-04T08:12:53.5012477Z echo "system info $(uname -a)" 2025-12-04T08:12:53.5019759Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:12:53.5020134Z env: 2025-12-04T08:12:53.5020351Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:12:53.5020599Z ##[endgroup] 2025-12-04T08:12:53.5165402Z ami-id: ami-08982f1c5bf93d976 2025-12-04T08:12:53.5271841Z instance-id: i-07de2232a1da967c6 2025-12-04T08:12:53.5380904Z instance-type: c5.4xlarge 2025-12-04T08:12:53.5391478Z system info Linux ip-10-0-68-46.ec2.internal 6.1.150-174.273.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Sep 9 12:21:26 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux 2025-12-04T08:12:53.5425978Z ##[group]Run if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi 2025-12-04T08:12:53.5426474Z if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi 2025-12-04T08:12:53.5432553Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:12:53.5432938Z env: 2025-12-04T08:12:53.5433146Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:12:53.5433412Z ##[endgroup] 2025-12-04T08:12:53.5487737Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:12:53.5488690Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:12:53.5494538Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:12:53.5494941Z env: 2025-12-04T08:12:53.5495143Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:12:53.5495437Z ##[endgroup] 2025-12-04T08:12:53.5585874Z ##[group]Run if systemctl is-active --quiet docker; then 2025-12-04T08:12:53.5586316Z if systemctl is-active --quiet docker; then 2025-12-04T08:12:53.5586709Z  echo "Docker daemon is running..."; 2025-12-04T08:12:53.5587043Z else 2025-12-04T08:12:53.5587388Z  echo "Starting docker daemon..." && sudo systemctl start docker; 2025-12-04T08:12:53.5587821Z fi 2025-12-04T08:12:53.5593419Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:12:53.5593806Z env: 2025-12-04T08:12:53.5594015Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:12:53.5594280Z ##[endgroup] 2025-12-04T08:12:53.5670428Z Docker daemon is running... 2025-12-04T08:12:53.5718151Z ##[group]Run nick-fields/retry@v3.0.0 2025-12-04T08:12:53.5718447Z with: 2025-12-04T08:12:53.5718662Z shell: bash 2025-12-04T08:12:53.5719033Z timeout_minutes: 5 2025-12-04T08:12:53.5719274Z max_attempts: 3 2025-12-04T08:12:53.5719498Z retry_wait_seconds: 30 2025-12-04T08:12:53.5721827Z command: AWS_ACCOUNT_ID=$(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 2025-12-04T08:12:53.5724157Z polling_interval_seconds: 1 2025-12-04T08:12:53.5724446Z warning_on_retry: true 2025-12-04T08:12:53.5724716Z continue_on_error: false 2025-12-04T08:12:53.5724956Z env: 2025-12-04T08:12:53.5725167Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:12:53.5725429Z AWS_RETRY_MODE: standard 2025-12-04T08:12:53.5725679Z AWS_MAX_ATTEMPTS: 5 2025-12-04T08:12:53.5725932Z AWS_DEFAULT_REGION: us-east-1 2025-12-04T08:12:53.5726206Z ##[endgroup] 2025-12-04T08:12:54.7229465Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T08:12:54.7230115Z Configure a credential helper to remove this warning. See 2025-12-04T08:12:54.7230794Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T08:12:54.7231188Z 2025-12-04T08:12:54.7231306Z Login Succeeded 2025-12-04T08:12:55.6556918Z Command completed after 1 attempt(s). 2025-12-04T08:12:55.6617833Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T08:12:55.6618357Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T08:12:55.6618830Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T08:12:55.6627685Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:12:55.6640262Z env: 2025-12-04T08:12:55.6640558Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:12:55.6640848Z ##[endgroup] 2025-12-04T08:12:55.6734223Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T08:12:55.6734799Z # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T08:12:55.6735227Z # shellcheck disable=SC2046 2025-12-04T08:12:55.6735567Z docker stop $(docker ps -q) || true 2025-12-04T08:12:55.6735927Z # Prune all of the docker images 2025-12-04T08:12:55.6736378Z docker system prune -af 2025-12-04T08:12:55.6742940Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:12:55.6743532Z env: 2025-12-04T08:12:55.6743850Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:12:55.6744279Z ##[endgroup] 2025-12-04T08:12:55.7160740Z "docker stop" requires at least 1 argument. 2025-12-04T08:12:55.7161132Z See 'docker stop --help'. 2025-12-04T08:12:55.7161329Z 2025-12-04T08:12:55.7161501Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-12-04T08:12:55.7161773Z 2025-12-04T08:12:55.7161882Z Stop one or more running containers 2025-12-04T08:12:55.7460653Z Total reclaimed space: 0B 2025-12-04T08:12:55.7652933Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-12-04T08:12:55.7653427Z with: 2025-12-04T08:12:55.7654164Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:12:55.7654999Z use-custom-docker-registry: true 2025-12-04T08:12:55.7655315Z docker-build-dir: .ci/docker 2025-12-04T08:12:55.7655615Z docker-build-script: ./build.sh 2025-12-04T08:12:55.7655900Z working-directory: . 2025-12-04T08:12:55.7656249Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:12:55.7656649Z force-push: false 2025-12-04T08:12:55.7656868Z env: 2025-12-04T08:12:55.7657224Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:12:55.7657491Z ##[endgroup] 2025-12-04T08:12:55.7682110Z ##[group]Run set -ex 2025-12-04T08:12:55.7682418Z set -ex 2025-12-04T08:12:55.7682643Z  2025-12-04T08:12:55.7683080Z # If the docker build directory or the build script doesn't exist, the action will 2025-12-04T08:12:55.7683757Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-12-04T08:12:55.7684335Z # job could then download the pre-built image as usual 2025-12-04T08:12:55.7685034Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-12-04T08:12:55.7685677Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-12-04T08:12:55.7686011Z else 2025-12-04T08:12:55.7686278Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-12-04T08:12:55.7686733Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:12:55.7687145Z  2025-12-04T08:12:55.7687706Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-12-04T08:12:55.7688358Z  exit 0 2025-12-04T08:12:55.7688565Z fi 2025-12-04T08:12:55.7688774Z  2025-12-04T08:12:55.7689113Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-12-04T08:12:55.7689722Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-12-04T08:12:55.7690249Z  # use it as it is, but first let's extract the tag 2025-12-04T08:12:55.7690732Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-12-04T08:12:55.7691246Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:12:55.7691729Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:12:55.7692199Z else 2025-12-04T08:12:55.7692545Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-12-04T08:12:55.7693093Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-12-04T08:12:55.7693488Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-12-04T08:12:55.7693836Z  fi 2025-12-04T08:12:55.7694295Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-12-04T08:12:55.7694900Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:12:55.7695551Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:12:55.7696268Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:12:55.7696702Z fi 2025-12-04T08:12:55.7703274Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:12:55.7703660Z env: 2025-12-04T08:12:55.7703890Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:12:55.7704150Z REPO_NAME: pytorch 2025-12-04T08:12:55.7705077Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:12:55.7705912Z DOCKER_BUILD_DIR: .ci/docker 2025-12-04T08:12:55.7706211Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-12-04T08:12:55.7706587Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:12:55.7706998Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-12-04T08:12:55.7707294Z CUSTOM_TAG_PREFIX: 2025-12-04T08:12:55.7707526Z ##[endgroup] 2025-12-04T08:12:55.7732913Z + [[ -d .ci/docker ]] 2025-12-04T08:12:55.7733229Z + [[ -f .ci/docker/./build.sh ]] 2025-12-04T08:12:55.7733516Z + [[ true == \t\r\u\e ]] 2025-12-04T08:12:55.7733778Z + echo skip=false 2025-12-04T08:12:55.7734805Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a == *\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* ]] 2025-12-04T08:12:55.7740070Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:12:55.7740839Z ++ awk -F '[:,]' '{print $2}' 2025-12-04T08:12:55.7829640Z + DOCKER_TAG=pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:12:55.7830560Z + echo docker-tag=pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:12:55.7832097Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:12:55.7870941Z ##[group]Run set +e 2025-12-04T08:12:55.7871255Z set +e 2025-12-04T08:12:55.7871476Z set -x 2025-12-04T08:12:55.7871702Z  2025-12-04T08:12:55.7871917Z login() { 2025-12-04T08:12:55.7872402Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-12-04T08:12:55.7873139Z } 2025-12-04T08:12:55.7873406Z  2025-12-04T08:12:55.7873728Z retry () { 2025-12-04T08:12:55.7874004Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-12-04T08:12:55.7874328Z } 2025-12-04T08:12:55.7874529Z  2025-12-04T08:12:55.7874764Z retry login "${DOCKER_REGISTRY}" 2025-12-04T08:12:55.7875074Z  2025-12-04T08:12:55.7875292Z START_TIME=$(date +%s) 2025-12-04T08:12:55.7875573Z # Wait up to 120 minutes 2025-12-04T08:12:55.7875939Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-12-04T08:12:55.7876439Z  # Check if image already exists, if it does then skip building it 2025-12-04T08:12:55.7876927Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-12-04T08:12:55.7877293Z  exit 0 2025-12-04T08:12:55.7877605Z  fi 2025-12-04T08:12:55.7877936Z  2025-12-04T08:12:55.7878602Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-12-04T08:12:55.7879692Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-12-04T08:12:55.7880594Z  # latter, it will wait for the Docker images to become available before continuing 2025-12-04T08:12:55.7881371Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-12-04T08:12:55.7881782Z  # It's a Docker build job, let's build the image 2025-12-04T08:12:55.7882134Z  break 2025-12-04T08:12:55.7882369Z  else 2025-12-04T08:12:55.7882700Z  # It's a regular build job, wait for the image to become available 2025-12-04T08:12:55.7883126Z  sleep 300 2025-12-04T08:12:55.7883377Z  fi 2025-12-04T08:12:55.7883581Z done 2025-12-04T08:12:55.7883801Z  2025-12-04T08:12:55.7884155Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-12-04T08:12:55.7884725Z # be empty. The default action would be to continue rebuild the image 2025-12-04T08:12:55.7885408Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-12-04T08:12:55.7885880Z  # if we're on the base branch then use the parent commit 2025-12-04T08:12:55.7886294Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-12-04T08:12:55.7886604Z else 2025-12-04T08:12:55.7886937Z  # otherwise we're on a PR, so use the most recent base commit 2025-12-04T08:12:55.7887422Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-12-04T08:12:55.7887780Z fi 2025-12-04T08:12:55.7887993Z  2025-12-04T08:12:55.7888230Z if [[ -z "${MERGE_BASE}" ]]; then 2025-12-04T08:12:55.7888595Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-12-04T08:12:55.7889015Z  2025-12-04T08:12:55.7889483Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-12-04T08:12:55.7890081Z  exit 0 2025-12-04T08:12:55.7890427Z fi 2025-12-04T08:12:55.7890765Z  2025-12-04T08:12:55.7891295Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-12-04T08:12:55.7892414Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-12-04T08:12:55.7893003Z  exit 1 2025-12-04T08:12:55.7893294Z fi 2025-12-04T08:12:55.7893643Z  2025-12-04T08:12:55.7894031Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-12-04T08:12:55.7894700Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-12-04T08:12:55.7895460Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-12-04T08:12:55.7896166Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-12-04T08:12:55.7897040Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-12-04T08:12:55.7897502Z fi 2025-12-04T08:12:55.7897714Z  2025-12-04T08:12:55.7897962Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-12-04T08:12:55.7904636Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:12:55.7905021Z env: 2025-12-04T08:12:55.7905237Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:12:55.7905505Z DOCKER_BUILD_DIR: .ci/docker 2025-12-04T08:12:55.7905854Z BASE_REVISION: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:12:55.7906721Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:12:55.7907991Z DOCKER_TAG: pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:12:55.7909093Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:12:55.7909794Z DOCKER_PUSH: 2025-12-04T08:12:55.7910095Z ##[endgroup] 2025-12-04T08:12:55.7935194Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:12:55.7935647Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:12:55.7937990Z + aws ecr get-login-password --region us-east-1 2025-12-04T08:12:55.7939216Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:12:56.3443343Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T08:12:56.3443981Z Configure a credential helper to remove this warning. See 2025-12-04T08:12:56.3444674Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T08:12:56.3445130Z 2025-12-04T08:12:56.3445241Z Login Succeeded 2025-12-04T08:12:56.3459233Z ++ date +%s 2025-12-04T08:12:56.3468839Z + START_TIME=1764835976 2025-12-04T08:12:56.3471865Z ++ date +%s 2025-12-04T08:12:56.3482175Z + [[ 1764828776 -lt 1764835976 ]] 2025-12-04T08:12:56.3483633Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:12:56.5594314Z { 2025-12-04T08:12:56.5594645Z "schemaVersion": 2, 2025-12-04T08:12:56.5595082Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-12-04T08:12:56.5595518Z "config": { 2025-12-04T08:12:56.5595851Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-12-04T08:12:56.5596265Z "size": 33413, 2025-12-04T08:12:56.5596681Z "digest": "sha256:69f02fcb9ffc1a94e0c51f7917aedd922212debbe0601e2ef7c572ae8f5526ce" 2025-12-04T08:12:56.5597167Z }, 2025-12-04T08:12:56.5597367Z "layers": [ 2025-12-04T08:12:56.5597638Z { 2025-12-04T08:12:56.5597963Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:12:56.5598684Z "size": 30447951, 2025-12-04T08:12:56.5599098Z "digest": "sha256:63e5bc7682b85ae57a1221210f64d62e7a90b0a30f19af4ca734b8242ae49d63" 2025-12-04T08:12:56.5599580Z }, 2025-12-04T08:12:56.5599772Z { 2025-12-04T08:12:56.5600101Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:12:56.5600503Z "size": 1554, 2025-12-04T08:12:56.5600912Z "digest": "sha256:5a99dbbe8953b98a275ccd76f20c04b5d2387541c0d2dbd278c2e970e2d1a544" 2025-12-04T08:12:56.5601382Z }, 2025-12-04T08:12:56.5601560Z { 2025-12-04T08:12:56.5601882Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:12:56.5602299Z "size": 344035409, 2025-12-04T08:12:56.5602725Z "digest": "sha256:90c4def1b127e89551f53ffc03e3fb690322be91cbbbd9228f0e58b3368ae751" 2025-12-04T08:12:56.5603200Z }, 2025-12-04T08:12:56.5603390Z { 2025-12-04T08:12:56.5603698Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:12:56.5604119Z "size": 787, 2025-12-04T08:12:56.5604524Z "digest": "sha256:a2c983655925cbf16e58fa082f4f2f690da7272cd44bc582f4710e3c9b894894" 2025-12-04T08:12:56.5604991Z }, 2025-12-04T08:12:56.5605168Z { 2025-12-04T08:12:56.5605490Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:12:56.5605904Z "size": 63270271, 2025-12-04T08:12:56.5606314Z "digest": "sha256:bd3db159a6ab51a08c169d6a04b3a3ed18df7cdb4c6074d7671dc718590a5db6" 2025-12-04T08:12:56.5606788Z }, 2025-12-04T08:12:56.5606976Z { 2025-12-04T08:12:56.5607279Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:12:56.5607696Z "size": 703, 2025-12-04T08:12:56.5608110Z "digest": "sha256:7a10eaeace607864f58a0898cdb041f5bafd1e62ecb54bd89a23b6de1ba85866" 2025-12-04T08:12:56.5608577Z }, 2025-12-04T08:12:56.5608767Z { 2025-12-04T08:12:56.5609084Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:12:56.5609481Z "size": 1216, 2025-12-04T08:12:56.5609886Z "digest": "sha256:1247d3ca91127ff24e2b4c91857d495ecb307410a28856273c712afe5a452387" 2025-12-04T08:12:56.5610347Z }, 2025-12-04T08:12:56.5610539Z { 2025-12-04T08:12:56.5611000Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:12:56.5611641Z "size": 485, 2025-12-04T08:12:56.5612084Z "digest": "sha256:20dc7ae2d07ad2babfb4d49e44a8ffca93e3d8311393202c12e5fa7cc1556b89" 2025-12-04T08:12:56.5612550Z }, 2025-12-04T08:12:56.5612737Z { 2025-12-04T08:12:56.5613054Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:12:56.5613452Z "size": 110, 2025-12-04T08:12:56.5613844Z "digest": "sha256:d9645507175387b884b9b260763486dd37b5395d527737b655ae690a12bbf112" 2025-12-04T08:12:56.5614300Z }, 2025-12-04T08:12:56.5614476Z { 2025-12-04T08:12:56.5614795Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:12:56.5615205Z "size": 4961, 2025-12-04T08:12:56.5615592Z "digest": "sha256:5ff6957a629c92d26e49fd6a55e6987cd79743446486c2b48aae36942f599e2d" 2025-12-04T08:12:56.5616064Z }, 2025-12-04T08:12:56.5616249Z { 2025-12-04T08:12:56.5616566Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:12:56.5617131Z "size": 1756, 2025-12-04T08:12:56.5617540Z "digest": "sha256:7428d586b9d2bcdd2c1967378819eb99c62b9dbb1d8e618234a2ad83f57c3992" 2025-12-04T08:12:56.5618010Z }, 2025-12-04T08:12:56.5618187Z { 2025-12-04T08:12:56.5618506Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:12:56.5618920Z "size": 724, 2025-12-04T08:12:56.5619309Z "digest": "sha256:62f866d38c3ad10a2fd6434521b1485551cce4045c61b5af80cdc631c6800bd0" 2025-12-04T08:12:56.5619775Z }, 2025-12-04T08:12:56.5619968Z { 2025-12-04T08:12:56.5620245Z + exit 0 2025-12-04T08:12:56.5620580Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:12:56.5620991Z "size": 543, 2025-12-04T08:12:56.5621387Z "digest": "sha256:5b976bbaf127910336aca008c80d5639d65820f1c923ab812e38098e200178d3" 2025-12-04T08:12:56.5621909Z }, 2025-12-04T08:12:56.5622093Z { 2025-12-04T08:12:56.5622411Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:12:56.5622822Z "size": 3471336754, 2025-12-04T08:12:56.5623255Z "digest": "sha256:67fdd8a2cae7ccddc016cb6871b9dc2f8ddcd033af94ff1617527fc885fade23" 2025-12-04T08:12:56.5623739Z }, 2025-12-04T08:12:56.5623915Z { 2025-12-04T08:12:56.5624239Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:12:56.5624656Z "size": 32, 2025-12-04T08:12:56.5625049Z "digest": 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"sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:12:56.5725133Z }, 2025-12-04T08:12:56.5725322Z { 2025-12-04T08:12:56.5725645Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:12:56.5726048Z "size": 188, 2025-12-04T08:12:56.5726454Z "digest": "sha256:2aa7833ad57a051b1d201321d48fe55631f450a15fc74abf9986052cd3ac08b0" 2025-12-04T08:12:56.5726924Z }, 2025-12-04T08:12:56.5727099Z { 2025-12-04T08:12:56.5727418Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:12:56.5727830Z "size": 1369, 2025-12-04T08:12:56.5728227Z "digest": "sha256:c7fb1cba105aa996600038a148e22e012f8cfdbe6262a0e4f29b292411a9f28d" 2025-12-04T08:12:56.5728700Z }, 2025-12-04T08:12:56.5728887Z { 2025-12-04T08:12:56.5729196Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:12:56.5729606Z "size": 32, 2025-12-04T08:12:56.5730010Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:12:56.5730484Z }, 2025-12-04T08:12:56.5730663Z { 2025-12-04T08:12:56.5730984Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:12:56.5731398Z "size": 136, 2025-12-04T08:12:56.5731798Z "digest": "sha256:1e2bc289f2f0c931974d1a4e2366c73ed62ff4ae40ecbf606d6e2f99e447697d" 2025-12-04T08:12:56.5732274Z }, 2025-12-04T08:12:56.5732459Z { 2025-12-04T08:12:56.5732763Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:12:56.5733176Z "size": 528, 2025-12-04T08:12:56.5733572Z "digest": "sha256:81b4829c81a352184a4a03157b023d5e920bdee109fb3e4754245eb6050ae80b" 2025-12-04T08:12:56.5734024Z }, 2025-12-04T08:12:56.5734216Z { 2025-12-04T08:12:56.5734534Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:12:56.5734939Z "size": 32, 2025-12-04T08:12:56.5735343Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:12:56.5735818Z }, 2025-12-04T08:12:56.5736009Z { 2025-12-04T08:12:56.5736318Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:12:56.5736736Z "size": 104, 2025-12-04T08:12:56.5737135Z "digest": "sha256:c370919b79531b4f67212be8d40f56a487dbb868a24182a3fc71a32b484497cc" 2025-12-04T08:12:56.5737590Z }, 2025-12-04T08:12:56.5737784Z { 2025-12-04T08:12:56.5738109Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:12:56.5738507Z "size": 435, 2025-12-04T08:12:56.5738912Z "digest": "sha256:a2b6cf5acc8f87e4891d2f2bbb844875b03994c0ac0f0652ac9ccdc18abfca1a" 2025-12-04T08:12:56.5739386Z }, 2025-12-04T08:12:56.5739562Z { 2025-12-04T08:12:56.5739879Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:12:56.5740292Z "size": 32, 2025-12-04T08:12:56.5740694Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:12:56.5741157Z }, 2025-12-04T08:12:56.5741344Z { 2025-12-04T08:12:56.5741663Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:12:56.5742068Z "size": 109, 2025-12-04T08:12:56.5742472Z "digest": "sha256:aae7fb386890d03ea4e3451e6a25a64dc7da2f5a32d44f58c1346c528ee81f7e" 2025-12-04T08:12:56.5742948Z }, 2025-12-04T08:12:56.5743124Z { 2025-12-04T08:12:56.5743523Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:12:56.5743938Z "size": 1897, 2025-12-04T08:12:56.5744334Z "digest": "sha256:405bd83d0433e3995d46a2f4ade2dfccd8059a1776d38a8c585f63c6ebb46a23" 2025-12-04T08:12:56.5744805Z }, 2025-12-04T08:12:56.5744994Z { 2025-12-04T08:12:56.5745301Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:12:56.5745721Z "size": 245555913, 2025-12-04T08:12:56.5746129Z "digest": "sha256:8e062890815855fb121e663c007ce378e2777b3222e870ddea510837173f5047" 2025-12-04T08:12:56.5746593Z }, 2025-12-04T08:12:56.5746769Z { 2025-12-04T08:12:56.5747091Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:12:56.5747589Z "size": 106, 2025-12-04T08:12:56.5747986Z "digest": "sha256:7e536259fa1f5e6dc831578623288bba3ae0e8cdabcdeb31ffce710427bcd74a" 2025-12-04T08:12:56.5748462Z }, 2025-12-04T08:12:56.5748654Z { 2025-12-04T08:12:56.5748969Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:12:56.5749388Z "size": 163, 2025-12-04T08:12:56.5749789Z "digest": "sha256:a50b5c3201628a2e5168dd113072e4ad7910b525ad37a4bad84a3fc8ef0cace8" 2025-12-04T08:12:56.5750242Z }, 2025-12-04T08:12:56.5750427Z { 2025-12-04T08:12:56.5750743Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:12:56.5751143Z "size": 7943, 2025-12-04T08:12:56.5751540Z "digest": "sha256:0b09c1642c91f861ea31ad593fa469d75e087a2699815e107fc46769e34053bf" 2025-12-04T08:12:56.5751999Z }, 2025-12-04T08:12:56.5752186Z { 2025-12-04T08:12:56.5752491Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:12:56.5752902Z "size": 8076, 2025-12-04T08:12:56.5753320Z "digest": "sha256:503ffad700cd5a9a93c9be88bd3f6d4503310901dfc70426bdfdf65387ad6d63" 2025-12-04T08:12:56.5753782Z }, 2025-12-04T08:12:56.5753968Z { 2025-12-04T08:12:56.5754287Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:12:56.5754695Z "size": 304, 2025-12-04T08:12:56.5755099Z "digest": "sha256:dde1ddfc4205843dd27c91352615ecea55171855353ba8f5560ea44cb0fcf96e" 2025-12-04T08:12:56.5755566Z }, 2025-12-04T08:12:56.5755740Z { 2025-12-04T08:12:56.5756056Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:12:56.5756465Z "size": 32, 2025-12-04T08:12:56.5756865Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:12:56.5757325Z }, 2025-12-04T08:12:56.5757595Z { 2025-12-04T08:12:56.5757922Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:12:56.5758324Z "size": 108, 2025-12-04T08:12:56.5758740Z "digest": "sha256:6fff2372e67ace6de2b21466935ee78fac9e9dd0cee42b76358e95bebabd0f28" 2025-12-04T08:12:56.5759226Z }, 2025-12-04T08:12:56.5759405Z { 2025-12-04T08:12:56.5759728Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:12:56.5760143Z "size": 54145663, 2025-12-04T08:12:56.5760562Z "digest": "sha256:c0c4cfd870fe00cba36ec33eb43b009ac6e0992482ec8df5b4db20c340f7b685" 2025-12-04T08:12:56.5761047Z }, 2025-12-04T08:12:56.5761239Z { 2025-12-04T08:12:56.5761551Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:12:56.5761962Z "size": 32, 2025-12-04T08:12:56.5762361Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:12:56.5762833Z } 2025-12-04T08:12:56.5763010Z ] 2025-12-04T08:12:56.5763194Z } 2025-12-04T08:12:56.5798394Z ##[group]Run set -eux 2025-12-04T08:12:56.5798677Z set -eux 2025-12-04T08:12:56.5799082Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have 2025-12-04T08:12:56.5800256Z 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 || true 2025-12-04T08:12:56.5806950Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:12:56.5807336Z env: 2025-12-04T08:12:56.5807541Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:12:56.5807805Z ##[endgroup] 2025-12-04T08:12:56.5834650Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-12-04T08:12:56.5835597Z + jq --raw-output .SecretString 2025-12-04T08:12:56.5836552Z + jq -r .docker_hub_readonly_token 2025-12-04T08:12:56.5838057Z + docker login --username pytorchbot --password-stdin 2025-12-04T08:12:57.1552468Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T08:12:57.1553124Z Configure a credential helper to remove this warning. See 2025-12-04T08:12:57.1553856Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T08:12:57.1554569Z 2025-12-04T08:12:57.1554663Z Login Succeeded 2025-12-04T08:12:57.1646089Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-12-04T08:12:57.1646479Z tag=${ECR_DOCKER_IMAGE##*:} 2025-12-04T08:12:57.1646886Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-12-04T08:12:57.1653735Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:12:57.1654116Z env: 2025-12-04T08:12:57.1654336Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:12:57.1655116Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:12:57.1655907Z ##[endgroup] 2025-12-04T08:12:57.1683108Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:12:57.1737960Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-12-04T08:12:57.1738403Z with: 2025-12-04T08:12:57.1739114Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:12:57.1740010Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:12:57.1740404Z env: 2025-12-04T08:12:57.1740603Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:12:57.1740865Z ##[endgroup] 2025-12-04T08:12:57.1765554Z ##[group]Run set -x 2025-12-04T08:12:57.1765827Z set -x 2025-12-04T08:12:57.1766043Z set +e 2025-12-04T08:12:57.1766263Z  2025-12-04T08:12:57.1766474Z login() { 2025-12-04T08:12:57.1766937Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-12-04T08:12:57.1767468Z } 2025-12-04T08:12:57.1767676Z  2025-12-04T08:12:57.1767923Z retry () { 2025-12-04T08:12:57.1768185Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-12-04T08:12:57.1768520Z } 2025-12-04T08:12:57.1768735Z  2025-12-04T08:12:57.1768969Z retry login "${DOCKER_REGISTRY}" 2025-12-04T08:12:57.1769266Z  2025-12-04T08:12:57.1769755Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-12-04T08:12:57.1770432Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-12-04T08:12:57.1770798Z  2025-12-04T08:12:57.1771004Z set -e 2025-12-04T08:12:57.1771346Z # ignore output since only exit code is used for conditional 2025-12-04T08:12:57.1771843Z # only pull docker image if it's not available locally 2025-12-04T08:12:57.1772381Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-12-04T08:12:57.1773105Z  retry docker pull "${DOCKER_IMAGE}" 2025-12-04T08:12:57.1773429Z fi 2025-12-04T08:12:57.1778994Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:12:57.1779384Z env: 2025-12-04T08:12:57.1779598Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:12:57.1780354Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:12:57.1781242Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:12:57.1781629Z ##[endgroup] 2025-12-04T08:12:57.1804526Z + set +e 2025-12-04T08:12:57.1804867Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:12:57.1805422Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:12:57.1807877Z + aws ecr get-login-password --region us-east-1 2025-12-04T08:12:57.1809216Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:12:57.7006895Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T08:12:57.7007535Z Configure a credential helper to remove this warning. See 2025-12-04T08:12:57.7008463Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T08:12:57.7008856Z 2025-12-04T08:12:57.7008969Z Login Succeeded 2025-12-04T08:12:57.7026604Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:12:57.7027521Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-12-04T08:12:57.8737577Z + IMAGE_SIZE=4472.951248168945 2025-12-04T08:12:57.8737967Z Compressed size of image in MB: 4472.951248168945 2025-12-04T08:12:57.8738462Z + echo 'Compressed size of image in MB: 4472.951248168945' 2025-12-04T08:12:57.8738843Z + set -e 2025-12-04T08:12:57.8739953Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:12:57.8866788Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:12:57.8868150Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:12:58.1095778Z pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a: Pulling from pytorch/ci-image 2025-12-04T08:12:58.1097208Z 63e5bc7682b8: Pulling fs layer 2025-12-04T08:12:58.1097736Z 5a99dbbe8953: Pulling fs layer 2025-12-04T08:12:58.1098045Z 90c4def1b127: Pulling fs layer 2025-12-04T08:12:58.1098329Z a2c983655925: Pulling fs layer 2025-12-04T08:12:58.1098601Z bd3db159a6ab: Pulling fs layer 2025-12-04T08:12:58.1098888Z 7a10eaeace60: Pulling fs layer 2025-12-04T08:12:58.1099171Z 1247d3ca9112: Pulling fs layer 2025-12-04T08:12:58.1099441Z 20dc7ae2d07a: Pulling fs layer 2025-12-04T08:12:58.1099739Z d96455071753: Pulling fs layer 2025-12-04T08:12:58.1100012Z 5ff6957a629c: Pulling fs layer 2025-12-04T08:12:58.1100296Z 7428d586b9d2: Pulling fs layer 2025-12-04T08:12:58.1100574Z 62f866d38c3a: Pulling fs layer 2025-12-04T08:12:58.1100851Z 5b976bbaf127: Pulling fs layer 2025-12-04T08:12:58.1101129Z 67fdd8a2cae7: Pulling fs layer 2025-12-04T08:12:58.1101400Z 4f4fb700ef54: Pulling fs layer 2025-12-04T08:12:58.1101681Z 4aa62fab1ece: Pulling fs layer 2025-12-04T08:12:58.1101963Z f1e2075e5eb2: Pulling fs layer 2025-12-04T08:12:58.1102227Z f1a623399314: Pulling fs layer 2025-12-04T08:12:58.1102497Z 838727984164: Pulling fs layer 2025-12-04T08:12:58.1102766Z 1d774143d46c: Pulling fs layer 2025-12-04T08:12:58.1103029Z 2c9a7d58a196: Pulling fs layer 2025-12-04T08:12:58.1103307Z a1a0e4546dd0: Pulling fs layer 2025-12-04T08:12:58.1103585Z 4148c341f564: Pulling fs layer 2025-12-04T08:12:58.1108660Z b00a1cd19dae: Pulling fs layer 2025-12-04T08:12:58.1109078Z 2306d6a7c853: Pulling fs layer 2025-12-04T08:12:58.1109407Z 531e62fd7b48: Pulling fs layer 2025-12-04T08:12:58.1109778Z 342fc23bd590: Pulling fs layer 2025-12-04T08:12:58.1110094Z d2de17964c91: Pulling fs layer 2025-12-04T08:12:58.1110499Z ad40056b7301: Pulling fs layer 2025-12-04T08:12:58.1110827Z 56fadbe5a22c: Pulling fs layer 2025-12-04T08:12:58.1111095Z 67a68c3643f9: Pulling fs layer 2025-12-04T08:12:58.1111373Z 2f60a5515fca: Pulling fs layer 2025-12-04T08:12:58.1111654Z 1b3a2f08f95e: Pulling fs layer 2025-12-04T08:12:58.1111919Z d65f68344841: Pulling fs layer 2025-12-04T08:12:58.1112194Z bdc64880d54b: Pulling fs layer 2025-12-04T08:12:58.1112475Z 0ac9b4cbd8d6: Pulling fs layer 2025-12-04T08:12:58.1112749Z ff4a13fdd487: Pulling fs layer 2025-12-04T08:12:58.1113034Z f6d4514e7906: Pulling fs layer 2025-12-04T08:12:58.1113316Z 7feb58d88ec8: Pulling fs layer 2025-12-04T08:12:58.1113599Z ae946e83ad80: Pulling fs layer 2025-12-04T08:12:58.1113867Z 7ced24139d75: Pulling fs layer 2025-12-04T08:12:58.1114144Z b26641cb8af0: Pulling fs layer 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405bd83d0433: Pulling fs layer 2025-12-04T08:12:58.1119646Z 8e0628908158: Pulling fs layer 2025-12-04T08:12:58.1119925Z 7e536259fa1f: Pulling fs layer 2025-12-04T08:12:58.1120205Z a50b5c320162: Pulling fs layer 2025-12-04T08:12:58.1120468Z 0b09c1642c91: Pulling fs layer 2025-12-04T08:12:58.1120746Z 503ffad700cd: Pulling fs layer 2025-12-04T08:12:58.1121014Z 7428d586b9d2: Waiting 2025-12-04T08:12:58.1121254Z dde1ddfc4205: Pulling fs layer 2025-12-04T08:12:58.1121527Z 20dc7ae2d07a: Waiting 2025-12-04T08:12:58.1121762Z 1247d3ca9112: Waiting 2025-12-04T08:12:58.1121998Z 5b976bbaf127: Waiting 2025-12-04T08:12:58.1122224Z 7a10eaeace60: Waiting 2025-12-04T08:12:58.1122462Z 4aa62fab1ece: Waiting 2025-12-04T08:12:58.1122716Z 6fff2372e67a: Pulling fs layer 2025-12-04T08:12:58.1122987Z c0c4cfd870fe: Pulling fs layer 2025-12-04T08:12:58.1123261Z bd3db159a6ab: Waiting 2025-12-04T08:12:58.1123499Z 4f4fb700ef54: Waiting 2025-12-04T08:12:58.1123725Z f1e2075e5eb2: Waiting 2025-12-04T08:12:58.1123957Z 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2025-12-04T08:13:03.9133476Z 1e2bc289f2f0: Verifying Checksum 2025-12-04T08:13:03.9133946Z 1e2bc289f2f0: Download complete 2025-12-04T08:13:03.9935474Z 81b4829c81a3: Verifying Checksum 2025-12-04T08:13:03.9935882Z 81b4829c81a3: Download complete 2025-12-04T08:13:04.0756741Z c370919b7953: Download complete 2025-12-04T08:13:04.1978494Z a2b6cf5acc8f: Verifying Checksum 2025-12-04T08:13:04.1979063Z a2b6cf5acc8f: Download complete 2025-12-04T08:13:04.2703240Z aae7fb386890: Verifying Checksum 2025-12-04T08:13:04.2703801Z aae7fb386890: Download complete 2025-12-04T08:13:04.3587691Z 405bd83d0433: Download complete 2025-12-04T08:13:04.8279487Z d2de17964c91: Verifying Checksum 2025-12-04T08:13:04.8280036Z d2de17964c91: Download complete 2025-12-04T08:13:04.9374797Z 7e536259fa1f: Verifying Checksum 2025-12-04T08:13:04.9375183Z 7e536259fa1f: Download complete 2025-12-04T08:13:05.0262416Z a50b5c320162: Verifying Checksum 2025-12-04T08:13:05.0262884Z a50b5c320162: Download complete 2025-12-04T08:13:05.0906498Z 0b09c1642c91: Download complete 2025-12-04T08:13:05.2006120Z 503ffad700cd: Verifying Checksum 2025-12-04T08:13:05.2006715Z 503ffad700cd: Download complete 2025-12-04T08:13:05.3358175Z dde1ddfc4205: Verifying Checksum 2025-12-04T08:13:05.3358563Z dde1ddfc4205: Download complete 2025-12-04T08:13:05.4175375Z 6fff2372e67a: Verifying Checksum 2025-12-04T08:13:05.4175947Z 6fff2372e67a: Download complete 2025-12-04T08:13:06.0068337Z c0c4cfd870fe: Verifying Checksum 2025-12-04T08:13:06.0068881Z c0c4cfd870fe: Download complete 2025-12-04T08:13:06.8636780Z 8e0628908158: Download complete 2025-12-04T08:13:09.8383632Z 90c4def1b127: Pull complete 2025-12-04T08:13:09.9781211Z a2c983655925: Pull complete 2025-12-04T08:13:11.2302286Z bd3db159a6ab: Pull complete 2025-12-04T08:13:11.3548471Z 7a10eaeace60: Pull complete 2025-12-04T08:13:11.4892767Z 1247d3ca9112: Pull complete 2025-12-04T08:13:11.6127220Z 20dc7ae2d07a: Pull complete 2025-12-04T08:13:11.7379643Z d96455071753: 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b26641cb8af0: Pull complete 2025-12-04T08:14:29.7550286Z f5ffb9853afd: Pull complete 2025-12-04T08:14:29.9592342Z 85f7f5ab98a2: Pull complete 2025-12-04T08:14:30.3837925Z 61299215b0fb: Pull complete 2025-12-04T08:14:30.7943331Z 16b98c683cdf: Pull complete 2025-12-04T08:14:31.0186724Z 35c23ac6db6d: Pull complete 2025-12-04T08:14:31.4060919Z b90b01d6da43: Pull complete 2025-12-04T08:14:31.7492398Z 5aca81540cba: Pull complete 2025-12-04T08:14:31.9445038Z c8da94486492: Pull complete 2025-12-04T08:14:32.1878815Z b7e6ff1c204a: Pull complete 2025-12-04T08:14:32.5798939Z 2aa7833ad57a: Pull complete 2025-12-04T08:14:32.7995824Z c7fb1cba105a: Pull complete 2025-12-04T08:14:33.2019580Z 1e2bc289f2f0: Pull complete 2025-12-04T08:14:33.4257637Z 81b4829c81a3: Pull complete 2025-12-04T08:14:33.6097888Z c370919b7953: Pull complete 2025-12-04T08:14:33.6665762Z a2b6cf5acc8f: Pull complete 2025-12-04T08:14:33.7832282Z aae7fb386890: Pull complete 2025-12-04T08:14:33.9098419Z 405bd83d0433: Pull complete 2025-12-04T08:14:39.8869329Z 8e0628908158: Pull complete 2025-12-04T08:14:40.0989925Z 7e536259fa1f: Pull complete 2025-12-04T08:14:40.3159161Z a50b5c320162: Pull complete 2025-12-04T08:14:40.5411906Z 0b09c1642c91: Pull complete 2025-12-04T08:14:40.7653817Z 503ffad700cd: Pull complete 2025-12-04T08:14:40.9896035Z dde1ddfc4205: Pull complete 2025-12-04T08:14:41.4123499Z 6fff2372e67a: Pull complete 2025-12-04T08:14:43.0679478Z c0c4cfd870fe: Pull complete 2025-12-04T08:14:43.3805107Z Digest: sha256:44d91ac3fb28148b815d1cceb9cd39141de00f73eeb8e8813204519b10fe3c21 2025-12-04T08:14:43.4298610Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:14:43.4513492Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:14:43.4560462Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:14:43.4561935Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:14:43.4569768Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:14:43.4570160Z env: 2025-12-04T08:14:43.4570390Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:14:43.4570646Z ##[endgroup] 2025-12-04T08:14:43.4819124Z ##[group]Run pytorch/test-infra/.github/actions/setup-nvidia@main 2025-12-04T08:14:43.4819552Z with: 2025-12-04T08:14:43.4819762Z driver-version: 580.82.07 2025-12-04T08:14:43.4820175Z env: 2025-12-04T08:14:43.4820383Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:14:43.4820632Z ##[endgroup] 2025-12-04T08:14:43.4913146Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:14:43.4914077Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:14:43.4920401Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:14:43.4920784Z env: 2025-12-04T08:14:43.4920999Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:14:43.4921250Z ##[endgroup] 2025-12-04T08:14:43.5065677Z ##[group]Run set -euo pipefail 2025-12-04T08:14:43.5066012Z set -euo pipefail 2025-12-04T08:14:43.5066333Z  2025-12-04T08:14:43.5066540Z has_gpu=false 2025-12-04T08:14:43.5066794Z devices="" 2025-12-04T08:14:43.5067031Z  2025-12-04T08:14:43.5067312Z if command -v nvidia-smi >/dev/null 2>&1; then 2025-12-04T08:14:43.5067773Z  if nvidia-smi -L >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T08:14:43.5068171Z  has_gpu=true 2025-12-04T08:14:43.5068469Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T08:14:43.5068780Z  fi 2025-12-04T08:14:43.5068998Z fi 2025-12-04T08:14:43.5069205Z  2025-12-04T08:14:43.5069415Z if [ "$has_gpu" = false ]; then 2025-12-04T08:14:43.5069810Z  if ls /dev/nvidia* >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T08:14:43.5070201Z  has_gpu=true 2025-12-04T08:14:43.5070500Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T08:14:43.5070806Z  fi 2025-12-04T08:14:43.5071021Z fi 2025-12-04T08:14:43.5071234Z  2025-12-04T08:14:43.5071530Z if [ "$has_gpu" = false ] && command -v lspci >/dev/null 2>&1; then 2025-12-04T08:14:43.5072051Z  if lspci | grep -i 'nvidia' >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T08:14:43.5072479Z  has_gpu=true 2025-12-04T08:14:43.5072982Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T08:14:43.5073305Z  fi 2025-12-04T08:14:43.5073525Z fi 2025-12-04T08:14:43.5073721Z  2025-12-04T08:14:43.5074032Z printf 'HAS_NVIDIA=%s\n' "$has_gpu" >> "$GITHUB_OUTPUT" 2025-12-04T08:14:43.5074584Z printf 'DETECTED_DEVICES<> "$GITHUB_OUTPUT" 2025-12-04T08:14:43.5080740Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:14:43.5081106Z env: 2025-12-04T08:14:43.5081323Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:14:43.5081584Z ##[endgroup] 2025-12-04T08:14:43.6185945Z ##[group]Run if [ "${HAS_NVIDIA}" = "true" ]; then 2025-12-04T08:14:43.6186378Z if [ "${HAS_NVIDIA}" = "true" ]; then 2025-12-04T08:14:43.6186765Z  echo "HAS_NVIDIA_GPU=true" >> "${GITHUB_ENV}" 2025-12-04T08:14:43.6187308Z  echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}" 2025-12-04T08:14:43.6187785Z else 2025-12-04T08:14:43.6188071Z  echo "HAS_NVIDIA_GPU=false" >> "${GITHUB_ENV}" 2025-12-04T08:14:43.6188421Z fi 2025-12-04T08:14:43.6194379Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:14:43.6194762Z env: 2025-12-04T08:14:43.6194979Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:14:43.6195234Z HAS_NVIDIA: false 2025-12-04T08:14:43.6195469Z ##[endgroup] 2025-12-04T08:14:43.6281433Z Prepare all required actions 2025-12-04T08:14:43.6365891Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-12-04T08:14:43.6366250Z with: 2025-12-04T08:14:43.6366906Z github-token: *** 2025-12-04T08:14:43.6367145Z env: 2025-12-04T08:14:43.6367351Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:14:43.6367625Z HAS_NVIDIA_GPU: false 2025-12-04T08:14:43.6367880Z ##[endgroup] 2025-12-04T08:14:43.6456862Z ##[group]Run set -eux 2025-12-04T08:14:43.6457245Z set -eux 2025-12-04T08:14:43.6457687Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-12-04T08:14:43.6463914Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:14:43.6464286Z env: 2025-12-04T08:14:43.6464506Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:14:43.6464775Z HAS_NVIDIA_GPU: false 2025-12-04T08:14:43.6465189Z GITHUB_TOKEN: *** 2025-12-04T08:14:43.6465410Z ##[endgroup] 2025-12-04T08:14:43.6489518Z + python3 .github/scripts/get_workflow_job_id.py 19921726337 i-07de2232a1da967c6 2025-12-04T08:14:45.4513052Z Setting output job-id=57112645032 2025-12-04T08:14:45.4513625Z Setting output job-name=linux-jammy-py3.14-clang12 / test (default, 1, 5, linux.4xlarge) 2025-12-04T08:14:45.4640651Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-12-04T08:14:45.4641416Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-12-04T08:14:45.4642418Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-12-04T08:14:45.4643285Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:14:45.4649353Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:14:45.4649724Z env: 2025-12-04T08:14:45.4649943Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:14:45.4650219Z HAS_NVIDIA_GPU: false 2025-12-04T08:14:45.4650453Z JOB_ID: 57112645032 2025-12-04T08:14:45.4650840Z JOB_NAME: linux-jammy-py3.14-clang12 / test (default, 1, 5, linux.4xlarge) 2025-12-04T08:14:45.4651287Z WORKFLOW_NAME: pull 2025-12-04T08:14:45.4651590Z WORKFLOW_RUN_ID: 19921726337 2025-12-04T08:14:45.4651859Z MONITOR_LOG_INTERVAL: 5 2025-12-04T08:14:45.4652132Z MONITOR_DATA_COLLECT_INTERVAL: 1 2025-12-04T08:14:45.4652423Z ##[endgroup] 2025-12-04T08:14:45.7553782Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T08:14:46.1263373Z Collecting psutil==5.9.8 2025-12-04T08:14:46.1432201Z Downloading psutil-5.9.8-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (288 kB) 2025-12-04T08:14:46.2176507Z Collecting dataclasses_json==0.6.7 2025-12-04T08:14:46.2217138Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-12-04T08:14:46.2502201Z Collecting nvidia-ml-py==11.525.84 2025-12-04T08:14:46.2551862Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-12-04T08:14:46.2882622Z Collecting typing-inspect<1,>=0.4.0 2025-12-04T08:14:46.2917411Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-12-04T08:14:46.4039224Z Collecting marshmallow<4.0.0,>=3.18.0 2025-12-04T08:14:46.4076884Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-12-04T08:14:46.4643487Z Collecting packaging>=17.0 2025-12-04T08:14:46.4692465Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-12-04T08:14:46.5231134Z Collecting typing-extensions>=3.7.4 2025-12-04T08:14:46.5268138Z Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB) 2025-12-04T08:14:46.5470820Z Collecting mypy-extensions>=0.3.0 2025-12-04T08:14:46.5503931Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-12-04T08:14:46.6423446Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json 2025-12-04T08:14:46.9259972Z Successfully installed dataclasses-json-0.6.7 marshmallow-3.26.1 mypy-extensions-1.1.0 nvidia-ml-py-11.525.84 packaging-25.0 psutil-5.9.8 typing-extensions-4.15.0 typing-inspect-0.9.0 2025-12-04T08:14:47.1206283Z Prepare all required actions 2025-12-04T08:14:47.1206707Z Getting action download info 2025-12-04T08:14:47.3135603Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-12-04T08:14:47.5388616Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-12-04T08:14:47.9576792Z ##[group]Run ./.github/actions/download-build-artifacts 2025-12-04T08:14:47.9577170Z with: 2025-12-04T08:14:47.9577412Z name: linux-jammy-py3.14-clang12 2025-12-04T08:14:47.9577725Z s3-bucket: gha-artifacts 2025-12-04T08:14:47.9577973Z env: 2025-12-04T08:14:47.9578185Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:14:47.9578453Z HAS_NVIDIA_GPU: false 2025-12-04T08:14:47.9578687Z ##[endgroup] 2025-12-04T08:14:47.9615690Z ##[group]Run seemethere/download-artifact-s3@v4 2025-12-04T08:14:47.9616046Z with: 2025-12-04T08:14:47.9616278Z name: linux-jammy-py3.14-clang12 2025-12-04T08:14:47.9616638Z s3-bucket: gha-artifacts 2025-12-04T08:14:47.9616911Z region: us-east-1 2025-12-04T08:14:47.9617122Z env: 2025-12-04T08:14:47.9617339Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:14:47.9617609Z HAS_NVIDIA_GPU: false 2025-12-04T08:14:47.9617840Z ##[endgroup] 2025-12-04T08:14:48.4439552Z (node:44722) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-12-04T08:14:48.4440086Z 2025-12-04T08:14:48.4440278Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-12-04T08:14:48.4440827Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-12-04T08:14:48.4441396Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-12-04T08:14:48.7176230Z Found 1 objects with prefix pytorch/pytorch/19921726337/linux-jammy-py3.14-clang12/ 2025-12-04T08:14:48.7176957Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-12-04T08:14:57.0700136Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-12-04T08:14:57.0705599Z Artifact download has finished successfully 2025-12-04T08:14:57.0869929Z ##[group]Run unzip -o artifacts.zip 2025-12-04T08:14:57.0870266Z unzip -o artifacts.zip 2025-12-04T08:14:57.0877505Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:14:57.0878007Z env: 2025-12-04T08:14:57.0878222Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:14:57.0878491Z HAS_NVIDIA_GPU: false 2025-12-04T08:14:57.0878738Z ##[endgroup] 2025-12-04T08:14:57.1494179Z Archive: artifacts.zip 2025-12-04T08:14:57.1495202Z creating: dist/ 2025-12-04T08:14:58.2948049Z inflating: dist/torch-2.10.0a0+gitffd9b0f-cp314-cp314-linux_x86_64.whl 2025-12-04T08:14:58.3063744Z inflating: dist/.ninja_log 2025-12-04T08:14:58.3064446Z creating: build/custom_test_artifacts/ 2025-12-04T08:14:58.3064894Z 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artifacts.zip 2025-12-04T08:15:04.5265275Z rm artifacts.zip 2025-12-04T08:15:04.5272241Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:15:04.5272864Z env: 2025-12-04T08:15:04.5273072Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:15:04.5273351Z HAS_NVIDIA_GPU: false 2025-12-04T08:15:04.5273604Z ##[endgroup] 2025-12-04T08:15:04.5692457Z ##[group]Run df -H 2025-12-04T08:15:04.5692727Z df -H 2025-12-04T08:15:04.5698990Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:15:04.5699376Z env: 2025-12-04T08:15:04.5699597Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:15:04.5699871Z HAS_NVIDIA_GPU: false 2025-12-04T08:15:04.5700110Z ##[endgroup] 2025-12-04T08:15:04.5741364Z Filesystem Size Used Avail Use% Mounted on 2025-12-04T08:15:04.5741793Z devtmpfs 4.2M 0 4.2M 0% /dev 2025-12-04T08:15:04.5742144Z tmpfs 17G 0 17G 0% /dev/shm 2025-12-04T08:15:04.5742468Z tmpfs 6.6G 521k 6.6G 1% /run 2025-12-04T08:15:04.5742797Z /dev/nvme0n1p1 161G 28G 134G 18% / 2025-12-04T08:15:04.5743144Z tmpfs 17G 13k 17G 1% /tmp 2025-12-04T08:15:04.5743495Z /dev/nvme0n1p128 11M 1.4M 9.2M 13% /boot/efi 2025-12-04T08:15:04.5778509Z Prepare all required actions 2025-12-04T08:15:04.5779199Z Getting action download info 2025-12-04T08:15:04.8423656Z ##[group]Run ./.github/actions/download-td-artifacts 2025-12-04T08:15:04.8424053Z with: 2025-12-04T08:15:04.8424268Z env: 2025-12-04T08:15:04.8424475Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:15:04.8424754Z HAS_NVIDIA_GPU: false 2025-12-04T08:15:04.8425007Z ##[endgroup] 2025-12-04T08:15:04.8495011Z ##[group]Run seemethere/download-artifact-s3@v4 2025-12-04T08:15:04.8495366Z with: 2025-12-04T08:15:04.8495566Z name: td_results 2025-12-04T08:15:04.8495808Z s3-bucket: gha-artifacts 2025-12-04T08:15:04.8496085Z region: us-east-1 2025-12-04T08:15:04.8496298Z env: 2025-12-04T08:15:04.8496511Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:15:04.8496784Z HAS_NVIDIA_GPU: false 2025-12-04T08:15:04.8497029Z ##[endgroup] 2025-12-04T08:15:05.5665264Z (node:44746) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-12-04T08:15:05.5665889Z 2025-12-04T08:15:05.5666082Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-12-04T08:15:05.5666632Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-12-04T08:15:05.5667361Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-12-04T08:15:05.6558090Z Found 1 objects with prefix pytorch/pytorch/19921726337/td_results/ 2025-12-04T08:15:05.6558752Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json 2025-12-04T08:15:05.7851331Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json 2025-12-04T08:15:05.7856731Z Artifact download has finished successfully 2025-12-04T08:15:05.8008735Z ##[group]Run mkdir -p .additional_ci_files 2025-12-04T08:15:05.8009103Z mkdir -p .additional_ci_files 2025-12-04T08:15:05.8009549Z mv td_results.json .additional_ci_files/td_results.json || true 2025-12-04T08:15:05.8015692Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:15:05.8016065Z env: 2025-12-04T08:15:05.8016291Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:15:05.8016569Z HAS_NVIDIA_GPU: false 2025-12-04T08:15:05.8016813Z ##[endgroup] 2025-12-04T08:15:05.8227898Z ##[group]Run .github/scripts/parse_ref.py 2025-12-04T08:15:05.8228709Z .github/scripts/parse_ref.py 2025-12-04T08:15:05.8239948Z shell: /usr/bin/bash -e {0} 2025-12-04T08:15:05.8240522Z env: 2025-12-04T08:15:05.8240960Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:15:05.8241518Z HAS_NVIDIA_GPU: false 2025-12-04T08:15:05.8241994Z ##[endgroup] 2025-12-04T08:15:05.8622874Z Setting output branch=main 2025-12-04T08:15:05.8749227Z Prepare all required actions 2025-12-04T08:15:05.8749625Z Getting action download info 2025-12-04T08:15:06.0047627Z ##[group]Run ./.github/actions/filter-test-configs 2025-12-04T08:15:06.0047989Z with: 2025-12-04T08:15:06.0048393Z github-token: *** 2025-12-04T08:15:06.0051454Z test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "crossref", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge"}, {"config": "crossref", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "einops", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge"}, {"config": "openreg", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge"}]} 2025-12-04T08:15:06.0054703Z job-name: linux-jammy-py3.14-clang12 / test (default, 1, 5, linux.4xlarge) 2025-12-04T08:15:06.0055146Z env: 2025-12-04T08:15:06.0055344Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:15:06.0055616Z HAS_NVIDIA_GPU: false 2025-12-04T08:15:06.0055862Z ##[endgroup] 2025-12-04T08:15:06.0143475Z ##[group]Run nick-fields/retry@v3.0.0 2025-12-04T08:15:06.0143778Z with: 2025-12-04T08:15:06.0143982Z shell: bash 2025-12-04T08:15:06.0144209Z timeout_minutes: 10 2025-12-04T08:15:06.0144443Z max_attempts: 5 2025-12-04T08:15:06.0144682Z retry_wait_seconds: 30 2025-12-04T08:15:06.0145498Z 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==6.0.2 2025-12-04T08:15:06.0146349Z polling_interval_seconds: 1 2025-12-04T08:15:06.0146622Z warning_on_retry: true 2025-12-04T08:15:06.0146886Z continue_on_error: false 2025-12-04T08:15:06.0147144Z env: 2025-12-04T08:15:06.0147341Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:15:06.0147608Z HAS_NVIDIA_GPU: false 2025-12-04T08:15:06.0148027Z GITHUB_TOKEN: *** 2025-12-04T08:15:06.0148263Z ##[endgroup] 2025-12-04T08:15:06.1547257Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-12-04T08:15:06.3941943Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T08:15:06.5360675Z Collecting requests==2.27.1 2025-12-04T08:15:06.5532951Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-12-04T08:15:06.7832705Z Collecting pyyaml==6.0.2 2025-12-04T08:15:06.7875596Z Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB) 2025-12-04T08:15:06.9185278Z Collecting certifi>=2017.4.17 2025-12-04T08:15:06.9229995Z Downloading certifi-2025.11.12-py3-none-any.whl (159 kB) 2025-12-04T08:15:06.9550165Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10) 2025-12-04T08:15:06.9554303Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10) 2025-12-04T08:15:07.3627759Z Collecting charset-normalizer~=2.0.0 2025-12-04T08:15:07.3669135Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-12-04T08:15:07.4738355Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml 2025-12-04T08:15:07.7606749Z Successfully installed certifi-2025.11.12 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-12-04T08:15:08.0935709Z Command completed after 1 attempt(s). 2025-12-04T08:15:08.1081057Z ##[group]Run set -x 2025-12-04T08:15:08.1081308Z set -x 2025-12-04T08:15:08.1081534Z  2025-12-04T08:15:08.1082105Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-12-04T08:15:08.1082600Z # in runner workspace 2025-12-04T08:15:08.1082976Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-12-04T08:15:08.1089671Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:15:08.1090049Z env: 2025-12-04T08:15:08.1090255Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:15:08.1090533Z HAS_NVIDIA_GPU: false 2025-12-04T08:15:08.1090784Z ##[endgroup] 2025-12-04T08:15:08.1114777Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-12-04T08:15:08.1294816Z Setting output branch=main 2025-12-04T08:15:08.1403030Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-12-04T08:15:08.1403444Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-12-04T08:15:08.1403794Z echo "Job name: ${JOB_NAME}" 2025-12-04T08:15:08.1404136Z  2025-12-04T08:15:08.1404538Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-12-04T08:15:08.1405070Z # in runner workspace 2025-12-04T08:15:08.1405499Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-12-04T08:15:08.1405993Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-12-04T08:15:08.1406339Z  --job-name "${JOB_NAME}" \ 2025-12-04T08:15:08.1409463Z  --test-matrix "{"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "crossref", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge"}, {"config": "crossref", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "einops", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge"}, {"config": "openreg", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge"}]}" \ 2025-12-04T08:15:08.1412610Z  --selected-test-configs "" \ 2025-12-04T08:15:08.1412958Z  --pr-number "${PR_NUMBER}" \ 2025-12-04T08:15:08.1413426Z  --tag "${TAG}" \ 2025-12-04T08:15:08.1413714Z  --event-name "${EVENT_NAME}" \ 2025-12-04T08:15:08.1414049Z  --schedule "${SCHEDULE}" \ 2025-12-04T08:15:08.1414376Z  --branch "${HEAD_BRANCH}" 2025-12-04T08:15:08.1420206Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:15:08.1420598Z env: 2025-12-04T08:15:08.1420830Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:15:08.1421096Z HAS_NVIDIA_GPU: false 2025-12-04T08:15:08.1421656Z GITHUB_TOKEN: *** 2025-12-04T08:15:08.1422047Z JOB_NAME: linux-jammy-py3.14-clang12 / test (default, 1, 5, linux.4xlarge) 2025-12-04T08:15:08.1422500Z PR_NUMBER: 2025-12-04T08:15:08.1422702Z TAG: 2025-12-04T08:15:08.1422910Z EVENT_NAME: push 2025-12-04T08:15:08.1423142Z SCHEDULE: 2025-12-04T08:15:08.1423348Z HEAD_BRANCH: main 2025-12-04T08:15:08.1423580Z ##[endgroup] 2025-12-04T08:15:08.1447290Z Workflow: pull 2025-12-04T08:15:08.1447712Z Job name: linux-jammy-py3.14-clang12 / test (default, 1, 5, linux.4xlarge) 2025-12-04T08:15:08.3248401Z Setting output keep-going=True 2025-12-04T08:15:08.3248770Z Setting output ci-verbose-test-logs=False 2025-12-04T08:15:08.3249124Z Setting output ci-test-showlocals=False 2025-12-04T08:15:08.3249469Z Setting output ci-no-test-timeout=False 2025-12-04T08:15:08.3249829Z Setting output ci-no-td=False 2025-12-04T08:15:08.3250140Z Setting output ci-td-distributed=False 2025-12-04T08:15:08.3250724Z Setting output is-unstable=False 2025-12-04T08:15:08.3251029Z Setting output reenabled-issues= 2025-12-04T08:15:08.3254213Z Setting output test-matrix={"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "crossref", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge"}, {"config": "crossref", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "einops", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge"}, {"config": "openreg", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge"}]} 2025-12-04T08:15:08.3257460Z Setting output is-test-matrix-empty=False 2025-12-04T08:15:08.3538302Z ##[group]Run echo "Filtered matrix:" 2025-12-04T08:15:08.3538677Z echo "Filtered matrix:" 2025-12-04T08:15:08.3541771Z echo "{"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "crossref", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge"}, {"config": "crossref", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "einops", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge"}, {"config": "openreg", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge"}]}" 2025-12-04T08:15:08.3544890Z  2025-12-04T08:15:08.3545104Z echo 2025-12-04T08:15:08.3545372Z echo "Is the current job unstable? False" 2025-12-04T08:15:08.3545718Z  2025-12-04T08:15:08.3545929Z echo 2025-12-04T08:15:08.3546334Z echo "Is keep-going label set? True" 2025-12-04T08:15:08.3546654Z  2025-12-04T08:15:08.3546861Z echo 2025-12-04T08:15:08.3547102Z echo "Reenabled issues? " 2025-12-04T08:15:08.3553098Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:15:08.3553493Z env: 2025-12-04T08:15:08.3553717Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:15:08.3553988Z HAS_NVIDIA_GPU: false 2025-12-04T08:15:08.3554242Z ##[endgroup] 2025-12-04T08:15:08.3578802Z Filtered matrix: 2025-12-04T08:15:08.3582160Z {include: [{config: default, shard: 1, num_shards: 5, runner: linux.4xlarge}, {config: default, shard: 2, num_shards: 5, runner: linux.4xlarge}, {config: default, shard: 3, num_shards: 5, runner: linux.4xlarge}, {config: default, shard: 4, num_shards: 5, runner: linux.4xlarge}, {config: default, shard: 5, num_shards: 5, runner: linux.4xlarge}, {config: crossref, shard: 1, num_shards: 2, runner: linux.2xlarge}, {config: crossref, shard: 2, num_shards: 2, runner: linux.2xlarge}, {config: dynamo_wrapped, shard: 1, num_shards: 3, runner: linux.2xlarge}, {config: dynamo_wrapped, shard: 2, num_shards: 3, runner: linux.2xlarge}, {config: dynamo_wrapped, shard: 3, num_shards: 3, runner: linux.2xlarge}, {config: einops, shard: 1, num_shards: 1, runner: linux.2xlarge}, {config: openreg, shard: 1, num_shards: 1, runner: linux.2xlarge}]} 2025-12-04T08:15:08.3585171Z 2025-12-04T08:15:08.3585474Z Is the current job unstable? False 2025-12-04T08:15:08.3585705Z 2025-12-04T08:15:08.3585812Z Is keep-going label set? True 2025-12-04T08:15:08.3586012Z 2025-12-04T08:15:08.3586102Z Reenabled issues? 2025-12-04T08:15:08.3745541Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-12-04T08:15:08.3746080Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-12-04T08:15:08.3751986Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:15:08.3752369Z env: 2025-12-04T08:15:08.3752587Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:15:08.3752854Z HAS_NVIDIA_GPU: false 2025-12-04T08:15:08.3753121Z JOB_TIMEOUT: 240 2025-12-04T08:15:08.3753354Z ##[endgroup] 2025-12-04T08:15:08.3898140Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T08:15:08.3898673Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T08:15:08.3899139Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T08:15:08.3904506Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:15:08.3904886Z env: 2025-12-04T08:15:08.3905106Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:15:08.3905383Z HAS_NVIDIA_GPU: false 2025-12-04T08:15:08.3905618Z ##[endgroup] 2025-12-04T08:15:08.4045836Z ##[group]Run set -x 2025-12-04T08:15:08.4046178Z set -x 2025-12-04T08:15:08.4046406Z  2025-12-04T08:15:08.4046664Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-12-04T08:15:08.4047072Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-12-04T08:15:08.4047479Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-12-04T08:15:08.4047850Z  TEST_COMMAND=.ci/onnx/test.sh 2025-12-04T08:15:08.4048160Z else 2025-12-04T08:15:08.4048402Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-12-04T08:15:08.4048716Z fi 2025-12-04T08:15:08.4048928Z  2025-12-04T08:15:08.4049183Z # Leaving 1GB for the runner and other things 2025-12-04T08:15:08.4049774Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-12-04T08:15:08.4050677Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-12-04T08:15:08.4051386Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-12-04T08:15:08.4051928Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-12-04T08:15:08.4052358Z  2025-12-04T08:15:08.4052625Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-12-04T08:15:08.4053089Z  SHM_OPTS= 2025-12-04T08:15:08.4053346Z  JENKINS_USER= 2025-12-04T08:15:08.4053706Z  # ensure that docker container cleanly exits in 12 hours 2025-12-04T08:15:08.4054185Z  # if for some reason cleanup action doesn't stop container 2025-12-04T08:15:08.4054594Z  # when job is cancelled 2025-12-04T08:15:08.4054908Z  DOCKER_SHELL_CMD="sleep 12h" 2025-12-04T08:15:08.4055248Z  USED_IMAGE="${DOCKER_IMAGE_S390X}" 2025-12-04T08:15:08.4055548Z else 2025-12-04T08:15:08.4055799Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-12-04T08:15:08.4056146Z  JENKINS_USER="--user jenkins" 2025-12-04T08:15:08.4056452Z  DOCKER_SHELL_CMD= 2025-12-04T08:15:08.4056744Z  USED_IMAGE="${DOCKER_IMAGE}" 2025-12-04T08:15:08.4057042Z fi 2025-12-04T08:15:08.4057236Z  2025-12-04T08:15:08.4057577Z # detached container should get cleaned up by teardown_ec2_linux 2025-12-04T08:15:08.4058127Z # TODO: Stop building test binaries as part of the build phase 2025-12-04T08:15:08.4058753Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-12-04T08:15:08.4059287Z # shellcheck disable=SC2086,SC2090 2025-12-04T08:15:08.4059630Z container_name=$(docker run \ 2025-12-04T08:15:08.4059948Z  ${GPU_FLAG:-} \ 2025-12-04T08:15:08.4060247Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-12-04T08:15:08.4060602Z  -e BUILD_ENVIRONMENT \ 2025-12-04T08:15:08.4060923Z  -e PR_NUMBER \ 2025-12-04T08:15:08.4061190Z  -e GITHUB_ACTIONS \ 2025-12-04T08:15:08.4061489Z  -e GITHUB_REPOSITORY \ 2025-12-04T08:15:08.4061793Z  -e GITHUB_WORKFLOW \ 2025-12-04T08:15:08.4062084Z  -e GITHUB_JOB \ 2025-12-04T08:15:08.4062347Z  -e GITHUB_RUN_ID \ 2025-12-04T08:15:08.4062641Z  -e GITHUB_RUN_NUMBER \ 2025-12-04T08:15:08.4062948Z  -e GITHUB_RUN_ATTEMPT \ 2025-12-04T08:15:08.4063238Z  -e JOB_ID \ 2025-12-04T08:15:08.4063494Z  -e JOB_NAME \ 2025-12-04T08:15:08.4063761Z  -e BASE_SHA \ 2025-12-04T08:15:08.4064010Z  -e BRANCH \ 2025-12-04T08:15:08.4064267Z  -e SHA1 \ 2025-12-04T08:15:08.4064527Z  -e AWS_DEFAULT_REGION \ 2025-12-04T08:15:08.4064818Z  -e IN_WHEEL_TEST \ 2025-12-04T08:15:08.4065103Z  -e SHARD_NUMBER \ 2025-12-04T08:15:08.4065382Z  -e TEST_CONFIG \ 2025-12-04T08:15:08.4065661Z  -e NUM_TEST_SHARDS \ 2025-12-04T08:15:08.4066055Z  -e REENABLED_ISSUES \ 2025-12-04T08:15:08.4066460Z  -e CONTINUE_THROUGH_ERROR \ 2025-12-04T08:15:08.4066913Z  -e VERBOSE_TEST_LOGS \ 2025-12-04T08:15:08.4067254Z  -e TEST_SHOWLOCALS \ 2025-12-04T08:15:08.4067549Z  -e NO_TEST_TIMEOUT \ 2025-12-04T08:15:08.4067837Z  -e NO_TD \ 2025-12-04T08:15:08.4068179Z  -e TD_DISTRIBUTED \ 2025-12-04T08:15:08.4068543Z  -e PR_LABELS \ 2025-12-04T08:15:08.4068844Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-12-04T08:15:08.4069181Z  -e SCCACHE_BUCKET \ 2025-12-04T08:15:08.4069454Z  -e SCCACHE_REGION \ 2025-12-04T08:15:08.4069730Z  -e XLA_CUDA \ 2025-12-04T08:15:08.4070019Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-12-04T08:15:08.4070371Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-12-04T08:15:08.4070746Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-12-04T08:15:08.4071125Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-12-04T08:15:08.4071460Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-12-04T08:15:08.4071796Z  -e VLLM_TEST_HUGGING_FACE_TOKEN \ 2025-12-04T08:15:08.4072151Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-12-04T08:15:08.4072484Z  -e DASHBOARD_TAG \ 2025-12-04T08:15:08.4073095Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-12-04T08:15:08.4073466Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-12-04T08:15:08.4073888Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-12-04T08:15:08.4074299Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-12-04T08:15:08.4074702Z  --security-opt seccomp=unconfined \ 2025-12-04T08:15:08.4075049Z  --cap-add=SYS_PTRACE \ 2025-12-04T08:15:08.4075347Z  --ipc=host \ 2025-12-04T08:15:08.4075596Z  ${SHM_OPTS} \ 2025-12-04T08:15:08.4075849Z  --tty \ 2025-12-04T08:15:08.4076091Z  --detach \ 2025-12-04T08:15:08.4076351Z  --name="${container_name}" \ 2025-12-04T08:15:08.4076670Z  ${JENKINS_USER} \ 2025-12-04T08:15:08.4077024Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-12-04T08:15:08.4077421Z  -w /var/lib/jenkins/workspace \ 2025-12-04T08:15:08.4077819Z  "${USED_IMAGE}" \ 2025-12-04T08:15:08.4078104Z  ${DOCKER_SHELL_CMD} 2025-12-04T08:15:08.4078368Z ) 2025-12-04T08:15:08.4078710Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-12-04T08:15:08.4079132Z  2025-12-04T08:15:08.4079406Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-12-04T08:15:08.4079984Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-12-04T08:15:08.4080511Z fi 2025-12-04T08:15:08.4080721Z  2025-12-04T08:15:08.4081214Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-12-04T08:15:08.4086920Z shell: /usr/bin/bash -e {0} 2025-12-04T08:15:08.4087197Z env: 2025-12-04T08:15:08.4087415Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:15:08.4087675Z HAS_NVIDIA_GPU: false 2025-12-04T08:15:08.4087974Z BUILD_ENVIRONMENT: linux-jammy-py3.14-clang12 2025-12-04T08:15:08.4088321Z PR_NUMBER: 2025-12-04T08:15:08.4088555Z GITHUB_REPOSITORY: pytorch/pytorch 2025-12-04T08:15:08.4088863Z GITHUB_WORKFLOW: pull 2025-12-04T08:15:08.4089110Z GITHUB_JOB: test 2025-12-04T08:15:08.4089333Z GITHUB_RUN_ID: 19921726337 2025-12-04T08:15:08.4089607Z GITHUB_RUN_NUMBER: 384157 2025-12-04T08:15:08.4089876Z GITHUB_RUN_ATTEMPT: 1 2025-12-04T08:15:08.4090108Z JOB_ID: 57112645032 2025-12-04T08:15:08.4090487Z JOB_NAME: linux-jammy-py3.14-clang12 / test (default, 1, 5, linux.4xlarge) 2025-12-04T08:15:08.4090930Z BRANCH: main 2025-12-04T08:15:08.4091191Z SHA1: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:15:08.4091695Z BASE_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:15:08.4092047Z TEST_CONFIG: default 2025-12-04T08:15:08.4092294Z SHARD_NUMBER: 1 2025-12-04T08:15:08.4092516Z NUM_TEST_SHARDS: 5 2025-12-04T08:15:08.4092760Z EXTRA_FLAGS: 2025-12-04T08:15:08.4092996Z OP_BENCHMARK_TESTS: 2025-12-04T08:15:08.4093239Z REENABLED_ISSUES: 2025-12-04T08:15:08.4093494Z CONTINUE_THROUGH_ERROR: True 2025-12-04T08:15:08.4093778Z VERBOSE_TEST_LOGS: False 2025-12-04T08:15:08.4094036Z TEST_SHOWLOCALS: False 2025-12-04T08:15:08.4094298Z NO_TEST_TIMEOUT: False 2025-12-04T08:15:08.4094544Z NO_TD: False 2025-12-04T08:15:08.4094759Z TD_DISTRIBUTED: False 2025-12-04T08:15:08.4095070Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-12-04T08:15:08.4095433Z SCCACHE_REGION: us-east-1 2025-12-04T08:15:08.4095697Z SHM_SIZE: 1g 2025-12-04T08:15:08.4096402Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:15:08.4097705Z DOCKER_IMAGE_S390X: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:15:08.4098512Z XLA_CUDA: 2025-12-04T08:15:08.4098874Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-12-04T08:15:08.4099402Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-12-04T08:15:08.4099730Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2025-12-04T08:15:08.4100041Z DASHBOARD_TAG: 2025-12-04T08:15:08.4100487Z VLLM_TEST_HUGGING_FACE_TOKEN: *** 2025-12-04T08:15:08.4100888Z HUGGING_FACE_HUB_TOKEN: *** 2025-12-04T08:15:08.4101307Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-12-04T08:15:08.4101720Z ARTIFACTS_FILE_SUFFIX: test-default-1-5-linux.4xlarge_57112645032 2025-12-04T08:15:08.4102144Z ##[endgroup] 2025-12-04T08:15:08.4124870Z + [[ default == \m\u\l\t\i\g\p\u ]] 2025-12-04T08:15:08.4125233Z + [[ linux-jammy-py3.14-clang12 == *onnx* ]] 2025-12-04T08:15:08.4125569Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-12-04T08:15:08.4128102Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-12-04T08:15:08.4147943Z + TOTAL_AVAILABLE_MEMORY_IN_GB='29.641 ' 2025-12-04T08:15:08.4148306Z + TOTAL_MEMORY_WITH_SWAP=32 2025-12-04T08:15:08.4148615Z + [[ linux-jammy-py3.14-clang12 == *\s\3\9\0\x* ]] 2025-12-04T08:15:08.4148973Z + SHM_OPTS=--shm-size=1g 2025-12-04T08:15:08.4149241Z + JENKINS_USER='--user jenkins' 2025-12-04T08:15:08.4149512Z + DOCKER_SHELL_CMD= 2025-12-04T08:15:08.4150230Z + USED_IMAGE=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:15:08.4156592Z +++ nproc --ignore=2 2025-12-04T08:15:08.4322935Z ++ 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=14 -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 VLLM_TEST_HUGGING_FACE_TOKEN -e SCRIBE_GRAPHQL_ACCESS_TOKEN -e DASHBOARD_TAG -e ARTIFACTS_FILE_SUFFIX --memory=29g --memory-swap=32g --env-file=/tmp/github_env_19921726337 --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/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:15:24.4093086Z + container_name=a6711748982cea0ed79a4ec67a77a511dc6690f3267afe70b4118ea07e9b0342 2025-12-04T08:15:24.4094367Z + echo DOCKER_CONTAINER_ID=a6711748982cea0ed79a4ec67a77a511dc6690f3267afe70b4118ea07e9b0342 2025-12-04T08:15:24.4095446Z + [[ linux-jammy-py3.14-clang12 == *\s\3\9\0\x* ]] 2025-12-04T08:15:24.4100412Z ++ echo dist/torch-2.10.0a0+gitffd9b0f-cp314-cp314-linux_x86_64.whl 2025-12-04T08:15:24.4102972Z + docker exec -t a6711748982cea0ed79a4ec67a77a511dc6690f3267afe70b4118ea07e9b0342 sh -c 'python3 -m pip install dist/torch-2.10.0a0+gitffd9b0f-cp314-cp314-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-12-04T08:15:24.9393183Z Processing ./dist/torch-2.10.0a0+gitffd9b0f-cp314-cp314-linux_x86_64.whl (from torch==2.10.0a0+gitffd9b0f) 2025-12-04T08:15:25.4314909Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.14/lib/python3.14/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.18.0) 2025-12-04T08:15:25.4317863Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.14/lib/python3.14/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (4.12.2) 2025-12-04T08:15:25.4322369Z Requirement already satisfied: setuptools in /opt/conda/envs/py_3.14/lib/python3.14/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (78.1.1) 2025-12-04T08:15:25.4325668Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.14/lib/python3.14/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (1.13.3) 2025-12-04T08:15:25.4328839Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.14/lib/python3.14/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (2.8.8) 2025-12-04T08:15:25.4331363Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.14/lib/python3.14/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.1.6) 2025-12-04T08:15:25.4334643Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.14/lib/python3.14/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (2025.10.0) 2025-12-04T08:15:25.4347308Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.14/lib/python3.14/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.3.0) 2025-12-04T08:15:25.4448309Z Requirement already satisfied: numpy>=1.7 in /opt/conda/envs/py_3.14/lib/python3.14/site-packages (from opt-einsum>=3.3->torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (2.3.4) 2025-12-04T08:15:25.4479187Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.14/lib/python3.14/site-packages (from sympy>=1.13.3->torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (1.3.0) 2025-12-04T08:15:25.4522625Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.14/lib/python3.14/site-packages (from jinja2->torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.0.3) 2025-12-04T08:15:25.6405953Z Installing collected packages: torch 2025-12-04T08:15:36.4314525Z Successfully installed torch-2.10.0a0+gitffd9b0f 2025-12-04T08:15:36.5273471Z + export TERM=vt100 2025-12-04T08:15:36.5273765Z + TERM=vt100 2025-12-04T08:15:36.5275796Z ++ dirname .ci/pytorch/test.sh 2025-12-04T08:15:36.5283489Z + source .ci/pytorch/common.sh 2025-12-04T08:15:36.5286318Z +++ dirname .ci/pytorch/common.sh 2025-12-04T08:15:36.5292648Z ++ source .ci/pytorch/common_utils.sh 2025-12-04T08:15:36.5294044Z +++ declare -f -t trap_add 2025-12-04T08:15:36.5298833Z ++ set -ex -o pipefail 2025-12-04T08:15:36.5299127Z ++ [[ linux-jammy-py3.14-clang12 == *rocm* ]] 2025-12-04T08:15:36.5299462Z ++ BUILD_TEST_LIBTORCH=0 2025-12-04T08:15:36.5302814Z ++ dirname .ci/pytorch/test.sh 2025-12-04T08:15:36.5309694Z + source .ci/pytorch/common-build.sh 2025-12-04T08:15:36.5311220Z ++ [[ linux-jammy-py3.14-clang12 != *win-* ]] 2025-12-04T08:15:36.5316730Z ++++ dirname .ci/pytorch/common-build.sh 2025-12-04T08:15:36.5323938Z +++ cd .ci/pytorch 2025-12-04T08:15:36.5324464Z +++ pwd -P 2025-12-04T08:15:36.5326351Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-12-04T08:15:36.5326794Z ++ [[ linux-jammy-py3.14-clang12 == *-pch* ]] 2025-12-04T08:15:36.5327112Z ++ which sccache 2025-12-04T08:15:36.5358062Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-12-04T08:15:36.5358423Z ++ sccache --stop-server 2025-12-04T08:15:36.5382554Z ++ true 2025-12-04T08:15:36.5382812Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-12-04T08:15:36.5390140Z ++ trap_add sccache_epilogue EXIT 2025-12-04T08:15:36.5390483Z ++ trap_add_cmd=sccache_epilogue 2025-12-04T08:15:36.5390750Z ++ shift 2025-12-04T08:15:36.5390971Z ++ for trap_add_name in "$@" 2025-12-04T08:15:36.5396373Z ++++ trap -p EXIT 2025-12-04T08:15:36.5399059Z +++ eval 'extract_trap_cmd ' 2025-12-04T08:15:36.5399383Z ++++ extract_trap_cmd 2025-12-04T08:15:36.5399637Z ++++ printf '%s\n' '' 2025-12-04T08:15:36.5399886Z +++ printf '%s\n' sccache_epilogue 2025-12-04T08:15:36.5400644Z ++ trap -- ' 2025-12-04T08:15:36.5400993Z sccache_epilogue' EXIT 2025-12-04T08:15:36.5401382Z ++ [[ -n 1 ]] 2025-12-04T08:15:36.5401886Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-12-04T08:15:36.5402559Z Skipping sccache server initialization, setting environment variables 2025-12-04T08:15:36.5403015Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-12-04T08:15:36.5403298Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-12-04T08:15:36.5403977Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T08:15:36.5404431Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T08:15:36.5411466Z ++ export RUST_LOG=sccache::server=error 2025-12-04T08:15:36.5411823Z ++ RUST_LOG=sccache::server=error 2025-12-04T08:15:36.5412129Z ++ sccache --zero-stats 2025-12-04T08:15:36.6712104Z Statistics zeroed. 2025-12-04T08:15:36.6716608Z ++ which ccache 2025-12-04T08:15:36.6868141Z + [[ linux-jammy-py3.14-clang12 != *rocm* ]] 2025-12-04T08:15:36.6868540Z + [[ linux-jammy-py3.14-clang12 != *s390x* ]] 2025-12-04T08:15:36.6868879Z + [[ -d /var/lib/jenkins/workspace ]] 2025-12-04T08:15:36.6870713Z ++ stat -c %u /var/lib/jenkins/workspace 2025-12-04T08:15:36.6882734Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-12-04T08:15:36.6883068Z + trap_add cleanup_workspace EXIT 2025-12-04T08:15:36.6883386Z + trap_add_cmd=cleanup_workspace 2025-12-04T08:15:36.6883665Z + shift 2025-12-04T08:15:36.6883885Z + for trap_add_name in "$@" 2025-12-04T08:15:36.6890160Z +++ trap -p EXIT 2025-12-04T08:15:36.6892530Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-12-04T08:15:36.6892882Z sccache_epilogue'\'' EXIT' 2025-12-04T08:15:36.6893213Z +++ extract_trap_cmd trap -- ' 2025-12-04T08:15:36.6893668Z sccache_epilogue' EXIT 2025-12-04T08:15:36.6894086Z +++ printf '%s\n' ' 2025-12-04T08:15:36.6894489Z sccache_epilogue' 2025-12-04T08:15:36.6907402Z ++ printf '%s\n' cleanup_workspace 2025-12-04T08:15:36.6907752Z + trap -- ' 2025-12-04T08:15:36.6907965Z sccache_epilogue 2025-12-04T08:15:36.6908210Z cleanup_workspace' EXIT 2025-12-04T08:15:36.6908525Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-12-04T08:15:37.3318928Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-12-04T08:15:37.3335215Z + [[ linux-jammy-py3.14-clang12 == *cuda* ]] 2025-12-04T08:15:37.3335584Z + echo 'Environment variables:' 2025-12-04T08:15:37.3335881Z Environment variables: 2025-12-04T08:15:37.3336112Z + env 2025-12-04T08:15:37.3343371Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T08:15:37.3344149Z CONTINUE_THROUGH_ERROR=True 2025-12-04T08:15:37.3344501Z BUILD_ENVIRONMENT=linux-jammy-py3.14-clang12 2025-12-04T08:15:37.3345082Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-12-04T08:15:37.3345380Z HOSTNAME=a6711748982c 2025-12-04T08:15:37.3345981Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_f813c5ff-99cb-4fa5-ab3c-96b7561be710 2025-12-04T08:15:37.3346624Z GITHUB_ACTION=__run_3 2025-12-04T08:15:37.3346894Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-12-04T08:15:37.3347200Z GITHUB_RUN_NUMBER=384157 2025-12-04T08:15:37.3347452Z TEST_CONFIG=default 2025-12-04T08:15:37.3348825Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-12-04T08:15:37.3349270Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-12-04T08:15:37.3349591Z SCCACHE_IDLE_TIMEOUT=0 2025-12-04T08:15:37.3350001Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-12-04T08:15:37.3350310Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-12-04T08:15:37.3350645Z GITHUB_REF_TYPE=branch 2025-12-04T08:15:37.3350934Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:15:37.3351275Z XLA_CUDA= 2025-12-04T08:15:37.3351501Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-12-04T08:15:37.3351908Z HUGGING_FACE_HUB_TOKEN=*** 2025-12-04T08:15:37.3352380Z *** 2025-12-04T08:15:37.3352598Z GITHUB_REPOSITORY_ID=65600975 2025-12-04T08:15:37.3352882Z GITHUB_ACTIONS=true 2025-12-04T08:15:37.3353168Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T08:15:37.3353568Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:15:37.3353962Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:15:37.3354476Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/pull.yml@refs/heads/main 2025-12-04T08:15:37.3354950Z UCC_HOME=/usr 2025-12-04T08:15:37.3355204Z VERBOSE_TEST_LOGS=False 2025-12-04T08:15:37.3355467Z GITHUB_REF=refs/heads/main 2025-12-04T08:15:37.3355770Z SHARD_NUMBER=1 2025-12-04T08:15:37.3355996Z GITHUB_REF_PROTECTED=true 2025-12-04T08:15:37.3356413Z HOME=/var/lib/jenkins 2025-12-04T08:15:37.3356706Z GITHUB_API_URL=https://api.github.com 2025-12-04T08:15:37.3357032Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-12-04T08:15:37.3357329Z UCX_COMMIT= 2025-12-04T08:15:37.3357649Z USE_SYSTEM_NCCL=1 2025-12-04T08:15:37.3357871Z NUM_TEST_SHARDS=5 2025-12-04T08:15:37.3358103Z UCX_HOME=/usr 2025-12-04T08:15:37.3358686Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_f813c5ff-99cb-4fa5-ab3c-96b7561be710 2025-12-04T08:15:37.3359471Z JOB_NAME=linux-jammy-py3.14-clang12 / test (default, 1, 5, linux.4xlarge) 2025-12-04T08:15:37.3360259Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_f813c5ff-99cb-4fa5-ab3c-96b7561be710 2025-12-04T08:15:37.3361136Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-12-04T08:15:37.3361649Z GITHUB_EVENT_NAME=push 2025-12-04T08:15:37.3361896Z DASHBOARD_TAG= 2025-12-04T08:15:37.3362127Z GITHUB_RUN_ID=19921726337 2025-12-04T08:15:37.3362401Z INSTALLED_OPENBLAS= 2025-12-04T08:15:37.3363022Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_f813c5ff-99cb-4fa5-ab3c-96b7561be710 2025-12-04T08:15:37.3363727Z GITHUB_ACTOR=pytorchmergebot 2025-12-04T08:15:37.3364002Z PR_NUMBER= 2025-12-04T08:15:37.3364200Z DESIRED_CUDA= 2025-12-04T08:15:37.3364426Z GITHUB_RUN_ATTEMPT=1 2025-12-04T08:15:37.3364688Z ANACONDA_PYTHON_VERSION=3.14 2025-12-04T08:15:37.3365014Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-12-04T08:15:37.3365367Z TERM=vt100 2025-12-04T08:15:37.3365587Z INSTALLED_VISION=yes 2025-12-04T08:15:37.3365816Z BRANCH=main 2025-12-04T08:15:37.3366039Z SCCACHE_REGION=us-east-1 2025-12-04T08:15:37.3366317Z OPENSSL_ROOT_DIR=/opt/openssl 2025-12-04T08:15:37.3366601Z BUILD_AOT_INDUCTOR_TEST= 2025-12-04T08:15:37.3366855Z CUDA_PATH=/usr/local/cuda 2025-12-04T08:15:37.3367380Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-12-04T08:15:37.3367975Z GITHUB_SERVER_URL=https://github.com 2025-12-04T08:15:37.3368264Z UCC_COMMIT= 2025-12-04T08:15:37.3368482Z REENABLED_ISSUES= 2025-12-04T08:15:37.3368704Z DOCS= 2025-12-04T08:15:37.3368886Z SHLVL=1 2025-12-04T08:15:37.3369087Z MAX_JOBS=14 2025-12-04T08:15:37.3369308Z GITHUB_ACTOR_ID=97764156 2025-12-04T08:15:37.3369643Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:15:37.3370039Z GITHUB_REF_NAME=main 2025-12-04T08:15:37.3370422Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-12-04T08:15:37.3370847Z GITHUB_JOB=test 2025-12-04T08:15:37.3371082Z NO_TEST_TIMEOUT=False 2025-12-04T08:15:37.3371335Z TD_DISTRIBUTED=False 2025-12-04T08:15:37.3371683Z GITHUB_REPOSITORY=pytorch/pytorch 2025-12-04T08:15:37.3371995Z GITHUB_RETENTION_DAYS=90 2025-12-04T08:15:37.3372264Z OPENSSL_DIR=/opt/openssl 2025-12-04T08:15:37.3372842Z GITHUB_ACTION_REPOSITORY= 2025-12-04T08:15:37.3373644Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.14/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-12-04T08:15:37.3374481Z GITHUB_BASE_REF= 2025-12-04T08:15:37.3374717Z INSTALLED_ACL= 2025-12-04T08:15:37.3375044Z ARTIFACTS_FILE_SUFFIX=test-default-1-5-linux.4xlarge_57112645032 2025-12-04T08:15:37.3375451Z CI=true 2025-12-04T08:15:37.3375679Z GITHUB_REPOSITORY_OWNER=pytorch 2025-12-04T08:15:37.3375989Z RUST_LOG=sccache::server=error 2025-12-04T08:15:37.3376263Z JOB_ID=57112645032 2025-12-04T08:15:37.3376497Z GITHUB_HEAD_REF= 2025-12-04T08:15:37.3376716Z GITHUB_ACTION_REF= 2025-12-04T08:15:37.3377009Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-12-04T08:15:37.3377371Z TEST_SHOWLOCALS=False 2025-12-04T08:15:37.3377616Z GITHUB_WORKFLOW=pull 2025-12-04T08:15:37.3377879Z DEBIAN_FRONTEND=noninteractive 2025-12-04T08:15:37.3378523Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_f813c5ff-99cb-4fa5-ab3c-96b7561be710 2025-12-04T08:15:37.3379181Z NO_TD=False 2025-12-04T08:15:37.3379533Z SKIP_SCCACHE_INITIALIZATION=1 2025-12-04T08:15:37.3379847Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-12-04T08:15:37.3380164Z _=/usr/bin/env 2025-12-04T08:15:37.3380469Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-12-04T08:15:37.4164087Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch 2025-12-04T08:15:37.4164787Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/bin 2025-12-04T08:15:37.4165386Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib 2025-12-04T08:15:37.4165984Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/test 2025-12-04T08:15:37.4166476Z + BUILD_DIR=build 2025-12-04T08:15:37.4166737Z + BUILD_RENAMED_DIR=build_renamed 2025-12-04T08:15:37.4167024Z + BUILD_BIN_DIR=build/bin 2025-12-04T08:15:37.4167279Z + SHARD_NUMBER=1 2025-12-04T08:15:37.4167505Z + NUM_TEST_SHARDS=5 2025-12-04T08:15:37.4167764Z + export TORCH_SERIALIZATION_DEBUG=1 2025-12-04T08:15:37.4168093Z + TORCH_SERIALIZATION_DEBUG=1 2025-12-04T08:15:37.4168360Z + export VALGRIND=ON 2025-12-04T08:15:37.4168603Z + VALGRIND=ON 2025-12-04T08:15:37.4168906Z + [[ linux-jammy-py3.14-clang12 == *clang9* ]] 2025-12-04T08:15:37.4169249Z + [[ linux-jammy-py3.14-clang12 == *xpu* ]] 2025-12-04T08:15:37.4169572Z + detect_cuda_arch 2025-12-04T08:15:37.4169837Z + [[ linux-jammy-py3.14-clang12 == *cuda* ]] 2025-12-04T08:15:37.4170187Z + [[ linux-jammy-py3.14-clang12 == *s390x* ]] 2025-12-04T08:15:37.4170493Z + [[ 0 == \1 ]] 2025-12-04T08:15:37.4170716Z + [[ True == \1 ]] 2025-12-04T08:15:37.4170979Z + [[ linux-jammy-py3.14-clang12 != *bazel* ]] 2025-12-04T08:15:37.4171320Z ++ realpath build/custom_test_artifacts 2025-12-04T08:15:37.4178480Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-12-04T08:15:37.4178996Z + [[ -n '' ]] 2025-12-04T08:15:37.4179221Z + echo 'Environment variables' 2025-12-04T08:15:37.4179509Z Environment variables 2025-12-04T08:15:37.4179759Z + env 2025-12-04T08:15:37.4323056Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T08:15:37.4323582Z CONTINUE_THROUGH_ERROR=True 2025-12-04T08:15:37.4323933Z BUILD_ENVIRONMENT=linux-jammy-py3.14-clang12 2025-12-04T08:15:37.4324536Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-12-04T08:15:37.4324858Z HOSTNAME=a6711748982c 2025-12-04T08:15:37.4325539Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_f813c5ff-99cb-4fa5-ab3c-96b7561be710 2025-12-04T08:15:37.4326185Z GITHUB_ACTION=__run_3 2025-12-04T08:15:37.4326451Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-12-04T08:15:37.4326759Z GITHUB_RUN_NUMBER=384157 2025-12-04T08:15:37.4327006Z TEST_CONFIG=default 2025-12-04T08:15:37.4327505Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-12-04T08:15:37.4327841Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-12-04T08:15:37.4328148Z SCCACHE_IDLE_TIMEOUT=0 2025-12-04T08:15:37.4328563Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-12-04T08:15:37.4328979Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-12-04T08:15:37.4329363Z GITHUB_REF_TYPE=branch 2025-12-04T08:15:37.4329676Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:15:37.4330201Z XLA_CUDA= 2025-12-04T08:15:37.4330513Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-12-04T08:15:37.4331269Z HUGGING_FACE_HUB_TOKEN=*** 2025-12-04T08:15:37.4331690Z *** 2025-12-04T08:15:37.4331912Z GITHUB_REPOSITORY_ID=65600975 2025-12-04T08:15:37.4332186Z GITHUB_ACTIONS=true 2025-12-04T08:15:37.4332490Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T08:15:37.4332891Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:15:37.4333262Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:15:37.4333791Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/pull.yml@refs/heads/main 2025-12-04T08:15:37.4334264Z UCC_HOME=/usr 2025-12-04T08:15:37.4334500Z TORCH_SERIALIZATION_DEBUG=1 2025-12-04T08:15:37.4334765Z VERBOSE_TEST_LOGS=False 2025-12-04T08:15:37.4335022Z GITHUB_REF=refs/heads/main 2025-12-04T08:15:37.4335434Z SHARD_NUMBER=1 2025-12-04T08:15:37.4335657Z GITHUB_REF_PROTECTED=true 2025-12-04T08:15:37.4335924Z HOME=/var/lib/jenkins 2025-12-04T08:15:37.4336210Z GITHUB_API_URL=https://api.github.com 2025-12-04T08:15:37.4336529Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-12-04T08:15:37.4336822Z UCX_COMMIT= 2025-12-04T08:15:37.4337038Z USE_SYSTEM_NCCL=1 2025-12-04T08:15:37.4337256Z NUM_TEST_SHARDS=5 2025-12-04T08:15:37.4337481Z UCX_HOME=/usr 2025-12-04T08:15:37.4338058Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_f813c5ff-99cb-4fa5-ab3c-96b7561be710 2025-12-04T08:15:37.4338854Z JOB_NAME=linux-jammy-py3.14-clang12 / test (default, 1, 5, linux.4xlarge) 2025-12-04T08:15:37.4339624Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_f813c5ff-99cb-4fa5-ab3c-96b7561be710 2025-12-04T08:15:37.4340454Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-12-04T08:15:37.4340960Z GITHUB_EVENT_NAME=push 2025-12-04T08:15:37.4341201Z DASHBOARD_TAG= 2025-12-04T08:15:37.4341427Z GITHUB_RUN_ID=19921726337 2025-12-04T08:15:37.4341688Z INSTALLED_OPENBLAS= 2025-12-04T08:15:37.4342300Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_f813c5ff-99cb-4fa5-ab3c-96b7561be710 2025-12-04T08:15:37.4343007Z GITHUB_ACTOR=pytorchmergebot 2025-12-04T08:15:37.4343276Z PR_NUMBER= 2025-12-04T08:15:37.4343486Z DESIRED_CUDA= 2025-12-04T08:15:37.4343695Z GITHUB_RUN_ATTEMPT=1 2025-12-04T08:15:37.4343931Z VALGRIND=ON 2025-12-04T08:15:37.4344155Z ANACONDA_PYTHON_VERSION=3.14 2025-12-04T08:15:37.4344478Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-12-04T08:15:37.4344829Z TERM=vt100 2025-12-04T08:15:37.4345054Z INSTALLED_VISION=yes 2025-12-04T08:15:37.4345283Z BRANCH=main 2025-12-04T08:15:37.4345504Z SCCACHE_REGION=us-east-1 2025-12-04T08:15:37.4345774Z OPENSSL_ROOT_DIR=/opt/openssl 2025-12-04T08:15:37.4346043Z BUILD_AOT_INDUCTOR_TEST= 2025-12-04T08:15:37.4346307Z CUDA_PATH=/usr/local/cuda 2025-12-04T08:15:37.4346832Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-12-04T08:15:37.4347410Z GITHUB_SERVER_URL=https://github.com 2025-12-04T08:15:37.4347708Z UCC_COMMIT= 2025-12-04T08:15:37.4347921Z REENABLED_ISSUES= 2025-12-04T08:15:37.4348130Z DOCS= 2025-12-04T08:15:37.4348325Z SHLVL=1 2025-12-04T08:15:37.4348524Z MAX_JOBS=14 2025-12-04T08:15:37.4348728Z GITHUB_ACTOR_ID=97764156 2025-12-04T08:15:37.4349076Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:15:37.4349467Z GITHUB_REF_NAME=main 2025-12-04T08:15:37.4349882Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-12-04T08:15:37.4350492Z GITHUB_JOB=test 2025-12-04T08:15:37.4350731Z NO_TEST_TIMEOUT=False 2025-12-04T08:15:37.4350989Z TD_DISTRIBUTED=False 2025-12-04T08:15:37.4351244Z GITHUB_REPOSITORY=pytorch/pytorch 2025-12-04T08:15:37.4351550Z GITHUB_RETENTION_DAYS=90 2025-12-04T08:15:37.4351824Z OPENSSL_DIR=/opt/openssl 2025-12-04T08:15:37.4352088Z GITHUB_ACTION_REPOSITORY= 2025-12-04T08:15:37.4352888Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.14/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-12-04T08:15:37.4353808Z GITHUB_BASE_REF= 2025-12-04T08:15:37.4354028Z INSTALLED_ACL= 2025-12-04T08:15:37.4354371Z ARTIFACTS_FILE_SUFFIX=test-default-1-5-linux.4xlarge_57112645032 2025-12-04T08:15:37.4354777Z CI=true 2025-12-04T08:15:37.4354989Z GITHUB_REPOSITORY_OWNER=pytorch 2025-12-04T08:15:37.4355319Z RUST_LOG=sccache::server=error 2025-12-04T08:15:37.4355592Z JOB_ID=57112645032 2025-12-04T08:15:37.4355825Z GITHUB_HEAD_REF= 2025-12-04T08:15:37.4356044Z GITHUB_ACTION_REF= 2025-12-04T08:15:37.4356338Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-12-04T08:15:37.4356695Z TEST_SHOWLOCALS=False 2025-12-04T08:15:37.4356931Z GITHUB_WORKFLOW=pull 2025-12-04T08:15:37.4357187Z DEBIAN_FRONTEND=noninteractive 2025-12-04T08:15:37.4357914Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_f813c5ff-99cb-4fa5-ab3c-96b7561be710 2025-12-04T08:15:37.4358640Z NO_TD=False 2025-12-04T08:15:37.4358869Z SKIP_SCCACHE_INITIALIZATION=1 2025-12-04T08:15:37.4359175Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-12-04T08:15:37.4359474Z _=/usr/bin/env 2025-12-04T08:15:37.4359733Z + echo 'Testing pytorch' 2025-12-04T08:15:37.4359989Z Testing pytorch 2025-12-04T08:15:37.4360236Z + export LANG=C.UTF-8 2025-12-04T08:15:37.4360466Z + LANG=C.UTF-8 2025-12-04T08:15:37.4360761Z + PR_NUMBER= 2025-12-04T08:15:37.4361069Z + [[ default == \d\e\f\a\u\l\t ]] 2025-12-04T08:15:37.4361358Z + export CUDA_VISIBLE_DEVICES=0 2025-12-04T08:15:37.4361642Z + CUDA_VISIBLE_DEVICES=0 2025-12-04T08:15:37.4361918Z + export HIP_VISIBLE_DEVICES=0 2025-12-04T08:15:37.4362184Z + HIP_VISIBLE_DEVICES=0 2025-12-04T08:15:37.4362446Z + [[ default == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-12-04T08:15:37.4362754Z + [[ default == \s\l\o\w ]] 2025-12-04T08:15:37.4363067Z + [[ linux-jammy-py3.14-clang12 == *slow-gradcheck* ]] 2025-12-04T08:15:37.4363458Z + [[ linux-jammy-py3.14-clang12 == *cuda* ]] 2025-12-04T08:15:37.4363801Z + [[ linux-jammy-py3.14-clang12 == *rocm* ]] 2025-12-04T08:15:37.4364129Z + [[ linux-jammy-py3.14-clang12 == *xpu* ]] 2025-12-04T08:15:37.4364457Z + [[ default == *crossref* ]] 2025-12-04T08:15:37.4364754Z + [[ linux-jammy-py3.14-clang12 == *rocm* ]] 2025-12-04T08:15:37.4365097Z + [[ linux-jammy-py3.14-clang12 == *xpu* ]] 2025-12-04T08:15:37.4365434Z + [[ linux-jammy-py3.14-clang12 != *-bazel-* ]] 2025-12-04T08:15:37.4365777Z + pip_install ninja==1.10.2 2025-12-04T08:15:37.4366144Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-12-04T08:15:37.4366610Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-12-04T08:15:38.2809512Z Collecting ninja==1.10.2 2025-12-04T08:15:38.3061943Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-12-04T08:15:38.3629959Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-12-04T08:15:38.5801450Z Installing collected packages: ninja 2025-12-04T08:15:38.5801857Z Attempting uninstall: ninja 2025-12-04T08:15:38.5830142Z Found existing installation: ninja 1.11.1.4 2025-12-04T08:15:38.5850688Z Uninstalling ninja-1.11.1.4: 2025-12-04T08:15:38.6002175Z Successfully uninstalled ninja-1.11.1.4 2025-12-04T08:15:38.6492884Z Successfully installed ninja-1.10.2 2025-12-04T08:15:38.7203033Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.14/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-12-04T08:15:38.7204938Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.14/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-12-04T08:15:38.7205923Z + [[ linux-jammy-py3.14-clang12 == *aarch64* ]] 2025-12-04T08:15:38.7206320Z + [[ linux-jammy-py3.14-clang12 == *asan* ]] 2025-12-04T08:15:38.7206675Z + [[ linux-jammy-py3.14-clang12 == *-debug* ]] 2025-12-04T08:15:38.7207036Z + [[ linux-jammy-py3.14-clang12 != *-bazel-* ]] 2025-12-04T08:15:38.7207555Z + echo 'We are not in debug mode: linux-jammy-py3.14-clang12. Expect the assertion to pass' 2025-12-04T08:15:38.7208198Z We are not in debug mode: linux-jammy-py3.14-clang12. Expect the assertion to pass 2025-12-04T08:15:38.7208656Z + cd test 2025-12-04T08:15:38.7209005Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-12-04T08:15:40.1405534Z + [[ default == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-12-04T08:15:40.1405922Z + [[ default == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-12-04T08:15:40.1406307Z + [[ default == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-12-04T08:15:40.1410466Z + DYNAMO_BENCHMARK_FLAGS=() 2025-12-04T08:15:40.1411370Z + [[ default == *pr_time_benchmarks* ]] 2025-12-04T08:15:40.1411696Z + [[ default == *dynamo_eager* ]] 2025-12-04T08:15:40.1411980Z + [[ default == *aot_eager* ]] 2025-12-04T08:15:40.1412573Z + [[ default == *aot_inductor* ]] 2025-12-04T08:15:40.1412884Z + [[ default == *max_autotune_inductor* ]] 2025-12-04T08:15:40.1413194Z + [[ default == *inductor* ]] 2025-12-04T08:15:40.1413473Z + [[ default == *dynamic* ]] 2025-12-04T08:15:40.1413746Z + [[ default == *cpu* ]] 2025-12-04T08:15:40.1413988Z + [[ default == *xpu* ]] 2025-12-04T08:15:40.1414284Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda) 2025-12-04T08:15:40.1443006Z + [[ linux-jammy-py3.14-clang12 == *libtorch* ]] 2025-12-04T08:15:40.1443400Z + [[ linux-jammy-py3.14-clang12 == *-bazel-* ]] 2025-12-04T08:15:40.1446132Z + cd test 2025-12-04T08:15:40.1446803Z + python -c 'import torch; print(torch.__config__.show())' 2025-12-04T08:15:41.2414330Z PyTorch built with: 2025-12-04T08:15:41.2414610Z - GCC 4.2 2025-12-04T08:15:41.2414821Z - C++ Version: 201703 2025-12-04T08:15:41.2415069Z - clang 12.0.1 2025-12-04T08:15:41.2415616Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-12-04T08:15:41.2416358Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-12-04T08:15:41.2416800Z - OpenMP 201811 2025-12-04T08:15:41.2417077Z - LAPACK is enabled (usually provided by MKL) 2025-12-04T08:15:41.2417411Z - NNPACK is enabled 2025-12-04T08:15:41.2417662Z - CPU capability usage: AVX512 2025-12-04T08:15:41.2423082Z - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32, CXX_COMPILER=/opt/cache/bin/clang++, CXX_FLAGS= -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 -DC10_NODEPRECATED -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 -Wsuggest-override -Wnewline-eof -Winconsistent-missing-override -Winconsistent-missing-destructor-override -Wno-pass-failed -Wno-error=old-style-cast -Wconstant-conversion -Qunused-arguments -faligned-new -Werror -fno-math-errno -fno-trapping-math -Werror=format, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.10.0, 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, USE_XCCL=OFF, USE_XPU=OFF, 2025-12-04T08:15:41.2428564Z 2025-12-04T08:15:41.5395395Z + cd test 2025-12-04T08:15:41.5395780Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-12-04T08:15:42.6335954Z ATen/Parallel: 2025-12-04T08:15:42.6336296Z at::get_num_threads() : 8 2025-12-04T08:15:42.6336593Z at::get_num_interop_threads() : 8 2025-12-04T08:15:42.6336898Z OpenMP 201811 2025-12-04T08:15:42.6337161Z omp_get_max_threads() : 8 2025-12-04T08:15:42.6337728Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-12-04T08:15:42.6338337Z mkl_get_max_threads() : 8 2025-12-04T08:15:42.6338722Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-12-04T08:15:42.6339173Z std::thread::hardware_concurrency() : 16 2025-12-04T08:15:42.6339485Z Environment variables: 2025-12-04T08:15:42.6339745Z OMP_NUM_THREADS : [not set] 2025-12-04T08:15:42.6340019Z MKL_NUM_THREADS : [not set] 2025-12-04T08:15:42.6340288Z ATen parallel backend: OpenMP 2025-12-04T08:15:42.6340485Z 2025-12-04T08:15:42.9441625Z + [[ default == *numpy_2* ]] 2025-12-04T08:15:42.9442141Z + [[ linux-jammy-py3.14-clang12 == *aarch64* ]] 2025-12-04T08:15:42.9442519Z + [[ default == *backward* ]] 2025-12-04T08:15:42.9442840Z + [[ default == *libtorch_agnostic_targetting* ]] 2025-12-04T08:15:42.9443184Z + [[ default == *xla* ]] 2025-12-04T08:15:42.9443699Z + [[ default == *vllm* ]] 2025-12-04T08:15:42.9443971Z + [[ default == *executorch* ]] 2025-12-04T08:15:42.9444266Z + [[ default == \j\i\t\_\l\e\g\a\c\y ]] 2025-12-04T08:15:42.9444586Z + [[ default == \q\u\a\n\t\i\z\a\t\i\o\n ]] 2025-12-04T08:15:42.9444924Z + [[ linux-jammy-py3.14-clang12 == *libtorch* ]] 2025-12-04T08:15:42.9445299Z + [[ default == distributed ]] 2025-12-04T08:15:42.9445595Z + [[ default == *operator_benchmark* ]] 2025-12-04T08:15:42.9445922Z + [[ default == *operator_microbenchmark* ]] 2025-12-04T08:15:42.9446268Z + [[ default == *attention_microbenchmark* ]] 2025-12-04T08:15:42.9446614Z + [[ default == *inductor_distributed* ]] 2025-12-04T08:15:42.9446938Z + [[ default == *inductor-halide* ]] 2025-12-04T08:15:42.9447256Z + [[ default == *inductor-pallas* ]] 2025-12-04T08:15:42.9447579Z + [[ default == *inductor-triton-cpu* ]] 2025-12-04T08:15:42.9447927Z + [[ default == *inductor-micro-benchmark* ]] 2025-12-04T08:15:42.9448287Z + [[ default == *aoti_cross_compile_for_windows* ]] 2025-12-04T08:15:42.9448651Z + [[ default == *huggingface* ]] 2025-12-04T08:15:42.9448937Z + [[ default == *timm* ]] 2025-12-04T08:15:42.9449195Z + [[ default == cachebench ]] 2025-12-04T08:15:42.9449482Z + [[ default == verify_cachebench ]] 2025-12-04T08:15:42.9449791Z + [[ default == *torchbench* ]] 2025-12-04T08:15:42.9450077Z + [[ default == *inductor_cpp_wrapper* ]] 2025-12-04T08:15:42.9450400Z + [[ default == *inductor_core* ]] 2025-12-04T08:15:42.9450691Z + [[ default == *inductor* ]] 2025-12-04T08:15:42.9450953Z + [[ default == *einops* ]] 2025-12-04T08:15:42.9451226Z + [[ default == *dynamo_core* ]] 2025-12-04T08:15:42.9451518Z + [[ default == *dynamo_wrapped* ]] 2025-12-04T08:15:42.9451846Z + [[ linux-jammy-py3.14-clang12 == *rocm* ]] 2025-12-04T08:15:42.9452141Z + [[ 1 == 1 ]] 2025-12-04T08:15:42.9452366Z + [[ 5 -gt 1 ]] 2025-12-04T08:15:42.9452623Z + test_lazy_tensor_meta_reference_disabled 2025-12-04T08:15:42.9453010Z + export TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE=1 2025-12-04T08:15:42.9453451Z + TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE=1 2025-12-04T08:15:42.9453904Z + echo 'Testing lazy tensor operations without meta reference' 2025-12-04T08:15:42.9454368Z Testing lazy tensor operations without meta reference 2025-12-04T08:15:42.9454857Z + python test/run_test.py --include lazy/test_ts_opinfo.py --verbose 2025-12-04T08:15:46.7185576Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T08:15:46.7700498Z Ignoring disabled issues: [''] 2025-12-04T08:15:46.7802066Z Found test times from artifacts 2025-12-04T08:15:46.8195454Z Found test times from artifacts 2025-12-04T08:15:46.8209503Z Running all tests 2025-12-04T08:15:46.8212496Z Running parallel tests on 3 processes 2025-12-04T08:15:46.8213224Z Name: tests to run (est. time: 0.44min) 2025-12-04T08:15:46.8213584Z Serial tests (0): 2025-12-04T08:15:46.8213857Z Parallel tests (1): 2025-12-04T08:15:46.8214171Z lazy/test_ts_opinfo 1/1 2025-12-04T08:15:46.8214482Z Name: excluded (est. time: 0.0min) 2025-12-04T08:15:46.8214777Z Serial tests (0): 2025-12-04T08:15:46.8215010Z Parallel tests (0): 2025-12-04T08:15:46.8215398Z Running lazy/test_ts_opinfo 1/1 ... [2025-12-04 08:15:46.821338][981.504078123] 2025-12-04T08:15:46.8215854Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:15:46.8219648Z Executing ['/opt/conda/envs/py_3.14/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'] ... [2025-12-04 08:15:46.821728] 2025-12-04T08:15:50.5932218Z 2025-12-04T08:15:50.5933108Z 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_6185d6832dfbe96f_.log 2025-12-04T08:15:50.5933877Z Running 0 items in this shard: 2025-12-04T08:15:50.5934063Z 2025-12-04T08:15:50.5934345Z Finished lazy/test_ts_opinfo 1/1 ... [2025-12-04 08:15:50.593132][985.275871762], took 0.06min 2025-12-04T08:15:50.5938584Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-ee7740eb7f6b93ce.xml 2025-12-04T08:15:50.8512486Z Uploading artifacts took 0.11 seconds 2025-12-04T08:15:53.1031077Z Running lazy/test_ts_opinfo 1/1 ... [2025-12-04 08:15:53.102725][987.785463462] 2025-12-04T08:15:53.1031716Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:15:53.1033116Z Executing ['/opt/conda/envs/py_3.14/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'] ... [2025-12-04 08:15:53.103084] 2025-12-04T08:16:09.6391902Z 2025-12-04T08:16:09.6392947Z 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_a1cae6a6be5edb5a_.log 2025-12-04T08:16:09.6508329Z Running 294 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_svd_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_svd_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 2025-12-04T08:16:09.6621335Z 2025-12-04T08:16:09.6621621Z Finished lazy/test_ts_opinfo 1/1 ... [2025-12-04 08:16:09.639468][1004.322205537], took 0.28min 2025-12-04T08:16:09.6622642Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-661170fc53a7190c.xml 2025-12-04T08:16:10.4605770Z Running test batch 'tests to run' cost 23.64 seconds 2025-12-04T08:16:11.2077085Z 2025-12-04T08:16:11.2077578Z real 0m28.263s 2025-12-04T08:16:11.2077843Z user 1m28.876s 2025-12-04T08:16:11.2078059Z sys 0m4.797s 2025-12-04T08:16:11.2078393Z + export -n TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE 2025-12-04T08:16:11.2078814Z + test_without_numpy 2025-12-04T08:16:11.2081501Z ++ dirname .ci/pytorch/test.sh 2025-12-04T08:16:11.2104598Z + pushd .ci/pytorch 2025-12-04T08:16:11.2104864Z ~/workspace/.ci/pytorch ~/workspace 2025-12-04T08:16:11.2105712Z + 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())' 2025-12-04T08:16:11.8730783Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_subclasses/functional_tensor.py:283: UserWarning: Failed to initialize NumPy: Sorry PyTorch, but our NumPy is in the other folder (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_numpy.cpp:84.) 2025-12-04T08:16:11.8732236Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-12-04T08:16:12.5422108Z + python -c 'import sys;sys.path.insert(0, '\''fake_numpy'\'');import torch;print(torch.tensor([torch.tensor(0.), torch.tensor(1.)]))' 2025-12-04T08:16:13.2024840Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_subclasses/functional_tensor.py:283: UserWarning: Failed to initialize NumPy: Sorry PyTorch, but our NumPy is in the other folder (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_numpy.cpp:84.) 2025-12-04T08:16:13.2026295Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-12-04T08:16:13.5862513Z tensor([0., 1.]) 2025-12-04T08:16:13.8587159Z + [[ default == *dynamo_wrapped* ]] 2025-12-04T08:16:13.8587753Z + python -c 'import sys;sys.path.insert(0, '\''fake_numpy'\'');import torch; import torch.onnx' 2025-12-04T08:16:14.5039706Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_subclasses/functional_tensor.py:283: UserWarning: Failed to initialize NumPy: Sorry PyTorch, but our NumPy is in the other folder (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_numpy.cpp:84.) 2025-12-04T08:16:14.5042606Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-12-04T08:16:15.1932967Z + popd 2025-12-04T08:16:15.1933241Z ~/workspace 2025-12-04T08:16:15.1933464Z + install_torchvision 2025-12-04T08:16:15.1933724Z + local orig_preload 2025-12-04T08:16:15.1933966Z + local commit 2025-12-04T08:16:15.1936270Z ++ get_pinned_commit vision 2025-12-04T08:16:15.1936626Z ++ cat .github/ci_commit_pins/vision.txt 2025-12-04T08:16:15.1949024Z + commit=617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T08:16:15.1949416Z + orig_preload= 2025-12-04T08:16:15.1949665Z + '[' -n '' ']' 2025-12-04T08:16:15.1949967Z + [[ linux-jammy-py3.14-clang12 == *cuda* ]] 2025-12-04T08:16:15.1950741Z + pip_build_and_install git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e dist/vision 2025-12-04T08:16:15.1951690Z + local build_target=git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T08:16:15.1952327Z + local wheel_dir=dist/vision 2025-12-04T08:16:15.1952595Z + local found_whl=0 2025-12-04T08:16:15.1953159Z + for file in "${wheel_dir}"/*.whl 2025-12-04T08:16:15.1953466Z + [[ -f dist/vision/*.whl ]] 2025-12-04T08:16:15.1953775Z + '[' 0 == 0 ']' 2025-12-04T08:16:15.1954520Z + python3 -m pip wheel --no-build-isolation --no-deps -w dist/vision git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T08:16:15.4993408Z Collecting git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T08:16:15.4998433Z Cloning https://github.com/pytorch/vision.git (to revision 617079d944b0e72632311c30ae2bbdf1168b901e) to /tmp/pip-req-build-_qk7v0f1 2025-12-04T08:16:15.5018414Z Running command git clone --filter=blob:none --quiet https://github.com/pytorch/vision.git /tmp/pip-req-build-_qk7v0f1 2025-12-04T08:16:17.0242602Z Running command git rev-parse -q --verify 'sha^617079d944b0e72632311c30ae2bbdf1168b901e' 2025-12-04T08:16:17.0261391Z Running command git fetch -q https://github.com/pytorch/vision.git 617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T08:16:17.1288793Z Resolved https://github.com/pytorch/vision.git to commit 617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T08:16:18.8373097Z Preparing metadata (pyproject.toml) ... [?25l- \ done 2025-12-04T08:16:18.8404969Z [?25hBuilding wheels for collected packages: torchvision 2025-12-04T08:17:11.6878509Z Building wheel for torchvision (pyproject.toml) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | done 2025-12-04T08:17:11.6916578Z [?25h Created wheel for torchvision: filename=torchvision-0.25.0a0+617079d-cp314-cp314-linux_x86_64.whl size=1162568 sha256=59b41620b38e7cac90f84530d9e127708f9542768888e63b5165fceb271377a6 2025-12-04T08:17:11.6919215Z Stored in directory: /var/lib/jenkins/.cache/pip/wheels/81/ea/ac/4eea705c7dceb07802aebda79ffca24339b243347a10b2d5c2 2025-12-04T08:17:11.6953363Z Successfully built torchvision 2025-12-04T08:17:11.7905600Z + for file in "${wheel_dir}"/*.whl 2025-12-04T08:17:11.7906228Z + pip_install_whl dist/vision/torchvision-0.25.0a0+617079d-cp314-cp314-linux_x86_64.whl 2025-12-04T08:17:11.7906917Z + args=('dist/vision/torchvision-0.25.0a0+617079d-cp314-cp314-linux_x86_64.whl') 2025-12-04T08:17:11.7907378Z + local args 2025-12-04T08:17:11.7907781Z + [[ dist/vision/torchvision-0.25.0a0+617079d-cp314-cp314-linux_x86_64.whl == *\ * ]] 2025-12-04T08:17:11.7908285Z + for path in "${args[@]}" 2025-12-04T08:17:11.7908758Z + echo 'Installing dist/vision/torchvision-0.25.0a0+617079d-cp314-cp314-linux_x86_64.whl' 2025-12-04T08:17:11.7909461Z Installing dist/vision/torchvision-0.25.0a0+617079d-cp314-cp314-linux_x86_64.whl 2025-12-04T08:17:11.7911274Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.25.0a0+617079d-cp314-cp314-linux_x86_64.whl 2025-12-04T08:17:12.1107278Z Processing ./dist/vision/torchvision-0.25.0a0+617079d-cp314-cp314-linux_x86_64.whl 2025-12-04T08:17:12.1206319Z Installing collected packages: torchvision 2025-12-04T08:17:12.6515405Z Successfully installed torchvision-0.25.0a0+617079d 2025-12-04T08:17:12.7198446Z + '[' -n '' ']' 2025-12-04T08:17:12.7198723Z + test_python_shard 1 2025-12-04T08:17:12.7198977Z + [[ -z 5 ]] 2025-12-04T08:17:12.7199759Z + python test/run_test.py --exclude-jit-executor --exclude-distributed-tests --exclude-quantization-tests --shard 1 5 --verbose --upload-artifacts-while-running 2025-12-04T08:17:16.4038172Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T08:17:16.4135266Z Found test times from artifacts 2025-12-04T08:17:16.4924318Z Found test times from artifacts 2025-12-04T08:17:16.4939006Z Running all tests 2025-12-04T08:17:16.5296776Z Running parallel tests on 3 processes 2025-12-04T08:17:16.5300737Z Name: tests to run (est. time: 88.74min) 2025-12-04T08:17:16.5301047Z Serial tests (50): 2025-12-04T08:17:16.5301314Z dynamo/test_fake_distributed 1/1 2025-12-04T08:17:16.5301609Z test_torch 1/1 2025-12-04T08:17:16.5302132Z test_utils 1/1 2025-12-04T08:17:16.5302366Z test_ci_sanity_check_fail 1/1 2025-12-04T08:17:16.5302651Z test_fx 1/1 2025-12-04T08:17:16.5302891Z test_python_dispatch 1/1 2025-12-04T08:17:16.5303166Z test_tensor_creation_ops 1/1 2025-12-04T08:17:16.5303453Z test_nn 1/1 2025-12-04T08:17:16.5303699Z test_multiprocessing_spawn 1/1 2025-12-04T08:17:16.5303988Z nn/test_pooling 1/1 2025-12-04T08:17:16.5304240Z test_overrides 1/1 2025-12-04T08:17:16.5304485Z test_reductions 1/1 2025-12-04T08:17:16.5304730Z test_spectral_ops 1/1 2025-12-04T08:17:16.5305006Z inductor/test_max_autotune 1/1 2025-12-04T08:17:16.5305291Z doctests 1/1 2025-12-04T08:17:16.5305533Z inductor/test_flex_attention 1/5 2025-12-04T08:17:16.5305846Z inductor/test_flex_attention 2/5 2025-12-04T08:17:16.5306155Z inductor/test_flex_attention 3/5 2025-12-04T08:17:16.5306451Z inductor/test_flex_attention 4/5 2025-12-04T08:17:16.5306766Z inductor/test_flex_attention 5/5 2025-12-04T08:17:16.5307092Z inductor/test_cutlass_backend 1/1 2025-12-04T08:17:16.5307404Z inductor/test_benchmark_fusion 1/1 2025-12-04T08:17:16.5307740Z inductor/test_distributed_patterns 1/1 2025-12-04T08:17:16.5308069Z test_sort_and_select 1/1 2025-12-04T08:17:16.5308356Z test_privateuseone_python_backend 1/1 2025-12-04T08:17:16.5308688Z test_cpp_api_parity 1/1 2025-12-04T08:17:16.5308975Z test_extension_utils 1/1 2025-12-04T08:17:16.5309255Z test_show_pickle 1/1 2025-12-04T08:17:16.5309507Z test_tensorexpr 1/1 2025-12-04T08:17:16.5309778Z test_namedtuple_return_api 1/1 2025-12-04T08:17:16.5310081Z test_fake_tensor 1/1 2025-12-04T08:17:16.5310346Z test_multiprocessing 1/1 2025-12-04T08:17:16.5310634Z test_autograd_fallback 1/1 2025-12-04T08:17:16.5310911Z test_autocast 1/1 2025-12-04T08:17:16.5311148Z test_jit_disabled 1/1 2025-12-04T08:17:16.5311430Z test_cpp_extensions_mtia_backend 1/1 2025-12-04T08:17:16.5311775Z test_cpp_extensions_stream_and_event 1/1 2025-12-04T08:17:16.5312089Z test_dispatch 1/1 2025-12-04T08:17:16.5312343Z nn/test_convolution 1/1 2025-12-04T08:17:16.5312623Z test_cpp_extensions_jit 1/1 2025-12-04T08:17:16.5312891Z test_cuda_trace 1/1 2025-12-04T08:17:16.5313138Z test_native_mha 1/1 2025-12-04T08:17:16.5313398Z test_cuda_nvml_based_avail 1/1 2025-12-04T08:17:16.5313686Z test_mobile_optimizer 1/1 2025-12-04T08:17:16.5313965Z test_cuda_primary_ctx 1/1 2025-12-04T08:17:16.5314262Z distributions/test_distributions 1/1 2025-12-04T08:17:16.5314583Z test_autoload_disable 1/1 2025-12-04T08:17:16.5314850Z test_autoload_enable 1/1 2025-12-04T08:17:16.5315268Z test_cpp_extensions_aot_ninja 1/1 2025-12-04T08:17:16.5315599Z test_cpp_extensions_aot_no_ninja 1/1 2025-12-04T08:17:16.5315903Z Parallel tests (22): 2025-12-04T08:17:16.5316186Z inductor/test_collective_autotuning 1/1 2025-12-04T08:17:16.5316523Z inductor/test_kernel_benchmark 1/1 2025-12-04T08:17:16.5316845Z inductor/test_cudagraph_trees 1/1 2025-12-04T08:17:16.5317198Z inductor/test_torchinductor_strided_blocks 1/1 2025-12-04T08:17:16.5317653Z inductor/test_triton_syntax 1/1 2025-12-04T08:17:16.5317954Z inductor/test_ck_backend 1/1 2025-12-04T08:17:16.5318247Z inductor/test_metrics 1/1 2025-12-04T08:17:16.5318538Z inductor/test_lookup_table 1/1 2025-12-04T08:17:16.5318833Z inductor/test_cudacodecache 1/1 2025-12-04T08:17:16.5319142Z inductor/test_op_dtype_prop 1/1 2025-12-04T08:17:16.5319446Z inductor/test_profiler 1/1 2025-12-04T08:17:16.5319744Z inductor/test_aot_inductor_utils 1/1 2025-12-04T08:17:16.5320049Z dynamo/test_cudagraphs 1/1 2025-12-04T08:17:16.5320346Z inductor/test_fxir_backend 1/1 2025-12-04T08:17:16.5320647Z test_varlen_attention 1/1 2025-12-04T08:17:16.5320909Z test_jiterator 1/1 2025-12-04T08:17:16.5321170Z optim/test_lrscheduler 1/1 2025-12-04T08:17:16.5321445Z test_ops 4/6 2025-12-04T08:17:16.5321669Z optim/test_optim 1/1 2025-12-04T08:17:16.5322031Z functorch/test_aotdispatch 5/9 2025-12-04T08:17:16.5322343Z functorch/test_aotdispatch 6/9 2025-12-04T08:17:16.5322640Z functorch/test_aotdispatch 7/9 2025-12-04T08:17:16.5322950Z Name: excluded (est. time: 0.0min) 2025-12-04T08:17:16.5323241Z Serial tests (0): 2025-12-04T08:17:16.5323468Z Parallel tests (0): 2025-12-04T08:17:16.5323906Z Running dynamo/test_fake_distributed 1/1 ... [2025-12-04 08:17:16.530524][1071.213266371] 2025-12-04T08:17:16.5324405Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:17:16.5325485Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_fake_distributed.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 08:17:16.530877] 2025-12-04T08:17:20.9511965Z 2025-12-04T08:17:20.9512969Z dynamo/test_fake_distributed 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_fake_distributed_1.1_97c8718124d8332a_.log 2025-12-04T08:17:20.9514941Z Running 3 items in this shard: test/dynamo/test_fake_distributed.py::TestFakeDistributed::test_all_to_all_single_autograd, test/dynamo/test_fake_distributed.py::TestFakeDistributed::test_device_mesh_flatten, test/dynamo/test_fake_distributed.py::TestFakeDistributed::test_device_mesh_get_local_rank 2025-12-04T08:17:20.9516257Z 2025-12-04T08:17:20.9516579Z Finished dynamo/test_fake_distributed 1/1 ... [2025-12-04 08:17:20.951134][1075.63387429], took 0.07min 2025-12-04T08:17:20.9521637Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_fake_distributed/dynamo.test_fake_distributed-eab0b456bb056468.xml 2025-12-04T08:17:21.2622501Z Uploading artifacts took 0.16 seconds 2025-12-04T08:17:21.2623336Z Running test_torch 1/1 ... [2025-12-04 08:17:21.262163][1075.944901781] 2025-12-04T08:17:21.2623803Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:17:21.2627303Z Executing ['/opt/conda/envs/py_3.14/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'] ... [2025-12-04 08:17:21.262505] 2025-12-04T08:17:35.2458920Z 2025-12-04T08:17:35.2460107Z test_torch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_torch_1.1_02ca4043a57f056d_.log 2025-12-04T08:17:35.2756101Z Running 953 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_concat_non_tuple_sequence, test/test_torch.py::TestTorch::test_Size_concat_wildcard, test/test_torch.py::TestTorch::test_Size_iter, test/test_torch.py::TestTorch::test_Size_scalar, test/test_torch.py::TestTorch::test_add_meta_scalar, test/test_torch.py::TestTorch::test_allow_tensor_metadata_change, test/test_torch.py::TestTorch::test_apply, test/test_torch.py::TestTorch::test_as_subclass, test/test_torch.py::TestTorch::test_assert_async, test/test_torch.py::TestTorch::test_backward_hooks_traverse, test/test_torch.py::TestTorch::test_batch_norm_cpu_inference, test/test_torch.py::TestTorch::test_bf16_supported_on_cpu, test/test_torch.py::TestTorch::test_bmm_multithreaded, test/test_torch.py::TestTorch::test_boxMullerState, test/test_torch.py::TestTorch::test_cat_neg_dim, test/test_torch.py::TestTorch::test_check, test/test_torch.py::TestTorch::test_chunk_neg_dim, test/test_torch.py::TestTorch::test_conj_neg_tolist, test/test_torch.py::TestTorch::test_conj_physical_meta_stride, test/test_torch.py::TestTorch::test_contains, test/test_torch.py::TestTorch::test_copy_broadcast, test/test_torch.py::TestTorch::test_copy_dtypes, test/test_torch.py::TestTorch::test_copy_float16, test/test_torch.py::TestTorch::test_copy_many_to_one, test/test_torch.py::TestTorch::test_copy_transpose, test/test_torch.py::TestTorch::test_cuda_not_built, test/test_torch.py::TestTorch::test_cummax_neg_dim, test/test_torch.py::TestTorch::test_cummin_neg_dim, test/test_torch.py::TestTorch::test_cumprod_neg_dim, test/test_torch.py::TestTorch::test_cumsum_neg_dim, test/test_torch.py::TestTorch::test_cxx_flags, test/test_torch.py::TestTorch::test_data_ptr_of_empty_tensor_with_storage, test/test_torch.py::TestTorch::test_data_ptr_of_empty_view_with_storage, test/test_torch.py::TestTorch::test_deepcopy_gradient, test/test_torch.py::TestTorch::test_deepcopy_parameter, test/test_torch.py::TestTorch::test_deterministic_fill_uninitialized_memory, test/test_torch.py::TestTorch::test_deterministic_flag, test/test_torch.py::TestTorch::test_device, test/test_torch.py::TestTorch::test_dim_order, test/test_torch.py::TestTorch::test_dir, test/test_torch.py::TestTorch::test_doc, test/test_torch.py::TestTorch::test_doc_template, test/test_torch.py::TestTorch::test_dot_data_use, test/test_torch.py::TestTorch::test_dtype_is_signed, test/test_torch.py::TestTorch::test_element_size, test/test_torch.py::TestTorch::test_empty_meta, test/test_torch.py::TestTorch::test_empty_storage_view, test/test_torch.py::TestTorch::test_equal, test/test_torch.py::TestTorch::test_error_msg_type_translation, test/test_torch.py::TestTorch::test_fill_diagonal, test/test_torch.py::TestTorch::test_format_scalar_meta, test/test_torch.py::TestTorch::test_from_buffer, test/test_torch.py::TestTorch::test_from_file, test/test_torch.py::TestTorch::test_gather_neg_dim, test/test_torch.py::TestTorch::test_generator_cpu, test/test_torch.py::TestTorch::test_get_cpu_capability, test/test_torch.py::TestTorch::test_has_internal_overlap, test/test_torch.py::TestTorch::test_has_storage, test/test_torch.py::TestTorch::test_index_add, test/test_torch.py::TestTorch::test_index_add_all_dtypes, test/test_torch.py::TestTorch::test_index_add_cornercase, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_neg_dim, test/test_torch.py::TestTorch::test_index_copy_neg_dim, test/test_torch.py::TestTorch::test_index_fill_neg_dim, test/test_torch.py::TestTorch::test_index_select_neg_dim, test/test_torch.py::TestTorch::test_invalid_arg_error_handling, test/test_torch.py::TestTorch::test_invalid_generator_raises, test/test_torch.py::TestTorch::test_is_nonzero, test/test_torch.py::TestTorch::test_is_same_size, test/test_torch.py::TestTorch::test_iter, test/test_torch.py::TestTorch::test_kthvalue_neg_dim, test/test_torch.py::TestTorch::test_linspace_logspace, test/test_torch.py::TestTorch::test_logcumsumexp_neg_dim, test/test_torch.py::TestTorch::test_manual_seed, test/test_torch.py::TestTorch::test_map, test/test_torch.py::TestTorch::test_map2, test/test_torch.py::TestTorch::test_max_neg_dim, test/test_torch.py::TestTorch::test_mean_neg_dim, test/test_torch.py::TestTorch::test_median_neg_dim, test/test_torch.py::TestTorch::test_memory_format, test/test_torch.py::TestTorch::test_memory_format_contiguous_returns_same_tensor_if_already_satisfies, test/test_torch.py::TestTorch::test_memory_format_empty, test/test_torch.py::TestTorch::test_min_neg_dim, test/test_torch.py::TestTorch::test_mode_neg_dim, test/test_torch.py::TestTorch::test_multinomial_invalid_probs, test/test_torch.py::TestTorch::test_nanmedian_neg_dim, test/test_torch.py::TestTorch::test_narrow_neg_dim, test/test_torch.py::TestTorch::test_nbytes, test/test_torch.py::TestTorch::test_ndim, test/test_torch.py::TestTorch::test_new, test/test_torch.py::TestTorch::test_newaxis_numpy_comparison, test/test_torch.py::TestTorch::test_newindex, test/test_torch.py::TestTorch::test_no_cuda_monkeypatch, test/test_torch.py::TestTorch::test_norm_neg_dim, test/test_torch.py::TestTorch::test_normal_shape, test/test_torch.py::TestTorch::test_numel, test/test_torch.py::TestTorch::test_parallel_info, test/test_torch.py::TestTorch::test_parsing_double, test/test_torch.py::TestTorch::test_parsing_int64, test/test_torch.py::TestTorch::test_parsing_intlist, test/test_torch.py::TestTorch::test_permute, test/test_torch.py::TestTorch::test_pickle, test/test_torch.py::TestTorch::test_pickle_dtype, test/test_torch.py::TestTorch::test_pickle_function, test/test_torch.py::TestTorch::test_pickle_generator, test/test_torch.py::TestTorch::test_pickle_parameter, test/test_torch.py::TestTorch::test_pickle_parameter_no_requires_grad, test/test_torch.py::TestTorch::test_pickle_size, test/test_torch.py::TestTorch::test_pin_memory, test/test_torch.py::TestTorch::test_print, test/test_torch.py::TestTorch::test_prod_neg_dim, test/test_torch.py::TestTorch::test_pyobj_preserved, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_renorm_neg_dim, test/test_torch.py::TestTorch::test_resizable, test/test_torch.py::TestTorch::test_reversed, test/test_torch.py::TestTorch::test_scatter_neg_dim, test/test_torch.py::TestTorch::test_select_neg_dim, test/test_torch.py::TestTorch::test_set_flush_denormal, test/test_torch.py::TestTorch::test_setting_real_imag_to_a_number, test/test_torch.py::TestTorch::test_show_config, test/test_torch.py::TestTorch::test_size_neg_dim, test/test_torch.py::TestTorch::test_size_stride, test/test_torch.py::TestTorch::test_sizeof, test/test_torch.py::TestTorch::test_slice, test/test_torch.py::TestTorch::test_slow_test, test/test_torch.py::TestTorch::test_sobolengine_bounds, test/test_torch.py::TestTorch::test_sobolengine_bounds_scrambled, test/test_torch.py::TestTorch::test_sobolengine_continuing, test/test_torch.py::TestTorch::test_sobolengine_continuing_scrambled, test/test_torch.py::TestTorch::test_sobolengine_default_dtype, test/test_torch.py::TestTorch::test_sobolengine_distribution, test/test_torch.py::TestTorch::test_sobolengine_distribution_scrambled, test/test_torch.py::TestTorch::test_sobolengine_draw, test/test_torch.py::TestTorch::test_sobolengine_draw_base2, test/test_torch.py::TestTorch::test_sobolengine_draw_base2_scrambled, test/test_torch.py::TestTorch::test_sobolengine_draw_scrambled, test/test_torch.py::TestTorch::test_sobolengine_fast_forward, test/test_torch.py::TestTorch::test_sobolengine_fast_forward_scrambled, test/test_torch.py::TestTorch::test_sobolengine_first_point, test/test_torch.py::TestTorch::test_sobolengine_high_dim, test/test_torch.py::TestTorch::test_sobolengine_raise, test/test_torch.py::TestTorch::test_sobolengine_reset, test/test_torch.py::TestTorch::test_sobolengine_reset_scrambled, test/test_torch.py::TestTorch::test_sort_neg_dim, test/test_torch.py::TestTorch::test_split_neg_dim, test/test_torch.py::TestTorch::test_split_with_sizes_copy_out, test/test_torch.py::TestTorch::test_squeeze_neg_dim, test/test_torch.py::TestTorch::test_std_neg_dim, test/test_torch.py::TestTorch::test_storage_base_init, test/test_torch.py::TestTorch::test_storage_base_new, test/test_torch.py::TestTorch::test_storage_byteswap, test/test_torch.py::TestTorch::test_storage_casts, test/test_torch.py::TestTorch::test_storage_cycle_via_dict, test/test_torch.py::TestTorch::test_storage_cycle_via_slots, test/test_torch.py::TestTorch::test_storage_dead_weak_ref, test/test_torch.py::TestTorch::test_storage_dealloc, test/test_torch.py::TestTorch::test_storage_dealloc_resurrected, test/test_torch.py::TestTorch::test_storage_dealloc_subclass_resurrected, test/test_torch.py::TestTorch::test_storage_dealloc_subclass_zombie, test/test_torch.py::TestTorch::test_storage_dict_dealloc, test/test_torch.py::TestTorch::test_storage_error, test/test_torch.py::TestTorch::test_storage_error_no_attribute, test/test_torch.py::TestTorch::test_storage_finalizer_dealloc, test/test_torch.py::TestTorch::test_storage_fix_weakref_no_leak, test/test_torch.py::TestTorch::test_storage_from_tensor_dealloc, test/test_torch.py::TestTorch::test_storage_from_tensor_dealloc_resurrected, test/test_torch.py::TestTorch::test_storage_from_tensor_dealloc_zombie, test/test_torch.py::TestTorch::test_storage_preserve_nonhermetic_in_hermetic_context, test/test_torch.py::TestTorch::test_storage_resurrected_weak_ref, test/test_torch.py::TestTorch::test_storage_slot_dealloc, test/test_torch.py::TestTorch::test_storage_thread_safety, test/test_torch.py::TestTorch::test_storage_weakref_dealloc, test/test_torch.py::TestTorch::test_structseq_repr, test/test_torch.py::TestTorch::test_subclass_preserved, test/test_torch.py::TestTorch::test_subclass_tensors, test/test_torch.py::TestTorch::test_sum_neg_dim, test/test_torch.py::TestTorch::test_swap_basic, test/test_torch.py::TestTorch::test_swap_fail_slots, test/test_torch.py::TestTorch::test_t_not_2d_error, test/test_torch.py::TestTorch::test_tensor_base_init, test/test_torch.py::TestTorch::test_tensor_base_new, test/test_torch.py::TestTorch::test_tensor_ctor_scalar, test/test_torch.py::TestTorch::test_tensor_cycle_via_dict, test/test_torch.py::TestTorch::test_tensor_cycle_via_slots, test/test_torch.py::TestTorch::test_tensor_dead_weak_ref, test/test_torch.py::TestTorch::test_tensor_dict_dealloc, test/test_torch.py::TestTorch::test_tensor_finalizer_dealloc, test/test_torch.py::TestTorch::test_tensor_fix_weakref_no_leak, test/test_torch.py::TestTorch::test_tensor_item_no_warning, test/test_torch.py::TestTorch::test_tensor_ressurecting_clear, test/test_torch.py::TestTorch::test_tensor_resurrected_weak_ref, test/test_torch.py::TestTorch::test_tensor_set, test/test_torch.py::TestTorch::test_tensor_set_errors, test/test_torch.py::TestTorch::test_tensor_slot_dealloc, test/test_torch.py::TestTorch::test_tensor_weakref_dealloc, test/test_torch.py::TestTorch::test_tensor_where_scalar, test/test_torch.py::TestTorch::test_tensor_with_grad_to_scalar_warning, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_terminate_handler_on_crash, test/test_torch.py::TestTorch::test_to, test/test_torch.py::TestTorch::test_to_with_tensor, test/test_torch.py::TestTorch::test_topk_neg_dim, test/test_torch.py::TestTorch::test_torch_from_file, test/test_torch.py::TestTorch::test_transpose_neg_dim, test/test_torch.py::TestTorch::test_type, test/test_torch.py::TestTorch::test_type_alias, test/test_torch.py::TestTorch::test_type_conversion_via_dtype_name, test/test_torch.py::TestTorch::test_typed_storage_deprecation_warning, test/test_torch.py::TestTorch::test_typed_storage_internal_no_warning, test/test_torch.py::TestTorch::test_unbind_neg_dim, test/test_torch.py::TestTorch::test_unflatten, test/test_torch.py::TestTorch::test_unfold_neg_dim, test/test_torch.py::TestTorch::test_unsqueeze_neg_dim, test/test_torch.py::TestTorch::test_upsample_nearest1d_meta, test/test_torch.py::TestTorch::test_upsample_nearest2d_meta, test/test_torch.py::TestTorch::test_var_neg_dim, test/test_torch.py::TestTorch::test_warn_types, test/test_torch.py::TestTorch::test_wildcard_import, test/test_torch.py::TestVitalSignsCudaCPU::test_cuda_vitals_gpu_only_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test__local_scalar_dense_with_empty_tensor_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_cuda_errors_with_cpu_scalars_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_assertRaisesRegex_ignore_msg_non_native_device_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_edge_cases_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_edge_cases_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_edge_cases_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_p_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_p_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_p_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_p_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_bfloat16_neg_abs_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_bool_tensor_value_change_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_add_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_addcdiv_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_addcmul_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_atan2_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_copy_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_dist_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_div_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_eq_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_fmod_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_ge_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_gt_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_le_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_lerp_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_lt_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_map2_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_map_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_masked_fill_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_masked_scatter_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_masked_select_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_max_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_min_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_mul_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_ne_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_pow_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_remainder_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_sub_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_uint16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_uint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_uint64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_kstest_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_no_inf_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_no_inf_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_cuda_backward_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_euclidean_large_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_grad_p_lt_1_no_nan_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_non_contiguous_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_non_contiguous_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_norm_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_norm_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_same_inputs_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_check_tensor_all_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_check_tensor_internal_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_clone_all_dtypes_and_devices_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_clone_not_memory_dense_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_clone_zero_stride_dim_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_complex_half_experimental_warning_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_constants_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_conv_transposed_backward_agnostic_to_memory_format_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_conv_transposed_large_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_complex32, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_all_dtypes_and_devices_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_math_view_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_mem_overlap_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_transpose_math_view_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_transpose_math_view_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_transpose_math_view_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_corrcoef_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_corrcoef_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_corrcoef_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_cov_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cpp_warnings_have_python_context_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cummax_cummin_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cummax_discontiguous_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cummin_discontiguous_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cumprod_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cumsum_64bit_indexing_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cumsum_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cumsum_outer_dim_64bit_indexing_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_deepcopy_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deepcopy_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deepcopy_scalar_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deepcopy_scalar_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_cumsum_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_complex32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_uint16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_uint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_uint64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_interpolate_bilinear_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_replication_pad2d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_uint16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_uint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_uint64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_device_guard_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_dim_function_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_discontiguous_out_cumsum_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_dist_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_dtypetensor_warnings_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_expected_failure_xla_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_kstest_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_kstest_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_kstest_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_kstest_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_no_zero_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_no_zero_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_gather_backward_deterministic_path_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_gather_backward_one_dim_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_kstest_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scale_will_not_overflow_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaler_deprecated_warning_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaler_pass_itself_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_accumulation_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach0_fused0_AdamW_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach0_fused0_Adam_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach0_fused0_SGD_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach2_fused_True_AdamW_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach2_fused_True_Adam_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach2_fused_True_SGD_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach_True_fused1_AdamW_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach_True_fused1_Adam_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach_True_fused1_SGD_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_clipping_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_clipping_separate_unscale_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_multiple_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_penalty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_state_dict_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_unscale_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_unscale_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_unscale_sparse_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_update_scale_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_all_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_all_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_all_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_extreme_cases_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_extreme_cases_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_extreme_cases_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_spacing_list_length_error_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_spacing_list_length_error_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_spacing_list_length_error_cpu_int64, 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_large_inputs_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_add_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_fill_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_put_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_int64_upsample3d_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_invalid_shapes_grid_sampler_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_is_set_to_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_is_signed_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_complex32, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_float8_e4m3fn, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_float8_e4m3fnuz, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_float8_e5m2, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_float8_e5m2fnuz, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_uint16, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_uint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_uint64, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_large_cumprod_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_large_cumsum_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_int16, 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test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_int32, 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test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_AdaptiveAvgPool2d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_AdaptiveAvgPool3d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_AdaptiveMaxPool2d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_AvgPool3d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_CTCLoss_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_EmbeddingBag_max_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_FractionalMaxPool2d_cpu, 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, 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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, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_uint8, 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, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_shift_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_skip_xla_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_all_devices_non_blocking_False_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_all_devices_non_blocking_True_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_uint16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_uint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_uint64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_float64, 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_storage_use_count_cpu, 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 2025-12-04T08:17:35.3042582Z 2025-12-04T08:17:35.3042860Z Finished test_torch 1/1 ... [2025-12-04 08:17:35.246756][1089.929493551], took 0.23min 2025-12-04T08:17:35.3043764Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_torch/test_torch-ccc3c196195c7415.xml 2025-12-04T08:17:35.3266934Z Running test_utils 1/1 ... [2025-12-04 08:17:35.326422][1090.009159873] 2025-12-04T08:17:35.3267373Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:17:35.3269598Z Executing ['/opt/conda/envs/py_3.14/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'] ... [2025-12-04 08:17:35.326749] 2025-12-04T08:20:31.8238199Z 2025-12-04T08:20:31.8238977Z test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_utils_1.1_bc15cfc293b839af_.log 2025-12-04T08:20:32.0355488Z Running 6049 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_gpu, 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_gpu, 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::TestCollectEnv::test_smoke, 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, 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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, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_bool, 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, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_int16, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_bool, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cauchy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cauchy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cauchy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cauchy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdist_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdist_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_inverse_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_inverse_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_inverse_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_inverse_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_complex_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_complex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_complex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exponential_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exponential_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exponential_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exponential_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float8_e4m3fn, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float8_e4m3fnuz, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float8_e5m2, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float8_e5m2fnuz, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_uint16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_uint32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_3d_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_hash_tensor_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_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, 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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, 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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, 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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, 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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, 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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, 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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, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_mm_reduce_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_mm_reduce_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_mm_reduce_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_mm_reduce_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_sampled_addmm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_sampled_addmm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_sampled_addmm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_sampled_addmm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_bool, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_bfloat16, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_lowrank_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_lowrank_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_lowrank_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_lowrank_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch__scaled_mm_cpu_float8_e4m3fn, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch__scaled_mm_cpu_float8_e4m3fnuz, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch__scaled_mm_cpu_float8_e5m2, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch__scaled_mm_cpu_float8_e5m2fnuz, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch__scaled_mm_v2_cpu_float8_e4m3fn, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch__scaled_mm_v2_cpu_float8_e4m3fnuz, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch__scaled_mm_v2_cpu_float8_e5m2, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch__scaled_mm_v2_cpu_float8_e5m2fnuz, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triangular_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triangular_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triangular_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triangular_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_indices_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_indices_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_indices_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_indices_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_uint16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_uint32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_uint64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_complex_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_complex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_complex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_real_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_real_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_get_default_device_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_get_default_device_more_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_nn_module_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_set_default_device_cpu, test/test_utils.py::TestCppExtensionUtils::test_cc_compiler_is_ok, test/test_utils.py::TestCppExtensionUtils::test_cpp_compiler_is_ok, test/test_utils.py::TestTraceback::test_basic, test/test_utils.py::TestTraceback::test_captured_traceback, test/test_utils.py::TestTraceback::test_captured_traceback_format_all, test/test_utils.py::TestTraceback::test_captured_traceback_format_all_cached, test/test_utils.py::TestTraceback::test_format_traceback_short, test/test_utils.py::TestTryImport::test_import_existing, test/test_utils.py::TestTryImport::test_import_imported, test/test_utils.py::TestTryImport::test_import_missing, test/test_utils.py::TestDeprecate::test_deprecated 2025-12-04T08:20:32.2440507Z 2025-12-04T08:20:32.2441149Z Finished test_utils 1/1 ... [2025-12-04 08:20:31.829206][1266.51194213], took 2.94min 2025-12-04T08:20:32.2442073Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_utils/test_utils-32b6c8e5619ed1eb.xml 2025-12-04T08:20:32.2442968Z Running test_ci_sanity_check_fail 1/1 ... [2025-12-04 08:20:32.005842][1266.688579928] 2025-12-04T08:20:32.2443450Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:20:32.2444509Z Executing ['/opt/conda/envs/py_3.14/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'] ... [2025-12-04 08:20:32.006187] 2025-12-04T08:20:43.7199748Z Finished test_ci_sanity_check_fail 1/1 ... [2025-12-04 08:20:43.719600][1278.40233743], took 0.20min 2025-12-04T08:20:43.7208358Z Running test_fx 1/1 ... [2025-12-04 08:20:43.720689][1278.403430331] 2025-12-04T08:20:43.7209053Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:20:43.7211871Z Executing ['/opt/conda/envs/py_3.14/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'] ... [2025-12-04 08:20:43.720976] 2025-12-04T08:24:28.9364464Z 2025-12-04T08:24:28.9380106Z test_fx 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_1.1_006b6299135b3298_.log 2025-12-04T08:24:28.9867833Z Running 1272 items in this shard: test/test_fx.py::TestCommonPass::test_correctness_CSEPass_MutationInput_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_MutationMetadata_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_MutationTorchTensorCall_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_Mutation_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_ReturnList_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_TakeList_cpu, test/test_fx.py::TestCommonPass::test_correctness_factory_CSEPass_FactoryFunctionCall_cpu, test/test_fx.py::TestCommonPass::test_correctness_factory_CSEPass_MutationFactory_cpu, test/test_fx.py::TestCSEPass::test_banned_list, test/test_fx.py::TestCSEPass::test_empty, test/test_fx.py::TestCSEPass::test_immutable_list_multiple_entries, test/test_fx.py::TestCSEPass::test_immutable_list_type, test/test_fx.py::TestCSEPass::test_kwarg, test/test_fx.py::TestCSEPass::test_nested_immutable_list_type, test/test_fx.py::TestCSEPass::test_nochange, test/test_fx.py::TestCSEPass::test_rand_like, test/test_fx.py::TestCSEPass::test_rand_n, test/test_fx.py::TestCSEPass::test_random, test/test_fx.py::TestCSEPass::test_simple, test/test_fx.py::TestCSEPass::test_simple_2, test/test_fx.py::TestCSEPass::test_simple_multiple_same_ops, test/test_fx.py::TestCSEPass::test_two_args, test/test_fx.py::TestCSEPass::test_two_args_default, test/test_fx.py::TestDCE::test_dead_chain, test/test_fx.py::TestDCE::test_dead_getattr, test/test_fx.py::TestDCE::test_dead_placeholder, test/test_fx.py::TestDCE::test_dead_placeholder_with_user, test/test_fx.py::TestDCE::test_impure_custom, test/test_fx.py::TestDCE::test_impure_kwargs, test/test_fx.py::TestDCE::test_impure_nodes_args, test/test_fx.py::TestDCE::test_impure_random, test/test_fx.py::TestDCE::test_keep_collectives, test/test_fx.py::TestDCE::test_keep_collectives_no_overload, test/test_fx.py::TestDCE::test_keep_module_with_side_effects, test/test_fx.py::TestDCE::test_keep_setitem, test/test_fx.py::TestDCE::test_keep_torch_assert, test/test_fx.py::TestDCE::test_simple, test/test_fx.py::TestConstFold::test_check_inline_non_const, test/test_fx.py::TestConstFold::test_check_inline_non_const_mult_return, test/test_fx.py::TestConstFold::test_check_skip_folding_quant_dequant_pattern, test/test_fx.py::TestConstFold::test_const_fold_basic_one_attr_name_collision, test/test_fx.py::TestConstFold::test_const_fold_basic_one_attr_no_name_collision, test/test_fx.py::TestConstFold::test_const_fold_basic_placeholder_reordered, test/test_fx.py::TestConstFold::test_const_fold_basic_two_attr, test/test_fx.py::TestConstFold::test_const_fold_basic_two_attr_three_input, test/test_fx.py::TestConstFold::test_const_fold_has_inlined_call_module_node, test/test_fx.py::TestConstFold::test_const_fold_module_attr, test/test_fx.py::TestConstFold::test_const_fold_multi_const_folded_attrs, test/test_fx.py::TestConstFold::test_const_fold_noop, test/test_fx.py::TestConstFold::test_const_fold_partial_graph, test/test_fx.py::TestConstFold::test_const_fold_submod_hierarchy, test/test_fx.py::TestConstFold::test_const_fold_tensor_meta, test/test_fx.py::TestConstFold::test_const_fold_unused_placeholder, test/test_fx.py::TestConstFold::test_dict_output, test/test_fx.py::TestConstFold::test_do_not_fold_impure_subgraph, test/test_fx.py::TestConstFold::test_fold_module, test/test_fx.py::TestConstFold::test_fold_pure_subgraph, test/test_fx.py::TestConstFold::test_retain_node_meta, test/test_fx.py::TestConstFold::test_three_outputs, test/test_fx.py::TestConstFold::test_two_outputs, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_dim_const, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_ndim_const, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_nelement_const, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_numel_const, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_shape_const, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_size_const, test/test_fx.py::AnnotationsTest::test_annotate, test/test_fx.py::AnnotationsTest::test_annotations, test/test_fx.py::AnnotationsTest::test_broadcasting1, test/test_fx.py::AnnotationsTest::test_broadcasting2, test/test_fx.py::AnnotationsTest::test_broadcasting3, test/test_fx.py::AnnotationsTest::test_consistency, test/test_fx.py::AnnotationsTest::test_precision, test/test_fx.py::TypeCheckerTest::test_flatten_fully_static, test/test_fx.py::TypeCheckerTest::test_resnet50, test/test_fx.py::TypeCheckerTest::test_symbolic_add_with_broadcast, test/test_fx.py::TypeCheckerTest::test_symbolic_add_with_broadcast_2, test/test_fx.py::TypeCheckerTest::test_type_check_add_false, test/test_fx.py::TypeCheckerTest::test_type_check_add_true, test/test_fx.py::TypeCheckerTest::test_type_check_add_with_broadcast, test/test_fx.py::TypeCheckerTest::test_type_check_add_with_scalar, test/test_fx.py::TypeCheckerTest::test_type_check_batch_norm_2D, test/test_fx.py::TypeCheckerTest::test_type_check_batch_norm_2D_broadcast, test/test_fx.py::TypeCheckerTest::test_type_check_batch_norm_2D_false, test/test_fx.py::TypeCheckerTest::test_type_check_batch_norm_symbolic, test/test_fx.py::TypeCheckerTest::test_type_check_conv2D, test/test_fx.py::TypeCheckerTest::test_type_check_conv2D_2, test/test_fx.py::TypeCheckerTest::test_type_check_conv2D_2_fully_static, test/test_fx.py::TypeCheckerTest::test_type_check_conv2D_maxpool2d_flatten, test/test_fx.py::TypeCheckerTest::test_type_check_conv2D_types, test/test_fx.py::TypeCheckerTest::test_type_check_flatten, test/test_fx.py::TypeCheckerTest::test_type_check_flatten3, test/test_fx.py::TypeCheckerTest::test_type_check_flatten_2, test/test_fx.py::TypeCheckerTest::test_type_check_reshape_dyn_false, test/test_fx.py::TypeCheckerTest::test_type_check_reshape_dyn_true, test/test_fx.py::TypeCheckerTest::test_type_check_reshape_dyn_true_param_false, test/test_fx.py::TypeCheckerTest::test_type_check_reshape_false, test/test_fx.py::TypeCheckerTest::test_type_check_reshape_true, test/test_fx.py::TypeCheckerTest::test_type_check_symbolic_inferenceconv2D_maxpool2d_flatten, test/test_fx.py::TypeCheckerTest::test_type_check_transpose_False, test/test_fx.py::TypeCheckerTest::test_type_check_transpose_true, test/test_fx.py::TypeCheckerTest::test_type_maxpool2d_fully_static, test/test_fx.py::TypeCheckerTest::test_type_typechecl_maxpool2d_3dinput, test/test_fx.py::TypeCheckerTest::test_typecheck_basicblock, test/test_fx.py::TestMatcher::test_matcher_with_name_node_map_function, test/test_fx.py::TestMatcher::test_matcher_with_name_node_map_module, test/test_fx.py::TestMatcher::test_split_to_graph_and_name_node_map, test/test_fx.py::TestMatcher::test_subgraph_matcher_ignore_literals, test/test_fx.py::TestMatcher::test_subgraph_matcher_with_attributes, test/test_fx.py::TestMatcher::test_subgraph_matcher_with_list, test/test_fx.py::TestMatcher::test_subgraph_matcher_with_list_bad, test/test_fx.py::TestMatcher::test_variatic_arg_matching, test/test_fx.py::TestPassManager::test_pass_manager, test/test_fx.py::TestPassManager::test_pass_manager_bad_checks, test/test_fx.py::TestPassManager::test_pass_manager_checks, test/test_fx.py::TestPassManager::test_pass_manager_error, test/test_fx.py::TestPassManager::test_this_before_that_pass_constraint, test/test_fx.py::TestPassManager::test_topological_sort, test/test_fx.py::TestSourceMatcher::test_legalize_slice, test/test_fx.py::TestSourceMatcher::test_module_partitioner_conv_relu_maxpool, test/test_fx.py::TestSourceMatcher::test_module_partitioner_conv_relu_maxpool_torch_fn_export_strict_False, test/test_fx.py::TestSourceMatcher::test_module_partitioner_conv_relu_maxpool_torch_fn_export_strict_True, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_conv_relu_conv, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_conv_relu_conv_torch_fn_export_strict_False, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_conv_relu_conv_torch_fn_export_strict_True, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_linear_relu_linear, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_linear_relu_linear_torch_fn_export_strict_False, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_linear_relu_linear_torch_fn_export_strict_True, test/test_fx.py::TestSourceMatcher::test_module_partitioner_linear_relu_linear, test/test_fx.py::TestSourceMatcher::test_module_partitioner_linear_relu_linear_torch_fn_export_strict_False, test/test_fx.py::TestSourceMatcher::test_module_partitioner_linear_relu_linear_torch_fn_export_strict_True, test/test_fx.py::TestSourceMatcher::test_module_partitioner_weight_tied_strict_False, test/test_fx.py::TestSourceMatcher::test_module_partitioner_weight_tied_strict_True, test/test_fx.py::TestSubgraphRewriter::test_matching_pattern_with_list_type_arg, test/test_fx.py::TestSubgraphRewriter::test_matching_variable_arguments, test/test_fx.py::TestSubgraphRewriter::test_replace_pattern_with_callback, test/test_fx.py::TestSubgraphRewriter::test_replace_pattern_with_filters, test/test_fx.py::TestSubgraphRewriter::test_replaced_nodes, test/test_fx.py::TestSubgraphRewriter::test_replacement_with_attrs, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_annotations_int, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_call_method, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_correct_output_replacement, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_graph_argument_order, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_internal_pattern_nodes_cannot_have_users_that_are_not_matched, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_local_revert, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_multiple_pattern_match, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_nodes_with_kwargs, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_pattern_is_entire_graph, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_pattern_output_pattern_node_can_have_users_that_are_not_matched, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_placeholder_matching, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_preserves_logic, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_replace_consecutive_submodules, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_replace_with_duplicated_outputs, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_replace_with_multiple_outputs, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_replaces_referenced_submodules, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_single_pattern_match, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_traced_as_callable, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_with_oneliner_pattern, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_with_overlapping_matches, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_with_trivial_replacement, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_with_unused_args, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_with_unused_results, test/test_fx.py::TestFX::test_all_input_nodes, test/test_fx.py::TestFX::test_annotation_with_future, test/test_fx.py::TestFX::test_annotations_empty_tuple, test/test_fx.py::TestFX::test_annotations_with_forward_references, test/test_fx.py::TestFX::test_annotations_with_no_forward_references, test/test_fx.py::TestFX::test_annotations_with_non_torch_reference_and_internal_forward_references, test/test_fx.py::TestFX::test_annotations_with_non_torch_reference_and_no_internal_forward_references, test/test_fx.py::TestFX::test_args_kwargs, test/test_fx.py::TestFX::test_args_kwargs_no_self, test/test_fx.py::TestFX::test_ast_rewriter_reassigns_submodules, test/test_fx.py::TestFX::test_ast_rewriter_rewrites_assert, test/test_fx.py::TestFX::test_ast_rewriter_rewrites_assert_with_message, test/test_fx.py::TestFX::test_ast_rewriter_wrap, test/test_fx.py::TestFX::test_ast_rewriter_wrap_fn_directly, test/test_fx.py::TestFX::test_ast_rewriter_wrap_with_submodule, test/test_fx.py::TestFX::test_ast_rewriter_wrapped_via_decorator, test/test_fx.py::TestFX::test_ast_rewriter_wrapped_via_decorator_and_transformed, test/test_fx.py::TestFX::test_autowrap_functions, test/test_fx.py::TestFX::test_concrete_arg_none_assert, test/test_fx.py::TestFX::test_construct_root_dict, test/test_fx.py::TestFX::test_control_flow_tracing, test/test_fx.py::TestFX::test_copy_it, test/test_fx.py::TestFX::test_copy_no_remap, test/test_fx.py::TestFX::test_ctx_mgr, test/test_fx.py::TestFX::test_custom_codegen, test/test_fx.py::TestFX::test_custom_codegen_with_transformer, test/test_fx.py::TestFX::test_custom_import, test/test_fx.py::TestFX::test_custom_proxy_dynamic_value, test/test_fx.py::TestFX::test_custom_proxy_input_dependent_control_flow, test/test_fx.py::TestFX::test_custom_proxy_type, test/test_fx.py::TestFX::test_custom_proxy_type_literal, test/test_fx.py::TestFX::test_custom_traceback_not_raised_when_exception_source_is_submodule, test/test_fx.py::TestFX::test_custom_traceback_raised_when_exception_source_is_graphmodule, test/test_fx.py::TestFX::test_deepcopy_graph_with_tracer_cls, test/test_fx.py::TestFX::test_deepcopy_graphmodule, test/test_fx.py::TestFX::test_deepcopy_graphmodule_with_transform, test/test_fx.py::TestFX::test_deepcopy_no_recursion, test/test_fx.py::TestFX::test_deepcopy_recursion_depth, test/test_fx.py::TestFX::test_deepcopy_tracer, test/test_fx.py::TestFX::test_deepcopy_with_submods_params, test/test_fx.py::TestFX::test_delete_unused_submodules_leaf, test/test_fx.py::TestFX::test_delete_unused_values, test/test_fx.py::TestFX::test_dict, test/test_fx.py::TestFX::test_direct_param_use, test/test_fx.py::TestFX::test_disallow_override, test/test_fx.py::TestFX::test_ellipsis, test/test_fx.py::TestFX::test_empty_graph_codegen, test/test_fx.py::TestFX::test_enum, test/test_fx.py::TestFX::test_erase_node_error, test/test_fx.py::TestFX::test_example_shape_prop, test/test_fx.py::TestFX::test_find_uses, test/test_fx.py::TestFX::test_fn_type_annotation_empty, test/test_fx.py::TestFX::test_fn_type_annotations, test/test_fx.py::TestFX::test_fx_and_or, test/test_fx.py::TestFX::test_fx_create_arg, test/test_fx.py::TestFX::test_fx_shifts, test/test_fx.py::TestFX::test_fx_stateless, test/test_fx.py::TestFX::test_get_torch_func_signature, test/test_fx.py::TestFX::test_getitem, test/test_fx.py::TestFX::test_getitem_subproc, test/test_fx.py::TestFX::test_graph_edit_with_proxy, test/test_fx.py::TestFX::test_graph_fns, test/test_fx.py::TestFX::test_graph_module, test/test_fx.py::TestFX::test_graph_module_init_buffer_param_copied_dict_init, test/test_fx.py::TestFX::test_graph_module_init_buffer_param_copied_mod_init, test/test_fx.py::TestFX::test_graph_module_replicate_for_dp, test/test_fx.py::TestFX::test_graph_unique_names, test/test_fx.py::TestFX::test_graph_unique_names_manual, test/test_fx.py::TestFX::test_immutable_dict_pytree_ops, test/test_fx.py::TestFX::test_immutable_list_pytree_ops, test/test_fx.py::TestFX::test_imul_code_print, test/test_fx.py::TestFX::test_inf_nan, test/test_fx.py::TestFX::test_inf_nan_kwds, test/test_fx.py::TestFX::test_informative_co_filename, test/test_fx.py::TestFX::test_inline_graph, test/test_fx.py::TestFX::test_insert_arg, test/test_fx.py::TestFX::test_insertion_point, test/test_fx.py::TestFX::test_interpreter, test/test_fx.py::TestFX::test_interpreter_boxed_run_argument_validation, test/test_fx.py::TestFX::test_interpreter_default_args, test/test_fx.py::TestFX::test_interpreter_gc_values, test/test_fx.py::TestFX::test_interpreter_noop_resnet18, test/test_fx.py::TestFX::test_interpreter_not_enough_args, test/test_fx.py::TestFX::test_interpreter_onthefly_swap, test/test_fx.py::TestFX::test_interpreter_other_graph, test/test_fx.py::TestFX::test_interpreter_partial_eval, test/test_fx.py::TestFX::test_interpreter_run_node_override, test/test_fx.py::TestFX::test_interpreter_star_args, test/test_fx.py::TestFX::test_interpreter_with_codegen, test/test_fx.py::TestFX::test_layout, test/test_fx.py::TestFX::test_leaf_module, test/test_fx.py::TestFX::test_lineno_map, test/test_fx.py::TestFX::test_matmul_tracing, test/test_fx.py::TestFX::test_metadata_on_ph, test/test_fx.py::TestFX::test_module_deepcopy_edit_nodes, test/test_fx.py::TestFX::test_move_before, test/test_fx.py::TestFX::test_multi_insert_point, test/test_fx.py::TestFX::test_multiple_default_args, test/test_fx.py::TestFX::test_named_tuple_inlined, test/test_fx.py::TestFX::test_namedtuple_return_qualname, test/test_fx.py::TestFX::test_namedtuple_return_trace, test/test_fx.py::TestFX::test_native_callable, test/test_fx.py::TestFX::test_nn_module_stack, test/test_fx.py::TestFX::test_no_mutation, test/test_fx.py::TestFX::test_node_tagging, test/test_fx.py::TestFX::test_nonetype_annotation, test/test_fx.py::TestFX::test_partial_trace, test/test_fx.py::TestFX::test_pickle_custom_import, test/test_fx.py::TestFX::test_pickle_graphmodule, test/test_fx.py::TestFX::test_pickle_nonetype_annotation, test/test_fx.py::TestFX::test_pickle_torch_custom_ops, test/test_fx.py::TestFX::test_prepend_does_not_leak, test/test_fx.py::TestFX::test_prepend_self, test/test_fx.py::TestFX::test_pretty_print, test/test_fx.py::TestFX::test_pretty_print_graph, test/test_fx.py::TestFX::test_pretty_print_node, test/test_fx.py::TestFX::test_pretty_print_targets, test/test_fx.py::TestFX::test_print_graph, test/test_fx.py::TestFX::test_profiler_multiple_modules, test/test_fx.py::TestFX::test_profiler_nested_graph_modules, test/test_fx.py::TestFX::test_profiler_ranges_side_effect, test/test_fx.py::TestFX::test_profiler_stack_trace_augmentation, test/test_fx.py::TestFX::test_proxy_deepcopy_with_tracer, test/test_fx.py::TestFX::test_proxy_deepcopy_without_tracer, test/test_fx.py::TestFX::test_pytree, test/test_fx.py::TestFX::test_pytree_concrete, test/test_fx.py::TestFX::test_reassign_args_kwargs_uses, test/test_fx.py::TestFX::test_regular_and_default_args, test/test_fx.py::TestFX::test_remove_uses, test/test_fx.py::TestFX::test_remove_uses_with_custom_filter, test/test_fx.py::TestFX::test_replace_input, test/test_fx.py::TestFX::test_replace_uses, test/test_fx.py::TestFX::test_reserved_getattr, test/test_fx.py::TestFX::test_return_tuple, test/test_fx.py::TestFX::test_return_type_exists, test/test_fx.py::TestFX::test_return_type_exists_pre_pep585, test/test_fx.py::TestFX::test_script_method_trace, test/test_fx.py::TestFX::test_script_tensor_constant, test/test_fx.py::TestFX::test_sequential, test/test_fx.py::TestFX::test_shape_prop_aggregate, test/test_fx.py::TestFX::test_shape_prop_layout, test/test_fx.py::TestFX::test_shape_prop_layout_3d, test/test_fx.py::TestFX::test_shape_prop_unbacked_sym, test/test_fx.py::TestFX::test_single_default_arg, test/test_fx.py::TestFX::test_snake_case, test/test_fx.py::TestFX::test_sqrt, test/test_fx.py::TestFX::test_stack_traces, test/test_fx.py::TestFX::test_stack_traces_with_transformer, test/test_fx.py::TestFX::test_string_literal_return, test/test_fx.py::TestFX::test_submodule_manipulation_API, test/test_fx.py::TestFX::test_symbolic_trace_assert, test/test_fx.py::TestFX::test_symbolic_trace_sequential, test/test_fx.py::TestFX::test_tensor_attribute, test/test_fx.py::TestFX::test_tensor_attribute_coalseced, test/test_fx.py::TestFX::test_tensor_constant, test/test_fx.py::TestFX::test_throw_out_variant, test/test_fx.py::TestFX::test_torch_custom_ops, test/test_fx.py::TestFX::test_torch_fx_getattr, test/test_fx.py::TestFX::test_torch_fx_len, test/test_fx.py::TestFX::test_torch_op_overloads, test/test_fx.py::TestFX::test_torchbind_class_attribute_in_fx, test/test_fx.py::TestFX::test_torchbind_class_attribute_in_fx_tensor_arg, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_dict_int_keys, test/test_fx.py::TestFX::test_trace_dict_proxy_keys, test/test_fx.py::TestFX::test_trace_fn_constant, test/test_fx.py::TestFX::test_trace_function, test/test_fx.py::TestFX::test_trace_multiple_funcs, test/test_fx.py::TestFX::test_trace_return_dataclass, test/test_fx.py::TestFX::test_trace_return_dataclass_nested, test/test_fx.py::TestFX::test_trace_return_namedtuple, test/test_fx.py::TestFX::test_tracing_graphmodules_as_leaf_submodules, test/test_fx.py::TestFX::test_transformer_multi_outputs, test/test_fx.py::TestFX::test_transformer_noop, test/test_fx.py::TestFX::test_transformer_op_swap, test/test_fx.py::TestFX::test_transformer_preserves_nn_module_stack_for_get_attr, test/test_fx.py::TestFX::test_tuple_no_subscript, test/test_fx.py::TestFX::test_typename_print, test/test_fx.py::TestFX::test_typename_print_pre_pep585, test/test_fx.py::TestFX::test_typename_print_union, 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_grouped_mm, 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_scaled_grouped_mm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_scaled_mm, 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_grid_sampler_3d_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_hash_tensor_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 2025-12-04T08:24:29.0333570Z 2025-12-04T08:24:29.0333843Z Finished test_fx 1/1 ... [2025-12-04 08:24:28.937562][1503.620296035], took 3.75min 2025-12-04T08:24:29.0334743Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_fx/test_fx-879067a3ca2075c0.xml 2025-12-04T08:24:29.0375965Z Running test_python_dispatch 1/1 ... [2025-12-04 08:24:29.037307][1503.720044489] 2025-12-04T08:24:29.0376472Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:24:29.0397386Z Executing ['/opt/conda/envs/py_3.14/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'] ... [2025-12-04 08:24:29.039492] 2025-12-04T08:24:37.8686598Z 2025-12-04T08:24:37.8687515Z test_python_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_python_dispatch_1.1_b7f47055e19e6935_.log 2025-12-04T08:24:37.8732261Z Running 119 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_dispatcher_error_filenames, test/test_python_dispatch.py::TestPythonRegistration::test_dispatchkeyset_eq, test/test_python_dispatch.py::TestPythonRegistration::test_dispatchkeyset_pickle, test/test_python_dispatch.py::TestPythonRegistration::test_error_for_unsupported_ns_or_kind, test/test_python_dispatch.py::TestPythonRegistration::test_error_if_fn_not_callable, test/test_python_dispatch.py::TestPythonRegistration::test_extend_library_with_dispatch_key_arg, test/test_python_dispatch.py::TestPythonRegistration::test_fallback, test/test_python_dispatch.py::TestPythonRegistration::test_fallback_fallthrough, test/test_python_dispatch.py::TestPythonRegistration::test_fallback_keyset, test/test_python_dispatch.py::TestPythonRegistration::test_fallthrough_for_dense_key_with_meta_in_tls, test/test_python_dispatch.py::TestPythonRegistration::test_finalizer, test/test_python_dispatch.py::TestPythonRegistration::test_override_aten_ops_with_multiple_libraries, test/test_python_dispatch.py::TestPythonRegistration::test_override_cpu_sum, test/test_python_dispatch.py::TestPythonRegistration::test_override_cuda_with_jiterator, test/test_python_dispatch.py::TestPythonRegistration::test_register_fallthrough, test/test_python_dispatch.py::TestPythonRegistration::test_returning_symint, test/test_python_dispatch.py::TestPythonDispatch::test_all_same_mode, test/test_python_dispatch.py::TestPythonDispatch::test_autograd_in_attr, test/test_python_dispatch.py::TestPythonDispatch::test_basic, test/test_python_dispatch.py::TestPythonDispatch::test_capture_logs_with_torch_dispatch_mode, test/test_python_dispatch.py::TestPythonDispatch::test_construct_int_tensor, test/test_python_dispatch.py::TestPythonDispatch::test_custom_autograd, test/test_python_dispatch.py::TestPythonDispatch::test_custom_dispatch_mode_not_supports_higher_order_operators, test/test_python_dispatch.py::TestPythonDispatch::test_custom_dispatch_mode_supports_higher_order_operators, 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_once_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_dispatch_uint64, 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_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 2025-12-04T08:24:37.8776964Z 2025-12-04T08:24:37.8777259Z Finished test_python_dispatch 1/1 ... [2025-12-04 08:24:37.868533][1512.551274002], took 0.15min 2025-12-04T08:24:37.8778307Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_python_dispatch/test_python_dispatch-999367f2211c1ebf.xml 2025-12-04T08:24:37.9450643Z Running test_tensor_creation_ops 1/1 ... [2025-12-04 08:24:37.944776][1512.627514196] 2025-12-04T08:24:37.9451141Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:24:37.9474808Z Executing ['/opt/conda/envs/py_3.14/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'] ... [2025-12-04 08:24:37.945772] 2025-12-04T08:25:14.4484534Z 2025-12-04T08:25:14.4485453Z 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_36ea97b271ffae2d_.log 2025-12-04T08:25:14.4744492Z Running 651 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_channels_last_large_inputs_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_large_tensor_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_mem_overlap_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_misaligned_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_multi_batch_cpu_float32, 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_size1_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_stack_cross_devices_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_trailing_dim_cpu_float32, 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_concat_empty_list_error_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_bounds_checking_cpu, 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_rand_like_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_randint_like_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_randn_like_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 2025-12-04T08:25:14.4992784Z 2025-12-04T08:25:14.4993114Z Finished test_tensor_creation_ops 1/1 ... [2025-12-04 08:25:14.431613][1549.114345992], took 0.61min 2025-12-04T08:25:14.4994181Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_tensor_creation_ops/test_tensor_creation_ops-4a046ef460c0625d.xml 2025-12-04T08:25:14.5422723Z Running test_nn 1/1 ... [2025-12-04 08:25:14.541992][1549.224112029] 2025-12-04T08:25:14.5423161Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:25:14.5445889Z Executing ['/opt/conda/envs/py_3.14/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'] ... [2025-12-04 08:25:14.544383] 2025-12-04T08:27:21.3818379Z 2025-12-04T08:27:21.3819175Z test_nn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_nn_1.1_0e5f4b547e6702dd_.log 2025-12-04T08:27:21.5023650Z Running 2275 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_2D_inference_NCHW_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_cpu_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NHWC_vs_NCHW_float32, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NHWC_vs_NCHW_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NHWC_vs_NCHW_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NHWC_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NHWC_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NHWC_vs_cpu_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NHWC_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NHWC_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NHWC_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_cpu_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NHWC_vs_NCHW_float32, test/test_nn.py::TestNN::test_batchnorm_2D_train_NHWC_vs_NCHW_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NHWC_vs_NCHW_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NHWC_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_2D_train_NHWC_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NHWC_vs_cpu_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NHWC_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_2D_train_NHWC_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NHWC_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_cpu_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NHWC_vs_NCHW_float32, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NHWC_vs_NCHW_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NHWC_vs_NCHW_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NHWC_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NHWC_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NHWC_vs_cpu_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NHWC_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NHWC_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NHWC_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_cpu_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NHWC_vs_NCHW_float32, test/test_nn.py::TestNN::test_batchnorm_3D_train_NHWC_vs_NCHW_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NHWC_vs_NCHW_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NHWC_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_3D_train_NHWC_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NHWC_vs_cpu_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NHWC_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_3D_train_NHWC_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NHWC_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_buffer_update_when_stats_are_not_tracked, test/test_nn.py::TestNN::test_batchnorm_cudnn_half, test/test_nn.py::TestNN::test_batchnorm_cudnn_nhwc, test/test_nn.py::TestNN::test_batchnorm_half_overflow, test/test_nn.py::TestNN::test_batchnorm_load_state_dict, test/test_nn.py::TestNN::test_batchnorm_nhwc_cpu, test/test_nn.py::TestNN::test_batchnorm_nhwc_cuda, test/test_nn.py::TestNN::test_batchnorm_non_contig_cpu_BatchNorm2d, test/test_nn.py::TestNN::test_batchnorm_non_contig_cpu_SyncBatchNorm, test/test_nn.py::TestNN::test_batchnorm_nonaffine_cuda_half_input, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_bias_is_not_same_size_as_input, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_less_than_one_value_per_channel, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_running_mean_is_not_same_size_as_input, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_running_var_is_not_same_size_as_input, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_running_var_or_running_mean_have_forward_grad, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_weight_is_not_same_size_as_input, test/test_nn.py::TestNN::test_bce_loss_always_nonnegative, test/test_nn.py::TestNN::test_bce_loss_broadcasts_weights, test/test_nn.py::TestNN::test_bce_loss_input_range, test/test_nn.py::TestNN::test_bce_loss_size_mismatch, test/test_nn.py::TestNN::test_bce_with_logits_broadcasts_pos_weights, test/test_nn.py::TestNN::test_bce_with_logits_broadcasts_weights, test/test_nn.py::TestNN::test_bce_with_logits_gives_same_result_as_sigmoid_and_bce_loss, test/test_nn.py::TestNN::test_bce_with_logits_gives_same_result_as_sigmoid_and_bce_loss_large_tensors_with_grad, test/test_nn.py::TestNN::test_bce_with_logits_has_correct_forward_grad, test/test_nn.py::TestNN::test_bce_with_logits_has_correct_grad_at_zero, test/test_nn.py::TestNN::test_bce_with_logits_ones_in_pos_weights_are_the_same_as_none, test/test_nn.py::TestNN::test_bce_with_logits_raises_if_target_and_input_are_different_size, test/test_nn.py::TestNN::test_bce_with_logits_stability, test/test_nn.py::TestNN::test_bce_with_logits_with_pos_weight_has_correct_grad_at_zero, test/test_nn.py::TestNN::test_bilinear, test/test_nn.py::TestNN::test_bilinear_broadcasting, test/test_nn.py::TestNN::test_bilinear_no_bias, test/test_nn.py::TestNN::test_bilinear_non_contiguous, test/test_nn.py::TestNN::test_bilinear_value_error, test/test_nn.py::TestNN::test_broadcast_double_backwards_gpu, test/test_nn.py::TestNN::test_broadcast_no_grad, test/test_nn.py::TestNN::test_broadcast_not_requiring_grad, test/test_nn.py::TestNN::test_buffer_bad_module_subclass, test/test_nn.py::TestNN::test_buffer_not_persistent, test/test_nn.py::TestNN::test_buffer_not_persistent_assign, test/test_nn.py::TestNN::test_buffer_not_persistent_del, test/test_nn.py::TestNN::test_buffer_not_persistent_load, test/test_nn.py::TestNN::test_buffer_not_persistent_overwrite, test/test_nn.py::TestNN::test_buffers_and_named_buffers, test/test_nn.py::TestNN::test_call_supports_python_dict_output, test/test_nn.py::TestNN::test_channel_shuffle_input_checks, test/test_nn.py::TestNN::test_channel_shuffle_return_alias_of_self, test/test_nn.py::TestNN::test_children, test/test_nn.py::TestNN::test_container_copy, test/test_nn.py::TestNN::test_convert_sync_batchnorm, test/test_nn.py::TestNN::test_cosine_embedding_loss_error_on_diff_shapes, test/test_nn.py::TestNN::test_cosine_embedding_loss_error_on_nonexpandable_shapes, test/test_nn.py::TestNN::test_cosine_embedding_loss_invalid_shape, test/test_nn.py::TestNN::test_cosine_embedding_loss_margin_no_reduce, test/test_nn.py::TestNN::test_cosine_embedding_loss_no_reduce, test/test_nn.py::TestNN::test_cosine_embedding_loss_with_diff_type, test/test_nn.py::TestNN::test_cosine_similarity, test/test_nn.py::TestNN::test_cross_entropy_loss, test/test_nn.py::TestNN::test_cross_entropy_loss_precision, test/test_nn.py::TestNN::test_cross_entropy_loss_zero_div, test/test_nn.py::TestNN::test_cudnn_forward_exception, test/test_nn.py::TestNN::test_cudnn_rnn_dropout_states_device, test/test_nn.py::TestNN::test_cudnn_weight_format, test/test_nn.py::TestNN::test_cudnn_weight_tying, test/test_nn.py::TestNN::test_dir, test/test_nn.py::TestNN::test_dir_digit, test/test_nn.py::TestNN::test_elu_inplace_gradgrad, test/test_nn.py::TestNN::test_elu_inplace_on_view, test/test_nn.py::TestNN::test_error_RNN_seq_len_zero, test/test_nn.py::TestNN::test_extra_state, test/test_nn.py::TestNN::test_extra_state_missing_get_extra_state, test/test_nn.py::TestNN::test_extra_state_missing_set_extra_state, test/test_nn.py::TestNN::test_extra_state_non_dict, test/test_nn.py::TestNN::test_fb_fc_packed, test/test_nn.py::TestNN::test_flatten, test/test_nn.py::TestNN::test_fold_invalid_arg, test/test_nn.py::TestNN::test_fractional_max_pool2d_invalid_output_ratio, test/test_nn.py::TestNN::test_gaussian_nll_loss_args, test/test_nn.py::TestNN::test_gaussian_nll_loss_broadcasting, test/test_nn.py::TestNN::test_gaussian_nll_loss_scalar_var, test/test_nn.py::TestNN::test_get_buffer, test/test_nn.py::TestNN::test_get_buffer_from_submodules, test/test_nn.py::TestNN::test_getattr_with_property, test/test_nn.py::TestNN::test_grid_sample, test/test_nn.py::TestNN::test_grid_sample_3d, test/test_nn.py::TestNN::test_grid_sample_error_checking, test/test_nn.py::TestNN::test_grid_sample_nearest_neighbor_rounding_mode_consistency, test/test_nn.py::TestNN::test_hardtanh_backward, test/test_nn.py::TestNN::test_hardtanh_inplace_gradgrad, test/test_nn.py::TestNN::test_huber_loss_invalid_delta, test/test_nn.py::TestNN::test_inplace_thnn, test/test_nn.py::TestNN::test_interpolate, test/test_nn.py::TestNN::test_interpolate_bicubic_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_2d_zero_dim, test/test_nn.py::TestNN::test_interpolate_bicubic_2d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_shared_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_shared_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_skewed_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_skewed_2d_align_corners, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_skewed_2d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_skewed_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_tuple_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_tuple_2d_align_corners, test/test_nn.py::TestNN::test_interpolate_bicubic_tuple_2d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_tuple_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_2d_zero_dim, test/test_nn.py::TestNN::test_interpolate_bilinear_2d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_shared_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_shared_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_skewed_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_skewed_2d_align_corners, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_skewed_2d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_skewed_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_tuple_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_tuple_2d_align_corners, test/test_nn.py::TestNN::test_interpolate_bilinear_tuple_2d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_tuple_2d_cuda, test/test_nn.py::TestNN::test_interpolate_buffer_overflow, test/test_nn.py::TestNN::test_interpolate_illegal_memory_access, test/test_nn.py::TestNN::test_interpolate_linear_1d, test/test_nn.py::TestNN::test_interpolate_linear_1d_align_corners, test/test_nn.py::TestNN::test_interpolate_linear_1d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_linear_1d_cuda, test/test_nn.py::TestNN::test_interpolate_linear_1d_zero_dim, test/test_nn.py::TestNN::test_interpolate_linear_1d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_linear_scale_1d, test/test_nn.py::TestNN::test_interpolate_linear_scale_1d_align_corners, test/test_nn.py::TestNN::test_interpolate_linear_scale_1d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_linear_scale_1d_cuda, test/test_nn.py::TestNN::test_interpolate_linear_tuple_1d, test/test_nn.py::TestNN::test_interpolate_linear_tuple_1d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_1d, test/test_nn.py::TestNN::test_interpolate_nearest_1d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_1d_zero_dim, test/test_nn.py::TestNN::test_interpolate_nearest_1d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_2d, test/test_nn.py::TestNN::test_interpolate_nearest_2d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_2d_launch_configs, test/test_nn.py::TestNN::test_interpolate_nearest_2d_launch_configs_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_2d_zero_dim, test/test_nn.py::TestNN::test_interpolate_nearest_2d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_3d, test/test_nn.py::TestNN::test_interpolate_nearest_3d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_3d_zero_dim, test/test_nn.py::TestNN::test_interpolate_nearest_3d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_scale_1d, test/test_nn.py::TestNN::test_interpolate_nearest_scale_1d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_scale_2d, test/test_nn.py::TestNN::test_interpolate_nearest_scale_2d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_scale_3d, test/test_nn.py::TestNN::test_interpolate_nearest_scale_3d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_1d, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_1d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_2d, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_2d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_3d, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_3d_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_3d, test/test_nn.py::TestNN::test_interpolate_trilinear_3d_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_3d_zero_dim, test/test_nn.py::TestNN::test_interpolate_trilinear_3d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_scale_3d, test/test_nn.py::TestNN::test_interpolate_trilinear_scale_3d_align_corners, test/test_nn.py::TestNN::test_interpolate_trilinear_scale_3d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_scale_3d_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_tuple_3d, test/test_nn.py::TestNN::test_interpolate_trilinear_tuple_3d_align_corners, test/test_nn.py::TestNN::test_interpolate_trilinear_tuple_3d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_tuple_3d_cuda, test/test_nn.py::TestNN::test_interpolate_undefined_behavior_casting, test/test_nn.py::TestNN::test_kl_div_log_softmax_target, test/test_nn.py::TestNN::test_kl_div_with_diff_type, test/test_nn.py::TestNN::test_kl_div_with_diff_type_log_target, test/test_nn.py::TestNN::test_l1_loss_correct, test/test_nn.py::TestNN::test_large_max_pool2d_ch_last, test/test_nn.py::TestNN::test_layer_norm_backwards_eps, test/test_nn.py::TestNN::test_layer_norm_eps, test/test_nn.py::TestNN::test_layer_norm_grads_with_create_graph_flag, test/test_nn.py::TestNN::test_layer_norm_large_tensor, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_bias_weightCOO, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_bias_weightCSC, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_bias_weightCSR, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_bias_weightStrided, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_nobias_weightCOO, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_nobias_weightCSC, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_nobias_weightCSR, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_nobias_weightStrided, test/test_nn.py::TestNN::test_linear_broadcasting, test/test_nn.py::TestNN::test_linear_raise_on_scalar_input, test/test_nn.py::TestNN::test_log_softmax_dim0, test/test_nn.py::TestNN::test_log_softmax_dim0_cuda, test/test_nn.py::TestNN::test_log_softmax_dim3, test/test_nn.py::TestNN::test_log_softmax_dim3_cuda, test/test_nn.py::TestNN::test_log_softmax_lastdim, test/test_nn.py::TestNN::test_log_softmax_lastdim_cuda, test/test_nn.py::TestNN::test_log_softmax_scalar, test/test_nn.py::TestNN::test_log_softmax_scalar_cuda, test/test_nn.py::TestNN::test_log_softmax_spatial, test/test_nn.py::TestNN::test_log_softmax_spatial_cuda, test/test_nn.py::TestNN::test_log_softmax_spatial_special, test/test_nn.py::TestNN::test_log_softmax_spatial_special_cuda, test/test_nn.py::TestNN::test_loss_equal_input_target_shape, test/test_nn.py::TestNN::test_margin_ranking_loss_margin_no_reduce, test/test_nn.py::TestNN::test_margin_ranking_loss_no_reduce, test/test_nn.py::TestNN::test_max_pool1d_invalid_output_size, test/test_nn.py::TestNN::test_module_apply_inplace_op, test/test_nn.py::TestNN::test_module_backcompat, test/test_nn.py::TestNN::test_module_super_init, test/test_nn.py::TestNN::test_module_to_argparse, test/test_nn.py::TestNN::test_modules, test/test_nn.py::TestNN::test_mse_loss_size_warning, test/test_nn.py::TestNN::test_multimarginloss_1d_input_0d_target_no_reduce, test/test_nn.py::TestNN::test_multimarginloss_1d_input_0d_target_no_reduce_cuda, test/test_nn.py::TestNN::test_named_children, test/test_nn.py::TestNN::test_named_modules, test/test_nn.py::TestNN::test_named_parameters_remove_duplicate, test/test_nn.py::TestNN::test_native_channel_shuffle_return_alias_of_self, test/test_nn.py::TestNN::test_nested_tensor_from_mask, test/test_nn.py::TestNN::test_nested_tensor_from_mask_error, test/test_nn.py::TestNN::test_no_grad, test/test_nn.py::TestNN::test_non_leaf_parameters, test/test_nn.py::TestNN::test_normalize, test/test_nn.py::TestNN::test_overwrite_module_params_on_conversion, test/test_nn.py::TestNN::test_pack_sequence_batch_sizes_throw, test/test_nn.py::TestNN::test_pad_scalar_error, test/test_nn.py::TestNN::test_padding_list, test/test_nn.py::TestNN::test_pairwise_distance, test/test_nn.py::TestNN::test_parameter_assignment, test/test_nn.py::TestNN::test_parameterlistdict_pickle, test/test_nn.py::TestNN::test_parameterlistdict_setting_attributes, test/test_nn.py::TestNN::test_parameters_and_named_parameters, test/test_nn.py::TestNN::test_parameters_to_vector, test/test_nn.py::TestNN::test_parse_to, test/test_nn.py::TestNN::test_partial_flat_weights, test/test_nn.py::TestNN::test_pdist, test/test_nn.py::TestNN::test_pdist_cpu_gradgrad_unimplemented, test/test_nn.py::TestNN::test_pdist_cuda_gradgrad_unimplemented, test/test_nn.py::TestNN::test_pdist_empty_col, test/test_nn.py::TestNN::test_pdist_empty_row, test/test_nn.py::TestNN::test_pdist_large, test/test_nn.py::TestNN::test_pdist_zeros, test/test_nn.py::TestNN::test_pickle_module_no_weights_only_warning, test/test_nn.py::TestNN::test_pixel_shuffle_nhwc_cpu, test/test_nn.py::TestNN::test_pixel_shuffle_unshuffle, test/test_nn.py::TestNN::test_pointwise_loss_broadcast, test/test_nn.py::TestNN::test_pointwise_loss_target_grad_none_reduction, test/test_nn.py::TestNN::test_projections_errors_on_gru_and_rnn, test/test_nn.py::TestNN::test_projections_lstm_args_check, test/test_nn.py::TestNN::test_projections_lstm_check_device, test/test_nn.py::TestNN::test_projections_lstm_initial_hidden_state, test/test_nn.py::TestNN::test_register_buffer_allows_overwriting_with_same_name, test/test_nn.py::TestNN::test_register_buffer_allows_tensor_like_object, 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_race_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_MarginLoss_race_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_MarginLoss_warnings_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad2d_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad2d_large_deterministic_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad3d_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad_empty_cpu_complex64, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad_empty_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad_fails_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReplicationPad1d_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReplicationPad2d_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReplicationPad3d_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReplicationPad_empty_cpu_complex128, test/test_nn.py::TestNNDeviceTypeCPU::test_ReplicationPad_empty_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_TransformerDecoderLayer_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_TransformerDecoder_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_TransformerEncoderLayer_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_TransformerEncoder_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_Transformer_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_Unfold_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_activations_bfloat16_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_activations_bfloat16_half_cpu_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_activations_bfloat16_half_cpu_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_adaptiveavg_pool1d_shmem_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_affine_2d_rotate0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_affine_2d_rotate45_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_affine_2d_rotate90_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_affine_2d_rotateRandom_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_affine_3d_rotateRandom_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_avg_pool_large_tensor2_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_avg_pool_large_tensor_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_affine_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_affine_mixed_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_affine_mixed_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_eval_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_eval_mixed_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_eval_mixed_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_grad_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_large_batch_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_large_batch_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_simple_average_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_simple_average_mixed_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_simple_average_mixed_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_update_stats_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_channel_shuffle_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_error_if_nonfinite_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_False_norm_type_0_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_False_norm_type_1_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_False_norm_type_2_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_False_norm_type_4_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_False_norm_type_inf_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_True_norm_type_0_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_True_norm_type_1_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_True_norm_type_2_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_True_norm_type_4_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_True_norm_type_inf_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_multi_device_foreach_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_multi_device_foreach_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_value_foreach_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_value_foreach_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_conv_empty_input_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_conv_empty_input_cpu_complex128, test/test_nn.py::TestNNDeviceTypeCPU::test_conv_empty_input_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_conv_empty_input_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_64bit_reduction_mean_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_64bit_reduction_none_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_64bit_reduction_sum_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_label_smoothing_consistent_index_target_and_probs_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_label_smoothing_errors_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_label_smoothing_weight_ignore_indices_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_label_smoothing_with_probs_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_large_tensor_reduction_mean_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_large_tensor_reduction_none_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_large_tensor_reduction_sum_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_2d_out_of_bounds_class_index_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_2d_out_of_bounds_class_index_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_index_target_unit_weights_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_one_hot_target_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_all_reductions_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_mean_weighted_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_mean_weighted_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_none_weighted_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_none_weighted_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_sum_weighted_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_sum_weighted_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_unit_weights_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ctc_loss_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ctc_loss_cudnn_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ctc_loss_cudnn_tensor_cpu_length_cuda_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ctc_loss_cudnn_tensor_cuda_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ctc_loss_error_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cudnn_rnn_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_cudnn_rnn_cpu_float16, 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_large_max_pool2d_ch_last_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_large_max_pool_contig_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_large_reflect_pad_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_mse_loss_error_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_1d_input_1d_target_invalid_size_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_epsilon_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_rmsnorm_epsilon_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_rmsnorm_epsilon_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_rmsnorm_epsilon_cpu_float64, 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_rrelu_bounds_validation_cpu, 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_bfloat16_half_to_float_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 2025-12-04T08:27:21.6273988Z 2025-12-04T08:27:21.6274242Z Finished test_nn 1/1 ... [2025-12-04 08:27:21.386041][1676.068777425], took 2.11min 2025-12-04T08:27:21.6275116Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_nn/test_nn-1e943898888baff1.xml 2025-12-04T08:27:21.6276010Z Running test_multiprocessing_spawn 1/1 ... [2025-12-04 08:27:21.573842][1676.255892579] 2025-12-04T08:27:21.6276523Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:27:21.6277677Z Executing ['/opt/conda/envs/py_3.14/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'] ... [2025-12-04 08:27:21.574185] 2025-12-04T08:29:06.9762450Z 2025-12-04T08:29:06.9765058Z test_multiprocessing_spawn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_spawn_1.1_d92afdfd083b6df0_.log 2025-12-04T08:29:06.9776718Z 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_20, 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_20, 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_20, 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 2025-12-04T08:29:06.9787713Z 2025-12-04T08:29:06.9788027Z Finished test_multiprocessing_spawn 1/1 ... [2025-12-04 08:29:06.976048][1781.658788446], took 1.76min 2025-12-04T08:29:06.9789153Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_multiprocessing_spawn/test_multiprocessing_spawn-93e104daa98d31be.xml 2025-12-04T08:29:07.0652016Z Running nn/test_pooling 1/1 ... [2025-12-04 08:29:07.064924][1781.74709306] 2025-12-04T08:29:07.0652464Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:29:07.0660327Z Executing ['/opt/conda/envs/py_3.14/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'] ... [2025-12-04 08:29:07.065808] 2025-12-04T08:29:34.2730582Z 2025-12-04T08:29:34.2731388Z nn/test_pooling 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_pooling_1.1_78433609e1adabe8_.log 2025-12-04T08:29:34.2776355Z Running 115 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_errors_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_LPPool1d_kernel_size_overflow_large_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_errors_cpu, 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_invalid_output_size_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_zero_batch_dim_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_avg_pool2d_output_size_one_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_avg_pool3d_output_size_one_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_avg_pooling_backward_fails_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_max_pooling_backward_fails_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pool_odd_size_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_empty_output_size_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_empty_output_size_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_max_nhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_max_nhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_int16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_int32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_int64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_int8, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_uint8, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_zero_batch_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_zero_batch_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_avg_pool2d_nhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_avg_pool2d_nhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_avg_pool2d_reduced_floating_cpu_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_avg_pool2d_reduced_floating_cpu_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_fractional_max_pool2d_backward_fails_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_fractional_max_pool2d_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_fractional_max_pool3d_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_fractional_max_pool_nan_inf_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool1d_corner_cases_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool1d_corner_cases_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool1d_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool1d_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_corner_cases_cpu_int32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_corner_cases_cpu_int64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_indices_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_nhwc_cpu_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_nhwc_cpu_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_nhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_nhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_with_indices_backward_fails_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool3d_ndhwc_cpu_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool3d_ndhwc_cpu_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool3d_ndhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool3d_ndhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool_bfloat16_half_cpu_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool_bfloat16_half_cpu_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool_nan_inf_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_unpool_invalid_indices_cpu, 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_kernel_avg_pooling_dims_1_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_shape_kernel_avg_pooling_dims_2_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_shape_kernel_avg_pooling_dims_3_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_shape_kernel_max_pooling_dims_1_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_shape_kernel_max_pooling_dims_2_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_shape_kernel_max_pooling_dims_3_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_zero_stride_cpu 2025-12-04T08:29:34.2820022Z 2025-12-04T08:29:34.2820311Z Finished nn/test_pooling 1/1 ... [2025-12-04 08:29:34.273636][1808.956376519], took 0.45min 2025-12-04T08:29:34.2821293Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_pooling/nn.test_pooling-5401ed86c76a5f46.xml 2025-12-04T08:29:34.3779091Z Running test_overrides 1/1 ... [2025-12-04 08:29:34.377621][1809.059812934] 2025-12-04T08:29:34.3780487Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:29:34.3781540Z Executing ['/opt/conda/envs/py_3.14/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'] ... [2025-12-04 08:29:34.377950] 2025-12-04T08:29:40.9509774Z 2025-12-04T08:29:40.9510583Z test_overrides 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_overrides_1.1_9ebce45744e9703c_.log 2025-12-04T08:29:41.0002522Z Running 1477 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__, 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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, 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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, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tan, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tan_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tanh, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tanh_, 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test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_shifted_chebyshev_polynomial_u, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_shifted_chebyshev_polynomial_v, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_shifted_chebyshev_polynomial_w, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_sinc, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_spherical_bessel_j0, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_xlog1py, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_xlogy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_zeta, test/test_overrides.py::TestTorchFunctionOverride::test_torch__assert_async, test/test_overrides.py::TestTorchFunctionOverride::test_torch__conj_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__functional_assert_async, test/test_overrides.py::TestTorchFunctionOverride::test_torch__fused_rms_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch__fw_primal_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__lobpcg_lobpcg, test/test_overrides.py::TestTorchFunctionOverride::test_torch__lowrank_pca_lowrank, test/test_overrides.py::TestTorchFunctionOverride::test_torch__lowrank_svd_lowrank, test/test_overrides.py::TestTorchFunctionOverride::test_torch__make_dual_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__native_batch_norm_legit, test/test_overrides.py::TestTorchFunctionOverride::test_torch__neg_view_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__reshape_alias_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__rowwise_prune, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sparse_broadcast_to_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_acos, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_asin, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_atan, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_cos, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_cosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_sin, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_sinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_sqrt, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_tan, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_tanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch__values_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__wrapped_linear_prepack, test/test_overrides.py::TestTorchFunctionOverride::test_torch__wrapped_quantized_linear_prepacked, test/test_overrides.py::TestTorchFunctionOverride::test_torch_abs, test/test_overrides.py::TestTorchFunctionOverride::test_torch_absolute, test/test_overrides.py::TestTorchFunctionOverride::test_torch_acos, test/test_overrides.py::TestTorchFunctionOverride::test_torch_acosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_adaptive_avg_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_adaptive_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_add, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addbmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addcdiv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addcmul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addmv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_adjoint, test/test_overrides.py::TestTorchFunctionOverride::test_torch_affine_grid_generator, test/test_overrides.py::TestTorchFunctionOverride::test_torch_alias_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_all, test/test_overrides.py::TestTorchFunctionOverride::test_torch_allclose, test/test_overrides.py::TestTorchFunctionOverride::test_torch_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_amax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_amin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_aminmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_angle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_any, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arccos, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arccosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arcsin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arcsinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arctan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arctan2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arctanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argmin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argsort, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argwhere, test/test_overrides.py::TestTorchFunctionOverride::test_torch_as_strided_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_as_strided_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_asin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_asinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_atan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_atan2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_atanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_avg_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_baddbmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_backward_elemt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_backward_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_elemt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_gather_stats, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_gather_stats_with_counts, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_stats, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_update_stats, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bernoulli, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bilinear, test/test_overrides.py::TestTorchFunctionOverride::test_torch_binary_cross_entropy_with_logits, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bincount, test/test_overrides.py::TestTorchFunctionOverride::test_torch_binomial, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_and, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_left_shift, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_not, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_or, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_right_shift, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_xor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_broadcast_to, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bucketize, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cat, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ccol_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ceil, test/test_overrides.py::TestTorchFunctionOverride::test_torch_celu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_channel_shuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cholesky, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cholesky_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cholesky_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch_choose_qparams_optimized, test/test_overrides.py::TestTorchFunctionOverride::test_torch_chunk, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clamp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clamp_max, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clamp_min, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clip, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clone, test/test_overrides.py::TestTorchFunctionOverride::test_torch_col_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_column_stack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_combinations, test/test_overrides.py::TestTorchFunctionOverride::test_torch_complex, test/test_overrides.py::TestTorchFunctionOverride::test_torch_concat, test/test_overrides.py::TestTorchFunctionOverride::test_torch_concatenate, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conj, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conj_physical, test/test_overrides.py::TestTorchFunctionOverride::test_torch_constant_pad_nd, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_tbc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_transpose1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_transpose2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_transpose3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_convolution, test/test_overrides.py::TestTorchFunctionOverride::test_torch_copysign, test/test_overrides.py::TestTorchFunctionOverride::test_torch_corrcoef, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cos, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cosine_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cosine_similarity, test/test_overrides.py::TestTorchFunctionOverride::test_torch_count_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cov, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cross, test/test_overrides.py::TestTorchFunctionOverride::test_torch_crow_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ctc_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cummax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cummin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cumprod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cumsum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cumulative_trapezoid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_deg2rad, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dequantize, test/test_overrides.py::TestTorchFunctionOverride::test_torch_det, test/test_overrides.py::TestTorchFunctionOverride::test_torch_detach, test/test_overrides.py::TestTorchFunctionOverride::test_torch_detach_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diag_embed, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagflat, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagonal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagonal_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagonal_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diff, test/test_overrides.py::TestTorchFunctionOverride::test_torch_digamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dist, test/test_overrides.py::TestTorchFunctionOverride::test_torch_div, test/test_overrides.py::TestTorchFunctionOverride::test_torch_divide, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dot, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dsmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dsplit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dstack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_embedding, test/test_overrides.py::TestTorchFunctionOverride::test_torch_embedding_bag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_empty_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_eq, test/test_overrides.py::TestTorchFunctionOverride::test_torch_equal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_erf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_erfc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_erfinv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_exp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_exp2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_expand_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_expm1, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fake_quantize_per_channel_affine, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fake_quantize_per_tensor_affine, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_fp16_weight, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_fp16_weight_fp32_activation, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_int8_weight, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_int8_weight_fp32_activation, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_quantize_weight, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_pack_gemm_matrix_fp16, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_pack_quantized_matrix, test/test_overrides.py::TestTorchFunctionOverride::test_torch_feature_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_feature_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fix, test/test_overrides.py::TestTorchFunctionOverride::test_torch_flatten, test/test_overrides.py::TestTorchFunctionOverride::test_torch_flip, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fliplr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_flipud, test/test_overrides.py::TestTorchFunctionOverride::test_torch_float_power, test/test_overrides.py::TestTorchFunctionOverride::test_torch_floor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_floor_divide, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fmin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fmod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_frac, test/test_overrides.py::TestTorchFunctionOverride::test_torch_frexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_frobenius_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_full_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_function_empty_lists, test/test_overrides.py::TestTorchFunctionOverride::test_torch_function_in_float_lists, test/test_overrides.py::TestTorchFunctionOverride::test_torch_function_in_lists, test/test_overrides.py::TestTorchFunctionOverride::test_torch_function_in_scalar_lists, test/test_overrides.py::TestTorchFunctionOverride::test_torch_function_mixed_lists, test/test_overrides.py::TestTorchFunctionOverride::test_torch_function_nested_tuple_getitem, test/test_overrides.py::TestTorchFunctionOverride::test_torch_function_not_first_in_list, test/test_overrides.py::TestTorchFunctionOverride::test_torch_function_precedence_in_lists, 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_hash_tensor, 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_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_torch_function_standalone_class, test/test_overrides.py::TestTorchFunctionWarning::test_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 2025-12-04T08:29:41.0477843Z 2025-12-04T08:29:41.0478136Z Finished test_overrides 1/1 ... [2025-12-04 08:29:40.952918][1815.635656092], took 0.11min 2025-12-04T08:29:41.0479095Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_overrides/test_overrides-742c3d35996dbc55.xml 2025-12-04T08:29:41.0659088Z Running test_reductions 1/1 ... [2025-12-04 08:29:41.065642][1815.747697221] 2025-12-04T08:29:41.0659556Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:29:41.0662016Z Executing ['/opt/conda/envs/py_3.14/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'] ... [2025-12-04 08:29:41.065978] 2025-12-04T08:32:59.5534671Z 2025-12-04T08:32:59.5535486Z test_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_reductions_1.1_f7360248542bd8ba_.log 2025-12-04T08:32:59.7276794Z Running 4677 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, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_all_any_with_dim_cpu, test/test_reductions.py::TestReductionsCPU::test_all_issue117215_cpu, test/test_reductions.py::TestReductionsCPU::test_amax_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_amax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_amax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_amax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_amax_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_amax_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_amin_amax_some_dims_cpu, 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test/test_reductions.py::TestReductionsCPU::test_result_dtype_std_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_std_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_std_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_std_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_std_unbiased_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_std_unbiased_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype_std_unbiased_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_std_unbiased_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_std_unbiased_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_std_unbiased_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_cpu_bfloat16, 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test/test_reductions.py::TestReductionsCPU::test_std_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_std_mean_some_dims_cpu, test/test_reductions.py::TestReductionsCPU::test_std_vs_numpy_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_std_vs_numpy_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_std_vs_numpy_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_std_vs_numpy_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_cpu_device_mismatch_cpu, test/test_reductions.py::TestReductionsCPU::test_sum_dim_cpu, test/test_reductions.py::TestReductionsCPU::test_sum_dim_reduction_uint8_overflow_cpu, test/test_reductions.py::TestReductionsCPU::test_sum_integer_upcast_cpu, test/test_reductions.py::TestReductionsCPU::test_sum_noncontig_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_noncontig_lowp_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_sum_noncontig_lowp_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_sum_out_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_parallel_cpu, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_tensor_compare_ops_argmax_argmix_kthvalue_dim_empty_cpu, test/test_reductions.py::TestReductionsCPU::test_tensor_compare_ops_empty_cpu, test/test_reductions.py::TestReductionsCPU::test_tensor_reduce_ops_empty_cpu, test/test_reductions.py::TestReductionsCPU::test_var_correction_vs_numpy_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_var_correction_vs_numpy_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_var_correction_vs_numpy_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_var_correction_vs_numpy_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_var_cpu, test/test_reductions.py::TestReductionsCPU::test_var_dim_cpu, test/test_reductions.py::TestReductionsCPU::test_var_large_input_cpu, test/test_reductions.py::TestReductionsCPU::test_var_mean_all_dims_cpu, test/test_reductions.py::TestReductionsCPU::test_var_mean_correction_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_var_mean_correction_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_var_mean_correction_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_var_mean_correction_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_var_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_var_mean_some_dims_cpu, test/test_reductions.py::TestReductionsCPU::test_var_stability2_cpu, test/test_reductions.py::TestReductionsCPU::test_var_stability_cpu, test/test_reductions.py::TestReductionsCPU::test_var_unbiased_cpu, test/test_reductions.py::TestReductionsCPU::test_var_vs_numpy_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_var_vs_numpy_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_var_vs_numpy_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_var_vs_numpy_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_warn_invalid_degrees_of_freedom_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_warn_invalid_degrees_of_freedom_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_warn_invalid_degrees_of_freedom_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_warn_invalid_degrees_of_freedom_cpu_float64 2025-12-04T08:32:59.8980407Z 2025-12-04T08:32:59.8980732Z Finished test_reductions 1/1 ... [2025-12-04 08:32:59.558087][2014.240823386], took 3.31min 2025-12-04T08:32:59.8981754Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_reductions/test_reductions-877b50701677b0e6.xml 2025-12-04T08:32:59.8982704Z Running test_spectral_ops 1/1 ... [2025-12-04 08:32:59.783616][2014.466352426] 2025-12-04T08:32:59.8983178Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:32:59.8984219Z Executing ['/opt/conda/envs/py_3.14/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'] ... [2025-12-04 08:32:59.783986] 2025-12-04T08:33:09.4616329Z 2025-12-04T08:33:09.4617354Z test_spectral_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_spectral_ops_1.1_07a348154293b419_.log 2025-12-04T08:33:09.4708225Z 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, 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test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_hfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_hfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_ifft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_ifft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_ihfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_irfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_irfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_rfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_fftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_fftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_hfftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_hfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_ifftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_ifftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_irfftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_irfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_fftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_fftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_hfftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_hfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_ifftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_ifftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_irfftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_irfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_stft_align_to_window_only_requires_non_center_cpu, test/test_spectral_ops.py::TestFFTCPU::test_stft_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_stft_requires_complex_cpu, test/test_spectral_ops.py::TestFFTCPU::test_stft_requires_window_cpu, test/test_spectral_ops.py::TestFFTCPU::test_stft_roundtrip_complex_window_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_stft_roundtrip_complex_window_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_stft_window_device_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_fft2_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_fft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_fftfreq_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_fftn_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_fftshift_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_hfft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_ifft2_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_ifft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_ifftn_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_ifftshift_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_ihfft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_irfft2_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_irfft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_irfftn_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_rfft2_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_rfft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_rfftfreq_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_rfftn_cpu 2025-12-04T08:33:09.4798227Z 2025-12-04T08:33:09.4798522Z Finished test_spectral_ops 1/1 ... [2025-12-04 08:33:09.461739][2024.144479666], took 0.16min 2025-12-04T08:33:09.4799538Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_spectral_ops/test_spectral_ops-8865cd68803b9cfa.xml 2025-12-04T08:33:09.5748524Z Running inductor/test_max_autotune 1/1 ... [2025-12-04 08:33:09.573950][2024.256037725] 2025-12-04T08:33:09.5749043Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:33:09.5750451Z Executing ['/opt/conda/envs/py_3.14/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'] ... [2025-12-04 08:33:09.574841] 2025-12-04T08:33:16.0883224Z 2025-12-04T08:33:16.0884200Z 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_b0ec5e2900480fd9_.log 2025-12-04T08:33:16.0884950Z 2025-12-04T08:33:16.0885258Z Finished inductor/test_max_autotune 1/1 ... [2025-12-04 08:33:16.088115][2030.770856202], took 0.11min 2025-12-04T08:33:16.0917005Z Running doctests 1/1 ... [2025-12-04 08:33:16.091525][2030.774266331] 2025-12-04T08:33:20.2146868Z msg = Cannot scrape callname=Library.fallback in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py line=368. 2025-12-04T08:33:20.2147752Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:33:20.2148362Z Registers the function implementation as the fallback for the given key. 2025-12-04T08:33:20.2148726Z 2025-12-04T08:33:20.2148966Z This function only works for a library with global namespace ("_"). 2025-12-04T08:33:20.2149300Z 2025-12-04T08:33:20.2149406Z Args: 2025-12-04T08:33:20.2149834Z fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel` 2025-12-04T08:33:20.2150358Z to register a fallthrough. 2025-12-04T08:33:20.2150908Z dispatch_key: dispatch key that the input function should be registered for. By default, it uses 2025-12-04T08:33:20.2151507Z the dispatch key that the library was created with. 2025-12-04T08:33:20.2152357Z with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument 2025-12-04T08:33:20.2153166Z to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls. 2025-12-04T08:33:20.2153604Z 2025-12-04T08:33:20.2153741Z Example:: 2025-12-04T08:33:20.2153888Z 2025-12-04T08:33:20.2154000Z >>> my_lib = Library("_", "IMPL") 2025-12-04T08:33:20.2154363Z >>> def fallback_kernel(op, *args, **kwargs): 2025-12-04T08:33:20.2154750Z >>> # Handle all autocast ops generically 2025-12-04T08:33:20.2155077Z >>> # ... 2025-12-04T08:33:20.2155386Z >>> my_lib.fallback(fallback_kernel, "Autocast") 2025-12-04T08:33:20.2155727Z 2025-12-04T08:33:20.2156492Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 5, 1, 'my_lib.fallback(fallback_kernel, "Autocast")\n', 5, 7)) 2025-12-04T08:33:20.2157221Z 2025-12-04T08:33:20.2157351Z my_lib.fallback(fallback_kernel, "Autocast") 2025-12-04T08:33:20.2157746Z ^ 2025-12-04T08:33:20.2294191Z msg = Cannot scrape callname=register_fake in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py line=958. 2025-12-04T08:33:20.2295029Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:33:20.2295614Z Register a FakeTensor implementation ("fake impl") for this operator. 2025-12-04T08:33:20.2295965Z 2025-12-04T08:33:20.2296348Z Also sometimes known as a "meta kernel", "abstract impl". 2025-12-04T08:33:20.2296662Z 2025-12-04T08:33:20.2296900Z An "FakeTensor implementation" specifies the behavior of this operator on 2025-12-04T08:33:20.2297492Z Tensors that carry no data ("FakeTensor"). Given some input Tensors with 2025-12-04T08:33:20.2298063Z certain properties (sizes/strides/storage_offset/device), it specifies 2025-12-04T08:33:20.2298567Z what the properties of the output Tensors are. 2025-12-04T08:33:20.2298814Z 2025-12-04T08:33:20.2299062Z The FakeTensor implementation has the same signature as the operator. 2025-12-04T08:33:20.2299622Z It is run for both FakeTensors and meta tensors. To write a FakeTensor 2025-12-04T08:33:20.2300154Z implementation, assume that all Tensor inputs to the operator are 2025-12-04T08:33:20.2300699Z regular CPU/CUDA/Meta tensors, but they do not have storage, and 2025-12-04T08:33:20.2301240Z you are trying to return regular CPU/CUDA/Meta tensor(s) as output. 2025-12-04T08:33:20.2301795Z The FakeTensor implementation must consist of only PyTorch operations 2025-12-04T08:33:20.2302343Z (and may not directly access the storage or data of any input or 2025-12-04T08:33:20.2302760Z intermediate Tensors). 2025-12-04T08:33:20.2302935Z 2025-12-04T08:33:20.2303100Z This API may be used as a decorator (see examples). 2025-12-04T08:33:20.2303420Z 2025-12-04T08:33:20.2303565Z For a detailed guide on custom ops, please see 2025-12-04T08:33:20.2304070Z https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html 2025-12-04T08:33:20.2304411Z 2025-12-04T08:33:20.2304513Z Args: 2025-12-04T08:33:20.2304855Z op_name: Operator name (along with the overload) or OpOverload object. 2025-12-04T08:33:20.2305321Z func: Fake tensor implementation. 2025-12-04T08:33:20.2305746Z lib (Optional[Library]): Library to register the fake tensor to. 2025-12-04T08:33:20.2306257Z allow_override: Flag controlling if we want to override an 2025-12-04T08:33:20.2306733Z existing registered fake impl. This is by default off, 2025-12-04T08:33:20.2307197Z and will error you're trying to register a fake impl to 2025-12-04T08:33:20.2307662Z an operator that already has a fake impl. This also only 2025-12-04T08:33:20.2308113Z applies if the custom operator was not created via 2025-12-04T08:33:20.2308625Z torch.library.custom_op, as overriding and existing fake 2025-12-04T08:33:20.2309049Z impl is already allowed. 2025-12-04T08:33:20.2309275Z 2025-12-04T08:33:20.2309391Z Examples: 2025-12-04T08:33:20.2309613Z >>> import torch 2025-12-04T08:33:20.2309888Z >>> import numpy as np 2025-12-04T08:33:20.2310201Z >>> from torch import Tensor 2025-12-04T08:33:20.2310480Z >>> 2025-12-04T08:33:20.2310803Z >>> # Example 1: an operator without data-dependent output shape 2025-12-04T08:33:20.2311340Z >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=()) 2025-12-04T08:33:20.2311877Z >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-12-04T08:33:20.2312435Z >>> raise NotImplementedError("Implementation goes here") 2025-12-04T08:33:20.2312822Z >>> 2025-12-04T08:33:20.2313132Z >>> @torch.library.register_fake("mylib::custom_linear") 2025-12-04T08:33:20.2313506Z >>> def _(x, weight, bias): 2025-12-04T08:33:20.2313813Z >>> assert x.dim() == 2 2025-12-04T08:33:20.2314124Z >>> assert weight.dim() == 2 2025-12-04T08:33:20.2314432Z >>> assert bias.dim() == 1 2025-12-04T08:33:20.2314764Z >>> assert x.shape[1] == weight.shape[1] 2025-12-04T08:33:20.2315130Z >>> assert weight.shape[0] == bias.shape[0] 2025-12-04T08:33:20.2315532Z >>> assert x.device == weight.device 2025-12-04T08:33:20.2315845Z >>> 2025-12-04T08:33:20.2316146Z >>> return (x @ weight.t()) + bias 2025-12-04T08:33:20.2316464Z >>> 2025-12-04T08:33:20.2316743Z >>> with torch._subclasses.fake_tensor.FakeTensorMode(): 2025-12-04T08:33:20.2317139Z >>> x = torch.randn(2, 3) 2025-12-04T08:33:20.2317469Z >>> w = torch.randn(3, 3) 2025-12-04T08:33:20.2317856Z >>> b = torch.randn(3) 2025-12-04T08:33:20.2318188Z >>> y = torch.ops.mylib.custom_linear(x, w, b) 2025-12-04T08:33:20.2318530Z >>> 2025-12-04T08:33:20.2318755Z >>> assert y.shape == (2, 3) 2025-12-04T08:33:20.2319026Z >>> 2025-12-04T08:33:20.2319330Z >>> # Example 2: an operator with data-dependent output shape 2025-12-04T08:33:20.2319835Z >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=()) 2025-12-04T08:33:20.2320290Z >>> def custom_nonzero(x: Tensor) -> Tensor: 2025-12-04T08:33:20.2320657Z >>> x_np = x.numpy(force=True) 2025-12-04T08:33:20.2321017Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-12-04T08:33:20.2321391Z >>> return torch.tensor(res, device=x.device) 2025-12-04T08:33:20.2321734Z >>> 2025-12-04T08:33:20.2322039Z >>> @torch.library.register_fake("mylib::custom_nonzero") 2025-12-04T08:33:20.2322422Z >>> def _(x): 2025-12-04T08:33:20.2322762Z >>> # Number of nonzero-elements is data-dependent. 2025-12-04T08:33:20.2323192Z >>> # Since we cannot peek at the data in an fake impl, 2025-12-04T08:33:20.2323627Z >>> # we use the ctx object to construct a new symint that 2025-12-04T08:33:20.2324019Z >>> # represents the data-dependent size. 2025-12-04T08:33:20.2324397Z >>> ctx = torch.library.get_ctx() 2025-12-04T08:33:20.2324749Z >>> nnz = ctx.new_dynamic_size() 2025-12-04T08:33:20.2325085Z >>> shape = [nnz, x.dim()] 2025-12-04T08:33:20.2325456Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-12-04T08:33:20.2325811Z >>> return result 2025-12-04T08:33:20.2326091Z >>> 2025-12-04T08:33:20.2326396Z >>> from torch.fx.experimental.proxy_tensor import make_fx 2025-12-04T08:33:20.2326764Z >>> 2025-12-04T08:33:20.2327016Z >>> x = torch.tensor([0, 1, 2, 3, 4, 0]) 2025-12-04T08:33:20.2327491Z >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x) 2025-12-04T08:33:20.2327994Z >>> trace.print_readable() 2025-12-04T08:33:20.2328305Z >>> 2025-12-04T08:33:20.2328666Z >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x)) 2025-12-04T08:33:20.2329008Z 2025-12-04T08:33:20.2329118Z 2025-12-04T08:33:20.2329759Z Original Error: IndentationError('expected an indented block after function definition on line 37', ('', 38, 1, '_._ = None\n', 38, 2)) 2025-12-04T08:33:20.2330420Z 2025-12-04T08:33:20.2330513Z _._ = None 2025-12-04T08:33:20.2330741Z ^ 2025-12-04T08:33:20.2435582Z msg = Cannot scrape callname=get_kernel in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py line=1530. 2025-12-04T08:33:20.2436431Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:33:20.2437049Z Returns the computed kernel for a given operator and dispatch key. 2025-12-04T08:33:20.2437374Z 2025-12-04T08:33:20.2437697Z This function retrieves the kernel that would be executed for a given 2025-12-04T08:33:20.2438309Z operator and dispatch key combination. The returned SafeKernelFunction 2025-12-04T08:33:20.2438857Z can be used to call the kernel in a boxed fashion. The intended use 2025-12-04T08:33:20.2439393Z case for this function is to retrieve the original kernel for a given 2025-12-04T08:33:20.2439954Z dispatch key and then register another kernel to the same dispatch key 2025-12-04T08:33:20.2440448Z that calls into the original kernel for certain cases. 2025-12-04T08:33:20.2440738Z 2025-12-04T08:33:20.2440825Z Args: 2025-12-04T08:33:20.2441323Z op: Operator name (along with the overload) or OpOverload object 2025-12-04T08:33:20.2441886Z Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef. 2025-12-04T08:33:20.2442464Z dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for. 2025-12-04T08:33:20.2443028Z Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value. 2025-12-04T08:33:20.2443334Z 2025-12-04T08:33:20.2443431Z Returns: 2025-12-04T08:33:20.2443783Z torch._C._SafeKernelFunction: A safe kernel function that can be used to 2025-12-04T08:33:20.2444237Z call the kernel. 2025-12-04T08:33:20.2444423Z 2025-12-04T08:33:20.2444503Z Raises: 2025-12-04T08:33:20.2444773Z RuntimeError: If the operator does not exist. 2025-12-04T08:33:20.2445021Z 2025-12-04T08:33:20.2445107Z Example: 2025-12-04T08:33:20.2445349Z >>> # Get the CPU kernel for torch.add 2025-12-04T08:33:20.2445771Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU") 2025-12-04T08:33:20.2446153Z >>> 2025-12-04T08:33:20.2446393Z >>> # You can also use DispatchKey enum 2025-12-04T08:33:20.2446877Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU) 2025-12-04T08:33:20.2447352Z >>> 2025-12-04T08:33:20.2447582Z >>> # Or use an OpOverload directly 2025-12-04T08:33:20.2448093Z >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU") 2025-12-04T08:33:20.2448543Z >>> 2025-12-04T08:33:20.2448876Z >>> # Example: Using get_kernel in a custom op with conditional dispatch 2025-12-04T08:33:20.2449351Z >>> # Get the original kernel for torch.sin 2025-12-04T08:33:20.2449835Z >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU") 2025-12-04T08:33:20.2450265Z >>> 2025-12-04T08:33:20.2450605Z >>> # If input has negative values, use original sin, otherwise return zeros 2025-12-04T08:33:20.2451099Z >>> def conditional_sin_impl(dispatch_keys, x): 2025-12-04T08:33:20.2451455Z >>> if (x < 0).any(): 2025-12-04T08:33:20.2451821Z >>> return original_sin_kernel.call_boxed(dispatch_keys, x) 2025-12-04T08:33:20.2452226Z >>> else: 2025-12-04T08:33:20.2452493Z >>> return torch.zeros_like(x) 2025-12-04T08:33:20.2452829Z >>> 2025-12-04T08:33:20.2453085Z >>> lib = torch.library.Library("aten", "IMPL") 2025-12-04T08:33:20.2453589Z >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet 2025-12-04T08:33:20.2454152Z >>> which needs to be the first argument to ``kernel.call_boxed`` 2025-12-04T08:33:20.2454634Z >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True) 2025-12-04T08:33:20.2455023Z >>> 2025-12-04T08:33:20.2455256Z >>> # Test the conditional behavior 2025-12-04T08:33:20.2455586Z >>> x_positive = torch.tensor([1.0, 2.0]) 2025-12-04T08:33:20.2455928Z >>> x_mixed = torch.tensor([-1.0, 2.0]) 2025-12-04T08:33:20.2456262Z >>> torch.sin(x_positive) 2025-12-04T08:33:20.2456552Z tensor([0., 0.]) 2025-12-04T08:33:20.2456817Z >>> torch.sin(x_mixed) 2025-12-04T08:33:20.2457116Z tensor([-0.8415, 0.9093]) 2025-12-04T08:33:20.2457394Z 2025-12-04T08:33:20.2457998Z Original Error: SyntaxError('invalid syntax', ('', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n', 23, 12)) 2025-12-04T08:33:20.2458589Z 2025-12-04T08:33:20.2458767Z which needs to be the first argument to ``kernel.call_boxed`` 2025-12-04T08:33:20.2459153Z ^ 2025-12-04T08:33:21.2655218Z msg = Cannot scrape callname=is_available in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/accelerator/__init__.py line=70. 2025-12-04T08:33:21.2656143Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:33:21.2656765Z Check if the current accelerator is available at runtime: it was build, all the 2025-12-04T08:33:21.2657659Z required drivers are available and at least one device is visible. 2025-12-04T08:33:21.2658150Z See :ref:`accelerator` for details. 2025-12-04T08:33:21.2658409Z 2025-12-04T08:33:21.2658516Z Returns: 2025-12-04T08:33:21.2658919Z bool: A boolean indicating if there is an available :ref:`accelerator`. 2025-12-04T08:33:21.2659340Z 2025-12-04T08:33:21.2659617Z .. note:: This API delegates to the device-specific version of `is_available`. 2025-12-04T08:33:21.2660238Z On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set, 2025-12-04T08:33:21.2660872Z this function will NOT poison fork. Otherwise, it will. For more details, see 2025-12-04T08:33:21.2661375Z :ref:`multiprocessing-poison-fork-note`. 2025-12-04T08:33:21.2661646Z 2025-12-04T08:33:21.2661746Z Example:: 2025-12-04T08:33:21.2661880Z 2025-12-04T08:33:21.2662169Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T08:33:21.2662639Z 2025-12-04T08:33:21.2663327Z Original Error: SyntaxError('invalid syntax', ('', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78)) 2025-12-04T08:33:21.2664010Z 2025-12-04T08:33:21.2664270Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T08:33:21.2664814Z ^ 2025-12-04T08:33:21.2680789Z msg = Cannot scrape callname=synchronize in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/accelerator/__init__.py line=239. 2025-12-04T08:33:21.2681696Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:33:21.2682284Z Wait for all kernels in all streams on the given device to complete. 2025-12-04T08:33:21.2682609Z 2025-12-04T08:33:21.2682720Z Args: 2025-12-04T08:33:21.2683150Z device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match 2025-12-04T08:33:21.2683833Z the current :ref:`accelerator` device type. If not given, 2025-12-04T08:33:21.2684388Z use :func:`torch.accelerator.current_device_index` by default. 2025-12-04T08:33:21.2684698Z 2025-12-04T08:33:21.2685123Z .. note:: This function is a no-op if the current :ref:`accelerator` is not initialized. 2025-12-04T08:33:21.2685633Z 2025-12-04T08:33:21.2685728Z Example:: 2025-12-04T08:33:21.2685887Z 2025-12-04T08:33:21.2686026Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-12-04T08:33:21.2686555Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T08:33:21.2687096Z >>> start_event = torch.Event(enable_timing=True) 2025-12-04T08:33:21.2687485Z >>> end_event = torch.Event(enable_timing=True) 2025-12-04T08:33:21.2687853Z >>> start_event.record() 2025-12-04T08:33:21.2688299Z >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator()) 2025-12-04T08:33:21.2688757Z >>> sum = torch.sum(tensor) 2025-12-04T08:33:21.2689075Z >>> end_event.record() 2025-12-04T08:33:21.2689400Z >>> torch.accelerator.synchronize() 2025-12-04T08:33:21.2689825Z >>> elapsed_time_ms = start_event.elapsed_time(end_event) 2025-12-04T08:33:21.2690191Z 2025-12-04T08:33:21.2690869Z Original Error: SyntaxError('invalid syntax', ('', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78)) 2025-12-04T08:33:21.2691532Z 2025-12-04T08:33:21.2691813Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T08:33:21.2692289Z ^ 2025-12-04T08:33:21.3073580Z msg = Cannot scrape callname=cudart in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/__init__.py line=448. 2025-12-04T08:33:21.3074443Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:33:21.3075127Z Retrieves the CUDA runtime API module. 2025-12-04T08:33:21.3075356Z 2025-12-04T08:33:21.3075360Z 2025-12-04T08:33:21.3075626Z This function initializes the CUDA runtime environment if it is not already 2025-12-04T08:33:21.3076249Z initialized and returns the CUDA runtime API module (_cudart). The CUDA 2025-12-04T08:33:21.3076846Z runtime API module provides access to various CUDA runtime functions. 2025-12-04T08:33:21.3077189Z 2025-12-04T08:33:21.3077306Z Args: 2025-12-04T08:33:21.3077513Z ``None`` 2025-12-04T08:33:21.3077727Z 2025-12-04T08:33:21.3077826Z Returns: 2025-12-04T08:33:21.3078118Z module: The CUDA runtime API module (_cudart). 2025-12-04T08:33:21.3078372Z 2025-12-04T08:33:21.3078457Z Raises: 2025-12-04T08:33:21.3078826Z RuntimeError: If CUDA cannot be re-initialized in a forked subprocess. 2025-12-04T08:33:21.3079540Z AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable. 2025-12-04T08:33:21.3080017Z 2025-12-04T08:33:21.3080167Z Example of CUDA operations with profiling: 2025-12-04T08:33:21.3080502Z >>> import torch 2025-12-04T08:33:21.3080811Z >>> from torch.cuda import cudart, check_error 2025-12-04T08:33:21.3081157Z >>> import os 2025-12-04T08:33:21.3081450Z >>> 2025-12-04T08:33:21.3081706Z >>> os.environ["CUDA_PROFILE"] = "1" 2025-12-04T08:33:21.3082029Z >>> 2025-12-04T08:33:21.3082291Z >>> def perform_cuda_operations_with_streams(): 2025-12-04T08:33:21.3082674Z >>> stream = torch.cuda.Stream() 2025-12-04T08:33:21.3083032Z >>> with torch.cuda.stream(stream): 2025-12-04T08:33:21.3083411Z >>> x = torch.randn(100, 100, device='cuda') 2025-12-04T08:33:21.3083775Z >>> y = torch.randn(100, 100, device='cuda') 2025-12-04T08:33:21.3084133Z >>> z = torch.mul(x, y) 2025-12-04T08:33:21.3084474Z >>> return z 2025-12-04T08:33:21.3084717Z >>> 2025-12-04T08:33:21.3084966Z >>> torch.cuda.synchronize() 2025-12-04T08:33:21.3085326Z >>> print("====== Start nsys profiling ======") 2025-12-04T08:33:21.3085707Z >>> check_error(cudart().cudaProfilerStart()) 2025-12-04T08:33:21.3086106Z >>> with torch.autograd.profiler.emit_nvtx(): 2025-12-04T08:33:21.3086578Z >>> result = perform_cuda_operations_with_streams() 2025-12-04T08:33:21.3086986Z >>> print("CUDA operations completed.") 2025-12-04T08:33:21.3087382Z >>> check_error(torch.cuda.cudart().cudaProfilerStop()) 2025-12-04T08:33:21.3087803Z >>> print("====== End nsys profiling ======") 2025-12-04T08:33:21.3088041Z 2025-12-04T08:33:21.3088257Z To run this example and save the profiling information, execute: 2025-12-04T08:33:21.3088937Z >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-12-04T08:33:21.3089425Z 2025-12-04T08:33:21.3089680Z This command profiles the CUDA operations in the provided script and saves 2025-12-04T08:33:21.3090250Z the profiling information to a file named `trace_name.prof`. 2025-12-04T08:33:21.3090815Z The `--profile-from-start off` option ensures that profiling starts only 2025-12-04T08:33:21.3091313Z after the `cudaProfilerStart` call in the script. 2025-12-04T08:33:21.3091806Z The `--csv` and `--print-summary` options format the profiling output as a 2025-12-04T08:33:21.3092277Z CSV file and print a summary, respectively. 2025-12-04T08:33:21.3092770Z The `-o` option specifies the output file name, and the `-f` option forces the 2025-12-04T08:33:21.3093282Z overwrite of the output file if it already exists. 2025-12-04T08:33:21.3093645Z 2025-12-04T08:33:21.3094412Z Original Error: SyntaxError('invalid syntax', ('', 1, 1, '$ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py\n', 1, 2)) 2025-12-04T08:33:21.3095167Z 2025-12-04T08:33:21.3096008Z $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-12-04T08:33:21.3096594Z ^ 2025-12-04T08:33:33.0234132Z msg = Cannot scrape callname=vmap in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/apis.py line=39. 2025-12-04T08:33:33.0235854Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:33:33.0236555Z 2025-12-04T08:33:33.0236992Z vmap is the vectorizing map; ``vmap(func)`` returns a new function that 2025-12-04T08:33:33.0238050Z maps ``func`` over some dimension of the inputs. Semantically, vmap 2025-12-04T08:33:33.0239088Z pushes the map into PyTorch operations called by ``func``, effectively 2025-12-04T08:33:33.0239907Z vectorizing those operations. 2025-12-04T08:33:33.0240262Z 2025-12-04T08:33:33.0240669Z vmap is useful for handling batch dimensions: one can write a function 2025-12-04T08:33:33.0241704Z ``func`` that runs on examples and then lift it to a function that can 2025-12-04T08:33:33.0242753Z take batches of examples with ``vmap(func)``. vmap can also be used to 2025-12-04T08:33:33.0243716Z compute batched gradients when composed with autograd. 2025-12-04T08:33:33.0244257Z 2025-12-04T08:33:33.0244445Z .. note:: 2025-12-04T08:33:33.0245031Z :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for 2025-12-04T08:33:33.0246119Z convenience. Use whichever one you'd like. 2025-12-04T08:33:33.0246597Z 2025-12-04T08:33:33.0246742Z Args: 2025-12-04T08:33:33.0247360Z func (function): A Python function that takes one or more arguments. 2025-12-04T08:33:33.0248179Z Must return one or more Tensors. 2025-12-04T08:33:33.0248971Z in_dims (int or nested structure): Specifies which dimension of the 2025-12-04T08:33:33.0249895Z inputs should be mapped over. ``in_dims`` should have a 2025-12-04T08:33:33.0250789Z structure like the inputs. If the ``in_dim`` for a particular 2025-12-04T08:33:33.0251749Z input is None, then that indicates there is no map dimension. 2025-12-04T08:33:33.0252567Z Default: 0. 2025-12-04T08:33:33.0253210Z out_dims (int or Tuple[int]): Specifies where the mapped dimension 2025-12-04T08:33:33.0254163Z should appear in the outputs. If ``out_dims`` is a Tuple, then 2025-12-04T08:33:33.0255047Z it should have one element per output. Default: 0. 2025-12-04T08:33:33.0256023Z randomness (str): Specifies whether the randomness in this 2025-12-04T08:33:33.0257001Z vmap should be the same or different across batches. If 'different', 2025-12-04T08:33:33.0258021Z the randomness for each batch will be different. If 'same', the 2025-12-04T08:33:33.0259025Z randomness will be the same across batches. If 'error', any calls to 2025-12-04T08:33:33.0260072Z random functions will error. Default: 'error'. WARNING: this flag 2025-12-04T08:33:33.0261084Z only applies to random PyTorch operations and does not apply to 2025-12-04T08:33:33.0261966Z Python's random module or numpy randomness. 2025-12-04T08:33:33.0262853Z chunk_size (None or int): If None (default), apply a single vmap over inputs. 2025-12-04T08:33:33.0263889Z If not None, then compute the vmap :attr:`chunk_size` samples at a time. 2025-12-04T08:33:33.0264974Z Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop. 2025-12-04T08:33:33.0266109Z If you run into memory issues computing the vmap, please try a non-None chunk_size. 2025-12-04T08:33:33.0266808Z 2025-12-04T08:33:33.0266961Z Returns: 2025-12-04T08:33:33.0267520Z Returns a new "batched" function. It takes the same inputs as 2025-12-04T08:33:33.0268434Z ``func``, except each input has an extra dimension at the index 2025-12-04T08:33:33.0269336Z specified by ``in_dims``. It takes returns the same outputs as 2025-12-04T08:33:33.0270262Z ``func``, except each output has an extra dimension at the index 2025-12-04T08:33:33.0270998Z specified by ``out_dims``. 2025-12-04T08:33:33.0271585Z 2025-12-04T08:33:33.0271739Z .. warning: 2025-12-04T08:33:33.0272341Z :func:`vmap` works best with functional-style code. Please do not 2025-12-04T08:33:33.0273567Z perform any side-effects in ``func``, with the exception of 2025-12-04T08:33:33.0274597Z in-place PyTorch operations. Examples of side-effects include mutating 2025-12-04T08:33:33.0275712Z Python data structures and assigning values to variables not captured 2025-12-04T08:33:33.0276539Z in ``func``. 2025-12-04T08:33:33.0276787Z 2025-12-04T08:33:33.0277208Z One example of using :func:`vmap` is to compute batched dot products. PyTorch 2025-12-04T08:33:33.0278228Z doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully 2025-12-04T08:33:33.0279151Z rummaging through docs, use :func:`vmap` to construct a new function. 2025-12-04T08:33:33.0279724Z 2025-12-04T08:33:33.0279916Z >>> torch.dot # [D], [D] -> [] 2025-12-04T08:33:33.0280584Z >>> batched_dot = torch.func.vmap(torch.dot) # [N, D], [N, D] -> [N] 2025-12-04T08:33:33.0281382Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-12-04T08:33:33.0281989Z >>> batched_dot(x, y) 2025-12-04T08:33:33.0282290Z 2025-12-04T08:33:33.0282731Z :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler 2025-12-04T08:33:33.0283673Z model authoring experience. 2025-12-04T08:33:33.0284001Z 2025-12-04T08:33:33.0284185Z >>> batch_size, feature_size = 3, 5 2025-12-04T08:33:33.0284882Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-12-04T08:33:33.0285569Z >>> 2025-12-04T08:33:33.0285954Z >>> def model(feature_vec): 2025-12-04T08:33:33.0286485Z >>> # Very simple linear model with activation 2025-12-04T08:33:33.0287132Z >>> return feature_vec.dot(weights).relu() 2025-12-04T08:33:33.0287701Z >>> 2025-12-04T08:33:33.0288174Z >>> examples = torch.randn(batch_size, feature_size) 2025-12-04T08:33:33.0288870Z >>> result = torch.vmap(model)(examples) 2025-12-04T08:33:33.0289282Z 2025-12-04T08:33:33.0289751Z :func:`vmap` can also help vectorize computations that were previously difficult 2025-12-04T08:33:33.0290881Z or impossible to batch. One example is higher-order gradient computation. 2025-12-04T08:33:33.0291968Z The PyTorch autograd engine computes vjps (vector-Jacobian products). 2025-12-04T08:33:33.0293226Z Computing a full Jacobian matrix for some function f: R^N -> R^N usually 2025-12-04T08:33:33.0294302Z requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`, 2025-12-04T08:33:33.0295398Z we can vectorize the whole computation, computing the Jacobian in a single 2025-12-04T08:33:33.0296245Z call to ``autograd.grad``. 2025-12-04T08:33:33.0296575Z 2025-12-04T08:33:33.0296726Z >>> # Setup 2025-12-04T08:33:33.0297123Z >>> N = 5 2025-12-04T08:33:33.0297515Z >>> f = lambda x: x**2 2025-12-04T08:33:33.0298016Z >>> x = torch.randn(N, requires_grad=True) 2025-12-04T08:33:33.0298604Z >>> y = f(x) 2025-12-04T08:33:33.0299030Z >>> I_N = torch.eye(N) 2025-12-04T08:33:33.0299504Z >>> 2025-12-04T08:33:33.0299871Z >>> # Sequential approach 2025-12-04T08:33:33.0300606Z >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0] 2025-12-04T08:33:33.0301436Z >>> for v in I_N.unbind()] 2025-12-04T08:33:33.0302058Z >>> jacobian = torch.stack(jacobian_rows) 2025-12-04T08:33:33.0302641Z >>> 2025-12-04T08:33:33.0303056Z >>> # vectorized gradient computation 2025-12-04T08:33:33.0303576Z >>> def get_vjp(v): 2025-12-04T08:33:33.0304081Z >>> return torch.autograd.grad(y, x, v) 2025-12-04T08:33:33.0304709Z >>> jacobian = torch.vmap(get_vjp)(I_N) 2025-12-04T08:33:33.0305125Z 2025-12-04T08:33:33.0305598Z :func:`vmap` can also be nested, producing an output with multiple batched dimensions 2025-12-04T08:33:33.0306328Z 2025-12-04T08:33:33.0306509Z >>> torch.dot # [D], [D] -> [] 2025-12-04T08:33:33.0307074Z >>> batched_dot = torch.vmap( 2025-12-04T08:33:33.0307616Z ... torch.vmap(torch.dot) 2025-12-04T08:33:33.0308380Z ... ) # [N1, N0, D], [N1, N0, D] -> [N1, N0] 2025-12-04T08:33:33.0309061Z >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5) 2025-12-04T08:33:33.0309766Z >>> batched_dot(x, y) # tensor of size [2, 3] 2025-12-04T08:33:33.0310211Z 2025-12-04T08:33:33.0310658Z If the inputs are not batched along the first dimension, ``in_dims`` specifies 2025-12-04T08:33:33.0311609Z the dimension that each inputs are batched along as 2025-12-04T08:33:33.0312104Z 2025-12-04T08:33:33.0312289Z >>> torch.dot # [N], [N] -> [] 2025-12-04T08:33:33.0313061Z >>> batched_dot = torch.vmap(torch.dot, in_dims=1) # [N, D], [N, D] -> [D] 2025-12-04T08:33:33.0313868Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-12-04T08:33:33.0314446Z >>> batched_dot( 2025-12-04T08:33:33.0314869Z ... x, y 2025-12-04T08:33:33.0315445Z ... ) # output is [5] instead of [2] if batched along the 0th dimension 2025-12-04T08:33:33.0316044Z 2025-12-04T08:33:33.0316540Z If there are multiple inputs each of which is batched along different dimensions, 2025-12-04T08:33:33.0317760Z ``in_dims`` must be a tuple with the batch dimension for each input as 2025-12-04T08:33:33.0318364Z 2025-12-04T08:33:33.0318577Z >>> torch.dot # [D], [D] -> [] 2025-12-04T08:33:33.0319369Z >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None)) # [N, D], [D] -> [N] 2025-12-04T08:33:33.0320372Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-12-04T08:33:33.0320976Z >>> batched_dot( 2025-12-04T08:33:33.0321390Z ... x, y 2025-12-04T08:33:33.0322002Z ... ) # second arg doesn't have a batch dim because in_dim[1] was None 2025-12-04T08:33:33.0322587Z 2025-12-04T08:33:33.0323048Z If the input is a Python struct, ``in_dims`` must be a tuple containing a struct 2025-12-04T08:33:33.0323916Z matching the shape of the input: 2025-12-04T08:33:33.0324281Z 2025-12-04T08:33:33.0324526Z >>> f = lambda dict: torch.dot(dict["x"], dict["y"]) 2025-12-04T08:33:33.0325228Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-12-04T08:33:33.0325841Z >>> input = {"x": x, "y": y} 2025-12-04T08:33:33.0326466Z >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},)) 2025-12-04T08:33:33.0327179Z >>> batched_dot(input) 2025-12-04T08:33:33.0327477Z 2025-12-04T08:33:33.0327980Z By default, the output is batched along the first dimension. However, it can be batched 2025-12-04T08:33:33.0329015Z along any dimension by using ``out_dims`` 2025-12-04T08:33:33.0329430Z 2025-12-04T08:33:33.0329602Z >>> f = lambda x: x**2 2025-12-04T08:33:33.0330099Z >>> x = torch.randn(2, 5) 2025-12-04T08:33:33.0330660Z >>> batched_pow = torch.vmap(f, out_dims=1) 2025-12-04T08:33:33.0331275Z >>> batched_pow(x) # [5, 2] 2025-12-04T08:33:33.0331632Z 2025-12-04T08:33:33.0332170Z For any function that uses kwargs, the returned function will not batch the kwargs but will 2025-12-04T08:33:33.0333111Z accept kwargs 2025-12-04T08:33:33.0333359Z 2025-12-04T08:33:33.0333576Z >>> x = torch.randn([2, 5]) 2025-12-04T08:33:33.0334081Z >>> def fn(x, scale=4.): 2025-12-04T08:33:33.0334569Z >>> return x * scale 2025-12-04T08:33:33.0335029Z >>> 2025-12-04T08:33:33.0335411Z >>> batched_pow = torch.vmap(fn) 2025-12-04T08:33:33.0336051Z >>> assert torch.allclose(batched_pow(x), x * 4) 2025-12-04T08:33:33.0336945Z >>> batched_pow(x, scale=x) # scale is not batched, output has shape [2, 2, 5] 2025-12-04T08:33:33.0337589Z 2025-12-04T08:33:33.0337769Z .. note:: 2025-12-04T08:33:33.0338342Z vmap does not provide general autobatching or handle variable-length 2025-12-04T08:33:33.0339084Z sequences out of the box. 2025-12-04T08:33:33.0339392Z 2025-12-04T08:33:33.0340350Z Original Error: IndentationError('expected an indented block after function definition on line 4', ('', 5, 1, '_._ = None\n', 5, 2)) 2025-12-04T08:33:33.0341545Z 2025-12-04T08:33:33.0341687Z _._ = None 2025-12-04T08:33:33.0342043Z ^ 2025-12-04T08:33:33.0343347Z msg = Cannot scrape callname=grad in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/apis.py line=306. 2025-12-04T08:33:33.0344872Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:33:33.0345896Z ``grad`` operator helps computing gradients of ``func`` with respect to the 2025-12-04T08:33:33.0346871Z input(s) specified by ``argnums``. This operator can be nested to 2025-12-04T08:33:33.0347653Z compute higher-order gradients. 2025-12-04T08:33:33.0348041Z 2025-12-04T08:33:33.0348210Z Args: 2025-12-04T08:33:33.0348800Z func (Callable): A Python function that takes one or more arguments. 2025-12-04T08:33:33.0349898Z Must return a single-element Tensor. If specified ``has_aux`` equals ``True``, 2025-12-04T08:33:33.0351111Z function can return a tuple of single-element Tensor and other auxiliary objects: 2025-12-04T08:33:33.0352000Z ``(output, aux)``. 2025-12-04T08:33:33.0352849Z argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to. 2025-12-04T08:33:33.0353960Z ``argnums`` can be single integer or tuple of integers. Default: 0. 2025-12-04T08:33:33.0354966Z has_aux (bool): Flag indicating that ``func`` returns a tensor and other 2025-12-04T08:33:33.0355892Z auxiliary objects: ``(output, aux)``. Default: False. 2025-12-04T08:33:33.0356550Z 2025-12-04T08:33:33.0356707Z Returns: 2025-12-04T08:33:33.0357478Z Function to compute gradients with respect to its inputs. By default, the output of 2025-12-04T08:33:33.0358750Z the function is the gradient tensor(s) with respect to the first argument. 2025-12-04T08:33:33.0359909Z If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects 2025-12-04T08:33:33.0361085Z is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with 2025-12-04T08:33:33.0362010Z respect to each ``argnums`` value is returned. 2025-12-04T08:33:33.0362490Z 2025-12-04T08:33:33.0362674Z Example of using ``grad``: 2025-12-04T08:33:33.0363039Z 2025-12-04T08:33:33.0363212Z >>> # xdoctest: +SKIP 2025-12-04T08:33:33.0363751Z >>> from torch.func import grad 2025-12-04T08:33:33.0364321Z >>> x = torch.randn([]) 2025-12-04T08:33:33.0364854Z >>> cos_x = grad(lambda x: torch.sin(x))(x) 2025-12-04T08:33:33.0365596Z >>> assert torch.allclose(cos_x, x.cos()) 2025-12-04T08:33:33.0366162Z >>> 2025-12-04T08:33:33.0366542Z >>> # Second-order gradients 2025-12-04T08:33:33.0367121Z >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x) 2025-12-04T08:33:33.0367826Z >>> assert torch.allclose(neg_sin_x, -x.sin()) 2025-12-04T08:33:33.0368423Z 2025-12-04T08:33:33.0368867Z When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients: 2025-12-04T08:33:33.0369573Z 2025-12-04T08:33:33.0369743Z >>> # xdoctest: +SKIP 2025-12-04T08:33:33.0370273Z >>> from torch.func import grad, vmap 2025-12-04T08:33:33.0370907Z >>> batch_size, feature_size = 3, 5 2025-12-04T08:33:33.0371435Z >>> 2025-12-04T08:33:33.0371851Z >>> def model(weights, feature_vec): 2025-12-04T08:33:33.0372473Z >>> # Very simple linear model with activation 2025-12-04T08:33:33.0373290Z >>> assert feature_vec.dim() == 1 2025-12-04T08:33:33.0373930Z >>> return feature_vec.dot(weights).relu() 2025-12-04T08:33:33.0374524Z >>> 2025-12-04T08:33:33.0374969Z >>> def compute_loss(weights, example, target): 2025-12-04T08:33:33.0375618Z >>> y = model(weights, example) 2025-12-04T08:33:33.0376262Z >>> return ((y - target) ** 2).mean() # MSELoss 2025-12-04T08:33:33.0376831Z >>> 2025-12-04T08:33:33.0377347Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-12-04T08:33:33.0378154Z >>> examples = torch.randn(batch_size, feature_size) 2025-12-04T08:33:33.0379058Z >>> targets = torch.randn(batch_size) 2025-12-04T08:33:33.0379694Z >>> inputs = (weights, examples, targets) 2025-12-04T08:33:33.0380572Z >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))( 2025-12-04T08:33:33.0381378Z ... *inputs 2025-12-04T08:33:33.0381782Z ... ) 2025-12-04T08:33:33.0382018Z 2025-12-04T08:33:33.0382343Z Example of using ``grad`` with ``has_aux`` and ``argnums``: 2025-12-04T08:33:33.0382900Z 2025-12-04T08:33:33.0383071Z >>> # xdoctest: +SKIP 2025-12-04T08:33:33.0383597Z >>> from torch.func import grad 2025-12-04T08:33:33.0384180Z >>> def my_loss_func(y, y_pred): 2025-12-04T08:33:33.0384783Z >>> loss_per_sample = (0.5 * y_pred - y) ** 2 2025-12-04T08:33:33.0385397Z >>> loss = loss_per_sample.mean() 2025-12-04T08:33:33.0385978Z >>> return loss, (y_pred, loss_per_sample) 2025-12-04T08:33:33.0386577Z >>> 2025-12-04T08:33:33.0387066Z >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True) 2025-12-04T08:33:33.0387707Z >>> y_true = torch.rand(4) 2025-12-04T08:33:33.0388300Z >>> y_preds = torch.rand(4, requires_grad=True) 2025-12-04T08:33:33.0388923Z >>> out = fn(y_true, y_preds) 2025-12-04T08:33:33.0389713Z >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample)) 2025-12-04T08:33:33.0390555Z 2025-12-04T08:33:33.0390721Z .. note:: 2025-12-04T08:33:33.0391245Z Using PyTorch ``torch.no_grad`` together with ``grad``. 2025-12-04T08:33:33.0391768Z 2025-12-04T08:33:33.0392041Z Case 1: Using ``torch.no_grad`` inside a function: 2025-12-04T08:33:33.0392517Z 2025-12-04T08:33:33.0392698Z >>> # xdoctest: +SKIP 2025-12-04T08:33:33.0393197Z >>> def f(x): 2025-12-04T08:33:33.0393664Z >>> with torch.no_grad(): 2025-12-04T08:33:33.0394195Z >>> c = x ** 2 2025-12-04T08:33:33.0394705Z >>> return x - c 2025-12-04T08:33:33.0395060Z 2025-12-04T08:33:33.0395422Z In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``. 2025-12-04T08:33:33.0396013Z 2025-12-04T08:33:33.0396352Z Case 2: Using ``grad`` inside ``torch.no_grad`` context manager: 2025-12-04T08:33:33.0396918Z 2025-12-04T08:33:33.0397088Z >>> # xdoctest: +SKIP 2025-12-04T08:33:33.0397856Z >>> with torch.no_grad(): 2025-12-04T08:33:33.0398393Z >>> grad(f)(x) 2025-12-04T08:33:33.0398713Z 2025-12-04T08:33:33.0399122Z In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the 2025-12-04T08:33:33.0400141Z outer one. This is because ``grad`` is a "function transform": its result 2025-12-04T08:33:33.0401174Z should not depend on the result of a context manager outside of ``f``. 2025-12-04T08:33:33.0401820Z 2025-12-04T08:33:33.0401964Z 2025-12-04T08:33:33.0403144Z Original Error: IndentationError('expected an indented block after function definition on line 5', ('', 6, 1, '_._ = None\n', 6, 2)) 2025-12-04T08:33:33.0404375Z 2025-12-04T08:33:33.0404528Z _._ = None 2025-12-04T08:33:33.0404887Z ^ 2025-12-04T08:33:34.8086593Z msg = Cannot scrape callname=CustomOpDef.register_fake in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/custom_ops.py line=402. 2025-12-04T08:33:34.8088492Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:33:34.8089526Z Register a FakeTensor implementation for this custom op. 2025-12-04T08:33:34.8090083Z 2025-12-04T08:33:34.8090575Z This is necessary to get the operator to work efficiently with torch.compile. 2025-12-04T08:33:34.8091296Z 2025-12-04T08:33:34.8091704Z The Fake impl (sometimes also known as a meta kernel or abstract impl) 2025-12-04T08:33:34.8092806Z specifies the behavior of this operator on Tensors that carry no data. 2025-12-04T08:33:34.8093766Z Given some input Tensors with certain properties 2025-12-04T08:33:34.8095123Z (sizes/strides/storage_offset/device), it specifies what the properties of 2025-12-04T08:33:34.8096074Z the output Tensors are. 2025-12-04T08:33:34.8096448Z 2025-12-04T08:33:34.8096833Z Please see :func:`torch.library.register_fake` for more details. 2025-12-04T08:33:34.8097456Z 2025-12-04T08:33:34.8097628Z Args: 2025-12-04T08:33:34.8098173Z fn (Callable): The function to register as the FakeTensor 2025-12-04T08:33:34.8098909Z implementation. 2025-12-04T08:33:34.8099254Z 2025-12-04T08:33:34.8099428Z Examples: 2025-12-04T08:33:34.8099849Z >>> import torch 2025-12-04T08:33:34.8100367Z >>> import numpy as np 2025-12-04T08:33:34.8100941Z >>> from torch import Tensor 2025-12-04T08:33:34.8101511Z >>> 2025-12-04T08:33:34.8102094Z >>> # Example 1: an operator without data-dependent output shape 2025-12-04T08:33:34.8103068Z >>> @torch.library.custom_op("mylib::linear", mutates_args=()) 2025-12-04T08:33:34.8104014Z >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-12-04T08:33:34.8104798Z >>> return (x @ weight.t()) + bias 2025-12-04T08:33:34.8105392Z >>> 2025-12-04T08:33:34.8105835Z >>> @linear.register_fake 2025-12-04T08:33:34.8106495Z >>> def _(x, weight, bias): 2025-12-04T08:33:34.8107078Z >>> assert x.dim() == 2 2025-12-04T08:33:34.8107664Z >>> assert weight.dim() == 2 2025-12-04T08:33:34.8108268Z >>> assert bias.dim() == 1 2025-12-04T08:33:34.8108897Z >>> assert x.shape[1] == weight.shape[1] 2025-12-04T08:33:34.8109604Z >>> assert weight.shape[0] == bias.shape[0] 2025-12-04T08:33:34.8110300Z >>> assert x.device == weight.device 2025-12-04T08:33:34.8110999Z >>> return x.new_empty(x.size(0), weight.size(0)) 2025-12-04T08:33:34.8111656Z >>> 2025-12-04T08:33:34.8112099Z >>> x = torch.randn(2, 2) 2025-12-04T08:33:34.8112664Z >>> weight = torch.randn(2, 2) 2025-12-04T08:33:34.8113253Z >>> bias = torch.randn(2) 2025-12-04T08:33:34.8113875Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T08:33:34.8114690Z >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias) 2025-12-04T08:33:34.8115681Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T08:33:34.8116639Z >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias)) 2025-12-04T08:33:34.8117506Z >>> 2025-12-04T08:33:34.8118279Z >>> # Example 2: an operator with data-dependent output shape 2025-12-04T08:33:34.8119217Z >>> @torch.library.custom_op("mylib::nonzero", mutates_args=()) 2025-12-04T08:33:34.8120023Z >>> def nonzero(x: Tensor) -> Tensor: 2025-12-04T08:33:34.8120640Z >>> x_np = x.cpu().numpy() 2025-12-04T08:33:34.8121301Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-12-04T08:33:34.8121971Z >>> return torch.tensor(res, device=x.device) 2025-12-04T08:33:34.8122579Z >>> 2025-12-04T08:33:34.8122979Z >>> @nonzero.register_fake 2025-12-04T08:33:34.8123534Z >>> def _(x): 2025-12-04T08:33:34.8124095Z >>> # Number of nonzero-elements is data-dependent. 2025-12-04T08:33:34.8124882Z >>> # Since we cannot peek at the data in an abstract impl, 2025-12-04T08:33:34.8125683Z >>> # we use the ctx object to construct a new symint that 2025-12-04T08:33:34.8126447Z >>> # represents the data-dependent size. 2025-12-04T08:33:34.8127058Z >>> ctx = torch.library.get_ctx() 2025-12-04T08:33:34.8127673Z >>> nnz = ctx.new_dynamic_size() 2025-12-04T08:33:34.8128283Z >>> shape = [nnz, x.dim()] 2025-12-04T08:33:34.8128970Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-12-04T08:33:34.8129823Z >>> return result 2025-12-04T08:33:34.8130337Z >>> 2025-12-04T08:33:34.8130789Z >>> x = torch.tensor([0, 1, 2, 0, 0, 1]) 2025-12-04T08:33:34.8131452Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T08:33:34.8132189Z >>> out = torch.compile(nonzero, fullgraph=True)(x) 2025-12-04T08:33:34.8132955Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T08:33:34.8133650Z >>> assert torch.allclose(out, x.nonzero()) 2025-12-04T08:33:34.8148692Z 2025-12-04T08:33:34.8148944Z 2025-12-04T08:33:34.8150254Z Original Error: IndentationError('expected an indented block after function definition on line 36', ('', 37, 1, '_._ = None\n', 37, 2)) 2025-12-04T08:33:34.8151531Z 2025-12-04T08:33:34.8151694Z _._ = None 2025-12-04T08:33:34.8152045Z ^ 2025-12-04T08:33:34.8360037Z msg = Cannot scrape callname=unsafe_generate_fake_kernels in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/fake_profile.py line=94. 2025-12-04T08:33:34.8361880Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-12-04T08:33:34.8362578Z 2025-12-04T08:33:34.8363000Z Registers a fake kernel based on the given operator profiles. This fake 2025-12-04T08:33:34.8364073Z kernel registration will override any existing fake kernel registrations. 2025-12-04T08:33:34.8365050Z 2025-12-04T08:33:34.8365429Z The input is a dictionary mapping operator names to a set of operator 2025-12-04T08:33:34.8366457Z profiles, which we will use to generate fake kernels. The operator profiles 2025-12-04T08:33:34.8367471Z are a record of the input and output tensor metadata. Based on this 2025-12-04T08:33:34.8368485Z information we will match a given input to the recorded profile, and return 2025-12-04T08:33:34.8369575Z an output with the same metadata as in the recorded profile. If a profile 2025-12-04T08:33:34.8370445Z doesn't exist then an exception will be thrown. 2025-12-04T08:33:34.8370902Z 2025-12-04T08:33:34.8371334Z The fake kernel generation is considered unsafe because it relies on the 2025-12-04T08:33:34.8372399Z rigid, pre-defined operator profiles that do not account for potential 2025-12-04T08:33:34.8373733Z variations in output behavior. Specifically, the generated kernels assume a 2025-12-04T08:33:34.8375062Z fixed relationship between input and output ranks. However, in reality, it's 2025-12-04T08:33:34.8376192Z possible that data-dependent operations may produce outputs of different 2025-12-04T08:33:34.8377263Z ranks even when given inputs of the same rank. The generated fake kernels 2025-12-04T08:33:34.8378304Z are inflexible and unable to accommodate these nuances, making them 2025-12-04T08:33:34.8379031Z potentially unsafe. 2025-12-04T08:33:34.8379310Z 2025-12-04T08:33:34.8379447Z Args: 2025-12-04T08:33:34.8380045Z op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator 2025-12-04T08:33:34.8381056Z name to a set of operator profiles from which we will generate fake 2025-12-04T08:33:34.8381796Z kernels. 2025-12-04T08:33:34.8382054Z 2025-12-04T08:33:34.8382203Z Examples: 2025-12-04T08:33:34.8382416Z 2025-12-04T08:33:34.8382725Z >>> # Example: Registering an op-profile from draft-export 2025-12-04T08:33:34.8383407Z >>> import torch 2025-12-04T08:33:34.8383974Z >>> from torch.export._draft_export import draft_export 2025-12-04T08:33:34.8384633Z >>> 2025-12-04T08:33:34.8385181Z >>> @torch.library.custom_op("mylib::foo", mutates_args=()) 2025-12-04T08:33:34.8385903Z >>> def foo(x: Tensor, y: Tensor) -> Tensor: 2025-12-04T08:33:34.8386469Z >>> return x + y 2025-12-04T08:33:34.8386910Z >>> 2025-12-04T08:33:34.8387270Z >>> class M(torch.nn.Module): 2025-12-04T08:33:34.8387808Z >>> def forward(self, a, b): 2025-12-04T08:33:34.8388415Z >>> res = torch.ops.mylib.foo(a, b) # no fake impl 2025-12-04T08:33:34.8388954Z >>> return res 2025-12-04T08:33:34.8389358Z >>> 2025-12-04T08:33:34.8390042Z >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4)) 2025-12-04T08:33:34.8390593Z >>> 2025-12-04T08:33:34.8391342Z >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles): 2025-12-04T08:33:34.8392310Z >>> decomp = ep.run_decompositions() 2025-12-04T08:33:34.8392708Z 2025-12-04T08:33:34.8392716Z 2025-12-04T08:33:34.8393579Z Original Error: IncompleteParseError('ill-formed doctest: all parts have been processed but the doctest source is not balanced') 2025-12-04T08:33:34.8394706Z 2025-12-04T08:33:35.2365198Z msg = Cannot scrape callname=ActivationSparsifier in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py line=16. 2025-12-04T08:33:35.2367573Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:33:35.2368267Z 2025-12-04T08:33:35.2368783Z The Activation sparsifier class aims to sparsify/prune activations in a neural 2025-12-04T08:33:35.2369944Z network. The idea is to attach the sparsifier to a layer (or layers) and it 2025-12-04T08:33:35.2371060Z zeroes out the activations based on the mask_fn (or sparsification function) 2025-12-04T08:33:35.2371883Z input by the user. 2025-12-04T08:33:35.2372508Z The mask_fn is applied once all the inputs are aggregated and reduced i.e. 2025-12-04T08:33:35.2373957Z mask = mask_fn(reduce_fn(aggregate_fn(activations))) 2025-12-04T08:33:35.2374425Z 2025-12-04T08:33:35.2374620Z Note:: 2025-12-04T08:33:35.2375395Z The sparsification mask is computed on the input **before it goes through the attached layer**. 2025-12-04T08:33:35.2376209Z 2025-12-04T08:33:35.2376347Z Args: 2025-12-04T08:33:35.2376714Z model (nn.Module): 2025-12-04T08:33:35.2377410Z The model whose layers will be sparsified. The layers that needs to be 2025-12-04T08:33:35.2378451Z sparsified should be added separately using the register_layer() function 2025-12-04T08:33:35.2379356Z aggregate_fn (Optional, Callable): 2025-12-04T08:33:35.2380214Z default aggregate_fn that is used if not specified while registering the layer. 2025-12-04T08:33:35.2381212Z specifies how inputs should be aggregated over time. 2025-12-04T08:33:35.2382285Z The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor. 2025-12-04T08:33:35.2383372Z Example 2025-12-04T08:33:35.2383887Z def add_agg_fn(tensor1, tensor2): return tensor1 + tensor2 2025-12-04T08:33:35.2384590Z reduce_fn (Optional, Callable): 2025-12-04T08:33:35.2385597Z default reduce_fn that is used if not specified while registering the layer. 2025-12-04T08:33:35.2386710Z reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after 2025-12-04T08:33:35.2387588Z calling agg_fn() on all inputs. 2025-12-04T08:33:35.2388169Z Example 2025-12-04T08:33:35.2388813Z def mean_reduce_fn(agg_tensor): return agg_tensor.mean(dim=0) 2025-12-04T08:33:35.2389573Z mask_fn (Optional, Callable): 2025-12-04T08:33:35.2390523Z default mask_fn that is used to create the sparsification mask using the tensor obtained after 2025-12-04T08:33:35.2391777Z calling the reduce_fn(). This is used by default if a custom one is passed in the 2025-12-04T08:33:35.2392683Z register_layer(). 2025-12-04T08:33:35.2393696Z Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config 2025-12-04T08:33:35.2394764Z arguments. 2025-12-04T08:33:35.2395271Z features (Optional, list): 2025-12-04T08:33:35.2395898Z default selected features to sparsify. 2025-12-04T08:33:35.2396842Z If this is non-empty, then the mask_fn will be applied for each feature of the input. 2025-12-04T08:33:35.2397836Z For example, 2025-12-04T08:33:35.2399358Z mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features] 2025-12-04T08:33:35.2400351Z feature_dim (Optional, int): 2025-12-04T08:33:35.2401255Z default dimension of input features. Again, features along this dim will be chosen 2025-12-04T08:33:35.2402180Z for sparsification. 2025-12-04T08:33:35.2402738Z sparse_config (Dict): 2025-12-04T08:33:35.2403477Z Default configuration for the mask_fn. This config will be passed 2025-12-04T08:33:35.2404273Z with the mask_fn() 2025-12-04T08:33:35.2404613Z 2025-12-04T08:33:35.2404779Z Example: 2025-12-04T08:33:35.2405139Z >>> # xdoctest: +SKIP 2025-12-04T08:33:35.2405575Z >>> model = SomeModel() 2025-12-04T08:33:35.2406288Z >>> act_sparsifier = ActivationSparsifier(...) # init activation sparsifier 2025-12-04T08:33:35.2407109Z >>> # Initialize aggregate_fn 2025-12-04T08:33:35.2407616Z >>> def agg_fn(x, y): 2025-12-04T08:33:35.2408069Z >>> return x + y 2025-12-04T08:33:35.2408487Z >>> 2025-12-04T08:33:35.2408856Z >>> # Initialize reduce_fn 2025-12-04T08:33:35.2409350Z >>> def reduce_fn(x): 2025-12-04T08:33:35.2409829Z >>> return torch.mean(x, dim=0) 2025-12-04T08:33:35.2410370Z >>> 2025-12-04T08:33:35.2410735Z >>> # Initialize mask_fn 2025-12-04T08:33:35.2411362Z >>> def mask_fn(data): 2025-12-04T08:33:35.2411875Z >>> return torch.eye(data.shape).to(data.device) 2025-12-04T08:33:35.2412493Z >>> 2025-12-04T08:33:35.2412839Z >>> 2025-12-04T08:33:35.2413227Z >>> act_sparsifier.register_layer( 2025-12-04T08:33:35.2413810Z ... model.some_layer, 2025-12-04T08:33:35.2414313Z ... aggregate_fn=agg_fn, 2025-12-04T08:33:35.2414826Z ... reduce_fn=reduce_fn, 2025-12-04T08:33:35.2415332Z ... mask_fn=mask_fn, 2025-12-04T08:33:35.2415787Z ... ) 2025-12-04T08:33:35.2416083Z >>> 2025-12-04T08:33:35.2416458Z >>> # start training process 2025-12-04T08:33:35.2416978Z >>> for _ in [...]: 2025-12-04T08:33:35.2417398Z >>> # epoch starts 2025-12-04T08:33:35.2417985Z >>> # model.forward(), compute_loss() and model.backwards() 2025-12-04T08:33:35.2418661Z >>> # epoch ends 2025-12-04T08:33:35.2419118Z >>> act_sparsifier.step() 2025-12-04T08:33:35.2419659Z >>> # end training process 2025-12-04T08:33:35.2420271Z >>> sparsifier.squash_mask() 2025-12-04T08:33:35.2420638Z 2025-12-04T08:33:35.2421557Z Original Error: IndentationError("expected an indented block after 'for' statement on line 25", ('', 26, 1, '_._ = None\n', 26, 2)) 2025-12-04T08:33:35.2422776Z 2025-12-04T08:33:35.2422923Z _._ = None 2025-12-04T08:33:35.2423288Z ^ 2025-12-04T08:33:35.7580680Z msg = Cannot scrape callname=DeviceMesh.__getitem__ in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/device_mesh.py line=547. 2025-12-04T08:33:35.7582596Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:33:35.7583337Z 2025-12-04T08:33:35.7583863Z Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh. 2025-12-04T08:33:35.7585083Z The submesh created consists of the dimensions and the communicators indicated by 2025-12-04T08:33:35.7585985Z ``mesh_dim_names`` 2025-12-04T08:33:35.7586245Z 2025-12-04T08:33:35.7586389Z Args: 2025-12-04T08:33:35.7586988Z mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the 2025-12-04T08:33:35.7587946Z mesh dimension of the DeviceMesh to create the submesh for. 2025-12-04T08:33:35.7588663Z Returns: 2025-12-04T08:33:35.7589061Z A :class:`DeviceMesh` object 2025-12-04T08:33:35.7589426Z 2025-12-04T08:33:35.7589957Z The following program runs on each process/rank in an SPMD manner in a world size of 8. 2025-12-04T08:33:35.7590928Z In the first example: 2025-12-04T08:33:35.7591682Z Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]). 2025-12-04T08:33:35.7593116Z Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of DeviceMesh:([4, 5, 6, 7]). 2025-12-04T08:33:35.7594264Z Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of DeviceMesh:([0, 4]). 2025-12-04T08:33:35.7595337Z Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of DeviceMesh:([1, 5]). 2025-12-04T08:33:35.7596379Z Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of DeviceMesh:([2, 6]). 2025-12-04T08:33:35.7597433Z Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of DeviceMesh:([3, 7]). 2025-12-04T08:33:35.7598195Z 2025-12-04T08:33:35.7598367Z In the second example: 2025-12-04T08:33:35.7599160Z Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]). 2025-12-04T08:33:35.7600368Z Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]). 2025-12-04T08:33:35.7601531Z Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]). 2025-12-04T08:33:35.7602732Z Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]). 2025-12-04T08:33:35.7603469Z 2025-12-04T08:33:35.7603685Z Example:: 2025-12-04T08:33:35.7603908Z 2025-12-04T08:33:35.7604094Z >>> # xdoctest: +SKIP("no rank") 2025-12-04T08:33:35.7604959Z >>> from torch.distributed.device_mesh import DeviceMesh 2025-12-04T08:33:35.7605664Z >>> 2025-12-04T08:33:35.7606248Z >>> # Initialize a 2D device mesh as (2, 4) to represent the topology 2025-12-04T08:33:35.7607025Z >>> # of cross-host(dim 0), and within-host (dim 1). 2025-12-04T08:33:35.7607901Z >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-12-04T08:33:35.7608806Z >>> tp_mesh = mesh_2d["tp"] 2025-12-04T08:33:35.7609314Z >>> dp_mesh = mesh_2d["dp"] 2025-12-04T08:33:35.7609799Z >>> 2025-12-04T08:33:35.7610141Z >>> # Initialize a 3D mesh. 2025-12-04T08:33:35.7610944Z >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp")) 2025-12-04T08:33:35.7612221Z >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh. 2025-12-04T08:33:35.7613146Z >>> dp_cp_mesh = mesh_3d["dp", "cp"] 2025-12-04T08:33:35.7613686Z >>> cp_dp_mesh = mesh_3d["cp", "dp"] 2025-12-04T08:33:35.7614210Z 2025-12-04T08:33:35.7615514Z Original Error: SyntaxError('positional argument follows keyword argument', ('', 6, 82, 'mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))\n', 6, 83)) 2025-12-04T08:33:35.7617050Z 2025-12-04T08:33:35.7617498Z mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-12-04T08:33:35.7618406Z ^ 2025-12-04T08:33:36.0626775Z msg = Cannot scrape callname=SavePlanner in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/planner.py line=122. 2025-12-04T08:33:36.0628686Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:33:36.0629402Z 2025-12-04T08:33:36.0629946Z Abstract class defining the protocol used by save_state_dict to plan the save process. 2025-12-04T08:33:36.0630795Z 2025-12-04T08:33:36.0631355Z SavePlanners are stateful objects that can be used to customize the whole save process. 2025-12-04T08:33:36.0632154Z 2025-12-04T08:33:36.0632676Z SavePlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-12-04T08:33:36.0633652Z will be visible to the whole process. 2025-12-04T08:33:36.0634060Z 2025-12-04T08:33:36.0634594Z A planner subclass can expect the following sequence of calls during save_state_dict: 2025-12-04T08:33:36.0635381Z 2025-12-04T08:33:36.0635593Z 1) set_up_planner - called on all ranks. 2025-12-04T08:33:36.0636228Z Signals the start of a checkpoint save. 2025-12-04T08:33:36.0636662Z 2025-12-04T08:33:36.0636888Z 2) create_local_plan - called on all ranks. 2025-12-04T08:33:36.0638318Z Process the state_dict and produces a `SavePlan` that will be sent for global planning. 2025-12-04T08:33:36.0639136Z 2025-12-04T08:33:36.0639467Z 3) create_global_plan - called on the coordinator rank only. 2025-12-04T08:33:36.0640398Z Takes the SavePlan from all ranks and make any global decision. 2025-12-04T08:33:36.0641006Z 2025-12-04T08:33:36.0641223Z 4) finish_plan - called on all ranks. 2025-12-04T08:33:36.0642002Z This gives each rank a chance to adjust to global planning decisions. 2025-12-04T08:33:36.0642658Z 2025-12-04T08:33:36.0642936Z 5) resolve_data - called multiple times on each rank 2025-12-04T08:33:36.0643819Z Lookups a value on the `state_dict` for the storage layer to write. 2025-12-04T08:33:36.0644430Z 2025-12-04T08:33:36.0645010Z Users are recommended to extend DefaultSavePlanner instead of this interface directly as 2025-12-04T08:33:36.0646156Z most changes can be expressed by changes in a single method. 2025-12-04T08:33:36.0646733Z 2025-12-04T08:33:36.0646958Z There are 3 usual patterns of extension: 2025-12-04T08:33:36.0647385Z 2025-12-04T08:33:36.0647879Z Rewriting state_dict. This is the simplest way to extend the save process as it 2025-12-04T08:33:36.0649016Z doesn't requite understanding the intrincacies of how SavePlan works: 2025-12-04T08:33:36.0649797Z 2025-12-04T08:33:36.0649996Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T08:33:36.0650641Z >>> class RenamePlanner(DefaultSavePlanner): 2025-12-04T08:33:36.0651272Z >>> def set_up_planner( 2025-12-04T08:33:36.0651736Z >>> self, 2025-12-04T08:33:36.0652178Z >>> state_dict: STATE_DICT_TYPE, 2025-12-04T08:33:36.0652808Z >>> storage_meta: Optional[StorageMeta], 2025-12-04T08:33:36.0653389Z >>> is_coordinator: bool, 2025-12-04T08:33:36.0653872Z >>> ) -> None: 2025-12-04T08:33:36.0654301Z >>> # prefix all keys with `foo_`` 2025-12-04T08:33:36.0655203Z >>> super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator) 2025-12-04T08:33:36.0655973Z 2025-12-04T08:33:36.0656539Z Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted 2025-12-04T08:33:36.0657288Z 2025-12-04T08:33:36.0657470Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T08:33:36.0658024Z >>> class FP16Planner(DefaultSavePlanner): 2025-12-04T08:33:36.0658759Z >>> def create_local_plan(self): 2025-12-04T08:33:36.0659327Z >>> plan = super().create_local_plan() 2025-12-04T08:33:36.0659920Z >>> for p in plan: 2025-12-04T08:33:36.0660416Z >>> if p.tensor_data is not None: 2025-12-04T08:33:36.0661110Z >>> p.tensor_data.properties.dtype = torch.float16 2025-12-04T08:33:36.0661777Z >>> return plan 2025-12-04T08:33:36.0662195Z >>> 2025-12-04T08:33:36.0662591Z >>> def resolve_data(self, write_item): 2025-12-04T08:33:36.0663391Z >>> item = super().resolve_data(write_item) 2025-12-04T08:33:36.0664350Z >>> return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16) 2025-12-04T08:33:36.0665062Z 2025-12-04T08:33:36.0665687Z Using the global planning step to make central decisions that can't be made individually by each rank 2025-12-04T08:33:36.0666494Z 2025-12-04T08:33:36.0666694Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T08:33:36.0667300Z >>> from itertools import zip_longest 2025-12-04T08:33:36.0667837Z >>> from dataclasses import replace 2025-12-04T08:33:36.0668465Z >>> class DDPLoadBalancingPlanner(DefaultSavePlanner): 2025-12-04T08:33:36.0669452Z >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0 2025-12-04T08:33:36.0670429Z >>> # This sample doesn't handle ShardedTensors 2025-12-04T08:33:36.0671034Z >>> def create_global_plan(self, all_plans): 2025-12-04T08:33:36.0671720Z >>> iters = [iter(all_plans[0].items)] * len(all_plans) 2025-12-04T08:33:36.0672369Z >>> items_per_rank = [ 2025-12-04T08:33:36.0673390Z >>> [item for item in items if item is not None] 2025-12-04T08:33:36.0674128Z >>> for items in zip(*zip_longest(*iters), strict=True) 2025-12-04T08:33:36.0674783Z >>> ] 2025-12-04T08:33:36.0675157Z >>> all_plans = [ 2025-12-04T08:33:36.0675645Z >>> replace(plan, items=items) 2025-12-04T08:33:36.0676356Z >>> for plan, items in zip(all_plans, items_per_rank, strict=True) 2025-12-04T08:33:36.0677077Z >>> ] 2025-12-04T08:33:36.0677525Z >>> return super().create_global_plan(all_plans) 2025-12-04T08:33:36.0678084Z 2025-12-04T08:33:36.0678582Z Finally, some planners need to save additional metadata in the checkpoint, this is 2025-12-04T08:33:36.0679823Z accomplished by having each rank contribute their data items in the local plan and 2025-12-04T08:33:36.0680744Z the global planner aggregate them: 2025-12-04T08:33:36.0681136Z 2025-12-04T08:33:36.0681329Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T08:33:36.0682010Z >>> class SaveExtraDataPlanner(DefaultSavePlanner): 2025-12-04T08:33:36.0682719Z >>> def create_local_plan(self) -> SavePlan: 2025-12-04T08:33:36.0683348Z >>> plan = super().create_local_plan() 2025-12-04T08:33:36.0684043Z >>> return replace(plan, planner_data="per-rank-data") 2025-12-04T08:33:36.0684673Z >>> 2025-12-04T08:33:36.0685478Z >>> def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]: 2025-12-04T08:33:36.0686620Z >>> global_plan, metadata = super().create_global_plan(all_plans) 2025-12-04T08:33:36.0687492Z >>> merged_data = [p.planner_data for p in global_plan] 2025-12-04T08:33:36.0688298Z >>> metadata = replace(metadata, planner_data=merged_data) 2025-12-04T08:33:36.0688991Z >>> return global_plan, metadata 2025-12-04T08:33:36.0689384Z 2025-12-04T08:33:36.0690394Z Original Error: IndentationError('expected an indented block after function definition on line 3', ('', 9, 0, '_._ = None\n', 9, -1)) 2025-12-04T08:33:36.0691652Z 2025-12-04T08:33:36.0691824Z _._ = None 2025-12-04T08:33:36.0692175Z ^ 2025-12-04T08:33:36.0693559Z msg = Cannot scrape callname=LoadPlanner in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/planner.py line=305. 2025-12-04T08:33:36.0695410Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:33:36.0696245Z 2025-12-04T08:33:36.0696779Z Abstract class defining the protocol used by load_state_dict to plan the load process. 2025-12-04T08:33:36.0697548Z 2025-12-04T08:33:36.0698065Z LoadPlanner are stateful objects that can be used to customize the whole load process. 2025-12-04T08:33:36.0698845Z 2025-12-04T08:33:36.0699320Z LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-12-04T08:33:36.0700272Z will be visible to the whole process. 2025-12-04T08:33:36.0700681Z 2025-12-04T08:33:36.0701196Z A planner subclass can expect the following sequence of calls during load_state_dict: 2025-12-04T08:33:36.0701960Z 2025-12-04T08:33:36.0702183Z 1) set_up_planner - called on all ranks. 2025-12-04T08:33:36.0702796Z Signals the start of loading a checkpoint. 2025-12-04T08:33:36.0703212Z 2025-12-04T08:33:36.0703417Z 2) create_local_plan - called on all ranks. 2025-12-04T08:33:36.0704327Z Process the state_dict and produces a `LoadPlan` that will be sent for global planning. 2025-12-04T08:33:36.0705102Z 2025-12-04T08:33:36.0705451Z 3) create_global_plan - called on the coordinator rank only. 2025-12-04T08:33:36.0706349Z Takes the LoadPlan from all ranks and make any global decision. 2025-12-04T08:33:36.0706946Z 2025-12-04T08:33:36.0707198Z 4) load_bytes - called multiple times on each rank 2025-12-04T08:33:36.0707975Z This is called once per non-tensor value in state_dict. 2025-12-04T08:33:36.0708505Z 2025-12-04T08:33:36.0708924Z 5) resolve_tensor and commit_tensor - called multiple times on each rank 2025-12-04T08:33:36.0709880Z They are called in pair for each Tensor value in state_dict. 2025-12-04T08:33:36.0710604Z 2025-12-04T08:33:36.0711137Z Users are recommended to extend DefaultLoadPlanner instead of this interface directly as 2025-12-04T08:33:36.0712200Z most changes can be expressed by changes in a single method. 2025-12-04T08:33:36.0712744Z 2025-12-04T08:33:36.0712961Z There are two usual patterns of extension: 2025-12-04T08:33:36.0713394Z 2025-12-04T08:33:36.0713836Z Rewriting state_dict. This is the simplest way to extend the load process as it 2025-12-04T08:33:36.0714984Z doesn't requite understanding the intrincacies of how LoadPlan works. We need 2025-12-04T08:33:36.0716078Z to keep a reference to the original state_dict as load happens in place so 2025-12-04T08:33:36.0716923Z we need to be able to perform it in place 2025-12-04T08:33:36.0717356Z 2025-12-04T08:33:36.0717541Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T08:33:36.0718263Z >>> class RenamePlanner(DefaultLoadPlanner): 2025-12-04T08:33:36.0718856Z >>> def set_up_planner( 2025-12-04T08:33:36.0719321Z >>> self, 2025-12-04T08:33:36.0719754Z >>> state_dict: STATE_DICT_TYPE, 2025-12-04T08:33:36.0720317Z >>> metadata: Metadata, 2025-12-04T08:33:36.0720798Z >>> is_coordinator: bool, 2025-12-04T08:33:36.0721300Z >>> ) -> None: 2025-12-04T08:33:36.0721755Z >>> self.original_state_dict = state_dict 2025-12-04T08:33:36.0722571Z >>> state_dict = {"foo_" + k: v for k, v in state_dict.items()} 2025-12-04T08:33:36.0723248Z >>> 2025-12-04T08:33:36.0723646Z >>> if self.flatten_sharded_tensors: 2025-12-04T08:33:36.0724299Z >>> state_dict = _flatten_sharded_tensors(state_dict) 2025-12-04T08:33:36.0724921Z >>> 2025-12-04T08:33:36.0725293Z >>> if self.flatten_state_dict: 2025-12-04T08:33:36.0725994Z >>> state_dict, self.mappings = flatten_state_dict(state_dict) 2025-12-04T08:33:36.0726682Z >>> 2025-12-04T08:33:36.0727078Z >>> self.state_dict = state_dict 2025-12-04T08:33:36.0727668Z >>> self.metadata = metadata 2025-12-04T08:33:36.0728250Z >>> self.is_coordinator = is_coordinator 2025-12-04T08:33:36.0728831Z >>> 2025-12-04T08:33:36.0729243Z >>> def load_bytes(self, read_item, value): 2025-12-04T08:33:36.0729851Z >>> # Remove the "foo_" prefix 2025-12-04T08:33:36.0730778Z >>> self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False) 2025-12-04T08:33:36.0731712Z 2025-12-04T08:33:36.0731719Z 2025-12-04T08:33:36.0732182Z Modifying resolve_tensor and commit_tensor to handle load time transformation. 2025-12-04T08:33:36.0732894Z 2025-12-04T08:33:36.0733084Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T08:33:36.0733723Z >>> class MetaModelMaterialize(DefaultSavePlanner): 2025-12-04T08:33:36.0734426Z >>> def resolve_tensor(self, read_item): 2025-12-04T08:33:36.0735072Z >>> tensor = super().resolve_tensor(read_item) 2025-12-04T08:33:36.0735753Z >>> return torch.empty_like(tensor, device="cpu") 2025-12-04T08:33:36.0736332Z >>> 2025-12-04T08:33:36.0736747Z >>> def commit_tensor(self, read_item, tensor): 2025-12-04T08:33:36.0737434Z >>> self.state_dict[read_item.dest_index.fqn] = tensor 2025-12-04T08:33:36.0737943Z 2025-12-04T08:33:36.0738957Z Original Error: IndentationError('expected an indented block after function definition on line 22', ('', 23, 0, '_._ = None\n', 23, -1)) 2025-12-04T08:33:36.0740226Z 2025-12-04T08:33:36.0740372Z _._ = None 2025-12-04T08:33:36.0740728Z ^ 2025-12-04T08:33:36.2949449Z msg = Cannot scrape callname=FullStateDictConfig in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/fsdp/api.py line=295. 2025-12-04T08:33:36.2951289Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:33:36.2951920Z 2025-12-04T08:33:36.2952335Z ``FullStateDictConfig`` is a config class meant to be used with 2025-12-04T08:33:36.2953277Z ``StateDictType.FULL_STATE_DICT``. We recommend enabling both 2025-12-04T08:33:36.2954616Z ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state 2025-12-04T08:33:36.2955607Z dicts to save GPU memory and CPU memory, respectively. This config class 2025-12-04T08:33:36.2956602Z is meant to be used via the :func:`state_dict_type` context manager as 2025-12-04T08:33:36.2957344Z follows: 2025-12-04T08:33:36.2957550Z 2025-12-04T08:33:36.2957889Z >>> # xdoctest: +SKIP("undefined variables") 2025-12-04T08:33:36.2958671Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2025-12-04T08:33:36.2959448Z >>> fsdp = FSDP(model, auto_wrap_policy=...) 2025-12-04T08:33:36.2960238Z >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True) 2025-12-04T08:33:36.2961259Z >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg): 2025-12-04T08:33:36.2962049Z >>> state = fsdp.state_dict() 2025-12-04T08:33:36.2962804Z >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0. 2025-12-04T08:33:36.2963802Z >>> # To reload checkpoint for inference, finetuning, transfer learning, etc: 2025-12-04T08:33:36.2964890Z >>> model = model_fn() # Initialize model in preparation for wrapping with FSDP 2025-12-04T08:33:36.2965721Z >>> if dist.get_rank() == 0: 2025-12-04T08:33:36.2966397Z >>> # Load checkpoint only on rank 0 to avoid memory redundancy 2025-12-04T08:33:36.2967346Z >>> state_dict = torch.load("my_checkpoint.pt") 2025-12-04T08:33:36.2967964Z >>> model.load_state_dict(state_dict) 2025-12-04T08:33:36.2968811Z >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument 2025-12-04T08:33:36.2969882Z >>> # communicates loaded checkpoint states from rank 0 to rest of the world. 2025-12-04T08:33:36.2970690Z >>> fsdp = FSDP( 2025-12-04T08:33:36.2971098Z ... model, 2025-12-04T08:33:36.2971557Z ... device_id=torch.cuda.current_device(), 2025-12-04T08:33:36.2972167Z ... auto_wrap_policy=..., 2025-12-04T08:33:36.2972935Z ... sync_module_states=True, 2025-12-04T08:33:36.2973448Z ... ) 2025-12-04T08:33:36.2974044Z >>> # After this point, all ranks have FSDP model with loaded checkpoint. 2025-12-04T08:33:36.2974693Z 2025-12-04T08:33:36.2974848Z Attributes: 2025-12-04T08:33:36.2975427Z rank0_only (bool): If ``True``, then only rank 0 saves the full state 2025-12-04T08:33:36.2976553Z dict, and nonzero ranks save an empty dict. If ``False``, then all 2025-12-04T08:33:36.2977403Z ranks save the full state dict. (Default: ``False``) 2025-12-04T08:33:36.2977757Z 2025-12-04T08:33:36.2978543Z Original Error: IndentationError("expected an indented block after 'if' statement on line 10", ('', 11, 1, '_._ = None\n', 11, 2)) 2025-12-04T08:33:36.2979639Z 2025-12-04T08:33:36.2979783Z _._ = None 2025-12-04T08:33:36.2980138Z ^ 2025-12-04T08:33:37.7553996Z msg = Cannot scrape callname=register_parametrization in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/parametrize.py line=437. 2025-12-04T08:33:37.7555924Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:33:37.7556904Z Register a parametrization to a tensor in a module. 2025-12-04T08:33:37.7557350Z 2025-12-04T08:33:37.7557935Z Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``, 2025-12-04T08:33:37.7559083Z the module will return the parametrized version ``parametrization(module.weight)``. 2025-12-04T08:33:37.7560367Z If the original tensor requires a gradient, the backward pass will differentiate 2025-12-04T08:33:37.7561626Z through :attr:`parametrization`, and the optimizer will update the tensor accordingly. 2025-12-04T08:33:37.7562354Z 2025-12-04T08:33:37.7562916Z The first time that a module registers a parametrization, this function will add an attribute 2025-12-04T08:33:37.7564129Z ``parametrizations`` to the module of type :class:`~ParametrizationList`. 2025-12-04T08:33:37.7564766Z 2025-12-04T08:33:37.7565593Z The list of parametrizations on the tensor ``weight`` will be accessible under 2025-12-04T08:33:37.7566505Z ``module.parametrizations.weight``. 2025-12-04T08:33:37.7566927Z 2025-12-04T08:33:37.7567128Z The original tensor will be accessible under 2025-12-04T08:33:37.7567830Z ``module.parametrizations.weight.original``. 2025-12-04T08:33:37.7568308Z 2025-12-04T08:33:37.7568807Z Parametrizations may be concatenated by registering several parametrizations 2025-12-04T08:33:37.7569668Z on the same attribute. 2025-12-04T08:33:37.7569993Z 2025-12-04T08:33:37.7570432Z The training mode of a registered parametrization is updated on registration 2025-12-04T08:33:37.7571345Z to match the training mode of the host module 2025-12-04T08:33:37.7571762Z 2025-12-04T08:33:37.7572262Z Parametrized parameters and buffers have an inbuilt caching system that can be activated 2025-12-04T08:33:37.7573497Z using the context manager :func:`cached`. 2025-12-04T08:33:37.7573935Z 2025-12-04T08:33:37.7574382Z A :attr:`parametrization` may optionally implement a method with signature 2025-12-04T08:33:37.7575052Z 2025-12-04T08:33:37.7575281Z .. code-block:: python 2025-12-04T08:33:37.7575590Z 2025-12-04T08:33:37.7575977Z def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]] 2025-12-04T08:33:37.7576611Z 2025-12-04T08:33:37.7577249Z This method is called on the unparametrized tensor when the first parametrization 2025-12-04T08:33:37.7578347Z is registered to compute the initial value of the original tensor. 2025-12-04T08:33:37.7579539Z If this method is not implemented, the original tensor will be just the unparametrized tensor. 2025-12-04T08:33:37.7580348Z 2025-12-04T08:33:37.7580930Z If all the parametrizations registered on a tensor implement `right_inverse` it is possible 2025-12-04T08:33:37.7582114Z to initialize a parametrized tensor by assigning to it, as shown in the example below. 2025-12-04T08:33:37.7582914Z 2025-12-04T08:33:37.7583337Z It is possible for the first parametrization to depend on several inputs. 2025-12-04T08:33:37.7584436Z This may be implemented returning a tuple of tensors from ``right_inverse`` 2025-12-04T08:33:37.7585542Z (see the example implementation of a ``RankOne`` parametrization below). 2025-12-04T08:33:37.7586210Z 2025-12-04T08:33:37.7586836Z In this case, the unconstrained tensors are also located under ``module.parametrizations.weight`` 2025-12-04T08:33:37.7588082Z with names ``original0``, ``original1``,... 2025-12-04T08:33:37.7588518Z 2025-12-04T08:33:37.7588693Z .. note:: 2025-12-04T08:33:37.7588914Z 2025-12-04T08:33:37.7589402Z If unsafe=False (default) both the forward and right_inverse methods will be called 2025-12-04T08:33:37.7590362Z once to perform a number of consistency checks. 2025-12-04T08:33:37.7591329Z If unsafe=True, then right_inverse will be called if the tensor is not parametrized, 2025-12-04T08:33:37.7592258Z and nothing will be called otherwise. 2025-12-04T08:33:37.7592664Z 2025-12-04T08:33:37.7592827Z .. note:: 2025-12-04T08:33:37.7593050Z 2025-12-04T08:33:37.7593411Z In most situations, ``right_inverse`` will be a function such that 2025-12-04T08:33:37.7594207Z ``forward(right_inverse(X)) == X`` (see 2025-12-04T08:33:37.7595139Z `right inverse `_). 2025-12-04T08:33:37.7596376Z Sometimes, when the parametrization is not surjective, it may be reasonable 2025-12-04T08:33:37.7597198Z to relax this. 2025-12-04T08:33:37.7597429Z 2025-12-04T08:33:37.7597679Z .. warning:: 2025-12-04T08:33:37.7597880Z 2025-12-04T08:33:37.7598339Z If a parametrization depends on several inputs, :func:`~register_parametrization` 2025-12-04T08:33:37.7599514Z will register a number of new parameters. If such parametrization is registered 2025-12-04T08:33:37.7600693Z after the optimizer is created, these new parameters will need to be added manually 2025-12-04T08:33:37.7601968Z to the optimizer. See :meth:`torch.Optimizer.add_param_group`. 2025-12-04T08:33:37.7602532Z 2025-12-04T08:33:37.7602672Z Args: 2025-12-04T08:33:37.7603229Z module (nn.Module): module on which to register the parametrization 2025-12-04T08:33:37.7604197Z tensor_name (str): name of the parameter or buffer on which to register 2025-12-04T08:33:37.7604958Z the parametrization 2025-12-04T08:33:37.7605647Z parametrization (nn.Module): the parametrization to register 2025-12-04T08:33:37.7606403Z Keyword args: 2025-12-04T08:33:37.7607040Z unsafe (bool): a boolean flag that denotes whether the parametrization 2025-12-04T08:33:37.7607997Z may change the dtype and shape of the tensor. Default: `False` 2025-12-04T08:33:37.7609047Z Warning: the parametrization is not checked for consistency upon registration. 2025-12-04T08:33:37.7609969Z Enable this flag at your own risk. 2025-12-04T08:33:37.7610358Z 2025-12-04T08:33:37.7610511Z Raises: 2025-12-04T08:33:37.7611197Z ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name` 2025-12-04T08:33:37.7611898Z 2025-12-04T08:33:37.7612054Z Examples: 2025-12-04T08:33:37.7612490Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK) 2025-12-04T08:33:37.7613154Z >>> import torch 2025-12-04T08:33:37.7613592Z >>> import torch.nn as nn 2025-12-04T08:33:37.7614148Z >>> import torch.nn.utils.parametrize as P 2025-12-04T08:33:37.7614664Z >>> 2025-12-04T08:33:37.7615036Z >>> class Symmetric(nn.Module): 2025-12-04T08:33:37.7615578Z >>> def forward(self, X): 2025-12-04T08:33:37.7616166Z >>> return X.triu() + X.triu(1).T # Return a symmetric matrix 2025-12-04T08:33:37.7616793Z >>> 2025-12-04T08:33:37.7617188Z >>> def right_inverse(self, A): 2025-12-04T08:33:37.7617744Z >>> return A.triu() 2025-12-04T08:33:37.7618229Z >>> 2025-12-04T08:33:37.7618613Z >>> m = nn.Linear(5, 5) 2025-12-04T08:33:37.7619209Z >>> P.register_parametrization(m, "weight", Symmetric()) 2025-12-04T08:33:37.7620148Z >>> print(torch.allclose(m.weight, m.weight.T)) # m.weight is now symmetric 2025-12-04T08:33:37.7620954Z True 2025-12-04T08:33:37.7621341Z >>> A = torch.rand(5, 5) 2025-12-04T08:33:37.7621967Z >>> A = A + A.T # A is now symmetric 2025-12-04T08:33:37.7622702Z >>> m.weight = A # Initialize the weight to be the symmetric matrix A 2025-12-04T08:33:37.7623493Z >>> print(torch.allclose(m.weight, A)) 2025-12-04T08:33:37.7623977Z True 2025-12-04T08:33:37.7624186Z 2025-12-04T08:33:37.7624344Z >>> class RankOne(nn.Module): 2025-12-04T08:33:37.7624868Z >>> def forward(self, x, y): 2025-12-04T08:33:37.7625459Z >>> # Form a rank 1 matrix multiplying two vectors 2025-12-04T08:33:37.7626128Z >>> return x.unsqueeze(-1) @ y.unsqueeze(-2) 2025-12-04T08:33:37.7626695Z >>> 2025-12-04T08:33:37.7627084Z >>> def right_inverse(self, Z): 2025-12-04T08:33:37.7627667Z >>> # Project Z onto the rank 1 matrices 2025-12-04T08:33:37.7628340Z >>> U, S, Vh = torch.linalg.svd(Z, full_matrices=False) 2025-12-04T08:33:37.7629005Z >>> # Return rescaled singular vectors 2025-12-04T08:33:37.7629557Z >>> s0_sqrt = S[0].sqrt().unsqueeze(-1) 2025-12-04T08:33:37.7630206Z >>> return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt 2025-12-04T08:33:37.7630832Z >>> 2025-12-04T08:33:37.7631291Z >>> linear_rank_one = P.register_parametrization( 2025-12-04T08:33:37.7631982Z ... nn.Linear(4, 4), "weight", RankOne() 2025-12-04T08:33:37.7632563Z ... ) 2025-12-04T08:33:37.7633149Z >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item()) 2025-12-04T08:33:37.7633900Z 1 2025-12-04T08:33:37.7634131Z 2025-12-04T08:33:37.7634270Z 2025-12-04T08:33:37.7635645Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 3, 0, '_._ = None\n', 3, -1)) 2025-12-04T08:33:37.7636892Z 2025-12-04T08:33:37.7637045Z _._ = None 2025-12-04T08:33:37.7637414Z ^ 2025-12-04T08:33:37.8544523Z msg = Cannot scrape callname=ReduceLROnPlateau in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py line=1586. 2025-12-04T08:33:37.8546379Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:33:37.8547359Z Reduce learning rate when a metric has stopped improving. 2025-12-04T08:33:37.8547923Z 2025-12-04T08:33:37.8548302Z Models often benefit from reducing the learning rate by a factor 2025-12-04T08:33:37.8549252Z of 2-10 once learning stagnates. This scheduler reads a metrics 2025-12-04T08:33:37.8550174Z quantity and if no improvement is seen for a 'patience' number 2025-12-04T08:33:37.8551036Z of epochs, the learning rate is reduced. 2025-12-04T08:33:37.8551519Z 2025-12-04T08:33:37.8551673Z Args: 2025-12-04T08:33:37.8552142Z optimizer (Optimizer): Wrapped optimizer. 2025-12-04T08:33:37.8552891Z mode (str): One of `min`, `max`. In `min` mode, lr will 2025-12-04T08:33:37.8553690Z be reduced when the quantity monitored has stopped 2025-12-04T08:33:37.8554855Z decreasing; in `max` mode it will be reduced when the 2025-12-04T08:33:37.8555742Z quantity monitored has stopped increasing. Default: 'min'. 2025-12-04T08:33:37.8556648Z factor (float): Factor by which the learning rate will be 2025-12-04T08:33:37.8557453Z reduced. new_lr = lr * factor. Default: 0.1. 2025-12-04T08:33:37.8558455Z patience (int): The number of allowed epochs with no improvement after 2025-12-04T08:33:37.8559330Z which the learning rate will be reduced. 2025-12-04T08:33:37.8560234Z For example, consider the case of having no patience (`patience = 0`). 2025-12-04T08:33:37.8561544Z In the first epoch, a baseline is established and is always considered good as there's no previous baseline. 2025-12-04T08:33:37.8562797Z In the second epoch, if the performance is worse than the baseline, 2025-12-04T08:33:37.8563632Z we have what is considered an intolerable epoch. 2025-12-04T08:33:37.8564851Z Since the count of intolerable epochs (1) is greater than the patience level (0), 2025-12-04T08:33:37.8565921Z the learning rate is reduced at the end of this epoch. 2025-12-04T08:33:37.8567067Z From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch 2025-12-04T08:33:37.8568462Z if the performance is worse than the baseline. If the performance improves or remains the same, 2025-12-04T08:33:37.8569520Z the learning rate is not adjusted. 2025-12-04T08:33:37.8570134Z Default: 10. 2025-12-04T08:33:37.8570784Z threshold (float): Threshold for measuring the new optimum, 2025-12-04T08:33:37.8571646Z to only focus on significant changes. Default: 1e-4. 2025-12-04T08:33:37.8572486Z threshold_mode (str): One of `rel`, `abs`. In `rel` mode, 2025-12-04T08:33:37.8573559Z dynamic_threshold = best * ( 1 + threshold ) in 'max' 2025-12-04T08:33:37.8574354Z mode or best * ( 1 - threshold ) in `min` mode. 2025-12-04T08:33:37.8575085Z In `abs` mode, dynamic_threshold = best + threshold in 2025-12-04T08:33:37.8575920Z `max` mode or best - threshold in `min` mode. Default: 'rel'. 2025-12-04T08:33:37.8576807Z cooldown (int): Number of epochs to wait before resuming 2025-12-04T08:33:37.8577692Z normal operation after lr has been reduced. Default: 0. 2025-12-04T08:33:37.8578563Z min_lr (float or list): A scalar or a list of scalars. A 2025-12-04T08:33:37.8579372Z lower bound on the learning rate of all param groups 2025-12-04T08:33:37.8580361Z or each group respectively. Default: 0. 2025-12-04T08:33:37.8581165Z eps (float): Minimal decay applied to lr. If the difference 2025-12-04T08:33:37.8582056Z between new and old lr is smaller than eps, the update is 2025-12-04T08:33:37.8582797Z ignored. Default: 1e-8. 2025-12-04T08:33:37.8583164Z 2025-12-04T08:33:37.8583314Z Example: 2025-12-04T08:33:37.8583703Z >>> # xdoctest: +SKIP 2025-12-04T08:33:37.8584411Z >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9) 2025-12-04T08:33:37.8585319Z >>> scheduler = ReduceLROnPlateau(optimizer, "min") 2025-12-04T08:33:37.8586038Z >>> for epoch in range(10): 2025-12-04T08:33:37.8586575Z >>> train(...) 2025-12-04T08:33:37.8587084Z >>> val_loss = validate(...) 2025-12-04T08:33:37.8587746Z >>> # Note that step should be called after validate() 2025-12-04T08:33:37.8588448Z >>> scheduler.step(val_loss) 2025-12-04T08:33:37.8588854Z 2025-12-04T08:33:37.8589266Z .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png 2025-12-04T08:33:37.8590012Z 2025-12-04T08:33:37.8591013Z Original Error: IndentationError('unexpected indent', ('', 8, 4, ' scheduler.step(val_loss)\n', 8, -1)) 2025-12-04T08:33:37.8592013Z 2025-12-04T08:33:37.8592409Z scheduler.step(val_loss) 2025-12-04T08:33:37.8592911Z ^ 2025-12-04T08:33:39.9030846Z running 894 test(s) 2025-12-04T08:33:39.9087893Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::typename:0, line 1111 <- wrt source file 2025-12-04T08:33:39.9460793Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::typename:0 2025-12-04T08:33:39.9467197Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::is_tensor:0, line 1142 <- wrt source file 2025-12-04T08:33:39.9474436Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::is_tensor:0 2025-12-04T08:33:39.9476430Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::is_storage:0, line 1157 <- wrt source file 2025-12-04T08:33:39.9497356Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::is_storage:0 2025-12-04T08:33:39.9505583Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::set_default_device:0, line 1247 <- wrt source file 2025-12-04T08:33:39.9508244Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::set_default_device:0 2025-12-04T08:33:39.9510525Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::set_default_tensor_type:0, line 1296 <- wrt source file 2025-12-04T08:33:39.9512985Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::set_default_tensor_type:0 2025-12-04T08:33:39.9515273Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::set_default_dtype:0, line 1333 <- wrt source file 2025-12-04T08:33:39.9517700Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::set_default_dtype:0 2025-12-04T08:33:39.9520038Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::use_deterministic_algorithms:0, line 1497 <- wrt source file 2025-12-04T08:33:39.9522535Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::use_deterministic_algorithms:0 2025-12-04T08:33:39.9524577Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::compile:0, line 2655 <- wrt source file 2025-12-04T08:33:39.9526574Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::compile:0 2025-12-04T08:33:39.9531700Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0, line 2963 <- wrt source file 2025-12-04T08:33:39.9534464Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0 2025-12-04T08:33:39.9537088Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_C.cpython-314-x86_64-linux-gnu.so::Generator:0, line 15 <- wrt source file 2025-12-04T08:33:39.9539686Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_C.cpython-314-x86_64-linux-gnu.so::Generator:0 2025-12-04T08:33:39.9542042Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_C.cpython-314-x86_64-linux-gnu.so::_LinAlgError:0, line 5 <- wrt source file 2025-12-04T08:33:39.9544497Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_C.cpython-314-x86_64-linux-gnu.so::_LinAlgError:0 2025-12-04T08:33:39.9546714Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_custom_ops.py::custom_op:0, line 55 <- wrt source file 2025-12-04T08:33:39.9548643Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_custom_ops.py::custom_op:0 2025-12-04T08:33:39.9550750Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_custom_ops.py::impl:0, line 138 <- wrt source file 2025-12-04T08:33:39.9552748Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_custom_ops.py::impl:0 2025-12-04T08:33:39.9554856Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_custom_ops.py::impl_abstract:0, line 208 <- wrt source file 2025-12-04T08:33:40.0462895Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_custom_ops.py::impl_abstract:0 2025-12-04T08:33:40.0465315Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_namedtensor_internals.py::update_names:0, line 118 <- wrt source file 2025-12-04T08:33:40.0467537Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_namedtensor_internals.py::update_names:0 2025-12-04T08:33:40.0469486Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor.py::Tensor.register_hook:0, line 681 <- wrt source file 2025-12-04T08:33:40.0635158Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor.py::Tensor.register_hook:0 2025-12-04T08:33:40.0637449Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0, line 738 <- wrt source file 2025-12-04T08:33:40.1198845Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0 2025-12-04T08:33:40.1201097Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor.py::Tensor.refine_names:0, line 1374 <- wrt source file 2025-12-04T08:33:40.1391359Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor.py::Tensor.refine_names:0 2025-12-04T08:33:40.1396812Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor.py::Tensor.align_to:0, line 1419 <- wrt source file 2025-12-04T08:33:40.1423829Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor.py::Tensor.align_to:0 2025-12-04T08:33:40.1425878Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor.py::Tensor.rename:0, line 1492 <- wrt source file 2025-12-04T08:33:40.1490414Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor.py::Tensor.rename:0 2025-12-04T08:33:40.1492603Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0, line 1522 <- wrt source file 2025-12-04T08:33:40.1952578Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0 2025-12-04T08:33:40.1954866Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor.py::Tensor.dim_order:0, line 1554 <- wrt source file 2025-12-04T08:33:40.1973674Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor.py::Tensor.dim_order:0 2025-12-04T08:33:40.1975929Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor_str.py::set_printoptions:0, line 53 <- wrt source file 2025-12-04T08:33:40.2024193Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor_str.py::set_printoptions:0 2025-12-04T08:33:40.2026527Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::broadcast_tensors:0, line 64 <- wrt source file 2025-12-04T08:33:40.2061456Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::broadcast_tensors:0 2025-12-04T08:33:40.2063736Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::broadcast_shapes:0, line 92 <- wrt source file 2025-12-04T08:33:40.2066315Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::broadcast_shapes:0 2025-12-04T08:33:40.2068499Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::split:0, line 144 <- wrt source file 2025-12-04T08:33:40.2092750Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::split:0 2025-12-04T08:33:40.2094853Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::einsum:0, line 258 <- wrt source file 2025-12-04T08:33:40.2202776Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::einsum:0 2025-12-04T08:33:40.2204889Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::meshgrid:0, line 450 <- wrt source file 2025-12-04T08:33:40.2295507Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::meshgrid:0 2025-12-04T08:33:40.2297861Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::_unique_impl:0, line 835 <- wrt source file 2025-12-04T08:33:40.2446888Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::_unique_impl:0 2025-12-04T08:33:40.2449230Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::_unique_consecutive_impl:0, line 992 <- wrt source file 2025-12-04T08:33:40.2466278Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::_unique_consecutive_impl:0 2025-12-04T08:33:40.2468585Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::tensordot:0, line 1267 <- wrt source file 2025-12-04T08:33:40.2547491Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::tensordot:0 2025-12-04T08:33:40.2549775Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::cartesian_prod:0, line 1351 <- wrt source file 2025-12-04T08:33:40.2554766Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::cartesian_prod:0 2025-12-04T08:33:40.2557005Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::block_diag:0, line 1385 <- wrt source file 2025-12-04T08:33:40.2584186Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::block_diag:0 2025-12-04T08:33:40.2586608Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::cdist:0, line 1441 <- wrt source file 2025-12-04T08:33:40.2618899Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::cdist:0 2025-12-04T08:33:40.2621060Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::atleast_1d:0, line 1482 <- wrt source file 2025-12-04T08:33:40.2663542Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::atleast_1d:0 2025-12-04T08:33:40.2665727Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::atleast_2d:0, line 1520 <- wrt source file 2025-12-04T08:33:40.2713738Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::atleast_2d:0 2025-12-04T08:33:40.2715935Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::atleast_3d:0, line 1560 <- wrt source file 2025-12-04T08:33:40.2744440Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::atleast_3d:0 2025-12-04T08:33:40.2746555Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::norm:0, line 1735 <- wrt source file 2025-12-04T08:33:40.2812530Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::norm:0 2025-12-04T08:33:40.2814713Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::unravel_index:0, line 1905 <- wrt source file 2025-12-04T08:33:40.2873510Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::unravel_index:0 2025-12-04T08:33:40.2875744Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::chain_matmul:0, line 2005 <- wrt source file 2025-12-04T08:33:40.2878081Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::chain_matmul:0 2025-12-04T08:33:40.2880224Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::_lu_impl:0, line 2106 <- wrt source file 2025-12-04T08:33:40.2882542Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::_lu_impl:0 2025-12-04T08:33:40.2884538Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/hub.py::list:0, line 477 <- wrt source file 2025-12-04T08:33:40.2886477Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/hub.py::list:0 2025-12-04T08:33:40.2888363Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/hub.py::help:0, line 537 <- wrt source file 2025-12-04T08:33:40.2890307Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/hub.py::help:0 2025-12-04T08:33:40.2892211Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/hub.py::load:0, line 628 <- wrt source file 2025-12-04T08:33:40.2894142Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/hub.py::load:0 2025-12-04T08:33:40.2896102Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/hub.py::_load_local:0, line 676 <- wrt source file 2025-12-04T08:33:40.2898147Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/hub.py::_load_local:0 2025-12-04T08:33:40.2900249Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/hub.py::download_url_to_file:0, line 711 <- wrt source file 2025-12-04T08:33:40.2902451Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/hub.py::download_url_to_file:0 2025-12-04T08:33:40.2904785Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/hub.py::load_state_dict_from_url:0, line 852 <- wrt source file 2025-12-04T08:33:40.2907073Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/hub.py::load_state_dict_from_url:0 2025-12-04T08:33:40.2909294Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::Library.define:0, line 145 <- wrt source file 2025-12-04T08:33:40.2911520Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::Library.define:0 2025-12-04T08:33:40.2913854Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::Library._impl_with_aoti_compile:0, line 239 <- wrt source file 2025-12-04T08:33:40.2979505Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::Library._impl_with_aoti_compile:0 2025-12-04T08:33:40.2981832Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::Library.impl:0, line 300 <- wrt source file 2025-12-04T08:33:40.2990410Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::Library.impl:0 2025-12-04T08:33:40.2992497Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::define:0, line 521 <- wrt source file 2025-12-04T08:33:40.3198462Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::define:0 2025-12-04T08:33:40.3200465Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::impl:0, line 627 <- wrt source file 2025-12-04T08:33:40.3299609Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::impl:0 2025-12-04T08:33:40.3301709Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::register_kernel:0, line 809 <- wrt source file 2025-12-04T08:33:40.3303965Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::register_kernel:0 2025-12-04T08:33:40.3306169Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::register_autocast:0, line 877 <- wrt source file 2025-12-04T08:33:40.3308451Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::register_autocast:0 2025-12-04T08:33:40.3310851Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::register_autograd:0, line 1164 <- wrt source file 2025-12-04T08:33:40.3612020Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::register_autograd:0 2025-12-04T08:33:40.3614327Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::register_torch_dispatch:0, line 1280 <- wrt source file 2025-12-04T08:33:40.3720613Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::register_torch_dispatch:0 2025-12-04T08:33:40.3722871Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::register_vmap:0, line 1369 <- wrt source file 2025-12-04T08:33:40.4227942Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::register_vmap:0 2025-12-04T08:33:40.4229089Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::opcheck:0, line 1694 <- wrt source file 2025-12-04T08:33:40.4230192Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::opcheck:0 2025-12-04T08:33:40.4231346Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/overrides.py::get_ignored_functions:0, line 117 <- wrt source file 2025-12-04T08:33:40.4235878Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/overrides.py::get_ignored_functions:0 2025-12-04T08:33:40.4237359Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/overrides.py::get_testing_overrides:0, line 435 <- wrt source file 2025-12-04T08:33:40.4362599Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/overrides.py::get_testing_overrides:0 2025-12-04T08:33:40.4363828Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/overrides.py::wrap_torch_function:0, line 1589 <- wrt source file 2025-12-04T08:33:40.4366358Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/overrides.py::wrap_torch_function:0 2025-12-04T08:33:40.4367577Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/overrides.py::handle_torch_function:0, line 1725 <- wrt source file 2025-12-04T08:33:40.4370253Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/overrides.py::handle_torch_function:0 2025-12-04T08:33:40.4371508Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/overrides.py::is_tensor_method_or_property:0, line 1974 <- wrt source file 2025-12-04T08:33:40.4396530Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/overrides.py::is_tensor_method_or_property:0 2025-12-04T08:33:40.4397910Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/overrides.py::is_tensor_like:0, line 1993 <- wrt source file 2025-12-04T08:33:40.4405430Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/overrides.py::is_tensor_like:0 2025-12-04T08:33:40.4406571Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/quasirandom.py::SobolEngine:0, line 39 <- wrt source file 2025-12-04T08:33:40.4407746Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/quasirandom.py::SobolEngine:0 2025-12-04T08:33:40.4408927Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/serialization.py::add_safe_globals:0, line 300 <- wrt source file 2025-12-04T08:33:40.4410165Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/serialization.py::add_safe_globals:0 2025-12-04T08:33:40.4411356Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/serialization.py::safe_globals:0, line 325 <- wrt source file 2025-12-04T08:33:40.4412620Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/serialization.py::safe_globals:0 2025-12-04T08:33:40.4413777Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/serialization.py::skip_data:0, line 401 <- wrt source file 2025-12-04T08:33:40.4414944Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/serialization.py::skip_data:0 2025-12-04T08:33:40.4416137Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/serialization.py::register_package:0, line 473 <- wrt source file 2025-12-04T08:33:40.4417369Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/serialization.py::register_package:0 2025-12-04T08:33:40.4418518Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/serialization.py::save:0, line 960 <- wrt source file 2025-12-04T08:33:40.4419639Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/serialization.py::save:0 2025-12-04T08:33:40.4420742Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/serialization.py::load:0, line 1379 <- wrt source file 2025-12-04T08:33:40.4422057Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/serialization.py::load:0 2025-12-04T08:33:40.4423427Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/torch_version.py::TorchVersion:0, line 19 <- wrt source file 2025-12-04T08:33:40.4424768Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/torch_version.py::TorchVersion:0 2025-12-04T08:33:40.4426041Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/__init__.py::list_mode_options:0, line 349 <- wrt source file 2025-12-04T08:33:40.4427406Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/__init__.py::list_mode_options:0 2025-12-04T08:33:40.4428611Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/__init__.py::list_options:0, line 388 <- wrt source file 2025-12-04T08:33:40.4440353Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/__init__.py::list_options:0 2025-12-04T08:33:40.4441679Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_prims_common/__init__.py::compute_required_storage_length:0, line 1911 <- wrt source file 2025-12-04T08:33:40.4446323Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_prims_common/__init__.py::compute_required_storage_length:0 2025-12-04T08:33:40.4447682Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/accelerator/__init__.py::current_accelerator:0, line 117 <- wrt source file 2025-12-04T08:33:40.4464578Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/accelerator/__init__.py::current_accelerator:0 2025-12-04T08:33:40.4466041Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/accelerator/__init__.py::get_device_capability:0, line 171 <- wrt source file 2025-12-04T08:33:40.4467464Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/accelerator/__init__.py::get_device_capability:0 2025-12-04T08:33:40.4468742Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/accelerator/__init__.py::device_index:0, line 276 <- wrt source file 2025-12-04T08:33:40.4469986Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/accelerator/__init__.py::device_index:0 2025-12-04T08:33:40.4471186Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::allow_in_graph:0, line 130 <- wrt source file 2025-12-04T08:33:40.4472472Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::allow_in_graph:0 2025-12-04T08:33:40.4473889Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::substitute_in_graph:0, line 186 <- wrt source file 2025-12-04T08:33:40.8313266Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::substitute_in_graph:0 2025-12-04T08:33:40.8314546Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::wrap_numpy:0, line 416 <- wrt source file 2025-12-04T08:33:40.8315769Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::wrap_numpy:0 2025-12-04T08:33:40.8317324Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::is_compiling:0, line 448 <- wrt source file 2025-12-04T08:33:40.8318741Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::is_compiling:0 2025-12-04T08:33:40.8319971Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0, line 469 <- wrt source file 2025-12-04T08:33:40.8321721Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0 2025-12-04T08:33:40.8323207Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::is_exporting:0, line 487 <- wrt source file 2025-12-04T08:33:40.8325126Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::is_exporting:0 2025-12-04T08:33:40.8327430Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0, line 502 <- wrt source file 2025-12-04T08:33:40.8329723Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0 2025-12-04T08:33:40.8331553Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0, line 522 <- wrt source file 2025-12-04T08:33:40.8333623Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0 2025-12-04T08:33:40.8335742Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/__init__.py::_compile_kernel:0, line 1788 <- wrt source file 2025-12-04T08:33:40.8337954Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/__init__.py::_compile_kernel:0 2025-12-04T08:33:40.8339109Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/export/__init__.py::save:0, line 349 <- wrt source file 2025-12-04T08:33:40.8341163Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/export/__init__.py::save:0 2025-12-04T08:33:40.8342250Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/export/__init__.py::load:0, line 422 <- wrt source file 2025-12-04T08:33:40.8343355Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/export/__init__.py::load:0 2025-12-04T08:33:40.8344506Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/export/__init__.py::register_dataclass:0, line 581 <- wrt source file 2025-12-04T08:33:40.8345763Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/export/__init__.py::register_dataclass:0 2025-12-04T08:33:40.8346956Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/futures/__init__.py::Future.then:0, line 152 <- wrt source file 2025-12-04T08:33:40.8348223Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/futures/__init__.py::Future.then:0 2025-12-04T08:33:40.8349448Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/futures/__init__.py::Future.add_done_callback:0, line 201 <- wrt source file 2025-12-04T08:33:40.8350762Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/futures/__init__.py::Future.add_done_callback:0 2025-12-04T08:33:40.8352023Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/futures/__init__.py::Future.set_result:0, line 235 <- wrt source file 2025-12-04T08:33:40.8353266Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/futures/__init__.py::Future.set_result:0 2025-12-04T08:33:40.8354500Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/futures/__init__.py::Future.set_exception:0, line 265 <- wrt source file 2025-12-04T08:33:40.8355775Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/futures/__init__.py::Future.set_exception:0 2025-12-04T08:33:40.8356982Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/futures/__init__.py::collect_all:0, line 299 <- wrt source file 2025-12-04T08:33:40.8358797Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/futures/__init__.py::collect_all:0 2025-12-04T08:33:40.8360070Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/jit/__init__.py::annotate:0, line 147 <- wrt source file 2025-12-04T08:33:40.8361287Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/jit/__init__.py::annotate:0 2025-12-04T08:33:40.8362512Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0, line 22 <- wrt source file 2025-12-04T08:33:40.8363857Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0 2025-12-04T08:33:40.8365088Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/mps/__init__.py::compile_shader:0, line 148 <- wrt source file 2025-12-04T08:33:40.8366259Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/mps/__init__.py::compile_shader:0 2025-12-04T08:33:40.8367454Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nested/__init__.py::as_nested_tensor:0, line 61 <- wrt source file 2025-12-04T08:33:40.8495082Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nested/__init__.py::as_nested_tensor:0 2025-12-04T08:33:40.8519336Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nested/__init__.py::nested_tensor:0, line 240 <- wrt source file 2025-12-04T08:33:40.8526345Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nested/__init__.py::nested_tensor:0 2025-12-04T08:33:40.8528582Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nested/__init__.py::narrow:0, line 315 <- wrt source file 2025-12-04T08:33:40.9224780Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nested/__init__.py::narrow:0 2025-12-04T08:33:40.9227167Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0, line 405 <- wrt source file 2025-12-04T08:33:40.9234415Z W1204 08:33:40.922000 1424 site-packages/torch/fx/_symbolic_trace.py:53] is_fx_tracing will return true for both fx.symbolic_trace and torch.export. Please use is_fx_tracing_symbolic_tracing() for specifically fx.symbolic_trace or torch.compiler.is_compiling() for specifically torch.export/compile. 2025-12-04T08:33:40.9299650Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0 2025-12-04T08:33:40.9302284Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nested/__init__.py::masked_select:0, line 481 <- wrt source file 2025-12-04T08:33:40.9361874Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nested/__init__.py::masked_select:0 2025-12-04T08:33:40.9364063Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/sparse/__init__.py::sum:0, line 223 <- wrt source file 2025-12-04T08:33:40.9473111Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/sparse/__init__.py::sum:0 2025-12-04T08:33:40.9475484Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0, line 475 <- wrt source file 2025-12-04T08:33:40.9547734Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0 2025-12-04T08:33:40.9550251Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0, line 561 <- wrt source file 2025-12-04T08:33:40.9865020Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0 2025-12-04T08:33:40.9867499Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0, line 361 <- wrt source file 2025-12-04T08:33:40.9870295Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0 2025-12-04T08:33:40.9873103Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0, line 328 <- wrt source file 2025-12-04T08:33:40.9875937Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0 2025-12-04T08:33:40.9879061Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/variables/higher_order_ops.py::speculate_subgraph_with_auto_output_flattening:0, line 1316 <- wrt source file 2025-12-04T08:33:40.9882437Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/variables/higher_order_ops.py::speculate_subgraph_with_auto_output_flattening:0 2025-12-04T08:33:40.9885408Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0, line 1441 <- wrt source file 2025-12-04T08:33:40.9888129Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0 2025-12-04T08:33:40.9890993Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_export/wrappers.py::mark_subclass_constructor_exportable_experimental:0, line 194 <- wrt source file 2025-12-04T08:33:40.9894155Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_export/wrappers.py::mark_subclass_constructor_exportable_experimental:0 2025-12-04T08:33:40.9896917Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_export/wrappers.py::allow_in_pre_dispatch_graph:0, line 262 <- wrt source file 2025-12-04T08:33:40.9899538Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_export/wrappers.py::allow_in_pre_dispatch_graph:0 2025-12-04T08:33:40.9902043Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/aot_autograd.py::aot_function:0, line 771 <- wrt source file 2025-12-04T08:33:41.0779517Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/aot_autograd.py::aot_function:0 2025-12-04T08:33:41.0782245Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0, line 184 <- wrt source file 2025-12-04T08:33:41.0784998Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0 2025-12-04T08:33:41.0787491Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/eager_transforms.py::vjp:0, line 234 <- wrt source file 2025-12-04T08:33:41.0878218Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/eager_transforms.py::vjp:0 2025-12-04T08:33:41.0880608Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/eager_transforms.py::jacrev:0, line 476 <- wrt source file 2025-12-04T08:33:41.1075012Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/eager_transforms.py::jacrev:0 2025-12-04T08:33:41.1077414Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/eager_transforms.py::jvp:0, line 1024 <- wrt source file 2025-12-04T08:33:41.3363764Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/eager_transforms.py::jvp:0 2025-12-04T08:33:41.3365063Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0, line 1182 <- wrt source file 2025-12-04T08:33:41.3452269Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0 2025-12-04T08:33:41.3453559Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/eager_transforms.py::hessian:0, line 1342 <- wrt source file 2025-12-04T08:33:41.3473063Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/eager_transforms.py::hessian:0 2025-12-04T08:33:41.3474393Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/eager_transforms.py::functionalize:0, line 1506 <- wrt source file 2025-12-04T08:33:41.3478284Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/eager_transforms.py::functionalize:0 2025-12-04T08:33:41.3479583Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/eager_transforms.py::linearize:0, line 1705 <- wrt source file 2025-12-04T08:33:41.3741225Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/eager_transforms.py::linearize:0 2025-12-04T08:33:41.3742528Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/functional_call.py::functional_call:0, line 36 <- wrt source file 2025-12-04T08:33:41.3745898Z * SUCCESS: 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2025-12-04T08:33:41.3754585Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/_aot_autograd/schemas.py::InductorWrapper.post_compile:0 2025-12-04T08:33:41.3756039Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0, line 183 <- wrt source file 2025-12-04T08:33:41.3757457Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0 2025-12-04T08:33:41.3758975Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0, line 319 <- wrt source file 2025-12-04T08:33:41.3761004Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0 2025-12-04T08:33:41.3762514Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_higher_order_ops/cond.py::cond:0, line 139 <- wrt source file 2025-12-04T08:33:41.3763999Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_higher_order_ops/cond.py::cond:0 2025-12-04T08:33:41.3765524Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_higher_order_ops/flat_apply.py::FlatApply.__call__:0, line 80 <- wrt source file 2025-12-04T08:33:41.3767029Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_higher_order_ops/flat_apply.py::FlatApply.__call__:0 2025-12-04T08:33:41.3768407Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_higher_order_ops/map.py::map:0, line 80 <- wrt source file 2025-12-04T08:33:41.3769579Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_higher_order_ops/map.py::map:0 2025-12-04T08:33:41.3770951Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_higher_order_ops/partitioner.py::HopPartitionedGraph._reorder_fw_output:0, line 133 <- wrt source file 2025-12-04T08:33:41.3772708Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_higher_order_ops/partitioner.py::HopPartitionedGraph._reorder_fw_output:0 2025-12-04T08:33:41.3774056Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_higher_order_ops/scan.py::scan:0, line 130 <- wrt source file 2025-12-04T08:33:41.3775221Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_higher_order_ops/scan.py::scan:0 2025-12-04T08:33:41.3776459Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/codecache.py::WritableTempFile:0, line 385 <- wrt source file 2025-12-04T08:33:41.3777763Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/codecache.py::WritableTempFile:0 2025-12-04T08:33:41.3779193Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/cpp_builder.py::get_name_and_dir_from_output_file_path:0, line 1845 <- wrt source file 2025-12-04T08:33:41.3780673Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/cpp_builder.py::get_name_and_dir_from_output_file_path:0 2025-12-04T08:33:41.3782086Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/select_algorithm.py::add_preprocessing_fn:0, line 4328 <- wrt source file 2025-12-04T08:33:41.3783488Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/select_algorithm.py::add_preprocessing_fn:0 2025-12-04T08:33:41.3784838Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/fx_passes/graph_view.py::_clean_stack_name:0, line 100 <- wrt source file 2025-12-04T08:33:41.3786214Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/fx_passes/graph_view.py::_clean_stack_name:0 2025-12-04T08:33:41.3787588Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/kernel/custom_op.py::CustomOpConfig:0, line 56 <- wrt source file 2025-12-04T08:33:41.3788916Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/kernel/custom_op.py::CustomOpConfig:0 2025-12-04T08:33:41.3790293Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/kernel/custom_op.py::register_custom_op_autotuning:0, line 423 <- wrt source file 2025-12-04T08:33:41.3791770Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/kernel/custom_op.py::register_custom_op_autotuning:0 2025-12-04T08:33:41.3793231Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_lock_with_timeout:0, line 69 <- wrt source file 2025-12-04T08:33:41.3794721Z * SKIPPED: 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/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_flock_with_timeout:0, line 179 <- wrt source file 2025-12-04T08:33:41.3804015Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_flock_with_timeout:0 2025-12-04T08:33:41.3805580Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/template_heuristics/registry.py::register_template_heuristic:0, line 54 <- wrt source file 2025-12-04T08:33:41.3807188Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/template_heuristics/registry.py::register_template_heuristic:0 2025-12-04T08:33:41.3808528Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/custom_ops.py::custom_op:0, line 101 <- wrt source file 2025-12-04T08:33:41.4131601Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/custom_ops.py::custom_op:0 2025-12-04T08:33:41.4133417Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0, line 241 <- wrt source file 2025-12-04T08:33:41.4212540Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0 2025-12-04T08:33:41.4213941Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0, line 310 <- wrt source file 2025-12-04T08:33:41.4215365Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0 2025-12-04T08:33:41.4216730Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0, line 549 <- wrt source file 2025-12-04T08:33:41.4383349Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0 2025-12-04T08:33:41.4384725Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0, line 724 <- wrt source file 2025-12-04T08:33:41.4549971Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0 2025-12-04T08:33:41.4551637Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0, line 810 <- wrt source file 2025-12-04T08:33:41.4553073Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0 2025-12-04T08:33:41.4554452Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0, line 273 <- wrt source file 2025-12-04T08:33:41.4555849Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0 2025-12-04T08:33:41.4557210Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0, line 175 <- wrt source file 2025-12-04T08:33:41.4628824Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0 2025-12-04T08:33:41.4630307Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/infer_schema.py::infer_schema:0, line 53 <- wrt source file 2025-12-04T08:33:41.4635833Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/infer_schema.py::infer_schema:0 2025-12-04T08:33:41.4637160Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/triton.py::triton_op:0, line 136 <- wrt source file 2025-12-04T08:33:41.4638517Z * SKIPPED: 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2025-12-04T08:33:41.4753301Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::print_assert_equal:0, line 302 <- wrt source file 2025-12-04T08:33:41.4754605Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::print_assert_equal:0 2025-12-04T08:33:41.4755901Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_almost_equal:0, line 375 <- wrt source file 2025-12-04T08:33:41.4887497Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_almost_equal:0 2025-12-04T08:33:41.4888774Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_approx_equal:0, line 496 <- wrt source file 2025-12-04T08:33:41.4890831Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_approx_equal:0 2025-12-04T08:33:41.4892117Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_array_equal:0, line 793 <- wrt source file 2025-12-04T08:33:41.4986796Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_array_equal:0 2025-12-04T08:33:41.4988110Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal:0, line 899 <- wrt source file 2025-12-04T08:33:41.5041633Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal:0 2025-12-04T08:33:41.5042944Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0, line 1008 <- wrt source file 2025-12-04T08:33:41.5091025Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0 2025-12-04T08:33:41.5092316Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0, line 1073 <- wrt source file 2025-12-04T08:33:41.5093627Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0 2025-12-04T08:33:41.5095051Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0, line 1294 <- wrt source file 2025-12-04T08:33:41.5144983Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0 2025-12-04T08:33:41.5146339Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0, line 1360 <- wrt source file 2025-12-04T08:33:41.5149753Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0 2025-12-04T08:33:41.5151102Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0, line 1423 <- wrt source file 2025-12-04T08:33:41.5189787Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0 2025-12-04T08:33:41.5191055Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0, line 1468 <- wrt source file 2025-12-04T08:33:41.5192275Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0 2025-12-04T08:33:41.5193603Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_warns:0, line 1578 <- wrt source file 2025-12-04T08:33:41.5196847Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_warns:0 2025-12-04T08:33:41.5198279Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::clear_and_catch_warnings:0, line 1881 <- wrt source file 2025-12-04T08:33:41.5199998Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::clear_and_catch_warnings:0 2025-12-04T08:33:41.5201569Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_prims/context.py::TorchRefsMode:0, line 95 <- wrt source file 2025-12-04T08:33:41.5202936Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_prims/context.py::TorchRefsMode:0 2025-12-04T08:33:41.5204476Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_subclasses/complex_tensor/_ops/common.py::is_complex_tensor:0, line 47 <- wrt source file 2025-12-04T08:33:41.5206028Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_subclasses/complex_tensor/_ops/common.py::is_complex_tensor:0 2025-12-04T08:33:41.5207325Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/amp/grad_scaler.py::GradScaler:0, line 64 <- wrt source file 2025-12-04T08:33:41.5208515Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/amp/grad_scaler.py::GradScaler:0 2025-12-04T08:33:41.5209824Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0, line 34 <- wrt source file 2025-12-04T08:33:41.5211304Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0 2025-12-04T08:33:41.5212858Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0, line 24 <- wrt source file 2025-12-04T08:33:41.5214525Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0 2025-12-04T08:33:41.5216207Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0, line 25 <- wrt source file 2025-12-04T08:33:41.5217751Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0 2025-12-04T08:33:41.5219304Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0, line 67 <- wrt source file 2025-12-04T08:33:41.5220921Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0 2025-12-04T08:33:41.5222475Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0, line 142 <- wrt source file 2025-12-04T08:33:41.5224036Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0 2025-12-04T08:33:41.5225440Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0, line 29 <- wrt source file 2025-12-04T08:33:41.5304464Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0 2025-12-04T08:33:41.5305846Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0, line 413 <- wrt source file 2025-12-04T08:33:41.5343787Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0 2025-12-04T08:33:41.5345703Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0, line 210 <- wrt source file 2025-12-04T08:33:41.5347141Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0 2025-12-04T08:33:41.5348416Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0, line 282 <- wrt source file 2025-12-04T08:33:41.5349710Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0 2025-12-04T08:33:41.5351044Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0, line 358 <- wrt source file 2025-12-04T08:33:41.5352310Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0 2025-12-04T08:33:41.5353743Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0, line 95 <- wrt source file 2025-12-04T08:33:41.5355091Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0 2025-12-04T08:33:41.5356431Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0, line 145 <- wrt source file 2025-12-04T08:33:41.5359014Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0 2025-12-04T08:33:41.5360516Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0, line 43 <- wrt source file 2025-12-04T08:33:41.5362204Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0 2025-12-04T08:33:41.5363677Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0, line 126 <- wrt source file 2025-12-04T08:33:41.5365432Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0 2025-12-04T08:33:41.5367015Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0, line 212 <- wrt source file 2025-12-04T08:33:41.5368429Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0 2025-12-04T08:33:41.5369875Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0, line 300 <- wrt source file 2025-12-04T08:33:41.5371531Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0 2025-12-04T08:33:41.5373316Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0, line 383 <- wrt source file 2025-12-04T08:33:41.5374921Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0 2025-12-04T08:33:41.5376558Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0, line 466 <- wrt source file 2025-12-04T08:33:41.5378146Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0 2025-12-04T08:33:41.5379585Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0, line 30 <- wrt source file 2025-12-04T08:33:41.5381022Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0 2025-12-04T08:33:41.5382378Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0, line 516 <- wrt source file 2025-12-04T08:33:41.5383749Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0 2025-12-04T08:33:41.5385085Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0, line 803 <- wrt source file 2025-12-04T08:33:41.5386500Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0 2025-12-04T08:33:41.5387841Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0, line 1209 <- wrt source file 2025-12-04T08:33:41.5389244Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0 2025-12-04T08:33:41.5390637Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0, line 1276 <- wrt source file 2025-12-04T08:33:41.5392054Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0 2025-12-04T08:33:41.5393437Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0, line 1329 <- wrt source file 2025-12-04T08:33:41.5394829Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0 2025-12-04T08:33:41.5396180Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0, line 36 <- wrt source file 2025-12-04T08:33:41.5397556Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0 2025-12-04T08:33:41.5399012Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv1d:0, line 376 <- wrt source file 2025-12-04T08:33:41.5400310Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv1d:0 2025-12-04T08:33:41.5401591Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0, line 506 <- wrt source file 2025-12-04T08:33:41.5402888Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0 2025-12-04T08:33:41.5404160Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0, line 636 <- wrt source file 2025-12-04T08:33:41.5405449Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0 2025-12-04T08:33:41.5406787Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0, line 893 <- wrt source file 2025-12-04T08:33:41.5408203Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0 2025-12-04T08:33:41.5409623Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0, line 1015 <- wrt source file 2025-12-04T08:33:41.5411044Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0 2025-12-04T08:33:41.5412434Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0, line 1141 <- wrt source file 2025-12-04T08:33:41.5413847Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0 2025-12-04T08:33:41.5415231Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0, line 111 <- wrt source file 2025-12-04T08:33:41.5593894Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0 2025-12-04T08:33:41.5596890Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0, line 275 <- wrt source file 2025-12-04T08:33:41.5619541Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0 2025-12-04T08:33:41.5622471Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0, line 23 <- wrt source file 2025-12-04T08:33:41.5625569Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0 2025-12-04T08:33:41.5628543Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0, line 176 <- wrt source file 2025-12-04T08:33:41.5631557Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0 2025-12-04T08:33:41.5634286Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0, line 135 <- wrt source file 2025-12-04T08:33:41.5636887Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0 2025-12-04T08:33:41.5639391Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/rnn.py::LSTM:0, line 24 <- wrt source file 2025-12-04T08:33:41.5642000Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/rnn.py::LSTM:0 2025-12-04T08:33:41.5645094Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py::BaseDataScheduler.get_schedule_param:0, line 98 <- wrt source file 2025-12-04T08:33:41.5778424Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py::BaseDataScheduler.get_schedule_param:0 2025-12-04T08:33:41.5781790Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0, line 55 <- wrt source file 2025-12-04T08:33:41.5785099Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0 2025-12-04T08:33:41.5788026Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0, line 24 <- wrt source file 2025-12-04T08:33:41.5790659Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0 2025-12-04T08:33:41.5793497Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0, line 47 <- wrt source file 2025-12-04T08:33:41.5796298Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0 2025-12-04T08:33:41.5799207Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier.squash_mask:0, line 251 <- wrt source file 2025-12-04T08:33:41.5802256Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier.squash_mask:0 2025-12-04T08:33:41.5805013Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0, line 175 <- wrt source file 2025-12-04T08:33:41.5807616Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0 2025-12-04T08:33:41.5810149Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0, line 32 <- wrt source file 2025-12-04T08:33:41.5812813Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0 2025-12-04T08:33:41.5815505Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0, line 83 <- wrt source file 2025-12-04T08:33:41.5818291Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0 2025-12-04T08:33:41.5820993Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0, line 143 <- wrt source file 2025-12-04T08:33:41.5823751Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0 2025-12-04T08:33:41.5826510Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0, line 182 <- wrt source file 2025-12-04T08:33:41.5829372Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0 2025-12-04T08:33:41.5832056Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/observer.py::_with_args:0, line 110 <- wrt source file 2025-12-04T08:33:41.5834447Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/observer.py::_with_args:0 2025-12-04T08:33:41.5836891Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0, line 132 <- wrt source file 2025-12-04T08:33:41.5839531Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0 2025-12-04T08:33:41.5841958Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0, line 218 <- wrt source file 2025-12-04T08:33:41.5844377Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0 2025-12-04T08:33:41.5846745Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0, line 288 <- wrt source file 2025-12-04T08:33:41.5849200Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0 2025-12-04T08:33:41.5851759Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0, line 427 <- wrt source file 2025-12-04T08:33:41.5854295Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0 2025-12-04T08:33:41.5856741Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0, line 608 <- wrt source file 2025-12-04T08:33:41.5859191Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0 2025-12-04T08:33:41.5861738Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0, line 668 <- wrt source file 2025-12-04T08:33:41.5864452Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0 2025-12-04T08:33:41.5867268Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0, line 720 <- wrt source file 2025-12-04T08:33:41.5870202Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0 2025-12-04T08:33:41.5873063Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0, line 51 <- wrt source file 2025-12-04T08:33:41.5875646Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0 2025-12-04T08:33:41.5878232Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0, line 130 <- wrt source file 2025-12-04T08:33:41.5880855Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0 2025-12-04T08:33:41.5883376Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0, line 228 <- wrt source file 2025-12-04T08:33:41.5885892Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0 2025-12-04T08:33:41.5888454Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0, line 171 <- wrt source file 2025-12-04T08:33:41.5890907Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0 2025-12-04T08:33:41.5893313Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0, line 553 <- wrt source file 2025-12-04T08:33:41.5895767Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0 2025-12-04T08:33:41.5898207Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0, line 575 <- wrt source file 2025-12-04T08:33:41.5900720Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0 2025-12-04T08:33:41.5903167Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0, line 589 <- wrt source file 2025-12-04T08:33:41.5905628Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0 2025-12-04T08:33:41.5908076Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0, line 611 <- wrt source file 2025-12-04T08:33:41.5910588Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0 2025-12-04T08:33:41.5912960Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0, line 738 <- wrt source file 2025-12-04T08:33:41.5915370Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0 2025-12-04T08:33:41.5918031Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/backend_config/backend_config.py::DTypeConfig:0, line 216 <- wrt source file 2025-12-04T08:33:41.5920896Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/backend_config/backend_config.py::DTypeConfig:0 2025-12-04T08:33:41.5923775Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/backend_config/onednn.py::_fuse_linear_bn_leaky_relu:0, line 85 <- wrt source file 2025-12-04T08:33:41.5926716Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/backend_config/onednn.py::_fuse_linear_bn_leaky_relu:0 2025-12-04T08:33:41.5929509Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fx/_model_report/model_report.py::ModelReport:0, line 85 <- wrt source file 2025-12-04T08:33:41.5932320Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fx/_model_report/model_report.py::ModelReport:0 2025-12-04T08:33:41.5935535Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_filtered_tables:0, line 341 <- wrt source file 2025-12-04T08:33:41.5939241Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_filtered_tables:0 2025-12-04T08:33:41.5942921Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_table_visualization:0, line 429 <- wrt source file 2025-12-04T08:33:41.5946757Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_table_visualization:0 2025-12-04T08:33:41.5950436Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_plot_visualization:0, line 591 <- wrt source file 2025-12-04T08:33:41.5954187Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_plot_visualization:0 2025-12-04T08:33:41.5957972Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_histogram_visualization:0, line 664 <- wrt source file 2025-12-04T08:33:41.5961849Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_histogram_visualization:0 2025-12-04T08:33:41.5965136Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_get_reduction_params:0, line 104 <- wrt source file 2025-12-04T08:33:41.5968065Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_get_reduction_params:0 2025-12-04T08:33:41.5970944Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_register_custom_op:0, line 155 <- wrt source file 2025-12-04T08:33:41.5974038Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_register_custom_op:0 2025-12-04T08:33:41.5976830Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/pt2e/prepare.py::_get_edge_or_node_to_group_id:0, line 189 <- wrt source file 2025-12-04T08:33:41.5979706Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/pt2e/prepare.py::_get_edge_or_node_to_group_id:0 2025-12-04T08:33:41.5982618Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0, line 442 <- wrt source file 2025-12-04T08:33:41.5985689Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0 2025-12-04T08:33:41.5988291Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/anomaly_mode.py::detect_anomaly:0, line 28 <- wrt source file 2025-12-04T08:33:41.5990679Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/anomaly_mode.py::detect_anomaly:0 2025-12-04T08:33:41.5992957Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/forward_ad.py::make_dual:0, line 82 <- wrt source file 2025-12-04T08:33:41.5995166Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/forward_ad.py::make_dual:0 2025-12-04T08:33:41.5997374Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/forward_ad.py::unpack_dual:0, line 151 <- wrt source file 2025-12-04T08:33:41.5999710Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/forward_ad.py::unpack_dual:0 2025-12-04T08:33:41.6001927Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/forward_ad.py::dual_level:0, line 187 <- wrt source file 2025-12-04T08:33:41.6004169Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/forward_ad.py::dual_level:0 2025-12-04T08:33:41.6006657Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/function.py::FunctionCtx.save_for_backward:0, line 72 <- wrt source file 2025-12-04T08:33:41.6009267Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/function.py::FunctionCtx.save_for_backward:0 2025-12-04T08:33:41.6011830Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/function.py::FunctionCtx.save_for_forward:0, line 116 <- wrt source file 2025-12-04T08:33:41.6014418Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/function.py::FunctionCtx.save_for_forward:0 2025-12-04T08:33:41.6016906Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/function.py::FunctionCtx.mark_dirty:0, line 169 <- wrt source file 2025-12-04T08:33:41.6019384Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/function.py::FunctionCtx.mark_dirty:0 2025-12-04T08:33:41.6021961Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0, line 216 <- wrt source file 2025-12-04T08:33:41.6024698Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0 2025-12-04T08:33:41.6027414Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/function.py::FunctionCtx.set_materialize_grads:0, line 245 <- wrt source file 2025-12-04T08:33:41.6030102Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/function.py::FunctionCtx.set_materialize_grads:0 2025-12-04T08:33:41.6032491Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/function.py::Function:0, line 487 <- wrt source file 2025-12-04T08:33:41.6034679Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/function.py::Function:0 2025-12-04T08:33:41.6036815Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/functional.py::vjp:0, line 300 <- wrt source file 2025-12-04T08:33:41.6038986Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/functional.py::vjp:0 2025-12-04T08:33:41.6041092Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/functional.py::jvp:0, line 402 <- wrt source file 2025-12-04T08:33:41.6043301Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/functional.py::jvp:0 2025-12-04T08:33:41.6045455Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/functional.py::jacobian:0, line 642 <- wrt source file 2025-12-04T08:33:41.6047678Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/functional.py::jacobian:0 2025-12-04T08:33:41.6049888Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/functional.py::hessian:0, line 907 <- wrt source file 2025-12-04T08:33:41.6052108Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/functional.py::hessian:0 2025-12-04T08:33:41.6054262Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/functional.py::vhp:0, line 1026 <- wrt source file 2025-12-04T08:33:41.6056410Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/functional.py::vhp:0 2025-12-04T08:33:41.6058523Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/functional.py::hvp:0, line 1125 <- wrt source file 2025-12-04T08:33:41.6060670Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/functional.py::hvp:0 2025-12-04T08:33:41.6062823Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/grad_mode.py::no_grad:0, line 50 <- wrt source file 2025-12-04T08:33:41.6064958Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/grad_mode.py::no_grad:0 2025-12-04T08:33:41.6067122Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/grad_mode.py::enable_grad:0, line 108 <- wrt source file 2025-12-04T08:33:41.6069361Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/grad_mode.py::enable_grad:0 2025-12-04T08:33:41.6071594Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/grad_mode.py::set_grad_enabled:0, line 166 <- wrt source file 2025-12-04T08:33:41.6074044Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/grad_mode.py::set_grad_enabled:0 2025-12-04T08:33:41.6076339Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/grad_mode.py::inference_mode:0, line 252 <- wrt source file 2025-12-04T08:33:41.6078713Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/grad_mode.py::inference_mode:0 2025-12-04T08:33:41.6080889Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::Node.name:0, line 60 <- wrt source file 2025-12-04T08:33:41.6083118Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::Node.name:0 2025-12-04T08:33:41.6085302Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::Node.register_hook:0, line 117 <- wrt source file 2025-12-04T08:33:41.6087616Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::Node.register_hook:0 2025-12-04T08:33:41.6089947Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::Node.register_prehook:0, line 154 <- wrt source file 2025-12-04T08:33:41.6092308Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::Node.register_prehook:0 2025-12-04T08:33:41.6094620Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0, line 292 <- wrt source file 2025-12-04T08:33:41.6096989Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0 2025-12-04T08:33:41.6099201Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::save_on_cpu:0, line 362 <- wrt source file 2025-12-04T08:33:41.6101373Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::save_on_cpu:0 2025-12-04T08:33:41.6103658Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::disable_saved_tensors_hooks:0, line 419 <- wrt source file 2025-12-04T08:33:41.6106153Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::disable_saved_tensors_hooks:0 2025-12-04T08:33:41.6108569Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::register_multi_grad_hook:0, line 503 <- wrt source file 2025-12-04T08:33:41.6111051Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::register_multi_grad_hook:0 2025-12-04T08:33:41.6113509Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0, line 777 <- wrt source file 2025-12-04T08:33:41.6116068Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0 2025-12-04T08:33:41.6118525Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/profiler.py::profile:0, line 182 <- wrt source file 2025-12-04T08:33:41.6120718Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/profiler.py::profile:0 2025-12-04T08:33:41.6122932Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/profiler.py::record_function:0, line 760 <- wrt source file 2025-12-04T08:33:41.6125267Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/profiler.py::record_function:0 2025-12-04T08:33:41.6127459Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/profiler.py::emit_itt:0, line 899 <- wrt source file 2025-12-04T08:33:41.6129650Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/profiler.py::emit_itt:0 2025-12-04T08:33:41.6131784Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/profiler.py::emit_nvtx:0, line 972 <- wrt source file 2025-12-04T08:33:41.6133987Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/profiler.py::emit_nvtx:0 2025-12-04T08:33:41.6136185Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/profiler_util.py::EventList:0, line 60 <- wrt source file 2025-12-04T08:33:41.6138515Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/profiler_util.py::EventList:0 2025-12-04T08:33:41.6140691Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/gds.py::gds_register_buffer:0, line 43 <- wrt source file 2025-12-04T08:33:41.6142872Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/gds.py::gds_register_buffer:0 2025-12-04T08:33:41.6145039Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/gds.py::gds_deregister_buffer:0, line 59 <- wrt source file 2025-12-04T08:33:41.6147260Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/gds.py::gds_deregister_buffer:0 2025-12-04T08:33:41.6149318Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/gds.py::GdsFile:0, line 86 <- wrt source file 2025-12-04T08:33:41.6151332Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/gds.py::GdsFile:0 2025-12-04T08:33:41.6153404Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/jiterator.py::_create_jit_fn:0, line 114 <- wrt source file 2025-12-04T08:33:41.6155610Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/jiterator.py::_create_jit_fn:0 2025-12-04T08:33:41.6157842Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/jiterator.py::_create_jit_fn:1, line 125 <- wrt source file 2025-12-04T08:33:41.6160057Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/jiterator.py::_create_jit_fn:1 2025-12-04T08:33:41.6162214Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2, line 140 <- wrt source file 2025-12-04T08:33:41.6164410Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2 2025-12-04T08:33:41.6166716Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0, line 173 <- wrt source file 2025-12-04T08:33:41.6169180Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0 2025-12-04T08:33:41.6171406Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/profiler.py::profile:0, line 75 <- wrt source file 2025-12-04T08:33:41.6173752Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/profiler.py::profile:0 2025-12-04T08:33:41.6176084Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.composition:0, line 125 <- wrt source file 2025-12-04T08:33:41.6178709Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.composition:0 2025-12-04T08:33:41.6181295Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.complement:0, line 142 <- wrt source file 2025-12-04T08:33:41.6183912Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.complement:0 2025-12-04T08:33:41.6186509Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.remap_to_tensor:0, line 281 <- wrt source file 2025-12-04T08:33:41.6189188Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.remap_to_tensor:0 2025-12-04T08:33:41.6191662Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/device_mesh.py::DeviceMesh:0, line 167 <- wrt source file 2025-12-04T08:33:41.6194088Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/device_mesh.py::DeviceMesh:0 2025-12-04T08:33:41.6196557Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/device_mesh.py::DeviceMesh.get_local_rank:0, line 1027 <- wrt source file 2025-12-04T08:33:41.6199263Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/device_mesh.py::DeviceMesh.get_local_rank:0 2025-12-04T08:33:41.6201782Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/device_mesh.py::init_device_mesh:0, line 1317 <- wrt source file 2025-12-04T08:33:41.6204268Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/device_mesh.py::init_device_mesh:0 2025-12-04T08:33:41.6206784Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/distributed_c10d.py::_coalescing_manager:0, line 2652 <- wrt source file 2025-12-04T08:33:41.6209515Z * SKIPPED: 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/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/distributed_c10d.py::send_object_list:0 2025-12-04T08:33:41.6242693Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/distributed_c10d.py::recv_object_list:0, line 3574 <- wrt source file 2025-12-04T08:33:41.6245270Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/distributed_c10d.py::recv_object_list:0 2025-12-04T08:33:41.6247864Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/distributed_c10d.py::broadcast_object_list:0, line 3719 <- wrt source file 2025-12-04T08:33:41.6250545Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/distributed_c10d.py::broadcast_object_list:0 2025-12-04T08:33:41.6253215Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/distributed_c10d.py::scatter_object_list:0, line 3844 <- wrt source file 2025-12-04T08:33:41.6255867Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/distributed_c10d.py::scatter_object_list:0 2025-12-04T08:33:41.6258373Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/distributed_c10d.py::all_gather:0, line 3947 <- wrt source file 2025-12-04T08:33:41.6260846Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/distributed_c10d.py::all_gather:0 2025-12-04T08:33:41.6263363Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/distributed_c10d.py::all_gather_into_tensor:0, line 4054 <- wrt source file 2025-12-04T08:33:41.6266104Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/distributed_c10d.py::all_gather_into_tensor:0 2025-12-04T08:33:41.6268745Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/distributed_c10d.py::all_gather_coalesced:0, line 4192 <- wrt source file 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DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/format_utils.py::DynamicMetaLoadPlanner:0, line 173 <- wrt source file 2025-12-04T08:33:41.6590450Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/format_utils.py::DynamicMetaLoadPlanner:0 2025-12-04T08:33:41.6593365Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/optimizer.py::load_sharded_optimizer_state_dict:0, line 228 <- wrt source file 2025-12-04T08:33:41.6596417Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/optimizer.py::load_sharded_optimizer_state_dict:0 2025-12-04T08:33:41.6599274Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/state_dict.py::get_state_dict:0, line 1276 <- wrt source file 2025-12-04T08:33:41.6601921Z * SKIPPED: 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wrt source file 2025-12-04T08:33:41.6618517Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/state_dict_loader.py::load:0 2025-12-04T08:33:41.6621093Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/state_dict_saver.py::save:0, line 160 <- wrt source file 2025-12-04T08:33:41.6623665Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/state_dict_saver.py::save:0 2025-12-04T08:33:41.6626243Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/state_dict_saver.py::async_save:0, line 275 <- wrt source file 2025-12-04T08:33:41.6628948Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/state_dict_saver.py::async_save:0 2025-12-04T08:33:41.6631688Z * DOCTEST : 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/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel:0, line 125 <- wrt source file 2025-12-04T08:33:41.6711815Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel:0 2025-12-04T08:33:41.6715005Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.set_state_dict_type:0, line 651 <- wrt source file 2025-12-04T08:33:41.6718496Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.set_state_dict_type:0 2025-12-04T08:33:41.6721833Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.state_dict_type:0, line 805 <- wrt source file 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/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/categorical.py::Categorical:0 2025-12-04T08:33:41.7054275Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/cauchy.py::Cauchy:0, line 23 <- wrt source file 2025-12-04T08:33:41.7056482Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/cauchy.py::Cauchy:0 2025-12-04T08:33:41.7058592Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/chi2.py::Chi2:0, line 18 <- wrt source file 2025-12-04T08:33:41.7060711Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/chi2.py::Chi2:0 2025-12-04T08:33:41.7062963Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/constraints.py::is_dependent:0, line 167 <- wrt source file 2025-12-04T08:33:41.7065479Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/constraints.py::is_dependent:0 2025-12-04T08:33:41.7067965Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/constraints.py::_DependentProperty:0, line 188 <- wrt source file 2025-12-04T08:33:41.7070561Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/constraints.py::_DependentProperty:0 2025-12-04T08:33:41.7073336Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0, line 35 <- wrt source file 2025-12-04T08:33:41.7076164Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0 2025-12-04T08:33:41.7078735Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/dirichlet.py::Dirichlet:0, line 44 <- wrt source file 2025-12-04T08:33:41.7081079Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/dirichlet.py::Dirichlet:0 2025-12-04T08:33:41.7083442Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/exponential.py::Exponential:0, line 20 <- wrt source file 2025-12-04T08:33:41.7085960Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/exponential.py::Exponential:0 2025-12-04T08:33:41.7088441Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0, line 21 <- wrt source file 2025-12-04T08:33:41.7091017Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0 2025-12-04T08:33:41.7093329Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/gamma.py::Gamma:0, line 24 <- wrt source file 2025-12-04T08:33:41.7095493Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/gamma.py::Gamma:0 2025-12-04T08:33:41.7097913Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0, line 26 <- wrt source file 2025-12-04T08:33:41.7100715Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0 2025-12-04T08:33:41.7103199Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/geometric.py::Geometric:0, line 36 <- wrt source file 2025-12-04T08:33:41.7105536Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/geometric.py::Geometric:0 2025-12-04T08:33:41.7107766Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/gumbel.py::Gumbel:0, line 23 <- wrt source file 2025-12-04T08:33:41.7109978Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/gumbel.py::Gumbel:0 2025-12-04T08:33:41.7112221Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0, line 24 <- wrt source file 2025-12-04T08:33:41.7114620Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0 2025-12-04T08:33:41.7116964Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/half_normal.py::HalfNormal:0, line 24 <- wrt source file 2025-12-04T08:33:41.7119416Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/half_normal.py::HalfNormal:0 2025-12-04T08:33:41.7121879Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/independent.py::Independent:0, line 27 <- wrt source file 2025-12-04T08:33:41.7124320Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/independent.py::Independent:0 2025-12-04T08:33:41.7126731Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0, line 24 <- wrt source file 2025-12-04T08:33:41.7129229Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0 2025-12-04T08:33:41.7131643Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0, line 30 <- wrt source file 2025-12-04T08:33:41.7134070Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0 2025-12-04T08:33:41.7136360Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/laplace.py::Laplace:0, line 20 <- wrt source file 2025-12-04T08:33:41.7138615Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/laplace.py::Laplace:0 2025-12-04T08:33:41.7140909Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0, line 43 <- wrt source file 2025-12-04T08:33:41.7143389Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0 2025-12-04T08:33:41.7145734Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/log_normal.py::LogNormal:0, line 23 <- wrt source file 2025-12-04T08:33:41.7148083Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/log_normal.py::LogNormal:0 2025-12-04T08:33:41.7150517Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0, line 28 <- wrt source file 2025-12-04T08:33:41.7153083Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0 2025-12-04T08:33:41.7155867Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/lowrank_multivariate_normal.py::LowRankMultivariateNormal:0, line 63 <- wrt source file 2025-12-04T08:33:41.7159023Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/lowrank_multivariate_normal.py::LowRankMultivariateNormal:0 2025-12-04T08:33:41.7161843Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/mixture_same_family.py::MixtureSameFamily:0, line 24 <- wrt source file 2025-12-04T08:33:41.7164578Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/mixture_same_family.py::MixtureSameFamily:0 2025-12-04T08:33:41.7167116Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/multinomial.py::Multinomial:0, line 38 <- wrt source file 2025-12-04T08:33:41.7169569Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/multinomial.py::Multinomial:0 2025-12-04T08:33:41.7172152Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0, line 103 <- wrt source file 2025-12-04T08:33:41.7175079Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0 2025-12-04T08:33:41.7177482Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/normal.py::Normal:0, line 22 <- wrt source file 2025-12-04T08:33:41.7179798Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/normal.py::Normal:0 2025-12-04T08:33:41.7182233Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0, line 34 <- wrt source file 2025-12-04T08:33:41.7184954Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0 2025-12-04T08:33:41.7187361Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/pareto.py::Pareto:0, line 20 <- wrt source file 2025-12-04T08:33:41.7189595Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/pareto.py::Pareto:0 2025-12-04T08:33:41.7191794Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/poisson.py::Poisson:0, line 25 <- wrt source file 2025-12-04T08:33:41.7194059Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/poisson.py::Poisson:0 2025-12-04T08:33:41.7196516Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/relaxed_bernoulli.py::RelaxedBernoulli:0, line 130 <- wrt source file 2025-12-04T08:33:41.7199235Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/relaxed_bernoulli.py::RelaxedBernoulli:0 2025-12-04T08:33:41.7202050Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/relaxed_categorical.py::RelaxedOneHotCategorical:0, line 117 <- wrt source file 2025-12-04T08:33:41.7204946Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/relaxed_categorical.py::RelaxedOneHotCategorical:0 2025-12-04T08:33:41.7207477Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/studentT.py::StudentT:0, line 22 <- wrt source file 2025-12-04T08:33:41.7209771Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/studentT.py::StudentT:0 2025-12-04T08:33:41.7212125Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/transforms.py::CatTransform:0, line 1076 <- wrt source file 2025-12-04T08:33:41.7214582Z * SKIPPED: 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/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/uniform.py::Uniform:0 2025-12-04T08:33:41.7232136Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/utils.py::clamp_probs:0, line 114 <- wrt source file 2025-12-04T08:33:41.7234414Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/utils.py::clamp_probs:0 2025-12-04T08:33:41.7236648Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/von_mises.py::VonMises:0, line 119 <- wrt source file 2025-12-04T08:33:41.7239101Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/von_mises.py::VonMises:0 2025-12-04T08:33:41.7241330Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/weibull.py::Weibull:0, line 22 <- wrt source file 2025-12-04T08:33:41.7243602Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/weibull.py::Weibull:0 2025-12-04T08:33:41.7245803Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/wishart.py::Wishart:0, line 39 <- wrt source file 2025-12-04T08:33:41.7248067Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/wishart.py::Wishart:0 2025-12-04T08:33:41.7250331Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/export/_unlift.py::_convert_guards_code_to_fn:0, line 158 <- wrt source file 2025-12-04T08:33:41.7252780Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/export/_unlift.py::_convert_guards_code_to_fn:0 2025-12-04T08:33:41.7255046Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/export/dynamic_shapes.py::Dim:0, line 123 <- wrt source file 2025-12-04T08:33:41.7257251Z * SKIPPED: 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/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0 2025-12-04T08:33:41.8211710Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::gumbel_softmax:0, line 2198 <- wrt source file 2025-12-04T08:33:41.8253769Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::gumbel_softmax:0 2025-12-04T08:33:41.8255919Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::embedding:0, line 2503 <- wrt source file 2025-12-04T08:33:41.8278070Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::embedding:0 2025-12-04T08:33:41.8280214Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::embedding_bag:0, line 2645 <- wrt source file 2025-12-04T08:33:41.8318448Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::embedding_bag:0 2025-12-04T08:33:41.8320592Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::ctc_loss:0, line 3087 <- wrt source file 2025-12-04T08:33:41.8424031Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::ctc_loss:0 2025-12-04T08:33:41.8426114Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::nll_loss:0, line 3157 <- wrt source file 2025-12-04T08:33:41.8473461Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::nll_loss:0 2025-12-04T08:33:41.8476121Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::cross_entropy:0, line 3476 <- wrt source file 2025-12-04T08:33:41.8497468Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::cross_entropy:0 2025-12-04T08:33:41.8500054Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::binary_cross_entropy:0, line 3542 <- wrt source file 2025-12-04T08:33:41.8558124Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::binary_cross_entropy:0 2025-12-04T08:33:41.8560539Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0, line 3613 <- wrt source file 2025-12-04T08:33:41.8590536Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0 2025-12-04T08:33:41.8593257Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::pad:0, line 5387 <- wrt source file 2025-12-04T08:33:41.8602725Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::pad:0 2025-12-04T08:33:41.8604723Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/grad.py::conv1d_input:0, line 32 <- wrt source file 2025-12-04T08:33:41.8688987Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/grad.py::conv1d_input:0 2025-12-04T08:33:41.8691025Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/grad.py::conv1d_weight:0, line 79 <- wrt source file 2025-12-04T08:33:41.8694826Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/grad.py::conv1d_weight:0 2025-12-04T08:33:41.8696848Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/grad.py::conv2d_input:0, line 130 <- wrt source file 2025-12-04T08:33:41.8710069Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/grad.py::conv2d_input:0 2025-12-04T08:33:41.8712103Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/grad.py::conv2d_weight:0, line 177 <- wrt source file 2025-12-04T08:33:41.8716219Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/grad.py::conv2d_weight:0 2025-12-04T08:33:41.8718273Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/grad.py::conv3d_input:0, line 228 <- wrt source file 2025-12-04T08:33:41.8966806Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/grad.py::conv3d_input:0 2025-12-04T08:33:41.8969584Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/grad.py::conv3d_weight:0, line 275 <- wrt source file 2025-12-04T08:33:41.9020859Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/grad.py::conv3d_weight:0 2025-12-04T08:33:41.9023233Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::calculate_gain:0, line 172 <- wrt source file 2025-12-04T08:33:41.9025478Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::calculate_gain:0 2025-12-04T08:33:41.9027485Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::uniform_:0, line 231 <- wrt source file 2025-12-04T08:33:41.9029469Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::uniform_:0 2025-12-04T08:33:41.9031397Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::normal_:0, line 258 <- wrt source file 2025-12-04T08:33:41.9033490Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::normal_:0 2025-12-04T08:33:41.9035451Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::trunc_normal_:0, line 293 <- wrt source file 2025-12-04T08:33:41.9053669Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::trunc_normal_:0 2025-12-04T08:33:41.9055668Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::constant_:0, line 307 <- wrt source file 2025-12-04T08:33:41.9057806Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::constant_:0 2025-12-04T08:33:41.9059730Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::ones_:0, line 324 <- wrt source file 2025-12-04T08:33:41.9061670Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::ones_:0 2025-12-04T08:33:41.9063565Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::zeros_:0, line 337 <- wrt source file 2025-12-04T08:33:41.9065512Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::zeros_:0 2025-12-04T08:33:41.9067375Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::eye_:0, line 353 <- wrt source file 2025-12-04T08:33:41.9087207Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::eye_:0 2025-12-04T08:33:41.9089257Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::dirac_:0, line 375 <- wrt source file 2025-12-04T08:33:41.9092616Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::dirac_:0 2025-12-04T08:33:41.9094612Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::xavier_uniform_:0, line 461 <- wrt source file 2025-12-04T08:33:41.9096740Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::xavier_uniform_:0 2025-12-04T08:33:41.9098793Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::xavier_normal_:0, line 493 <- wrt source file 2025-12-04T08:33:41.9100880Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::xavier_normal_:0 2025-12-04T08:33:41.9102953Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::kaiming_uniform_:0, line 545 <- wrt source file 2025-12-04T08:33:41.9105064Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::kaiming_uniform_:0 2025-12-04T08:33:41.9107163Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::kaiming_normal_:0, line 610 <- wrt source file 2025-12-04T08:33:41.9109374Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::kaiming_normal_:0 2025-12-04T08:33:41.9111411Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::orthogonal_:0, line 649 <- wrt source file 2025-12-04T08:33:41.9113435Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::orthogonal_:0 2025-12-04T08:33:41.9115394Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::sparse_:0, line 702 <- wrt source file 2025-12-04T08:33:41.9139725Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::sparse_:0 2025-12-04T08:33:41.9141846Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0, line 124 <- wrt source file 2025-12-04T08:33:41.9144214Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0 2025-12-04T08:33:41.9146667Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/attention/_registry.py::register_flash_attention_impl:0, line 47 <- wrt source file 2025-12-04T08:33:41.9149378Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/attention/_registry.py::register_flash_attention_impl:0 2025-12-04T08:33:41.9152004Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/attention/_registry.py::activate_flash_attention_impl:0, line 78 <- wrt source file 2025-12-04T08:33:41.9154683Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/attention/_registry.py::activate_flash_attention_impl:0 2025-12-04T08:33:41.9157078Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/attention/bias.py::CausalBias:0, line 94 <- wrt source file 2025-12-04T08:33:41.9159359Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/attention/bias.py::CausalBias:0 2025-12-04T08:33:41.9161585Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/attention/varlen.py::varlen_attn:0, line 166 <- wrt source file 2025-12-04T08:33:41.9163867Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/attention/varlen.py::varlen_attn:0 2025-12-04T08:33:41.9166196Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Threshold:0, line 72 <- wrt source file 2025-12-04T08:33:41.9168479Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Threshold:0 2025-12-04T08:33:41.9170688Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::ReLU:0, line 120 <- wrt source file 2025-12-04T08:33:41.9173036Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::ReLU:0 2025-12-04T08:33:41.9175214Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::RReLU:0, line 185 <- wrt source file 2025-12-04T08:33:41.9180095Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::RReLU:0 2025-12-04T08:33:41.9182316Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Hardtanh:0, line 247 <- wrt source file 2025-12-04T08:33:41.9213148Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Hardtanh:0 2025-12-04T08:33:41.9215350Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::ReLU6:0, line 318 <- wrt source file 2025-12-04T08:33:41.9217702Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::ReLU6:0 2025-12-04T08:33:41.9219901Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Sigmoid:0, line 349 <- wrt source file 2025-12-04T08:33:41.9222159Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Sigmoid:0 2025-12-04T08:33:41.9224429Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0, line 384 <- wrt source file 2025-12-04T08:33:41.9232911Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0 2025-12-04T08:33:41.9235176Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Tanh:0, line 420 <- wrt source file 2025-12-04T08:33:41.9237368Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Tanh:0 2025-12-04T08:33:41.9239642Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::SiLU:0, line 456 <- wrt source file 2025-12-04T08:33:41.9253458Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::SiLU:0 2025-12-04T08:33:41.9255631Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Mish:0, line 501 <- wrt source file 2025-12-04T08:33:41.9270071Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Mish:0 2025-12-04T08:33:41.9272295Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Hardswish:0, line 552 <- wrt source file 2025-12-04T08:33:41.9280155Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Hardswish:0 2025-12-04T08:33:41.9282378Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::ELU:0, line 598 <- wrt source file 2025-12-04T08:33:41.9291882Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::ELU:0 2025-12-04T08:33:41.9294032Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::CELU:0, line 646 <- wrt source file 2025-12-04T08:33:41.9308512Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::CELU:0 2025-12-04T08:33:41.9310682Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::SELU:0, line 705 <- wrt source file 2025-12-04T08:33:41.9325666Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::SELU:0 2025-12-04T08:33:41.9327813Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::GLU:0, line 751 <- wrt source file 2025-12-04T08:33:41.9330668Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::GLU:0 2025-12-04T08:33:41.9332840Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::GELU:0, line 799 <- wrt source file 2025-12-04T08:33:41.9362998Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::GELU:0 2025-12-04T08:33:41.9365257Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Hardshrink:0, line 848 <- wrt source file 2025-12-04T08:33:41.9380778Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Hardshrink:0 2025-12-04T08:33:41.9383172Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::LeakyReLU:0, line 903 <- wrt source file 2025-12-04T08:33:41.9397520Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::LeakyReLU:0 2025-12-04T08:33:41.9399826Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::LogSigmoid:0, line 945 <- wrt source file 2025-12-04T08:33:41.9402586Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::LogSigmoid:0 2025-12-04T08:33:41.9405198Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Softplus:0, line 981 <- wrt source file 2025-12-04T08:33:41.9413681Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Softplus:0 2025-12-04T08:33:41.9416061Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Softshrink:0, line 1030 <- wrt source file 2025-12-04T08:33:41.9424428Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Softshrink:0 2025-12-04T08:33:41.9426855Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0, line 1148 <- wrt source file 2025-12-04T08:33:41.9429396Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0 2025-12-04T08:33:41.9431715Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::PReLU:0, line 1613 <- wrt source file 2025-12-04T08:33:41.9436832Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::PReLU:0 2025-12-04T08:33:41.9439143Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Softsign:0, line 1664 <- wrt source file 2025-12-04T08:33:41.9442070Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Softsign:0 2025-12-04T08:33:41.9444522Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Tanhshrink:0, line 1690 <- wrt source file 2025-12-04T08:33:41.9447019Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Tanhshrink:0 2025-12-04T08:33:41.9449686Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Softmin:0, line 1728 <- wrt source file 2025-12-04T08:33:41.9452123Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Softmin:0 2025-12-04T08:33:41.9454485Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Softmax:0, line 1792 <- wrt source file 2025-12-04T08:33:41.9456883Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Softmax:0 2025-12-04T08:33:41.9459394Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Softmax2d:0, line 1839 <- wrt source file 2025-12-04T08:33:41.9462240Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Softmax2d:0 2025-12-04T08:33:41.9465038Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::LogSoftmax:0, line 1878 <- wrt source file 2025-12-04T08:33:41.9467695Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::LogSoftmax:0 2025-12-04T08:33:41.9470115Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0, line 341 <- wrt source file 2025-12-04T08:33:41.9500850Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0 2025-12-04T08:33:41.9503278Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0, line 453 <- wrt source file 2025-12-04T08:33:41.9702235Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0 2025-12-04T08:33:41.9704979Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0, line 565 <- wrt source file 2025-12-04T08:33:42.1953599Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0 2025-12-04T08:33:42.2081230Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm:0, line 690 <- wrt source file 2025-12-04T08:33:42.2084087Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm:0 2025-12-04T08:33:42.2086824Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm.convert_sync_batchnorm:0, line 857 <- wrt source file 2025-12-04T08:33:42.2089814Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm.convert_sync_batchnorm:0 2025-12-04T08:33:42.2092595Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0, line 21 <- wrt source file 2025-12-04T08:33:42.2124241Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0 2025-12-04T08:33:42.2126756Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::Sequential:0, line 81 <- wrt source file 2025-12-04T08:33:42.2129185Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::Sequential:0 2025-12-04T08:33:42.2131635Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::Sequential.append:0, line 263 <- wrt source file 2025-12-04T08:33:42.2134810Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::Sequential.append:0 2025-12-04T08:33:42.2137566Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::Sequential.insert:0, line 286 <- wrt source file 2025-12-04T08:33:42.2143513Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::Sequential.insert:0 2025-12-04T08:33:42.2146053Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::Sequential.extend:0, line 317 <- wrt source file 2025-12-04T08:33:42.2153464Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::Sequential.extend:0 2025-12-04T08:33:42.2156011Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::ModuleList:0, line 346 <- wrt source file 2025-12-04T08:33:42.2158537Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::ModuleList:0 2025-12-04T08:33:42.2160968Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::ModuleDict:0, line 529 <- wrt source file 2025-12-04T08:33:42.2163389Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::ModuleDict:0 2025-12-04T08:33:42.2166025Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::ParameterList:0, line 661 <- wrt source file 2025-12-04T08:33:42.2168548Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::ParameterList:0 2025-12-04T08:33:42.2171027Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::ParameterDict:0, line 819 <- wrt source file 2025-12-04T08:33:42.2173699Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::ParameterDict:0 2025-12-04T08:33:42.2176209Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0, line 38 <- wrt source file 2025-12-04T08:33:42.2237501Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0 2025-12-04T08:33:42.2241010Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0, line 81 <- wrt source file 2025-12-04T08:33:42.2276434Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0 2025-12-04T08:33:42.2278862Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/dropout.py::Dropout:0, line 60 <- wrt source file 2025-12-04T08:33:42.2299757Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/dropout.py::Dropout:0 2025-12-04T08:33:42.2302078Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/dropout.py::Dropout1d:0, line 108 <- wrt source file 2025-12-04T08:33:42.2317935Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/dropout.py::Dropout1d:0 2025-12-04T08:33:42.2320262Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/dropout.py::Dropout2d:0, line 163 <- wrt source file 2025-12-04T08:33:42.2339395Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/dropout.py::Dropout2d:0 2025-12-04T08:33:42.2341707Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/dropout.py::Dropout3d:0, line 211 <- wrt source file 2025-12-04T08:33:42.2410039Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/dropout.py::Dropout3d:0 2025-12-04T08:33:42.2413044Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0, line 257 <- wrt source file 2025-12-04T08:33:42.2427666Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0 2025-12-04T08:33:42.2430150Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0, line 309 <- wrt source file 2025-12-04T08:33:42.2495601Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0 2025-12-04T08:33:42.2498392Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/flatten.py::Flatten:0, line 29 <- wrt source file 2025-12-04T08:33:42.2502974Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/flatten.py::Flatten:0 2025-12-04T08:33:42.2505256Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/flatten.py::Unflatten:0, line 86 <- wrt source file 2025-12-04T08:33:42.2533329Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/flatten.py::Unflatten:0 2025-12-04T08:33:42.2535545Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/fold.py::Fold:0, line 224 <- wrt source file 2025-12-04T08:33:42.2545880Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/fold.py::Fold:0 2025-12-04T08:33:42.2548072Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/fold.py::Unfold:0, line 395 <- wrt source file 2025-12-04T08:33:42.2581394Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/fold.py::Unfold:0 2025-12-04T08:33:42.2583818Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0, line 188 <- wrt source file 2025-12-04T08:33:42.2607835Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0 2025-12-04T08:33:42.2610417Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0, line 304 <- wrt source file 2025-12-04T08:33:42.2778231Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0 2025-12-04T08:33:42.2781206Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0, line 420 <- wrt source file 2025-12-04T08:33:42.5019668Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0 2025-12-04T08:33:42.5149859Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0, line 77 <- wrt source file 2025-12-04T08:33:42.5153508Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0 2025-12-04T08:33:42.5155818Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/linear.py::Identity:0, line 34 <- wrt source file 2025-12-04T08:33:42.5161106Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/linear.py::Identity:0 2025-12-04T08:33:42.5163348Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/linear.py::Linear:0, line 83 <- wrt source file 2025-12-04T08:33:42.5170629Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/linear.py::Linear:0 2025-12-04T08:33:42.5173332Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/linear.py::Bilinear:0, line 191 <- wrt source file 2025-12-04T08:33:42.5211456Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/linear.py::Bilinear:0 2025-12-04T08:33:42.5213686Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::L1Loss:0, line 116 <- wrt source file 2025-12-04T08:33:42.5238980Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::L1Loss:0 2025-12-04T08:33:42.5241178Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::NLLLoss:0, line 213 <- wrt source file 2025-12-04T08:33:42.5281837Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::NLLLoss:0 2025-12-04T08:33:42.5284450Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0, line 327 <- wrt source file 2025-12-04T08:33:42.5290029Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0 2025-12-04T08:33:42.5292419Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0, line 416 <- wrt source file 2025-12-04T08:33:42.5307580Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0 2025-12-04T08:33:42.5309895Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::KLDivLoss:0, line 531 <- wrt source file 2025-12-04T08:33:42.5335492Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::KLDivLoss:0 2025-12-04T08:33:42.5338070Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::MSELoss:0, line 613 <- wrt source file 2025-12-04T08:33:42.5355611Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::MSELoss:0 2025-12-04T08:33:42.5357872Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::BCELoss:0, line 696 <- wrt source file 2025-12-04T08:33:42.5363484Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::BCELoss:0 2025-12-04T08:33:42.5365968Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0, line 762 <- wrt source file 2025-12-04T08:33:42.5382493Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0 2025-12-04T08:33:42.5384941Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1, line 810 <- wrt source file 2025-12-04T08:33:42.5389763Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1 2025-12-04T08:33:42.5392719Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0, line 958 <- wrt source file 2025-12-04T08:33:42.5412129Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0 2025-12-04T08:33:42.5414617Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0, line 1284 <- wrt source file 2025-12-04T08:33:42.5422767Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0 2025-12-04T08:33:42.5425602Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1, line 1311 <- wrt source file 2025-12-04T08:33:42.5428442Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1 2025-12-04T08:33:42.5430896Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0, line 1464 <- wrt source file 2025-12-04T08:33:42.5449257Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0 2025-12-04T08:33:42.5451713Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0, line 1531 <- wrt source file 2025-12-04T08:33:42.5457782Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0 2025-12-04T08:33:42.5460212Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0, line 1612 <- wrt source file 2025-12-04T08:33:42.5467102Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0 2025-12-04T08:33:42.5469515Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0, line 1714 <- wrt source file 2025-12-04T08:33:42.5486329Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0 2025-12-04T08:33:42.5489094Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::TripletMarginWithDistanceLoss:0, line 1827 <- wrt source file 2025-12-04T08:33:42.5526685Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::TripletMarginWithDistanceLoss:0 2025-12-04T08:33:42.5529568Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::CTCLoss:0, line 1959 <- wrt source file 2025-12-04T08:33:42.5554925Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::CTCLoss:0 2025-12-04T08:33:42.5557345Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.register_buffer:0, line 554 <- wrt source file 2025-12-04T08:33:42.5560046Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.register_buffer:0 2025-12-04T08:33:42.5562694Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.apply:0, line 1048 <- wrt source file 2025-12-04T08:33:42.5578103Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.apply:0 2025-12-04T08:33:42.5580413Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.to:0, line 1299 <- wrt source file 2025-12-04T08:33:42.5599304Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.to:0 2025-12-04T08:33:42.5601689Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.state_dict:0, line 2232 <- wrt source file 2025-12-04T08:33:42.5604213Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.state_dict:0 2025-12-04T08:33:42.5606715Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.parameters:0, line 2678 <- wrt source file 2025-12-04T08:33:42.5609235Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.parameters:0 2025-12-04T08:33:42.5611774Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.named_parameters:0, line 2706 <- wrt source file 2025-12-04T08:33:42.5614578Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.named_parameters:0 2025-12-04T08:33:42.5617091Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.buffers:0, line 2733 <- wrt source file 2025-12-04T08:33:42.5619523Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.buffers:0 2025-12-04T08:33:42.5622006Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.named_buffers:0, line 2760 <- wrt source file 2025-12-04T08:33:42.5624576Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.named_buffers:0 2025-12-04T08:33:42.5627106Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.named_children:0, line 2791 <- wrt source file 2025-12-04T08:33:42.5629671Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.named_children:0 2025-12-04T08:33:42.5632143Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.modules:0, line 2815 <- wrt source file 2025-12-04T08:33:42.5634610Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.modules:0 2025-12-04T08:33:42.5637093Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.named_modules:0, line 2853 <- wrt source file 2025-12-04T08:33:42.5639730Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.named_modules:0 2025-12-04T08:33:42.5642320Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0, line 38 <- wrt source file 2025-12-04T08:33:42.5661060Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0 2025-12-04T08:33:42.5664442Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/normalization.py::LayerNorm:0, line 163 <- wrt source file 2025-12-04T08:33:42.5684809Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/normalization.py::LayerNorm:0 2025-12-04T08:33:42.5687719Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/normalization.py::GroupNorm:0, line 274 <- wrt source file 2025-12-04T08:33:42.5699648Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/normalization.py::GroupNorm:0 2025-12-04T08:33:42.5702507Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/normalization.py::RMSNorm:0, line 369 <- wrt source file 2025-12-04T08:33:42.5712169Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/normalization.py::RMSNorm:0 2025-12-04T08:33:42.5714575Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::CircularPad1d:0, line 70 <- wrt source file 2025-12-04T08:33:42.5725558Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::CircularPad1d:0 2025-12-04T08:33:42.5727972Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::CircularPad2d:0, line 123 <- wrt source file 2025-12-04T08:33:42.5748350Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::CircularPad2d:0 2025-12-04T08:33:42.5750802Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::CircularPad3d:0, line 189 <- wrt source file 2025-12-04T08:33:43.1189290Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::CircularPad3d:0 2025-12-04T08:33:43.1451647Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0, line 244 <- wrt source file 2025-12-04T08:33:43.1462574Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0 2025-12-04T08:33:43.1465039Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0, line 298 <- wrt source file 2025-12-04T08:33:43.1470105Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0 2025-12-04T08:33:43.1472665Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0, line 355 <- wrt source file 2025-12-04T08:33:43.1493451Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0 2025-12-04T08:33:43.1495885Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0, line 401 <- wrt source file 2025-12-04T08:33:43.1520490Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0 2025-12-04T08:33:43.1522964Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0, line 446 <- wrt source file 2025-12-04T08:33:43.1527582Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0 2025-12-04T08:33:43.1530043Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0, line 505 <- wrt source file 2025-12-04T08:33:43.1538867Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0 2025-12-04T08:33:43.1541365Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0, line 565 <- wrt source file 2025-12-04T08:33:43.1551451Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0 2025-12-04T08:33:43.1554072Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0, line 610 <- wrt source file 2025-12-04T08:33:43.1558916Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0 2025-12-04T08:33:43.1561419Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0, line 669 <- wrt source file 2025-12-04T08:33:43.6074705Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0 2025-12-04T08:33:43.6331581Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0, line 704 <- wrt source file 2025-12-04T08:33:43.6342413Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0 2025-12-04T08:33:43.6344767Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0, line 762 <- wrt source file 2025-12-04T08:33:43.6349299Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0 2025-12-04T08:33:43.6351606Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0, line 824 <- wrt source file 2025-12-04T08:33:43.6372738Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0 2025-12-04T08:33:43.6375206Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0, line 40 <- wrt source file 2025-12-04T08:33:43.6392861Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0 2025-12-04T08:33:43.6395409Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0, line 99 <- wrt source file 2025-12-04T08:33:43.6412141Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0 2025-12-04T08:33:43.6414575Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0, line 129 <- wrt source file 2025-12-04T08:33:43.6418679Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0 2025-12-04T08:33:43.6420995Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0, line 207 <- wrt source file 2025-12-04T08:33:43.6490894Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0 2025-12-04T08:33:43.6493388Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0, line 291 <- wrt source file 2025-12-04T08:33:43.8324192Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0 2025-12-04T08:33:43.8373101Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0, line 366 <- wrt source file 2025-12-04T08:33:43.8393500Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0 2025-12-04T08:33:43.8395854Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::MaxUnpool2d:0, line 452 <- wrt source file 2025-12-04T08:33:43.8415183Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::MaxUnpool2d:0 2025-12-04T08:33:43.8417802Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0, line 550 <- wrt source file 2025-12-04T08:33:43.9083820Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0 2025-12-04T08:33:43.9086206Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0, line 642 <- wrt source file 2025-12-04T08:33:43.9136500Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0 2025-12-04T08:33:43.9138829Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0, line 738 <- wrt source file 2025-12-04T08:33:43.9171942Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0 2025-12-04T08:33:43.9174465Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0, line 855 <- wrt source file 2025-12-04T08:33:44.0691946Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0 2025-12-04T08:33:44.0739664Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0, line 946 <- wrt source file 2025-12-04T08:33:44.0783016Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0 2025-12-04T08:33:44.0786003Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0, line 1033 <- wrt source file 2025-12-04T08:33:44.1345519Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0 2025-12-04T08:33:44.1348020Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::LPPool1d:0, line 1156 <- wrt source file 2025-12-04T08:33:44.1354915Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::LPPool1d:0 2025-12-04T08:33:44.1357579Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::LPPool2d:0, line 1212 <- wrt source file 2025-12-04T08:33:44.1400940Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::LPPool2d:0 2025-12-04T08:33:44.1404039Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::LPPool3d:0, line 1276 <- wrt source file 2025-12-04T08:33:44.3185893Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::LPPool3d:0 2025-12-04T08:33:44.3232928Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0, line 1332 <- wrt source file 2025-12-04T08:33:44.3252798Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0 2025-12-04T08:33:44.3255365Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0, line 1367 <- wrt source file 2025-12-04T08:33:44.3262989Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0 2025-12-04T08:33:44.3265564Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0, line 1411 <- wrt source file 2025-12-04T08:33:44.3338191Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0 2025-12-04T08:33:44.3341839Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0, line 1459 <- wrt source file 2025-12-04T08:33:44.3368624Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0 2025-12-04T08:33:44.3371177Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0, line 1493 <- wrt source file 2025-12-04T08:33:44.3377917Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0 2025-12-04T08:33:44.3380452Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0, line 1533 <- wrt source file 2025-12-04T08:33:44.3402119Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0 2025-12-04T08:33:44.3404427Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/rnn.py::RNN:0, line 598 <- wrt source file 2025-12-04T08:33:44.3445657Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/rnn.py::RNN:0 2025-12-04T08:33:44.3447890Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/rnn.py::LSTM:0, line 963 <- wrt source file 2025-12-04T08:33:44.3827630Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/rnn.py::LSTM:0 2025-12-04T08:33:44.3830133Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/rnn.py::GRU:0, line 1305 <- wrt source file 2025-12-04T08:33:44.3878067Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/rnn.py::GRU:0 2025-12-04T08:33:44.3880230Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/rnn.py::RNNCell:0, line 1561 <- wrt source file 2025-12-04T08:33:44.3899635Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/rnn.py::RNNCell:0 2025-12-04T08:33:44.3901834Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/rnn.py::LSTMCell:0, line 1683 <- wrt source file 2025-12-04T08:33:44.3911695Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/rnn.py::LSTMCell:0 2025-12-04T08:33:44.3913899Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/rnn.py::GRUCell:0, line 1797 <- wrt source file 2025-12-04T08:33:44.3926603Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/rnn.py::GRUCell:0 2025-12-04T08:33:44.3928832Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/sparse.py::Embedding:0, line 71 <- wrt source file 2025-12-04T08:33:44.3943269Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/sparse.py::Embedding:0 2025-12-04T08:33:44.3945765Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0, line 243 <- wrt source file 2025-12-04T08:33:44.3949629Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0 2025-12-04T08:33:44.3952142Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/sparse.py::EmbeddingBag:0, line 324 <- wrt source file 2025-12-04T08:33:44.3973211Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/sparse.py::EmbeddingBag:0 2025-12-04T08:33:44.3975750Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0, line 523 <- wrt source file 2025-12-04T08:33:44.3986824Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0 2025-12-04T08:33:44.3989433Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/transformer.py::Transformer:0, line 91 <- wrt source file 2025-12-04T08:33:45.1357245Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/transformer.py::Transformer:0 2025-12-04T08:33:45.1474168Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/transformer.py::Transformer.forward:0, line 267 <- wrt source file 2025-12-04T08:33:45.1476705Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/transformer.py::Transformer.forward:0 2025-12-04T08:33:45.1479017Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0, line 345 <- wrt source file 2025-12-04T08:33:45.2479528Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0 2025-12-04T08:33:45.2484224Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0, line 578 <- wrt source file 2025-12-04T08:33:45.4640210Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0 2025-12-04T08:33:45.4648406Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0, line 702 <- wrt source file 2025-12-04T08:33:45.4920332Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0 2025-12-04T08:33:45.4923404Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0, line 1014 <- wrt source file 2025-12-04T08:33:45.5423069Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0 2025-12-04T08:33:45.5425851Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/upsampling.py::Upsample:0, line 77 <- wrt source file 2025-12-04T08:33:45.5502193Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/upsampling.py::Upsample:0 2025-12-04T08:33:45.5504733Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0, line 229 <- wrt source file 2025-12-04T08:33:45.5515694Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0 2025-12-04T08:33:45.5518717Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0, line 279 <- wrt source file 2025-12-04T08:33:45.5525222Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0 2025-12-04T08:33:45.5527819Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0, line 128 <- wrt source file 2025-12-04T08:33:45.5530400Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0 2025-12-04T08:33:45.5533115Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0, line 644 <- wrt source file 2025-12-04T08:33:45.5535958Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0 2025-12-04T08:33:45.5539021Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0, line 1451 <- wrt source file 2025-12-04T08:33:45.5542018Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0 2025-12-04T08:33:45.5544948Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.join:0, line 1838 <- wrt source file 2025-12-04T08:33:45.5547914Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.join:0 2025-12-04T08:33:45.5550989Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0, line 2004 <- wrt source file 2025-12-04T08:33:45.5554218Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0 2025-12-04T08:33:45.5561587Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1, line 2014 <- wrt source file 2025-12-04T08:33:45.5564930Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1 2025-12-04T08:33:45.5568362Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0, line 2049 <- wrt source file 2025-12-04T08:33:45.5571731Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0 2025-12-04T08:33:45.5575250Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_fused_optim:0, line 2107 <- wrt source file 2025-12-04T08:33:45.5578555Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_fused_optim:0 2025-12-04T08:33:45.5581443Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/_per_sample_grad.py::call_for_per_sample_grads:0, line 35 <- wrt source file 2025-12-04T08:33:45.5584175Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/_per_sample_grad.py::call_for_per_sample_grads:0 2025-12-04T08:33:45.5586590Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/init.py::skip_init:0, line 33 <- wrt source file 2025-12-04T08:33:45.5588828Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/init.py::skip_init:0 2025-12-04T08:33:45.5591476Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/memory_format.py::convert_conv2d_weight_memory_format:0, line 64 <- wrt source file 2025-12-04T08:33:45.5594410Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/memory_format.py::convert_conv2d_weight_memory_format:0 2025-12-04T08:33:45.5597279Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/memory_format.py::convert_conv3d_weight_memory_format:0, line 143 <- wrt source file 2025-12-04T08:33:45.5600287Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/memory_format.py::convert_conv3d_weight_memory_format:0 2025-12-04T08:33:45.5602997Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0, line 267 <- wrt source file 2025-12-04T08:33:45.5605645Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0 2025-12-04T08:33:45.5608155Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0, line 362 <- wrt source file 2025-12-04T08:33:45.5610743Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0 2025-12-04T08:33:45.5613306Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0, line 593 <- wrt source file 2025-12-04T08:33:45.5615952Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0 2025-12-04T08:33:45.5618320Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::identity:0, line 852 <- wrt source file 2025-12-04T08:33:45.5620551Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::identity:0 2025-12-04T08:33:45.5622851Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::random_unstructured:0, line 888 <- wrt source file 2025-12-04T08:33:45.5625423Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::random_unstructured:0 2025-12-04T08:33:45.5627793Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::l1_unstructured:0, line 931 <- wrt source file 2025-12-04T08:33:45.5630216Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::l1_unstructured:0 2025-12-04T08:33:45.5632562Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::random_structured:0, line 971 <- wrt source file 2025-12-04T08:33:45.5634995Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::random_structured:0 2025-12-04T08:33:45.5637336Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::ln_structured:0, line 1017 <- wrt source file 2025-12-04T08:33:45.5639721Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::ln_structured:0 2025-12-04T08:33:45.5642073Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::global_unstructured:0, line 1072 <- wrt source file 2025-12-04T08:33:45.5654960Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::global_unstructured:0 2025-12-04T08:33:45.5657360Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::custom_from_mask:0, line 1175 <- wrt source file 2025-12-04T08:33:45.5665032Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::custom_from_mask:0 2025-12-04T08:33:45.5667292Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::remove:0, line 1203 <- wrt source file 2025-12-04T08:33:45.5678650Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::remove:0 2025-12-04T08:33:45.5680837Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::is_pruned:0, line 1231 <- wrt source file 2025-12-04T08:33:45.5687759Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::is_pruned:0 2025-12-04T08:33:45.5690040Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/rnn.py::pad_packed_sequence:0, line 359 <- wrt source file 2025-12-04T08:33:45.5754601Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/rnn.py::pad_packed_sequence:0 2025-12-04T08:33:45.5757047Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/rnn.py::pad_sequence:0, line 439 <- wrt source file 2025-12-04T08:33:45.5792804Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/rnn.py::pad_sequence:0 2025-12-04T08:33:45.5795092Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0, line 500 <- wrt source file 2025-12-04T08:33:45.5816195Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0 2025-12-04T08:33:45.5818726Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/rnn.py::pack_sequence:0, line 556 <- wrt source file 2025-12-04T08:33:45.5826820Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/rnn.py::pack_sequence:0 2025-12-04T08:33:45.5829037Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0, line 584 <- wrt source file 2025-12-04T08:33:45.5846443Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0 2025-12-04T08:33:45.5848862Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0, line 314 <- wrt source file 2025-12-04T08:33:45.5855940Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0 2025-12-04T08:33:45.5858306Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0, line 347 <- wrt source file 2025-12-04T08:33:45.5889592Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0 2025-12-04T08:33:45.5892396Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/stateless.py::functional_call:0, line 193 <- wrt source file 2025-12-04T08:33:45.5894940Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/stateless.py::functional_call:0 2025-12-04T08:33:45.5897234Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0, line 134 <- wrt source file 2025-12-04T08:33:45.5923308Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0 2025-12-04T08:33:45.5925591Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0, line 156 <- wrt source file 2025-12-04T08:33:45.5930804Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0 2025-12-04T08:33:45.5933560Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0, line 315 <- wrt source file 2025-12-04T08:33:45.5936054Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0 2025-12-04T08:33:45.5938847Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/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 2025-12-04T08:33:45.5942159Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/_expanded_weights/expanded_weights_utils.py::sum_over_all_but_batch_and_last_n:0 2025-12-04T08:33:45.5944847Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0, line 357 <- wrt source file 2025-12-04T08:33:45.5947251Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0 2025-12-04T08:33:45.5949484Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0, line 483 <- wrt source file 2025-12-04T08:33:45.5951942Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0 2025-12-04T08:33:45.5954211Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::StepLR:0, line 608 <- wrt source file 2025-12-04T08:33:45.5956502Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::StepLR:0 2025-12-04T08:33:45.5958797Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0, line 695 <- wrt source file 2025-12-04T08:33:45.5961076Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0 2025-12-04T08:33:45.5962513Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0, line 791 <- wrt source file 2025-12-04T08:33:45.5964129Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0 2025-12-04T08:33:45.5965505Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::LinearLR:0, line 898 <- wrt source file 2025-12-04T08:33:45.5967810Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::LinearLR:0 2025-12-04T08:33:45.5969041Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0, line 1020 <- wrt source file 2025-12-04T08:33:45.5970321Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0 2025-12-04T08:33:45.5972160Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0, line 1097 <- wrt source file 2025-12-04T08:33:45.5974764Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0 2025-12-04T08:33:45.5977084Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0, line 1249 <- wrt source file 2025-12-04T08:33:45.5979791Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0 2025-12-04T08:33:45.5981801Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0, line 1378 <- wrt source file 2025-12-04T08:33:45.5983809Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0 2025-12-04T08:33:45.5985104Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0, line 1490 <- wrt source file 2025-12-04T08:33:45.5986394Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0 2025-12-04T08:33:45.5987621Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0, line 1863 <- wrt source file 2025-12-04T08:33:45.5989463Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0 2025-12-04T08:33:45.5991857Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts:0, line 2129 <- wrt source file 2025-12-04T08:33:45.5994823Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts:0 2025-12-04T08:33:45.5997860Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0, line 2211 <- wrt source file 2025-12-04T08:33:45.6000906Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0 2025-12-04T08:33:45.6003472Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1, line 2227 <- wrt source file 2025-12-04T08:33:45.6006366Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1 2025-12-04T08:33:45.6008875Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0, line 2367 <- wrt source file 2025-12-04T08:33:45.6011018Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0 2025-12-04T08:33:45.6013374Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/optimizer.py::Optimizer.load_state_dict:0, line 900 <- wrt source file 2025-12-04T08:33:45.6015980Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/optimizer.py::Optimizer.load_state_dict:0 2025-12-04T08:33:45.6018308Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/swa_utils.py::AveragedModel:0, line 155 <- wrt source file 2025-12-04T08:33:45.6020371Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/swa_utils.py::AveragedModel:0 2025-12-04T08:33:45.6022538Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/swa_utils.py::AveragedModel:1, line 181 <- wrt source file 2025-12-04T08:33:45.6024765Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/swa_utils.py::AveragedModel:1 2025-12-04T08:33:45.6026919Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/swa_utils.py::update_bn:0, line 350 <- wrt source file 2025-12-04T08:33:45.6029167Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/swa_utils.py::update_bn:0 2025-12-04T08:33:45.6031303Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/swa_utils.py::SWALR:0, line 409 <- wrt source file 2025-12-04T08:33:45.6033401Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/swa_utils.py::SWALR:0 2025-12-04T08:33:45.6035418Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/package/glob_group.py::GlobGroup:0, line 22 <- wrt source file 2025-12-04T08:33:45.6037841Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/package/glob_group.py::GlobGroup:0 2025-12-04T08:33:45.6040404Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/profiler/profiler.py::_KinetoProfile.toggle_collection_dynamic:0, line 317 <- wrt source file 2025-12-04T08:33:45.6043232Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/profiler/profiler.py::_KinetoProfile.toggle_collection_dynamic:0 2025-12-04T08:33:45.6045704Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/profiler/profiler.py::profile:0, line 659 <- wrt source file 2025-12-04T08:33:45.6047741Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/profiler/profiler.py::profile:0 2025-12-04T08:33:45.6049860Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/sparse/semi_structured.py::to_sparse_semi_structured:0, line 342 <- wrt source file 2025-12-04T08:33:45.6052694Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/sparse/semi_structured.py::to_sparse_semi_structured:0 2025-12-04T08:33:45.6054931Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_comparison.py::assert_close:0, line 1477 <- wrt source file 2025-12-04T08:33:45.6060909Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_comparison.py::assert_close:0 2025-12-04T08:33:45.6063232Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_creation.py::make_tensor:0, line 114 <- wrt source file 2025-12-04T08:33:45.6065579Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_creation.py::make_tensor:0 2025-12-04T08:33:45.6067964Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_internal/common_utils.py::parametrize:0, line 648 <- wrt source file 2025-12-04T08:33:45.6070579Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_internal/common_utils.py::parametrize:0 2025-12-04T08:33:45.6073439Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_internal/common_utils.py::reparametrize:0, line 769 <- wrt source file 2025-12-04T08:33:45.6075754Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_internal/common_utils.py::reparametrize:0 2025-12-04T08:33:45.6077264Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_internal/common_utils.py::decorateIf:0, line 858 <- wrt source file 2025-12-04T08:33:45.6078743Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_internal/common_utils.py::decorateIf:0 2025-12-04T08:33:45.6080137Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_internal/common_utils.py::random_symmetric_psd_matrix:0, line 4839 <- wrt source file 2025-12-04T08:33:45.6081680Z * SKIPPED: 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194 <- wrt source file 2025-12-04T08:33:45.6092623Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_internal/logging_utils.py::logs_to_string:0 2025-12-04T08:33:45.6094788Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_internal/logging_utils.py::multiple_logs_to_string:0, line 220 <- wrt source file 2025-12-04T08:33:45.6096298Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_internal/logging_utils.py::multiple_logs_to_string:0 2025-12-04T08:33:45.6097844Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_internal/distributed/_tensor/common_dtensor.py::skip_unless_torch_gpu:0, line 341 <- wrt source file 2025-12-04T08:33:45.6099633Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_internal/distributed/_tensor/common_dtensor.py::skip_unless_torch_gpu:0 2025-12-04T08:33:45.6101945Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_internal/optests/autograd_registration.py::autograd_registration_check:0, line 29 <- wrt source file 2025-12-04T08:33:45.6136265Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_internal/optests/autograd_registration.py::autograd_registration_check:0 2025-12-04T08:33:45.6138326Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::register_pytree_node:0, line 159 <- wrt source file 2025-12-04T08:33:45.6139638Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::register_pytree_node:0 2025-12-04T08:33:45.6140880Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::tree_is_leaf:0, line 316 <- wrt source file 2025-12-04T08:33:45.6159502Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::tree_is_leaf:0 2025-12-04T08:33:45.6161817Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0, line 359 <- wrt source file 2025-12-04T08:33:45.6169323Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0 2025-12-04T08:33:45.6171612Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0, line 396 <- wrt source file 2025-12-04T08:33:45.6181582Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0 2025-12-04T08:33:45.6183787Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0, line 429 <- wrt source file 2025-12-04T08:33:45.6192450Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0 2025-12-04T08:33:45.6194619Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0, line 464 <- wrt source file 2025-12-04T08:33:45.6199243Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0 2025-12-04T08:33:45.6201476Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0, line 499 <- wrt source file 2025-12-04T08:33:45.6206273Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0 2025-12-04T08:33:45.6208408Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::tree_map:0, line 536 <- wrt source file 2025-12-04T08:33:45.6215179Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::tree_map:0 2025-12-04T08:33:45.6217375Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0, line 929 <- wrt source file 2025-12-04T08:33:45.6234571Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0 2025-12-04T08:33:45.6237008Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_pytree.py::register_dataclass:0, line 308 <- wrt source file 2025-12-04T08:33:45.6249624Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_pytree.py::register_dataclass:0 2025-12-04T08:33:45.6251870Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_pytree.py::register_constant:0, line 428 <- wrt source file 2025-12-04T08:33:45.6262681Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_pytree.py::register_constant:0 2025-12-04T08:33:45.6264940Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_pytree.py::tree_is_leaf:0, line 1058 <- wrt source file 2025-12-04T08:33:45.6271162Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_pytree.py::tree_is_leaf:0 2025-12-04T08:33:45.6273467Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_pytree.py::tree_map:0, line 1497 <- wrt source file 2025-12-04T08:33:45.6280292Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_pytree.py::tree_map:0 2025-12-04T08:33:45.6282837Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0, line 71 <- wrt source file 2025-12-04T08:33:45.6285618Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0 2025-12-04T08:33:45.6288567Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/backend_registration.py::generate_methods_for_privateuse1_backend:0, line 382 <- wrt source file 2025-12-04T08:33:45.6291518Z * SKIPPED: 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SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/checkpoint.py::set_checkpoint_early_stop:0 2025-12-04T08:33:45.6303337Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/checkpoint.py::SelectiveCheckpointContext:0, line 1257 <- wrt source file 2025-12-04T08:33:45.6304745Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/checkpoint.py::SelectiveCheckpointContext:0 2025-12-04T08:33:45.6306276Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/checkpoint.py::create_selective_checkpoint_contexts:0, line 1421 <- wrt source file 2025-12-04T08:33:45.6329669Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/checkpoint.py::create_selective_checkpoint_contexts:0 2025-12-04T08:33:45.6332245Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/cpp_extension.py::CppExtension:0, line 1247 <- wrt source file 2025-12-04T08:33:45.6334648Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/cpp_extension.py::CppExtension:0 2025-12-04T08:33:45.6336894Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/cpp_extension.py::CUDAExtension:0, line 1319 <- wrt source file 2025-12-04T08:33:45.6339175Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/cpp_extension.py::CUDAExtension:0 2025-12-04T08:33:45.6340862Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/cpp_extension.py::CUDAExtension:1, line 1397 <- wrt source file 2025-12-04T08:33:45.6342180Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/cpp_extension.py::CUDAExtension:1 2025-12-04T08:33:45.6343422Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/cpp_extension.py::SyclExtension:0, line 1509 <- wrt source file 2025-12-04T08:33:45.6344694Z * SKIPPED: 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2025-12-04T08:33:45.6367847Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/throughput_benchmark.py::ThroughputBenchmark:0, line 78 <- wrt source file 2025-12-04T08:33:45.6370168Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/throughput_benchmark.py::ThroughputBenchmark:0 2025-12-04T08:33:45.6371642Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0, line 742 <- wrt source file 2025-12-04T08:33:45.6766968Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0 2025-12-04T08:33:45.6769677Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/dataset.py::IterableDataset:0, line 94 <- wrt source file 2025-12-04T08:33:45.6776684Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/dataset.py::IterableDataset:0 2025-12-04T08:33:45.6779128Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/dataset.py::StackDataset:0, line 218 <- wrt source file 2025-12-04T08:33:45.6781572Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/dataset.py::StackDataset:0 2025-12-04T08:33:45.6784127Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/dataset.py::random_split:0, line 438 <- wrt source file 2025-12-04T08:33:45.6786555Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/dataset.py::random_split:0 2025-12-04T08:33:45.6789055Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/distributed.py::DistributedSampler:0, line 55 <- wrt source file 2025-12-04T08:33:45.6791735Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/distributed.py::DistributedSampler:0 2025-12-04T08:33:45.6794184Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/sampler.py::Sampler:0, line 36 <- wrt source file 2025-12-04T08:33:45.6796484Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/sampler.py::Sampler:0 2025-12-04T08:33:45.6799115Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0, line 225 <- wrt source file 2025-12-04T08:33:45.6801772Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0 2025-12-04T08:33:45.6804271Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/sampler.py::BatchSampler:0, line 296 <- wrt source file 2025-12-04T08:33:45.6806711Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/sampler.py::BatchSampler:0 2025-12-04T08:33:45.6809169Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/_utils/collate.py::default_convert:0, line 39 <- wrt source file 2025-12-04T08:33:45.6811756Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/_utils/collate.py::default_convert:0 2025-12-04T08:33:45.6814252Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/_utils/collate.py::collate:0, line 137 <- wrt source file 2025-12-04T08:33:45.6816772Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/_utils/collate.py::collate:0 2025-12-04T08:33:45.6819268Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/_utils/collate.py::default_collate:0, line 367 <- wrt source file 2025-12-04T08:33:45.6821963Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/_utils/collate.py::default_collate:0 2025-12-04T08:33:45.6824574Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/datapipe.py::IterDataPipe:0, line 97 <- wrt source file 2025-12-04T08:33:45.6827285Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/datapipe.py::IterDataPipe:0 2025-12-04T08:33:45.6829936Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0, line 269 <- wrt source file 2025-12-04T08:33:45.6832632Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0 2025-12-04T08:33:45.6835428Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0, line 53 <- wrt source file 2025-12-04T08:33:45.6838467Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0 2025-12-04T08:33:45.6841424Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0, line 202 <- wrt source file 2025-12-04T08:33:45.6844522Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0 2025-12-04T08:33:45.6847581Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0, line 90 <- wrt source file 2025-12-04T08:33:45.6850742Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0 2025-12-04T08:33:45.6853796Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/combining.py::ConcaterIterDataPipe:0, line 38 <- wrt source file 2025-12-04T08:33:45.6856848Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/combining.py::ConcaterIterDataPipe:0 2025-12-04T08:33:45.6859871Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/combining.py::ForkerIterDataPipe:0, line 89 <- wrt source file 2025-12-04T08:33:45.6862859Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/combining.py::ForkerIterDataPipe:0 2025-12-04T08:33:45.6865737Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/combining.py::_ChildDataPipe:0, line 308 <- wrt source file 2025-12-04T08:33:45.6868641Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/combining.py::_ChildDataPipe:0 2025-12-04T08:33:45.6871636Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/combining.py::DemultiplexerIterDataPipe:0, line 397 <- wrt source file 2025-12-04T08:33:45.6874999Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/combining.py::DemultiplexerIterDataPipe:0 2025-12-04T08:33:45.6878170Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/combining.py::MultiplexerIterDataPipe:0, line 615 <- wrt source file 2025-12-04T08:33:45.6881366Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/combining.py::MultiplexerIterDataPipe:0 2025-12-04T08:33:45.6884478Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/combining.py::ZipperIterDataPipe:0, line 685 <- wrt source file 2025-12-04T08:33:45.6887486Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/combining.py::ZipperIterDataPipe:0 2025-12-04T08:33:45.6890501Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0, line 29 <- wrt source file 2025-12-04T08:33:45.6893647Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0 2025-12-04T08:33:45.6896697Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/fileopener.py::FileOpenerIterDataPipe:0, line 33 <- wrt source file 2025-12-04T08:33:45.6899846Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/fileopener.py::FileOpenerIterDataPipe:0 2025-12-04T08:33:45.6902839Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/grouping.py::BatcherIterDataPipe:0, line 41 <- wrt source file 2025-12-04T08:33:45.6905847Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/grouping.py::BatcherIterDataPipe:0 2025-12-04T08:33:45.6908941Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/grouping.py::UnBatcherIterDataPipe:0, line 102 <- wrt source file 2025-12-04T08:33:45.6911981Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/grouping.py::UnBatcherIterDataPipe:0 2025-12-04T08:33:45.6914952Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/grouping.py::GrouperIterDataPipe:0, line 169 <- wrt source file 2025-12-04T08:33:45.6918002Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/grouping.py::GrouperIterDataPipe:0 2025-12-04T08:33:45.6920956Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/selecting.py::FilterIterDataPipe:0, line 37 <- wrt source file 2025-12-04T08:33:45.6923947Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/selecting.py::FilterIterDataPipe:0 2025-12-04T08:33:45.6927045Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0, line 24 <- wrt source file 2025-12-04T08:33:45.6930279Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0 2025-12-04T08:33:45.6933374Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0, line 29 <- wrt source file 2025-12-04T08:33:45.6936470Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0 2025-12-04T08:33:45.6939534Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0, line 36 <- wrt source file 2025-12-04T08:33:45.6942463Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0 2025-12-04T08:33:45.6945494Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0, line 34 <- wrt source file 2025-12-04T08:33:45.6948633Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0 2025-12-04T08:33:45.6951684Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/map/combining.py::ConcaterMapDataPipe:0, line 29 <- wrt source file 2025-12-04T08:33:45.6954677Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/map/combining.py::ConcaterMapDataPipe:0 2025-12-04T08:33:45.6957595Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/map/combining.py::ZipperMapDataPipe:0, line 76 <- wrt source file 2025-12-04T08:33:45.6960633Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/map/combining.py::ZipperMapDataPipe:0 2025-12-04T08:33:45.6963571Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/map/grouping.py::BatcherMapDataPipe:0, line 29 <- wrt source file 2025-12-04T08:33:45.6966517Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/map/grouping.py::BatcherMapDataPipe:0 2025-12-04T08:33:45.6969498Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/map/utils.py::SequenceWrapperMapDataPipe:0, line 29 <- wrt source file 2025-12-04T08:33:45.6972692Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/map/utils.py::SequenceWrapperMapDataPipe:0 2025-12-04T08:33:45.6975741Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0, line 37 <- wrt source file 2025-12-04T08:33:45.6978669Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0 2025-12-04T08:33:45.6981507Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0, line 47 <- wrt source file 2025-12-04T08:33:45.6984348Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0 2025-12-04T08:33:45.6987054Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0, line 439 <- wrt source file 2025-12-04T08:33:45.9280055Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0 2025-12-04T08:33:45.9281507Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0, line 535 <- wrt source file 2025-12-04T08:33:45.9282941Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0 2025-12-04T08:33:45.9284353Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0, line 217 <- wrt source file 2025-12-04T08:33:45.9285786Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0 2025-12-04T08:33:45.9287216Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0, line 322 <- wrt source file 2025-12-04T08:33:45.9288676Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0 2025-12-04T08:33:45.9290308Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0, line 370 <- wrt source file 2025-12-04T08:33:45.9291778Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0 2025-12-04T08:33:45.9293261Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0, line 402 <- wrt source file 2025-12-04T08:33:45.9294726Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0 2025-12-04T08:33:45.9296144Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0, line 450 <- wrt source file 2025-12-04T08:33:45.9297592Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0 2025-12-04T08:33:45.9299025Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0, line 489 <- wrt source file 2025-12-04T08:33:45.9300509Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0 2025-12-04T08:33:45.9301986Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0, line 542 <- wrt source file 2025-12-04T08:33:45.9304211Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0 2025-12-04T08:33:45.9305674Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0, line 608 <- wrt source file 2025-12-04T08:33:45.9307120Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0 2025-12-04T08:33:45.9308551Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0, line 657 <- wrt source file 2025-12-04T08:33:45.9310485Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0 2025-12-04T08:33:45.9312700Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0, line 820 <- wrt source file 2025-12-04T08:33:45.9314738Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0 2025-12-04T08:33:45.9316957Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0, line 887 <- wrt source file 2025-12-04T08:33:45.9319570Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0 2025-12-04T08:33:45.9321640Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0, line 998 <- wrt source file 2025-12-04T08:33:45.9323969Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0 2025-12-04T08:33:45.9325796Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0, line 1072 <- wrt source file 2025-12-04T08:33:45.9327659Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0 2025-12-04T08:33:45.9329896Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0, line 1093 <- wrt source file 2025-12-04T08:33:45.9331665Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0 2025-12-04T08:33:45.9333377Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0, line 1118 <- wrt source file 2025-12-04T08:33:45.9335067Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0 2025-12-04T08:33:45.9336536Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0, line 1164 <- wrt source file 2025-12-04T08:33:45.9337982Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0 2025-12-04T08:33:45.9338719Z ============ 2025-12-04T08:33:45.9338997Z Finished doctests 2025-12-04T08:33:45.9339233Z 378 / 894 passed 2025-12-04T08:33:45.9339465Z  2025-12-04T08:33:45.9339769Z === Found 17 parse-time warnings === 2025-12-04T08:33:45.9340199Z --- Parse Warning: 1 / 17 --- 2025-12-04T08:33:45.9341274Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=Library.fallback in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py line=368. 2025-12-04T08:33:45.9342527Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:33:45.9343136Z Registers the function implementation as the fallback for the given key. 2025-12-04T08:33:45.9343586Z 2025-12-04T08:33:45.9343909Z This function only works for a library with global namespace ("_"). 2025-12-04T08:33:45.9344326Z 2025-12-04T08:33:45.9344526Z Args: 2025-12-04T08:33:45.9344936Z fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel` 2025-12-04T08:33:45.9345449Z to register a fallthrough. 2025-12-04T08:33:45.9345997Z dispatch_key: dispatch key that the input function should be registered for. By default, it uses 2025-12-04T08:33:45.9346602Z the dispatch key that the library was created with. 2025-12-04T08:33:45.9347246Z with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument 2025-12-04T08:33:45.9360430Z to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls. 2025-12-04T08:33:45.9360981Z 2025-12-04T08:33:45.9361213Z Example:: 2025-12-04T08:33:45.9361440Z 2025-12-04T08:33:45.9361677Z >>> my_lib = Library("_", "IMPL") 2025-12-04T08:33:45.9362044Z >>> def fallback_kernel(op, *args, **kwargs): 2025-12-04T08:33:45.9362409Z >>> # Handle all autocast ops generically 2025-12-04T08:33:45.9362748Z >>> # ... 2025-12-04T08:33:45.9363068Z >>> my_lib.fallback(fallback_kernel, "Autocast") 2025-12-04T08:33:45.9363398Z 2025-12-04T08:33:45.9364154Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 5, 1, 'my_lib.fallback(fallback_kernel, "Autocast")\n', 5, 7)) 2025-12-04T08:33:45.9364976Z 2025-12-04T08:33:45.9365219Z my_lib.fallback(fallback_kernel, "Autocast") 2025-12-04T08:33:45.9365538Z ^ 2025-12-04T08:33:45.9365752Z warnings.warn(msg) 2025-12-04T08:33:45.9366002Z 2025-12-04T08:33:45.9366375Z --- Parse Warning: 2 / 17 --- 2025-12-04T08:33:45.9367532Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=register_fake in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py line=958. 2025-12-04T08:33:45.9368740Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:33:45.9369376Z Register a FakeTensor implementation ("fake impl") for this operator. 2025-12-04T08:33:45.9369794Z 2025-12-04T08:33:45.9370084Z Also sometimes known as a "meta kernel", "abstract impl". 2025-12-04T08:33:45.9370462Z 2025-12-04T08:33:45.9370800Z An "FakeTensor implementation" specifies the behavior of this operator on 2025-12-04T08:33:45.9371387Z Tensors that carry no data ("FakeTensor"). Given some input Tensors with 2025-12-04T08:33:45.9371960Z certain properties (sizes/strides/storage_offset/device), it specifies 2025-12-04T08:33:45.9372443Z what the properties of the output Tensors are. 2025-12-04T08:33:45.9372980Z 2025-12-04T08:33:45.9373328Z The FakeTensor implementation has the same signature as the operator. 2025-12-04T08:33:45.9373886Z It is run for both FakeTensors and meta tensors. To write a FakeTensor 2025-12-04T08:33:45.9374417Z implementation, assume that all Tensor inputs to the operator are 2025-12-04T08:33:45.9374956Z regular CPU/CUDA/Meta tensors, but they do not have storage, and 2025-12-04T08:33:45.9375483Z you are trying to return regular CPU/CUDA/Meta tensor(s) as output. 2025-12-04T08:33:45.9376023Z The FakeTensor implementation must consist of only PyTorch operations 2025-12-04T08:33:45.9376637Z (and may not directly access the storage or data of any input or 2025-12-04T08:33:45.9377050Z intermediate Tensors). 2025-12-04T08:33:45.9377324Z 2025-12-04T08:33:45.9377577Z This API may be used as a decorator (see examples). 2025-12-04T08:33:45.9377929Z 2025-12-04T08:33:45.9378181Z For a detailed guide on custom ops, please see 2025-12-04T08:33:45.9378778Z https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html 2025-12-04T08:33:45.9379213Z 2025-12-04T08:33:45.9379413Z Args: 2025-12-04T08:33:45.9379752Z op_name: Operator name (along with the overload) or OpOverload object. 2025-12-04T08:33:45.9380216Z func: Fake tensor implementation. 2025-12-04T08:33:45.9380642Z lib (Optional[Library]): Library to register the fake tensor to. 2025-12-04T08:33:45.9381138Z allow_override: Flag controlling if we want to override an 2025-12-04T08:33:45.9381598Z existing registered fake impl. This is by default off, 2025-12-04T08:33:45.9382132Z and will error you're trying to register a fake impl to 2025-12-04T08:33:45.9382603Z an operator that already has a fake impl. This also only 2025-12-04T08:33:45.9383046Z applies if the custom operator was not created via 2025-12-04T08:33:45.9383519Z torch.library.custom_op, as overriding and existing fake 2025-12-04T08:33:45.9383953Z impl is already allowed. 2025-12-04T08:33:45.9384264Z 2025-12-04T08:33:45.9384454Z Examples: 2025-12-04T08:33:45.9384693Z >>> import torch 2025-12-04T08:33:45.9384972Z >>> import numpy as np 2025-12-04T08:33:45.9385261Z >>> from torch import Tensor 2025-12-04T08:33:45.9385561Z >>> 2025-12-04T08:33:45.9385879Z >>> # Example 1: an operator without data-dependent output shape 2025-12-04T08:33:45.9386395Z >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=()) 2025-12-04T08:33:45.9386945Z >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-12-04T08:33:45.9387464Z >>> raise NotImplementedError("Implementation goes here") 2025-12-04T08:33:45.9387847Z >>> 2025-12-04T08:33:45.9388183Z >>> @torch.library.register_fake("mylib::custom_linear") 2025-12-04T08:33:45.9388569Z >>> def _(x, weight, bias): 2025-12-04T08:33:45.9388880Z >>> assert x.dim() == 2 2025-12-04T08:33:45.9389187Z >>> assert weight.dim() == 2 2025-12-04T08:33:45.9389559Z >>> assert bias.dim() == 1 2025-12-04T08:33:45.9389902Z >>> assert x.shape[1] == weight.shape[1] 2025-12-04T08:33:45.9390259Z >>> assert weight.shape[0] == bias.shape[0] 2025-12-04T08:33:45.9390625Z >>> assert x.device == weight.device 2025-12-04T08:33:45.9390942Z >>> 2025-12-04T08:33:45.9391177Z >>> return (x @ weight.t()) + bias 2025-12-04T08:33:45.9391486Z >>> 2025-12-04T08:33:45.9391793Z >>> with torch._subclasses.fake_tensor.FakeTensorMode(): 2025-12-04T08:33:45.9392185Z >>> x = torch.randn(2, 3) 2025-12-04T08:33:45.9392487Z >>> w = torch.randn(3, 3) 2025-12-04T08:33:45.9392800Z >>> b = torch.randn(3) 2025-12-04T08:33:45.9393141Z >>> y = torch.ops.mylib.custom_linear(x, w, b) 2025-12-04T08:33:45.9393465Z >>> 2025-12-04T08:33:45.9393704Z >>> assert y.shape == (2, 3) 2025-12-04T08:33:45.9394001Z >>> 2025-12-04T08:33:45.9394292Z >>> # Example 2: an operator with data-dependent output shape 2025-12-04T08:33:45.9394807Z >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=()) 2025-12-04T08:33:45.9395274Z >>> def custom_nonzero(x: Tensor) -> Tensor: 2025-12-04T08:33:45.9395661Z >>> x_np = x.numpy(force=True) 2025-12-04T08:33:45.9396005Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-12-04T08:33:45.9396390Z >>> return torch.tensor(res, device=x.device) 2025-12-04T08:33:45.9396727Z >>> 2025-12-04T08:33:45.9397021Z >>> @torch.library.register_fake("mylib::custom_nonzero") 2025-12-04T08:33:45.9397403Z >>> def _(x): 2025-12-04T08:33:45.9397804Z >>> # Number of nonzero-elements is data-dependent. 2025-12-04T08:33:45.9398219Z >>> # Since we cannot peek at the data in an fake impl, 2025-12-04T08:33:45.9398650Z >>> # we use the ctx object to construct a new symint that 2025-12-04T08:33:45.9399054Z >>> # represents the data-dependent size. 2025-12-04T08:33:45.9399419Z >>> ctx = torch.library.get_ctx() 2025-12-04T08:33:45.9399755Z >>> nnz = ctx.new_dynamic_size() 2025-12-04T08:33:45.9400091Z >>> shape = [nnz, x.dim()] 2025-12-04T08:33:45.9400491Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-12-04T08:33:45.9400839Z >>> return result 2025-12-04T08:33:45.9401113Z >>> 2025-12-04T08:33:45.9401494Z >>> from torch.fx.experimental.proxy_tensor import make_fx 2025-12-04T08:33:45.9401866Z >>> 2025-12-04T08:33:45.9402125Z >>> x = torch.tensor([0, 1, 2, 3, 4, 0]) 2025-12-04T08:33:45.9402591Z >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x) 2025-12-04T08:33:45.9403067Z >>> trace.print_readable() 2025-12-04T08:33:45.9403353Z >>> 2025-12-04T08:33:45.9403706Z >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x)) 2025-12-04T08:33:45.9404128Z 2025-12-04T08:33:45.9404383Z 2025-12-04T08:33:45.9405035Z Original Error: IndentationError('expected an indented block after function definition on line 37', ('', 38, 1, '_._ = None\n', 38, 2)) 2025-12-04T08:33:45.9405765Z 2025-12-04T08:33:45.9405949Z _._ = None 2025-12-04T08:33:45.9406165Z ^ 2025-12-04T08:33:45.9406382Z warnings.warn(msg) 2025-12-04T08:33:45.9406621Z 2025-12-04T08:33:45.9406971Z --- Parse Warning: 3 / 17 --- 2025-12-04T08:33:45.9408077Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=get_kernel in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py line=1530. 2025-12-04T08:33:45.9409263Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:33:45.9409857Z Returns the computed kernel for a given operator and dispatch key. 2025-12-04T08:33:45.9410276Z 2025-12-04T08:33:45.9410595Z This function retrieves the kernel that would be executed for a given 2025-12-04T08:33:45.9411164Z operator and dispatch key combination. The returned SafeKernelFunction 2025-12-04T08:33:45.9411716Z can be used to call the kernel in a boxed fashion. The intended use 2025-12-04T08:33:45.9412225Z case for this function is to retrieve the original kernel for a given 2025-12-04T08:33:45.9412776Z dispatch key and then register another kernel to the same dispatch key 2025-12-04T08:33:45.9413281Z that calls into the original kernel for certain cases. 2025-12-04T08:33:45.9413645Z 2025-12-04T08:33:45.9413829Z Args: 2025-12-04T08:33:45.9414154Z op: Operator name (along with the overload) or OpOverload object 2025-12-04T08:33:45.9414700Z Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef. 2025-12-04T08:33:45.9415282Z dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for. 2025-12-04T08:33:45.9415842Z Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value. 2025-12-04T08:33:45.9416229Z 2025-12-04T08:33:45.9416455Z Returns: 2025-12-04T08:33:45.9416820Z torch._C._SafeKernelFunction: A safe kernel function that can be used to 2025-12-04T08:33:45.9417273Z call the kernel. 2025-12-04T08:33:45.9417539Z 2025-12-04T08:33:45.9417717Z Raises: 2025-12-04T08:33:45.9417997Z RuntimeError: If the operator does not exist. 2025-12-04T08:33:45.9418340Z 2025-12-04T08:33:45.9418530Z Example: 2025-12-04T08:33:45.9418786Z >>> # Get the CPU kernel for torch.add 2025-12-04T08:33:45.9419210Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU") 2025-12-04T08:33:45.9419588Z >>> 2025-12-04T08:33:45.9419840Z >>> # You can also use DispatchKey enum 2025-12-04T08:33:45.9420327Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU) 2025-12-04T08:33:45.9420787Z >>> 2025-12-04T08:33:45.9421020Z >>> # Or use an OpOverload directly 2025-12-04T08:33:45.9421469Z >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU") 2025-12-04T08:33:45.9421928Z >>> 2025-12-04T08:33:45.9422258Z >>> # Example: Using get_kernel in a custom op with conditional dispatch 2025-12-04T08:33:45.9422714Z >>> # Get the original kernel for torch.sin 2025-12-04T08:33:45.9423167Z >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU") 2025-12-04T08:33:45.9423591Z >>> 2025-12-04T08:33:45.9423934Z >>> # If input has negative values, use original sin, otherwise return zeros 2025-12-04T08:33:45.9424421Z >>> def conditional_sin_impl(dispatch_keys, x): 2025-12-04T08:33:45.9424777Z >>> if (x < 0).any(): 2025-12-04T08:33:45.9425148Z >>> return original_sin_kernel.call_boxed(dispatch_keys, x) 2025-12-04T08:33:45.9425537Z >>> else: 2025-12-04T08:33:45.9425814Z >>> return torch.zeros_like(x) 2025-12-04T08:33:45.9426114Z >>> 2025-12-04T08:33:45.9426381Z >>> lib = torch.library.Library("aten", "IMPL") 2025-12-04T08:33:45.9426886Z >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet 2025-12-04T08:33:45.9427447Z >>> which needs to be the first argument to ``kernel.call_boxed`` 2025-12-04T08:33:45.9427973Z >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True) 2025-12-04T08:33:45.9428364Z >>> 2025-12-04T08:33:45.9428609Z >>> # Test the conditional behavior 2025-12-04T08:33:45.9428946Z >>> x_positive = torch.tensor([1.0, 2.0]) 2025-12-04T08:33:45.9429323Z >>> x_mixed = torch.tensor([-1.0, 2.0]) 2025-12-04T08:33:45.9429654Z >>> torch.sin(x_positive) 2025-12-04T08:33:45.9429943Z tensor([0., 0.]) 2025-12-04T08:33:45.9430216Z >>> torch.sin(x_mixed) 2025-12-04T08:33:45.9430507Z tensor([-0.8415, 0.9093]) 2025-12-04T08:33:45.9430790Z 2025-12-04T08:33:45.9431377Z Original Error: SyntaxError('invalid syntax', ('', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n', 23, 12)) 2025-12-04T08:33:45.9432054Z 2025-12-04T08:33:45.9432353Z which needs to be the first argument to ``kernel.call_boxed`` 2025-12-04T08:33:45.9432719Z ^ 2025-12-04T08:33:45.9432937Z warnings.warn(msg) 2025-12-04T08:33:45.9433184Z 2025-12-04T08:33:45.9433480Z --- Parse Warning: 4 / 17 --- 2025-12-04T08:33:45.9434606Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=is_available in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/accelerator/__init__.py line=70. 2025-12-04T08:33:45.9435855Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:33:45.9436469Z Check if the current accelerator is available at runtime: it was build, all the 2025-12-04T08:33:45.9437085Z required drivers are available and at least one device is visible. 2025-12-04T08:33:45.9437564Z See :ref:`accelerator` for details. 2025-12-04T08:33:45.9438036Z 2025-12-04T08:33:45.9438238Z Returns: 2025-12-04T08:33:45.9438635Z bool: A boolean indicating if there is an available :ref:`accelerator`. 2025-12-04T08:33:45.9439110Z 2025-12-04T08:33:45.9439473Z .. note:: This API delegates to the device-specific version of `is_available`. 2025-12-04T08:33:45.9440083Z On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set, 2025-12-04T08:33:45.9440714Z this function will NOT poison fork. Otherwise, it will. For more details, see 2025-12-04T08:33:45.9441239Z :ref:`multiprocessing-poison-fork-note`. 2025-12-04T08:33:45.9441578Z 2025-12-04T08:33:45.9441772Z Example:: 2025-12-04T08:33:45.9441996Z 2025-12-04T08:33:45.9442372Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T08:33:45.9442865Z 2025-12-04T08:33:45.9443544Z Original Error: SyntaxError('invalid syntax', ('', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78)) 2025-12-04T08:33:45.9444298Z 2025-12-04T08:33:45.9444657Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T08:33:45.9445133Z ^ 2025-12-04T08:33:45.9445444Z warnings.warn(msg) 2025-12-04T08:33:45.9445682Z 2025-12-04T08:33:45.9445991Z --- Parse Warning: 5 / 17 --- 2025-12-04T08:33:45.9447133Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=synchronize in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/accelerator/__init__.py line=239. 2025-12-04T08:33:45.9448383Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:33:45.9448948Z Wait for all kernels in all streams on the given device to complete. 2025-12-04T08:33:45.9449351Z 2025-12-04T08:33:45.9449543Z Args: 2025-12-04T08:33:45.9449969Z device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match 2025-12-04T08:33:45.9450651Z the current :ref:`accelerator` device type. If not given, 2025-12-04T08:33:45.9451190Z use :func:`torch.accelerator.current_device_index` by default. 2025-12-04T08:33:45.9451583Z 2025-12-04T08:33:45.9452019Z .. note:: This function is a no-op if the current :ref:`accelerator` is not initialized. 2025-12-04T08:33:45.9452528Z 2025-12-04T08:33:45.9452728Z Example:: 2025-12-04T08:33:45.9452936Z 2025-12-04T08:33:45.9453190Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-12-04T08:33:45.9453705Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T08:33:45.9454241Z >>> start_event = torch.Event(enable_timing=True) 2025-12-04T08:33:45.9454620Z >>> end_event = torch.Event(enable_timing=True) 2025-12-04T08:33:45.9454970Z >>> start_event.record() 2025-12-04T08:33:45.9455413Z >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator()) 2025-12-04T08:33:45.9455867Z >>> sum = torch.sum(tensor) 2025-12-04T08:33:45.9456177Z >>> end_event.record() 2025-12-04T08:33:45.9456496Z >>> torch.accelerator.synchronize() 2025-12-04T08:33:45.9456889Z >>> elapsed_time_ms = start_event.elapsed_time(end_event) 2025-12-04T08:33:45.9457256Z 2025-12-04T08:33:45.9457925Z Original Error: SyntaxError('invalid syntax', ('', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78)) 2025-12-04T08:33:45.9458673Z 2025-12-04T08:33:45.9459063Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T08:33:45.9459540Z ^ 2025-12-04T08:33:45.9459848Z warnings.warn(msg) 2025-12-04T08:33:45.9460117Z 2025-12-04T08:33:45.9460409Z --- Parse Warning: 6 / 17 --- 2025-12-04T08:33:45.9461472Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=cudart in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/__init__.py line=448. 2025-12-04T08:33:45.9462666Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:33:45.9463137Z Retrieves the CUDA runtime API module. 2025-12-04T08:33:45.9463440Z 2025-12-04T08:33:45.9463630Z 2025-12-04T08:33:45.9463977Z This function initializes the CUDA runtime environment if it is not already 2025-12-04T08:33:45.9464575Z initialized and returns the CUDA runtime API module (_cudart). The CUDA 2025-12-04T08:33:45.9465174Z runtime API module provides access to various CUDA runtime functions. 2025-12-04T08:33:45.9465585Z 2025-12-04T08:33:45.9465778Z Args: 2025-12-04T08:33:45.9465989Z ``None`` 2025-12-04T08:33:45.9466202Z 2025-12-04T08:33:45.9466400Z Returns: 2025-12-04T08:33:45.9466679Z module: The CUDA runtime API module (_cudart). 2025-12-04T08:33:45.9467015Z 2025-12-04T08:33:45.9467194Z Raises: 2025-12-04T08:33:45.9467554Z RuntimeError: If CUDA cannot be re-initialized in a forked subprocess. 2025-12-04T08:33:45.9468261Z AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable. 2025-12-04T08:33:45.9468803Z 2025-12-04T08:33:45.9469044Z Example of CUDA operations with profiling: 2025-12-04T08:33:45.9469382Z >>> import torch 2025-12-04T08:33:45.9469679Z >>> from torch.cuda import cudart, check_error 2025-12-04T08:33:45.9470020Z >>> import os 2025-12-04T08:33:45.9470264Z >>> 2025-12-04T08:33:45.9470496Z >>> os.environ["CUDA_PROFILE"] = "1" 2025-12-04T08:33:45.9470805Z >>> 2025-12-04T08:33:45.9471072Z >>> def perform_cuda_operations_with_streams(): 2025-12-04T08:33:45.9471439Z >>> stream = torch.cuda.Stream() 2025-12-04T08:33:45.9471803Z >>> with torch.cuda.stream(stream): 2025-12-04T08:33:45.9472165Z >>> x = torch.randn(100, 100, device='cuda') 2025-12-04T08:33:45.9472696Z >>> y = torch.randn(100, 100, device='cuda') 2025-12-04T08:33:45.9473038Z >>> z = torch.mul(x, y) 2025-12-04T08:33:45.9473416Z >>> return z 2025-12-04T08:33:45.9473680Z >>> 2025-12-04T08:33:45.9473910Z >>> torch.cuda.synchronize() 2025-12-04T08:33:45.9474260Z >>> print("====== Start nsys profiling ======") 2025-12-04T08:33:45.9474649Z >>> check_error(cudart().cudaProfilerStart()) 2025-12-04T08:33:45.9475040Z >>> with torch.autograd.profiler.emit_nvtx(): 2025-12-04T08:33:45.9475431Z >>> result = perform_cuda_operations_with_streams() 2025-12-04T08:33:45.9475821Z >>> print("CUDA operations completed.") 2025-12-04T08:33:45.9476217Z >>> check_error(torch.cuda.cudart().cudaProfilerStop()) 2025-12-04T08:33:45.9476612Z >>> print("====== End nsys profiling ======") 2025-12-04T08:33:45.9476932Z 2025-12-04T08:33:45.9477240Z To run this example and save the profiling information, execute: 2025-12-04T08:33:45.9477992Z >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-12-04T08:33:45.9478550Z 2025-12-04T08:33:45.9478891Z This command profiles the CUDA operations in the provided script and saves 2025-12-04T08:33:45.9479452Z the profiling information to a file named `trace_name.prof`. 2025-12-04T08:33:45.9480040Z The `--profile-from-start off` option ensures that profiling starts only 2025-12-04T08:33:45.9480538Z after the `cudaProfilerStart` call in the script. 2025-12-04T08:33:45.9481007Z The `--csv` and `--print-summary` options format the profiling output as a 2025-12-04T08:33:45.9481483Z CSV file and print a summary, respectively. 2025-12-04T08:33:45.9481975Z The `-o` option specifies the output file name, and the `-f` option forces the 2025-12-04T08:33:45.9482479Z overwrite of the output file if it already exists. 2025-12-04T08:33:45.9482829Z 2025-12-04T08:33:45.9483598Z Original Error: SyntaxError('invalid syntax', ('', 1, 1, '$ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py\n', 1, 2)) 2025-12-04T08:33:45.9484431Z 2025-12-04T08:33:45.9484874Z $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-12-04T08:33:45.9485467Z ^ 2025-12-04T08:33:45.9485681Z warnings.warn(msg) 2025-12-04T08:33:45.9485918Z 2025-12-04T08:33:45.9486232Z --- Parse Warning: 7 / 17 --- 2025-12-04T08:33:45.9487296Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=vmap in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/apis.py line=39. 2025-12-04T08:33:45.9488470Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:33:45.9488914Z 2025-12-04T08:33:45.9489245Z vmap is the vectorizing map; ``vmap(func)`` returns a new function that 2025-12-04T08:33:45.9489782Z maps ``func`` over some dimension of the inputs. Semantically, vmap 2025-12-04T08:33:45.9490305Z pushes the map into PyTorch operations called by ``func``, effectively 2025-12-04T08:33:45.9490749Z vectorizing those operations. 2025-12-04T08:33:45.9491034Z 2025-12-04T08:33:45.9491348Z vmap is useful for handling batch dimensions: one can write a function 2025-12-04T08:33:45.9491883Z ``func`` that runs on examples and then lift it to a function that can 2025-12-04T08:33:45.9492413Z take batches of examples with ``vmap(func)``. vmap can also be used to 2025-12-04T08:33:45.9492918Z compute batched gradients when composed with autograd. 2025-12-04T08:33:45.9493267Z 2025-12-04T08:33:45.9493511Z .. note:: 2025-12-04T08:33:45.9493826Z :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for 2025-12-04T08:33:45.9494244Z convenience. Use whichever one you'd like. 2025-12-04T08:33:45.9494568Z 2025-12-04T08:33:45.9494765Z Args: 2025-12-04T08:33:45.9495110Z func (function): A Python function that takes one or more arguments. 2025-12-04T08:33:45.9495550Z Must return one or more Tensors. 2025-12-04T08:33:45.9495970Z in_dims (int or nested structure): Specifies which dimension of the 2025-12-04T08:33:45.9496449Z inputs should be mapped over. ``in_dims`` should have a 2025-12-04T08:33:45.9496931Z structure like the inputs. If the ``in_dim`` for a particular 2025-12-04T08:33:45.9497423Z input is None, then that indicates there is no map dimension. 2025-12-04T08:33:45.9497820Z Default: 0. 2025-12-04T08:33:45.9498159Z out_dims (int or Tuple[int]): Specifies where the mapped dimension 2025-12-04T08:33:45.9498667Z should appear in the outputs. If ``out_dims`` is a Tuple, then 2025-12-04T08:33:45.9499131Z it should have one element per output. Default: 0. 2025-12-04T08:33:45.9499570Z randomness (str): Specifies whether the randomness in this 2025-12-04T08:33:45.9500073Z vmap should be the same or different across batches. If 'different', 2025-12-04T08:33:45.9500595Z the randomness for each batch will be different. If 'same', the 2025-12-04T08:33:45.9501122Z randomness will be the same across batches. If 'error', any calls to 2025-12-04T08:33:45.9501679Z random functions will error. Default: 'error'. WARNING: this flag 2025-12-04T08:33:45.9502207Z only applies to random PyTorch operations and does not apply to 2025-12-04T08:33:45.9502662Z Python's random module or numpy randomness. 2025-12-04T08:33:45.9503117Z chunk_size (None or int): If None (default), apply a single vmap over inputs. 2025-12-04T08:33:45.9503680Z If not None, then compute the vmap :attr:`chunk_size` samples at a time. 2025-12-04T08:33:45.9504277Z Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop. 2025-12-04T08:33:45.9504923Z If you run into memory issues computing the vmap, please try a non-None chunk_size. 2025-12-04T08:33:45.9505376Z 2025-12-04T08:33:45.9505570Z Returns: 2025-12-04T08:33:45.9505885Z Returns a new "batched" function. It takes the same inputs as 2025-12-04T08:33:45.9506356Z ``func``, except each input has an extra dimension at the index 2025-12-04T08:33:45.9506882Z specified by ``in_dims``. It takes returns the same outputs as 2025-12-04T08:33:45.9507371Z ``func``, except each output has an extra dimension at the index 2025-12-04T08:33:45.9507782Z specified by ``out_dims``. 2025-12-04T08:33:45.9508056Z 2025-12-04T08:33:45.9508251Z .. warning: 2025-12-04T08:33:45.9508594Z :func:`vmap` works best with functional-style code. Please do not 2025-12-04T08:33:45.9509097Z perform any side-effects in ``func``, with the exception of 2025-12-04T08:33:45.9509614Z in-place PyTorch operations. Examples of side-effects include mutating 2025-12-04T08:33:45.9510198Z Python data structures and assigning values to variables not captured 2025-12-04T08:33:45.9510630Z in ``func``. 2025-12-04T08:33:45.9510858Z 2025-12-04T08:33:45.9511192Z One example of using :func:`vmap` is to compute batched dot products. PyTorch 2025-12-04T08:33:45.9511770Z doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully 2025-12-04T08:33:45.9512328Z rummaging through docs, use :func:`vmap` to construct a new function. 2025-12-04T08:33:45.9512731Z 2025-12-04T08:33:45.9512951Z >>> torch.dot # [D], [D] -> [] 2025-12-04T08:33:45.9513367Z >>> batched_dot = torch.func.vmap(torch.dot) # [N, D], [N, D] -> [N] 2025-12-04T08:33:45.9513832Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-12-04T08:33:45.9514178Z >>> batched_dot(x, y) 2025-12-04T08:33:45.9514444Z 2025-12-04T08:33:45.9514779Z :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler 2025-12-04T08:33:45.9515266Z model authoring experience. 2025-12-04T08:33:45.9515542Z 2025-12-04T08:33:45.9515765Z >>> batch_size, feature_size = 3, 5 2025-12-04T08:33:45.9516143Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-12-04T08:33:45.9516509Z >>> 2025-12-04T08:33:45.9516731Z >>> def model(feature_vec): 2025-12-04T08:33:45.9517056Z >>> # Very simple linear model with activation 2025-12-04T08:33:45.9517423Z >>> return feature_vec.dot(weights).relu() 2025-12-04T08:33:45.9517829Z >>> 2025-12-04T08:33:45.9518087Z >>> examples = torch.randn(batch_size, feature_size) 2025-12-04T08:33:45.9518469Z >>> result = torch.vmap(model)(examples) 2025-12-04T08:33:45.9518783Z 2025-12-04T08:33:45.9519140Z :func:`vmap` can also help vectorize computations that were previously difficult 2025-12-04T08:33:45.9519725Z or impossible to batch. One example is higher-order gradient computation. 2025-12-04T08:33:45.9520301Z The PyTorch autograd engine computes vjps (vector-Jacobian products). 2025-12-04T08:33:45.9520869Z Computing a full Jacobian matrix for some function f: R^N -> R^N usually 2025-12-04T08:33:45.9521447Z requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`, 2025-12-04T08:33:45.9522043Z we can vectorize the whole computation, computing the Jacobian in a single 2025-12-04T08:33:45.9522534Z call to ``autograd.grad``. 2025-12-04T08:33:45.9522796Z 2025-12-04T08:33:45.9522978Z >>> # Setup 2025-12-04T08:33:45.9523201Z >>> N = 5 2025-12-04T08:33:45.9523428Z >>> f = lambda x: x**2 2025-12-04T08:33:45.9523711Z >>> x = torch.randn(N, requires_grad=True) 2025-12-04T08:33:45.9524028Z >>> y = f(x) 2025-12-04T08:33:45.9524267Z >>> I_N = torch.eye(N) 2025-12-04T08:33:45.9524511Z >>> 2025-12-04T08:33:45.9524727Z >>> # Sequential approach 2025-12-04T08:33:45.9525124Z >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0] 2025-12-04T08:33:45.9525558Z >>> for v in I_N.unbind()] 2025-12-04T08:33:45.9525898Z >>> jacobian = torch.stack(jacobian_rows) 2025-12-04T08:33:45.9526204Z >>> 2025-12-04T08:33:45.9526420Z >>> # vectorized gradient computation 2025-12-04T08:33:45.9526732Z >>> def get_vjp(v): 2025-12-04T08:33:45.9527052Z >>> return torch.autograd.grad(y, x, v) 2025-12-04T08:33:45.9527395Z >>> jacobian = torch.vmap(get_vjp)(I_N) 2025-12-04T08:33:45.9527691Z 2025-12-04T08:33:45.9528056Z :func:`vmap` can also be nested, producing an output with multiple batched dimensions 2025-12-04T08:33:45.9528513Z 2025-12-04T08:33:45.9528706Z >>> torch.dot # [D], [D] -> [] 2025-12-04T08:33:45.9529013Z >>> batched_dot = torch.vmap( 2025-12-04T08:33:45.9529313Z ... torch.vmap(torch.dot) 2025-12-04T08:33:45.9529614Z ... ) # [N1, N0, D], [N1, N0, D] -> [N1, N0] 2025-12-04T08:33:45.9529977Z >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5) 2025-12-04T08:33:45.9530346Z >>> batched_dot(x, y) # tensor of size [2, 3] 2025-12-04T08:33:45.9530647Z 2025-12-04T08:33:45.9530991Z If the inputs are not batched along the first dimension, ``in_dims`` specifies 2025-12-04T08:33:45.9531490Z the dimension that each inputs are batched along as 2025-12-04T08:33:45.9531829Z 2025-12-04T08:33:45.9532026Z >>> torch.dot # [N], [N] -> [] 2025-12-04T08:33:45.9532440Z >>> batched_dot = torch.vmap(torch.dot, in_dims=1) # [N, D], [N, D] -> [D] 2025-12-04T08:33:45.9532891Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-12-04T08:33:45.9533199Z >>> batched_dot( 2025-12-04T08:33:45.9533459Z ... x, y 2025-12-04T08:33:45.9533776Z ... ) # output is [5] instead of [2] if batched along the 0th dimension 2025-12-04T08:33:45.9534144Z 2025-12-04T08:33:45.9534491Z If there are multiple inputs each of which is batched along different dimensions, 2025-12-04T08:33:45.9535077Z ``in_dims`` must be a tuple with the batch dimension for each input as 2025-12-04T08:33:45.9535453Z 2025-12-04T08:33:45.9535642Z >>> torch.dot # [D], [D] -> [] 2025-12-04T08:33:45.9536063Z >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None)) # [N, D], [D] -> [N] 2025-12-04T08:33:45.9536523Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-12-04T08:33:45.9536824Z >>> batched_dot( 2025-12-04T08:33:45.9537054Z ... x, y 2025-12-04T08:33:45.9537372Z ... ) # second arg doesn't have a batch dim because in_dim[1] was None 2025-12-04T08:33:45.9537738Z 2025-12-04T08:33:45.9538064Z If the input is a Python struct, ``in_dims`` must be a tuple containing a struct 2025-12-04T08:33:45.9538508Z matching the shape of the input: 2025-12-04T08:33:45.9538774Z 2025-12-04T08:33:45.9539002Z >>> f = lambda dict: torch.dot(dict["x"], dict["y"]) 2025-12-04T08:33:45.9539359Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-12-04T08:33:45.9539682Z >>> input = {"x": x, "y": y} 2025-12-04T08:33:45.9540032Z >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},)) 2025-12-04T08:33:45.9540413Z >>> batched_dot(input) 2025-12-04T08:33:45.9540664Z 2025-12-04T08:33:45.9541020Z By default, the output is batched along the first dimension. However, it can be batched 2025-12-04T08:33:45.9541554Z along any dimension by using ``out_dims`` 2025-12-04T08:33:45.9541856Z 2025-12-04T08:33:45.9542038Z >>> f = lambda x: x**2 2025-12-04T08:33:45.9542308Z >>> x = torch.randn(2, 5) 2025-12-04T08:33:45.9542622Z >>> batched_pow = torch.vmap(f, out_dims=1) 2025-12-04T08:33:45.9542946Z >>> batched_pow(x) # [5, 2] 2025-12-04T08:33:45.9543221Z 2025-12-04T08:33:45.9543620Z For any function that uses kwargs, the returned function will not batch the kwargs but will 2025-12-04T08:33:45.9544117Z accept kwargs 2025-12-04T08:33:45.9544320Z 2025-12-04T08:33:45.9544529Z >>> x = torch.randn([2, 5]) 2025-12-04T08:33:45.9544821Z >>> def fn(x, scale=4.): 2025-12-04T08:33:45.9545086Z >>> return x * scale 2025-12-04T08:33:45.9545339Z >>> 2025-12-04T08:33:45.9545563Z >>> batched_pow = torch.vmap(fn) 2025-12-04T08:33:45.9545903Z >>> assert torch.allclose(batched_pow(x), x * 4) 2025-12-04T08:33:45.9546402Z >>> batched_pow(x, scale=x) # scale is not batched, output has shape [2, 2, 5] 2025-12-04T08:33:45.9546822Z 2025-12-04T08:33:45.9547003Z .. note:: 2025-12-04T08:33:45.9547351Z vmap does not provide general autobatching or handle variable-length 2025-12-04T08:33:45.9547784Z sequences out of the box. 2025-12-04T08:33:45.9548046Z 2025-12-04T08:33:45.9548663Z Original Error: IndentationError('expected an indented block after function definition on line 4', ('', 5, 1, '_._ = None\n', 5, 2)) 2025-12-04T08:33:45.9549363Z 2025-12-04T08:33:45.9549552Z _._ = None 2025-12-04T08:33:45.9549755Z ^ 2025-12-04T08:33:45.9549963Z warnings.warn(msg) 2025-12-04T08:33:45.9550206Z 2025-12-04T08:33:45.9550509Z --- Parse Warning: 8 / 17 --- 2025-12-04T08:33:45.9551583Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=grad in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/apis.py line=306. 2025-12-04T08:33:45.9552798Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:33:45.9553402Z ``grad`` operator helps computing gradients of ``func`` with respect to the 2025-12-04T08:33:45.9553985Z input(s) specified by ``argnums``. This operator can be nested to 2025-12-04T08:33:45.9554415Z compute higher-order gradients. 2025-12-04T08:33:45.9554716Z 2025-12-04T08:33:45.9554897Z Args: 2025-12-04T08:33:45.9555237Z func (Callable): A Python function that takes one or more arguments. 2025-12-04T08:33:45.9555867Z Must return a single-element Tensor. If specified ``has_aux`` equals ``True``, 2025-12-04T08:33:45.9556497Z function can return a tuple of single-element Tensor and other auxiliary objects: 2025-12-04T08:33:45.9556979Z ``(output, aux)``. 2025-12-04T08:33:45.9557457Z argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to. 2025-12-04T08:33:45.9558141Z ``argnums`` can be single integer or tuple of integers. Default: 0. 2025-12-04T08:33:45.9558668Z has_aux (bool): Flag indicating that ``func`` returns a tensor and other 2025-12-04T08:33:45.9559172Z auxiliary objects: ``(output, aux)``. Default: False. 2025-12-04T08:33:45.9559531Z 2025-12-04T08:33:45.9559713Z Returns: 2025-12-04T08:33:45.9560127Z Function to compute gradients with respect to its inputs. By default, the output of 2025-12-04T08:33:45.9560757Z the function is the gradient tensor(s) with respect to the first argument. 2025-12-04T08:33:45.9561379Z If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects 2025-12-04T08:33:45.9561999Z is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with 2025-12-04T08:33:45.9562549Z respect to each ``argnums`` value is returned. 2025-12-04T08:33:45.9562884Z 2025-12-04T08:33:45.9563086Z Example of using ``grad``: 2025-12-04T08:33:45.9563368Z 2025-12-04T08:33:45.9563573Z >>> # xdoctest: +SKIP 2025-12-04T08:33:45.9563864Z >>> from torch.func import grad 2025-12-04T08:33:45.9564183Z >>> x = torch.randn([]) 2025-12-04T08:33:45.9564507Z >>> cos_x = grad(lambda x: torch.sin(x))(x) 2025-12-04T08:33:45.9564870Z >>> assert torch.allclose(cos_x, x.cos()) 2025-12-04T08:33:45.9565177Z >>> 2025-12-04T08:33:45.9565417Z >>> # Second-order gradients 2025-12-04T08:33:45.9565775Z >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x) 2025-12-04T08:33:45.9566155Z >>> assert torch.allclose(neg_sin_x, -x.sin()) 2025-12-04T08:33:45.9566482Z 2025-12-04T08:33:45.9566840Z When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients: 2025-12-04T08:33:45.9567312Z 2025-12-04T08:33:45.9567519Z >>> # xdoctest: +SKIP 2025-12-04T08:33:45.9567833Z >>> from torch.func import grad, vmap 2025-12-04T08:33:45.9568171Z >>> batch_size, feature_size = 3, 5 2025-12-04T08:33:45.9568478Z >>> 2025-12-04T08:33:45.9568728Z >>> def model(weights, feature_vec): 2025-12-04T08:33:45.9569092Z >>> # Very simple linear model with activation 2025-12-04T08:33:45.9569442Z >>> assert feature_vec.dim() == 1 2025-12-04T08:33:45.9569795Z >>> return feature_vec.dot(weights).relu() 2025-12-04T08:33:45.9570121Z >>> 2025-12-04T08:33:45.9570381Z >>> def compute_loss(weights, example, target): 2025-12-04T08:33:45.9570745Z >>> y = model(weights, example) 2025-12-04T08:33:45.9571103Z >>> return ((y - target) ** 2).mean() # MSELoss 2025-12-04T08:33:45.9571420Z >>> 2025-12-04T08:33:45.9571727Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-12-04T08:33:45.9572167Z >>> examples = torch.randn(batch_size, feature_size) 2025-12-04T08:33:45.9572724Z >>> targets = torch.randn(batch_size) 2025-12-04T08:33:45.9573070Z >>> inputs = (weights, examples, targets) 2025-12-04T08:33:45.9573604Z >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))( 2025-12-04T08:33:45.9574051Z ... *inputs 2025-12-04T08:33:45.9574290Z ... ) 2025-12-04T08:33:45.9574511Z 2025-12-04T08:33:45.9574801Z Example of using ``grad`` with ``has_aux`` and ``argnums``: 2025-12-04T08:33:45.9575197Z 2025-12-04T08:33:45.9575408Z >>> # xdoctest: +SKIP 2025-12-04T08:33:45.9575710Z >>> from torch.func import grad 2025-12-04T08:33:45.9576032Z >>> def my_loss_func(y, y_pred): 2025-12-04T08:33:45.9576387Z >>> loss_per_sample = (0.5 * y_pred - y) ** 2 2025-12-04T08:33:45.9576755Z >>> loss = loss_per_sample.mean() 2025-12-04T08:33:45.9577113Z >>> return loss, (y_pred, loss_per_sample) 2025-12-04T08:33:45.9577424Z >>> 2025-12-04T08:33:45.9577703Z >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True) 2025-12-04T08:33:45.9578084Z >>> y_true = torch.rand(4) 2025-12-04T08:33:45.9578417Z >>> y_preds = torch.rand(4, requires_grad=True) 2025-12-04T08:33:45.9578772Z >>> out = fn(y_true, y_preds) 2025-12-04T08:33:45.9579234Z >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample)) 2025-12-04T08:33:45.9579664Z 2025-12-04T08:33:45.9579869Z .. note:: 2025-12-04T08:33:45.9580180Z Using PyTorch ``torch.no_grad`` together with ``grad``. 2025-12-04T08:33:45.9580548Z 2025-12-04T08:33:45.9580799Z Case 1: Using ``torch.no_grad`` inside a function: 2025-12-04T08:33:45.9581145Z 2025-12-04T08:33:45.9581404Z >>> # xdoctest: +SKIP 2025-12-04T08:33:45.9581691Z >>> def f(x): 2025-12-04T08:33:45.9581977Z >>> with torch.no_grad(): 2025-12-04T08:33:45.9582293Z >>> c = x ** 2 2025-12-04T08:33:45.9582580Z >>> return x - c 2025-12-04T08:33:45.9582860Z 2025-12-04T08:33:45.9583167Z In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``. 2025-12-04T08:33:45.9583553Z 2025-12-04T08:33:45.9583842Z Case 2: Using ``grad`` inside ``torch.no_grad`` context manager: 2025-12-04T08:33:45.9584226Z 2025-12-04T08:33:45.9584427Z >>> # xdoctest: +SKIP 2025-12-04T08:33:45.9584734Z >>> with torch.no_grad(): 2025-12-04T08:33:45.9585047Z >>> grad(f)(x) 2025-12-04T08:33:45.9585317Z 2025-12-04T08:33:45.9585632Z In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the 2025-12-04T08:33:45.9586187Z outer one. This is because ``grad`` is a "function transform": its result 2025-12-04T08:33:45.9586790Z should not depend on the result of a context manager outside of ``f``. 2025-12-04T08:33:45.9587194Z 2025-12-04T08:33:45.9587386Z 2025-12-04T08:33:45.9588022Z Original Error: IndentationError('expected an indented block after function definition on line 5', ('', 6, 1, '_._ = None\n', 6, 2)) 2025-12-04T08:33:45.9588719Z 2025-12-04T08:33:45.9588910Z _._ = None 2025-12-04T08:33:45.9589126Z ^ 2025-12-04T08:33:45.9589324Z warnings.warn(msg) 2025-12-04T08:33:45.9589575Z 2025-12-04T08:33:45.9589891Z --- Parse Warning: 9 / 17 --- 2025-12-04T08:33:45.9591080Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=CustomOpDef.register_fake in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/custom_ops.py line=402. 2025-12-04T08:33:45.9592389Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:33:45.9592942Z Register a FakeTensor implementation for this custom op. 2025-12-04T08:33:45.9593312Z 2025-12-04T08:33:45.9593654Z This is necessary to get the operator to work efficiently with torch.compile. 2025-12-04T08:33:45.9594101Z 2025-12-04T08:33:45.9594473Z The Fake impl (sometimes also known as a meta kernel or abstract impl) 2025-12-04T08:33:45.9595040Z specifies the behavior of this operator on Tensors that carry no data. 2025-12-04T08:33:45.9595522Z Given some input Tensors with certain properties 2025-12-04T08:33:45.9596070Z (sizes/strides/storage_offset/device), it specifies what the properties of 2025-12-04T08:33:45.9596557Z the output Tensors are. 2025-12-04T08:33:45.9596831Z 2025-12-04T08:33:45.9597143Z Please see :func:`torch.library.register_fake` for more details. 2025-12-04T08:33:45.9597547Z 2025-12-04T08:33:45.9597820Z Args: 2025-12-04T08:33:45.9598136Z fn (Callable): The function to register as the FakeTensor 2025-12-04T08:33:45.9598530Z implementation. 2025-12-04T08:33:45.9598814Z 2025-12-04T08:33:45.9599002Z Examples: 2025-12-04T08:33:45.9599253Z >>> import torch 2025-12-04T08:33:45.9599544Z >>> import numpy as np 2025-12-04T08:33:45.9599847Z >>> from torch import Tensor 2025-12-04T08:33:45.9600145Z >>> 2025-12-04T08:33:45.9600467Z >>> # Example 1: an operator without data-dependent output shape 2025-12-04T08:33:45.9600955Z >>> @torch.library.custom_op("mylib::linear", mutates_args=()) 2025-12-04T08:33:45.9601449Z >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-12-04T08:33:45.9601880Z >>> return (x @ weight.t()) + bias 2025-12-04T08:33:45.9602195Z >>> 2025-12-04T08:33:45.9602462Z >>> @linear.register_fake 2025-12-04T08:33:45.9602783Z >>> def _(x, weight, bias): 2025-12-04T08:33:45.9603100Z >>> assert x.dim() == 2 2025-12-04T08:33:45.9603413Z >>> assert weight.dim() == 2 2025-12-04T08:33:45.9603750Z >>> assert bias.dim() == 1 2025-12-04T08:33:45.9604109Z >>> assert x.shape[1] == weight.shape[1] 2025-12-04T08:33:45.9604474Z >>> assert weight.shape[0] == bias.shape[0] 2025-12-04T08:33:45.9604845Z >>> assert x.device == weight.device 2025-12-04T08:33:45.9605224Z >>> return x.new_empty(x.size(0), weight.size(0)) 2025-12-04T08:33:45.9605569Z >>> 2025-12-04T08:33:45.9605796Z >>> x = torch.randn(2, 2) 2025-12-04T08:33:45.9606119Z >>> weight = torch.randn(2, 2) 2025-12-04T08:33:45.9606439Z >>> bias = torch.randn(2) 2025-12-04T08:33:45.9606773Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T08:33:45.9607243Z >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias) 2025-12-04T08:33:45.9607684Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T08:33:45.9608167Z >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias)) 2025-12-04T08:33:45.9608616Z >>> 2025-12-04T08:33:45.9608936Z >>> # Example 2: an operator with data-dependent output shape 2025-12-04T08:33:45.9609426Z >>> @torch.library.custom_op("mylib::nonzero", mutates_args=()) 2025-12-04T08:33:45.9609848Z >>> def nonzero(x: Tensor) -> Tensor: 2025-12-04T08:33:45.9610192Z >>> x_np = x.cpu().numpy() 2025-12-04T08:33:45.9610544Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-12-04T08:33:45.9610919Z >>> return torch.tensor(res, device=x.device) 2025-12-04T08:33:45.9611252Z >>> 2025-12-04T08:33:45.9611499Z >>> @nonzero.register_fake 2025-12-04T08:33:45.9611794Z >>> def _(x): 2025-12-04T08:33:45.9612119Z >>> # Number of nonzero-elements is data-dependent. 2025-12-04T08:33:45.9612550Z >>> # Since we cannot peek at the data in an abstract impl, 2025-12-04T08:33:45.9613022Z >>> # we use the ctx object to construct a new symint that 2025-12-04T08:33:45.9613418Z >>> # represents the data-dependent size. 2025-12-04T08:33:45.9613785Z >>> ctx = torch.library.get_ctx() 2025-12-04T08:33:45.9614140Z >>> nnz = ctx.new_dynamic_size() 2025-12-04T08:33:45.9614499Z >>> shape = [nnz, x.dim()] 2025-12-04T08:33:45.9614871Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-12-04T08:33:45.9615242Z >>> return result 2025-12-04T08:33:45.9615533Z >>> 2025-12-04T08:33:45.9615785Z >>> x = torch.tensor([0, 1, 2, 0, 0, 1]) 2025-12-04T08:33:45.9616155Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T08:33:45.9616562Z >>> out = torch.compile(nonzero, fullgraph=True)(x) 2025-12-04T08:33:45.9616952Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T08:33:45.9617341Z >>> assert torch.allclose(out, x.nonzero()) 2025-12-04T08:33:45.9617679Z 2025-12-04T08:33:45.9617860Z 2025-12-04T08:33:45.9618519Z Original Error: IndentationError('expected an indented block after function definition on line 36', ('', 37, 1, '_._ = None\n', 37, 2)) 2025-12-04T08:33:45.9619249Z 2025-12-04T08:33:45.9619448Z _._ = None 2025-12-04T08:33:45.9619652Z ^ 2025-12-04T08:33:45.9619861Z warnings.warn(msg) 2025-12-04T08:33:45.9620109Z 2025-12-04T08:33:45.9620408Z --- Parse Warning: 10 / 17 --- 2025-12-04T08:33:45.9621615Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=unsafe_generate_fake_kernels in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/fake_profile.py line=94. 2025-12-04T08:33:45.9622984Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-12-04T08:33:45.9623437Z 2025-12-04T08:33:45.9623778Z Registers a fake kernel based on the given operator profiles. This fake 2025-12-04T08:33:45.9624366Z kernel registration will override any existing fake kernel registrations. 2025-12-04T08:33:45.9624809Z 2025-12-04T08:33:45.9625122Z The input is a dictionary mapping operator names to a set of operator 2025-12-04T08:33:45.9625684Z profiles, which we will use to generate fake kernels. The operator profiles 2025-12-04T08:33:45.9626236Z are a record of the input and output tensor metadata. Based on this 2025-12-04T08:33:45.9626779Z information we will match a given input to the recorded profile, and return 2025-12-04T08:33:45.9627391Z an output with the same metadata as in the recorded profile. If a profile 2025-12-04T08:33:45.9627878Z doesn't exist then an exception will be thrown. 2025-12-04T08:33:45.9628213Z 2025-12-04T08:33:45.9628537Z The fake kernel generation is considered unsafe because it relies on the 2025-12-04T08:33:45.9629111Z rigid, pre-defined operator profiles that do not account for potential 2025-12-04T08:33:45.9629701Z variations in output behavior. Specifically, the generated kernels assume a 2025-12-04T08:33:45.9630308Z fixed relationship between input and output ranks. However, in reality, it's 2025-12-04T08:33:45.9630915Z possible that data-dependent operations may produce outputs of different 2025-12-04T08:33:45.9631501Z ranks even when given inputs of the same rank. The generated fake kernels 2025-12-04T08:33:45.9632053Z are inflexible and unable to accommodate these nuances, making them 2025-12-04T08:33:45.9632474Z potentially unsafe. 2025-12-04T08:33:45.9632720Z 2025-12-04T08:33:45.9632912Z Args: 2025-12-04T08:33:45.9633235Z op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator 2025-12-04T08:33:45.9633768Z name to a set of operator profiles from which we will generate fake 2025-12-04T08:33:45.9634173Z kernels. 2025-12-04T08:33:45.9634388Z 2025-12-04T08:33:45.9634618Z Examples: 2025-12-04T08:33:45.9634831Z 2025-12-04T08:33:45.9635100Z >>> # Example: Registering an op-profile from draft-export 2025-12-04T08:33:45.9635475Z >>> import torch 2025-12-04T08:33:45.9635804Z >>> from torch.export._draft_export import draft_export 2025-12-04T08:33:45.9636178Z >>> 2025-12-04T08:33:45.9636478Z >>> @torch.library.custom_op("mylib::foo", mutates_args=()) 2025-12-04T08:33:45.9636895Z >>> def foo(x: Tensor, y: Tensor) -> Tensor: 2025-12-04T08:33:45.9637226Z >>> return x + y 2025-12-04T08:33:45.9637472Z >>> 2025-12-04T08:33:45.9637792Z >>> class M(torch.nn.Module): 2025-12-04T08:33:45.9638112Z >>> def forward(self, a, b): 2025-12-04T08:33:45.9638457Z >>> res = torch.ops.mylib.foo(a, b) # no fake impl 2025-12-04T08:33:45.9638813Z >>> return res 2025-12-04T08:33:45.9639074Z >>> 2025-12-04T08:33:45.9639353Z >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4)) 2025-12-04T08:33:45.9639723Z >>> 2025-12-04T08:33:45.9640139Z >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles): 2025-12-04T08:33:45.9640679Z >>> decomp = ep.run_decompositions() 2025-12-04T08:33:45.9640983Z 2025-12-04T08:33:45.9641175Z 2025-12-04T08:33:45.9641757Z Original Error: IncompleteParseError('ill-formed doctest: all parts have been processed but the doctest source is not balanced') 2025-12-04T08:33:45.9642412Z 2025-12-04T08:33:45.9642616Z warnings.warn(msg) 2025-12-04T08:33:45.9642899Z 2025-12-04T08:33:45.9643195Z --- Parse Warning: 11 / 17 --- 2025-12-04T08:33:45.9644609Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=ActivationSparsifier in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py line=16. 2025-12-04T08:33:45.9646152Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:33:45.9646599Z 2025-12-04T08:33:45.9646958Z The Activation sparsifier class aims to sparsify/prune activations in a neural 2025-12-04T08:33:45.9647566Z network. The idea is to attach the sparsifier to a layer (or layers) and it 2025-12-04T08:33:45.9648154Z zeroes out the activations based on the mask_fn (or sparsification function) 2025-12-04T08:33:45.9648600Z input by the user. 2025-12-04T08:33:45.9648979Z The mask_fn is applied once all the inputs are aggregated and reduced i.e. 2025-12-04T08:33:45.9649509Z mask = mask_fn(reduce_fn(aggregate_fn(activations))) 2025-12-04T08:33:45.9649865Z 2025-12-04T08:33:45.9650049Z Note:: 2025-12-04T08:33:45.9650489Z The sparsification mask is computed on the input **before it goes through the attached layer**. 2025-12-04T08:33:45.9651012Z 2025-12-04T08:33:45.9651192Z Args: 2025-12-04T08:33:45.9651410Z model (nn.Module): 2025-12-04T08:33:45.9651804Z The model whose layers will be sparsified. The layers that needs to be 2025-12-04T08:33:45.9652375Z sparsified should be added separately using the register_layer() function 2025-12-04T08:33:45.9652856Z aggregate_fn (Optional, Callable): 2025-12-04T08:33:45.9653340Z default aggregate_fn that is used if not specified while registering the layer. 2025-12-04T08:33:45.9653875Z specifies how inputs should be aggregated over time. 2025-12-04T08:33:45.9654420Z The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor. 2025-12-04T08:33:45.9654919Z Example 2025-12-04T08:33:45.9655237Z def add_agg_fn(tensor1, tensor2): return tensor1 + tensor2 2025-12-04T08:33:45.9655635Z reduce_fn (Optional, Callable): 2025-12-04T08:33:45.9656114Z default reduce_fn that is used if not specified while registering the layer. 2025-12-04T08:33:45.9656763Z reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after 2025-12-04T08:33:45.9657258Z calling agg_fn() on all inputs. 2025-12-04T08:33:45.9657571Z Example 2025-12-04T08:33:45.9657996Z def mean_reduce_fn(agg_tensor): return agg_tensor.mean(dim=0) 2025-12-04T08:33:45.9658429Z mask_fn (Optional, Callable): 2025-12-04T08:33:45.9658951Z default mask_fn that is used to create the sparsification mask using the tensor obtained after 2025-12-04T08:33:45.9659639Z calling the reduce_fn(). This is used by default if a custom one is passed in the 2025-12-04T08:33:45.9660116Z register_layer(). 2025-12-04T08:33:45.9660670Z Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config 2025-12-04T08:33:45.9661231Z arguments. 2025-12-04T08:33:45.9661534Z features (Optional, list): 2025-12-04T08:33:45.9661884Z default selected features to sparsify. 2025-12-04T08:33:45.9662383Z If this is non-empty, then the mask_fn will be applied for each feature of the input. 2025-12-04T08:33:45.9662865Z For example, 2025-12-04T08:33:45.9663305Z mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features] 2025-12-04T08:33:45.9663796Z feature_dim (Optional, int): 2025-12-04T08:33:45.9664283Z default dimension of input features. Again, features along this dim will be chosen 2025-12-04T08:33:45.9664813Z for sparsification. 2025-12-04T08:33:45.9665132Z sparse_config (Dict): 2025-12-04T08:33:45.9665545Z Default configuration for the mask_fn. This config will be passed 2025-12-04T08:33:45.9665988Z with the mask_fn() 2025-12-04T08:33:45.9666269Z 2025-12-04T08:33:45.9666452Z Example: 2025-12-04T08:33:45.9666682Z >>> # xdoctest: +SKIP 2025-12-04T08:33:45.9666960Z >>> model = SomeModel() 2025-12-04T08:33:45.9667371Z >>> act_sparsifier = ActivationSparsifier(...) # init activation sparsifier 2025-12-04T08:33:45.9667842Z >>> # Initialize aggregate_fn 2025-12-04T08:33:45.9668143Z >>> def agg_fn(x, y): 2025-12-04T08:33:45.9668418Z >>> return x + y 2025-12-04T08:33:45.9668661Z >>> 2025-12-04T08:33:45.9668886Z >>> # Initialize reduce_fn 2025-12-04T08:33:45.9669178Z >>> def reduce_fn(x): 2025-12-04T08:33:45.9669502Z >>> return torch.mean(x, dim=0) 2025-12-04T08:33:45.9669809Z >>> 2025-12-04T08:33:45.9670029Z >>> # Initialize mask_fn 2025-12-04T08:33:45.9670300Z >>> def mask_fn(data): 2025-12-04T08:33:45.9670621Z >>> return torch.eye(data.shape).to(data.device) 2025-12-04T08:33:45.9670963Z >>> 2025-12-04T08:33:45.9671152Z >>> 2025-12-04T08:33:45.9671386Z >>> act_sparsifier.register_layer( 2025-12-04T08:33:45.9671717Z ... model.some_layer, 2025-12-04T08:33:45.9671996Z ... aggregate_fn=agg_fn, 2025-12-04T08:33:45.9672296Z ... reduce_fn=reduce_fn, 2025-12-04T08:33:45.9672743Z ... mask_fn=mask_fn, 2025-12-04T08:33:45.9673001Z ... ) 2025-12-04T08:33:45.9673218Z >>> 2025-12-04T08:33:45.9673442Z >>> # start training process 2025-12-04T08:33:45.9673744Z >>> for _ in [...]: 2025-12-04T08:33:45.9673999Z >>> # epoch starts 2025-12-04T08:33:45.9674341Z >>> # model.forward(), compute_loss() and model.backwards() 2025-12-04T08:33:45.9674718Z >>> # epoch ends 2025-12-04T08:33:45.9674974Z >>> act_sparsifier.step() 2025-12-04T08:33:45.9675282Z >>> # end training process 2025-12-04T08:33:45.9675581Z >>> sparsifier.squash_mask() 2025-12-04T08:33:45.9675854Z 2025-12-04T08:33:45.9676521Z Original Error: IndentationError("expected an indented block after 'for' statement on line 25", ('', 26, 1, '_._ = None\n', 26, 2)) 2025-12-04T08:33:45.9677216Z 2025-12-04T08:33:45.9677401Z _._ = None 2025-12-04T08:33:45.9677679Z ^ 2025-12-04T08:33:45.9677954Z warnings.warn(msg) 2025-12-04T08:33:45.9678193Z 2025-12-04T08:33:45.9678515Z --- Parse Warning: 12 / 17 --- 2025-12-04T08:33:45.9679708Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=DeviceMesh.__getitem__ in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/device_mesh.py line=547. 2025-12-04T08:33:45.9681015Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:33:45.9681448Z 2025-12-04T08:33:45.9681826Z Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh. 2025-12-04T08:33:45.9682476Z The submesh created consists of the dimensions and the communicators indicated by 2025-12-04T08:33:45.9682956Z ``mesh_dim_names`` 2025-12-04T08:33:45.9683181Z 2025-12-04T08:33:45.9683370Z Args: 2025-12-04T08:33:45.9683720Z mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the 2025-12-04T08:33:45.9684250Z mesh dimension of the DeviceMesh to create the submesh for. 2025-12-04T08:33:45.9684635Z Returns: 2025-12-04T08:33:45.9684863Z A :class:`DeviceMesh` object 2025-12-04T08:33:45.9685137Z 2025-12-04T08:33:45.9685529Z The following program runs on each process/rank in an SPMD manner in a world size of 8. 2025-12-04T08:33:45.9686079Z In the first example: 2025-12-04T08:33:45.9686490Z Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]). 2025-12-04T08:33:45.9687101Z Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of DeviceMesh:([4, 5, 6, 7]). 2025-12-04T08:33:45.9687695Z Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of DeviceMesh:([0, 4]). 2025-12-04T08:33:45.9688264Z Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of DeviceMesh:([1, 5]). 2025-12-04T08:33:45.9688818Z Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of DeviceMesh:([2, 6]). 2025-12-04T08:33:45.9689383Z Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of DeviceMesh:([3, 7]). 2025-12-04T08:33:45.9689807Z 2025-12-04T08:33:45.9690007Z In the second example: 2025-12-04T08:33:45.9690448Z Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]). 2025-12-04T08:33:45.9691163Z Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]). 2025-12-04T08:33:45.9691803Z Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]). 2025-12-04T08:33:45.9692433Z Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]). 2025-12-04T08:33:45.9692894Z 2025-12-04T08:33:45.9693097Z Example:: 2025-12-04T08:33:45.9693296Z 2025-12-04T08:33:45.9693514Z >>> # xdoctest: +SKIP("no rank") 2025-12-04T08:33:45.9693903Z >>> from torch.distributed.device_mesh import DeviceMesh 2025-12-04T08:33:45.9694279Z >>> 2025-12-04T08:33:45.9694591Z >>> # Initialize a 2D device mesh as (2, 4) to represent the topology 2025-12-04T08:33:45.9695054Z >>> # of cross-host(dim 0), and within-host (dim 1). 2025-12-04T08:33:45.9695562Z >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-12-04T08:33:45.9696036Z >>> tp_mesh = mesh_2d["tp"] 2025-12-04T08:33:45.9696342Z >>> dp_mesh = mesh_2d["dp"] 2025-12-04T08:33:45.9696625Z >>> 2025-12-04T08:33:45.9696838Z >>> # Initialize a 3D mesh. 2025-12-04T08:33:45.9697315Z >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp")) 2025-12-04T08:33:45.9698042Z >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh. 2025-12-04T08:33:45.9698577Z >>> dp_cp_mesh = mesh_3d["dp", "cp"] 2025-12-04T08:33:45.9698905Z >>> cp_dp_mesh = mesh_3d["cp", "dp"] 2025-12-04T08:33:45.9699234Z 2025-12-04T08:33:45.9700020Z Original Error: SyntaxError('positional argument follows keyword argument', ('', 6, 82, 'mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))\n', 6, 83)) 2025-12-04T08:33:45.9700875Z 2025-12-04T08:33:45.9701232Z mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-12-04T08:33:45.9701723Z ^ 2025-12-04T08:33:45.9702069Z warnings.warn(msg) 2025-12-04T08:33:45.9713221Z 2025-12-04T08:33:45.9713659Z --- Parse Warning: 13 / 17 --- 2025-12-04T08:33:45.9714893Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=SavePlanner in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/planner.py line=122. 2025-12-04T08:33:45.9716229Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:33:45.9716674Z 2025-12-04T08:33:45.9717063Z Abstract class defining the protocol used by save_state_dict to plan the save process. 2025-12-04T08:33:45.9717556Z 2025-12-04T08:33:45.9718060Z SavePlanners are stateful objects that can be used to customize the whole save process. 2025-12-04T08:33:45.9718654Z 2025-12-04T08:33:45.9719037Z SavePlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-12-04T08:33:45.9719550Z will be visible to the whole process. 2025-12-04T08:33:45.9719843Z 2025-12-04T08:33:45.9720228Z A planner subclass can expect the following sequence of calls during save_state_dict: 2025-12-04T08:33:45.9720712Z 2025-12-04T08:33:45.9720944Z 1) set_up_planner - called on all ranks. 2025-12-04T08:33:45.9721289Z Signals the start of a checkpoint save. 2025-12-04T08:33:45.9721602Z 2025-12-04T08:33:45.9721834Z 2) create_local_plan - called on all ranks. 2025-12-04T08:33:45.9722336Z Process the state_dict and produces a `SavePlan` that will be sent for global planning. 2025-12-04T08:33:45.9722814Z 2025-12-04T08:33:45.9723103Z 3) create_global_plan - called on the coordinator rank only. 2025-12-04T08:33:45.9723578Z Takes the SavePlan from all ranks and make any global decision. 2025-12-04T08:33:45.9724011Z 2025-12-04T08:33:45.9724233Z 4) finish_plan - called on all ranks. 2025-12-04T08:33:45.9724648Z This gives each rank a chance to adjust to global planning decisions. 2025-12-04T08:33:45.9725057Z 2025-12-04T08:33:45.9725319Z 5) resolve_data - called multiple times on each rank 2025-12-04T08:33:45.9725777Z Lookups a value on the `state_dict` for the storage layer to write. 2025-12-04T08:33:45.9726165Z 2025-12-04T08:33:45.9726574Z Users are recommended to extend DefaultSavePlanner instead of this interface directly as 2025-12-04T08:33:45.9727182Z most changes can be expressed by changes in a single method. 2025-12-04T08:33:45.9727544Z 2025-12-04T08:33:45.9727774Z There are 3 usual patterns of extension: 2025-12-04T08:33:45.9728082Z 2025-12-04T08:33:45.9728428Z Rewriting state_dict. This is the simplest way to extend the save process as it 2025-12-04T08:33:45.9728662Z doesn't requite understanding the intrincacies of how SavePlan works: 2025-12-04T08:33:45.9728745Z 2025-12-04T08:33:45.9728857Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T08:33:45.9728997Z >>> class RenamePlanner(DefaultSavePlanner): 2025-12-04T08:33:45.9729095Z >>> def set_up_planner( 2025-12-04T08:33:45.9729186Z >>> self, 2025-12-04T08:33:45.9729326Z >>> state_dict: STATE_DICT_TYPE, 2025-12-04T08:33:45.9729452Z >>> storage_meta: Optional[StorageMeta], 2025-12-04T08:33:45.9729566Z >>> is_coordinator: bool, 2025-12-04T08:33:45.9729651Z >>> ) -> None: 2025-12-04T08:33:45.9729756Z >>> # prefix all keys with `foo_`` 2025-12-04T08:33:45.9730087Z >>> super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator) 2025-12-04T08:33:45.9730167Z 2025-12-04T08:33:45.9730495Z Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted 2025-12-04T08:33:45.9730591Z 2025-12-04T08:33:45.9730701Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T08:33:45.9730844Z >>> class FP16Planner(DefaultSavePlanner): 2025-12-04T08:33:45.9730946Z >>> def create_local_plan(self): 2025-12-04T08:33:45.9731062Z >>> plan = super().create_local_plan() 2025-12-04T08:33:45.9731171Z >>> for p in plan: 2025-12-04T08:33:45.9731285Z >>> if p.tensor_data is not None: 2025-12-04T08:33:45.9731440Z >>> p.tensor_data.properties.dtype = torch.float16 2025-12-04T08:33:45.9731549Z >>> return plan 2025-12-04T08:33:45.9731628Z >>> 2025-12-04T08:33:45.9731745Z >>> def resolve_data(self, write_item): 2025-12-04T08:33:45.9731877Z >>> item = super().resolve_data(write_item) 2025-12-04T08:33:45.9732144Z >>> return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16) 2025-12-04T08:33:45.9732234Z 2025-12-04T08:33:45.9732567Z Using the global planning step to make central decisions that can't be made individually by each rank 2025-12-04T08:33:45.9732674Z 2025-12-04T08:33:45.9732798Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T08:33:45.9732907Z >>> from itertools import zip_longest 2025-12-04T08:33:45.9733013Z >>> from dataclasses import replace 2025-12-04T08:33:45.9733189Z >>> class DDPLoadBalancingPlanner(DefaultSavePlanner): 2025-12-04T08:33:45.9733461Z >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0 2025-12-04T08:33:45.9733599Z >>> # This sample doesn't handle ShardedTensors 2025-12-04T08:33:45.9733726Z >>> def create_global_plan(self, all_plans): 2025-12-04T08:33:45.9733870Z >>> iters = [iter(all_plans[0].items)] * len(all_plans) 2025-12-04T08:33:45.9733978Z >>> items_per_rank = [ 2025-12-04T08:33:45.9734109Z >>> [item for item in items if item is not None] 2025-12-04T08:33:45.9734262Z >>> for items in zip(*zip_longest(*iters), strict=True) 2025-12-04T08:33:45.9734387Z >>> ] 2025-12-04T08:33:45.9734478Z >>> all_plans = [ 2025-12-04T08:33:45.9734587Z >>> replace(plan, items=items) 2025-12-04T08:33:45.9734785Z >>> for plan, items in zip(all_plans, items_per_rank, strict=True) 2025-12-04T08:33:45.9734864Z >>> ] 2025-12-04T08:33:45.9735016Z >>> return super().create_global_plan(all_plans) 2025-12-04T08:33:45.9735095Z 2025-12-04T08:33:45.9735352Z Finally, some planners need to save additional metadata in the checkpoint, this is 2025-12-04T08:33:45.9735633Z accomplished by having each rank contribute their data items in the local plan and 2025-12-04T08:33:45.9735742Z the global planner aggregate them: 2025-12-04T08:33:45.9735820Z 2025-12-04T08:33:45.9735942Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T08:33:45.9736094Z >>> class SaveExtraDataPlanner(DefaultSavePlanner): 2025-12-04T08:33:45.9736222Z >>> def create_local_plan(self) -> SavePlan: 2025-12-04T08:33:45.9736348Z >>> plan = super().create_local_plan() 2025-12-04T08:33:45.9736504Z >>> return replace(plan, planner_data="per-rank-data") 2025-12-04T08:33:45.9736595Z >>> 2025-12-04T08:33:45.9736888Z >>> def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]: 2025-12-04T08:33:45.9737105Z >>> global_plan, metadata = super().create_global_plan(all_plans) 2025-12-04T08:33:45.9737268Z >>> merged_data = [p.planner_data for p in global_plan] 2025-12-04T08:33:45.9737432Z >>> metadata = replace(metadata, planner_data=merged_data) 2025-12-04T08:33:45.9737564Z >>> return global_plan, metadata 2025-12-04T08:33:45.9737655Z 2025-12-04T08:33:45.9738177Z Original Error: IndentationError('expected an indented block after function definition on line 3', ('', 9, 0, '_._ = None\n', 9, -1)) 2025-12-04T08:33:45.9738267Z 2025-12-04T08:33:45.9738353Z _._ = None 2025-12-04T08:33:45.9738431Z ^ 2025-12-04T08:33:45.9738533Z warnings.warn(msg) 2025-12-04T08:33:45.9738613Z 2025-12-04T08:33:45.9738814Z --- Parse Warning: 14 / 17 --- 2025-12-04T08:33:45.9739780Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=LoadPlanner in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/planner.py line=305. 2025-12-04T08:33:45.9740023Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:33:45.9740101Z 2025-12-04T08:33:45.9740392Z Abstract class defining the protocol used by load_state_dict to plan the load process. 2025-12-04T08:33:45.9740469Z 2025-12-04T08:33:45.9740761Z LoadPlanner are stateful objects that can be used to customize the whole load process. 2025-12-04T08:33:45.9740837Z 2025-12-04T08:33:45.9741111Z LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-12-04T08:33:45.9741281Z will be visible to the whole process. 2025-12-04T08:33:45.9741360Z 2025-12-04T08:33:45.9741629Z A planner subclass can expect the following sequence of calls during load_state_dict: 2025-12-04T08:33:45.9741715Z 2025-12-04T08:33:45.9741832Z 1) set_up_planner - called on all ranks. 2025-12-04T08:33:45.9741964Z Signals the start of loading a checkpoint. 2025-12-04T08:33:45.9742050Z 2025-12-04T08:33:45.9742169Z 2) create_local_plan - called on all ranks. 2025-12-04T08:33:45.9742460Z Process the state_dict and produces a `LoadPlan` that will be sent for global planning. 2025-12-04T08:33:45.9742537Z 2025-12-04T08:33:45.9742713Z 3) create_global_plan - called on the coordinator rank only. 2025-12-04T08:33:45.9742916Z Takes the LoadPlan from all ranks and make any global decision. 2025-12-04T08:33:45.9742993Z 2025-12-04T08:33:45.9743136Z 4) load_bytes - called multiple times on each rank 2025-12-04T08:33:45.9743339Z This is called once per non-tensor value in state_dict. 2025-12-04T08:33:45.9743414Z 2025-12-04T08:33:45.9743632Z 5) resolve_tensor and commit_tensor - called multiple times on each rank 2025-12-04T08:33:45.9743820Z They are called in pair for each Tensor value in state_dict. 2025-12-04T08:33:45.9743896Z 2025-12-04T08:33:45.9744209Z Users are recommended to extend DefaultLoadPlanner instead of this interface directly as 2025-12-04T08:33:45.9744388Z most changes can be expressed by changes in a single method. 2025-12-04T08:33:45.9744468Z 2025-12-04T08:33:45.9744605Z There are two usual patterns of extension: 2025-12-04T08:33:45.9744680Z 2025-12-04T08:33:45.9744928Z Rewriting state_dict. This is the simplest way to extend the load process as it 2025-12-04T08:33:45.9745185Z doesn't requite understanding the intrincacies of how LoadPlan works. We need 2025-12-04T08:33:45.9745404Z to keep a reference to the original state_dict as load happens in place so 2025-12-04T08:33:45.9745538Z we need to be able to perform it in place 2025-12-04T08:33:45.9745615Z 2025-12-04T08:33:45.9745725Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T08:33:45.9745869Z >>> class RenamePlanner(DefaultLoadPlanner): 2025-12-04T08:33:45.9745963Z >>> def set_up_planner( 2025-12-04T08:33:45.9746081Z >>> self, 2025-12-04T08:33:45.9746202Z >>> state_dict: STATE_DICT_TYPE, 2025-12-04T08:33:45.9746300Z >>> metadata: Metadata, 2025-12-04T08:33:45.9746401Z >>> is_coordinator: bool, 2025-12-04T08:33:45.9746497Z >>> ) -> None: 2025-12-04T08:33:45.9746644Z >>> self.original_state_dict = state_dict 2025-12-04T08:33:45.9746813Z >>> state_dict = {"foo_" + k: v for k, v in state_dict.items()} 2025-12-04T08:33:45.9746905Z >>> 2025-12-04T08:33:45.9747016Z >>> if self.flatten_sharded_tensors: 2025-12-04T08:33:45.9747177Z >>> state_dict = _flatten_sharded_tensors(state_dict) 2025-12-04T08:33:45.9747255Z >>> 2025-12-04T08:33:45.9747360Z >>> if self.flatten_state_dict: 2025-12-04T08:33:45.9747552Z >>> state_dict, self.mappings = flatten_state_dict(state_dict) 2025-12-04T08:33:45.9747630Z >>> 2025-12-04T08:33:45.9747740Z >>> self.state_dict = state_dict 2025-12-04T08:33:45.9747855Z >>> self.metadata = metadata 2025-12-04T08:33:45.9747974Z >>> self.is_coordinator = is_coordinator 2025-12-04T08:33:45.9748052Z >>> 2025-12-04T08:33:45.9748182Z >>> def load_bytes(self, read_item, value): 2025-12-04T08:33:45.9748280Z >>> # Remove the "foo_" prefix 2025-12-04T08:33:45.9748605Z >>> self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False) 2025-12-04T08:33:45.9748683Z 2025-12-04T08:33:45.9748760Z 2025-12-04T08:33:45.9749030Z Modifying resolve_tensor and commit_tensor to handle load time transformation. 2025-12-04T08:33:45.9749133Z 2025-12-04T08:33:45.9749243Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T08:33:45.9749409Z >>> class MetaModelMaterialize(DefaultSavePlanner): 2025-12-04T08:33:45.9749523Z >>> def resolve_tensor(self, read_item): 2025-12-04T08:33:45.9749648Z >>> tensor = super().resolve_tensor(read_item) 2025-12-04T08:33:45.9749807Z >>> return torch.empty_like(tensor, device="cpu") 2025-12-04T08:33:45.9749883Z >>> 2025-12-04T08:33:45.9750025Z >>> def commit_tensor(self, read_item, tensor): 2025-12-04T08:33:45.9750176Z >>> self.state_dict[read_item.dest_index.fqn] = tensor 2025-12-04T08:33:45.9750255Z 2025-12-04T08:33:45.9750792Z Original Error: IndentationError('expected an indented block after function definition on line 22', ('', 23, 0, '_._ = None\n', 23, -1)) 2025-12-04T08:33:45.9750871Z 2025-12-04T08:33:45.9750951Z _._ = None 2025-12-04T08:33:45.9751068Z ^ 2025-12-04T08:33:45.9751165Z warnings.warn(msg) 2025-12-04T08:33:45.9751244Z 2025-12-04T08:33:45.9751444Z --- Parse Warning: 15 / 17 --- 2025-12-04T08:33:45.9752387Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=FullStateDictConfig in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/fsdp/api.py line=295. 2025-12-04T08:33:45.9752640Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:33:45.9752717Z 2025-12-04T08:33:45.9752916Z ``FullStateDictConfig`` is a config class meant to be used with 2025-12-04T08:33:45.9753121Z ``StateDictType.FULL_STATE_DICT``. We recommend enabling both 2025-12-04T08:33:45.9753320Z ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state 2025-12-04T08:33:45.9753534Z dicts to save GPU memory and CPU memory, respectively. This config class 2025-12-04T08:33:45.9753746Z is meant to be used via the :func:`state_dict_type` context manager as 2025-12-04T08:33:45.9753832Z follows: 2025-12-04T08:33:45.9753919Z 2025-12-04T08:33:45.9754044Z >>> # xdoctest: +SKIP("undefined variables") 2025-12-04T08:33:45.9754278Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2025-12-04T08:33:45.9754437Z >>> fsdp = FSDP(model, auto_wrap_policy=...) 2025-12-04T08:33:45.9754634Z >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True) 2025-12-04T08:33:45.9754848Z >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg): 2025-12-04T08:33:45.9754958Z >>> state = fsdp.state_dict() 2025-12-04T08:33:45.9755186Z >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0. 2025-12-04T08:33:45.9755428Z >>> # To reload checkpoint for inference, finetuning, transfer learning, etc: 2025-12-04T08:33:45.9755648Z >>> model = model_fn() # Initialize model in preparation for wrapping with FSDP 2025-12-04T08:33:45.9755752Z >>> if dist.get_rank() == 0: 2025-12-04T08:33:45.9755932Z >>> # Load checkpoint only on rank 0 to avoid memory redundancy 2025-12-04T08:33:45.9756079Z >>> state_dict = torch.load("my_checkpoint.pt") 2025-12-04T08:33:45.9756193Z >>> model.load_state_dict(state_dict) 2025-12-04T08:33:45.9756419Z >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument 2025-12-04T08:33:45.9756661Z >>> # communicates loaded checkpoint states from rank 0 to rest of the world. 2025-12-04T08:33:45.9756748Z >>> fsdp = FSDP( 2025-12-04T08:33:45.9756829Z ... model, 2025-12-04T08:33:45.9756972Z ... device_id=torch.cuda.current_device(), 2025-12-04T08:33:45.9757072Z ... auto_wrap_policy=..., 2025-12-04T08:33:45.9757185Z ... sync_module_states=True, 2025-12-04T08:33:45.9757265Z ... ) 2025-12-04T08:33:45.9757470Z >>> # After this point, all ranks have FSDP model with loaded checkpoint. 2025-12-04T08:33:45.9757588Z 2025-12-04T08:33:45.9757760Z Attributes: 2025-12-04T08:33:45.9757959Z rank0_only (bool): If ``True``, then only rank 0 saves the full state 2025-12-04T08:33:45.9758168Z dict, and nonzero ranks save an empty dict. If ``False``, then all 2025-12-04T08:33:45.9758324Z ranks save the full state dict. (Default: ``False``) 2025-12-04T08:33:45.9758401Z 2025-12-04T08:33:45.9758906Z Original Error: IndentationError("expected an indented block after 'if' statement on line 10", ('', 11, 1, '_._ = None\n', 11, 2)) 2025-12-04T08:33:45.9758986Z 2025-12-04T08:33:45.9759087Z _._ = None 2025-12-04T08:33:45.9759165Z ^ 2025-12-04T08:33:45.9759257Z warnings.warn(msg) 2025-12-04T08:33:45.9759345Z 2025-12-04T08:33:45.9759536Z --- Parse Warning: 16 / 17 --- 2025-12-04T08:33:45.9760494Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=register_parametrization in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/parametrize.py line=437. 2025-12-04T08:33:45.9760785Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:33:45.9760936Z Register a parametrization to a tensor in a module. 2025-12-04T08:33:45.9761026Z 2025-12-04T08:33:45.9761303Z Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``, 2025-12-04T08:33:45.9761580Z the module will return the parametrized version ``parametrization(module.weight)``. 2025-12-04T08:33:45.9761849Z If the original tensor requires a gradient, the backward pass will differentiate 2025-12-04T08:33:45.9762133Z through :attr:`parametrization`, and the optimizer will update the tensor accordingly. 2025-12-04T08:33:45.9762211Z 2025-12-04T08:33:45.9762527Z The first time that a module registers a parametrization, this function will add an attribute 2025-12-04T08:33:45.9762767Z ``parametrizations`` to the module of type :class:`~ParametrizationList`. 2025-12-04T08:33:45.9762857Z 2025-12-04T08:33:45.9763105Z The list of parametrizations on the tensor ``weight`` will be accessible under 2025-12-04T08:33:45.9763227Z ``module.parametrizations.weight``. 2025-12-04T08:33:45.9763317Z 2025-12-04T08:33:45.9763473Z The original tensor will be accessible under 2025-12-04T08:33:45.9763617Z ``module.parametrizations.weight.original``. 2025-12-04T08:33:45.9763702Z 2025-12-04T08:33:45.9763961Z Parametrizations may be concatenated by registering several parametrizations 2025-12-04T08:33:45.9764082Z on the same attribute. 2025-12-04T08:33:45.9764167Z 2025-12-04T08:33:45.9764402Z The training mode of a registered parametrization is updated on registration 2025-12-04T08:33:45.9764543Z to match the training mode of the host module 2025-12-04T08:33:45.9764620Z 2025-12-04T08:33:45.9764920Z Parametrized parameters and buffers have an inbuilt caching system that can be activated 2025-12-04T08:33:45.9765054Z using the context manager :func:`cached`. 2025-12-04T08:33:45.9765128Z 2025-12-04T08:33:45.9765362Z A :attr:`parametrization` may optionally implement a method with signature 2025-12-04T08:33:45.9765452Z 2025-12-04T08:33:45.9765565Z .. code-block:: python 2025-12-04T08:33:45.9765643Z 2025-12-04T08:33:45.9765862Z def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]] 2025-12-04T08:33:45.9765937Z 2025-12-04T08:33:45.9766199Z This method is called on the unparametrized tensor when the first parametrization 2025-12-04T08:33:45.9766409Z is registered to compute the initial value of the original tensor. 2025-12-04T08:33:45.9766707Z If this method is not implemented, the original tensor will be just the unparametrized tensor. 2025-12-04T08:33:45.9766819Z 2025-12-04T08:33:45.9767121Z If all the parametrizations registered on a tensor implement `right_inverse` it is possible 2025-12-04T08:33:45.9767402Z to initialize a parametrized tensor by assigning to it, as shown in the example below. 2025-12-04T08:33:45.9767487Z 2025-12-04T08:33:45.9767705Z It is possible for the first parametrization to depend on several inputs. 2025-12-04T08:33:45.9767940Z This may be implemented returning a tuple of tensors from ``right_inverse`` 2025-12-04T08:33:45.9768176Z (see the example implementation of a ``RankOne`` parametrization below). 2025-12-04T08:33:45.9768251Z 2025-12-04T08:33:45.9768588Z In this case, the unconstrained tensors are also located under ``module.parametrizations.weight`` 2025-12-04T08:33:45.9768712Z with names ``original0``, ``original1``,... 2025-12-04T08:33:45.9768787Z 2025-12-04T08:33:45.9768879Z .. note:: 2025-12-04T08:33:45.9768954Z 2025-12-04T08:33:45.9769215Z If unsafe=False (default) both the forward and right_inverse methods will be called 2025-12-04T08:33:45.9769397Z once to perform a number of consistency checks. 2025-12-04T08:33:45.9769657Z If unsafe=True, then right_inverse will be called if the tensor is not parametrized, 2025-12-04T08:33:45.9769784Z and nothing will be called otherwise. 2025-12-04T08:33:45.9769861Z 2025-12-04T08:33:45.9769943Z .. note:: 2025-12-04T08:33:45.9770031Z 2025-12-04T08:33:45.9770228Z In most situations, ``right_inverse`` will be a function such that 2025-12-04T08:33:45.9770344Z ``forward(right_inverse(X)) == X`` (see 2025-12-04T08:33:45.9770647Z `right inverse `_). 2025-12-04T08:33:45.9770892Z Sometimes, when the parametrization is not surjective, it may be reasonable 2025-12-04T08:33:45.9770981Z to relax this. 2025-12-04T08:33:45.9771072Z 2025-12-04T08:33:45.9771155Z .. warning:: 2025-12-04T08:33:45.9771249Z 2025-12-04T08:33:45.9771517Z If a parametrization depends on several inputs, :func:`~register_parametrization` 2025-12-04T08:33:45.9771769Z will register a number of new parameters. If such parametrization is registered 2025-12-04T08:33:45.9772071Z after the optimizer is created, these new parameters will need to be added manually 2025-12-04T08:33:45.9772261Z to the optimizer. See :meth:`torch.Optimizer.add_param_group`. 2025-12-04T08:33:45.9772340Z 2025-12-04T08:33:45.9772434Z Args: 2025-12-04T08:33:45.9772856Z module (nn.Module): module on which to register the parametrization 2025-12-04T08:33:45.9773065Z tensor_name (str): name of the parameter or buffer on which to register 2025-12-04T08:33:45.9773176Z the parametrization 2025-12-04T08:33:45.9773374Z parametrization (nn.Module): the parametrization to register 2025-12-04T08:33:45.9773476Z Keyword args: 2025-12-04T08:33:45.9773688Z unsafe (bool): a boolean flag that denotes whether the parametrization 2025-12-04T08:33:45.9773875Z may change the dtype and shape of the tensor. Default: `False` 2025-12-04T08:33:45.9774151Z Warning: the parametrization is not checked for consistency upon registration. 2025-12-04T08:33:45.9774267Z Enable this flag at your own risk. 2025-12-04T08:33:45.9774345Z 2025-12-04T08:33:45.9774436Z Raises: 2025-12-04T08:33:45.9774716Z ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name` 2025-12-04T08:33:45.9774802Z 2025-12-04T08:33:45.9774888Z Examples: 2025-12-04T08:33:45.9775032Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK) 2025-12-04T08:33:45.9775131Z >>> import torch 2025-12-04T08:33:45.9775233Z >>> import torch.nn as nn 2025-12-04T08:33:45.9775367Z >>> import torch.nn.utils.parametrize as P 2025-12-04T08:33:45.9775496Z >>> 2025-12-04T08:33:45.9775604Z >>> class Symmetric(nn.Module): 2025-12-04T08:33:45.9775705Z >>> def forward(self, X): 2025-12-04T08:33:45.9775884Z >>> return X.triu() + X.triu(1).T # Return a symmetric matrix 2025-12-04T08:33:45.9775966Z >>> 2025-12-04T08:33:45.9776089Z >>> def right_inverse(self, A): 2025-12-04T08:33:45.9776183Z >>> return A.triu() 2025-12-04T08:33:45.9776262Z >>> 2025-12-04T08:33:45.9776367Z >>> m = nn.Linear(5, 5) 2025-12-04T08:33:45.9776531Z >>> P.register_parametrization(m, "weight", Symmetric()) 2025-12-04T08:33:45.9776763Z >>> print(torch.allclose(m.weight, m.weight.T)) # m.weight is now symmetric 2025-12-04T08:33:45.9776854Z True 2025-12-04T08:33:45.9776951Z >>> A = torch.rand(5, 5) 2025-12-04T08:33:45.9777059Z >>> A = A + A.T # A is now symmetric 2025-12-04T08:33:45.9777303Z >>> m.weight = A # Initialize the weight to be the symmetric matrix A 2025-12-04T08:33:45.9777422Z >>> print(torch.allclose(m.weight, A)) 2025-12-04T08:33:45.9777515Z True 2025-12-04T08:33:45.9777592Z 2025-12-04T08:33:45.9777698Z >>> class RankOne(nn.Module): 2025-12-04T08:33:45.9777817Z >>> def forward(self, x, y): 2025-12-04T08:33:45.9777956Z >>> # Form a rank 1 matrix multiplying two vectors 2025-12-04T08:33:45.9778085Z >>> return x.unsqueeze(-1) @ y.unsqueeze(-2) 2025-12-04T08:33:45.9778177Z >>> 2025-12-04T08:33:45.9778292Z >>> def right_inverse(self, Z): 2025-12-04T08:33:45.9778411Z >>> # Project Z onto the rank 1 matrices 2025-12-04T08:33:45.9778572Z >>> U, S, Vh = torch.linalg.svd(Z, full_matrices=False) 2025-12-04T08:33:45.9778687Z >>> # Return rescaled singular vectors 2025-12-04T08:33:45.9778824Z >>> s0_sqrt = S[0].sqrt().unsqueeze(-1) 2025-12-04T08:33:45.9778968Z >>> return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt 2025-12-04T08:33:45.9779049Z >>> 2025-12-04T08:33:45.9779206Z >>> linear_rank_one = P.register_parametrization( 2025-12-04T08:33:45.9779327Z ... nn.Linear(4, 4), "weight", RankOne() 2025-12-04T08:33:45.9779443Z ... ) 2025-12-04T08:33:45.9779653Z >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item()) 2025-12-04T08:33:45.9779734Z 1 2025-12-04T08:33:45.9779814Z 2025-12-04T08:33:45.9779905Z 2025-12-04T08:33:45.9780450Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 3, 0, '_._ = None\n', 3, -1)) 2025-12-04T08:33:45.9780543Z 2025-12-04T08:33:45.9780625Z _._ = None 2025-12-04T08:33:45.9780705Z ^ 2025-12-04T08:33:45.9780812Z warnings.warn(msg) 2025-12-04T08:33:45.9780896Z 2025-12-04T08:33:45.9781091Z --- Parse Warning: 17 / 17 --- 2025-12-04T08:33:45.9782023Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=ReduceLROnPlateau in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py line=1586. 2025-12-04T08:33:45.9782264Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:33:45.9782438Z Reduce learning rate when a metric has stopped improving. 2025-12-04T08:33:45.9782527Z 2025-12-04T08:33:45.9782723Z Models often benefit from reducing the learning rate by a factor 2025-12-04T08:33:45.9782911Z of 2-10 once learning stagnates. This scheduler reads a metrics 2025-12-04T08:33:45.9783095Z quantity and if no improvement is seen for a 'patience' number 2025-12-04T08:33:45.9783212Z of epochs, the learning rate is reduced. 2025-12-04T08:33:45.9783329Z 2025-12-04T08:33:45.9783413Z Args: 2025-12-04T08:33:45.9783542Z optimizer (Optimizer): Wrapped optimizer. 2025-12-04T08:33:45.9783699Z mode (str): One of `min`, `max`. In `min` mode, lr will 2025-12-04T08:33:45.9783848Z be reduced when the quantity monitored has stopped 2025-12-04T08:33:45.9784019Z decreasing; in `max` mode it will be reduced when the 2025-12-04T08:33:45.9784205Z quantity monitored has stopped increasing. Default: 'min'. 2025-12-04T08:33:45.9784373Z factor (float): Factor by which the learning rate will be 2025-12-04T08:33:45.9784513Z reduced. new_lr = lr * factor. Default: 0.1. 2025-12-04T08:33:45.9784721Z patience (int): The number of allowed epochs with no improvement after 2025-12-04T08:33:45.9784846Z which the learning rate will be reduced. 2025-12-04T08:33:45.9785076Z For example, consider the case of having no patience (`patience = 0`). 2025-12-04T08:33:45.9785456Z In the first epoch, a baseline is established and is always considered good as there's no previous baseline. 2025-12-04T08:33:45.9785665Z In the second epoch, if the performance is worse than the baseline, 2025-12-04T08:33:45.9785806Z we have what is considered an intolerable epoch. 2025-12-04T08:33:45.9786062Z Since the count of intolerable epochs (1) is greater than the patience level (0), 2025-12-04T08:33:45.9786237Z the learning rate is reduced at the end of this epoch. 2025-12-04T08:33:45.9786555Z From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch 2025-12-04T08:33:45.9786861Z if the performance is worse than the baseline. If the performance improves or remains the same, 2025-12-04T08:33:45.9786990Z the learning rate is not adjusted. 2025-12-04T08:33:45.9787084Z Default: 10. 2025-12-04T08:33:45.9787286Z threshold (float): Threshold for measuring the new optimum, 2025-12-04T08:33:45.9787440Z to only focus on significant changes. Default: 1e-4. 2025-12-04T08:33:45.9787606Z threshold_mode (str): One of `rel`, `abs`. In `rel` mode, 2025-12-04T08:33:45.9787769Z dynamic_threshold = best * ( 1 + threshold ) in 'max' 2025-12-04T08:33:45.9787933Z mode or best * ( 1 - threshold ) in `min` mode. 2025-12-04T08:33:45.9788085Z In `abs` mode, dynamic_threshold = best + threshold in 2025-12-04T08:33:45.9788268Z `max` mode or best - threshold in `min` mode. Default: 'rel'. 2025-12-04T08:33:45.9788456Z cooldown (int): Number of epochs to wait before resuming 2025-12-04T08:33:45.9788635Z normal operation after lr has been reduced. Default: 0. 2025-12-04T08:33:45.9788790Z min_lr (float or list): A scalar or a list of scalars. A 2025-12-04T08:33:45.9788948Z lower bound on the learning rate of all param groups 2025-12-04T08:33:45.9789090Z or each group respectively. Default: 0. 2025-12-04T08:33:45.9789263Z eps (float): Minimal decay applied to lr. If the difference 2025-12-04T08:33:45.9789435Z between new and old lr is smaller than eps, the update is 2025-12-04T08:33:45.9789550Z ignored. Default: 1e-8. 2025-12-04T08:33:45.9789630Z 2025-12-04T08:33:45.9789723Z Example: 2025-12-04T08:33:45.9789818Z >>> # xdoctest: +SKIP 2025-12-04T08:33:45.9790041Z >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9) 2025-12-04T08:33:45.9790208Z >>> scheduler = ReduceLROnPlateau(optimizer, "min") 2025-12-04T08:33:45.9790307Z >>> for epoch in range(10): 2025-12-04T08:33:45.9790397Z >>> train(...) 2025-12-04T08:33:45.9790519Z >>> val_loss = validate(...) 2025-12-04T08:33:45.9790665Z >>> # Note that step should be called after validate() 2025-12-04T08:33:45.9790807Z >>> scheduler.step(val_loss) 2025-12-04T08:33:45.9790895Z 2025-12-04T08:33:45.9791085Z .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png 2025-12-04T08:33:45.9791173Z 2025-12-04T08:33:45.9791582Z Original Error: IndentationError('unexpected indent', ('', 8, 4, ' scheduler.step(val_loss)\n', 8, -1)) 2025-12-04T08:33:45.9791659Z 2025-12-04T08:33:45.9791773Z scheduler.step(val_loss) 2025-12-04T08:33:45.9791851Z ^ 2025-12-04T08:33:45.9791944Z warnings.warn(msg) 2025-12-04T08:33:45.9792033Z 2025-12-04T08:33:45.9792140Z  2025-12-04T08:33:45.9792312Z === Found 10 run-time warnings === 2025-12-04T08:33:45.9792496Z --- Runtime Warning: 1 / 10 --- 2025-12-04T08:33:45.9792689Z example = 2025-12-04T08:33:45.9794147Z :3: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage() 2025-12-04T08:33:45.9794256Z 2025-12-04T08:33:45.9794431Z --- Runtime Warning: 2 / 10 --- 2025-12-04T08:33:45.9794697Z example = 2025-12-04T08:33:45.9796041Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor.py:1392: UserWarning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (Triggered internally at /var/lib/jenkins/workspace/c10/core/TensorImpl.h:1976.) 2025-12-04T08:33:45.9796161Z return super().refine_names(names) 2025-12-04T08:33:45.9796239Z 2025-12-04T08:33:45.9796411Z --- Runtime Warning: 3 / 10 --- 2025-12-04T08:33:45.9796725Z example = 2025-12-04T08:33:45.9797379Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py:275: UserWarning: Warning only once for all operators, other operators may also be overridden. 2025-12-04T08:33:45.9797791Z Overriding a previously registered kernel for the same operator and the same dispatch key 2025-12-04T08:33:45.9797990Z operator: aten::div.Tensor(Tensor self, Tensor other) -> Tensor 2025-12-04T08:33:45.9798317Z registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSchema.cpp:6 2025-12-04T08:33:45.9798428Z dispatch key: CPU 2025-12-04T08:33:45.9798848Z previous kernel: registered at /var/lib/jenkins/workspace/aten/src/ATen/LegacyBatchingRegistrations.cpp:1079 2025-12-04T08:33:45.9799833Z new kernel: registered at :1 (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/core/dispatch/OperatorEntry.cpp:215.) 2025-12-04T08:33:45.9799989Z impl_fn(self.ns, name.split("::")[-1], dispatch_key) 2025-12-04T08:33:45.9800066Z 2025-12-04T08:33:45.9800263Z --- Runtime Warning: 4 / 10 --- 2025-12-04T08:33:45.9800496Z example = 2025-12-04T08:33:45.9802372Z /opt/conda/envs/py_3.14/lib/python3.14/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 /var/lib/jenkins/workspace/aten/src/ATen/NestedTensorImpl.cpp:182.) 2025-12-04T08:33:45.9802645Z return torch._nested_tensor_from_tensor_list(ts, dtype, None, device, None) 2025-12-04T08:33:45.9802737Z 2025-12-04T08:33:45.9802909Z --- Runtime Warning: 5 / 10 --- 2025-12-04T08:33:45.9803157Z example = 2025-12-04T08:33:45.9804749Z :1: UserWarning: Sparse CSR tensor support is in beta state. If you miss a functionality in the sparse tensor support, please submit a feature request to https://github.com/pytorch/pytorch/issues. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/SparseCsrTensorImpl.cpp:55.) 2025-12-04T08:33:45.9804828Z 2025-12-04T08:33:45.9805013Z --- Runtime Warning: 6 / 10 --- 2025-12-04T08:33:45.9805314Z example = 2025-12-04T08:33:45.9806799Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/const_fold.py:314: 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 2025-12-04T08:33:45.9806990Z new_node = root_const_gm.graph.get_attr(in_node.target) 2025-12-04T08:33:45.9807066Z 2025-12-04T08:33:45.9807253Z --- Runtime Warning: 7 / 10 --- 2025-12-04T08:33:45.9807533Z example = 2025-12-04T08:33:45.9808611Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/transformer.py:144: 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) 2025-12-04T08:33:45.9808730Z self.encoder = TransformerEncoder( 2025-12-04T08:33:45.9808810Z 2025-12-04T08:33:45.9808989Z --- Runtime Warning: 8 / 10 --- 2025-12-04T08:33:45.9809309Z example = 2025-12-04T08:33:45.9810567Z :2: 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) 2025-12-04T08:33:45.9810647Z 2025-12-04T08:33:45.9810844Z --- Runtime Warning: 9 / 10 --- 2025-12-04T08:33:45.9811129Z example = 2025-12-04T08:33:45.9811921Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/weight_norm.py:144: FutureWarning: `torch.nn.utils.weight_norm` is deprecated in favor of `torch.nn.utils.parametrizations.weight_norm`. 2025-12-04T08:33:45.9812054Z WeightNorm.apply(module, name, dim) 2025-12-04T08:33:45.9812133Z 2025-12-04T08:33:45.9812308Z --- Runtime Warning: 10 / 10 --- 2025-12-04T08:33:45.9812613Z example = 2025-12-04T08:33:45.9813406Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/weight_norm.py:144: FutureWarning: `torch.nn.utils.weight_norm` is deprecated in favor of `torch.nn.utils.parametrizations.weight_norm`. 2025-12-04T08:33:45.9813520Z WeightNorm.apply(module, name, dim) 2025-12-04T08:33:45.9813613Z 2025-12-04T08:33:45.9813895Z === 378 passed, 516 skipped, 27 warnings in 26.73 seconds === 2025-12-04T08:33:45.9814134Z Finished doctests 1/1 ... [2025-12-04 08:33:45.937744][2060.620478075], took 0.50min 2025-12-04T08:33:45.9814394Z Running inductor/test_flex_attention 1/5 ... [2025-12-04 08:33:45.940066][2060.62280769] 2025-12-04T08:33:45.9814531Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:33:45.9815408Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=1', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 08:33:45.940357] 2025-12-04T08:43:41.7761852Z 2025-12-04T08:43:41.7764635Z inductor/test_flex_attention 1/5 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_1.5_f9e3e27717507ed4_.log 2025-12-04T08:43:41.7832225Z Running 129 items in this shard: test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_causal_mask_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod4_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_autograd_function_in_score_mod_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_automatic_dynamic_score_mod0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_automatic_dynamic_score_mod1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_automatic_dynamic_score_mod2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_automatic_dynamic_score_mod3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_automatic_dynamic_score_mod6_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod0_BLOCK_SIZE2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod0_BLOCK_SIZE_128_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod0_BLOCK_SIZE_128_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod1_BLOCK_SIZE3_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod2_BLOCK_SIZE_256_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod3_BLOCK_SIZE2_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod3_BLOCK_SIZE_128_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod3_BLOCK_SIZE_256_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod4_BLOCK_SIZE2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod4_BLOCK_SIZE3_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod4_BLOCK_SIZE_256_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod4_BLOCK_SIZE_256_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod5_BLOCK_SIZE2_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod5_BLOCK_SIZE2_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod5_BLOCK_SIZE3_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod6_BLOCK_SIZE2_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod6_BLOCK_SIZE3_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod7_BLOCK_SIZE2_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod7_BLOCK_SIZE3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod7_BLOCK_SIZE_128_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod7_BLOCK_SIZE_256_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod7_BLOCK_SIZE_256_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_seqlen_score_mod4_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_dynamic_score_mask_mod1_cpu_float32, 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test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_differentiable_logsumexp_gradcheck_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_document_masking_edge_case_mode_eager_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_dynamic_shapes_bug_dynamic_batch_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_backward_stride_ordering_mode_eager_permute_order4_shape1_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_backward_stride_ordering_mode_inductor_permute_order0_shape0_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_stride_ordering_mode_eager_permute_order0_shape1_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_stride_ordering_mode_eager_permute_order1_shape0_cpu, 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test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims0_head_dims1_score_mod0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims0_head_dims1_score_mod1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims1_head_dims0_score_mod2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims1_head_dims1_score_mod2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims1_head_dims1_score_mod4_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims0_head_dims0_score_mod0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims0_head_dims0_score_mod3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims0_head_dims0_score_mod4_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims0_head_dims1_score_mod1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims1_head_dims0_score_mod2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims1_head_dims1_score_mod3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims2_head_dims0_score_mod1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims2_head_dims0_score_mod7_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims2_head_dims1_score_mod1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_load_from_bias_seq_batch_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_logsumexp_correctness_score_mod0_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_logsumexp_correctness_score_mod0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_make_block_mask_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_max_autotune_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_mixed_device_error_message_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_mixed_dtypes_fails_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_multiple_score_mod_calls2_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_multiple_score_mod_calls_paged_attention_cpu, 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test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_strided_inputs_q_s1_k_s1_v_s1_do_s2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_strided_inputs_q_s1_k_s2_v_s2_do_s1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_strided_inputs_q_s1_k_s2_v_s2_do_s2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_strided_inputs_q_s1_k_s3_v_s3_do_s2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_tma_with_customer_kernel_options_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_triton_template_warp_specialization_cpu, test/inductor/test_flex_attention.py::TestPagedAttentionCPU::test_paged_builtin_score_mods_score_mod1_cpu_bfloat16, test/inductor/test_flex_attention.py::TestPagedAttentionCPU::test_paged_builtin_score_mods_score_mod2_cpu_float32, test/inductor/test_flex_attention.py::TestPagedAttentionCPU::test_paged_builtin_score_mods_score_mod4_cpu_float16, test/inductor/test_flex_attention.py::TestPagedAttentionCPU::test_paged_builtin_score_mods_score_mod5_cpu_float16, test/inductor/test_flex_attention.py::TestPagedAttentionCPU::test_paged_builtin_score_mods_score_mod6_cpu_float32, test/inductor/test_flex_attention.py::TestPagedAttentionCPU::test_paged_builtin_score_mods_score_mod7_cpu_bfloat16, test/inductor/test_flex_attention.py::TestPagedAttentionCPU::test_paged_builtin_score_mods_score_mod7_cpu_float16, test/inductor/test_flex_attention.py::TestPagedAttentionCPU::test_paged_builtin_score_mods_score_mod7_cpu_float32, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_absolute_2d_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_backprop_error_case_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_distinct_biases_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_flex_attention_with_dynamic_max_autotune_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_head_specific_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_head_specific_gate_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_head_specific_gate_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_head_specific_gate_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_head_specific_gate_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_head_specific_gate_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_learnable_bias_global_compiled_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_local_window_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_local_window_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_symmetric_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_symmetric_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_weird_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_cpu 2025-12-04T08:43:41.7898710Z 2025-12-04T08:43:41.7899035Z Finished inductor/test_flex_attention 1/5 ... [2025-12-04 08:43:41.776229][2656.45896767], took 9.93min 2025-12-04T08:43:41.7900192Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-327683880d3ddfff.xml 2025-12-04T08:43:42.2883555Z Uploading artifacts took 0.45 seconds 2025-12-04T08:43:42.2884946Z Running inductor/test_flex_attention 2/5 ... [2025-12-04 08:43:42.288343][2656.971081148] 2025-12-04T08:43:42.2885441Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:43:42.2889015Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=2', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 08:43:42.288699] 2025-12-04T08:52:49.9712391Z 2025-12-04T08:52:49.9713456Z inductor/test_flex_attention 2/5 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_2.5_6e687f35d99cf8bf_.log 2025-12-04T08:52:49.9785045Z Running 138 items in this shard: test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_block_mask_non_divisible_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod0_BLOCK_SIZE2_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod0_BLOCK_SIZE2_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod0_BLOCK_SIZE3_cpu_bfloat16, 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test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_only_grad_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_only_grad_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_symmetric_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_symmetric_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_weird_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_weird_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_weird_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_cpu 2025-12-04T08:52:49.9855321Z 2025-12-04T08:52:49.9855691Z Finished inductor/test_flex_attention 2/5 ... [2025-12-04 08:52:49.971265][3204.654004097], took 9.13min 2025-12-04T08:52:49.9856860Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-7cc94fd57a9aa21a.xml 2025-12-04T08:52:50.0555568Z Running inductor/test_flex_attention 3/5 ... [2025-12-04 08:52:50.055229][3204.737968066] 2025-12-04T08:52:50.0556083Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:52:50.0558020Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=3', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 08:52:50.055570] 2025-12-04T09:02:09.9370468Z 2025-12-04T09:02:09.9371665Z inductor/test_flex_attention 3/5 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_3.5_492a411d8e85e9db_.log 2025-12-04T09:02:09.9444510Z Running 138 items in this shard: test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod5_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod7_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_aot_eager_gradcheck_score_mod0_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_aot_eager_gradcheck_score_mod2_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_aot_eager_gradcheck_score_mod3_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_backend_defaults_and_rejects_invalid_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_backend_rejects_legacy_force_use_flag_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_backend_triton_decode_errors_when_not_supported_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_backend_triton_decode_matches_auto_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_automatic_dynamic_score_mod7_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod0_BLOCK_SIZE_128_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod0_BLOCK_SIZE_256_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod1_BLOCK_SIZE_128_cpu_bfloat16, 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test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_local_window_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_multiplicative_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_only_grad_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_symmetric_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_weird_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_cpu 2025-12-04T09:02:09.9516367Z 2025-12-04T09:02:09.9516701Z Finished inductor/test_flex_attention 3/5 ... [2025-12-04 09:02:09.937080][3764.619816528], took 9.33min 2025-12-04T09:02:09.9517948Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-44df4e539ea3d385.xml 2025-12-04T09:02:10.0159494Z Running inductor/test_flex_attention 4/5 ... [2025-12-04 09:02:10.015641][3764.698378716] 2025-12-04T09:02:10.0160030Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:02:10.0161971Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=4', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:02:10.015978] 2025-12-04T09:10:57.8013555Z 2025-12-04T09:10:57.8014571Z inductor/test_flex_attention 4/5 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_4.5_0daec436409e3b73_.log 2025-12-04T09:10:57.8085962Z Running 132 items in this shard: test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod6_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_aot_eager_gradcheck_score_mod1_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_aot_eager_gradcheck_score_mod5_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod0_BLOCK_SIZE3_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod0_BLOCK_SIZE_256_cpu_float32, 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test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_symmetric_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_weird_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_cpu 2025-12-04T09:10:57.8155852Z 2025-12-04T09:10:57.8156219Z Finished inductor/test_flex_attention 4/5 ... [2025-12-04 09:10:57.801307][4292.484047043], took 8.80min 2025-12-04T09:10:57.8157392Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-99f3df8c448cf639.xml 2025-12-04T09:10:58.2665342Z Uploading artifacts took 0.38 seconds 2025-12-04T09:10:58.2666808Z Running inductor/test_flex_attention 5/5 ... [2025-12-04 09:10:58.266514][4292.949253531] 2025-12-04T09:10:58.2667301Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:58.2670963Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=5', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:10:58.266860] 2025-12-04T09:19:58.1263190Z 2025-12-04T09:19:58.1264273Z inductor/test_flex_attention 5/5 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_5.5_49087d49470e42bd_.log 2025-12-04T09:19:58.1337059Z Running 136 items in this shard: test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_aot_eager_gradcheck_score_mod4_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_backend_auto_matches_triton_large_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_backend_triton_decode_errors_with_non_power_of_two_gqa_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_automatic_dynamic_score_mod4_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_automatic_dynamic_score_mod5_cpu_float32, 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test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_dynamic_score_mask_mod0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_dynamic_score_mask_mod3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_dynamic_score_mask_mod6_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_score_mod0_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_score_mod3_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_score_mod6_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_score_mod6_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_score_mod7_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_seqlen_lt_default_sparse_block_size_score_mod7_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_captured_buffers_all_dims_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_causal_block_paged_attention_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_custom_block_mask_generator_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_dynamic_shapes_with_custom_kernel_options_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_dynamic_shapes_with_max_autotune_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_epilogue_fused_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_backward_stride_ordering_mode_eager_permute_order1_shape1_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_backward_stride_ordering_mode_eager_permute_order3_shape0_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_backward_stride_ordering_mode_eager_permute_order3_shape1_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_backward_stride_ordering_mode_inductor_permute_order4_shape0_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_stride_ordering_mode_eager_permute_order1_shape1_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_stride_ordering_mode_inductor_permute_order0_shape0_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_fully_masked_out_rows_0_check_compile_True_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_invalid_block_size_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims0_head_dims0_score_mod6_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims0_head_dims0_score_mod7_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims0_head_dims1_score_mod2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims0_head_dims1_score_mod5_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims1_head_dims0_score_mod1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims1_head_dims0_score_mod4_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims1_head_dims0_score_mod5_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims1_head_dims0_score_mod6_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims1_head_dims1_score_mod1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims1_head_dims1_score_mod3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims1_head_dims1_score_mod5_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims1_head_dims1_score_mod7_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims2_head_dims0_score_mod0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims2_head_dims0_score_mod4_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims2_head_dims0_score_mod6_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims2_head_dims1_score_mod6_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims0_head_dims0_score_mod1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims0_head_dims0_score_mod2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims0_head_dims0_score_mod7_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims0_head_dims1_score_mod2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims0_head_dims1_score_mod3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims1_head_dims0_score_mod0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims1_head_dims0_score_mod1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims1_head_dims0_score_mod5_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims1_head_dims1_score_mod2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims2_head_dims1_score_mod2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_large_batch_heads_grid_dimension_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_lse_masked_output_backend_flex_attention_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_lse_masked_output_backend_flex_decode_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_mask_mod_combiners_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_mask_mod_handles_symint_addition_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_max_autotune_with_captured_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_modular_indexing_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_contiguous_last_dim_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod1_head_dims0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod1_head_dims1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod2_head_dims0_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod3_head_dims1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod4_head_dims1_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod4_head_dims1_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod6_head_dims0_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod6_head_dims1_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod7_head_dims0_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_pow_2_headdim_head_dim_24_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_qkv_and_block_mask_on_the_same_device_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_reduction_unrolled_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_return_aux__inverse_causal_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_return_aux__rel_bias_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_return_max__causal_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_selective_ac_ops_to_save0_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_silu_on_score_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_skip_odd_keys_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_small_block_mask_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_strided_inputs_q_s0_k_s0_v_s0_do_s2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_strided_inputs_q_s0_k_s1_v_s1_do_s0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_strided_inputs_q_s1_k_s0_v_s0_do_s1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_strided_inputs_q_s1_k_s0_v_s0_do_s2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_tensor_subclass_dispatch_order_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_validate_small_embedding_size_error_message_cpu, test/inductor/test_flex_attention.py::TestPagedAttentionCPU::test_paged_builtin_score_mods_score_mod0_cpu_bfloat16, test/inductor/test_flex_attention.py::TestPagedAttentionCPU::test_paged_builtin_score_mods_score_mod1_cpu_float32, test/inductor/test_flex_attention.py::TestPagedAttentionCPU::test_paged_builtin_score_mods_score_mod3_cpu_float32, test/inductor/test_flex_attention.py::TestPagedAttentionCPU::test_paged_builtin_score_mods_score_mod4_cpu_float32, test/inductor/test_flex_attention.py::TestPagedAttentionCPU::test_paged_builtin_score_mods_score_mod6_cpu_bfloat16, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_batch_head_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_distinct_biases_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_distinct_biases_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_distinct_biases_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_distinct_biases_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_flipped_indexed_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_global_tokens_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_head_specific_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_head_specific_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_head_specific_gate_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_head_specific_gate_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_learnable_bias_global_compiled_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_learnable_bias_global_compiled_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_local_window_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_multiplicative_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_multiplicative_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_only_grad_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_only_grad_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_symmetric_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_symmetric_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_symmetric_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_mode_default_cpu 2025-12-04T09:19:58.1408128Z 2025-12-04T09:19:58.1408460Z Finished inductor/test_flex_attention 5/5 ... [2025-12-04 09:19:58.126383][4832.809121478], took 9.00min 2025-12-04T09:19:58.1409628Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-1141456ed170c509.xml 2025-12-04T09:19:58.2099265Z Running inductor/test_cutlass_backend 1/1 ... [2025-12-04 09:19:58.209637][4832.892375238] 2025-12-04T09:19:58.2099791Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:19:58.2102104Z Executing ['/opt/conda/envs/py_3.14/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'] ... [2025-12-04 09:19:58.209982] 2025-12-04T09:20:04.6167267Z 2025-12-04T09:20:04.6168278Z 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_412edb0b2bb439eb_.log 2025-12-04T09:20:04.6169032Z 2025-12-04T09:20:04.6169375Z Finished inductor/test_cutlass_backend 1/1 ... [2025-12-04 09:20:04.616539][4839.299279492], took 0.11min 2025-12-04T09:20:04.6193962Z Running inductor/test_benchmark_fusion 1/1 ... [2025-12-04 09:20:04.619167][4839.301907587] 2025-12-04T09:20:04.6194499Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:20:04.6196922Z Executing ['/opt/conda/envs/py_3.14/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'] ... [2025-12-04 09:20:04.619465] 2025-12-04T09:20:17.8517271Z 2025-12-04T09:20:17.8518412Z 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_4451ef535d5b2baa_.log 2025-12-04T09:20:17.8521802Z Running 6 items in this shard: test/inductor/test_benchmark_fusion.py::BenchmarkFusionCpuTest::test_avoid_register_spilling_cpu, test/inductor/test_benchmark_fusion.py::BenchmarkFusionCpuTest::test_foreach_kernel_cpu, test/inductor/test_benchmark_fusion.py::BenchmarkFusionCpuTest::test_register_spills_cpu, test/inductor/test_benchmark_fusion.py::BenchmarkFusionCpuTest::test_resnet18_cpu, test/inductor/test_benchmark_fusion.py::BenchmarkFusionCpuTest::test_softmax_cpu, test/inductor/test_benchmark_fusion.py::BenchmarkFusionCpuTest::test_tield_kernel_fusion_cpu 2025-12-04T09:20:17.8524261Z 2025-12-04T09:20:17.8524598Z Finished inductor/test_benchmark_fusion 1/1 ... [2025-12-04 09:20:17.851552][4852.534292912], took 0.22min 2025-12-04T09:20:17.8543082Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_benchmark_fusion/inductor.test_benchmark_fusion-bed320f4e766d483.xml 2025-12-04T09:20:17.9262390Z Running inductor/test_distributed_patterns 1/1 ... [2025-12-04 09:20:17.925938][4852.608676348] 2025-12-04T09:20:17.9262944Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:20:17.9265188Z Executing ['/opt/conda/envs/py_3.14/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'] ... [2025-12-04 09:20:17.926297] 2025-12-04T09:20:41.5225418Z 2025-12-04T09:20:41.5227067Z 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_93328612ed0b6f61_.log 2025-12-04T09:20:41.5245921Z Running 20 items in this shard: test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_fake_distributed_aot_eager, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_fake_distributed_inductor, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_intermediate_hook_with_closure, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_intermediate_hook_with_nested_closure, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_module_backward_hooks_aot, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_module_backward_hooks_eager, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_module_backward_hooks_inductor, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_module_backward_hooks_multi_layers, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_nn_param_return1, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_nn_param_return2, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_nn_param_return3, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_nn_param_return4, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_storage_resize_nonzero_cpu, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_storage_resize_nonzero_gpu, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_storage_resize_zero_cpu, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_storage_resize_zero_gpu, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_unsafe_preserve_version_counter1, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_unsafe_preserve_version_counter2, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_unsafe_set_version_counter1, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_unsafe_set_version_counter2 2025-12-04T09:20:41.5264875Z 2025-12-04T09:20:41.5265543Z Finished inductor/test_distributed_patterns 1/1 ... [2025-12-04 09:20:41.522345][4876.205084563], took 0.39min 2025-12-04T09:20:41.5268083Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_distributed_patterns/inductor.test_distributed_patterns-364020efe1b46c67.xml 2025-12-04T09:20:41.6324593Z Running test_sort_and_select 1/1 ... [2025-12-04 09:20:41.632140][4876.314877837] 2025-12-04T09:20:41.6325391Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:20:41.6327848Z Executing ['/opt/conda/envs/py_3.14/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'] ... [2025-12-04 09:20:41.632498] 2025-12-04T09:20:46.3544916Z 2025-12-04T09:20:46.3545804Z 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_357170eeddca9f64_.log 2025-12-04T09:20:46.3584558Z 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_float16, 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 2025-12-04T09:20:46.3621993Z 2025-12-04T09:20:46.3622270Z Finished test_sort_and_select 1/1 ... [2025-12-04 09:20:46.354430][4881.037170182], took 0.08min 2025-12-04T09:20:46.3623291Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_sort_and_select/test_sort_and_select-a511ac7a45931d34.xml 2025-12-04T09:20:46.3924764Z Running test_privateuseone_python_backend 1/1 ... [2025-12-04 09:20:46.392275][4881.07501415] 2025-12-04T09:20:46.3925359Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:20:46.3927580Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_privateuseone_python_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'] ... [2025-12-04 09:20:46.392550] 2025-12-04T09:20:49.2607438Z 2025-12-04T09:20:49.2608465Z test_privateuseone_python_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_privateuseone_python_backend_1.1_456b94275c1240d0_.log 2025-12-04T09:20:49.2610119Z Running 2 items in this shard: test/test_privateuseone_python_backend.py::PrivateUse1BackendTest::test_accessing_is_pinned, test/test_privateuseone_python_backend.py::PrivateUse1BackendTest::test_backend_simple 2025-12-04T09:20:49.2611048Z 2025-12-04T09:20:49.2611390Z Finished test_privateuseone_python_backend 1/1 ... [2025-12-04 09:20:49.260552][4883.943292648], took 0.05min 2025-12-04T09:20:49.2636218Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_privateuseone_python_backend/test_privateuseone_python_backend-7f952c2a06e474b4.xml 2025-12-04T09:20:49.2973762Z Running test_cpp_api_parity 1/1 ... [2025-12-04 09:20:49.297057][4883.979795237] 2025-12-04T09:20:49.2976144Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:20:49.2977958Z Executing ['/opt/conda/envs/py_3.14/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'] ... [2025-12-04 09:20:49.297422] 2025-12-04T09:21:03.4809358Z 2025-12-04T09:21:03.4810342Z 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_f2e92ceff10d481c_.log 2025-12-04T09:21:03.4999983Z 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, 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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 2025-12-04T09:21:03.5187768Z 2025-12-04T09:21:03.5188058Z Finished test_cpp_api_parity 1/1 ... [2025-12-04 09:21:03.481378][4898.164115], took 0.24min 2025-12-04T09:21:03.5189067Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_api_parity/test_cpp_api_parity-93e445631b1ff5a4.xml 2025-12-04T09:21:03.5569675Z Running test_extension_utils 1/1 ... [2025-12-04 09:21:03.556701][4898.239437988] 2025-12-04T09:21:03.5570189Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:21:03.5572389Z Executing ['/opt/conda/envs/py_3.14/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'] ... [2025-12-04 09:21:03.557031] 2025-12-04T09:21:06.3750959Z 2025-12-04T09:21:06.3751965Z test_extension_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_extension_utils_1.1_85902ca486763771_.log 2025-12-04T09:21:06.3753494Z 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 2025-12-04T09:21:06.3754402Z 2025-12-04T09:21:06.3754676Z Finished test_extension_utils 1/1 ... [2025-12-04 09:21:06.374905][4901.057645012], took 0.05min 2025-12-04T09:21:06.3781559Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_extension_utils/test_extension_utils-43bd1362d4bb0b51.xml 2025-12-04T09:21:06.4096929Z Running test_show_pickle 1/1 ... [2025-12-04 09:21:06.409434][4901.092173797] 2025-12-04T09:21:06.4097396Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:21:06.4099808Z Executing ['/opt/conda/envs/py_3.14/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'] ... [2025-12-04 09:21:06.409754] 2025-12-04T09:21:09.2778412Z 2025-12-04T09:21:09.2779206Z test_show_pickle 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_show_pickle_1.1_7fa17e4d2072440c_.log 2025-12-04T09:21:09.2780157Z Running 1 items in this shard: test/test_show_pickle.py::TestShowPickle::test_scripted_model 2025-12-04T09:21:09.2780607Z 2025-12-04T09:21:09.2780858Z Finished test_show_pickle 1/1 ... [2025-12-04 09:21:09.277623][4903.960363769], took 0.05min 2025-12-04T09:21:09.2809725Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_show_pickle/test_show_pickle-71ac84b4428a4b7c.xml 2025-12-04T09:21:09.3073133Z Running test_tensorexpr 1/1 ... [2025-12-04 09:21:09.307120][4903.989860828] 2025-12-04T09:21:09.3073607Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:21:09.3076083Z Executing ['/opt/conda/envs/py_3.14/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'] ... [2025-12-04 09:21:09.307417] 2025-12-04T09:21:29.2978636Z 2025-12-04T09:21:29.2979481Z test_tensorexpr 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorexpr_1.1_cf58c4c2fbfb463e_.log 2025-12-04T09:21:29.3000047Z 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 2025-12-04T09:21:29.3019957Z 2025-12-04T09:21:29.3020222Z Finished test_tensorexpr 1/1 ... [2025-12-04 09:21:29.297706][4923.980446119], took 0.33min 2025-12-04T09:21:29.3021207Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_tensorexpr/test_tensorexpr-0e41bb5546f7fa9e.xml 2025-12-04T09:21:29.3677323Z Running test_namedtuple_return_api 1/1 ... [2025-12-04 09:21:29.367435][4924.050173554] 2025-12-04T09:21:29.3678032Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:21:29.3680234Z Executing ['/opt/conda/envs/py_3.14/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'] ... [2025-12-04 09:21:29.367812] 2025-12-04T09:21:33.0371252Z 2025-12-04T09:21:33.0372215Z 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_c032de17be234e7d_.log 2025-12-04T09:21:33.0374202Z 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 2025-12-04T09:21:33.0375379Z 2025-12-04T09:21:33.0375700Z Finished test_namedtuple_return_api 1/1 ... [2025-12-04 09:21:33.036930][4927.719670708], took 0.06min 2025-12-04T09:21:33.0405689Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_namedtuple_return_api/test_namedtuple_return_api-90fb76df8f513aca.xml 2025-12-04T09:21:33.0692984Z Running test_fake_tensor 1/1 ... [2025-12-04 09:21:33.069098][4927.7518377] 2025-12-04T09:21:33.0693637Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:21:33.0696046Z Executing ['/opt/conda/envs/py_3.14/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'] ... [2025-12-04 09:21:33.069392] 2025-12-04T09:21:44.1987403Z 2025-12-04T09:21:44.1988431Z test_fake_tensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fake_tensor_1.1_411c82ea412703d1_.log 2025-12-04T09:21:44.2106673Z Running 299 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_conv_nhwc, 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_device, test/test_fake_tensor.py::FakeTensorTest::test_fake_dispatch_keys, test/test_fake_tensor.py::FakeTensorTest::test_fake_grad_copy, test/test_fake_tensor.py::FakeTensorTest::test_fake_mode_error, test/test_fake_tensor.py::FakeTensorTest::test_fast_div, test/test_fake_tensor.py::FakeTensorTest::test_fast_div_int_to_float, 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_nanmean_out, test/test_fake_tensor.py::FakeTensorTest::test_new, test/test_fake_tensor.py::FakeTensorTest::test_no_tag_func, 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_op_with_zero_dim_bypassed, 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_unbind_copy_out, 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_conv_nhwc_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_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fake_dispatch_keys_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fake_grad_copy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fake_mode_error_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fast_div_int_to_float_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fast_div_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_from_numpy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fsdp_flat_param_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_full_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_complex128_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_complex64_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float32_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float64_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float8_e4m3fn_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float8_e4m3fnuz_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float8_e5m2_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float8_e5m2fnuz_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_int16_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_int32_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_int64_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_int8_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_uint8_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_put_error_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_jagged_fake_to_fake_preserved_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_like_constructor_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_mixed_real_and_fake_inputs_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_mode_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_nan_to_num_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_nanmean_out_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_new_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_no_tag_func_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_op_with_zero_dim_bypassed_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_unbind_copy_out_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_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_move_meta_tensor, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_move_module_under_fake, 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_module_to_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_move_meta_tensor_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_move_module_under_fake_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_nan_to_num, 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_nan_to_num_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_nonzero_stride_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_torch_load_with_fake_mode_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_unbacked_shape_realloc_propagate_real_tensors, test/test_fake_tensor.py::FakeTensorSerialization::test_serialization, test/test_fake_tensor.py::FakeTensorSerialization::test_serialization_with_tracing, test/test_fake_tensor.py::FakeTensorDispatchCache::test__upsample_bilinear2d_aa_backward_dynamic_shapes, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_aten_index, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_bypass, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_default_device, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_default_dtype, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_dispatch_key_set, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_hit, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_inplace_op, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_constants, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_device, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_dtype, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_is_conj, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_is_inference, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_is_neg, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_memory_format, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_requires_grad, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_shape, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_storage_offset, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_stride, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_tuple_outputs, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_view_op, test/test_fake_tensor.py::FakeTensorDispatchCache::test_empty_list, test/test_fake_tensor.py::FakeTensorDispatchCache::test_fft_hfft2_issue145522, test/test_fake_tensor.py::FakeTensorDispatchCache::test_from_buffer, test/test_fake_tensor.py::FakeTensorDispatchCache::test_inference_mode, test/test_fake_tensor.py::FakeTensorDispatchCache::test_invoke_subgraph, test/test_fake_tensor.py::FakeTensorDispatchCache::test_invoke_subgraph_cacheable_inplace, test/test_fake_tensor.py::FakeTensorDispatchCache::test_meta_tensor_to_fake_cpu, test/test_fake_tensor.py::FakeTensorDispatchCache::test_shape_env_settings, test/test_fake_tensor.py::FakeTensorDispatchCache::test_unbacked_output, test/test_fake_tensor.py::FakeTensorDispatchCache::test_wrapper_tensor_subclass_different_device, test/test_fake_tensor.py::FakeTensorPreferDeviceType::test_fake_tensor_prefer_device_type, test/test_fake_tensor.py::FakeTensorPreferDeviceType::test_fake_tensor_prefer_device_type_cpu_only 2025-12-04T09:21:44.2224139Z 2025-12-04T09:21:44.2224400Z Finished test_fake_tensor 1/1 ... [2025-12-04 09:21:44.198937][4938.881675032], took 0.19min 2025-12-04T09:21:44.2225380Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_fake_tensor/test_fake_tensor-128ec13ba7f35fd7.xml 2025-12-04T09:21:44.2849539Z Running test_multiprocessing 1/1 ... [2025-12-04 09:21:44.284633][4938.967371096] 2025-12-04T09:21:44.2850018Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:21:44.2852235Z Executing ['/opt/conda/envs/py_3.14/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'] ... [2025-12-04 09:21:44.284983] 2025-12-04T09:22:38.3231718Z 2025-12-04T09:22:38.3233296Z test_multiprocessing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_1.1_fda657d91ae7dc84_.log 2025-12-04T09:22:38.3263878Z Running 42 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_rebuild_cuda_tensor, 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 2025-12-04T09:22:38.3294400Z 2025-12-04T09:22:38.3295013Z Finished test_multiprocessing 1/1 ... [2025-12-04 09:22:38.322952][4993.005692324], took 0.90min 2025-12-04T09:22:38.3297417Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_multiprocessing/test_multiprocessing-a03f4f6910a5f9ef.xml 2025-12-04T09:22:38.3977078Z Running test_autograd_fallback 1/1 ... [2025-12-04 09:22:38.397353][4993.080090267] 2025-12-04T09:22:38.3977829Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:38.3979643Z Executing ['/opt/conda/envs/py_3.14/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'] ... [2025-12-04 09:22:38.397678] 2025-12-04T09:22:41.4660250Z 2025-12-04T09:22:41.4661178Z test_autograd_fallback 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autograd_fallback_1.1_a185bbc5b96f276b_.log 2025-12-04T09:22:41.4673589Z 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 2025-12-04T09:22:41.4685698Z 2025-12-04T09:22:41.4685997Z Finished test_autograd_fallback 1/1 ... [2025-12-04 09:22:41.465866][4996.148606465], took 0.05min 2025-12-04T09:22:41.4697806Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_autograd_fallback/test_autograd_fallback-5b600dde4fd1621c.xml 2025-12-04T09:22:41.5004484Z Running test_autocast 1/1 ... [2025-12-04 09:22:41.500248][4996.182987198] 2025-12-04T09:22:41.5005040Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:41.5007311Z Executing ['/opt/conda/envs/py_3.14/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'] ... [2025-12-04 09:22:41.500527] 2025-12-04T09:22:45.0697081Z 2025-12-04T09:22:45.0697908Z test_autocast 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autocast_1.1_a22fb7c5e086c5ed_.log 2025-12-04T09:22:45.0704241Z 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 2025-12-04T09:22:45.0710545Z 2025-12-04T09:22:45.0710794Z Finished test_autocast 1/1 ... [2025-12-04 09:22:45.069434][4999.752174685], took 0.06min 2025-12-04T09:22:45.0735126Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_autocast/test_autocast-5dbccf47aef3f443.xml 2025-12-04T09:22:45.1047845Z Running test_jit_disabled 1/1 ... [2025-12-04 09:22:45.104549][4999.787287952] 2025-12-04T09:22:45.1048308Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:45.1050708Z Executing ['/opt/conda/envs/py_3.14/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'] ... [2025-12-04 09:22:45.104875] 2025-12-04T09:22:47.8401140Z 2025-12-04T09:22:47.8401968Z test_jit_disabled 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_disabled_1.1_95472e946f1f41c7_.log 2025-12-04T09:22:47.8402621Z 2025-12-04T09:22:47.8402903Z Finished test_jit_disabled 1/1 ... [2025-12-04 09:22:47.839889][5002.522628327], took 0.05min 2025-12-04T09:22:47.8443543Z Running test_cpp_extensions_mtia_backend 1/1 ... [2025-12-04 09:22:47.844196][5002.526937668] 2025-12-04T09:22:47.8444128Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:47.8447027Z Executing ['/opt/conda/envs/py_3.14/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'] ... [2025-12-04 09:22:47.844474] 2025-12-04T09:22:51.6639266Z 2025-12-04T09:22:51.6640284Z 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_db38a0c7a280f22e_.log 2025-12-04T09:22:51.6643413Z 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 2025-12-04T09:22:51.6645593Z 2025-12-04T09:22:51.6645932Z Finished test_cpp_extensions_mtia_backend 1/1 ... [2025-12-04 09:22:51.663750][5006.346490734], took 0.06min 2025-12-04T09:22:51.6679532Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_mtia_backend/test_cpp_extensions_mtia_backend-e2094f96e78e94de.xml 2025-12-04T09:22:51.7565020Z Running test_cpp_extensions_stream_and_event 1/1 ... [2025-12-04 09:22:51.756189][5006.438927383] 2025-12-04T09:22:51.7565572Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:51.7567487Z Executing ['/opt/conda/envs/py_3.14/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'] ... [2025-12-04 09:22:51.756518] 2025-12-04T09:22:55.5259128Z 2025-12-04T09:22:55.5260152Z 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_854556fa39332876_.log 2025-12-04T09:22:55.5261419Z Running 1 items in this shard: test/test_cpp_extensions_stream_and_event.py::TestCppExtensionStreamAndEvent::test_stream_event 2025-12-04T09:22:55.5262217Z 2025-12-04T09:22:55.5262571Z Finished test_cpp_extensions_stream_and_event 1/1 ... [2025-12-04 09:22:55.525711][5010.208451263], took 0.06min 2025-12-04T09:22:55.5300192Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_stream_and_event/test_cpp_extensions_stream_and_event-ddab44db19aed723.xml 2025-12-04T09:22:55.5600463Z Running test_dispatch 1/1 ... [2025-12-04 09:22:55.559816][5010.242554711] 2025-12-04T09:22:55.5600911Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:55.5603546Z Executing ['/opt/conda/envs/py_3.14/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'] ... [2025-12-04 09:22:55.560138] 2025-12-04T09:23:22.1095455Z 2025-12-04T09:23:22.1096439Z test_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dispatch_1.1_280b52e85de8b537_.log 2025-12-04T09:23:22.1106726Z 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 2025-12-04T09:23:22.1116238Z 2025-12-04T09:23:22.1116484Z Finished test_dispatch 1/1 ... [2025-12-04 09:23:22.109402][5036.79214024], took 0.44min 2025-12-04T09:23:22.1138204Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_dispatch/test_dispatch-16cf3512308db5e0.xml 2025-12-04T09:23:22.1929578Z Running nn/test_convolution 1/1 ... [2025-12-04 09:23:22.192721][5036.875460963] 2025-12-04T09:23:22.1930077Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:23:22.1932249Z Executing ['/opt/conda/envs/py_3.14/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'] ... [2025-12-04 09:23:22.193028] 2025-12-04T09:23:43.7886843Z 2025-12-04T09:23:43.7887779Z nn/test_convolution 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_convolution_1.1_4cbe51b7249cbe27_.log 2025-12-04T09:23:43.8232776Z Running 604 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_conv3d_overflow_values, test/nn/test_convolution.py::TestConvolutionNN::test_conv_aten_invalid_groups, 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_huge_padding, 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_dilation_1_cpu_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_1_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_1_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_1_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_1_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_2_cpu_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_2_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_2_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_2_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_2_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_3_cpu_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_3_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_3_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_3_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_3_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_large_workspace_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_large_workspace_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_large_workspace_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_naive_groups_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_size_1_kernel_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv3d_depthwise_naive_groups_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv3d_depthwise_naive_groups_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv3d_depthwise_naive_groups_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_ConvTranspose2d_large_output_padding_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_ConvTranspose2d_large_output_padding_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_ConvTranspose2d_size_1_kernel_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_ConvTranspose3d_size_1_kernel_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_contig_wrong_stride_cudnn_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv1d_same_padding_backward_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv1d_same_padding_backward_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv1d_same_padding_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv1d_same_padding_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv1d_valid_padding_backward_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv1d_valid_padding_backward_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv1d_valid_padding_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv1d_valid_padding_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv1d_vs_scipy_mode_same_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv1d_vs_scipy_mode_same_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv1d_vs_scipy_mode_valid_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv1d_vs_scipy_mode_valid_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv2d_no_grad_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv2d_same_padding_backward_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv2d_same_padding_backward_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv2d_same_padding_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv2d_same_padding_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv2d_valid_padding_backward_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv2d_valid_padding_backward_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv2d_valid_padding_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv2d_valid_padding_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv2d_vs_scipy_mode_same_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv2d_vs_scipy_mode_same_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv2d_vs_scipy_mode_valid_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv2d_vs_scipy_mode_valid_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv3d_64bit_indexing_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv3d_cudnn_broken_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv3d_same_padding_backward_cpu_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv3d_same_padding_backward_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv3d_same_padding_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv3d_same_padding_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv3d_valid_padding_backward_cpu_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv3d_valid_padding_backward_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv3d_valid_padding_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv3d_valid_padding_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv3d_vs_scipy_mode_same_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv3d_vs_scipy_mode_same_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv3d_vs_scipy_mode_valid_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv3d_vs_scipy_mode_valid_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_convTranspose_empty_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise1d_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise1d_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise1d_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise1d_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise1d_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise1d_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise1d_has_bias_True_strided_True_contiguous_False_cpu, 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test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_transposed_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_transposed_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_transposed_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cpu_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cpu_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cpu_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cpu_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cpu_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cpu_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cpu_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cpu_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cuda_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cuda_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cuda_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cuda_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cuda_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cuda_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cuda_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cuda_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_contiguous_for_oneDNN_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_mismatch_memory_format_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_ndhwc_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_ndhwc_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_nhwc_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_nhwc_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_nhwc_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_nhwc_support_cpu_bfloat16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_nhwc_support_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_nhwc_support_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_nhwc_support_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_double_backward_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_double_backward_groups_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_double_backward_no_bias_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_double_backward_stride_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_double_backward_strided_with_3D_input_and_weight_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_empty_channel_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_empty_channel_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_ic1_channels_last_for_oneDNN_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_large_batch_1_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_large_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_large_nosplit_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_noncontig_weights_and_bias_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_noncontig_weights_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_thnn_nhwc_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_thnn_nhwc_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_transpose_with_output_size_and_no_batch_dim_ConvTranspose2d_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_transpose_with_output_size_and_no_batch_dim_ConvTranspose3d_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_transposed_large_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_convert_conv2d_weight_memory_format_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_convert_conv3d_weight_memory_format_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_cudnn_convolution_add_relu_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_cudnn_convolution_add_relu_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_cudnn_convolution_relu_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_cudnn_convolution_relu_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_depthwise_conv_64bit_indexing_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_group_convTranspose_empty_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_group_conv_empty_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_noncontig_conv_grad_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_noncontig_conv_grad_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_noncontig_conv_grad_cpu_float64 2025-12-04T09:23:43.8570476Z 2025-12-04T09:23:43.8570795Z Finished nn/test_convolution 1/1 ... [2025-12-04 09:23:43.789440][5058.472177201], took 0.36min 2025-12-04T09:23:43.8572062Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_convolution/nn.test_convolution-0623f2aecef91a18.xml 2025-12-04T09:23:43.8836793Z Running test_cpp_extensions_jit 1/1 ... [2025-12-04 09:23:43.883415][5058.566153388] 2025-12-04T09:23:43.8837286Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:23:43.8839667Z Executing ['/opt/conda/envs/py_3.14/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'] ... [2025-12-04 09:23:43.883757] 2025-12-04T09:24:21.8492688Z 2025-12-04T09:24:21.8493624Z 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_d2aed097546aa677_.log 2025-12-04T09:24:21.8507638Z Running 35 items in this shard: test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_aoti_torch_call_dispatcher, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_autograd_from_cpp, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_compilation_error_formatting, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cpp_frontend_module_has_same_output_as_python, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cpp_frontend_module_has_up_to_date_attributes, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cpp_frontend_module_python_inter_op, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cpp_frontend_module_python_inter_op_with_cuda, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cuda_arch_flags_default_gencode, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cuda_arch_flags_non_default_gencode, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cuda_pluggable_allocator_include, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_custom_compound_op_autograd, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_custom_functorch_error, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_gen_extension_h_pch, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_half_support, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_custom_op_cuda, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_cuda, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_multiple_sources_and_no_functions, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_throws_when_functions_is_bad, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_with_functions_as_dict, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_with_functions_as_list, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_xpu, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_compile_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_cuda_archflags, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_cuda_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_cudnn_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_xpu_archlists, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_xpu_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_lenient_flag_handling_in_jit_extensions, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_load_with_non_platform_default_encoding, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_mps_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_pch_command_injection, 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 2025-12-04T09:24:21.8521270Z 2025-12-04T09:24:21.8521661Z Finished test_cpp_extensions_jit 1/1 ... [2025-12-04 09:24:21.849154][5096.531892059], took 0.63min 2025-12-04T09:24:21.8537361Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_jit/test_cpp_extensions_jit-15eb5262d594f348.xml 2025-12-04T09:24:21.9273026Z Running test_cuda_trace 1/1 ... [2025-12-04 09:24:21.927043][5096.609780415] 2025-12-04T09:24:21.9273485Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:24:21.9276120Z Executing ['/opt/conda/envs/py_3.14/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'] ... [2025-12-04 09:24:21.927405] 2025-12-04T09:24:24.6823307Z 2025-12-04T09:24:24.6824108Z test_cuda_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_trace_1.1_cc97ed0eb1d44e7d_.log 2025-12-04T09:24:24.6824840Z Running 0 items in this shard: 2025-12-04T09:24:24.6825050Z 2025-12-04T09:24:24.6825303Z Finished test_cuda_trace 1/1 ... [2025-12-04 09:24:24.682163][5099.364903542], took 0.05min 2025-12-04T09:24:24.6868403Z Running test_native_mha 1/1 ... [2025-12-04 09:24:24.686692][5099.369433477] 2025-12-04T09:24:24.6869043Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:24:24.6871571Z Executing ['/opt/conda/envs/py_3.14/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'] ... [2025-12-04 09:24:24.686973] 2025-12-04T09:24:27.8054908Z 2025-12-04T09:24:27.8055854Z test_native_mha 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_native_mha_1.1_a7f21a1de4f6916a_.log 2025-12-04T09:24:27.8077873Z 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 2025-12-04T09:24:27.8098315Z 2025-12-04T09:24:27.8098649Z Finished test_native_mha 1/1 ... [2025-12-04 09:24:27.805334][5102.488074605], took 0.05min 2025-12-04T09:24:27.8100244Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_native_mha/test_native_mha-74a1db91442f3d9d.xml 2025-12-04T09:24:27.8797764Z Running test_cuda_nvml_based_avail 1/1 ... [2025-12-04 09:24:27.879517][5102.562256433] 2025-12-04T09:24:27.8798481Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:24:27.8800923Z Executing ['/opt/conda/envs/py_3.14/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'] ... [2025-12-04 09:24:27.879830] 2025-12-04T09:24:30.6415001Z 2025-12-04T09:24:30.6416042Z 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_f9b121bdb1437e96_.log 2025-12-04T09:24:30.6416839Z Running 0 items in this shard: 2025-12-04T09:24:30.6417110Z 2025-12-04T09:24:30.6417403Z Finished test_cuda_nvml_based_avail 1/1 ... [2025-12-04 09:24:30.641297][5105.324037852], took 0.05min 2025-12-04T09:24:30.6460959Z Running test_mobile_optimizer 1/1 ... [2025-12-04 09:24:30.645920][5105.328661372] 2025-12-04T09:24:30.6461612Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:24:30.6464292Z Executing ['/opt/conda/envs/py_3.14/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'] ... [2025-12-04 09:24:30.646202] 2025-12-04T09:24:35.7676005Z 2025-12-04T09:24:35.7676916Z test_mobile_optimizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mobile_optimizer_1.1_611b051fb5b7b60e_.log 2025-12-04T09:24:35.7679993Z 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 2025-12-04T09:24:35.7682604Z 2025-12-04T09:24:35.7682890Z Finished test_mobile_optimizer 1/1 ... [2025-12-04 09:24:35.767400][5110.450139749], took 0.09min 2025-12-04T09:24:35.7721722Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_mobile_optimizer/test_mobile_optimizer-c4146c866e69ecaf.xml 2025-12-04T09:24:35.8482455Z Running test_cuda_primary_ctx 1/1 ... [2025-12-04 09:24:35.847954][5110.530692454] 2025-12-04T09:24:35.8482950Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:24:35.8484943Z Executing ['/opt/conda/envs/py_3.14/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'] ... [2025-12-04 09:24:35.848277] 2025-12-04T09:24:38.6500598Z 2025-12-04T09:24:38.6501620Z 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_7bee3c8f8ac94300_.log 2025-12-04T09:24:38.6502629Z Running 0 items in this shard: 2025-12-04T09:24:38.6502822Z 2025-12-04T09:24:38.6503108Z Finished test_cuda_primary_ctx 1/1 ... [2025-12-04 09:24:38.649877][5113.332618236], took 0.05min 2025-12-04T09:24:38.6547988Z Running distributions/test_distributions 1/1 ... [2025-12-04 09:24:38.654625][5113.33736614] 2025-12-04T09:24:38.6548522Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:24:38.6550955Z Executing ['/opt/conda/envs/py_3.14/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'] ... [2025-12-04 09:24:38.654902] 2025-12-04T09:25:21.1262402Z 2025-12-04T09:25:21.1263725Z distributions/test_distributions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/distributions.test_distributions_1.1_f95adbb8f6e86134_.log 2025-12-04T09:25:21.1354452Z Running 230 items in this shard: test/distributions/test_distributions.py::TestDistributions::test_argmax_relaxed_categorical, test/distributions/test_distributions.py::TestDistributions::test_bernoulli, test/distributions/test_distributions.py::TestDistributions::test_bernoulli_3d, test/distributions/test_distributions.py::TestDistributions::test_bernoulli_enumerate_support, test/distributions/test_distributions.py::TestDistributions::test_beta_log_prob, test/distributions/test_distributions.py::TestDistributions::test_beta_sample, test/distributions/test_distributions.py::TestDistributions::test_beta_shape, test/distributions/test_distributions.py::TestDistributions::test_beta_underflow, test/distributions/test_distributions.py::TestDistributions::test_beta_underflow_gpu, test/distributions/test_distributions.py::TestDistributions::test_binomial, test/distributions/test_distributions.py::TestDistributions::test_binomial_bfloat16, test/distributions/test_distributions.py::TestDistributions::test_binomial_enumerate_support, test/distributions/test_distributions.py::TestDistributions::test_binomial_extreme_vals, test/distributions/test_distributions.py::TestDistributions::test_binomial_half, test/distributions/test_distributions.py::TestDistributions::test_binomial_log_prob_and_entropy, test/distributions/test_distributions.py::TestDistributions::test_binomial_log_prob_vectorized_count, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_stable, test/distributions/test_distributions.py::TestDistributions::test_binomial_vectorized_count, test/distributions/test_distributions.py::TestDistributions::test_categorical_1d, test/distributions/test_distributions.py::TestDistributions::test_categorical_2d, test/distributions/test_distributions.py::TestDistributions::test_categorical_enumerate_support, test/distributions/test_distributions.py::TestDistributions::test_cauchy, test/distributions/test_distributions.py::TestDistributions::test_cdf_icdf_inverse, test/distributions/test_distributions.py::TestDistributions::test_cdf_log_prob, test/distributions/test_distributions.py::TestDistributions::test_chi2_sample, test/distributions/test_distributions.py::TestDistributions::test_chi2_shape, test/distributions/test_distributions.py::TestDistributions::test_continuous_bernoulli, test/distributions/test_distributions.py::TestDistributions::test_continuous_bernoulli_3d, test/distributions/test_distributions.py::TestDistributions::test_dirichlet_log_prob, test/distributions/test_distributions.py::TestDistributions::test_dirichlet_log_prob_zero, test/distributions/test_distributions.py::TestDistributions::test_dirichlet_mode, test/distributions/test_distributions.py::TestDistributions::test_dirichlet_sample, test/distributions/test_distributions.py::TestDistributions::test_dirichlet_shape, test/distributions/test_distributions.py::TestDistributions::test_distribution_expand, test/distributions/test_distributions.py::TestDistributions::test_distribution_subclass_expand, test/distributions/test_distributions.py::TestDistributions::test_enumerate_support_type, test/distributions/test_distributions.py::TestDistributions::test_exponential, test/distributions/test_distributions.py::TestDistributions::test_exponential_sample, test/distributions/test_distributions.py::TestDistributions::test_fishersnedecor, test/distributions/test_distributions.py::TestDistributions::test_fishersnedecor_sample, test/distributions/test_distributions.py::TestDistributions::test_gamma_gpu_sample, test/distributions/test_distributions.py::TestDistributions::test_gamma_gpu_shape, test/distributions/test_distributions.py::TestDistributions::test_gamma_log_prob_at_boundary, test/distributions/test_distributions.py::TestDistributions::test_gamma_sample, test/distributions/test_distributions.py::TestDistributions::test_gamma_shape, test/distributions/test_distributions.py::TestDistributions::test_generalized_pareto, test/distributions/test_distributions.py::TestDistributions::test_generalized_pareto_sample, test/distributions/test_distributions.py::TestDistributions::test_geometric, test/distributions/test_distributions.py::TestDistributions::test_geometric_log_prob_and_entropy, test/distributions/test_distributions.py::TestDistributions::test_geometric_sample, test/distributions/test_distributions.py::TestDistributions::test_gumbel, test/distributions/test_distributions.py::TestDistributions::test_gumbel_sample, test/distributions/test_distributions.py::TestDistributions::test_halfcauchy, test/distributions/test_distributions.py::TestDistributions::test_halfnormal, test/distributions/test_distributions.py::TestDistributions::test_halfnormal_logprob, test/distributions/test_distributions.py::TestDistributions::test_halfnormal_sample, test/distributions/test_distributions.py::TestDistributions::test_has_examples, test/distributions/test_distributions.py::TestDistributions::test_independent_expand, test/distributions/test_distributions.py::TestDistributions::test_independent_shape, test/distributions/test_distributions.py::TestDistributions::test_invalid_parameter_broadcasting, test/distributions/test_distributions.py::TestDistributions::test_inversegamma, test/distributions/test_distributions.py::TestDistributions::test_inversegamma_sample, test/distributions/test_distributions.py::TestDistributions::test_kumaraswamy_mean_variance, test/distributions/test_distributions.py::TestDistributions::test_kumaraswamy_shape, test/distributions/test_distributions.py::TestDistributions::test_laplace, test/distributions/test_distributions.py::TestDistributions::test_laplace_sample, test/distributions/test_distributions.py::TestDistributions::test_lazy_property_grad, test/distributions/test_distributions.py::TestDistributions::test_lkj_cholesky_log_prob, test/distributions/test_distributions.py::TestDistributions::test_logisticnormal, test/distributions/test_distributions.py::TestDistributions::test_logisticnormal_logprob, test/distributions/test_distributions.py::TestDistributions::test_logisticnormal_sample, test/distributions/test_distributions.py::TestDistributions::test_lognormal, test/distributions/test_distributions.py::TestDistributions::test_lognormal_logprob, test/distributions/test_distributions.py::TestDistributions::test_lognormal_sample, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_log_prob, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_moments, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_properties, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_sample, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_shape, test/distributions/test_distributions.py::TestDistributions::test_mixture_same_family_binomial_log_prob, test/distributions/test_distributions.py::TestDistributions::test_mixture_same_family_normal_log_prob, test/distributions/test_distributions.py::TestDistributions::test_mixture_same_family_sample, test/distributions/test_distributions.py::TestDistributions::test_mixture_same_family_shape, test/distributions/test_distributions.py::TestDistributions::test_mode, test/distributions/test_distributions.py::TestDistributions::test_multinomial_1d, test/distributions/test_distributions.py::TestDistributions::test_multinomial_1d_log_prob_and_entropy, test/distributions/test_distributions.py::TestDistributions::test_multinomial_2d, test/distributions/test_distributions.py::TestDistributions::test_multinomial_sequential_draw, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_log_prob, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_moments, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_properties, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_sample, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_shape, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_stable_with_precision_matrix, test/distributions/test_distributions.py::TestDistributions::test_negative_binomial, test/distributions/test_distributions.py::TestDistributions::test_negative_binomial_log_prob, test/distributions/test_distributions.py::TestDistributions::test_negative_binomial_log_prob_vectorized_count, test/distributions/test_distributions.py::TestDistributions::test_normal, test/distributions/test_distributions.py::TestDistributions::test_normal_sample, test/distributions/test_distributions.py::TestDistributions::test_one_hot_categorical_1d, test/distributions/test_distributions.py::TestDistributions::test_one_hot_categorical_2d, test/distributions/test_distributions.py::TestDistributions::test_one_hot_categorical_enumerate_support, test/distributions/test_distributions.py::TestDistributions::test_pareto, test/distributions/test_distributions.py::TestDistributions::test_pareto_sample, test/distributions/test_distributions.py::TestDistributions::test_poisson_forward_ad, test/distributions/test_distributions.py::TestDistributions::test_poisson_gpu_sample, test/distributions/test_distributions.py::TestDistributions::test_poisson_log_prob, test/distributions/test_distributions.py::TestDistributions::test_poisson_sample, test/distributions/test_distributions.py::TestDistributions::test_poisson_shape, test/distributions/test_distributions.py::TestDistributions::test_relaxed_bernoulli, test/distributions/test_distributions.py::TestDistributions::test_relaxed_one_hot_categorical_1d, test/distributions/test_distributions.py::TestDistributions::test_relaxed_one_hot_categorical_2d, test/distributions/test_distributions.py::TestDistributions::test_repr, test/distributions/test_distributions.py::TestDistributions::test_rounded_relaxed_bernoulli, test/distributions/test_distributions.py::TestDistributions::test_rsample_requires_grad, test/distributions/test_distributions.py::TestDistributions::test_sample_detached, test/distributions/test_distributions.py::TestDistributions::test_studentT, test/distributions/test_distributions.py::TestDistributions::test_studentT_log_prob, test/distributions/test_distributions.py::TestDistributions::test_studentT_sample, test/distributions/test_distributions.py::TestDistributions::test_support_attributes, test/distributions/test_distributions.py::TestDistributions::test_torch_binomial_dtype_errors, 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 2025-12-04T09:25:21.1443673Z 2025-12-04T09:25:21.1444031Z Finished distributions/test_distributions 1/1 ... [2025-12-04 09:25:21.126328][5155.809065298], took 0.71min 2025-12-04T09:25:21.1445281Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/distributions.test_distributions/distributions.test_distributions-443b93149d08de92.xml 2025-12-04T09:25:21.2181364Z Running test_autoload_disable 1/1 ... [2025-12-04 09:25:21.217868][5155.900606546] 2025-12-04T09:25:21.8995184Z Processing /var/lib/jenkins/workspace/test/cpp_extensions 2025-12-04T09:25:24.7104336Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:25:24.7128335Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension 2025-12-04T09:25:34.0449553Z Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ done 2025-12-04T09:25:34.0704044Z [?25h Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp314-cp314-linux_x86_64.whl size=10130069 sha256=084f5ce78113e9ff55c99ce83f49acdc2a0eedaf7fa36c035544124b53c4709b 2025-12-04T09:25:34.0705449Z Stored in directory: /tmp/pip-ephem-wheel-cache-r8rynguk/wheels/54/78/52/3117610f17950b60c426425384e6002dd0eb7dd08640e4b782 2025-12-04T09:25:34.0738953Z Successfully built torch_test_cpp_extension 2025-12-04T09:25:34.3003892Z Installing collected packages: torch_test_cpp_extension 2025-12-04T09:25:34.4659304Z Successfully installed torch_test_cpp_extension-0.0.0 2025-12-04T09:25:36.6114206Z 2025-12-04T09:25:36.6114624Z Running tests... 2025-12-04T09:25:36.6115008Z ---------------------------------------------------------------------- 2025-12-04T09:25:36.6244686Z . 2025-12-04T09:25:36.6245016Z ---------------------------------------------------------------------- 2025-12-04T09:25:36.6245400Z Ran 1 test in 0.013s 2025-12-04T09:25:36.6245556Z 2025-12-04T09:25:36.6245655Z OK 2025-12-04T09:25:36.6245762Z 2025-12-04T09:25:36.6245883Z Generating XML reports... 2025-12-04T09:25:37.2547178Z Finished test_autoload_disable 1/1 ... [2025-12-04 09:25:37.254413][5171.937146831], took 0.27min 2025-12-04T09:25:37.2595591Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-unittest/test_autoload/TEST-TestDeviceBackendAutoload-20251204092536.xml 2025-12-04T09:25:37.3357745Z Running test_autoload_enable 1/1 ... [2025-12-04 09:25:37.335549][5172.018287675] 2025-12-04T09:25:37.6498826Z Processing /var/lib/jenkins/workspace/test/cpp_extensions 2025-12-04T09:25:40.3815653Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:25:40.3839111Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension 2025-12-04T09:25:49.6782343Z Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ done 2025-12-04T09:25:49.7037891Z [?25h Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp314-cp314-linux_x86_64.whl size=10130069 sha256=d75ef33141020cdb4508608372c6c86d66034f2687532d76010fd3fc900560a4 2025-12-04T09:25:49.7039524Z Stored in directory: /tmp/pip-ephem-wheel-cache-3gpuwfgz/wheels/54/78/52/3117610f17950b60c426425384e6002dd0eb7dd08640e4b782 2025-12-04T09:25:49.7057430Z Successfully built torch_test_cpp_extension 2025-12-04T09:25:49.8530765Z Installing collected packages: torch_test_cpp_extension 2025-12-04T09:25:50.0210268Z Successfully installed torch_test_cpp_extension-0.0.0 2025-12-04T09:25:52.1714328Z 2025-12-04T09:25:52.1714723Z Running tests... 2025-12-04T09:25:52.1715102Z ---------------------------------------------------------------------- 2025-12-04T09:25:52.1822829Z . 2025-12-04T09:25:52.1823140Z ---------------------------------------------------------------------- 2025-12-04T09:25:52.1823514Z Ran 1 test in 0.011s 2025-12-04T09:25:52.1823666Z 2025-12-04T09:25:52.1823760Z OK 2025-12-04T09:25:52.1823868Z 2025-12-04T09:25:52.1823973Z Generating XML reports... 2025-12-04T09:25:52.8056092Z Finished test_autoload_enable 1/1 ... [2025-12-04 09:25:52.805280][5187.488013988], took 0.26min 2025-12-04T09:25:52.8106086Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-unittest/test_autoload/TEST-TestDeviceBackendAutoload-20251204092552.xml 2025-12-04T09:25:52.8805460Z Running test_cpp_extensions_aot_ninja 1/1 ... [2025-12-04 09:25:52.880321][5187.563060012] 2025-12-04T09:25:53.2307006Z Processing /var/lib/jenkins/workspace/test/cpp_extensions 2025-12-04T09:25:56.0309226Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:25:56.0333033Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension 2025-12-04T09:26:02.9796632Z Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ done 2025-12-04T09:26:02.9890257Z [?25h Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp314-cp314-linux_x86_64.whl size=3224930 sha256=c525120ec33781cc408e4dbf85b09c39303b8b052bb00dbd5905fc8229f20dd8 2025-12-04T09:26:02.9891635Z Stored in directory: /tmp/pip-ephem-wheel-cache-1lrso_ga/wheels/54/78/52/3117610f17950b60c426425384e6002dd0eb7dd08640e4b782 2025-12-04T09:26:02.9910742Z Successfully built torch_test_cpp_extension 2025-12-04T09:26:03.1389918Z Installing collected packages: torch_test_cpp_extension 2025-12-04T09:26:03.2129556Z Successfully installed torch_test_cpp_extension-0.0.0 2025-12-04T09:26:03.5931373Z Processing /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test 2025-12-04T09:26:05.1924136Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:26:05.1947557Z [?25hBuilding wheels for collected packages: no_python_abi_suffix_test 2025-12-04T09:26:07.0552741Z Building wheel for no_python_abi_suffix_test (pyproject.toml) ... [?25l- \ | done 2025-12-04T09:26:07.0558690Z [?25h Created wheel for no_python_abi_suffix_test: filename=no_python_abi_suffix_test-0.0.0-cp314-cp314-linux_x86_64.whl size=2967 sha256=f26f844626e09d61de7ab25ab2ba9e60bc076068d0f1cd50eefda5b468ca80a9 2025-12-04T09:26:07.0560223Z Stored in directory: /tmp/pip-ephem-wheel-cache-_d3yocku/wheels/82/6c/52/5a0d6507470d8e3a015c6b1af4cf42c6953d0bd7727d8a52d6 2025-12-04T09:26:07.0578770Z Successfully built no_python_abi_suffix_test 2025-12-04T09:26:07.2064524Z Installing collected packages: no_python_abi_suffix_test 2025-12-04T09:26:07.2170015Z Successfully installed no_python_abi_suffix_test-0.0.0 2025-12-04T09:26:07.2939450Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:26:07.2942963Z Executing ['/opt/conda/envs/py_3.14/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'] ... [2025-12-04 09:26:07.294043] 2025-12-04T09:26:10.1897367Z 2025-12-04T09:26:10.1898281Z 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_c6f5ed37beec2f16_.log 2025-12-04T09:26:10.1906396Z Running 21 items in this shard: test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_backward, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_cublas_extension, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_cuda_dlink_libs, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_cuda_extension, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_cusolver_extension, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_extension_function, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_extension_module, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_mps_extension, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_no_python_abi_suffix_sets_the_correct_library_name, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_optional, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_sycl_extension, test/test_cpp_extensions_aot_ninja.py::TestPybindTypeCasters::test_pybind_return_types, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_add, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_autocast_apis_for_maia_device, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_conv_backend_override, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_matmul_autocast_default_precision, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_matmul_autocast_float16_precision, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_unregistered, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_zeros, test/test_cpp_extensions_aot_ninja.py::TestRNGExtension::test_rng, test/test_cpp_extensions_aot_ninja.py::TestTorchLibrary::test_torch_library 2025-12-04T09:26:10.1913734Z 2025-12-04T09:26:10.1914057Z Finished test_cpp_extensions_aot_ninja 1/1 ... [2025-12-04 09:26:10.189677][5204.872415633], took 0.29min 2025-12-04T09:26:10.1947818Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_aot_ninja/test_cpp_extensions_aot_ninja-a6c642162fbd4b90.xml 2025-12-04T09:26:10.2747331Z Running test_cpp_extensions_aot_no_ninja 1/1 ... [2025-12-04 09:26:10.274512][5204.957252052] 2025-12-04T09:26:10.5845889Z Processing /var/lib/jenkins/workspace/test/cpp_extensions 2025-12-04T09:26:13.3230626Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:26:13.3254127Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension 2025-12-04T09:26:22.6074234Z Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ done 2025-12-04T09:26:22.6328202Z [?25h Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp314-cp314-linux_x86_64.whl size=10130069 sha256=5617449cbca635f85d3a7ede386a4c5112920c6843fa32b187a256b083e20529 2025-12-04T09:26:22.6329576Z Stored in directory: /tmp/pip-ephem-wheel-cache-ylbwp56d/wheels/54/78/52/3117610f17950b60c426425384e6002dd0eb7dd08640e4b782 2025-12-04T09:26:22.6348761Z Successfully built torch_test_cpp_extension 2025-12-04T09:26:22.7825710Z Installing collected packages: torch_test_cpp_extension 2025-12-04T09:26:22.9485528Z Successfully installed torch_test_cpp_extension-0.0.0 2025-12-04T09:26:23.3256513Z Processing /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test 2025-12-04T09:26:24.9535225Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:26:24.9559117Z [?25hBuilding wheels for collected packages: no_python_abi_suffix_test 2025-12-04T09:26:26.7367254Z Building wheel for no_python_abi_suffix_test (pyproject.toml) ... [?25l- \ done 2025-12-04T09:26:26.7373634Z [?25h Created wheel for no_python_abi_suffix_test: filename=no_python_abi_suffix_test-0.0.0-cp314-cp314-linux_x86_64.whl size=2967 sha256=1e563bf934ae4bde15c38c0a200a2930c001d31f80315005b5d4a11084bc8ea0 2025-12-04T09:26:26.7383822Z Stored in directory: /tmp/pip-ephem-wheel-cache-noeah2c0/wheels/82/6c/52/5a0d6507470d8e3a015c6b1af4cf42c6953d0bd7727d8a52d6 2025-12-04T09:26:26.7394581Z Successfully built no_python_abi_suffix_test 2025-12-04T09:26:26.8881394Z Installing collected packages: no_python_abi_suffix_test 2025-12-04T09:26:26.8988078Z Successfully installed no_python_abi_suffix_test-0.0.0 2025-12-04T09:26:26.9650635Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:26:26.9653162Z Executing ['/opt/conda/envs/py_3.14/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'] ... [2025-12-04 09:26:26.965082] 2025-12-04T09:26:29.8982850Z 2025-12-04T09:26:29.8983851Z 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_6bd101cebd928c89_.log 2025-12-04T09:26:29.8992032Z Running 21 items in this shard: test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_backward, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_cublas_extension, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_cuda_dlink_libs, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_cuda_extension, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_cusolver_extension, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_extension_function, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_extension_module, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_mps_extension, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_no_python_abi_suffix_sets_the_correct_library_name, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_optional, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_sycl_extension, test/test_cpp_extensions_aot_no_ninja.py::TestPybindTypeCasters::test_pybind_return_types, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_add, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_autocast_apis_for_maia_device, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_conv_backend_override, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_matmul_autocast_default_precision, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_matmul_autocast_float16_precision, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_unregistered, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_zeros, test/test_cpp_extensions_aot_no_ninja.py::TestRNGExtension::test_rng, test/test_cpp_extensions_aot_no_ninja.py::TestTorchLibrary::test_torch_library 2025-12-04T09:26:29.8999641Z 2025-12-04T09:26:29.8999978Z Finished test_cpp_extensions_aot_no_ninja 1/1 ... [2025-12-04 09:26:29.898189][5224.58092838], took 0.33min 2025-12-04T09:26:29.9034082Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_aot_no_ninja/test_cpp_extensions_aot_no_ninja-ecee149afd12c138.xml 2025-12-04T09:26:29.9808022Z Running inductor/test_collective_autotuning 1/1 ... [2025-12-04 09:26:29.980548][5224.663287768] 2025-12-04T09:26:29.9808596Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:26:29.9810795Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'inductor/test_collective_autotuning.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:26:29.980852] 2025-12-04T09:26:31.3893499Z 2025-12-04T09:26:31.3894553Z inductor/test_collective_autotuning 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_collective_autotuning_1.1_aa5fa8529f9f1d69_.log 2025-12-04T09:26:31.3895392Z 2025-12-04T09:26:31.3895757Z Finished inductor/test_collective_autotuning 1/1 ... [2025-12-04 09:26:31.389156][5226.071895806], took 0.02min 2025-12-04T09:26:31.3946661Z Running inductor/test_kernel_benchmark 1/1 ... [2025-12-04 09:26:31.394481][5226.077221214] 2025-12-04T09:26:31.3947381Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:26:31.3949893Z Executing ['/opt/conda/envs/py_3.14/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'] ... [2025-12-04 09:26:31.394787] 2025-12-04T09:26:37.7114596Z 2025-12-04T09:26:37.7115712Z 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_cfabd2018092c9a1_.log 2025-12-04T09:26:37.7116538Z 2025-12-04T09:26:37.7116874Z Finished inductor/test_kernel_benchmark 1/1 ... [2025-12-04 09:26:37.711243][5232.393983524], took 0.11min 2025-12-04T09:26:37.7169132Z Running inductor/test_cudagraph_trees 1/1 ... [2025-12-04 09:26:37.716748][5232.399489422] 2025-12-04T09:26:37.7169670Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:26:37.7172303Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'inductor/test_cudagraph_trees.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:26:37.717033] 2025-12-04T09:26:44.1177168Z 2025-12-04T09:26:44.1178343Z inductor/test_cudagraph_trees 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cudagraph_trees_1.1_4d2dad21601d700c_.log 2025-12-04T09:26:44.1179119Z 2025-12-04T09:26:44.1179535Z Finished inductor/test_cudagraph_trees 1/1 ... [2025-12-04 09:26:44.117464][5238.800204241], took 0.11min 2025-12-04T09:26:44.1230150Z Running inductor/test_torchinductor_strided_blocks 1/1 ... [2025-12-04 09:26:44.122827][5238.805568503] 2025-12-04T09:26:44.1230718Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:26:44.1233203Z Executing ['/opt/conda/envs/py_3.14/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'] ... [2025-12-04 09:26:44.123123] 2025-12-04T09:26:50.7593480Z 2025-12-04T09:26:50.7594595Z 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_c332bb324b214a58_.log 2025-12-04T09:26:50.7595483Z 2025-12-04T09:26:50.7595870Z Finished inductor/test_torchinductor_strided_blocks 1/1 ... [2025-12-04 09:26:50.759075][5245.44181576], took 0.11min 2025-12-04T09:26:50.7646197Z Running inductor/test_triton_syntax 1/1 ... [2025-12-04 09:26:50.764458][5245.447199169] 2025-12-04T09:26:50.7646705Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:26:50.7649440Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'inductor/test_triton_syntax.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:26:50.764742] 2025-12-04T09:26:57.0832680Z 2025-12-04T09:26:57.0833767Z inductor/test_triton_syntax 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_syntax_1.1_9b5c0dca318f707b_.log 2025-12-04T09:26:57.0835165Z 2025-12-04T09:26:57.0835494Z Finished inductor/test_triton_syntax 1/1 ... [2025-12-04 09:26:57.083058][5251.765799201], took 0.11min 2025-12-04T09:26:57.0886295Z Running inductor/test_ck_backend 1/1 ... [2025-12-04 09:26:57.088446][5251.771187157] 2025-12-04T09:26:57.0886803Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:26:57.0889289Z Executing ['/opt/conda/envs/py_3.14/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'] ... [2025-12-04 09:26:57.088735] 2025-12-04T09:27:03.6255576Z 2025-12-04T09:27:03.6256560Z 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_7f2227653dce92c3_.log 2025-12-04T09:27:03.6257292Z 2025-12-04T09:27:03.6257616Z Finished inductor/test_ck_backend 1/1 ... [2025-12-04 09:27:03.625340][5258.308079821], took 0.11min 2025-12-04T09:27:03.6309025Z Running inductor/test_metrics 1/1 ... [2025-12-04 09:27:03.630733][5258.313473664] 2025-12-04T09:27:03.6309512Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:03.6312122Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'inductor/test_metrics.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:27:03.631020] 2025-12-04T09:27:09.9559255Z 2025-12-04T09:27:09.9560073Z inductor/test_metrics 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_metrics_1.1_63789a03491c4db8_.log 2025-12-04T09:27:09.9560798Z 2025-12-04T09:27:09.9561086Z Finished inductor/test_metrics 1/1 ... [2025-12-04 09:27:09.955666][5264.638405146], took 0.11min 2025-12-04T09:27:09.9612617Z Running inductor/test_lookup_table 1/1 ... [2025-12-04 09:27:09.961091][5264.643831788] 2025-12-04T09:27:09.9613303Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:09.9615897Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'inductor/test_lookup_table.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:27:09.961374] 2025-12-04T09:27:16.3295589Z 2025-12-04T09:27:16.3296877Z inductor/test_lookup_table 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_lookup_table_1.1_64554278af01ad23_.log 2025-12-04T09:27:16.3297647Z 2025-12-04T09:27:16.3297959Z Finished inductor/test_lookup_table 1/1 ... [2025-12-04 09:27:16.329345][5271.012084413], took 0.11min 2025-12-04T09:27:16.3349162Z Running inductor/test_cudacodecache 1/1 ... [2025-12-04 09:27:16.334711][5271.017451303] 2025-12-04T09:27:16.3349836Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:16.3352424Z Executing ['/opt/conda/envs/py_3.14/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'] ... [2025-12-04 09:27:16.334999] 2025-12-04T09:27:22.6593196Z 2025-12-04T09:27:22.6594465Z inductor/test_cudacodecache 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cudacodecache_1.1_0e2db61f0787a107_.log 2025-12-04T09:27:22.6595212Z 2025-12-04T09:27:22.6595553Z Finished inductor/test_cudacodecache 1/1 ... [2025-12-04 09:27:22.659131][5277.341870994], took 0.11min 2025-12-04T09:27:22.6647223Z Running inductor/test_op_dtype_prop 1/1 ... [2025-12-04 09:27:22.664551][5277.347292538] 2025-12-04T09:27:22.6647872Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:22.6650772Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'inductor/test_op_dtype_prop.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:27:22.664848] 2025-12-04T09:27:30.0008846Z 2025-12-04T09:27:30.0009870Z inductor/test_op_dtype_prop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_op_dtype_prop_1.1_a35e35c0e0a4b216_.log 2025-12-04T09:27:30.0010675Z 2025-12-04T09:27:30.0011041Z Finished inductor/test_op_dtype_prop 1/1 ... [2025-12-04 09:27:30.000691][5284.683431894], took 0.12min 2025-12-04T09:27:30.0063115Z Running inductor/test_profiler 1/1 ... [2025-12-04 09:27:30.006093][5284.68883362] 2025-12-04T09:27:30.0063821Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:30.0066200Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'inductor/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'] ... [2025-12-04 09:27:30.006410] 2025-12-04T09:27:36.4423149Z 2025-12-04T09:27:36.4424031Z inductor/test_profiler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_profiler_1.1_5e3ba4924021358d_.log 2025-12-04T09:27:36.4424728Z 2025-12-04T09:27:36.4425041Z Finished inductor/test_profiler 1/1 ... [2025-12-04 09:27:36.442101][5291.12484197], took 0.11min 2025-12-04T09:27:36.4477815Z Running inductor/test_aot_inductor_utils 1/1 ... [2025-12-04 09:27:36.447551][5291.130292062] 2025-12-04T09:27:36.4478339Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:36.4480926Z Executing ['/opt/conda/envs/py_3.14/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'] ... [2025-12-04 09:27:36.447860] 2025-12-04T09:27:42.9679822Z 2025-12-04T09:27:42.9681660Z 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_d01754b30e87c074_.log 2025-12-04T09:27:42.9683384Z Running 0 items in this shard: 2025-12-04T09:27:42.9683735Z 2025-12-04T09:27:42.9684487Z Finished inductor/test_aot_inductor_utils 1/1 ... [2025-12-04 09:27:42.967793][5297.650532517], took 0.11min 2025-12-04T09:27:42.9735601Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_aot_inductor_utils/inductor.test_aot_inductor_utils-1b3b28498ac2b240.xml 2025-12-04T09:27:43.0428949Z Running dynamo/test_cudagraphs 1/1 ... [2025-12-04 09:27:43.042560][5297.725298864] 2025-12-04T09:27:43.0429881Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:43.0431495Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_cudagraphs.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:27:43.042910] 2025-12-04T09:27:45.9586150Z 2025-12-04T09:27:45.9587577Z dynamo/test_cudagraphs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_cudagraphs_1.1_b08fa75fea086e6c_.log 2025-12-04T09:27:45.9588929Z 2025-12-04T09:27:45.9589516Z Finished dynamo/test_cudagraphs 1/1 ... [2025-12-04 09:27:45.958396][5300.641136832], took 0.05min 2025-12-04T09:27:45.9643679Z Running inductor/test_fxir_backend 1/1 ... [2025-12-04 09:27:45.964131][5300.646872488] 2025-12-04T09:27:45.9644463Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:45.9647224Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'inductor/test_fxir_backend.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:27:45.964457] 2025-12-04T09:27:52.5141269Z 2025-12-04T09:27:52.5142223Z inductor/test_fxir_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_fxir_backend_1.1_00f6c54a2211a9cd_.log 2025-12-04T09:27:52.5142953Z 2025-12-04T09:27:52.5143281Z Finished inductor/test_fxir_backend 1/1 ... [2025-12-04 09:27:52.513915][5307.196655738], took 0.11min 2025-12-04T09:27:52.5196728Z Running test_varlen_attention 1/1 ... [2025-12-04 09:27:52.519485][5307.20222506] 2025-12-04T09:27:52.5197193Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:52.5199837Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_varlen_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'] ... [2025-12-04 09:27:52.519791] 2025-12-04T09:27:55.4005441Z 2025-12-04T09:27:55.4006380Z test_varlen_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_varlen_attention_1.1_9f53a466a639b893_.log 2025-12-04T09:27:55.4007230Z Running 0 items in this shard: 2025-12-04T09:27:55.4007497Z 2025-12-04T09:27:55.4007780Z Finished test_varlen_attention 1/1 ... [2025-12-04 09:27:55.400374][5310.083115261], took 0.05min 2025-12-04T09:27:55.4057644Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_varlen_attention/test_varlen_attention-be1c0558869f1f11.xml 2025-12-04T09:27:55.4690318Z Running test_jiterator 1/1 ... [2025-12-04 09:27:55.468800][5310.151539381] 2025-12-04T09:27:55.4690787Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:55.4692894Z Executing ['/opt/conda/envs/py_3.14/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'] ... [2025-12-04 09:27:55.469084] 2025-12-04T09:27:58.3491635Z 2025-12-04T09:27:58.3492521Z test_jiterator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jiterator_1.1_df92fc8f78b34c83_.log 2025-12-04T09:27:58.3493561Z Running 0 items in this shard: 2025-12-04T09:27:58.3493760Z 2025-12-04T09:27:58.3494027Z Finished test_jiterator 1/1 ... [2025-12-04 09:27:58.348983][5313.031723904], took 0.05min 2025-12-04T09:27:58.3545599Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_jiterator/test_jiterator-bfee10edff3da992.xml 2025-12-04T09:27:58.3775510Z Running optim/test_lrscheduler 1/1 ... [2025-12-04 09:27:58.377308][5313.060045634] 2025-12-04T09:27:58.3776045Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:58.3778167Z Executing ['/opt/conda/envs/py_3.14/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'] ... [2025-12-04 09:27:58.377617] 2025-12-04T09:28:01.1276894Z 2025-12-04T09:28:01.1277866Z optim/test_lrscheduler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_lrscheduler_1.1_19a88d797a52d210_.log 2025-12-04T09:28:01.1278572Z 2025-12-04T09:28:01.1278871Z Finished optim/test_lrscheduler 1/1 ... [2025-12-04 09:28:01.127492][5315.810232804], took 0.05min 2025-12-04T09:28:01.1332886Z Running test_ops 4/6 ... [2025-12-04 09:28:01.133109][5315.815850224] 2025-12-04T09:28:01.1333295Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:28:01.1336674Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_ops.py', '-m', 'serial', '--shard-id=4', '--num-shards=6', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:28:01.133419] 2025-12-04T09:28:13.2636399Z 2025-12-04T09:28:13.2637204Z test_ops 4/6 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_4.6_4cca111b24bf114d_.log 2025-12-04T09:28:13.2637995Z Running 0 items in this shard: 2025-12-04T09:28:13.2638186Z 2025-12-04T09:28:13.2638503Z Finished test_ops 4/6 ... [2025-12-04 09:28:13.263482][5327.946222651], took 0.20min 2025-12-04T09:28:13.2691918Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops/test_ops-11d07697fc33a7ed.xml 2025-12-04T09:28:13.3372022Z Running optim/test_optim 1/1 ... [2025-12-04 09:28:13.336858][5328.019596973] 2025-12-04T09:28:13.3372970Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:28:13.3375193Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'optim/test_optim.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:28:13.337216] 2025-12-04T09:28:16.0606114Z 2025-12-04T09:28:16.0607662Z optim/test_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_optim_1.1_ca89ebb6dfa47ade_.log 2025-12-04T09:28:16.0608904Z 2025-12-04T09:28:16.0609449Z Finished optim/test_optim 1/1 ... [2025-12-04 09:28:16.060363][5330.743102704], took 0.05min 2025-12-04T09:28:16.0665735Z Running functorch/test_aotdispatch 5/9 ... [2025-12-04 09:28:16.066333][5330.749074312] 2025-12-04T09:28:16.0666561Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:28:16.0669655Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'functorch/test_aotdispatch.py', '-m', 'serial', '--shard-id=5', '--num-shards=9', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:28:16.066677] 2025-12-04T09:28:21.0377996Z 2025-12-04T09:28:21.0379562Z functorch/test_aotdispatch 5/9 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aotdispatch_5.9_574b17dd7c52a43c_.log 2025-12-04T09:28:21.0381216Z Running 0 items in this shard: 2025-12-04T09:28:21.0381571Z 2025-12-04T09:28:21.0382192Z Finished functorch/test_aotdispatch 5/9 ... [2025-12-04 09:28:21.037556][5335.720296032], took 0.08min 2025-12-04T09:28:21.0436416Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_aotdispatch/functorch.test_aotdispatch-db9f138e301f84c2.xml 2025-12-04T09:28:21.1429506Z Running functorch/test_aotdispatch 6/9 ... [2025-12-04 09:28:21.142556][5335.825294883] 2025-12-04T09:28:21.1430615Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:28:21.1432570Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'functorch/test_aotdispatch.py', '-m', 'serial', '--shard-id=6', '--num-shards=9', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:28:21.142914] 2025-12-04T09:28:26.0638415Z 2025-12-04T09:28:26.0639568Z functorch/test_aotdispatch 6/9 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aotdispatch_6.9_391d3368ee0687b1_.log 2025-12-04T09:28:26.0640498Z Running 0 items in this shard: 2025-12-04T09:28:26.0640713Z 2025-12-04T09:28:26.0641100Z Finished functorch/test_aotdispatch 6/9 ... [2025-12-04 09:28:26.063623][5340.746363871], took 0.08min 2025-12-04T09:28:26.0696462Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_aotdispatch/functorch.test_aotdispatch-8926c5121f0f9e1d.xml 2025-12-04T09:28:26.0950575Z Running functorch/test_aotdispatch 7/9 ... [2025-12-04 09:28:26.094805][5340.777544228] 2025-12-04T09:28:26.0951124Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:28:26.0953181Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'functorch/test_aotdispatch.py', '-m', 'serial', '--shard-id=7', '--num-shards=9', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:28:26.095103] 2025-12-04T09:28:31.0158617Z 2025-12-04T09:28:31.0159489Z functorch/test_aotdispatch 7/9 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aotdispatch_7.9_dbb852379ca08cc9_.log 2025-12-04T09:28:31.0160365Z Running 0 items in this shard: 2025-12-04T09:28:31.0160555Z 2025-12-04T09:28:31.0160882Z Finished functorch/test_aotdispatch 7/9 ... [2025-12-04 09:28:31.015665][5345.698405688], took 0.08min 2025-12-04T09:28:31.0216328Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_aotdispatch/functorch.test_aotdispatch-30d31f7ac13f8cb7.xml 2025-12-04T09:28:33.5435022Z Running inductor/test_collective_autotuning 1/1 ... [2025-12-04 09:28:33.543127][5348.225864014] 2025-12-04T09:28:33.5435626Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:28:33.5436347Z Running inductor/test_kernel_benchmark 1/1 ... [2025-12-04 09:28:33.543198][5348.22593581] 2025-12-04T09:28:33.5436926Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:28:33.5437391Z Running inductor/test_cudagraph_trees 1/1 ... [2025-12-04 09:28:33.543264][5348.226000267] 2025-12-04T09:28:33.5437955Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:28:33.5439158Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'inductor/test_collective_autotuning.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:28:33.543503] 2025-12-04T09:28:33.5441146Z Executing ['/opt/conda/envs/py_3.14/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'] ... [2025-12-04 09:28:33.543541] 2025-12-04T09:28:33.5443073Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'inductor/test_cudagraph_trees.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:28:33.543616] 2025-12-04T09:28:35.1040114Z 2025-12-04T09:28:35.1041401Z inductor/test_collective_autotuning 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_collective_autotuning_1.1_d11b6442504d8343_.log 2025-12-04T09:28:35.1042221Z 2025-12-04T09:28:35.1042662Z Finished inductor/test_collective_autotuning 1/1 ... [2025-12-04 09:28:35.103871][5349.786609122], took 0.03min 2025-12-04T09:28:38.1440799Z Running inductor/test_torchinductor_strided_blocks 1/1 ... [2025-12-04 09:28:38.143684][5352.826420341] 2025-12-04T09:28:38.1441465Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:28:38.1443254Z Executing ['/opt/conda/envs/py_3.14/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'] ... [2025-12-04 09:28:38.144063] 2025-12-04T09:28:40.3618212Z 2025-12-04T09:28:40.3619219Z 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_d0106cefd1553d57_.log 2025-12-04T09:28:40.3619982Z 2025-12-04T09:28:40.3620312Z Finished inductor/test_kernel_benchmark 1/1 ... [2025-12-04 09:28:40.361628][5355.04436238], took 0.11min 2025-12-04T09:28:41.9244838Z 2025-12-04T09:28:41.9246300Z inductor/test_cudagraph_trees 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cudagraph_trees_1.1_3a4ebd41a15daf43_.log 2025-12-04T09:28:41.9247066Z 2025-12-04T09:28:41.9247411Z Finished inductor/test_cudagraph_trees 1/1 ... [2025-12-04 09:28:41.924249][5356.606987892], took 0.14min 2025-12-04T09:28:43.4105593Z Running inductor/test_triton_syntax 1/1 ... [2025-12-04 09:28:43.410180][5358.092916628] 2025-12-04T09:28:43.4106191Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:28:43.4107837Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'inductor/test_triton_syntax.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:28:43.410544] 2025-12-04T09:28:44.9443207Z Running inductor/test_ck_backend 1/1 ... [2025-12-04 09:28:44.943927][5359.626663413] 2025-12-04T09:28:44.9443805Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:28:44.9445112Z Executing ['/opt/conda/envs/py_3.14/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'] ... [2025-12-04 09:28:44.944288] 2025-12-04T09:28:45.3548066Z 2025-12-04T09:28:45.3549230Z 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_bd53ccb7539d38e6_.log 2025-12-04T09:28:45.3550187Z 2025-12-04T09:28:45.3550606Z Finished inductor/test_torchinductor_strided_blocks 1/1 ... [2025-12-04 09:28:45.354582][5360.037319647], took 0.12min 2025-12-04T09:28:48.3950335Z Running inductor/test_metrics 1/1 ... [2025-12-04 09:28:48.394623][5363.077359775] 2025-12-04T09:28:48.3951019Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:28:48.3952782Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'inductor/test_metrics.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:28:48.395016] 2025-12-04T09:28:50.2813018Z 2025-12-04T09:28:50.2814136Z inductor/test_triton_syntax 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_syntax_1.1_e19ee73139588269_.log 2025-12-04T09:28:50.2814877Z 2025-12-04T09:28:50.2815209Z Finished inductor/test_triton_syntax 1/1 ... [2025-12-04 09:28:50.281056][5364.96379359], took 0.11min 2025-12-04T09:28:51.9689911Z 2025-12-04T09:28:51.9691040Z 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_b4eef1258e7b5f69_.log 2025-12-04T09:28:51.9691770Z 2025-12-04T09:28:51.9692151Z Finished inductor/test_ck_backend 1/1 ... [2025-12-04 09:28:51.968793][5366.651531965], took 0.12min 2025-12-04T09:28:53.3806607Z Running inductor/test_lookup_table 1/1 ... [2025-12-04 09:28:53.380312][5368.063046589] 2025-12-04T09:28:53.3807136Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:28:53.3809505Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'inductor/test_lookup_table.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:28:53.380727] 2025-12-04T09:28:54.9467469Z Running inductor/test_cudacodecache 1/1 ... [2025-12-04 09:28:54.946347][5369.629085606] 2025-12-04T09:28:54.9468255Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:28:54.9469965Z Executing ['/opt/conda/envs/py_3.14/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'] ... [2025-12-04 09:28:54.946707] 2025-12-04T09:28:55.2772773Z 2025-12-04T09:28:55.2774189Z inductor/test_metrics 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_metrics_1.1_e4d0c326a4952847_.log 2025-12-04T09:28:55.2775527Z 2025-12-04T09:28:55.2776071Z Finished inductor/test_metrics 1/1 ... [2025-12-04 09:28:55.276989][5369.959726344], took 0.11min 2025-12-04T09:28:58.3444158Z Running inductor/test_op_dtype_prop 1/1 ... [2025-12-04 09:28:58.344067][5373.026804709] 2025-12-04T09:28:58.3444690Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:28:58.3446316Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'inductor/test_op_dtype_prop.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:28:58.344425] 2025-12-04T09:29:00.2594691Z 2025-12-04T09:29:00.2596067Z inductor/test_lookup_table 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_lookup_table_1.1_8d8612934b83217d_.log 2025-12-04T09:29:00.2596797Z 2025-12-04T09:29:00.2597129Z Finished inductor/test_lookup_table 1/1 ... [2025-12-04 09:29:00.259237][5374.941977114], took 0.11min 2025-12-04T09:29:01.9034595Z 2025-12-04T09:29:01.9036012Z inductor/test_cudacodecache 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cudacodecache_1.1_44e86a78edae16bf_.log 2025-12-04T09:29:01.9036762Z 2025-12-04T09:29:01.9037085Z Finished inductor/test_cudacodecache 1/1 ... [2025-12-04 09:29:01.903261][5376.586000815], took 0.12min 2025-12-04T09:29:03.3514978Z Running inductor/test_profiler 1/1 ... [2025-12-04 09:29:03.351089][5378.033824699] 2025-12-04T09:29:03.3515517Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:29:03.3518151Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'inductor/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'] ... [2025-12-04 09:29:03.351518] 2025-12-04T09:29:04.9514109Z Running inductor/test_aot_inductor_utils 1/1 ... [2025-12-04 09:29:04.951009][5379.633744807] 2025-12-04T09:29:04.9514750Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:29:04.9516636Z Executing ['/opt/conda/envs/py_3.14/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'] ... [2025-12-04 09:29:04.951390] 2025-12-04T09:29:06.2944678Z 2025-12-04T09:29:06.2946139Z inductor/test_op_dtype_prop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_op_dtype_prop_1.1_e201230bb8792633_.log 2025-12-04T09:29:06.2946882Z 2025-12-04T09:29:06.2947264Z Finished inductor/test_op_dtype_prop 1/1 ... [2025-12-04 09:29:06.294238][5380.976977149], took 0.13min 2025-12-04T09:29:09.3768479Z Running dynamo/test_cudagraphs 1/1 ... [2025-12-04 09:29:09.376514][5384.059250535] 2025-12-04T09:29:09.3769004Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:29:09.3771122Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_cudagraphs.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:29:09.376883] 2025-12-04T09:29:10.2815974Z 2025-12-04T09:29:10.2816926Z inductor/test_profiler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_profiler_1.1_a6e69e3e781c50db_.log 2025-12-04T09:29:10.2817621Z 2025-12-04T09:29:10.2817917Z Finished inductor/test_profiler 1/1 ... [2025-12-04 09:29:10.281379][5384.96411606], took 0.12min 2025-12-04T09:29:11.9775639Z 2025-12-04T09:29:11.9777003Z 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_82a5a97ea4d8b036_.log 2025-12-04T09:29:11.9778090Z Running 0 items in this shard: 2025-12-04T09:29:11.9778316Z 2025-12-04T09:29:11.9778650Z Finished inductor/test_aot_inductor_utils 1/1 ... [2025-12-04 09:29:11.977453][5386.66019105], took 0.12min 2025-12-04T09:29:11.9833596Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_aot_inductor_utils/inductor.test_aot_inductor_utils-0cdce8ed1188e221.xml 2025-12-04T09:29:12.5072322Z 2025-12-04T09:29:12.5073794Z dynamo/test_cudagraphs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_cudagraphs_1.1_591ad44d9b0111cd_.log 2025-12-04T09:29:12.5074491Z 2025-12-04T09:29:12.5074789Z Finished dynamo/test_cudagraphs 1/1 ... [2025-12-04 09:29:12.506998][5387.189737785], took 0.05min 2025-12-04T09:29:13.3078030Z Running inductor/test_fxir_backend 1/1 ... [2025-12-04 09:29:13.307417][5387.990154018] 2025-12-04T09:29:13.3078559Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:29:13.3080411Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'inductor/test_fxir_backend.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:29:13.307782] 2025-12-04T09:29:15.0882862Z Running test_varlen_attention 1/1 ... [2025-12-04 09:29:15.087914][5389.770650243] 2025-12-04T09:29:15.0883466Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:29:15.0885448Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_varlen_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'] ... [2025-12-04 09:29:15.088278] 2025-12-04T09:29:15.6119112Z Running test_jiterator 1/1 ... [2025-12-04 09:29:15.611524][5390.294261815] 2025-12-04T09:29:15.6119741Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:29:15.6121236Z Executing ['/opt/conda/envs/py_3.14/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'] ... [2025-12-04 09:29:15.611897] 2025-12-04T09:29:18.1563620Z 2025-12-04T09:29:18.1564536Z test_varlen_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_varlen_attention_1.1_fe0f7d5838327c5f_.log 2025-12-04T09:29:18.1565338Z Running 0 items in this shard: 2025-12-04T09:29:18.1565528Z 2025-12-04T09:29:18.1566051Z Finished test_varlen_attention 1/1 ... [2025-12-04 09:29:18.156316][5392.839053681], took 0.05min 2025-12-04T09:29:18.1624529Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_varlen_attention/test_varlen_attention-194c18aedeec8ce3.xml 2025-12-04T09:29:18.2277804Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_jiterator/test_jiterator-82160977b72dd450.xml 2025-12-04T09:29:18.6262286Z 2025-12-04T09:29:18.6263149Z test_jiterator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jiterator_1.1_cb9b075d22698a3d_.log 2025-12-04T09:29:18.6263980Z Running 0 items in this shard: 2025-12-04T09:29:18.6264186Z 2025-12-04T09:29:18.6264492Z Finished test_jiterator 1/1 ... [2025-12-04 09:29:18.626155][5393.3088944], took 0.05min 2025-12-04T09:29:20.2293724Z 2025-12-04T09:29:20.2294758Z inductor/test_fxir_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_fxir_backend_1.1_3018a797007f0455_.log 2025-12-04T09:29:20.2295569Z 2025-12-04T09:29:20.2295881Z Finished inductor/test_fxir_backend 1/1 ... [2025-12-04 09:29:20.229144][5394.911882607], took 0.12min 2025-12-04T09:29:21.2639521Z Running optim/test_lrscheduler 1/1 ... [2025-12-04 09:29:21.263501][5395.946235242] 2025-12-04T09:29:21.2640477Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:29:21.2644379Z Executing ['/opt/conda/envs/py_3.14/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'] ... [2025-12-04 09:29:21.264092] 2025-12-04T09:29:21.7310454Z Running test_ops 4/6 ... [2025-12-04 09:29:21.730700][5396.413433796] 2025-12-04T09:29:21.7310889Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:29:21.7314828Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_ops.py', '-m', 'not serial', '--shard-id=4', '--num-shards=6', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:29:21.731236] 2025-12-04T09:29:23.2167946Z Running optim/test_optim 1/1 ... [2025-12-04 09:29:23.216409][5397.899146502] 2025-12-04T09:29:23.2168510Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:29:23.2169821Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'optim/test_optim.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:29:23.216759] 2025-12-04T09:29:24.1918981Z 2025-12-04T09:29:24.1919964Z optim/test_lrscheduler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_lrscheduler_1.1_097d466626087212_.log 2025-12-04T09:29:24.1920684Z 2025-12-04T09:29:24.1921003Z Finished optim/test_lrscheduler 1/1 ... [2025-12-04 09:29:24.191806][5398.874542318], took 0.05min 2025-12-04T09:29:26.0761958Z 2025-12-04T09:29:26.0762836Z optim/test_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_optim_1.1_7ada4193d415869e_.log 2025-12-04T09:29:26.0763492Z 2025-12-04T09:29:26.0763765Z Finished optim/test_optim 1/1 ... [2025-12-04 09:29:26.076165][5400.758899967], took 0.05min 2025-12-04T09:29:27.2214179Z Running functorch/test_aotdispatch 5/9 ... [2025-12-04 09:29:27.221068][5401.903805576] 2025-12-04T09:29:27.2214730Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:29:27.2216978Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'functorch/test_aotdispatch.py', '-m', 'not serial', '--shard-id=5', '--num-shards=9', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:29:27.221448] 2025-12-04T09:29:29.0848588Z Running functorch/test_aotdispatch 6/9 ... [2025-12-04 09:29:29.084499][5403.76723589] 2025-12-04T09:29:29.0849375Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:29:29.0851836Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'functorch/test_aotdispatch.py', '-m', 'not serial', '--shard-id=6', '--num-shards=9', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:29:29.084923] 2025-12-04T09:37:26.8951668Z 2025-12-04T09:37:26.8953205Z functorch/test_aotdispatch 6/9 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aotdispatch_6.9_2e992e4b21fc5933_.log 2025-12-04T09:37:26.9395065Z Running 386 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_batch_norm_amp, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_compilation_context, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_complex_linear, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_embedding_bag_view_dynamic, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_data_and_metadata_mutation, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_metadata, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_aliases_intermediate_inplace_view_with_detach, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_subclasses_mixed, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_multiple_outputs_require_grad_banned, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_predispatch_composite_implicit_inplace, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_predispatch_with_cond, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_simplified_basic, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_with_torch_cond, test/functorch/test_aotdispatch.py::TestPartitioning::test_autocast, test/functorch/test_aotdispatch.py::TestPartitioning::test_min_cut_partitioner, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_aot_module_simplified_fake_tensor_gm_raises, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_noncontig_nonmemformat_tangents_dynamic_shapes_False_test_subclasses_False_device_cuda, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_noncontig_nonmemformat_tangents_dynamic_shapes_False_test_subclasses_True_device_cuda, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_rms_norm, test/functorch/test_aotdispatch.py::TestPythonKeyCPU::test_resnet18_backward_trace_cpu, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_acosh_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_addmm_decomposed_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_as_strided_copy_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_bernoulli_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_bool_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_bucketize_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_cartesian_prod_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_conj_physical_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_cumprod_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_erfinv_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_fft_hfft2_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_fft_hfftn_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_fft_ifft_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_fft_ifftn_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_heaviside_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_index_reduce_mean_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_index_reduce_prod_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_item_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_linalg_cholesky_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_linalg_ldl_factor_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_linalg_ldl_factor_ex_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_linalg_multi_dot_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_logaddexp_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_logcumsumexp_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_logspace_tensor_overload_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_meshgrid_list_of_tensors_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_mvlgamma_mvlgamma_p_5_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_nanmedian_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_ne_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_nn_functional_elu_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_nn_functional_hardsigmoid_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_nn_functional_l1_loss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_nn_functional_local_response_norm_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_nn_functional_logsigmoid_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_nn_functional_multilabel_margin_loss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_nn_functional_normalize_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_nn_functional_upsample_nearest_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_ones_like_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_ormqr_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_prod_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_randn_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_remainder_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_roll_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_scatter_reduce_sum_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_select_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_signal_windows_bartlett_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_signal_windows_general_hamming_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_sinh_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_special_airy_ai_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_special_modified_bessel_i1_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_special_modified_bessel_k0_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_square_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_std_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_tan_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_tile_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_trapezoid_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_unique_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_vsplit_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_vstack_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_exhaustive_while_loop_stack_output_simple_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_symbolic_exhaustive___rmatmul___cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_symbolic_exhaustive__chunk_cat_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_symbolic_exhaustive__upsample_bilinear2d_aa_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_symbolic_exhaustive_add_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_symbolic_exhaustive_addcdiv_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_symbolic_exhaustive_alias_copy_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_symbolic_exhaustive_arange_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_symbolic_exhaustive_as_strided_copy_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_symbolic_exhaustive_bucketize_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_symbolic_exhaustive_cat_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_symbolic_exhaustive_clone_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_symbolic_exhaustive_cross_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_symbolic_exhaustive_diagonal_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_symbolic_exhaustive_dist_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_symbolic_exhaustive_div_trunc_rounding_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_symbolic_exhaustive_dsplit_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_symbolic_exhaustive_empty_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_symbolic_exhaustive_exp2_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_symbolic_exhaustive_fft_fft_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_symbolic_exhaustive_fft_ihfft2_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_symbolic_exhaustive_fft_rfft_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_symbolic_exhaustive_flatten_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_disable_functionalization_symbolic_exhaustive_flipud_cpu_float32, 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test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_complex_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_cond_simple_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_double_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_exp2_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_expand_as_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_flipud_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_gather_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_geqrf_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_gradient_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_hypot_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_index_copy_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_index_reduce_prod_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_inner_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_isinf_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_isposinf_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_jiterator_binary_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_le_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_cholesky_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_det_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_matrix_rank_hermitian_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_pinv_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_qr_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_map_simple_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_masked_argmin_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_masked_mean_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_masked_norm_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_masked_softmin_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_mean_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_meshgrid_list_of_tensors_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_mm_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_mvlgamma_mvlgamma_p_1_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_mvlgamma_mvlgamma_p_3_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nanmean_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_native_dropout_backward_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_ne_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_new_empty_strided_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_adaptive_avg_pool3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_conv2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_conv_transpose3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_elu_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_embedding_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_gelu_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_hardshrink_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_upsample_bilinear_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_normal_number_mean_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_ones_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_put_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_randint_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_resolve_conj_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_round_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_scatter_reduce_prod_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_select_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_signal_windows_general_cosine_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_signal_windows_hamming_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_signbit_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_sinc_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_i1_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_laguerre_polynomial_l_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_scaled_modified_bessel_k0_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_shifted_chebyshev_polynomial_t_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_split_with_sizes_copy_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_std_unbiased_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_svd_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_tensordot_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_view_as_complex_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_while_loop_simple_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_AdaptiveMaxPool1d_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_AvgPool1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_BCEWithLogitsLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_BatchNorm2d_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_ConstantPad3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_GRU_eval_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_MaxPool2d_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_ReflectionPad2d_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_symbolic_module_exhaustive_nn_AdaptiveAvgPool2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_AdaptiveMaxPool2d_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_AvgPool3d_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_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Hardtanh_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_InstanceNorm2d_eval_mode_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_ReLU_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Softmax2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Softplus_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Softshrink_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Tanh_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_alias_of_intermediate_detach_backend_aot_eager_view_replay_for_aliased_outputs_False_dynamic_shapes_False, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_batchnorm, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_inference_mode, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_hidden_from_autograd_aliasing, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_output_view_mutate_multiple, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_nested_subclasses_complicated_inps, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_nested_subclasses_complicated_inps_mixed, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_nested_subclasses_non_nested_grad, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_output_aliases_intermediate_and_returned_flipped, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_some_outputs_dont_require_grad_non_view, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_squeeze_mutation, 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_backward_mutation_on_grad_out, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_backward_pass_autocast_on, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_batchnorm, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_buffer_batch_norm, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_metadata_mutation_aliases, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_metadata2, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_requires_grad_no_grad_detach_mixed, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_set__input_mutation, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_simple_with_none_and_nontensor, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_output_view_metadata_mutate_multiple, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_nested_subclasses_complicated_inps, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_input_multi_output_view, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_intermediate_single, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_dict, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_subclasses_mixed_mode 2025-12-04T09:37:26.9833004Z 2025-12-04T09:37:26.9833640Z Finished functorch/test_aotdispatch 6/9 ... [2025-12-04 09:37:26.895912][5881.578646761], took 7.96min 2025-12-04T09:37:26.9835822Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_aotdispatch/functorch.test_aotdispatch-bee72c6b1a8e0154.xml 2025-12-04T09:37:27.7678269Z Uploading artifacts took 0.74 seconds 2025-12-04T09:37:30.3773770Z Running functorch/test_aotdispatch 7/9 ... [2025-12-04 09:37:30.376953][5885.059691069] 2025-12-04T09:37:30.3774746Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:37:30.3778059Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'functorch/test_aotdispatch.py', '-m', 'not serial', '--shard-id=7', '--num-shards=9', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:37:30.377424] 2025-12-04T09:39:20.5560905Z 2025-12-04T09:39:20.5561662Z test_ops 4/6 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_4.6_f07994e5b1ddee09_.log 2025-12-04T09:39:20.7523086Z Running 5661 items in this shard: test/test_ops.py::TestSelfKwarg::test_self_kwargs, test/test_ops.py::TestCommonCPU::test_compare_cpu_H_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu___rmul___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_byte_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_as_strided_copy_cpu_float32, 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test/test_ops.py::TestCommonCPU::test_dtypes_transpose_copy_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_trapz_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_triu_indices_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_unique_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_view_copy_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_zeros_cpu, test/test_ops.py::TestCommonCPU::test_errors___radd___cpu, test/test_ops.py::TestCommonCPU::test_errors___rdiv___cpu, test/test_ops.py::TestCommonCPU::test_errors___rsub___cpu, test/test_ops.py::TestCommonCPU::test_errors__chunk_cat_cpu, test/test_ops.py::TestCommonCPU::test_errors_amax_cpu, test/test_ops.py::TestCommonCPU::test_errors_aminmax_cpu, test/test_ops.py::TestCommonCPU::test_errors_bernoulli_cpu, test/test_ops.py::TestCommonCPU::test_errors_clamp_min_cpu, test/test_ops.py::TestCommonCPU::test_errors_complex_cpu, test/test_ops.py::TestCommonCPU::test_errors_diagonal_cpu, test/test_ops.py::TestCommonCPU::test_errors_diff_cpu, test/test_ops.py::TestCommonCPU::test_errors_div_no_rounding_mode_cpu, test/test_ops.py::TestCommonCPU::test_errors_dot_cpu, test/test_ops.py::TestCommonCPU::test_errors_fft_ifft2_cpu, test/test_ops.py::TestCommonCPU::test_errors_fft_ihfft_cpu, test/test_ops.py::TestCommonCPU::test_errors_fft_ihfftn_cpu, test/test_ops.py::TestCommonCPU::test_errors_fmax_cpu, test/test_ops.py::TestCommonCPU::test_errors_fmod_cpu, test/test_ops.py::TestCommonCPU::test_errors_gcd_cpu, test/test_ops.py::TestCommonCPU::test_errors_lcm_cpu, test/test_ops.py::TestCommonCPU::test_errors_le_cpu, test/test_ops.py::TestCommonCPU::test_errors_linspace_cpu, test/test_ops.py::TestCommonCPU::test_errors_linspace_tensor_overload_cpu, test/test_ops.py::TestCommonCPU::test_errors_logspace_cpu, test/test_ops.py::TestCommonCPU::test_errors_logspace_tensor_overload_cpu, test/test_ops.py::TestCommonCPU::test_errors_masked_scatter_cpu, test/test_ops.py::TestCommonCPU::test_errors_median_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_avg_pool2d_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_gaussian_nll_loss_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_hardtanh_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_huber_loss_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_l1_loss_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_max_pool1d_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_prelu_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_rms_norm_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_triplet_margin_loss_cpu, test/test_ops.py::TestCommonCPU::test_errors_remainder_cpu, test/test_ops.py::TestCommonCPU::test_errors_roll_cpu, test/test_ops.py::TestCommonCPU::test_errors_sparse_randn_like_layout2_cpu, test/test_ops.py::TestCommonCPU::test_errors_sparse_sum_layout0_cpu, test/test_ops.py::TestCommonCPU::test_errors_sparse_zeros_like_layout2_cpu, 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_sub_cpu, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_abs_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_addbmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_addr_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_asinh_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_atanh_cpu_float32, 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_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_clamp_max_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_conj_physical_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_cosh_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_dot_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_eye_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_hfft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_irfft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_geqrf_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_gt_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_histogramdd_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_lerp_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_cross_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_eigvals_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_lu_factor_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_lu_factor_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_matrix_norm_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_multi_dot_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_log10_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_log2_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_logcumsumexp_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_logical_or_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_logspace_tensor_overload_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_maximum_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_mode_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_mul_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_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_ones_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_reciprocal_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_scatter_reduce_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_sin_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_softmax_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_airy_ai_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_shifted_chebyshev_polynomial_t_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_meta_consistency_out_dtype_mismatch_sqrt_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_stack_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices___rpow___cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices__chunk_cat_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices__native_batch_norm_legit_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices__unsafe_masked_index_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices__unsafe_masked_index_put_accumulate_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_addcdiv_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_addcmul_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_addmv_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_amin_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_argmin_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_argwhere_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_as_strided_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_asin_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_atan2_cpu_int64, 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_atleast_3d_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_bincount_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_block_diag_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_bmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_bmm_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_bool_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_broadcast_tensors_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_bucketize_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_byte_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_cartesian_prod_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_ceil_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_clone_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_conj_physical_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_corrcoef_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_cos_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_cov_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_cummax_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cumulative_trapezoid_cpu_int64, 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_diag_cpu_int64, 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_div_no_rounding_mode_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_div_no_rounding_mode_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_dot_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_double_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_double_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_dsplit_cpu_float32, 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_erfinv_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_erfinv_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_expand_as_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_fft2_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_fft_cpu_float32, 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_ifftn_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_ifftshift_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_ihfft_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_ihfftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_irfft2_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_rfft_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_float_power_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fmax_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fmin_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_histc_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_hsplit_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_hypot_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_copy_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_reduce_amax_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_select_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_isnan_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_diagonal_cpu_int64, 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_factor_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_multi_dot_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_singular_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_solve_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linspace_tensor_overload_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_log_normal_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_log_softmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_logical_xor_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_logsumexp_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_lt_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_lu_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_cumsum_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_sum_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_matmul_cpu_float32, 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_float32, 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_movedim_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_msort_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_msort_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_mul_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_mvlgamma_mvlgamma_p_1_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_mvlgamma_mvlgamma_p_3_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_mvlgamma_mvlgamma_p_5_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_narrow_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_native_batch_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_new_empty_strided_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_new_ones_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_conv1d_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_conv3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_conv_transpose3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_conv_transpose3d_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_dropout2d_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_pad_constant_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pad_reflect_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pad_replicate_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_prelu_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_silu_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_soft_margin_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_softmin_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_tanhshrink_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_nonzero_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_pca_lowrank_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_polygamma_polygamma_n_0_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_positive_cpu_int64, 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_randint_like_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_randn_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_remainder_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_repeat_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_repeat_interleave_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_reshape_as_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_round_decimals_3_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_scatter_add_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_scatter_reduce_amin_cpu_float32, 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test/test_ops.py::TestMathBitsCPU::test_conj_view_permute_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_resize_as__cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_std_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_tile_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_to_sparse_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_trapezoid_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_unsafe_split_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_view_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_T_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view___rdiv___cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view___rmul___cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs__conversions_bfloat16_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs__conversions_bool_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_addr_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_alias_copy_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_asinh_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_atleast_1d_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_cumprod_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_diag_embed_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_diagonal_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_diagonal_scatter_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_fft_fftshift_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_fft_hfftn_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_fft_ifft2_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_fft_irfft_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_flipud_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_float_power_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_hstack_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_istft_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_logical_and_cpu_complex128, 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_logspace_tensor_overload_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_masked_fill_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_randn_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_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_triu_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__refs_where_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_zeros_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_addcdiv_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_alias_copy_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_atan_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_constant_pad_nd_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_count_nonzero_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_diagonal_copy_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_fftshift_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fft_hfft2_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fft_ifftshift_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fliplr_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_float_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_isfinite_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_jiterator_unary_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_ex_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_lu_factor_ex_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_hermitian_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_pinv_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_vecdot_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_logsumexp_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_cumsum_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_masked_fill_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_masked_var_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_nn_functional_conv_transpose2d_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_rms_norm_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_silu_complex_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_norm_inf_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_norm_nuc_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_randn_like_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_ravel_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_repeat_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_resolve_neg_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_roll_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_short_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_sinc_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_split_with_sizes_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_sub_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_t_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_tile_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_unbind_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_uniform_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_long_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_polar_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_short_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_abs_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_add_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_allclose_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_amax_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_arange_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_as_strided_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_asin_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_atanh_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_to_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_bucketize_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_cat_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_clamp_min_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_copysign_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_cosh_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_deg2rad_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_equal_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_erf_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_exp2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_exponential_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_rfftn_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_flatten_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_flipud_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_geometric_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_index_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_isnan_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_isposinf_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_isreal_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_linalg_cross_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_linalg_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_log10_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_logspace_tensor_overload_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_maximum_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_minimum_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_new_full_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_hardshrink_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_hinge_embedding_loss_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_pdist_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_tanhshrink_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_triplet_margin_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_remainder_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_renorm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_rot90_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_rsqrt_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_select_scatter_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_sgn_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_sin_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_entr_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_ndtri_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_xlog1py_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_std_mean_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_tanh_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_unsqueeze_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_unsqueeze_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_var_mean_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_view_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_abs_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_addcmul_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_addmm_decomposed_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_addr_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_allclose_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_aminmax_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_argmax_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_argmin_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_atan_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_atanh_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_atleast_1d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_bernoulli_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_clamp_max_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cov_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_diagonal_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_diff_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_div_floor_rounding_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_dstack_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_hfft2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_ihfft2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_rfftn_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_floor_divide_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_heaviside_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_hsplit_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_index_put_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_isin_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_isnan_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_item_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_kron_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_lerp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_cholesky_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_cholesky_ex_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_cross_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_householder_product_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_ldl_factor_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_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_lu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_pinv_singular_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_qr_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_solve_ex_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_tensorinv_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_logical_and_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_logical_or_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_normalize_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_min_reduction_with_dim_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_mm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_mode_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_new_empty_strided_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_celu_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_embedding_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_glu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_group_norm_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_layer_norm_cpu_float64, 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test/test_ops.py::TestFakeTensorCPU::test_fake_atanh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_atleast_3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast__chunk_cat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast__upsample_bilinear2d_aa_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_as_strided_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_atan2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_atan_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_atanh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_bitwise_not_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_bitwise_xor_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_bmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_conj_physical_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_cummax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_cumprod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_diagonal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_digamma_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_empty_permuted_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_empty_strided_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_exp2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_exponential_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_fft_fft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_fft_ifftshift_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_fft_ihfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_fft_irfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_fft_rfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_flatten_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_float_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_floor_divide_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_fmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_fmod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_full_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_ge_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_hash_tensor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_isin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_lerp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_lgamma_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_cross_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_eigh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_inv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_ldl_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_lu_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_matrix_rank_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_lu_unpack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_masked_fill_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_masked_logaddexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_masked_median_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_masked_sum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_matmul_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_max_pool2d_with_indices_backward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_max_reduction_no_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_msort_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_multinomial_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_native_dropout_backward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_ne_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_new_ones_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_new_zeros_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_conv_transpose3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_hardshrink_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_huber_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_leaky_relu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_local_response_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_margin_ranking_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_max_unpool2d_grad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_max_unpool3d_grad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_mse_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_multi_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_pad_circular_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_prelu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_soft_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_softshrink_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_tanhshrink_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_norm_nuc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_polygamma_polygamma_n_0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_rand_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_ravel_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_reciprocal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_resolve_neg_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_scatter_add_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_scatter_reduce_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_scatter_reduce_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_select_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_sgn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_signal_windows_cosine_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_sparse_mm_reduce_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_erfcx_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_hermite_polynomial_h_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_i1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_split_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_squeeze_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_std_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_transpose_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_trapezoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_tril_indices_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_trunc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_unique_consecutive_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_unique_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_unsqueeze_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_unsqueeze_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_vdot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_view_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_xlogy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_baddbmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_bitwise_and_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_bitwise_not_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_bool_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cauchy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cdist_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cfloat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_char_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cholesky_inverse_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_complex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cos_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp__segment_reduce_offsets_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_asinh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_atan_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_atleast_3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_bmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_ceil_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_complex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_constant_pad_nd_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_contiguous_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_cos_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_cummin_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_diag_embed_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_expand_as_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fft_fft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fft_fftshift_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_ifft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fft_ihfft2_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_irfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fmod_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_index_select_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_householder_product_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_lu_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_matrix_power_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_log_softmax_with_dtype_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_logaddexp2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_lu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_lu_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_cumsum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_max_pool2d_with_indices_backward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_maximum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_min_binary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_min_reduction_no_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_mvlgamma_mvlgamma_p_1_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_native_batch_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_avg_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_conv_transpose1d_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_ctc_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_embedding_bag_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_fractional_max_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_gelu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_grid_sample_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_interpolate_nearest_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_interpolate_trilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_leaky_relu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_linear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_local_response_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_max_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_max_unpool2d_grad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_mse_loss_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_prelu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_smooth_l1_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_softmin_with_dtype_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_softsign_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_norm_nuc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_permute_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_pinverse_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_polar_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_polygamma_polygamma_n_1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_reciprocal_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_rot90_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_slice_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_softmax_with_dtype_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_special_entr_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_special_i1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_split_with_sizes_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_mean_unbiased_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_tan_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_tensordot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_trapezoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_unfold_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_unsafe_chunk_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_as_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_xlogy_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_atan2_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_cholesky_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_cumprod_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_diagonal_scatter_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_double_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_dsplit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_exp2_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_hfftn_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_ifft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_ifftshift_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_ihfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_ihfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_rfft_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_lerp_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_diagonal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_eigh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_pinv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_solve_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_vander_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_log10_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_log_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_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_softmax_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_min_reduction_no_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_mode_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_neg_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_avg_pool1d_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_cosine_similarity_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_elu_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_max_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_max_unpool3d_grad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_pad_reflect_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_pixel_shuffle_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_reciprocal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_remainder_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_select_scatter_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_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_split_list_args_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_std_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_take_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_to_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_to_sparse_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_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_view_as_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_zero__cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_diag_embed_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_diagonal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_hfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_hfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_ifft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_irfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_flatten_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_hstack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_igamma_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_index_reduce_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_int_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_isclose_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_isnan_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_lu_factor_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_lu_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_matrix_power_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_matrix_rank_hermitian_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_multi_dot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_svd_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_vector_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_log1p_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_logical_not_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_long_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_argmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_log_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_select_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_max_binary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_maximum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_median_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_meshgrid_variadic_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_minimum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_movedim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_new_ones_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_avg_pool2d_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_channel_shuffle_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_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_max_unpool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_multi_head_attention_forward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_rms_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_unfold_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_norm_nuc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_normal_number_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_pinverse_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_polar_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_polygamma_polygamma_n_4_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_rad2deg_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_remainder_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_renorm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_repeat_interleave_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_reshape_as_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_rot90_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_scatter_add_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_searchsorted_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_signal_windows_cosine_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_signal_windows_gaussian_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_chebyshev_polynomial_u_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_entr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_i1e_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_scaled_modified_bessel_k1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_zeta_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_split_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_squeeze_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_svd_lowrank_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_tensor_split_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_tensordot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_triangular_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_unfold_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_var_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_view_as_complex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_zeros_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops___rmul___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops___rxor___cpu_int64, 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_addmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_addmm_decomposed_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_aminmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_arange_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_as_strided_partial_views_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_as_strided_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_asinh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_broadcast_shapes_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_broadcast_to_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cdouble_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_ceil_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cfloat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cholesky_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cholesky_inverse_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_clamp_min_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_combinations_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cov_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_diag_embed_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_diagflat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_div_floor_rounding_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_empty_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_empty_strided_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_float_power_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_floor_divide_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_geometric_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_geqrf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_grid_sampler_2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_hsplit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_hstack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_igammac_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_index_add_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_index_fill_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_index_reduce_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_index_select_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_isinf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_kron_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_ldexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_diagonal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_eigh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_eigvalsh_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_linalg_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_slogdet_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_svdvals_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linspace_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_logdet_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_lu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_lu_solve_cpu_float32, 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test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_tensor_overload_cpu_uint8, 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_zeros_cpu_int16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_arange_cpu_float16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_arange_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_full_cpu_bfloat16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_full_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_cpu_int16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_tensor_overload_cpu_bfloat16, 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test/test_ops.py::TestTagsCPU::test_tags_polygamma_polygamma_n_4_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_quantile_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_ravel_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_resolve_conj_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_add_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_scatter_reduce_amax_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_scatter_reduce_mean_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_sigmoid_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_signal_windows_exponential_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_signal_windows_gaussian_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_signal_windows_kaiser_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_sinc_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_slice_scatter_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_chebyshev_polynomial_t_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_i0e_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_modified_bessel_i0_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_scaled_modified_bessel_k0_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_xlog1py_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_sum_to_size_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_t_copy_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_unflatten_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_unfold_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_unique_consecutive_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_unravel_index_cpu_int64, test/test_ops.py::TestTagsCPU::test_tags_view_as_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_vsplit_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_zero__cpu_float32, test/test_ops.py::TestForwardADWithScalarsCPU::test_0d_tensor_with_python_scalar_div_no_rounding_mode_cpu_float32 2025-12-04T09:39:20.9415530Z 2025-12-04T09:39:20.9416089Z Finished test_ops 4/6 ... [2025-12-04 09:39:20.565320][5995.248052933], took 9.98min 2025-12-04T09:39:20.9417003Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops/test_ops-a99b5198c2ef046c.xml 2025-12-04T09:39:20.9418422Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_aotdispatch/functorch.test_aotdispatch-2b421e818583b26a.xml 2025-12-04T09:39:22.0556687Z 2025-12-04T09:39:22.0558219Z functorch/test_aotdispatch 5/9 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aotdispatch_5.9_dbdeb7e6dfbb4562_.log 2025-12-04T09:39:22.1024942Z Running 425 items in this shard: test/functorch/test_aotdispatch.py::TestAOTAutograd::test_custom_autograd, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_custom_tensor_metadata, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_default_partitioner_saves_symints_not_tensors_for_bw, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_dupe_arg, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_dupe_arg_torture, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_dynamic_output_aliases_input_view_meta_replay, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_metadata_mutation_aliases, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_return, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_mark_outputs_dynamic_use_autograd_False, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_nested_subclasses_non_nested_grad, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_aliases_intermediate_and_returned_flipped, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_aliases_intermediate_multiple_mixed, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_aliases_intermediate_view_meta_replay, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_some_outputs_dont_require_grad_non_view, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_view_and_inplace_view, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_functionalized_rng_banned, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_input_dupes_banned, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_input_mutation_on_input_requiring_grad_banned, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_predispatch_conv_and_bn, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_predispatch_func_composite_implicit, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_predispatch_with_cond_nested, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_simplified_pytrees_banned, test/functorch/test_aotdispatch.py::TestPartitioning::test_min_cut_partitioner_raise_getitems, 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test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_alias_copy_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_aminmax_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_argsort_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_atan_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_baddbmm_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_cauchy_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_conj_physical_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_cummax_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_diagflat_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_div_floor_rounding_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_div_trunc_rounding_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_dsplit_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_expm1_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_fft_fft2_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_fft_ihfft2_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_hash_tensor_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_histogram_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_hsplit_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_jiterator_binary_return_by_ref_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_kron_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_ldexp_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_cond_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_householder_product_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_norm_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_local_map_hop_simple_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_logical_not_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_mT_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_masked_normalize_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_masked_select_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_max_reduction_with_dim_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_mul_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_neg_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_adaptive_avg_pool1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_avg_pool3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_channel_shuffle_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_cosine_similarity_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_fractional_max_pool2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_hinge_embedding_loss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_interpolate_area_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_max_unpool2d_grad_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_pad_reflect_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_pairwise_distance_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_pixel_unshuffle_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_relu6_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_relu_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_silu_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_tanhshrink_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_permute_copy_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_polygamma_polygamma_n_0_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_polygamma_polygamma_n_2_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_polygamma_polygamma_n_4_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_pow_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_reciprocal_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_renorm_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_signal_windows_blackman_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_signal_windows_nuttall_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_slice_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_entr_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_erfcx_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_log_ndtr_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_modified_bessel_i1_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_xlog1py_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_std_mean_unbiased_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_sub_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_topk_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_trapezoid_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_unbind_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_view_copy_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_vstack_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_zero__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_BCELoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_BatchNorm1d_eval_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_BatchNorm3d_eval_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_Bilinear_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_ConvTranspose1d_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_L1Loss_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_MultiheadAttention_train_mode_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_Threshold_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_AvgPool1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_BatchNorm3d_eval_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Bilinear_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_CosineEmbeddingLoss_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_GRU_eval_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_InstanceNorm1d_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_InstanceNorm3d_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LPPool2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LazyConv1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LazyConv3d_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_MultiheadAttention_train_mode_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_SELU_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_TransformerEncoderLayer_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_ZeroPad3d_cpu_float32, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_alias_of_intermediate_detach_backend_aot_eager_view_replay_for_aliased_outputs_False_dynamic_shapes_True, 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_aot_eager_view_replay_for_aliased_outputs_True_dynamic_shapes_True, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_buffer_copied_in_graph_with_different_shapes, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_data_and_metadata_mutation, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_aliases_and_output_alias, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_aliases_other_input2, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_modifies_autograd_meta_of_aliases, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_requires_grad_no_grad_detach_mixed, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_simple, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_output_view_metadata_mutate_multiple, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_invalid_dupe_fake, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_mark_outputs_dynamic_use_autograd_False, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_mem_leak_from_save_for_bw, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_multi_output, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_mutates_input_noncontiguous, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_output_aliases_intermediate_and_returned, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_output_aliases_intermediate_and_returned_different_grad, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_output_aliases_intermediate_inplace_view, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_output_aliases_multiple_inputs_get_correct_one, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_real_weights_in_symbolic_mode, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_set__and_data_mutation_bad, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_set__not_allowed, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_view_and_inplace_view, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_alias_of_intermediate_detach_backend_aot_eager_view_replay_for_aliased_outputs_False_dynamic_shapes_True, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_batchnorm_inference, 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_mutation_alias_everything, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_hidden_from_autograd_aliasing, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_requires_grad_detach, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_return, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_storage_resize_before_set_, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_storage_resize_up, 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_mutates_input_noncontiguous, 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_mixed, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_single_output, 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_subclass_metadata_mutation_req_grad_False 2025-12-04T09:39:22.1335288Z 2025-12-04T09:39:22.1335683Z Finished functorch/test_aotdispatch 5/9 ... [2025-12-04 09:39:22.056227][5996.738963306], took 9.91min 2025-12-04T09:43:15.7507078Z 2025-12-04T09:43:15.7508023Z functorch/test_aotdispatch 7/9 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aotdispatch_7.9_0eec49f6a23fa94e_.log 2025-12-04T09:43:15.7730667Z Running 388 items in this shard: test/functorch/test_aotdispatch.py::TestAOTAutograd::test_alias_of_intermediate_detach_backend_aot_eager_view_replay_for_aliased_outputs_True_dynamic_shapes_True, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_alias_of_intermediate_detach_backend_inductor_view_replay_for_aliased_outputs_False_dynamic_shapes_False, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_backward_mutation_on_grad_out, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_backward_pass_autocast_custom, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_backward_pass_autocast_on, 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test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nanmedian_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_native_batch_norm_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_new_full_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nextafter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_adaptive_avg_pool2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_binary_cross_entropy_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_dropout2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_hardsigmoid_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_hardswish_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_huber_loss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_l1_loss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_leaky_relu_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_max_pool2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_max_unpool1d_grad_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_mish_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_pad_constant_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_softmin_with_dtype_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_triplet_margin_loss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_remainder_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_reshape_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_scatter_reduce_amax_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_sgn_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_signal_windows_cosine_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_sparse_mm_reduce_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_chebyshev_polynomial_t_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_i1e_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_trapz_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_tril_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_triu_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_trunc_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_unflatten_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_var_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_CircularPad1d_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_GaussianNLLLoss_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_LazyConvTranspose3d_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_PoissonNLLLoss_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_ReplicationPad2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_SmoothL1Loss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_Softsign_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_BatchNorm2d_eval_mode_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_ConstantPad3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_ConvTranspose1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LSTM_eval_mode_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_MaxPool3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_MultiLabelMarginLoss_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_ReplicationPad2d_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_TransformerDecoderLayer_cpu_float32, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_backward_mutation_forward_inputs, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_backward_pass_autocast_custom, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_batch_norm_amp, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_dupe_arg, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_dupe_arg_returned_as_output, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_fw_bw_mutation_no_functionalization2, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_grad_context, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_aliased_with_mutation_output_alias, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_alias_everything, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_and_output_view, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_return, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_simple_with_none_and_nontensor, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_storage_resize_down, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_invalid_dupe_left_bias, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_invalid_requires_grad_fake, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_mark_activations_dynamic, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_mark_activations_dynamic_with_nested, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_non_tensor_and_none_inputs, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_output_aliases_input_multi_output_view, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_output_aliases_intermediate_mutation_linear, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_output_aliases_intermediate_no_grad, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_saved_tensors_hooks_mutations_raise, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_single_output, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_some_output_requires_grad_input_doesnt, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_subclasses_mixed, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_synthetic_base_base_attribute_is_none, 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_complex_linear, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_dupe_arg, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_inference_mode, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_data_and_metadata_mutation, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_storage_resize_down_and_set_, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_invalid_dupe_left_bias, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_nested_subclasses_complicated_inps_mixed, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_input_view_meta_replay, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_intermediate_and_returned_flipped, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_intermediate_multiple, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_op_depending_on_symint, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_set__steals_view_chain, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_subclass_metadata_mutation_req_grad_True, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_view_and_inplace_view 2025-12-04T09:43:15.7953090Z 2025-12-04T09:43:15.7953435Z Finished functorch/test_aotdispatch 7/9 ... [2025-12-04 09:43:15.751152][6230.433889088], took 5.76min 2025-12-04T09:43:15.7954603Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_aotdispatch/functorch.test_aotdispatch-3d9e483954708ddf.xml 2025-12-04T09:43:16.5829053Z Running test batch 'tests to run' cost 5160.05 seconds 2025-12-04T09:43:20.4585763Z 2025-12-04T09:43:20.4586310Z real 86m7.737s 2025-12-04T09:43:20.4586597Z user 239m13.419s 2025-12-04T09:43:20.4586830Z sys 18m12.700s 2025-12-04T09:43:20.4608574Z + assert_git_not_dirty 2025-12-04T09:43:20.4647984Z + [[ linux-jammy-py3.14-clang12 != *rocm* ]] 2025-12-04T09:43:20.4648356Z + [[ linux-jammy-py3.14-clang12 != *xla* ]] 2025-12-04T09:43:20.4667699Z ++ git status --porcelain 2025-12-04T09:43:20.4668011Z ++ grep -v '?? third_party' 2025-12-04T09:44:05.8103347Z ++ true 2025-12-04T09:44:05.8131665Z + git_status= 2025-12-04T09:44:05.8131921Z + [[ -n '' ]] 2025-12-04T09:44:05.8138137Z + test_aten 2025-12-04T09:44:05.8138441Z + echo 'Running ATen tests with pytorch lib' 2025-12-04T09:44:05.8138928Z Running ATen tests with pytorch lib 2025-12-04T09:44:05.8139238Z + [[ -n '' ]] 2025-12-04T09:44:05.8139476Z + echo 'Running test with the build folder' 2025-12-04T09:44:05.8139818Z Running test with the build folder 2025-12-04T09:44:05.8140119Z + TEST_BASE_DIR=build/bin 2025-12-04T09:44:05.8140581Z + ln -sf /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libc10.so build/bin 2025-12-04T09:44:05.8172961Z + ln -sf '/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libcaffe2*' build/bin 2025-12-04T09:44:05.8184188Z + ln -sf '/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libmkldnn*' build/bin 2025-12-04T09:44:05.8202433Z + ln -sf '/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libnccl*' build/bin 2025-12-04T09:44:05.8214191Z + ln -sf /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libtorch.so /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libtorch_cpu.so /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libtorch_global_deps.so /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libtorch_python.so /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libtorchbind_test.so build/bin 2025-12-04T09:44:05.8223102Z + ls build/bin 2025-12-04T09:44:05.8282666Z BackoffTest cpu_generator_test 2025-12-04T09:44:05.8283153Z CMakeFiles cpu_profiling_allocator_test 2025-12-04T09:44:05.8283551Z CTestTestfile.cmake cpu_rng_test 2025-12-04T09:44:05.8284005Z CppSignature_test dlconvertor_test 2025-12-04T09:44:05.8284349Z Dict_test example_allreduce 2025-12-04T09:44:05.8284682Z Dimname_test extension_backend_test 2025-12-04T09:44:05.8285012Z FileStoreTest half_test 2025-12-04T09:44:05.8285340Z HashStoreTest inline_container_test 2025-12-04T09:44:05.8285802Z IListRef_test ivalue_test 2025-12-04T09:44:05.8286183Z KernelFunction_test kernel_function_legacy_test 2025-12-04T09:44:05.8286568Z List_test kernel_function_test 2025-12-04T09:44:05.8287062Z MaybeOwned_test kernel_lambda_legacy_test 2025-12-04T09:44:05.8287440Z NamedTensor_test kernel_lambda_test 2025-12-04T09:44:05.8287819Z ProcessGroupGlooTest kernel_stackbased_test 2025-12-04T09:44:05.8288216Z StorageUtils_test lazy_tensor_test 2025-12-04T09:44:05.8288610Z TCPStoreTest legacy_vmap_test 2025-12-04T09:44:05.8288920Z apply_utils_test libc10.so 2025-12-04T09:44:05.8289239Z atest 'libcaffe2*' 2025-12-04T09:44:05.8289538Z backend_fallback_test 'libmkldnn*' 2025-12-04T09:44:05.8289859Z basic 'libnccl*' 2025-12-04T09:44:05.8290126Z broadcast_test libtorch.so 2025-12-04T09:44:05.8290488Z c10_AllocatorConfig_test libtorch_cpu.so 2025-12-04T09:44:05.8290871Z c10_ArrayRef_test libtorch_global_deps.so 2025-12-04T09:44:05.8291225Z c10_Bitset_test libtorch_python.so 2025-12-04T09:44:05.8291736Z c10_CompileTimeFunctionPointer_test libtorchbind_test.so 2025-12-04T09:44:05.8292247Z c10_ConstexprCrc_test make_boxed_from_unboxed_functor_test 2025-12-04T09:44:05.8292715Z c10_DeadlockDetection_test math_kernel_test 2025-12-04T09:44:05.8293095Z c10_DeviceGuard_test memory_format_test 2025-12-04T09:44:05.8293473Z c10_Device_test memory_overlapping_test 2025-12-04T09:44:05.8293872Z c10_DispatchKeySet_test mobile_memory_cleanup 2025-12-04T09:44:05.8294233Z c10_Enumerate_test native_test 2025-12-04T09:44:05.8294562Z c10_Half_test op_allowlist_test 2025-12-04T09:44:05.8294940Z c10_InlineDeviceGuard_test op_registration_test 2025-12-04T09:44:05.8295404Z c10_InlineStreamGuard_test operator_name_test 2025-12-04T09:44:05.8295794Z c10_IntrusiveList_test operators_test 2025-12-04T09:44:05.8296184Z c10_LeftRight_test packedtensoraccessor_test 2025-12-04T09:44:05.8296586Z c10_NetworkFlow_test parallel_benchmark 2025-12-04T09:44:05.8296919Z c10_Scalar_test pow_test 2025-12-04T09:44:05.8297221Z c10_Semaphore_test protoc 2025-12-04T09:44:05.8297550Z c10_SizesAndStrides_test protoc-3.13.0.0 2025-12-04T09:44:05.8297898Z c10_StreamGuard_test quantized_test 2025-12-04T09:44:05.8298233Z c10_SymInt_test reduce_ops_test 2025-12-04T09:44:05.8298601Z c10_Synchronized_test reportMemoryUsage_test 2025-12-04T09:44:05.8298979Z c10_ThreadLocal_test scalar_tensor_test 2025-12-04T09:44:05.8299328Z c10_TypeIndex_test scalar_test 2025-12-04T09:44:05.8299669Z c10_accumulate_test static_runtime_bench 2025-12-04T09:44:05.8300032Z c10_bfloat16_test static_runtime_test 2025-12-04T09:44:05.8300386Z c10_bit_cast_test stride_properties_test 2025-12-04T09:44:05.8300765Z c10_complex_math_test tensor_iterator_test 2025-12-04T09:44:05.8301137Z c10_complex_test test_aoti_abi_check 2025-12-04T09:44:05.8301457Z c10_cow_test test_api 2025-12-04T09:44:05.8301744Z c10_error_test test_cpp_rpc 2025-12-04T09:44:05.8302074Z c10_exception_test test_dist_autograd 2025-12-04T09:44:05.8302399Z c10_flags_test test_jit 2025-12-04T09:44:05.8302703Z c10_generic_math_test test_lazy 2025-12-04T09:44:05.8303054Z c10_intrusive_ptr_benchmark test_parallel 2025-12-04T09:44:05.8303423Z c10_intrusive_ptr_test test_vec_half_AVX2 2025-12-04T09:44:05.8303788Z c10_irange_test test_vec_half_AVX512 2025-12-04T09:44:05.8304132Z c10_lazy_test test_vec_half_DEFAULT 2025-12-04T09:44:05.8304468Z c10_logging_test thread_init_test 2025-12-04T09:44:05.8304790Z c10_nofatal_test torch_shm_manager 2025-12-04T09:44:05.8305124Z c10_optional_test type_ptr_test 2025-12-04T09:44:05.8305472Z c10_ordered_preserving_dict_test type_test 2025-12-04T09:44:05.8305829Z c10_registry_test undefined_tensor_test 2025-12-04T09:44:05.8306219Z c10_small_vector_test vec_test_all_types_AVX2 2025-12-04T09:44:05.8306612Z c10_ssize_test vec_test_all_types_AVX512 2025-12-04T09:44:05.8307039Z c10_string_util_test vec_test_all_types_DEFAULT 2025-12-04T09:44:05.8307453Z c10_string_view_test verify_api_visibility 2025-12-04T09:44:05.8307815Z c10_tempfile_test weakref_test 2025-12-04T09:44:05.8308166Z c10_typeid_test wrapdim_test 2025-12-04T09:44:05.8308518Z cmake_install.cmake xla_tensor_test 2025-12-04T09:44:05.8308840Z cpu_allocator_test 2025-12-04T09:44:05.8309094Z + aten/tools/run_tests.sh build/bin 2025-12-04T09:44:05.8328091Z + set -e 2025-12-04T09:44:05.8331013Z ++ dirname aten/tools/run_tests.sh 2025-12-04T09:44:05.8352820Z + VALGRIND_SUP=/var/lib/jenkins/workspace/aten/tools/valgrind.sup 2025-12-04T09:44:05.8353357Z + export CPP_TESTS_DIR=build/bin 2025-12-04T09:44:05.8353654Z + CPP_TESTS_DIR=build/bin 2025-12-04T09:44:05.8353921Z + VALGRIND=ON 2025-12-04T09:44:05.8355787Z + 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 2025-12-04T09:44:09.5005197Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T09:44:09.5102046Z Found test times from artifacts 2025-12-04T09:44:09.5921904Z Found test times from artifacts 2025-12-04T09:44:09.5936844Z Running all tests 2025-12-04T09:44:09.5941661Z Running parallel tests on 3 processes 2025-12-04T09:44:09.5943054Z Name: tests to run (est. time: 0.0min) 2025-12-04T09:44:09.5943460Z Serial tests (0): 2025-12-04T09:44:09.5943709Z Parallel tests (19): 2025-12-04T09:44:09.5944029Z cpp/Dict_test 1/1 2025-12-04T09:44:09.5944284Z cpp/Dimname_test 1/1 2025-12-04T09:44:09.5944555Z cpp/NamedTensor_test 1/1 2025-12-04T09:44:09.5944895Z cpp/apply_utils_test 1/1 2025-12-04T09:44:09.5945168Z cpp/atest 1/1 2025-12-04T09:44:09.5945401Z cpp/basic 1/1 2025-12-04T09:44:09.5945691Z cpp/broadcast_test 1/1 2025-12-04T09:44:09.5945975Z cpp/cpu_generator_test 1/1 2025-12-04T09:44:09.5946275Z cpp/dlconvertor_test 1/1 2025-12-04T09:44:09.5946615Z cpp/extension_backend_test 1/1 2025-12-04T09:44:09.5946917Z cpp/lazy_tensor_test 1/1 2025-12-04T09:44:09.5947259Z cpp/legacy_vmap_test 1/1 2025-12-04T09:44:09.5947517Z cpp/native_test 1/1 2025-12-04T09:44:09.5947779Z cpp/operators_test 1/1 2025-12-04T09:44:09.5948120Z cpp/scalar_tensor_test 1/1 2025-12-04T09:44:09.5948399Z cpp/scalar_test 1/1 2025-12-04T09:44:09.5948646Z cpp/tensor_iterator_test 1/1 2025-12-04T09:44:09.5949011Z cpp/undefined_tensor_test 1/1 2025-12-04T09:44:09.5949310Z cpp/wrapdim_test 1/1 2025-12-04T09:44:09.5949627Z Name: excluded (est. time: 0.0min) 2025-12-04T09:44:09.5949922Z Serial tests (0): 2025-12-04T09:44:09.5950174Z Parallel tests (0): 2025-12-04T09:44:09.5950598Z Running cpp/Dict_test 1/1 ... [2025-12-04 09:44:09.594670][6284.277411534] 2025-12-04T09:44:09.5951045Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:44:09.5951877Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/Dict_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:44:09.594999] 2025-12-04T09:44:16.4201446Z 2025-12-04T09:44:16.4202388Z cpp/Dict_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dict_test_1.1_ec1349d0bed41f4d_.log 2025-12-04T09:44:16.4203035Z 2025-12-04T09:44:16.4203277Z Finished cpp/Dict_test 1/1 ... [2025-12-04 09:44:16.420018][6291.102756149], took 0.11min 2025-12-04T09:44:17.0519475Z Uploading artifacts took 0.62 seconds 2025-12-04T09:44:17.0519989Z Running cpp/Dimname_test 1/1 ... [2025-12-04 09:44:17.051717][6291.734455083] 2025-12-04T09:44:17.0520451Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:44:17.0522937Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/Dimname_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:44:17.052092] 2025-12-04T09:44:23.5259415Z 2025-12-04T09:44:23.5260489Z cpp/Dimname_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dimname_test_1.1_2f6fa2c7f7311c9e_.log 2025-12-04T09:44:23.5261166Z 2025-12-04T09:44:23.5261432Z Finished cpp/Dimname_test 1/1 ... [2025-12-04 09:44:23.525720][6298.208459513], took 0.11min 2025-12-04T09:44:23.5325881Z Running cpp/NamedTensor_test 1/1 ... [2025-12-04 09:44:23.532373][6298.21511303] 2025-12-04T09:44:23.5326375Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:44:23.5328767Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/NamedTensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:44:23.532694] 2025-12-04T09:44:29.9560687Z 2025-12-04T09:44:29.9561658Z cpp/NamedTensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.NamedTensor_test_1.1_126c04e38ecebb61_.log 2025-12-04T09:44:29.9562391Z 2025-12-04T09:44:29.9562737Z Finished cpp/NamedTensor_test 1/1 ... [2025-12-04 09:44:29.955876][6304.638617682], took 0.11min 2025-12-04T09:44:29.9626458Z Running cpp/apply_utils_test 1/1 ... [2025-12-04 09:44:29.962486][6304.645227451] 2025-12-04T09:44:29.9626954Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:44:29.9629647Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/apply_utils_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:44:29.962787] 2025-12-04T09:44:36.4359110Z 2025-12-04T09:44:36.4359989Z 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_36aa00c831f12c4f_.log 2025-12-04T09:44:36.4360694Z 2025-12-04T09:44:36.4360973Z Finished cpp/apply_utils_test 1/1 ... [2025-12-04 09:44:36.435680][6311.118421186], took 0.11min 2025-12-04T09:44:36.4424948Z Running cpp/atest 1/1 ... [2025-12-04 09:44:36.442301][6311.125042202] 2025-12-04T09:44:36.4425374Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:44:36.4427642Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/atest', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:44:36.442586] 2025-12-04T09:44:42.9166816Z 2025-12-04T09:44:42.9167660Z cpp/atest 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.atest_1.1_61095be569dec2f8_.log 2025-12-04T09:44:42.9168255Z 2025-12-04T09:44:42.9168545Z Finished cpp/atest 1/1 ... [2025-12-04 09:44:42.916457][6317.599196473], took 0.11min 2025-12-04T09:44:42.9233283Z Running cpp/basic 1/1 ... [2025-12-04 09:44:42.923132][6317.605872864] 2025-12-04T09:44:42.9233715Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:44:42.9236192Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/basic', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:44:42.923463] 2025-12-04T09:44:49.3973671Z 2025-12-04T09:44:49.3975000Z cpp/basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.basic_1.1_6175ce1ba3d29a9c_.log 2025-12-04T09:44:49.3976093Z 2025-12-04T09:44:49.3976542Z Finished cpp/basic 1/1 ... [2025-12-04 09:44:49.397097][6324.079838325], took 0.11min 2025-12-04T09:44:49.4041255Z Running cpp/broadcast_test 1/1 ... [2025-12-04 09:44:49.403901][6324.08664172] 2025-12-04T09:44:49.4042005Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:44:49.4044731Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/broadcast_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:44:49.404227] 2025-12-04T09:44:55.8781014Z 2025-12-04T09:44:55.8781997Z cpp/broadcast_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.broadcast_test_1.1_53d3f934a784b752_.log 2025-12-04T09:44:55.8782708Z 2025-12-04T09:44:55.8783268Z Finished cpp/broadcast_test 1/1 ... [2025-12-04 09:44:55.877879][6330.560617713], took 0.11min 2025-12-04T09:44:55.8846976Z Running cpp/cpu_generator_test 1/1 ... [2025-12-04 09:44:55.884501][6330.567242036] 2025-12-04T09:44:55.8847467Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:44:55.8850286Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cpu_generator_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:44:55.884843] 2025-12-04T09:45:02.3082735Z 2025-12-04T09:45:02.3083633Z 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_272be5ca0ab1cf85_.log 2025-12-04T09:45:02.3084341Z 2025-12-04T09:45:02.3084643Z Finished cpp/cpu_generator_test 1/1 ... [2025-12-04 09:45:02.308053][6336.990791921], took 0.11min 2025-12-04T09:45:02.3148526Z Running cpp/dlconvertor_test 1/1 ... [2025-12-04 09:45:02.314669][6336.997409023] 2025-12-04T09:45:02.3149275Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:45:02.3151605Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/dlconvertor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:45:02.314989] 2025-12-04T09:45:08.7884700Z 2025-12-04T09:45:08.7885705Z cpp/dlconvertor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.dlconvertor_test_1.1_5cd8aa12baf174be_.log 2025-12-04T09:45:08.7886382Z 2025-12-04T09:45:08.7886672Z Finished cpp/dlconvertor_test 1/1 ... [2025-12-04 09:45:08.788203][6343.470942951], took 0.11min 2025-12-04T09:45:08.7949391Z Running cpp/extension_backend_test 1/1 ... [2025-12-04 09:45:08.794777][6343.477518841] 2025-12-04T09:45:08.7950141Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:45:08.7952265Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/extension_backend_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:45:08.795059] 2025-12-04T09:45:15.3182764Z 2025-12-04T09:45:15.3183682Z 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_7eb540f1e8694aad_.log 2025-12-04T09:45:15.3184415Z 2025-12-04T09:45:15.3184742Z Finished cpp/extension_backend_test 1/1 ... [2025-12-04 09:45:15.318065][6350.000806258], took 0.11min 2025-12-04T09:45:15.3248062Z Running cpp/lazy_tensor_test 1/1 ... [2025-12-04 09:45:15.324646][6350.007387906] 2025-12-04T09:45:15.3248539Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:45:15.3250972Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/lazy_tensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:45:15.324921] 2025-12-04T09:45:21.7491812Z 2025-12-04T09:45:21.7492699Z 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_129ffc4b80124f8a_.log 2025-12-04T09:45:21.7493410Z 2025-12-04T09:45:21.7493693Z Finished cpp/lazy_tensor_test 1/1 ... [2025-12-04 09:45:21.748956][6356.431697418], took 0.11min 2025-12-04T09:45:21.7557363Z Running cpp/legacy_vmap_test 1/1 ... [2025-12-04 09:45:21.755530][6356.438270672] 2025-12-04T09:45:21.7557985Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:45:21.7560535Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/legacy_vmap_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:45:21.755847] 2025-12-04T09:45:28.2807804Z 2025-12-04T09:45:28.2809054Z 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_73041dcd6046178a_.log 2025-12-04T09:45:28.2809748Z 2025-12-04T09:45:28.2810046Z Finished cpp/legacy_vmap_test 1/1 ... [2025-12-04 09:45:28.280570][6362.963311083], took 0.11min 2025-12-04T09:45:28.2872956Z Running cpp/native_test 1/1 ... [2025-12-04 09:45:28.287068][6362.96980921] 2025-12-04T09:45:28.2873560Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:45:28.2876021Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/native_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:45:28.287354] 2025-12-04T09:45:34.7608791Z 2025-12-04T09:45:34.7609873Z cpp/native_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.native_test_1.1_57dfd7fb0a79ccfa_.log 2025-12-04T09:45:34.7610524Z 2025-12-04T09:45:34.7610798Z Finished cpp/native_test 1/1 ... [2025-12-04 09:45:34.760670][6369.44341031], took 0.11min 2025-12-04T09:45:34.7675422Z Running cpp/operators_test 1/1 ... [2025-12-04 09:45:34.767343][6369.450083101] 2025-12-04T09:45:34.7675896Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:45:34.7678348Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/operators_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:45:34.767672] 2025-12-04T09:45:41.2415643Z 2025-12-04T09:45:41.2417057Z cpp/operators_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.operators_test_1.1_ae1bedb2d331e01e_.log 2025-12-04T09:45:41.2418333Z 2025-12-04T09:45:41.2418850Z Finished cpp/operators_test 1/1 ... [2025-12-04 09:45:41.241349][6375.924089578], took 0.11min 2025-12-04T09:45:41.2484322Z Running cpp/scalar_tensor_test 1/1 ... [2025-12-04 09:45:41.248168][6375.930909175] 2025-12-04T09:45:41.2485099Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:45:41.2487276Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/scalar_tensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:45:41.248527] 2025-12-04T09:45:47.7225740Z 2025-12-04T09:45:47.7226725Z 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_be624b0292cb448a_.log 2025-12-04T09:45:47.7227460Z 2025-12-04T09:45:47.7227783Z Finished cpp/scalar_tensor_test 1/1 ... [2025-12-04 09:45:47.722356][6382.405096965], took 0.11min 2025-12-04T09:45:47.7292402Z Running cpp/scalar_test 1/1 ... [2025-12-04 09:45:47.729021][6382.411761374] 2025-12-04T09:45:47.7292861Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:45:47.7295315Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/scalar_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:45:47.729347] 2025-12-04T09:45:54.1524605Z 2025-12-04T09:45:54.1525485Z cpp/scalar_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.scalar_test_1.1_175db09c1228f6da_.log 2025-12-04T09:45:54.1526103Z 2025-12-04T09:45:54.1526373Z Finished cpp/scalar_test 1/1 ... [2025-12-04 09:45:54.152250][6388.834989643], took 0.11min 2025-12-04T09:45:54.1591691Z Running cpp/tensor_iterator_test 1/1 ... [2025-12-04 09:45:54.158958][6388.841698405] 2025-12-04T09:45:54.1592193Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:45:54.1594666Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/tensor_iterator_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:45:54.159282] 2025-12-04T09:46:00.6326230Z 2025-12-04T09:46:00.6327172Z 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_e1e931b99ffc2eec_.log 2025-12-04T09:46:00.6327894Z 2025-12-04T09:46:00.6328218Z Finished cpp/tensor_iterator_test 1/1 ... [2025-12-04 09:46:00.632433][6395.315174156], took 0.11min 2025-12-04T09:46:00.6391897Z Running cpp/undefined_tensor_test 1/1 ... [2025-12-04 09:46:00.639036][6395.3217772] 2025-12-04T09:46:00.6392452Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:46:00.6394928Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/undefined_tensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:46:00.639328] 2025-12-04T09:46:07.0643913Z 2025-12-04T09:46:07.0645399Z 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_a42834f5b611eda3_.log 2025-12-04T09:46:07.0646840Z 2025-12-04T09:46:07.0647346Z Finished cpp/undefined_tensor_test 1/1 ... [2025-12-04 09:46:07.064212][6401.746952921], took 0.11min 2025-12-04T09:46:07.0709786Z Running cpp/wrapdim_test 1/1 ... [2025-12-04 09:46:07.070788][6401.753528699] 2025-12-04T09:46:07.0710379Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:46:07.0712454Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/wrapdim_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:46:07.071070] 2025-12-04T09:46:13.4942013Z 2025-12-04T09:46:13.4942834Z cpp/wrapdim_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.wrapdim_test_1.1_15d3947cd7d52384_.log 2025-12-04T09:46:13.4943497Z 2025-12-04T09:46:13.4943758Z Finished cpp/wrapdim_test 1/1 ... [2025-12-04 09:46:13.494032][6408.176772947], took 0.11min 2025-12-04T09:46:15.7154268Z Running cpp/Dict_test 1/1 ... [2025-12-04 09:46:15.715051][6410.397788248] 2025-12-04T09:46:15.7154867Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:46:15.7156113Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/Dict_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:46:15.715421] 2025-12-04T09:46:15.7252546Z Running cpp/Dimname_test 1/1 ... [2025-12-04 09:46:15.725016][6410.407753496] 2025-12-04T09:46:15.7253003Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:46:15.7255630Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/Dimname_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:46:15.725374] 2025-12-04T09:46:15.7256779Z Running cpp/NamedTensor_test 1/1 ... [2025-12-04 09:46:15.725497][6410.408232604] 2025-12-04T09:46:15.7257237Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:46:15.7260856Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/NamedTensor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:46:15.725845] 2025-12-04T09:46:24.1042180Z 2025-12-04T09:46:24.1043772Z cpp/NamedTensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.NamedTensor_test_1.1_e0a309d774c85e44_.log 2025-12-04T09:46:24.1045249Z 2025-12-04T09:46:24.1045852Z Finished cpp/NamedTensor_test 1/1 ... [2025-12-04 09:46:24.104086][6418.786822423], took 0.14min 2025-12-04T09:46:24.3046245Z 2025-12-04T09:46:24.3047499Z cpp/Dimname_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dimname_test_1.1_7d4c7b7b3b2006a7_.log 2025-12-04T09:46:24.3048628Z 2025-12-04T09:46:24.3049102Z Finished cpp/Dimname_test 1/1 ... [2025-12-04 09:46:24.304517][6418.987255142], took 0.14min 2025-12-04T09:46:27.1771115Z Running cpp/apply_utils_test 1/1 ... [2025-12-04 09:46:27.176658][6421.859392846] 2025-12-04T09:46:27.1772059Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:46:27.1774008Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/apply_utils_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:46:27.177065] 2025-12-04T09:46:27.3433975Z Running cpp/atest 1/1 ... [2025-12-04 09:46:27.343016][6422.025754321] 2025-12-04T09:46:27.3434727Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:46:27.3436225Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/atest', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:46:27.343392] 2025-12-04T09:46:28.1011241Z 2025-12-04T09:46:28.1012197Z cpp/Dict_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dict_test_1.1_a200b7ce5d0f4c5e_.log 2025-12-04T09:46:28.1012848Z 2025-12-04T09:46:28.1013110Z Finished cpp/Dict_test 1/1 ... [2025-12-04 09:46:28.101053][6422.783791968], took 0.21min 2025-12-04T09:46:31.3926552Z Running cpp/basic 1/1 ... [2025-12-04 09:46:31.392217][6426.074952958] 2025-12-04T09:46:31.3927090Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:46:31.3929352Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/basic', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:46:31.392646] 2025-12-04T09:46:35.1550860Z 2025-12-04T09:46:35.1552341Z 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_cd7575defb37c0ab_.log 2025-12-04T09:46:35.1553447Z 2025-12-04T09:46:35.1553854Z Finished cpp/apply_utils_test 1/1 ... [2025-12-04 09:46:35.154917][6429.837652385], took 0.13min 2025-12-04T09:46:36.3225780Z 2025-12-04T09:46:36.3226861Z cpp/atest 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.atest_1.1_44100d16a8bf471c_.log 2025-12-04T09:46:36.3227806Z 2025-12-04T09:46:36.3228191Z Finished cpp/atest 1/1 ... [2025-12-04 09:46:36.322474][6431.005211303], took 0.15min 2025-12-04T09:46:38.2966365Z Running cpp/broadcast_test 1/1 ... [2025-12-04 09:46:38.296157][6432.978892751] 2025-12-04T09:46:38.2967475Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:46:38.2968816Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/broadcast_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:46:38.296597] 2025-12-04T09:46:39.3921557Z Running cpp/cpu_generator_test 1/1 ... [2025-12-04 09:46:39.391764][6434.074501382] 2025-12-04T09:46:39.3922417Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:46:39.3924019Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cpu_generator_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:46:39.392163] 2025-12-04T09:46:39.4213699Z 2025-12-04T09:46:39.4214538Z cpp/basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.basic_1.1_80656f519c120ebc_.log 2025-12-04T09:46:39.4215427Z 2025-12-04T09:46:39.4215674Z Finished cpp/basic 1/1 ... [2025-12-04 09:46:39.421309][6434.104047841], took 0.13min 2025-12-04T09:46:42.6792317Z Running cpp/dlconvertor_test 1/1 ... [2025-12-04 09:46:42.678764][6437.361500595] 2025-12-04T09:46:42.6793897Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:46:42.6795406Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/dlconvertor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:46:42.679174] 2025-12-04T09:46:45.7734920Z 2025-12-04T09:46:45.7736394Z cpp/broadcast_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.broadcast_test_1.1_14bd8f29f7d37d14_.log 2025-12-04T09:46:45.7737662Z 2025-12-04T09:46:45.7738197Z Finished cpp/broadcast_test 1/1 ... [2025-12-04 09:46:45.773296][6440.456034651], took 0.12min 2025-12-04T09:46:48.5230332Z 2025-12-04T09:46:48.5231746Z 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_5f14a5191aff6e9a_.log 2025-12-04T09:46:48.5233101Z 2025-12-04T09:46:48.5233650Z Finished cpp/cpu_generator_test 1/1 ... [2025-12-04 09:46:48.522913][6443.205648652], took 0.15min 2025-12-04T09:46:48.8936454Z Running cpp/extension_backend_test 1/1 ... [2025-12-04 09:46:48.893175][6443.575911825] 2025-12-04T09:46:48.8937514Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:46:48.8939275Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/extension_backend_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:46:48.893560] 2025-12-04T09:46:50.4070129Z 2025-12-04T09:46:50.4071040Z cpp/dlconvertor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.dlconvertor_test_1.1_5c3ded388ae2e76a_.log 2025-12-04T09:46:50.4071761Z 2025-12-04T09:46:50.4072074Z Finished cpp/dlconvertor_test 1/1 ... [2025-12-04 09:46:50.406933][6445.089670957], took 0.13min 2025-12-04T09:46:51.5758907Z Running cpp/lazy_tensor_test 1/1 ... [2025-12-04 09:46:51.575495][6446.258233068] 2025-12-04T09:46:51.5759494Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:46:51.5760952Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/lazy_tensor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:46:51.575864] 2025-12-04T09:46:53.4932448Z Running cpp/legacy_vmap_test 1/1 ... [2025-12-04 09:46:53.492727][6448.175463961] 2025-12-04T09:46:53.4933360Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:46:53.4935058Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/legacy_vmap_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:46:53.493099] 2025-12-04T09:46:56.3205357Z 2025-12-04T09:46:56.3206562Z 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_be9c731a395676bd_.log 2025-12-04T09:46:56.3207647Z 2025-12-04T09:46:56.3208187Z Finished cpp/extension_backend_test 1/1 ... [2025-12-04 09:46:56.320390][6451.00312592], took 0.12min 2025-12-04T09:46:59.1027643Z 2025-12-04T09:46:59.1028630Z 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_fe866587b4877309_.log 2025-12-04T09:46:59.1029356Z 2025-12-04T09:46:59.1029661Z Finished cpp/lazy_tensor_test 1/1 ... [2025-12-04 09:46:59.102624][6453.785362426], took 0.13min 2025-12-04T09:46:59.4365202Z Running cpp/native_test 1/1 ... [2025-12-04 09:46:59.436138][6454.118876049] 2025-12-04T09:46:59.4365746Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:46:59.4367563Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/native_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:46:59.436518] 2025-12-04T09:47:02.1482506Z Running cpp/operators_test 1/1 ... [2025-12-04 09:47:02.147819][6456.830557032] 2025-12-04T09:47:02.1483168Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:47:02.1484522Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/operators_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:47:02.148219] 2025-12-04T09:47:03.1743121Z 2025-12-04T09:47:03.1744364Z 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_2d783da7982246df_.log 2025-12-04T09:47:03.1745048Z 2025-12-04T09:47:03.1745342Z Finished cpp/legacy_vmap_test 1/1 ... [2025-12-04 09:47:03.174191][6457.856930277], took 0.16min 2025-12-04T09:47:06.3904519Z Running cpp/scalar_tensor_test 1/1 ... [2025-12-04 09:47:06.390064][6461.072801233] 2025-12-04T09:47:06.3905041Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:47:06.3906739Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/scalar_tensor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:47:06.390450] 2025-12-04T09:47:06.9135963Z 2025-12-04T09:47:06.9137559Z cpp/native_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.native_test_1.1_dc3c961446700629_.log 2025-12-04T09:47:06.9138787Z 2025-12-04T09:47:06.9139266Z Finished cpp/native_test 1/1 ... [2025-12-04 09:47:06.913456][6461.59619206], took 0.12min 2025-12-04T09:47:10.1323910Z Running cpp/scalar_test 1/1 ... [2025-12-04 09:47:10.131966][6464.81470358] 2025-12-04T09:47:10.1324780Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:47:10.1326239Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/scalar_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:47:10.132331] 2025-12-04T09:47:10.2258674Z 2025-12-04T09:47:10.2259644Z cpp/operators_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.operators_test_1.1_bdf3a1d4e80de54b_.log 2025-12-04T09:47:10.2260743Z 2025-12-04T09:47:10.2261231Z Finished cpp/operators_test 1/1 ... [2025-12-04 09:47:10.225699][6464.908438015], took 0.13min 2025-12-04T09:47:13.5401775Z Running cpp/tensor_iterator_test 1/1 ... [2025-12-04 09:47:13.539821][6468.222556384] 2025-12-04T09:47:13.5403414Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:47:13.5404439Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/tensor_iterator_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:47:13.540194] 2025-12-04T09:47:13.7162967Z 2025-12-04T09:47:13.7164341Z 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_d324a1f2f5a4f046_.log 2025-12-04T09:47:13.7165119Z 2025-12-04T09:47:13.7165532Z Finished cpp/scalar_tensor_test 1/1 ... [2025-12-04 09:47:13.716187][6468.398923203], took 0.12min 2025-12-04T09:47:17.0253571Z Running cpp/undefined_tensor_test 1/1 ... [2025-12-04 09:47:17.025021][6471.707759323] 2025-12-04T09:47:17.0254134Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:47:17.0255915Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/undefined_tensor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:47:17.025381] 2025-12-04T09:47:17.7594604Z 2025-12-04T09:47:17.7595511Z cpp/scalar_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.scalar_test_1.1_7cf038a2ae3073ae_.log 2025-12-04T09:47:17.7596145Z 2025-12-04T09:47:17.7596402Z Finished cpp/scalar_test 1/1 ... [2025-12-04 09:47:17.759323][6472.44206185], took 0.13min 2025-12-04T09:47:20.9567464Z Running cpp/wrapdim_test 1/1 ... [2025-12-04 09:47:20.956322][6475.639059854] 2025-12-04T09:47:20.9568233Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:47:20.9569483Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/wrapdim_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:47:20.956709] 2025-12-04T09:47:24.4025717Z 2025-12-04T09:47:24.4027027Z 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_b31ba23c670ba501_.log 2025-12-04T09:47:24.4027803Z 2025-12-04T09:47:24.4028111Z Finished cpp/undefined_tensor_test 1/1 ... [2025-12-04 09:47:24.402423][6479.085161718], took 0.12min 2025-12-04T09:47:27.2303536Z 2025-12-04T09:47:27.2304578Z 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_6c5c34d46e3dcd49_.log 2025-12-04T09:47:27.2305280Z 2025-12-04T09:47:27.2305606Z Finished cpp/tensor_iterator_test 1/1 ... [2025-12-04 09:47:27.230217][6481.912954603], took 0.23min 2025-12-04T09:47:28.2842915Z 2025-12-04T09:47:28.2844220Z cpp/wrapdim_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.wrapdim_test_1.1_04b93f89039c2f34_.log 2025-12-04T09:47:28.2845217Z 2025-12-04T09:47:28.2845619Z Finished cpp/wrapdim_test 1/1 ... [2025-12-04 09:47:28.284253][6482.966988267], took 0.12min 2025-12-04T09:47:30.8335288Z Running test batch 'tests to run' cost 201.24 seconds 2025-12-04T09:47:31.5572213Z + run_if_exists tensor_interop_test 2025-12-04T09:47:31.5573058Z + local test_name=tensor_interop_test 2025-12-04T09:47:31.5574198Z + [[ -x build/bin/tensor_interop_test ]] 2025-12-04T09:47:31.5574856Z + echo 'Warning: tensor_interop_test does not exist.' 2025-12-04T09:47:31.5575296Z Warning: tensor_interop_test does not exist. 2025-12-04T09:47:31.5575799Z + run_if_exists cudnn_test 2025-12-04T09:47:31.5576350Z + local test_name=cudnn_test 2025-12-04T09:47:31.5576732Z + [[ -x build/bin/cudnn_test ]] 2025-12-04T09:47:31.5577087Z + echo 'Warning: cudnn_test does not exist.' 2025-12-04T09:47:31.5577500Z Warning: cudnn_test does not exist. 2025-12-04T09:47:31.5577801Z + run_if_exists cuda_generator_test 2025-12-04T09:47:31.5578173Z + local test_name=cuda_generator_test 2025-12-04T09:47:31.5578543Z + [[ -x build/bin/cuda_generator_test ]] 2025-12-04T09:47:31.5578903Z + echo 'Warning: cuda_generator_test does not exist.' 2025-12-04T09:47:31.5579297Z Warning: cuda_generator_test does not exist. 2025-12-04T09:47:31.5579637Z + run_if_exists apply_test 2025-12-04T09:47:31.5579910Z + local test_name=apply_test 2025-12-04T09:47:31.5580197Z + [[ -x build/bin/apply_test ]] 2025-12-04T09:47:31.5580744Z + echo 'Warning: apply_test does not exist.' 2025-12-04T09:47:31.5581096Z Warning: apply_test does not exist. 2025-12-04T09:47:31.5581395Z + run_if_exists stream_test 2025-12-04T09:47:31.5581680Z + local test_name=stream_test 2025-12-04T09:47:31.5581970Z + [[ -x build/bin/stream_test ]] 2025-12-04T09:47:31.5582343Z + echo 'Warning: stream_test does not exist.' 2025-12-04T09:47:31.5582687Z Warning: stream_test does not exist. 2025-12-04T09:47:31.5582996Z + run_if_exists cuda_half_test 2025-12-04T09:47:31.5583272Z + local test_name=cuda_half_test 2025-12-04T09:47:31.5583572Z + [[ -x build/bin/cuda_half_test ]] 2025-12-04T09:47:31.5583917Z + echo 'Warning: cuda_half_test does not exist.' 2025-12-04T09:47:31.5584262Z Warning: cuda_half_test does not exist. 2025-12-04T09:47:31.5584592Z + run_if_exists cuda_vectorized_test 2025-12-04T09:47:31.5584982Z + local test_name=cuda_vectorized_test 2025-12-04T09:47:31.5585298Z + [[ -x build/bin/cuda_vectorized_test ]] 2025-12-04T09:47:31.5585679Z + echo 'Warning: cuda_vectorized_test does not exist.' 2025-12-04T09:47:31.5586074Z Warning: cuda_vectorized_test does not exist. 2025-12-04T09:47:31.5586431Z + run_if_exists cuda_distributions_test 2025-12-04T09:47:31.5586755Z + local test_name=cuda_distributions_test 2025-12-04T09:47:31.5587125Z + [[ -x build/bin/cuda_distributions_test ]] 2025-12-04T09:47:31.5587518Z + echo 'Warning: cuda_distributions_test does not exist.' 2025-12-04T09:47:31.5587938Z Warning: cuda_distributions_test does not exist. 2025-12-04T09:47:31.5588287Z + run_if_exists cuda_optional_test 2025-12-04T09:47:31.5588600Z + local test_name=cuda_optional_test 2025-12-04T09:47:31.5588973Z + [[ -x build/bin/cuda_optional_test ]] 2025-12-04T09:47:31.5589320Z + echo 'Warning: cuda_optional_test does not exist.' 2025-12-04T09:47:31.5589700Z Warning: cuda_optional_test does not exist. 2025-12-04T09:47:31.5590053Z + run_if_exists cuda_tensor_interop_test 2025-12-04T09:47:31.5590383Z + local test_name=cuda_tensor_interop_test 2025-12-04T09:47:31.5590730Z + [[ -x build/bin/cuda_tensor_interop_test ]] 2025-12-04T09:47:31.5591135Z + echo 'Warning: cuda_tensor_interop_test does not exist.' 2025-12-04T09:47:31.5591547Z Warning: cuda_tensor_interop_test does not exist. 2025-12-04T09:47:31.5591909Z + run_if_exists cuda_complex_test 2025-12-04T09:47:31.5592218Z + local test_name=cuda_complex_test 2025-12-04T09:47:31.5592547Z + [[ -x build/bin/cuda_complex_test ]] 2025-12-04T09:47:31.5592902Z + echo 'Warning: cuda_complex_test does not exist.' 2025-12-04T09:47:31.5593269Z Warning: cuda_complex_test does not exist. 2025-12-04T09:47:31.5593612Z + run_if_exists cuda_complex_math_test 2025-12-04T09:47:31.5593942Z + local test_name=cuda_complex_math_test 2025-12-04T09:47:31.5594269Z + [[ -x build/bin/cuda_complex_math_test ]] 2025-12-04T09:47:31.5594655Z + echo 'Warning: cuda_complex_math_test does not exist.' 2025-12-04T09:47:31.5595072Z Warning: cuda_complex_math_test does not exist. 2025-12-04T09:47:31.5595425Z + run_if_exists cuda_cub_test 2025-12-04T09:47:31.5595705Z + local test_name=cuda_cub_test 2025-12-04T09:47:31.5596004Z + [[ -x build/bin/cuda_cub_test ]] 2025-12-04T09:47:31.5596339Z + echo 'Warning: cuda_cub_test does not exist.' 2025-12-04T09:47:31.5596683Z Warning: cuda_cub_test does not exist. 2025-12-04T09:47:31.5597014Z + run_if_exists cuda_atomic_ops_test 2025-12-04T09:47:31.5597335Z + local test_name=cuda_atomic_ops_test 2025-12-04T09:47:31.5597649Z + [[ -x build/bin/cuda_atomic_ops_test ]] 2025-12-04T09:47:31.5598123Z + echo 'Warning: cuda_atomic_ops_test does not exist.' 2025-12-04T09:47:31.5598516Z Warning: cuda_atomic_ops_test does not exist. 2025-12-04T09:47:31.5598857Z + run_if_exists cuda_allocator_test 2025-12-04T09:47:31.5599178Z + local test_name=cuda_allocator_test 2025-12-04T09:47:31.5599504Z + [[ -x build/bin/cuda_allocator_test ]] 2025-12-04T09:47:31.5599870Z + echo 'Warning: cuda_allocator_test does not exist.' 2025-12-04T09:47:31.5600249Z Warning: cuda_allocator_test does not exist. 2025-12-04T09:47:31.5600577Z + '[' ON == ON ']' 2025-12-04T09:47:31.5601323Z + valgrind --suppressions=/var/lib/jenkins/workspace/aten/tools/valgrind.sup --error-exitcode=1 build/bin/basic '--gtest_filter=-*CUDA' 2025-12-04T09:47:31.5887241Z ==32635== Memcheck, a memory error detector 2025-12-04T09:47:31.5887983Z ==32635== Copyright (C) 2002-2022, and GNU GPL'd, by Julian Seward et al. 2025-12-04T09:47:31.5888570Z ==32635== Using Valgrind-3.20.0 and LibVEX; rerun with -h for copyright info 2025-12-04T09:47:31.5889076Z ==32635== Command: build/bin/basic --gtest_filter=-*CUDA 2025-12-04T09:47:31.5889420Z ==32635== 2025-12-04T09:47:32.1411828Z ==32635== Warning: set address range perms: large range [0x4a4c000, 0x19cdb000) (defined) 2025-12-04T09:47:32.1412538Z ==32635== Warning: set address range perms: large range [0x5d2d000, 0x16d2d000) (defined) 2025-12-04T09:47:55.6790506Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc 2025-12-04T09:47:55.7083220Z Note: Google Test filter = -*CUDA 2025-12-04T09:47:55.7133210Z [==========] Running 6 tests from 1 test suite. 2025-12-04T09:47:55.7159683Z [----------] Global test environment set-up. 2025-12-04T09:47:55.7229510Z [----------] 6 tests from BasicTest 2025-12-04T09:47:55.7253054Z [ RUN ] BasicTest.BasicTestCPU 2025-12-04T09:47:57.1911728Z 585 ms 2025-12-04T09:47:57.2683879Z 49 ms 2025-12-04T09:47:57.3317641Z 56 ms 2025-12-04T09:47:58.3145706Z [ OK ] BasicTest.BasicTestCPU (2587 ms) 2025-12-04T09:47:58.3181709Z [ RUN ] BasicTest.BasicTestHalfCPU 2025-12-04T09:47:58.7068215Z 345 ms 2025-12-04T09:47:58.7522644Z 40 ms 2025-12-04T09:47:58.8100706Z 55 ms 2025-12-04T09:47:58.8585654Z [ OK ] BasicTest.BasicTestHalfCPU (539 ms) 2025-12-04T09:47:58.8586043Z [ RUN ] BasicTest.FactoryMethodsTest 2025-12-04T09:47:58.8898729Z [ OK ] BasicTest.FactoryMethodsTest (31 ms) 2025-12-04T09:47:58.8899119Z [ RUN ] BasicTest.BasicStdTestCPU 2025-12-04T09:47:59.0444408Z Simple example: called once 2025-12-04T09:47:59.0912899Z throw: call_once will retry 2025-12-04T09:47:59.0927458Z Didn't throw, call_once will not attempt again 2025-12-04T09:47:59.0947084Z [ OK ] BasicTest.BasicStdTestCPU (204 ms) 2025-12-04T09:47:59.0947473Z [ RUN ] BasicTest.TestForBlobResizeCPU 2025-12-04T09:47:59.1109499Z [ OK ] BasicTest.TestForBlobResizeCPU (16 ms) 2025-12-04T09:47:59.1109915Z [ RUN ] BasicTest.TestForBlobStridesResizeCPU 2025-12-04T09:47:59.1136842Z [ OK ] BasicTest.TestForBlobStridesResizeCPU (2 ms) 2025-12-04T09:47:59.1158048Z [----------] 6 tests from BasicTest (3389 ms total) 2025-12-04T09:47:59.1158309Z 2025-12-04T09:47:59.1169957Z [----------] Global test environment tear-down 2025-12-04T09:47:59.1197933Z [==========] 6 tests from 1 test suite ran. (3415 ms total) 2025-12-04T09:47:59.1209962Z [ PASSED ] 6 tests. 2025-12-04T09:48:01.0523452Z ==32635== 2025-12-04T09:48:01.0526526Z ==32635== HEAP SUMMARY: 2025-12-04T09:48:01.0526873Z ==32635== in use at exit: 432,243 bytes in 6,419 blocks 2025-12-04T09:48:01.0527387Z ==32635== total heap usage: 652,091 allocs, 645,672 frees, 198,313,781 bytes allocated 2025-12-04T09:48:01.0527837Z ==32635== 2025-12-04T09:48:01.0965955Z ==32635== LEAK SUMMARY: 2025-12-04T09:48:01.0966286Z ==32635== definitely lost: 0 bytes in 0 blocks 2025-12-04T09:48:01.0966749Z ==32635== indirectly lost: 0 bytes in 0 blocks 2025-12-04T09:48:01.0967122Z ==32635== possibly lost: 69,920 bytes in 2 blocks 2025-12-04T09:48:01.0967595Z ==32635== still reachable: 362,323 bytes in 6,417 blocks 2025-12-04T09:48:01.0968020Z ==32635== suppressed: 0 bytes in 0 blocks 2025-12-04T09:48:01.0968507Z ==32635== Rerun with --leak-check=full to see details of leaked memory 2025-12-04T09:48:01.0968962Z ==32635== 2025-12-04T09:48:01.0969284Z ==32635== For lists of detected and suppressed errors, rerun with: -s 2025-12-04T09:48:01.0969870Z ==32635== ERROR SUMMARY: 0 errors from 0 contexts (suppressed: 0 from 0) 2025-12-04T09:48:01.1349202Z + [[ -x build/bin/tensor_interop_test ]] 2025-12-04T09:48:01.1351231Z + [[ -n '' ]] 2025-12-04T09:48:01.1351721Z + assert_git_not_dirty 2025-12-04T09:48:01.1352012Z + [[ linux-jammy-py3.14-clang12 != *rocm* ]] 2025-12-04T09:48:01.1352371Z + [[ linux-jammy-py3.14-clang12 != *xla* ]] 2025-12-04T09:48:01.1358294Z ++ git status --porcelain 2025-12-04T09:48:01.1359073Z ++ grep -v '?? third_party' 2025-12-04T09:48:01.4257244Z ++ true 2025-12-04T09:48:01.4257578Z + git_status= 2025-12-04T09:48:01.4257905Z + [[ -n '' ]] 2025-12-04T09:48:01.4258167Z + test_libtorch 1 2025-12-04T09:48:01.4258402Z + local SHARD=1 2025-12-04T09:48:01.4258649Z + [[ default != \s\l\o\w ]] 2025-12-04T09:48:01.4258967Z + echo 'Testing libtorch' 2025-12-04T09:48:01.4259217Z Testing libtorch 2025-12-04T09:48:01.4260014Z + ln -sf /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libbackend_with_compiler.so /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/bin 2025-12-04T09:48:01.4271751Z + ln -sf /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libjitbackend_test.so /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/bin 2025-12-04T09:48:01.4283148Z + ln -sf /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libcaffe2_nvrtc.so /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/bin 2025-12-04T09:48:01.4294360Z + ln -sf /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libc10.so /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/bin 2025-12-04T09:48:01.4305900Z + ln -sf /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libshm /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libshm.so /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libshm_windows /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/bin 2025-12-04T09:48:01.4317651Z + ln -sf /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libtorch.so /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libtorch_cpu.so /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libtorch_global_deps.so /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libtorch_python.so /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libtorchbind_test.so /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/bin 2025-12-04T09:48:01.4329094Z + ln -sf '/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libnvfuser*' /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/bin 2025-12-04T09:48:01.4339297Z + export CPP_TESTS_DIR=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/bin 2025-12-04T09:48:01.4339940Z + CPP_TESTS_DIR=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/bin 2025-12-04T09:48:01.4340408Z + [[ -z 1 ]] 2025-12-04T09:48:01.4340617Z + [[ 1 == \1 ]] 2025-12-04T09:48:01.4340842Z + test_libtorch_api 2025-12-04T09:48:01.4341172Z + MNIST_DIR=/var/lib/jenkins/workspace/test/cpp/api/mnist 2025-12-04T09:48:01.4341740Z + python tools/download_mnist.py --quiet -d /var/lib/jenkins/workspace/test/cpp/api/mnist 2025-12-04T09:48:01.4935861Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/train-images-idx3-ubyte.gz ... 2025-12-04T09:48:01.8365991Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/train-labels-idx1-ubyte.gz ... 2025-12-04T09:48:01.8858858Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/t10k-images-idx3-ubyte.gz ... 2025-12-04T09:48:01.9668941Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/t10k-labels-idx1-ubyte.gz ... 2025-12-04T09:48:02.0111073Z + [[ linux-jammy-py3.14-clang12 == *asan* ]] 2025-12-04T09:48:02.0111499Z + [[ linux-jammy-py3.14-clang12 == *slow-gradcheck* ]] 2025-12-04T09:48:02.0111862Z + OMP_NUM_THREADS=2 2025-12-04T09:48:02.0112267Z + TORCH_CPP_TEST_MNIST_PATH=/var/lib/jenkins/workspace/test/cpp/api/mnist 2025-12-04T09:48:02.0112866Z + python test/run_test.py --cpp --verbose -i cpp/test_api -k 'not IMethodTest' 2025-12-04T09:48:05.6192426Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T09:48:05.6288660Z Found test times from artifacts 2025-12-04T09:48:05.6740743Z Found test times from artifacts 2025-12-04T09:48:05.6754666Z Running all tests 2025-12-04T09:48:05.6758139Z Running parallel tests on 3 processes 2025-12-04T09:48:05.6758579Z Name: tests to run (est. time: 0.0min) 2025-12-04T09:48:05.6759032Z Serial tests (0): 2025-12-04T09:48:05.6759267Z Parallel tests (1): 2025-12-04T09:48:05.6759518Z cpp/test_api 1/1 2025-12-04T09:48:05.6759775Z Name: excluded (est. time: 0.0min) 2025-12-04T09:48:05.6760070Z Serial tests (0): 2025-12-04T09:48:05.6760297Z Parallel tests (0): 2025-12-04T09:48:05.6763539Z Running cpp/test_api 1/1 ... [2025-12-04 09:48:05.676210][6520.358950845] 2025-12-04T09:48:05.6763975Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:48:05.6767237Z Executing ['pytest', '/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/bin/test_api', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-k', 'not IMethodTest', '-x', '--reruns=2'] ... [2025-12-04 09:48:05.676545] 2025-12-04T09:48:12.8530160Z 2025-12-04T09:48:12.8531408Z cpp/test_api 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.test_api_1.1_73ca18d4c8b97f93_.log 2025-12-04T09:48:12.8532368Z 2025-12-04T09:48:12.8532780Z Finished cpp/test_api 1/1 ... [2025-12-04 09:48:12.852911][6527.535650929], took 0.12min 2025-12-04T09:48:13.5405463Z Uploading artifacts took 0.68 seconds 2025-12-04T09:48:15.7112021Z Running cpp/test_api 1/1 ... [2025-12-04 09:48:15.710866][6530.393605481] 2025-12-04T09:48:15.7112489Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:48:15.7114133Z Executing ['pytest', '/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/bin/test_api', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-k', 'not IMethodTest', '-x', '--reruns=2'] ... [2025-12-04 09:48:15.711218] 2025-12-04T09:50:10.2580157Z 2025-12-04T09:50:10.2580997Z cpp/test_api 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.test_api_1.1_7ff88f756c0b957d_.log 2025-12-04T09:50:10.2591239Z 2025-12-04T09:50:10.2591546Z Finished cpp/test_api 1/1 ... [2025-12-04 09:50:10.259008][6644.941745621], took 1.91min 2025-12-04T09:50:11.0057224Z Running test batch 'tests to run' cost 125.33 seconds 2025-12-04T09:50:11.7627311Z + [[ linux-jammy-py3.14-clang12 != *android* ]] 2025-12-04T09:50:11.7627742Z + [[ linux-jammy-py3.14-clang12 != *cuda* ]] 2025-12-04T09:50:11.7628106Z + [[ linux-jammy-py3.14-clang12 != *asan* ]] 2025-12-04T09:50:11.7628459Z + [[ linux-jammy-py3.14-clang12 != *s390x* ]] 2025-12-04T09:50:11.7628804Z + export CPP_TESTS_DIR=build/bin 2025-12-04T09:50:11.7629093Z + CPP_TESTS_DIR=build/bin 2025-12-04T09:50:11.7629503Z + python test/run_test.py --cpp --verbose -i cpp/static_runtime_test 2025-12-04T09:50:15.4678986Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T09:50:15.4775034Z Found test times from artifacts 2025-12-04T09:50:15.5571941Z Found test times from artifacts 2025-12-04T09:50:15.5586366Z Running all tests 2025-12-04T09:50:15.5589486Z Running parallel tests on 3 processes 2025-12-04T09:50:15.5589842Z Name: tests to run (est. time: 0.0min) 2025-12-04T09:50:15.5590135Z Serial tests (0): 2025-12-04T09:50:15.5590389Z Parallel tests (1): 2025-12-04T09:50:15.5590718Z cpp/static_runtime_test 1/1 2025-12-04T09:50:15.5591004Z Name: excluded (est. time: 0.0min) 2025-12-04T09:50:15.5591293Z Serial tests (0): 2025-12-04T09:50:15.5591538Z Parallel tests (0): 2025-12-04T09:50:15.5591951Z Running cpp/static_runtime_test 1/1 ... [2025-12-04 09:50:15.559027][6650.241768607] 2025-12-04T09:50:15.5592427Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:50:15.5595795Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/static_runtime_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:50:15.559364] 2025-12-04T09:50:22.0832422Z 2025-12-04T09:50:22.0833585Z 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_1f7bec72d220cb18_.log 2025-12-04T09:50:22.0834299Z 2025-12-04T09:50:22.0834623Z Finished cpp/static_runtime_test 1/1 ... [2025-12-04 09:50:22.083174][6656.765911977], took 0.11min 2025-12-04T09:50:22.6305947Z Uploading artifacts took 0.54 seconds 2025-12-04T09:50:24.8500486Z Running cpp/static_runtime_test 1/1 ... [2025-12-04 09:50:24.849696][6659.532434853] 2025-12-04T09:50:24.8501067Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:50:24.8502583Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/static_runtime_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 09:50:24.850053] 2025-12-04T09:56:20.7957653Z 2025-12-04T09:56:20.7958570Z 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_41eae9401b008354_.log 2025-12-04T09:56:20.7961894Z 2025-12-04T09:56:20.7962799Z Finished cpp/static_runtime_test 1/1 ... [2025-12-04 09:56:20.796094][7015.478832441], took 5.93min 2025-12-04T09:56:21.5430893Z Running test batch 'tests to run' cost 365.98 seconds 2025-12-04T09:56:22.3101783Z + [[ -z 1 ]] 2025-12-04T09:56:22.3102052Z + [[ 1 == \2 ]] 2025-12-04T09:56:22.3102290Z + assert_git_not_dirty 2025-12-04T09:56:22.3102601Z + [[ linux-jammy-py3.14-clang12 != *rocm* ]] 2025-12-04T09:56:22.3102951Z + [[ linux-jammy-py3.14-clang12 != *xla* ]] 2025-12-04T09:56:22.3107847Z ++ git status --porcelain 2025-12-04T09:56:22.3108670Z ++ grep -v '?? third_party' 2025-12-04T09:56:22.6011211Z ++ true 2025-12-04T09:56:22.6011807Z + git_status= 2025-12-04T09:56:22.6012051Z + [[ -n '' ]] 2025-12-04T09:56:22.6012503Z + [[ linux-jammy-py3.14-clang12 == *xpu* ]] 2025-12-04T09:56:22.6057247Z + sccache_epilogue 2025-12-04T09:56:22.6057578Z + echo '::group::Sccache Compilation Log' 2025-12-04T09:56:22.6058225Z ##[group]Sccache Compilation Log 2025-12-04T09:56:22.6058589Z + echo '=================== sccache compilation log ===================' 2025-12-04T09:56:22.6059011Z =================== sccache compilation log =================== 2025-12-04T09:56:22.6059625Z + python /var/lib/jenkins/workspace/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log 2025-12-04T09:56:22.6200396Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ===========' 2025-12-04T09:56:22.6201103Z =========== If your build fails, please take a look at the log above for possible reasons =========== 2025-12-04T09:56:22.6201596Z + sccache --show-stats 2025-12-04T09:56:22.6236369Z Compile requests 954 2025-12-04T09:56:22.6236874Z Compile requests executed 83 2025-12-04T09:56:22.6237200Z Cache hits 45 2025-12-04T09:56:22.6237837Z Cache hits (C/C++) 45 2025-12-04T09:56:22.6238143Z Cache misses 37 2025-12-04T09:56:22.6238468Z Cache misses (C/C++) 37 2025-12-04T09:56:22.6238797Z Cache hits rate 54.88 % 2025-12-04T09:56:22.6239120Z Cache hits rate (C/C++) 54.88 % 2025-12-04T09:56:22.6239510Z Cache timeouts 0 2025-12-04T09:56:22.6239829Z Cache read errors 0 2025-12-04T09:56:22.6240137Z Forced recaches 0 2025-12-04T09:56:22.6240479Z Cache write errors 0 2025-12-04T09:56:22.6240795Z Cache errors 0 2025-12-04T09:56:22.6241104Z Compilations 37 2025-12-04T09:56:22.6241415Z Compilation failures 1 2025-12-04T09:56:22.6241757Z Non-cacheable compilations 0 2025-12-04T09:56:22.6242086Z Non-cacheable calls 11 2025-12-04T09:56:22.6242405Z Non-compilation calls 860 2025-12-04T09:56:22.6242752Z Unsupported compiler calls 0 2025-12-04T09:56:22.6243094Z Average cache write 0.037 s 2025-12-04T09:56:22.6243415Z Average compiler 12.880 s 2025-12-04T09:56:22.6243939Z Average cache read hit 0.079 s 2025-12-04T09:56:22.6244289Z Failed distributed compilations 0 2025-12-04T09:56:22.6244514Z 2025-12-04T09:56:22.6244629Z Non-cacheable reasons: 2025-12-04T09:56:22.6244881Z -E 11 2025-12-04T09:56:22.6245103Z 2025-12-04T09:56:22.6245415Z Cache location s3, name: ossci-compiler-cache-circleci-v2, prefix: / 2025-12-04T09:56:22.6245885Z Version (client) 0.10.0 2025-12-04T09:56:22.6246183Z + sccache --stop-server 2025-12-04T09:56:22.6258288Z Stopping sccache server... 2025-12-04T09:56:22.6260817Z Compile requests 954 2025-12-04T09:56:22.6261322Z Compile requests executed 83 2025-12-04T09:56:22.6261686Z Cache hits 45 2025-12-04T09:56:22.6262187Z Cache hits (C/C++) 45 2025-12-04T09:56:22.6262618Z Cache misses 37 2025-12-04T09:56:22.6262922Z Cache misses (C/C++) 37 2025-12-04T09:56:22.6263263Z Cache hits rate 54.88 % 2025-12-04T09:56:22.6263592Z Cache hits rate (C/C++) 54.88 % 2025-12-04T09:56:22.6263908Z Cache timeouts 0 2025-12-04T09:56:22.6264384Z Cache read errors 0 2025-12-04T09:56:22.6264745Z Forced recaches 0 2025-12-04T09:56:22.6265193Z Cache write errors 0 2025-12-04T09:56:22.6265523Z Cache errors 0 2025-12-04T09:56:22.6265833Z Compilations 37 2025-12-04T09:56:22.6266157Z Compilation failures 1 2025-12-04T09:56:22.6266566Z Non-cacheable compilations 0 2025-12-04T09:56:22.6266894Z Non-cacheable calls 11 2025-12-04T09:56:22.6267222Z Non-compilation calls 860 2025-12-04T09:56:22.6267547Z Unsupported compiler calls 0 2025-12-04T09:56:22.6267882Z Average cache write 0.037 s 2025-12-04T09:56:22.6268212Z Average compiler 12.880 s 2025-12-04T09:56:22.6268526Z Average cache read hit 0.079 s 2025-12-04T09:56:22.6268866Z Failed distributed compilations 0 2025-12-04T09:56:22.6269103Z 2025-12-04T09:56:22.6269199Z Non-cacheable reasons: 2025-12-04T09:56:22.6269463Z -E 11 2025-12-04T09:56:22.6269666Z 2025-12-04T09:56:22.6269897Z Cache location s3, name: ossci-compiler-cache-circleci-v2, prefix: / 2025-12-04T09:56:22.6270361Z Version (client) 0.10.0 2025-12-04T09:56:22.6270682Z + echo ::endgroup:: 2025-12-04T09:56:22.6271171Z ##[endgroup] 2025-12-04T09:56:22.6271378Z + cleanup_workspace 2025-12-04T09:56:22.6271877Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.' 2025-12-04T09:56:22.6277081Z sudo may print the following warning message that can be ignored. The chown command will still run. 2025-12-04T09:56:22.6277844Z + echo ' sudo: setrlimit(RLIMIT_STACK): Operation not permitted' 2025-12-04T09:56:22.6278309Z sudo: setrlimit(RLIMIT_STACK): Operation not permitted 2025-12-04T09:56:22.6278858Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42' 2025-12-04T09:56:22.6279466Z For more details refer to https://github.com/sudo-project/sudo/issues/42 2025-12-04T09:56:22.6279933Z + sudo chown -R 1000 /var/lib/jenkins/workspace 2025-12-04T09:56:25.7715406Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main 2025-12-04T09:56:25.7715895Z with: 2025-12-04T09:56:25.7716143Z benchmark-results-dir: test/test-reports 2025-12-04T09:56:25.7716483Z dry-run: false 2025-12-04T09:56:25.7716705Z schema-version: v3 2025-12-04T09:56:25.7717164Z github-token: *** 2025-12-04T09:56:25.7717496Z env: 2025-12-04T09:56:25.7717698Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:56:25.7717981Z HAS_NVIDIA_GPU: false 2025-12-04T09:56:25.7718440Z DOCKER_CONTAINER_ID: a6711748982cea0ed79a4ec67a77a511dc6690f3267afe70b4118ea07e9b0342 2025-12-04T09:56:25.7718927Z ##[endgroup] 2025-12-04T09:56:25.7745783Z ##[group]Run set -eux 2025-12-04T09:56:25.7746071Z set -eux 2025-12-04T09:56:25.7746298Z  2025-12-04T09:56:25.7746502Z if [[ -n "" ]]; then 2025-12-04T09:56:25.7746774Z  source "" 2025-12-04T09:56:25.7747012Z fi 2025-12-04T09:56:25.7747402Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-12-04T09:56:25.7747820Z  2025-12-04T09:56:25.7748032Z DEVICE_NAME="" 2025-12-04T09:56:25.7748294Z DEVICE_TYPE="" 2025-12-04T09:56:25.7748550Z  2025-12-04T09:56:25.7748768Z if command -v nvidia-smi; then 2025-12-04T09:56:25.7749223Z  # NB: I'm using PyTorch here to get the device name, however, it needs to 2025-12-04T09:56:25.7749812Z  # install the correct version of PyTorch manually for now. Any PyTorch 2025-12-04T09:56:25.7750438Z  # version is fine, I just use 2.7.1 to satify PYPIDEP linter 2025-12-04T09:56:25.7750873Z  python3 -mpip install torch==2.7.1 2025-12-04T09:56:25.7751223Z elif command -v rocminfo; then 2025-12-04T09:56:25.7751669Z  # NB: Installing torch on ROCm runner with pip here causes CI to fail 2025-12-04T09:56:25.7752226Z  # with a memoryview is too large error only on MI300 runners. Is pip 2025-12-04T09:56:25.7752801Z  # version on ROCm runner there too old? As a workaround, let's use the 2025-12-04T09:56:25.7753304Z  # GPU device name coming from rocminfo instead 2025-12-04T09:56:25.7753658Z  DEVICE_NAME=rocm 2025-12-04T09:56:25.7754200Z  DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs) 2025-12-04T09:56:25.7754715Z fi 2025-12-04T09:56:25.7754932Z  2025-12-04T09:56:25.7755196Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV 2025-12-04T09:56:25.7755612Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-12-04T09:56:25.7938069Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:56:25.7938446Z env: 2025-12-04T09:56:25.7938664Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:56:25.7938938Z HAS_NVIDIA_GPU: false 2025-12-04T09:56:25.7939373Z DOCKER_CONTAINER_ID: a6711748982cea0ed79a4ec67a77a511dc6690f3267afe70b4118ea07e9b0342 2025-12-04T09:56:25.7939891Z ##[endgroup] 2025-12-04T09:56:25.7970875Z + [[ -n '' ]] 2025-12-04T09:56:25.7971247Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-12-04T09:56:26.5611454Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T09:56:27.7099734Z Collecting boto3==1.35.33 2025-12-04T09:56:27.7259130Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-12-04T09:56:28.0589882Z Collecting psutil==7.0.0 2025-12-04T09:56:28.0625013Z Downloading psutil-7.0.0-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (277 kB) 2025-12-04T09:56:28.0910831Z Collecting pynvml==12.0.0 2025-12-04T09:56:28.0942516Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-12-04T09:56:29.2928662Z Collecting botocore<1.36.0,>=1.35.33 2025-12-04T09:56:29.2963918Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-12-04T09:56:29.4809438Z Collecting s3transfer<0.11.0,>=0.10.0 2025-12-04T09:56:29.4844621Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-12-04T09:56:29.4894932Z 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) 2025-12-04T09:56:29.5357819Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-12-04T09:56:29.5392581Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-12-04T09:56:29.5485537Z Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (2.8.1) 2025-12-04T09:56:29.5496640Z 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) 2025-12-04T09:56:29.7077175Z 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) 2025-12-04T09:56:29.8505217Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3 2025-12-04T09:56:30.3637702Z Attempting uninstall: nvidia-ml-py 2025-12-04T09:56:30.3639294Z Found existing installation: nvidia-ml-py 11.525.84 2025-12-04T09:56:30.3660065Z Uninstalling nvidia-ml-py-11.525.84: 2025-12-04T09:56:30.4011327Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-12-04T09:56:30.4643928Z Attempting uninstall: psutil 2025-12-04T09:56:30.4644646Z Found existing installation: psutil 5.9.8 2025-12-04T09:56:30.4720134Z Uninstalling psutil-5.9.8: 2025-12-04T09:56:30.4726524Z Successfully uninstalled psutil-5.9.8 2025-12-04T09:56:30.6443352Z Successfully installed boto3-1.35.33 botocore-1.35.99 nvidia-ml-py-12.575.51 psutil-7.0.0 pynvml-12.0.0 s3transfer-0.10.4 2025-12-04T09:56:30.7622776Z + DEVICE_NAME= 2025-12-04T09:56:30.7623037Z + DEVICE_TYPE= 2025-12-04T09:56:30.7623277Z + command -v nvidia-smi 2025-12-04T09:56:30.7623543Z + command -v rocminfo 2025-12-04T09:56:30.7623796Z + echo DEVICE_NAME= 2025-12-04T09:56:30.7624603Z + echo DEVICE_TYPE= 2025-12-04T09:56:30.7656046Z ##[group]Run set -eux 2025-12-04T09:56:30.7656329Z set -eux 2025-12-04T09:56:30.7656555Z  2025-12-04T09:56:30.7656789Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-12-04T09:56:30.7657151Z  echo "Missing github-token input" 2025-12-04T09:56:30.7657574Z  exit 1 2025-12-04T09:56:30.7657789Z fi 2025-12-04T09:56:30.7665417Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:56:30.7665817Z env: 2025-12-04T09:56:30.7666044Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:56:30.7666307Z HAS_NVIDIA_GPU: false 2025-12-04T09:56:30.7666755Z DOCKER_CONTAINER_ID: a6711748982cea0ed79a4ec67a77a511dc6690f3267afe70b4118ea07e9b0342 2025-12-04T09:56:30.7667259Z DEVICE_NAME: 2025-12-04T09:56:30.7667483Z DEVICE_TYPE: 2025-12-04T09:56:30.7667937Z GITHUB_TOKEN: *** 2025-12-04T09:56:30.7668173Z ##[endgroup] 2025-12-04T09:56:30.7693392Z + [[ -z *** ]] 2025-12-04T09:56:30.7751296Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-12-04T09:56:30.7751737Z with: 2025-12-04T09:56:30.7752096Z github-token: *** 2025-12-04T09:56:30.7752315Z env: 2025-12-04T09:56:30.7752526Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:56:30.7752799Z HAS_NVIDIA_GPU: false 2025-12-04T09:56:30.7753246Z DOCKER_CONTAINER_ID: a6711748982cea0ed79a4ec67a77a511dc6690f3267afe70b4118ea07e9b0342 2025-12-04T09:56:30.7753745Z DEVICE_NAME: 2025-12-04T09:56:30.7753972Z DEVICE_TYPE: 2025-12-04T09:56:30.7754186Z ##[endgroup] 2025-12-04T09:56:30.7778631Z ##[group]Run set -eux 2025-12-04T09:56:30.7778886Z set -eux 2025-12-04T09:56:30.7779111Z  2025-12-04T09:56:30.7779597Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-12-04T09:56:30.7785374Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:56:30.7785756Z env: 2025-12-04T09:56:30.7785971Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:56:30.7786243Z HAS_NVIDIA_GPU: false 2025-12-04T09:56:30.7786842Z DOCKER_CONTAINER_ID: a6711748982cea0ed79a4ec67a77a511dc6690f3267afe70b4118ea07e9b0342 2025-12-04T09:56:30.7787349Z DEVICE_NAME: 2025-12-04T09:56:30.7787574Z DEVICE_TYPE: 2025-12-04T09:56:30.7787928Z GITHUB_TOKEN: *** 2025-12-04T09:56:30.7788165Z ##[endgroup] 2025-12-04T09:56:30.7812993Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 19921726337 i-07de2232a1da967c6 2025-12-04T09:56:33.9100792Z setting job-id=57112645032 2025-12-04T09:56:33.9101303Z setting job-name=linux-jammy-py3.14-clang12 / test (default, 1, 5, linux.4xlarge) 2025-12-04T09:56:33.9224853Z ##[group]Run set -eux 2025-12-04T09:56:33.9225139Z set -eux 2025-12-04T09:56:33.9225354Z  2025-12-04T09:56:33.9225573Z if [[ -n "" ]]; then 2025-12-04T09:56:33.9225849Z  source "" 2025-12-04T09:56:33.9226075Z fi 2025-12-04T09:56:33.9226288Z  2025-12-04T09:56:33.9226701Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-12-04T09:56:33.9227229Z  --schema-version "${SCHEMA_VERSION}" \ 2025-12-04T09:56:33.9227566Z  --repo "${REPO}" \ 2025-12-04T09:56:33.9227882Z  --head-branch "${HEAD_BRANCH}" \ 2025-12-04T09:56:33.9228216Z  --head-sha "${HEAD_SHA}" \ 2025-12-04T09:56:33.9228542Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-12-04T09:56:33.9229007Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-12-04T09:56:33.9229334Z  --job-id "${JOB_ID}" \ 2025-12-04T09:56:33.9229624Z  --job-name "${JOB_NAME}" 2025-12-04T09:56:33.9235449Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:56:33.9235833Z env: 2025-12-04T09:56:33.9236054Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:56:33.9236314Z HAS_NVIDIA_GPU: false 2025-12-04T09:56:33.9236762Z DOCKER_CONTAINER_ID: a6711748982cea0ed79a4ec67a77a511dc6690f3267afe70b4118ea07e9b0342 2025-12-04T09:56:33.9237276Z DEVICE_NAME: 2025-12-04T09:56:33.9237615Z DEVICE_TYPE: 2025-12-04T09:56:33.9237848Z SCHEMA_VERSION: v3 2025-12-04T09:56:33.9238110Z REPO: pytorch/pytorch 2025-12-04T09:56:33.9238375Z HEAD_BRANCH: refs/heads/main 2025-12-04T09:56:33.9238799Z HEAD_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:56:33.9239167Z WORKFLOW_RUN_ID: 19921726337 2025-12-04T09:56:33.9239428Z RUN_ATTEMPT: 1 2025-12-04T09:56:33.9239660Z JOB_ID: 57112645032 2025-12-04T09:56:33.9240052Z JOB_NAME: linux-jammy-py3.14-clang12 / test (default, 1, 5, linux.4xlarge) 2025-12-04T09:56:33.9240484Z ##[endgroup] 2025-12-04T09:56:33.9268328Z + [[ -n '' ]] 2025-12-04T09:56:33.9270686Z + 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 ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 --workflow-id 19921726337 --run-attempt 1 --job-id 57112645032 --job-name 'linux-jammy-py3.14-clang12 / test (default, 1, 5, linux.4xlarge)' 2025-12-04T09:56:33.9597113Z ##[group]Run set -eux 2025-12-04T09:56:33.9597484Z set -eux 2025-12-04T09:56:33.9597733Z  2025-12-04T09:56:33.9597935Z if [[ -n "" ]]; then 2025-12-04T09:56:33.9598212Z  source "" 2025-12-04T09:56:33.9598447Z fi 2025-12-04T09:56:33.9598644Z  2025-12-04T09:56:33.9599038Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-12-04T09:56:33.9604867Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:56:33.9605249Z env: 2025-12-04T09:56:33.9605453Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:56:33.9605720Z HAS_NVIDIA_GPU: false 2025-12-04T09:56:33.9606168Z DOCKER_CONTAINER_ID: a6711748982cea0ed79a4ec67a77a511dc6690f3267afe70b4118ea07e9b0342 2025-12-04T09:56:33.9606657Z DEVICE_NAME: 2025-12-04T09:56:33.9606881Z DEVICE_TYPE: 2025-12-04T09:56:33.9607256Z ##[endgroup] 2025-12-04T09:56:33.9630187Z + [[ -n '' ]] 2025-12-04T09:56:33.9631347Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-12-04T09:56:34.0037480Z INFO:root:Fail to import torch to get the device name 2025-12-04T09:56:34.0142547Z ##[group]Run set -eux 2025-12-04T09:56:34.0142802Z set -eux 2025-12-04T09:56:34.0143030Z  2025-12-04T09:56:34.0143292Z # TODO (huydhn): Implement this part 2025-12-04T09:56:34.0143669Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:56:34.0149460Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:56:34.0149843Z env: 2025-12-04T09:56:34.0150053Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:56:34.0150324Z HAS_NVIDIA_GPU: false 2025-12-04T09:56:34.0150767Z DOCKER_CONTAINER_ID: a6711748982cea0ed79a4ec67a77a511dc6690f3267afe70b4118ea07e9b0342 2025-12-04T09:56:34.0151284Z DEVICE_NAME: 2025-12-04T09:56:34.0151499Z DEVICE_TYPE: 2025-12-04T09:56:34.0151718Z ##[endgroup] 2025-12-04T09:56:34.0174177Z + echo 'dependencies={}' 2025-12-04T09:56:34.0204154Z ##[group]Run set -eux 2025-12-04T09:56:34.0204444Z set -eux 2025-12-04T09:56:34.0204663Z  2025-12-04T09:56:34.0204882Z if [[ -n "" ]]; then 2025-12-04T09:56:34.0205153Z  source "" 2025-12-04T09:56:34.0205378Z fi 2025-12-04T09:56:34.0205680Z  2025-12-04T09:56:34.0205944Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-12-04T09:56:34.0206393Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-12-04T09:56:34.0206879Z  # We don't want the job to fail if the directory doesn't exist 2025-12-04T09:56:34.0207279Z  exit 0 2025-12-04T09:56:34.0207502Z fi 2025-12-04T09:56:34.0207742Z  2025-12-04T09:56:34.0207981Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-12-04T09:56:34.0208467Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-12-04T09:56:34.0209029Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-12-04T09:56:34.0209448Z  --metadata "${BENCHMARK_METADATA}" \ 2025-12-04T09:56:34.0209868Z  --runners "${RUNNER_INFO}" \ 2025-12-04T09:56:34.0210216Z  --dependencies "${DEPENDENCIES}" \ 2025-12-04T09:56:34.0210568Z  --dry-run 2025-12-04T09:56:34.0210820Z else 2025-12-04T09:56:34.0211218Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-12-04T09:56:34.0211763Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-12-04T09:56:34.0212198Z  --metadata "${BENCHMARK_METADATA}" \ 2025-12-04T09:56:34.0212557Z  --runners "${RUNNER_INFO}" \ 2025-12-04T09:56:34.0212912Z  --dependencies "${DEPENDENCIES}" 2025-12-04T09:56:34.0213221Z fi 2025-12-04T09:56:34.0218474Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:56:34.0218856Z env: 2025-12-04T09:56:34.0219076Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:56:34.0219335Z HAS_NVIDIA_GPU: false 2025-12-04T09:56:34.0219789Z DOCKER_CONTAINER_ID: a6711748982cea0ed79a4ec67a77a511dc6690f3267afe70b4118ea07e9b0342 2025-12-04T09:56:34.0220294Z DEVICE_NAME: 2025-12-04T09:56:34.0220519Z DEVICE_TYPE: 2025-12-04T09:56:34.0220757Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-12-04T09:56:34.0221077Z DRY_RUN: false 2025-12-04T09:56:34.0222375Z BENCHMARK_METADATA: {"timestamp": 1764842193, "schema_version": "v3", "name": "linux-jammy-py3.14-clang12 / test (default, 1, 5, linux.4xlarge)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32", "workflow_id": 19921726337, "run_attempt": 1, "job_id": 57112645032} 2025-12-04T09:56:34.0224189Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 16, "avail_mem_in_gb": 30, "extra_info": {"hostname": "ip-10-0-68-46.ec2.internal"}, "name": "", "type": ""}] 2025-12-04T09:56:34.0224822Z DEPENDENCIES: {} 2025-12-04T09:56:34.0225058Z ##[endgroup] 2025-12-04T09:56:34.0248110Z + [[ -n '' ]] 2025-12-04T09:56:34.0248370Z + [[ ! -d test/test-reports ]] 2025-12-04T09:56:34.0248660Z + [[ false == \t\r\u\e ]] 2025-12-04T09:56:34.0251423Z + 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": 1764842193, "schema_version": "v3", "name": "linux-jammy-py3.14-clang12 / test (default, 1, 5, linux.4xlarge)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32", "workflow_id": 19921726337, "run_attempt": 1, "job_id": 57112645032}' --runners '[{"cpu_info": "x86_64", "cpu_count": 16, "avail_mem_in_gb": 30, "extra_info": {"hostname": "ip-10-0-68-46.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}' 2025-12-04T09:56:34.2367186Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'lazy/test_ts_opinfo'}], 'excluded': []} from test/test-reports/td_exclusions-0c4b7125f12b10fc2450.json is not a benchmark record, skipping 2025-12-04T09:56:34.2368878Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T09:56:34.2447815Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'dynamo/test_dynamic_shapes'}, {'test_file': 'dynamo/test_repros'}, {'test_file': 'dynamo/test_misc'}, {'test_file': 'inductor/test_cpu_select_algorithm'}, {'test_file': 'inductor/test_aot_inductor_arrayref'}, {'test_file': 'inductor/test_cpu_cpp_wrapper'}, {'test_file': 'test_custom_ops'}, {'test_file': 'inductor/test_extension_backend'}, {'test_file': 'dynamo/test_functions'}, {'test_file': 'dynamo/test_dicts'}, {'test_file': 'dynamo/test_aot_compile'}, {'test_file': 'dynamo/test_sets'}, {'test_file': 'dynamo/test_fake_distributed'}, {'test_file': 'dynamo/test_exceptions'}, {'test_file': 'dynamo/test_decorators'}, {'test_file': 'inductor/test_collective_autotuning'}, {'test_file': 'test_ao_sparsity'}, {'test_file': 'test_autograd'}, {'test_file': 'test_torch'}, {'test_file': 'higher_order_ops/test_local_map'}, {'test_file': 'lazy/test_functionalization'}, {'test_file': 'test_utils'}, {'test_file': 'test_ci_sanity_check_fail'}, {'test_file': 'higher_order_ops/test_print'}, {'test_file': 'torch_np/numpy_tests/core/test_einsum'}, {'test_file': 'test_fx'}, {'test_file': 'test_numpy_interop'}, {'test_file': 'test_type_hints'}, {'test_file': 'test_linalg'}, {'test_file': 'test_jit_fuser_te'}, {'test_file': 'test_python_dispatch'}, {'test_file': 'test_sympy_utils'}, {'test_file': 'nn/test_parametrization'}, {'test_file': 'test_public_bindings'}, {'test_file': 'test_dynamic_shapes'}, {'test_file': 'complex_tensor/test_complex_tensor'}, {'test_file': 'test_tensorboard'}, {'test_file': 'test_tensor_creation_ops'}, {'test_file': 'test_jit'}, {'test_file': 'nn/test_load_state_dict'}, {'test_file': 'test_sparse_csr'}, {'test_file': 'test_nn'}, {'test_file': 'test_multiprocessing_spawn'}, {'test_file': 'nn/test_pooling'}, {'test_file': 'test_overrides'}, {'test_file': 'test_reductions'}, {'test_file': 'test_spectral_ops'}, {'test_file': 'inductor/test_max_autotune'}, {'test_file': 'doctests'}, {'test_file': 'inductor/test_aot_inductor'}, {'test_file': 'inductor/test_torchinductor'}, {'test_file': 'inductor/test_select_algorithm'}, {'test_file': 'inductor/test_torchinductor_dynamic_shapes'}, {'test_file': 'inductor/test_torchinductor_codegen_dynamic_shapes'}, {'test_file': 'inductor/test_kernel_benchmark'}, {'test_file': 'inductor/test_torchinductor_opinfo'}, {'test_file': 'inductor/test_pattern_matcher'}, {'test_file': 'inductor/test_group_batch_fusion'}, {'test_file': 'inductor/test_cpu_repro'}, {'test_file': 'inductor/test_cuda_repro'}, {'test_file': 'inductor/test_smoke'}, {'test_file': 'dynamo/test_after_aot'}, {'test_file': 'inductor/test_snode_runtime'}, {'test_file': 'inductor/test_minifier'}, {'test_file': 'inductor/test_compiled_autograd'}, {'test_file': 'inductor/test_custom_lowering'}, {'test_file': 'inductor/test_cudagraph_trees'}, {'test_file': 'inductor/test_perf'}, {'test_file': 'inductor/test_fused_attention'}, {'test_file': 'dynamo/test_activation_checkpointing'}, {'test_file': 'inductor/test_binary_folding'}, {'test_file': 'inductor/test_mkldnn_pattern_matcher'}, {'test_file': 'dynamo/test_logging'}, {'test_file': 'inductor/test_inductor_freezing'}, {'test_file': 'inductor/test_layout_optim'}, {'test_file': 'dynamo/test_unspec'}, {'test_file': 'dynamo/test_higher_order_ops'}, {'test_file': 'inductor/test_mmdecomp'}, {'test_file': 'dynamo/test_ctx_manager'}, {'test_file': 'dynamo/test_exc'}, {'test_file': 'inductor/test_flex_attention'}, {'test_file': 'inductor/test_cuda_select_algorithm'}, {'test_file': 'inductor/test_cutlass_backend'}, {'test_file': 'inductor/test_triton_cpu_backend'}, {'test_file': 'inductor/test_torchinductor_strided_blocks'}, {'test_file': 'test_content_store'}, {'test_file': 'inductor/test_halide'}, {'test_file': 'inductor/test_compile_subprocess'}, {'test_file': 'inductor/test_flex_decoding'}, {'test_file': 'inductor/test_deterministic'}, {'test_file': 'inductor/test_multi_kernel'}, {'test_file': 'inductor/test_analysis'}, {'test_file': 'inductor/test_pad_mm'}, {'test_file': 'inductor/test_triton_syntax'}, {'test_file': 'inductor/test_triton_extension_backend'}, {'test_file': 'test_sparse_semi_structured'}, {'test_file': 'inductor/test_op_completeness'}, {'test_file': 'inductor/test_subgraph_choice'}, {'test_file': 'inductor/test_b2b_gemm'}, {'test_file': 'inductor/test_triton_heuristics'}, {'test_file': 'inductor/test_cutedsl_grouped_mm'}, {'test_file': 'inductor/test_cpp_wrapper_hipify'}, {'test_file': 'export/test_retraceability'}, {'test_file': 'inductor/test_ck_backend'}, {'test_file': 'inductor/test_inductor_utils'}, {'test_file': 'inductor/test_template_heuristics_registry'}, {'test_file': 'inductor/test_async_compile'}, {'test_file': 'inductor/test_gpu_cpp_wrapper'}, {'test_file': 'export/test_export_training_ir_to_run_decomp'}, {'test_file': 'dynamo/test_deque_reconstruct'}, {'test_file': 'inductor/test_utils'}, {'test_file': 'inductor/test_indexing'}, {'test_file': 'inductor/test_inductor_annotations'}, {'test_file': 'inductor/test_compile_worker'}, {'test_file': 'dynamo/test_einops'}, {'test_file': 'inductor/test_external_callables'}, {'test_file': 'test_testing'}, {'test_file': 'dynamo/test_fx_passes_pre_grad'}, {'test_file': 'inductor/test_fp8'}, {'test_file': 'inductor/test_autoheuristic'}, {'test_file': 'export/test_strict_export_v2'}, {'test_file': 'inductor/test_flex_flash'}, {'test_file': 'dynamo/test_model_output'}, {'test_file': 'inductor/test_segmented_tree'}, {'test_file': 'inductor/test_kernel_optimization'}, {'test_file': 'inductor/test_metrics'}, {'test_file': 'export/test_unflatten_training_ir'}, {'test_file': 'inductor/test_triton_kernels'}, {'test_file': 'inductor/test_fx_fusion'}, {'test_file': 'inductor/test_native_matmul'}, {'test_file': 'inductor/test_xpu_basic'}, {'test_file': 'dynamo/test_inline_and_install'}, {'test_file': 'export/test_functionalized_assertions'}, {'test_file': 'inductor/test_loop_ordering'}, {'test_file': 'inductor/test_selective_lowering'}, {'test_file': 'dynamo/test_base_output'}, {'test_file': 'inductor/test_lookup_table'}, {'test_file': 'inductor/test_cooperative_reductions'}, {'test_file': 'export/test_serialize'}, {'test_file': 'inductor/test_cutedsl_template'}, {'test_file': 'inductor/test_benchmark_fusion'}, {'test_file': 'inductor/test_inductor_scheduler'}, {'test_file': 'inductor/test_move_constructors_to_gpu'}, {'test_file': 'export/test_export_strict'}, {'test_file': 'dynamo/test_modules'}, {'test_file': 'export/test_serdes'}, {'test_file': 'dynamo/test_regional_inductor'}, {'test_file': 'inductor/test_remote_cache'}, {'test_file': 'inductor/test_coordinate_descent_tuner'}, {'test_file': 'inductor/test_inplace_padding'}, {'test_file': 'inductor/test_cudacodecache'}, {'test_file': 'inductor/test_minifier_utils'}, {'test_file': 'inductor/test_debug_trace'}, {'test_file': 'dynamo/test_fx_graph_runnable'}, {'test_file': 'dynamo/test_recompiles'}, {'test_file': 'inductor/test_foreach'}, {'test_file': 'export/test_tree_utils'}, {'test_file': 'dynamo/test_backends'}, {'test_file': 'inductor/test_triton_wrapper'}, {'test_file': 'inductor/test_static_cuda_launcher'}, {'test_file': 'export/test_dynamic_shapes'}, {'test_file': 'dynamo/test_sdpa'}, {'test_file': 'inductor/test_aot_inductor_package'}, {'test_file': 'dynamo/test_utils'}, {'test_file': 'inductor/test_provenance_tracing'}, {'test_file': 'inductor/test_combo_kernels'}, {'test_file': 'inductor/test_codegen_triton'}, {'test_file': 'dynamo/test_frame_init'}, {'test_file': 'inductor/test_device_assert'}, {'test_file': 'dynamo/test_skip_non_tensor'}, {'test_file': 'dynamo/test_skip_guard_eval_unsafe'}, {'test_file': 'inductor/test_decompose_mem_bound_mm'}, {'test_file': 'dynamo/test_interop'}, {'test_file': 'functorch/test_eager_transforms'}, {'test_file': 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'torch_np/numpy_tests/linalg/test_linalg'}, {'test_file': 'torch_np/numpy_tests/core/test_dtype'}, {'test_file': 'lazy/test_debug_util'}, {'test_file': 'test_shape_ops'}, {'test_file': 'nn/test_module_hooks'}, {'test_file': 'torch_np/numpy_tests/lib/test_twodim_base'}, {'test_file': 'profiler/test_memory_profiler'}, {'test_file': 'test_jit_llga_fuser'}, {'test_file': 'test_serialization'}, {'test_file': 'optim/test_optim'}, {'test_file': 'test_indexing'}, {'test_file': 'torch_np/numpy_tests/fft/test_pocketfft'}, {'test_file': 'functorch/test_ops'}, {'test_file': 'torch_np/numpy_tests/lib/test_shape_base_'}, {'test_file': 'test_cpp_extensions_jit'}, {'test_file': 'torch_np/numpy_tests/core/test_getlimits'}, {'test_file': 'torch_np/test_ndarray_methods'}, {'test_file': 'test_view_ops'}, {'test_file': 'test_type_info'}, {'test_file': 'functorch/test_aotdispatch'}, {'test_file': 'torch_np/numpy_tests/core/test_dlpack'}, {'test_file': 'test_scatter_gather_ops'}, {'test_file': 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'torch_np/numpy_tests/lib/test_arraysetops'}, {'test_file': 'test_dlpack'}, {'test_file': 'profiler/test_torch_tidy'}, {'test_file': 'lazy/test_reuse_ir'}, {'test_file': 'test_functional_autograd_benchmark'}, {'test_file': 'torch_np/test_reductions'}, {'test_file': 'torch_np/numpy_tests/core/test_scalar_ctors'}, {'test_file': 'torch_np/numpy_tests/lib/test_arraypad'}, {'test_file': 'test_prims'}, {'test_file': 'profiler/test_python_tracer'}, {'test_file': 'cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility'}, {'test_file': 'test_torchfuzz_repros'}, {'test_file': 'distributions/test_distributions'}, {'test_file': 'test_autoload_disable'}, {'test_file': 'test_autoload_enable'}, {'test_file': 'test_cpp_extensions_aot_ninja'}, {'test_file': 'test_cpp_extensions_aot_no_ninja'}], 'excluded': []} from test/test-reports/td_exclusions-20f0f03af92124f64d8c.json is not a benchmark record, skipping 2025-12-04T09:56:34.2525643Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T09:56:34.2527503Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'cpp/static_runtime_test'}], 'excluded': []} from test/test-reports/td_exclusions-a46361130d437a11a796.json is not a benchmark record, skipping 2025-12-04T09:56:34.2529168Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T09:56:34.2530777Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'cpp/test_api'}], 'excluded': []} from test/test-reports/td_exclusions-d5a15a6b9bf7390d2f03.json is not a benchmark record, skipping 2025-12-04T09:56:34.2532394Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T09:56:34.2536215Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'cpp/Dict_test'}, {'test_file': 'cpp/Dimname_test'}, {'test_file': 'cpp/NamedTensor_test'}, {'test_file': 'cpp/apply_utils_test'}, {'test_file': 'cpp/atest'}, {'test_file': 'cpp/basic'}, {'test_file': 'cpp/broadcast_test'}, {'test_file': 'cpp/cpu_generator_test'}, {'test_file': 'cpp/dlconvertor_test'}, {'test_file': 'cpp/extension_backend_test'}, {'test_file': 'cpp/lazy_tensor_test'}, {'test_file': 'cpp/legacy_vmap_test'}, {'test_file': 'cpp/native_test'}, {'test_file': 'cpp/operators_test'}, {'test_file': 'cpp/scalar_tensor_test'}, {'test_file': 'cpp/scalar_test'}, {'test_file': 'cpp/tensor_iterator_test'}, {'test_file': 'cpp/undefined_tensor_test'}, {'test_file': 'cpp/wrapdim_test'}], 'excluded': []} from test/test-reports/td_exclusions-692b365952895cc68084.json is not a benchmark record, skipping 2025-12-04T09:56:34.2540056Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T09:56:34.2654252Z ##[group]Run cat test/**/*_toprint.log || true 2025-12-04T09:56:34.2654654Z cat test/**/*_toprint.log || true 2025-12-04T09:56:34.2660763Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:56:34.2661145Z env: 2025-12-04T09:56:34.2661356Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:56:34.2661632Z HAS_NVIDIA_GPU: false 2025-12-04T09:56:34.2662082Z DOCKER_CONTAINER_ID: a6711748982cea0ed79a4ec67a77a511dc6690f3267afe70b4118ea07e9b0342 2025-12-04T09:56:34.2662641Z DEVICE_NAME: 2025-12-04T09:56:34.2662866Z DEVICE_TYPE: 2025-12-04T09:56:34.2663088Z ##[endgroup] 2025-12-04T09:56:34.2752347Z cat: 'test/**/*_toprint.log': No such file or directory 2025-12-04T09:56:34.2789688Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-12-04T09:56:34.2790059Z kill "$MONITOR_SCRIPT_PID" 2025-12-04T09:56:34.2798450Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:56:34.2798820Z env: 2025-12-04T09:56:34.2799040Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:56:34.2799308Z HAS_NVIDIA_GPU: false 2025-12-04T09:56:34.2799741Z DOCKER_CONTAINER_ID: a6711748982cea0ed79a4ec67a77a511dc6690f3267afe70b4118ea07e9b0342 2025-12-04T09:56:34.2800244Z DEVICE_NAME: 2025-12-04T09:56:34.2800471Z DEVICE_TYPE: 2025-12-04T09:56:34.2800708Z MONITOR_SCRIPT_PID: 44705 2025-12-04T09:56:34.2800964Z ##[endgroup] 2025-12-04T09:56:34.2824117Z /home/ec2-user/actions-runner/_work/_temp/95587e69-e527-45cf-855f-11640786e791.sh: line 1: kill: (44705) - No such process 2025-12-04T09:56:34.2834816Z ##[error]Process completed with exit code 1. 2025-12-04T09:56:34.2982080Z Prepare all required actions 2025-12-04T09:56:34.2982482Z Getting action download info 2025-12-04T09:56:34.4863428Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-12-04T09:56:34.7370428Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-12-04T09:56:35.1940880Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-12-04T09:56:35.1941228Z with: 2025-12-04T09:56:35.1941522Z file-suffix: test-default-1-5-linux.4xlarge_57112645032 2025-12-04T09:56:35.1941911Z s3-bucket: gha-artifacts 2025-12-04T09:56:35.1942157Z env: 2025-12-04T09:56:35.1942372Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:56:35.1942647Z HAS_NVIDIA_GPU: false 2025-12-04T09:56:35.1943085Z DOCKER_CONTAINER_ID: a6711748982cea0ed79a4ec67a77a511dc6690f3267afe70b4118ea07e9b0342 2025-12-04T09:56:35.1943600Z DEVICE_NAME: 2025-12-04T09:56:35.1943826Z DEVICE_TYPE: 2025-12-04T09:56:35.1944081Z ##[endgroup] 2025-12-04T09:56:35.1976389Z ##[group]Run # Remove any previous test jsons if they exist 2025-12-04T09:56:35.1976841Z # Remove any previous test jsons if they exist 2025-12-04T09:56:35.1977239Z rm -f test-jsons-*.zip 2025-12-04T09:56:35.1977669Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-12-04T09:56:35.1983545Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:56:35.1983913Z env: 2025-12-04T09:56:35.1984132Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:56:35.1984402Z HAS_NVIDIA_GPU: false 2025-12-04T09:56:35.1984838Z DOCKER_CONTAINER_ID: a6711748982cea0ed79a4ec67a77a511dc6690f3267afe70b4118ea07e9b0342 2025-12-04T09:56:35.1985341Z DEVICE_NAME: 2025-12-04T09:56:35.1985569Z DEVICE_TYPE: 2025-12-04T09:56:35.1985856Z FILE_SUFFIX: test-default-1-5-linux.4xlarge_57112645032 2025-12-04T09:56:35.1986231Z ##[endgroup] 2025-12-04T09:56:35.2146179Z adding: test/test-reports/td_exclusions-0c4b7125f12b10fc2450.json (deflated 16%) 2025-12-04T09:56:35.2147453Z adding: test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-ee7740eb7f6b93ce.json (stored 0%) 2025-12-04T09:56:35.2151276Z adding: test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-661170fc53a7190c.json (deflated 97%) 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adding: test/test-reports/python-pytest/test_multiprocessing_spawn/test_multiprocessing_spawn-93e104daa98d31be.json (deflated 92%) 2025-12-04T09:56:35.2346405Z adding: test/test-reports/python-pytest/nn.test_pooling/nn.test_pooling-5401ed86c76a5f46.json (deflated 95%) 2025-12-04T09:56:35.2366734Z adding: test/test-reports/python-pytest/test_overrides/test_overrides-742c3d35996dbc55.json (deflated 97%) 2025-12-04T09:56:35.2432233Z adding: test/test-reports/python-pytest/test_reductions/test_reductions-877b50701677b0e6.json (deflated 98%) 2025-12-04T09:56:35.2438876Z adding: test/test-reports/python-pytest/test_spectral_ops/test_spectral_ops-8865cd68803b9cfa.json (deflated 95%) 2025-12-04T09:56:35.2444707Z adding: test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-327683880d3ddfff.json (deflated 96%) 2025-12-04T09:56:35.2450147Z adding: test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-7cc94fd57a9aa21a.json (deflated 96%) 2025-12-04T09:56:35.2456236Z adding: test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-44df4e539ea3d385.json (deflated 96%) 2025-12-04T09:56:35.2461584Z adding: test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-99f3df8c448cf639.json (deflated 96%) 2025-12-04T09:56:35.2467463Z adding: test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-1141456ed170c509.json (deflated 96%) 2025-12-04T09:56:35.2469015Z adding: test/test-reports/python-pytest/inductor.test_benchmark_fusion/inductor.test_benchmark_fusion-bed320f4e766d483.json (deflated 77%) 2025-12-04T09:56:35.2470691Z adding: test/test-reports/python-pytest/inductor.test_distributed_patterns/inductor.test_distributed_patterns-364020efe1b46c67.json (deflated 89%) 2025-12-04T09:56:35.2471995Z adding: test/test-reports/python-pytest/test_sort_and_select/test_sort_and_select-a511ac7a45931d34.json (deflated 95%) 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test/test-reports/python-pytest/test_fake_tensor/test_fake_tensor-128ec13ba7f35fd7.json (deflated 95%) 2025-12-04T09:56:35.2514923Z adding: test/test-reports/python-pytest/test_multiprocessing/test_multiprocessing-a03f4f6910a5f9ef.json (deflated 92%) 2025-12-04T09:56:35.2515973Z adding: test/test-reports/python-pytest/test_autograd_fallback/test_autograd_fallback-5b600dde4fd1621c.json (deflated 94%) 2025-12-04T09:56:35.2516940Z adding: test/test-reports/python-pytest/test_autocast/test_autocast-5dbccf47aef3f443.json (deflated 91%) 2025-12-04T09:56:35.2518051Z adding: test/test-reports/python-pytest/test_cpp_extensions_mtia_backend/test_cpp_extensions_mtia_backend-e2094f96e78e94de.json (deflated 81%) 2025-12-04T09:56:35.2519429Z adding: test/test-reports/python-pytest/test_cpp_extensions_stream_and_event/test_cpp_extensions_stream_and_event-ddab44db19aed723.json (deflated 56%) 2025-12-04T09:56:35.2520500Z adding: 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test/test-reports/python-pytest/test_cpp_extensions_aot_ninja/test_cpp_extensions_aot_ninja-a6c642162fbd4b90.json (deflated 91%) 2025-12-04T09:56:35.2527967Z adding: test/test-reports/python-pytest/test_cpp_extensions_aot_no_ninja/test_cpp_extensions_aot_no_ninja-ecee149afd12c138.json (deflated 91%) 2025-12-04T09:56:35.2529132Z adding: test/test-reports/python-pytest/inductor.test_aot_inductor_utils/inductor.test_aot_inductor_utils-1b3b28498ac2b240.json (stored 0%) 2025-12-04T09:56:35.2530313Z adding: test/test-reports/python-pytest/inductor.test_aot_inductor_utils/inductor.test_aot_inductor_utils-0cdce8ed1188e221.json (stored 0%) 2025-12-04T09:56:35.2531391Z adding: test/test-reports/python-pytest/test_varlen_attention/test_varlen_attention-be1c0558869f1f11.json (stored 0%) 2025-12-04T09:56:35.2532361Z adding: test/test-reports/python-pytest/test_varlen_attention/test_varlen_attention-194c18aedeec8ce3.json (stored 0%) 2025-12-04T09:56:35.2533300Z adding: 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test/test-reports/python-pytest/functorch.test_aotdispatch/functorch.test_aotdispatch-bee72c6b1a8e0154.json (deflated 95%) 2025-12-04T09:56:35.2654911Z adding: test/test-reports/python-pytest/functorch.test_aotdispatch/functorch.test_aotdispatch-2b421e818583b26a.json (deflated 94%) 2025-12-04T09:56:35.2668181Z adding: test/test-reports/python-pytest/functorch.test_aotdispatch/functorch.test_aotdispatch-3d9e483954708ddf.json (deflated 94%) 2025-12-04T09:56:35.2672105Z adding: test/test-reports/td_exclusions-20f0f03af92124f64d8c.json (deflated 82%) 2025-12-04T09:56:35.2673093Z adding: test/test-reports/python-unittest/test_autoload/TEST-TestDeviceBackendAutoload-20251204092536.json (deflated 37%) 2025-12-04T09:56:35.2674168Z adding: test/test-reports/python-unittest/test_autoload/TEST-TestDeviceBackendAutoload-20251204092552.json (deflated 37%) 2025-12-04T09:56:35.2675047Z adding: test/test-reports/td_exclusions-a46361130d437a11a796.json (deflated 14%) 2025-12-04T09:56:35.2675764Z adding: test/test-reports/td_exclusions-d5a15a6b9bf7390d2f03.json (deflated 18%) 2025-12-04T09:56:35.2676418Z adding: test/test-reports/td_exclusions-692b365952895cc68084.json (deflated 73%) 2025-12-04T09:56:35.2727092Z ##[group]Run # Remove any previous test reports if they exist 2025-12-04T09:56:35.2727640Z # Remove any previous test reports if they exist 2025-12-04T09:56:35.2728024Z rm -f test-reports-*.zip 2025-12-04T09:56:35.2728505Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv' 2025-12-04T09:56:35.2734620Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:56:35.2734985Z env: 2025-12-04T09:56:35.2735215Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:56:35.2735494Z HAS_NVIDIA_GPU: false 2025-12-04T09:56:35.2735935Z DOCKER_CONTAINER_ID: a6711748982cea0ed79a4ec67a77a511dc6690f3267afe70b4118ea07e9b0342 2025-12-04T09:56:35.2736440Z DEVICE_NAME: 2025-12-04T09:56:35.2736666Z DEVICE_TYPE: 2025-12-04T09:56:35.2736981Z FILE_SUFFIX: test-default-1-5-linux.4xlarge_57112645032 2025-12-04T09:56:35.2737476Z ##[endgroup] 2025-12-04T09:56:35.2807904Z adding: test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-ee7740eb7f6b93ce.xml (deflated 28%) 2025-12-04T09:56:35.2811328Z adding: test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-661170fc53a7190c.xml (deflated 94%) 2025-12-04T09:56:35.2812390Z adding: test/test-reports/python-pytest/dynamo.test_fake_distributed/dynamo.test_fake_distributed-eab0b456bb056468.xml (deflated 58%) 2025-12-04T09:56:35.2826109Z adding: test/test-reports/python-pytest/test_torch/test_torch-ccc3c196195c7415.xml (deflated 92%) 2025-12-04T09:56:35.2887835Z adding: test/test-reports/python-pytest/test_utils/test_utils-32b6c8e5619ed1eb.xml (deflated 96%) 2025-12-04T09:56:35.2913023Z adding: test/test-reports/python-pytest/test_fx/test_fx-879067a3ca2075c0.xml (deflated 94%) 2025-12-04T09:56:35.2915430Z adding: test/test-reports/python-pytest/test_python_dispatch/test_python_dispatch-999367f2211c1ebf.xml (deflated 86%) 2025-12-04T09:56:35.2924505Z adding: test/test-reports/python-pytest/test_tensor_creation_ops/test_tensor_creation_ops-4a046ef460c0625d.xml (deflated 94%) 2025-12-04T09:56:35.2963402Z adding: test/test-reports/python-pytest/test_nn/test_nn-1e943898888baff1.xml (deflated 96%) 2025-12-04T09:56:35.2964350Z adding: test/test-reports/python-pytest/test_multiprocessing_spawn/test_multiprocessing_spawn-93e104daa98d31be.xml (deflated 86%) 2025-12-04T09:56:35.2966235Z adding: test/test-reports/python-pytest/nn.test_pooling/nn.test_pooling-5401ed86c76a5f46.xml (deflated 92%) 2025-12-04T09:56:35.2981165Z adding: test/test-reports/python-pytest/test_overrides/test_overrides-742c3d35996dbc55.xml (deflated 95%) 2025-12-04T09:56:35.3028340Z adding: test/test-reports/python-pytest/test_reductions/test_reductions-877b50701677b0e6.xml (deflated 96%) 2025-12-04T09:56:35.3033530Z adding: 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test/test-reports/cpp.legacy_vmap_test_1.1_2d783da7982246df_.log (deflated 81%) 2025-12-04T09:56:35.3862567Z adding: test/test-reports/test_varlen_attention_1.1_fe0f7d5838327c5f_.log (deflated 49%) 2025-12-04T09:56:35.3863243Z adding: test/test-reports/test_jiterator_1.1_cb9b075d22698a3d_.log (deflated 48%) 2025-12-04T09:56:35.3863915Z adding: test/test-reports/inductor.test_fxir_backend_1.1_3018a797007f0455_.log (stored 0%) 2025-12-04T09:56:35.3864608Z adding: test/test-reports/cpp.lazy_tensor_test_1.1_fe866587b4877309_.log (deflated 51%) 2025-12-04T09:56:35.3865317Z adding: test/test-reports/cpp.undefined_tensor_test_1.1_b31ba23c670ba501_.log (deflated 45%) 2025-12-04T09:56:35.3866039Z adding: test/test-reports/optim.test_lrscheduler_1.1_097d466626087212_.log (deflated 7%) 2025-12-04T09:56:35.3866710Z adding: test/test-reports/optim.test_optim_1.1_7ada4193d415869e_.log (deflated 7%) 2025-12-04T09:56:35.3867383Z adding: test/test-reports/cpp.operators_test_1.1_bdf3a1d4e80de54b_.log (deflated 58%) 2025-12-04T09:56:35.3868108Z adding: test/test-reports/functorch.test_aotdispatch_6.9_2e992e4b21fc5933_.log (deflated 91%) 2025-12-04T09:56:35.3987551Z adding: test/test-reports/test_ops_4.6_f07994e5b1ddee09_.log (deflated 92%) 2025-12-04T09:56:35.4001230Z adding: test/test-reports/functorch.test_aotdispatch_5.9_dbdeb7e6dfbb4562_.log (deflated 91%) 2025-12-04T09:56:35.4013744Z adding: test/test-reports/functorch.test_aotdispatch_7.9_0eec49f6a23fa94e_.log (deflated 91%) 2025-12-04T09:56:35.4014458Z adding: test/test-reports/cpp.Dict_test_1.1_ec1349d0bed41f4d_.log (deflated 42%) 2025-12-04T09:56:35.4015115Z adding: test/test-reports/cpp.Dimname_test_1.1_2f6fa2c7f7311c9e_.log (deflated 42%) 2025-12-04T09:56:35.4015811Z adding: test/test-reports/cpp.NamedTensor_test_1.1_126c04e38ecebb61_.log (deflated 42%) 2025-12-04T09:56:35.4016510Z adding: test/test-reports/cpp.apply_utils_test_1.1_36aa00c831f12c4f_.log (deflated 42%) 2025-12-04T09:56:35.4017295Z adding: test/test-reports/cpp.atest_1.1_61095be569dec2f8_.log (deflated 42%) 2025-12-04T09:56:35.4017908Z adding: test/test-reports/cpp.basic_1.1_6175ce1ba3d29a9c_.log (deflated 42%) 2025-12-04T09:56:35.4018541Z adding: test/test-reports/cpp.broadcast_test_1.1_53d3f934a784b752_.log (deflated 42%) 2025-12-04T09:56:35.4019254Z adding: test/test-reports/cpp.cpu_generator_test_1.1_272be5ca0ab1cf85_.log (deflated 42%) 2025-12-04T09:56:35.4019963Z adding: test/test-reports/cpp.dlconvertor_test_1.1_5cd8aa12baf174be_.log (deflated 42%) 2025-12-04T09:56:35.4020684Z adding: test/test-reports/cpp.extension_backend_test_1.1_7eb540f1e8694aad_.log (deflated 42%) 2025-12-04T09:56:35.4021451Z adding: test/test-reports/cpp.lazy_tensor_test_1.1_129ffc4b80124f8a_.log (deflated 42%) 2025-12-04T09:56:35.4022141Z adding: test/test-reports/cpp.legacy_vmap_test_1.1_73041dcd6046178a_.log (deflated 42%) 2025-12-04T09:56:35.4022813Z adding: test/test-reports/cpp.native_test_1.1_57dfd7fb0a79ccfa_.log (deflated 42%) 2025-12-04T09:56:35.4023476Z adding: test/test-reports/cpp.operators_test_1.1_ae1bedb2d331e01e_.log (deflated 42%) 2025-12-04T09:56:35.4024184Z adding: test/test-reports/cpp.scalar_tensor_test_1.1_be624b0292cb448a_.log (deflated 42%) 2025-12-04T09:56:35.4024862Z adding: test/test-reports/cpp.scalar_test_1.1_175db09c1228f6da_.log (deflated 42%) 2025-12-04T09:56:35.4025558Z adding: test/test-reports/cpp.tensor_iterator_test_1.1_e1e931b99ffc2eec_.log (deflated 42%) 2025-12-04T09:56:35.4026282Z adding: test/test-reports/cpp.undefined_tensor_test_1.1_a42834f5b611eda3_.log (deflated 42%) 2025-12-04T09:56:35.4026981Z adding: test/test-reports/cpp.wrapdim_test_1.1_15d3947cd7d52384_.log (deflated 42%) 2025-12-04T09:56:35.4027763Z adding: test/test-reports/cpp.cpu_generator_test_1.1_5f14a5191aff6e9a_.log (deflated 78%) 2025-12-04T09:56:35.4028488Z adding: test/test-reports/cpp.tensor_iterator_test_1.1_6c5c34d46e3dcd49_.log (deflated 88%) 2025-12-04T09:56:35.4029201Z adding: test/test-reports/cpp.NamedTensor_test_1.1_e0a309d774c85e44_.log (deflated 71%) 2025-12-04T09:56:35.4029896Z adding: test/test-reports/cpp.Dimname_test_1.1_7d4c7b7b3b2006a7_.log (deflated 57%) 2025-12-04T09:56:35.4030563Z adding: test/test-reports/cpp.scalar_test_1.1_7cf038a2ae3073ae_.log (deflated 57%) 2025-12-04T09:56:35.4031211Z adding: test/test-reports/cpp.Dict_test_1.1_a200b7ce5d0f4c5e_.log (deflated 84%) 2025-12-04T09:56:35.4031884Z adding: test/test-reports/cpp.apply_utils_test_1.1_cd7575defb37c0ab_.log (deflated 64%) 2025-12-04T09:56:35.4032542Z adding: test/test-reports/cpp.atest_1.1_44100d16a8bf471c_.log (deflated 72%) 2025-12-04T09:56:35.4033191Z adding: test/test-reports/cpp.scalar_tensor_test_1.1_d324a1f2f5a4f046_.log (deflated 58%) 2025-12-04T09:56:35.4033858Z adding: test/test-reports/cpp.basic_1.1_80656f519c120ebc_.log (deflated 63%) 2025-12-04T09:56:35.4034514Z adding: test/test-reports/cpp.dlconvertor_test_1.1_5c3ded388ae2e76a_.log (deflated 63%) 2025-12-04T09:56:35.4035223Z adding: test/test-reports/cpp.static_runtime_test_1.1_1f7bec72d220cb18_.log (deflated 42%) 2025-12-04T09:56:35.4040617Z adding: test/test-reports/cpp.static_runtime_test_1.1_41eae9401b008354_.log (deflated 90%) 2025-12-04T09:56:35.4076039Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-12-04T09:56:35.4076574Z # Remove any previous debugging artifacts if they exist 2025-12-04T09:56:35.4076983Z rm -f debug-*.zip 2025-12-04T09:56:35.4077267Z if [ -d 'test/debug' ]; then 2025-12-04T09:56:35.4077689Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-12-04T09:56:35.4078020Z fi 2025-12-04T09:56:35.4083744Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:56:35.4084132Z env: 2025-12-04T09:56:35.4084349Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:56:35.4084618Z HAS_NVIDIA_GPU: false 2025-12-04T09:56:35.4085070Z DOCKER_CONTAINER_ID: a6711748982cea0ed79a4ec67a77a511dc6690f3267afe70b4118ea07e9b0342 2025-12-04T09:56:35.4085635Z DEVICE_NAME: 2025-12-04T09:56:35.4085859Z DEVICE_TYPE: 2025-12-04T09:56:35.4086158Z FILE_SUFFIX: test-default-1-5-linux.4xlarge_57112645032 2025-12-04T09:56:35.4086525Z ##[endgroup] 2025-12-04T09:56:35.4173079Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T09:56:35.4173404Z with: 2025-12-04T09:56:35.4173623Z s3-bucket: gha-artifacts 2025-12-04T09:56:35.4173948Z s3-prefix: pytorch/pytorch/19921726337/1/artifact 2025-12-04T09:56:35.4174316Z retention-days: 14 2025-12-04T09:56:35.4174564Z if-no-files-found: warn 2025-12-04T09:56:35.4174837Z path: test-jsons-*.zip 2025-12-04T09:56:35.4175096Z name: artifact 2025-12-04T09:56:35.4175315Z region: us-east-1 2025-12-04T09:56:35.4175640Z env: 2025-12-04T09:56:35.4175852Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:56:35.4176119Z HAS_NVIDIA_GPU: false 2025-12-04T09:56:35.4176576Z DOCKER_CONTAINER_ID: a6711748982cea0ed79a4ec67a77a511dc6690f3267afe70b4118ea07e9b0342 2025-12-04T09:56:35.4177089Z DEVICE_NAME: 2025-12-04T09:56:35.4177305Z DEVICE_TYPE: 2025-12-04T09:56:35.4177534Z ##[endgroup] 2025-12-04T09:56:35.9373513Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T09:56:35.9374312Z With the provided path, there will be 1 file uploaded 2025-12-04T09:56:35.9375030Z Uploading to s3 prefix: pytorch/pytorch/19921726337/1/artifact 2025-12-04T09:56:35.9527259Z Starting upload of test-jsons-test-default-1-5-linux.4xlarge_57112645032.zip 2025-12-04T09:56:36.1020227Z Finished upload of test-jsons-test-default-1-5-linux.4xlarge_57112645032.zip 2025-12-04T09:56:36.1225174Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T09:56:36.1225508Z with: 2025-12-04T09:56:36.1225730Z s3-bucket: gha-artifacts 2025-12-04T09:56:36.1226068Z s3-prefix: pytorch/pytorch/19921726337/1/artifact 2025-12-04T09:56:36.1226593Z retention-days: 14 2025-12-04T09:56:36.1226842Z if-no-files-found: error 2025-12-04T09:56:36.1227125Z path: test-reports-*.zip 2025-12-04T09:56:36.1227396Z name: artifact 2025-12-04T09:56:36.1227615Z region: us-east-1 2025-12-04T09:56:36.1227845Z env: 2025-12-04T09:56:36.1228057Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:56:36.1228309Z HAS_NVIDIA_GPU: false 2025-12-04T09:56:36.1228758Z DOCKER_CONTAINER_ID: a6711748982cea0ed79a4ec67a77a511dc6690f3267afe70b4118ea07e9b0342 2025-12-04T09:56:36.1229260Z DEVICE_NAME: 2025-12-04T09:56:36.1229473Z DEVICE_TYPE: 2025-12-04T09:56:36.1229694Z ##[endgroup] 2025-12-04T09:56:36.4486246Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T09:56:36.4486753Z With the provided path, there will be 1 file uploaded 2025-12-04T09:56:36.4487199Z Uploading to s3 prefix: pytorch/pytorch/19921726337/1/artifact 2025-12-04T09:56:36.4533757Z Starting upload of test-reports-test-default-1-5-linux.4xlarge_57112645032.zip 2025-12-04T09:56:36.5723858Z Finished upload of test-reports-test-default-1-5-linux.4xlarge_57112645032.zip 2025-12-04T09:56:36.5905143Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T09:56:36.5905479Z with: 2025-12-04T09:56:36.5905702Z s3-bucket: gha-artifacts 2025-12-04T09:56:36.5906022Z s3-prefix: pytorch/pytorch/19921726337/1/artifact 2025-12-04T09:56:36.5906372Z retention-days: 14 2025-12-04T09:56:36.5906616Z if-no-files-found: ignore 2025-12-04T09:56:36.5906884Z path: logs-*.zip 2025-12-04T09:56:36.5907115Z name: artifact 2025-12-04T09:56:36.5907331Z region: us-east-1 2025-12-04T09:56:36.5907557Z env: 2025-12-04T09:56:36.5907767Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:56:36.5908023Z HAS_NVIDIA_GPU: false 2025-12-04T09:56:36.5908471Z DOCKER_CONTAINER_ID: a6711748982cea0ed79a4ec67a77a511dc6690f3267afe70b4118ea07e9b0342 2025-12-04T09:56:36.5908970Z DEVICE_NAME: 2025-12-04T09:56:36.5909183Z DEVICE_TYPE: 2025-12-04T09:56:36.5909405Z ##[endgroup] 2025-12-04T09:56:36.9180159Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T09:56:36.9181061Z With the provided path, there will be 1 file uploaded 2025-12-04T09:56:36.9181527Z Uploading to s3 prefix: pytorch/pytorch/19921726337/1/artifact 2025-12-04T09:56:36.9228311Z Starting upload of logs-test-default-1-5-linux.4xlarge_57112645032.zip 2025-12-04T09:56:37.0975435Z Finished upload of logs-test-default-1-5-linux.4xlarge_57112645032.zip 2025-12-04T09:56:37.1167061Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T09:56:37.1167391Z with: 2025-12-04T09:56:37.1167624Z s3-bucket: gha-artifacts 2025-12-04T09:56:37.1167955Z s3-prefix: pytorch/pytorch/19921726337/1/artifact 2025-12-04T09:56:37.1168297Z retention-days: 14 2025-12-04T09:56:37.1168555Z if-no-files-found: ignore 2025-12-04T09:56:37.1168828Z path: debug-*.zip 2025-12-04T09:56:37.1169046Z name: artifact 2025-12-04T09:56:37.1169273Z region: us-east-1 2025-12-04T09:56:37.1169502Z env: 2025-12-04T09:56:37.1169826Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:56:37.1170100Z HAS_NVIDIA_GPU: false 2025-12-04T09:56:37.1170565Z DOCKER_CONTAINER_ID: a6711748982cea0ed79a4ec67a77a511dc6690f3267afe70b4118ea07e9b0342 2025-12-04T09:56:37.1171071Z DEVICE_NAME: 2025-12-04T09:56:37.1171280Z DEVICE_TYPE: 2025-12-04T09:56:37.1171501Z ##[endgroup] 2025-12-04T09:56:37.4417528Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-12-04T09:56:37.4596828Z ##[group]Run # shellcheck disable=SC2156 2025-12-04T09:56:37.4597214Z # shellcheck disable=SC2156 2025-12-04T09:56:37.4597900Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-12-04T09:56:37.4605076Z shell: /usr/bin/bash -e {0} 2025-12-04T09:56:37.4605360Z env: 2025-12-04T09:56:37.4605580Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:56:37.4605855Z HAS_NVIDIA_GPU: false 2025-12-04T09:56:37.4606306Z DOCKER_CONTAINER_ID: a6711748982cea0ed79a4ec67a77a511dc6690f3267afe70b4118ea07e9b0342 2025-12-04T09:56:37.4606826Z DEVICE_NAME: 2025-12-04T09:56:37.4607060Z DEVICE_TYPE: 2025-12-04T09:56:37.4607270Z ##[endgroup] 2025-12-04T09:56:37.7828613Z Prepare all required actions 2025-12-04T09:56:37.7829058Z Getting action download info 2025-12-04T09:56:37.9467667Z Download action repository 'actions/setup-python@v6' (SHA:83679a892e2d95755f2dac6acb0bfd1e9ac5d548) 2025-12-04T09:56:38.3207137Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-12-04T09:56:38.3207506Z with: 2025-12-04T09:56:38.3207728Z job_id: 57112645032 2025-12-04T09:56:38.3208124Z job_name: linux-jammy-py3.14-clang12 / test (default, 1, 5, linux.4xlarge) 2025-12-04T09:56:38.3208571Z workflow_name: pull 2025-12-04T09:56:38.3208831Z workflow_run_id: 19921726337 2025-12-04T09:56:38.3209108Z workflow_attempt: 1 2025-12-04T09:56:38.3209349Z env: 2025-12-04T09:56:38.3209549Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:56:38.3209816Z HAS_NVIDIA_GPU: false 2025-12-04T09:56:38.3210275Z DOCKER_CONTAINER_ID: a6711748982cea0ed79a4ec67a77a511dc6690f3267afe70b4118ea07e9b0342 2025-12-04T09:56:38.3210765Z DEVICE_NAME: 2025-12-04T09:56:38.3211039Z DEVICE_TYPE: 2025-12-04T09:56:38.3211257Z ##[endgroup] 2025-12-04T09:56:38.3259317Z ##[group]Run actions/setup-python@v6 2025-12-04T09:56:38.3259631Z with: 2025-12-04T09:56:38.3259857Z python-version: 3.10 2025-12-04T09:56:38.3260104Z check-latest: false 2025-12-04T09:56:38.3260564Z token: *** 2025-12-04T09:56:38.3260802Z update-environment: true 2025-12-04T09:56:38.3261087Z allow-prereleases: false 2025-12-04T09:56:38.3261347Z freethreaded: false 2025-12-04T09:56:38.3261589Z env: 2025-12-04T09:56:38.3261797Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:56:38.3262051Z HAS_NVIDIA_GPU: false 2025-12-04T09:56:38.3262505Z DOCKER_CONTAINER_ID: a6711748982cea0ed79a4ec67a77a511dc6690f3267afe70b4118ea07e9b0342 2025-12-04T09:56:38.3263005Z DEVICE_NAME: 2025-12-04T09:56:38.3263219Z DEVICE_TYPE: 2025-12-04T09:56:38.3263448Z ##[endgroup] 2025-12-04T09:56:38.8001658Z ##[group]Installed versions 2025-12-04T09:56:38.8011069Z Version 3.10 was not found in the local cache 2025-12-04T09:56:38.8293036Z (node:84618) [DEP0040] DeprecationWarning: The `punycode` module is deprecated. Please use a userland alternative instead. 2025-12-04T09:56:38.8294021Z (Use `node --trace-deprecation ...` to show where the warning was created) 2025-12-04T09:56:39.1642024Z ##[error]The version '3.10' with architecture 'x64' was not found for this operating system. The list of all available versions can be found here: https://raw.githubusercontent.com/actions/python-versions/main/versions-manifest.json 2025-12-04T09:56:39.1837051Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2025-12-04T09:56:39.1837613Z with: 2025-12-04T09:56:39.1837821Z env: 2025-12-04T09:56:39.1838023Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:56:39.1838294Z HAS_NVIDIA_GPU: false 2025-12-04T09:56:39.1838748Z DOCKER_CONTAINER_ID: a6711748982cea0ed79a4ec67a77a511dc6690f3267afe70b4118ea07e9b0342 2025-12-04T09:56:39.1839333Z DEVICE_NAME: 2025-12-04T09:56:39.1839563Z DEVICE_TYPE: 2025-12-04T09:56:39.1839785Z ##[endgroup] 2025-12-04T09:56:39.1867265Z ##[group]Run set -eou pipefail 2025-12-04T09:56:39.1867584Z set -eou pipefail 2025-12-04T09:56:39.1867853Z  2025-12-04T09:56:39.1868223Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2025-12-04T09:56:39.1868697Z for _ in $(seq 1440); do 2025-12-04T09:56:39.1869017Z  # Break if no ssh session exists anymore 2025-12-04T09:56:39.1869367Z  if [ "$(who)" = "" ]; then 2025-12-04T09:56:39.1869694Z  break 2025-12-04T09:56:39.1869927Z  fi 2025-12-04T09:56:39.1870152Z  echo "." 2025-12-04T09:56:39.1870390Z  sleep 5 2025-12-04T09:56:39.1870615Z done 2025-12-04T09:56:39.1876500Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:56:39.1876894Z env: 2025-12-04T09:56:39.1877101Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:56:39.1877368Z HAS_NVIDIA_GPU: false 2025-12-04T09:56:39.1877899Z DOCKER_CONTAINER_ID: a6711748982cea0ed79a4ec67a77a511dc6690f3267afe70b4118ea07e9b0342 2025-12-04T09:56:39.1878393Z DEVICE_NAME: 2025-12-04T09:56:39.1878619Z DEVICE_TYPE: 2025-12-04T09:56:39.1878841Z ##[endgroup] 2025-12-04T09:56:39.1902537Z Holding runner for 2 hours until all ssh sessions have logged out 2025-12-04T09:56:39.2004837Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T09:56:39.2005388Z # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T09:56:39.2005824Z # shellcheck disable=SC2046 2025-12-04T09:56:39.2006153Z docker stop $(docker ps -q) || true 2025-12-04T09:56:39.2006495Z # Prune all of the docker images 2025-12-04T09:56:39.2006814Z docker system prune -af 2025-12-04T09:56:39.2012168Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:56:39.2012558Z env: 2025-12-04T09:56:39.2012752Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:56:39.2013023Z HAS_NVIDIA_GPU: false 2025-12-04T09:56:39.2013463Z DOCKER_CONTAINER_ID: a6711748982cea0ed79a4ec67a77a511dc6690f3267afe70b4118ea07e9b0342 2025-12-04T09:56:39.2013955Z DEVICE_NAME: 2025-12-04T09:56:39.2014176Z DEVICE_TYPE: 2025-12-04T09:56:39.2014398Z ##[endgroup] 2025-12-04T09:56:50.5414100Z a6711748982c 2025-12-04T09:56:51.0176823Z Deleted Containers: 2025-12-04T09:56:51.0177283Z a6711748982cea0ed79a4ec67a77a511dc6690f3267afe70b4118ea07e9b0342 2025-12-04T09:56:51.0177620Z 2025-12-04T09:56:57.6931337Z Deleted Images: 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--local --name-only --get-regexp core\.sshCommand 2025-12-04T09:56:58.0313081Z [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' || :" 2025-12-04T09:56:58.0725384Z Entering 'android/libs/fbjni' 2025-12-04T09:56:58.0784154Z Entering 'third_party/FP16' 2025-12-04T09:56:58.0839783Z Entering 'third_party/FXdiv' 2025-12-04T09:56:58.0896395Z Entering 'third_party/NNPACK' 2025-12-04T09:56:58.0953479Z Entering 'third_party/NVTX' 2025-12-04T09:56:58.1012468Z Entering 'third_party/VulkanMemoryAllocator' 2025-12-04T09:56:58.1071552Z Entering 'third_party/XNNPACK' 2025-12-04T09:56:58.1143887Z Entering 'third_party/aiter' 2025-12-04T09:56:58.1201534Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T09:56:58.1265576Z Entering 'third_party/benchmark' 2025-12-04T09:56:58.1322262Z Entering 'third_party/composable_kernel' 2025-12-04T09:56:58.1386946Z Entering 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[command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-12-04T09:56:58.5602762Z [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' || :" 2025-12-04T09:56:58.5901678Z Entering 'android/libs/fbjni' 2025-12-04T09:56:58.5939418Z http.https://github.com/.extraheader 2025-12-04T09:56:58.5973307Z Entering 'third_party/FP16' 2025-12-04T09:56:58.6011142Z http.https://github.com/.extraheader 2025-12-04T09:56:58.6044638Z Entering 'third_party/FXdiv' 2025-12-04T09:56:58.6083857Z http.https://github.com/.extraheader 2025-12-04T09:56:58.6116500Z Entering 'third_party/NNPACK' 2025-12-04T09:56:58.6153826Z http.https://github.com/.extraheader 2025-12-04T09:56:58.6188714Z Entering 'third_party/NVTX' 2025-12-04T09:56:58.6226132Z http.https://github.com/.extraheader 2025-12-04T09:56:58.6260297Z Entering 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