2025-12-04T08:56:15.6547205Z Current runner version: '2.330.0' 2025-12-04T08:56:15.6551955Z Runner name: 'i-0b030889d621e3811' 2025-12-04T08:56:15.6552533Z Runner group name: 'default' 2025-12-04T08:56:15.6553285Z Machine name: 'ip-10-0-78-85' 2025-12-04T08:56:15.6555516Z ##[group]GITHUB_TOKEN Permissions 2025-12-04T08:56:15.6557474Z Contents: read 2025-12-04T08:56:15.6557934Z Metadata: read 2025-12-04T08:56:15.6558355Z ##[endgroup] 2025-12-04T08:56:15.6559939Z Secret source: Actions 2025-12-04T08:56:15.6560501Z Prepare workflow directory 2025-12-04T08:56:15.7000261Z Prepare all required actions 2025-12-04T08:56:15.7047658Z Getting action download info 2025-12-04T08:56:16.0520100Z Download action repository 'pytorch/test-infra@main' (SHA:39aa74d619174326f4e2fb0e216151c2f29d9ffd) 2025-12-04T08:56:17.3225436Z Download action repository 'pytorch/pytorch@main' (SHA:eabb7ad2128580ef674446027b95bcf4e21e8df3) 2025-12-04T08:56:30.9584118Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-12-04T08:56:31.2332208Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-12-04T08:56:31.4975449Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-12-04T08:56:31.6805648Z Download action repository 'seemethere/download-artifact-s3@1da556a7aa0a088e3153970611f6c432d58e80e6' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-12-04T08:56:31.9030561Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-12-04T08:56:32.1466976Z Getting action download info 2025-12-04T08:56:32.2800555Z Download action repository 'actions/checkout@v4' (SHA:34e114876b0b11c390a56381ad16ebd13914f8d5) 2025-12-04T08:56:32.5079634Z Getting action download info 2025-12-04T08:56:32.6460835Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-12-04T08:56:32.8547804Z Getting action download info 2025-12-04T08:56:32.9718853Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-12-04T08:56:33.1315363Z Getting action download info 2025-12-04T08:56:33.2691846Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32) 2025-12-04T08:56:33.2695304Z ##[group] Inputs 2025-12-04T08:56:33.2695613Z build-environment: linux-jammy-py3.13-clang12 2025-12-04T08:56:33.2696592Z test-matrix: { include: [ { config: "dynamo_core", shard: 1, num_shards: 1, runner: "linux.c7i.2xlarge" }, { config: "dynamo_wrapped", shard: 1, num_shards: 3, runner: "linux.c7i.2xlarge" }, { config: "dynamo_wrapped", shard: 2, num_shards: 3, runner: "linux.c7i.2xlarge" }, { config: "dynamo_wrapped", shard: 3, num_shards: 3, runner: "linux.c7i.2xlarge" }, ]} 2025-12-04T08:56:33.2697596Z docker-image: ci-image:pytorch-linux-jammy-py3.13-clang12 2025-12-04T08:56:33.2697930Z sync-tag: 2025-12-04T08:56:33.2698670Z timeout-minutes: 240 2025-12-04T08:56:33.2698921Z use-gha: 2025-12-04T08:56:33.2699155Z dashboard-tag: 2025-12-04T08:56:33.2699410Z s3-bucket: gha-artifacts 2025-12-04T08:56:33.2699667Z aws-role-to-assume: 2025-12-04T08:56:33.2700120Z disable-monitor: false 2025-12-04T08:56:33.2700392Z monitor-log-interval: 5 2025-12-04T08:56:33.2700671Z monitor-data-collect-interval: 1 2025-12-04T08:56:33.2700960Z ##[endgroup] 2025-12-04T08:56:33.2701298Z Complete job name: dynamo-test (3.13) / test (dynamo_wrapped, 1, 3, linux.c7i.2xlarge) 2025-12-04T08:56:33.3073748Z A job started hook has been configured by the self-hosted runner administrator 2025-12-04T08:56:33.3152426Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh' 2025-12-04T08:56:33.3159206Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:56:33.3159899Z ##[endgroup] 2025-12-04T08:56:34.2772662Z Runner Type: linux.c7i.2xlarge 2025-12-04T08:56:34.2773146Z Instance Type: c7i.2xlarge 2025-12-04T08:56:34.2773338Z AMI Name: unknown 2025-12-04T08:56:34.2794054Z AMI ID: ami-08982f1c5bf93d976 2025-12-04T08:56:38.3186629Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-12-04T08:56:38.3186956Z with: 2025-12-04T08:56:38.3187510Z github-secret: *** 2025-12-04T08:56:38.3187951Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-12-04T08:56:38.3188412Z activate-with-label: false 2025-12-04T08:56:38.3188621Z label: with-ssh 2025-12-04T08:56:38.3188806Z remove-existing-keys: true 2025-12-04T08:56:38.3188995Z fail-silently: true 2025-12-04T08:56:38.3189187Z env: 2025-12-04T08:56:38.3189343Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:56:38.3189521Z ##[endgroup] 2025-12-04T08:56:38.4074112Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-12-04T08:56:38.4075017Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-12-04T08:56:38.4182526Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-12-04T08:56:38.4182835Z with: 2025-12-04T08:56:38.4183024Z no-sudo: true 2025-12-04T08:56:38.4183207Z submodules: recursive 2025-12-04T08:56:38.4183393Z fetch-depth: 0 2025-12-04T08:56:38.4183570Z env: 2025-12-04T08:56:38.4183745Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:56:38.4183936Z ##[endgroup] 2025-12-04T08:56:38.4243814Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:56:38.4244367Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:56:38.4250495Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:56:38.4250757Z env: 2025-12-04T08:56:38.4250922Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:56:38.4251110Z ##[endgroup] 2025-12-04T08:56:38.4315244Z ##[group]Run # Use all available CPUs for fetching 2025-12-04T08:56:38.4315546Z # Use all available CPUs for fetching 2025-12-04T08:56:38.4315781Z cd "${GITHUB_WORKSPACE}" 2025-12-04T08:56:38.4316035Z git config --global fetch.parallel 0 2025-12-04T08:56:38.4316281Z git config --global submodule.fetchJobs 0 2025-12-04T08:56:38.4316494Z  2025-12-04T08:56:38.4316811Z # Clean workspace. The default checkout action should also do this, but 2025-12-04T08:56:38.4317120Z # do it here as well just in case 2025-12-04T08:56:38.4317332Z if [[ -d .git ]]; then 2025-12-04T08:56:38.4317532Z  if [ -z "${NO_SUDO}" ]; then 2025-12-04T08:56:38.4317727Z  sudo git clean -ffdx 2025-12-04T08:56:38.4317913Z  else 2025-12-04T08:56:38.4318086Z  git clean -ffdx 2025-12-04T08:56:38.4318253Z  fi 2025-12-04T08:56:38.4318402Z fi 2025-12-04T08:56:38.4321977Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:56:38.4322207Z env: 2025-12-04T08:56:38.4322361Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:56:38.4322533Z NO_SUDO: true 2025-12-04T08:56:38.4322681Z ##[endgroup] 2025-12-04T08:56:38.4410275Z ##[group]Run actions/checkout@v4 2025-12-04T08:56:38.4410481Z with: 2025-12-04T08:56:38.4410661Z ref: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:56:38.4410871Z fetch-depth: 0 2025-12-04T08:56:38.4411041Z submodules: recursive 2025-12-04T08:56:38.4411228Z show-progress: false 2025-12-04T08:56:38.4411426Z repository: pytorch/pytorch 2025-12-04T08:56:38.4411755Z token: *** 2025-12-04T08:56:38.4411936Z ssh-strict: true 2025-12-04T08:56:38.4412120Z ssh-user: git 2025-12-04T08:56:38.4412300Z persist-credentials: true 2025-12-04T08:56:38.4412505Z clean: true 2025-12-04T08:56:38.4412857Z sparse-checkout-cone-mode: true 2025-12-04T08:56:38.4413073Z fetch-tags: false 2025-12-04T08:56:38.4413248Z lfs: false 2025-12-04T08:56:38.4413408Z set-safe-directory: true 2025-12-04T08:56:38.4413585Z env: 2025-12-04T08:56:38.4413749Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:56:38.4413949Z ##[endgroup] 2025-12-04T08:56:38.5269166Z Syncing repository: pytorch/pytorch 2025-12-04T08:56:38.5270204Z ##[group]Getting Git version info 2025-12-04T08:56:38.5270520Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-12-04T08:56:38.5270940Z [command]/usr/bin/git version 2025-12-04T08:56:38.5271127Z git version 2.50.1 2025-12-04T08:56:38.5274954Z ##[endgroup] 2025-12-04T08:56:38.5280745Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/2a8e0118-72c5-4e07-976d-7f666ff33488/.gitconfig' 2025-12-04T08:56:38.5297816Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/2a8e0118-72c5-4e07-976d-7f666ff33488' before making global git config changes 2025-12-04T08:56:38.5298527Z Adding repository directory to the temporary git global config as a safe directory 2025-12-04T08:56:38.5303522Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T08:56:38.5330306Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-12-04T08:56:38.5332414Z ##[group]Initializing the repository 2025-12-04T08:56:38.5342701Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T08:56:38.5366229Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-12-04T08:56:38.5366793Z hint: is subject to change. To configure the initial branch name to use in all 2025-12-04T08:56:38.5367135Z hint: of your new repositories, which will suppress this warning, call: 2025-12-04T08:56:38.5367394Z hint: 2025-12-04T08:56:38.5367616Z hint: git config --global init.defaultBranch 2025-12-04T08:56:38.5367833Z hint: 2025-12-04T08:56:38.5368067Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-12-04T08:56:38.5368410Z hint: 'development'. The just-created branch can be renamed via this command: 2025-12-04T08:56:38.5368666Z hint: 2025-12-04T08:56:38.5368818Z hint: git branch -m 2025-12-04T08:56:38.5368996Z hint: 2025-12-04T08:56:38.5369232Z hint: Disable this message with "git config set advice.defaultBranchName false" 2025-12-04T08:56:38.5369674Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2025-12-04T08:56:38.5373122Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-12-04T08:56:38.5392264Z ##[endgroup] 2025-12-04T08:56:38.5392601Z ##[group]Disabling automatic garbage collection 2025-12-04T08:56:38.5395325Z [command]/usr/bin/git config --local gc.auto 0 2025-12-04T08:56:38.5414892Z ##[endgroup] 2025-12-04T08:56:38.5415157Z ##[group]Setting up auth 2025-12-04T08:56:38.5420544Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-12-04T08:56:38.5443834Z [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' || :" 2025-12-04T08:56:38.5702193Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-12-04T08:56:38.5720992Z [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' || :" 2025-12-04T08:56:38.5945736Z [command]/usr/bin/git config --local --name-only --get-regexp ^includeIf\.gitdir: 2025-12-04T08:56:38.5968546Z [command]/usr/bin/git submodule foreach --recursive git config --local --show-origin --name-only --get-regexp remote.origin.url 2025-12-04T08:56:38.6181063Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-12-04T08:56:38.6220219Z ##[endgroup] 2025-12-04T08:56:38.6220561Z ##[group]Fetching the repository 2025-12-04T08:56:38.6226157Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-12-04T08:57:29.6711383Z From https://github.com/pytorch/pytorch 2025-12-04T08:57:29.6711829Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-12-04T08:57:29.6712325Z * [new branch] 2.9.1 -> origin/2.9.1 2025-12-04T08:57:29.6712722Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-12-04T08:57:29.6713151Z * [new branch] Flamefire-patch-1 -> origin/Flamefire-patch-1 2025-12-04T08:57:29.6713574Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-12-04T08:57:29.6713973Z * [new branch] HOPrintFunc -> origin/HOPrintFunc 2025-12-04T08:57:29.6714378Z * [new branch] IvanKobzarev/stack/1 -> origin/IvanKobzarev/stack/1 2025-12-04T08:57:29.6715244Z * [new branch] NicoshevSVE128 -> origin/NicoshevSVE128 2025-12-04T08:57:29.6715634Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-12-04T08:57:29.6716044Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-12-04T08:57:29.6716459Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-12-04T08:57:29.6716860Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-12-04T08:57:29.6717406Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-12-04T08:57:29.6718433Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-12-04T08:57:29.6718987Z * [new branch] VLA_exp -> origin/VLA_exp 2025-12-04T08:57:29.6722898Z * [new branch] activation_bench -> origin/activation_bench 2025-12-04T08:57:29.6723331Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-12-04T08:57:29.6723698Z * [new branch] adi/onednn_aarch64 -> origin/adi/onednn_aarch64 2025-12-04T08:57:29.6724034Z * [new branch] adi/test -> origin/adi/test 2025-12-04T08:57:29.6724358Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-12-04T08:57:29.6724719Z * [new branch] adi/test_m8g -> origin/adi/test_m8g 2025-12-04T08:57:29.6725051Z * [new branch] adi/test_onednn -> origin/adi/test_onednn 2025-12-04T08:57:29.6725602Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-12-04T08:57:29.6726510Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-12-04T08:57:29.6727147Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-12-04T08:57:29.6728300Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-12-04T08:57:29.6729994Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-12-04T08:57:29.6730860Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-12-04T08:57:29.6734297Z * [new branch] albanD-patch-1 -> origin/albanD-patch-1 2025-12-04T08:57:29.6734729Z * [new branch] also-surround-shimh -> origin/also-surround-shimh 2025-12-04T08:57:29.6735224Z * [new branch] angelayi/aot_compile -> origin/angelayi/aot_compile 2025-12-04T08:57:29.6735634Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-12-04T08:57:29.6736112Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-12-04T08:57:29.6736902Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-12-04T08:57:29.6737391Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-12-04T08:57:29.6737777Z * [new branch] angelayi/inductor_const -> origin/angelayi/inductor_const 2025-12-04T08:57:29.6738696Z * [new branch] angelayi/lstm -> origin/angelayi/lstm 2025-12-04T08:57:29.6739556Z * [new branch] angelayi/no_so_weight -> origin/angelayi/no_so_weight 2025-12-04T08:57:29.6740780Z * [new branch] angelayi/scan_layers -> origin/angelayi/scan_layers 2025-12-04T08:57:29.6741730Z * [new branch] angelayi/side_eff -> origin/angelayi/side_eff 2025-12-04T08:57:29.6742653Z * [new branch] angelayi/state_dict -> origin/angelayi/state_dict 2025-12-04T08:57:29.6743596Z * [new branch] angelayi/symint_input -> origin/angelayi/symint_input 2025-12-04T08:57:29.6744838Z * [new branch] angelayi/symm_mem -> origin/angelayi/symm_mem 2025-12-04T08:57:29.6745641Z * [new branch] angelayi/test_cpp -> origin/angelayi/test_cpp 2025-12-04T08:57:29.6746585Z * [new branch] angelayi/torch_size -> origin/angelayi/torch_size 2025-12-04T08:57:29.6747607Z * [new branch] annotate_assert -> origin/annotate_assert 2025-12-04T08:57:29.6748589Z * [new branch] annotate_fallback_kernel -> origin/annotate_fallback_kernel 2025-12-04T08:57:29.6749509Z * [new branch] annotation_deepcopy -> origin/annotation_deepcopy 2025-12-04T08:57:29.6750411Z * [new branch] annotation_dynamo -> origin/annotation_dynamo 2025-12-04T08:57:29.6751295Z * [new branch] aot_eager_stack_trace -> origin/aot_eager_stack_trace 2025-12-04T08:57:29.6752171Z * [new 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zhxchen17/export/disable_side_effect_warn -> origin/zhxchen17/export/disable_side_effect_warn 2025-12-04T08:57:30.0673213Z * [new branch] zhxchen17/export/pytree_check -> origin/zhxchen17/export/pytree_check 2025-12-04T08:57:30.0674293Z * [new branch] zhxchen17/precompile/aoti -> origin/zhxchen17/precompile/aoti 2025-12-04T08:57:30.0675134Z * [new branch] zhxchen17/precompile/globals -> origin/zhxchen17/precompile/globals 2025-12-04T08:57:30.0675988Z * [new branch] zhxchen17/precompile/inductor_guards -> origin/zhxchen17/precompile/inductor_guards 2025-12-04T08:57:30.0677000Z * [new branch] zhxchen17/scratch/0 -> origin/zhxchen17/scratch/0 2025-12-04T08:57:30.0677928Z * [new branch] zhxchen17/torch_export_api_update -> origin/zhxchen17/torch_export_api_update 2025-12-04T08:57:30.0679032Z * [new branch] zhxhcen17/moodycamel -> origin/zhxhcen17/moodycamel 2025-12-04T08:57:30.0680133Z * [new branch] zxiiro/build-times -> origin/zxiiro/build-times 2025-12-04T08:57:30.0681047Z * [new branch] zxiiro/c7i.2xlarge -> origin/zxiiro/c7i.2xlarge 2025-12-04T08:57:30.0681899Z * [new branch] zxiiro/c7i.2xlarge.h100 -> origin/zxiiro/c7i.2xlarge.h100 2025-12-04T08:57:30.0682740Z * [new branch] zxiiro/main -> origin/zxiiro/main 2025-12-04T08:57:30.0683557Z * [new branch] zxiiro/risc64 -> origin/zxiiro/risc64 2025-12-04T08:57:30.0684447Z * [new branch] zxiiro/test-multicloud-arc -> origin/zxiiro/test-multicloud-arc 2025-12-04T08:57:30.0685473Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-12-04T08:57:30.0686026Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-12-04T08:57:30.0687194Z * [new tag] ciflow/b200/115316 -> ciflow/b200/115316 2025-12-04T08:57:30.0687631Z * [new tag] ciflow/b200/160685 -> ciflow/b200/160685 2025-12-04T08:57:30.0688164Z * [new tag] ciflow/b200/161607 -> ciflow/b200/161607 2025-12-04T08:57:30.0688803Z * [new tag] ciflow/b200/161938 -> ciflow/b200/161938 2025-12-04T08:57:30.0689514Z * [new tag] ciflow/b200/167207 -> ciflow/b200/167207 2025-12-04T08:57:30.0689995Z * [new tag] ciflow/b200/167989 -> ciflow/b200/167989 2025-12-04T08:57:30.0690748Z * [new tag] ciflow/b200/168096 -> ciflow/b200/168096 2025-12-04T08:57:30.0691300Z * [new tag] ciflow/b200/168175 -> ciflow/b200/168175 2025-12-04T08:57:30.0691837Z * [new tag] ciflow/b200/168195 -> ciflow/b200/168195 2025-12-04T08:57:30.0692823Z * [new tag] ciflow/b200/169200 -> ciflow/b200/169200 2025-12-04T08:57:30.0693289Z * [new tag] ciflow/b200/169216 -> ciflow/b200/169216 2025-12-04T08:57:30.0694261Z * [new tag] ciflow/b200/169380 -> ciflow/b200/169380 2025-12-04T08:57:30.0695082Z * [new tag] ciflow/b200/169412 -> ciflow/b200/169412 2025-12-04T08:57:30.0695687Z * [new tag] ciflow/b200/169470 -> ciflow/b200/169470 2025-12-04T08:57:30.0696260Z * [new tag] ciflow/b200/169471 -> ciflow/b200/169471 2025-12-04T08:57:30.0696831Z * [new tag] ciflow/b200/169472 -> ciflow/b200/169472 2025-12-04T08:57:30.0697618Z * [new tag] ciflow/b200/169514 -> ciflow/b200/169514 2025-12-04T08:57:30.0698099Z * [new tag] ciflow/b200/169517 -> ciflow/b200/169517 2025-12-04T08:57:30.0698955Z * [new tag] ciflow/binaries/165922 -> ciflow/binaries/165922 2025-12-04T08:57:30.0699437Z * [new tag] ciflow/binaries/169510 -> ciflow/binaries/169510 2025-12-04T08:57:30.0700281Z * [new tag] ciflow/binaries_wheel/157994 -> ciflow/binaries_wheel/157994 2025-12-04T08:57:30.0700890Z * [new tag] ciflow/binaries_wheel/166829 -> ciflow/binaries_wheel/166829 2025-12-04T08:57:30.0701479Z * [new tag] ciflow/binaries_wheel/167972 -> ciflow/binaries_wheel/167972 2025-12-04T08:57:30.0702057Z * [new tag] ciflow/binaries_wheel/167981 -> ciflow/binaries_wheel/167981 2025-12-04T08:57:30.0702683Z * [new tag] ciflow/dynamo/167695 -> ciflow/dynamo/167695 2025-12-04T08:57:30.0703250Z * [new tag] ciflow/dynamo/168096 -> ciflow/dynamo/168096 2025-12-04T08:57:30.0703899Z * [new tag] ciflow/dynamo/169525 -> ciflow/dynamo/169525 2025-12-04T08:57:30.0704946Z * [new tag] ciflow/h100-cutlass-backend/161938 -> ciflow/h100-cutlass-backend/161938 2025-12-04T08:57:30.0705436Z * [new tag] ciflow/h100-cutlass-backend/161940 -> ciflow/h100-cutlass-backend/161940 2025-12-04T08:57:30.0706178Z * [new tag] ciflow/h100-distributed/168923 -> ciflow/h100-distributed/168923 2025-12-04T08:57:30.0707036Z * [new tag] ciflow/h100-symm-mem/167552 -> ciflow/h100-symm-mem/167552 2025-12-04T08:57:30.0707536Z * [new tag] ciflow/h100-symm-mem/168129 -> ciflow/h100-symm-mem/168129 2025-12-04T08:57:30.0708025Z * [new tag] ciflow/h100-symm-mem/168917 -> ciflow/h100-symm-mem/168917 2025-12-04T08:57:30.0708918Z * [new tag] ciflow/h100-symm-mem/169156 -> ciflow/h100-symm-mem/169156 2025-12-04T08:57:30.0709340Z * [new tag] ciflow/h100-symm-mem/169200 -> ciflow/h100-symm-mem/169200 2025-12-04T08:57:30.0709863Z * [new tag] ciflow/h100-symm-mem/169216 -> ciflow/h100-symm-mem/169216 2025-12-04T08:57:30.0710385Z * [new tag] ciflow/h100-symm-mem/169338 -> ciflow/h100-symm-mem/169338 2025-12-04T08:57:30.0711002Z * [new tag] ciflow/h100-symm-mem/169355 -> ciflow/h100-symm-mem/169355 2025-12-04T08:57:30.0711521Z * [new tag] ciflow/h100-symm-mem/169543 -> ciflow/h100-symm-mem/169543 2025-12-04T08:57:30.0712122Z * [new tag] ciflow/h100/115316 -> ciflow/h100/115316 2025-12-04T08:57:30.0712633Z * [new tag] ciflow/h100/160685 -> ciflow/h100/160685 2025-12-04T08:57:30.0713097Z * [new tag] ciflow/h100/160729 -> ciflow/h100/160729 2025-12-04T08:57:30.0714125Z * [new tag] ciflow/h100/161607 -> ciflow/h100/161607 2025-12-04T08:57:30.0714501Z * [new tag] ciflow/h100/161938 -> ciflow/h100/161938 2025-12-04T08:57:30.0715041Z * [new tag] ciflow/h100/167207 -> ciflow/h100/167207 2025-12-04T08:57:30.0715597Z * [new tag] ciflow/h100/167989 -> ciflow/h100/167989 2025-12-04T08:57:30.0716152Z * [new tag] ciflow/h100/168096 -> ciflow/h100/168096 2025-12-04T08:57:30.0716664Z * [new tag] ciflow/h100/168175 -> ciflow/h100/168175 2025-12-04T08:57:30.0717168Z * [new tag] ciflow/h100/168195 -> ciflow/h100/168195 2025-12-04T08:57:30.0717702Z * [new tag] ciflow/h100/168980 -> ciflow/h100/168980 2025-12-04T08:57:30.0718433Z * [new tag] ciflow/h100/169200 -> ciflow/h100/169200 2025-12-04T08:57:30.0719131Z * [new tag] ciflow/h100/169216 -> ciflow/h100/169216 2025-12-04T08:57:30.0719745Z * [new tag] ciflow/h100/169380 -> ciflow/h100/169380 2025-12-04T08:57:30.0720281Z * [new tag] ciflow/h100/169412 -> ciflow/h100/169412 2025-12-04T08:57:30.0720831Z * [new tag] ciflow/h100/169470 -> ciflow/h100/169470 2025-12-04T08:57:30.0721357Z * [new tag] ciflow/h100/169471 -> ciflow/h100/169471 2025-12-04T08:57:30.0721890Z * [new tag] ciflow/h100/169472 -> ciflow/h100/169472 2025-12-04T08:57:30.0722408Z * [new tag] ciflow/h100/169514 -> ciflow/h100/169514 2025-12-04T08:57:30.0723130Z * [new tag] ciflow/inductor-cu126/168096 -> ciflow/inductor-cu126/168096 2025-12-04T08:57:30.0724225Z * [new tag] ciflow/inductor-micro-benchmark-cpu-x86/168096 -> ciflow/inductor-micro-benchmark-cpu-x86/168096 2025-12-04T08:57:30.0724789Z * [new tag] ciflow/inductor-micro-benchmark/166165 -> ciflow/inductor-micro-benchmark/166165 2025-12-04T08:57:30.0725315Z * [new tag] ciflow/inductor-micro-benchmark/168096 -> ciflow/inductor-micro-benchmark/168096 2025-12-04T08:57:30.0725963Z * [new tag] ciflow/inductor-perf-compare/168096 -> ciflow/inductor-perf-compare/168096 2025-12-04T08:57:30.0727098Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/168073 -> ciflow/inductor-perf-test-nightly-rocm-mi300/168073 2025-12-04T08:57:30.0727557Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/168096 -> ciflow/inductor-perf-test-nightly-rocm-mi300/168096 2025-12-04T08:57:30.0728177Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/169024 -> ciflow/inductor-perf-test-nightly-rocm-mi300/169024 2025-12-04T08:57:30.0728866Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi355/169024 -> ciflow/inductor-perf-test-nightly-rocm-mi355/169024 2025-12-04T08:57:30.0729702Z * [new tag] ciflow/inductor-perf-test-nightly/168096 -> ciflow/inductor-perf-test-nightly/168096 2025-12-04T08:57:30.0734647Z * [new tag] ciflow/inductor-periodic/168096 -> ciflow/inductor-periodic/168096 2025-12-04T08:57:30.0735440Z * [new tag] ciflow/inductor-periodic/169024 -> ciflow/inductor-periodic/169024 2025-12-04T08:57:30.0736282Z * [new tag] ciflow/inductor-periodic/169425 -> ciflow/inductor-periodic/169425 2025-12-04T08:57:30.0737093Z * [new tag] ciflow/inductor-rocm-mi200/165545 -> ciflow/inductor-rocm-mi200/165545 2025-12-04T08:57:30.0737766Z * [new tag] ciflow/inductor-rocm-mi200/165997 -> ciflow/inductor-rocm-mi200/165997 2025-12-04T08:57:30.0738327Z * [new tag] ciflow/inductor-rocm-mi200/168096 -> ciflow/inductor-rocm-mi200/168096 2025-12-04T08:57:30.0738964Z * [new tag] ciflow/inductor-rocm-mi200/169063 -> ciflow/inductor-rocm-mi200/169063 2025-12-04T08:57:30.0739541Z * [new tag] ciflow/inductor-rocm-mi200/169425 -> ciflow/inductor-rocm-mi200/169425 2025-12-04T08:57:30.0740189Z * [new tag] ciflow/inductor-rocm-mi300/165545 -> ciflow/inductor-rocm-mi300/165545 2025-12-04T08:57:30.0740808Z * [new tag] ciflow/inductor-rocm-mi300/168096 -> ciflow/inductor-rocm-mi300/168096 2025-12-04T08:57:30.0741267Z * [new tag] ciflow/inductor-rocm-mi300/169063 -> ciflow/inductor-rocm-mi300/169063 2025-12-04T08:57:30.0741792Z * [new tag] ciflow/inductor-rocm-mi300/169425 -> ciflow/inductor-rocm-mi300/169425 2025-12-04T08:57:30.0742567Z * [new tag] ciflow/inductor-rocm/162052 -> ciflow/inductor-rocm/162052 2025-12-04T08:57:30.0743165Z * [new tag] ciflow/inductor-rocm/168971 -> ciflow/inductor-rocm/168971 2025-12-04T08:57:30.0743856Z * [new tag] ciflow/inductor-windows/168096 -> ciflow/inductor-windows/168096 2025-12-04T08:57:30.0744516Z * [new tag] ciflow/inductor/144542 -> ciflow/inductor/144542 2025-12-04T08:57:30.0745200Z * [new tag] ciflow/inductor/146506 -> ciflow/inductor/146506 2025-12-04T08:57:30.0745771Z * [new tag] ciflow/inductor/147990 -> ciflow/inductor/147990 2025-12-04T08:57:30.0746600Z * [new tag] ciflow/inductor/148294 -> ciflow/inductor/148294 2025-12-04T08:57:30.0747072Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-12-04T08:57:30.0747635Z * [new tag] ciflow/inductor/157149 -> ciflow/inductor/157149 2025-12-04T08:57:30.0748207Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-12-04T08:57:30.0748766Z * [new tag] ciflow/inductor/160685 -> ciflow/inductor/160685 2025-12-04T08:57:30.0749383Z * [new tag] ciflow/inductor/160686 -> ciflow/inductor/160686 2025-12-04T08:57:30.0749949Z * [new tag] ciflow/inductor/160687 -> ciflow/inductor/160687 2025-12-04T08:57:30.0750542Z * [new tag] ciflow/inductor/160688 -> ciflow/inductor/160688 2025-12-04T08:57:30.0751435Z * [new tag] ciflow/inductor/160706 -> ciflow/inductor/160706 2025-12-04T08:57:30.0752259Z * [new tag] ciflow/inductor/160729 -> ciflow/inductor/160729 2025-12-04T08:57:30.0752982Z * [new tag] ciflow/inductor/161938 -> ciflow/inductor/161938 2025-12-04T08:57:30.0753579Z * [new tag] ciflow/inductor/161939 -> ciflow/inductor/161939 2025-12-04T08:57:30.0754579Z * [new tag] ciflow/inductor/161940 -> ciflow/inductor/161940 2025-12-04T08:57:30.0755027Z * [new tag] ciflow/inductor/162052 -> ciflow/inductor/162052 2025-12-04T08:57:30.0755582Z * [new tag] ciflow/inductor/162275 -> ciflow/inductor/162275 2025-12-04T08:57:30.0756144Z * [new tag] ciflow/inductor/162795 -> ciflow/inductor/162795 2025-12-04T08:57:30.0756981Z * [new tag] ciflow/inductor/163245 -> ciflow/inductor/163245 2025-12-04T08:57:30.0757512Z * [new tag] ciflow/inductor/163335 -> ciflow/inductor/163335 2025-12-04T08:57:30.0758076Z * [new tag] ciflow/inductor/163503 -> ciflow/inductor/163503 2025-12-04T08:57:30.0758720Z * [new tag] ciflow/inductor/163942 -> ciflow/inductor/163942 2025-12-04T08:57:30.0759493Z * [new tag] ciflow/inductor/165270 -> ciflow/inductor/165270 2025-12-04T08:57:30.0760002Z * [new tag] ciflow/inductor/165274 -> ciflow/inductor/165274 2025-12-04T08:57:30.0760569Z * [new tag] ciflow/inductor/165322 -> ciflow/inductor/165322 2025-12-04T08:57:30.0761150Z * [new tag] ciflow/inductor/165597 -> ciflow/inductor/165597 2025-12-04T08:57:30.0761708Z * [new tag] ciflow/inductor/166063 -> ciflow/inductor/166063 2025-12-04T08:57:30.0762379Z * [new tag] ciflow/inductor/166075 -> ciflow/inductor/166075 2025-12-04T08:57:30.0762936Z * [new tag] ciflow/inductor/166165 -> ciflow/inductor/166165 2025-12-04T08:57:30.0763826Z * [new tag] ciflow/inductor/166254 -> ciflow/inductor/166254 2025-12-04T08:57:30.0764302Z * [new tag] ciflow/inductor/166483 -> ciflow/inductor/166483 2025-12-04T08:57:30.0764859Z * [new tag] ciflow/inductor/166494 -> ciflow/inductor/166494 2025-12-04T08:57:30.0765438Z * [new tag] ciflow/inductor/166545 -> ciflow/inductor/166545 2025-12-04T08:57:30.0765996Z * [new tag] ciflow/inductor/166788 -> ciflow/inductor/166788 2025-12-04T08:57:30.0766746Z * [new tag] ciflow/inductor/166846 -> ciflow/inductor/166846 2025-12-04T08:57:30.0767268Z * [new tag] ciflow/inductor/167300 -> ciflow/inductor/167300 2025-12-04T08:57:30.0767819Z * [new tag] ciflow/inductor/167407 -> ciflow/inductor/167407 2025-12-04T08:57:30.0768482Z * [new tag] ciflow/inductor/167536 -> ciflow/inductor/167536 2025-12-04T08:57:30.0769040Z * [new tag] ciflow/inductor/167552 -> ciflow/inductor/167552 2025-12-04T08:57:30.0769609Z * [new tag] ciflow/inductor/167555 -> ciflow/inductor/167555 2025-12-04T08:57:30.0770276Z * [new tag] ciflow/inductor/167583 -> ciflow/inductor/167583 2025-12-04T08:57:30.0770818Z * [new tag] ciflow/inductor/167599 -> ciflow/inductor/167599 2025-12-04T08:57:30.0771748Z * [new tag] ciflow/inductor/167647 -> ciflow/inductor/167647 2025-12-04T08:57:30.0772222Z * [new tag] ciflow/inductor/167677 -> ciflow/inductor/167677 2025-12-04T08:57:30.0772854Z * [new tag] ciflow/inductor/167680 -> ciflow/inductor/167680 2025-12-04T08:57:30.0773483Z * [new tag] ciflow/inductor/167695 -> ciflow/inductor/167695 2025-12-04T08:57:30.0774083Z * [new tag] ciflow/inductor/167742 -> ciflow/inductor/167742 2025-12-04T08:57:30.0774724Z * [new tag] ciflow/inductor/167768 -> ciflow/inductor/167768 2025-12-04T08:57:30.0775519Z * [new tag] ciflow/inductor/167773 -> ciflow/inductor/167773 2025-12-04T08:57:30.0776074Z * [new tag] ciflow/inductor/167781 -> ciflow/inductor/167781 2025-12-04T08:57:30.0776711Z * [new tag] ciflow/inductor/167880 -> ciflow/inductor/167880 2025-12-04T08:57:30.0777291Z * [new tag] ciflow/inductor/167887 -> ciflow/inductor/167887 2025-12-04T08:57:30.0777888Z * [new tag] ciflow/inductor/167972 -> ciflow/inductor/167972 2025-12-04T08:57:30.0778490Z * [new tag] ciflow/inductor/167989 -> ciflow/inductor/167989 2025-12-04T08:57:30.0779071Z * [new tag] ciflow/inductor/168002 -> ciflow/inductor/168002 2025-12-04T08:57:30.0780127Z * [new tag] ciflow/inductor/168050 -> ciflow/inductor/168050 2025-12-04T08:57:30.0780728Z * [new tag] ciflow/inductor/168051 -> ciflow/inductor/168051 2025-12-04T08:57:30.0780910Z * [new tag] ciflow/inductor/168052 -> ciflow/inductor/168052 2025-12-04T08:57:30.0781300Z * [new tag] ciflow/inductor/168073 -> ciflow/inductor/168073 2025-12-04T08:57:30.0782122Z * [new tag] ciflow/inductor/168096 -> ciflow/inductor/168096 2025-12-04T08:57:30.0782603Z * [new tag] ciflow/inductor/168114 -> ciflow/inductor/168114 2025-12-04T08:57:30.0783181Z * [new tag] ciflow/inductor/168115 -> ciflow/inductor/168115 2025-12-04T08:57:30.0783758Z * [new tag] ciflow/inductor/168127 -> ciflow/inductor/168127 2025-12-04T08:57:30.0784257Z * [new tag] ciflow/inductor/168129 -> ciflow/inductor/168129 2025-12-04T08:57:30.0784975Z * [new tag] ciflow/inductor/168157 -> ciflow/inductor/168157 2025-12-04T08:57:30.0785645Z * [new tag] ciflow/inductor/168175 -> ciflow/inductor/168175 2025-12-04T08:57:30.0786270Z * [new tag] ciflow/inductor/168185 -> ciflow/inductor/168185 2025-12-04T08:57:30.0786815Z * [new tag] ciflow/inductor/168195 -> ciflow/inductor/168195 2025-12-04T08:57:30.0787364Z * [new tag] ciflow/inductor/168209 -> ciflow/inductor/168209 2025-12-04T08:57:30.0787923Z * [new tag] ciflow/inductor/168266 -> ciflow/inductor/168266 2025-12-04T08:57:30.0788477Z * [new tag] ciflow/inductor/168316 -> ciflow/inductor/168316 2025-12-04T08:57:30.0789221Z * [new tag] ciflow/inductor/168326 -> ciflow/inductor/168326 2025-12-04T08:57:30.0789740Z * [new tag] ciflow/inductor/168368 -> ciflow/inductor/168368 2025-12-04T08:57:30.0790315Z * [new tag] ciflow/inductor/168894 -> ciflow/inductor/168894 2025-12-04T08:57:30.0790910Z * [new tag] ciflow/inductor/168934 -> ciflow/inductor/168934 2025-12-04T08:57:30.0791456Z * [new tag] ciflow/inductor/168939 -> ciflow/inductor/168939 2025-12-04T08:57:30.0792014Z * [new tag] ciflow/inductor/168946 -> ciflow/inductor/168946 2025-12-04T08:57:30.0792559Z * [new tag] ciflow/inductor/168950 -> ciflow/inductor/168950 2025-12-04T08:57:30.0793596Z * [new tag] ciflow/inductor/168951 -> ciflow/inductor/168951 2025-12-04T08:57:30.0794079Z * [new tag] ciflow/inductor/168952 -> ciflow/inductor/168952 2025-12-04T08:57:30.0794659Z * [new tag] ciflow/inductor/168955 -> ciflow/inductor/168955 2025-12-04T08:57:30.0795233Z * [new tag] ciflow/inductor/168971 -> ciflow/inductor/168971 2025-12-04T08:57:30.0795766Z * [new tag] ciflow/inductor/168979 -> ciflow/inductor/168979 2025-12-04T08:57:30.0796389Z * [new tag] ciflow/inductor/168980 -> ciflow/inductor/168980 2025-12-04T08:57:30.0797154Z * [new tag] ciflow/inductor/168983 -> ciflow/inductor/168983 2025-12-04T08:57:30.0797694Z * [new tag] ciflow/inductor/169006 -> ciflow/inductor/169006 2025-12-04T08:57:30.0798233Z * [new tag] ciflow/inductor/169023 -> ciflow/inductor/169023 2025-12-04T08:57:30.0798828Z * [new tag] ciflow/inductor/169024 -> ciflow/inductor/169024 2025-12-04T08:57:30.0799412Z * [new tag] ciflow/inductor/169025 -> ciflow/inductor/169025 2025-12-04T08:57:30.0799992Z * [new tag] ciflow/inductor/169066 -> ciflow/inductor/169066 2025-12-04T08:57:30.0800524Z * [new tag] ciflow/inductor/169091 -> ciflow/inductor/169091 2025-12-04T08:57:30.0801173Z * [new tag] ciflow/inductor/169102 -> ciflow/inductor/169102 2025-12-04T08:57:30.0801746Z * [new tag] ciflow/inductor/169103 -> ciflow/inductor/169103 2025-12-04T08:57:30.0802328Z * [new tag] ciflow/inductor/169121 -> ciflow/inductor/169121 2025-12-04T08:57:30.0802858Z * [new tag] ciflow/inductor/169134 -> ciflow/inductor/169134 2025-12-04T08:57:30.0803453Z * [new tag] ciflow/inductor/169135 -> ciflow/inductor/169135 2025-12-04T08:57:30.0804039Z * [new tag] ciflow/inductor/169141 -> ciflow/inductor/169141 2025-12-04T08:57:30.0804631Z * [new tag] ciflow/inductor/169151 -> ciflow/inductor/169151 2025-12-04T08:57:30.0805262Z * [new tag] ciflow/inductor/169161 -> ciflow/inductor/169161 2025-12-04T08:57:30.0805824Z * [new tag] ciflow/inductor/169167 -> ciflow/inductor/169167 2025-12-04T08:57:30.0806602Z * [new tag] ciflow/inductor/169177 -> ciflow/inductor/169177 2025-12-04T08:57:30.0807249Z * [new tag] ciflow/inductor/169185 -> ciflow/inductor/169185 2025-12-04T08:57:30.0807826Z * [new tag] ciflow/inductor/169196 -> ciflow/inductor/169196 2025-12-04T08:57:30.0808446Z * [new tag] ciflow/inductor/169200 -> ciflow/inductor/169200 2025-12-04T08:57:30.0808955Z * [new tag] ciflow/inductor/169204 -> ciflow/inductor/169204 2025-12-04T08:57:30.0809546Z * [new tag] ciflow/inductor/169216 -> ciflow/inductor/169216 2025-12-04T08:57:30.0810098Z * [new tag] ciflow/inductor/169219 -> ciflow/inductor/169219 2025-12-04T08:57:30.0810648Z * [new tag] ciflow/inductor/169220 -> ciflow/inductor/169220 2025-12-04T08:57:30.0811305Z * [new tag] ciflow/inductor/169230 -> ciflow/inductor/169230 2025-12-04T08:57:30.0811925Z * [new tag] ciflow/inductor/169242 -> ciflow/inductor/169242 2025-12-04T08:57:30.0812508Z * [new tag] ciflow/inductor/169245 -> ciflow/inductor/169245 2025-12-04T08:57:30.0813199Z * [new tag] ciflow/inductor/169260 -> ciflow/inductor/169260 2025-12-04T08:57:30.0813789Z * [new tag] ciflow/inductor/169282 -> ciflow/inductor/169282 2025-12-04T08:57:30.0814381Z * [new tag] ciflow/inductor/169286 -> ciflow/inductor/169286 2025-12-04T08:57:30.0814991Z * [new tag] ciflow/inductor/169299 -> ciflow/inductor/169299 2025-12-04T08:57:30.0815665Z * [new tag] ciflow/inductor/169304 -> ciflow/inductor/169304 2025-12-04T08:57:30.0816767Z * [new tag] ciflow/inductor/169305 -> ciflow/inductor/169305 2025-12-04T08:57:30.0817238Z * [new tag] ciflow/inductor/169308 -> ciflow/inductor/169308 2025-12-04T08:57:30.0817828Z * [new tag] ciflow/inductor/169319 -> ciflow/inductor/169319 2025-12-04T08:57:30.0818455Z * [new tag] ciflow/inductor/169326 -> ciflow/inductor/169326 2025-12-04T08:57:30.0819052Z * [new tag] ciflow/inductor/169332 -> ciflow/inductor/169332 2025-12-04T08:57:30.0819640Z * [new tag] ciflow/inductor/169333 -> ciflow/inductor/169333 2025-12-04T08:57:30.0820430Z * [new tag] ciflow/inductor/169336 -> ciflow/inductor/169336 2025-12-04T08:57:30.0821089Z * [new tag] ciflow/inductor/169340 -> ciflow/inductor/169340 2025-12-04T08:57:30.0821626Z * [new tag] ciflow/inductor/169341 -> ciflow/inductor/169341 2025-12-04T08:57:30.0822202Z * [new tag] ciflow/inductor/169343 -> ciflow/inductor/169343 2025-12-04T08:57:30.0822766Z * [new tag] ciflow/inductor/169346 -> ciflow/inductor/169346 2025-12-04T08:57:30.0823539Z * [new tag] ciflow/inductor/169348 -> ciflow/inductor/169348 2025-12-04T08:57:30.0823972Z * [new tag] ciflow/inductor/169350 -> ciflow/inductor/169350 2025-12-04T08:57:30.0824497Z * [new tag] ciflow/inductor/169355 -> ciflow/inductor/169355 2025-12-04T08:57:30.0825510Z * [new tag] ciflow/inductor/169370 -> ciflow/inductor/169370 2025-12-04T08:57:30.0826381Z * [new tag] ciflow/inductor/169375 -> ciflow/inductor/169375 2025-12-04T08:57:30.0826869Z * [new tag] ciflow/inductor/169389 -> ciflow/inductor/169389 2025-12-04T08:57:30.0827402Z * [new tag] ciflow/inductor/169391 -> ciflow/inductor/169391 2025-12-04T08:57:30.0827985Z * [new tag] ciflow/inductor/169393 -> ciflow/inductor/169393 2025-12-04T08:57:30.0828527Z * [new tag] ciflow/inductor/169399 -> ciflow/inductor/169399 2025-12-04T08:57:30.0829294Z * [new tag] ciflow/inductor/169400 -> ciflow/inductor/169400 2025-12-04T08:57:30.0829975Z * [new tag] ciflow/inductor/169415 -> ciflow/inductor/169415 2025-12-04T08:57:30.0830554Z * [new tag] ciflow/inductor/169417 -> ciflow/inductor/169417 2025-12-04T08:57:30.0831206Z * [new tag] ciflow/inductor/169418 -> ciflow/inductor/169418 2025-12-04T08:57:30.0832036Z * [new tag] ciflow/inductor/169430 -> ciflow/inductor/169430 2025-12-04T08:57:30.0832501Z * [new tag] ciflow/inductor/169432 -> ciflow/inductor/169432 2025-12-04T08:57:30.0833480Z * [new tag] ciflow/inductor/169436 -> ciflow/inductor/169436 2025-12-04T08:57:30.0834117Z * [new tag] ciflow/inductor/169437 -> ciflow/inductor/169437 2025-12-04T08:57:30.0834673Z * [new tag] ciflow/inductor/169438 -> ciflow/inductor/169438 2025-12-04T08:57:30.0835233Z * [new tag] ciflow/inductor/169441 -> ciflow/inductor/169441 2025-12-04T08:57:30.0835781Z * [new tag] ciflow/inductor/169446 -> ciflow/inductor/169446 2025-12-04T08:57:30.0836444Z * [new tag] ciflow/inductor/169447 -> ciflow/inductor/169447 2025-12-04T08:57:30.0837018Z * [new tag] ciflow/inductor/169452 -> ciflow/inductor/169452 2025-12-04T08:57:30.0837860Z * [new tag] ciflow/inductor/169455 -> ciflow/inductor/169455 2025-12-04T08:57:30.0838391Z * [new tag] ciflow/inductor/169459 -> ciflow/inductor/169459 2025-12-04T08:57:30.0839143Z * [new tag] ciflow/inductor/169463 -> ciflow/inductor/169463 2025-12-04T08:57:30.0839800Z * [new tag] ciflow/inductor/169476 -> ciflow/inductor/169476 2025-12-04T08:57:30.0840335Z * [new tag] ciflow/inductor/169485 -> ciflow/inductor/169485 2025-12-04T08:57:30.0840881Z * [new tag] ciflow/inductor/169493 -> ciflow/inductor/169493 2025-12-04T08:57:30.0841547Z * [new tag] ciflow/inductor/169496 -> ciflow/inductor/169496 2025-12-04T08:57:30.0842127Z * [new tag] ciflow/inductor/169497 -> ciflow/inductor/169497 2025-12-04T08:57:30.0842695Z * [new tag] ciflow/inductor/169503 -> ciflow/inductor/169503 2025-12-04T08:57:30.0843261Z * [new tag] ciflow/inductor/169504 -> ciflow/inductor/169504 2025-12-04T08:57:30.0844056Z * [new tag] ciflow/inductor/169505 -> ciflow/inductor/169505 2025-12-04T08:57:30.0845044Z * [new tag] ciflow/inductor/169508 -> ciflow/inductor/169508 2025-12-04T08:57:30.0845507Z * [new tag] ciflow/inductor/169509 -> ciflow/inductor/169509 2025-12-04T08:57:30.0846080Z * [new tag] ciflow/inductor/169513 -> ciflow/inductor/169513 2025-12-04T08:57:30.0846660Z * [new tag] ciflow/inductor/169514 -> ciflow/inductor/169514 2025-12-04T08:57:30.0847231Z * [new tag] ciflow/inductor/169515 -> ciflow/inductor/169515 2025-12-04T08:57:30.0847765Z * [new tag] ciflow/inductor/169517 -> ciflow/inductor/169517 2025-12-04T08:57:30.0848315Z * [new tag] ciflow/inductor/169519 -> ciflow/inductor/169519 2025-12-04T08:57:30.0848896Z * [new tag] ciflow/inductor/169520 -> ciflow/inductor/169520 2025-12-04T08:57:30.0849437Z * [new tag] ciflow/inductor/169521 -> ciflow/inductor/169521 2025-12-04T08:57:30.0850040Z * [new tag] ciflow/inductor/169524 -> ciflow/inductor/169524 2025-12-04T08:57:30.0850577Z * [new tag] ciflow/inductor/169527 -> ciflow/inductor/169527 2025-12-04T08:57:30.0851142Z * [new tag] ciflow/inductor/169528 -> ciflow/inductor/169528 2025-12-04T08:57:30.0851790Z * [new tag] ciflow/inductor/169532 -> ciflow/inductor/169532 2025-12-04T08:57:30.0852341Z * [new tag] ciflow/inductor/169535 -> ciflow/inductor/169535 2025-12-04T08:57:30.0852967Z * [new tag] ciflow/inductor/169536 -> ciflow/inductor/169536 2025-12-04T08:57:30.0853575Z * [new tag] ciflow/inductor/169547 -> ciflow/inductor/169547 2025-12-04T08:57:30.0854228Z * [new tag] ciflow/inductor/169548 -> ciflow/inductor/169548 2025-12-04T08:57:30.0854771Z * [new tag] ciflow/inductor/169549 -> ciflow/inductor/169549 2025-12-04T08:57:30.0855380Z * [new tag] ciflow/inductor/169551 -> ciflow/inductor/169551 2025-12-04T08:57:30.0856014Z * [new tag] ciflow/inductor/169552 -> ciflow/inductor/169552 2025-12-04T08:57:30.0856600Z * [new tag] ciflow/inductor/169553 -> ciflow/inductor/169553 2025-12-04T08:57:30.0857488Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-12-04T08:57:30.0858433Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-12-04T08:57:30.0858984Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-12-04T08:57:30.0859842Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-12-04T08:57:30.0860356Z * [new tag] ciflow/linux-aarch64/166075 -> ciflow/linux-aarch64/166075 2025-12-04T08:57:30.0861018Z * [new tag] ciflow/linux-aarch64/166876 -> ciflow/linux-aarch64/166876 2025-12-04T08:57:30.0861550Z * [new tag] ciflow/linux-aarch64/167981 -> ciflow/linux-aarch64/167981 2025-12-04T08:57:30.0862332Z * [new tag] ciflow/mps/166254 -> ciflow/mps/166254 2025-12-04T08:57:30.0862705Z * [new tag] ciflow/mps/169017 -> ciflow/mps/169017 2025-12-04T08:57:30.0863333Z * [new tag] ciflow/mps/169372 -> ciflow/mps/169372 2025-12-04T08:57:30.0863862Z * [new tag] ciflow/mps/169478 -> ciflow/mps/169478 2025-12-04T08:57:30.0864585Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-12-04T08:57:30.0865288Z * [new tag] ciflow/op-benchmark/166075 -> ciflow/op-benchmark/166075 2025-12-04T08:57:30.0865834Z * [new tag] ciflow/op-benchmark/169544 -> ciflow/op-benchmark/169544 2025-12-04T08:57:30.0866780Z * [new tag] ciflow/periodic-rocm-mi200/165997 -> ciflow/periodic-rocm-mi200/165997 2025-12-04T08:57:30.0867274Z * [new tag] ciflow/periodic-rocm-mi200/166517 -> ciflow/periodic-rocm-mi200/166517 2025-12-04T08:57:30.0867830Z * [new tag] ciflow/periodic-rocm-mi200/169063 -> ciflow/periodic-rocm-mi200/169063 2025-12-04T08:57:30.0868353Z * [new tag] ciflow/periodic-rocm-mi200/169425 -> ciflow/periodic-rocm-mi200/169425 2025-12-04T08:57:30.0869163Z * [new tag] ciflow/periodic-rocm-mi300/166517 -> ciflow/periodic-rocm-mi300/166517 2025-12-04T08:57:30.0869698Z * [new tag] ciflow/periodic-rocm-mi300/169063 -> ciflow/periodic-rocm-mi300/169063 2025-12-04T08:57:30.0870208Z * [new tag] ciflow/periodic-rocm-mi300/169425 -> ciflow/periodic-rocm-mi300/169425 2025-12-04T08:57:30.0871122Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-12-04T08:57:30.0871530Z * [new tag] ciflow/periodic/167207 -> ciflow/periodic/167207 2025-12-04T08:57:30.0872163Z * [new tag] ciflow/periodic/167978 -> ciflow/periodic/167978 2025-12-04T08:57:30.0872677Z * [new tag] ciflow/periodic/168096 -> ciflow/periodic/168096 2025-12-04T08:57:30.0873179Z * [new tag] ciflow/periodic/169286 -> ciflow/periodic/169286 2025-12-04T08:57:30.0873943Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-12-04T08:57:30.0874624Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-12-04T08:57:30.0875251Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-12-04T08:57:30.0876003Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-12-04T08:57:30.0877344Z * [new tag] ciflow/periodic/7c648509a7470ace9fb2bae960dd4790f7e943e9 -> ciflow/periodic/7c648509a7470ace9fb2bae960dd4790f7e943e9 2025-12-04T08:57:30.0877932Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-12-04T08:57:30.0878932Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-12-04T08:57:30.0879605Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-12-04T08:57:30.0880263Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-12-04T08:57:30.0881066Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-12-04T08:57:30.0881882Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-12-04T08:57:30.0882756Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-12-04T08:57:30.0883320Z * [new tag] ciflow/pull/167207 -> ciflow/pull/167207 2025-12-04T08:57:30.0884225Z * [new tag] ciflow/quantization-periodic/169207 -> ciflow/quantization-periodic/169207 2025-12-04T08:57:30.0885160Z * [new tag] ciflow/rocm-mi200/165545 -> ciflow/rocm-mi200/165545 2025-12-04T08:57:30.0885590Z * [new tag] ciflow/rocm-mi200/165997 -> ciflow/rocm-mi200/165997 2025-12-04T08:57:30.0886119Z * [new tag] ciflow/rocm-mi200/168096 -> ciflow/rocm-mi200/168096 2025-12-04T08:57:30.0886914Z * [new tag] ciflow/rocm-mi200/168275 -> ciflow/rocm-mi200/168275 2025-12-04T08:57:30.0887219Z * [new tag] ciflow/rocm-mi200/169063 -> ciflow/rocm-mi200/169063 2025-12-04T08:57:30.0887919Z * [new tag] ciflow/rocm-mi200/169356 -> ciflow/rocm-mi200/169356 2025-12-04T08:57:30.0888367Z * [new tag] ciflow/rocm-mi200/169425 -> ciflow/rocm-mi200/169425 2025-12-04T08:57:30.0888981Z * [new tag] ciflow/rocm-mi300/165545 -> ciflow/rocm-mi300/165545 2025-12-04T08:57:30.0889731Z * [new tag] ciflow/rocm-mi300/167157 -> ciflow/rocm-mi300/167157 2025-12-04T08:57:30.0890220Z * [new tag] ciflow/rocm-mi300/168096 -> ciflow/rocm-mi300/168096 2025-12-04T08:57:30.0890728Z * [new tag] ciflow/rocm-mi300/169063 -> ciflow/rocm-mi300/169063 2025-12-04T08:57:30.0891219Z * [new tag] ciflow/rocm-mi300/169425 -> ciflow/rocm-mi300/169425 2025-12-04T08:57:30.0891895Z * [new tag] ciflow/rocm-mi355/167157 -> ciflow/rocm-mi355/167157 2025-12-04T08:57:30.0892478Z * [new tag] ciflow/rocm-mi355/168275 -> ciflow/rocm-mi355/168275 2025-12-04T08:57:30.0893024Z * [new tag] ciflow/rocm-mi355/169425 -> ciflow/rocm-mi355/169425 2025-12-04T08:57:30.0893770Z * [new tag] ciflow/rocm-navi31/168275 -> ciflow/rocm-navi31/168275 2025-12-04T08:57:30.0894266Z * [new tag] ciflow/rocm-navi31/169425 -> ciflow/rocm-navi31/169425 2025-12-04T08:57:30.0895076Z * [new tag] ciflow/rocm/115316 -> ciflow/rocm/115316 2025-12-04T08:57:30.0895548Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-12-04T08:57:30.0896083Z * [new tag] ciflow/rocm/160685 -> ciflow/rocm/160685 2025-12-04T08:57:30.0896607Z * [new tag] ciflow/rocm/161607 -> ciflow/rocm/161607 2025-12-04T08:57:30.0897164Z * [new tag] ciflow/rocm/162052 -> ciflow/rocm/162052 2025-12-04T08:57:30.0897681Z * [new tag] ciflow/rocm/165997 -> ciflow/rocm/165997 2025-12-04T08:57:30.0898200Z * [new tag] ciflow/rocm/166165 -> ciflow/rocm/166165 2025-12-04T08:57:30.0899200Z * [new tag] ciflow/rocm/166517 -> ciflow/rocm/166517 2025-12-04T08:57:30.0899635Z * [new tag] ciflow/rocm/167207 -> ciflow/rocm/167207 2025-12-04T08:57:30.0900257Z * [new tag] ciflow/rocm/167536 -> ciflow/rocm/167536 2025-12-04T08:57:30.0900727Z * [new tag] ciflow/rocm/167781 -> ciflow/rocm/167781 2025-12-04T08:57:30.0901495Z * [new tag] ciflow/rocm/167989 -> ciflow/rocm/167989 2025-12-04T08:57:30.0902233Z * [new tag] ciflow/rocm/168073 -> ciflow/rocm/168073 2025-12-04T08:57:30.0902849Z * [new tag] ciflow/rocm/168195 -> ciflow/rocm/168195 2025-12-04T08:57:30.0903427Z * [new tag] ciflow/rocm/168939 -> ciflow/rocm/168939 2025-12-04T08:57:30.0903994Z * [new tag] ciflow/rocm/168971 -> ciflow/rocm/168971 2025-12-04T08:57:30.0904591Z * [new tag] ciflow/rocm/169024 -> ciflow/rocm/169024 2025-12-04T08:57:30.0905464Z * [new tag] ciflow/rocm/169200 -> ciflow/rocm/169200 2025-12-04T08:57:30.0905962Z * [new tag] ciflow/rocm/169216 -> ciflow/rocm/169216 2025-12-04T08:57:30.0906569Z * [new tag] ciflow/rocm/169312 -> ciflow/rocm/169312 2025-12-04T08:57:30.0907169Z * [new tag] ciflow/rocm/169380 -> ciflow/rocm/169380 2025-12-04T08:57:30.0907733Z * [new tag] ciflow/rocm/169427 -> ciflow/rocm/169427 2025-12-04T08:57:30.0908287Z * [new tag] ciflow/rocm/169455 -> ciflow/rocm/169455 2025-12-04T08:57:30.0908852Z * [new tag] ciflow/rocm/169470 -> ciflow/rocm/169470 2025-12-04T08:57:30.0909401Z * [new tag] ciflow/rocm/169471 -> ciflow/rocm/169471 2025-12-04T08:57:30.0909942Z * [new tag] ciflow/rocm/169472 -> ciflow/rocm/169472 2025-12-04T08:57:30.0910486Z * [new tag] ciflow/rocm/169514 -> ciflow/rocm/169514 2025-12-04T08:57:30.0911366Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-12-04T08:57:30.0911968Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-12-04T08:57:30.0913103Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-12-04T08:57:30.0913521Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-12-04T08:57:30.0914035Z * [new tag] ciflow/slow/167207 -> ciflow/slow/167207 2025-12-04T08:57:30.0914540Z * [new tag] ciflow/slow/168050 -> ciflow/slow/168050 2025-12-04T08:57:30.0915276Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-12-04T08:57:30.0915998Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-12-04T08:57:30.0916885Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-12-04T08:57:30.0918071Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-12-04T08:57:30.0918808Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-12-04T08:57:30.0919552Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-12-04T08:57:30.0920250Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-12-04T08:57:30.0921111Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-12-04T08:57:30.0922068Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-12-04T08:57:30.0922425Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-12-04T08:57:30.0923177Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-12-04T08:57:30.0923736Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-12-04T08:57:30.0924535Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-12-04T08:57:30.0925297Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-12-04T08:57:30.0926448Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-12-04T08:57:30.0926815Z * [new tag] ciflow/torchbench/168175 -> ciflow/torchbench/168175 2025-12-04T08:57:30.0927418Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-12-04T08:57:30.0927967Z * [new tag] ciflow/trunk/157149 -> ciflow/trunk/157149 2025-12-04T08:57:30.0928487Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-12-04T08:57:30.0929024Z * [new tag] ciflow/trunk/159718 -> ciflow/trunk/159718 2025-12-04T08:57:30.0929790Z * [new tag] ciflow/trunk/160685 -> ciflow/trunk/160685 2025-12-04T08:57:30.0932202Z * [new tag] ciflow/trunk/160729 -> ciflow/trunk/160729 2025-12-04T08:57:30.0933131Z * [new tag] ciflow/trunk/162275 -> ciflow/trunk/162275 2025-12-04T08:57:30.0933664Z * [new tag] ciflow/trunk/162795 -> ciflow/trunk/162795 2025-12-04T08:57:30.0934243Z * [new tag] ciflow/trunk/163245 -> ciflow/trunk/163245 2025-12-04T08:57:30.0934830Z * [new tag] ciflow/trunk/163942 -> ciflow/trunk/163942 2025-12-04T08:57:30.0935311Z * [new tag] ciflow/trunk/165274 -> ciflow/trunk/165274 2025-12-04T08:57:30.0936364Z * [new tag] ciflow/trunk/165483 -> ciflow/trunk/165483 2025-12-04T08:57:30.0937052Z * [new tag] ciflow/trunk/165728 -> ciflow/trunk/165728 2025-12-04T08:57:30.0937752Z * [new tag] ciflow/trunk/165922 -> ciflow/trunk/165922 2025-12-04T08:57:30.0938370Z * [new tag] ciflow/trunk/166075 -> ciflow/trunk/166075 2025-12-04T08:57:30.0938985Z * [new tag] ciflow/trunk/166165 -> ciflow/trunk/166165 2025-12-04T08:57:30.0939550Z * [new tag] ciflow/trunk/166829 -> ciflow/trunk/166829 2025-12-04T08:57:30.0940349Z * [new tag] ciflow/trunk/166843 -> ciflow/trunk/166843 2025-12-04T08:57:30.0940860Z * [new tag] ciflow/trunk/166876 -> ciflow/trunk/166876 2025-12-04T08:57:30.0941409Z * [new tag] ciflow/trunk/167207 -> ciflow/trunk/167207 2025-12-04T08:57:30.0941989Z * [new tag] ciflow/trunk/167536 -> ciflow/trunk/167536 2025-12-04T08:57:30.0942519Z * [new tag] ciflow/trunk/167552 -> ciflow/trunk/167552 2025-12-04T08:57:30.0943102Z * [new tag] ciflow/trunk/167555 -> ciflow/trunk/167555 2025-12-04T08:57:30.0943655Z * [new tag] ciflow/trunk/167599 -> ciflow/trunk/167599 2025-12-04T08:57:30.0944251Z * [new tag] ciflow/trunk/167659 -> ciflow/trunk/167659 2025-12-04T08:57:30.0945017Z * [new tag] ciflow/trunk/167672 -> ciflow/trunk/167672 2025-12-04T08:57:30.0945811Z * [new tag] ciflow/trunk/167742 -> ciflow/trunk/167742 2025-12-04T08:57:30.0946332Z * [new tag] ciflow/trunk/167781 -> ciflow/trunk/167781 2025-12-04T08:57:30.0947107Z * [new tag] ciflow/trunk/167837 -> ciflow/trunk/167837 2025-12-04T08:57:30.0947634Z * [new tag] ciflow/trunk/167887 -> ciflow/trunk/167887 2025-12-04T08:57:30.0948190Z * [new tag] ciflow/trunk/167978 -> ciflow/trunk/167978 2025-12-04T08:57:30.0948713Z * [new tag] ciflow/trunk/168050 -> ciflow/trunk/168050 2025-12-04T08:57:30.0949262Z * [new tag] ciflow/trunk/168051 -> ciflow/trunk/168051 2025-12-04T08:57:30.0949883Z * [new tag] ciflow/trunk/168096 -> ciflow/trunk/168096 2025-12-04T08:57:30.0950396Z * [new tag] ciflow/trunk/168127 -> ciflow/trunk/168127 2025-12-04T08:57:30.0950927Z * [new tag] ciflow/trunk/168157 -> ciflow/trunk/168157 2025-12-04T08:57:30.0951469Z * [new tag] ciflow/trunk/168175 -> ciflow/trunk/168175 2025-12-04T08:57:30.0951997Z * [new tag] ciflow/trunk/168209 -> ciflow/trunk/168209 2025-12-04T08:57:30.0952763Z * [new tag] ciflow/trunk/168213 -> ciflow/trunk/168213 2025-12-04T08:57:30.0953350Z * [new tag] ciflow/trunk/168226 -> ciflow/trunk/168226 2025-12-04T08:57:30.0953906Z * [new tag] ciflow/trunk/168262 -> ciflow/trunk/168262 2025-12-04T08:57:30.0954450Z * [new tag] ciflow/trunk/168275 -> ciflow/trunk/168275 2025-12-04T08:57:30.0955072Z * [new tag] ciflow/trunk/168328 -> ciflow/trunk/168328 2025-12-04T08:57:30.0955731Z * [new tag] ciflow/trunk/168368 -> ciflow/trunk/168368 2025-12-04T08:57:30.0956270Z * [new tag] ciflow/trunk/168917 -> ciflow/trunk/168917 2025-12-04T08:57:30.0956834Z * [new tag] ciflow/trunk/168933 -> ciflow/trunk/168933 2025-12-04T08:57:30.0957578Z * [new tag] ciflow/trunk/168941 -> ciflow/trunk/168941 2025-12-04T08:57:30.0958032Z * [new tag] ciflow/trunk/168955 -> ciflow/trunk/168955 2025-12-04T08:57:30.0958603Z * [new tag] ciflow/trunk/168980 -> ciflow/trunk/168980 2025-12-04T08:57:30.0959333Z * [new tag] ciflow/trunk/169004 -> ciflow/trunk/169004 2025-12-04T08:57:30.0959889Z * [new tag] ciflow/trunk/169006 -> ciflow/trunk/169006 2025-12-04T08:57:30.0960433Z * [new tag] ciflow/trunk/169023 -> ciflow/trunk/169023 2025-12-04T08:57:30.0960949Z * [new tag] ciflow/trunk/169025 -> ciflow/trunk/169025 2025-12-04T08:57:30.0961501Z * [new tag] ciflow/trunk/169048 -> ciflow/trunk/169048 2025-12-04T08:57:30.0962071Z * [new tag] ciflow/trunk/169066 -> ciflow/trunk/169066 2025-12-04T08:57:30.0962615Z * [new tag] ciflow/trunk/169091 -> ciflow/trunk/169091 2025-12-04T08:57:30.0963153Z * [new tag] ciflow/trunk/169102 -> ciflow/trunk/169102 2025-12-04T08:57:30.0963704Z * [new tag] ciflow/trunk/169103 -> ciflow/trunk/169103 2025-12-04T08:57:30.0964331Z * [new tag] ciflow/trunk/169125 -> ciflow/trunk/169125 2025-12-04T08:57:30.0965080Z * [new tag] ciflow/trunk/169139 -> ciflow/trunk/169139 2025-12-04T08:57:30.0965627Z * [new tag] ciflow/trunk/169148 -> ciflow/trunk/169148 2025-12-04T08:57:30.0966178Z * [new tag] ciflow/trunk/169151 -> ciflow/trunk/169151 2025-12-04T08:57:30.0966742Z * [new tag] ciflow/trunk/169156 -> ciflow/trunk/169156 2025-12-04T08:57:30.0967494Z * [new tag] ciflow/trunk/169176 -> ciflow/trunk/169176 2025-12-04T08:57:30.0967990Z * [new tag] ciflow/trunk/169204 -> ciflow/trunk/169204 2025-12-04T08:57:30.0968530Z * [new tag] ciflow/trunk/169207 -> ciflow/trunk/169207 2025-12-04T08:57:30.0969085Z * [new tag] ciflow/trunk/169211 -> ciflow/trunk/169211 2025-12-04T08:57:30.0969814Z * [new tag] ciflow/trunk/169229 -> ciflow/trunk/169229 2025-12-04T08:57:30.0970601Z * [new tag] ciflow/trunk/169231 -> ciflow/trunk/169231 2025-12-04T08:57:30.0971096Z * [new tag] ciflow/trunk/169260 -> ciflow/trunk/169260 2025-12-04T08:57:30.0972413Z * [new tag] ciflow/trunk/169271 -> ciflow/trunk/169271 2025-12-04T08:57:30.0972984Z * [new tag] ciflow/trunk/169280 -> ciflow/trunk/169280 2025-12-04T08:57:30.0973529Z * [new tag] ciflow/trunk/169281 -> ciflow/trunk/169281 2025-12-04T08:57:30.0974107Z * [new tag] ciflow/trunk/169286 -> ciflow/trunk/169286 2025-12-04T08:57:30.0974914Z * [new tag] ciflow/trunk/169293 -> ciflow/trunk/169293 2025-12-04T08:57:30.0975562Z * [new tag] ciflow/trunk/169296 -> ciflow/trunk/169296 2025-12-04T08:57:30.0976180Z * [new tag] ciflow/trunk/169304 -> ciflow/trunk/169304 2025-12-04T08:57:30.0976771Z * [new tag] ciflow/trunk/169305 -> ciflow/trunk/169305 2025-12-04T08:57:30.0977361Z * [new tag] ciflow/trunk/169312 -> ciflow/trunk/169312 2025-12-04T08:57:30.0978350Z * [new tag] ciflow/trunk/169328 -> ciflow/trunk/169328 2025-12-04T08:57:30.0978867Z * [new tag] ciflow/trunk/169343 -> ciflow/trunk/169343 2025-12-04T08:57:30.0979477Z * [new tag] ciflow/trunk/169355 -> ciflow/trunk/169355 2025-12-04T08:57:30.0980068Z * [new tag] ciflow/trunk/169370 -> ciflow/trunk/169370 2025-12-04T08:57:30.0980795Z * [new tag] ciflow/trunk/169379 -> ciflow/trunk/169379 2025-12-04T08:57:30.0981391Z * [new tag] ciflow/trunk/169380 -> ciflow/trunk/169380 2025-12-04T08:57:30.0981919Z * [new tag] ciflow/trunk/169385 -> ciflow/trunk/169385 2025-12-04T08:57:30.0982515Z * [new tag] ciflow/trunk/169387 -> ciflow/trunk/169387 2025-12-04T08:57:30.0983243Z * [new tag] ciflow/trunk/169410 -> ciflow/trunk/169410 2025-12-04T08:57:30.0983751Z * [new tag] ciflow/trunk/169412 -> ciflow/trunk/169412 2025-12-04T08:57:30.0984317Z * [new tag] ciflow/trunk/169418 -> ciflow/trunk/169418 2025-12-04T08:57:30.0985023Z * [new tag] ciflow/trunk/169423 -> ciflow/trunk/169423 2025-12-04T08:57:30.0985678Z * [new tag] ciflow/trunk/169427 -> ciflow/trunk/169427 2025-12-04T08:57:30.0986277Z * [new tag] ciflow/trunk/169430 -> ciflow/trunk/169430 2025-12-04T08:57:30.0986827Z * [new tag] ciflow/trunk/169437 -> ciflow/trunk/169437 2025-12-04T08:57:30.0987382Z * [new tag] ciflow/trunk/169442 -> ciflow/trunk/169442 2025-12-04T08:57:30.0987933Z * [new tag] ciflow/trunk/169452 -> ciflow/trunk/169452 2025-12-04T08:57:30.0988484Z * [new tag] ciflow/trunk/169454 -> ciflow/trunk/169454 2025-12-04T08:57:30.0989016Z * [new tag] ciflow/trunk/169459 -> ciflow/trunk/169459 2025-12-04T08:57:30.0989687Z * [new tag] ciflow/trunk/169474 -> ciflow/trunk/169474 2025-12-04T08:57:30.0990220Z * [new tag] ciflow/trunk/169475 -> ciflow/trunk/169475 2025-12-04T08:57:30.0990789Z * [new tag] ciflow/trunk/169476 -> ciflow/trunk/169476 2025-12-04T08:57:30.0991401Z * [new tag] ciflow/trunk/169487 -> ciflow/trunk/169487 2025-12-04T08:57:30.0991979Z * [new tag] ciflow/trunk/169497 -> ciflow/trunk/169497 2025-12-04T08:57:30.0992562Z * [new tag] ciflow/trunk/169503 -> ciflow/trunk/169503 2025-12-04T08:57:30.0993109Z * [new tag] ciflow/trunk/169505 -> ciflow/trunk/169505 2025-12-04T08:57:30.0993668Z * [new tag] ciflow/trunk/169507 -> ciflow/trunk/169507 2025-12-04T08:57:30.0994177Z * [new tag] ciflow/trunk/169514 -> ciflow/trunk/169514 2025-12-04T08:57:30.0994838Z * [new tag] ciflow/trunk/169517 -> ciflow/trunk/169517 2025-12-04T08:57:30.0995410Z * [new tag] ciflow/trunk/169519 -> ciflow/trunk/169519 2025-12-04T08:57:30.0995925Z * [new tag] ciflow/trunk/169528 -> ciflow/trunk/169528 2025-12-04T08:57:30.0996482Z * [new tag] ciflow/trunk/169541 -> ciflow/trunk/169541 2025-12-04T08:57:30.0997201Z * [new tag] ciflow/trunk/169555 -> ciflow/trunk/169555 2025-12-04T08:57:30.0998115Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-12-04T08:57:30.0998715Z * [new tag] ciflow/vllm/165270 -> ciflow/vllm/165270 2025-12-04T08:57:30.0999248Z * [new tag] ciflow/vllm/165274 -> ciflow/vllm/165274 2025-12-04T08:57:30.0999758Z * [new tag] ciflow/vllm/166494 -> ciflow/vllm/166494 2025-12-04T08:57:30.1000266Z * [new tag] ciflow/vllm/169219 -> ciflow/vllm/169219 2025-12-04T08:57:30.1000785Z * [new tag] ciflow/vllm/169220 -> ciflow/vllm/169220 2025-12-04T08:57:30.1001520Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-12-04T08:57:30.1002003Z * [new tag] ciflow/xpu/159718 -> ciflow/xpu/159718 2025-12-04T08:57:30.1002502Z * [new tag] ciflow/xpu/161940 -> ciflow/xpu/161940 2025-12-04T08:57:30.1003130Z * [new tag] ciflow/xpu/163251 -> ciflow/xpu/163251 2025-12-04T08:57:30.1003624Z * [new tag] ciflow/xpu/166829 -> ciflow/xpu/166829 2025-12-04T08:57:30.1004567Z * [new tag] ciflow/xpu/166843 -> ciflow/xpu/166843 2025-12-04T08:57:30.1005008Z * [new tag] ciflow/xpu/167972 -> ciflow/xpu/167972 2025-12-04T08:57:30.1005520Z * [new tag] ciflow/xpu/167981 -> ciflow/xpu/167981 2025-12-04T08:57:30.1006028Z * [new tag] ciflow/xpu/168213 -> ciflow/xpu/168213 2025-12-04T08:57:30.1006539Z * [new tag] ciflow/xpu/168262 -> ciflow/xpu/168262 2025-12-04T08:57:30.1007066Z * [new tag] ciflow/xpu/168328 -> ciflow/xpu/168328 2025-12-04T08:57:30.1007814Z * [new tag] ciflow/xpu/168950 -> ciflow/xpu/168950 2025-12-04T08:57:30.1008649Z * [new tag] ciflow/xpu/169039 -> ciflow/xpu/169039 2025-12-04T08:57:30.1009478Z * [new tag] ciflow/xpu/169200 -> ciflow/xpu/169200 2025-12-04T08:57:30.1009763Z * [new tag] ciflow/xpu/169203 -> ciflow/xpu/169203 2025-12-04T08:57:30.1010374Z * [new tag] ciflow/xpu/169229 -> ciflow/xpu/169229 2025-12-04T08:57:30.1010888Z * [new tag] ciflow/xpu/169230 -> ciflow/xpu/169230 2025-12-04T08:57:30.1011383Z * [new tag] ciflow/xpu/169231 -> ciflow/xpu/169231 2025-12-04T08:57:30.1012214Z * [new tag] ciflow/xpu/169241 -> ciflow/xpu/169241 2025-12-04T08:57:30.1012762Z * [new tag] ciflow/xpu/169280 -> ciflow/xpu/169280 2025-12-04T08:57:30.1013351Z * [new tag] ciflow/xpu/169296 -> ciflow/xpu/169296 2025-12-04T08:57:30.1014029Z * [new tag] ciflow/xpu/169353 -> ciflow/xpu/169353 2025-12-04T08:57:30.1014624Z * [new tag] ciflow/xpu/169410 -> ciflow/xpu/169410 2025-12-04T08:57:30.1015218Z * [new tag] ciflow/xpu/169442 -> ciflow/xpu/169442 2025-12-04T08:57:30.1015809Z * [new tag] ciflow/xpu/169555 -> ciflow/xpu/169555 2025-12-04T08:57:30.1016599Z * [new tag] cslpull75 -> cslpull75 2025-12-04T08:57:30.1017324Z * [new tag] cslpull76 -> cslpull76 2025-12-04T08:57:30.1017942Z * [new tag] cslpull77 -> cslpull77 2025-12-04T08:57:30.1018605Z * [new tag] cslpull78 -> cslpull78 2025-12-04T08:57:30.1019633Z * [new tag] cslpull79 -> cslpull79 2025-12-04T08:57:30.1020422Z * [new tag] cslpull80 -> cslpull80 2025-12-04T08:57:30.1021164Z * [new tag] cslpull81 -> cslpull81 2025-12-04T08:57:30.1021923Z * [new tag] cslpull82 -> cslpull82 2025-12-04T08:57:30.1022504Z * [new tag] cslpull83 -> cslpull83 2025-12-04T08:57:30.1023333Z * [new tag] cslpull84 -> cslpull84 2025-12-04T08:57:30.1023740Z * [new tag] cslpull85 -> cslpull85 2025-12-04T08:57:30.1024467Z * [new tag] cslpull86 -> cslpull86 2025-12-04T08:57:30.1025367Z * [new tag] cslpull87 -> cslpull87 2025-12-04T08:57:30.1026033Z * [new tag] cslpull88 -> cslpull88 2025-12-04T08:57:30.1026755Z * [new tag] cslpull89 -> cslpull89 2025-12-04T08:57:30.1027278Z * [new tag] cslpull90 -> cslpull90 2025-12-04T08:57:30.1028324Z * [new tag] cslpull91 -> cslpull91 2025-12-04T08:57:30.1028878Z * [new tag] cslpull92 -> cslpull92 2025-12-04T08:57:30.1029778Z * [new tag] flight_5 -> flight_5 2025-12-04T08:57:30.1034795Z * [new tag] flight_5.1 -> flight_5.1 2025-12-04T08:57:30.1035481Z * [new tag] flight_5.2 -> flight_5.2 2025-12-04T08:57:30.1036071Z * [new tag] flight_5.3 -> flight_5.3 2025-12-04T08:57:30.1036878Z * [new tag] forpull1 -> forpull1 2025-12-04T08:57:30.1037537Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-12-04T08:57:30.1037927Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-12-04T08:57:30.1038586Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-12-04T08:57:30.1039147Z * [new tag] nightly-binary -> nightly-binary 2025-12-04T08:57:30.1039591Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-12-04T08:57:30.1040399Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-12-04T08:57:30.1041216Z * [new tag] trunk/02d8bd6974cf84b721680d773dbdb1b6f40ce272 -> trunk/02d8bd6974cf84b721680d773dbdb1b6f40ce272 2025-12-04T08:57:30.1041548Z * [new tag] trunk/066997fb38ade71e00d78e9d572e380b5f02bd3e -> trunk/066997fb38ade71e00d78e9d572e380b5f02bd3e 2025-12-04T08:57:30.1042510Z * [new tag] trunk/076e7b19fa1d481ad778d06d2b49ba57d3ce8c88 -> trunk/076e7b19fa1d481ad778d06d2b49ba57d3ce8c88 2025-12-04T08:57:30.1042956Z * [new tag] trunk/07dcc0b83db3211653a38565a24e15acdba75654 -> trunk/07dcc0b83db3211653a38565a24e15acdba75654 2025-12-04T08:57:30.1043493Z * [new tag] trunk/082e96b68dfcd16cab7cfafc4d3d055767dab3eb -> trunk/082e96b68dfcd16cab7cfafc4d3d055767dab3eb 2025-12-04T08:57:30.1043955Z * [new tag] trunk/088048f2fea28ff7d450f65c72419ca45780d30b -> trunk/088048f2fea28ff7d450f65c72419ca45780d30b 2025-12-04T08:57:30.1044441Z * [new tag] trunk/09076941a95c76f4d9ad189d064dfd8baa39e672 -> trunk/09076941a95c76f4d9ad189d064dfd8baa39e672 2025-12-04T08:57:30.1044961Z * [new tag] trunk/0b80a4c62b94402844bf221791c096b0035c6d75 -> trunk/0b80a4c62b94402844bf221791c096b0035c6d75 2025-12-04T08:57:30.1045682Z * [new tag] trunk/0bbbdf1750567a980634ad907a325357ba8ba8f2 -> trunk/0bbbdf1750567a980634ad907a325357ba8ba8f2 2025-12-04T08:57:30.1046216Z * [new tag] trunk/0c281dd78773b2bc17c58ead0e4cd4ac46e775c5 -> trunk/0c281dd78773b2bc17c58ead0e4cd4ac46e775c5 2025-12-04T08:57:30.1046753Z * [new tag] trunk/135f3753c418a6879b1954904184937b67e61688 -> trunk/135f3753c418a6879b1954904184937b67e61688 2025-12-04T08:57:30.1047245Z * [new tag] trunk/15da21026cb13cd20257dc9e96830db108743c10 -> trunk/15da21026cb13cd20257dc9e96830db108743c10 2025-12-04T08:57:30.1047744Z * [new tag] trunk/166efdad2ac827f30fb02504c6017520257f88ec -> trunk/166efdad2ac827f30fb02504c6017520257f88ec 2025-12-04T08:57:30.1048228Z * [new tag] trunk/174272c15fae553d8488140af931f7d8050a313f -> trunk/174272c15fae553d8488140af931f7d8050a313f 2025-12-04T08:57:30.1048951Z * [new tag] trunk/18f3ca08f13b8de61307f5e8cd7d4cccb67e9d11 -> trunk/18f3ca08f13b8de61307f5e8cd7d4cccb67e9d11 2025-12-04T08:57:30.1049383Z * [new tag] trunk/1902eddfe655a15ebcf2c72bd81ade110fdeef63 -> trunk/1902eddfe655a15ebcf2c72bd81ade110fdeef63 2025-12-04T08:57:30.1049880Z * [new tag] trunk/195f92e98d3d66738577f11f22c4b5c8a1c76dd5 -> trunk/195f92e98d3d66738577f11f22c4b5c8a1c76dd5 2025-12-04T08:57:30.1050337Z * [new tag] trunk/1aa13e17de39e3c768ea7aebaad166ce72a06676 -> trunk/1aa13e17de39e3c768ea7aebaad166ce72a06676 2025-12-04T08:57:30.1050803Z * [new tag] trunk/1afe2832f58e24e54a5bfda5a5afa9b96fdea40e -> trunk/1afe2832f58e24e54a5bfda5a5afa9b96fdea40e 2025-12-04T08:57:30.1051252Z * [new tag] trunk/1c87554d74140eaee964ca8b1832cede67f5f520 -> trunk/1c87554d74140eaee964ca8b1832cede67f5f520 2025-12-04T08:57:30.1052097Z * [new tag] trunk/1ccb743b7b5be955f49736c162c4f5004b8a0dd8 -> trunk/1ccb743b7b5be955f49736c162c4f5004b8a0dd8 2025-12-04T08:57:30.1052392Z * [new tag] trunk/1cee47d6ce0a02227185b566593f002dd639ca0c -> trunk/1cee47d6ce0a02227185b566593f002dd639ca0c 2025-12-04T08:57:30.1052821Z * [new tag] trunk/1d21b4df2babe322e5d085ceb6de884eb260a62d -> trunk/1d21b4df2babe322e5d085ceb6de884eb260a62d 2025-12-04T08:57:30.1053388Z * [new tag] trunk/1e34fb2550e4aa650314f7a6d9f6daf4da7478a8 -> trunk/1e34fb2550e4aa650314f7a6d9f6daf4da7478a8 2025-12-04T08:57:30.1054109Z * [new tag] trunk/1e526fb5b1d93bfc70691c5c3955fdffc1b7b7de -> trunk/1e526fb5b1d93bfc70691c5c3955fdffc1b7b7de 2025-12-04T08:57:30.1054521Z * [new tag] trunk/1ee32a8b1f554a312d79bad01ded24f38cd95543 -> trunk/1ee32a8b1f554a312d79bad01ded24f38cd95543 2025-12-04T08:57:30.1055054Z * [new tag] trunk/201e2c4117eb9744594dad6a5c18213d7b4705d7 -> trunk/201e2c4117eb9744594dad6a5c18213d7b4705d7 2025-12-04T08:57:30.1055599Z * [new tag] trunk/2353a0f60eb4b4cb6675907a7fa9fbedc1c02e7f -> trunk/2353a0f60eb4b4cb6675907a7fa9fbedc1c02e7f 2025-12-04T08:57:30.1056417Z * [new tag] trunk/285779b1621cf9f073a062b0889a642d200308d9 -> trunk/285779b1621cf9f073a062b0889a642d200308d9 2025-12-04T08:57:30.1059405Z * [new tag] trunk/2887faaec6295d081580d09fce161201826c6d87 -> trunk/2887faaec6295d081580d09fce161201826c6d87 2025-12-04T08:57:30.1059810Z * [new tag] trunk/296e67c92635443c67b11c0ae1bd045f03ebb7bc -> trunk/296e67c92635443c67b11c0ae1bd045f03ebb7bc 2025-12-04T08:57:30.1060081Z * [new tag] trunk/29856679769b3dede478767e2fe6cfb51197cb25 -> trunk/29856679769b3dede478767e2fe6cfb51197cb25 2025-12-04T08:57:30.1060318Z * [new tag] trunk/29e5455a4740c326ab187c7aa7b5ef98034ea563 -> trunk/29e5455a4740c326ab187c7aa7b5ef98034ea563 2025-12-04T08:57:30.1060643Z * [new tag] trunk/2ac3ef882afb23136adc188975f0a8802fc68adf -> trunk/2ac3ef882afb23136adc188975f0a8802fc68adf 2025-12-04T08:57:30.1060989Z * [new tag] trunk/2bec68e73b64715354af076ad309335f943e36cd -> trunk/2bec68e73b64715354af076ad309335f943e36cd 2025-12-04T08:57:30.1061287Z * [new tag] trunk/2c87367e6f88662cd5cedbd1537748b7948c38e1 -> trunk/2c87367e6f88662cd5cedbd1537748b7948c38e1 2025-12-04T08:57:30.1061728Z * [new tag] trunk/2d1f78fe3ec13820f136a2e0336da12a25f41708 -> trunk/2d1f78fe3ec13820f136a2e0336da12a25f41708 2025-12-04T08:57:30.1062066Z * [new tag] trunk/2df6058f116a65722a0e03073402feb242572d35 -> trunk/2df6058f116a65722a0e03073402feb242572d35 2025-12-04T08:57:30.1062387Z * [new tag] trunk/2e0c2e170fe658c440775c8e5c44228aafcc47ec -> trunk/2e0c2e170fe658c440775c8e5c44228aafcc47ec 2025-12-04T08:57:30.1062735Z * [new tag] trunk/2f9b7dad7b5419b063bd0f2e204de192720ebb94 -> trunk/2f9b7dad7b5419b063bd0f2e204de192720ebb94 2025-12-04T08:57:30.1063176Z * [new tag] trunk/305168768a95d69c444df5cd334bb774edfe06f1 -> trunk/305168768a95d69c444df5cd334bb774edfe06f1 2025-12-04T08:57:30.1063711Z * [new tag] trunk/31fc12773026e8e00f054dd79ad9b2491e693b48 -> trunk/31fc12773026e8e00f054dd79ad9b2491e693b48 2025-12-04T08:57:30.1064192Z * [new tag] trunk/320de0c6b0a3e7c6d2693ea5c28d5d0156ba7991 -> trunk/320de0c6b0a3e7c6d2693ea5c28d5d0156ba7991 2025-12-04T08:57:30.1064780Z * [new tag] trunk/3418bd29475dff06695045fcdf93e7d0dac67da8 -> trunk/3418bd29475dff06695045fcdf93e7d0dac67da8 2025-12-04T08:57:30.1065341Z * [new tag] trunk/34a98608afa0cb5b48f0d6d30432fdd0a2614ddf -> trunk/34a98608afa0cb5b48f0d6d30432fdd0a2614ddf 2025-12-04T08:57:30.1065867Z * [new tag] trunk/35b7a9a26c5923d98aebaa41a031dae21788a9ee -> trunk/35b7a9a26c5923d98aebaa41a031dae21788a9ee 2025-12-04T08:57:30.1066432Z * [new tag] trunk/39d07dbf03a911bdd45d1af78d8638dc92074938 -> trunk/39d07dbf03a911bdd45d1af78d8638dc92074938 2025-12-04T08:57:30.1066876Z * [new tag] trunk/3cd98b4205ada151042cc7ff097a82d4a4b18725 -> trunk/3cd98b4205ada151042cc7ff097a82d4a4b18725 2025-12-04T08:57:30.1067333Z * [new tag] trunk/3d35fd20a78ff4d016fa80f4e5fad37191d7bcae -> trunk/3d35fd20a78ff4d016fa80f4e5fad37191d7bcae 2025-12-04T08:57:30.1067819Z * [new tag] trunk/409a5fee945c46a3edaf5df162812f201bfd7b2f -> trunk/409a5fee945c46a3edaf5df162812f201bfd7b2f 2025-12-04T08:57:30.1068314Z * [new tag] trunk/42e9005cda22da3f1c559c3649218cebd671027c -> trunk/42e9005cda22da3f1c559c3649218cebd671027c 2025-12-04T08:57:30.1068790Z * [new tag] trunk/43b94713bbf340d3c124fde02d0f73add4021247 -> trunk/43b94713bbf340d3c124fde02d0f73add4021247 2025-12-04T08:57:30.1069271Z * [new tag] trunk/44ac69388a4a5eb463dbd2a13f00d1e3b924566c -> trunk/44ac69388a4a5eb463dbd2a13f00d1e3b924566c 2025-12-04T08:57:30.1069730Z * [new tag] trunk/45d14e2497292be06ad36eaa1aaaf7c630a2586a -> trunk/45d14e2497292be06ad36eaa1aaaf7c630a2586a 2025-12-04T08:57:30.1070169Z * [new tag] trunk/45d310ad84854dff730c0b12e577d7998d978686 -> trunk/45d310ad84854dff730c0b12e577d7998d978686 2025-12-04T08:57:30.1070877Z * [new tag] trunk/47b28ddf7bd74b50fa93b307a7d3b183a6d77f54 -> trunk/47b28ddf7bd74b50fa93b307a7d3b183a6d77f54 2025-12-04T08:57:30.1071252Z * [new tag] trunk/481e5ab336275bd3acd5fa8a611b05b4469012af -> trunk/481e5ab336275bd3acd5fa8a611b05b4469012af 2025-12-04T08:57:30.1071771Z * [new tag] trunk/491731647f6b8a9345dcfb3bc9416aea254a7d96 -> trunk/491731647f6b8a9345dcfb3bc9416aea254a7d96 2025-12-04T08:57:30.1072265Z * [new tag] trunk/49a04d26088acc17d948ddd66920f3e16371e873 -> trunk/49a04d26088acc17d948ddd66920f3e16371e873 2025-12-04T08:57:30.1072781Z * [new tag] trunk/4bebc827c47d2f1f0fa1a417a5201a97aef3d985 -> trunk/4bebc827c47d2f1f0fa1a417a5201a97aef3d985 2025-12-04T08:57:30.1073123Z * [new tag] trunk/4c246677784c6a14bc2dbb9ff8773ef0a3a3222f -> trunk/4c246677784c6a14bc2dbb9ff8773ef0a3a3222f 2025-12-04T08:57:30.1073770Z * [new tag] trunk/4cfb47ff548b6d996641058cf04a70e311a4c3aa -> trunk/4cfb47ff548b6d996641058cf04a70e311a4c3aa 2025-12-04T08:57:30.1074306Z * [new tag] trunk/4e0061c1aa52f606dda8cfab0bd7591e588faf2c -> trunk/4e0061c1aa52f606dda8cfab0bd7591e588faf2c 2025-12-04T08:57:30.1075259Z * [new tag] trunk/4fefb8e7e942386ffac764a41b232241f82bea3a -> trunk/4fefb8e7e942386ffac764a41b232241f82bea3a 2025-12-04T08:57:30.1075667Z * [new tag] trunk/503b2640023521f5a35cd9a52fc8033d73a95d0d -> trunk/503b2640023521f5a35cd9a52fc8033d73a95d0d 2025-12-04T08:57:30.1076141Z * [new tag] trunk/518c2b1b3dab9a2ef2849e04b3bc2f20c1c41db9 -> trunk/518c2b1b3dab9a2ef2849e04b3bc2f20c1c41db9 2025-12-04T08:57:30.1076651Z * [new tag] trunk/5191b2fa68ba19960912bfd7fd721c79d76bb1f3 -> trunk/5191b2fa68ba19960912bfd7fd721c79d76bb1f3 2025-12-04T08:57:30.1077166Z * [new tag] trunk/52ac0f0dc4acacd219f1317fbc28ec631c01e07a -> trunk/52ac0f0dc4acacd219f1317fbc28ec631c01e07a 2025-12-04T08:57:30.1077681Z * [new tag] trunk/539ba711b029de9f191070f4f0d12f18f5b7f292 -> trunk/539ba711b029de9f191070f4f0d12f18f5b7f292 2025-12-04T08:57:30.1078183Z * [new tag] trunk/556375b55deebebbc56cb7aef81f4d52f031ba28 -> trunk/556375b55deebebbc56cb7aef81f4d52f031ba28 2025-12-04T08:57:30.1078721Z * [new tag] trunk/55c4ab554845481d0a69a3811937575fe8bb1a66 -> trunk/55c4ab554845481d0a69a3811937575fe8bb1a66 2025-12-04T08:57:30.1079218Z * [new tag] trunk/5634469fda9e5d98869c82c7d03bb08914245f96 -> trunk/5634469fda9e5d98869c82c7d03bb08914245f96 2025-12-04T08:57:30.1079587Z * [new tag] trunk/5778f6ff894686a975a9a23645178ae4c87ad5dc -> trunk/5778f6ff894686a975a9a23645178ae4c87ad5dc 2025-12-04T08:57:30.1080188Z * [new tag] trunk/587d63a3e07de5dc91065f9ef70bcacda9989068 -> trunk/587d63a3e07de5dc91065f9ef70bcacda9989068 2025-12-04T08:57:30.1080657Z * [new tag] trunk/597930f6b568852356ca9795dac76f9e4653adbd -> trunk/597930f6b568852356ca9795dac76f9e4653adbd 2025-12-04T08:57:30.1081074Z * [new tag] trunk/597df3a4e2a67b9fdbe1a89b2f4d74f822274db6 -> trunk/597df3a4e2a67b9fdbe1a89b2f4d74f822274db6 2025-12-04T08:57:30.1081671Z * [new tag] trunk/59abd50e931f4efb21b053f7a2911f5d8a49d883 -> trunk/59abd50e931f4efb21b053f7a2911f5d8a49d883 2025-12-04T08:57:30.1082136Z * [new tag] trunk/5a607febc04c3a2b5824c75f3f60307867439a2c -> trunk/5a607febc04c3a2b5824c75f3f60307867439a2c 2025-12-04T08:57:30.1082641Z * [new tag] trunk/5bf1cdf4755c54ef462b44cb8041b0a57311556b -> trunk/5bf1cdf4755c54ef462b44cb8041b0a57311556b 2025-12-04T08:57:30.1083004Z * [new tag] trunk/5f0030ba63d334d7e8c93a09e41403b89e4c573c -> trunk/5f0030ba63d334d7e8c93a09e41403b89e4c573c 2025-12-04T08:57:30.1083457Z * [new tag] trunk/5f21d27e71268464d362a96c9ac09ea475f7f202 -> trunk/5f21d27e71268464d362a96c9ac09ea475f7f202 2025-12-04T08:57:30.1084325Z * [new tag] trunk/5fafc13038c9988d9ac21fa793fbd5890604b447 -> trunk/5fafc13038c9988d9ac21fa793fbd5890604b447 2025-12-04T08:57:30.1084723Z * [new tag] trunk/61be54a31dc09b59d99b62176fb935aee0b924ef -> trunk/61be54a31dc09b59d99b62176fb935aee0b924ef 2025-12-04T08:57:30.1085233Z * [new tag] trunk/62d3ccd71484ed6a760d909b41487101bbc65719 -> trunk/62d3ccd71484ed6a760d909b41487101bbc65719 2025-12-04T08:57:30.1085685Z * [new tag] trunk/641cdb68ae27668eb441d0e49c87a0602c120c2b -> trunk/641cdb68ae27668eb441d0e49c87a0602c120c2b 2025-12-04T08:57:30.1086170Z * [new tag] trunk/65c4620d6bb0c6029f69762c22b91dda2294da9a -> trunk/65c4620d6bb0c6029f69762c22b91dda2294da9a 2025-12-04T08:57:30.1086681Z * [new tag] trunk/66004b993744b4106bf8afaba71f3c228a804206 -> trunk/66004b993744b4106bf8afaba71f3c228a804206 2025-12-04T08:57:30.1087172Z * [new tag] trunk/6658a04c7ca67acb64512341342e7b3ee13ee386 -> trunk/6658a04c7ca67acb64512341342e7b3ee13ee386 2025-12-04T08:57:30.1087646Z * [new tag] trunk/6864e309092a71f8ab0ca6a4dc7f8a4073fd31c4 -> trunk/6864e309092a71f8ab0ca6a4dc7f8a4073fd31c4 2025-12-04T08:57:30.1088155Z * [new tag] trunk/6c261c6cb07892c90ca19ed51c9705b1659a3f7d -> trunk/6c261c6cb07892c90ca19ed51c9705b1659a3f7d 2025-12-04T08:57:30.1088583Z * [new tag] trunk/6c8b6a043f1628188b6396b3a2a6e000ca68362b -> trunk/6c8b6a043f1628188b6396b3a2a6e000ca68362b 2025-12-04T08:57:30.1089049Z * [new tag] trunk/6ceb4a32f92ae67ce5d7d97931d17401ebf5ffa5 -> trunk/6ceb4a32f92ae67ce5d7d97931d17401ebf5ffa5 2025-12-04T08:57:30.1089515Z * [new tag] trunk/6e404e9b7d6f5fb0de86aa73888c3038248c17f8 -> trunk/6e404e9b7d6f5fb0de86aa73888c3038248c17f8 2025-12-04T08:57:30.1090022Z * [new tag] trunk/6ec30b490aee1db6bcdc7340abddef25784f08ec -> trunk/6ec30b490aee1db6bcdc7340abddef25784f08ec 2025-12-04T08:57:30.1090931Z * [new tag] trunk/6f2783a6c08e1db34275ff25176ffe9aebc30a71 -> trunk/6f2783a6c08e1db34275ff25176ffe9aebc30a71 2025-12-04T08:57:30.1091341Z * [new tag] trunk/6f53fefeb90ad3281119b5cfc4aa9ffd8a066e3d -> trunk/6f53fefeb90ad3281119b5cfc4aa9ffd8a066e3d 2025-12-04T08:57:30.1091904Z * [new tag] trunk/6f7dcf51e46d0c880db1a2f5c70de57adb576f4a -> trunk/6f7dcf51e46d0c880db1a2f5c70de57adb576f4a 2025-12-04T08:57:30.1092437Z * [new tag] trunk/6ff831180d2fa436c7f1c1af3adac641fce9d60e -> trunk/6ff831180d2fa436c7f1c1af3adac641fce9d60e 2025-12-04T08:57:30.1092958Z * [new tag] trunk/70076464a63ab218a7ceefb0e76ccd7131deb8f8 -> trunk/70076464a63ab218a7ceefb0e76ccd7131deb8f8 2025-12-04T08:57:30.1093459Z * [new tag] trunk/70d797a5fc109b20a517646fcaa819477cd0d485 -> trunk/70d797a5fc109b20a517646fcaa819477cd0d485 2025-12-04T08:57:30.1093949Z * [new tag] trunk/7348cb355ff0a6f79cd4871215aea72185748734 -> trunk/7348cb355ff0a6f79cd4871215aea72185748734 2025-12-04T08:57:30.1094469Z * [new tag] trunk/74fe26a1ebe32931783569f2e762e3c2c974901f -> trunk/74fe26a1ebe32931783569f2e762e3c2c974901f 2025-12-04T08:57:30.1095010Z * [new tag] trunk/76aeb8c7e0f795b3fddca134cbea9a69da3ee696 -> trunk/76aeb8c7e0f795b3fddca134cbea9a69da3ee696 2025-12-04T08:57:30.1095534Z * [new tag] trunk/7741edd4ed665f3988052e260863efb508d61a03 -> trunk/7741edd4ed665f3988052e260863efb508d61a03 2025-12-04T08:57:30.1096076Z * [new tag] trunk/78adb3b3df41b45d2368b67226d2f864b78939a6 -> trunk/78adb3b3df41b45d2368b67226d2f864b78939a6 2025-12-04T08:57:30.1096617Z * [new tag] trunk/79d7b178225e5ed24d4e1db74e5abbff848f5fb7 -> trunk/79d7b178225e5ed24d4e1db74e5abbff848f5fb7 2025-12-04T08:57:30.1097025Z * [new tag] trunk/7a1e316115fc6996b3f2336822ba5d5f6179f0c3 -> trunk/7a1e316115fc6996b3f2336822ba5d5f6179f0c3 2025-12-04T08:57:30.1097516Z * [new tag] trunk/7a41b66367c38d0af3e8a90f7be48d6b281e7bca -> trunk/7a41b66367c38d0af3e8a90f7be48d6b281e7bca 2025-12-04T08:57:30.1098053Z * [new tag] trunk/7b7af390ea8541c611d1ce2018a6934188fc197b -> trunk/7b7af390ea8541c611d1ce2018a6934188fc197b 2025-12-04T08:57:30.1098581Z * [new tag] trunk/7ba4680f3755a560af81aa0f688791e367aa3609 -> trunk/7ba4680f3755a560af81aa0f688791e367aa3609 2025-12-04T08:57:30.1099158Z * [new tag] trunk/7bc2a66ded06a0b2549aa51d807edc5dc3e73d1b -> trunk/7bc2a66ded06a0b2549aa51d807edc5dc3e73d1b 2025-12-04T08:57:30.1099647Z * [new tag] trunk/7c648509a7470ace9fb2bae960dd4790f7e943e9 -> trunk/7c648509a7470ace9fb2bae960dd4790f7e943e9 2025-12-04T08:57:30.1100056Z * [new tag] trunk/7cbc2d034cecd21ab5c9707d0a9c525c17143fb8 -> trunk/7cbc2d034cecd21ab5c9707d0a9c525c17143fb8 2025-12-04T08:57:30.1100580Z * [new tag] trunk/7d1bbaf4ba301ea3fba6f3c7bc02d58f6417aaed -> trunk/7d1bbaf4ba301ea3fba6f3c7bc02d58f6417aaed 2025-12-04T08:57:30.1101075Z * [new tag] trunk/7d2a33e4ebf60b217a3cd77feae19231eb996fc8 -> trunk/7d2a33e4ebf60b217a3cd77feae19231eb996fc8 2025-12-04T08:57:30.1101649Z * [new tag] trunk/7eb625920054b1126a7d2d99818aaa188c6ba95e -> trunk/7eb625920054b1126a7d2d99818aaa188c6ba95e 2025-12-04T08:57:30.1101999Z * [new tag] trunk/7f55ba19c456a3d6cc443dd9edb6bb7cca677ead -> trunk/7f55ba19c456a3d6cc443dd9edb6bb7cca677ead 2025-12-04T08:57:30.1102614Z * [new tag] trunk/81af382128efa094d8702e18f2c133760904c718 -> trunk/81af382128efa094d8702e18f2c133760904c718 2025-12-04T08:57:30.1103337Z * [new tag] trunk/84149583d483e9c973c9a0feda70e4f3964947b0 -> trunk/84149583d483e9c973c9a0feda70e4f3964947b0 2025-12-04T08:57:30.1104159Z * [new tag] trunk/85a315917efe82c24306be805c584ec044951c75 -> trunk/85a315917efe82c24306be805c584ec044951c75 2025-12-04T08:57:30.1104572Z * [new tag] trunk/87329491c82a5f8c1cc4ec11d8f55a5de2551ece -> trunk/87329491c82a5f8c1cc4ec11d8f55a5de2551ece 2025-12-04T08:57:30.1105067Z * [new tag] trunk/892640e25aeefa8007c5af837214b4502b6b62a6 -> trunk/892640e25aeefa8007c5af837214b4502b6b62a6 2025-12-04T08:57:30.1105970Z * [new tag] trunk/89e3bbcb5b5321dc8b9520b4d5a8ee60cea1d0b4 -> trunk/89e3bbcb5b5321dc8b9520b4d5a8ee60cea1d0b4 2025-12-04T08:57:30.1106358Z * [new tag] trunk/8c73bbbb02159223c0c97d268a0a74cb78158a1c -> trunk/8c73bbbb02159223c0c97d268a0a74cb78158a1c 2025-12-04T08:57:30.1106843Z * [new tag] trunk/8d56e98c8db988a22cb2dfaeefb30bc7d2a3cc43 -> trunk/8d56e98c8db988a22cb2dfaeefb30bc7d2a3cc43 2025-12-04T08:57:30.1107386Z * [new tag] trunk/8d9dd9603e5ee26c01007f0cd4f018e584840922 -> trunk/8d9dd9603e5ee26c01007f0cd4f018e584840922 2025-12-04T08:57:30.1107959Z * [new tag] trunk/8ef0c0b02b062d75e7c9be2594914a3e784d23ca -> trunk/8ef0c0b02b062d75e7c9be2594914a3e784d23ca 2025-12-04T08:57:30.1108495Z * [new tag] trunk/90b27e7e8352cde97d32ddad24740ef819633f38 -> trunk/90b27e7e8352cde97d32ddad24740ef819633f38 2025-12-04T08:57:30.1108889Z * [new tag] trunk/90f0139e64b2951815d524b6a373bed20c4fbf90 -> trunk/90f0139e64b2951815d524b6a373bed20c4fbf90 2025-12-04T08:57:30.1109318Z * [new tag] trunk/93d0d6838c56af59b0dba794e6aa08f0c1c7799c -> trunk/93d0d6838c56af59b0dba794e6aa08f0c1c7799c 2025-12-04T08:57:30.1109850Z * [new tag] trunk/94ca8d5f1e81fea3ae488650a0fb6795049a9f87 -> trunk/94ca8d5f1e81fea3ae488650a0fb6795049a9f87 2025-12-04T08:57:30.1110348Z * [new tag] trunk/9844fbeadd5cebdf1281d6fbf79164139c352693 -> trunk/9844fbeadd5cebdf1281d6fbf79164139c352693 2025-12-04T08:57:30.1110887Z * [new tag] trunk/99024dec888ec1e50b546822a32b6fb2f35e5eaa -> trunk/99024dec888ec1e50b546822a32b6fb2f35e5eaa 2025-12-04T08:57:30.1111388Z * [new tag] trunk/9a296e640fc88aa44d275b48cd9cc30c573b169d -> trunk/9a296e640fc88aa44d275b48cd9cc30c573b169d 2025-12-04T08:57:30.1111925Z * [new tag] trunk/9b3e34d8589b29f7b4e7fab6f78711b7ca6e4639 -> trunk/9b3e34d8589b29f7b4e7fab6f78711b7ca6e4639 2025-12-04T08:57:30.1112403Z * [new tag] trunk/9cd055e547e9b67a5f9827f8999c38d7eda1bcb8 -> trunk/9cd055e547e9b67a5f9827f8999c38d7eda1bcb8 2025-12-04T08:57:30.1112915Z * [new tag] trunk/9f0df5686cb4ada94f94620acba2e3c3f363b11d -> trunk/9f0df5686cb4ada94f94620acba2e3c3f363b11d 2025-12-04T08:57:30.1113471Z * [new tag] trunk/9f7fceb887d0cfa0326a59b887821c63ff11340a -> trunk/9f7fceb887d0cfa0326a59b887821c63ff11340a 2025-12-04T08:57:30.1113991Z * [new tag] trunk/9f8ef8855d3078d70f7b782540ff2aaf158d6742 -> trunk/9f8ef8855d3078d70f7b782540ff2aaf158d6742 2025-12-04T08:57:30.1114568Z * [new tag] trunk/9fb52efc797b47a1f425a03aa5e47b866d8b1098 -> trunk/9fb52efc797b47a1f425a03aa5e47b866d8b1098 2025-12-04T08:57:30.1115060Z * [new tag] trunk/9ff4a2ebc5762d46c73e46b1b523d7ff349fedfa -> trunk/9ff4a2ebc5762d46c73e46b1b523d7ff349fedfa 2025-12-04T08:57:30.1115572Z * [new tag] trunk/a0f3937b94422354538ebbd47202d5b0e8a3fd0d -> trunk/a0f3937b94422354538ebbd47202d5b0e8a3fd0d 2025-12-04T08:57:30.1116234Z * [new tag] trunk/a15066c28b3145e6edbfc88359d0411d14cfc70c -> trunk/a15066c28b3145e6edbfc88359d0411d14cfc70c 2025-12-04T08:57:30.1116737Z * [new tag] trunk/a20f775e82564d2a9979221ed7f3b8d7cf54ce90 -> trunk/a20f775e82564d2a9979221ed7f3b8d7cf54ce90 2025-12-04T08:57:30.1117236Z * [new tag] trunk/a2973fb00ec002dd4b6bbf07385f066efb259b8c -> trunk/a2973fb00ec002dd4b6bbf07385f066efb259b8c 2025-12-04T08:57:30.1117655Z * [new tag] trunk/a7dc6dab9ad911259d4801c502907e531594db45 -> trunk/a7dc6dab9ad911259d4801c502907e531594db45 2025-12-04T08:57:30.1118199Z * [new tag] trunk/a951a9cee65c01660bbc6e6fded90ecb10fa6109 -> trunk/a951a9cee65c01660bbc6e6fded90ecb10fa6109 2025-12-04T08:57:30.1118691Z * [new tag] trunk/abfa1a6d65c7c159e35c72c25979b9da4971689e -> trunk/abfa1a6d65c7c159e35c72c25979b9da4971689e 2025-12-04T08:57:30.1119175Z * [new tag] trunk/ae3a2395bf66151078e2d201716f7d63ce1c6f3e -> trunk/ae3a2395bf66151078e2d201716f7d63ce1c6f3e 2025-12-04T08:57:30.1119592Z * [new tag] trunk/afdff7f0325080dedac44d080cb5a3b0e65e6c5e -> trunk/afdff7f0325080dedac44d080cb5a3b0e65e6c5e 2025-12-04T08:57:30.1120008Z * [new tag] trunk/b1aed4e7a72c03a38f44543aaea0dae2e9b76d48 -> trunk/b1aed4e7a72c03a38f44543aaea0dae2e9b76d48 2025-12-04T08:57:30.1120519Z * [new tag] trunk/b1decff555cd50e2123c8c6e25cc0d447c411f62 -> trunk/b1decff555cd50e2123c8c6e25cc0d447c411f62 2025-12-04T08:57:30.1121061Z * [new tag] trunk/b2b6b034c9fd08672c40e63ef243556ad4c49bd2 -> trunk/b2b6b034c9fd08672c40e63ef243556ad4c49bd2 2025-12-04T08:57:30.1121566Z * [new tag] trunk/b39813b4a04931682b0491adba2138d01d716d99 -> trunk/b39813b4a04931682b0491adba2138d01d716d99 2025-12-04T08:57:30.1122096Z * [new tag] trunk/b3a7edb2311367974cc7cd764cfb11a5d6758b24 -> trunk/b3a7edb2311367974cc7cd764cfb11a5d6758b24 2025-12-04T08:57:30.1122639Z * [new tag] trunk/b4cc1329c86acaef6d42c1fac7169b8d870ab0d7 -> trunk/b4cc1329c86acaef6d42c1fac7169b8d870ab0d7 2025-12-04T08:57:30.1123159Z * [new tag] trunk/b555c39217f765759954a4f9f9bd1e9b87bed11a -> trunk/b555c39217f765759954a4f9f9bd1e9b87bed11a 2025-12-04T08:57:30.1123690Z * [new tag] trunk/b6b6c80379388b7f9932c3e6a0f9907bf430e417 -> trunk/b6b6c80379388b7f9932c3e6a0f9907bf430e417 2025-12-04T08:57:30.1124643Z * [new tag] trunk/b6b6d912df0b6f4082f8e50b18bd1de1dd7325f4 -> trunk/b6b6d912df0b6f4082f8e50b18bd1de1dd7325f4 2025-12-04T08:57:30.1125080Z * [new tag] trunk/b7d60685f8cbc939b68a20871e90db67e729329b -> trunk/b7d60685f8cbc939b68a20871e90db67e729329b 2025-12-04T08:57:30.1125604Z * [new tag] trunk/b7f6b9a4fc6259f7af068f31868b3119bb1bac3e -> trunk/b7f6b9a4fc6259f7af068f31868b3119bb1bac3e 2025-12-04T08:57:30.1126112Z * [new tag] trunk/b8c4ba3593761e7b2a3ebd86f040fb07b47c02cf -> trunk/b8c4ba3593761e7b2a3ebd86f040fb07b47c02cf 2025-12-04T08:57:30.1126700Z * [new tag] trunk/b9c8f3a4884befb965ff42620ce44a71b04887f5 -> trunk/b9c8f3a4884befb965ff42620ce44a71b04887f5 2025-12-04T08:57:30.1127233Z * [new tag] trunk/ba1412546f3082c0958c077acc2025e4dbc33f1f -> trunk/ba1412546f3082c0958c077acc2025e4dbc33f1f 2025-12-04T08:57:30.1127877Z * [new tag] trunk/bac403c0b38c63bdbcc0c31f1c2b0bc0260f610f -> trunk/bac403c0b38c63bdbcc0c31f1c2b0bc0260f610f 2025-12-04T08:57:30.1128341Z * [new tag] trunk/bb3034198b459401fabeab254e1b99f0115046e2 -> trunk/bb3034198b459401fabeab254e1b99f0115046e2 2025-12-04T08:57:30.1128845Z * [new tag] trunk/bc39b2b3bc7a6e19a42e62bd576974035086fe55 -> trunk/bc39b2b3bc7a6e19a42e62bd576974035086fe55 2025-12-04T08:57:30.1129603Z * [new tag] trunk/bc43d5b297f207a11d83d77ddf0152bdaabe15a8 -> trunk/bc43d5b297f207a11d83d77ddf0152bdaabe15a8 2025-12-04T08:57:30.1130416Z * [new tag] trunk/bc6a4863c7246a6493d16d4ea6eee71ec07c6a09 -> trunk/bc6a4863c7246a6493d16d4ea6eee71ec07c6a09 2025-12-04T08:57:30.1130884Z * [new tag] trunk/bea4912944defdbcb8b061800caab6cbbbd01df5 -> trunk/bea4912944defdbcb8b061800caab6cbbbd01df5 2025-12-04T08:57:30.1131742Z * [new tag] trunk/c04e2c656f48d82d1521b867bbbf03967b9b7564 -> trunk/c04e2c656f48d82d1521b867bbbf03967b9b7564 2025-12-04T08:57:30.1132272Z * [new tag] trunk/c0660bcee27e7d7731634e274576a7081882bede -> trunk/c0660bcee27e7d7731634e274576a7081882bede 2025-12-04T08:57:30.1132816Z * [new tag] trunk/c178ed43d3d99cbefe84fbfb21d6f282b20d62ac -> trunk/c178ed43d3d99cbefe84fbfb21d6f282b20d62ac 2025-12-04T08:57:30.1133347Z * [new tag] trunk/c55b1e8f61d041ee436d697449eb028931d574fb -> trunk/c55b1e8f61d041ee436d697449eb028931d574fb 2025-12-04T08:57:30.1133789Z * [new tag] trunk/c6ae7579fe12fe75f1a8f7043a494c90567273f1 -> trunk/c6ae7579fe12fe75f1a8f7043a494c90567273f1 2025-12-04T08:57:30.1134598Z * [new tag] trunk/c8210e7d94bad5ae21ac389fa4ba8a463c76c4d0 -> trunk/c8210e7d94bad5ae21ac389fa4ba8a463c76c4d0 2025-12-04T08:57:30.1135155Z * [new tag] trunk/cc0853af42122f8185321f542616f4474e717f09 -> trunk/cc0853af42122f8185321f542616f4474e717f09 2025-12-04T08:57:30.1135672Z * [new tag] trunk/cddec6562eabfa390d014fa3741a5659cf9c94c9 -> trunk/cddec6562eabfa390d014fa3741a5659cf9c94c9 2025-12-04T08:57:30.1136201Z * [new tag] trunk/ce5e7e3bf1f4b69a4f4f93d288ba75b906df492a -> trunk/ce5e7e3bf1f4b69a4f4f93d288ba75b906df492a 2025-12-04T08:57:30.1136796Z * [new tag] trunk/d038b0130ec7c20ebcac219301292fd8e98a1ace -> trunk/d038b0130ec7c20ebcac219301292fd8e98a1ace 2025-12-04T08:57:30.1137298Z * [new tag] trunk/d16447dacaf2420ea175f0c275c75da951f57d39 -> trunk/d16447dacaf2420ea175f0c275c75da951f57d39 2025-12-04T08:57:30.1137843Z * [new tag] trunk/d19f1e8cab6810bb2e99141f9976665954c67a50 -> trunk/d19f1e8cab6810bb2e99141f9976665954c67a50 2025-12-04T08:57:30.1138373Z * [new tag] trunk/d1c9f03b2a5af4104721712f8cdffe9b4f340c01 -> trunk/d1c9f03b2a5af4104721712f8cdffe9b4f340c01 2025-12-04T08:57:30.1139005Z * [new tag] trunk/d40f4950f2b7f7aa380a22fe0f6166e71680fbcf -> trunk/d40f4950f2b7f7aa380a22fe0f6166e71680fbcf 2025-12-04T08:57:30.1139586Z * [new tag] trunk/d5038950bacfe36bbf24a47a455fe76901deb8e8 -> trunk/d5038950bacfe36bbf24a47a455fe76901deb8e8 2025-12-04T08:57:30.1140123Z * [new tag] trunk/d54ff42903c2ae0533931ff11d23b35f875bdb3d -> trunk/d54ff42903c2ae0533931ff11d23b35f875bdb3d 2025-12-04T08:57:30.1140560Z * [new tag] trunk/d76697633a2d2b9cced1ae21161849b33bfe7e47 -> trunk/d76697633a2d2b9cced1ae21161849b33bfe7e47 2025-12-04T08:57:30.1141076Z * [new tag] trunk/d78f52b199c547106d4cd9d2856dd0805c118bf1 -> trunk/d78f52b199c547106d4cd9d2856dd0805c118bf1 2025-12-04T08:57:30.1141542Z * [new tag] trunk/d8fd5c6eed28e5004150691d048a3f6785e19a8e -> trunk/d8fd5c6eed28e5004150691d048a3f6785e19a8e 2025-12-04T08:57:30.1142028Z * [new tag] trunk/d900f5e86745dec76713f4b0ef07005ef36b2f5a -> trunk/d900f5e86745dec76713f4b0ef07005ef36b2f5a 2025-12-04T08:57:30.1142494Z * [new tag] trunk/d973dc6b87d763859fe1c5bd1287e3b6b1c49d1b -> trunk/d973dc6b87d763859fe1c5bd1287e3b6b1c49d1b 2025-12-04T08:57:30.1143051Z * [new tag] trunk/d998c03304cb6ede76e1ed535b4ddeb6c2bf40ec -> trunk/d998c03304cb6ede76e1ed535b4ddeb6c2bf40ec 2025-12-04T08:57:30.1143506Z * [new tag] trunk/d9cb8a70833101dbbe16b99520cfbdd70d0a87bf -> trunk/d9cb8a70833101dbbe16b99520cfbdd70d0a87bf 2025-12-04T08:57:30.1143980Z * [new tag] trunk/d9d5e91b43f70eb8637af55db6856d49be391ffd -> trunk/d9d5e91b43f70eb8637af55db6856d49be391ffd 2025-12-04T08:57:30.1144527Z * [new tag] trunk/dd18a75336a4fbd7497955cc5665904724fce889 -> trunk/dd18a75336a4fbd7497955cc5665904724fce889 2025-12-04T08:57:30.1145283Z * [new tag] trunk/ded9bcd61a059bf723e6e84689552962b480ea77 -> trunk/ded9bcd61a059bf723e6e84689552962b480ea77 2025-12-04T08:57:30.1146114Z * [new tag] trunk/dfbd3714d15c37a7b83b322a6b60f997fc00f50c -> trunk/dfbd3714d15c37a7b83b322a6b60f997fc00f50c 2025-12-04T08:57:30.1146646Z * [new tag] trunk/e115f9f4e4b039f8e9a642aaa2bd8254a920541b -> trunk/e115f9f4e4b039f8e9a642aaa2bd8254a920541b 2025-12-04T08:57:30.1147116Z * [new tag] trunk/e3f24fd73ad74c6e7176687986436956c7c18235 -> trunk/e3f24fd73ad74c6e7176687986436956c7c18235 2025-12-04T08:57:30.1147653Z * [new tag] trunk/e7d24d3ff93d1503ba63860b7057438ad93f918e -> trunk/e7d24d3ff93d1503ba63860b7057438ad93f918e 2025-12-04T08:57:30.1148183Z * [new tag] trunk/ea7035f462a0d2830865ee86c832bd101e1427fc -> trunk/ea7035f462a0d2830865ee86c832bd101e1427fc 2025-12-04T08:57:30.1148659Z * [new tag] trunk/eabb7ad2128580ef674446027b95bcf4e21e8df3 -> trunk/eabb7ad2128580ef674446027b95bcf4e21e8df3 2025-12-04T08:57:30.1149188Z * [new tag] trunk/eb5c63652a33da42e7018c23df5f20a3eb4c6ccf -> trunk/eb5c63652a33da42e7018c23df5f20a3eb4c6ccf 2025-12-04T08:57:30.1149689Z * [new tag] trunk/ec2c71f5c85021b8938cdafadce24c15a36fd93e -> trunk/ec2c71f5c85021b8938cdafadce24c15a36fd93e 2025-12-04T08:57:30.1150181Z * [new tag] trunk/ecbcc3f6bf327856b435b259ac63cc2f328c4b4e -> trunk/ecbcc3f6bf327856b435b259ac63cc2f328c4b4e 2025-12-04T08:57:30.1151094Z * [new tag] trunk/ee87bbe876c42575e961b32a0827d76bc9782ca2 -> trunk/ee87bbe876c42575e961b32a0827d76bc9782ca2 2025-12-04T08:57:30.1151541Z * [new tag] trunk/ef019d1d431c4c5a95b594cb90d40a50cd00f5e4 -> trunk/ef019d1d431c4c5a95b594cb90d40a50cd00f5e4 2025-12-04T08:57:30.1152018Z * [new tag] trunk/ef8ecc13830a86c4b231f1aad9aba7851db61b53 -> trunk/ef8ecc13830a86c4b231f1aad9aba7851db61b53 2025-12-04T08:57:30.1152515Z * [new tag] trunk/f1076f5510920044912247b1abb8760cb820f598 -> trunk/f1076f5510920044912247b1abb8760cb820f598 2025-12-04T08:57:30.1153028Z * [new tag] trunk/f2d6a75a00a1d648ca9a0abc6a33e14c3dea6c40 -> trunk/f2d6a75a00a1d648ca9a0abc6a33e14c3dea6c40 2025-12-04T08:57:30.1153500Z * [new tag] trunk/f47dd0ddef1359e5b43e4b962412f67b30ecde56 -> trunk/f47dd0ddef1359e5b43e4b962412f67b30ecde56 2025-12-04T08:57:30.1154017Z * [new tag] trunk/f49d32dfa4730dcfb1b60eeeb369b5889da983c8 -> trunk/f49d32dfa4730dcfb1b60eeeb369b5889da983c8 2025-12-04T08:57:30.1154504Z * [new tag] trunk/f4dedf78fc30fd4b93975787ca6074ee89db9467 -> trunk/f4dedf78fc30fd4b93975787ca6074ee89db9467 2025-12-04T08:57:30.1155012Z * [new tag] trunk/f7c0d03819ebed05c4038f095d66d1b8c54aca17 -> trunk/f7c0d03819ebed05c4038f095d66d1b8c54aca17 2025-12-04T08:57:30.1155495Z * [new tag] trunk/f7e1bd80a063e17453c361837ba6ea2570920a73 -> trunk/f7e1bd80a063e17453c361837ba6ea2570920a73 2025-12-04T08:57:30.1155933Z * [new tag] trunk/f9bd6c53624c7c0ea3772de78498326e84c2f0e7 -> trunk/f9bd6c53624c7c0ea3772de78498326e84c2f0e7 2025-12-04T08:57:30.1156492Z * [new tag] trunk/fb5be221a46b51bfc9509013b0d85bc5a9d4f15b -> trunk/fb5be221a46b51bfc9509013b0d85bc5a9d4f15b 2025-12-04T08:57:30.1156989Z * [new tag] trunk/fdf863d5e1de3b2688c9511e96876e34581dbfd7 -> trunk/fdf863d5e1de3b2688c9511e96876e34581dbfd7 2025-12-04T08:57:30.1157929Z * [new tag] trunk/fe0e65adfc0e7ca6e5f57e6ea8b16bd5cc967307 -> trunk/fe0e65adfc0e7ca6e5f57e6ea8b16bd5cc967307 2025-12-04T08:57:30.1158355Z * [new tag] trunk/fec710bf89173f5355468a7ce1afe9157c3d9009 -> trunk/fec710bf89173f5355468a7ce1afe9157c3d9009 2025-12-04T08:57:30.1158893Z * [new tag] trunk/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 -> trunk/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:57:30.1159296Z * [new tag] v0.1.1 -> v0.1.1 2025-12-04T08:57:30.1159732Z * [new tag] v0.1.10 -> v0.1.10 2025-12-04T08:57:30.1160167Z * [new tag] v0.1.11 -> v0.1.11 2025-12-04T08:57:30.1160601Z * [new tag] v0.1.12 -> v0.1.12 2025-12-04T08:57:30.1161067Z * [new tag] v0.1.2 -> v0.1.2 2025-12-04T08:57:30.1161484Z * [new tag] v0.1.3 -> v0.1.3 2025-12-04T08:57:30.1161929Z * [new tag] v0.1.4 -> v0.1.4 2025-12-04T08:57:30.1162355Z * [new tag] v0.1.5 -> v0.1.5 2025-12-04T08:57:30.1162832Z * [new tag] v0.1.6 -> v0.1.6 2025-12-04T08:57:30.1163247Z * [new tag] v0.1.7 -> v0.1.7 2025-12-04T08:57:30.1163695Z * [new tag] v0.1.8 -> v0.1.8 2025-12-04T08:57:30.1164101Z * [new tag] v0.1.9 -> v0.1.9 2025-12-04T08:57:30.1164738Z * [new tag] v0.2.0 -> v0.2.0 2025-12-04T08:57:30.1165199Z * [new tag] v0.3.0 -> v0.3.0 2025-12-04T08:57:30.1165688Z * [new tag] v0.3.1 -> v0.3.1 2025-12-04T08:57:30.1166155Z * [new tag] v0.4.0 -> v0.4.0 2025-12-04T08:57:30.1166619Z * [new tag] v0.4.1 -> v0.4.1 2025-12-04T08:57:30.1167056Z * [new tag] v1.0.0 -> v1.0.0 2025-12-04T08:57:30.1167528Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-12-04T08:57:30.1167952Z * [new tag] v1.0.1 -> v1.0.1 2025-12-04T08:57:30.1168454Z * [new tag] v1.0rc0 -> v1.0rc0 2025-12-04T08:57:30.1169261Z * [new tag] v1.0rc1 -> v1.0rc1 2025-12-04T08:57:30.1169625Z * [new tag] v1.1.0 -> v1.1.0 2025-12-04T08:57:30.1170111Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-12-04T08:57:30.1170831Z * [new tag] v1.10.0 -> v1.10.0 2025-12-04T08:57:30.1171303Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-12-04T08:57:30.1171947Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-12-04T08:57:30.1172274Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-12-04T08:57:30.1172816Z * [new tag] v1.10.1 -> v1.10.1 2025-12-04T08:57:30.1173177Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-12-04T08:57:30.1173566Z * [new tag] v1.10.2 -> v1.10.2 2025-12-04T08:57:30.1173966Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-12-04T08:57:30.1174489Z * [new tag] v1.11.0 -> v1.11.0 2025-12-04T08:57:30.1175146Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-12-04T08:57:30.1175760Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-12-04T08:57:30.1176245Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-12-04T08:57:30.1176918Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-12-04T08:57:30.1177546Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-12-04T08:57:30.1177854Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-12-04T08:57:30.1178237Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-12-04T08:57:30.1178917Z * [new tag] v1.12.0 -> v1.12.0 2025-12-04T08:57:30.1179390Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-12-04T08:57:30.1180093Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-12-04T08:57:30.1180504Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-12-04T08:57:30.1181208Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-12-04T08:57:30.1181571Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-12-04T08:57:30.1182245Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-12-04T08:57:30.1182528Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-12-04T08:57:30.1182870Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-12-04T08:57:30.1183221Z * [new tag] v1.12.1 -> v1.12.1 2025-12-04T08:57:30.1183872Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-12-04T08:57:30.1184257Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-12-04T08:57:30.1184998Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-12-04T08:57:30.1185531Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-12-04T08:57:30.1185921Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-12-04T08:57:30.1186620Z * [new tag] v1.13.0 -> v1.13.0 2025-12-04T08:57:30.1187028Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-12-04T08:57:30.1187507Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-12-04T08:57:30.1187977Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-12-04T08:57:30.1188659Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-12-04T08:57:30.1188911Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-12-04T08:57:30.1189246Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-12-04T08:57:30.1189863Z * [new tag] v1.13.1 -> v1.13.1 2025-12-04T08:57:30.1190128Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-12-04T08:57:30.1190568Z * [new tag] v1.2.0 -> v1.2.0 2025-12-04T08:57:30.1191048Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-12-04T08:57:30.1191512Z * [new tag] v1.3.0 -> v1.3.0 2025-12-04T08:57:30.1191985Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-12-04T08:57:30.1192323Z * [new tag] v1.3.1 -> v1.3.1 2025-12-04T08:57:30.1192778Z * [new tag] v1.4.0 -> v1.4.0 2025-12-04T08:57:30.1193265Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-12-04T08:57:30.1193600Z * [new tag] v1.4.1 -> v1.4.1 2025-12-04T08:57:30.1194133Z * [new tag] v1.5.0 -> v1.5.0 2025-12-04T08:57:30.1194661Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-12-04T08:57:30.1195276Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-12-04T08:57:30.1195729Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-12-04T08:57:30.1196198Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-12-04T08:57:30.1196533Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-12-04T08:57:30.1197162Z * [new tag] v1.5.1 -> v1.5.1 2025-12-04T08:57:30.1197460Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-12-04T08:57:30.1197809Z * [new tag] v1.6.0 -> v1.6.0 2025-12-04T08:57:30.1198407Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-12-04T08:57:30.1198852Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-12-04T08:57:30.1199350Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-12-04T08:57:30.1199844Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-12-04T08:57:30.1200724Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-12-04T08:57:30.1201095Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-12-04T08:57:30.1201441Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-12-04T08:57:30.1201926Z * [new tag] v1.7.0 -> v1.7.0 2025-12-04T08:57:30.1202544Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-12-04T08:57:30.1203148Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-12-04T08:57:30.1203587Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-12-04T08:57:30.1203919Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-12-04T08:57:30.1204417Z * [new tag] v1.7.1 -> v1.7.1 2025-12-04T08:57:30.1205103Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-12-04T08:57:30.1205504Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-12-04T08:57:30.1205851Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-12-04T08:57:30.1206481Z * [new tag] v1.8.0 -> v1.8.0 2025-12-04T08:57:30.1206711Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-12-04T08:57:30.1207195Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-12-04T08:57:30.1207687Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-12-04T08:57:30.1208145Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-12-04T08:57:30.1208493Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-12-04T08:57:30.1208848Z * [new tag] v1.8.1 -> v1.8.1 2025-12-04T08:57:30.1209333Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-12-04T08:57:30.1209664Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-12-04T08:57:30.1210003Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-12-04T08:57:30.1211007Z * [new tag] v1.8.2 -> v1.8.2 2025-12-04T08:57:30.1211426Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-12-04T08:57:30.1211900Z * [new tag] v1.9.0 -> v1.9.0 2025-12-04T08:57:30.1212512Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-12-04T08:57:30.1213092Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-12-04T08:57:30.1213721Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-12-04T08:57:30.1214035Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-12-04T08:57:30.1214555Z * [new tag] v1.9.1 -> v1.9.1 2025-12-04T08:57:30.1215385Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-12-04T08:57:30.1215644Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-12-04T08:57:30.1216319Z * [new tag] v2.0.0 -> v2.0.0 2025-12-04T08:57:30.1216752Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-12-04T08:57:30.1217434Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-12-04T08:57:30.1217893Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-12-04T08:57:30.1218397Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-12-04T08:57:30.1219122Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-12-04T08:57:30.1219373Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-12-04T08:57:30.1220027Z * [new tag] v2.0.1 -> v2.0.1 2025-12-04T08:57:30.1220559Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-12-04T08:57:30.1220876Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-12-04T08:57:30.1221490Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-12-04T08:57:30.1221757Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-12-04T08:57:30.1222822Z * [new tag] v2.1.0 -> v2.1.0 2025-12-04T08:57:30.1223189Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-12-04T08:57:30.1223791Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-12-04T08:57:30.1224251Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-12-04T08:57:30.1225001Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-12-04T08:57:30.1225618Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-12-04T08:57:30.1225953Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-12-04T08:57:30.1226557Z * [new tag] v2.1.1 -> v2.1.1 2025-12-04T08:57:30.1227113Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-12-04T08:57:30.1227702Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-12-04T08:57:30.1228389Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-12-04T08:57:30.1228869Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-12-04T08:57:30.1229522Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-12-04T08:57:30.1229935Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-12-04T08:57:30.1230404Z * [new tag] v2.1.2 -> v2.1.2 2025-12-04T08:57:30.1232102Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-12-04T08:57:30.1232251Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-12-04T08:57:30.1232388Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-12-04T08:57:30.1232518Z * [new tag] v2.2.0 -> v2.2.0 2025-12-04T08:57:30.1232993Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-12-04T08:57:30.1233895Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-12-04T08:57:30.1234263Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-12-04T08:57:30.1234737Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-12-04T08:57:30.1235201Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-12-04T08:57:30.1235834Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-12-04T08:57:30.1236081Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-12-04T08:57:30.1236451Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-12-04T08:57:30.1237102Z * [new tag] v2.2.1 -> v2.2.1 2025-12-04T08:57:30.1237506Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-12-04T08:57:30.1237821Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-12-04T08:57:30.1238155Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-12-04T08:57:30.1238607Z * [new tag] v2.2.2 -> v2.2.2 2025-12-04T08:57:30.1239268Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-12-04T08:57:30.1239534Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-12-04T08:57:30.1239881Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-12-04T08:57:30.1240514Z * [new tag] v2.3.0 -> v2.3.0 2025-12-04T08:57:30.1240931Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-12-04T08:57:30.1241732Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-12-04T08:57:30.1242097Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-12-04T08:57:30.1242428Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-12-04T08:57:30.1243064Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-12-04T08:57:30.1243553Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-12-04T08:57:30.1244165Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-12-04T08:57:30.1244773Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-12-04T08:57:30.1245058Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-12-04T08:57:30.1245562Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-12-04T08:57:30.1246169Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-12-04T08:57:30.1246459Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-12-04T08:57:30.1246813Z * [new tag] v2.3.1 -> v2.3.1 2025-12-04T08:57:30.1247451Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-12-04T08:57:30.1247881Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-12-04T08:57:30.1248529Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-12-04T08:57:30.1248978Z * [new tag] v2.4.0 -> v2.4.0 2025-12-04T08:57:30.1249486Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-12-04T08:57:30.1249952Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-12-04T08:57:30.1250568Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-12-04T08:57:30.1250932Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-12-04T08:57:30.1251604Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-12-04T08:57:30.1252038Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-12-04T08:57:30.1252671Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-12-04T08:57:30.1253335Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-12-04T08:57:30.1253829Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-12-04T08:57:30.1254229Z * [new tag] v2.4.1 -> v2.4.1 2025-12-04T08:57:30.1254939Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-12-04T08:57:30.1255422Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-12-04T08:57:30.1256122Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-12-04T08:57:30.1256580Z * [new tag] v2.5.0 -> v2.5.0 2025-12-04T08:57:30.1257218Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-12-04T08:57:30.1257528Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-12-04T08:57:30.1258178Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-12-04T08:57:30.1258620Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-12-04T08:57:30.1259244Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-12-04T08:57:30.1259696Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-12-04T08:57:30.1260451Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-12-04T08:57:30.1260882Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-12-04T08:57:30.1261568Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-12-04T08:57:30.1262029Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-12-04T08:57:30.1262388Z * [new tag] v2.5.1 -> v2.5.1 2025-12-04T08:57:30.1262768Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-12-04T08:57:30.1263097Z * [new tag] v2.6.0 -> v2.6.0 2025-12-04T08:57:30.1263756Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-12-04T08:57:30.1264226Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-12-04T08:57:30.1264901Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-12-04T08:57:30.1265425Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-12-04T08:57:30.1266738Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-12-04T08:57:30.1267464Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-12-04T08:57:30.1267952Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-12-04T08:57:30.1268631Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-12-04T08:57:30.1269108Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-12-04T08:57:30.1269904Z * [new tag] v2.7.0 -> v2.7.0 2025-12-04T08:57:30.1270365Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-12-04T08:57:30.1270711Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-12-04T08:57:30.1271410Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-12-04T08:57:30.1271924Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-12-04T08:57:30.1272398Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-12-04T08:57:30.1272894Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-12-04T08:57:30.1273381Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-12-04T08:57:30.1274002Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-12-04T08:57:30.1274471Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-12-04T08:57:30.1275123Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-12-04T08:57:30.1275402Z * [new tag] v2.7.1 -> v2.7.1 2025-12-04T08:57:30.1276112Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-12-04T08:57:30.1276568Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-12-04T08:57:30.1277234Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-12-04T08:57:30.1277914Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-12-04T08:57:30.1278333Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-12-04T08:57:30.1278720Z * [new tag] v2.8.0 -> v2.8.0 2025-12-04T08:57:30.1279428Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-12-04T08:57:30.1279883Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-12-04T08:57:30.1280533Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-12-04T08:57:30.1280958Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-12-04T08:57:30.1281652Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-12-04T08:57:30.1282120Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-12-04T08:57:30.1282735Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-12-04T08:57:30.1283171Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-12-04T08:57:30.1283808Z * [new tag] v2.9.0 -> v2.9.0 2025-12-04T08:57:30.1284251Z * [new tag] v2.9.0-rc1 -> v2.9.0-rc1 2025-12-04T08:57:30.1284872Z * [new tag] v2.9.0-rc10 -> v2.9.0-rc10 2025-12-04T08:57:30.1285355Z * [new tag] v2.9.0-rc11 -> v2.9.0-rc11 2025-12-04T08:57:30.1286269Z * [new tag] v2.9.0-rc2 -> v2.9.0-rc2 2025-12-04T08:57:30.1286675Z * [new tag] v2.9.0-rc3 -> v2.9.0-rc3 2025-12-04T08:57:30.1287329Z * [new tag] v2.9.0-rc4 -> v2.9.0-rc4 2025-12-04T08:57:30.1287775Z * [new tag] v2.9.0-rc5 -> v2.9.0-rc5 2025-12-04T08:57:30.1288577Z * [new tag] v2.9.0-rc6 -> v2.9.0-rc6 2025-12-04T08:57:30.1289031Z * [new tag] v2.9.0-rc7 -> v2.9.0-rc7 2025-12-04T08:57:30.1289808Z * [new tag] v2.9.0-rc8 -> v2.9.0-rc8 2025-12-04T08:57:30.1290104Z * [new tag] v2.9.0-rc9 -> v2.9.0-rc9 2025-12-04T08:57:30.1290498Z * [new tag] v2.9.1 -> v2.9.1 2025-12-04T08:57:30.1291133Z * [new tag] v2.9.1-rc1 -> v2.9.1-rc1 2025-12-04T08:57:30.1291638Z * [new tag] v2.9.1-rc2 -> v2.9.1-rc2 2025-12-04T08:57:30.1292557Z * [new tag] viable/strict/1759343184 -> viable/strict/1759343184 2025-12-04T08:57:30.1293017Z * [new tag] viable/strict/1759346540 -> viable/strict/1759346540 2025-12-04T08:57:30.1293512Z * [new tag] viable/strict/1759348181 -> viable/strict/1759348181 2025-12-04T08:57:30.1294048Z * [new tag] viable/strict/1759350324 -> viable/strict/1759350324 2025-12-04T08:57:30.1294715Z * [new tag] viable/strict/1759351793 -> viable/strict/1759351793 2025-12-04T08:57:30.1295034Z * [new tag] viable/strict/1759353844 -> viable/strict/1759353844 2025-12-04T08:57:30.1295663Z * [new tag] viable/strict/1759355374 -> viable/strict/1759355374 2025-12-04T08:57:30.1296641Z * [new tag] viable/strict/1759357472 -> viable/strict/1759357472 2025-12-04T08:57:30.1297011Z * [new tag] viable/strict/1759361002 -> viable/strict/1759361002 2025-12-04T08:57:30.1297844Z * [new tag] viable/strict/1759362585 -> viable/strict/1759362585 2025-12-04T08:57:30.1298341Z * [new tag] viable/strict/1759365359 -> viable/strict/1759365359 2025-12-04T08:57:30.1298981Z * [new tag] viable/strict/1759370089 -> viable/strict/1759370089 2025-12-04T08:57:30.1299448Z * [new tag] viable/strict/1759377554 -> viable/strict/1759377554 2025-12-04T08:57:30.1300192Z * [new tag] viable/strict/1759379133 -> viable/strict/1759379133 2025-12-04T08:57:30.1300472Z * [new tag] viable/strict/1759389871 -> viable/strict/1759389871 2025-12-04T08:57:30.1300983Z * [new tag] viable/strict/1759393562 -> viable/strict/1759393562 2025-12-04T08:57:30.1301494Z * [new tag] viable/strict/1759395076 -> viable/strict/1759395076 2025-12-04T08:57:30.1301997Z * [new tag] viable/strict/1759398579 -> viable/strict/1759398579 2025-12-04T08:57:30.1302501Z * [new tag] viable/strict/1759404142 -> viable/strict/1759404142 2025-12-04T08:57:30.1303028Z * [new tag] viable/strict/1759405773 -> viable/strict/1759405773 2025-12-04T08:57:30.1303502Z * [new tag] viable/strict/1759408041 -> viable/strict/1759408041 2025-12-04T08:57:30.1303980Z * [new tag] viable/strict/1759411593 -> viable/strict/1759411593 2025-12-04T08:57:30.1304456Z * [new tag] viable/strict/1759427395 -> viable/strict/1759427395 2025-12-04T08:57:30.1305258Z * [new tag] viable/strict/1759434582 -> viable/strict/1759434582 2025-12-04T08:57:30.1305668Z * [new tag] viable/strict/1759436720 -> viable/strict/1759436720 2025-12-04T08:57:30.1306226Z * [new tag] viable/strict/1759440219 -> viable/strict/1759440219 2025-12-04T08:57:30.1306758Z * [new tag] viable/strict/1759441948 -> viable/strict/1759441948 2025-12-04T08:57:30.1307265Z * [new tag] viable/strict/1759443860 -> viable/strict/1759443860 2025-12-04T08:57:30.1307745Z * [new tag] viable/strict/1759445377 -> viable/strict/1759445377 2025-12-04T08:57:30.1308228Z * [new tag] viable/strict/1759447415 -> viable/strict/1759447415 2025-12-04T08:57:30.1308723Z * [new tag] viable/strict/1759451750 -> viable/strict/1759451750 2025-12-04T08:57:30.1309208Z * [new tag] viable/strict/1759453910 -> viable/strict/1759453910 2025-12-04T08:57:30.1309705Z * [new tag] viable/strict/1759456483 -> viable/strict/1759456483 2025-12-04T08:57:30.1310237Z * [new tag] viable/strict/1759459279 -> viable/strict/1759459279 2025-12-04T08:57:30.1310735Z * [new tag] viable/strict/1759460742 -> viable/strict/1759460742 2025-12-04T08:57:30.1311210Z * [new tag] viable/strict/1759462025 -> viable/strict/1759462025 2025-12-04T08:57:30.1311694Z * [new tag] viable/strict/1759469086 -> viable/strict/1759469086 2025-12-04T08:57:30.1312145Z * [new tag] viable/strict/1759470581 -> viable/strict/1759470581 2025-12-04T08:57:30.1312655Z * [new tag] viable/strict/1759472786 -> viable/strict/1759472786 2025-12-04T08:57:30.1313236Z * [new tag] viable/strict/1759476294 -> viable/strict/1759476294 2025-12-04T08:57:30.1313713Z * [new tag] viable/strict/1759479963 -> viable/strict/1759479963 2025-12-04T08:57:30.1314158Z * [new tag] viable/strict/1759492177 -> viable/strict/1759492177 2025-12-04T08:57:30.1314639Z * [new tag] viable/strict/1759519278 -> viable/strict/1759519278 2025-12-04T08:57:30.1315091Z * [new tag] viable/strict/1759524580 -> viable/strict/1759524580 2025-12-04T08:57:30.1315574Z * [new tag] viable/strict/1759528193 -> viable/strict/1759528193 2025-12-04T08:57:30.1316288Z * [new tag] viable/strict/1759533797 -> viable/strict/1759533797 2025-12-04T08:57:30.1316684Z * [new tag] viable/strict/1759542780 -> viable/strict/1759542780 2025-12-04T08:57:30.1317185Z * [new tag] viable/strict/1759549779 -> viable/strict/1759549779 2025-12-04T08:57:30.1317679Z * [new tag] viable/strict/1759555455 -> viable/strict/1759555455 2025-12-04T08:57:30.1318151Z * [new tag] viable/strict/1759559176 -> viable/strict/1759559176 2025-12-04T08:57:30.1318632Z * [new tag] viable/strict/1759560629 -> viable/strict/1759560629 2025-12-04T08:57:30.1319091Z * [new tag] viable/strict/1759569848 -> viable/strict/1759569848 2025-12-04T08:57:30.1319790Z * [new tag] viable/strict/1759571382 -> viable/strict/1759571382 2025-12-04T08:57:30.1320171Z * [new tag] viable/strict/1759573474 -> viable/strict/1759573474 2025-12-04T08:57:30.1320643Z * [new tag] viable/strict/1759618187 -> viable/strict/1759618187 2025-12-04T08:57:30.1321134Z * [new tag] viable/strict/1759626742 -> viable/strict/1759626742 2025-12-04T08:57:30.1321630Z * [new tag] viable/strict/1759632427 -> viable/strict/1759632427 2025-12-04T08:57:30.1322121Z * [new tag] viable/strict/1759634971 -> viable/strict/1759634971 2025-12-04T08:57:30.1322602Z * [new tag] viable/strict/1759661382 -> viable/strict/1759661382 2025-12-04T08:57:30.1323094Z * [new tag] viable/strict/1759663294 -> viable/strict/1759663294 2025-12-04T08:57:30.1323476Z * [new tag] viable/strict/1759708178 -> viable/strict/1759708178 2025-12-04T08:57:30.1323951Z * [new tag] viable/strict/1759715695 -> viable/strict/1759715695 2025-12-04T08:57:30.1324449Z * [new tag] viable/strict/1759728293 -> viable/strict/1759728293 2025-12-04T08:57:30.1324911Z * [new tag] viable/strict/1759735513 -> viable/strict/1759735513 2025-12-04T08:57:30.1325399Z * [new tag] viable/strict/1759739177 -> viable/strict/1759739177 2025-12-04T08:57:30.1325859Z * [new tag] viable/strict/1759758635 -> viable/strict/1759758635 2025-12-04T08:57:30.1326339Z * [new tag] viable/strict/1759765784 -> viable/strict/1759765784 2025-12-04T08:57:30.1326809Z * [new tag] viable/strict/1759767948 -> viable/strict/1759767948 2025-12-04T08:57:30.1327324Z * [new tag] viable/strict/1759771461 -> viable/strict/1759771461 2025-12-04T08:57:30.1327706Z * [new tag] viable/strict/1759776706 -> viable/strict/1759776706 2025-12-04T08:57:30.1328237Z * [new tag] viable/strict/1759782317 -> viable/strict/1759782317 2025-12-04T08:57:30.1329273Z * [new tag] viable/strict/1759783777 -> viable/strict/1759783777 2025-12-04T08:57:30.1329952Z * [new tag] viable/strict/1759785815 -> viable/strict/1759785815 2025-12-04T08:57:30.1330455Z * [new tag] viable/strict/1759789459 -> viable/strict/1759789459 2025-12-04T08:57:30.1330902Z * [new tag] viable/strict/1759790974 -> viable/strict/1759790974 2025-12-04T08:57:30.1331366Z * [new tag] viable/strict/1759794583 -> viable/strict/1759794583 2025-12-04T08:57:30.1331821Z * [new tag] viable/strict/1759797408 -> viable/strict/1759797408 2025-12-04T08:57:30.1332339Z * [new tag] viable/strict/1759799518 -> viable/strict/1759799518 2025-12-04T08:57:30.1332884Z * [new tag] viable/strict/1759804909 -> viable/strict/1759804909 2025-12-04T08:57:30.1333407Z * [new tag] viable/strict/1759807643 -> viable/strict/1759807643 2025-12-04T08:57:30.1333884Z * [new tag] viable/strict/1759809089 -> viable/strict/1759809089 2025-12-04T08:57:30.1334536Z * [new tag] viable/strict/1759811145 -> viable/strict/1759811145 2025-12-04T08:57:30.1334929Z * [new tag] viable/strict/1759812581 -> viable/strict/1759812581 2025-12-04T08:57:30.1335640Z * [new tag] viable/strict/1759814683 -> viable/strict/1759814683 2025-12-04T08:57:30.1335893Z * [new tag] viable/strict/1759821889 -> viable/strict/1759821889 2025-12-04T08:57:30.1336541Z * [new tag] viable/strict/1759823376 -> viable/strict/1759823376 2025-12-04T08:57:30.1336924Z * [new tag] viable/strict/1759827107 -> viable/strict/1759827107 2025-12-04T08:57:30.1337448Z * [new tag] viable/strict/1759830577 -> viable/strict/1759830577 2025-12-04T08:57:30.1337991Z * [new tag] viable/strict/1759832720 -> viable/strict/1759832720 2025-12-04T08:57:30.1338461Z * [new tag] viable/strict/1759842063 -> viable/strict/1759842063 2025-12-04T08:57:30.1338943Z * [new tag] viable/strict/1759847121 -> viable/strict/1759847121 2025-12-04T08:57:30.1339771Z * [new tag] viable/strict/1759850721 -> viable/strict/1759850721 2025-12-04T08:57:30.1340145Z * [new tag] viable/strict/1759857870 -> viable/strict/1759857870 2025-12-04T08:57:30.1340657Z * [new tag] viable/strict/1759863143 -> viable/strict/1759863143 2025-12-04T08:57:30.1341180Z * [new tag] viable/strict/1759875874 -> viable/strict/1759875874 2025-12-04T08:57:30.1341532Z * [new tag] viable/strict/1759877385 -> viable/strict/1759877385 2025-12-04T08:57:30.1342021Z * [new tag] viable/strict/1759883801 -> viable/strict/1759883801 2025-12-04T08:57:30.1342486Z * [new tag] viable/strict/1759885922 -> viable/strict/1759885922 2025-12-04T08:57:30.1343057Z * [new tag] viable/strict/1759888488 -> viable/strict/1759888488 2025-12-04T08:57:30.1343465Z * [new tag] viable/strict/1759895471 -> viable/strict/1759895471 2025-12-04T08:57:30.1344208Z * [new tag] viable/strict/1759904803 -> viable/strict/1759904803 2025-12-04T08:57:30.1344855Z * [new tag] viable/strict/1759908300 -> viable/strict/1759908300 2025-12-04T08:57:30.1345598Z * [new tag] viable/strict/1759915520 -> viable/strict/1759915520 2025-12-04T08:57:30.1346145Z * [new tag] viable/strict/1759916978 -> viable/strict/1759916978 2025-12-04T08:57:30.1346539Z * [new tag] viable/strict/1759930024 -> viable/strict/1759930024 2025-12-04T08:57:30.1347061Z * [new tag] viable/strict/1759948122 -> viable/strict/1759948122 2025-12-04T08:57:30.1347584Z * [new tag] viable/strict/1759952983 -> viable/strict/1759952983 2025-12-04T08:57:30.1348285Z * [new tag] viable/strict/1759955121 -> viable/strict/1759955121 2025-12-04T08:57:30.1348612Z * [new tag] viable/strict/1759962298 -> viable/strict/1759962298 2025-12-04T08:57:30.1349075Z * [new tag] viable/strict/1759965837 -> viable/strict/1759965837 2025-12-04T08:57:30.1349558Z * [new tag] viable/strict/1759970213 -> viable/strict/1759970213 2025-12-04T08:57:30.1350025Z * [new tag] viable/strict/1759974894 -> viable/strict/1759974894 2025-12-04T08:57:30.1350484Z * [new tag] viable/strict/1759977763 -> viable/strict/1759977763 2025-12-04T08:57:30.1351113Z * [new tag] viable/strict/1759979241 -> viable/strict/1759979241 2025-12-04T08:57:30.1351517Z * [new tag] viable/strict/1759985417 -> viable/strict/1759985417 2025-12-04T08:57:30.1351988Z * [new tag] viable/strict/1759987490 -> viable/strict/1759987490 2025-12-04T08:57:30.1352483Z * [new tag] viable/strict/1759996180 -> viable/strict/1759996180 2025-12-04T08:57:30.1352967Z * [new tag] viable/strict/1760065682 -> viable/strict/1760065682 2025-12-04T08:57:30.1353455Z * [new tag] viable/strict/1760066894 -> viable/strict/1760066894 2025-12-04T08:57:30.1354147Z * [new tag] viable/strict/1760070345 -> viable/strict/1760070345 2025-12-04T08:57:30.1354514Z * [new tag] viable/strict/1760089782 -> viable/strict/1760089782 2025-12-04T08:57:30.1354990Z * [new tag] viable/strict/1760091921 -> viable/strict/1760091921 2025-12-04T08:57:30.1355475Z * [new tag] viable/strict/1760127924 -> viable/strict/1760127924 2025-12-04T08:57:30.1355952Z * [new tag] viable/strict/1760129489 -> viable/strict/1760129489 2025-12-04T08:57:30.1356646Z * [new tag] viable/strict/1760132980 -> viable/strict/1760132980 2025-12-04T08:57:30.1357091Z * [new tag] viable/strict/1760135060 -> viable/strict/1760135060 2025-12-04T08:57:30.1357559Z * [new tag] viable/strict/1760215782 -> viable/strict/1760215782 2025-12-04T08:57:30.1358066Z * [new tag] viable/strict/1760273849 -> viable/strict/1760273849 2025-12-04T08:57:30.1358552Z * [new tag] viable/strict/1760275517 -> viable/strict/1760275517 2025-12-04T08:57:30.1359028Z * [new tag] viable/strict/1760276979 -> viable/strict/1760276979 2025-12-04T08:57:30.1359522Z * [new tag] viable/strict/1760279007 -> viable/strict/1760279007 2025-12-04T08:57:30.1359905Z * [new tag] viable/strict/1760286328 -> viable/strict/1760286328 2025-12-04T08:57:30.1360277Z * [new tag] viable/strict/1760493304 -> viable/strict/1760493304 2025-12-04T08:57:30.1360758Z * [new tag] viable/strict/1760496298 -> viable/strict/1760496298 2025-12-04T08:57:30.1361312Z * [new tag] viable/strict/1760518396 -> viable/strict/1760518396 2025-12-04T08:57:30.1362222Z * [new tag] viable/strict/1760534864 -> viable/strict/1760534864 2025-12-04T08:57:30.1362693Z * [new tag] viable/strict/1760549062 -> viable/strict/1760549062 2025-12-04T08:57:30.1363202Z * [new tag] viable/strict/1760552799 -> viable/strict/1760552799 2025-12-04T08:57:30.1363702Z * [new tag] viable/strict/1760554355 -> viable/strict/1760554355 2025-12-04T08:57:30.1364375Z * [new tag] viable/strict/1760556275 -> viable/strict/1760556275 2025-12-04T08:57:30.1364713Z * [new tag] viable/strict/1760564979 -> viable/strict/1760564979 2025-12-04T08:57:30.1365298Z * [new tag] viable/strict/1760567049 -> viable/strict/1760567049 2025-12-04T08:57:30.1366155Z * [new tag] viable/strict/1760568585 -> viable/strict/1760568585 2025-12-04T08:57:30.1366568Z * [new tag] viable/strict/1760570630 -> viable/strict/1760570630 2025-12-04T08:57:30.1367014Z * [new tag] viable/strict/1760572180 -> viable/strict/1760572180 2025-12-04T08:57:30.1367514Z * [new tag] viable/strict/1760575094 -> viable/strict/1760575094 2025-12-04T08:57:30.1368232Z * [new tag] viable/strict/1760579709 -> viable/strict/1760579709 2025-12-04T08:57:30.1369128Z * [new tag] viable/strict/1760582614 -> viable/strict/1760582614 2025-12-04T08:57:30.1369624Z * [new tag] viable/strict/1760586815 -> viable/strict/1760586815 2025-12-04T08:57:30.1370068Z * [new tag] viable/strict/1760588829 -> viable/strict/1760588829 2025-12-04T08:57:30.1370576Z * [new tag] viable/strict/1760590200 -> viable/strict/1760590200 2025-12-04T08:57:30.1371095Z * [new tag] viable/strict/1760592311 -> viable/strict/1760592311 2025-12-04T08:57:30.1371640Z * [new tag] viable/strict/1760619733 -> viable/strict/1760619733 2025-12-04T08:57:30.1372047Z * [new tag] viable/strict/1760628335 -> viable/strict/1760628335 2025-12-04T08:57:30.1372595Z * [new tag] viable/strict/1760635490 -> viable/strict/1760635490 2025-12-04T08:57:30.1373105Z * [new tag] viable/strict/1760640743 -> viable/strict/1760640743 2025-12-04T08:57:30.1373616Z * [new tag] viable/strict/1760642528 -> viable/strict/1760642528 2025-12-04T08:57:30.1374124Z * [new tag] viable/strict/1760646330 -> viable/strict/1760646330 2025-12-04T08:57:30.1374620Z * [new tag] viable/strict/1760666101 -> viable/strict/1760666101 2025-12-04T08:57:30.1375144Z * [new tag] viable/strict/1760668990 -> viable/strict/1760668990 2025-12-04T08:57:30.1375663Z * [new tag] viable/strict/1760670600 -> viable/strict/1760670600 2025-12-04T08:57:30.1376201Z * [new tag] viable/strict/1760671704 -> viable/strict/1760671704 2025-12-04T08:57:30.1376740Z * [new tag] viable/strict/1760673121 -> viable/strict/1760673121 2025-12-04T08:57:30.1377221Z * [new tag] viable/strict/1760675352 -> viable/strict/1760675352 2025-12-04T08:57:30.1377754Z * [new tag] viable/strict/1760696731 -> viable/strict/1760696731 2025-12-04T08:57:30.1379434Z * [new tag] viable/strict/1760723515 -> viable/strict/1760723515 2025-12-04T08:57:30.1379863Z * [new tag] viable/strict/1760727234 -> viable/strict/1760727234 2025-12-04T08:57:30.1380516Z * [new tag] viable/strict/1760730578 -> viable/strict/1760730578 2025-12-04T08:57:30.1380903Z * [new tag] viable/strict/1760732726 -> viable/strict/1760732726 2025-12-04T08:57:30.1381405Z * [new tag] viable/strict/1760734180 -> viable/strict/1760734180 2025-12-04T08:57:30.1381979Z * [new tag] viable/strict/1760736251 -> viable/strict/1760736251 2025-12-04T08:57:30.1382397Z * [new tag] viable/strict/1760737772 -> viable/strict/1760737772 2025-12-04T08:57:30.1382890Z * [new tag] viable/strict/1760758005 -> viable/strict/1760758005 2025-12-04T08:57:30.1383344Z * [new tag] viable/strict/1760761532 -> viable/strict/1760761532 2025-12-04T08:57:30.1383852Z * [new tag] viable/strict/1760802581 -> viable/strict/1760802581 2025-12-04T08:57:30.1384314Z * [new tag] viable/strict/1760827772 -> viable/strict/1760827772 2025-12-04T08:57:30.1384958Z * [new tag] viable/strict/1760834524 -> viable/strict/1760834524 2025-12-04T08:57:30.1385740Z * [new tag] viable/strict/1760845009 -> viable/strict/1760845009 2025-12-04T08:57:30.1386170Z * [new tag] viable/strict/1760876836 -> viable/strict/1760876836 2025-12-04T08:57:30.1386835Z * [new tag] viable/strict/1760880329 -> viable/strict/1760880329 2025-12-04T08:57:30.1387215Z * [new tag] viable/strict/1760888987 -> viable/strict/1760888987 2025-12-04T08:57:30.1387671Z * [new tag] viable/strict/1760912664 -> viable/strict/1760912664 2025-12-04T08:57:30.1388158Z * [new tag] viable/strict/1760925321 -> viable/strict/1760925321 2025-12-04T08:57:30.1388626Z * [new tag] viable/strict/1760931488 -> viable/strict/1760931488 2025-12-04T08:57:30.1389097Z * [new tag] viable/strict/1760932693 -> viable/strict/1760932693 2025-12-04T08:57:30.1390065Z * [new tag] viable/strict/1761004184 -> viable/strict/1761004184 2025-12-04T08:57:30.1390235Z * [new tag] viable/strict/1761014748 -> viable/strict/1761014748 2025-12-04T08:57:30.1390716Z * [new tag] viable/strict/1761017491 -> viable/strict/1761017491 2025-12-04T08:57:30.1391179Z * [new tag] viable/strict/1761018806 -> viable/strict/1761018806 2025-12-04T08:57:30.1391721Z * [new tag] viable/strict/1761020754 -> viable/strict/1761020754 2025-12-04T08:57:30.1392211Z * [new tag] viable/strict/1761024303 -> viable/strict/1761024303 2025-12-04T08:57:30.1392659Z * [new tag] viable/strict/1761029582 -> viable/strict/1761029582 2025-12-04T08:57:30.1393151Z * [new tag] viable/strict/1761031535 -> viable/strict/1761031535 2025-12-04T08:57:30.1393621Z * [new tag] viable/strict/1761035196 -> viable/strict/1761035196 2025-12-04T08:57:30.1394279Z * [new tag] viable/strict/1761045825 -> viable/strict/1761045825 2025-12-04T08:57:30.1394721Z * [new tag] viable/strict/1761054796 -> viable/strict/1761054796 2025-12-04T08:57:30.1395195Z * [new tag] viable/strict/1761060314 -> viable/strict/1761060314 2025-12-04T08:57:30.1395684Z * [new tag] viable/strict/1761071198 -> viable/strict/1761071198 2025-12-04T08:57:30.1396324Z * [new tag] viable/strict/1761074628 -> viable/strict/1761074628 2025-12-04T08:57:30.1397241Z * [new tag] viable/strict/1761078351 -> viable/strict/1761078351 2025-12-04T08:57:30.1397643Z * [new tag] viable/strict/1761079822 -> viable/strict/1761079822 2025-12-04T08:57:30.1398105Z * [new tag] viable/strict/1761081873 -> viable/strict/1761081873 2025-12-04T08:57:30.1398605Z * [new tag] viable/strict/1761083392 -> viable/strict/1761083392 2025-12-04T08:57:30.1399119Z * [new tag] viable/strict/1761085465 -> viable/strict/1761085465 2025-12-04T08:57:30.1399750Z * [new tag] viable/strict/1761089099 -> viable/strict/1761089099 2025-12-04T08:57:30.1400124Z * [new tag] viable/strict/1761095535 -> viable/strict/1761095535 2025-12-04T08:57:30.1400619Z * [new tag] viable/strict/1761098119 -> viable/strict/1761098119 2025-12-04T08:57:30.1401470Z * [new tag] viable/strict/1761101330 -> viable/strict/1761101330 2025-12-04T08:57:30.1401936Z * [new tag] viable/strict/1761114425 -> viable/strict/1761114425 2025-12-04T08:57:30.1402371Z * [new tag] viable/strict/1761116036 -> viable/strict/1761116036 2025-12-04T08:57:30.1402824Z * [new tag] viable/strict/1761119379 -> viable/strict/1761119379 2025-12-04T08:57:30.1403273Z * [new tag] viable/strict/1761121601 -> viable/strict/1761121601 2025-12-04T08:57:30.1403911Z * [new tag] viable/strict/1761123234 -> viable/strict/1761123234 2025-12-04T08:57:30.1404275Z * [new tag] viable/strict/1761126621 -> viable/strict/1761126621 2025-12-04T08:57:30.1404946Z * [new tag] viable/strict/1761132259 -> viable/strict/1761132259 2025-12-04T08:57:30.1405284Z * [new tag] viable/strict/1761146746 -> viable/strict/1761146746 2025-12-04T08:57:30.1405769Z * [new tag] viable/strict/1761164752 -> viable/strict/1761164752 2025-12-04T08:57:30.1406251Z * [new tag] viable/strict/1761166198 -> viable/strict/1761166198 2025-12-04T08:57:30.1406752Z * [new tag] viable/strict/1761175424 -> viable/strict/1761175424 2025-12-04T08:57:30.1407232Z * [new tag] viable/strict/1761176983 -> viable/strict/1761176983 2025-12-04T08:57:30.1407910Z * [new tag] viable/strict/1761179891 -> viable/strict/1761179891 2025-12-04T08:57:30.1408324Z * [new tag] viable/strict/1761181930 -> viable/strict/1761181930 2025-12-04T08:57:30.1408790Z * [new tag] viable/strict/1761184516 -> viable/strict/1761184516 2025-12-04T08:57:30.1409425Z * [new tag] viable/strict/1761190179 -> viable/strict/1761190179 2025-12-04T08:57:30.1409783Z * [new tag] viable/strict/1761193558 -> viable/strict/1761193558 2025-12-04T08:57:30.1410264Z * [new tag] viable/strict/1761207990 -> viable/strict/1761207990 2025-12-04T08:57:30.1410719Z * [new tag] viable/strict/1761229539 -> viable/strict/1761229539 2025-12-04T08:57:30.1411485Z * [new tag] viable/strict/1761244031 -> viable/strict/1761244031 2025-12-04T08:57:30.1411888Z * [new tag] viable/strict/1761248986 -> viable/strict/1761248986 2025-12-04T08:57:30.1412435Z * [new tag] viable/strict/1761259791 -> viable/strict/1761259791 2025-12-04T08:57:30.1412941Z * [new tag] viable/strict/1761266139 -> viable/strict/1761266139 2025-12-04T08:57:30.1413693Z * [new tag] viable/strict/1761268316 -> viable/strict/1761268316 2025-12-04T08:57:30.1414168Z * [new tag] viable/strict/1761273805 -> viable/strict/1761273805 2025-12-04T08:57:30.1414655Z * [new tag] viable/strict/1761275261 -> viable/strict/1761275261 2025-12-04T08:57:30.1415191Z * [new tag] viable/strict/1761277913 -> viable/strict/1761277913 2025-12-04T08:57:30.1415893Z * [new tag] viable/strict/1761290701 -> viable/strict/1761290701 2025-12-04T08:57:30.1416399Z * [new tag] viable/strict/1761294396 -> viable/strict/1761294396 2025-12-04T08:57:30.1416928Z * [new tag] viable/strict/1761303047 -> viable/strict/1761303047 2025-12-04T08:57:30.1417493Z * [new tag] viable/strict/1761335388 -> viable/strict/1761335388 2025-12-04T08:57:30.1418000Z * [new tag] viable/strict/1761337551 -> viable/strict/1761337551 2025-12-04T08:57:30.1418525Z * [new tag] viable/strict/1761339007 -> viable/strict/1761339007 2025-12-04T08:57:30.1419046Z * [new tag] viable/strict/1761341050 -> viable/strict/1761341050 2025-12-04T08:57:30.1419653Z * [new tag] viable/strict/1761346188 -> viable/strict/1761346188 2025-12-04T08:57:30.1420365Z * [new tag] viable/strict/1761349792 -> viable/strict/1761349792 2025-12-04T08:57:30.1420695Z * [new tag] viable/strict/1761352620 -> viable/strict/1761352620 2025-12-04T08:57:30.1421208Z * [new tag] viable/strict/1761354730 -> viable/strict/1761354730 2025-12-04T08:57:30.1421868Z * [new tag] viable/strict/1761357298 -> viable/strict/1761357298 2025-12-04T08:57:30.1422270Z * [new tag] viable/strict/1761360201 -> viable/strict/1761360201 2025-12-04T08:57:30.1422762Z * [new tag] viable/strict/1761361753 -> viable/strict/1761361753 2025-12-04T08:57:30.1423238Z * [new tag] viable/strict/1761364351 -> viable/strict/1761364351 2025-12-04T08:57:30.1423698Z * [new tag] viable/strict/1761366338 -> viable/strict/1761366338 2025-12-04T08:57:30.1424420Z * [new tag] viable/strict/1761367802 -> viable/strict/1761367802 2025-12-04T08:57:30.1424876Z * [new tag] viable/strict/1761369889 -> viable/strict/1761369889 2025-12-04T08:57:30.1425664Z * [new tag] viable/strict/1761371385 -> viable/strict/1761371385 2025-12-04T08:57:30.1426169Z * [new tag] viable/strict/1761373581 -> viable/strict/1761373581 2025-12-04T08:57:30.1426858Z * [new tag] viable/strict/1761375054 -> viable/strict/1761375054 2025-12-04T08:57:30.1427327Z * [new tag] viable/strict/1761421785 -> viable/strict/1761421785 2025-12-04T08:57:30.1427991Z * [new tag] viable/strict/1761434614 -> viable/strict/1761434614 2025-12-04T08:57:30.1428712Z * [new tag] viable/strict/1761439254 -> viable/strict/1761439254 2025-12-04T08:57:30.1429178Z * [new tag] viable/strict/1761454187 -> viable/strict/1761454187 2025-12-04T08:57:30.1430516Z * [new tag] viable/strict/1761459991 -> viable/strict/1761459991 2025-12-04T08:57:30.1430708Z * [new tag] viable/strict/1761470668 -> viable/strict/1761470668 2025-12-04T08:57:30.1431755Z * [new tag] viable/strict/1761472188 -> viable/strict/1761472188 2025-12-04T08:57:30.1432519Z * [new tag] viable/strict/1761503178 -> viable/strict/1761503178 2025-12-04T08:57:30.1433746Z * [new tag] viable/strict/1761517492 -> viable/strict/1761517492 2025-12-04T08:57:30.1434167Z * [new tag] viable/strict/1761518981 -> viable/strict/1761518981 2025-12-04T08:57:30.1434324Z * [new tag] viable/strict/1761533609 -> viable/strict/1761533609 2025-12-04T08:57:30.1434775Z * [new tag] viable/strict/1761546438 -> viable/strict/1761546438 2025-12-04T08:57:30.1435583Z * [new tag] viable/strict/1761548133 -> viable/strict/1761548133 2025-12-04T08:57:30.1436356Z * [new tag] viable/strict/1761555186 -> viable/strict/1761555186 2025-12-04T08:57:30.1436856Z * [new tag] viable/strict/1761557178 -> viable/strict/1761557178 2025-12-04T08:57:30.1437536Z * [new tag] viable/strict/1761560772 -> viable/strict/1761560772 2025-12-04T08:57:30.1437965Z * [new tag] viable/strict/1761562266 -> viable/strict/1761562266 2025-12-04T08:57:30.1438609Z * [new tag] viable/strict/1761564260 -> viable/strict/1761564260 2025-12-04T08:57:30.1439055Z * [new tag] viable/strict/1761568072 -> viable/strict/1761568072 2025-12-04T08:57:30.1439583Z * [new tag] viable/strict/1761571683 -> viable/strict/1761571683 2025-12-04T08:57:30.1440040Z * [new tag] viable/strict/1761580199 -> viable/strict/1761580199 2025-12-04T08:57:30.1440728Z * [new tag] viable/strict/1761587383 -> viable/strict/1761587383 2025-12-04T08:57:30.1441333Z * [new tag] viable/strict/1761591165 -> viable/strict/1761591165 2025-12-04T08:57:30.1441774Z * [new tag] viable/strict/1761594575 -> viable/strict/1761594575 2025-12-04T08:57:30.1442298Z * [new tag] viable/strict/1761596710 -> viable/strict/1761596710 2025-12-04T08:57:30.1442829Z * [new tag] viable/strict/1761598189 -> viable/strict/1761598189 2025-12-04T08:57:30.1443410Z * [new tag] viable/strict/1761600254 -> viable/strict/1761600254 2025-12-04T08:57:30.1443883Z * [new tag] viable/strict/1761603879 -> viable/strict/1761603879 2025-12-04T08:57:30.1444561Z * [new tag] viable/strict/1761605429 -> viable/strict/1761605429 2025-12-04T08:57:30.1445064Z * [new tag] viable/strict/1761607468 -> viable/strict/1761607468 2025-12-04T08:57:30.1445698Z * [new tag] viable/strict/1761608983 -> viable/strict/1761608983 2025-12-04T08:57:30.1446161Z * [new tag] viable/strict/1761611846 -> viable/strict/1761611846 2025-12-04T08:57:30.1446972Z * [new tag] viable/strict/1761613922 -> viable/strict/1761613922 2025-12-04T08:57:30.1447876Z * [new tag] viable/strict/1761616504 -> viable/strict/1761616504 2025-12-04T08:57:30.1448416Z * [new tag] viable/strict/1761619599 -> viable/strict/1761619599 2025-12-04T08:57:30.1448693Z * [new tag] viable/strict/1761686693 -> viable/strict/1761686693 2025-12-04T08:57:30.1449394Z * [new tag] viable/strict/1761688179 -> viable/strict/1761688179 2025-12-04T08:57:30.1450037Z * [new tag] viable/strict/1761691973 -> viable/strict/1761691973 2025-12-04T08:57:30.1451076Z * [new tag] viable/strict/1761693884 -> viable/strict/1761693884 2025-12-04T08:57:30.1451628Z * [new tag] viable/strict/1761695389 -> viable/strict/1761695389 2025-12-04T08:57:30.1452506Z * [new tag] viable/strict/1761698408 -> viable/strict/1761698408 2025-12-04T08:57:30.1453248Z * [new tag] viable/strict/1761702931 -> viable/strict/1761702931 2025-12-04T08:57:30.1454125Z * [new tag] viable/strict/1761706307 -> viable/strict/1761706307 2025-12-04T08:57:30.1454844Z * [new tag] viable/strict/1761709065 -> viable/strict/1761709065 2025-12-04T08:57:30.1455788Z * [new tag] viable/strict/1761710285 -> viable/strict/1761710285 2025-12-04T08:57:30.1456534Z * [new tag] viable/strict/1761711983 -> viable/strict/1761711983 2025-12-04T08:57:30.1457424Z * [new tag] viable/strict/1761713514 -> viable/strict/1761713514 2025-12-04T08:57:30.1458282Z * [new tag] viable/strict/1761715523 -> viable/strict/1761715523 2025-12-04T08:57:30.1459077Z * [new tag] viable/strict/1761727973 -> viable/strict/1761727973 2025-12-04T08:57:30.1459916Z * [new tag] viable/strict/1761751558 -> viable/strict/1761751558 2025-12-04T08:57:30.1460682Z * [new tag] viable/strict/1761755187 -> viable/strict/1761755187 2025-12-04T08:57:30.1461350Z * [new tag] viable/strict/1761756826 -> viable/strict/1761756826 2025-12-04T08:57:30.1462196Z * [new tag] viable/strict/1761769551 -> viable/strict/1761769551 2025-12-04T08:57:30.1462977Z * [new tag] viable/strict/1761771032 -> viable/strict/1761771032 2025-12-04T08:57:30.1463550Z * [new tag] viable/strict/1761773101 -> viable/strict/1761773101 2025-12-04T08:57:30.1464426Z * [new tag] viable/strict/1761781792 -> viable/strict/1761781792 2025-12-04T08:57:30.1465386Z * [new tag] viable/strict/1761784788 -> viable/strict/1761784788 2025-12-04T08:57:30.1466189Z * [new tag] viable/strict/1761786740 -> viable/strict/1761786740 2025-12-04T08:57:30.1467071Z * [new tag] viable/strict/1761789332 -> viable/strict/1761789332 2025-12-04T08:57:30.1468215Z * [new tag] viable/strict/1761792569 -> viable/strict/1761792569 2025-12-04T08:57:30.1468892Z * [new tag] viable/strict/1761795289 -> viable/strict/1761795289 2025-12-04T08:57:30.1469694Z * [new tag] viable/strict/1761798345 -> viable/strict/1761798345 2025-12-04T08:57:30.1470463Z * [new tag] viable/strict/1761799827 -> viable/strict/1761799827 2025-12-04T08:57:30.1471233Z * [new tag] viable/strict/1761805604 -> viable/strict/1761805604 2025-12-04T08:57:30.1472018Z * [new tag] viable/strict/1761807202 -> viable/strict/1761807202 2025-12-04T08:57:30.1472766Z * [new tag] viable/strict/1761809094 -> viable/strict/1761809094 2025-12-04T08:57:30.1473533Z * [new tag] viable/strict/1761810576 -> viable/strict/1761810576 2025-12-04T08:57:30.1474336Z * [new tag] viable/strict/1761812771 -> viable/strict/1761812771 2025-12-04T08:57:30.1475094Z * [new tag] viable/strict/1761814363 -> viable/strict/1761814363 2025-12-04T08:57:30.1475867Z * [new tag] viable/strict/1761857410 -> viable/strict/1761857410 2025-12-04T08:57:30.1476494Z * [new tag] viable/strict/1761860985 -> viable/strict/1761860985 2025-12-04T08:57:30.1477533Z * [new tag] viable/strict/1761863094 -> viable/strict/1761863094 2025-12-04T08:57:30.1478276Z * [new tag] viable/strict/1761864590 -> viable/strict/1761864590 2025-12-04T08:57:30.1478881Z * [new tag] viable/strict/1761866675 -> viable/strict/1761866675 2025-12-04T08:57:30.1479843Z * [new tag] viable/strict/1761868178 -> viable/strict/1761868178 2025-12-04T08:57:30.1480711Z * [new tag] viable/strict/1761871111 -> viable/strict/1761871111 2025-12-04T08:57:30.1481292Z * [new tag] viable/strict/1761873126 -> viable/strict/1761873126 2025-12-04T08:57:30.1482092Z * [new tag] viable/strict/1761875714 -> viable/strict/1761875714 2025-12-04T08:57:30.1482845Z * [new tag] viable/strict/1761878924 -> viable/strict/1761878924 2025-12-04T08:57:30.1483593Z * [new tag] viable/strict/1761881727 -> viable/strict/1761881727 2025-12-04T08:57:30.1484402Z * [new tag] viable/strict/1761882959 -> viable/strict/1761882959 2025-12-04T08:57:30.1485010Z * [new tag] viable/strict/1761886268 -> viable/strict/1761886268 2025-12-04T08:57:30.1485775Z * [new tag] viable/strict/1761893641 -> viable/strict/1761893641 2025-12-04T08:57:30.1486531Z * [new tag] viable/strict/1761931517 -> viable/strict/1761931517 2025-12-04T08:57:30.1487240Z * [new tag] viable/strict/1761933080 -> viable/strict/1761933080 2025-12-04T08:57:30.1488020Z * [new tag] viable/strict/1761935217 -> viable/strict/1761935217 2025-12-04T08:57:30.1488779Z * [new tag] viable/strict/1761938533 -> viable/strict/1761938533 2025-12-04T08:57:30.1489534Z * [new tag] viable/strict/1761940184 -> viable/strict/1761940184 2025-12-04T08:57:30.1490284Z * [new tag] viable/strict/1761942338 -> viable/strict/1761942338 2025-12-04T08:57:30.1491096Z * [new tag] viable/strict/1761946100 -> viable/strict/1761946100 2025-12-04T08:57:30.1491712Z * [new tag] viable/strict/1761947374 -> viable/strict/1761947374 2025-12-04T08:57:30.1492521Z * [new tag] viable/strict/1761950978 -> viable/strict/1761950978 2025-12-04T08:57:30.1493376Z * [new tag] viable/strict/1761957727 -> viable/strict/1761957727 2025-12-04T08:57:30.1494055Z * [new tag] viable/strict/1761959532 -> viable/strict/1761959532 2025-12-04T08:57:30.1494979Z * [new tag] viable/strict/1761965366 -> viable/strict/1761965366 2025-12-04T08:57:30.1495896Z * [new tag] viable/strict/1761968066 -> viable/strict/1761968066 2025-12-04T08:57:30.1496709Z * [new tag] viable/strict/1761969322 -> viable/strict/1761969322 2025-12-04T08:57:30.1497539Z * [new tag] viable/strict/1761974723 -> viable/strict/1761974723 2025-12-04T08:57:30.1498437Z * [new tag] viable/strict/1761981837 -> viable/strict/1761981837 2025-12-04T08:57:30.1499337Z * [new tag] viable/strict/1761985546 -> viable/strict/1761985546 2025-12-04T08:57:30.1500238Z * [new tag] viable/strict/1761987030 -> viable/strict/1761987030 2025-12-04T08:57:30.1502359Z * [new tag] viable/strict/1762003554 -> viable/strict/1762003554 2025-12-04T08:57:30.1502574Z * [new tag] viable/strict/1762021560 -> viable/strict/1762021560 2025-12-04T08:57:30.1502773Z * [new tag] viable/strict/1762032190 -> viable/strict/1762032190 2025-12-04T08:57:30.1503825Z * [new tag] viable/strict/1762040981 -> viable/strict/1762040981 2025-12-04T08:57:30.1504031Z * [new tag] viable/strict/1762048525 -> viable/strict/1762048525 2025-12-04T08:57:30.1504552Z * [new tag] viable/strict/1762104223 -> viable/strict/1762104223 2025-12-04T08:57:30.1505621Z * [new tag] viable/strict/1762105778 -> viable/strict/1762105778 2025-12-04T08:57:30.1506346Z * [new tag] viable/strict/1762115109 -> viable/strict/1762115109 2025-12-04T08:57:30.1507145Z * [new tag] viable/strict/1762125840 -> viable/strict/1762125840 2025-12-04T08:57:30.1507683Z * [new tag] viable/strict/1762127377 -> viable/strict/1762127377 2025-12-04T08:57:30.1508793Z * [new tag] viable/strict/1762134925 -> viable/strict/1762134925 2025-12-04T08:57:30.1509323Z * [new tag] viable/strict/1762138338 -> viable/strict/1762138338 2025-12-04T08:57:30.1510136Z * [new tag] viable/strict/1762148993 -> viable/strict/1762148993 2025-12-04T08:57:30.1510883Z * [new tag] viable/strict/1762152871 -> viable/strict/1762152871 2025-12-04T08:57:30.1511617Z * [new tag] viable/strict/1762156183 -> viable/strict/1762156183 2025-12-04T08:57:30.1512382Z * [new tag] viable/strict/1762163457 -> viable/strict/1762163457 2025-12-04T08:57:30.1513135Z * [new tag] viable/strict/1762165569 -> viable/strict/1762165569 2025-12-04T08:57:30.1513723Z * [new tag] viable/strict/1762169035 -> viable/strict/1762169035 2025-12-04T08:57:30.1514385Z * [new tag] viable/strict/1762174936 -> viable/strict/1762174936 2025-12-04T08:57:30.1514943Z * [new tag] viable/strict/1762194412 -> viable/strict/1762194412 2025-12-04T08:57:30.1515838Z * [new tag] viable/strict/1762195876 -> viable/strict/1762195876 2025-12-04T08:57:30.1516401Z * [new tag] viable/strict/1762197788 -> viable/strict/1762197788 2025-12-04T08:57:30.1517188Z * [new tag] viable/strict/1762199389 -> viable/strict/1762199389 2025-12-04T08:57:30.1518142Z * [new tag] viable/strict/1762206585 -> viable/strict/1762206585 2025-12-04T08:57:30.1518961Z * [new tag] viable/strict/1762210184 -> viable/strict/1762210184 2025-12-04T08:57:30.1519508Z * [new tag] viable/strict/1762218736 -> viable/strict/1762218736 2025-12-04T08:57:30.1520297Z * [new tag] viable/strict/1762224529 -> viable/strict/1762224529 2025-12-04T08:57:30.1521099Z * [new tag] viable/strict/1762227253 -> viable/strict/1762227253 2025-12-04T08:57:30.1521662Z * [new tag] viable/strict/1762228515 -> viable/strict/1762228515 2025-12-04T08:57:30.1522672Z * [new tag] viable/strict/1762230349 -> viable/strict/1762230349 2025-12-04T08:57:30.1523256Z * [new tag] viable/strict/1762231859 -> viable/strict/1762231859 2025-12-04T08:57:30.1524010Z * [new tag] viable/strict/1762233925 -> viable/strict/1762233925 2025-12-04T08:57:30.1524909Z * [new tag] viable/strict/1762237630 -> viable/strict/1762237630 2025-12-04T08:57:30.1525450Z * [new tag] viable/strict/1762253522 -> viable/strict/1762253522 2025-12-04T08:57:30.1526707Z * [new tag] viable/strict/1762278588 -> viable/strict/1762278588 2025-12-04T08:57:30.1527356Z * [new tag] viable/strict/1762284203 -> viable/strict/1762284203 2025-12-04T08:57:30.1528159Z * [new tag] viable/strict/1762289446 -> viable/strict/1762289446 2025-12-04T08:57:30.1528995Z * [new tag] viable/strict/1762291515 -> viable/strict/1762291515 2025-12-04T08:57:30.1530591Z * [new tag] viable/strict/1762295100 -> viable/strict/1762295100 2025-12-04T08:57:30.1532100Z * [new tag] viable/strict/1762296590 -> viable/strict/1762296590 2025-12-04T08:57:30.1532716Z * [new tag] viable/strict/1762300179 -> viable/strict/1762300179 2025-12-04T08:57:30.1533332Z * [new tag] viable/strict/1762303207 -> viable/strict/1762303207 2025-12-04T08:57:30.1534262Z * [new tag] viable/strict/1762386584 -> viable/strict/1762386584 2025-12-04T08:57:30.1535067Z * [new tag] viable/strict/1762391537 -> viable/strict/1762391537 2025-12-04T08:57:30.1535535Z * [new tag] viable/strict/1762394119 -> viable/strict/1762394119 2025-12-04T08:57:30.1536814Z * [new tag] viable/strict/1762397437 -> viable/strict/1762397437 2025-12-04T08:57:30.1537455Z * [new tag] viable/strict/1762400256 -> viable/strict/1762400256 2025-12-04T08:57:30.1538317Z * [new tag] viable/strict/1762401469 -> viable/strict/1762401469 2025-12-04T08:57:30.1539167Z * [new tag] viable/strict/1762408195 -> viable/strict/1762408195 2025-12-04T08:57:30.1540034Z * [new tag] viable/strict/1762410411 -> viable/strict/1762410411 2025-12-04T08:57:30.1540810Z * [new tag] viable/strict/1762417613 -> viable/strict/1762417613 2025-12-04T08:57:30.1541556Z * [new tag] viable/strict/1762419198 -> viable/strict/1762419198 2025-12-04T08:57:30.1542298Z * [new tag] viable/strict/1762422656 -> viable/strict/1762422656 2025-12-04T08:57:30.1543510Z * [new tag] viable/strict/1762424746 -> viable/strict/1762424746 2025-12-04T08:57:30.1544253Z * [new tag] viable/strict/1762446386 -> viable/strict/1762446386 2025-12-04T08:57:30.1545070Z * [new tag] viable/strict/1762449912 -> viable/strict/1762449912 2025-12-04T08:57:30.1546001Z * [new tag] viable/strict/1762457031 -> viable/strict/1762457031 2025-12-04T08:57:30.1546840Z * [new tag] viable/strict/1762462441 -> viable/strict/1762462441 2025-12-04T08:57:30.1547589Z * [new tag] viable/strict/1762467909 -> viable/strict/1762467909 2025-12-04T08:57:30.1548387Z * [new tag] viable/strict/1762471493 -> viable/strict/1762471493 2025-12-04T08:57:30.1549131Z * [new tag] viable/strict/1762475990 -> viable/strict/1762475990 2025-12-04T08:57:30.1550016Z * [new tag] viable/strict/1762477933 -> viable/strict/1762477933 2025-12-04T08:57:30.1550669Z * [new tag] viable/strict/1762491053 -> viable/strict/1762491053 2025-12-04T08:57:30.1551498Z * [new tag] viable/strict/1762493118 -> viable/strict/1762493118 2025-12-04T08:57:30.1552136Z * [new tag] viable/strict/1762498442 -> viable/strict/1762498442 2025-12-04T08:57:30.1553031Z * [new tag] viable/strict/1762501778 -> viable/strict/1762501778 2025-12-04T08:57:30.1553780Z * [new tag] viable/strict/1762504001 -> viable/strict/1762504001 2025-12-04T08:57:30.1554671Z * [new tag] viable/strict/1762505583 -> viable/strict/1762505583 2025-12-04T08:57:30.1555464Z * [new tag] viable/strict/1762507523 -> viable/strict/1762507523 2025-12-04T08:57:30.1556254Z * [new tag] viable/strict/1762511140 -> viable/strict/1762511140 2025-12-04T08:57:30.1557165Z * [new tag] viable/strict/1762512632 -> viable/strict/1762512632 2025-12-04T08:57:30.1557816Z * [new tag] viable/strict/1762520467 -> viable/strict/1762520467 2025-12-04T08:57:30.1558558Z * [new tag] viable/strict/1762522016 -> viable/strict/1762522016 2025-12-04T08:57:30.1559294Z * [new tag] viable/strict/1762530591 -> viable/strict/1762530591 2025-12-04T08:57:30.1560043Z * [new tag] viable/strict/1762543405 -> viable/strict/1762543405 2025-12-04T08:57:30.1560658Z * [new tag] viable/strict/1762544998 -> viable/strict/1762544998 2025-12-04T08:57:30.1561411Z * [new tag] viable/strict/1762552182 -> viable/strict/1762552182 2025-12-04T08:57:30.1562163Z * [new tag] viable/strict/1762554297 -> viable/strict/1762554297 2025-12-04T08:57:30.1562734Z * [new tag] viable/strict/1762559381 -> viable/strict/1762559381 2025-12-04T08:57:30.1563568Z * [new tag] viable/strict/1762562222 -> viable/strict/1762562222 2025-12-04T08:57:30.1564239Z * [new tag] viable/strict/1762564319 -> viable/strict/1762564319 2025-12-04T08:57:30.1564887Z * [new tag] viable/strict/1762566904 -> viable/strict/1762566904 2025-12-04T08:57:30.1565676Z * [new tag] viable/strict/1762569781 -> viable/strict/1762569781 2025-12-04T08:57:30.1566426Z * [new tag] viable/strict/1762575940 -> viable/strict/1762575940 2025-12-04T08:57:30.1567201Z * [new tag] viable/strict/1762580974 -> viable/strict/1762580974 2025-12-04T08:57:30.1567961Z * [new tag] viable/strict/1762583185 -> viable/strict/1762583185 2025-12-04T08:57:30.1568705Z * [new tag] viable/strict/1762586647 -> viable/strict/1762586647 2025-12-04T08:57:30.1569490Z * [new tag] viable/strict/1762588183 -> viable/strict/1762588183 2025-12-04T08:57:30.1570261Z * [new tag] viable/strict/1762593886 -> viable/strict/1762593886 2025-12-04T08:57:30.1571046Z * [new tag] viable/strict/1762650743 -> viable/strict/1762650743 2025-12-04T08:57:30.1571896Z * [new tag] viable/strict/1762653328 -> viable/strict/1762653328 2025-12-04T08:57:30.1572622Z * [new tag] viable/strict/1762659342 -> viable/strict/1762659342 2025-12-04T08:57:30.1573503Z * [new tag] viable/strict/1762662360 -> viable/strict/1762662360 2025-12-04T08:57:30.1574210Z * [new tag] viable/strict/1762667377 -> viable/strict/1762667377 2025-12-04T08:57:30.1575012Z * [new tag] viable/strict/1762671090 -> viable/strict/1762671090 2025-12-04T08:57:30.1575754Z * [new tag] viable/strict/1762680284 -> viable/strict/1762680284 2025-12-04T08:57:30.1576535Z * [new tag] viable/strict/1762683900 -> viable/strict/1762683900 2025-12-04T08:57:30.1577284Z * [new tag] viable/strict/1762705541 -> viable/strict/1762705541 2025-12-04T08:57:30.1578434Z * [new tag] viable/strict/1762709004 -> viable/strict/1762709004 2025-12-04T08:57:30.1579197Z * [new tag] viable/strict/1762746004 -> viable/strict/1762746004 2025-12-04T08:57:30.1580060Z * [new tag] viable/strict/1762748799 -> viable/strict/1762748799 2025-12-04T08:57:30.1580881Z * [new tag] viable/strict/1762759504 -> viable/strict/1762759504 2025-12-04T08:57:30.1581878Z * [new tag] viable/strict/1762760973 -> viable/strict/1762760973 2025-12-04T08:57:30.1582522Z * [new tag] viable/strict/1762775374 -> viable/strict/1762775374 2025-12-04T08:57:30.1583332Z * [new tag] viable/strict/1762777661 -> viable/strict/1762777661 2025-12-04T08:57:30.1584089Z * [new tag] viable/strict/1762779774 -> viable/strict/1762779774 2025-12-04T08:57:30.1585261Z * [new tag] viable/strict/1762781259 -> viable/strict/1762781259 2025-12-04T08:57:30.1586165Z * [new tag] viable/strict/1762793628 -> viable/strict/1762793628 2025-12-04T08:57:30.1587050Z * [new tag] viable/strict/1762800711 -> viable/strict/1762800711 2025-12-04T08:57:30.1587915Z * [new tag] viable/strict/1762809894 -> viable/strict/1762809894 2025-12-04T08:57:30.1588575Z * [new tag] viable/strict/1762811384 -> viable/strict/1762811384 2025-12-04T08:57:30.1589462Z * [new tag] viable/strict/1762813841 -> viable/strict/1762813841 2025-12-04T08:57:30.1590202Z * [new tag] viable/strict/1762815047 -> viable/strict/1762815047 2025-12-04T08:57:30.1591199Z * [new tag] viable/strict/1762817094 -> viable/strict/1762817094 2025-12-04T08:57:30.1592025Z * [new tag] viable/strict/1762818582 -> viable/strict/1762818582 2025-12-04T08:57:30.1592679Z * [new tag] viable/strict/1762821623 -> viable/strict/1762821623 2025-12-04T08:57:30.1593106Z * [new tag] viable/strict/1762823531 -> viable/strict/1762823531 2025-12-04T08:57:30.1593949Z * [new tag] viable/strict/1762849583 -> viable/strict/1762849583 2025-12-04T08:57:30.1594717Z * [new tag] viable/strict/1762851200 -> viable/strict/1762851200 2025-12-04T08:57:30.1595304Z * [new tag] viable/strict/1762854603 -> viable/strict/1762854603 2025-12-04T08:57:30.1596004Z * [new tag] viable/strict/1762858276 -> viable/strict/1762858276 2025-12-04T08:57:30.1596673Z * [new tag] viable/strict/1762860891 -> viable/strict/1762860891 2025-12-04T08:57:30.1597987Z * [new tag] viable/strict/1762866174 -> viable/strict/1762866174 2025-12-04T08:57:30.1598576Z * [new tag] viable/strict/1762867653 -> viable/strict/1762867653 2025-12-04T08:57:30.1599380Z * [new tag] viable/strict/1762872669 -> viable/strict/1762872669 2025-12-04T08:57:30.1599953Z * [new tag] viable/strict/1762878380 -> viable/strict/1762878380 2025-12-04T08:57:30.1600765Z * [new tag] viable/strict/1762889003 -> viable/strict/1762889003 2025-12-04T08:57:30.1601501Z * [new tag] viable/strict/1762890589 -> viable/strict/1762890589 2025-12-04T08:57:30.1602315Z * [new tag] viable/strict/1762892743 -> viable/strict/1762892743 2025-12-04T08:57:30.1603065Z * [new tag] viable/strict/1762894271 -> viable/strict/1762894271 2025-12-04T08:57:30.1603843Z * [new tag] viable/strict/1762896287 -> viable/strict/1762896287 2025-12-04T08:57:30.1604622Z * [new tag] viable/strict/1762915871 -> viable/strict/1762915871 2025-12-04T08:57:30.1605441Z * [new tag] viable/strict/1762918569 -> viable/strict/1762918569 2025-12-04T08:57:30.1606017Z * [new tag] viable/strict/1762919776 -> viable/strict/1762919776 2025-12-04T08:57:30.1606833Z * [new tag] viable/strict/1762923072 -> viable/strict/1762923072 2025-12-04T08:57:30.1607579Z * [new tag] viable/strict/1762928826 -> viable/strict/1762928826 2025-12-04T08:57:30.1608490Z * [new tag] viable/strict/1762930451 -> viable/strict/1762930451 2025-12-04T08:57:30.1609361Z * [new tag] viable/strict/1762933780 -> viable/strict/1762933780 2025-12-04T08:57:30.1610004Z * [new tag] viable/strict/1762937638 -> viable/strict/1762937638 2025-12-04T08:57:30.1611002Z * [new tag] viable/strict/1762939545 -> viable/strict/1762939545 2025-12-04T08:57:30.1611779Z * [new tag] viable/strict/1762962692 -> viable/strict/1762962692 2025-12-04T08:57:30.1612501Z * [new tag] viable/strict/1762979143 -> viable/strict/1762979143 2025-12-04T08:57:30.1613409Z * [new tag] viable/strict/1762984188 -> viable/strict/1762984188 2025-12-04T08:57:30.1614002Z * [new tag] viable/strict/1762986306 -> viable/strict/1762986306 2025-12-04T08:57:30.1614894Z * [new tag] viable/strict/1762989903 -> viable/strict/1762989903 2025-12-04T08:57:30.1615666Z * [new tag] viable/strict/1762991377 -> viable/strict/1762991377 2025-12-04T08:57:30.1616429Z * [new tag] viable/strict/1762998921 -> viable/strict/1762998921 2025-12-04T08:57:30.1617373Z * [new tag] viable/strict/1763002287 -> viable/strict/1763002287 2025-12-04T08:57:30.1618141Z * [new tag] viable/strict/1763016840 -> viable/strict/1763016840 2025-12-04T08:57:30.1618920Z * [new tag] viable/strict/1763020180 -> viable/strict/1763020180 2025-12-04T08:57:30.1619755Z * [new tag] viable/strict/1763027421 -> viable/strict/1763027421 2025-12-04T08:57:30.1620637Z * [new tag] viable/strict/1763031120 -> viable/strict/1763031120 2025-12-04T08:57:30.1621420Z * [new tag] viable/strict/1763036861 -> viable/strict/1763036861 2025-12-04T08:57:30.1622205Z * [new tag] viable/strict/1763038993 -> viable/strict/1763038993 2025-12-04T08:57:30.1623075Z * [new tag] viable/strict/1763054703 -> viable/strict/1763054703 2025-12-04T08:57:30.1623660Z * [new tag] viable/strict/1763067061 -> viable/strict/1763067061 2025-12-04T08:57:30.1624508Z * [new tag] viable/strict/1763070847 -> viable/strict/1763070847 2025-12-04T08:57:30.1625622Z * [new tag] viable/strict/1763072706 -> viable/strict/1763072706 2025-12-04T08:57:30.1626489Z * [new tag] viable/strict/1763076302 -> viable/strict/1763076302 2025-12-04T08:57:30.1627310Z * [new tag] viable/strict/1763080816 -> viable/strict/1763080816 2025-12-04T08:57:30.1628043Z * [new tag] viable/strict/1763082732 -> viable/strict/1763082732 2025-12-04T08:57:30.1628791Z * [new tag] viable/strict/1763085329 -> viable/strict/1763085329 2025-12-04T08:57:30.1634172Z * [new tag] viable/strict/1763088623 -> viable/strict/1763088623 2025-12-04T08:57:30.1634523Z * [new tag] viable/strict/1763091402 -> viable/strict/1763091402 2025-12-04T08:57:30.1634722Z * [new tag] viable/strict/1763092602 -> viable/strict/1763092602 2025-12-04T08:57:30.1634921Z * [new tag] viable/strict/1763094355 -> viable/strict/1763094355 2025-12-04T08:57:30.1635129Z * [new tag] viable/strict/1763099390 -> viable/strict/1763099390 2025-12-04T08:57:30.1635321Z * [new tag] viable/strict/1763101608 -> viable/strict/1763101608 2025-12-04T08:57:30.1635514Z * [new tag] viable/strict/1763105102 -> viable/strict/1763105102 2025-12-04T08:57:30.1635707Z * [new tag] viable/strict/1763112347 -> viable/strict/1763112347 2025-12-04T08:57:30.1635910Z * [new tag] viable/strict/1763119471 -> viable/strict/1763119471 2025-12-04T08:57:30.1636108Z * [new tag] viable/strict/1763126835 -> viable/strict/1763126835 2025-12-04T08:57:30.1636404Z * [new tag] viable/strict/1763149779 -> viable/strict/1763149779 2025-12-04T08:57:30.1637299Z * [new tag] viable/strict/1763164178 -> viable/strict/1763164178 2025-12-04T08:57:30.1637940Z * [new tag] viable/strict/1763167104 -> viable/strict/1763167104 2025-12-04T08:57:30.1638723Z * [new tag] viable/strict/1763169132 -> viable/strict/1763169132 2025-12-04T08:57:30.1639495Z * [new tag] viable/strict/1763171708 -> viable/strict/1763171708 2025-12-04T08:57:30.1640253Z * [new tag] viable/strict/1763174759 -> viable/strict/1763174759 2025-12-04T08:57:30.1641110Z * [new tag] viable/strict/1763180744 -> viable/strict/1763180744 2025-12-04T08:57:30.1641755Z * [new tag] viable/strict/1763182227 -> viable/strict/1763182227 2025-12-04T08:57:30.1642528Z * [new tag] viable/strict/1763184309 -> viable/strict/1763184309 2025-12-04T08:57:30.1643726Z * [new tag] viable/strict/1763187991 -> viable/strict/1763187991 2025-12-04T08:57:30.1644372Z * [new tag] viable/strict/1763191445 -> viable/strict/1763191445 2025-12-04T08:57:30.1645312Z * [new tag] viable/strict/1763195152 -> viable/strict/1763195152 2025-12-04T08:57:30.1645846Z * [new tag] viable/strict/1763205769 -> viable/strict/1763205769 2025-12-04T08:57:30.1646664Z * [new tag] viable/strict/1763246990 -> viable/strict/1763246990 2025-12-04T08:57:30.1647463Z * [new tag] viable/strict/1763261578 -> viable/strict/1763261578 2025-12-04T08:57:30.1648074Z * [new tag] viable/strict/1763286573 -> viable/strict/1763286573 2025-12-04T08:57:30.1648822Z * [new tag] viable/strict/1763292167 -> viable/strict/1763292167 2025-12-04T08:57:30.1649624Z * [new tag] viable/strict/1763333386 -> viable/strict/1763333386 2025-12-04T08:57:30.1650371Z * [new tag] viable/strict/1763340082 -> viable/strict/1763340082 2025-12-04T08:57:30.1651851Z * [new tag] viable/strict/1763364324 -> viable/strict/1763364324 2025-12-04T08:57:30.1652607Z * [new tag] viable/strict/1763371569 -> viable/strict/1763371569 2025-12-04T08:57:30.1653439Z * [new tag] viable/strict/1763373067 -> viable/strict/1763373067 2025-12-04T08:57:30.1654329Z * [new tag] viable/strict/1763375157 -> viable/strict/1763375157 2025-12-04T08:57:30.1655193Z * [new tag] viable/strict/1763382462 -> viable/strict/1763382462 2025-12-04T08:57:30.1656056Z * [new tag] viable/strict/1763394661 -> viable/strict/1763394661 2025-12-04T08:57:30.1657165Z * [new tag] viable/strict/1763396797 -> viable/strict/1763396797 2025-12-04T08:57:30.1658149Z * [new tag] viable/strict/1763398542 -> viable/strict/1763398542 2025-12-04T08:57:30.1658944Z * [new tag] viable/strict/1763401807 -> viable/strict/1763401807 2025-12-04T08:57:30.1659770Z * [new tag] viable/strict/1763414698 -> viable/strict/1763414698 2025-12-04T08:57:30.1660420Z * [new tag] viable/strict/1763419807 -> viable/strict/1763419807 2025-12-04T08:57:30.1661113Z * [new tag] viable/strict/1763426369 -> viable/strict/1763426369 2025-12-04T08:57:30.1661941Z * [new tag] viable/strict/1763428331 -> viable/strict/1763428331 2025-12-04T08:57:30.1662713Z * [new tag] viable/strict/1763430922 -> viable/strict/1763430922 2025-12-04T08:57:30.1663350Z * [new tag] viable/strict/1763434184 -> viable/strict/1763434184 2025-12-04T08:57:30.1664163Z * [new tag] viable/strict/1763439973 -> viable/strict/1763439973 2025-12-04T08:57:30.1665098Z * [new tag] viable/strict/1763444995 -> viable/strict/1763444995 2025-12-04T08:57:30.1666027Z * [new tag] viable/strict/1763447206 -> viable/strict/1763447206 2025-12-04T08:57:30.1666869Z * [new tag] viable/strict/1763448826 -> viable/strict/1763448826 2025-12-04T08:57:30.1667733Z * [new tag] viable/strict/1763450717 -> viable/strict/1763450717 2025-12-04T08:57:30.1668573Z * [new tag] viable/strict/1763452183 -> viable/strict/1763452183 2025-12-04T08:57:30.1669367Z * [new tag] viable/strict/1763457945 -> viable/strict/1763457945 2025-12-04T08:57:30.1670110Z * [new tag] viable/strict/1763459439 -> viable/strict/1763459439 2025-12-04T08:57:30.1670775Z * [new tag] viable/strict/1763461556 -> viable/strict/1763461556 2025-12-04T08:57:30.1671573Z * [new tag] viable/strict/1763463103 -> viable/strict/1763463103 2025-12-04T08:57:30.1672399Z * [new tag] viable/strict/1763465100 -> viable/strict/1763465100 2025-12-04T08:57:30.1673009Z * [new tag] viable/strict/1763468866 -> viable/strict/1763468866 2025-12-04T08:57:30.1673704Z * [new tag] viable/strict/1763493823 -> viable/strict/1763493823 2025-12-04T08:57:30.1674341Z * [new tag] viable/strict/1763496249 -> viable/strict/1763496249 2025-12-04T08:57:30.1675178Z * [new tag] viable/strict/1763502620 -> viable/strict/1763502620 2025-12-04T08:57:30.1676042Z * [new tag] viable/strict/1763504715 -> viable/strict/1763504715 2025-12-04T08:57:30.1676820Z * [new tag] viable/strict/1763506208 -> viable/strict/1763506208 2025-12-04T08:57:30.1677595Z * [new tag] viable/strict/1763520590 -> viable/strict/1763520590 2025-12-04T08:57:30.1678452Z * [new tag] viable/strict/1763523357 -> viable/strict/1763523357 2025-12-04T08:57:30.1679330Z * [new tag] viable/strict/1763529922 -> viable/strict/1763529922 2025-12-04T08:57:30.1680499Z * [new tag] viable/strict/1763531408 -> viable/strict/1763531408 2025-12-04T08:57:30.1681154Z * [new tag] viable/strict/1763533622 -> viable/strict/1763533622 2025-12-04T08:57:30.1682001Z * [new tag] viable/strict/1763538576 -> viable/strict/1763538576 2025-12-04T08:57:30.1682860Z * [new tag] viable/strict/1763545823 -> viable/strict/1763545823 2025-12-04T08:57:30.1683427Z * [new tag] viable/strict/1763547951 -> viable/strict/1763547951 2025-12-04T08:57:30.1684358Z * [new tag] viable/strict/1763551477 -> viable/strict/1763551477 2025-12-04T08:57:30.1685105Z * [new tag] viable/strict/1763552982 -> viable/strict/1763552982 2025-12-04T08:57:30.1685875Z * [new tag] viable/strict/1763594698 -> viable/strict/1763594698 2025-12-04T08:57:30.1686713Z * [new tag] viable/strict/1763596178 -> viable/strict/1763596178 2025-12-04T08:57:30.1687406Z * [new tag] viable/strict/1763599155 -> viable/strict/1763599155 2025-12-04T08:57:30.1688186Z * [new tag] viable/strict/1763603717 -> viable/strict/1763603717 2025-12-04T08:57:30.1688953Z * [new tag] viable/strict/1763606923 -> viable/strict/1763606923 2025-12-04T08:57:30.1689745Z * [new tag] viable/strict/1763609715 -> viable/strict/1763609715 2025-12-04T08:57:30.1690541Z * [new tag] viable/strict/1763612757 -> viable/strict/1763612757 2025-12-04T08:57:30.1691323Z * [new tag] viable/strict/1763616325 -> viable/strict/1763616325 2025-12-04T08:57:30.1692418Z * [new tag] viable/strict/1763623509 -> viable/strict/1763623509 2025-12-04T08:57:30.1693343Z * [new tag] viable/strict/1763624984 -> viable/strict/1763624984 2025-12-04T08:57:30.1694223Z * [new tag] viable/strict/1763628796 -> viable/strict/1763628796 2025-12-04T08:57:30.1694949Z * [new tag] viable/strict/1763634343 -> viable/strict/1763634343 2025-12-04T08:57:30.1695701Z * [new tag] viable/strict/1763635867 -> viable/strict/1763635867 2025-12-04T08:57:30.1696572Z * [new tag] viable/strict/1763639382 -> viable/strict/1763639382 2025-12-04T08:57:30.1697366Z * [new tag] viable/strict/1763646626 -> viable/strict/1763646626 2025-12-04T08:57:30.1698379Z * [new tag] viable/strict/1763655997 -> viable/strict/1763655997 2025-12-04T08:57:30.1699188Z * [new tag] viable/strict/1763659444 -> viable/strict/1763659444 2025-12-04T08:57:30.1700005Z * [new tag] viable/strict/1763660992 -> viable/strict/1763660992 2025-12-04T08:57:30.1700716Z * [new tag] viable/strict/1763663201 -> viable/strict/1763663201 2025-12-04T08:57:30.1701620Z * [new tag] viable/strict/1763670362 -> viable/strict/1763670362 2025-12-04T08:57:30.1702228Z * [new tag] viable/strict/1763675378 -> viable/strict/1763675378 2025-12-04T08:57:30.1703059Z * [new tag] viable/strict/1763693343 -> viable/strict/1763693343 2025-12-04T08:57:30.1703778Z * [new tag] viable/strict/1763696088 -> viable/strict/1763696088 2025-12-04T08:57:30.1704872Z * [new tag] viable/strict/1763697343 -> viable/strict/1763697343 2025-12-04T08:57:30.1705651Z * [new tag] viable/strict/1763699165 -> viable/strict/1763699165 2025-12-04T08:57:30.1706538Z * [new tag] viable/strict/1763700660 -> viable/strict/1763700660 2025-12-04T08:57:30.1707423Z * [new tag] viable/strict/1763704209 -> viable/strict/1763704209 2025-12-04T08:57:30.1708338Z * [new tag] viable/strict/1763706411 -> viable/strict/1763706411 2025-12-04T08:57:30.1708901Z * [new tag] viable/strict/1763708082 -> viable/strict/1763708082 2025-12-04T08:57:30.1709680Z * [new tag] viable/strict/1763711381 -> viable/strict/1763711381 2025-12-04T08:57:30.1710320Z * [new tag] viable/strict/1763713593 -> viable/strict/1763713593 2025-12-04T08:57:30.1711122Z * [new tag] viable/strict/1763715201 -> viable/strict/1763715201 2025-12-04T08:57:30.1711895Z * [new tag] viable/strict/1763733017 -> viable/strict/1763733017 2025-12-04T08:57:30.1712648Z * [new tag] viable/strict/1763735108 -> viable/strict/1763735108 2025-12-04T08:57:30.1713438Z * [new tag] viable/strict/1763749579 -> viable/strict/1763749579 2025-12-04T08:57:30.1714208Z * [new tag] viable/strict/1763751113 -> viable/strict/1763751113 2025-12-04T08:57:30.1715011Z * [new tag] viable/strict/1763753035 -> viable/strict/1763753035 2025-12-04T08:57:30.1715767Z * [new tag] viable/strict/1763754578 -> viable/strict/1763754578 2025-12-04T08:57:30.1716554Z * [new tag] viable/strict/1763756748 -> viable/strict/1763756748 2025-12-04T08:57:30.1717280Z * [new tag] viable/strict/1763758205 -> viable/strict/1763758205 2025-12-04T08:57:30.1717855Z * [new tag] viable/strict/1763764050 -> viable/strict/1763764050 2025-12-04T08:57:30.1718688Z * [new tag] viable/strict/1763771887 -> viable/strict/1763771887 2025-12-04T08:57:30.1719560Z * [new tag] viable/strict/1763773920 -> viable/strict/1763773920 2025-12-04T08:57:30.1720310Z * [new tag] viable/strict/1763776501 -> viable/strict/1763776501 2025-12-04T08:57:30.1720985Z * [new tag] viable/strict/1763779437 -> viable/strict/1763779437 2025-12-04T08:57:30.1722003Z * [new tag] viable/strict/1763781038 -> viable/strict/1763781038 2025-12-04T08:57:30.1722528Z * [new tag] viable/strict/1763782245 -> viable/strict/1763782245 2025-12-04T08:57:30.1723410Z * [new tag] viable/strict/1763785568 -> viable/strict/1763785568 2025-12-04T08:57:30.1724213Z * [new tag] viable/strict/1763787006 -> viable/strict/1763787006 2025-12-04T08:57:30.1725053Z * [new tag] viable/strict/1763789103 -> viable/strict/1763789103 2025-12-04T08:57:30.1725802Z * [new tag] viable/strict/1763790578 -> viable/strict/1763790578 2025-12-04T08:57:30.1726546Z * [new tag] viable/strict/1763796275 -> viable/strict/1763796275 2025-12-04T08:57:30.1727583Z * [new tag] viable/strict/1763801465 -> viable/strict/1763801465 2025-12-04T08:57:30.1728222Z * [new tag] viable/strict/1763803522 -> viable/strict/1763803522 2025-12-04T08:57:30.1728987Z * [new tag] viable/strict/1763808581 -> viable/strict/1763808581 2025-12-04T08:57:30.1730578Z * [new tag] viable/strict/1763840977 -> viable/strict/1763840977 2025-12-04T08:57:30.1735497Z * [new tag] viable/strict/1763846659 -> viable/strict/1763846659 2025-12-04T08:57:30.1736665Z * [new tag] viable/strict/1763872065 -> viable/strict/1763872065 2025-12-04T08:57:30.1737606Z * [new tag] viable/strict/1763873648 -> viable/strict/1763873648 2025-12-04T08:57:30.1738409Z * [new tag] viable/strict/1763875506 -> viable/strict/1763875506 2025-12-04T08:57:30.1739071Z * [new tag] viable/strict/1763889904 -> viable/strict/1763889904 2025-12-04T08:57:30.1739944Z * [new tag] viable/strict/1763930999 -> viable/strict/1763930999 2025-12-04T08:57:30.1740740Z * [new tag] viable/strict/1763944964 -> viable/strict/1763944964 2025-12-04T08:57:30.1741340Z * [new tag] viable/strict/1763958474 -> viable/strict/1763958474 2025-12-04T08:57:30.1742104Z * [new tag] viable/strict/1763967263 -> viable/strict/1763967263 2025-12-04T08:57:30.1742990Z * [new tag] viable/strict/1763972803 -> viable/strict/1763972803 2025-12-04T08:57:30.1743595Z * [new tag] viable/strict/1763976376 -> viable/strict/1763976376 2025-12-04T08:57:30.1744406Z * [new tag] viable/strict/1763989404 -> viable/strict/1763989404 2025-12-04T08:57:30.1745377Z * [new tag] viable/strict/1763990887 -> viable/strict/1763990887 2025-12-04T08:57:30.1746099Z * [new tag] viable/strict/1764019919 -> viable/strict/1764019919 2025-12-04T08:57:30.1747018Z * [new tag] viable/strict/1764023134 -> viable/strict/1764023134 2025-12-04T08:57:30.1747589Z * [new tag] viable/strict/1764024593 -> viable/strict/1764024593 2025-12-04T08:57:30.1748353Z * [new tag] viable/strict/1764026706 -> viable/strict/1764026706 2025-12-04T08:57:30.1749397Z * [new tag] viable/strict/1764031139 -> viable/strict/1764031139 2025-12-04T08:57:30.1750071Z * [new tag] viable/strict/1764033131 -> viable/strict/1764033131 2025-12-04T08:57:30.1750699Z * [new tag] viable/strict/1764035725 -> viable/strict/1764035725 2025-12-04T08:57:30.1751277Z * [new tag] viable/strict/1764624265 -> viable/strict/1764624265 2025-12-04T08:57:30.1751903Z * [new tag] viable/strict/1764631514 -> viable/strict/1764631514 2025-12-04T08:57:30.1752493Z * [new tag] viable/strict/1764632987 -> viable/strict/1764632987 2025-12-04T08:57:30.1753099Z * [new tag] viable/strict/1764636063 -> viable/strict/1764636063 2025-12-04T08:57:30.1753679Z * [new tag] viable/strict/1764643975 -> viable/strict/1764643975 2025-12-04T08:57:30.1754278Z * [new tag] viable/strict/1764646859 -> viable/strict/1764646859 2025-12-04T08:57:30.1754887Z * [new tag] viable/strict/1764653120 -> viable/strict/1764653120 2025-12-04T08:57:30.1755568Z * [new tag] viable/strict/1764654632 -> viable/strict/1764654632 2025-12-04T08:57:30.1756102Z * [new tag] viable/strict/1764656821 -> viable/strict/1764656821 2025-12-04T08:57:30.1756688Z * [new tag] viable/strict/1764658557 -> viable/strict/1764658557 2025-12-04T08:57:30.1757332Z * [new tag] viable/strict/1764660333 -> viable/strict/1764660333 2025-12-04T08:57:30.1757930Z * [new tag] viable/strict/1764661812 -> viable/strict/1764661812 2025-12-04T08:57:30.1758495Z * [new tag] viable/strict/1764664023 -> viable/strict/1764664023 2025-12-04T08:57:30.1759260Z * [new tag] viable/strict/1764669150 -> viable/strict/1764669150 2025-12-04T08:57:30.1759835Z * [new tag] viable/strict/1764680709 -> viable/strict/1764680709 2025-12-04T08:57:30.1760464Z * [new tag] viable/strict/1764687619 -> viable/strict/1764687619 2025-12-04T08:57:30.1761080Z * [new tag] viable/strict/1764696355 -> viable/strict/1764696355 2025-12-04T08:57:30.1761698Z * [new tag] viable/strict/1764701767 -> viable/strict/1764701767 2025-12-04T08:57:30.1762341Z * [new tag] viable/strict/1764710768 -> viable/strict/1764710768 2025-12-04T08:57:30.1762950Z * [new tag] viable/strict/1764716202 -> viable/strict/1764716202 2025-12-04T08:57:30.1763546Z * [new tag] viable/strict/1764793566 -> viable/strict/1764793566 2025-12-04T08:57:30.1764139Z * [new tag] viable/strict/1764797093 -> viable/strict/1764797093 2025-12-04T08:57:30.1764754Z * [new tag] viable/strict/1764800729 -> viable/strict/1764800729 2025-12-04T08:57:30.1765619Z * [new tag] whc_flight_1 -> whc_flight_1 2025-12-04T08:57:30.1766403Z * [new tag] whc_flight_2 -> whc_flight_2 2025-12-04T08:57:30.1767348Z * [new tag] whc_flight_4 -> whc_flight_4 2025-12-04T08:57:30.2282719Z [command]/usr/bin/git rev-parse --verify --quiet ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32^{object} 2025-12-04T08:57:30.2303953Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:57:30.2305982Z ##[endgroup] 2025-12-04T08:57:30.2306313Z ##[group]Determining the checkout info 2025-12-04T08:57:30.2307325Z ##[endgroup] 2025-12-04T08:57:30.2310530Z [command]/usr/bin/git sparse-checkout disable 2025-12-04T08:57:30.2338580Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-12-04T08:57:30.2367848Z ##[group]Checking out the ref 2025-12-04T08:57:30.2370776Z [command]/usr/bin/git checkout --progress --force ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:57:31.2621997Z Updating files: 97% (19609/20121) 2025-12-04T08:57:31.2851361Z Updating files: 98% (19719/20121) 2025-12-04T08:57:31.2989217Z Updating files: 99% (19920/20121) 2025-12-04T08:57:31.2993166Z Updating files: 100% (20121/20121) 2025-12-04T08:57:31.2996749Z Updating files: 100% (20121/20121), done. 2025-12-04T08:57:31.3212756Z Note: switching to 'ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32'. 2025-12-04T08:57:31.3213036Z 2025-12-04T08:57:31.3213205Z You are in 'detached HEAD' state. You can look around, make experimental 2025-12-04T08:57:31.3213594Z changes and commit them, and you can discard any commits you make in this 2025-12-04T08:57:31.3213987Z state without impacting any branches by switching back to a branch. 2025-12-04T08:57:31.3214195Z 2025-12-04T08:57:31.3214343Z If you want to create a new branch to retain commits you create, you may 2025-12-04T08:57:31.3214689Z do so (now or later) by using -c with the switch command. Example: 2025-12-04T08:57:31.3214877Z 2025-12-04T08:57:31.3214983Z git switch -c 2025-12-04T08:57:31.3215124Z 2025-12-04T08:57:31.3215223Z Or undo this operation with: 2025-12-04T08:57:31.3215390Z 2025-12-04T08:57:31.3215465Z git switch - 2025-12-04T08:57:31.3215576Z 2025-12-04T08:57:31.3216031Z Turn off this advice by setting config variable advice.detachedHead to false 2025-12-04T08:57:31.3216286Z 2025-12-04T08:57:31.3216488Z HEAD is now at ffd9b0fb435 Resolve collective autotuning test failure on arm (#168919) 2025-12-04T08:57:31.3269435Z ##[endgroup] 2025-12-04T08:57:31.3269752Z ##[group]Setting up auth for fetching submodules 2025-12-04T08:57:31.3276579Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-12-04T08:57:31.3323165Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-12-04T08:57:31.3349063Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-12-04T08:57:31.3373148Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-12-04T08:57:31.3392131Z ##[endgroup] 2025-12-04T08:57:31.3392507Z ##[group]Fetching submodules 2025-12-04T08:57:31.3395731Z [command]/usr/bin/git submodule sync --recursive 2025-12-04T08:57:31.3724707Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-12-04T08:57:31.4030748Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-12-04T08:57:31.4031656Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-12-04T08:57:31.4032367Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-12-04T08:57:31.4032929Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-12-04T08:57:31.4033546Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-12-04T08:57:31.4034424Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-12-04T08:57:31.4035185Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-12-04T08:57:31.4036800Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-12-04T08:57:31.4037399Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-12-04T08:57:31.4038566Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-12-04T08:57:31.4040062Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-12-04T08:57:31.4041617Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-12-04T08:57:31.4043330Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-12-04T08:57:31.4044924Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-12-04T08:57:31.4047050Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-12-04T08:57:31.4049382Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-12-04T08:57:31.4052143Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-12-04T08:57:31.4054058Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-12-04T08:57:31.4056146Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-12-04T08:57:31.4058242Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-12-04T08:57:31.4060349Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-12-04T08:57:31.4062389Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-12-04T08:57:31.4064451Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-12-04T08:57:31.4066829Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-12-04T08:57:31.4069058Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-12-04T08:57:31.4071220Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-12-04T08:57:31.4073435Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-12-04T08:57:31.4075573Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-12-04T08:57:31.4078114Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-12-04T08:57:31.4080252Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-12-04T08:57:31.4082618Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-12-04T08:57:31.4085020Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-12-04T08:57:31.4087651Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-12-04T08:57:31.4090962Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-12-04T08:57:31.4093847Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-12-04T08:57:31.4096366Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-12-04T08:57:31.4099076Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-12-04T08:57:31.4125679Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2025-12-04T08:57:31.6110371Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2025-12-04T08:57:31.6111147Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2025-12-04T08:57:31.6115221Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-12-04T08:57:41.3408523Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2025-12-04T08:57:41.3409642Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'... 2025-12-04T08:57:41.3410974Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'... 2025-12-04T08:57:41.3411797Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-12-04T08:57:41.3412725Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-12-04T08:57:41.3413566Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'... 2025-12-04T08:57:41.3414401Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-12-04T08:57:41.3415294Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-12-04T08:57:41.3416397Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-12-04T08:57:41.3417193Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'... 2025-12-04T08:57:41.3417954Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2025-12-04T08:57:41.3418758Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-12-04T08:57:41.3419527Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'... 2025-12-04T08:57:41.3420223Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'... 2025-12-04T08:57:41.3420876Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'... 2025-12-04T08:57:41.3421586Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'... 2025-12-04T08:57:41.3422295Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'... 2025-12-04T08:57:41.3422997Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'... 2025-12-04T08:57:41.3423733Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'... 2025-12-04T08:57:41.3424424Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'... 2025-12-04T08:57:41.3425363Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'... 2025-12-04T08:57:41.3426147Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'... 2025-12-04T08:57:41.3427354Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-12-04T08:57:41.3672314Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'... 2025-12-04T08:57:58.0695604Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-12-04T08:57:58.0696583Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'... 2025-12-04T08:57:58.0697364Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-12-04T08:57:58.0698169Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'... 2025-12-04T08:57:58.0698920Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'... 2025-12-04T08:57:58.0699670Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'... 2025-12-04T08:57:58.1696827Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'... 2025-12-04T08:58:07.4889304Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-12-04T08:58:09.1424918Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-12-04T08:58:09.1556062Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-12-04T08:58:09.1657758Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-12-04T08:58:09.1734942Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-12-04T08:58:09.1934989Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-12-04T08:58:09.2652419Z Submodule path 'third_party/NVTX': checked out '3ebbc93ded7285963bff932c678fa367eb393ba6' 2025-12-04T08:58:09.3108096Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-12-04T08:58:09.8580838Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-12-04T08:58:10.0425216Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-12-04T08:58:10.0439630Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T08:58:10.0464222Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-12-04T08:58:14.6715079Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-12-04T08:58:14.6915035Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-12-04T08:58:14.9607573Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-12-04T08:58:15.0015970Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-12-04T08:58:15.0845911Z Submodule path 'third_party/cpuinfo': checked out 'f858c30bcb16f8effd5ff46996f0514539e17abc' 2025-12-04T08:58:15.1265980Z Submodule path 'third_party/cudnn_frontend': checked out '0b1577c8c83401237d601d0d0db5210506705396' 2025-12-04T08:58:15.6493712Z Submodule path 'third_party/cutlass': checked out 'f88806b1e31dfa579842638740216dd41fc6c588' 2025-12-04T08:58:15.7698963Z Submodule path 'third_party/fbgemm': checked out 'c0b988d39a9e47c794d699f29930ed4d7c7e13a4' 2025-12-04T08:58:15.7715668Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-12-04T08:58:15.7716573Z Submodule 'external/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-12-04T08:58:15.7717348Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-12-04T08:58:15.7718118Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-12-04T08:58:15.7720243Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-12-04T08:58:15.7721226Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-12-04T08:58:15.7722256Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-12-04T08:58:15.7745070Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-12-04T08:58:17.3075194Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-12-04T08:58:17.3076172Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-12-04T08:58:17.3077059Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-12-04T08:58:17.4076437Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-12-04T08:58:20.8882180Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-12-04T08:58:20.9883357Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-12-04T08:58:23.8231432Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-12-04T08:58:24.0942612Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-12-04T08:58:24.1821444Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-12-04T08:58:24.7047263Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '98125ce499b0fdf7ffbe0e3052f5b8709f4840f8' 2025-12-04T08:58:24.7428010Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T08:58:24.7527081Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-12-04T08:58:24.8373997Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-12-04T08:58:24.8919309Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-12-04T08:58:24.8937413Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T08:58:24.8941370Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-12-04T08:58:24.8959172Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-12-04T08:58:29.3103985Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-12-04T08:58:29.4928903Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-12-04T08:58:29.9520742Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-12-04T08:58:30.0587852Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-12-04T08:58:30.0858652Z Submodule path 'third_party/fmt': checked out '407c905e45ad75fc29bf0f9bb7c5c2fd3475976f' 2025-12-04T08:58:30.1205121Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-12-04T08:58:30.1406466Z Submodule path 'third_party/gloo': checked out '54cbae0d3a67fa890b4c3d9ee162b7860315e341' 2025-12-04T08:58:30.1785885Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T08:58:30.1893346Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-12-04T08:58:30.1909221Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-12-04T08:58:30.1926809Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-12-04T08:58:46.4143723Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-12-04T08:58:46.4317377Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-12-04T08:58:46.5120712Z Submodule path 'third_party/kineto': checked out '31f85df8fbd89c188f14ef10f1ec65379786b943' 2025-12-04T08:58:46.5139525Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T08:58:46.5140394Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T08:58:46.5145110Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T08:58:46.5163426Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-12-04T08:58:47.9091144Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-12-04T08:58:48.3995886Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-12-04T08:58:48.4757094Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out 'd2ffe0a4e3acace628db49974246b66fc3e85fb1' 2025-12-04T08:58:48.4770508Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T08:58:48.4775803Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T08:58:48.4777249Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T08:58:48.4777964Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T08:58:48.4778663Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T08:58:48.4779550Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T08:58:48.4780402Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T08:58:48.4781315Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T08:58:48.4782081Z 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' 2025-12-04T08:58:48.4805008Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-12-04T08:58:50.5566670Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-12-04T08:58:50.5567366Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-12-04T08:58:50.5568020Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-12-04T08:58:50.5568678Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-12-04T08:58:50.5569306Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'... 2025-12-04T08:58:50.5569940Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-12-04T08:58:50.5570551Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-12-04T08:58:50.6567061Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-12-04T08:58:56.3209269Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-12-04T08:58:56.3357483Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-12-04T08:58:56.3665273Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-12-04T08:58:56.3788988Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-12-04T08:58:56.3795504Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T08:58:56.3818104Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-12-04T08:58:56.6319023Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-12-04T08:58:56.6472327Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-12-04T08:58:56.6852793Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T08:58:56.7673890Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-12-04T08:58:56.7813589Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-12-04T08:58:56.7951720Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp': checked out 'b1234816facfdda29845c46696a02998a4af115a' 2025-12-04T08:58:56.7967120Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:58:56.7969343Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:58:56.7988840Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'... 2025-12-04T08:58:59.5953626Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'... 2025-12-04T08:58:59.8098688Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'd7ba35bbb649209c66e582d5a0244ba988a15159' 2025-12-04T08:58:59.8485422Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2025-12-04T08:58:59.8760679Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-12-04T08:58:59.9144599Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T08:58:59.9588078Z Submodule path 'third_party/kleidiai': checked out 'd7770c89632329a9914ef1a90289917597639cbe' 2025-12-04T08:58:59.9914079Z 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'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T08:59:18.6687053Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local 'http.https://github.com/.extraheader' 'AUTHORIZATION: basic ***' && git config --local --show-origin --name-only --get-regexp remote.origin.url" 2025-12-04T08:59:18.6935647Z Entering 'android/libs/fbjni' 2025-12-04T08:59:18.6978827Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config remote.origin.url 2025-12-04T08:59:18.6993217Z Entering 'third_party/FP16' 2025-12-04T08:59:18.7033706Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config remote.origin.url 2025-12-04T08:59:18.7045526Z Entering 'third_party/FXdiv' 2025-12-04T08:59:18.7090855Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config remote.origin.url 2025-12-04T08:59:18.7101640Z Entering 'third_party/NNPACK' 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2025-12-04T08:59:19.4726696Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T08:59:19.4762236Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T08:59:19.4796295Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T08:59:19.4827603Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T08:59:19.4863730Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T08:59:19.4895661Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:59:19.4932629Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:59:19.4974126Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T08:59:19.5026598Z Entering 'third_party/pocketfft' 2025-12-04T08:59:19.5060567Z Entering 'third_party/protobuf' 2025-12-04T08:59:19.5095417Z Entering 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--recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-12-04T08:59:19.5840388Z Entering 'android/libs/fbjni' 2025-12-04T08:59:19.5876789Z Entering 'third_party/FP16' 2025-12-04T08:59:19.5910136Z Entering 'third_party/FXdiv' 2025-12-04T08:59:19.5943059Z Entering 'third_party/NNPACK' 2025-12-04T08:59:19.5976089Z Entering 'third_party/NVTX' 2025-12-04T08:59:19.6013453Z Entering 'third_party/VulkanMemoryAllocator' 2025-12-04T08:59:19.6053258Z Entering 'third_party/XNNPACK' 2025-12-04T08:59:19.6100489Z Entering 'third_party/aiter' 2025-12-04T08:59:19.6137656Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T08:59:19.6177438Z Entering 'third_party/benchmark' 2025-12-04T08:59:19.6214719Z Entering 'third_party/composable_kernel' 2025-12-04T08:59:19.6258157Z Entering 'third_party/cpp-httplib' 2025-12-04T08:59:19.6296524Z Entering 'third_party/cpuinfo' 2025-12-04T08:59:19.6332424Z Entering 'third_party/cudnn_frontend' 2025-12-04T08:59:19.6367394Z Entering 'third_party/cutlass' 2025-12-04T08:59:19.6405141Z Entering 'third_party/fbgemm' 2025-12-04T08:59:19.6441142Z Entering 'third_party/fbgemm/external/asmjit' 2025-12-04T08:59:19.6478573Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-12-04T08:59:19.6518030Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-12-04T08:59:19.6558018Z Entering 'third_party/fbgemm/external/cutlass' 2025-12-04T08:59:19.6594578Z Entering 'third_party/fbgemm/external/googletest' 2025-12-04T08:59:19.6628838Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-12-04T08:59:19.6662815Z Entering 'third_party/fbgemm/external/json' 2025-12-04T08:59:19.6699168Z Entering 'third_party/flash-attention' 2025-12-04T08:59:19.6736127Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T08:59:19.6777150Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-12-04T08:59:19.6817459Z Entering 'third_party/flatbuffers' 2025-12-04T08:59:19.6862587Z Entering 'third_party/fmt' 2025-12-04T08:59:19.6893018Z Entering 'third_party/gemmlowp/gemmlowp' 2025-12-04T08:59:19.6925214Z Entering 'third_party/gloo' 2025-12-04T08:59:19.6966640Z Entering 'third_party/googletest' 2025-12-04T08:59:19.7002674Z Entering 'third_party/ideep' 2025-12-04T08:59:19.7036012Z Entering 'third_party/ideep/mkl-dnn' 2025-12-04T08:59:19.7075059Z Entering 'third_party/ittapi' 2025-12-04T08:59:19.7111368Z Entering 'third_party/kineto' 2025-12-04T08:59:19.7145160Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T08:59:19.7180862Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T08:59:19.7215887Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T08:59:19.7251337Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T08:59:19.7284143Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T08:59:19.7315025Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T08:59:19.7356339Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T08:59:19.7392302Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T08:59:19.7427846Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T08:59:19.7463829Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T08:59:19.7497056Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T08:59:19.7529186Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:59:19.7564611Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:59:19.7608619Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T08:59:19.7642587Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T08:59:19.7679632Z Entering 'third_party/kleidiai' 2025-12-04T08:59:19.7715666Z Entering 'third_party/mimalloc' 2025-12-04T08:59:19.7753061Z Entering 'third_party/nlohmann' 2025-12-04T08:59:19.7788247Z Entering 'third_party/onnx' 2025-12-04T08:59:19.7837855Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T08:59:19.7873416Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T08:59:19.7908151Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T08:59:19.7939422Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T08:59:19.7972368Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T08:59:19.8006575Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T08:59:19.8043322Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T08:59:19.8075671Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T08:59:19.8112095Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T08:59:19.8146893Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:59:19.8188238Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:59:19.8221656Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T08:59:19.8273931Z Entering 'third_party/pocketfft' 2025-12-04T08:59:19.8308436Z Entering 'third_party/protobuf' 2025-12-04T08:59:19.8345289Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T08:59:19.8374437Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T08:59:19.8410606Z Entering 'third_party/psimd' 2025-12-04T08:59:19.8453158Z Entering 'third_party/pthreadpool' 2025-12-04T08:59:19.8489781Z Entering 'third_party/pybind11' 2025-12-04T08:59:19.8526220Z Entering 'third_party/python-peachpy' 2025-12-04T08:59:19.8567324Z Entering 'third_party/sleef' 2025-12-04T08:59:19.8606227Z Entering 'third_party/tensorpipe' 2025-12-04T08:59:19.8646666Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T08:59:19.8686802Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T08:59:19.8719045Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T08:59:19.8755002Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T08:59:19.8785861Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T08:59:19.8831348Z ##[endgroup] 2025-12-04T08:59:19.8868079Z [command]/usr/bin/git log -1 --format=%H 2025-12-04T08:59:19.8888072Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:59:19.8979623Z ##[group]Run cd "${GITHUB_WORKSPACE}" 2025-12-04T08:59:19.8979897Z cd "${GITHUB_WORKSPACE}" 2025-12-04T08:59:19.8980100Z # Clean stale submodule dirs 2025-12-04T08:59:19.8980308Z if [ -z "${NO_SUDO}" ]; then 2025-12-04T08:59:19.8980552Z  sudo git submodule foreach --recursive git clean -ffdx 2025-12-04T08:59:19.8980787Z else 2025-12-04T08:59:19.8980993Z  git submodule foreach --recursive git clean -ffdx 2025-12-04T08:59:19.8981219Z fi 2025-12-04T08:59:19.8989058Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:59:19.8989304Z env: 2025-12-04T08:59:19.8989462Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:59:19.8989645Z NO_SUDO: true 2025-12-04T08:59:19.8989810Z ##[endgroup] 2025-12-04T08:59:19.9289559Z Entering 'android/libs/fbjni' 2025-12-04T08:59:19.9317395Z Entering 'third_party/FP16' 2025-12-04T08:59:19.9346294Z Entering 'third_party/FXdiv' 2025-12-04T08:59:19.9370625Z Entering 'third_party/NNPACK' 2025-12-04T08:59:19.9397849Z Entering 'third_party/NVTX' 2025-12-04T08:59:19.9427249Z Entering 'third_party/VulkanMemoryAllocator' 2025-12-04T08:59:19.9454434Z Entering 'third_party/XNNPACK' 2025-12-04T08:59:19.9547122Z Entering 'third_party/aiter' 2025-12-04T08:59:19.9582223Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T08:59:19.9669381Z Entering 'third_party/benchmark' 2025-12-04T08:59:19.9700018Z Entering 'third_party/composable_kernel' 2025-12-04T08:59:19.9793438Z Entering 'third_party/cpp-httplib' 2025-12-04T08:59:19.9820496Z Entering 'third_party/cpuinfo' 2025-12-04T08:59:19.9850138Z Entering 'third_party/cudnn_frontend' 2025-12-04T08:59:19.9876634Z Entering 'third_party/cutlass' 2025-12-04T08:59:19.9955447Z Entering 'third_party/fbgemm' 2025-12-04T08:59:20.0003656Z Entering 'third_party/fbgemm/external/asmjit' 2025-12-04T08:59:20.0027337Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-12-04T08:59:20.0116415Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-12-04T08:59:20.0146900Z Entering 'third_party/fbgemm/external/cutlass' 2025-12-04T08:59:20.0222617Z Entering 'third_party/fbgemm/external/googletest' 2025-12-04T08:59:20.0253022Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-12-04T08:59:20.0281494Z Entering 'third_party/fbgemm/external/json' 2025-12-04T08:59:20.0318892Z Entering 'third_party/flash-attention' 2025-12-04T08:59:20.0355724Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T08:59:20.0431192Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-12-04T08:59:20.0501410Z Entering 'third_party/flatbuffers' 2025-12-04T08:59:20.0558964Z Entering 'third_party/fmt' 2025-12-04T08:59:20.0588750Z Entering 'third_party/gemmlowp/gemmlowp' 2025-12-04T08:59:20.0616758Z Entering 'third_party/gloo' 2025-12-04T08:59:20.0643986Z Entering 'third_party/googletest' 2025-12-04T08:59:20.0677284Z Entering 'third_party/ideep' 2025-12-04T08:59:20.0700071Z Entering 'third_party/ideep/mkl-dnn' 2025-12-04T08:59:20.0767981Z Entering 'third_party/ittapi' 2025-12-04T08:59:20.0795187Z Entering 'third_party/kineto' 2025-12-04T08:59:20.0823629Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T08:59:20.0850987Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T08:59:20.0886549Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T08:59:20.0916614Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T08:59:20.0943096Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T08:59:20.0965442Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T08:59:20.0991707Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T08:59:20.1015379Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T08:59:20.1043537Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T08:59:20.1075663Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T08:59:20.1100480Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T08:59:20.1124883Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:59:20.1165160Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:59:20.1200766Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T08:59:20.1224256Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T08:59:20.1252300Z Entering 'third_party/kleidiai' 2025-12-04T08:59:20.1286185Z Entering 'third_party/mimalloc' 2025-12-04T08:59:20.1315555Z Entering 'third_party/nlohmann' 2025-12-04T08:59:20.1350796Z Entering 'third_party/onnx' 2025-12-04T08:59:20.1580486Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T08:59:20.1608580Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T08:59:20.1655937Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T08:59:20.1680996Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T08:59:20.1709974Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T08:59:20.1735307Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T08:59:20.1768518Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T08:59:20.1792390Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T08:59:20.1816513Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T08:59:20.1841535Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:59:20.1876185Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:59:20.1909129Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T08:59:20.2093786Z Entering 'third_party/pocketfft' 2025-12-04T08:59:20.2121513Z Entering 'third_party/protobuf' 2025-12-04T08:59:20.2180873Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T08:59:20.2209840Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T08:59:20.2241381Z Entering 'third_party/psimd' 2025-12-04T08:59:20.2268383Z Entering 'third_party/pthreadpool' 2025-12-04T08:59:20.2294950Z Entering 'third_party/pybind11' 2025-12-04T08:59:20.2323056Z Entering 'third_party/python-peachpy' 2025-12-04T08:59:20.2351570Z Entering 'third_party/sleef' 2025-12-04T08:59:20.2382531Z Entering 'third_party/tensorpipe' 2025-12-04T08:59:20.2410323Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T08:59:20.2437398Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T08:59:20.2461362Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T08:59:20.2487558Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T08:59:20.2514295Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T08:59:20.2638457Z Prepare all required actions 2025-12-04T08:59:20.2638880Z Getting action download info 2025-12-04T08:59:20.4459229Z ##[group]Run ./.github/actions/setup-linux 2025-12-04T08:59:20.4459473Z env: 2025-12-04T08:59:20.4459648Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:59:20.4459848Z ##[endgroup] 2025-12-04T08:59:20.4491940Z ##[group]Run set -euo pipefail 2025-12-04T08:59:20.4492226Z set -euo pipefail 2025-12-04T08:59:20.4492449Z function get_ec2_metadata() { 2025-12-04T08:59:20.4492747Z  # Pulled from instance metadata endpoint for EC2 2025-12-04T08:59:20.4493184Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-12-04T08:59:20.4493564Z  category=$1 2025-12-04T08:59:20.4493809Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-12-04T08:59:20.4494080Z  runner_name_str=i-0b030889d621e3811 2025-12-04T08:59:20.4494354Z  if [[ -f /.inarc ]]; then 2025-12-04T08:59:20.4494589Z  echo "ARC Runner, no info on ec2 metadata" 2025-12-04T08:59:20.4494839Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-12-04T08:59:20.4495128Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-12-04T08:59:20.4495391Z  else 2025-12-04T08:59:20.4495905Z  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}" 2025-12-04T08:59:20.4496596Z  fi 2025-12-04T08:59:20.4496751Z } 2025-12-04T08:59:20.4496938Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-12-04T08:59:20.4497202Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-12-04T08:59:20.4497499Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-12-04T08:59:20.4497761Z echo "system info $(uname -a)" 2025-12-04T08:59:20.4503079Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:59:20.4503317Z env: 2025-12-04T08:59:20.4503475Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:59:20.4503648Z ##[endgroup] 2025-12-04T08:59:20.4638334Z ami-id: ami-08982f1c5bf93d976 2025-12-04T08:59:20.4716547Z instance-id: i-0b030889d621e3811 2025-12-04T08:59:20.4798821Z instance-type: c7i.2xlarge 2025-12-04T08:59:20.4807659Z system info Linux ip-10-0-78-85.ec2.internal 6.1.150-174.273.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Sep 9 12:21:26 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux 2025-12-04T08:59:20.4822973Z ##[group]Run if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi 2025-12-04T08:59:20.4823299Z if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi 2025-12-04T08:59:20.4828691Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:59:20.4828942Z env: 2025-12-04T08:59:20.4829094Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:59:20.4829271Z ##[endgroup] 2025-12-04T08:59:20.4867056Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:59:20.4867705Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:59:20.4872541Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:59:20.4872817Z env: 2025-12-04T08:59:20.4872984Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:59:20.4873196Z ##[endgroup] 2025-12-04T08:59:20.4914489Z ##[group]Run if systemctl is-active --quiet docker; then 2025-12-04T08:59:20.4914784Z if systemctl is-active --quiet docker; then 2025-12-04T08:59:20.4915035Z  echo "Docker daemon is running..."; 2025-12-04T08:59:20.4915238Z else 2025-12-04T08:59:20.4915474Z  echo "Starting docker daemon..." && sudo systemctl start docker; 2025-12-04T08:59:20.4915735Z fi 2025-12-04T08:59:20.4920047Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:59:20.4920297Z env: 2025-12-04T08:59:20.4920453Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:59:20.4920623Z ##[endgroup] 2025-12-04T08:59:20.4992641Z Docker daemon is running... 2025-12-04T08:59:20.5019245Z ##[group]Run nick-fields/retry@v3.0.0 2025-12-04T08:59:20.5019454Z with: 2025-12-04T08:59:20.5019610Z shell: bash 2025-12-04T08:59:20.5019774Z timeout_minutes: 5 2025-12-04T08:59:20.5019946Z max_attempts: 3 2025-12-04T08:59:20.5020119Z retry_wait_seconds: 30 2025-12-04T08:59:20.5021452Z command: AWS_ACCOUNT_ID=$(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 2025-12-04T08:59:20.5022720Z polling_interval_seconds: 1 2025-12-04T08:59:20.5022911Z warning_on_retry: true 2025-12-04T08:59:20.5023088Z continue_on_error: false 2025-12-04T08:59:20.5023254Z env: 2025-12-04T08:59:20.5023408Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:59:20.5023588Z AWS_RETRY_MODE: standard 2025-12-04T08:59:20.5023754Z AWS_MAX_ATTEMPTS: 5 2025-12-04T08:59:20.5024041Z AWS_DEFAULT_REGION: us-east-1 2025-12-04T08:59:20.5024232Z ##[endgroup] 2025-12-04T08:59:21.3786462Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T08:59:21.3787110Z Configure a credential helper to remove this warning. See 2025-12-04T08:59:21.3787737Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T08:59:21.3788139Z 2025-12-04T08:59:21.3788224Z Login Succeeded 2025-12-04T08:59:21.5646406Z Command completed after 1 attempt(s). 2025-12-04T08:59:21.5698294Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T08:59:21.5698628Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T08:59:21.5698915Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T08:59:21.5705686Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:59:21.5705956Z env: 2025-12-04T08:59:21.5706121Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:59:21.5706316Z ##[endgroup] 2025-12-04T08:59:21.5773345Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T08:59:21.5773706Z # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T08:59:21.5773985Z # shellcheck disable=SC2046 2025-12-04T08:59:21.5774211Z docker stop $(docker ps -q) || true 2025-12-04T08:59:21.5774443Z # Prune all of the docker images 2025-12-04T08:59:21.5774655Z docker system prune -af 2025-12-04T08:59:21.5779092Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:59:21.5779336Z env: 2025-12-04T08:59:21.5779488Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:59:21.5779670Z ##[endgroup] 2025-12-04T08:59:21.6129751Z "docker stop" requires at least 1 argument. 2025-12-04T08:59:21.6130061Z See 'docker stop --help'. 2025-12-04T08:59:21.6130201Z 2025-12-04T08:59:21.6130329Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-12-04T08:59:21.6130535Z 2025-12-04T08:59:21.6130616Z Stop one or more running containers 2025-12-04T08:59:21.6275483Z Total reclaimed space: 0B 2025-12-04T08:59:21.6391267Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-12-04T08:59:21.6391566Z with: 2025-12-04T08:59:21.6391797Z docker-image-name: ci-image:pytorch-linux-jammy-py3.13-clang12 2025-12-04T08:59:21.6392085Z use-custom-docker-registry: true 2025-12-04T08:59:21.6392300Z docker-build-dir: .ci/docker 2025-12-04T08:59:21.6392497Z docker-build-script: ./build.sh 2025-12-04T08:59:21.6392701Z working-directory: . 2025-12-04T08:59:21.6392937Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:59:21.6393188Z force-push: false 2025-12-04T08:59:21.6393352Z env: 2025-12-04T08:59:21.6393508Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:59:21.6393681Z ##[endgroup] 2025-12-04T08:59:21.6407544Z ##[group]Run set -ex 2025-12-04T08:59:21.6407783Z set -ex 2025-12-04T08:59:21.6407957Z  2025-12-04T08:59:21.6408266Z # If the docker build directory or the build script doesn't exist, the action will 2025-12-04T08:59:21.6408736Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-12-04T08:59:21.6409099Z # job could then download the pre-built image as usual 2025-12-04T08:59:21.6409547Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-12-04T08:59:21.6409951Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-12-04T08:59:21.6410177Z else 2025-12-04T08:59:21.6410363Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-12-04T08:59:21.6410662Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:59:21.6410932Z  2025-12-04T08:59:21.6411293Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-12-04T08:59:21.6411796Z  exit 0 2025-12-04T08:59:21.6411970Z fi 2025-12-04T08:59:21.6412140Z  2025-12-04T08:59:21.6412386Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-12-04T08:59:21.6412804Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-12-04T08:59:21.6413161Z  # use it as it is, but first let's extract the tag 2025-12-04T08:59:21.6413496Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-12-04T08:59:21.6413833Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:59:21.6414170Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:59:21.6414434Z else 2025-12-04T08:59:21.6414631Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-12-04T08:59:21.6414885Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-12-04T08:59:21.6415153Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-12-04T08:59:21.6415375Z  fi 2025-12-04T08:59:21.6415671Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-12-04T08:59:21.6416060Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:59:21.6416459Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:59:21.6416894Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:59:21.6417165Z fi 2025-12-04T08:59:21.6422161Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:59:21.6422413Z env: 2025-12-04T08:59:21.6422576Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:59:21.6422764Z REPO_NAME: pytorch 2025-12-04T08:59:21.6423008Z DOCKER_IMAGE_NAME: ci-image:pytorch-linux-jammy-py3.13-clang12 2025-12-04T08:59:21.6423279Z DOCKER_BUILD_DIR: .ci/docker 2025-12-04T08:59:21.6423481Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-12-04T08:59:21.6423825Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:59:21.6424091Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-12-04T08:59:21.6424283Z CUSTOM_TAG_PREFIX: 2025-12-04T08:59:21.6424467Z ##[endgroup] 2025-12-04T08:59:21.6445389Z + [[ -d .ci/docker ]] 2025-12-04T08:59:21.6445725Z + [[ -f .ci/docker/./build.sh ]] 2025-12-04T08:59:21.6445971Z + [[ true == \t\r\u\e ]] 2025-12-04T08:59:21.6446178Z + echo skip=false 2025-12-04T08:59:21.6446629Z + [[ ci-image:pytorch-linux-jammy-py3.13-clang12 == *\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* ]] 2025-12-04T08:59:21.6447112Z + [[ ci-image:pytorch-linux-jammy-py3.13-clang12 == *:* ]] 2025-12-04T08:59:21.6447449Z + CUSTOM_TAG_PREFIX=pytorch-linux-jammy-py3.13-clang12 2025-12-04T08:59:21.6447714Z + DOCKER_IMAGE_NAME=ci-image 2025-12-04T08:59:21.6448856Z ++ git rev-parse HEAD:.ci/docker 2025-12-04T08:59:21.6465948Z + DOCKER_TAG=pytorch-linux-jammy-py3.13-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:59:21.6466557Z + echo docker-tag=pytorch-linux-jammy-py3.13-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:59:21.6467242Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:59:21.6467847Z + echo custom-tag-prefix=pytorch-linux-jammy-py3.13-clang12 2025-12-04T08:59:21.6483695Z ##[group]Run set +e 2025-12-04T08:59:21.6483908Z set +e 2025-12-04T08:59:21.6484068Z set -x 2025-12-04T08:59:21.6484223Z  2025-12-04T08:59:21.6484369Z login() { 2025-12-04T08:59:21.6484664Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-12-04T08:59:21.6484977Z } 2025-12-04T08:59:21.6485120Z  2025-12-04T08:59:21.6485256Z retry () { 2025-12-04T08:59:21.6485535Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-12-04T08:59:21.6485748Z } 2025-12-04T08:59:21.6485882Z  2025-12-04T08:59:21.6486040Z retry login "${DOCKER_REGISTRY}" 2025-12-04T08:59:21.6486237Z  2025-12-04T08:59:21.6486390Z START_TIME=$(date +%s) 2025-12-04T08:59:21.6486583Z # Wait up to 120 minutes 2025-12-04T08:59:21.6486827Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-12-04T08:59:21.6487125Z  # Check if image already exists, if it does then skip building it 2025-12-04T08:59:21.6487414Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-12-04T08:59:21.6487641Z  exit 0 2025-12-04T08:59:21.6487805Z  fi 2025-12-04T08:59:21.6487945Z  2025-12-04T08:59:21.6488188Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-12-04T08:59:21.6488572Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-12-04T08:59:21.6488963Z  # latter, it will wait for the Docker images to become available before continuing 2025-12-04T08:59:21.6489267Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-12-04T08:59:21.6489520Z  # It's a Docker build job, let's build the image 2025-12-04T08:59:21.6489738Z  break 2025-12-04T08:59:21.6489900Z  else 2025-12-04T08:59:21.6490113Z  # It's a regular build job, wait for the image to become available 2025-12-04T08:59:21.6490367Z  sleep 300 2025-12-04T08:59:21.6490529Z  fi 2025-12-04T08:59:21.6490670Z done 2025-12-04T08:59:21.6490813Z  2025-12-04T08:59:21.6491044Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-12-04T08:59:21.6491380Z # be empty. The default action would be to continue rebuild the image 2025-12-04T08:59:21.6491717Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-12-04T08:59:21.6492107Z  # if we're on the base branch then use the parent commit 2025-12-04T08:59:21.6492396Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-12-04T08:59:21.6492622Z else 2025-12-04T08:59:21.6492860Z  # otherwise we're on a PR, so use the most recent base commit 2025-12-04T08:59:21.6493174Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-12-04T08:59:21.6493420Z fi 2025-12-04T08:59:21.6493579Z  2025-12-04T08:59:21.6493751Z if [[ -z "${MERGE_BASE}" ]]; then 2025-12-04T08:59:21.6494004Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-12-04T08:59:21.6494238Z  2025-12-04T08:59:21.6494548Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-12-04T08:59:21.6494918Z  exit 0 2025-12-04T08:59:21.6495088Z fi 2025-12-04T08:59:21.6495247Z  2025-12-04T08:59:21.6495468Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-12-04T08:59:21.6495911Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-12-04T08:59:21.6496285Z  exit 1 2025-12-04T08:59:21.6496440Z fi 2025-12-04T08:59:21.6496594Z  2025-12-04T08:59:21.6496848Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-12-04T08:59:21.6497276Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-12-04T08:59:21.6497746Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-12-04T08:59:21.6498192Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-12-04T08:59:21.6498683Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-12-04T08:59:21.6499032Z fi 2025-12-04T08:59:21.6499182Z  2025-12-04T08:59:21.6499378Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-12-04T08:59:21.6503456Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:59:21.6503697Z env: 2025-12-04T08:59:21.6503859Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:59:21.6504047Z DOCKER_BUILD_DIR: .ci/docker 2025-12-04T08:59:21.6504277Z BASE_REVISION: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:59:21.6505009Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:59:21.6505709Z DOCKER_TAG: pytorch-linux-jammy-py3.13-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:59:21.6506198Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:59:21.6506577Z DOCKER_PUSH: 2025-12-04T08:59:21.6506742Z ##[endgroup] 2025-12-04T08:59:21.6524699Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:59:21.6525016Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:59:21.6526588Z + aws ecr get-login-password --region us-east-1 2025-12-04T08:59:21.6527397Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:59:22.0475016Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T08:59:22.0475549Z Configure a credential helper to remove this warning. See 2025-12-04T08:59:22.0476085Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T08:59:22.0476373Z 2025-12-04T08:59:22.0476571Z Login Succeeded 2025-12-04T08:59:22.0489215Z ++ date +%s 2025-12-04T08:59:22.0497826Z + START_TIME=1764838762 2025-12-04T08:59:22.0500708Z ++ date +%s 2025-12-04T08:59:22.0518538Z + [[ 1764831562 -lt 1764838762 ]] 2025-12-04T08:59:22.0519150Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:59:22.2244755Z { 2025-12-04T08:59:22.2245430Z "schemaVersion": 2, 2025-12-04T08:59:22.2245843Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-12-04T08:59:22.2246201Z "config": { 2025-12-04T08:59:22.2246499Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-12-04T08:59:22.2246844Z "size": 33423, 2025-12-04T08:59:22.2247213Z "digest": "sha256:ec2694749736a2db0a3fc51e66855e1d8587fa275743e36cf855f84eb3657d81" 2025-12-04T08:59:22.2247600Z }, 2025-12-04T08:59:22.2247791Z "layers": [ 2025-12-04T08:59:22.2247985Z { 2025-12-04T08:59:22.2248267Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:22.2248629Z "size": 30447951, 2025-12-04T08:59:22.2248983Z "digest": "sha256:63e5bc7682b85ae57a1221210f64d62e7a90b0a30f19af4ca734b8242ae49d63" 2025-12-04T08:59:22.2249361Z }, 2025-12-04T08:59:22.2249503Z { 2025-12-04T08:59:22.2249734Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:22.2250065Z "size": 1554, 2025-12-04T08:59:22.2250455Z "digest": "sha256:5d7cdf329a71403db02b5555668658a4b038b991e04d647171c6899daf716bc2" 2025-12-04T08:59:22.2250885Z }, 2025-12-04T08:59:22.2251047Z { 2025-12-04T08:59:22.2251342Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:22.2251711Z "size": 344035294, 2025-12-04T08:59:22.2252020Z "digest": "sha256:ec9e1d9fa09bddb2a07cae6f7a721cd936dc180ab6decff2eef942947c5602fb" 2025-12-04T08:59:22.2252347Z }, 2025-12-04T08:59:22.2252496Z { 2025-12-04T08:59:22.2252726Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:22.2253007Z "size": 788, 2025-12-04T08:59:22.2253306Z "digest": "sha256:ecc0ad894800976a058f4cd07cc3d8b26b7d53e9143e8492c4efdb0cd5d32a90" 2025-12-04T08:59:22.2253629Z }, 2025-12-04T08:59:22.2253766Z { 2025-12-04T08:59:22.2253992Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:22.2254412Z "size": 63270230, 2025-12-04T08:59:22.2254684Z "digest": "sha256:66aa28e77868d3240014c5eae99987458abcc72bcd13d592b469c8de5711121b" 2025-12-04T08:59:22.2254969Z }, 2025-12-04T08:59:22.2255105Z { 2025-12-04T08:59:22.2255319Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:22.2255569Z "size": 704, 2025-12-04T08:59:22.2255832Z "digest": "sha256:3146ea7b1a1918cf436803c66ec1bccc4336237745d148f462ac8c7b9bfa47b9" 2025-12-04T08:59:22.2256120Z }, 2025-12-04T08:59:22.2256245Z { 2025-12-04T08:59:22.2256454Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:22.2256704Z "size": 1218, 2025-12-04T08:59:22.2256950Z "digest": "sha256:4b24d224569c98b4ae96a4699ae70c690aed4b4726928940c591f84f44a7b2ba" 2025-12-04T08:59:22.2257229Z }, 2025-12-04T08:59:22.2257358Z { 2025-12-04T08:59:22.2257560Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:22.2257815Z "size": 485, 2025-12-04T08:59:22.2258075Z "digest": "sha256:532f1c73380a85353786cefb93d433a6fb80428d27c6f3410bf5c96eeea13bca" 2025-12-04T08:59:22.2258354Z }, 2025-12-04T08:59:22.2258477Z { 2025-12-04T08:59:22.2258683Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:22.2259032Z "size": 110, 2025-12-04T08:59:22.2259444Z "digest": "sha256:71171e651a230b97acf04a00a26ce0f55bd205a749e6fc5626b7374b44ad7c08" 2025-12-04T08:59:22.2259865Z }, 2025-12-04T08:59:22.2260039Z { 2025-12-04T08:59:22.2260318Z + exit 0 2025-12-04T08:59:22.2260613Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:22.2260997Z "size": 4960, 2025-12-04T08:59:22.2261343Z "digest": "sha256:bab1dbff0e7045ea3cc10082b2988f4355bafac0e7e3b94b649097ef17ad696b" 2025-12-04T08:59:22.2261631Z }, 2025-12-04T08:59:22.2261769Z { 2025-12-04T08:59:22.2261987Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:22.2262245Z "size": 1756, 2025-12-04T08:59:22.2262608Z "digest": "sha256:eb8a681d1f0592d4026eab3c589b3dc03f43072d58ad435dd4f5a3a6973da2cb" 2025-12-04T08:59:22.2262901Z }, 2025-12-04T08:59:22.2263034Z { 2025-12-04T08:59:22.2263251Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:22.2263510Z "size": 724, 2025-12-04T08:59:22.2263774Z "digest": "sha256:49d1d100432350aab83151f29c01b0400b7b4ded557d5b46621d034a59a0d0a0" 2025-12-04T08:59:22.2264049Z }, 2025-12-04T08:59:22.2264189Z { 2025-12-04T08:59:22.2264403Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:22.2264789Z "size": 543, 2025-12-04T08:59:22.2265097Z "digest": "sha256:1af02ccf85b4fddafab869c606906a1d8f090564c4a4d0a4db19eab8c7af0af2" 2025-12-04T08:59:22.2265430Z }, 2025-12-04T08:59:22.2265570Z { 2025-12-04T08:59:22.2265800Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:22.2266095Z "size": 3315534263, 2025-12-04T08:59:22.2266395Z "digest": "sha256:bd0dc937cc40eab2e144779bd2f2f63700da9ec4bf406d3e0c5057bcadd05f79" 2025-12-04T08:59:22.2266724Z }, 2025-12-04T08:59:22.2266873Z { 2025-12-04T08:59:22.2267094Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:22.2267337Z "size": 32, 2025-12-04T08:59:22.2267590Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:59:22.2267869Z }, 2025-12-04T08:59:22.2267993Z { 2025-12-04T08:59:22.2268196Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:22.2268438Z "size": 396, 2025-12-04T08:59:22.2268685Z "digest": "sha256:666aefabf1c25ca0cd9b3ba942292a5dd08c9f1b470fa4a88b6265add1b73283" 2025-12-04T08:59:22.2268965Z }, 2025-12-04T08:59:22.2269092Z { 2025-12-04T08:59:22.2269284Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:22.2269530Z "size": 104, 2025-12-04T08:59:22.2269776Z "digest": "sha256:5c84dce3f9ac5e876d2d600086978634d14e6ce793813b03726a9b9c49c3bf1d" 2025-12-04T08:59:22.2270108Z }, 2025-12-04T08:59:22.2270245Z { 2025-12-04T08:59:22.2270447Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:22.2270696Z "size": 230, 2025-12-04T08:59:22.2270932Z "digest": "sha256:a67cf2f1f14a74649e111e92e567165d78524343538859613dde3c2f06264d9b" 2025-12-04T08:59:22.2271200Z }, 2025-12-04T08:59:22.2271325Z { 2025-12-04T08:59:22.2271561Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:22.2271810Z "size": 3229771, 2025-12-04T08:59:22.2272064Z "digest": "sha256:8f2c45652fabd4bca4050f246c1ed3974a3232a974429c605ec5373b6c098ce9" 2025-12-04T08:59:22.2272335Z }, 2025-12-04T08:59:22.2272470Z { 2025-12-04T08:59:22.2272678Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:22.2272920Z "size": 1472, 2025-12-04T08:59:22.2273187Z "digest": "sha256:f0ac8456b039514aff2eb78f7fc5cb05f8ccceb92e0d5e2ce28cce7c8cfb900a" 2025-12-04T08:59:22.2273481Z }, 2025-12-04T08:59:22.2273605Z { 2025-12-04T08:59:22.2273815Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:22.2274071Z "size": 482, 2025-12-04T08:59:22.2274316Z "digest": "sha256:c294d7e80893bdb1a969e9220863c0e3fc111aa34131f1f122837f5d093ed279" 2025-12-04T08:59:22.2274599Z }, 2025-12-04T08:59:22.2274734Z { 2025-12-04T08:59:22.2274932Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:22.2275183Z "size": 203, 2025-12-04T08:59:22.2275436Z "digest": "sha256:1417f0b90bf0d9cf2c4200d4d52862ff158ebda69e6e5a30263c5d02d8ae8de6" 2025-12-04T08:59:22.2275716Z }, 2025-12-04T08:59:22.2275841Z { 2025-12-04T08:59:22.2276049Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:22.2276299Z "size": 608, 2025-12-04T08:59:22.2276546Z "digest": "sha256:882d5bb60fddaf8c10b9e78cc47390585b2051839078dcd4e08c581bd555f2b1" 2025-12-04T08:59:22.2276831Z }, 2025-12-04T08:59:22.2276960Z { 2025-12-04T08:59:22.2277200Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:22.2277455Z "size": 226, 2025-12-04T08:59:22.2277701Z "digest": "sha256:771960761da59669b0890e5d495223a29ecacd44653e80f695af96440325e22c" 2025-12-04T08:59:22.2277970Z }, 2025-12-04T08:59:22.2278103Z { 2025-12-04T08:59:22.2278311Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:22.2278555Z "size": 829, 2025-12-04T08:59:22.2278809Z "digest": "sha256:63909306d9f64e6d6a27bdd1d9c2f5d3dc0a551d8959b19e34876ca7cf7c70d1" 2025-12-04T08:59:22.2279090Z }, 2025-12-04T08:59:22.2279226Z { 2025-12-04T08:59:22.2279424Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:22.2279674Z "size": 32, 2025-12-04T08:59:22.2279930Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:59:22.2280207Z }, 2025-12-04T08:59:22.2280344Z { 2025-12-04T08:59:22.2280550Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:22.2280819Z "size": 104, 2025-12-04T08:59:22.2281082Z "digest": "sha256:21f3157a9966daa2851783ec3ab7f41daff6c78f5c01c0d6d2b01d193746b888" 2025-12-04T08:59:22.2281360Z }, 2025-12-04T08:59:22.2281482Z { 2025-12-04T08:59:22.2281685Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:22.2281986Z "size": 1495, 2025-12-04T08:59:22.2282248Z "digest": "sha256:a2f7b8670cc7a88c897cd5e3ce3deab774503eb3c756475b61d42353a94a5af6" 2025-12-04T08:59:22.2282536Z }, 2025-12-04T08:59:22.2282665Z { 2025-12-04T08:59:22.2282866Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:22.2283109Z "size": 459036759, 2025-12-04T08:59:22.2283377Z "digest": "sha256:509a01b2cd1856893c5e104a06f90da78faf492f63e4c88084668064c0e20191" 2025-12-04T08:59:22.2283658Z }, 2025-12-04T08:59:22.2283784Z { 2025-12-04T08:59:22.2284070Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:22.2284328Z "size": 164, 2025-12-04T08:59:22.2284577Z "digest": 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"sha256:48fd24c9e71e3eed48389090379370b0bfd74d096c6ce0fb8ccf2ccef8cf6e11" 2025-12-04T08:59:22.2396285Z }, 2025-12-04T08:59:22.2396402Z { 2025-12-04T08:59:22.2396601Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:22.2396847Z "size": 8075, 2025-12-04T08:59:22.2397092Z "digest": "sha256:09a7113a29ef20cc4bbb72f2539a8f0c6d7d6b87bf4f7551fb126737382d9713" 2025-12-04T08:59:22.2397371Z }, 2025-12-04T08:59:22.2397505Z { 2025-12-04T08:59:22.2397698Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:22.2397998Z "size": 303, 2025-12-04T08:59:22.2398258Z "digest": "sha256:8584255f3e588ff040aea8a02ee9fde7e4647da317c8bb37fd304b5a3a61e1ae" 2025-12-04T08:59:22.2398533Z }, 2025-12-04T08:59:22.2398663Z { 2025-12-04T08:59:22.2398871Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:22.2399114Z "size": 32, 2025-12-04T08:59:22.2399374Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:59:22.2399657Z }, 2025-12-04T08:59:22.2399788Z { 2025-12-04T08:59:22.2399986Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:22.2400234Z "size": 108, 2025-12-04T08:59:22.2400481Z "digest": "sha256:c30781360361a1d821335c321adc95ebee4c140fa1b1de2f6af1ebac1828edb1" 2025-12-04T08:59:22.2400751Z }, 2025-12-04T08:59:22.2400880Z { 2025-12-04T08:59:22.2401086Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:22.2401330Z "size": 54145665, 2025-12-04T08:59:22.2401601Z "digest": "sha256:3748a9a05bd7fa619f3f9e563b6d8a46579cd8a6d9c9311649b9e828deddf47a" 2025-12-04T08:59:22.2401881Z }, 2025-12-04T08:59:22.2402004Z { 2025-12-04T08:59:22.2402204Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:22.2402451Z "size": 32, 2025-12-04T08:59:22.2402696Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:59:22.2402975Z } 2025-12-04T08:59:22.2403110Z ] 2025-12-04T08:59:22.2403243Z } 2025-12-04T08:59:22.2426228Z ##[group]Run set -eux 2025-12-04T08:59:22.2426449Z set -eux 2025-12-04T08:59:22.2426748Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have 2025-12-04T08:59:22.2427439Z 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 2025-12-04T08:59:22.2432718Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:59:22.2432961Z env: 2025-12-04T08:59:22.2434105Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:59:22.2434284Z ##[endgroup] 2025-12-04T08:59:22.2458907Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-12-04T08:59:22.2459461Z + jq --raw-output .SecretString 2025-12-04T08:59:22.2459843Z + docker login --username pytorchbot --password-stdin 2025-12-04T08:59:22.2460264Z + jq -r .docker_hub_readonly_token 2025-12-04T08:59:22.7037412Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T08:59:22.7037859Z Configure a credential helper to remove this warning. See 2025-12-04T08:59:22.7038586Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T08:59:22.7038884Z 2025-12-04T08:59:22.7038989Z Login Succeeded 2025-12-04T08:59:22.7104863Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-12-04T08:59:22.7105158Z tag=${ECR_DOCKER_IMAGE##*:} 2025-12-04T08:59:22.7105468Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-12-04T08:59:22.7110125Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:59:22.7110374Z env: 2025-12-04T08:59:22.7110536Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:59:22.7111014Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:59:22.7111493Z ##[endgroup] 2025-12-04T08:59:22.7133793Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:59:22.7165619Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-12-04T08:59:22.7165920Z with: 2025-12-04T08:59:22.7166409Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:59:22.7166997Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:59:22.7167367Z env: 2025-12-04T08:59:22.7167540Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:59:22.7167741Z ##[endgroup] 2025-12-04T08:59:22.7178535Z ##[group]Run set -x 2025-12-04T08:59:22.7178740Z set -x 2025-12-04T08:59:22.7178905Z set +e 2025-12-04T08:59:22.7179074Z  2025-12-04T08:59:22.7179234Z login() { 2025-12-04T08:59:22.7179549Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-12-04T08:59:22.7179886Z } 2025-12-04T08:59:22.7180045Z  2025-12-04T08:59:22.7180233Z retry () { 2025-12-04T08:59:22.7180427Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-12-04T08:59:22.7180648Z } 2025-12-04T08:59:22.7180803Z  2025-12-04T08:59:22.7180969Z retry login "${DOCKER_REGISTRY}" 2025-12-04T08:59:22.7181173Z  2025-12-04T08:59:22.7181495Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-12-04T08:59:22.7181923Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-12-04T08:59:22.7182168Z  2025-12-04T08:59:22.7182322Z set -e 2025-12-04T08:59:22.7182561Z # ignore output since only exit code is used for conditional 2025-12-04T08:59:22.7182884Z # only pull docker image if it's not available locally 2025-12-04T08:59:22.7183229Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-12-04T08:59:22.7183558Z  retry docker pull "${DOCKER_IMAGE}" 2025-12-04T08:59:22.7183775Z fi 2025-12-04T08:59:22.7188949Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:59:22.7189258Z env: 2025-12-04T08:59:22.7189451Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:59:22.7190030Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:59:22.7190603Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:59:22.7190866Z ##[endgroup] 2025-12-04T08:59:22.7209699Z + set +e 2025-12-04T08:59:22.7209988Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:59:22.7210278Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:59:22.7212893Z + aws ecr get-login-password --region us-east-1 2025-12-04T08:59:22.7213334Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:59:23.1242439Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T08:59:23.1243123Z Configure a credential helper to remove this warning. See 2025-12-04T08:59:23.1243522Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T08:59:23.1243809Z 2025-12-04T08:59:23.1253500Z Login Succeeded 2025-12-04T08:59:23.1268354Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:59:23.1269229Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-12-04T08:59:23.3008513Z + IMAGE_SIZE=4324.578087806702 2025-12-04T08:59:23.3008864Z Compressed size of image in MB: 4324.578087806702 2025-12-04T08:59:23.3009187Z + echo 'Compressed size of image in MB: 4324.578087806702' 2025-12-04T08:59:23.3009491Z + set -e 2025-12-04T08:59:23.3010519Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:59:23.3112482Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:59:23.3113278Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:59:23.5192844Z pytorch-linux-jammy-py3.13-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a: Pulling from pytorch/ci-image 2025-12-04T08:59:23.5197942Z 63e5bc7682b8: Pulling fs layer 2025-12-04T08:59:23.5198240Z 5d7cdf329a71: Pulling fs layer 2025-12-04T08:59:23.5198522Z ec9e1d9fa09b: Pulling fs layer 2025-12-04T08:59:23.5198795Z ecc0ad894800: Pulling fs layer 2025-12-04T08:59:23.5199041Z 66aa28e77868: Pulling fs layer 2025-12-04T08:59:23.5199271Z 3146ea7b1a19: Pulling fs layer 2025-12-04T08:59:23.5199530Z 4b24d224569c: Pulling fs layer 2025-12-04T08:59:23.5199777Z 532f1c73380a: Pulling fs layer 2025-12-04T08:59:23.5200062Z 71171e651a23: Pulling fs layer 2025-12-04T08:59:23.5200322Z bab1dbff0e70: Pulling fs layer 2025-12-04T08:59:23.5200571Z eb8a681d1f05: Pulling fs layer 2025-12-04T08:59:23.5200822Z 49d1d1004323: Pulling fs layer 2025-12-04T08:59:23.5201085Z 1af02ccf85b4: Pulling fs layer 2025-12-04T08:59:23.5201296Z bd0dc937cc40: Pulling fs layer 2025-12-04T08:59:23.5201510Z 4f4fb700ef54: Pulling fs layer 2025-12-04T08:59:23.5201740Z 666aefabf1c2: Pulling fs layer 2025-12-04T08:59:23.5201929Z 5c84dce3f9ac: Pulling fs layer 2025-12-04T08:59:23.5202107Z a67cf2f1f14a: Pulling fs layer 2025-12-04T08:59:23.5202693Z 8f2c45652fab: Pulling fs layer 2025-12-04T08:59:23.5202959Z f0ac8456b039: Pulling fs layer 2025-12-04T08:59:23.5203220Z c294d7e80893: Pulling fs layer 2025-12-04T08:59:23.5203522Z 3146ea7b1a19: Waiting 2025-12-04T08:59:23.5203768Z 1417f0b90bf0: Pulling fs layer 2025-12-04T08:59:23.5204009Z 71171e651a23: Waiting 2025-12-04T08:59:23.5204245Z 882d5bb60fdd: Pulling fs layer 2025-12-04T08:59:23.5204545Z 4b24d224569c: Waiting 2025-12-04T08:59:23.5204706Z bab1dbff0e70: Waiting 2025-12-04T08:59:23.5204930Z eb8a681d1f05: Waiting 2025-12-04T08:59:23.5205111Z 49d1d1004323: Waiting 2025-12-04T08:59:23.5205261Z ecc0ad894800: Waiting 2025-12-04T08:59:23.5205425Z 1af02ccf85b4: Waiting 2025-12-04T08:59:23.5205683Z bd0dc937cc40: Waiting 2025-12-04T08:59:23.5205849Z 771960761da5: Pulling fs layer 2025-12-04T08:59:23.5206032Z 63909306d9f6: Pulling fs layer 2025-12-04T08:59:23.5206209Z 4f4fb700ef54: Waiting 2025-12-04T08:59:23.5206367Z 666aefabf1c2: Waiting 2025-12-04T08:59:23.5206526Z 21f3157a9966: Pulling fs layer 2025-12-04T08:59:23.5206715Z a2f7b8670cc7: Pulling fs layer 2025-12-04T08:59:23.5207034Z 509a01b2cd18: Pulling fs layer 2025-12-04T08:59:23.5207218Z 5c84dce3f9ac: Waiting 2025-12-04T08:59:23.5207491Z 1b9ef433f0df: Pulling fs layer 2025-12-04T08:59:23.5207701Z f5e5e60463a0: Pulling fs layer 2025-12-04T08:59:23.5207968Z 532f1c73380a: Waiting 2025-12-04T08:59:23.5208140Z de13710c9324: Pulling fs layer 2025-12-04T08:59:23.5208381Z dd1d189c5757: Pulling fs layer 2025-12-04T08:59:23.5208580Z fe1a89c22090: Pulling fs layer 2025-12-04T08:59:23.5208753Z ef7b523b5a9d: Pulling fs layer 2025-12-04T08:59:23.5208991Z f67469800d50: Pulling fs layer 2025-12-04T08:59:23.5209182Z 9d347f412094: Pulling fs layer 2025-12-04T08:59:23.5209367Z 81e236f854e8: Pulling fs layer 2025-12-04T08:59:23.5209551Z 9a47c04e6706: Pulling fs layer 2025-12-04T08:59:23.5209728Z a5cbe9b3635a: Pulling fs layer 2025-12-04T08:59:23.5209898Z 60c61c549f99: Pulling fs layer 2025-12-04T08:59:23.5210074Z 66aa28e77868: Waiting 2025-12-04T08:59:23.5210238Z eaaf13a8fc67: Pulling fs layer 2025-12-04T08:59:23.5210506Z a797cab91b74: Pulling fs layer 2025-12-04T08:59:23.5210678Z 714abc72bac5: Pulling fs layer 2025-12-04T08:59:23.5210857Z 4a3f00d5fd3e: Pulling fs layer 2025-12-04T08:59:23.5211036Z c2588c538e67: Pulling fs layer 2025-12-04T08:59:23.5211203Z 22459852068a: Pulling fs layer 2025-12-04T08:59:23.5211406Z 4584ea608f6c: Pulling fs layer 2025-12-04T08:59:23.5211834Z a67cf2f1f14a: Waiting 2025-12-04T08:59:23.5212028Z bb591d34d2c5: Pulling fs layer 2025-12-04T08:59:23.5212328Z b5305e7280c4: Pulling fs layer 2025-12-04T08:59:23.5212523Z f6751a1427d4: Pulling fs layer 2025-12-04T08:59:23.5212726Z 4df4adda1eb2: Pulling fs layer 2025-12-04T08:59:23.5212980Z 8f2c45652fab: Waiting 2025-12-04T08:59:23.5213169Z 6f66226fcb15: Pulling fs layer 2025-12-04T08:59:23.5213575Z e902e2053106: Pulling fs layer 2025-12-04T08:59:23.5213749Z f0ac8456b039: Waiting 2025-12-04T08:59:23.5213899Z c294d7e80893: Waiting 2025-12-04T08:59:23.5214067Z d4303740ae34: Pulling fs layer 2025-12-04T08:59:23.5214247Z e68596f8809a: Pulling fs layer 2025-12-04T08:59:23.5214409Z 1417f0b90bf0: Waiting 2025-12-04T08:59:23.5214576Z 159d7d10491b: Pulling fs layer 2025-12-04T08:59:23.5214747Z 882d5bb60fdd: Waiting 2025-12-04T08:59:23.5214908Z 057f7b4c805d: Pulling fs layer 2025-12-04T08:59:23.5215072Z ef7b523b5a9d: Waiting 2025-12-04T08:59:23.5215228Z 771960761da5: Waiting 2025-12-04T08:59:23.5215384Z 63909306d9f6: Waiting 2025-12-04T08:59:23.5215536Z a7270a6f691a: Pulling fs layer 2025-12-04T08:59:23.5215719Z 4ddf7237cbbd: Pulling fs layer 2025-12-04T08:59:23.5215938Z f5e5e60463a0: Waiting 2025-12-04T08:59:23.5216096Z d4c0b3c93cdd: Pulling fs layer 2025-12-04T08:59:23.5216268Z f67469800d50: Waiting 2025-12-04T08:59:23.5216434Z 7fb1d40f67d5: Pulling fs layer 2025-12-04T08:59:23.5216603Z 21f3157a9966: Waiting 2025-12-04T08:59:23.5216768Z 01812739d2d7: Pulling fs layer 2025-12-04T08:59:23.5216938Z 1b9ef433f0df: Waiting 2025-12-04T08:59:23.5217094Z 48fd24c9e71e: Pulling fs layer 2025-12-04T08:59:23.5217266Z 9d347f412094: Waiting 2025-12-04T08:59:23.5217425Z a2f7b8670cc7: Waiting 2025-12-04T08:59:23.5217574Z fe1a89c22090: Waiting 2025-12-04T08:59:23.5217739Z 09a7113a29ef: Pulling fs layer 2025-12-04T08:59:23.5217911Z de13710c9324: Waiting 2025-12-04T08:59:23.5218064Z 8584255f3e58: Pulling fs layer 2025-12-04T08:59:23.5218239Z 509a01b2cd18: Waiting 2025-12-04T08:59:23.5218396Z dd1d189c5757: Waiting 2025-12-04T08:59:23.5218553Z 22459852068a: Waiting 2025-12-04T08:59:23.5218702Z a797cab91b74: Waiting 2025-12-04T08:59:23.5218864Z c30781360361: Pulling fs layer 2025-12-04T08:59:23.5219039Z 3748a9a05bd7: Pulling fs layer 2025-12-04T08:59:23.5219203Z 4584ea608f6c: Waiting 2025-12-04T08:59:23.5219359Z 81e236f854e8: Waiting 2025-12-04T08:59:23.5219516Z 714abc72bac5: Waiting 2025-12-04T08:59:23.5219667Z c2588c538e67: Waiting 2025-12-04T08:59:23.5219821Z 4a3f00d5fd3e: Waiting 2025-12-04T08:59:23.5219977Z 4ddf7237cbbd: Waiting 2025-12-04T08:59:23.5220185Z 9a47c04e6706: Waiting 2025-12-04T08:59:23.5220351Z bb591d34d2c5: Waiting 2025-12-04T08:59:23.5220509Z d4c0b3c93cdd: Waiting 2025-12-04T08:59:23.5220715Z d4303740ae34: Waiting 2025-12-04T08:59:23.5220871Z 4df4adda1eb2: Waiting 2025-12-04T08:59:23.5221027Z 7fb1d40f67d5: Waiting 2025-12-04T08:59:23.5221179Z e68596f8809a: Waiting 2025-12-04T08:59:23.5221379Z b5305e7280c4: Waiting 2025-12-04T08:59:23.5221537Z a5cbe9b3635a: Waiting 2025-12-04T08:59:23.5221686Z 01812739d2d7: Waiting 2025-12-04T08:59:23.5221845Z 6f66226fcb15: Waiting 2025-12-04T08:59:23.5221999Z f6751a1427d4: Waiting 2025-12-04T08:59:23.5222150Z 159d7d10491b: Waiting 2025-12-04T08:59:23.5222306Z 48fd24c9e71e: Waiting 2025-12-04T08:59:23.5222461Z e902e2053106: Waiting 2025-12-04T08:59:23.5222614Z a7270a6f691a: Waiting 2025-12-04T08:59:23.5222762Z 057f7b4c805d: Waiting 2025-12-04T08:59:23.5222916Z 3748a9a05bd7: Waiting 2025-12-04T08:59:23.5223065Z 09a7113a29ef: Waiting 2025-12-04T08:59:23.5223237Z c30781360361: Waiting 2025-12-04T08:59:23.5223450Z 8584255f3e58: Waiting 2025-12-04T08:59:23.5223779Z eaaf13a8fc67: Waiting 2025-12-04T08:59:23.5973255Z 5d7cdf329a71: Verifying Checksum 2025-12-04T08:59:23.5973644Z 5d7cdf329a71: Download complete 2025-12-04T08:59:23.6541578Z ecc0ad894800: Verifying Checksum 2025-12-04T08:59:23.6542079Z ecc0ad894800: Download complete 2025-12-04T08:59:23.8591178Z 63e5bc7682b8: Verifying Checksum 2025-12-04T08:59:23.8591581Z 63e5bc7682b8: Download complete 2025-12-04T08:59:23.9228692Z 3146ea7b1a19: Download complete 2025-12-04T08:59:23.9909034Z 4b24d224569c: Download complete 2025-12-04T08:59:24.0545545Z 532f1c73380a: Verifying Checksum 2025-12-04T08:59:24.0545985Z 532f1c73380a: Download complete 2025-12-04T08:59:24.1394104Z 71171e651a23: Verifying Checksum 2025-12-04T08:59:24.1394572Z 71171e651a23: Download complete 2025-12-04T08:59:24.2095651Z bab1dbff0e70: Verifying Checksum 2025-12-04T08:59:24.2096367Z bab1dbff0e70: Download complete 2025-12-04T08:59:24.2723644Z eb8a681d1f05: Verifying Checksum 2025-12-04T08:59:24.2723992Z eb8a681d1f05: Download complete 2025-12-04T08:59:24.3294988Z 66aa28e77868: Verifying Checksum 2025-12-04T08:59:24.3295395Z 66aa28e77868: Download complete 2025-12-04T08:59:24.3415420Z 49d1d1004323: Verifying Checksum 2025-12-04T08:59:24.3415799Z 49d1d1004323: Download complete 2025-12-04T08:59:24.4167989Z 1af02ccf85b4: Verifying Checksum 2025-12-04T08:59:24.4168432Z 1af02ccf85b4: Download complete 2025-12-04T08:59:24.4222352Z 4f4fb700ef54: Verifying Checksum 2025-12-04T08:59:24.4222695Z 4f4fb700ef54: Download complete 2025-12-04T08:59:24.4906627Z 666aefabf1c2: Download complete 2025-12-04T08:59:24.5455409Z 63e5bc7682b8: Pull complete 2025-12-04T08:59:24.5549746Z 5c84dce3f9ac: Verifying Checksum 2025-12-04T08:59:24.5550148Z 5c84dce3f9ac: Download complete 2025-12-04T08:59:24.5557515Z 5d7cdf329a71: Pull complete 2025-12-04T08:59:24.6465136Z a67cf2f1f14a: Verifying Checksum 2025-12-04T08:59:24.6465480Z a67cf2f1f14a: Download complete 2025-12-04T08:59:24.7464712Z 8f2c45652fab: Verifying Checksum 2025-12-04T08:59:24.7465114Z 8f2c45652fab: Download complete 2025-12-04T08:59:24.8182899Z f0ac8456b039: Verifying Checksum 2025-12-04T08:59:24.8183313Z f0ac8456b039: Download complete 2025-12-04T08:59:24.8822450Z c294d7e80893: Verifying Checksum 2025-12-04T08:59:24.8822766Z c294d7e80893: Download complete 2025-12-04T08:59:24.9480079Z 1417f0b90bf0: Download complete 2025-12-04T08:59:25.0094592Z 882d5bb60fdd: Verifying Checksum 2025-12-04T08:59:25.0094819Z 882d5bb60fdd: Download complete 2025-12-04T08:59:25.0793519Z 771960761da5: Verifying Checksum 2025-12-04T08:59:25.0793795Z 771960761da5: Download complete 2025-12-04T08:59:25.1774565Z 63909306d9f6: Download complete 2025-12-04T08:59:25.2499447Z 21f3157a9966: Verifying Checksum 2025-12-04T08:59:25.2499778Z 21f3157a9966: Download complete 2025-12-04T08:59:25.3249270Z a2f7b8670cc7: Download complete 2025-12-04T08:59:27.0139256Z ec9e1d9fa09b: Download complete 2025-12-04T08:59:27.1049459Z 1b9ef433f0df: Verifying Checksum 2025-12-04T08:59:27.1050588Z 1b9ef433f0df: Download complete 2025-12-04T08:59:27.1783259Z f5e5e60463a0: Verifying Checksum 2025-12-04T08:59:27.1783672Z f5e5e60463a0: Download complete 2025-12-04T08:59:27.2462958Z de13710c9324: Verifying Checksum 2025-12-04T08:59:27.2463387Z de13710c9324: Download complete 2025-12-04T08:59:27.3229195Z dd1d189c5757: Download complete 2025-12-04T08:59:27.5565120Z fe1a89c22090: Verifying Checksum 2025-12-04T08:59:27.5565755Z fe1a89c22090: Download complete 2025-12-04T08:59:27.6267280Z ef7b523b5a9d: Verifying Checksum 2025-12-04T08:59:27.6927603Z f67469800d50: Verifying Checksum 2025-12-04T08:59:27.6927976Z f67469800d50: Download complete 2025-12-04T08:59:27.7624109Z 9d347f412094: Verifying Checksum 2025-12-04T08:59:27.7624422Z 9d347f412094: Download complete 2025-12-04T08:59:27.8370633Z 81e236f854e8: Verifying Checksum 2025-12-04T08:59:27.8370996Z 81e236f854e8: Download complete 2025-12-04T08:59:27.9289714Z 9a47c04e6706: Verifying Checksum 2025-12-04T08:59:27.9290072Z 9a47c04e6706: Download complete 2025-12-04T08:59:28.0167511Z a5cbe9b3635a: Verifying Checksum 2025-12-04T08:59:28.0167977Z a5cbe9b3635a: Download complete 2025-12-04T08:59:28.0887406Z 60c61c549f99: Verifying Checksum 2025-12-04T08:59:28.0887855Z 60c61c549f99: Download complete 2025-12-04T08:59:28.1604455Z eaaf13a8fc67: Download complete 2025-12-04T08:59:28.2222014Z a797cab91b74: Verifying Checksum 2025-12-04T08:59:28.2222494Z a797cab91b74: Download complete 2025-12-04T08:59:28.3075878Z 714abc72bac5: Verifying Checksum 2025-12-04T08:59:28.3076690Z 714abc72bac5: Download complete 2025-12-04T08:59:28.3708494Z 4a3f00d5fd3e: Verifying Checksum 2025-12-04T08:59:28.3708967Z 4a3f00d5fd3e: Download complete 2025-12-04T08:59:28.4381794Z c2588c538e67: Verifying Checksum 2025-12-04T08:59:28.5086992Z c2588c538e67: Download complete 2025-12-04T08:59:28.5087422Z 22459852068a: Verifying Checksum 2025-12-04T08:59:28.5087774Z 22459852068a: Download complete 2025-12-04T08:59:28.6024351Z 4584ea608f6c: Download complete 2025-12-04T08:59:28.6734580Z bb591d34d2c5: Download complete 2025-12-04T08:59:28.7339405Z b5305e7280c4: Download complete 2025-12-04T08:59:28.8031479Z f6751a1427d4: Verifying Checksum 2025-12-04T08:59:28.8031881Z f6751a1427d4: Download complete 2025-12-04T08:59:28.8737569Z 4df4adda1eb2: Verifying Checksum 2025-12-04T08:59:28.8737876Z 4df4adda1eb2: Download complete 2025-12-04T08:59:28.9474694Z 6f66226fcb15: Verifying Checksum 2025-12-04T08:59:28.9475345Z 6f66226fcb15: Download complete 2025-12-04T08:59:29.0291333Z e902e2053106: Verifying Checksum 2025-12-04T08:59:29.0291807Z e902e2053106: Download complete 2025-12-04T08:59:29.1254305Z d4303740ae34: Verifying Checksum 2025-12-04T08:59:29.1254697Z d4303740ae34: Download complete 2025-12-04T08:59:29.1795130Z e68596f8809a: Verifying Checksum 2025-12-04T08:59:29.1795547Z e68596f8809a: Download complete 2025-12-04T08:59:29.2406857Z 159d7d10491b: Verifying Checksum 2025-12-04T08:59:29.2407376Z 159d7d10491b: Download complete 2025-12-04T08:59:29.3111179Z 057f7b4c805d: Verifying Checksum 2025-12-04T08:59:29.3111497Z 057f7b4c805d: Download complete 2025-12-04T08:59:29.3818716Z a7270a6f691a: Verifying Checksum 2025-12-04T08:59:29.3819018Z a7270a6f691a: Download complete 2025-12-04T08:59:29.4512630Z 4ddf7237cbbd: Download complete 2025-12-04T08:59:29.9534919Z 509a01b2cd18: Verifying Checksum 2025-12-04T08:59:29.9535332Z 509a01b2cd18: Download complete 2025-12-04T08:59:30.0449794Z 7fb1d40f67d5: Verifying Checksum 2025-12-04T08:59:30.0450342Z 7fb1d40f67d5: Download complete 2025-12-04T08:59:30.1655388Z 01812739d2d7: Download complete 2025-12-04T08:59:30.2507964Z 48fd24c9e71e: Verifying Checksum 2025-12-04T08:59:30.2508441Z 48fd24c9e71e: Download complete 2025-12-04T08:59:30.3278143Z 09a7113a29ef: Verifying Checksum 2025-12-04T08:59:30.3278453Z 09a7113a29ef: Download complete 2025-12-04T08:59:30.4003943Z 8584255f3e58: Download complete 2025-12-04T08:59:30.4744071Z c30781360361: Verifying Checksum 2025-12-04T08:59:30.4744515Z c30781360361: Download complete 2025-12-04T08:59:31.0648247Z 3748a9a05bd7: Verifying Checksum 2025-12-04T08:59:31.0648751Z 3748a9a05bd7: Download complete 2025-12-04T08:59:31.9751521Z d4c0b3c93cdd: Verifying Checksum 2025-12-04T08:59:31.9751991Z d4c0b3c93cdd: Download complete 2025-12-04T08:59:34.1184818Z ec9e1d9fa09b: Pull complete 2025-12-04T08:59:34.3866251Z ecc0ad894800: Pull complete 2025-12-04T08:59:36.0827941Z 66aa28e77868: Pull complete 2025-12-04T08:59:36.2728384Z 3146ea7b1a19: Pull complete 2025-12-04T08:59:36.6100540Z 4b24d224569c: Pull complete 2025-12-04T08:59:36.8287156Z 532f1c73380a: Pull complete 2025-12-04T08:59:37.0800123Z 71171e651a23: Pull complete 2025-12-04T08:59:37.3294949Z bab1dbff0e70: Pull complete 2025-12-04T08:59:37.6114144Z eb8a681d1f05: Pull complete 2025-12-04T08:59:37.8486057Z 49d1d1004323: Pull complete 2025-12-04T08:59:38.1390079Z 1af02ccf85b4: Pull complete 2025-12-04T08:59:57.5363667Z bd0dc937cc40: Download complete 2025-12-04T09:00:51.5205802Z bd0dc937cc40: Pull complete 2025-12-04T09:00:51.8564393Z 4f4fb700ef54: Pull complete 2025-12-04T09:00:51.8939538Z 666aefabf1c2: Pull complete 2025-12-04T09:00:51.9780413Z 5c84dce3f9ac: Pull complete 2025-12-04T09:00:52.0884469Z a67cf2f1f14a: Pull complete 2025-12-04T09:00:52.1991384Z 8f2c45652fab: Pull complete 2025-12-04T09:00:52.2452444Z f0ac8456b039: Pull complete 2025-12-04T09:00:52.3462899Z c294d7e80893: Pull complete 2025-12-04T09:00:52.4205435Z 1417f0b90bf0: Pull complete 2025-12-04T09:00:52.4483129Z 882d5bb60fdd: Pull complete 2025-12-04T09:00:52.5159210Z 771960761da5: Pull complete 2025-12-04T09:00:52.6868337Z 63909306d9f6: Pull complete 2025-12-04T09:00:53.0440668Z 21f3157a9966: Pull complete 2025-12-04T09:00:53.0944402Z a2f7b8670cc7: Pull complete 2025-12-04T09:01:03.9381289Z 509a01b2cd18: Pull complete 2025-12-04T09:01:03.9623131Z 1b9ef433f0df: Pull complete 2025-12-04T09:01:03.9848036Z f5e5e60463a0: Pull complete 2025-12-04T09:01:04.0306843Z de13710c9324: Pull complete 2025-12-04T09:01:04.0518512Z dd1d189c5757: Pull complete 2025-12-04T09:01:04.2309338Z fe1a89c22090: Pull complete 2025-12-04T09:01:04.2529276Z ef7b523b5a9d: Pull complete 2025-12-04T09:01:04.2743130Z f67469800d50: Pull complete 2025-12-04T09:01:04.3174778Z 9d347f412094: Pull complete 2025-12-04T09:01:04.3394161Z 81e236f854e8: Pull complete 2025-12-04T09:01:04.3602948Z 9a47c04e6706: Pull complete 2025-12-04T09:01:04.4026238Z a5cbe9b3635a: Pull complete 2025-12-04T09:01:04.4246169Z 60c61c549f99: Pull complete 2025-12-04T09:01:04.4714133Z eaaf13a8fc67: Pull complete 2025-12-04T09:01:04.4917990Z a797cab91b74: Pull complete 2025-12-04T09:01:04.5332508Z 714abc72bac5: Pull complete 2025-12-04T09:01:04.5558065Z 4a3f00d5fd3e: Pull complete 2025-12-04T09:01:04.6004878Z c2588c538e67: Pull complete 2025-12-04T09:01:04.6426927Z 22459852068a: Pull complete 2025-12-04T09:01:04.6647750Z 4584ea608f6c: Pull complete 2025-12-04T09:01:04.7082831Z bb591d34d2c5: Pull complete 2025-12-04T09:01:04.7520181Z b5305e7280c4: Pull complete 2025-12-04T09:01:04.7737787Z f6751a1427d4: Pull complete 2025-12-04T09:01:04.8183675Z 4df4adda1eb2: Pull complete 2025-12-04T09:01:04.8635632Z 6f66226fcb15: Pull complete 2025-12-04T09:01:04.8860102Z e902e2053106: Pull complete 2025-12-04T09:01:04.9288876Z d4303740ae34: Pull complete 2025-12-04T09:01:04.9498298Z e68596f8809a: Pull complete 2025-12-04T09:01:04.9937680Z 159d7d10491b: Pull complete 2025-12-04T09:01:05.0184894Z 057f7b4c805d: Pull complete 2025-12-04T09:01:05.0621419Z a7270a6f691a: Pull complete 2025-12-04T09:01:05.0831494Z 4ddf7237cbbd: Pull complete 2025-12-04T09:01:10.6673366Z d4c0b3c93cdd: Pull complete 2025-12-04T09:01:10.6913601Z 7fb1d40f67d5: Pull complete 2025-12-04T09:01:10.7138819Z 01812739d2d7: Pull complete 2025-12-04T09:01:10.7359832Z 48fd24c9e71e: Pull complete 2025-12-04T09:01:10.7584061Z 09a7113a29ef: Pull complete 2025-12-04T09:01:10.7802535Z 8584255f3e58: Pull complete 2025-12-04T09:01:10.8264323Z c30781360361: Pull complete 2025-12-04T09:01:12.4904755Z 3748a9a05bd7: Pull complete 2025-12-04T09:01:12.5488130Z Digest: sha256:c1f9c18037d25fae103c0c0844cb0df24f11f4a552ff16335543fa9a064e86bb 2025-12-04T09:01:12.5561546Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:01:12.5617611Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:01:12.5676240Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:01:12.5676851Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:01:12.5684113Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:01:12.5684361Z env: 2025-12-04T09:01:12.5684515Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:01:12.5684703Z ##[endgroup] 2025-12-04T09:01:12.5841598Z ##[group]Run pytorch/test-infra/.github/actions/setup-nvidia@main 2025-12-04T09:01:12.5841873Z with: 2025-12-04T09:01:12.5842041Z driver-version: 580.82.07 2025-12-04T09:01:12.5842219Z env: 2025-12-04T09:01:12.5842378Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:01:12.5842562Z ##[endgroup] 2025-12-04T09:01:12.5898393Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:01:12.5898928Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:01:12.5903579Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:01:12.5903829Z env: 2025-12-04T09:01:12.5903986Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:01:12.5904161Z ##[endgroup] 2025-12-04T09:01:12.5993158Z ##[group]Run set -euo pipefail 2025-12-04T09:01:12.5993513Z set -euo pipefail 2025-12-04T09:01:12.5993993Z  2025-12-04T09:01:12.5994208Z has_gpu=false 2025-12-04T09:01:12.5994464Z devices="" 2025-12-04T09:01:12.5994711Z  2025-12-04T09:01:12.5994995Z if command -v nvidia-smi >/dev/null 2>&1; then 2025-12-04T09:01:12.5995467Z  if nvidia-smi -L >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T09:01:12.5995851Z  has_gpu=true 2025-12-04T09:01:12.5996168Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T09:01:12.5996481Z  fi 2025-12-04T09:01:12.5996699Z fi 2025-12-04T09:01:12.5996909Z  2025-12-04T09:01:12.5997132Z if [ "$has_gpu" = false ]; then 2025-12-04T09:01:12.5997525Z  if ls /dev/nvidia* >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T09:01:12.5997907Z  has_gpu=true 2025-12-04T09:01:12.5998218Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T09:01:12.5998529Z  fi 2025-12-04T09:01:12.5998750Z fi 2025-12-04T09:01:12.5998974Z  2025-12-04T09:01:12.5999287Z if [ "$has_gpu" = false ] && command -v lspci >/dev/null 2>&1; then 2025-12-04T09:01:12.5999784Z  if lspci | grep -i 'nvidia' >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T09:01:12.6000166Z  has_gpu=true 2025-12-04T09:01:12.6000458Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T09:01:12.6000779Z  fi 2025-12-04T09:01:12.6000989Z fi 2025-12-04T09:01:12.6001180Z  2025-12-04T09:01:12.6001477Z printf 'HAS_NVIDIA=%s\n' "$has_gpu" >> "$GITHUB_OUTPUT" 2025-12-04T09:01:12.6001993Z printf 'DETECTED_DEVICES<> "$GITHUB_OUTPUT" 2025-12-04T09:01:12.6008196Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:01:12.6008592Z env: 2025-12-04T09:01:12.6008827Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:01:12.6009091Z ##[endgroup] 2025-12-04T09:01:12.6610936Z ##[group]Run if [ "${HAS_NVIDIA}" = "true" ]; then 2025-12-04T09:01:12.6611253Z if [ "${HAS_NVIDIA}" = "true" ]; then 2025-12-04T09:01:12.6611528Z  echo "HAS_NVIDIA_GPU=true" >> "${GITHUB_ENV}" 2025-12-04T09:01:12.6611879Z  echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}" 2025-12-04T09:01:12.6612177Z else 2025-12-04T09:01:12.6612382Z  echo "HAS_NVIDIA_GPU=false" >> "${GITHUB_ENV}" 2025-12-04T09:01:12.6612615Z fi 2025-12-04T09:01:12.6617328Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:01:12.6617614Z env: 2025-12-04T09:01:12.6617786Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:01:12.6617982Z HAS_NVIDIA: false 2025-12-04T09:01:12.6618156Z ##[endgroup] 2025-12-04T09:01:12.6717971Z Prepare all required actions 2025-12-04T09:01:12.6747355Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-12-04T09:01:12.6747608Z with: 2025-12-04T09:01:12.6748200Z github-token: *** 2025-12-04T09:01:12.6748382Z env: 2025-12-04T09:01:12.6748543Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:01:12.6748764Z HAS_NVIDIA_GPU: false 2025-12-04T09:01:12.6748950Z ##[endgroup] 2025-12-04T09:01:12.6770569Z ##[group]Run set -eux 2025-12-04T09:01:12.6770761Z set -eux 2025-12-04T09:01:12.6771064Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-12-04T09:01:12.6775882Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:01:12.6776138Z env: 2025-12-04T09:01:12.6776313Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:01:12.6776513Z HAS_NVIDIA_GPU: false 2025-12-04T09:01:12.6776845Z GITHUB_TOKEN: *** 2025-12-04T09:01:12.6777016Z ##[endgroup] 2025-12-04T09:01:12.6797956Z + python3 .github/scripts/get_workflow_job_id.py 19922796517 i-0b030889d621e3811 2025-12-04T09:01:13.4369009Z Setting output job-id=57116440095 2025-12-04T09:01:13.4369539Z Setting output job-name=dynamo-test (3.13) / test (dynamo_wrapped, 1, 3, linux.c7i.2xlarge) 2025-12-04T09:01:13.4471047Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-12-04T09:01:13.4471613Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-12-04T09:01:13.4472172Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-12-04T09:01:13.4472671Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:01:13.4477261Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:01:13.4477504Z env: 2025-12-04T09:01:13.4477668Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:01:13.4477860Z HAS_NVIDIA_GPU: false 2025-12-04T09:01:13.4478037Z JOB_ID: 57116440095 2025-12-04T09:01:13.4478299Z JOB_NAME: dynamo-test (3.13) / test (dynamo_wrapped, 1, 3, linux.c7i.2xlarge) 2025-12-04T09:01:13.4478596Z WORKFLOW_NAME: dynamo-unittest 2025-12-04T09:01:13.4478827Z WORKFLOW_RUN_ID: 19922796517 2025-12-04T09:01:13.4479011Z MONITOR_LOG_INTERVAL: 5 2025-12-04T09:01:13.4479207Z MONITOR_DATA_COLLECT_INTERVAL: 1 2025-12-04T09:01:13.4479406Z ##[endgroup] 2025-12-04T09:01:13.8007501Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T09:01:14.0703102Z Collecting psutil==5.9.8 2025-12-04T09:01:14.0836261Z 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) 2025-12-04T09:01:14.1377172Z Collecting dataclasses_json==0.6.7 2025-12-04T09:01:14.1404961Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-12-04T09:01:14.1620795Z Collecting nvidia-ml-py==11.525.84 2025-12-04T09:01:14.1655678Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-12-04T09:01:14.2475102Z Collecting marshmallow<4.0.0,>=3.18.0 2025-12-04T09:01:14.2508320Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-12-04T09:01:14.2698220Z Collecting typing-inspect<1,>=0.4.0 2025-12-04T09:01:14.2728667Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-12-04T09:01:14.3137113Z Collecting packaging>=17.0 2025-12-04T09:01:14.3171895Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-12-04T09:01:14.3367660Z Collecting mypy-extensions>=0.3.0 2025-12-04T09:01:14.3397512Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-12-04T09:01:14.3743518Z Collecting typing-extensions>=3.7.4 2025-12-04T09:01:14.3776538Z Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB) 2025-12-04T09:01:14.4441992Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json 2025-12-04T09:01:14.6715452Z 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 2025-12-04T09:01:14.8322425Z Prepare all required actions 2025-12-04T09:01:14.8322916Z Getting action download info 2025-12-04T09:01:15.0325589Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-12-04T09:01:15.2877889Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-12-04T09:01:15.6156123Z ##[group]Run ./.github/actions/download-build-artifacts 2025-12-04T09:01:15.6156378Z with: 2025-12-04T09:01:15.6156564Z name: linux-jammy-py3.13-clang12 2025-12-04T09:01:15.6156787Z s3-bucket: gha-artifacts 2025-12-04T09:01:15.6156972Z env: 2025-12-04T09:01:15.6157138Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:01:15.6157327Z HAS_NVIDIA_GPU: false 2025-12-04T09:01:15.6157501Z ##[endgroup] 2025-12-04T09:01:15.6179622Z ##[group]Run seemethere/download-artifact-s3@v4 2025-12-04T09:01:15.6179867Z with: 2025-12-04T09:01:15.6180048Z name: linux-jammy-py3.13-clang12 2025-12-04T09:01:15.6180303Z s3-bucket: gha-artifacts 2025-12-04T09:01:15.6180491Z region: us-east-1 2025-12-04T09:01:15.6180643Z env: 2025-12-04T09:01:15.6180795Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:01:15.6181091Z HAS_NVIDIA_GPU: false 2025-12-04T09:01:15.6181259Z ##[endgroup] 2025-12-04T09:01:15.9656428Z (node:43460) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-12-04T09:01:15.9656948Z 2025-12-04T09:01:15.9658805Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-12-04T09:01:15.9659372Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-12-04T09:01:15.9659793Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-12-04T09:01:16.1604452Z Found 1 objects with prefix pytorch/pytorch/19922796517/linux-jammy-py3.13-clang12/ 2025-12-04T09:01:16.1605195Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-12-04T09:01:24.5483011Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-12-04T09:01:24.5487838Z Artifact download has finished successfully 2025-12-04T09:01:24.5624229Z ##[group]Run unzip -o artifacts.zip 2025-12-04T09:01:24.5624477Z unzip -o artifacts.zip 2025-12-04T09:01:24.5629862Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:01:24.5630226Z env: 2025-12-04T09:01:24.5630395Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:01:24.5630602Z HAS_NVIDIA_GPU: false 2025-12-04T09:01:24.5630792Z ##[endgroup] 2025-12-04T09:01:24.5683805Z Archive: artifacts.zip 2025-12-04T09:01:24.5687600Z creating: dist/ 2025-12-04T09:01:25.6222564Z inflating: dist/torch-2.10.0a0+gitffd9b0f-cp313-cp313-linux_x86_64.whl 2025-12-04T09:01:25.6329574Z inflating: dist/.ninja_log 2025-12-04T09:01:25.6330011Z creating: build/custom_test_artifacts/ 2025-12-04T09:01:25.6330344Z creating: build/custom_test_artifacts/custom-op-build/ 2025-12-04T09:01:25.6330744Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/ 2025-12-04T09:01:25.6331129Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/pkgRedirects/ 2025-12-04T09:01:25.6336071Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/CMakeConfigureLog.yaml 2025-12-04T09:01:25.6336593Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/ 2025-12-04T09:01:25.6337060Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CMakeSystem.cmake 2025-12-04T09:01:25.6337550Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdC/ 2025-12-04T09:01:25.6337982Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdC/tmp/ 2025-12-04T09:01:25.6338427Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdC/CMakeCCompilerId.c 2025-12-04T09:01:25.6338883Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdC/a.out 2025-12-04T09:01:25.6339968Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CMakeCCompiler.cmake 2025-12-04T09:01:25.6340415Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdCXX/ 2025-12-04T09:01:25.6340837Z creating: 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inflating: build/bin/c10_lazy_test 2025-12-04T09:01:30.5312983Z inflating: build/bin/c10_nofatal_test 2025-12-04T09:01:30.5381799Z inflating: build/bin/c10_optional_test 2025-12-04T09:01:30.5436268Z inflating: build/bin/c10_ordered_preserving_dict_test 2025-12-04T09:01:30.5485858Z inflating: build/bin/c10_registry_test 2025-12-04T09:01:30.5538341Z inflating: build/bin/c10_string_util_test 2025-12-04T09:01:30.5662733Z inflating: build/bin/c10_small_vector_test 2025-12-04T09:01:30.5709629Z inflating: build/bin/c10_ssize_test 2025-12-04T09:01:30.5754142Z inflating: build/bin/c10_string_view_test 2025-12-04T09:01:30.5800184Z inflating: build/bin/c10_tempfile_test 2025-12-04T09:01:30.5835039Z inflating: build/bin/c10_intrusive_ptr_benchmark 2025-12-04T09:01:30.5883231Z inflating: build/bin/c10_typeid_test 2025-12-04T09:01:30.6430297Z inflating: build/bin/vec_test_all_types_DEFAULT 2025-12-04T09:01:30.6988365Z inflating: build/bin/vec_test_all_types_AVX512 2025-12-04T09:01:30.7559860Z inflating: build/bin/vec_test_all_types_AVX2 2025-12-04T09:01:30.7604786Z inflating: build/bin/test_vec_half_DEFAULT 2025-12-04T09:01:30.7680852Z inflating: build/bin/test_aoti_abi_check 2025-12-04T09:01:30.7726273Z inflating: build/bin/test_vec_half_AVX512 2025-12-04T09:01:30.7771419Z inflating: build/bin/test_vec_half_AVX2 2025-12-04T09:01:30.7818221Z inflating: build/bin/BackoffTest 2025-12-04T09:01:30.7865570Z inflating: build/bin/FileStoreTest 2025-12-04T09:01:30.7915365Z inflating: build/bin/TCPStoreTest 2025-12-04T09:01:30.7961872Z inflating: build/bin/HashStoreTest 2025-12-04T09:01:30.8022186Z inflating: build/bin/ProcessGroupGlooTest 2025-12-04T09:01:30.8068425Z inflating: build/bin/static_runtime_bench 2025-12-04T09:01:30.8300840Z inflating: build/bin/static_runtime_test 2025-12-04T09:01:30.8366412Z inflating: build/bin/Dict_test 2025-12-04T09:01:30.8417574Z inflating: build/bin/Dimname_test 2025-12-04T09:01:30.8481518Z inflating: build/bin/MaybeOwned_test 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2025-12-04T09:01:30.9367061Z inflating: build/bin/memory_format_test 2025-12-04T09:01:30.9416518Z inflating: build/bin/memory_overlapping_test 2025-12-04T09:01:30.9464452Z inflating: build/bin/mobile_memory_cleanup 2025-12-04T09:01:30.9515657Z inflating: build/bin/native_test 2025-12-04T09:01:30.9563054Z inflating: build/bin/operator_name_test 2025-12-04T09:01:30.9610158Z inflating: build/bin/operators_test 2025-12-04T09:01:30.9658469Z inflating: build/bin/packedtensoraccessor_test 2025-12-04T09:01:30.9721152Z inflating: build/bin/pow_test 2025-12-04T09:01:30.9771116Z inflating: build/bin/quantized_test 2025-12-04T09:01:30.9817913Z inflating: build/bin/reportMemoryUsage_test 2025-12-04T09:01:30.9865017Z inflating: build/bin/reduce_ops_test 2025-12-04T09:01:30.9915993Z inflating: build/bin/scalar_tensor_test 2025-12-04T09:01:30.9967413Z inflating: build/bin/scalar_test 2025-12-04T09:01:31.0015852Z inflating: build/bin/StorageUtils_test 2025-12-04T09:01:31.0063329Z inflating: build/bin/stride_properties_test 2025-12-04T09:01:31.0134842Z inflating: build/bin/tensor_iterator_test 2025-12-04T09:01:31.0180991Z inflating: build/bin/test_parallel 2025-12-04T09:01:31.0228305Z inflating: build/bin/thread_init_test 2025-12-04T09:01:31.0277639Z inflating: build/bin/type_ptr_test 2025-12-04T09:01:31.0333284Z inflating: build/bin/type_test 2025-12-04T09:01:31.0382694Z inflating: build/bin/undefined_tensor_test 2025-12-04T09:01:31.0433095Z inflating: build/bin/verify_api_visibility 2025-12-04T09:01:31.0502974Z inflating: build/bin/legacy_vmap_test 2025-12-04T09:01:31.0554532Z inflating: build/bin/weakref_test 2025-12-04T09:01:31.0603509Z inflating: build/bin/wrapdim_test 2025-12-04T09:01:31.0651701Z inflating: build/bin/xla_tensor_test 2025-12-04T09:01:31.0705598Z inflating: build/bin/IListRef_test 2025-12-04T09:01:31.0794853Z inflating: build/bin/List_test 2025-12-04T09:01:31.0850804Z inflating: build/bin/KernelFunction_test 2025-12-04T09:01:31.0964963Z inflating: build/bin/kernel_function_legacy_test 2025-12-04T09:01:31.1050687Z inflating: build/bin/kernel_function_test 2025-12-04T09:01:31.1166004Z inflating: build/bin/kernel_lambda_legacy_test 2025-12-04T09:01:31.1258021Z inflating: build/bin/kernel_lambda_test 2025-12-04T09:01:31.1313764Z inflating: build/bin/kernel_stackbased_test 2025-12-04T09:01:31.1399931Z inflating: build/bin/make_boxed_from_unboxed_functor_test 2025-12-04T09:01:31.1445653Z inflating: build/bin/CppSignature_test 2025-12-04T09:01:31.1496903Z inflating: build/bin/backend_fallback_test 2025-12-04T09:01:31.1540526Z inflating: build/bin/op_allowlist_test 2025-12-04T09:01:31.1808020Z inflating: build/bin/op_registration_test 2025-12-04T09:01:31.1865273Z inflating: build/bin/inline_container_test 2025-12-04T09:01:31.2145567Z inflating: build/bin/test_lazy 2025-12-04T09:01:31.2150873Z inflating: build/bin/example_allreduce 2025-12-04T09:01:31.2198160Z inflating: build/bin/test_dist_autograd 2025-12-04T09:01:31.2259674Z inflating: build/bin/test_cpp_rpc 2025-12-04T09:01:31.3552097Z inflating: build/bin/test_api 2025-12-04T09:01:31.4521850Z inflating: build/bin/test_jit 2025-12-04T09:01:31.4523478Z inflating: build/bin/parallel_benchmark 2025-12-04T09:01:31.4525854Z inflating: build/bin/torch_shm_manager 2025-12-04T09:01:31.4526160Z creating: .additional_ci_files/ 2025-12-04T09:01:31.4584347Z inflating: .additional_ci_files/test-times.json 2025-12-04T09:01:31.4799353Z inflating: .additional_ci_files/test-class-times.json 2025-12-04T09:01:31.4829688Z ##[group]Run rm artifacts.zip 2025-12-04T09:01:31.4829913Z rm artifacts.zip 2025-12-04T09:01:31.4834540Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:01:31.4834783Z env: 2025-12-04T09:01:31.4834927Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:01:31.4835115Z HAS_NVIDIA_GPU: false 2025-12-04T09:01:31.4835287Z ##[endgroup] 2025-12-04T09:01:31.5135070Z ##[group]Run df -H 2025-12-04T09:01:31.5135243Z df -H 2025-12-04T09:01:31.5139072Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:01:31.5139319Z env: 2025-12-04T09:01:31.5139467Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:01:31.5139650Z HAS_NVIDIA_GPU: false 2025-12-04T09:01:31.5139825Z ##[endgroup] 2025-12-04T09:01:31.5551095Z Filesystem Size Used Avail Use% Mounted on 2025-12-04T09:01:31.5554388Z devtmpfs 4.2M 0 4.2M 0% /dev 2025-12-04T09:01:31.5557916Z tmpfs 8.3G 0 8.3G 0% /dev/shm 2025-12-04T09:01:31.5560124Z tmpfs 3.3G 676k 3.3G 1% /run 2025-12-04T09:01:31.5560431Z /dev/nvme0n1p1 161G 28G 134G 17% / 2025-12-04T09:01:31.5560699Z tmpfs 8.3G 13k 8.3G 1% /tmp 2025-12-04T09:01:31.5560954Z /dev/nvme0n1p128 11M 1.4M 9.2M 13% /boot/efi 2025-12-04T09:01:31.5655179Z Prepare all required actions 2025-12-04T09:01:31.5655678Z Getting action download info 2025-12-04T09:01:31.7316154Z ##[group]Run ./.github/actions/download-td-artifacts 2025-12-04T09:01:31.7316405Z with: 2025-12-04T09:01:31.7316557Z env: 2025-12-04T09:01:31.7316704Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:01:31.7316890Z HAS_NVIDIA_GPU: false 2025-12-04T09:01:31.7317061Z ##[endgroup] 2025-12-04T09:01:31.7381780Z ##[group]Run seemethere/download-artifact-s3@v4 2025-12-04T09:01:31.7382003Z with: 2025-12-04T09:01:31.7382152Z name: td_results 2025-12-04T09:01:31.7382321Z s3-bucket: gha-artifacts 2025-12-04T09:01:31.7382500Z region: us-east-1 2025-12-04T09:01:31.7382647Z env: 2025-12-04T09:01:31.7382796Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:01:31.7382973Z HAS_NVIDIA_GPU: false 2025-12-04T09:01:31.7383137Z ##[endgroup] 2025-12-04T09:01:32.3766732Z (node:43481) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-12-04T09:01:32.3767240Z 2025-12-04T09:01:32.3767388Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-12-04T09:01:32.3767751Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-12-04T09:01:32.3768101Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-12-04T09:01:32.4648460Z Found 0 objects with prefix pytorch/pytorch/19922796517/td_results/ 2025-12-04T09:01:32.4653812Z Artifact download has finished successfully 2025-12-04T09:01:32.4801455Z ##[group]Run mkdir -p .additional_ci_files 2025-12-04T09:01:32.4801722Z mkdir -p .additional_ci_files 2025-12-04T09:01:32.4801999Z mv td_results.json .additional_ci_files/td_results.json || true 2025-12-04T09:01:32.4806659Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:01:32.4806890Z env: 2025-12-04T09:01:32.4807052Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:01:32.4807232Z HAS_NVIDIA_GPU: false 2025-12-04T09:01:32.4807401Z ##[endgroup] 2025-12-04T09:01:32.5252380Z mv: cannot stat 'td_results.json': No such file or directory 2025-12-04T09:01:32.5333308Z ##[group]Run .github/scripts/parse_ref.py 2025-12-04T09:01:32.5333586Z .github/scripts/parse_ref.py 2025-12-04T09:01:32.5337872Z shell: /usr/bin/bash -e {0} 2025-12-04T09:01:32.5338056Z env: 2025-12-04T09:01:32.5338208Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:01:32.5338389Z HAS_NVIDIA_GPU: false 2025-12-04T09:01:32.5338551Z ##[endgroup] 2025-12-04T09:01:32.5792595Z Setting output branch=main 2025-12-04T09:01:32.5935503Z Prepare all required actions 2025-12-04T09:01:32.5935794Z Getting action download info 2025-12-04T09:01:32.7191445Z ##[group]Run ./.github/actions/filter-test-configs 2025-12-04T09:01:32.7191716Z with: 2025-12-04T09:01:32.7192095Z github-token: *** 2025-12-04T09:01:32.7192868Z test-matrix: { include: [ { config: "dynamo_core", shard: 1, num_shards: 1, runner: "linux.c7i.2xlarge" }, { config: "dynamo_wrapped", shard: 1, num_shards: 3, runner: "linux.c7i.2xlarge" }, { config: "dynamo_wrapped", shard: 2, num_shards: 3, runner: "linux.c7i.2xlarge" }, { config: "dynamo_wrapped", shard: 3, num_shards: 3, runner: "linux.c7i.2xlarge" }, ]} 2025-12-04T09:01:32.7193733Z job-name: dynamo-test (3.13) / test (dynamo_wrapped, 1, 3, linux.c7i.2xlarge) 2025-12-04T09:01:32.7194013Z env: 2025-12-04T09:01:32.7194168Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:01:32.7194364Z HAS_NVIDIA_GPU: false 2025-12-04T09:01:32.7194548Z ##[endgroup] 2025-12-04T09:01:32.7257122Z ##[group]Run nick-fields/retry@v3.0.0 2025-12-04T09:01:32.7257369Z with: 2025-12-04T09:01:32.7257550Z shell: bash 2025-12-04T09:01:32.7257737Z timeout_minutes: 10 2025-12-04T09:01:32.7257923Z max_attempts: 5 2025-12-04T09:01:32.7258119Z retry_wait_seconds: 30 2025-12-04T09:01:32.7258683Z 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 2025-12-04T09:01:32.7259237Z polling_interval_seconds: 1 2025-12-04T09:01:32.7259465Z warning_on_retry: true 2025-12-04T09:01:32.7259661Z continue_on_error: false 2025-12-04T09:01:32.7259843Z env: 2025-12-04T09:01:32.7259991Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:01:32.7260176Z HAS_NVIDIA_GPU: false 2025-12-04T09:01:32.7260499Z GITHUB_TOKEN: *** 2025-12-04T09:01:32.7260668Z ##[endgroup] 2025-12-04T09:01:32.8840650Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-12-04T09:01:33.0572485Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T09:01:33.1796706Z Collecting requests==2.27.1 2025-12-04T09:01:33.1943409Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-12-04T09:01:33.4388876Z Collecting pyyaml==6.0.2 2025-12-04T09:01:33.4452321Z Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB) 2025-12-04T09:01:33.5395888Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10) 2025-12-04T09:01:33.5401137Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10) 2025-12-04T09:01:33.8621116Z Collecting charset-normalizer~=2.0.0 2025-12-04T09:01:33.8656523Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-12-04T09:01:34.0171221Z Collecting certifi>=2017.4.17 2025-12-04T09:01:34.0210839Z Downloading certifi-2025.11.12-py3-none-any.whl (159 kB) 2025-12-04T09:01:34.1596303Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml 2025-12-04T09:01:34.5812523Z Successfully installed certifi-2025.11.12 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-12-04T09:01:34.8190632Z Command completed after 1 attempt(s). 2025-12-04T09:01:34.8267648Z ##[group]Run set -x 2025-12-04T09:01:34.8267841Z set -x 2025-12-04T09:01:34.8267996Z  2025-12-04T09:01:34.8268240Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-12-04T09:01:34.8268522Z # in runner workspace 2025-12-04T09:01:34.8268896Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-12-04T09:01:34.8273580Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:01:34.8273812Z env: 2025-12-04T09:01:34.8273957Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:01:34.8274135Z HAS_NVIDIA_GPU: false 2025-12-04T09:01:34.8274302Z ##[endgroup] 2025-12-04T09:01:34.8293868Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-12-04T09:01:34.8433077Z Setting output branch=main 2025-12-04T09:01:34.8501516Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-12-04T09:01:34.8501809Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-12-04T09:01:34.8502054Z echo "Job name: ${JOB_NAME}" 2025-12-04T09:01:34.8502267Z  2025-12-04T09:01:34.8502535Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-12-04T09:01:34.8502855Z # in runner workspace 2025-12-04T09:01:34.8503168Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-12-04T09:01:34.8503495Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-12-04T09:01:34.8503723Z  --job-name "${JOB_NAME}" \ 2025-12-04T09:01:34.8503949Z  --test-matrix "{ include: [ 2025-12-04T09:01:34.8504267Z  { config: "dynamo_core", shard: 1, num_shards: 1, runner: "linux.c7i.2xlarge" }, 2025-12-04T09:01:34.8504802Z  { config: "dynamo_wrapped", shard: 1, num_shards: 3, runner: "linux.c7i.2xlarge" }, 2025-12-04T09:01:34.8505226Z  { config: "dynamo_wrapped", shard: 2, num_shards: 3, runner: "linux.c7i.2xlarge" }, 2025-12-04T09:01:34.8505638Z  { config: "dynamo_wrapped", shard: 3, num_shards: 3, runner: "linux.c7i.2xlarge" }, 2025-12-04T09:01:34.8505954Z ]} 2025-12-04T09:01:34.8506119Z " \ 2025-12-04T09:01:34.8506296Z  --selected-test-configs "" \ 2025-12-04T09:01:34.8506554Z  --pr-number "${PR_NUMBER}" \ 2025-12-04T09:01:34.8506787Z  --tag "${TAG}" \ 2025-12-04T09:01:34.8506994Z  --event-name "${EVENT_NAME}" \ 2025-12-04T09:01:34.8507224Z  --schedule "${SCHEDULE}" \ 2025-12-04T09:01:34.8507444Z  --branch "${HEAD_BRANCH}" 2025-12-04T09:01:34.8512097Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:01:34.8512361Z env: 2025-12-04T09:01:34.8512542Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:01:34.8512738Z HAS_NVIDIA_GPU: false 2025-12-04T09:01:34.8513146Z GITHUB_TOKEN: *** 2025-12-04T09:01:34.8513415Z JOB_NAME: dynamo-test (3.13) / test (dynamo_wrapped, 1, 3, linux.c7i.2xlarge) 2025-12-04T09:01:34.8513708Z PR_NUMBER: 2025-12-04T09:01:34.8513864Z TAG: 2025-12-04T09:01:34.8514025Z EVENT_NAME: schedule 2025-12-04T09:01:34.8514204Z SCHEDULE: 29 8 * * * 2025-12-04T09:01:34.8514375Z HEAD_BRANCH: main 2025-12-04T09:01:34.8514548Z ##[endgroup] 2025-12-04T09:01:34.8535083Z Workflow: dynamo-unittest 2025-12-04T09:01:34.8535413Z Job name: dynamo-test (3.13) / test (dynamo_wrapped, 1, 3, linux.c7i.2xlarge) 2025-12-04T09:01:35.1038186Z Setting output keep-going=True 2025-12-04T09:01:35.1038484Z Setting output ci-verbose-test-logs=False 2025-12-04T09:01:35.1038713Z Setting output ci-test-showlocals=False 2025-12-04T09:01:35.1038938Z Setting output ci-no-test-timeout=False 2025-12-04T09:01:35.1039148Z Setting output ci-no-td=False 2025-12-04T09:01:35.1039379Z Setting output ci-td-distributed=False 2025-12-04T09:01:35.1039593Z Setting output is-unstable=False 2025-12-04T09:01:35.1039793Z Setting output reenabled-issues= 2025-12-04T09:01:35.1040906Z Setting output test-matrix={"include": [{"config": "dynamo_core", "shard": 1, "num_shards": 1, "runner": "linux.c7i.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "linux.c7i.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "linux.c7i.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "linux.c7i.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}]} 2025-12-04T09:01:35.1042236Z Setting output is-test-matrix-empty=False 2025-12-04T09:01:35.1206874Z ##[group]Run echo "Filtered matrix:" 2025-12-04T09:01:35.1207103Z echo "Filtered matrix:" 2025-12-04T09:01:35.1208270Z echo "{"include": [{"config": "dynamo_core", "shard": 1, "num_shards": 1, "runner": "linux.c7i.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "linux.c7i.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "linux.c7i.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "linux.c7i.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}]}" 2025-12-04T09:01:35.1209329Z  2025-12-04T09:01:35.1209474Z echo 2025-12-04T09:01:35.1209652Z echo "Is the current job unstable? False" 2025-12-04T09:01:35.1209866Z  2025-12-04T09:01:35.1210006Z echo 2025-12-04T09:01:35.1210167Z echo "Is keep-going label set? True" 2025-12-04T09:01:35.1210362Z  2025-12-04T09:01:35.1210496Z echo 2025-12-04T09:01:35.1210647Z echo "Reenabled issues? " 2025-12-04T09:01:35.1215608Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:01:35.1215872Z env: 2025-12-04T09:01:35.1216039Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:01:35.1216227Z HAS_NVIDIA_GPU: false 2025-12-04T09:01:35.1216415Z ##[endgroup] 2025-12-04T09:01:35.1236683Z Filtered matrix: 2025-12-04T09:01:35.1237945Z {include: [{config: dynamo_core, shard: 1, num_shards: 1, runner: linux.c7i.2xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: dynamo_wrapped, shard: 1, num_shards: 3, runner: linux.c7i.2xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: dynamo_wrapped, shard: 2, num_shards: 3, runner: linux.c7i.2xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: dynamo_wrapped, shard: 3, num_shards: 3, runner: linux.c7i.2xlarge, rerun_disabled_tests: rerun_disabled_tests}]} 2025-12-04T09:01:35.1238964Z 2025-12-04T09:01:35.1239049Z Is the current job unstable? False 2025-12-04T09:01:35.1239207Z 2025-12-04T09:01:35.1239314Z Is keep-going label set? True 2025-12-04T09:01:35.1239462Z 2025-12-04T09:01:35.1239542Z Reenabled issues? 2025-12-04T09:01:35.1336463Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-12-04T09:01:35.1336798Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-12-04T09:01:35.1340668Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:01:35.1340909Z env: 2025-12-04T09:01:35.1341066Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:01:35.1341239Z HAS_NVIDIA_GPU: false 2025-12-04T09:01:35.1341419Z JOB_TIMEOUT: 240 2025-12-04T09:01:35.1341582Z ##[endgroup] 2025-12-04T09:01:35.1426709Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:01:35.1427084Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:01:35.1427408Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:01:35.1431759Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:01:35.1432031Z env: 2025-12-04T09:01:35.1432206Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:01:35.1432396Z HAS_NVIDIA_GPU: false 2025-12-04T09:01:35.1432557Z ##[endgroup] 2025-12-04T09:01:35.1591936Z ##[group]Run set -x 2025-12-04T09:01:35.1592179Z set -x 2025-12-04T09:01:35.1592328Z  2025-12-04T09:01:35.1592509Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-12-04T09:01:35.1592764Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-12-04T09:01:35.1593018Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-12-04T09:01:35.1593348Z  TEST_COMMAND=.ci/onnx/test.sh 2025-12-04T09:01:35.1593542Z else 2025-12-04T09:01:35.1593715Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-12-04T09:01:35.1593910Z fi 2025-12-04T09:01:35.1594054Z  2025-12-04T09:01:35.1594233Z # Leaving 1GB for the runner and other things 2025-12-04T09:01:35.1594582Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-12-04T09:01:35.1595125Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-12-04T09:01:35.1595545Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-12-04T09:01:35.1595858Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-12-04T09:01:35.1596115Z  2025-12-04T09:01:35.1596300Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-12-04T09:01:35.1596514Z  SHM_OPTS= 2025-12-04T09:01:35.1596708Z  JENKINS_USER= 2025-12-04T09:01:35.1596941Z  # ensure that docker container cleanly exits in 12 hours 2025-12-04T09:01:35.1597236Z  # if for some reason cleanup action doesn't stop container 2025-12-04T09:01:35.1597479Z  # when job is cancelled 2025-12-04T09:01:35.1597677Z  DOCKER_SHELL_CMD="sleep 12h" 2025-12-04T09:01:35.1597899Z  USED_IMAGE="${DOCKER_IMAGE_S390X}" 2025-12-04T09:01:35.1598106Z else 2025-12-04T09:01:35.1598273Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-12-04T09:01:35.1598497Z  JENKINS_USER="--user jenkins" 2025-12-04T09:01:35.1598703Z  DOCKER_SHELL_CMD= 2025-12-04T09:01:35.1598889Z  USED_IMAGE="${DOCKER_IMAGE}" 2025-12-04T09:01:35.1599068Z fi 2025-12-04T09:01:35.1599211Z  2025-12-04T09:01:35.1599427Z # detached container should get cleaned up by teardown_ec2_linux 2025-12-04T09:01:35.1599792Z # TODO: Stop building test binaries as part of the build phase 2025-12-04T09:01:35.1600147Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-12-04T09:01:35.1600464Z # shellcheck disable=SC2086,SC2090 2025-12-04T09:01:35.1600678Z container_name=$(docker run \ 2025-12-04T09:01:35.1600872Z  ${GPU_FLAG:-} \ 2025-12-04T09:01:35.1601074Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-12-04T09:01:35.1601292Z  -e BUILD_ENVIRONMENT \ 2025-12-04T09:01:35.1601482Z  -e PR_NUMBER \ 2025-12-04T09:01:35.1601669Z  -e GITHUB_ACTIONS \ 2025-12-04T09:01:35.1601861Z  -e GITHUB_REPOSITORY \ 2025-12-04T09:01:35.1602050Z  -e GITHUB_WORKFLOW \ 2025-12-04T09:01:35.1602239Z  -e GITHUB_JOB \ 2025-12-04T09:01:35.1602419Z  -e GITHUB_RUN_ID \ 2025-12-04T09:01:35.1602594Z  -e GITHUB_RUN_NUMBER \ 2025-12-04T09:01:35.1602789Z  -e GITHUB_RUN_ATTEMPT \ 2025-12-04T09:01:35.1602981Z  -e JOB_ID \ 2025-12-04T09:01:35.1603155Z  -e JOB_NAME \ 2025-12-04T09:01:35.1603321Z  -e BASE_SHA \ 2025-12-04T09:01:35.1603492Z  -e BRANCH \ 2025-12-04T09:01:35.1603656Z  -e SHA1 \ 2025-12-04T09:01:35.1603819Z  -e AWS_DEFAULT_REGION \ 2025-12-04T09:01:35.1604014Z  -e IN_WHEEL_TEST \ 2025-12-04T09:01:35.1604197Z  -e SHARD_NUMBER \ 2025-12-04T09:01:35.1604371Z  -e TEST_CONFIG \ 2025-12-04T09:01:35.1604555Z  -e NUM_TEST_SHARDS \ 2025-12-04T09:01:35.1604815Z  -e REENABLED_ISSUES \ 2025-12-04T09:01:35.1605014Z  -e CONTINUE_THROUGH_ERROR \ 2025-12-04T09:01:35.1605218Z  -e VERBOSE_TEST_LOGS \ 2025-12-04T09:01:35.1605409Z  -e TEST_SHOWLOCALS \ 2025-12-04T09:01:35.1605600Z  -e NO_TEST_TIMEOUT \ 2025-12-04T09:01:35.1605776Z  -e NO_TD \ 2025-12-04T09:01:35.1605989Z  -e TD_DISTRIBUTED \ 2025-12-04T09:01:35.1606181Z  -e PR_LABELS \ 2025-12-04T09:01:35.1606382Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-12-04T09:01:35.1606602Z  -e SCCACHE_BUCKET \ 2025-12-04T09:01:35.1606791Z  -e SCCACHE_REGION \ 2025-12-04T09:01:35.1606968Z  -e XLA_CUDA \ 2025-12-04T09:01:35.1607167Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-12-04T09:01:35.1607402Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-12-04T09:01:35.1607639Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-12-04T09:01:35.1607876Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-12-04T09:01:35.1608098Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-12-04T09:01:35.1608316Z  -e VLLM_TEST_HUGGING_FACE_TOKEN \ 2025-12-04T09:01:35.1608529Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-12-04T09:01:35.1608739Z  -e DASHBOARD_TAG \ 2025-12-04T09:01:35.1608931Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-12-04T09:01:35.1609173Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-12-04T09:01:35.1609439Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-12-04T09:01:35.1609701Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-12-04T09:01:35.1609946Z  --security-opt seccomp=unconfined \ 2025-12-04T09:01:35.1610154Z  --cap-add=SYS_PTRACE \ 2025-12-04T09:01:35.1610347Z  --ipc=host \ 2025-12-04T09:01:35.1610521Z  ${SHM_OPTS} \ 2025-12-04T09:01:35.1610683Z  --tty \ 2025-12-04T09:01:35.1610852Z  --detach \ 2025-12-04T09:01:35.1611033Z  --name="${container_name}" \ 2025-12-04T09:01:35.1611237Z  ${JENKINS_USER} \ 2025-12-04T09:01:35.1611456Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-12-04T09:01:35.1611703Z  -w /var/lib/jenkins/workspace \ 2025-12-04T09:01:35.1611924Z  "${USED_IMAGE}" \ 2025-12-04T09:01:35.1612117Z  ${DOCKER_SHELL_CMD} 2025-12-04T09:01:35.1612312Z ) 2025-12-04T09:01:35.1612555Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-12-04T09:01:35.1612832Z  2025-12-04T09:01:35.1613032Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-12-04T09:01:35.1613421Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-12-04T09:01:35.1613763Z fi 2025-12-04T09:01:35.1613925Z  2025-12-04T09:01:35.1614232Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-12-04T09:01:35.1617934Z shell: /usr/bin/bash -e {0} 2025-12-04T09:01:35.1618108Z env: 2025-12-04T09:01:35.1618263Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:01:35.1618444Z HAS_NVIDIA_GPU: false 2025-12-04T09:01:35.1618640Z BUILD_ENVIRONMENT: linux-jammy-py3.13-clang12 2025-12-04T09:01:35.1618856Z PR_NUMBER: 2025-12-04T09:01:35.1619016Z GITHUB_REPOSITORY: pytorch/pytorch 2025-12-04T09:01:35.1619224Z GITHUB_WORKFLOW: dynamo-unittest 2025-12-04T09:01:35.1619407Z GITHUB_JOB: test 2025-12-04T09:01:35.1619567Z GITHUB_RUN_ID: 19922796517 2025-12-04T09:01:35.1619742Z GITHUB_RUN_NUMBER: 141 2025-12-04T09:01:35.1619903Z GITHUB_RUN_ATTEMPT: 1 2025-12-04T09:01:35.1620064Z JOB_ID: 57116440095 2025-12-04T09:01:35.1620302Z JOB_NAME: dynamo-test (3.13) / test (dynamo_wrapped, 1, 3, linux.c7i.2xlarge) 2025-12-04T09:01:35.1620553Z BRANCH: main 2025-12-04T09:01:35.1620729Z SHA1: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:01:35.1621026Z BASE_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:01:35.1621238Z TEST_CONFIG: dynamo_wrapped 2025-12-04T09:01:35.1621415Z SHARD_NUMBER: 1 2025-12-04T09:01:35.1621565Z NUM_TEST_SHARDS: 3 2025-12-04T09:01:35.1621719Z EXTRA_FLAGS: 2025-12-04T09:01:35.1621870Z OP_BENCHMARK_TESTS: 2025-12-04T09:01:35.1622033Z REENABLED_ISSUES: 2025-12-04T09:01:35.1622199Z CONTINUE_THROUGH_ERROR: True 2025-12-04T09:01:35.1622425Z VERBOSE_TEST_LOGS: False 2025-12-04T09:01:35.1622600Z TEST_SHOWLOCALS: False 2025-12-04T09:01:35.1622769Z NO_TEST_TIMEOUT: False 2025-12-04T09:01:35.1622924Z NO_TD: False 2025-12-04T09:01:35.1623077Z TD_DISTRIBUTED: False 2025-12-04T09:01:35.1623275Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-12-04T09:01:35.1623490Z SCCACHE_REGION: us-east-1 2025-12-04T09:01:35.1623665Z SHM_SIZE: 1g 2025-12-04T09:01:35.1624090Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:01:35.1624597Z DOCKER_IMAGE_S390X: ci-image:pytorch-linux-jammy-py3.13-clang12 2025-12-04T09:01:35.1625004Z XLA_CUDA: 2025-12-04T09:01:35.1625265Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-12-04T09:01:35.1625590Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-12-04T09:01:35.1625815Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2025-12-04T09:01:35.1626040Z DASHBOARD_TAG: 2025-12-04T09:01:35.1626402Z VLLM_TEST_HUGGING_FACE_TOKEN: *** 2025-12-04T09:01:35.1626658Z HUGGING_FACE_HUB_TOKEN: *** 2025-12-04T09:01:35.1626909Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-12-04T09:01:35.1627217Z ARTIFACTS_FILE_SUFFIX: test-dynamo_wrapped-1-3-linux.c7i.2xlarge_57116440095 2025-12-04T09:01:35.1627525Z ##[endgroup] 2025-12-04T09:01:35.1647185Z + [[ dynamo_wrapped == \m\u\l\t\i\g\p\u ]] 2025-12-04T09:01:35.1650760Z + [[ linux-jammy-py3.13-clang12 == *onnx* ]] 2025-12-04T09:01:35.1654481Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-12-04T09:01:35.1654840Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-12-04T09:01:35.1679772Z + TOTAL_AVAILABLE_MEMORY_IN_GB='14.328 ' 2025-12-04T09:01:35.1680038Z + TOTAL_MEMORY_WITH_SWAP=17 2025-12-04T09:01:35.1680262Z + [[ linux-jammy-py3.13-clang12 == *\s\3\9\0\x* ]] 2025-12-04T09:01:35.1680501Z + SHM_OPTS=--shm-size=1g 2025-12-04T09:01:35.1680692Z + JENKINS_USER='--user jenkins' 2025-12-04T09:01:35.1680890Z + DOCKER_SHELL_CMD= 2025-12-04T09:01:35.1681339Z + USED_IMAGE=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:01:35.1685372Z +++ nproc --ignore=2 2025-12-04T09:01:35.1713929Z ++ docker run -e BUILD_ENVIRONMENT -e PR_NUMBER -e GITHUB_ACTIONS -e GITHUB_REPOSITORY -e GITHUB_WORKFLOW -e GITHUB_JOB -e GITHUB_RUN_ID -e GITHUB_RUN_NUMBER -e GITHUB_RUN_ATTEMPT -e JOB_ID -e JOB_NAME -e BASE_SHA -e BRANCH -e SHA1 -e AWS_DEFAULT_REGION -e IN_WHEEL_TEST -e SHARD_NUMBER -e TEST_CONFIG -e NUM_TEST_SHARDS -e REENABLED_ISSUES -e CONTINUE_THROUGH_ERROR -e VERBOSE_TEST_LOGS -e TEST_SHOWLOCALS -e NO_TEST_TIMEOUT -e NO_TD -e TD_DISTRIBUTED -e PR_LABELS -e MAX_JOBS=6 -e SCCACHE_BUCKET -e SCCACHE_REGION -e XLA_CUDA -e XLA_CLANG_CACHE_S3_BUCKET_NAME -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK -e PYTORCH_TEST_RERUN_DISABLED_TESTS -e SKIP_SCCACHE_INITIALIZATION=1 -e HUGGING_FACE_HUB_TOKEN -e VLLM_TEST_HUGGING_FACE_TOKEN -e SCRIBE_GRAPHQL_ACCESS_TOKEN -e DASHBOARD_TAG -e ARTIFACTS_FILE_SUFFIX --memory=14g --memory-swap=17g --env-file=/tmp/github_env_19922796517 --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-py3.13-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:01:41.5059083Z + container_name=db2995d426dd902994aff11f152811d23dcaf66195cdba426171bd026d66ce23 2025-12-04T09:01:41.5060388Z + echo DOCKER_CONTAINER_ID=db2995d426dd902994aff11f152811d23dcaf66195cdba426171bd026d66ce23 2025-12-04T09:01:41.5061092Z + [[ linux-jammy-py3.13-clang12 == *\s\3\9\0\x* ]] 2025-12-04T09:01:41.5065019Z ++ echo dist/torch-2.10.0a0+gitffd9b0f-cp313-cp313-linux_x86_64.whl 2025-12-04T09:01:41.5066850Z + docker exec -t db2995d426dd902994aff11f152811d23dcaf66195cdba426171bd026d66ce23 sh -c 'python3 -m pip install dist/torch-2.10.0a0+gitffd9b0f-cp313-cp313-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-12-04T09:01:41.9825938Z Processing ./dist/torch-2.10.0a0+gitffd9b0f-cp313-cp313-linux_x86_64.whl (from torch==2.10.0a0+gitffd9b0f) 2025-12-04T09:01:42.1677761Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.18.0) 2025-12-04T09:01:42.1679276Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (4.12.2) 2025-12-04T09:01:42.1680654Z Requirement already satisfied: setuptools in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (78.1.1) 2025-12-04T09:01:42.1681938Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (1.13.3) 2025-12-04T09:01:42.1683253Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (2.8.8) 2025-12-04T09:01:42.1684776Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.1.6) 2025-12-04T09:01:42.1688109Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (2025.10.0) 2025-12-04T09:01:42.1698979Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.3.0) 2025-12-04T09:01:42.1781857Z Requirement already satisfied: numpy>=1.7 in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from opt-einsum>=3.3->torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (2.1.2) 2025-12-04T09:01:42.1815380Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from sympy>=1.13.3->torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (1.3.0) 2025-12-04T09:01:42.1847279Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from jinja2->torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.0.3) 2025-12-04T09:01:42.3244578Z Installing collected packages: torch 2025-12-04T09:01:51.1675879Z Successfully installed torch-2.10.0a0+gitffd9b0f 2025-12-04T09:01:51.2339533Z + export TERM=vt100 2025-12-04T09:01:51.2339808Z + TERM=vt100 2025-12-04T09:01:51.2340046Z ++ dirname .ci/pytorch/test.sh 2025-12-04T09:01:51.2357007Z + source .ci/pytorch/common.sh 2025-12-04T09:01:51.2364130Z +++ dirname .ci/pytorch/common.sh 2025-12-04T09:01:51.2370875Z ++ source .ci/pytorch/common_utils.sh 2025-12-04T09:01:51.2376775Z +++ declare -f -t trap_add 2025-12-04T09:01:51.2380192Z ++ set -ex -o pipefail 2025-12-04T09:01:51.2380410Z ++ [[ linux-jammy-py3.13-clang12 == *rocm* ]] 2025-12-04T09:01:51.2380636Z ++ BUILD_TEST_LIBTORCH=0 2025-12-04T09:01:51.2383246Z ++ dirname .ci/pytorch/test.sh 2025-12-04T09:01:51.2389055Z + source .ci/pytorch/common-build.sh 2025-12-04T09:01:51.2393502Z ++ [[ linux-jammy-py3.13-clang12 != *win-* ]] 2025-12-04T09:01:51.2398366Z ++++ dirname .ci/pytorch/common-build.sh 2025-12-04T09:01:51.2405638Z +++ cd .ci/pytorch 2025-12-04T09:01:51.2405880Z +++ pwd -P 2025-12-04T09:01:51.2407032Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-12-04T09:01:51.2407642Z ++ [[ linux-jammy-py3.13-clang12 == *-pch* ]] 2025-12-04T09:01:51.2407859Z ++ which sccache 2025-12-04T09:01:51.2430490Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-12-04T09:01:51.2430772Z ++ sccache --stop-server 2025-12-04T09:01:51.2480723Z ++ true 2025-12-04T09:01:51.2480917Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-12-04T09:01:51.2498709Z ++ trap_add sccache_epilogue EXIT 2025-12-04T09:01:51.2499192Z ++ trap_add_cmd=sccache_epilogue 2025-12-04T09:01:51.2499414Z ++ shift 2025-12-04T09:01:51.2499579Z ++ for trap_add_name in "$@" 2025-12-04T09:01:51.2504759Z ++++ trap -p EXIT 2025-12-04T09:01:51.2506736Z +++ eval 'extract_trap_cmd ' 2025-12-04T09:01:51.2507002Z ++++ extract_trap_cmd 2025-12-04T09:01:51.2507244Z ++++ printf '%s\n' '' 2025-12-04T09:01:51.2507418Z +++ printf '%s\n' sccache_epilogue 2025-12-04T09:01:51.2509448Z ++ trap -- ' 2025-12-04T09:01:51.2509719Z sccache_epilogue' EXIT 2025-12-04T09:01:51.2509986Z ++ [[ -n 1 ]] 2025-12-04T09:01:51.2510367Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-12-04T09:01:51.2510771Z Skipping sccache server initialization, setting environment variables 2025-12-04T09:01:51.2511084Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-12-04T09:01:51.2511304Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-12-04T09:01:51.2511555Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T09:01:51.2511865Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T09:01:51.2518768Z ++ export RUST_LOG=sccache::server=error 2025-12-04T09:01:51.2519005Z ++ RUST_LOG=sccache::server=error 2025-12-04T09:01:51.2519203Z ++ sccache --zero-stats 2025-12-04T09:01:51.3843346Z Statistics zeroed. 2025-12-04T09:01:51.3846394Z ++ which ccache 2025-12-04T09:01:51.3866934Z + [[ linux-jammy-py3.13-clang12 != *rocm* ]] 2025-12-04T09:01:51.3867257Z + [[ linux-jammy-py3.13-clang12 != *s390x* ]] 2025-12-04T09:01:51.3867580Z + [[ -d /var/lib/jenkins/workspace ]] 2025-12-04T09:01:51.3869335Z ++ stat -c %u /var/lib/jenkins/workspace 2025-12-04T09:01:51.3944155Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-12-04T09:01:51.3944517Z + trap_add cleanup_workspace EXIT 2025-12-04T09:01:51.3944868Z + trap_add_cmd=cleanup_workspace 2025-12-04T09:01:51.3945091Z + shift 2025-12-04T09:01:51.3945269Z + for trap_add_name in "$@" 2025-12-04T09:01:51.3950252Z +++ trap -p EXIT 2025-12-04T09:01:51.3950691Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-12-04T09:01:51.3951047Z sccache_epilogue'\'' EXIT' 2025-12-04T09:01:51.3951318Z +++ extract_trap_cmd trap -- ' 2025-12-04T09:01:51.3951594Z sccache_epilogue' EXIT 2025-12-04T09:01:51.3951841Z +++ printf '%s\n' ' 2025-12-04T09:01:51.3952062Z sccache_epilogue' 2025-12-04T09:01:51.3952301Z ++ printf '%s\n' cleanup_workspace 2025-12-04T09:01:51.3954245Z + trap -- ' 2025-12-04T09:01:51.3954458Z sccache_epilogue 2025-12-04T09:01:51.3954632Z cleanup_workspace' EXIT 2025-12-04T09:01:51.3954871Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-12-04T09:01:51.8932744Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-12-04T09:01:51.9110777Z + [[ linux-jammy-py3.13-clang12 == *cuda* ]] 2025-12-04T09:01:51.9111092Z + echo 'Environment variables:' 2025-12-04T09:01:51.9111314Z Environment variables: 2025-12-04T09:01:51.9111509Z + env 2025-12-04T09:01:51.9143082Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T09:01:51.9145400Z CONTINUE_THROUGH_ERROR=True 2025-12-04T09:01:51.9145691Z BUILD_ENVIRONMENT=linux-jammy-py3.13-clang12 2025-12-04T09:01:51.9146170Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-12-04T09:01:51.9146393Z HOSTNAME=db2995d426dd 2025-12-04T09:01:51.9146804Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_5c659eaa-1e72-4ce3-8dea-660e9ac445ff 2025-12-04T09:01:51.9147201Z GITHUB_ACTION=__run_3 2025-12-04T09:01:51.9147380Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-12-04T09:01:51.9147563Z GITHUB_RUN_NUMBER=141 2025-12-04T09:01:51.9147739Z TEST_CONFIG=dynamo_wrapped 2025-12-04T09:01:51.9147928Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-12-04T09:01:51.9148364Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-12-04T09:01:51.9148578Z SCCACHE_IDLE_TIMEOUT=0 2025-12-04T09:01:51.9148848Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-12-04T09:01:51.9149092Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-12-04T09:01:51.9149300Z GITHUB_REF_TYPE=branch 2025-12-04T09:01:51.9149495Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:01:51.9149820Z XLA_CUDA= 2025-12-04T09:01:51.9149980Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-12-04T09:01:51.9150241Z HUGGING_FACE_HUB_TOKEN=*** 2025-12-04T09:01:51.9150601Z *** 2025-12-04T09:01:51.9150751Z GITHUB_REPOSITORY_ID=65600975 2025-12-04T09:01:51.9150937Z GITHUB_ACTIONS=true 2025-12-04T09:01:51.9151128Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T09:01:51.9151378Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:01:51.9151623Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:01:51.9151958Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/dynamo-unittest.yml@refs/heads/main 2025-12-04T09:01:51.9152282Z UCC_HOME=/usr 2025-12-04T09:01:51.9152439Z VERBOSE_TEST_LOGS=False 2025-12-04T09:01:51.9152607Z GITHUB_REF=refs/heads/main 2025-12-04T09:01:51.9152783Z SHARD_NUMBER=1 2025-12-04T09:01:51.9152944Z GITHUB_REF_PROTECTED=true 2025-12-04T09:01:51.9153108Z HOME=/var/lib/jenkins 2025-12-04T09:01:51.9153301Z GITHUB_API_URL=https://api.github.com 2025-12-04T09:01:51.9153526Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-12-04T09:01:51.9153709Z UCX_COMMIT= 2025-12-04T09:01:51.9153844Z USE_SYSTEM_NCCL=1 2025-12-04T09:01:51.9153993Z NUM_TEST_SHARDS=3 2025-12-04T09:01:51.9154139Z UCX_HOME=/usr 2025-12-04T09:01:51.9154466Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_5c659eaa-1e72-4ce3-8dea-660e9ac445ff 2025-12-04T09:01:51.9154903Z JOB_NAME=dynamo-test (3.13) / test (dynamo_wrapped, 1, 3, linux.c7i.2xlarge) 2025-12-04T09:01:51.9155336Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_5c659eaa-1e72-4ce3-8dea-660e9ac445ff 2025-12-04T09:01:51.9155784Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-12-04T09:01:51.9156073Z GITHUB_EVENT_NAME=schedule 2025-12-04T09:01:51.9156245Z DASHBOARD_TAG= 2025-12-04T09:01:51.9156399Z GITHUB_RUN_ID=19922796517 2025-12-04T09:01:51.9156561Z INSTALLED_OPENBLAS= 2025-12-04T09:01:51.9156916Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_5c659eaa-1e72-4ce3-8dea-660e9ac445ff 2025-12-04T09:01:51.9157303Z GITHUB_ACTOR=pytorchmergebot 2025-12-04T09:01:51.9157473Z PR_NUMBER= 2025-12-04T09:01:51.9157619Z DESIRED_CUDA= 2025-12-04T09:01:51.9157770Z GITHUB_RUN_ATTEMPT=1 2025-12-04T09:01:51.9157932Z ANACONDA_PYTHON_VERSION=3.13 2025-12-04T09:01:51.9158148Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-12-04T09:01:51.9158362Z TERM=vt100 2025-12-04T09:01:51.9158501Z INSTALLED_VISION=yes 2025-12-04T09:01:51.9158660Z BRANCH=main 2025-12-04T09:01:51.9158808Z SCCACHE_REGION=us-east-1 2025-12-04T09:01:51.9158982Z OPENSSL_ROOT_DIR=/opt/openssl 2025-12-04T09:01:51.9159166Z BUILD_AOT_INDUCTOR_TEST= 2025-12-04T09:01:51.9159337Z CUDA_PATH=/usr/local/cuda 2025-12-04T09:01:51.9159649Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-12-04T09:01:51.9159976Z GITHUB_SERVER_URL=https://github.com 2025-12-04T09:01:51.9160173Z UCC_COMMIT= 2025-12-04T09:01:51.9160315Z REENABLED_ISSUES= 2025-12-04T09:01:51.9160457Z DOCS= 2025-12-04T09:01:51.9160594Z SHLVL=1 2025-12-04T09:01:51.9160730Z MAX_JOBS=6 2025-12-04T09:01:51.9160865Z GITHUB_ACTOR_ID=97764156 2025-12-04T09:01:51.9161081Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:01:51.9161313Z GITHUB_REF_NAME=main 2025-12-04T09:01:51.9161574Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-12-04T09:01:51.9161830Z GITHUB_JOB=test 2025-12-04T09:01:51.9161984Z NO_TEST_TIMEOUT=False 2025-12-04T09:01:51.9162139Z TD_DISTRIBUTED=False 2025-12-04T09:01:51.9162367Z GITHUB_REPOSITORY=pytorch/pytorch 2025-12-04T09:01:51.9162565Z GITHUB_RETENTION_DAYS=90 2025-12-04T09:01:51.9162729Z OPENSSL_DIR=/opt/openssl 2025-12-04T09:01:51.9162901Z GITHUB_ACTION_REPOSITORY= 2025-12-04T09:01:51.9163371Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.13/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-12-04T09:01:51.9163865Z GITHUB_BASE_REF= 2025-12-04T09:01:51.9164010Z INSTALLED_ACL= 2025-12-04T09:01:51.9164251Z ARTIFACTS_FILE_SUFFIX=test-dynamo_wrapped-1-3-linux.c7i.2xlarge_57116440095 2025-12-04T09:01:51.9164524Z CI=true 2025-12-04T09:01:51.9164674Z GITHUB_REPOSITORY_OWNER=pytorch 2025-12-04T09:01:51.9164900Z RUST_LOG=sccache::server=error 2025-12-04T09:01:51.9165083Z JOB_ID=57116440095 2025-12-04T09:01:51.9165239Z GITHUB_HEAD_REF= 2025-12-04T09:01:51.9165386Z GITHUB_ACTION_REF= 2025-12-04T09:01:51.9165578Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-12-04T09:01:51.9165797Z TEST_SHOWLOCALS=False 2025-12-04T09:01:51.9165975Z GITHUB_WORKFLOW=dynamo-unittest 2025-12-04T09:01:51.9166162Z DEBIAN_FRONTEND=noninteractive 2025-12-04T09:01:51.9166521Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_5c659eaa-1e72-4ce3-8dea-660e9ac445ff 2025-12-04T09:01:51.9166867Z NO_TD=False 2025-12-04T09:01:51.9167022Z SKIP_SCCACHE_INITIALIZATION=1 2025-12-04T09:01:51.9167216Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-12-04T09:01:51.9167405Z _=/usr/bin/env 2025-12-04T09:01:51.9167605Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-12-04T09:01:51.9318819Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch 2025-12-04T09:01:51.9319332Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/bin 2025-12-04T09:01:51.9319672Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib 2025-12-04T09:01:51.9320022Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/test 2025-12-04T09:01:51.9320306Z + BUILD_DIR=build 2025-12-04T09:01:51.9320518Z + BUILD_RENAMED_DIR=build_renamed 2025-12-04T09:01:51.9320772Z + BUILD_BIN_DIR=build/bin 2025-12-04T09:01:51.9320959Z + SHARD_NUMBER=1 2025-12-04T09:01:51.9321177Z + NUM_TEST_SHARDS=3 2025-12-04T09:01:51.9321399Z + export TORCH_SERIALIZATION_DEBUG=1 2025-12-04T09:01:51.9321629Z + TORCH_SERIALIZATION_DEBUG=1 2025-12-04T09:01:51.9321817Z + export VALGRIND=ON 2025-12-04T09:01:51.9321986Z + VALGRIND=ON 2025-12-04T09:01:51.9322177Z + [[ linux-jammy-py3.13-clang12 == *clang9* ]] 2025-12-04T09:01:51.9322419Z + [[ linux-jammy-py3.13-clang12 == *xpu* ]] 2025-12-04T09:01:51.9322621Z + detect_cuda_arch 2025-12-04T09:01:51.9322807Z + [[ linux-jammy-py3.13-clang12 == *cuda* ]] 2025-12-04T09:01:51.9323033Z + [[ linux-jammy-py3.13-clang12 == *s390x* ]] 2025-12-04T09:01:51.9323228Z + [[ 0 == \1 ]] 2025-12-04T09:01:51.9323389Z + [[ True == \1 ]] 2025-12-04T09:01:51.9323567Z + [[ linux-jammy-py3.13-clang12 != *bazel* ]] 2025-12-04T09:01:51.9323795Z ++ realpath build/custom_test_artifacts 2025-12-04T09:01:51.9338770Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-12-04T09:01:51.9339140Z + [[ -n '' ]] 2025-12-04T09:01:51.9339358Z + echo 'Environment variables' 2025-12-04T09:01:51.9339556Z Environment variables 2025-12-04T09:01:51.9339728Z + env 2025-12-04T09:01:51.9355517Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T09:01:51.9356007Z CONTINUE_THROUGH_ERROR=True 2025-12-04T09:01:51.9356228Z BUILD_ENVIRONMENT=linux-jammy-py3.13-clang12 2025-12-04T09:01:51.9356663Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-12-04T09:01:51.9356917Z HOSTNAME=db2995d426dd 2025-12-04T09:01:51.9357340Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_5c659eaa-1e72-4ce3-8dea-660e9ac445ff 2025-12-04T09:01:51.9357786Z GITHUB_ACTION=__run_3 2025-12-04T09:01:51.9357998Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-12-04T09:01:51.9358217Z GITHUB_RUN_NUMBER=141 2025-12-04T09:01:51.9358386Z TEST_CONFIG=dynamo_wrapped 2025-12-04T09:01:51.9358788Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-12-04T09:01:51.9359021Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-12-04T09:01:51.9359243Z SCCACHE_IDLE_TIMEOUT=0 2025-12-04T09:01:51.9359542Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-12-04T09:01:51.9359752Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-12-04T09:01:51.9359960Z GITHUB_REF_TYPE=branch 2025-12-04T09:01:51.9360161Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:01:51.9360457Z XLA_CUDA= 2025-12-04T09:01:51.9360622Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-12-04T09:01:51.9360923Z HUGGING_FACE_HUB_TOKEN=*** 2025-12-04T09:01:51.9361139Z *** 2025-12-04T09:01:51.9361294Z GITHUB_REPOSITORY_ID=65600975 2025-12-04T09:01:51.9361498Z GITHUB_ACTIONS=true 2025-12-04T09:01:51.9361724Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T09:01:51.9361979Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:01:51.9362226Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:01:51.9362573Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/dynamo-unittest.yml@refs/heads/main 2025-12-04T09:01:51.9362886Z UCC_HOME=/usr 2025-12-04T09:01:51.9363048Z TORCH_SERIALIZATION_DEBUG=1 2025-12-04T09:01:51.9363233Z VERBOSE_TEST_LOGS=False 2025-12-04T09:01:51.9363403Z GITHUB_REF=refs/heads/main 2025-12-04T09:01:51.9363578Z SHARD_NUMBER=1 2025-12-04T09:01:51.9363740Z GITHUB_REF_PROTECTED=true 2025-12-04T09:01:51.9363914Z HOME=/var/lib/jenkins 2025-12-04T09:01:51.9364110Z GITHUB_API_URL=https://api.github.com 2025-12-04T09:01:51.9364329Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-12-04T09:01:51.9364520Z UCX_COMMIT= 2025-12-04T09:01:51.9364663Z USE_SYSTEM_NCCL=1 2025-12-04T09:01:51.9364821Z NUM_TEST_SHARDS=3 2025-12-04T09:01:51.9364968Z UCX_HOME=/usr 2025-12-04T09:01:51.9365361Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_5c659eaa-1e72-4ce3-8dea-660e9ac445ff 2025-12-04T09:01:51.9365810Z JOB_NAME=dynamo-test (3.13) / test (dynamo_wrapped, 1, 3, linux.c7i.2xlarge) 2025-12-04T09:01:51.9366244Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_5c659eaa-1e72-4ce3-8dea-660e9ac445ff 2025-12-04T09:01:51.9366706Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-12-04T09:01:51.9367005Z GITHUB_EVENT_NAME=schedule 2025-12-04T09:01:51.9367180Z DASHBOARD_TAG= 2025-12-04T09:01:51.9367330Z GITHUB_RUN_ID=19922796517 2025-12-04T09:01:51.9367508Z INSTALLED_OPENBLAS= 2025-12-04T09:01:51.9367869Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_5c659eaa-1e72-4ce3-8dea-660e9ac445ff 2025-12-04T09:01:51.9368254Z GITHUB_ACTOR=pytorchmergebot 2025-12-04T09:01:51.9368437Z PR_NUMBER= 2025-12-04T09:01:51.9368586Z DESIRED_CUDA= 2025-12-04T09:01:51.9368731Z GITHUB_RUN_ATTEMPT=1 2025-12-04T09:01:51.9368895Z VALGRIND=ON 2025-12-04T09:01:51.9369049Z ANACONDA_PYTHON_VERSION=3.13 2025-12-04T09:01:51.9369259Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-12-04T09:01:51.9369477Z TERM=vt100 2025-12-04T09:01:51.9369628Z INSTALLED_VISION=yes 2025-12-04T09:01:51.9369790Z BRANCH=main 2025-12-04T09:01:51.9369939Z SCCACHE_REGION=us-east-1 2025-12-04T09:01:51.9370125Z OPENSSL_ROOT_DIR=/opt/openssl 2025-12-04T09:01:51.9370309Z BUILD_AOT_INDUCTOR_TEST= 2025-12-04T09:01:51.9370477Z CUDA_PATH=/usr/local/cuda 2025-12-04T09:01:51.9370793Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-12-04T09:01:51.9371138Z GITHUB_SERVER_URL=https://github.com 2025-12-04T09:01:51.9371330Z UCC_COMMIT= 2025-12-04T09:01:51.9371492Z REENABLED_ISSUES= 2025-12-04T09:01:51.9371660Z DOCS= 2025-12-04T09:01:51.9371807Z SHLVL=1 2025-12-04T09:01:51.9371963Z MAX_JOBS=6 2025-12-04T09:01:51.9372127Z GITHUB_ACTOR_ID=97764156 2025-12-04T09:01:51.9372431Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:01:51.9372706Z GITHUB_REF_NAME=main 2025-12-04T09:01:51.9372977Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-12-04T09:01:51.9373302Z GITHUB_JOB=test 2025-12-04T09:01:51.9373466Z NO_TEST_TIMEOUT=False 2025-12-04T09:01:51.9373635Z TD_DISTRIBUTED=False 2025-12-04T09:01:51.9373811Z GITHUB_REPOSITORY=pytorch/pytorch 2025-12-04T09:01:51.9374002Z GITHUB_RETENTION_DAYS=90 2025-12-04T09:01:51.9374180Z OPENSSL_DIR=/opt/openssl 2025-12-04T09:01:51.9374362Z GITHUB_ACTION_REPOSITORY= 2025-12-04T09:01:51.9374823Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.13/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-12-04T09:01:51.9375347Z GITHUB_BASE_REF= 2025-12-04T09:01:51.9375506Z INSTALLED_ACL= 2025-12-04T09:01:51.9375745Z ARTIFACTS_FILE_SUFFIX=test-dynamo_wrapped-1-3-linux.c7i.2xlarge_57116440095 2025-12-04T09:01:51.9376022Z CI=true 2025-12-04T09:01:51.9376178Z GITHUB_REPOSITORY_OWNER=pytorch 2025-12-04T09:01:51.9376395Z RUST_LOG=sccache::server=error 2025-12-04T09:01:51.9376583Z JOB_ID=57116440095 2025-12-04T09:01:51.9376748Z GITHUB_HEAD_REF= 2025-12-04T09:01:51.9376900Z GITHUB_ACTION_REF= 2025-12-04T09:01:51.9377095Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-12-04T09:01:51.9377318Z TEST_SHOWLOCALS=False 2025-12-04T09:01:51.9377494Z GITHUB_WORKFLOW=dynamo-unittest 2025-12-04T09:01:51.9377677Z DEBIAN_FRONTEND=noninteractive 2025-12-04T09:01:51.9378057Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_5c659eaa-1e72-4ce3-8dea-660e9ac445ff 2025-12-04T09:01:51.9378426Z NO_TD=False 2025-12-04T09:01:51.9378583Z SKIP_SCCACHE_INITIALIZATION=1 2025-12-04T09:01:51.9378787Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-12-04T09:01:51.9378990Z _=/usr/bin/env 2025-12-04T09:01:51.9379150Z + echo 'Testing pytorch' 2025-12-04T09:01:51.9379321Z Testing pytorch 2025-12-04T09:01:51.9379487Z + export LANG=C.UTF-8 2025-12-04T09:01:51.9379641Z + LANG=C.UTF-8 2025-12-04T09:01:51.9398746Z + PR_NUMBER= 2025-12-04T09:01:51.9398999Z + [[ dynamo_wrapped == \d\e\f\a\u\l\t ]] 2025-12-04T09:01:51.9399330Z + [[ dynamo_wrapped == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-12-04T09:01:51.9399669Z + [[ dynamo_wrapped == \s\l\o\w ]] 2025-12-04T09:01:51.9399995Z + [[ linux-jammy-py3.13-clang12 == *slow-gradcheck* ]] 2025-12-04T09:01:51.9400326Z + [[ linux-jammy-py3.13-clang12 == *cuda* ]] 2025-12-04T09:01:51.9400618Z + [[ linux-jammy-py3.13-clang12 == *rocm* ]] 2025-12-04T09:01:51.9400831Z + [[ linux-jammy-py3.13-clang12 == *xpu* ]] 2025-12-04T09:01:51.9401038Z + [[ dynamo_wrapped == *crossref* ]] 2025-12-04T09:01:51.9401232Z + [[ linux-jammy-py3.13-clang12 == *rocm* ]] 2025-12-04T09:01:51.9401443Z + [[ linux-jammy-py3.13-clang12 == *xpu* ]] 2025-12-04T09:01:51.9401654Z + [[ linux-jammy-py3.13-clang12 != *-bazel-* ]] 2025-12-04T09:01:51.9401856Z + pip_install ninja==1.10.2 2025-12-04T09:01:51.9402077Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-12-04T09:01:51.9402352Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-12-04T09:01:52.2901242Z Collecting ninja==1.10.2 2025-12-04T09:01:52.3084754Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-12-04T09:01:52.3184851Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-12-04T09:01:52.4431387Z Installing collected packages: ninja 2025-12-04T09:01:52.4431717Z Attempting uninstall: ninja 2025-12-04T09:01:52.4455897Z Found existing installation: ninja 1.11.1.4 2025-12-04T09:01:52.4470885Z Uninstalling ninja-1.11.1.4: 2025-12-04T09:01:52.4510817Z Successfully uninstalled ninja-1.11.1.4 2025-12-04T09:01:52.4701770Z Successfully installed ninja-1.10.2 2025-12-04T09:01:52.5276344Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.13/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-12-04T09:01:52.5277388Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.13/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-12-04T09:01:52.5278296Z + [[ linux-jammy-py3.13-clang12 == *aarch64* ]] 2025-12-04T09:01:52.5278541Z + [[ linux-jammy-py3.13-clang12 == *asan* ]] 2025-12-04T09:01:52.5278773Z + [[ linux-jammy-py3.13-clang12 == *-debug* ]] 2025-12-04T09:01:52.5279007Z + [[ linux-jammy-py3.13-clang12 != *-bazel-* ]] 2025-12-04T09:01:52.5279346Z + echo 'We are not in debug mode: linux-jammy-py3.13-clang12. Expect the assertion to pass' 2025-12-04T09:01:52.5279881Z We are not in debug mode: linux-jammy-py3.13-clang12. Expect the assertion to pass 2025-12-04T09:01:52.5280156Z + cd test 2025-12-04T09:01:52.5280384Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-12-04T09:01:53.6174308Z + [[ dynamo_wrapped == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-12-04T09:01:53.6174654Z + [[ dynamo_wrapped == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-12-04T09:01:53.6174955Z + [[ dynamo_wrapped == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-12-04T09:01:53.6175253Z + DYNAMO_BENCHMARK_FLAGS=() 2025-12-04T09:01:53.6175522Z + [[ dynamo_wrapped == *pr_time_benchmarks* ]] 2025-12-04T09:01:53.6175756Z + [[ dynamo_wrapped == *dynamo_eager* ]] 2025-12-04T09:01:53.6175987Z + [[ dynamo_wrapped == *aot_eager* ]] 2025-12-04T09:01:53.6176226Z + [[ dynamo_wrapped == *aot_inductor* ]] 2025-12-04T09:01:53.6176480Z + [[ dynamo_wrapped == *max_autotune_inductor* ]] 2025-12-04T09:01:53.6176735Z + [[ dynamo_wrapped == *inductor* ]] 2025-12-04T09:01:53.6176970Z + [[ dynamo_wrapped == *dynamic* ]] 2025-12-04T09:01:53.6177544Z + [[ dynamo_wrapped == *cpu* ]] 2025-12-04T09:01:53.6177765Z + [[ dynamo_wrapped == *xpu* ]] 2025-12-04T09:01:53.6178019Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda) 2025-12-04T09:01:53.6198992Z + [[ linux-jammy-py3.13-clang12 == *libtorch* ]] 2025-12-04T09:01:53.6199381Z + [[ linux-jammy-py3.13-clang12 == *-bazel-* ]] 2025-12-04T09:01:53.6201027Z + cd test 2025-12-04T09:01:53.6201677Z + python -c 'import torch; print(torch.__config__.show())' 2025-12-04T09:01:54.4379864Z PyTorch built with: 2025-12-04T09:01:54.4380153Z - GCC 4.2 2025-12-04T09:01:54.4380398Z - C++ Version: 201703 2025-12-04T09:01:54.4380611Z - clang 12.0.1 2025-12-04T09:01:54.4380999Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-12-04T09:01:54.4381489Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-12-04T09:01:54.4381791Z - OpenMP 201811 2025-12-04T09:01:54.4382029Z - LAPACK is enabled (usually provided by MKL) 2025-12-04T09:01:54.4382273Z - NNPACK is enabled 2025-12-04T09:01:54.4382473Z - CPU capability usage: AVX512 2025-12-04T09:01:54.4385643Z - 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, 2025-12-04T09:01:54.4388940Z 2025-12-04T09:01:54.6677762Z + cd test 2025-12-04T09:01:54.6678490Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-12-04T09:01:55.5162297Z ATen/Parallel: 2025-12-04T09:01:55.5166137Z at::get_num_threads() : 4 2025-12-04T09:01:55.5167695Z at::get_num_interop_threads() : 4 2025-12-04T09:01:55.5172215Z OpenMP 201811 2025-12-04T09:01:55.5174526Z omp_get_max_threads() : 4 2025-12-04T09:01:55.5177333Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-12-04T09:01:55.5178260Z mkl_get_max_threads() : 4 2025-12-04T09:01:55.5178529Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-12-04T09:01:55.5178853Z std::thread::hardware_concurrency() : 8 2025-12-04T09:01:55.5179080Z Environment variables: 2025-12-04T09:01:55.5179260Z OMP_NUM_THREADS : [not set] 2025-12-04T09:01:55.5179471Z MKL_NUM_THREADS : [not set] 2025-12-04T09:01:55.5179668Z ATen parallel backend: OpenMP 2025-12-04T09:01:55.5179790Z 2025-12-04T09:01:55.7492718Z + [[ dynamo_wrapped == *numpy_2* ]] 2025-12-04T09:01:55.7493139Z + [[ linux-jammy-py3.13-clang12 == *aarch64* ]] 2025-12-04T09:01:55.7493402Z + [[ dynamo_wrapped == *backward* ]] 2025-12-04T09:01:55.7493668Z + [[ dynamo_wrapped == *libtorch_agnostic_targetting* ]] 2025-12-04T09:01:55.7493972Z + [[ dynamo_wrapped == *xla* ]] 2025-12-04T09:01:55.7494192Z + [[ dynamo_wrapped == *vllm* ]] 2025-12-04T09:01:55.7494426Z + [[ dynamo_wrapped == *executorch* ]] 2025-12-04T09:01:55.7494664Z + [[ dynamo_wrapped == \j\i\t\_\l\e\g\a\c\y ]] 2025-12-04T09:01:55.7494960Z + [[ dynamo_wrapped == \q\u\a\n\t\i\z\a\t\i\o\n ]] 2025-12-04T09:01:55.7495257Z + [[ linux-jammy-py3.13-clang12 == *libtorch* ]] 2025-12-04T09:01:55.7495539Z + [[ dynamo_wrapped == distributed ]] 2025-12-04T09:01:55.7495822Z + [[ dynamo_wrapped == *operator_benchmark* ]] 2025-12-04T09:01:55.7496093Z + [[ dynamo_wrapped == *operator_microbenchmark* ]] 2025-12-04T09:01:55.7496371Z + [[ dynamo_wrapped == *attention_microbenchmark* ]] 2025-12-04T09:01:55.7496605Z + [[ dynamo_wrapped == *inductor_distributed* ]] 2025-12-04T09:01:55.7496829Z + [[ dynamo_wrapped == *inductor-halide* ]] 2025-12-04T09:01:55.7497049Z + [[ dynamo_wrapped == *inductor-pallas* ]] 2025-12-04T09:01:55.7497268Z + [[ dynamo_wrapped == *inductor-triton-cpu* ]] 2025-12-04T09:01:55.7497504Z + [[ dynamo_wrapped == *inductor-micro-benchmark* ]] 2025-12-04T09:01:55.7497752Z + [[ dynamo_wrapped == *aoti_cross_compile_for_windows* ]] 2025-12-04T09:01:55.7497983Z + [[ dynamo_wrapped == *huggingface* ]] 2025-12-04T09:01:55.7498184Z + [[ dynamo_wrapped == *timm* ]] 2025-12-04T09:01:55.7498367Z + [[ dynamo_wrapped == cachebench ]] 2025-12-04T09:01:55.7498567Z + [[ dynamo_wrapped == verify_cachebench ]] 2025-12-04T09:01:55.7498775Z + [[ dynamo_wrapped == *torchbench* ]] 2025-12-04T09:01:55.7498977Z + [[ dynamo_wrapped == *inductor_cpp_wrapper* ]] 2025-12-04T09:01:55.7499190Z + [[ dynamo_wrapped == *inductor_core* ]] 2025-12-04T09:01:55.7499392Z + [[ dynamo_wrapped == *inductor* ]] 2025-12-04T09:01:55.7499587Z + [[ dynamo_wrapped == *einops* ]] 2025-12-04T09:01:55.7499778Z + [[ dynamo_wrapped == *dynamo_core* ]] 2025-12-04T09:01:55.7499984Z + [[ dynamo_wrapped == *dynamo_wrapped* ]] 2025-12-04T09:01:55.7500181Z + install_torchvision 2025-12-04T09:01:55.7500338Z + local orig_preload 2025-12-04T09:01:55.7500502Z + local commit 2025-12-04T09:01:55.7500680Z ++ get_pinned_commit vision 2025-12-04T09:01:55.7500861Z ++ cat .github/ci_commit_pins/vision.txt 2025-12-04T09:01:55.7520637Z + commit=617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:01:55.7520859Z + orig_preload= 2025-12-04T09:01:55.7521110Z + '[' -n '' ']' 2025-12-04T09:01:55.7521292Z + [[ linux-jammy-py3.13-clang12 == *cuda* ]] 2025-12-04T09:01:55.7521710Z + pip_build_and_install git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e dist/vision 2025-12-04T09:01:55.7522211Z + local build_target=git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:01:55.7522534Z + local wheel_dir=dist/vision 2025-12-04T09:01:55.7522722Z + local found_whl=0 2025-12-04T09:01:55.7523259Z + for file in "${wheel_dir}"/*.whl 2025-12-04T09:01:55.7523453Z + [[ -f dist/vision/*.whl ]] 2025-12-04T09:01:55.7523633Z + '[' 0 == 0 ']' 2025-12-04T09:01:55.7524032Z + python3 -m pip wheel --no-build-isolation --no-deps -w dist/vision git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:01:55.9861656Z Collecting git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:01:55.9862639Z Cloning https://github.com/pytorch/vision.git (to revision 617079d944b0e72632311c30ae2bbdf1168b901e) to /tmp/pip-req-build-_6lkt9q7 2025-12-04T09:01:56.0040657Z Running command git clone --filter=blob:none --quiet https://github.com/pytorch/vision.git /tmp/pip-req-build-_6lkt9q7 2025-12-04T09:01:57.5214733Z Running command git rev-parse -q --verify 'sha^617079d944b0e72632311c30ae2bbdf1168b901e' 2025-12-04T09:01:57.5227647Z Running command git fetch -q https://github.com/pytorch/vision.git 617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:01:57.6066488Z Resolved https://github.com/pytorch/vision.git to commit 617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:01:58.8461138Z Preparing metadata (pyproject.toml) ... [?25l- \ done 2025-12-04T09:01:58.8479924Z [?25hBuilding wheels for collected packages: torchvision 2025-12-04T09:03:08.3744507Z Building wheel for torchvision (pyproject.toml) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / done 2025-12-04T09:03:08.3765071Z [?25h Created wheel for torchvision: filename=torchvision-0.25.0a0+617079d-cp313-cp313-linux_x86_64.whl size=1162569 sha256=014b5e24f8ad2aabc40573705ca7be59f76a457ccd20670d9c817e5b12d8f27c 2025-12-04T09:03:08.3766951Z Stored in directory: /var/lib/jenkins/.cache/pip/wheels/e3/9b/7e/b3536a624eee3f106d5fe0d23f7fc5e8ce489a159e49af752c 2025-12-04T09:03:08.3792743Z Successfully built torchvision 2025-12-04T09:03:08.4506187Z + for file in "${wheel_dir}"/*.whl 2025-12-04T09:03:08.4506671Z + pip_install_whl dist/vision/torchvision-0.25.0a0+617079d-cp313-cp313-linux_x86_64.whl 2025-12-04T09:03:08.4507139Z + args=('dist/vision/torchvision-0.25.0a0+617079d-cp313-cp313-linux_x86_64.whl') 2025-12-04T09:03:08.4507453Z + local args 2025-12-04T09:03:08.4507747Z + [[ dist/vision/torchvision-0.25.0a0+617079d-cp313-cp313-linux_x86_64.whl == *\ * ]] 2025-12-04T09:03:08.4508080Z + for path in "${args[@]}" 2025-12-04T09:03:08.4508371Z + echo 'Installing dist/vision/torchvision-0.25.0a0+617079d-cp313-cp313-linux_x86_64.whl' 2025-12-04T09:03:08.4508780Z Installing dist/vision/torchvision-0.25.0a0+617079d-cp313-cp313-linux_x86_64.whl 2025-12-04T09:03:08.4509242Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.25.0a0+617079d-cp313-cp313-linux_x86_64.whl 2025-12-04T09:03:08.7195006Z Processing ./dist/vision/torchvision-0.25.0a0+617079d-cp313-cp313-linux_x86_64.whl 2025-12-04T09:03:08.7254769Z Installing collected packages: torchvision 2025-12-04T09:03:09.0918366Z Successfully installed torchvision-0.25.0a0+617079d 2025-12-04T09:03:09.1352541Z + '[' -n '' ']' 2025-12-04T09:03:09.1352855Z + test_dynamo_wrapped_shard 1 2025-12-04T09:03:09.1353114Z + [[ -z 3 ]] 2025-12-04T09:03:09.1353323Z + python tools/dynamo/verify_dynamo.py 2025-12-04T09:03:09.9706367Z Python version: 3.13.10 2025-12-04T09:03:09.9706699Z `torch` version: 2.10.0a0+gitffd9b0f 2025-12-04T09:03:09.9706979Z CUDA version: None 2025-12-04T09:03:09.9707178Z ROCM version: None 2025-12-04T09:03:09.9707281Z 2025-12-04T09:03:11.4255269Z CUDA not available -- skipping CUDA check on eager backend 2025-12-04T09:03:11.4258942Z 2025-12-04T09:03:12.0297785Z CUDA not available -- skipping CUDA check on aot_eager backend 2025-12-04T09:03:12.0298177Z 2025-12-04T09:03:26.7926426Z CUDA not available -- skipping CUDA check on inductor backend 2025-12-04T09:03:26.7926662Z 2025-12-04T09:03:26.7926746Z All required checks passed 2025-12-04T09:03:27.3964341Z + python test/run_test.py --dynamo --exclude-inductor-tests --exclude-jit-executor --exclude-distributed-tests --exclude-torch-export-tests --exclude-aot-dispatch-tests --exclude-quantization-tests --shard 1 3 --verbose --upload-artifacts-while-running 2025-12-04T09:03:29.4145269Z No TD results found 2025-12-04T09:03:29.4150927Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T09:03:29.4771535Z Ignoring disabled issues: [''] 2025-12-04T09:03:29.4875289Z ##[warning] Gathered no stats from artifacts for dynamo-test (3.13) build env and dynamo_wrapped test config. Using default job name and dynamo_wrapped test config instead. 2025-12-04T09:03:29.5139471Z ##[warning] Gathered no stats from artifacts for dynamo-test (3.13) build env and dynamo_wrapped test config. Using default job name and dynamo_wrapped test config instead. 2025-12-04T09:03:29.5144072Z Running all tests 2025-12-04T09:03:29.5251519Z Running parallel tests on 3 processes 2025-12-04T09:03:29.5254771Z Name: tests to run (est. time: 96.85min) 2025-12-04T09:03:29.5255157Z Serial tests (28): 2025-12-04T09:03:29.5255449Z distributions/test_distributions 1/3 2025-12-04T09:03:29.5255773Z distributions/test_distributions 3/3 2025-12-04T09:03:29.5256031Z doctests 1/1 2025-12-04T09:03:29.5256218Z nn/test_pooling 1/1 2025-12-04T09:03:29.5256413Z test_autocast 1/1 2025-12-04T09:03:29.5256666Z test_autograd_fallback 1/1 2025-12-04T09:03:29.5256927Z test_autoload_disable 1/1 2025-12-04T09:03:29.5257171Z test_ci_sanity_check_fail 1/1 2025-12-04T09:03:29.5257388Z test_cpp_api_parity 1/1 2025-12-04T09:03:29.5257575Z test_cuda_primary_ctx 1/1 2025-12-04T09:03:29.5257758Z test_jit_disabled 1/1 2025-12-04T09:03:29.5257934Z test_mobile_optimizer 1/1 2025-12-04T09:03:29.5258113Z test_multiprocessing 1/1 2025-12-04T09:03:29.5258306Z test_multiprocessing_spawn 1/1 2025-12-04T09:03:29.5258491Z test_nn 1/3 2025-12-04T09:03:29.5258647Z test_nn 3/3 2025-12-04T09:03:29.5258807Z test_overrides 1/1 2025-12-04T09:03:29.5258984Z test_privateuseone_python_backend 1/1 2025-12-04T09:03:29.5259260Z test_python_dispatch 1/1 2025-12-04T09:03:29.5259487Z test_reductions 1/2 2025-12-04T09:03:29.5259685Z test_reductions 2/2 2025-12-04T09:03:29.5259862Z test_show_pickle 1/1 2025-12-04T09:03:29.5260039Z test_sort_and_select 1/1 2025-12-04T09:03:29.5260215Z test_spectral_ops 1/1 2025-12-04T09:03:29.5260398Z test_tensor_creation_ops 1/1 2025-12-04T09:03:29.5260580Z test_tensorexpr 1/1 2025-12-04T09:03:29.5260732Z test_torch 1/1 2025-12-04T09:03:29.5260890Z test_utils 1/1 2025-12-04T09:03:29.5261049Z Parallel tests (49): 2025-12-04T09:03:29.5261318Z cpp_extensions/python_agnostic_extension/test/test_python_agnostic 1/1 2025-12-04T09:03:29.5261598Z dynamo/cpython/3_13/test_cmath 1/1 2025-12-04T09:03:29.5261815Z dynamo/cpython/3_13/test_contextlib 1/1 2025-12-04T09:03:29.5262058Z dynamo/cpython/3_13/test_exception_variations 1/1 2025-12-04T09:03:29.5262295Z dynamo/cpython/3_13/test_generator_stop 1/1 2025-12-04T09:03:29.5262507Z dynamo/cpython/3_13/test_int 1/1 2025-12-04T09:03:29.5262709Z dynamo/cpython/3_13/test_itertools 1/1 2025-12-04T09:03:29.5262912Z dynamo/cpython/3_13/test_numeric_tower 1/1 2025-12-04T09:03:29.5263121Z dynamo/cpython/3_13/test_raise 1/1 2025-12-04T09:03:29.5263326Z dynamo/cpython/3_13/test_sort 1/1 2025-12-04T09:03:29.5263551Z dynamo/cpython/3_13/test_unittest/test_assertions 1/1 2025-12-04T09:03:29.5263776Z dynamo/cpython/3_13/test_with 1/1 2025-12-04T09:03:29.5263969Z dynamo/test_aot_autograd 1/1 2025-12-04T09:03:29.5264161Z dynamo/test_autograd_function 1/1 2025-12-04T09:03:29.5264352Z dynamo/test_base_hop 1/1 2025-12-04T09:03:29.5264559Z dynamo/test_bytecode_utils 1/1 2025-12-04T09:03:29.5264907Z dynamo/test_compiler_bisector 1/1 2025-12-04T09:03:29.5265133Z dynamo/test_ctx_manager 1/1 2025-12-04T09:03:29.5265606Z dynamo/test_debug_utils 1/1 2025-12-04T09:03:29.5265820Z dynamo/test_deviceguard 1/1 2025-12-04T09:03:29.5266013Z dynamo/test_einops 1/1 2025-12-04T09:03:29.5266199Z dynamo/test_exceptions 1/1 2025-12-04T09:03:29.5266386Z dynamo/test_flat_apply 1/1 2025-12-04T09:03:29.5266562Z dynamo/test_fx_annotate 1/1 2025-12-04T09:03:29.5266749Z dynamo/test_generator 1/1 2025-12-04T09:03:29.5267049Z dynamo/test_graph_region_tracker 1/1 2025-12-04T09:03:29.5267255Z dynamo/test_higher_order_ops 1/1 2025-12-04T09:03:29.5267451Z dynamo/test_input_attr_tracking 1/1 2025-12-04T09:03:29.5267647Z dynamo/test_list 1/1 2025-12-04T09:03:29.5267821Z dynamo/test_minifier 1/1 2025-12-04T09:03:29.5267993Z dynamo/test_modes 1/1 2025-12-04T09:03:29.5268163Z dynamo/test_nops 1/1 2025-12-04T09:03:29.5268339Z dynamo/test_pgo 1/1 2025-12-04T09:03:29.5268499Z dynamo/test_profiler 1/1 2025-12-04T09:03:29.5268680Z dynamo/test_recompile_ux 1/1 2025-12-04T09:03:29.5268874Z dynamo/test_regional_inductor 1/1 2025-12-04T09:03:29.5269059Z dynamo/test_resume 1/1 2025-12-04T09:03:29.5269246Z dynamo/test_skip_guard_eval_unsafe 1/1 2025-12-04T09:03:29.5269446Z dynamo/test_streams 1/1 2025-12-04T09:03:29.5269616Z dynamo/test_subgraphs 1/1 2025-12-04T09:03:29.5269790Z dynamo/test_unittest 1/1 2025-12-04T09:03:29.5269972Z dynamo/test_verify_correctness 1/1 2025-12-04T09:03:29.5270167Z functorch/test_ac 1/1 2025-12-04T09:03:29.5270329Z optim/test_optim 1/1 2025-12-04T09:03:29.5270508Z test_appending_byte_serializer 1/1 2025-12-04T09:03:29.5270704Z test_cuda_sanitizer 1/1 2025-12-04T09:03:29.5270875Z test_opaque_obj_v2 1/1 2025-12-04T09:03:29.5271049Z test_unary_ufuncs 2/2 2025-12-04T09:03:29.5271223Z xpu/test_conv 1/1 2025-12-04T09:03:29.5271392Z Name: excluded (est. time: 0.0min) 2025-12-04T09:03:29.5271581Z Serial tests (0): 2025-12-04T09:03:29.5271745Z Parallel tests (0): 2025-12-04T09:03:29.5272022Z Running distributions/test_distributions 1/3 ... [2025-12-04 09:03:29.525373][549.94243396] 2025-12-04T09:03:29.5272343Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:03:29.5272983Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'distributions/test_distributions.py', '--shard-id=1', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:03:29.525703] 2025-12-04T09:06:55.1995684Z 2025-12-04T09:06:55.1996664Z distributions/test_distributions 1/3 was successful, full logs can be found in artifacts with path test/test-reports/distributions.test_distributions_1.3_6d7a7d9269884673_.log 2025-12-04T09:06:55.2013578Z Running 71 items in this shard: test/distributions/test_distributions.py::TestDistributions::test_argmax_relaxed_categorical, 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_sample, test/distributions/test_distributions.py::TestDistributions::test_categorical_2d, 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_exponential_sample, test/distributions/test_distributions.py::TestDistributions::test_fishersnedecor_sample, test/distributions/test_distributions.py::TestDistributions::test_generalized_pareto_sample, test/distributions/test_distributions.py::TestDistributions::test_geometric_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_has_examples, test/distributions/test_distributions.py::TestDistributions::test_independent_expand, test/distributions/test_distributions.py::TestDistributions::test_invalid_parameter_broadcasting, test/distributions/test_distributions.py::TestDistributions::test_kumaraswamy_shape, test/distributions/test_distributions.py::TestDistributions::test_lkj_cholesky_log_prob, test/distributions/test_distributions.py::TestDistributions::test_logisticnormal_logprob, test/distributions/test_distributions.py::TestDistributions::test_lognormal_sample, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_properties, test/distributions/test_distributions.py::TestDistributions::test_mixture_same_family_binomial_log_prob, test/distributions/test_distributions.py::TestDistributions::test_mixture_same_family_sample, test/distributions/test_distributions.py::TestDistributions::test_multinomial_1d_log_prob_and_entropy, test/distributions/test_distributions.py::TestDistributions::test_multinomial_sequential_draw, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_moments, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_shape, test/distributions/test_distributions.py::TestDistributions::test_negative_binomial_log_prob, test/distributions/test_distributions.py::TestDistributions::test_one_hot_categorical_2d, test/distributions/test_distributions.py::TestDistributions::test_poisson_forward_ad, 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_2d, test/distributions/test_distributions.py::TestDistributions::test_sample_detached, test/distributions/test_distributions.py::TestDistributions::test_studentT, test/distributions/test_distributions.py::TestDistributions::test_torch_binomial_dtype_errors, 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_shape, test/distributions/test_distributions.py::TestDistributions::test_wishart_stable_with_precision_matrix, test/distributions/test_distributions.py::TestRsample::test_gamma, test/distributions/test_distributions.py::TestDistributionShapes::test_bernoulli_shape_tensor_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_continuous_bernoulli_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_dirichlet_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_gamma_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_geometric_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_laplace_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_mixture_same_family_shape, 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_studentT_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_tensor_params, test/distributions/test_distributions.py::TestKL::test_entropy_exponential_family, test/distributions/test_distributions.py::TestKL::test_kl_infinite, test/distributions/test_distributions.py::TestKL::test_kl_lowrank_multivariate_normal_batched, test/distributions/test_distributions.py::TestKL::test_kl_multivariate_normal, test/distributions/test_distributions.py::TestNumericalStability::test_bernoulli_with_logits_overflow, 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::TestAgainstScipy::test_icdf, test/distributions/test_distributions.py::TestAgainstScipy::test_variance_stddev, test/distributions/test_distributions.py::TestFunctors::test_cat_transform, test/distributions/test_distributions.py::TestValidation::test_invalid, test/distributions/test_distributions.py::TestJit::test_mean, test/distributions/test_distributions.py::TestJit::test_rsample, test/distributions/test_distributions.py::TestJit::test_variance 2025-12-04T09:06:55.2030889Z 2025-12-04T09:06:55.2031130Z Finished distributions/test_distributions 1/3 ... [2025-12-04 09:06:55.199203][755.616258935], took 3.43min 2025-12-04T09:06:55.2031946Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/distributions.test_distributions/distributions.test_distributions-a6f7d5398d32e76b.xml 2025-12-04T09:06:55.5677395Z Uploading artifacts took 0.16 seconds 2025-12-04T09:06:55.5677917Z Running distributions/test_distributions 3/3 ... [2025-12-04 09:06:55.567025][755.984082516] 2025-12-04T09:06:55.5678367Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:06:55.5679130Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'distributions/test_distributions.py', '--shard-id=3', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:06:55.567446] 2025-12-04T09:09:01.0923929Z 2025-12-04T09:09:01.0924867Z distributions/test_distributions 3/3 was successful, full logs can be found in artifacts with path test/test-reports/distributions.test_distributions_3.3_85942567471d6983_.log 2025-12-04T09:09:01.0943198Z Running 81 items in this shard: test/distributions/test_distributions.py::TestDistributions::test_bernoulli, test/distributions/test_distributions.py::TestDistributions::test_bernoulli_enumerate_support, test/distributions/test_distributions.py::TestDistributions::test_beta_underflow, test/distributions/test_distributions.py::TestDistributions::test_binomial, 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_vectorized_count, 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_shape, test/distributions/test_distributions.py::TestDistributions::test_dirichlet_log_prob, 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_enumerate_support_type, test/distributions/test_distributions.py::TestDistributions::test_fishersnedecor, 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_shape, test/distributions/test_distributions.py::TestDistributions::test_generalized_pareto, test/distributions/test_distributions.py::TestDistributions::test_geometric_log_prob_and_entropy, test/distributions/test_distributions.py::TestDistributions::test_gumbel, test/distributions/test_distributions.py::TestDistributions::test_gumbel_sample, test/distributions/test_distributions.py::TestDistributions::test_halfnormal_sample, test/distributions/test_distributions.py::TestDistributions::test_independent_shape, test/distributions/test_distributions.py::TestDistributions::test_inversegamma, test/distributions/test_distributions.py::TestDistributions::test_kumaraswamy_mean_variance, 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_lognormal, test/distributions/test_distributions.py::TestDistributions::test_lognormal_logprob, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_moments, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_shape, test/distributions/test_distributions.py::TestDistributions::test_mixture_same_family_normal_log_prob, 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_2d, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_log_prob, 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_negative_binomial, test/distributions/test_distributions.py::TestDistributions::test_negative_binomial_log_prob_vectorized_count, test/distributions/test_distributions.py::TestDistributions::test_one_hot_categorical_1d, test/distributions/test_distributions.py::TestDistributions::test_pareto_sample, test/distributions/test_distributions.py::TestDistributions::test_poisson_sample, test/distributions/test_distributions.py::TestDistributions::test_relaxed_one_hot_categorical_1d, test/distributions/test_distributions.py::TestDistributions::test_rounded_relaxed_bernoulli, test/distributions/test_distributions.py::TestDistributions::test_studentT_log_prob, test/distributions/test_distributions.py::TestDistributions::test_uniform, test/distributions/test_distributions.py::TestDistributions::test_vonmises_sample, test/distributions/test_distributions.py::TestDistributions::test_wishart_properties, test/distributions/test_distributions.py::TestRsample::test_beta_wrt_beta, test/distributions/test_distributions.py::TestDistributionShapes::test_bernoulli_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_binomial_shape_vectorized_n, test/distributions/test_distributions.py::TestDistributionShapes::test_cauchy_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_chi2_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_continuous_bernoulli_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_exponential_shape_scalar_param, test/distributions/test_distributions.py::TestDistributionShapes::test_gamma_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_geometric_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_kumaraswamy_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_pareto_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_wishart_shape_scalar_params, test/distributions/test_distributions.py::TestKL::test_kl_edgecases, test/distributions/test_distributions.py::TestKL::test_kl_multivariate_normal_batched, 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_support_constraints, test/distributions/test_distributions.py::TestNumericalStability::test_bernoulli_with_logits_underflow, 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::TestLazyLogitsInitialization::test_lazy_probs_initialization, test/distributions/test_distributions.py::TestAgainstScipy::test_cdf, test/distributions/test_distributions.py::TestAgainstScipy::test_mean, test/distributions/test_distributions.py::TestFunctors::test_cat_transform_non_uniform, test/distributions/test_distributions.py::TestValidation::test_warning_unimplemented_constraints 2025-12-04T09:09:01.0959805Z 2025-12-04T09:09:01.0960038Z Finished distributions/test_distributions 3/3 ... [2025-12-04 09:09:01.091726][881.508785545], took 2.09min 2025-12-04T09:09:01.0960834Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/distributions.test_distributions/distributions.test_distributions-8e051d0eb6fded4d.xml 2025-12-04T09:09:01.1675879Z Running doctests 1/1 ... [2025-12-04 09:09:01.167026][881.58408565] 2025-12-04T09:09:01.6331528Z msg = Cannot scrape callname=Library.fallback in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py line=368. 2025-12-04T09:09:01.6336423Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:09:01.6337555Z Registers the function implementation as the fallback for the given key. 2025-12-04T09:09:01.6337871Z 2025-12-04T09:09:01.6338119Z This function only works for a library with global namespace ("_"). 2025-12-04T09:09:01.6338442Z 2025-12-04T09:09:01.6338523Z Args: 2025-12-04T09:09:01.6338911Z fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel` 2025-12-04T09:09:01.6339264Z to register a fallthrough. 2025-12-04T09:09:01.6339608Z dispatch_key: dispatch key that the input function should be registered for. By default, it uses 2025-12-04T09:09:01.6340000Z the dispatch key that the library was created with. 2025-12-04T09:09:01.6340401Z with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument 2025-12-04T09:09:01.6341046Z to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls. 2025-12-04T09:09:01.6341451Z 2025-12-04T09:09:01.6341597Z Example:: 2025-12-04T09:09:01.6341744Z 2025-12-04T09:09:01.6341859Z >>> my_lib = Library("_", "IMPL") 2025-12-04T09:09:01.6342194Z >>> def fallback_kernel(op, *args, **kwargs): 2025-12-04T09:09:01.6342545Z >>> # Handle all autocast ops generically 2025-12-04T09:09:01.6342859Z >>> # ... 2025-12-04T09:09:01.6343161Z >>> my_lib.fallback(fallback_kernel, "Autocast") 2025-12-04T09:09:01.6343489Z 2025-12-04T09:09:01.6344013Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 5, 1, 'my_lib.fallback(fallback_kernel, "Autocast")\n', 5, 7)) 2025-12-04T09:09:01.6344420Z 2025-12-04T09:09:01.6344520Z my_lib.fallback(fallback_kernel, "Autocast") 2025-12-04T09:09:01.6344904Z ^ 2025-12-04T09:09:01.6415685Z msg = Cannot scrape callname=register_fake in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py line=958. 2025-12-04T09:09:01.6416784Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:09:01.6417139Z Register a FakeTensor implementation ("fake impl") for this operator. 2025-12-04T09:09:01.6417334Z 2025-12-04T09:09:01.6417458Z Also sometimes known as a "meta kernel", "abstract impl". 2025-12-04T09:09:01.6417623Z 2025-12-04T09:09:01.6417805Z An "FakeTensor implementation" specifies the behavior of this operator on 2025-12-04T09:09:01.6418227Z Tensors that carry no data ("FakeTensor"). Given some input Tensors with 2025-12-04T09:09:01.6418556Z certain properties (sizes/strides/storage_offset/device), it specifies 2025-12-04T09:09:01.6418850Z what the properties of the output Tensors are. 2025-12-04T09:09:01.6418999Z 2025-12-04T09:09:01.6419142Z The FakeTensor implementation has the same signature as the operator. 2025-12-04T09:09:01.6419449Z It is run for both FakeTensors and meta tensors. To write a FakeTensor 2025-12-04T09:09:01.6419757Z implementation, assume that all Tensor inputs to the operator are 2025-12-04T09:09:01.6420071Z regular CPU/CUDA/Meta tensors, but they do not have storage, and 2025-12-04T09:09:01.6420365Z you are trying to return regular CPU/CUDA/Meta tensor(s) as output. 2025-12-04T09:09:01.6420677Z The FakeTensor implementation must consist of only PyTorch operations 2025-12-04T09:09:01.6421061Z (and may not directly access the storage or data of any input or 2025-12-04T09:09:01.6421329Z intermediate Tensors). 2025-12-04T09:09:01.6421440Z 2025-12-04T09:09:01.6421539Z This API may be used as a decorator (see examples). 2025-12-04T09:09:01.6421694Z 2025-12-04T09:09:01.6421784Z For a detailed guide on custom ops, please see 2025-12-04T09:09:01.6422084Z https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html 2025-12-04T09:09:01.6422271Z 2025-12-04T09:09:01.6422337Z Args: 2025-12-04T09:09:01.6422544Z op_name: Operator name (along with the overload) or OpOverload object. 2025-12-04T09:09:01.6422802Z func: Fake tensor implementation. 2025-12-04T09:09:01.6423051Z lib (Optional[Library]): Library to register the fake tensor to. 2025-12-04T09:09:01.6423332Z allow_override: Flag controlling if we want to override an 2025-12-04T09:09:01.6423605Z existing registered fake impl. This is by default off, 2025-12-04T09:09:01.6423877Z and will error you're trying to register a fake impl to 2025-12-04T09:09:01.6424148Z an operator that already has a fake impl. This also only 2025-12-04T09:09:01.6424411Z applies if the custom operator was not created via 2025-12-04T09:09:01.6424792Z torch.library.custom_op, as overriding and existing fake 2025-12-04T09:09:01.6425083Z impl is already allowed. 2025-12-04T09:09:01.6425233Z 2025-12-04T09:09:01.6425303Z Examples: 2025-12-04T09:09:01.6425483Z >>> import torch 2025-12-04T09:09:01.6425687Z >>> import numpy as np 2025-12-04T09:09:01.6425894Z >>> from torch import Tensor 2025-12-04T09:09:01.6426103Z >>> 2025-12-04T09:09:01.6426338Z >>> # Example 1: an operator without data-dependent output shape 2025-12-04T09:09:01.6426708Z >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=()) 2025-12-04T09:09:01.6427080Z >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-12-04T09:09:01.6427431Z >>> raise NotImplementedError("Implementation goes here") 2025-12-04T09:09:01.6427690Z >>> 2025-12-04T09:09:01.6427900Z >>> @torch.library.register_fake("mylib::custom_linear") 2025-12-04T09:09:01.6428165Z >>> def _(x, weight, bias): 2025-12-04T09:09:01.6428387Z >>> assert x.dim() == 2 2025-12-04T09:09:01.6428603Z >>> assert weight.dim() == 2 2025-12-04T09:09:01.6428834Z >>> assert bias.dim() == 1 2025-12-04T09:09:01.6429075Z >>> assert x.shape[1] == weight.shape[1] 2025-12-04T09:09:01.6429653Z >>> assert weight.shape[0] == bias.shape[0] 2025-12-04T09:09:01.6430116Z >>> assert x.device == weight.device 2025-12-04T09:09:01.6430397Z >>> 2025-12-04T09:09:01.6430585Z >>> return (x @ weight.t()) + bias 2025-12-04T09:09:01.6430801Z >>> 2025-12-04T09:09:01.6431024Z >>> with torch._subclasses.fake_tensor.FakeTensorMode(): 2025-12-04T09:09:01.6431366Z >>> x = torch.randn(2, 3) 2025-12-04T09:09:01.6431581Z >>> w = torch.randn(3, 3) 2025-12-04T09:09:01.6431768Z >>> b = torch.randn(3) 2025-12-04T09:09:01.6431980Z >>> y = torch.ops.mylib.custom_linear(x, w, b) 2025-12-04T09:09:01.6432175Z >>> 2025-12-04T09:09:01.6432326Z >>> assert y.shape == (2, 3) 2025-12-04T09:09:01.6432508Z >>> 2025-12-04T09:09:01.6432700Z >>> # Example 2: an operator with data-dependent output shape 2025-12-04T09:09:01.6432987Z >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=()) 2025-12-04T09:09:01.6433264Z >>> def custom_nonzero(x: Tensor) -> Tensor: 2025-12-04T09:09:01.6433479Z >>> x_np = x.numpy(force=True) 2025-12-04T09:09:01.6433690Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-12-04T09:09:01.6433920Z >>> return torch.tensor(res, device=x.device) 2025-12-04T09:09:01.6434118Z >>> 2025-12-04T09:09:01.6434300Z >>> @torch.library.register_fake("mylib::custom_nonzero") 2025-12-04T09:09:01.6434528Z >>> def _(x): 2025-12-04T09:09:01.6434719Z >>> # Number of nonzero-elements is data-dependent. 2025-12-04T09:09:01.6434972Z >>> # Since we cannot peek at the data in an fake impl, 2025-12-04T09:09:01.6435217Z >>> # we use the ctx object to construct a new symint that 2025-12-04T09:09:01.6435451Z >>> # represents the data-dependent size. 2025-12-04T09:09:01.6435666Z >>> ctx = torch.library.get_ctx() 2025-12-04T09:09:01.6435868Z >>> nnz = ctx.new_dynamic_size() 2025-12-04T09:09:01.6436072Z >>> shape = [nnz, x.dim()] 2025-12-04T09:09:01.6436298Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-12-04T09:09:01.6436511Z >>> return result 2025-12-04T09:09:01.6436681Z >>> 2025-12-04T09:09:01.6436872Z >>> from torch.fx.experimental.proxy_tensor import make_fx 2025-12-04T09:09:01.6437093Z >>> 2025-12-04T09:09:01.6437244Z >>> x = torch.tensor([0, 1, 2, 3, 4, 0]) 2025-12-04T09:09:01.6437520Z >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x) 2025-12-04T09:09:01.6437793Z >>> trace.print_readable() 2025-12-04T09:09:01.6437963Z >>> 2025-12-04T09:09:01.6438176Z >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x)) 2025-12-04T09:09:01.6438373Z 2025-12-04T09:09:01.6438440Z 2025-12-04T09:09:01.6438791Z Original Error: IndentationError('expected an indented block after function definition on line 37', ('', 38, 1, '_._ = None\n', 38, 2)) 2025-12-04T09:09:01.6439132Z 2025-12-04T09:09:01.6439188Z _._ = None 2025-12-04T09:09:01.6439326Z ^ 2025-12-04T09:09:01.6503107Z msg = Cannot scrape callname=get_kernel in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py line=1530. 2025-12-04T09:09:01.6503747Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:09:01.6504084Z Returns the computed kernel for a given operator and dispatch key. 2025-12-04T09:09:01.6504273Z 2025-12-04T09:09:01.6504411Z This function retrieves the kernel that would be executed for a given 2025-12-04T09:09:01.6504858Z operator and dispatch key combination. The returned SafeKernelFunction 2025-12-04T09:09:01.6505221Z can be used to call the kernel in a boxed fashion. The intended use 2025-12-04T09:09:01.6505572Z case for this function is to retrieve the original kernel for a given 2025-12-04T09:09:01.6505934Z dispatch key and then register another kernel to the same dispatch key 2025-12-04T09:09:01.6506382Z that calls into the original kernel for certain cases. 2025-12-04T09:09:01.6506581Z 2025-12-04T09:09:01.6506648Z Args: 2025-12-04T09:09:01.6506879Z op: Operator name (along with the overload) or OpOverload object 2025-12-04T09:09:01.6507251Z Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef. 2025-12-04T09:09:01.6507647Z dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for. 2025-12-04T09:09:01.6507985Z Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value. 2025-12-04T09:09:01.6508157Z 2025-12-04T09:09:01.6508221Z Returns: 2025-12-04T09:09:01.6508458Z torch._C._SafeKernelFunction: A safe kernel function that can be used to 2025-12-04T09:09:01.6508728Z call the kernel. 2025-12-04T09:09:01.6508842Z 2025-12-04T09:09:01.6508907Z Raises: 2025-12-04T09:09:01.6509078Z RuntimeError: If the operator does not exist. 2025-12-04T09:09:01.6509231Z 2025-12-04T09:09:01.6509296Z Example: 2025-12-04T09:09:01.6509466Z >>> # Get the CPU kernel for torch.add 2025-12-04T09:09:01.6509717Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU") 2025-12-04T09:09:01.6509952Z >>> 2025-12-04T09:09:01.6510113Z >>> # You can also use DispatchKey enum 2025-12-04T09:09:01.6510399Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU) 2025-12-04T09:09:01.6510659Z >>> 2025-12-04T09:09:01.6510816Z >>> # Or use an OpOverload directly 2025-12-04T09:09:01.6511081Z >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU") 2025-12-04T09:09:01.6511324Z >>> 2025-12-04T09:09:01.6511534Z >>> # Example: Using get_kernel in a custom op with conditional dispatch 2025-12-04T09:09:01.6511806Z >>> # Get the original kernel for torch.sin 2025-12-04T09:09:01.6512071Z >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU") 2025-12-04T09:09:01.6527427Z >>> 2025-12-04T09:09:01.6527723Z >>> # If input has negative values, use original sin, otherwise return zeros 2025-12-04T09:09:01.6528041Z >>> def conditional_sin_impl(dispatch_keys, x): 2025-12-04T09:09:01.6528280Z >>> if (x < 0).any(): 2025-12-04T09:09:01.6528523Z >>> return original_sin_kernel.call_boxed(dispatch_keys, x) 2025-12-04T09:09:01.6528783Z >>> else: 2025-12-04T09:09:01.6528975Z >>> return torch.zeros_like(x) 2025-12-04T09:09:01.6529186Z >>> 2025-12-04T09:09:01.6529620Z >>> lib = torch.library.Library("aten", "IMPL") 2025-12-04T09:09:01.6529959Z >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet 2025-12-04T09:09:01.6530308Z >>> which needs to be the first argument to ``kernel.call_boxed`` 2025-12-04T09:09:01.6530618Z >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True) 2025-12-04T09:09:01.6530869Z >>> 2025-12-04T09:09:01.6531042Z >>> # Test the conditional behavior 2025-12-04T09:09:01.6531267Z >>> x_positive = torch.tensor([1.0, 2.0]) 2025-12-04T09:09:01.6531501Z >>> x_mixed = torch.tensor([-1.0, 2.0]) 2025-12-04T09:09:01.6531720Z >>> torch.sin(x_positive) 2025-12-04T09:09:01.6531924Z tensor([0., 0.]) 2025-12-04T09:09:01.6532108Z >>> torch.sin(x_mixed) 2025-12-04T09:09:01.6532316Z tensor([-0.8415, 0.9093]) 2025-12-04T09:09:01.6532510Z 2025-12-04T09:09:01.6532887Z Original Error: SyntaxError('invalid syntax', ('', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n', 23, 12)) 2025-12-04T09:09:01.6533230Z 2025-12-04T09:09:01.6533350Z which needs to be the first argument to ``kernel.call_boxed`` 2025-12-04T09:09:01.6533588Z ^ 2025-12-04T09:09:01.7695670Z msg = Cannot scrape callname=is_available in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/accelerator/__init__.py line=70. 2025-12-04T09:09:01.7697111Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:09:01.7697818Z Check if the current accelerator is available at runtime: it was build, all the 2025-12-04T09:09:01.7698471Z required drivers are available and at least one device is visible. 2025-12-04T09:09:01.7699029Z See :ref:`accelerator` for details. 2025-12-04T09:09:01.7699466Z 2025-12-04T09:09:01.7699569Z Returns: 2025-12-04T09:09:01.7700006Z bool: A boolean indicating if there is an available :ref:`accelerator`. 2025-12-04T09:09:01.7700385Z 2025-12-04T09:09:01.7700691Z .. note:: This API delegates to the device-specific version of `is_available`. 2025-12-04T09:09:01.7701297Z On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set, 2025-12-04T09:09:01.7701906Z this function will NOT poison fork. Otherwise, it will. For more details, see 2025-12-04T09:09:01.7702427Z :ref:`multiprocessing-poison-fork-note`. 2025-12-04T09:09:01.7702688Z 2025-12-04T09:09:01.7702797Z Example:: 2025-12-04T09:09:01.7702937Z 2025-12-04T09:09:01.7703209Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:09:01.7703673Z 2025-12-04T09:09:01.7704346Z Original Error: SyntaxError('invalid syntax', ('', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78)) 2025-12-04T09:09:01.7705141Z 2025-12-04T09:09:01.7705471Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:09:01.7706012Z ^ 2025-12-04T09:09:01.7718169Z msg = Cannot scrape callname=synchronize in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/accelerator/__init__.py line=239. 2025-12-04T09:09:01.7719051Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:09:01.7720933Z Wait for all kernels in all streams on the given device to complete. 2025-12-04T09:09:01.7721211Z 2025-12-04T09:09:01.7721298Z Args: 2025-12-04T09:09:01.7721645Z device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match 2025-12-04T09:09:01.7722068Z the current :ref:`accelerator` device type. If not given, 2025-12-04T09:09:01.7722436Z use :func:`torch.accelerator.current_device_index` by default. 2025-12-04T09:09:01.7722644Z 2025-12-04T09:09:01.7722899Z .. note:: This function is a no-op if the current :ref:`accelerator` is not initialized. 2025-12-04T09:09:01.7723149Z 2025-12-04T09:09:01.7723227Z Example:: 2025-12-04T09:09:01.7723333Z 2025-12-04T09:09:01.7723457Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-12-04T09:09:01.7723831Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:09:01.7724176Z >>> start_event = torch.Event(enable_timing=True) 2025-12-04T09:09:01.7724433Z >>> end_event = torch.Event(enable_timing=True) 2025-12-04T09:09:01.7724674Z >>> start_event.record() 2025-12-04T09:09:01.7724974Z >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator()) 2025-12-04T09:09:01.7725257Z >>> sum = torch.sum(tensor) 2025-12-04T09:09:01.7725463Z >>> end_event.record() 2025-12-04T09:09:01.7725684Z >>> torch.accelerator.synchronize() 2025-12-04T09:09:01.7725929Z >>> elapsed_time_ms = start_event.elapsed_time(end_event) 2025-12-04T09:09:01.7726151Z 2025-12-04T09:09:01.7726530Z Original Error: SyntaxError('invalid syntax', ('', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78)) 2025-12-04T09:09:01.7726879Z 2025-12-04T09:09:01.7727039Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:09:01.7727314Z ^ 2025-12-04T09:09:01.7910538Z msg = Cannot scrape callname=cudart in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/__init__.py line=448. 2025-12-04T09:09:01.7911125Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:09:01.7911467Z Retrieves the CUDA runtime API module. 2025-12-04T09:09:01.7911620Z 2025-12-04T09:09:01.7911624Z 2025-12-04T09:09:01.7911800Z This function initializes the CUDA runtime environment if it is not already 2025-12-04T09:09:01.7912243Z initialized and returns the CUDA runtime API module (_cudart). The CUDA 2025-12-04T09:09:01.7912568Z runtime API module provides access to various CUDA runtime functions. 2025-12-04T09:09:01.7912755Z 2025-12-04T09:09:01.7912825Z Args: 2025-12-04T09:09:01.7912966Z ``None`` 2025-12-04T09:09:01.7913068Z 2025-12-04T09:09:01.7913129Z Returns: 2025-12-04T09:09:01.7913313Z module: The CUDA runtime API module (_cudart). 2025-12-04T09:09:01.7913463Z 2025-12-04T09:09:01.7913521Z Raises: 2025-12-04T09:09:01.7913754Z RuntimeError: If CUDA cannot be re-initialized in a forked subprocess. 2025-12-04T09:09:01.7914154Z AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable. 2025-12-04T09:09:01.7914405Z 2025-12-04T09:09:01.7914502Z Example of CUDA operations with profiling: 2025-12-04T09:09:01.7914708Z >>> import torch 2025-12-04T09:09:01.7914910Z >>> from torch.cuda import cudart, check_error 2025-12-04T09:09:01.7915124Z >>> import os 2025-12-04T09:09:01.7915279Z >>> 2025-12-04T09:09:01.7915440Z >>> os.environ["CUDA_PROFILE"] = "1" 2025-12-04T09:09:01.7915634Z >>> 2025-12-04T09:09:01.7915799Z >>> def perform_cuda_operations_with_streams(): 2025-12-04T09:09:01.7916026Z >>> stream = torch.cuda.Stream() 2025-12-04T09:09:01.7916250Z >>> with torch.cuda.stream(stream): 2025-12-04T09:09:01.7916478Z >>> x = torch.randn(100, 100, device='cuda') 2025-12-04T09:09:01.7916695Z >>> y = torch.randn(100, 100, device='cuda') 2025-12-04T09:09:01.7916910Z >>> z = torch.mul(x, y) 2025-12-04T09:09:01.7917103Z >>> return z 2025-12-04T09:09:01.7917257Z >>> 2025-12-04T09:09:01.7917417Z >>> torch.cuda.synchronize() 2025-12-04T09:09:01.7917635Z >>> print("====== Start nsys profiling ======") 2025-12-04T09:09:01.7917862Z >>> check_error(cudart().cudaProfilerStart()) 2025-12-04T09:09:01.7918104Z >>> with torch.autograd.profiler.emit_nvtx(): 2025-12-04T09:09:01.7918350Z >>> result = perform_cuda_operations_with_streams() 2025-12-04T09:09:01.7918592Z >>> print("CUDA operations completed.") 2025-12-04T09:09:01.7918825Z >>> check_error(torch.cuda.cudart().cudaProfilerStop()) 2025-12-04T09:09:01.7919063Z >>> print("====== End nsys profiling ======") 2025-12-04T09:09:01.7919200Z 2025-12-04T09:09:01.7919331Z To run this example and save the profiling information, execute: 2025-12-04T09:09:01.7919723Z >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-12-04T09:09:01.7919984Z 2025-12-04T09:09:01.7920127Z This command profiles the CUDA operations in the provided script and saves 2025-12-04T09:09:01.7920443Z the profiling information to a file named `trace_name.prof`. 2025-12-04T09:09:01.7920780Z The `--profile-from-start off` option ensures that profiling starts only 2025-12-04T09:09:01.7921066Z after the `cudaProfilerStart` call in the script. 2025-12-04T09:09:01.7921368Z The `--csv` and `--print-summary` options format the profiling output as a 2025-12-04T09:09:01.7921645Z CSV file and print a summary, respectively. 2025-12-04T09:09:01.7921928Z The `-o` option specifies the output file name, and the `-f` option forces the 2025-12-04T09:09:01.7922225Z overwrite of the output file if it already exists. 2025-12-04T09:09:01.7922452Z 2025-12-04T09:09:01.7922940Z 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)) 2025-12-04T09:09:01.7923349Z 2025-12-04T09:09:01.7923544Z $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-12-04T09:09:01.7923854Z ^ 2025-12-04T09:09:02.3774384Z msg = Cannot scrape callname=vmap in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/apis.py line=39. 2025-12-04T09:09:02.3775847Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:09:02.3776240Z 2025-12-04T09:09:02.3776488Z vmap is the vectorizing map; ``vmap(func)`` returns a new function that 2025-12-04T09:09:02.3777058Z maps ``func`` over some dimension of the inputs. Semantically, vmap 2025-12-04T09:09:02.3777636Z pushes the map into PyTorch operations called by ``func``, effectively 2025-12-04T09:09:02.3778105Z vectorizing those operations. 2025-12-04T09:09:02.3778336Z 2025-12-04T09:09:02.3778567Z vmap is useful for handling batch dimensions: one can write a function 2025-12-04T09:09:02.3779125Z ``func`` that runs on examples and then lift it to a function that can 2025-12-04T09:09:02.3779681Z take batches of examples with ``vmap(func)``. vmap can also be used to 2025-12-04T09:09:02.3780192Z compute batched gradients when composed with autograd. 2025-12-04T09:09:02.3780502Z 2025-12-04T09:09:02.3780637Z .. note:: 2025-12-04T09:09:02.3781041Z :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for 2025-12-04T09:09:02.3781499Z convenience. Use whichever one you'd like. 2025-12-04T09:09:02.3781760Z 2025-12-04T09:09:02.3781849Z Args: 2025-12-04T09:09:02.3782223Z func (function): A Python function that takes one or more arguments. 2025-12-04T09:09:02.3782657Z Must return one or more Tensors. 2025-12-04T09:09:02.3783101Z in_dims (int or nested structure): Specifies which dimension of the 2025-12-04T09:09:02.3783610Z inputs should be mapped over. ``in_dims`` should have a 2025-12-04T09:09:02.3784099Z structure like the inputs. If the ``in_dim`` for a particular 2025-12-04T09:09:02.3784590Z input is None, then that indicates there is no map dimension. 2025-12-04T09:09:02.3785114Z Default: 0. 2025-12-04T09:09:02.3785522Z out_dims (int or Tuple[int]): Specifies where the mapped dimension 2025-12-04T09:09:02.3786120Z should appear in the outputs. If ``out_dims`` is a Tuple, then 2025-12-04T09:09:02.3786613Z it should have one element per output. Default: 0. 2025-12-04T09:09:02.3787060Z randomness (str): Specifies whether the randomness in this 2025-12-04T09:09:02.3787571Z vmap should be the same or different across batches. If 'different', 2025-12-04T09:09:02.3788106Z the randomness for each batch will be different. If 'same', the 2025-12-04T09:09:02.3788647Z randomness will be the same across batches. If 'error', any calls to 2025-12-04T09:09:02.3789179Z random functions will error. Default: 'error'. WARNING: this flag 2025-12-04T09:09:02.3789709Z only applies to random PyTorch operations and does not apply to 2025-12-04T09:09:02.3790152Z Python's random module or numpy randomness. 2025-12-04T09:09:02.3790609Z chunk_size (None or int): If None (default), apply a single vmap over inputs. 2025-12-04T09:09:02.3791161Z If not None, then compute the vmap :attr:`chunk_size` samples at a time. 2025-12-04T09:09:02.3791774Z Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop. 2025-12-04T09:09:02.3792423Z If you run into memory issues computing the vmap, please try a non-None chunk_size. 2025-12-04T09:09:02.3792810Z 2025-12-04T09:09:02.3792901Z Returns: 2025-12-04T09:09:02.3793238Z Returns a new "batched" function. It takes the same inputs as 2025-12-04T09:09:02.3793734Z ``func``, except each input has an extra dimension at the index 2025-12-04T09:09:02.3794510Z specified by ``in_dims``. It takes returns the same outputs as 2025-12-04T09:09:02.3795023Z ``func``, except each output has an extra dimension at the index 2025-12-04T09:09:02.3795449Z specified by ``out_dims``. 2025-12-04T09:09:02.3795647Z 2025-12-04T09:09:02.3795750Z .. warning: 2025-12-04T09:09:02.3796089Z :func:`vmap` works best with functional-style code. Please do not 2025-12-04T09:09:02.3796686Z perform any side-effects in ``func``, with the exception of 2025-12-04T09:09:02.3797240Z in-place PyTorch operations. Examples of side-effects include mutating 2025-12-04T09:09:02.3797817Z Python data structures and assigning values to variables not captured 2025-12-04T09:09:02.3798230Z in ``func``. 2025-12-04T09:09:02.3798381Z 2025-12-04T09:09:02.3798580Z One example of using :func:`vmap` is to compute batched dot products. PyTorch 2025-12-04T09:09:02.3799100Z doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully 2025-12-04T09:09:02.3799587Z rummaging through docs, use :func:`vmap` to construct a new function. 2025-12-04T09:09:02.3799907Z 2025-12-04T09:09:02.3800042Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:09:02.3800445Z >>> batched_dot = torch.func.vmap(torch.dot) # [N, D], [N, D] -> [N] 2025-12-04T09:09:02.3800878Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-12-04T09:09:02.3801206Z >>> batched_dot(x, y) 2025-12-04T09:09:02.3801387Z 2025-12-04T09:09:02.3801610Z :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler 2025-12-04T09:09:02.3802061Z model authoring experience. 2025-12-04T09:09:02.3802249Z 2025-12-04T09:09:02.3802361Z >>> batch_size, feature_size = 3, 5 2025-12-04T09:09:02.3802735Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-12-04T09:09:02.3803086Z >>> 2025-12-04T09:09:02.3803288Z >>> def model(feature_vec): 2025-12-04T09:09:02.3803589Z >>> # Very simple linear model with activation 2025-12-04T09:09:02.3803929Z >>> return feature_vec.dot(weights).relu() 2025-12-04T09:09:02.3804227Z >>> 2025-12-04T09:09:02.3804487Z >>> examples = torch.randn(batch_size, feature_size) 2025-12-04T09:09:02.3804867Z >>> result = torch.vmap(model)(examples) 2025-12-04T09:09:02.3805087Z 2025-12-04T09:09:02.3805341Z :func:`vmap` can also help vectorize computations that were previously difficult 2025-12-04T09:09:02.3805914Z or impossible to batch. One example is higher-order gradient computation. 2025-12-04T09:09:02.3806483Z The PyTorch autograd engine computes vjps (vector-Jacobian products). 2025-12-04T09:09:02.3807047Z Computing a full Jacobian matrix for some function f: R^N -> R^N usually 2025-12-04T09:09:02.3807608Z requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`, 2025-12-04T09:09:02.3808385Z we can vectorize the whole computation, computing the Jacobian in a single 2025-12-04T09:09:02.3808839Z call to ``autograd.grad``. 2025-12-04T09:09:02.3809022Z 2025-12-04T09:09:02.3809117Z >>> # Setup 2025-12-04T09:09:02.3809329Z >>> N = 5 2025-12-04T09:09:02.3809568Z >>> f = lambda x: x**2 2025-12-04T09:09:02.3809867Z >>> x = torch.randn(N, requires_grad=True) 2025-12-04T09:09:02.3810171Z >>> y = f(x) 2025-12-04T09:09:02.3810406Z >>> I_N = torch.eye(N) 2025-12-04T09:09:02.3810644Z >>> 2025-12-04T09:09:02.3810855Z >>> # Sequential approach 2025-12-04T09:09:02.3811279Z >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0] 2025-12-04T09:09:02.3811782Z >>> for v in I_N.unbind()] 2025-12-04T09:09:02.3812164Z >>> jacobian = torch.stack(jacobian_rows) 2025-12-04T09:09:02.3812516Z >>> 2025-12-04T09:09:02.3812779Z >>> # vectorized gradient computation 2025-12-04T09:09:02.3813117Z >>> def get_vjp(v): 2025-12-04T09:09:02.3813398Z >>> return torch.autograd.grad(y, x, v) 2025-12-04T09:09:02.3813795Z >>> jacobian = torch.vmap(get_vjp)(I_N) 2025-12-04T09:09:02.3814045Z 2025-12-04T09:09:02.3814547Z :func:`vmap` can also be nested, producing an output with multiple batched dimensions 2025-12-04T09:09:02.3814963Z 2025-12-04T09:09:02.3815084Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:09:02.3815438Z >>> batched_dot = torch.vmap( 2025-12-04T09:09:02.3815779Z ... torch.vmap(torch.dot) 2025-12-04T09:09:02.3816130Z ... ) # [N1, N0, D], [N1, N0, D] -> [N1, N0] 2025-12-04T09:09:02.3816532Z >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5) 2025-12-04T09:09:02.3817044Z >>> batched_dot(x, y) # tensor of size [2, 3] 2025-12-04T09:09:02.3817311Z 2025-12-04T09:09:02.3817590Z If the inputs are not batched along the first dimension, ``in_dims`` specifies 2025-12-04T09:09:02.3818141Z the dimension that each inputs are batched along as 2025-12-04T09:09:02.3818443Z 2025-12-04T09:09:02.3818564Z >>> torch.dot # [N], [N] -> [] 2025-12-04T09:09:02.3819038Z >>> batched_dot = torch.vmap(torch.dot, in_dims=1) # [N, D], [N, D] -> [D] 2025-12-04T09:09:02.3819552Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-12-04T09:09:02.3819887Z >>> batched_dot( 2025-12-04T09:09:02.3820128Z ... x, y 2025-12-04T09:09:02.3820469Z ... ) # output is [5] instead of [2] if batched along the 0th dimension 2025-12-04T09:09:02.3820766Z 2025-12-04T09:09:02.3821025Z If there are multiple inputs each of which is batched along different dimensions, 2025-12-04T09:09:02.3821597Z ``in_dims`` must be a tuple with the batch dimension for each input as 2025-12-04T09:09:02.3821900Z 2025-12-04T09:09:02.3822018Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:09:02.3822453Z >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None)) # [N, D], [D] -> [N] 2025-12-04T09:09:02.3822900Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-12-04T09:09:02.3823193Z >>> batched_dot( 2025-12-04T09:09:02.3823407Z ... x, y 2025-12-04T09:09:02.3823713Z ... ) # second arg doesn't have a batch dim because in_dim[1] was None 2025-12-04T09:09:02.3824001Z 2025-12-04T09:09:02.3824219Z If the input is a Python struct, ``in_dims`` must be a tuple containing a struct 2025-12-04T09:09:02.3824816Z matching the shape of the input: 2025-12-04T09:09:02.3825043Z 2025-12-04T09:09:02.3825202Z >>> f = lambda dict: torch.dot(dict["x"], dict["y"]) 2025-12-04T09:09:02.3825604Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-12-04T09:09:02.3825962Z >>> input = {"x": x, "y": y} 2025-12-04T09:09:02.3826368Z >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},)) 2025-12-04T09:09:02.3826729Z >>> batched_dot(input) 2025-12-04T09:09:02.3826898Z 2025-12-04T09:09:02.3827149Z By default, the output is batched along the first dimension. However, it can be batched 2025-12-04T09:09:02.3827628Z along any dimension by using ``out_dims`` 2025-12-04T09:09:02.3827838Z 2025-12-04T09:09:02.3827929Z >>> f = lambda x: x**2 2025-12-04T09:09:02.3828188Z >>> x = torch.randn(2, 5) 2025-12-04T09:09:02.3828486Z >>> batched_pow = torch.vmap(f, out_dims=1) 2025-12-04T09:09:02.3828803Z >>> batched_pow(x) # [5, 2] 2025-12-04T09:09:02.3828978Z 2025-12-04T09:09:02.3829257Z For any function that uses kwargs, the returned function will not batch the kwargs but will 2025-12-04T09:09:02.3829983Z accept kwargs 2025-12-04T09:09:02.3830115Z 2025-12-04T09:09:02.3830224Z >>> x = torch.randn([2, 5]) 2025-12-04T09:09:02.3830492Z >>> def fn(x, scale=4.): 2025-12-04T09:09:02.3830754Z >>> return x * scale 2025-12-04T09:09:02.3830991Z >>> 2025-12-04T09:09:02.3831212Z >>> batched_pow = torch.vmap(fn) 2025-12-04T09:09:02.3831579Z >>> assert torch.allclose(batched_pow(x), x * 4) 2025-12-04T09:09:02.3832098Z >>> batched_pow(x, scale=x) # scale is not batched, output has shape [2, 2, 5] 2025-12-04T09:09:02.3832427Z 2025-12-04T09:09:02.3832552Z .. note:: 2025-12-04T09:09:02.3832888Z vmap does not provide general autobatching or handle variable-length 2025-12-04T09:09:02.3833323Z sequences out of the box. 2025-12-04T09:09:02.3833507Z 2025-12-04T09:09:02.3834253Z Original Error: IndentationError('expected an indented block after function definition on line 4', ('', 5, 1, '_._ = None\n', 5, 2)) 2025-12-04T09:09:02.3834920Z 2025-12-04T09:09:02.3835007Z _._ = None 2025-12-04T09:09:02.3835213Z ^ 2025-12-04T09:09:02.3835807Z msg = Cannot scrape callname=grad in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/apis.py line=306. 2025-12-04T09:09:02.3836581Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:09:02.3837303Z ``grad`` operator helps computing gradients of ``func`` with respect to the 2025-12-04T09:09:02.3837841Z input(s) specified by ``argnums``. This operator can be nested to 2025-12-04T09:09:02.3838258Z compute higher-order gradients. 2025-12-04T09:09:02.3838476Z 2025-12-04T09:09:02.3838572Z Args: 2025-12-04T09:09:02.3838905Z func (Callable): A Python function that takes one or more arguments. 2025-12-04T09:09:02.3839489Z Must return a single-element Tensor. If specified ``has_aux`` equals ``True``, 2025-12-04T09:09:02.3840141Z function can return a tuple of single-element Tensor and other auxiliary objects: 2025-12-04T09:09:02.3840616Z ``(output, aux)``. 2025-12-04T09:09:02.3841073Z argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to. 2025-12-04T09:09:02.3841671Z ``argnums`` can be single integer or tuple of integers. Default: 0. 2025-12-04T09:09:02.3842216Z has_aux (bool): Flag indicating that ``func`` returns a tensor and other 2025-12-04T09:09:02.3842685Z auxiliary objects: ``(output, aux)``. Default: False. 2025-12-04T09:09:02.3842958Z 2025-12-04T09:09:02.3843046Z Returns: 2025-12-04T09:09:02.3843434Z Function to compute gradients with respect to its inputs. By default, the output of 2025-12-04T09:09:02.3843991Z the function is the gradient tensor(s) with respect to the first argument. 2025-12-04T09:09:02.3844563Z If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects 2025-12-04T09:09:02.3845169Z is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with 2025-12-04T09:09:02.3845657Z respect to each ``argnums`` value is returned. 2025-12-04T09:09:02.3845901Z 2025-12-04T09:09:02.3846021Z Example of using ``grad``: 2025-12-04T09:09:02.3846207Z 2025-12-04T09:09:02.3846309Z >>> # xdoctest: +SKIP 2025-12-04T09:09:02.3846614Z >>> from torch.func import grad 2025-12-04T09:09:02.3846946Z >>> x = torch.randn([]) 2025-12-04T09:09:02.3847254Z >>> cos_x = grad(lambda x: torch.sin(x))(x) 2025-12-04T09:09:02.3847621Z >>> assert torch.allclose(cos_x, x.cos()) 2025-12-04T09:09:02.3847936Z >>> 2025-12-04T09:09:02.3848168Z >>> # Second-order gradients 2025-12-04T09:09:02.3848530Z >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x) 2025-12-04T09:09:02.3848924Z >>> assert torch.allclose(neg_sin_x, -x.sin()) 2025-12-04T09:09:02.3849170Z 2025-12-04T09:09:02.3849440Z When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients: 2025-12-04T09:09:02.3849798Z 2025-12-04T09:09:02.3849904Z >>> # xdoctest: +SKIP 2025-12-04T09:09:02.3850224Z >>> from torch.func import grad, vmap 2025-12-04T09:09:02.3850573Z >>> batch_size, feature_size = 3, 5 2025-12-04T09:09:02.3850874Z >>> 2025-12-04T09:09:02.3851122Z >>> def model(weights, feature_vec): 2025-12-04T09:09:02.3851501Z >>> # Very simple linear model with activation 2025-12-04T09:09:02.3851885Z >>> assert feature_vec.dim() == 1 2025-12-04T09:09:02.3852275Z >>> return feature_vec.dot(weights).relu() 2025-12-04T09:09:02.3852630Z >>> 2025-12-04T09:09:02.3852907Z >>> def compute_loss(weights, example, target): 2025-12-04T09:09:02.3853281Z >>> y = model(weights, example) 2025-12-04T09:09:02.3853661Z >>> return ((y - target) ** 2).mean() # MSELoss 2025-12-04T09:09:02.3854017Z >>> 2025-12-04T09:09:02.3854456Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-12-04T09:09:02.3854910Z >>> examples = torch.randn(batch_size, feature_size) 2025-12-04T09:09:02.3855279Z >>> targets = torch.randn(batch_size) 2025-12-04T09:09:02.3855614Z >>> inputs = (weights, examples, targets) 2025-12-04T09:09:02.3856072Z >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))( 2025-12-04T09:09:02.3856589Z ... *inputs 2025-12-04T09:09:02.3856820Z ... ) 2025-12-04T09:09:02.3856960Z 2025-12-04T09:09:02.3857141Z Example of using ``grad`` with ``has_aux`` and ``argnums``: 2025-12-04T09:09:02.3857419Z 2025-12-04T09:09:02.3857531Z >>> # xdoctest: +SKIP 2025-12-04T09:09:02.3857836Z >>> from torch.func import grad 2025-12-04T09:09:02.3858168Z >>> def my_loss_func(y, y_pred): 2025-12-04T09:09:02.3858532Z >>> loss_per_sample = (0.5 * y_pred - y) ** 2 2025-12-04T09:09:02.3858901Z >>> loss = loss_per_sample.mean() 2025-12-04T09:09:02.3859243Z >>> return loss, (y_pred, loss_per_sample) 2025-12-04T09:09:02.3859561Z >>> 2025-12-04T09:09:02.3859847Z >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True) 2025-12-04T09:09:02.3860209Z >>> y_true = torch.rand(4) 2025-12-04T09:09:02.3860555Z >>> y_preds = torch.rand(4, requires_grad=True) 2025-12-04T09:09:02.3860924Z >>> out = fn(y_true, y_preds) 2025-12-04T09:09:02.3861389Z >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample)) 2025-12-04T09:09:02.3861741Z 2025-12-04T09:09:02.3861844Z .. note:: 2025-12-04T09:09:02.3862167Z Using PyTorch ``torch.no_grad`` together with ``grad``. 2025-12-04T09:09:02.3862452Z 2025-12-04T09:09:02.3862612Z Case 1: Using ``torch.no_grad`` inside a function: 2025-12-04T09:09:02.3862851Z 2025-12-04T09:09:02.3862951Z >>> # xdoctest: +SKIP 2025-12-04T09:09:02.3863246Z >>> def f(x): 2025-12-04T09:09:02.3863533Z >>> with torch.no_grad(): 2025-12-04T09:09:02.3863841Z >>> c = x ** 2 2025-12-04T09:09:02.3864148Z >>> return x - c 2025-12-04T09:09:02.3864330Z 2025-12-04T09:09:02.3864524Z In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``. 2025-12-04T09:09:02.3864938Z 2025-12-04T09:09:02.3865129Z Case 2: Using ``grad`` inside ``torch.no_grad`` context manager: 2025-12-04T09:09:02.3865429Z 2025-12-04T09:09:02.3865535Z >>> # xdoctest: +SKIP 2025-12-04T09:09:02.3865844Z >>> with torch.no_grad(): 2025-12-04T09:09:02.3866146Z >>> grad(f)(x) 2025-12-04T09:09:02.3866328Z 2025-12-04T09:09:02.3866566Z In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the 2025-12-04T09:09:02.3867154Z outer one. This is because ``grad`` is a "function transform": its result 2025-12-04T09:09:02.3867766Z should not depend on the result of a context manager outside of ``f``. 2025-12-04T09:09:02.3868120Z 2025-12-04T09:09:02.3868221Z 2025-12-04T09:09:02.3868869Z Original Error: IndentationError('expected an indented block after function definition on line 5', ('', 6, 1, '_._ = None\n', 6, 2)) 2025-12-04T09:09:02.3869481Z 2025-12-04T09:09:02.3869563Z _._ = None 2025-12-04T09:09:02.3869768Z ^ 2025-12-04T09:09:03.7946369Z msg = Cannot scrape callname=CustomOpDef.register_fake in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py line=402. 2025-12-04T09:09:03.7947085Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:09:03.7947448Z Register a FakeTensor implementation for this custom op. 2025-12-04T09:09:03.7947653Z 2025-12-04T09:09:03.7947859Z This is necessary to get the operator to work efficiently with torch.compile. 2025-12-04T09:09:03.7948099Z 2025-12-04T09:09:03.7948258Z The Fake impl (sometimes also known as a meta kernel or abstract impl) 2025-12-04T09:09:03.7949003Z specifies the behavior of this operator on Tensors that carry no data. 2025-12-04T09:09:03.7949358Z Given some input Tensors with certain properties 2025-12-04T09:09:03.7949706Z (sizes/strides/storage_offset/device), it specifies what the properties of 2025-12-04T09:09:03.7950034Z the output Tensors are. 2025-12-04T09:09:03.7950170Z 2025-12-04T09:09:03.7950426Z Please see :func:`torch.library.register_fake` for more details. 2025-12-04T09:09:03.7950642Z 2025-12-04T09:09:03.7950715Z Args: 2025-12-04T09:09:03.7950949Z fn (Callable): The function to register as the FakeTensor 2025-12-04T09:09:03.7951214Z implementation. 2025-12-04T09:09:03.7951355Z 2025-12-04T09:09:03.7951428Z Examples: 2025-12-04T09:09:03.7951619Z >>> import torch 2025-12-04T09:09:03.7951839Z >>> import numpy as np 2025-12-04T09:09:03.7952031Z >>> from torch import Tensor 2025-12-04T09:09:03.7952229Z >>> 2025-12-04T09:09:03.7952438Z >>> # Example 1: an operator without data-dependent output shape 2025-12-04T09:09:03.7952758Z >>> @torch.library.custom_op("mylib::linear", mutates_args=()) 2025-12-04T09:09:03.7953053Z >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-12-04T09:09:03.7953313Z >>> return (x @ weight.t()) + bias 2025-12-04T09:09:03.7953502Z >>> 2025-12-04T09:09:03.7953662Z >>> @linear.register_fake 2025-12-04T09:09:03.7953858Z >>> def _(x, weight, bias): 2025-12-04T09:09:03.7954042Z >>> assert x.dim() == 2 2025-12-04T09:09:03.7954236Z >>> assert weight.dim() == 2 2025-12-04T09:09:03.7954436Z >>> assert bias.dim() == 1 2025-12-04T09:09:03.7954648Z >>> assert x.shape[1] == weight.shape[1] 2025-12-04T09:09:03.7954870Z >>> assert weight.shape[0] == bias.shape[0] 2025-12-04T09:09:03.7955105Z >>> assert x.device == weight.device 2025-12-04T09:09:03.7955341Z >>> return x.new_empty(x.size(0), weight.size(0)) 2025-12-04T09:09:03.7955542Z >>> 2025-12-04T09:09:03.7955700Z >>> x = torch.randn(2, 2) 2025-12-04T09:09:03.7955893Z >>> weight = torch.randn(2, 2) 2025-12-04T09:09:03.7956082Z >>> bias = torch.randn(2) 2025-12-04T09:09:03.7956296Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:09:03.7956561Z >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias) 2025-12-04T09:09:03.7956821Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:09:03.7957101Z >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias)) 2025-12-04T09:09:03.7957363Z >>> 2025-12-04T09:09:03.7957564Z >>> # Example 2: an operator with data-dependent output shape 2025-12-04T09:09:03.7957843Z >>> @torch.library.custom_op("mylib::nonzero", mutates_args=()) 2025-12-04T09:09:03.7958095Z >>> def nonzero(x: Tensor) -> Tensor: 2025-12-04T09:09:03.7958305Z >>> x_np = x.cpu().numpy() 2025-12-04T09:09:03.7958517Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-12-04T09:09:03.7958737Z >>> return torch.tensor(res, device=x.device) 2025-12-04T09:09:03.7958936Z >>> 2025-12-04T09:09:03.7959093Z >>> @nonzero.register_fake 2025-12-04T09:09:03.7959273Z >>> def _(x): 2025-12-04T09:09:03.7959476Z >>> # Number of nonzero-elements is data-dependent. 2025-12-04T09:09:03.7959735Z >>> # Since we cannot peek at the data in an abstract impl, 2025-12-04T09:09:03.7959985Z >>> # we use the ctx object to construct a new symint that 2025-12-04T09:09:03.7960227Z >>> # represents the data-dependent size. 2025-12-04T09:09:03.7960452Z >>> ctx = torch.library.get_ctx() 2025-12-04T09:09:03.7960714Z >>> nnz = ctx.new_dynamic_size() 2025-12-04T09:09:03.7960918Z >>> shape = [nnz, x.dim()] 2025-12-04T09:09:03.7961149Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-12-04T09:09:03.7961372Z >>> return result 2025-12-04T09:09:03.7961538Z >>> 2025-12-04T09:09:03.7961706Z >>> x = torch.tensor([0, 1, 2, 0, 0, 1]) 2025-12-04T09:09:03.7961975Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:09:03.7962202Z >>> out = torch.compile(nonzero, fullgraph=True)(x) 2025-12-04T09:09:03.7962438Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:09:03.7962663Z >>> assert torch.allclose(out, x.nonzero()) 2025-12-04T09:09:03.7962797Z 2025-12-04T09:09:03.7962860Z 2025-12-04T09:09:03.7963214Z Original Error: IndentationError('expected an indented block after function definition on line 36', ('', 37, 1, '_._ = None\n', 37, 2)) 2025-12-04T09:09:03.7963549Z 2025-12-04T09:09:03.7963610Z _._ = None 2025-12-04T09:09:03.7963747Z ^ 2025-12-04T09:09:03.8076545Z msg = Cannot scrape callname=unsafe_generate_fake_kernels in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/fake_profile.py line=94. 2025-12-04T09:09:03.8077162Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-12-04T09:09:03.8077412Z 2025-12-04T09:09:03.8077561Z Registers a fake kernel based on the given operator profiles. This fake 2025-12-04T09:09:03.8077915Z kernel registration will override any existing fake kernel registrations. 2025-12-04T09:09:03.8078122Z 2025-12-04T09:09:03.8078264Z The input is a dictionary mapping operator names to a set of operator 2025-12-04T09:09:03.8078587Z profiles, which we will use to generate fake kernels. The operator profiles 2025-12-04T09:09:03.8078909Z are a record of the input and output tensor metadata. Based on this 2025-12-04T09:09:03.8079238Z information we will match a given input to the recorded profile, and return 2025-12-04T09:09:03.8079564Z an output with the same metadata as in the recorded profile. If a profile 2025-12-04T09:09:03.8079854Z doesn't exist then an exception will be thrown. 2025-12-04T09:09:03.8080010Z 2025-12-04T09:09:03.8080148Z The fake kernel generation is considered unsafe because it relies on the 2025-12-04T09:09:03.8080482Z rigid, pre-defined operator profiles that do not account for potential 2025-12-04T09:09:03.8080821Z variations in output behavior. Specifically, the generated kernels assume a 2025-12-04T09:09:03.8081175Z fixed relationship between input and output ranks. However, in reality, it's 2025-12-04T09:09:03.8081530Z possible that data-dependent operations may produce outputs of different 2025-12-04T09:09:03.8081865Z ranks even when given inputs of the same rank. The generated fake kernels 2025-12-04T09:09:03.8082179Z are inflexible and unable to accommodate these nuances, making them 2025-12-04T09:09:03.8082436Z potentially unsafe. 2025-12-04T09:09:03.8082535Z 2025-12-04T09:09:03.8082605Z Args: 2025-12-04T09:09:03.8082818Z op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator 2025-12-04T09:09:03.8083129Z name to a set of operator profiles from which we will generate fake 2025-12-04T09:09:03.8083370Z kernels. 2025-12-04T09:09:03.8083461Z 2025-12-04T09:09:03.8083525Z Examples: 2025-12-04T09:09:03.8083619Z 2025-12-04T09:09:03.8083736Z >>> # Example: Registering an op-profile from draft-export 2025-12-04T09:09:03.8083969Z >>> import torch 2025-12-04T09:09:03.8084177Z >>> from torch.export._draft_export import draft_export 2025-12-04T09:09:03.8084391Z >>> 2025-12-04T09:09:03.8084604Z >>> @torch.library.custom_op("mylib::foo", mutates_args=()) 2025-12-04T09:09:03.8084865Z >>> def foo(x: Tensor, y: Tensor) -> Tensor: 2025-12-04T09:09:03.8085067Z >>> return x + y 2025-12-04T09:09:03.8085235Z >>> 2025-12-04T09:09:03.8085394Z >>> class M(torch.nn.Module): 2025-12-04T09:09:03.8085814Z >>> def forward(self, a, b): 2025-12-04T09:09:03.8086055Z >>> res = torch.ops.mylib.foo(a, b) # no fake impl 2025-12-04T09:09:03.8086278Z >>> return res 2025-12-04T09:09:03.8086437Z >>> 2025-12-04T09:09:03.8086626Z >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4)) 2025-12-04T09:09:03.8086848Z >>> 2025-12-04T09:09:03.8087105Z >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles): 2025-12-04T09:09:03.8087479Z >>> decomp = ep.run_decompositions() 2025-12-04T09:09:03.8087625Z 2025-12-04T09:09:03.8087628Z 2025-12-04T09:09:03.8087895Z Original Error: IncompleteParseError('ill-formed doctest: all parts have been processed but the doctest source is not balanced') 2025-12-04T09:09:03.8088208Z 2025-12-04T09:09:04.1927422Z msg = Cannot scrape callname=ActivationSparsifier in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py line=16. 2025-12-04T09:09:04.1928817Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:09:04.1929208Z 2025-12-04T09:09:04.1929715Z The Activation sparsifier class aims to sparsify/prune activations in a neural 2025-12-04T09:09:04.1930443Z network. The idea is to attach the sparsifier to a layer (or layers) and it 2025-12-04T09:09:04.1931114Z zeroes out the activations based on the mask_fn (or sparsification function) 2025-12-04T09:09:04.1931667Z input by the user. 2025-12-04T09:09:04.1932058Z The mask_fn is applied once all the inputs are aggregated and reduced i.e. 2025-12-04T09:09:04.1932548Z mask = mask_fn(reduce_fn(aggregate_fn(activations))) 2025-12-04T09:09:04.1932823Z 2025-12-04T09:09:04.1932956Z Note:: 2025-12-04T09:09:04.1933398Z The sparsification mask is computed on the input **before it goes through the attached layer**. 2025-12-04T09:09:04.1933833Z 2025-12-04T09:09:04.1933915Z Args: 2025-12-04T09:09:04.1934141Z model (nn.Module): 2025-12-04T09:09:04.1934545Z The model whose layers will be sparsified. The layers that needs to be 2025-12-04T09:09:04.1935098Z sparsified should be added separately using the register_layer() function 2025-12-04T09:09:04.1935544Z aggregate_fn (Optional, Callable): 2025-12-04T09:09:04.1936008Z default aggregate_fn that is used if not specified while registering the layer. 2025-12-04T09:09:04.1936545Z specifies how inputs should be aggregated over time. 2025-12-04T09:09:04.1937089Z The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor. 2025-12-04T09:09:04.1937562Z Example 2025-12-04T09:09:04.1937885Z def add_agg_fn(tensor1, tensor2): return tensor1 + tensor2 2025-12-04T09:09:04.1938289Z reduce_fn (Optional, Callable): 2025-12-04T09:09:04.1938768Z default reduce_fn that is used if not specified while registering the layer. 2025-12-04T09:09:04.1939400Z reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after 2025-12-04T09:09:04.1939870Z calling agg_fn() on all inputs. 2025-12-04T09:09:04.1940179Z Example 2025-12-04T09:09:04.1940540Z def mean_reduce_fn(agg_tensor): return agg_tensor.mean(dim=0) 2025-12-04T09:09:04.1940960Z mask_fn (Optional, Callable): 2025-12-04T09:09:04.1941493Z default mask_fn that is used to create the sparsification mask using the tensor obtained after 2025-12-04T09:09:04.1942181Z calling the reduce_fn(). This is used by default if a custom one is passed in the 2025-12-04T09:09:04.1942622Z register_layer(). 2025-12-04T09:09:04.1943154Z Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config 2025-12-04T09:09:04.1943701Z arguments. 2025-12-04T09:09:04.1943997Z features (Optional, list): 2025-12-04T09:09:04.1944359Z default selected features to sparsify. 2025-12-04T09:09:04.1945551Z If this is non-empty, then the mask_fn will be applied for each feature of the input. 2025-12-04T09:09:04.1946119Z For example, 2025-12-04T09:09:04.1946567Z mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features] 2025-12-04T09:09:04.1947058Z feature_dim (Optional, int): 2025-12-04T09:09:04.1947699Z default dimension of input features. Again, features along this dim will be chosen 2025-12-04T09:09:04.1948211Z for sparsification. 2025-12-04T09:09:04.1948518Z sparse_config (Dict): 2025-12-04T09:09:04.1948915Z Default configuration for the mask_fn. This config will be passed 2025-12-04T09:09:04.1949322Z with the mask_fn() 2025-12-04T09:09:04.1949527Z 2025-12-04T09:09:04.1949616Z Example: 2025-12-04T09:09:04.1949846Z >>> # xdoctest: +SKIP 2025-12-04T09:09:04.1950114Z >>> model = SomeModel() 2025-12-04T09:09:04.1950546Z >>> act_sparsifier = ActivationSparsifier(...) # init activation sparsifier 2025-12-04T09:09:04.1950989Z >>> # Initialize aggregate_fn 2025-12-04T09:09:04.1951271Z >>> def agg_fn(x, y): 2025-12-04T09:09:04.1951529Z >>> return x + y 2025-12-04T09:09:04.1951780Z >>> 2025-12-04T09:09:04.1951996Z >>> # Initialize reduce_fn 2025-12-04T09:09:04.1952276Z >>> def reduce_fn(x): 2025-12-04T09:09:04.1952559Z >>> return torch.mean(x, dim=0) 2025-12-04T09:09:04.1952851Z >>> 2025-12-04T09:09:04.1953075Z >>> # Initialize mask_fn 2025-12-04T09:09:04.1953350Z >>> def mask_fn(data): 2025-12-04T09:09:04.1953660Z >>> return torch.eye(data.shape).to(data.device) 2025-12-04T09:09:04.1953975Z >>> 2025-12-04T09:09:04.1954161Z >>> 2025-12-04T09:09:04.1954381Z >>> act_sparsifier.register_layer( 2025-12-04T09:09:04.1954680Z ... model.some_layer, 2025-12-04T09:09:04.1954952Z ... aggregate_fn=agg_fn, 2025-12-04T09:09:04.1955239Z ... reduce_fn=reduce_fn, 2025-12-04T09:09:04.1955508Z ... mask_fn=mask_fn, 2025-12-04T09:09:04.1955766Z ... ) 2025-12-04T09:09:04.1955961Z >>> 2025-12-04T09:09:04.1956167Z >>> # start training process 2025-12-04T09:09:04.1956448Z >>> for _ in [...]: 2025-12-04T09:09:04.1956700Z >>> # epoch starts 2025-12-04T09:09:04.1957030Z >>> # model.forward(), compute_loss() and model.backwards() 2025-12-04T09:09:04.1957408Z >>> # epoch ends 2025-12-04T09:09:04.1957669Z >>> act_sparsifier.step() 2025-12-04T09:09:04.1957968Z >>> # end training process 2025-12-04T09:09:04.1958263Z >>> sparsifier.squash_mask() 2025-12-04T09:09:04.1958445Z 2025-12-04T09:09:04.1958945Z Original Error: IndentationError("expected an indented block after 'for' statement on line 25", ('', 26, 1, '_._ = None\n', 26, 2)) 2025-12-04T09:09:04.1959524Z 2025-12-04T09:09:04.1959645Z _._ = None 2025-12-04T09:09:04.1959840Z ^ 2025-12-04T09:09:04.5574977Z msg = Cannot scrape callname=DeviceMesh.__getitem__ in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/device_mesh.py line=547. 2025-12-04T09:09:04.5576978Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:09:04.5577389Z 2025-12-04T09:09:04.5577705Z Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh. 2025-12-04T09:09:04.5578425Z The submesh created consists of the dimensions and the communicators indicated by 2025-12-04T09:09:04.5578949Z ``mesh_dim_names`` 2025-12-04T09:09:04.5579123Z 2025-12-04T09:09:04.5579225Z Args: 2025-12-04T09:09:04.5579614Z mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the 2025-12-04T09:09:04.5580149Z mesh dimension of the DeviceMesh to create the submesh for. 2025-12-04T09:09:04.5580525Z Returns: 2025-12-04T09:09:04.5580763Z A :class:`DeviceMesh` object 2025-12-04T09:09:04.5580971Z 2025-12-04T09:09:04.5581269Z The following program runs on each process/rank in an SPMD manner in a world size of 8. 2025-12-04T09:09:04.5582177Z In the first example: 2025-12-04T09:09:04.5582627Z Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]). 2025-12-04T09:09:04.5583243Z Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of DeviceMesh:([4, 5, 6, 7]). 2025-12-04T09:09:04.5583841Z Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of DeviceMesh:([0, 4]). 2025-12-04T09:09:04.5584550Z Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of DeviceMesh:([1, 5]). 2025-12-04T09:09:04.5585255Z Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of DeviceMesh:([2, 6]). 2025-12-04T09:09:04.5585860Z Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of DeviceMesh:([3, 7]). 2025-12-04T09:09:04.5586231Z 2025-12-04T09:09:04.5586347Z In the second example: 2025-12-04T09:09:04.5586824Z Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]). 2025-12-04T09:09:04.5587557Z Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]). 2025-12-04T09:09:04.5588201Z Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]). 2025-12-04T09:09:04.5588821Z Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]). 2025-12-04T09:09:04.5589232Z 2025-12-04T09:09:04.5589466Z Example:: 2025-12-04T09:09:04.5589596Z 2025-12-04T09:09:04.5589725Z >>> # xdoctest: +SKIP("no rank") 2025-12-04T09:09:04.5590031Z >>> from torch.distributed.device_mesh import DeviceMesh 2025-12-04T09:09:04.5590330Z >>> 2025-12-04T09:09:04.5590645Z >>> # Initialize a 2D device mesh as (2, 4) to represent the topology 2025-12-04T09:09:04.5591082Z >>> # of cross-host(dim 0), and within-host (dim 1). 2025-12-04T09:09:04.5591577Z >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-12-04T09:09:04.5592035Z >>> tp_mesh = mesh_2d["tp"] 2025-12-04T09:09:04.5592328Z >>> dp_mesh = mesh_2d["dp"] 2025-12-04T09:09:04.5592601Z >>> 2025-12-04T09:09:04.5592822Z >>> # Initialize a 3D mesh. 2025-12-04T09:09:04.5593283Z >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp")) 2025-12-04T09:09:04.5593959Z >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh. 2025-12-04T09:09:04.5594485Z >>> dp_cp_mesh = mesh_3d["dp", "cp"] 2025-12-04T09:09:04.5594810Z >>> cp_dp_mesh = mesh_3d["cp", "dp"] 2025-12-04T09:09:04.5595021Z 2025-12-04T09:09:04.5595668Z 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)) 2025-12-04T09:09:04.5596411Z 2025-12-04T09:09:04.5596649Z mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-12-04T09:09:04.5597112Z ^ 2025-12-04T09:09:04.7919076Z msg = Cannot scrape callname=SavePlanner in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/planner.py line=122. 2025-12-04T09:09:04.7919787Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:09:04.7920026Z 2025-12-04T09:09:04.7920225Z Abstract class defining the protocol used by save_state_dict to plan the save process. 2025-12-04T09:09:04.7920536Z 2025-12-04T09:09:04.7920707Z SavePlanners are stateful objects that can be used to customize the whole save process. 2025-12-04T09:09:04.7920939Z 2025-12-04T09:09:04.7921097Z SavePlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-12-04T09:09:04.7921394Z will be visible to the whole process. 2025-12-04T09:09:04.7921522Z 2025-12-04T09:09:04.7921680Z A planner subclass can expect the following sequence of calls during save_state_dict: 2025-12-04T09:09:04.7921899Z 2025-12-04T09:09:04.7922350Z 1) set_up_planner - called on all ranks. 2025-12-04T09:09:04.7922582Z Signals the start of a checkpoint save. 2025-12-04T09:09:04.7922717Z 2025-12-04T09:09:04.7922805Z 2) create_local_plan - called on all ranks. 2025-12-04T09:09:04.7923103Z Process the state_dict and produces a `SavePlan` that will be sent for global planning. 2025-12-04T09:09:04.7923331Z 2025-12-04T09:09:04.7923540Z 3) create_global_plan - called on the coordinator rank only. 2025-12-04T09:09:04.7923828Z Takes the SavePlan from all ranks and make any global decision. 2025-12-04T09:09:04.7923999Z 2025-12-04T09:09:04.7924078Z 4) finish_plan - called on all ranks. 2025-12-04T09:09:04.7924339Z This gives each rank a chance to adjust to global planning decisions. 2025-12-04T09:09:04.7924532Z 2025-12-04T09:09:04.7924631Z 5) resolve_data - called multiple times on each rank 2025-12-04T09:09:04.7924907Z Lookups a value on the `state_dict` for the storage layer to write. 2025-12-04T09:09:04.7925080Z 2025-12-04T09:09:04.7925252Z Users are recommended to extend DefaultSavePlanner instead of this interface directly as 2025-12-04T09:09:04.7925595Z most changes can be expressed by changes in a single method. 2025-12-04T09:09:04.7925766Z 2025-12-04T09:09:04.7925847Z There are 3 usual patterns of extension: 2025-12-04T09:09:04.7925981Z 2025-12-04T09:09:04.7926136Z Rewriting state_dict. This is the simplest way to extend the save process as it 2025-12-04T09:09:04.7926466Z doesn't requite understanding the intrincacies of how SavePlan works: 2025-12-04T09:09:04.7926655Z 2025-12-04T09:09:04.7926733Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:09:04.7926952Z >>> class RenamePlanner(DefaultSavePlanner): 2025-12-04T09:09:04.7927157Z >>> def set_up_planner( 2025-12-04T09:09:04.7927338Z >>> self, 2025-12-04T09:09:04.7927534Z >>> state_dict: STATE_DICT_TYPE, 2025-12-04T09:09:04.7927744Z >>> storage_meta: Optional[StorageMeta], 2025-12-04T09:09:04.7927947Z >>> is_coordinator: bool, 2025-12-04T09:09:04.7928155Z >>> ) -> None: 2025-12-04T09:09:04.7928339Z >>> # prefix all keys with `foo_`` 2025-12-04T09:09:04.7928715Z >>> super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator) 2025-12-04T09:09:04.7929036Z 2025-12-04T09:09:04.7929294Z Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted 2025-12-04T09:09:04.7929731Z 2025-12-04T09:09:04.7929817Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:09:04.7930031Z >>> class FP16Planner(DefaultSavePlanner): 2025-12-04T09:09:04.7930236Z >>> def create_local_plan(self): 2025-12-04T09:09:04.7930448Z >>> plan = super().create_local_plan() 2025-12-04T09:09:04.7930654Z >>> for p in plan: 2025-12-04T09:09:04.7930845Z >>> if p.tensor_data is not None: 2025-12-04T09:09:04.7931088Z >>> p.tensor_data.properties.dtype = torch.float16 2025-12-04T09:09:04.7931320Z >>> return plan 2025-12-04T09:09:04.7931482Z >>> 2025-12-04T09:09:04.7931641Z >>> def resolve_data(self, write_item): 2025-12-04T09:09:04.7931876Z >>> item = super().resolve_data(write_item) 2025-12-04T09:09:04.7932221Z >>> return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16) 2025-12-04T09:09:04.7932464Z 2025-12-04T09:09:04.7932673Z Using the global planning step to make central decisions that can't be made individually by each rank 2025-12-04T09:09:04.7932956Z 2025-12-04T09:09:04.7933046Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:09:04.7933257Z >>> from itertools import zip_longest 2025-12-04T09:09:04.7933459Z >>> from dataclasses import replace 2025-12-04T09:09:04.7933711Z >>> class DDPLoadBalancingPlanner(DefaultSavePlanner): 2025-12-04T09:09:04.7934026Z >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0 2025-12-04T09:09:04.7934320Z >>> # This sample doesn't handle ShardedTensors 2025-12-04T09:09:04.7934635Z >>> def create_global_plan(self, all_plans): 2025-12-04T09:09:04.7934876Z >>> iters = [iter(all_plans[0].items)] * len(all_plans) 2025-12-04T09:09:04.7935095Z >>> items_per_rank = [ 2025-12-04T09:09:04.7935290Z >>> [item for item in items if item is not None] 2025-12-04T09:09:04.7935536Z >>> for items in zip(*zip_longest(*iters), strict=True) 2025-12-04T09:09:04.7935752Z >>> ] 2025-12-04T09:09:04.7936002Z >>> all_plans = [ 2025-12-04T09:09:04.7936187Z >>> replace(plan, items=items) 2025-12-04T09:09:04.7936433Z >>> for plan, items in zip(all_plans, items_per_rank, strict=True) 2025-12-04T09:09:04.7936663Z >>> ] 2025-12-04T09:09:04.7936848Z >>> return super().create_global_plan(all_plans) 2025-12-04T09:09:04.7937000Z 2025-12-04T09:09:04.7937153Z Finally, some planners need to save additional metadata in the checkpoint, this is 2025-12-04T09:09:04.7937525Z accomplished by having each rank contribute their data items in the local plan and 2025-12-04T09:09:04.7937808Z the global planner aggregate them: 2025-12-04T09:09:04.7937941Z 2025-12-04T09:09:04.7938016Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:09:04.7938248Z >>> class SaveExtraDataPlanner(DefaultSavePlanner): 2025-12-04T09:09:04.7938481Z >>> def create_local_plan(self) -> SavePlan: 2025-12-04T09:09:04.7938705Z >>> plan = super().create_local_plan() 2025-12-04T09:09:04.7938953Z >>> return replace(plan, planner_data="per-rank-data") 2025-12-04T09:09:04.7939183Z >>> 2025-12-04T09:09:04.7939419Z >>> def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]: 2025-12-04T09:09:04.7939764Z >>> global_plan, metadata = super().create_global_plan(all_plans) 2025-12-04T09:09:04.7940042Z >>> merged_data = [p.planner_data for p in global_plan] 2025-12-04T09:09:04.7940293Z >>> metadata = replace(metadata, planner_data=merged_data) 2025-12-04T09:09:04.7940525Z >>> return global_plan, metadata 2025-12-04T09:09:04.7940654Z 2025-12-04T09:09:04.7940946Z Original Error: IndentationError('expected an indented block after function definition on line 3', ('', 9, 0, '_._ = None\n', 9, -1)) 2025-12-04T09:09:04.7941277Z 2025-12-04T09:09:04.7941341Z _._ = None 2025-12-04T09:09:04.7941474Z ^ 2025-12-04T09:09:04.7941904Z msg = Cannot scrape callname=LoadPlanner in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/planner.py line=305. 2025-12-04T09:09:04.7942419Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:09:04.7942615Z 2025-12-04T09:09:04.7942789Z Abstract class defining the protocol used by load_state_dict to plan the load process. 2025-12-04T09:09:04.7943004Z 2025-12-04T09:09:04.7943179Z LoadPlanner are stateful objects that can be used to customize the whole load process. 2025-12-04T09:09:04.7943396Z 2025-12-04T09:09:04.7943554Z LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-12-04T09:09:04.7943847Z will be visible to the whole process. 2025-12-04T09:09:04.7943973Z 2025-12-04T09:09:04.7944136Z A planner subclass can expect the following sequence of calls during load_state_dict: 2025-12-04T09:09:04.7944342Z 2025-12-04T09:09:04.7944433Z 1) set_up_planner - called on all ranks. 2025-12-04T09:09:04.7944778Z Signals the start of loading a checkpoint. 2025-12-04T09:09:04.7944953Z 2025-12-04T09:09:04.7945047Z 2) create_local_plan - called on all ranks. 2025-12-04T09:09:04.7945392Z Process the state_dict and produces a `LoadPlan` that will be sent for global planning. 2025-12-04T09:09:04.7945637Z 2025-12-04T09:09:04.7945766Z 3) create_global_plan - called on the coordinator rank only. 2025-12-04T09:09:04.7946090Z Takes the LoadPlan from all ranks and make any global decision. 2025-12-04T09:09:04.7946290Z 2025-12-04T09:09:04.7946397Z 4) load_bytes - called multiple times on each rank 2025-12-04T09:09:04.7946684Z This is called once per non-tensor value in state_dict. 2025-12-04T09:09:04.7946918Z 2025-12-04T09:09:04.7947072Z 5) resolve_tensor and commit_tensor - called multiple times on each rank 2025-12-04T09:09:04.7947416Z They are called in pair for each Tensor value in state_dict. 2025-12-04T09:09:04.7947607Z 2025-12-04T09:09:04.7947802Z Users are recommended to extend DefaultLoadPlanner instead of this interface directly as 2025-12-04T09:09:04.7948229Z most changes can be expressed by changes in a single method. 2025-12-04T09:09:04.7948411Z 2025-12-04T09:09:04.7948507Z There are two usual patterns of extension: 2025-12-04T09:09:04.7948665Z 2025-12-04T09:09:04.7948830Z Rewriting state_dict. This is the simplest way to extend the load process as it 2025-12-04T09:09:04.7949227Z doesn't requite understanding the intrincacies of how LoadPlan works. We need 2025-12-04T09:09:04.7949612Z to keep a reference to the original state_dict as load happens in place so 2025-12-04T09:09:04.7949912Z we need to be able to perform it in place 2025-12-04T09:09:04.7950069Z 2025-12-04T09:09:04.7950157Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:09:04.7950405Z >>> class RenamePlanner(DefaultLoadPlanner): 2025-12-04T09:09:04.7950636Z >>> def set_up_planner( 2025-12-04T09:09:04.7950828Z >>> self, 2025-12-04T09:09:04.7951023Z >>> state_dict: STATE_DICT_TYPE, 2025-12-04T09:09:04.7951236Z >>> metadata: Metadata, 2025-12-04T09:09:04.7951452Z >>> is_coordinator: bool, 2025-12-04T09:09:04.7951664Z >>> ) -> None: 2025-12-04T09:09:04.7951834Z >>> self.original_state_dict = state_dict 2025-12-04T09:09:04.7952084Z >>> state_dict = {"foo_" + k: v for k, v in state_dict.items()} 2025-12-04T09:09:04.7952300Z >>> 2025-12-04T09:09:04.7952455Z >>> if self.flatten_sharded_tensors: 2025-12-04T09:09:04.7952674Z >>> state_dict = _flatten_sharded_tensors(state_dict) 2025-12-04T09:09:04.7952883Z >>> 2025-12-04T09:09:04.7953023Z >>> if self.flatten_state_dict: 2025-12-04T09:09:04.7953252Z >>> state_dict, self.mappings = flatten_state_dict(state_dict) 2025-12-04T09:09:04.7953470Z >>> 2025-12-04T09:09:04.7953614Z >>> self.state_dict = state_dict 2025-12-04T09:09:04.7953801Z >>> self.metadata = metadata 2025-12-04T09:09:04.7954002Z >>> self.is_coordinator = is_coordinator 2025-12-04T09:09:04.7954193Z >>> 2025-12-04T09:09:04.7954339Z >>> def load_bytes(self, read_item, value): 2025-12-04T09:09:04.7954547Z >>> # Remove the "foo_" prefix 2025-12-04T09:09:04.7954844Z >>> self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False) 2025-12-04T09:09:04.7955077Z 2025-12-04T09:09:04.7955080Z 2025-12-04T09:09:04.7955234Z Modifying resolve_tensor and commit_tensor to handle load time transformation. 2025-12-04T09:09:04.7955437Z 2025-12-04T09:09:04.7955511Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:09:04.7955742Z >>> class MetaModelMaterialize(DefaultSavePlanner): 2025-12-04T09:09:04.7955974Z >>> def resolve_tensor(self, read_item): 2025-12-04T09:09:04.7956184Z >>> tensor = super().resolve_tensor(read_item) 2025-12-04T09:09:04.7956420Z >>> return torch.empty_like(tensor, device="cpu") 2025-12-04T09:09:04.7956620Z >>> 2025-12-04T09:09:04.7956778Z >>> def commit_tensor(self, read_item, tensor): 2025-12-04T09:09:04.7957058Z >>> self.state_dict[read_item.dest_index.fqn] = tensor 2025-12-04T09:09:04.7957238Z 2025-12-04T09:09:04.7957531Z Original Error: IndentationError('expected an indented block after function definition on line 22', ('', 23, 0, '_._ = None\n', 23, -1)) 2025-12-04T09:09:04.7957860Z 2025-12-04T09:09:04.7957926Z _._ = None 2025-12-04T09:09:04.7958057Z ^ 2025-12-04T09:09:04.9638037Z msg = Cannot scrape callname=FullStateDictConfig in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/api.py line=295. 2025-12-04T09:09:04.9638665Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:09:04.9638915Z 2025-12-04T09:09:04.9639487Z ``FullStateDictConfig`` is a config class meant to be used with 2025-12-04T09:09:04.9639906Z ``StateDictType.FULL_STATE_DICT``. We recommend enabling both 2025-12-04T09:09:04.9640272Z ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state 2025-12-04T09:09:04.9640627Z dicts to save GPU memory and CPU memory, respectively. This config class 2025-12-04T09:09:04.9641117Z is meant to be used via the :func:`state_dict_type` context manager as 2025-12-04T09:09:04.9641401Z follows: 2025-12-04T09:09:04.9641511Z 2025-12-04T09:09:04.9641632Z >>> # xdoctest: +SKIP("undefined variables") 2025-12-04T09:09:04.9641978Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2025-12-04T09:09:04.9642288Z >>> fsdp = FSDP(model, auto_wrap_policy=...) 2025-12-04T09:09:04.9642572Z >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True) 2025-12-04T09:09:04.9642895Z >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg): 2025-12-04T09:09:04.9643164Z >>> state = fsdp.state_dict() 2025-12-04T09:09:04.9643424Z >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0. 2025-12-04T09:09:04.9643751Z >>> # To reload checkpoint for inference, finetuning, transfer learning, etc: 2025-12-04T09:09:04.9644093Z >>> model = model_fn() # Initialize model in preparation for wrapping with FSDP 2025-12-04T09:09:04.9644365Z >>> if dist.get_rank() == 0: 2025-12-04T09:09:04.9644605Z >>> # Load checkpoint only on rank 0 to avoid memory redundancy 2025-12-04T09:09:04.9644880Z >>> state_dict = torch.load("my_checkpoint.pt") 2025-12-04T09:09:04.9645116Z >>> model.load_state_dict(state_dict) 2025-12-04T09:09:04.9645403Z >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument 2025-12-04T09:09:04.9645758Z >>> # communicates loaded checkpoint states from rank 0 to rest of the world. 2025-12-04T09:09:04.9646035Z >>> fsdp = FSDP( 2025-12-04T09:09:04.9646205Z ... model, 2025-12-04T09:09:04.9646400Z ... device_id=torch.cuda.current_device(), 2025-12-04T09:09:04.9646630Z ... auto_wrap_policy=..., 2025-12-04T09:09:04.9646827Z ... sync_module_states=True, 2025-12-04T09:09:04.9647020Z ... ) 2025-12-04T09:09:04.9647247Z >>> # After this point, all ranks have FSDP model with loaded checkpoint. 2025-12-04T09:09:04.9647434Z 2025-12-04T09:09:04.9647502Z Attributes: 2025-12-04T09:09:04.9647726Z rank0_only (bool): If ``True``, then only rank 0 saves the full state 2025-12-04T09:09:04.9648048Z dict, and nonzero ranks save an empty dict. If ``False``, then all 2025-12-04T09:09:04.9648341Z ranks save the full state dict. (Default: ``False``) 2025-12-04T09:09:04.9648502Z 2025-12-04T09:09:04.9648787Z Original Error: IndentationError("expected an indented block after 'if' statement on line 10", ('', 11, 1, '_._ = None\n', 11, 2)) 2025-12-04T09:09:04.9649125Z 2025-12-04T09:09:04.9649188Z _._ = None 2025-12-04T09:09:04.9649336Z ^ 2025-12-04T09:09:06.1227733Z msg = Cannot scrape callname=register_parametrization in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/parametrize.py line=437. 2025-12-04T09:09:06.1228734Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:09:06.1229264Z Register a parametrization to a tensor in a module. 2025-12-04T09:09:06.1229793Z 2025-12-04T09:09:06.1230072Z Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``, 2025-12-04T09:09:06.1230764Z the module will return the parametrized version ``parametrization(module.weight)``. 2025-12-04T09:09:06.1231448Z If the original tensor requires a gradient, the backward pass will differentiate 2025-12-04T09:09:06.1232113Z through :attr:`parametrization`, and the optimizer will update the tensor accordingly. 2025-12-04T09:09:06.1232532Z 2025-12-04T09:09:06.1232847Z The first time that a module registers a parametrization, this function will add an attribute 2025-12-04T09:09:06.1233940Z ``parametrizations`` to the module of type :class:`~ParametrizationList`. 2025-12-04T09:09:06.1234312Z 2025-12-04T09:09:06.1234634Z The list of parametrizations on the tensor ``weight`` will be accessible under 2025-12-04T09:09:06.1235142Z ``module.parametrizations.weight``. 2025-12-04T09:09:06.1235388Z 2025-12-04T09:09:06.1235535Z The original tensor will be accessible under 2025-12-04T09:09:06.1236072Z ``module.parametrizations.weight.original``. 2025-12-04T09:09:06.1236343Z 2025-12-04T09:09:06.1236621Z Parametrizations may be concatenated by registering several parametrizations 2025-12-04T09:09:06.1237123Z on the same attribute. 2025-12-04T09:09:06.1237311Z 2025-12-04T09:09:06.1237558Z The training mode of a registered parametrization is updated on registration 2025-12-04T09:09:06.1238062Z to match the training mode of the host module 2025-12-04T09:09:06.1238304Z 2025-12-04T09:09:06.1238627Z Parametrized parameters and buffers have an inbuilt caching system that can be activated 2025-12-04T09:09:06.1239181Z using the context manager :func:`cached`. 2025-12-04T09:09:06.1239423Z 2025-12-04T09:09:06.1239675Z A :attr:`parametrization` may optionally implement a method with signature 2025-12-04T09:09:06.1240045Z 2025-12-04T09:09:06.1240204Z .. code-block:: python 2025-12-04T09:09:06.1240388Z 2025-12-04T09:09:06.1240629Z def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]] 2025-12-04T09:09:06.1240960Z 2025-12-04T09:09:06.1241206Z This method is called on the unparametrized tensor when the first parametrization 2025-12-04T09:09:06.1241780Z is registered to compute the initial value of the original tensor. 2025-12-04T09:09:06.1242416Z If this method is not implemented, the original tensor will be just the unparametrized tensor. 2025-12-04T09:09:06.1242836Z 2025-12-04T09:09:06.1243171Z If all the parametrizations registered on a tensor implement `right_inverse` it is possible 2025-12-04T09:09:06.1243889Z to initialize a parametrized tensor by assigning to it, as shown in the example below. 2025-12-04T09:09:06.1244294Z 2025-12-04T09:09:06.1244527Z It is possible for the first parametrization to depend on several inputs. 2025-12-04T09:09:06.1245120Z This may be implemented returning a tuple of tensors from ``right_inverse`` 2025-12-04T09:09:06.1245707Z (see the example implementation of a ``RankOne`` parametrization below). 2025-12-04T09:09:06.1246059Z 2025-12-04T09:09:06.1246399Z In this case, the unconstrained tensors are also located under ``module.parametrizations.weight`` 2025-12-04T09:09:06.1247018Z with names ``original0``, ``original1``,... 2025-12-04T09:09:06.1247273Z 2025-12-04T09:09:06.1247509Z .. note:: 2025-12-04T09:09:06.1247648Z 2025-12-04T09:09:06.1247938Z If unsafe=False (default) both the forward and right_inverse methods will be called 2025-12-04T09:09:06.1248484Z once to perform a number of consistency checks. 2025-12-04T09:09:06.1249040Z If unsafe=True, then right_inverse will be called if the tensor is not parametrized, 2025-12-04T09:09:06.1249568Z and nothing will be called otherwise. 2025-12-04T09:09:06.1249798Z 2025-12-04T09:09:06.1249895Z .. note:: 2025-12-04T09:09:06.1250043Z 2025-12-04T09:09:06.1250251Z In most situations, ``right_inverse`` will be a function such that 2025-12-04T09:09:06.1250679Z ``forward(right_inverse(X)) == X`` (see 2025-12-04T09:09:06.1251237Z `right inverse `_). 2025-12-04T09:09:06.1251921Z Sometimes, when the parametrization is not surjective, it may be reasonable 2025-12-04T09:09:06.1252411Z to relax this. 2025-12-04T09:09:06.1252581Z 2025-12-04T09:09:06.1252701Z .. warning:: 2025-12-04T09:09:06.1252849Z 2025-12-04T09:09:06.1253192Z If a parametrization depends on several inputs, :func:`~register_parametrization` 2025-12-04T09:09:06.1254494Z will register a number of new parameters. If such parametrization is registered 2025-12-04T09:09:06.1255134Z after the optimizer is created, these new parameters will need to be added manually 2025-12-04T09:09:06.1255706Z to the optimizer. See :meth:`torch.Optimizer.add_param_group`. 2025-12-04T09:09:06.1256006Z 2025-12-04T09:09:06.1256089Z Args: 2025-12-04T09:09:06.1256420Z module (nn.Module): module on which to register the parametrization 2025-12-04T09:09:06.1257051Z tensor_name (str): name of the parameter or buffer on which to register 2025-12-04T09:09:06.1257488Z the parametrization 2025-12-04T09:09:06.1257885Z parametrization (nn.Module): the parametrization to register 2025-12-04T09:09:06.1258274Z Keyword args: 2025-12-04T09:09:06.1258634Z unsafe (bool): a boolean flag that denotes whether the parametrization 2025-12-04T09:09:06.1259139Z may change the dtype and shape of the tensor. Default: `False` 2025-12-04T09:09:06.1259706Z Warning: the parametrization is not checked for consistency upon registration. 2025-12-04T09:09:06.1260239Z Enable this flag at your own risk. 2025-12-04T09:09:06.1260524Z 2025-12-04T09:09:06.1260647Z Raises: 2025-12-04T09:09:06.1261201Z ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name` 2025-12-04T09:09:06.1261779Z 2025-12-04T09:09:06.1261895Z Examples: 2025-12-04T09:09:06.1262246Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK) 2025-12-04T09:09:06.1262631Z >>> import torch 2025-12-04T09:09:06.1262870Z >>> import torch.nn as nn 2025-12-04T09:09:06.1263162Z >>> import torch.nn.utils.parametrize as P 2025-12-04T09:09:06.1263438Z >>> 2025-12-04T09:09:06.1263662Z >>> class Symmetric(nn.Module): 2025-12-04T09:09:06.1263983Z >>> def forward(self, X): 2025-12-04T09:09:06.1264369Z >>> return X.triu() + X.triu(1).T # Return a symmetric matrix 2025-12-04T09:09:06.1264903Z >>> 2025-12-04T09:09:06.1265164Z >>> def right_inverse(self, A): 2025-12-04T09:09:06.1265489Z >>> return A.triu() 2025-12-04T09:09:06.1265767Z >>> 2025-12-04T09:09:06.1266007Z >>> m = nn.Linear(5, 5) 2025-12-04T09:09:06.1266374Z >>> P.register_parametrization(m, "weight", Symmetric()) 2025-12-04T09:09:06.1266955Z >>> print(torch.allclose(m.weight, m.weight.T)) # m.weight is now symmetric 2025-12-04T09:09:06.1267405Z True 2025-12-04T09:09:06.1267634Z >>> A = torch.rand(5, 5) 2025-12-04T09:09:06.1267921Z >>> A = A + A.T # A is now symmetric 2025-12-04T09:09:06.1268320Z >>> m.weight = A # Initialize the weight to be the symmetric matrix A 2025-12-04T09:09:06.1268739Z >>> print(torch.allclose(m.weight, A)) 2025-12-04T09:09:06.1269042Z True 2025-12-04T09:09:06.1269208Z 2025-12-04T09:09:06.1269365Z >>> class RankOne(nn.Module): 2025-12-04T09:09:06.1269826Z >>> def forward(self, x, y): 2025-12-04T09:09:06.1270231Z >>> # Form a rank 1 matrix multiplying two vectors 2025-12-04T09:09:06.1270579Z >>> return x.unsqueeze(-1) @ y.unsqueeze(-2) 2025-12-04T09:09:06.1270886Z >>> 2025-12-04T09:09:06.1271121Z >>> def right_inverse(self, Z): 2025-12-04T09:09:06.1271447Z >>> # Project Z onto the rank 1 matrices 2025-12-04T09:09:06.1271826Z >>> U, S, Vh = torch.linalg.svd(Z, full_matrices=False) 2025-12-04T09:09:06.1272194Z >>> # Return rescaled singular vectors 2025-12-04T09:09:06.1272553Z >>> s0_sqrt = S[0].sqrt().unsqueeze(-1) 2025-12-04T09:09:06.1272933Z >>> return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt 2025-12-04T09:09:06.1273286Z >>> 2025-12-04T09:09:06.1273576Z >>> linear_rank_one = P.register_parametrization( 2025-12-04T09:09:06.1273965Z ... nn.Linear(4, 4), "weight", RankOne() 2025-12-04T09:09:06.1274292Z ... ) 2025-12-04T09:09:06.1274823Z >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item()) 2025-12-04T09:09:06.1275237Z 1 2025-12-04T09:09:06.1275373Z 2025-12-04T09:09:06.1275458Z 2025-12-04T09:09:06.1276131Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 3, 0, '_._ = None\n', 3, -1)) 2025-12-04T09:09:06.1276867Z 2025-12-04T09:09:06.1276965Z _._ = None 2025-12-04T09:09:06.1277168Z ^ 2025-12-04T09:09:06.1986257Z msg = Cannot scrape callname=ReduceLROnPlateau in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py line=1586. 2025-12-04T09:09:06.1987388Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:09:06.1988035Z Reduce learning rate when a metric has stopped improving. 2025-12-04T09:09:06.1988370Z 2025-12-04T09:09:06.1988618Z Models often benefit from reducing the learning rate by a factor 2025-12-04T09:09:06.1989241Z of 2-10 once learning stagnates. This scheduler reads a metrics 2025-12-04T09:09:06.1989822Z quantity and if no improvement is seen for a 'patience' number 2025-12-04T09:09:06.1990333Z of epochs, the learning rate is reduced. 2025-12-04T09:09:06.1990605Z 2025-12-04T09:09:06.1990705Z Args: 2025-12-04T09:09:06.1991024Z optimizer (Optimizer): Wrapped optimizer. 2025-12-04T09:09:06.1991507Z mode (str): One of `min`, `max`. In `min` mode, lr will 2025-12-04T09:09:06.1992010Z be reduced when the quantity monitored has stopped 2025-12-04T09:09:06.1992526Z decreasing; in `max` mode it will be reduced when the 2025-12-04T09:09:06.1993074Z quantity monitored has stopped increasing. Default: 'min'. 2025-12-04T09:09:06.1993602Z factor (float): Factor by which the learning rate will be 2025-12-04T09:09:06.1994015Z reduced. new_lr = lr * factor. Default: 0.1. 2025-12-04T09:09:06.1994473Z patience (int): The number of allowed epochs with no improvement after 2025-12-04T09:09:06.1994917Z which the learning rate will be reduced. 2025-12-04T09:09:06.1995360Z For example, consider the case of having no patience (`patience = 0`). 2025-12-04T09:09:06.1996050Z In the first epoch, a baseline is established and is always considered good as there's no previous baseline. 2025-12-04T09:09:06.1996731Z In the second epoch, if the performance is worse than the baseline, 2025-12-04T09:09:06.1997207Z we have what is considered an intolerable epoch. 2025-12-04T09:09:06.1997724Z Since the count of intolerable epochs (1) is greater than the patience level (0), 2025-12-04T09:09:06.1998256Z the learning rate is reduced at the end of this epoch. 2025-12-04T09:09:06.1998832Z From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch 2025-12-04T09:09:06.1999541Z if the performance is worse than the baseline. If the performance improves or remains the same, 2025-12-04T09:09:06.2000072Z the learning rate is not adjusted. 2025-12-04T09:09:06.2000419Z Default: 10. 2025-12-04T09:09:06.2000785Z threshold (float): Threshold for measuring the new optimum, 2025-12-04T09:09:06.2001234Z to only focus on significant changes. Default: 1e-4. 2025-12-04T09:09:06.2001692Z threshold_mode (str): One of `rel`, `abs`. In `rel` mode, 2025-12-04T09:09:06.2002141Z dynamic_threshold = best * ( 1 + threshold ) in 'max' 2025-12-04T09:09:06.2002538Z mode or best * ( 1 - threshold ) in `min` mode. 2025-12-04T09:09:06.2002933Z In `abs` mode, dynamic_threshold = best + threshold in 2025-12-04T09:09:06.2003367Z `max` mode or best - threshold in `min` mode. Default: 'rel'. 2025-12-04T09:09:06.2003828Z cooldown (int): Number of epochs to wait before resuming 2025-12-04T09:09:06.2004262Z normal operation after lr has been reduced. Default: 0. 2025-12-04T09:09:06.2005006Z min_lr (float or list): A scalar or a list of scalars. A 2025-12-04T09:09:06.2005450Z lower bound on the learning rate of all param groups 2025-12-04T09:09:06.2005886Z or each group respectively. Default: 0. 2025-12-04T09:09:06.2006328Z eps (float): Minimal decay applied to lr. If the difference 2025-12-04T09:09:06.2006800Z between new and old lr is smaller than eps, the update is 2025-12-04T09:09:06.2007323Z ignored. Default: 1e-8. 2025-12-04T09:09:06.2007532Z 2025-12-04T09:09:06.2007622Z Example: 2025-12-04T09:09:06.2007870Z >>> # xdoctest: +SKIP 2025-12-04T09:09:06.2008304Z >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9) 2025-12-04T09:09:06.2008803Z >>> scheduler = ReduceLROnPlateau(optimizer, "min") 2025-12-04T09:09:06.2009187Z >>> for epoch in range(10): 2025-12-04T09:09:06.2009483Z >>> train(...) 2025-12-04T09:09:06.2009763Z >>> val_loss = validate(...) 2025-12-04T09:09:06.2010112Z >>> # Note that step should be called after validate() 2025-12-04T09:09:06.2010471Z >>> scheduler.step(val_loss) 2025-12-04T09:09:06.2010681Z 2025-12-04T09:09:06.2011046Z .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png 2025-12-04T09:09:06.2011439Z 2025-12-04T09:09:06.2012030Z Original Error: IndentationError('unexpected indent', ('', 8, 4, ' scheduler.step(val_loss)\n', 8, -1)) 2025-12-04T09:09:06.2012612Z 2025-12-04T09:09:06.2012741Z scheduler.step(val_loss) 2025-12-04T09:09:06.2013036Z ^ 2025-12-04T09:09:07.8490477Z running 894 test(s) 2025-12-04T09:09:07.8500612Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::typename:0, line 1111 <- wrt source file 2025-12-04T09:09:07.8506415Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::typename:0 2025-12-04T09:09:07.8507093Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::is_tensor:0, line 1142 <- wrt source file 2025-12-04T09:09:07.8512220Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::is_tensor:0 2025-12-04T09:09:07.8512993Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::is_storage:0, line 1157 <- wrt source file 2025-12-04T09:09:07.8515777Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::is_storage:0 2025-12-04T09:09:07.8516604Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::set_default_device:0, line 1247 <- wrt source file 2025-12-04T09:09:07.8517474Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::set_default_device:0 2025-12-04T09:09:07.8518222Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::set_default_tensor_type:0, line 1296 <- wrt source file 2025-12-04T09:09:07.8518998Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::set_default_tensor_type:0 2025-12-04T09:09:07.8519686Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::set_default_dtype:0, line 1333 <- wrt source file 2025-12-04T09:09:07.8521708Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::set_default_dtype:0 2025-12-04T09:09:07.8522969Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::use_deterministic_algorithms:0, line 1497 <- wrt source file 2025-12-04T09:09:07.8523738Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::use_deterministic_algorithms:0 2025-12-04T09:09:07.8524673Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::compile:0, line 2655 <- wrt source file 2025-12-04T09:09:07.8525355Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::compile:0 2025-12-04T09:09:07.8526026Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0, line 2963 <- wrt source file 2025-12-04T09:09:07.8526906Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0 2025-12-04T09:09:07.8527740Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_C.cpython-313-x86_64-linux-gnu.so::Generator:0, line 15 <- wrt source file 2025-12-04T09:09:07.8528774Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_C.cpython-313-x86_64-linux-gnu.so::Generator:0 2025-12-04T09:09:07.8529787Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_C.cpython-313-x86_64-linux-gnu.so::_LinAlgError:0, line 5 <- wrt source file 2025-12-04T09:09:07.8530563Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_C.cpython-313-x86_64-linux-gnu.so::_LinAlgError:0 2025-12-04T09:09:07.8531250Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_custom_ops.py::custom_op:0, line 55 <- wrt source file 2025-12-04T09:09:07.8531946Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_custom_ops.py::custom_op:0 2025-12-04T09:09:07.8532626Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_custom_ops.py::impl:0, line 138 <- wrt source file 2025-12-04T09:09:07.8533321Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_custom_ops.py::impl:0 2025-12-04T09:09:07.8534008Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_custom_ops.py::impl_abstract:0, line 208 <- wrt source file 2025-12-04T09:09:07.8758683Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_custom_ops.py::impl_abstract:0 2025-12-04T09:09:07.8759625Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_namedtensor_internals.py::update_names:0, line 118 <- wrt source file 2025-12-04T09:09:07.8760477Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_namedtensor_internals.py::update_names:0 2025-12-04T09:09:07.8761256Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.register_hook:0, line 681 <- wrt source file 2025-12-04T09:09:07.8768341Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.register_hook:0 2025-12-04T09:09:07.8769032Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0, line 738 <- wrt source file 2025-12-04T09:09:07.8787468Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0 2025-12-04T09:09:07.8788219Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.refine_names:0, line 1374 <- wrt source file 2025-12-04T09:09:07.8869871Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.refine_names:0 2025-12-04T09:09:07.8872242Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.align_to:0, line 1419 <- wrt source file 2025-12-04T09:09:07.8875846Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.align_to:0 2025-12-04T09:09:07.8876456Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.rename:0, line 1492 <- wrt source file 2025-12-04T09:09:07.8881807Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.rename:0 2025-12-04T09:09:07.8882443Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0, line 1522 <- wrt source file 2025-12-04T09:09:07.8908012Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0 2025-12-04T09:09:07.8909108Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.dim_order:0, line 1554 <- wrt source file 2025-12-04T09:09:07.8922660Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.dim_order:0 2025-12-04T09:09:07.8923596Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor_str.py::set_printoptions:0, line 53 <- wrt source file 2025-12-04T09:09:07.8937369Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor_str.py::set_printoptions:0 2025-12-04T09:09:07.8938598Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::broadcast_tensors:0, line 64 <- wrt source file 2025-12-04T09:09:07.8944120Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::broadcast_tensors:0 2025-12-04T09:09:07.8945161Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::broadcast_shapes:0, line 92 <- wrt source file 2025-12-04T09:09:07.8947647Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::broadcast_shapes:0 2025-12-04T09:09:07.8948692Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::split:0, line 144 <- wrt source file 2025-12-04T09:09:07.8956431Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::split:0 2025-12-04T09:09:07.8957352Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::einsum:0, line 258 <- wrt source file 2025-12-04T09:09:07.8981070Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::einsum:0 2025-12-04T09:09:07.8982028Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::meshgrid:0, line 450 <- wrt source file 2025-12-04T09:09:07.9004790Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::meshgrid:0 2025-12-04T09:09:07.9005774Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::_unique_impl:0, line 835 <- wrt source file 2025-12-04T09:09:07.9082611Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::_unique_impl:0 2025-12-04T09:09:07.9083645Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::_unique_consecutive_impl:0, line 992 <- wrt source file 2025-12-04T09:09:07.9091294Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::_unique_consecutive_impl:0 2025-12-04T09:09:07.9092375Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::tensordot:0, line 1267 <- wrt source file 2025-12-04T09:09:07.9100796Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::tensordot:0 2025-12-04T09:09:07.9101805Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::cartesian_prod:0, line 1351 <- wrt source file 2025-12-04T09:09:07.9107554Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::cartesian_prod:0 2025-12-04T09:09:07.9109352Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::block_diag:0, line 1385 <- wrt source file 2025-12-04T09:09:07.9115687Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::block_diag:0 2025-12-04T09:09:07.9116601Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::cdist:0, line 1441 <- wrt source file 2025-12-04T09:09:07.9126221Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::cdist:0 2025-12-04T09:09:07.9127133Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::atleast_1d:0, line 1482 <- wrt source file 2025-12-04T09:09:07.9138847Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::atleast_1d:0 2025-12-04T09:09:07.9139947Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::atleast_2d:0, line 1520 <- wrt source file 2025-12-04T09:09:07.9152614Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::atleast_2d:0 2025-12-04T09:09:07.9153589Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::atleast_3d:0, line 1560 <- wrt source file 2025-12-04T09:09:07.9168100Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::atleast_3d:0 2025-12-04T09:09:07.9198753Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::norm:0, line 1735 <- wrt source file 2025-12-04T09:09:07.9199718Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::norm:0 2025-12-04T09:09:07.9200667Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::unravel_index:0, line 1905 <- wrt source file 2025-12-04T09:09:07.9217694Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::unravel_index:0 2025-12-04T09:09:07.9218644Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::chain_matmul:0, line 2005 <- wrt source file 2025-12-04T09:09:07.9219601Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::chain_matmul:0 2025-12-04T09:09:07.9220510Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::_lu_impl:0, line 2106 <- wrt source file 2025-12-04T09:09:07.9221438Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::_lu_impl:0 2025-12-04T09:09:07.9222290Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py::list:0, line 477 <- wrt source file 2025-12-04T09:09:07.9223144Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py::list:0 2025-12-04T09:09:07.9223996Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py::help:0, line 537 <- wrt source file 2025-12-04T09:09:07.9224832Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py::help:0 2025-12-04T09:09:07.9225738Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py::load:0, line 628 <- wrt source file 2025-12-04T09:09:07.9226662Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py::load:0 2025-12-04T09:09:07.9227617Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py::_load_local:0, line 676 <- wrt source file 2025-12-04T09:09:07.9228524Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py::_load_local:0 2025-12-04T09:09:07.9229533Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py::download_url_to_file:0, line 711 <- wrt source file 2025-12-04T09:09:07.9230575Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py::download_url_to_file:0 2025-12-04T09:09:07.9231486Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py::load_state_dict_from_url:0, line 852 <- wrt source file 2025-12-04T09:09:07.9232428Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py::load_state_dict_from_url:0 2025-12-04T09:09:07.9233429Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::Library.define:0, line 145 <- wrt source file 2025-12-04T09:09:07.9234327Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::Library.define:0 2025-12-04T09:09:07.9235290Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::Library._impl_with_aoti_compile:0, line 239 <- wrt source file 2025-12-04T09:09:07.9236343Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::Library._impl_with_aoti_compile:0 2025-12-04T09:09:07.9237298Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::Library.impl:0, line 300 <- wrt source file 2025-12-04T09:09:07.9240175Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::Library.impl:0 2025-12-04T09:09:07.9241024Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::define:0, line 521 <- wrt source file 2025-12-04T09:09:07.9281862Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::define:0 2025-12-04T09:09:07.9282705Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::impl:0, line 627 <- wrt source file 2025-12-04T09:09:07.9295563Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::impl:0 2025-12-04T09:09:07.9296462Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::register_kernel:0, line 809 <- wrt source file 2025-12-04T09:09:07.9297407Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::register_kernel:0 2025-12-04T09:09:07.9298345Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::register_autocast:0, line 877 <- wrt source file 2025-12-04T09:09:07.9299323Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::register_autocast:0 2025-12-04T09:09:07.9300254Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::register_autograd:0, line 1164 <- wrt source file 2025-12-04T09:09:07.9426945Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::register_autograd:0 2025-12-04T09:09:07.9428021Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::register_torch_dispatch:0, line 1280 <- wrt source file 2025-12-04T09:09:07.9489624Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::register_torch_dispatch:0 2025-12-04T09:09:07.9490622Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::register_vmap:0, line 1369 <- wrt source file 2025-12-04T09:09:07.9620695Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::register_vmap:0 2025-12-04T09:09:07.9621701Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::opcheck:0, line 1694 <- wrt source file 2025-12-04T09:09:07.9622682Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::opcheck:0 2025-12-04T09:09:07.9623911Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::get_ignored_functions:0, line 117 <- wrt source file 2025-12-04T09:09:07.9627718Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::get_ignored_functions:0 2025-12-04T09:09:07.9628808Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::get_testing_overrides:0, line 435 <- wrt source file 2025-12-04T09:09:07.9651921Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::get_testing_overrides:0 2025-12-04T09:09:07.9653030Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::wrap_torch_function:0, line 1589 <- wrt source file 2025-12-04T09:09:07.9655402Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::wrap_torch_function:0 2025-12-04T09:09:07.9656391Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::handle_torch_function:0, line 1725 <- wrt source file 2025-12-04T09:09:07.9658187Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::handle_torch_function:0 2025-12-04T09:09:07.9659214Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::is_tensor_method_or_property:0, line 1974 <- wrt source file 2025-12-04T09:09:07.9678357Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::is_tensor_method_or_property:0 2025-12-04T09:09:07.9679360Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::is_tensor_like:0, line 1993 <- wrt source file 2025-12-04T09:09:07.9685159Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::is_tensor_like:0 2025-12-04T09:09:07.9686390Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/quasirandom.py::SobolEngine:0, line 39 <- wrt source file 2025-12-04T09:09:07.9687361Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/quasirandom.py::SobolEngine:0 2025-12-04T09:09:07.9688319Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py::add_safe_globals:0, line 300 <- wrt source file 2025-12-04T09:09:07.9689308Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py::add_safe_globals:0 2025-12-04T09:09:07.9690282Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py::safe_globals:0, line 325 <- wrt source file 2025-12-04T09:09:07.9691260Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py::safe_globals:0 2025-12-04T09:09:07.9692274Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py::skip_data:0, line 401 <- wrt source file 2025-12-04T09:09:07.9693316Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py::skip_data:0 2025-12-04T09:09:07.9694310Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py::register_package:0, line 473 <- wrt source file 2025-12-04T09:09:07.9695355Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py::register_package:0 2025-12-04T09:09:07.9696320Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py::save:0, line 960 <- wrt source file 2025-12-04T09:09:07.9697270Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py::save:0 2025-12-04T09:09:07.9698194Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py::load:0, line 1379 <- wrt source file 2025-12-04T09:09:07.9699300Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py::load:0 2025-12-04T09:09:07.9700278Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/torch_version.py::TorchVersion:0, line 19 <- wrt source file 2025-12-04T09:09:07.9701303Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/torch_version.py::TorchVersion:0 2025-12-04T09:09:07.9702293Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/__init__.py::list_mode_options:0, line 349 <- wrt source file 2025-12-04T09:09:07.9703363Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/__init__.py::list_mode_options:0 2025-12-04T09:09:07.9704347Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/__init__.py::list_options:0, line 388 <- wrt source file 2025-12-04T09:09:07.9714328Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/__init__.py::list_options:0 2025-12-04T09:09:07.9715401Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_prims_common/__init__.py::compute_required_storage_length:0, line 1911 <- wrt source file 2025-12-04T09:09:07.9718701Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_prims_common/__init__.py::compute_required_storage_length:0 2025-12-04T09:09:07.9719811Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/accelerator/__init__.py::current_accelerator:0, line 117 <- wrt source file 2025-12-04T09:09:07.9723673Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/accelerator/__init__.py::current_accelerator:0 2025-12-04T09:09:07.9724854Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/accelerator/__init__.py::get_device_capability:0, line 171 <- wrt source file 2025-12-04T09:09:07.9725946Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/accelerator/__init__.py::get_device_capability:0 2025-12-04T09:09:07.9726970Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/accelerator/__init__.py::device_index:0, line 276 <- wrt source file 2025-12-04T09:09:07.9727980Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/accelerator/__init__.py::device_index:0 2025-12-04T09:09:07.9728979Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::allow_in_graph:0, line 130 <- wrt source file 2025-12-04T09:09:07.9730129Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::allow_in_graph:0 2025-12-04T09:09:07.9731172Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::substitute_in_graph:0, line 186 <- wrt source file 2025-12-04T09:09:08.1862143Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::substitute_in_graph:0 2025-12-04T09:09:08.1863161Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::wrap_numpy:0, line 416 <- wrt source file 2025-12-04T09:09:08.1864104Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::wrap_numpy:0 2025-12-04T09:09:08.1865312Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::is_compiling:0, line 448 <- wrt source file 2025-12-04T09:09:08.1866362Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::is_compiling:0 2025-12-04T09:09:08.1867291Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0, line 469 <- wrt source file 2025-12-04T09:09:08.1868784Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0 2025-12-04T09:09:08.1869578Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::is_exporting:0, line 487 <- wrt source file 2025-12-04T09:09:08.1870543Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::is_exporting:0 2025-12-04T09:09:08.1871526Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0, line 502 <- wrt source file 2025-12-04T09:09:08.1872334Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0 2025-12-04T09:09:08.1873162Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0, line 522 <- wrt source file 2025-12-04T09:09:08.1874043Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0 2025-12-04T09:09:08.1874891Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/__init__.py::_compile_kernel:0, line 1788 <- wrt source file 2025-12-04T09:09:08.1875691Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/__init__.py::_compile_kernel:0 2025-12-04T09:09:08.1876352Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/export/__init__.py::save:0, line 349 <- wrt source file 2025-12-04T09:09:08.1876962Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/export/__init__.py::save:0 2025-12-04T09:09:08.1877555Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/export/__init__.py::load:0, line 422 <- wrt source file 2025-12-04T09:09:08.1878168Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/export/__init__.py::load:0 2025-12-04T09:09:08.1878805Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/export/__init__.py::register_dataclass:0, line 581 <- wrt source file 2025-12-04T09:09:08.1879486Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/export/__init__.py::register_dataclass:0 2025-12-04T09:09:08.1880148Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/futures/__init__.py::Future.then:0, line 152 <- wrt source file 2025-12-04T09:09:08.1880800Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/futures/__init__.py::Future.then:0 2025-12-04T09:09:08.1881477Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/futures/__init__.py::Future.add_done_callback:0, line 201 <- wrt source file 2025-12-04T09:09:08.1882189Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/futures/__init__.py::Future.add_done_callback:0 2025-12-04T09:09:08.1882880Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/futures/__init__.py::Future.set_result:0, line 235 <- wrt source file 2025-12-04T09:09:08.1883579Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/futures/__init__.py::Future.set_result:0 2025-12-04T09:09:08.1884255Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/futures/__init__.py::Future.set_exception:0, line 265 <- wrt source file 2025-12-04T09:09:08.1885041Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/futures/__init__.py::Future.set_exception:0 2025-12-04T09:09:08.1885876Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/futures/__init__.py::collect_all:0, line 299 <- wrt source file 2025-12-04T09:09:08.1886636Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/futures/__init__.py::collect_all:0 2025-12-04T09:09:08.1887282Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/jit/__init__.py::annotate:0, line 147 <- wrt source file 2025-12-04T09:09:08.1887920Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/jit/__init__.py::annotate:0 2025-12-04T09:09:08.1888601Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0, line 22 <- wrt source file 2025-12-04T09:09:08.1889409Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0 2025-12-04T09:09:08.1890097Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/mps/__init__.py::compile_shader:0, line 148 <- wrt source file 2025-12-04T09:09:08.1890765Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/mps/__init__.py::compile_shader:0 2025-12-04T09:09:08.1891423Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nested/__init__.py::as_nested_tensor:0, line 61 <- wrt source file 2025-12-04T09:09:08.1981288Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nested/__init__.py::as_nested_tensor:0 2025-12-04T09:09:08.1982434Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nested/__init__.py::nested_tensor:0, line 240 <- wrt source file 2025-12-04T09:09:08.1985314Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nested/__init__.py::nested_tensor:0 2025-12-04T09:09:08.1986398Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nested/__init__.py::narrow:0, line 315 <- wrt source file 2025-12-04T09:09:08.2036140Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nested/__init__.py::narrow:0 2025-12-04T09:09:08.2037166Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0, line 405 <- wrt source file 2025-12-04T09:09:08.2043036Z W1204 09:09:08.203000 1058 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. 2025-12-04T09:09:08.2057413Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0 2025-12-04T09:09:08.2058498Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nested/__init__.py::masked_select:0, line 481 <- wrt source file 2025-12-04T09:09:08.2073494Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nested/__init__.py::masked_select:0 2025-12-04T09:09:08.2074504Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/sparse/__init__.py::sum:0, line 223 <- wrt source file 2025-12-04T09:09:08.2098445Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/sparse/__init__.py::sum:0 2025-12-04T09:09:08.2099500Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0, line 475 <- wrt source file 2025-12-04T09:09:08.2112599Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0 2025-12-04T09:09:08.2113699Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0, line 561 <- wrt source file 2025-12-04T09:09:08.2174996Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0 2025-12-04T09:09:08.2176313Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0, line 361 <- wrt source file 2025-12-04T09:09:08.2180452Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0 2025-12-04T09:09:08.2181813Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0, line 328 <- wrt source file 2025-12-04T09:09:08.2183527Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0 2025-12-04T09:09:08.2185108Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_dynamo/variables/higher_order_ops.py::speculate_subgraph_with_auto_output_flattening:0, line 1316 <- wrt source file 2025-12-04T09:09:08.2186962Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_dynamo/variables/higher_order_ops.py::speculate_subgraph_with_auto_output_flattening:0 2025-12-04T09:09:08.2188389Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0, line 1441 <- wrt source file 2025-12-04T09:09:08.2189734Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0 2025-12-04T09:09:08.2191154Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_export/wrappers.py::mark_subclass_constructor_exportable_experimental:0, line 194 <- wrt source file 2025-12-04T09:09:08.2192615Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_export/wrappers.py::mark_subclass_constructor_exportable_experimental:0 2025-12-04T09:09:08.2193908Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_export/wrappers.py::allow_in_pre_dispatch_graph:0, line 262 <- wrt source file 2025-12-04T09:09:08.2195142Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_export/wrappers.py::allow_in_pre_dispatch_graph:0 2025-12-04T09:09:08.2196250Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/aot_autograd.py::aot_function:0, line 771 <- wrt source file 2025-12-04T09:09:08.2440906Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/aot_autograd.py::aot_function:0 2025-12-04T09:09:08.2442242Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0, line 184 <- wrt source file 2025-12-04T09:09:08.2443606Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0 2025-12-04T09:09:08.2444870Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::vjp:0, line 234 <- wrt source file 2025-12-04T09:09:08.2512253Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::vjp:0 2025-12-04T09:09:08.2513469Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::jacrev:0, line 476 <- wrt source file 2025-12-04T09:09:08.2585412Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::jacrev:0 2025-12-04T09:09:08.2586684Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::jvp:0, line 1024 <- wrt source file 2025-12-04T09:09:08.3001442Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::jvp:0 2025-12-04T09:09:08.3002766Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0, line 1182 <- wrt source file 2025-12-04T09:09:08.3048815Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0 2025-12-04T09:09:08.3049835Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::hessian:0, line 1342 <- wrt source file 2025-12-04T09:09:08.3063858Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::hessian:0 2025-12-04T09:09:08.3065036Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::functionalize:0, line 1506 <- wrt source file 2025-12-04T09:09:08.3068140Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::functionalize:0 2025-12-04T09:09:08.3069222Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::linearize:0, line 1705 <- wrt source file 2025-12-04T09:09:08.3216607Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::linearize:0 2025-12-04T09:09:08.3217779Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/functional_call.py::functional_call:0, line 36 <- wrt source file 2025-12-04T09:09:08.3221074Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/functional_call.py::functional_call:0 2025-12-04T09:09:08.3222210Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/fx_minifier.py::minifier:0, line 194 <- wrt source file 2025-12-04T09:09:08.3223347Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/fx_minifier.py::minifier:0 2025-12-04T09:09:08.3224545Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/_aot_autograd/schemas.py::CompilerWrapper.post_compile:0, line 1111 <- wrt source file 2025-12-04T09:09:08.3226030Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/_aot_autograd/schemas.py::CompilerWrapper.post_compile:0 2025-12-04T09:09:08.3227351Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/_aot_autograd/schemas.py::InductorWrapper.post_compile:0, line 1166 <- wrt source file 2025-12-04T09:09:08.3228661Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/_aot_autograd/schemas.py::InductorWrapper.post_compile:0 2025-12-04T09:09:08.3230018Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0, line 183 <- wrt source file 2025-12-04T09:09:08.3231254Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0 2025-12-04T09:09:08.3232471Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0, line 319 <- wrt source file 2025-12-04T09:09:08.3233752Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0 2025-12-04T09:09:08.3234847Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/cond.py::cond:0, line 139 <- wrt source file 2025-12-04T09:09:08.3235845Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/cond.py::cond:0 2025-12-04T09:09:08.3236895Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/flat_apply.py::FlatApply.__call__:0, line 80 <- wrt source file 2025-12-04T09:09:08.3238140Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/flat_apply.py::FlatApply.__call__:0 2025-12-04T09:09:08.3239177Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/map.py::map:0, line 80 <- wrt source file 2025-12-04T09:09:08.3240129Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/map.py::map:0 2025-12-04T09:09:08.3241343Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/partitioner.py::HopPartitionedGraph._reorder_fw_output:0, line 133 <- wrt source file 2025-12-04T09:09:08.3242666Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/partitioner.py::HopPartitionedGraph._reorder_fw_output:0 2025-12-04T09:09:08.3243782Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/scan.py::scan:0, line 130 <- wrt source file 2025-12-04T09:09:08.3244740Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/scan.py::scan:0 2025-12-04T09:09:08.3245734Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/codecache.py::WritableTempFile:0, line 385 <- wrt source file 2025-12-04T09:09:08.3246812Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/codecache.py::WritableTempFile:0 2025-12-04T09:09:08.3247932Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/cpp_builder.py::get_name_and_dir_from_output_file_path:0, line 1845 <- wrt source file 2025-12-04T09:09:08.3249157Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/cpp_builder.py::get_name_and_dir_from_output_file_path:0 2025-12-04T09:09:08.3250307Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/select_algorithm.py::add_preprocessing_fn:0, line 4328 <- wrt source file 2025-12-04T09:09:08.3251465Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/select_algorithm.py::add_preprocessing_fn:0 2025-12-04T09:09:08.3252659Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/fx_passes/graph_view.py::_clean_stack_name:0, line 100 <- wrt source file 2025-12-04T09:09:08.3253859Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/fx_passes/graph_view.py::_clean_stack_name:0 2025-12-04T09:09:08.3254964Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/kernel/custom_op.py::CustomOpConfig:0, line 56 <- wrt source file 2025-12-04T09:09:08.3256054Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/kernel/custom_op.py::CustomOpConfig:0 2025-12-04T09:09:08.3257195Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/kernel/custom_op.py::register_custom_op_autotuning:0, line 423 <- wrt source file 2025-12-04T09:09:08.3258380Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/kernel/custom_op.py::register_custom_op_autotuning:0 2025-12-04T09:09:08.3259555Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_lock_with_timeout:0, line 69 <- wrt source file 2025-12-04T09:09:08.3260730Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_lock_with_timeout:0 2025-12-04T09:09:08.3261920Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_lock_with_timeout:0, line 105 <- wrt source file 2025-12-04T09:09:08.3263195Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_lock_with_timeout:0 2025-12-04T09:09:08.3264400Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_flock_with_timeout:0, line 142 <- wrt source file 2025-12-04T09:09:08.3265849Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_flock_with_timeout:0 2025-12-04T09:09:08.3267106Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_flock_with_timeout:0, line 179 <- wrt source file 2025-12-04T09:09:08.3268337Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_flock_with_timeout:0 2025-12-04T09:09:08.3269557Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/template_heuristics/registry.py::register_template_heuristic:0, line 54 <- wrt source file 2025-12-04T09:09:08.3270806Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/template_heuristics/registry.py::register_template_heuristic:0 2025-12-04T09:09:08.3271881Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::custom_op:0, line 101 <- wrt source file 2025-12-04T09:09:08.3526754Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::custom_op:0 2025-12-04T09:09:08.3527798Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0, line 241 <- wrt source file 2025-12-04T09:09:08.3600376Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0 2025-12-04T09:09:08.3601591Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0, line 310 <- wrt source file 2025-12-04T09:09:08.3602741Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0 2025-12-04T09:09:08.3603869Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0, line 549 <- wrt source file 2025-12-04T09:09:08.3745998Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0 2025-12-04T09:09:08.3747227Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0, line 724 <- wrt source file 2025-12-04T09:09:08.3884034Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0 2025-12-04T09:09:08.3885410Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0, line 810 <- wrt source file 2025-12-04T09:09:08.3886858Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0 2025-12-04T09:09:08.3888246Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0, line 273 <- wrt source file 2025-12-04T09:09:08.3889600Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0 2025-12-04T09:09:08.3890871Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0, line 175 <- wrt source file 2025-12-04T09:09:08.3951178Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0 2025-12-04T09:09:08.3952479Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/infer_schema.py::infer_schema:0, line 53 <- wrt source file 2025-12-04T09:09:08.3957245Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/infer_schema.py::infer_schema:0 2025-12-04T09:09:08.3958665Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/triton.py::triton_op:0, line 136 <- wrt source file 2025-12-04T09:09:08.3959857Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/triton.py::triton_op:0 2025-12-04T09:09:08.3960953Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/triton.py::wrap_triton:0, line 307 <- wrt source file 2025-12-04T09:09:08.3962097Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/triton.py::wrap_triton:0 2025-12-04T09:09:08.3963113Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_logging/_internal.py::set_logs:0, line 460 <- wrt source file 2025-12-04T09:09:08.3964255Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_logging/_internal.py::set_logs:0 2025-12-04T09:09:08.3965354Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_equal:0, line 171 <- wrt source file 2025-12-04T09:09:08.3991858Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_equal:0 2025-12-04T09:09:08.3992965Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::print_assert_equal:0, line 302 <- wrt source file 2025-12-04T09:09:08.3994088Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::print_assert_equal:0 2025-12-04T09:09:08.3995158Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_almost_equal:0, line 375 <- wrt source file 2025-12-04T09:09:08.4022227Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_almost_equal:0 2025-12-04T09:09:08.4023319Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_approx_equal:0, line 496 <- wrt source file 2025-12-04T09:09:08.4025694Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_approx_equal:0 2025-12-04T09:09:08.4026848Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_array_equal:0, line 793 <- wrt source file 2025-12-04T09:09:08.4075513Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_array_equal:0 2025-12-04T09:09:08.4076705Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal:0, line 899 <- wrt source file 2025-12-04T09:09:08.4114598Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal:0 2025-12-04T09:09:08.4115756Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0, line 1008 <- wrt source file 2025-12-04T09:09:08.4149136Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0 2025-12-04T09:09:08.4150506Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0, line 1073 <- wrt source file 2025-12-04T09:09:08.4151662Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0 2025-12-04T09:09:08.4152784Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0, line 1294 <- wrt source file 2025-12-04T09:09:08.4163506Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0 2025-12-04T09:09:08.4164217Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0, line 1360 <- wrt source file 2025-12-04T09:09:08.4166927Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0 2025-12-04T09:09:08.4167659Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0, line 1423 <- wrt source file 2025-12-04T09:09:08.4170366Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0 2025-12-04T09:09:08.4171105Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0, line 1468 <- wrt source file 2025-12-04T09:09:08.4171767Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0 2025-12-04T09:09:08.4172497Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_warns:0, line 1578 <- wrt source file 2025-12-04T09:09:08.4175792Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_warns:0 2025-12-04T09:09:08.4176485Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::clear_and_catch_warnings:0, line 1881 <- wrt source file 2025-12-04T09:09:08.4177596Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::clear_and_catch_warnings:0 2025-12-04T09:09:08.4178380Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_prims/context.py::TorchRefsMode:0, line 95 <- wrt source file 2025-12-04T09:09:08.4179220Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_prims/context.py::TorchRefsMode:0 2025-12-04T09:09:08.4180097Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_subclasses/complex_tensor/_ops/common.py::is_complex_tensor:0, line 47 <- wrt source file 2025-12-04T09:09:08.4181283Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_subclasses/complex_tensor/_ops/common.py::is_complex_tensor:0 2025-12-04T09:09:08.4182340Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/amp/grad_scaler.py::GradScaler:0, line 64 <- wrt source file 2025-12-04T09:09:08.4183289Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/amp/grad_scaler.py::GradScaler:0 2025-12-04T09:09:08.4184075Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0, line 34 <- wrt source file 2025-12-04T09:09:08.4185012Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0 2025-12-04T09:09:08.4185977Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0, line 24 <- wrt source file 2025-12-04T09:09:08.4186962Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0 2025-12-04T09:09:08.4187796Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0, line 25 <- wrt source file 2025-12-04T09:09:08.4188631Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0 2025-12-04T09:09:08.4189497Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0, line 67 <- wrt source file 2025-12-04T09:09:08.4190361Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0 2025-12-04T09:09:08.4191179Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0, line 142 <- wrt source file 2025-12-04T09:09:08.4192016Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0 2025-12-04T09:09:08.4192770Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0, line 29 <- wrt source file 2025-12-04T09:09:08.4218425Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0 2025-12-04T09:09:08.4219272Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0, line 413 <- wrt source file 2025-12-04T09:09:08.4240797Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0 2025-12-04T09:09:08.4241900Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0, line 210 <- wrt source file 2025-12-04T09:09:08.4242919Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0 2025-12-04T09:09:08.4243671Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0, line 282 <- wrt source file 2025-12-04T09:09:08.4244383Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0 2025-12-04T09:09:08.4245063Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0, line 358 <- wrt source file 2025-12-04T09:09:08.4245765Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0 2025-12-04T09:09:08.4246480Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0, line 95 <- wrt source file 2025-12-04T09:09:08.4248267Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0 2025-12-04T09:09:08.4249012Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0, line 145 <- wrt source file 2025-12-04T09:09:08.4252368Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0 2025-12-04T09:09:08.4253552Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0, line 43 <- wrt source file 2025-12-04T09:09:08.4254770Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0 2025-12-04T09:09:08.4256029Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0, line 126 <- wrt source file 2025-12-04T09:09:08.4257206Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0 2025-12-04T09:09:08.4258282Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0, line 212 <- wrt source file 2025-12-04T09:09:08.4259454Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0 2025-12-04T09:09:08.4260214Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0, line 300 <- wrt source file 2025-12-04T09:09:08.4261024Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0 2025-12-04T09:09:08.4261944Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0, line 383 <- wrt source file 2025-12-04T09:09:08.4263012Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0 2025-12-04T09:09:08.4263965Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0, line 466 <- wrt source file 2025-12-04T09:09:08.4265148Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0 2025-12-04T09:09:08.4266288Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0, line 30 <- wrt source file 2025-12-04T09:09:08.4267119Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0 2025-12-04T09:09:08.4267847Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0, line 516 <- wrt source file 2025-12-04T09:09:08.4268568Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0 2025-12-04T09:09:08.4269269Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0, line 803 <- wrt source file 2025-12-04T09:09:08.4269978Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0 2025-12-04T09:09:08.4270693Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0, line 1209 <- wrt source file 2025-12-04T09:09:08.4271429Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0 2025-12-04T09:09:08.4272147Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0, line 1276 <- wrt source file 2025-12-04T09:09:08.4272884Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0 2025-12-04T09:09:08.4273604Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0, line 1329 <- wrt source file 2025-12-04T09:09:08.4274329Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0 2025-12-04T09:09:08.4275039Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0, line 36 <- wrt source file 2025-12-04T09:09:08.4275810Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0 2025-12-04T09:09:08.4276498Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv1d:0, line 376 <- wrt source file 2025-12-04T09:09:08.4277211Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv1d:0 2025-12-04T09:09:08.4277921Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0, line 506 <- wrt source file 2025-12-04T09:09:08.4278610Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0 2025-12-04T09:09:08.4279277Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0, line 636 <- wrt source file 2025-12-04T09:09:08.4279955Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0 2025-12-04T09:09:08.4280656Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0, line 893 <- wrt source file 2025-12-04T09:09:08.4281397Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0 2025-12-04T09:09:08.4282124Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0, line 1015 <- wrt source file 2025-12-04T09:09:08.4282867Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0 2025-12-04T09:09:08.4283594Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0, line 1141 <- wrt source file 2025-12-04T09:09:08.4284334Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0 2025-12-04T09:09:08.4285088Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0, line 111 <- wrt source file 2025-12-04T09:09:08.4301849Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0 2025-12-04T09:09:08.4302992Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0, line 275 <- wrt source file 2025-12-04T09:09:08.4311595Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0 2025-12-04T09:09:08.4313053Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0, line 23 <- wrt source file 2025-12-04T09:09:08.4315789Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0 2025-12-04T09:09:08.4317006Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0, line 176 <- wrt source file 2025-12-04T09:09:08.4318288Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0 2025-12-04T09:09:08.4319388Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0, line 135 <- wrt source file 2025-12-04T09:09:08.4321061Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0 2025-12-04T09:09:08.4322091Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/rnn.py::LSTM:0, line 24 <- wrt source file 2025-12-04T09:09:08.4323210Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/rnn.py::LSTM:0 2025-12-04T09:09:08.4324549Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py::BaseDataScheduler.get_schedule_param:0, line 98 <- wrt source file 2025-12-04T09:09:08.4346814Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py::BaseDataScheduler.get_schedule_param:0 2025-12-04T09:09:08.4348287Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0, line 55 <- wrt source file 2025-12-04T09:09:08.4349707Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0 2025-12-04T09:09:08.4350964Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0, line 24 <- wrt source file 2025-12-04T09:09:08.4352108Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0 2025-12-04T09:09:08.4353251Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0, line 47 <- wrt source file 2025-12-04T09:09:08.4354453Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0 2025-12-04T09:09:08.4355686Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier.squash_mask:0, line 251 <- wrt source file 2025-12-04T09:09:08.4356993Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier.squash_mask:0 2025-12-04T09:09:08.4358146Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0, line 175 <- wrt source file 2025-12-04T09:09:08.4359230Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0 2025-12-04T09:09:08.4360348Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0, line 32 <- wrt source file 2025-12-04T09:09:08.4364102Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0 2025-12-04T09:09:08.4365267Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0, line 83 <- wrt source file 2025-12-04T09:09:08.4369431Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0 2025-12-04T09:09:08.4370713Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0, line 143 <- wrt source file 2025-12-04T09:09:08.4373958Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0 2025-12-04T09:09:08.4375341Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0, line 182 <- wrt source file 2025-12-04T09:09:08.4378379Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0 2025-12-04T09:09:08.4379524Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/observer.py::_with_args:0, line 110 <- wrt source file 2025-12-04T09:09:08.4380661Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/observer.py::_with_args:0 2025-12-04T09:09:08.4381743Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0, line 132 <- wrt source file 2025-12-04T09:09:08.4382891Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0 2025-12-04T09:09:08.4383955Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0, line 218 <- wrt source file 2025-12-04T09:09:08.4385126Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0 2025-12-04T09:09:08.4386338Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0, line 288 <- wrt source file 2025-12-04T09:09:08.4387464Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0 2025-12-04T09:09:08.4388599Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0, line 427 <- wrt source file 2025-12-04T09:09:08.4389742Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0 2025-12-04T09:09:08.4390862Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0, line 608 <- wrt source file 2025-12-04T09:09:08.4391965Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0 2025-12-04T09:09:08.4393138Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0, line 668 <- wrt source file 2025-12-04T09:09:08.4394368Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0 2025-12-04T09:09:08.4395617Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0, line 720 <- wrt source file 2025-12-04T09:09:08.4396957Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0 2025-12-04T09:09:08.4398164Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0, line 51 <- wrt source file 2025-12-04T09:09:08.4399330Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0 2025-12-04T09:09:08.4400470Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0, line 130 <- wrt source file 2025-12-04T09:09:08.4401670Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0 2025-12-04T09:09:08.4402804Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0, line 228 <- wrt source file 2025-12-04T09:09:08.4403985Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0 2025-12-04T09:09:08.4405090Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0, line 171 <- wrt source file 2025-12-04T09:09:08.4406260Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0 2025-12-04T09:09:08.4407451Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0, line 553 <- wrt source file 2025-12-04T09:09:08.4408646Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0 2025-12-04T09:09:08.4409827Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0, line 575 <- wrt source file 2025-12-04T09:09:08.4411034Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0 2025-12-04T09:09:08.4412228Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0, line 589 <- wrt source file 2025-12-04T09:09:08.4413462Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0 2025-12-04T09:09:08.4414636Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0, line 611 <- wrt source file 2025-12-04T09:09:08.4415828Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0 2025-12-04T09:09:08.4416977Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0, line 738 <- wrt source file 2025-12-04T09:09:08.4418155Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0 2025-12-04T09:09:08.4419428Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/backend_config/backend_config.py::DTypeConfig:0, line 216 <- wrt source file 2025-12-04T09:09:08.4420788Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/backend_config/backend_config.py::DTypeConfig:0 2025-12-04T09:09:08.4422060Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/backend_config/onednn.py::_fuse_linear_bn_leaky_relu:0, line 85 <- wrt source file 2025-12-04T09:09:08.4423367Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/backend_config/onednn.py::_fuse_linear_bn_leaky_relu:0 2025-12-04T09:09:08.4424693Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fx/_model_report/model_report.py::ModelReport:0, line 85 <- wrt source file 2025-12-04T09:09:08.4426102Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fx/_model_report/model_report.py::ModelReport:0 2025-12-04T09:09:08.4427670Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_filtered_tables:0, line 341 <- wrt source file 2025-12-04T09:09:08.4429909Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_filtered_tables:0 2025-12-04T09:09:08.4431776Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_table_visualization:0, line 429 <- wrt source file 2025-12-04T09:09:08.4433584Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_table_visualization:0 2025-12-04T09:09:08.4435259Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_plot_visualization:0, line 591 <- wrt source file 2025-12-04T09:09:08.4437042Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_plot_visualization:0 2025-12-04T09:09:08.4438760Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_histogram_visualization:0, line 664 <- wrt source file 2025-12-04T09:09:08.4440567Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_histogram_visualization:0 2025-12-04T09:09:08.4442153Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_get_reduction_params:0, line 104 <- wrt source file 2025-12-04T09:09:08.4443572Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_get_reduction_params:0 2025-12-04T09:09:08.4444943Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_register_custom_op:0, line 155 <- wrt source file 2025-12-04T09:09:08.4446354Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_register_custom_op:0 2025-12-04T09:09:08.4447713Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/pt2e/prepare.py::_get_edge_or_node_to_group_id:0, line 189 <- wrt source file 2025-12-04T09:09:08.4449089Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/pt2e/prepare.py::_get_edge_or_node_to_group_id:0 2025-12-04T09:09:08.4450430Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0, line 442 <- wrt source file 2025-12-04T09:09:08.4451820Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0 2025-12-04T09:09:08.4453085Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/anomaly_mode.py::detect_anomaly:0, line 28 <- wrt source file 2025-12-04T09:09:08.4454250Z * SKIPPED: 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/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/function.py::FunctionCtx.mark_dirty:0 2025-12-04T09:09:08.4469177Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0, line 216 <- wrt source file 2025-12-04T09:09:08.4470539Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0 2025-12-04T09:09:08.4471897Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/function.py::FunctionCtx.set_materialize_grads:0, line 245 <- wrt source file 2025-12-04T09:09:08.4473174Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/function.py::FunctionCtx.set_materialize_grads:0 2025-12-04T09:09:08.4474277Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/function.py::Function:0, line 487 <- wrt source file 2025-12-04T09:09:08.4475289Z * SKIPPED: 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DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/functional.py::hessian:0, line 907 <- wrt source file 2025-12-04T09:09:08.4483361Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/functional.py::hessian:0 2025-12-04T09:09:08.4484352Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/functional.py::vhp:0, line 1026 <- wrt source file 2025-12-04T09:09:08.4485349Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/functional.py::vhp:0 2025-12-04T09:09:08.4486328Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/functional.py::hvp:0, line 1125 <- wrt source file 2025-12-04T09:09:08.4487368Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/functional.py::hvp:0 2025-12-04T09:09:08.4488333Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/grad_mode.py::no_grad:0, line 50 <- wrt source file 2025-12-04T09:09:08.4489296Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/grad_mode.py::no_grad:0 2025-12-04T09:09:08.4490312Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/grad_mode.py::enable_grad:0, line 108 <- wrt source file 2025-12-04T09:09:08.4491358Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/grad_mode.py::enable_grad:0 2025-12-04T09:09:08.4492457Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/grad_mode.py::set_grad_enabled:0, line 166 <- wrt source file 2025-12-04T09:09:08.4493591Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/grad_mode.py::set_grad_enabled:0 2025-12-04T09:09:08.4494613Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/grad_mode.py::inference_mode:0, line 252 <- wrt source file 2025-12-04T09:09:08.4495641Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/grad_mode.py::inference_mode:0 2025-12-04T09:09:08.4496612Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::Node.name:0, line 60 <- wrt source file 2025-12-04T09:09:08.4497563Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::Node.name:0 2025-12-04T09:09:08.4498540Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::Node.register_hook:0, line 117 <- wrt source file 2025-12-04T09:09:08.4499576Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::Node.register_hook:0 2025-12-04T09:09:08.4500613Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::Node.register_prehook:0, line 154 <- wrt source file 2025-12-04T09:09:08.4501690Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::Node.register_prehook:0 2025-12-04T09:09:08.4502740Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0, line 292 <- wrt source file 2025-12-04T09:09:08.4503789Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0 2025-12-04T09:09:08.4504890Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::save_on_cpu:0, line 362 <- wrt source file 2025-12-04T09:09:08.4505999Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::save_on_cpu:0 2025-12-04T09:09:08.4507072Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::disable_saved_tensors_hooks:0, line 419 <- wrt source file 2025-12-04T09:09:08.4508304Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::disable_saved_tensors_hooks:0 2025-12-04T09:09:08.4509495Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::register_multi_grad_hook:0, line 503 <- wrt source file 2025-12-04T09:09:08.4510715Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::register_multi_grad_hook:0 2025-12-04T09:09:08.4511924Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0, line 777 <- wrt source file 2025-12-04T09:09:08.4513270Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0 2025-12-04T09:09:08.4514357Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/profiler.py::profile:0, line 182 <- wrt source file 2025-12-04T09:09:08.4515332Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/profiler.py::profile:0 2025-12-04T09:09:08.4516386Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/profiler.py::record_function:0, line 760 <- wrt source file 2025-12-04T09:09:08.4517411Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/profiler.py::record_function:0 2025-12-04T09:09:08.4518396Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/profiler.py::emit_itt:0, line 899 <- wrt source file 2025-12-04T09:09:08.4519386Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/profiler.py::emit_itt:0 2025-12-04T09:09:08.4520336Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/profiler.py::emit_nvtx:0, line 972 <- wrt source file 2025-12-04T09:09:08.4521312Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/profiler.py::emit_nvtx:0 2025-12-04T09:09:08.4522310Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/profiler_util.py::EventList:0, line 60 <- wrt source file 2025-12-04T09:09:08.4523333Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/profiler_util.py::EventList:0 2025-12-04T09:09:08.4524300Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/gds.py::gds_register_buffer:0, line 43 <- wrt source file 2025-12-04T09:09:08.4525259Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/gds.py::gds_register_buffer:0 2025-12-04T09:09:08.4526230Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/gds.py::gds_deregister_buffer:0, line 59 <- wrt source file 2025-12-04T09:09:08.4527214Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/gds.py::gds_deregister_buffer:0 2025-12-04T09:09:08.4528135Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/gds.py::GdsFile:0, line 86 <- wrt source file 2025-12-04T09:09:08.4529023Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/gds.py::GdsFile:0 2025-12-04T09:09:08.4530121Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/jiterator.py::_create_jit_fn:0, line 114 <- wrt source file 2025-12-04T09:09:08.4531116Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/jiterator.py::_create_jit_fn:0 2025-12-04T09:09:08.4532192Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/jiterator.py::_create_jit_fn:1, line 125 <- wrt source file 2025-12-04T09:09:08.4533263Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/jiterator.py::_create_jit_fn:1 2025-12-04T09:09:08.4534264Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2, line 140 <- wrt source file 2025-12-04T09:09:08.4535345Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2 2025-12-04T09:09:08.4536460Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0, line 173 <- wrt source file 2025-12-04T09:09:08.4537667Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0 2025-12-04T09:09:08.4538919Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/profiler.py::profile:0, line 75 <- wrt source file 2025-12-04T09:09:08.4539947Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/profiler.py::profile:0 2025-12-04T09:09:08.4541016Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.composition:0, line 125 <- wrt source file 2025-12-04T09:09:08.4542229Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.composition:0 2025-12-04T09:09:08.4543346Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.complement:0, line 142 <- wrt source file 2025-12-04T09:09:08.4544514Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.complement:0 2025-12-04T09:09:08.4545876Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.remap_to_tensor:0, line 281 <- wrt source file 2025-12-04T09:09:08.4547151Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.remap_to_tensor:0 2025-12-04T09:09:08.4548275Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/device_mesh.py::DeviceMesh:0, line 167 <- wrt source file 2025-12-04T09:09:08.4549334Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/device_mesh.py::DeviceMesh:0 2025-12-04T09:09:08.4550447Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/device_mesh.py::DeviceMesh.get_local_rank:0, line 1027 <- wrt source file 2025-12-04T09:09:08.4551648Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/device_mesh.py::DeviceMesh.get_local_rank:0 2025-12-04T09:09:08.4552773Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/device_mesh.py::init_device_mesh:0, line 1317 <- wrt source file 2025-12-04T09:09:08.4553882Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/device_mesh.py::init_device_mesh:0 2025-12-04T09:09:08.4555011Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::_coalescing_manager:0, line 2652 <- wrt source file 2025-12-04T09:09:08.4556147Z * SKIPPED: 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DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/format_utils.py::DynamicMetaLoadPlanner:0, line 173 <- wrt source file 2025-12-04T09:09:08.4727810Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/format_utils.py::DynamicMetaLoadPlanner:0 2025-12-04T09:09:08.4729082Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/optimizer.py::load_sharded_optimizer_state_dict:0, line 228 <- wrt source file 2025-12-04T09:09:08.4730591Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/optimizer.py::load_sharded_optimizer_state_dict:0 2025-12-04T09:09:08.4731910Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/state_dict.py::get_state_dict:0, line 1276 <- wrt source file 2025-12-04T09:09:08.4733201Z * SKIPPED: 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2025-12-04T09:09:08.4913731Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/style.py::RowwiseParallel:0, line 198 <- wrt source file 2025-12-04T09:09:08.4914941Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/style.py::RowwiseParallel:0 2025-12-04T09:09:08.4916104Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/style.py::SequenceParallel:0, line 350 <- wrt source file 2025-12-04T09:09:08.4917293Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/style.py::SequenceParallel:0 2025-12-04T09:09:08.4918461Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInput:0, line 452 <- wrt source file 2025-12-04T09:09:08.4919655Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInput:0 2025-12-04T09:09:08.4920852Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleOutput:0, line 614 <- wrt source file 2025-12-04T09:09:08.4922080Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleOutput:0 2025-12-04T09:09:08.4923293Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInputOutput:0, line 740 <- wrt source file 2025-12-04T09:09:08.4924558Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInputOutput:0 2025-12-04T09:09:08.4925661Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/bernoulli.py::Bernoulli:0, line 30 <- wrt source file 2025-12-04T09:09:08.4926692Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/bernoulli.py::Bernoulli:0 2025-12-04T09:09:08.4927644Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/beta.py::Beta:0, line 21 <- wrt source file 2025-12-04T09:09:08.4928574Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/beta.py::Beta:0 2025-12-04T09:09:08.4929724Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/binomial.py::Binomial:0, line 31 <- wrt source file 2025-12-04T09:09:08.4930755Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/binomial.py::Binomial:0 2025-12-04T09:09:08.4931800Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/categorical.py::Categorical:0, line 42 <- wrt source file 2025-12-04T09:09:08.4932990Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/categorical.py::Categorical:0 2025-12-04T09:09:08.4934102Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/cauchy.py::Cauchy:0, line 23 <- wrt source file 2025-12-04T09:09:08.4935136Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/cauchy.py::Cauchy:0 2025-12-04T09:09:08.4936117Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/chi2.py::Chi2:0, line 18 <- wrt source file 2025-12-04T09:09:08.4937101Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/chi2.py::Chi2:0 2025-12-04T09:09:08.4938216Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/constraints.py::is_dependent:0, line 167 <- wrt source file 2025-12-04T09:09:08.4939334Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/constraints.py::is_dependent:0 2025-12-04T09:09:08.4940473Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/constraints.py::_DependentProperty:0, line 188 <- wrt source file 2025-12-04T09:09:08.4941756Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/constraints.py::_DependentProperty:0 2025-12-04T09:09:08.4942968Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0, line 35 <- wrt source file 2025-12-04T09:09:08.4944247Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0 2025-12-04T09:09:08.4945505Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/dirichlet.py::Dirichlet:0, line 44 <- wrt source file 2025-12-04T09:09:08.4946642Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/dirichlet.py::Dirichlet:0 2025-12-04T09:09:08.4947657Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/exponential.py::Exponential:0, line 20 <- wrt source file 2025-12-04T09:09:08.4948712Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/exponential.py::Exponential:0 2025-12-04T09:09:08.4949778Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0, line 21 <- wrt source file 2025-12-04T09:09:08.4950908Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0 2025-12-04T09:09:08.4951912Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/gamma.py::Gamma:0, line 24 <- wrt source file 2025-12-04T09:09:08.4952869Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/gamma.py::Gamma:0 2025-12-04T09:09:08.4953930Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0, line 26 <- wrt source file 2025-12-04T09:09:08.4955110Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0 2025-12-04T09:09:08.4956171Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/geometric.py::Geometric:0, line 36 <- wrt source file 2025-12-04T09:09:08.4957194Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/geometric.py::Geometric:0 2025-12-04T09:09:08.4958145Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/gumbel.py::Gumbel:0, line 23 <- wrt source file 2025-12-04T09:09:08.4959155Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/gumbel.py::Gumbel:0 2025-12-04T09:09:08.4960128Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0, line 24 <- wrt source file 2025-12-04T09:09:08.4961164Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0 2025-12-04T09:09:08.4962178Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/half_normal.py::HalfNormal:0, line 24 <- wrt source file 2025-12-04T09:09:08.4963270Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/half_normal.py::HalfNormal:0 2025-12-04T09:09:08.4964316Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/independent.py::Independent:0, line 27 <- wrt source file 2025-12-04T09:09:08.4965429Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/independent.py::Independent:0 2025-12-04T09:09:08.4966579Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0, line 24 <- wrt source file 2025-12-04T09:09:08.4967712Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0 2025-12-04T09:09:08.4968794Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0, line 30 <- wrt source file 2025-12-04T09:09:08.4969889Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0 2025-12-04T09:09:08.4970919Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/laplace.py::Laplace:0, line 20 <- wrt source file 2025-12-04T09:09:08.4971971Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/laplace.py::Laplace:0 2025-12-04T09:09:08.4973096Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0, line 43 <- wrt source file 2025-12-04T09:09:08.4974186Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0 2025-12-04T09:09:08.4975224Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/log_normal.py::LogNormal:0, line 23 <- wrt source file 2025-12-04T09:09:08.4976274Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/log_normal.py::LogNormal:0 2025-12-04T09:09:08.4977361Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0, line 28 <- wrt source file 2025-12-04T09:09:08.4978516Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0 2025-12-04T09:09:08.4979772Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/lowrank_multivariate_normal.py::LowRankMultivariateNormal:0, line 63 <- wrt source file 2025-12-04T09:09:08.4981146Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/lowrank_multivariate_normal.py::LowRankMultivariateNormal:0 2025-12-04T09:09:08.4982404Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/mixture_same_family.py::MixtureSameFamily:0, line 24 <- wrt source file 2025-12-04T09:09:08.4983611Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/mixture_same_family.py::MixtureSameFamily:0 2025-12-04T09:09:08.4984860Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/multinomial.py::Multinomial:0, line 38 <- wrt source file 2025-12-04T09:09:08.4986098Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/multinomial.py::Multinomial:0 2025-12-04T09:09:08.4987348Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0, line 103 <- wrt source file 2025-12-04T09:09:08.4988751Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0 2025-12-04T09:09:08.4989990Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/normal.py::Normal:0, line 22 <- wrt source file 2025-12-04T09:09:08.4991107Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/normal.py::Normal:0 2025-12-04T09:09:08.4992321Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0, line 34 <- wrt source file 2025-12-04T09:09:08.4993671Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0 2025-12-04T09:09:08.4994733Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/pareto.py::Pareto:0, line 20 <- wrt source file 2025-12-04T09:09:08.4995722Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/pareto.py::Pareto:0 2025-12-04T09:09:08.4996671Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/poisson.py::Poisson:0, line 25 <- wrt source file 2025-12-04T09:09:08.4997650Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/poisson.py::Poisson:0 2025-12-04T09:09:08.4998720Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/relaxed_bernoulli.py::RelaxedBernoulli:0, line 130 <- wrt source file 2025-12-04T09:09:08.4999887Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/relaxed_bernoulli.py::RelaxedBernoulli:0 2025-12-04T09:09:08.5001086Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/relaxed_categorical.py::RelaxedOneHotCategorical:0, line 117 <- wrt source file 2025-12-04T09:09:08.5002341Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/relaxed_categorical.py::RelaxedOneHotCategorical:0 2025-12-04T09:09:08.5003448Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/studentT.py::StudentT:0, line 22 <- wrt source file 2025-12-04T09:09:08.5004458Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/studentT.py::StudentT:0 2025-12-04T09:09:08.5005505Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/transforms.py::CatTransform:0, line 1076 <- wrt source file 2025-12-04T09:09:08.5006589Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/transforms.py::CatTransform:0 2025-12-04T09:09:08.5007652Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/transforms.py::StackTransform:0, line 1190 <- wrt source file 2025-12-04T09:09:08.5008735Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/transforms.py::StackTransform:0 2025-12-04T09:09:08.5009952Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0, line 1268 <- wrt source file 2025-12-04T09:09:08.5011278Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0 2025-12-04T09:09:08.5012531Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/uniform.py::Uniform:0, line 21 <- wrt source file 2025-12-04T09:09:08.5013596Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/uniform.py::Uniform:0 2025-12-04T09:09:08.5014596Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/utils.py::clamp_probs:0, line 114 <- wrt source file 2025-12-04T09:09:08.5015692Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/utils.py::clamp_probs:0 2025-12-04T09:09:08.5016690Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/von_mises.py::VonMises:0, line 119 <- wrt source file 2025-12-04T09:09:08.5017710Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/von_mises.py::VonMises:0 2025-12-04T09:09:08.5018730Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/weibull.py::Weibull:0, line 22 <- wrt source file 2025-12-04T09:09:08.5019717Z * SUCCESS: 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/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/passes/graph_drawer.py::FxGraphDrawer.get_dot_graph:0, line 129 <- wrt source file 2025-12-04T09:09:08.5160823Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/passes/graph_drawer.py::FxGraphDrawer.get_dot_graph:0 2025-12-04T09:09:08.5161858Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/passes/shape_prop.py::ShapeProp:0, line 99 <- wrt source file 2025-12-04T09:09:08.5162871Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/passes/shape_prop.py::ShapeProp:0 2025-12-04T09:09:08.5163889Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/passes/split_module.py::split_module:0, line 94 <- wrt source file 2025-12-04T09:09:08.5164905Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/passes/split_module.py::split_module:0 2025-12-04T09:09:08.5166127Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/passes/utils/matcher_with_name_node_map_utils.py::SubgraphMatcherWithNameNodeMap:0, line 51 <- wrt source file 2025-12-04T09:09:08.5167526Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/passes/utils/matcher_with_name_node_map_utils.py::SubgraphMatcherWithNameNodeMap:0 2025-12-04T09:09:08.5168761Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0, line 37 <- wrt source file 2025-12-04T09:09:08.5169867Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0 2025-12-04T09:09:08.5170931Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/jit/mobile/__init__.py::_load_for_lite_interpreter:0, line 22 <- wrt source file 2025-12-04T09:09:08.5172067Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/jit/mobile/__init__.py::_load_for_lite_interpreter:0 2025-12-04T09:09:08.5173282Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/jit/mobile/__init__.py::_get_mobile_model_contained_types:0, line 125 <- wrt source file 2025-12-04T09:09:08.5174534Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/jit/mobile/__init__.py::_get_mobile_model_contained_types:0 2025-12-04T09:09:08.5175742Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/jit/mobile/__init__.py::_get_model_ops_and_info:0, line 225 <- wrt source file 2025-12-04T09:09:08.5176935Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/jit/mobile/__init__.py::_get_model_ops_and_info:0 2025-12-04T09:09:08.5178046Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/masked/_ops.py::logaddexp:0, line 1538 <- wrt source file 2025-12-04T09:09:08.5179075Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/masked/_ops.py::logaddexp:0 2025-12-04T09:09:08.5180171Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0, line 25 <- wrt source file 2025-12-04T09:09:08.5181258Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0 2025-12-04T09:09:08.5182356Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0, line 470 <- wrt source file 2025-12-04T09:09:08.5183551Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0 2025-12-04T09:09:08.5184747Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0, line 589 <- wrt source file 2025-12-04T09:09:08.5853045Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0 2025-12-04T09:09:08.5870545Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::gumbel_softmax:0, line 2198 <- wrt source file 2025-12-04T09:09:08.5878545Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::gumbel_softmax:0 2025-12-04T09:09:08.5879508Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::embedding:0, line 2503 <- wrt source file 2025-12-04T09:09:08.5885980Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::embedding:0 2025-12-04T09:09:08.5886993Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::embedding_bag:0, line 2645 <- wrt source file 2025-12-04T09:09:08.5923038Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::embedding_bag:0 2025-12-04T09:09:08.5923952Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::ctc_loss:0, line 3087 <- wrt source file 2025-12-04T09:09:08.5957092Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::ctc_loss:0 2025-12-04T09:09:08.5958008Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::nll_loss:0, line 3157 <- wrt source file 2025-12-04T09:09:08.5993297Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::nll_loss:0 2025-12-04T09:09:08.5994232Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::cross_entropy:0, line 3476 <- wrt source file 2025-12-04T09:09:08.6010957Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::cross_entropy:0 2025-12-04T09:09:08.6011984Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::binary_cross_entropy:0, line 3542 <- wrt source file 2025-12-04T09:09:08.6027865Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::binary_cross_entropy:0 2025-12-04T09:09:08.6029086Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0, line 3613 <- wrt source file 2025-12-04T09:09:08.6042198Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0 2025-12-04T09:09:08.6043182Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::pad:0, line 5387 <- wrt source file 2025-12-04T09:09:08.6050000Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::pad:0 2025-12-04T09:09:08.6051197Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv1d_input:0, line 32 <- wrt source file 2025-12-04T09:09:08.6140374Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv1d_input:0 2025-12-04T09:09:08.6141296Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv1d_weight:0, line 79 <- wrt source file 2025-12-04T09:09:08.6146195Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv1d_weight:0 2025-12-04T09:09:08.6147205Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv2d_input:0, line 130 <- wrt source file 2025-12-04T09:09:08.6152008Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv2d_input:0 2025-12-04T09:09:08.6152952Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv2d_weight:0, line 177 <- wrt source file 2025-12-04T09:09:08.6156024Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv2d_weight:0 2025-12-04T09:09:08.6157028Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv3d_input:0, line 228 <- wrt source file 2025-12-04T09:09:08.6439311Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv3d_input:0 2025-12-04T09:09:08.6440386Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv3d_weight:0, line 275 <- wrt source file 2025-12-04T09:09:08.6476576Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv3d_weight:0 2025-12-04T09:09:08.6477550Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::calculate_gain:0, line 172 <- wrt source file 2025-12-04T09:09:08.6480333Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::calculate_gain:0 2025-12-04T09:09:08.6481412Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::uniform_:0, line 231 <- wrt source file 2025-12-04T09:09:08.6482540Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::uniform_:0 2025-12-04T09:09:08.6483534Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::normal_:0, line 258 <- wrt source file 2025-12-04T09:09:08.6485609Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::normal_:0 2025-12-04T09:09:08.6486655Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::trunc_normal_:0, line 293 <- wrt source file 2025-12-04T09:09:08.6497467Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::trunc_normal_:0 2025-12-04T09:09:08.6498571Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::constant_:0, line 307 <- wrt source file 2025-12-04T09:09:08.6500562Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::constant_:0 2025-12-04T09:09:08.6501562Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::ones_:0, line 324 <- wrt source file 2025-12-04T09:09:08.6502741Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::ones_:0 2025-12-04T09:09:08.6503680Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::zeros_:0, line 337 <- wrt source file 2025-12-04T09:09:08.6505275Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::zeros_:0 2025-12-04T09:09:08.6506722Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::eye_:0, line 353 <- wrt source file 2025-12-04T09:09:08.6508395Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::eye_:0 2025-12-04T09:09:08.6509354Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::dirac_:0, line 375 <- wrt source file 2025-12-04T09:09:08.6512625Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::dirac_:0 2025-12-04T09:09:08.6513604Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::xavier_uniform_:0, line 461 <- wrt source file 2025-12-04T09:09:08.6515785Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::xavier_uniform_:0 2025-12-04T09:09:08.6516775Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::xavier_normal_:0, line 493 <- wrt source file 2025-12-04T09:09:08.6518027Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::xavier_normal_:0 2025-12-04T09:09:08.6518935Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::kaiming_uniform_:0, line 545 <- wrt source file 2025-12-04T09:09:08.6520394Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::kaiming_uniform_:0 2025-12-04T09:09:08.6521349Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::kaiming_normal_:0, line 610 <- wrt source file 2025-12-04T09:09:08.6522690Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::kaiming_normal_:0 2025-12-04T09:09:08.6523618Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::orthogonal_:0, line 649 <- wrt source file 2025-12-04T09:09:08.6524571Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::orthogonal_:0 2025-12-04T09:09:08.6525486Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::sparse_:0, line 702 <- wrt source file 2025-12-04T09:09:08.6527912Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::sparse_:0 2025-12-04T09:09:08.6529029Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0, line 124 <- wrt source file 2025-12-04T09:09:08.6531838Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0 2025-12-04T09:09:08.6533088Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/attention/_registry.py::register_flash_attention_impl:0, line 47 <- wrt source file 2025-12-04T09:09:08.6534371Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/attention/_registry.py::register_flash_attention_impl:0 2025-12-04T09:09:08.6535648Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/attention/_registry.py::activate_flash_attention_impl:0, line 78 <- wrt source file 2025-12-04T09:09:08.6536907Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/attention/_registry.py::activate_flash_attention_impl:0 2025-12-04T09:09:08.6538004Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/attention/bias.py::CausalBias:0, line 94 <- wrt source file 2025-12-04T09:09:08.6539015Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/attention/bias.py::CausalBias:0 2025-12-04T09:09:08.6540004Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/attention/varlen.py::varlen_attn:0, line 166 <- wrt source file 2025-12-04T09:09:08.6541118Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/attention/varlen.py::varlen_attn:0 2025-12-04T09:09:08.6542160Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Threshold:0, line 72 <- wrt source file 2025-12-04T09:09:08.6547350Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Threshold:0 2025-12-04T09:09:08.6548624Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::ReLU:0, line 120 <- wrt source file 2025-12-04T09:09:08.6552549Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::ReLU:0 2025-12-04T09:09:08.6553560Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::RReLU:0, line 185 <- wrt source file 2025-12-04T09:09:08.6555952Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::RReLU:0 2025-12-04T09:09:08.6556989Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Hardtanh:0, line 247 <- wrt source file 2025-12-04T09:09:08.6559105Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Hardtanh:0 2025-12-04T09:09:08.6560060Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::ReLU6:0, line 318 <- wrt source file 2025-12-04T09:09:08.6561960Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::ReLU6:0 2025-12-04T09:09:08.6562923Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Sigmoid:0, line 349 <- wrt source file 2025-12-04T09:09:08.6564956Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Sigmoid:0 2025-12-04T09:09:08.6565991Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0, line 384 <- wrt source file 2025-12-04T09:09:08.6568092Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0 2025-12-04T09:09:08.6569102Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Tanh:0, line 420 <- wrt source file 2025-12-04T09:09:08.6571086Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Tanh:0 2025-12-04T09:09:08.6572162Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::SiLU:0, line 456 <- wrt source file 2025-12-04T09:09:08.6584220Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::SiLU:0 2025-12-04T09:09:08.6585291Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Mish:0, line 501 <- wrt source file 2025-12-04T09:09:08.6592784Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Mish:0 2025-12-04T09:09:08.6593789Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Hardswish:0, line 552 <- wrt source file 2025-12-04T09:09:08.6600126Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Hardswish:0 2025-12-04T09:09:08.6601103Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::ELU:0, line 598 <- wrt source file 2025-12-04T09:09:08.6603214Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::ELU:0 2025-12-04T09:09:08.6604320Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::CELU:0, line 646 <- wrt source file 2025-12-04T09:09:08.6606233Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::CELU:0 2025-12-04T09:09:08.6607206Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::SELU:0, line 705 <- wrt source file 2025-12-04T09:09:08.6609236Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::SELU:0 2025-12-04T09:09:08.6610536Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::GLU:0, line 751 <- wrt source file 2025-12-04T09:09:08.6619383Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::GLU:0 2025-12-04T09:09:08.6620416Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::GELU:0, line 799 <- wrt source file 2025-12-04T09:09:08.6639463Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::GELU:0 2025-12-04T09:09:08.6640671Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Hardshrink:0, line 848 <- wrt source file 2025-12-04T09:09:08.6643755Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Hardshrink:0 2025-12-04T09:09:08.6647415Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::LeakyReLU:0, line 903 <- wrt source file 2025-12-04T09:09:08.6648467Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::LeakyReLU:0 2025-12-04T09:09:08.6649477Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::LogSigmoid:0, line 945 <- wrt source file 2025-12-04T09:09:08.6650612Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::LogSigmoid:0 2025-12-04T09:09:08.6651676Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softplus:0, line 981 <- wrt source file 2025-12-04T09:09:08.6653616Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softplus:0 2025-12-04T09:09:08.6654698Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softshrink:0, line 1030 <- wrt source file 2025-12-04T09:09:08.6657127Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softshrink:0 2025-12-04T09:09:08.6658338Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0, line 1148 <- wrt source file 2025-12-04T09:09:08.6659635Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0 2025-12-04T09:09:08.6660814Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::PReLU:0, line 1613 <- wrt source file 2025-12-04T09:09:08.6661915Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::PReLU:0 2025-12-04T09:09:08.6662899Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softsign:0, line 1664 <- wrt source file 2025-12-04T09:09:08.6665154Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softsign:0 2025-12-04T09:09:08.6666437Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Tanhshrink:0, line 1690 <- wrt source file 2025-12-04T09:09:08.6668138Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Tanhshrink:0 2025-12-04T09:09:08.6669131Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softmin:0, line 1728 <- wrt source file 2025-12-04T09:09:08.6671398Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softmin:0 2025-12-04T09:09:08.6672482Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softmax:0, line 1792 <- wrt source file 2025-12-04T09:09:08.6674140Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softmax:0 2025-12-04T09:09:08.6675139Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softmax2d:0, line 1839 <- wrt source file 2025-12-04T09:09:08.6677513Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softmax2d:0 2025-12-04T09:09:08.6678532Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::LogSoftmax:0, line 1878 <- wrt source file 2025-12-04T09:09:08.6680566Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::LogSoftmax:0 2025-12-04T09:09:08.6681154Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0, line 341 <- wrt source file 2025-12-04T09:09:08.6705122Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0 2025-12-04T09:09:08.6705776Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0, line 453 <- wrt source file 2025-12-04T09:09:08.6856544Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0 2025-12-04T09:09:08.6857158Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0, line 565 <- wrt source file 2025-12-04T09:09:08.8478277Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0 2025-12-04T09:09:08.8591986Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm:0, line 690 <- wrt source file 2025-12-04T09:09:08.8593342Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm:0 2025-12-04T09:09:08.8594652Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm.convert_sync_batchnorm:0, line 857 <- wrt source file 2025-12-04T09:09:08.8596081Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm.convert_sync_batchnorm:0 2025-12-04T09:09:08.8597294Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0, line 21 <- wrt source file 2025-12-04T09:09:08.8619888Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0 2025-12-04T09:09:08.8621191Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::Sequential:0, line 81 <- wrt source file 2025-12-04T09:09:08.8622423Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::Sequential:0 2025-12-04T09:09:08.8623996Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::Sequential.append:0, line 263 <- wrt source file 2025-12-04T09:09:08.8630367Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::Sequential.append:0 2025-12-04T09:09:08.8631839Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::Sequential.insert:0, line 286 <- wrt source file 2025-12-04T09:09:08.8637304Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::Sequential.insert:0 2025-12-04T09:09:08.8638594Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::Sequential.extend:0, line 317 <- wrt source file 2025-12-04T09:09:08.8645274Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::Sequential.extend:0 2025-12-04T09:09:08.8646641Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::ModuleList:0, line 346 <- wrt source file 2025-12-04T09:09:08.8647917Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::ModuleList:0 2025-12-04T09:09:08.8649121Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::ModuleDict:0, line 529 <- wrt source file 2025-12-04T09:09:08.8650360Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::ModuleDict:0 2025-12-04T09:09:08.8651496Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::ParameterList:0, line 661 <- wrt source file 2025-12-04T09:09:08.8652924Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::ParameterList:0 2025-12-04T09:09:08.8654170Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::ParameterDict:0, line 819 <- wrt source file 2025-12-04T09:09:08.8655559Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::ParameterDict:0 2025-12-04T09:09:08.8656982Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0, line 38 <- wrt source file 2025-12-04T09:09:08.8658419Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0 2025-12-04T09:09:08.8659805Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0, line 81 <- wrt source file 2025-12-04T09:09:08.8663914Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0 2025-12-04T09:09:08.8665175Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::Dropout:0, line 60 <- wrt source file 2025-12-04T09:09:08.8668224Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::Dropout:0 2025-12-04T09:09:08.8669251Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::Dropout1d:0, line 108 <- wrt source file 2025-12-04T09:09:08.8672616Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::Dropout1d:0 2025-12-04T09:09:08.8673656Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::Dropout2d:0, line 163 <- wrt source file 2025-12-04T09:09:08.8687105Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::Dropout2d:0 2025-12-04T09:09:08.8688363Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::Dropout3d:0, line 211 <- wrt source file 2025-12-04T09:09:08.8737992Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::Dropout3d:0 2025-12-04T09:09:08.8739085Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0, line 257 <- wrt source file 2025-12-04T09:09:08.8742762Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0 2025-12-04T09:09:08.8744013Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0, line 309 <- wrt source file 2025-12-04T09:09:08.8790995Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0 2025-12-04T09:09:08.8792017Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/flatten.py::Flatten:0, line 29 <- wrt source file 2025-12-04T09:09:08.8797012Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/flatten.py::Flatten:0 2025-12-04T09:09:08.8798065Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/flatten.py::Unflatten:0, line 86 <- wrt source file 2025-12-04T09:09:08.8807997Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/flatten.py::Unflatten:0 2025-12-04T09:09:08.8808955Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/fold.py::Fold:0, line 224 <- wrt source file 2025-12-04T09:09:08.8812824Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/fold.py::Fold:0 2025-12-04T09:09:08.8813850Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/fold.py::Unfold:0, line 395 <- wrt source file 2025-12-04T09:09:08.8834867Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/fold.py::Unfold:0 2025-12-04T09:09:08.8835881Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0, line 188 <- wrt source file 2025-12-04T09:09:08.8844383Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0 2025-12-04T09:09:08.8845455Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0, line 304 <- wrt source file 2025-12-04T09:09:08.8963445Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0 2025-12-04T09:09:08.8964509Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0, line 420 <- wrt source file 2025-12-04T09:09:09.0576877Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0 2025-12-04T09:09:09.0687599Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0, line 77 <- wrt source file 2025-12-04T09:09:09.0690967Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0 2025-12-04T09:09:09.0692013Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/linear.py::Identity:0, line 34 <- wrt source file 2025-12-04T09:09:09.0697132Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/linear.py::Identity:0 2025-12-04T09:09:09.0698090Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/linear.py::Linear:0, line 83 <- wrt source file 2025-12-04T09:09:09.0724242Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/linear.py::Linear:0 2025-12-04T09:09:09.0725190Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/linear.py::Bilinear:0, line 191 <- wrt source file 2025-12-04T09:09:09.0736639Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/linear.py::Bilinear:0 2025-12-04T09:09:09.0737824Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::L1Loss:0, line 116 <- wrt source file 2025-12-04T09:09:09.0743710Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::L1Loss:0 2025-12-04T09:09:09.0744713Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::NLLLoss:0, line 213 <- wrt source file 2025-12-04T09:09:09.0765076Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::NLLLoss:0 2025-12-04T09:09:09.0766600Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0, line 327 <- wrt source file 2025-12-04T09:09:09.0784343Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0 2025-12-04T09:09:09.0785504Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0, line 416 <- wrt source file 2025-12-04T09:09:09.0808439Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0 2025-12-04T09:09:09.0809459Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::KLDivLoss:0, line 531 <- wrt source file 2025-12-04T09:09:09.0815248Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::KLDivLoss:0 2025-12-04T09:09:09.0816287Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::MSELoss:0, line 613 <- wrt source file 2025-12-04T09:09:09.0832577Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::MSELoss:0 2025-12-04T09:09:09.0833527Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::BCELoss:0, line 696 <- wrt source file 2025-12-04T09:09:09.0839406Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::BCELoss:0 2025-12-04T09:09:09.0840401Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0, line 762 <- wrt source file 2025-12-04T09:09:09.0849626Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0 2025-12-04T09:09:09.0850660Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1, line 810 <- wrt source file 2025-12-04T09:09:09.0854948Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1 2025-12-04T09:09:09.0856033Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0, line 958 <- wrt source file 2025-12-04T09:09:09.0862671Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0 2025-12-04T09:09:09.0863710Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0, line 1284 <- wrt source file 2025-12-04T09:09:09.0871397Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0 2025-12-04T09:09:09.0872865Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1, line 1311 <- wrt source file 2025-12-04T09:09:09.0873998Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1 2025-12-04T09:09:09.0875099Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0, line 1464 <- wrt source file 2025-12-04T09:09:09.0880753Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0 2025-12-04T09:09:09.0881857Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0, line 1531 <- wrt source file 2025-12-04T09:09:09.0887405Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0 2025-12-04T09:09:09.0888463Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0, line 1612 <- wrt source file 2025-12-04T09:09:09.0895099Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0 2025-12-04T09:09:09.0896383Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0, line 1714 <- wrt source file 2025-12-04T09:09:09.0905768Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0 2025-12-04T09:09:09.0907312Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::TripletMarginWithDistanceLoss:0, line 1827 <- wrt source file 2025-12-04T09:09:09.0933792Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::TripletMarginWithDistanceLoss:0 2025-12-04T09:09:09.0934876Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::CTCLoss:0, line 1959 <- wrt source file 2025-12-04T09:09:09.0958197Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::CTCLoss:0 2025-12-04T09:09:09.0959244Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.register_buffer:0, line 554 <- wrt source file 2025-12-04T09:09:09.0960389Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.register_buffer:0 2025-12-04T09:09:09.0961437Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.apply:0, line 1048 <- wrt source file 2025-12-04T09:09:09.0971340Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.apply:0 2025-12-04T09:09:09.0972423Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.to:0, line 1299 <- wrt source file 2025-12-04T09:09:09.0981210Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.to:0 2025-12-04T09:09:09.0982488Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.state_dict:0, line 2232 <- wrt source file 2025-12-04T09:09:09.0983591Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.state_dict:0 2025-12-04T09:09:09.0984727Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.parameters:0, line 2678 <- wrt source file 2025-12-04T09:09:09.0985944Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.parameters:0 2025-12-04T09:09:09.0987415Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.named_parameters:0, line 2706 <- wrt source file 2025-12-04T09:09:09.0988560Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.named_parameters:0 2025-12-04T09:09:09.0989632Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.buffers:0, line 2733 <- wrt source file 2025-12-04T09:09:09.0990759Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.buffers:0 2025-12-04T09:09:09.0991811Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.named_buffers:0, line 2760 <- wrt source file 2025-12-04T09:09:09.0992890Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.named_buffers:0 2025-12-04T09:09:09.0993946Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.named_children:0, line 2791 <- wrt source file 2025-12-04T09:09:09.0995022Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.named_children:0 2025-12-04T09:09:09.0996041Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.modules:0, line 2815 <- wrt source file 2025-12-04T09:09:09.0997062Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.modules:0 2025-12-04T09:09:09.0998083Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.named_modules:0, line 2853 <- wrt source file 2025-12-04T09:09:09.0999179Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.named_modules:0 2025-12-04T09:09:09.1000289Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0, line 38 <- wrt source file 2025-12-04T09:09:09.1018113Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0 2025-12-04T09:09:09.1019279Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/normalization.py::LayerNorm:0, line 163 <- wrt source file 2025-12-04T09:09:09.1045073Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/normalization.py::LayerNorm:0 2025-12-04T09:09:09.1046385Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/normalization.py::GroupNorm:0, line 274 <- wrt source file 2025-12-04T09:09:09.1061537Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/normalization.py::GroupNorm:0 2025-12-04T09:09:09.1062761Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/normalization.py::RMSNorm:0, line 369 <- wrt source file 2025-12-04T09:09:09.1067485Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/normalization.py::RMSNorm:0 2025-12-04T09:09:09.1068715Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::CircularPad1d:0, line 70 <- wrt source file 2025-12-04T09:09:09.1073306Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::CircularPad1d:0 2025-12-04T09:09:09.1074458Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::CircularPad2d:0, line 123 <- wrt source file 2025-12-04T09:09:09.1088138Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::CircularPad2d:0 2025-12-04T09:09:09.1089460Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::CircularPad3d:0, line 189 <- wrt source file 2025-12-04T09:09:09.5495589Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::CircularPad3d:0 2025-12-04T09:09:09.5678193Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0, line 244 <- wrt source file 2025-12-04T09:09:09.5688945Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0 2025-12-04T09:09:09.5690078Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0, line 298 <- wrt source file 2025-12-04T09:09:09.5694501Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0 2025-12-04T09:09:09.5695643Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0, line 355 <- wrt source file 2025-12-04T09:09:09.5711891Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0 2025-12-04T09:09:09.5712973Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0, line 401 <- wrt source file 2025-12-04T09:09:09.5742296Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0 2025-12-04T09:09:09.5743452Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0, line 446 <- wrt source file 2025-12-04T09:09:09.5747794Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0 2025-12-04T09:09:09.5748872Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0, line 505 <- wrt source file 2025-12-04T09:09:09.5762447Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0 2025-12-04T09:09:09.5763615Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0, line 565 <- wrt source file 2025-12-04T09:09:09.5766917Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0 2025-12-04T09:09:09.5768130Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0, line 610 <- wrt source file 2025-12-04T09:09:09.5779950Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0 2025-12-04T09:09:09.5781273Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0, line 669 <- wrt source file 2025-12-04T09:09:09.9211893Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0 2025-12-04T09:09:09.9398173Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0, line 704 <- wrt source file 2025-12-04T09:09:09.9407187Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0 2025-12-04T09:09:09.9408484Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0, line 762 <- wrt source file 2025-12-04T09:09:09.9411440Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0 2025-12-04T09:09:09.9413036Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0, line 824 <- wrt source file 2025-12-04T09:09:09.9428222Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0 2025-12-04T09:09:09.9442451Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0, line 40 <- wrt source file 2025-12-04T09:09:09.9444031Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0 2025-12-04T09:09:09.9445114Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0, line 99 <- wrt source file 2025-12-04T09:09:09.9446210Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0 2025-12-04T09:09:09.9447227Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0, line 129 <- wrt source file 2025-12-04T09:09:09.9448233Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0 2025-12-04T09:09:09.9449225Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0, line 207 <- wrt source file 2025-12-04T09:09:09.9500937Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0 2025-12-04T09:09:09.9502115Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0, line 291 <- wrt source file 2025-12-04T09:09:10.1176236Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0 2025-12-04T09:09:10.1216979Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0, line 366 <- wrt source file 2025-12-04T09:09:10.1230582Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0 2025-12-04T09:09:10.1231672Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::MaxUnpool2d:0, line 452 <- wrt source file 2025-12-04T09:09:10.1248407Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::MaxUnpool2d:0 2025-12-04T09:09:10.1249542Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0, line 550 <- wrt source file 2025-12-04T09:09:10.1825681Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0 2025-12-04T09:09:10.1826943Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0, line 642 <- wrt source file 2025-12-04T09:09:10.1846919Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0 2025-12-04T09:09:10.1847961Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0, line 738 <- wrt source file 2025-12-04T09:09:10.1874071Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0 2025-12-04T09:09:10.1875075Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0, line 855 <- wrt source file 2025-12-04T09:09:10.2941294Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0 2025-12-04T09:09:10.2982654Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0, line 946 <- wrt source file 2025-12-04T09:09:10.3018043Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0 2025-12-04T09:09:10.3019343Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0, line 1033 <- wrt source file 2025-12-04T09:09:10.3507788Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0 2025-12-04T09:09:10.3508886Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::LPPool1d:0, line 1156 <- wrt source file 2025-12-04T09:09:10.3514862Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::LPPool1d:0 2025-12-04T09:09:10.3515873Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::LPPool2d:0, line 1212 <- wrt source file 2025-12-04T09:09:10.3550272Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::LPPool2d:0 2025-12-04T09:09:10.3551249Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::LPPool3d:0, line 1276 <- wrt source file 2025-12-04T09:09:10.4962936Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::LPPool3d:0 2025-12-04T09:09:10.5002989Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0, line 1332 <- wrt source file 2025-12-04T09:09:10.5018930Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0 2025-12-04T09:09:10.5020051Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0, line 1367 <- wrt source file 2025-12-04T09:09:10.5026133Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0 2025-12-04T09:09:10.5027315Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0, line 1411 <- wrt source file 2025-12-04T09:09:10.5091456Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0 2025-12-04T09:09:10.5092636Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0, line 1459 <- wrt source file 2025-12-04T09:09:10.5103254Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0 2025-12-04T09:09:10.5104327Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0, line 1493 <- wrt source file 2025-12-04T09:09:10.5109791Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0 2025-12-04T09:09:10.5110853Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0, line 1533 <- wrt source file 2025-12-04T09:09:10.5121513Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0 2025-12-04T09:09:10.5122492Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::RNN:0, line 598 <- wrt source file 2025-12-04T09:09:10.5131279Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::RNN:0 2025-12-04T09:09:10.5132659Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::LSTM:0, line 963 <- wrt source file 2025-12-04T09:09:10.5444869Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::LSTM:0 2025-12-04T09:09:10.5446831Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::GRU:0, line 1305 <- wrt source file 2025-12-04T09:09:10.5458183Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::GRU:0 2025-12-04T09:09:10.5459713Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::RNNCell:0, line 1561 <- wrt source file 2025-12-04T09:09:10.5475578Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::RNNCell:0 2025-12-04T09:09:10.5476561Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::LSTMCell:0, line 1683 <- wrt source file 2025-12-04T09:09:10.5493389Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::LSTMCell:0 2025-12-04T09:09:10.5494462Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::GRUCell:0, line 1797 <- wrt source file 2025-12-04T09:09:10.5502765Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::GRUCell:0 2025-12-04T09:09:10.5503780Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/sparse.py::Embedding:0, line 71 <- wrt source file 2025-12-04T09:09:10.5513799Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/sparse.py::Embedding:0 2025-12-04T09:09:10.5514868Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0, line 243 <- wrt source file 2025-12-04T09:09:10.5518382Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0 2025-12-04T09:09:10.5519489Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/sparse.py::EmbeddingBag:0, line 324 <- wrt source file 2025-12-04T09:09:10.5529532Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/sparse.py::EmbeddingBag:0 2025-12-04T09:09:10.5530677Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0, line 523 <- wrt source file 2025-12-04T09:09:10.5535734Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0 2025-12-04T09:09:10.5536895Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py::Transformer:0, line 91 <- wrt source file 2025-12-04T09:09:11.1472487Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py::Transformer:0 2025-12-04T09:09:11.1487797Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py::Transformer.forward:0, line 267 <- wrt source file 2025-12-04T09:09:11.1489011Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py::Transformer.forward:0 2025-12-04T09:09:11.1490190Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0, line 345 <- wrt source file 2025-12-04T09:09:11.2303119Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0 2025-12-04T09:09:11.2340672Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0, line 578 <- wrt source file 2025-12-04T09:09:11.4184526Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0 2025-12-04T09:09:11.4191773Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0, line 702 <- wrt source file 2025-12-04T09:09:11.4408882Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0 2025-12-04T09:09:11.4410773Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0, line 1014 <- wrt source file 2025-12-04T09:09:11.4854628Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0 2025-12-04T09:09:11.4855966Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/upsampling.py::Upsample:0, line 77 <- wrt source file 2025-12-04T09:09:11.4906647Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/upsampling.py::Upsample:0 2025-12-04T09:09:11.4907866Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0, line 229 <- wrt source file 2025-12-04T09:09:11.4917202Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0 2025-12-04T09:09:11.4918405Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0, line 279 <- wrt source file 2025-12-04T09:09:11.4924290Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0 2025-12-04T09:09:11.4925544Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0, line 128 <- wrt source file 2025-12-04T09:09:11.4926758Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0 2025-12-04T09:09:11.4928013Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0, line 644 <- wrt source file 2025-12-04T09:09:11.4929518Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0 2025-12-04T09:09:11.4930908Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0, line 1451 <- wrt source file 2025-12-04T09:09:11.4932351Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0 2025-12-04T09:09:11.4933796Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.join:0, line 1838 <- wrt source file 2025-12-04T09:09:11.4935191Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.join:0 2025-12-04T09:09:11.4936693Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0, line 2004 <- wrt source file 2025-12-04T09:09:11.4938275Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0 2025-12-04T09:09:11.4939808Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1, line 2014 <- wrt source file 2025-12-04T09:09:11.4941670Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1 2025-12-04T09:09:11.4943069Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0, line 2049 <- wrt source file 2025-12-04T09:09:11.4944536Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0 2025-12-04T09:09:11.4946324Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_fused_optim:0, line 2107 <- wrt source file 2025-12-04T09:09:11.4947840Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_fused_optim:0 2025-12-04T09:09:11.4949183Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/_per_sample_grad.py::call_for_per_sample_grads:0, line 35 <- wrt source file 2025-12-04T09:09:11.4950416Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/_per_sample_grad.py::call_for_per_sample_grads:0 2025-12-04T09:09:11.4951550Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/init.py::skip_init:0, line 33 <- wrt source file 2025-12-04T09:09:11.4952593Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/init.py::skip_init:0 2025-12-04T09:09:11.4953713Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/memory_format.py::convert_conv2d_weight_memory_format:0, line 64 <- wrt source file 2025-12-04T09:09:11.4954976Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/memory_format.py::convert_conv2d_weight_memory_format:0 2025-12-04T09:09:11.4956212Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/memory_format.py::convert_conv3d_weight_memory_format:0, line 143 <- wrt source file 2025-12-04T09:09:11.4957474Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/memory_format.py::convert_conv3d_weight_memory_format:0 2025-12-04T09:09:11.4958641Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0, line 267 <- wrt source file 2025-12-04T09:09:11.4959771Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0 2025-12-04T09:09:11.4960904Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0, line 362 <- wrt source file 2025-12-04T09:09:11.4962060Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0 2025-12-04T09:09:11.4963172Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0, line 593 <- wrt source file 2025-12-04T09:09:11.4964332Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0 2025-12-04T09:09:11.4965374Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::identity:0, line 852 <- wrt source file 2025-12-04T09:09:11.4966350Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::identity:0 2025-12-04T09:09:11.4967368Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::random_unstructured:0, line 888 <- wrt source file 2025-12-04T09:09:11.4968482Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::random_unstructured:0 2025-12-04T09:09:11.4969514Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::l1_unstructured:0, line 931 <- wrt source file 2025-12-04T09:09:11.4970555Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::l1_unstructured:0 2025-12-04T09:09:11.4971660Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::random_structured:0, line 971 <- wrt source file 2025-12-04T09:09:11.4972836Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::random_structured:0 2025-12-04T09:09:11.4973892Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::ln_structured:0, line 1017 <- wrt source file 2025-12-04T09:09:11.4990494Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::ln_structured:0 2025-12-04T09:09:11.4991562Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::global_unstructured:0, line 1072 <- wrt source file 2025-12-04T09:09:11.5004766Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::global_unstructured:0 2025-12-04T09:09:11.5005861Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::custom_from_mask:0, line 1175 <- wrt source file 2025-12-04T09:09:11.5012647Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::custom_from_mask:0 2025-12-04T09:09:11.5013688Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::remove:0, line 1203 <- wrt source file 2025-12-04T09:09:11.5018010Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::remove:0 2025-12-04T09:09:11.5018974Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::is_pruned:0, line 1231 <- wrt source file 2025-12-04T09:09:11.5025145Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::is_pruned:0 2025-12-04T09:09:11.5026263Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/rnn.py::pad_packed_sequence:0, line 359 <- wrt source file 2025-12-04T09:09:11.5037752Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/rnn.py::pad_packed_sequence:0 2025-12-04T09:09:11.5038740Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/rnn.py::pad_sequence:0, line 439 <- wrt source file 2025-12-04T09:09:11.5042945Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/rnn.py::pad_sequence:0 2025-12-04T09:09:11.5043958Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0, line 500 <- wrt source file 2025-12-04T09:09:11.5052667Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0 2025-12-04T09:09:11.5053747Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/rnn.py::pack_sequence:0, line 556 <- wrt source file 2025-12-04T09:09:11.5059706Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/rnn.py::pack_sequence:0 2025-12-04T09:09:11.5060730Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0, line 584 <- wrt source file 2025-12-04T09:09:11.5072903Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0 2025-12-04T09:09:11.5074322Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0, line 314 <- wrt source file 2025-12-04T09:09:11.5078096Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0 2025-12-04T09:09:11.5079208Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0, line 347 <- wrt source file 2025-12-04T09:09:11.5090105Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0 2025-12-04T09:09:11.5091261Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/stateless.py::functional_call:0, line 193 <- wrt source file 2025-12-04T09:09:11.5093511Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/stateless.py::functional_call:0 2025-12-04T09:09:11.5094629Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0, line 134 <- wrt source file 2025-12-04T09:09:11.5108189Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0 2025-12-04T09:09:11.5109298Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0, line 156 <- wrt source file 2025-12-04T09:09:11.5112331Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0 2025-12-04T09:09:11.5113587Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0, line 315 <- wrt source file 2025-12-04T09:09:11.5114840Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0 2025-12-04T09:09:11.5116215Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/_expanded_weights/expanded_weights_utils.py::sum_over_all_but_batch_and_last_n:0, line 178 <- wrt source file 2025-12-04T09:09:11.5117774Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/_expanded_weights/expanded_weights_utils.py::sum_over_all_but_batch_and_last_n:0 2025-12-04T09:09:11.5119050Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0, line 357 <- wrt source file 2025-12-04T09:09:11.5120147Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0 2025-12-04T09:09:11.5121251Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0, line 483 <- wrt source file 2025-12-04T09:09:11.5122439Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0 2025-12-04T09:09:11.5123525Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::StepLR:0, line 608 <- wrt source file 2025-12-04T09:09:11.5124594Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::StepLR:0 2025-12-04T09:09:11.5125641Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0, line 695 <- wrt source file 2025-12-04T09:09:11.5126748Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0 2025-12-04T09:09:11.5127829Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0, line 791 <- wrt source file 2025-12-04T09:09:11.5129016Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0 2025-12-04T09:09:11.5130239Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::LinearLR:0, line 898 <- wrt source file 2025-12-04T09:09:11.5131321Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::LinearLR:0 2025-12-04T09:09:11.5132518Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0, line 1020 <- wrt source file 2025-12-04T09:09:11.5133822Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0 2025-12-04T09:09:11.5134977Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0, line 1097 <- wrt source file 2025-12-04T09:09:11.5136153Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0 2025-12-04T09:09:11.5137293Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0, line 1249 <- wrt source file 2025-12-04T09:09:11.5138457Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0 2025-12-04T09:09:11.5139574Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0, line 1378 <- wrt source file 2025-12-04T09:09:11.5140693Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0 2025-12-04T09:09:11.5141755Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0, line 1490 <- wrt source file 2025-12-04T09:09:11.5142848Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0 2025-12-04T09:09:11.5143886Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0, line 1863 <- wrt source file 2025-12-04T09:09:11.5145033Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0 2025-12-04T09:09:11.5146280Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts:0, line 2129 <- wrt source file 2025-12-04T09:09:11.5147491Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts:0 2025-12-04T09:09:11.5148704Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0, line 2211 <- wrt source file 2025-12-04T09:09:11.5149973Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0 2025-12-04T09:09:11.5151202Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1, line 2227 <- wrt source file 2025-12-04T09:09:11.5152442Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1 2025-12-04T09:09:11.5153547Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0, line 2367 <- wrt source file 2025-12-04T09:09:11.5154567Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0 2025-12-04T09:09:11.5155634Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/optimizer.py::Optimizer.load_state_dict:0, line 900 <- wrt source file 2025-12-04T09:09:11.5156846Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/optimizer.py::Optimizer.load_state_dict:0 2025-12-04T09:09:11.5157899Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/swa_utils.py::AveragedModel:0, line 155 <- wrt source file 2025-12-04T09:09:11.5158930Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/swa_utils.py::AveragedModel:0 2025-12-04T09:09:11.5159975Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/swa_utils.py::AveragedModel:1, line 181 <- wrt source file 2025-12-04T09:09:11.5161006Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/swa_utils.py::AveragedModel:1 2025-12-04T09:09:11.5161980Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/swa_utils.py::update_bn:0, line 350 <- wrt source file 2025-12-04T09:09:11.5163035Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/swa_utils.py::update_bn:0 2025-12-04T09:09:11.5164035Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/swa_utils.py::SWALR:0, line 409 <- wrt source file 2025-12-04T09:09:11.5165064Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/swa_utils.py::SWALR:0 2025-12-04T09:09:11.5166100Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/package/glob_group.py::GlobGroup:0, line 22 <- wrt source file 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SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/sparse/semi_structured.py::to_sparse_semi_structured:0 2025-12-04T09:09:11.5175655Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_comparison.py::assert_close:0, line 1477 <- wrt source file 2025-12-04T09:09:11.5184647Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_comparison.py::assert_close:0 2025-12-04T09:09:11.5185850Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_creation.py::make_tensor:0, line 114 <- wrt source file 2025-12-04T09:09:11.5186961Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_creation.py::make_tensor:0 2025-12-04T09:09:11.5188069Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/common_utils.py::parametrize:0, line 648 <- wrt source file 2025-12-04T09:09:11.5189254Z * SKIPPED: 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/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/optests/autograd_registration.py::autograd_registration_check:0, line 29 <- wrt source file 2025-12-04T09:09:11.5212660Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/optests/autograd_registration.py::autograd_registration_check:0 2025-12-04T09:09:11.5213975Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::register_pytree_node:0, line 159 <- wrt source file 2025-12-04T09:09:11.5215109Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::register_pytree_node:0 2025-12-04T09:09:11.5216164Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_is_leaf:0, line 316 <- wrt source file 2025-12-04T09:09:11.5217198Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_is_leaf:0 2025-12-04T09:09:11.5218259Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0, line 359 <- wrt source file 2025-12-04T09:09:11.5221806Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0 2025-12-04T09:09:11.5222826Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0, line 396 <- wrt source file 2025-12-04T09:09:11.5225454Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0 2025-12-04T09:09:11.5226553Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0, line 429 <- wrt source file 2025-12-04T09:09:11.5246671Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0 2025-12-04T09:09:11.5247705Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0, line 464 <- wrt source file 2025-12-04T09:09:11.5250464Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0 2025-12-04T09:09:11.5251552Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0, line 499 <- wrt source file 2025-12-04T09:09:11.5254115Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0 2025-12-04T09:09:11.5255201Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_map:0, line 536 <- wrt source file 2025-12-04T09:09:11.5262190Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_map:0 2025-12-04T09:09:11.5263201Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0, line 929 <- wrt source file 2025-12-04T09:09:11.5269646Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0 2025-12-04T09:09:11.5270689Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_pytree.py::register_dataclass:0, line 308 <- wrt source file 2025-12-04T09:09:11.5279702Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_pytree.py::register_dataclass:0 2025-12-04T09:09:11.5280714Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_pytree.py::register_constant:0, line 428 <- wrt source file 2025-12-04T09:09:11.5288935Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_pytree.py::register_constant:0 2025-12-04T09:09:11.5289916Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_pytree.py::tree_is_leaf:0, line 1058 <- wrt source file 2025-12-04T09:09:11.5293277Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_pytree.py::tree_is_leaf:0 2025-12-04T09:09:11.5294339Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_pytree.py::tree_map:0, line 1497 <- wrt source file 2025-12-04T09:09:11.5298659Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_pytree.py::tree_map:0 2025-12-04T09:09:11.5299745Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0, line 71 <- wrt source file 2025-12-04T09:09:11.5300972Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0 2025-12-04T09:09:11.5302210Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/backend_registration.py::generate_methods_for_privateuse1_backend:0, line 382 <- wrt source file 2025-12-04T09:09:11.5303708Z * SKIPPED: 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SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/checkpoint.py::set_checkpoint_early_stop:0 2025-12-04T09:09:11.5312147Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/checkpoint.py::SelectiveCheckpointContext:0, line 1257 <- wrt source file 2025-12-04T09:09:11.5313336Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/checkpoint.py::SelectiveCheckpointContext:0 2025-12-04T09:09:11.5314530Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/checkpoint.py::create_selective_checkpoint_contexts:0, line 1421 <- wrt source file 2025-12-04T09:09:11.5315782Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/checkpoint.py::create_selective_checkpoint_contexts:0 2025-12-04T09:09:11.5316898Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/cpp_extension.py::CppExtension:0, line 1247 <- wrt source file 2025-12-04T09:09:11.5317933Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/cpp_extension.py::CppExtension:0 2025-12-04T09:09:11.5318941Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/cpp_extension.py::CUDAExtension:0, line 1319 <- wrt source file 2025-12-04T09:09:11.5320003Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/cpp_extension.py::CUDAExtension:0 2025-12-04T09:09:11.5321035Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/cpp_extension.py::CUDAExtension:1, line 1397 <- wrt source file 2025-12-04T09:09:11.5322080Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/cpp_extension.py::CUDAExtension:1 2025-12-04T09:09:11.5323101Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/cpp_extension.py::SyclExtension:0, line 1509 <- wrt source file 2025-12-04T09:09:11.5324134Z * SKIPPED: 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2025-12-04T09:09:11.5331367Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/throughput_benchmark.py::ThroughputBenchmark:0, line 78 <- wrt source file 2025-12-04T09:09:11.5332799Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/throughput_benchmark.py::ThroughputBenchmark:0 2025-12-04T09:09:11.5334146Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0, line 742 <- wrt source file 2025-12-04T09:09:11.5634545Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0 2025-12-04T09:09:11.5636188Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/dataset.py::IterableDataset:0, line 94 <- wrt source file 2025-12-04T09:09:11.5640548Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/dataset.py::IterableDataset:0 2025-12-04T09:09:11.5641718Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/dataset.py::StackDataset:0, line 218 <- wrt source file 2025-12-04T09:09:11.5642977Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/dataset.py::StackDataset:0 2025-12-04T09:09:11.5644118Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/dataset.py::random_split:0, line 438 <- wrt source file 2025-12-04T09:09:11.5645236Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/dataset.py::random_split:0 2025-12-04T09:09:11.5646397Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/distributed.py::DistributedSampler:0, line 55 <- wrt source file 2025-12-04T09:09:11.5647706Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/distributed.py::DistributedSampler:0 2025-12-04T09:09:11.5648738Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/sampler.py::Sampler:0, line 36 <- wrt source file 2025-12-04T09:09:11.5649870Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/sampler.py::Sampler:0 2025-12-04T09:09:11.5651087Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0, line 225 <- wrt source file 2025-12-04T09:09:11.5652488Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0 2025-12-04T09:09:11.5653842Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/sampler.py::BatchSampler:0, line 296 <- wrt source file 2025-12-04T09:09:11.5656879Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/sampler.py::BatchSampler:0 2025-12-04T09:09:11.5658262Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/_utils/collate.py::default_convert:0, line 39 <- wrt source file 2025-12-04T09:09:11.5659530Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/_utils/collate.py::default_convert:0 2025-12-04T09:09:11.5660614Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/_utils/collate.py::collate:0, line 137 <- wrt source file 2025-12-04T09:09:11.5663028Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/_utils/collate.py::collate:0 2025-12-04T09:09:11.5664300Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/_utils/collate.py::default_collate:0, line 367 <- wrt source file 2025-12-04T09:09:11.5667232Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/_utils/collate.py::default_collate:0 2025-12-04T09:09:11.5668396Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/datapipe.py::IterDataPipe:0, line 97 <- wrt source file 2025-12-04T09:09:11.5671107Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/datapipe.py::IterDataPipe:0 2025-12-04T09:09:11.5672439Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0, line 269 <- wrt source file 2025-12-04T09:09:11.5673696Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0 2025-12-04T09:09:11.5674989Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0, line 53 <- wrt source file 2025-12-04T09:09:11.5676324Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0 2025-12-04T09:09:11.5677618Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0, line 202 <- wrt source file 2025-12-04T09:09:11.5678912Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0 2025-12-04T09:09:11.5680194Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0, line 90 <- wrt source file 2025-12-04T09:09:11.5681514Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0 2025-12-04T09:09:11.5682800Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combining.py::ConcaterIterDataPipe:0, line 38 <- wrt source file 2025-12-04T09:09:11.5689885Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combining.py::ConcaterIterDataPipe:0 2025-12-04T09:09:11.5691168Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combining.py::ForkerIterDataPipe:0, line 89 <- wrt source file 2025-12-04T09:09:11.5692558Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combining.py::ForkerIterDataPipe:0 2025-12-04T09:09:11.5693821Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combining.py::_ChildDataPipe:0, line 308 <- wrt source file 2025-12-04T09:09:11.5695135Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combining.py::_ChildDataPipe:0 2025-12-04T09:09:11.5696543Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combining.py::DemultiplexerIterDataPipe:0, line 397 <- wrt source file 2025-12-04T09:09:11.5698086Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combining.py::DemultiplexerIterDataPipe:0 2025-12-04T09:09:11.5699479Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combining.py::MultiplexerIterDataPipe:0, line 615 <- wrt source file 2025-12-04T09:09:11.5700946Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combining.py::MultiplexerIterDataPipe:0 2025-12-04T09:09:11.5702156Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combining.py::ZipperIterDataPipe:0, line 685 <- wrt source file 2025-12-04T09:09:11.5703389Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combining.py::ZipperIterDataPipe:0 2025-12-04T09:09:11.5704779Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0, line 29 <- wrt source file 2025-12-04T09:09:11.5706220Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0 2025-12-04T09:09:11.5707528Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/fileopener.py::FileOpenerIterDataPipe:0, line 33 <- wrt source file 2025-12-04T09:09:11.5708808Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/fileopener.py::FileOpenerIterDataPipe:0 2025-12-04T09:09:11.5710035Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/grouping.py::BatcherIterDataPipe:0, line 41 <- wrt source file 2025-12-04T09:09:11.5711268Z * SKIPPED: 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source file 2025-12-04T09:09:11.5718617Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/selecting.py::FilterIterDataPipe:0 2025-12-04T09:09:11.5719888Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0, line 24 <- wrt source file 2025-12-04T09:09:11.5721252Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0 2025-12-04T09:09:11.5722552Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0, line 29 <- wrt source file 2025-12-04T09:09:11.5723852Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0 2025-12-04T09:09:11.5725063Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0, line 36 <- wrt source file 2025-12-04T09:09:11.5726275Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0 2025-12-04T09:09:11.5727492Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0, line 34 <- wrt source file 2025-12-04T09:09:11.5728803Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0 2025-12-04T09:09:11.5730197Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/map/combining.py::ConcaterMapDataPipe:0, line 29 <- wrt source file 2025-12-04T09:09:11.5731644Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/map/combining.py::ConcaterMapDataPipe:0 2025-12-04T09:09:11.5733001Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/map/combining.py::ZipperMapDataPipe:0, line 76 <- wrt source file 2025-12-04T09:09:11.5734245Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/map/combining.py::ZipperMapDataPipe:0 2025-12-04T09:09:11.5735449Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/map/grouping.py::BatcherMapDataPipe:0, line 29 <- wrt source file 2025-12-04T09:09:11.5736684Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/map/grouping.py::BatcherMapDataPipe:0 2025-12-04T09:09:11.5737923Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/map/utils.py::SequenceWrapperMapDataPipe:0, line 29 <- wrt source file 2025-12-04T09:09:11.5739199Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/map/utils.py::SequenceWrapperMapDataPipe:0 2025-12-04T09:09:11.5740380Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0, line 37 <- wrt source file 2025-12-04T09:09:11.5741555Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0 2025-12-04T09:09:11.5742707Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0, line 47 <- wrt source file 2025-12-04T09:09:11.5743876Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0 2025-12-04T09:09:11.5745130Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0, line 439 <- wrt source file 2025-12-04T09:09:11.8741376Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0 2025-12-04T09:09:11.8742795Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0, line 535 <- wrt source file 2025-12-04T09:09:11.8744244Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0 2025-12-04T09:09:11.8745872Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0, line 217 <- wrt source file 2025-12-04T09:09:11.8747157Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0 2025-12-04T09:09:11.8748167Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0, line 322 <- wrt source file 2025-12-04T09:09:11.8749207Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0 2025-12-04T09:09:11.8750965Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0, line 370 <- wrt source file 2025-12-04T09:09:11.8752178Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0 2025-12-04T09:09:11.8753268Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0, line 402 <- wrt source file 2025-12-04T09:09:11.8754423Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0 2025-12-04T09:09:11.8755173Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0, line 450 <- wrt source file 2025-12-04T09:09:11.8756014Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0 2025-12-04T09:09:11.8756825Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0, line 489 <- wrt source file 2025-12-04T09:09:11.8757634Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0 2025-12-04T09:09:11.8758477Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0, line 542 <- wrt source file 2025-12-04T09:09:11.8759636Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0 2025-12-04T09:09:11.8760415Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0, line 608 <- wrt source file 2025-12-04T09:09:11.8761208Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0 2025-12-04T09:09:11.8761950Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0, line 657 <- wrt source file 2025-12-04T09:09:11.8762714Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0 2025-12-04T09:09:11.8763462Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0, line 820 <- wrt source file 2025-12-04T09:09:11.8764500Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0 2025-12-04T09:09:11.8765690Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0, line 887 <- wrt source file 2025-12-04T09:09:11.8766951Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0 2025-12-04T09:09:11.8768160Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0, line 998 <- wrt source file 2025-12-04T09:09:11.8769373Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0 2025-12-04T09:09:11.8770653Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0, line 1072 <- wrt source file 2025-12-04T09:09:11.8772045Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0 2025-12-04T09:09:11.8773761Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0, line 1093 <- wrt source file 2025-12-04T09:09:11.8775091Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0 2025-12-04T09:09:11.8776333Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0, line 1118 <- wrt source file 2025-12-04T09:09:11.8777621Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0 2025-12-04T09:09:11.8778809Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0, line 1164 <- wrt source file 2025-12-04T09:09:11.8779960Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0 2025-12-04T09:09:11.8780617Z ============ 2025-12-04T09:09:11.8780856Z Finished doctests 2025-12-04T09:09:11.8781074Z 378 / 894 passed 2025-12-04T09:09:11.8781306Z  2025-12-04T09:09:11.8781593Z === Found 17 parse-time warnings === 2025-12-04T09:09:11.8781995Z --- Parse Warning: 1 / 17 --- 2025-12-04T09:09:11.8782987Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=Library.fallback in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py line=368. 2025-12-04T09:09:11.8784075Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:09:11.8784752Z Registers the function implementation as the fallback for the given key. 2025-12-04T09:09:11.8785184Z 2025-12-04T09:09:11.8785546Z This function only works for a library with global namespace ("_"). 2025-12-04T09:09:11.8785971Z 2025-12-04T09:09:11.8786197Z Args: 2025-12-04T09:09:11.8786651Z fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel` 2025-12-04T09:09:11.8787195Z to register a fallthrough. 2025-12-04T09:09:11.8787746Z dispatch_key: dispatch key that the input function should be registered for. By default, it uses 2025-12-04T09:09:11.8788389Z the dispatch key that the library was created with. 2025-12-04T09:09:11.8789076Z with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument 2025-12-04T09:09:11.8789876Z to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls. 2025-12-04T09:09:11.8790384Z 2025-12-04T09:09:11.8790620Z Example:: 2025-12-04T09:09:11.8790865Z 2025-12-04T09:09:11.8791114Z >>> my_lib = Library("_", "IMPL") 2025-12-04T09:09:11.8791521Z >>> def fallback_kernel(op, *args, **kwargs): 2025-12-04T09:09:11.8791927Z >>> # Handle all autocast ops generically 2025-12-04T09:09:11.8792260Z >>> # ... 2025-12-04T09:09:11.8792605Z >>> my_lib.fallback(fallback_kernel, "Autocast") 2025-12-04T09:09:11.8792960Z 2025-12-04T09:09:11.8793698Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 5, 1, 'my_lib.fallback(fallback_kernel, "Autocast")\n', 5, 7)) 2025-12-04T09:09:11.8794477Z 2025-12-04T09:09:11.8794709Z my_lib.fallback(fallback_kernel, "Autocast") 2025-12-04T09:09:11.8795005Z ^ 2025-12-04T09:09:11.8795222Z warnings.warn(msg) 2025-12-04T09:09:11.8795473Z 2025-12-04T09:09:11.8795861Z --- Parse Warning: 2 / 17 --- 2025-12-04T09:09:11.8797158Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=register_fake in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py line=958. 2025-12-04T09:09:11.8798380Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:09:11.8798969Z Register a FakeTensor implementation ("fake impl") for this operator. 2025-12-04T09:09:11.8799390Z 2025-12-04T09:09:11.8799754Z Also sometimes known as a "meta kernel", "abstract impl". 2025-12-04T09:09:11.8800120Z 2025-12-04T09:09:11.8800457Z An "FakeTensor implementation" specifies the behavior of this operator on 2025-12-04T09:09:11.8801043Z Tensors that carry no data ("FakeTensor"). Given some input Tensors with 2025-12-04T09:09:11.8801634Z certain properties (sizes/strides/storage_offset/device), it specifies 2025-12-04T09:09:11.8802150Z what the properties of the output Tensors are. 2025-12-04T09:09:11.8802474Z 2025-12-04T09:09:11.8802832Z The FakeTensor implementation has the same signature as the operator. 2025-12-04T09:09:11.8803414Z It is run for both FakeTensors and meta tensors. To write a FakeTensor 2025-12-04T09:09:11.8803955Z implementation, assume that all Tensor inputs to the operator are 2025-12-04T09:09:11.8804518Z regular CPU/CUDA/Meta tensors, but they do not have storage, and 2025-12-04T09:09:11.8805057Z you are trying to return regular CPU/CUDA/Meta tensor(s) as output. 2025-12-04T09:09:11.8805622Z The FakeTensor implementation must consist of only PyTorch operations 2025-12-04T09:09:11.8806169Z (and may not directly access the storage or data of any input or 2025-12-04T09:09:11.8806596Z intermediate Tensors). 2025-12-04T09:09:11.8806867Z 2025-12-04T09:09:11.8807130Z This API may be used as a decorator (see examples). 2025-12-04T09:09:11.8807475Z 2025-12-04T09:09:11.8807725Z For a detailed guide on custom ops, please see 2025-12-04T09:09:11.8808264Z https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html 2025-12-04T09:09:11.8808705Z 2025-12-04T09:09:11.8808899Z Args: 2025-12-04T09:09:11.8809268Z op_name: Operator name (along with the overload) or OpOverload object. 2025-12-04T09:09:11.8809734Z func: Fake tensor implementation. 2025-12-04T09:09:11.8810176Z lib (Optional[Library]): Library to register the fake tensor to. 2025-12-04T09:09:11.8810697Z allow_override: Flag controlling if we want to override an 2025-12-04T09:09:11.8811184Z existing registered fake impl. This is by default off, 2025-12-04T09:09:11.8811701Z and will error you're trying to register a fake impl to 2025-12-04T09:09:11.8812228Z an operator that already has a fake impl. This also only 2025-12-04T09:09:11.8812743Z applies if the custom operator was not created via 2025-12-04T09:09:11.8813264Z torch.library.custom_op, as overriding and existing fake 2025-12-04T09:09:11.8813698Z impl is already allowed. 2025-12-04T09:09:11.8814007Z 2025-12-04T09:09:11.8814200Z Examples: 2025-12-04T09:09:11.8814444Z >>> import torch 2025-12-04T09:09:11.8814738Z >>> import numpy as np 2025-12-04T09:09:11.8815040Z >>> from torch import Tensor 2025-12-04T09:09:11.8815353Z >>> 2025-12-04T09:09:11.8815677Z >>> # Example 1: an operator without data-dependent output shape 2025-12-04T09:09:11.8816229Z >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=()) 2025-12-04T09:09:11.8816798Z >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-12-04T09:09:11.8817361Z >>> raise NotImplementedError("Implementation goes here") 2025-12-04T09:09:11.8817748Z >>> 2025-12-04T09:09:11.8818031Z >>> @torch.library.register_fake("mylib::custom_linear") 2025-12-04T09:09:11.8818534Z >>> def _(x, weight, bias): 2025-12-04T09:09:11.8818864Z >>> assert x.dim() == 2 2025-12-04T09:09:11.8819191Z >>> assert weight.dim() == 2 2025-12-04T09:09:11.8819523Z >>> assert bias.dim() == 1 2025-12-04T09:09:11.8819880Z >>> assert x.shape[1] == weight.shape[1] 2025-12-04T09:09:11.8820361Z >>> assert weight.shape[0] == bias.shape[0] 2025-12-04T09:09:11.8820733Z >>> assert x.device == weight.device 2025-12-04T09:09:11.8821009Z >>> 2025-12-04T09:09:11.8821245Z >>> return (x @ weight.t()) + bias 2025-12-04T09:09:11.8821530Z >>> 2025-12-04T09:09:11.8821836Z >>> with torch._subclasses.fake_tensor.FakeTensorMode(): 2025-12-04T09:09:11.8822236Z >>> x = torch.randn(2, 3) 2025-12-04T09:09:11.8822583Z >>> w = torch.randn(3, 3) 2025-12-04T09:09:11.8822906Z >>> b = torch.randn(3) 2025-12-04T09:09:11.8823260Z >>> y = torch.ops.mylib.custom_linear(x, w, b) 2025-12-04T09:09:11.8823582Z >>> 2025-12-04T09:09:11.8823818Z >>> assert y.shape == (2, 3) 2025-12-04T09:09:11.8824117Z >>> 2025-12-04T09:09:11.8824419Z >>> # Example 2: an operator with data-dependent output shape 2025-12-04T09:09:11.8825106Z >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=()) 2025-12-04T09:09:11.8825635Z >>> def custom_nonzero(x: Tensor) -> Tensor: 2025-12-04T09:09:11.8826017Z >>> x_np = x.numpy(force=True) 2025-12-04T09:09:11.8826363Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-12-04T09:09:11.8826725Z >>> return torch.tensor(res, device=x.device) 2025-12-04T09:09:11.8827019Z >>> 2025-12-04T09:09:11.8827291Z >>> @torch.library.register_fake("mylib::custom_nonzero") 2025-12-04T09:09:11.8827677Z >>> def _(x): 2025-12-04T09:09:11.8827978Z >>> # Number of nonzero-elements is data-dependent. 2025-12-04T09:09:11.8828396Z >>> # Since we cannot peek at the data in an fake impl, 2025-12-04T09:09:11.8828819Z >>> # we use the ctx object to construct a new symint that 2025-12-04T09:09:11.8829206Z >>> # represents the data-dependent size. 2025-12-04T09:09:11.8829822Z >>> ctx = torch.library.get_ctx() 2025-12-04T09:09:11.8830180Z >>> nnz = ctx.new_dynamic_size() 2025-12-04T09:09:11.8830531Z >>> shape = [nnz, x.dim()] 2025-12-04T09:09:11.8830924Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-12-04T09:09:11.8831294Z >>> return result 2025-12-04T09:09:11.8831580Z >>> 2025-12-04T09:09:11.8831897Z >>> from torch.fx.experimental.proxy_tensor import make_fx 2025-12-04T09:09:11.8832262Z >>> 2025-12-04T09:09:11.8832508Z >>> x = torch.tensor([0, 1, 2, 3, 4, 0]) 2025-12-04T09:09:11.8833005Z >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x) 2025-12-04T09:09:11.8833506Z >>> trace.print_readable() 2025-12-04T09:09:11.8833780Z >>> 2025-12-04T09:09:11.8834167Z >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x)) 2025-12-04T09:09:11.8834621Z 2025-12-04T09:09:11.8834813Z 2025-12-04T09:09:11.8835521Z Original Error: IndentationError('expected an indented block after function definition on line 37', ('', 38, 1, '_._ = None\n', 38, 2)) 2025-12-04T09:09:11.8836317Z 2025-12-04T09:09:11.8836490Z _._ = None 2025-12-04T09:09:11.8836682Z ^ 2025-12-04T09:09:11.8836872Z warnings.warn(msg) 2025-12-04T09:09:11.8837108Z 2025-12-04T09:09:11.8837469Z --- Parse Warning: 3 / 17 --- 2025-12-04T09:09:11.8838885Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=get_kernel in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py line=1530. 2025-12-04T09:09:11.8839976Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:09:11.8840490Z Returns the computed kernel for a given operator and dispatch key. 2025-12-04T09:09:11.8840876Z 2025-12-04T09:09:11.8841192Z This function retrieves the kernel that would be executed for a given 2025-12-04T09:09:11.8841781Z operator and dispatch key combination. The returned SafeKernelFunction 2025-12-04T09:09:11.8842289Z can be used to call the kernel in a boxed fashion. The intended use 2025-12-04T09:09:11.8842754Z case for this function is to retrieve the original kernel for a given 2025-12-04T09:09:11.8843222Z dispatch key and then register another kernel to the same dispatch key 2025-12-04T09:09:11.8843643Z that calls into the original kernel for certain cases. 2025-12-04T09:09:11.8843983Z 2025-12-04T09:09:11.8844174Z Args: 2025-12-04T09:09:11.8844502Z op: Operator name (along with the overload) or OpOverload object 2025-12-04T09:09:11.8845042Z Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef. 2025-12-04T09:09:11.8845586Z dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for. 2025-12-04T09:09:11.8846071Z Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value. 2025-12-04T09:09:11.8846400Z 2025-12-04T09:09:11.8846577Z Returns: 2025-12-04T09:09:11.8846917Z torch._C._SafeKernelFunction: A safe kernel function that can be used to 2025-12-04T09:09:11.8847339Z call the kernel. 2025-12-04T09:09:11.8847582Z 2025-12-04T09:09:11.8847769Z Raises: 2025-12-04T09:09:11.8848036Z RuntimeError: If the operator does not exist. 2025-12-04T09:09:11.8848361Z 2025-12-04T09:09:11.8848541Z Example: 2025-12-04T09:09:11.8848785Z >>> # Get the CPU kernel for torch.add 2025-12-04T09:09:11.8849190Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU") 2025-12-04T09:09:11.8849553Z >>> 2025-12-04T09:09:11.8849774Z >>> # You can also use DispatchKey enum 2025-12-04T09:09:11.8850226Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU) 2025-12-04T09:09:11.8850664Z >>> 2025-12-04T09:09:11.8850913Z >>> # Or use an OpOverload directly 2025-12-04T09:09:11.8851348Z >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU") 2025-12-04T09:09:11.8851748Z >>> 2025-12-04T09:09:11.8852089Z >>> # Example: Using get_kernel in a custom op with conditional dispatch 2025-12-04T09:09:11.8852483Z >>> # Get the original kernel for torch.sin 2025-12-04T09:09:11.8852906Z >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU") 2025-12-04T09:09:11.8853315Z >>> 2025-12-04T09:09:11.8853660Z >>> # If input has negative values, use original sin, otherwise return zeros 2025-12-04T09:09:11.8854117Z >>> def conditional_sin_impl(dispatch_keys, x): 2025-12-04T09:09:11.8854464Z >>> if (x < 0).any(): 2025-12-04T09:09:11.8854838Z >>> return original_sin_kernel.call_boxed(dispatch_keys, x) 2025-12-04T09:09:11.8855210Z >>> else: 2025-12-04T09:09:11.8855475Z >>> return torch.zeros_like(x) 2025-12-04T09:09:11.8855747Z >>> 2025-12-04T09:09:11.8855971Z >>> lib = torch.library.Library("aten", "IMPL") 2025-12-04T09:09:11.8856369Z >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet 2025-12-04T09:09:11.8856701Z >>> which needs to be the first argument to ``kernel.call_boxed`` 2025-12-04T09:09:11.8857001Z >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True) 2025-12-04T09:09:11.8857342Z >>> 2025-12-04T09:09:11.8857516Z >>> # Test the conditional behavior 2025-12-04T09:09:11.8857741Z >>> x_positive = torch.tensor([1.0, 2.0]) 2025-12-04T09:09:11.8857991Z >>> x_mixed = torch.tensor([-1.0, 2.0]) 2025-12-04T09:09:11.8858286Z >>> torch.sin(x_positive) 2025-12-04T09:09:11.8858549Z tensor([0., 0.]) 2025-12-04T09:09:11.8858785Z >>> torch.sin(x_mixed) 2025-12-04T09:09:11.8858977Z tensor([-0.8415, 0.9093]) 2025-12-04T09:09:11.8859153Z 2025-12-04T09:09:11.8859499Z Original Error: SyntaxError('invalid syntax', ('', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n', 23, 12)) 2025-12-04T09:09:11.8859858Z 2025-12-04T09:09:11.8860048Z which needs to be the first argument to ``kernel.call_boxed`` 2025-12-04T09:09:11.8860278Z ^ 2025-12-04T09:09:11.8860421Z warnings.warn(msg) 2025-12-04T09:09:11.8860593Z 2025-12-04T09:09:11.8860896Z --- Parse Warning: 4 / 17 --- 2025-12-04T09:09:11.8861505Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=is_available in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/accelerator/__init__.py line=70. 2025-12-04T09:09:11.8862206Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:09:11.8862557Z Check if the current accelerator is available at runtime: it was build, all the 2025-12-04T09:09:11.8862889Z required drivers are available and at least one device is visible. 2025-12-04T09:09:11.8863168Z See :ref:`accelerator` for details. 2025-12-04T09:09:11.8863368Z 2025-12-04T09:09:11.8863501Z Returns: 2025-12-04T09:09:11.8863755Z bool: A boolean indicating if there is an available :ref:`accelerator`. 2025-12-04T09:09:11.8864021Z 2025-12-04T09:09:11.8864252Z .. note:: This API delegates to the device-specific version of `is_available`. 2025-12-04T09:09:11.8864775Z On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set, 2025-12-04T09:09:11.8865194Z this function will NOT poison fork. Otherwise, it will. For more details, see 2025-12-04T09:09:11.8865548Z :ref:`multiprocessing-poison-fork-note`. 2025-12-04T09:09:11.8865798Z 2025-12-04T09:09:11.8865961Z Example:: 2025-12-04T09:09:11.8866101Z 2025-12-04T09:09:11.8866337Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:09:11.8866650Z 2025-12-04T09:09:11.8867082Z Original Error: SyntaxError('invalid syntax', ('', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78)) 2025-12-04T09:09:11.8867551Z 2025-12-04T09:09:11.8867805Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:09:11.8868124Z ^ 2025-12-04T09:09:11.8868347Z warnings.warn(msg) 2025-12-04T09:09:11.8868535Z 2025-12-04T09:09:11.8868766Z --- Parse Warning: 5 / 17 --- 2025-12-04T09:09:11.8869557Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=synchronize in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/accelerator/__init__.py line=239. 2025-12-04T09:09:11.8870314Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:09:11.8870697Z Wait for all kernels in all streams on the given device to complete. 2025-12-04T09:09:11.8870964Z 2025-12-04T09:09:11.8871115Z Args: 2025-12-04T09:09:11.8871418Z device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match 2025-12-04T09:09:11.8871848Z the current :ref:`accelerator` device type. If not given, 2025-12-04T09:09:11.8872252Z use :func:`torch.accelerator.current_device_index` by default. 2025-12-04T09:09:11.8872526Z 2025-12-04T09:09:11.8872778Z .. note:: This function is a no-op if the current :ref:`accelerator` is not initialized. 2025-12-04T09:09:11.8873057Z 2025-12-04T09:09:11.8873192Z Example:: 2025-12-04T09:09:11.8873342Z 2025-12-04T09:09:11.8873538Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-12-04T09:09:11.8873843Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:09:11.8874154Z >>> start_event = torch.Event(enable_timing=True) 2025-12-04T09:09:11.8874395Z >>> end_event = torch.Event(enable_timing=True) 2025-12-04T09:09:11.8874605Z >>> start_event.record() 2025-12-04T09:09:11.8874876Z >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator()) 2025-12-04T09:09:11.8875149Z >>> sum = torch.sum(tensor) 2025-12-04T09:09:11.8875336Z >>> end_event.record() 2025-12-04T09:09:11.8875550Z >>> torch.accelerator.synchronize() 2025-12-04T09:09:11.8875805Z >>> elapsed_time_ms = start_event.elapsed_time(end_event) 2025-12-04T09:09:11.8876017Z 2025-12-04T09:09:11.8876398Z Original Error: SyntaxError('invalid syntax', ('', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78)) 2025-12-04T09:09:11.8876807Z 2025-12-04T09:09:11.8877031Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:09:11.8877300Z ^ 2025-12-04T09:09:11.8877495Z warnings.warn(msg) 2025-12-04T09:09:11.8877658Z 2025-12-04T09:09:11.8877850Z --- Parse Warning: 6 / 17 --- 2025-12-04T09:09:11.8878427Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=cudart in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/__init__.py line=448. 2025-12-04T09:09:11.8879061Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:09:11.8879337Z Retrieves the CUDA runtime API module. 2025-12-04T09:09:11.8879518Z 2025-12-04T09:09:11.8879644Z 2025-12-04T09:09:11.8879862Z This function initializes the CUDA runtime environment if it is not already 2025-12-04T09:09:11.8880200Z initialized and returns the CUDA runtime API module (_cudart). The CUDA 2025-12-04T09:09:11.8880524Z runtime API module provides access to various CUDA runtime functions. 2025-12-04T09:09:11.8880770Z 2025-12-04T09:09:11.8880895Z Args: 2025-12-04T09:09:11.8881040Z ``None`` 2025-12-04T09:09:11.8881192Z 2025-12-04T09:09:11.8881317Z Returns: 2025-12-04T09:09:11.8881504Z module: The CUDA runtime API module (_cudart). 2025-12-04T09:09:11.8881710Z 2025-12-04T09:09:11.8881842Z Raises: 2025-12-04T09:09:11.8882066Z RuntimeError: If CUDA cannot be re-initialized in a forked subprocess. 2025-12-04T09:09:11.8882461Z AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable. 2025-12-04T09:09:11.8882776Z 2025-12-04T09:09:11.8882934Z Example of CUDA operations with profiling: 2025-12-04T09:09:11.8883154Z >>> import torch 2025-12-04T09:09:11.8883357Z >>> from torch.cuda import cudart, check_error 2025-12-04T09:09:11.8883558Z >>> import os 2025-12-04T09:09:11.8883727Z >>> 2025-12-04T09:09:11.8883898Z >>> os.environ["CUDA_PROFILE"] = "1" 2025-12-04T09:09:11.8884084Z >>> 2025-12-04T09:09:11.8884264Z >>> def perform_cuda_operations_with_streams(): 2025-12-04T09:09:11.8884515Z >>> stream = torch.cuda.Stream() 2025-12-04T09:09:11.8884738Z >>> with torch.cuda.stream(stream): 2025-12-04T09:09:11.8885024Z >>> x = torch.randn(100, 100, device='cuda') 2025-12-04T09:09:11.8885259Z >>> y = torch.randn(100, 100, device='cuda') 2025-12-04T09:09:11.8885483Z >>> z = torch.mul(x, y) 2025-12-04T09:09:11.8885675Z >>> return z 2025-12-04T09:09:11.8885857Z >>> 2025-12-04T09:09:11.8886019Z >>> torch.cuda.synchronize() 2025-12-04T09:09:11.8886272Z >>> print("====== Start nsys profiling ======") 2025-12-04T09:09:11.8886509Z >>> check_error(cudart().cudaProfilerStart()) 2025-12-04T09:09:11.8886750Z >>> with torch.autograd.profiler.emit_nvtx(): 2025-12-04T09:09:11.8886997Z >>> result = perform_cuda_operations_with_streams() 2025-12-04T09:09:11.8887230Z >>> print("CUDA operations completed.") 2025-12-04T09:09:11.8887476Z >>> check_error(torch.cuda.cudart().cudaProfilerStop()) 2025-12-04T09:09:11.8887714Z >>> print("====== End nsys profiling ======") 2025-12-04T09:09:11.8887904Z 2025-12-04T09:09:11.8888103Z To run this example and save the profiling information, execute: 2025-12-04T09:09:11.8888490Z >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-12-04T09:09:11.8888804Z 2025-12-04T09:09:11.8889018Z This command profiles the CUDA operations in the provided script and saves 2025-12-04T09:09:11.8889340Z the profiling information to a file named `trace_name.prof`. 2025-12-04T09:09:11.8889688Z The `--profile-from-start off` option ensures that profiling starts only 2025-12-04T09:09:11.8890031Z after the `cudaProfilerStart` call in the script. 2025-12-04T09:09:11.8890316Z The `--csv` and `--print-summary` options format the profiling output as a 2025-12-04T09:09:11.8890594Z CSV file and print a summary, respectively. 2025-12-04T09:09:11.8890885Z The `-o` option specifies the output file name, and the `-f` option forces the 2025-12-04T09:09:11.8891187Z overwrite of the output file if it already exists. 2025-12-04T09:09:11.8891402Z 2025-12-04T09:09:11.8891856Z 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)) 2025-12-04T09:09:11.8892350Z 2025-12-04T09:09:11.8892661Z $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-12-04T09:09:11.8893044Z ^ 2025-12-04T09:09:11.8893201Z warnings.warn(msg) 2025-12-04T09:09:11.8893386Z 2025-12-04T09:09:11.8893617Z --- Parse Warning: 7 / 17 --- 2025-12-04T09:09:11.8894237Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=vmap in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/apis.py line=39. 2025-12-04T09:09:11.8895021Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:09:11.8895306Z 2025-12-04T09:09:11.8895537Z vmap is the vectorizing map; ``vmap(func)`` returns a new function that 2025-12-04T09:09:11.8895882Z maps ``func`` over some dimension of the inputs. Semantically, vmap 2025-12-04T09:09:11.8896223Z pushes the map into PyTorch operations called by ``func``, effectively 2025-12-04T09:09:11.8896517Z vectorizing those operations. 2025-12-04T09:09:11.8896719Z 2025-12-04T09:09:11.8896937Z vmap is useful for handling batch dimensions: one can write a function 2025-12-04T09:09:11.8897276Z ``func`` that runs on examples and then lift it to a function that can 2025-12-04T09:09:11.8897620Z take batches of examples with ``vmap(func)``. vmap can also be used to 2025-12-04T09:09:11.8897930Z compute batched gradients when composed with autograd. 2025-12-04T09:09:11.8898169Z 2025-12-04T09:09:11.8898318Z .. note:: 2025-12-04T09:09:11.8898579Z :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for 2025-12-04T09:09:11.8898870Z convenience. Use whichever one you'd like. 2025-12-04T09:09:11.8899100Z 2025-12-04T09:09:11.8899246Z Args: 2025-12-04T09:09:11.8899483Z func (function): A Python function that takes one or more arguments. 2025-12-04T09:09:11.8899751Z Must return one or more Tensors. 2025-12-04T09:09:11.8900040Z in_dims (int or nested structure): Specifies which dimension of the 2025-12-04T09:09:11.8900331Z inputs should be mapped over. ``in_dims`` should have a 2025-12-04T09:09:11.8900622Z structure like the inputs. If the ``in_dim`` for a particular 2025-12-04T09:09:11.8900919Z input is None, then that indicates there is no map dimension. 2025-12-04T09:09:11.8901153Z Default: 0. 2025-12-04T09:09:11.8901381Z out_dims (int or Tuple[int]): Specifies where the mapped dimension 2025-12-04T09:09:11.8901677Z should appear in the outputs. If ``out_dims`` is a Tuple, then 2025-12-04T09:09:11.8901952Z it should have one element per output. Default: 0. 2025-12-04T09:09:11.8902222Z randomness (str): Specifies whether the randomness in this 2025-12-04T09:09:11.8902524Z vmap should be the same or different across batches. If 'different', 2025-12-04T09:09:11.8902827Z the randomness for each batch will be different. If 'same', the 2025-12-04T09:09:11.8903129Z randomness will be the same across batches. If 'error', any calls to 2025-12-04T09:09:11.8903444Z random functions will error. Default: 'error'. WARNING: this flag 2025-12-04T09:09:11.8903761Z only applies to random PyTorch operations and does not apply to 2025-12-04T09:09:11.8904026Z Python's random module or numpy randomness. 2025-12-04T09:09:11.8904300Z chunk_size (None or int): If None (default), apply a single vmap over inputs. 2025-12-04T09:09:11.8904725Z If not None, then compute the vmap :attr:`chunk_size` samples at a time. 2025-12-04T09:09:11.8905100Z Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop. 2025-12-04T09:09:11.8905507Z If you run into memory issues computing the vmap, please try a non-None chunk_size. 2025-12-04T09:09:11.8905812Z 2025-12-04T09:09:11.8905966Z Returns: 2025-12-04T09:09:11.8906206Z Returns a new "batched" function. It takes the same inputs as 2025-12-04T09:09:11.8906524Z ``func``, except each input has an extra dimension at the index 2025-12-04T09:09:11.8906864Z specified by ``in_dims``. It takes returns the same outputs as 2025-12-04T09:09:11.8907152Z ``func``, except each output has an extra dimension at the index 2025-12-04T09:09:11.8907388Z specified by ``out_dims``. 2025-12-04T09:09:11.8907572Z 2025-12-04T09:09:11.8907710Z .. warning: 2025-12-04T09:09:11.8907915Z :func:`vmap` works best with functional-style code. Please do not 2025-12-04T09:09:11.8908211Z perform any side-effects in ``func``, with the exception of 2025-12-04T09:09:11.8908519Z in-place PyTorch operations. Examples of side-effects include mutating 2025-12-04T09:09:11.8908843Z Python data structures and assigning values to variables not captured 2025-12-04T09:09:11.8909087Z in ``func``. 2025-12-04T09:09:11.8909248Z 2025-12-04T09:09:11.8909464Z One example of using :func:`vmap` is to compute batched dot products. PyTorch 2025-12-04T09:09:11.8909781Z doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully 2025-12-04T09:09:11.8910101Z rummaging through docs, use :func:`vmap` to construct a new function. 2025-12-04T09:09:11.8910346Z 2025-12-04T09:09:11.8910486Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:09:11.8910737Z >>> batched_dot = torch.func.vmap(torch.dot) # [N, D], [N, D] -> [N] 2025-12-04T09:09:11.8911002Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-12-04T09:09:11.8911251Z >>> batched_dot(x, y) 2025-12-04T09:09:11.8911561Z 2025-12-04T09:09:11.8911805Z :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler 2025-12-04T09:09:11.8912069Z model authoring experience. 2025-12-04T09:09:11.8912239Z 2025-12-04T09:09:11.8912391Z >>> batch_size, feature_size = 3, 5 2025-12-04T09:09:11.8912630Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-12-04T09:09:11.8912888Z >>> 2025-12-04T09:09:11.8913041Z >>> def model(feature_vec): 2025-12-04T09:09:11.8913255Z >>> # Very simple linear model with activation 2025-12-04T09:09:11.8913474Z >>> return feature_vec.dot(weights).relu() 2025-12-04T09:09:11.8913672Z >>> 2025-12-04T09:09:11.8913850Z >>> examples = torch.randn(batch_size, feature_size) 2025-12-04T09:09:11.8914081Z >>> result = torch.vmap(model)(examples) 2025-12-04T09:09:11.8914263Z 2025-12-04T09:09:11.8914487Z :func:`vmap` can also help vectorize computations that were previously difficult 2025-12-04T09:09:11.8914822Z or impossible to batch. One example is higher-order gradient computation. 2025-12-04T09:09:11.8915144Z The PyTorch autograd engine computes vjps (vector-Jacobian products). 2025-12-04T09:09:11.8915464Z Computing a full Jacobian matrix for some function f: R^N -> R^N usually 2025-12-04T09:09:11.8915800Z requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`, 2025-12-04T09:09:11.8916132Z we can vectorize the whole computation, computing the Jacobian in a single 2025-12-04T09:09:11.8916392Z call to ``autograd.grad``. 2025-12-04T09:09:11.8916562Z 2025-12-04T09:09:11.8916694Z >>> # Setup 2025-12-04T09:09:11.8916839Z >>> N = 5 2025-12-04T09:09:11.8916996Z >>> f = lambda x: x**2 2025-12-04T09:09:11.8917187Z >>> x = torch.randn(N, requires_grad=True) 2025-12-04T09:09:11.8917375Z >>> y = f(x) 2025-12-04T09:09:11.8917540Z >>> I_N = torch.eye(N) 2025-12-04T09:09:11.8917710Z >>> 2025-12-04T09:09:11.8917855Z >>> # Sequential approach 2025-12-04T09:09:11.8918105Z >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0] 2025-12-04T09:09:11.8918371Z >>> for v in I_N.unbind()] 2025-12-04T09:09:11.8918577Z >>> jacobian = torch.stack(jacobian_rows) 2025-12-04T09:09:11.8918772Z >>> 2025-12-04T09:09:11.8918934Z >>> # vectorized gradient computation 2025-12-04T09:09:11.8919137Z >>> def get_vjp(v): 2025-12-04T09:09:11.8919323Z >>> return torch.autograd.grad(y, x, v) 2025-12-04T09:09:11.8919548Z >>> jacobian = torch.vmap(get_vjp)(I_N) 2025-12-04T09:09:11.8919737Z 2025-12-04T09:09:11.8919957Z :func:`vmap` can also be nested, producing an output with multiple batched dimensions 2025-12-04T09:09:11.8920214Z 2025-12-04T09:09:11.8920363Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:09:11.8920555Z >>> batched_dot = torch.vmap( 2025-12-04T09:09:11.8920751Z ... torch.vmap(torch.dot) 2025-12-04T09:09:11.8920954Z ... ) # [N1, N0, D], [N1, N0, D] -> [N1, N0] 2025-12-04T09:09:11.8921169Z >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5) 2025-12-04T09:09:11.8921399Z >>> batched_dot(x, y) # tensor of size [2, 3] 2025-12-04T09:09:11.8921591Z 2025-12-04T09:09:11.8921809Z If the inputs are not batched along the first dimension, ``in_dims`` specifies 2025-12-04T09:09:11.8922092Z the dimension that each inputs are batched along as 2025-12-04T09:09:11.8922296Z 2025-12-04T09:09:11.8922439Z >>> torch.dot # [N], [N] -> [] 2025-12-04T09:09:11.8922691Z >>> batched_dot = torch.vmap(torch.dot, in_dims=1) # [N, D], [N, D] -> [D] 2025-12-04T09:09:11.8922963Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-12-04T09:09:11.8923165Z >>> batched_dot( 2025-12-04T09:09:11.8923318Z ... x, y 2025-12-04T09:09:11.8923565Z ... ) # output is [5] instead of [2] if batched along the 0th dimension 2025-12-04T09:09:11.8923795Z 2025-12-04T09:09:11.8924013Z If there are multiple inputs each of which is batched along different dimensions, 2025-12-04T09:09:11.8924346Z ``in_dims`` must be a tuple with the batch dimension for each input as 2025-12-04T09:09:11.8924577Z 2025-12-04T09:09:11.8924721Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:09:11.8925009Z >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None)) # [N, D], [D] -> [N] 2025-12-04T09:09:11.8925290Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-12-04T09:09:11.8925498Z >>> batched_dot( 2025-12-04T09:09:11.8925656Z ... x, y 2025-12-04T09:09:11.8925869Z ... ) # second arg doesn't have a batch dim because in_dim[1] was None 2025-12-04T09:09:11.8926103Z 2025-12-04T09:09:11.8926310Z If the input is a Python struct, ``in_dims`` must be a tuple containing a struct 2025-12-04T09:09:11.8926584Z matching the shape of the input: 2025-12-04T09:09:11.8926765Z 2025-12-04T09:09:11.8926935Z >>> f = lambda dict: torch.dot(dict["x"], dict["y"]) 2025-12-04T09:09:11.8927159Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-12-04T09:09:11.8927363Z >>> input = {"x": x, "y": y} 2025-12-04T09:09:11.8927602Z >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},)) 2025-12-04T09:09:11.8927844Z >>> batched_dot(input) 2025-12-04T09:09:11.8928017Z 2025-12-04T09:09:11.8928254Z By default, the output is batched along the first dimension. However, it can be batched 2025-12-04T09:09:11.8928546Z along any dimension by using ``out_dims`` 2025-12-04T09:09:11.8928746Z 2025-12-04T09:09:11.8928892Z >>> f = lambda x: x**2 2025-12-04T09:09:11.8929069Z >>> x = torch.randn(2, 5) 2025-12-04T09:09:11.8929277Z >>> batched_pow = torch.vmap(f, out_dims=1) 2025-12-04T09:09:11.8929735Z >>> batched_pow(x) # [5, 2] 2025-12-04T09:09:11.8929922Z 2025-12-04T09:09:11.8930169Z For any function that uses kwargs, the returned function will not batch the kwargs but will 2025-12-04T09:09:11.8930550Z accept kwargs 2025-12-04T09:09:11.8930725Z 2025-12-04T09:09:11.8930861Z >>> x = torch.randn([2, 5]) 2025-12-04T09:09:11.8931050Z >>> def fn(x, scale=4.): 2025-12-04T09:09:11.8931236Z >>> return x * scale 2025-12-04T09:09:11.8931399Z >>> 2025-12-04T09:09:11.8931571Z >>> batched_pow = torch.vmap(fn) 2025-12-04T09:09:11.8931791Z >>> assert torch.allclose(batched_pow(x), x * 4) 2025-12-04T09:09:11.8932059Z >>> batched_pow(x, scale=x) # scale is not batched, output has shape [2, 2, 5] 2025-12-04T09:09:11.8932326Z 2025-12-04T09:09:11.8932484Z .. note:: 2025-12-04T09:09:11.8932719Z vmap does not provide general autobatching or handle variable-length 2025-12-04T09:09:11.8933003Z sequences out of the box. 2025-12-04T09:09:11.8933199Z 2025-12-04T09:09:11.8933600Z Original Error: IndentationError('expected an indented block after function definition on line 4', ('', 5, 1, '_._ = None\n', 5, 2)) 2025-12-04T09:09:11.8934034Z 2025-12-04T09:09:11.8934164Z _._ = None 2025-12-04T09:09:11.8934312Z ^ 2025-12-04T09:09:11.8934445Z warnings.warn(msg) 2025-12-04T09:09:11.8934614Z 2025-12-04T09:09:11.8934882Z --- Parse Warning: 8 / 17 --- 2025-12-04T09:09:11.8935534Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=grad in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/apis.py line=306. 2025-12-04T09:09:11.8936238Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:09:11.8936617Z ``grad`` operator helps computing gradients of ``func`` with respect to the 2025-12-04T09:09:11.8936968Z input(s) specified by ``argnums``. This operator can be nested to 2025-12-04T09:09:11.8937360Z compute higher-order gradients. 2025-12-04T09:09:11.8937573Z 2025-12-04T09:09:11.8937717Z Args: 2025-12-04T09:09:11.8937946Z func (Callable): A Python function that takes one or more arguments. 2025-12-04T09:09:11.8938319Z Must return a single-element Tensor. If specified ``has_aux`` equals ``True``, 2025-12-04T09:09:11.8938733Z function can return a tuple of single-element Tensor and other auxiliary objects: 2025-12-04T09:09:11.8939094Z ``(output, aux)``. 2025-12-04T09:09:11.8939396Z argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to. 2025-12-04T09:09:11.8939775Z ``argnums`` can be single integer or tuple of integers. Default: 0. 2025-12-04T09:09:11.8940128Z has_aux (bool): Flag indicating that ``func`` returns a tensor and other 2025-12-04T09:09:11.8940452Z auxiliary objects: ``(output, aux)``. Default: False. 2025-12-04T09:09:11.8940689Z 2025-12-04T09:09:11.8940847Z Returns: 2025-12-04T09:09:11.8941102Z Function to compute gradients with respect to its inputs. By default, the output of 2025-12-04T09:09:11.8941453Z the function is the gradient tensor(s) with respect to the first argument. 2025-12-04T09:09:11.8941803Z If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects 2025-12-04T09:09:11.8942167Z is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with 2025-12-04T09:09:11.8942456Z respect to each ``argnums`` value is returned. 2025-12-04T09:09:11.8942662Z 2025-12-04T09:09:11.8942809Z Example of using ``grad``: 2025-12-04T09:09:11.8942979Z 2025-12-04T09:09:11.8943126Z >>> # xdoctest: +SKIP 2025-12-04T09:09:11.8943319Z >>> from torch.func import grad 2025-12-04T09:09:11.8943519Z >>> x = torch.randn([]) 2025-12-04T09:09:11.8943722Z >>> cos_x = grad(lambda x: torch.sin(x))(x) 2025-12-04T09:09:11.8943946Z >>> assert torch.allclose(cos_x, x.cos()) 2025-12-04T09:09:11.8944143Z >>> 2025-12-04T09:09:11.8944296Z >>> # Second-order gradients 2025-12-04T09:09:11.8944522Z >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x) 2025-12-04T09:09:11.8944891Z >>> assert torch.allclose(neg_sin_x, -x.sin()) 2025-12-04T09:09:11.8945123Z 2025-12-04T09:09:11.8945387Z When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients: 2025-12-04T09:09:11.8945688Z 2025-12-04T09:09:11.8945842Z >>> # xdoctest: +SKIP 2025-12-04T09:09:11.8946076Z >>> from torch.func import grad, vmap 2025-12-04T09:09:11.8946328Z >>> batch_size, feature_size = 3, 5 2025-12-04T09:09:11.8946537Z >>> 2025-12-04T09:09:11.8946700Z >>> def model(weights, feature_vec): 2025-12-04T09:09:11.8946925Z >>> # Very simple linear model with activation 2025-12-04T09:09:11.8947147Z >>> assert feature_vec.dim() == 1 2025-12-04T09:09:11.8947360Z >>> return feature_vec.dot(weights).relu() 2025-12-04T09:09:11.8947556Z >>> 2025-12-04T09:09:11.8947736Z >>> def compute_loss(weights, example, target): 2025-12-04T09:09:11.8947953Z >>> y = model(weights, example) 2025-12-04T09:09:11.8948183Z >>> return ((y - target) ** 2).mean() # MSELoss 2025-12-04T09:09:11.8948384Z >>> 2025-12-04T09:09:11.8948581Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-12-04T09:09:11.8948835Z >>> examples = torch.randn(batch_size, feature_size) 2025-12-04T09:09:11.8949064Z >>> targets = torch.randn(batch_size) 2025-12-04T09:09:11.8949280Z >>> inputs = (weights, examples, targets) 2025-12-04T09:09:11.8949549Z >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))( 2025-12-04T09:09:11.8949895Z ... *inputs 2025-12-04T09:09:11.8950065Z ... ) 2025-12-04T09:09:11.8950205Z 2025-12-04T09:09:11.8950392Z Example of using ``grad`` with ``has_aux`` and ``argnums``: 2025-12-04T09:09:11.8950606Z 2025-12-04T09:09:11.8950739Z >>> # xdoctest: +SKIP 2025-12-04T09:09:11.8950932Z >>> from torch.func import grad 2025-12-04T09:09:11.8951179Z >>> def my_loss_func(y, y_pred): 2025-12-04T09:09:11.8951399Z >>> loss_per_sample = (0.5 * y_pred - y) ** 2 2025-12-04T09:09:11.8951616Z >>> loss = loss_per_sample.mean() 2025-12-04T09:09:11.8951840Z >>> return loss, (y_pred, loss_per_sample) 2025-12-04T09:09:11.8952039Z >>> 2025-12-04T09:09:11.8952251Z >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True) 2025-12-04T09:09:11.8952530Z >>> y_true = torch.rand(4) 2025-12-04T09:09:11.8952748Z >>> y_preds = torch.rand(4, requires_grad=True) 2025-12-04T09:09:11.8952960Z >>> out = fn(y_true, y_preds) 2025-12-04T09:09:11.8953234Z >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample)) 2025-12-04T09:09:11.8953491Z 2025-12-04T09:09:11.8953661Z .. note:: 2025-12-04T09:09:11.8953854Z Using PyTorch ``torch.no_grad`` together with ``grad``. 2025-12-04T09:09:11.8954065Z 2025-12-04T09:09:11.8954244Z Case 1: Using ``torch.no_grad`` inside a function: 2025-12-04T09:09:11.8954443Z 2025-12-04T09:09:11.8954588Z >>> # xdoctest: +SKIP 2025-12-04T09:09:11.8954771Z >>> def f(x): 2025-12-04T09:09:11.8954949Z >>> with torch.no_grad(): 2025-12-04T09:09:11.8955142Z >>> c = x ** 2 2025-12-04T09:09:11.8955329Z >>> return x - c 2025-12-04T09:09:11.8955499Z 2025-12-04T09:09:11.8955691Z In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``. 2025-12-04T09:09:11.8955920Z 2025-12-04T09:09:11.8956099Z Case 2: Using ``grad`` inside ``torch.no_grad`` context manager: 2025-12-04T09:09:11.8956322Z 2025-12-04T09:09:11.8956465Z >>> # xdoctest: +SKIP 2025-12-04T09:09:11.8956653Z >>> with torch.no_grad(): 2025-12-04T09:09:11.8956830Z >>> grad(f)(x) 2025-12-04T09:09:11.8957000Z 2025-12-04T09:09:11.8957206Z In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the 2025-12-04T09:09:11.8957515Z outer one. This is because ``grad`` is a "function transform": its result 2025-12-04T09:09:11.8957829Z should not depend on the result of a context manager outside of ``f``. 2025-12-04T09:09:11.8958066Z 2025-12-04T09:09:11.8958186Z 2025-12-04T09:09:11.8958541Z Original Error: IndentationError('expected an indented block after function definition on line 5', ('', 6, 1, '_._ = None\n', 6, 2)) 2025-12-04T09:09:11.8958922Z 2025-12-04T09:09:11.8959053Z _._ = None 2025-12-04T09:09:11.8959193Z ^ 2025-12-04T09:09:11.8959336Z warnings.warn(msg) 2025-12-04T09:09:11.8959498Z 2025-12-04T09:09:11.8959715Z --- Parse Warning: 9 / 17 --- 2025-12-04T09:09:11.8960509Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=CustomOpDef.register_fake in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py line=402. 2025-12-04T09:09:11.8961214Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:09:11.8961530Z Register a FakeTensor implementation for this custom op. 2025-12-04T09:09:11.8961742Z 2025-12-04T09:09:11.8961964Z This is necessary to get the operator to work efficiently with torch.compile. 2025-12-04T09:09:11.8962223Z 2025-12-04T09:09:11.8962420Z The Fake impl (sometimes also known as a meta kernel or abstract impl) 2025-12-04T09:09:11.8962782Z specifies the behavior of this operator on Tensors that carry no data. 2025-12-04T09:09:11.8963076Z Given some input Tensors with certain properties 2025-12-04T09:09:11.8963371Z (sizes/strides/storage_offset/device), it specifies what the properties of 2025-12-04T09:09:11.8963647Z the output Tensors are. 2025-12-04T09:09:11.8963827Z 2025-12-04T09:09:11.8964058Z Please see :func:`torch.library.register_fake` for more details. 2025-12-04T09:09:11.8964286Z 2025-12-04T09:09:11.8964419Z Args: 2025-12-04T09:09:11.8964623Z fn (Callable): The function to register as the FakeTensor 2025-12-04T09:09:11.8964857Z implementation. 2025-12-04T09:09:11.8965035Z 2025-12-04T09:09:11.8965168Z Examples: 2025-12-04T09:09:11.8965329Z >>> import torch 2025-12-04T09:09:11.8965514Z >>> import numpy as np 2025-12-04T09:09:11.8965719Z >>> from torch import Tensor 2025-12-04T09:09:11.8965899Z >>> 2025-12-04T09:09:11.8966106Z >>> # Example 1: an operator without data-dependent output shape 2025-12-04T09:09:11.8966394Z >>> @torch.library.custom_op("mylib::linear", mutates_args=()) 2025-12-04T09:09:11.8966685Z >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-12-04T09:09:11.8966938Z >>> return (x @ weight.t()) + bias 2025-12-04T09:09:11.8967129Z >>> 2025-12-04T09:09:11.8967295Z >>> @linear.register_fake 2025-12-04T09:09:11.8967487Z >>> def _(x, weight, bias): 2025-12-04T09:09:11.8967683Z >>> assert x.dim() == 2 2025-12-04T09:09:11.8967886Z >>> assert weight.dim() == 2 2025-12-04T09:09:11.8968085Z >>> assert bias.dim() == 1 2025-12-04T09:09:11.8968301Z >>> assert x.shape[1] == weight.shape[1] 2025-12-04T09:09:11.8968534Z >>> assert weight.shape[0] == bias.shape[0] 2025-12-04T09:09:11.8968763Z >>> assert x.device == weight.device 2025-12-04T09:09:11.8968991Z >>> return x.new_empty(x.size(0), weight.size(0)) 2025-12-04T09:09:11.8969205Z >>> 2025-12-04T09:09:11.8969366Z >>> x = torch.randn(2, 2) 2025-12-04T09:09:11.8969558Z >>> weight = torch.randn(2, 2) 2025-12-04T09:09:11.8969759Z >>> bias = torch.randn(2) 2025-12-04T09:09:11.8969969Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:09:11.8970223Z >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias) 2025-12-04T09:09:11.8970486Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:09:11.8970770Z >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias)) 2025-12-04T09:09:11.8971029Z >>> 2025-12-04T09:09:11.8971230Z >>> # Example 2: an operator with data-dependent output shape 2025-12-04T09:09:11.8971526Z >>> @torch.library.custom_op("mylib::nonzero", mutates_args=()) 2025-12-04T09:09:11.8971816Z >>> def nonzero(x: Tensor) -> Tensor: 2025-12-04T09:09:11.8972029Z >>> x_np = x.cpu().numpy() 2025-12-04T09:09:11.8972257Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-12-04T09:09:11.8972522Z >>> return torch.tensor(res, device=x.device) 2025-12-04T09:09:11.8972746Z >>> 2025-12-04T09:09:11.8972929Z >>> @nonzero.register_fake 2025-12-04T09:09:11.8973132Z >>> def _(x): 2025-12-04T09:09:11.8973350Z >>> # Number of nonzero-elements is data-dependent. 2025-12-04T09:09:11.8973621Z >>> # Since we cannot peek at the data in an abstract impl, 2025-12-04T09:09:11.8973881Z >>> # we use the ctx object to construct a new symint that 2025-12-04T09:09:11.8974167Z >>> # represents the data-dependent size. 2025-12-04T09:09:11.8974393Z >>> ctx = torch.library.get_ctx() 2025-12-04T09:09:11.8974616Z >>> nnz = ctx.new_dynamic_size() 2025-12-04T09:09:11.8974832Z >>> shape = [nnz, x.dim()] 2025-12-04T09:09:11.8975067Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-12-04T09:09:11.8975341Z >>> return result 2025-12-04T09:09:11.8975524Z >>> 2025-12-04T09:09:11.8975703Z >>> x = torch.tensor([0, 1, 2, 0, 0, 1]) 2025-12-04T09:09:11.8975926Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:09:11.8976178Z >>> out = torch.compile(nonzero, fullgraph=True)(x) 2025-12-04T09:09:11.8976421Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:09:11.8976662Z >>> assert torch.allclose(out, x.nonzero()) 2025-12-04T09:09:11.8976866Z 2025-12-04T09:09:11.8977009Z 2025-12-04T09:09:11.8977388Z Original Error: IndentationError('expected an indented block after function definition on line 36', ('', 37, 1, '_._ = None\n', 37, 2)) 2025-12-04T09:09:11.8977784Z 2025-12-04T09:09:11.8977924Z _._ = None 2025-12-04T09:09:11.8978072Z ^ 2025-12-04T09:09:11.8978215Z warnings.warn(msg) 2025-12-04T09:09:11.8978387Z 2025-12-04T09:09:11.8978610Z --- Parse Warning: 10 / 17 --- 2025-12-04T09:09:11.8979268Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=unsafe_generate_fake_kernels in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/fake_profile.py line=94. 2025-12-04T09:09:11.8979987Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-12-04T09:09:11.8980474Z 2025-12-04T09:09:11.8980807Z Registers a fake kernel based on the given operator profiles. This fake 2025-12-04T09:09:11.8981282Z kernel registration will override any existing fake kernel registrations. 2025-12-04T09:09:11.8981660Z 2025-12-04T09:09:11.8981930Z The input is a dictionary mapping operator names to a set of operator 2025-12-04T09:09:11.8982337Z profiles, which we will use to generate fake kernels. The operator profiles 2025-12-04T09:09:11.8982653Z are a record of the input and output tensor metadata. Based on this 2025-12-04T09:09:11.8982975Z information we will match a given input to the recorded profile, and return 2025-12-04T09:09:11.8983313Z an output with the same metadata as in the recorded profile. If a profile 2025-12-04T09:09:11.8983590Z doesn't exist then an exception will be thrown. 2025-12-04T09:09:11.8983838Z 2025-12-04T09:09:11.8984117Z The fake kernel generation is considered unsafe because it relies on the 2025-12-04T09:09:11.8984488Z rigid, pre-defined operator profiles that do not account for potential 2025-12-04T09:09:11.8984929Z variations in output behavior. Specifically, the generated kernels assume a 2025-12-04T09:09:11.8985308Z fixed relationship between input and output ranks. However, in reality, it's 2025-12-04T09:09:11.8985714Z possible that data-dependent operations may produce outputs of different 2025-12-04T09:09:11.8986241Z ranks even when given inputs of the same rank. The generated fake kernels 2025-12-04T09:09:11.8986614Z are inflexible and unable to accommodate these nuances, making them 2025-12-04T09:09:11.8986917Z potentially unsafe. 2025-12-04T09:09:11.8987074Z 2025-12-04T09:09:11.8987211Z Args: 2025-12-04T09:09:11.8987432Z op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator 2025-12-04T09:09:11.8987795Z name to a set of operator profiles from which we will generate fake 2025-12-04T09:09:11.8988071Z kernels. 2025-12-04T09:09:11.8988227Z 2025-12-04T09:09:11.8988352Z Examples: 2025-12-04T09:09:11.8988496Z 2025-12-04T09:09:11.8988767Z >>> # Example: Registering an op-profile from draft-export 2025-12-04T09:09:11.8988999Z >>> import torch 2025-12-04T09:09:11.8989201Z >>> from torch.export._draft_export import draft_export 2025-12-04T09:09:11.8989421Z >>> 2025-12-04T09:09:11.8989631Z >>> @torch.library.custom_op("mylib::foo", mutates_args=()) 2025-12-04T09:09:11.8989889Z >>> def foo(x: Tensor, y: Tensor) -> Tensor: 2025-12-04T09:09:11.8990146Z >>> return x + y 2025-12-04T09:09:11.8990336Z >>> 2025-12-04T09:09:11.8990522Z >>> class M(torch.nn.Module): 2025-12-04T09:09:11.8990729Z >>> def forward(self, a, b): 2025-12-04T09:09:11.8990960Z >>> res = torch.ops.mylib.foo(a, b) # no fake impl 2025-12-04T09:09:11.8991186Z >>> return res 2025-12-04T09:09:11.8991358Z >>> 2025-12-04T09:09:11.8991570Z >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4)) 2025-12-04T09:09:11.8991827Z >>> 2025-12-04T09:09:11.8992097Z >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles): 2025-12-04T09:09:11.8992429Z >>> decomp = ep.run_decompositions() 2025-12-04T09:09:11.8992638Z 2025-12-04T09:09:11.8992764Z 2025-12-04T09:09:11.8993128Z Original Error: IncompleteParseError('ill-formed doctest: all parts have been processed but the doctest source is not balanced') 2025-12-04T09:09:11.8993522Z 2025-12-04T09:09:11.8993653Z warnings.warn(msg) 2025-12-04T09:09:11.8993820Z 2025-12-04T09:09:11.8994081Z --- Parse Warning: 11 / 17 --- 2025-12-04T09:09:11.8994909Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=ActivationSparsifier in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py line=16. 2025-12-04T09:09:11.8995742Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:09:11.8996007Z 2025-12-04T09:09:11.8996241Z The Activation sparsifier class aims to sparsify/prune activations in a neural 2025-12-04T09:09:11.8996584Z network. The idea is to attach the sparsifier to a layer (or layers) and it 2025-12-04T09:09:11.8996944Z zeroes out the activations based on the mask_fn (or sparsification function) 2025-12-04T09:09:11.8997219Z input by the user. 2025-12-04T09:09:11.8997451Z The mask_fn is applied once all the inputs are aggregated and reduced i.e. 2025-12-04T09:09:11.8997755Z mask = mask_fn(reduce_fn(aggregate_fn(activations))) 2025-12-04T09:09:11.8997968Z 2025-12-04T09:09:11.8998104Z Note:: 2025-12-04T09:09:11.8998364Z The sparsification mask is computed on the input **before it goes through the attached layer**. 2025-12-04T09:09:11.8998662Z 2025-12-04T09:09:11.8998799Z Args: 2025-12-04T09:09:11.8998939Z model (nn.Module): 2025-12-04T09:09:11.8999192Z The model whose layers will be sparsified. The layers that needs to be 2025-12-04T09:09:11.8999535Z sparsified should be added separately using the register_layer() function 2025-12-04T09:09:11.8999836Z aggregate_fn (Optional, Callable): 2025-12-04T09:09:11.9000123Z default aggregate_fn that is used if not specified while registering the layer. 2025-12-04T09:09:11.9000435Z specifies how inputs should be aggregated over time. 2025-12-04T09:09:11.9000760Z The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor. 2025-12-04T09:09:11.9001036Z Example 2025-12-04T09:09:11.9001241Z def add_agg_fn(tensor1, tensor2): return tensor1 + tensor2 2025-12-04T09:09:11.9001490Z reduce_fn (Optional, Callable): 2025-12-04T09:09:11.9001768Z default reduce_fn that is used if not specified while registering the layer. 2025-12-04T09:09:11.9002146Z reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after 2025-12-04T09:09:11.9002435Z calling agg_fn() on all inputs. 2025-12-04T09:09:11.9002638Z Example 2025-12-04T09:09:11.9002862Z def mean_reduce_fn(agg_tensor): return agg_tensor.mean(dim=0) 2025-12-04T09:09:11.9003114Z mask_fn (Optional, Callable): 2025-12-04T09:09:11.9003449Z default mask_fn that is used to create the sparsification mask using the tensor obtained after 2025-12-04T09:09:11.9003823Z calling the reduce_fn(). This is used by default if a custom one is passed in the 2025-12-04T09:09:11.9004089Z register_layer(). 2025-12-04T09:09:11.9004402Z Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config 2025-12-04T09:09:11.9004712Z arguments. 2025-12-04T09:09:11.9004888Z features (Optional, list): 2025-12-04T09:09:11.9005107Z default selected features to sparsify. 2025-12-04T09:09:11.9005401Z If this is non-empty, then the mask_fn will be applied for each feature of the input. 2025-12-04T09:09:11.9005682Z For example, 2025-12-04T09:09:11.9005947Z mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features] 2025-12-04T09:09:11.9006235Z feature_dim (Optional, int): 2025-12-04T09:09:11.9006527Z default dimension of input features. Again, features along this dim will be chosen 2025-12-04T09:09:11.9006808Z for sparsification. 2025-12-04T09:09:11.9007014Z sparse_config (Dict): 2025-12-04T09:09:11.9007274Z Default configuration for the mask_fn. This config will be passed 2025-12-04T09:09:11.9007537Z with the mask_fn() 2025-12-04T09:09:11.9007720Z 2025-12-04T09:09:11.9007857Z Example: 2025-12-04T09:09:11.9008012Z >>> # xdoctest: +SKIP 2025-12-04T09:09:11.9008186Z >>> model = SomeModel() 2025-12-04T09:09:11.9008444Z >>> act_sparsifier = ActivationSparsifier(...) # init activation sparsifier 2025-12-04T09:09:11.9008712Z >>> # Initialize aggregate_fn 2025-12-04T09:09:11.9008893Z >>> def agg_fn(x, y): 2025-12-04T09:09:11.9009066Z >>> return x + y 2025-12-04T09:09:11.9009235Z >>> 2025-12-04T09:09:11.9009371Z >>> # Initialize reduce_fn 2025-12-04T09:09:11.9009553Z >>> def reduce_fn(x): 2025-12-04T09:09:11.9009733Z >>> return torch.mean(x, dim=0) 2025-12-04T09:09:11.9009908Z >>> 2025-12-04T09:09:11.9010053Z >>> # Initialize mask_fn 2025-12-04T09:09:11.9010232Z >>> def mask_fn(data): 2025-12-04T09:09:11.9010427Z >>> return torch.eye(data.shape).to(data.device) 2025-12-04T09:09:11.9010633Z >>> 2025-12-04T09:09:11.9010766Z >>> 2025-12-04T09:09:11.9010914Z >>> act_sparsifier.register_layer( 2025-12-04T09:09:11.9011138Z ... model.some_layer, 2025-12-04T09:09:11.9011391Z ... aggregate_fn=agg_fn, 2025-12-04T09:09:11.9011597Z ... reduce_fn=reduce_fn, 2025-12-04T09:09:11.9011790Z ... mask_fn=mask_fn, 2025-12-04T09:09:11.9011977Z ... ) 2025-12-04T09:09:11.9012133Z >>> 2025-12-04T09:09:11.9012284Z >>> # start training process 2025-12-04T09:09:11.9012495Z >>> for _ in [...]: 2025-12-04T09:09:11.9012685Z >>> # epoch starts 2025-12-04T09:09:11.9012921Z >>> # model.forward(), compute_loss() and model.backwards() 2025-12-04T09:09:11.9013183Z >>> # epoch ends 2025-12-04T09:09:11.9013370Z >>> act_sparsifier.step() 2025-12-04T09:09:11.9013569Z >>> # end training process 2025-12-04T09:09:11.9013771Z >>> sparsifier.squash_mask() 2025-12-04T09:09:11.9013960Z 2025-12-04T09:09:11.9014359Z Original Error: IndentationError("expected an indented block after 'for' statement on line 25", ('', 26, 1, '_._ = None\n', 26, 2)) 2025-12-04T09:09:11.9014736Z 2025-12-04T09:09:11.9014869Z _._ = None 2025-12-04T09:09:11.9015011Z ^ 2025-12-04T09:09:11.9015144Z warnings.warn(msg) 2025-12-04T09:09:11.9015306Z 2025-12-04T09:09:11.9015524Z --- Parse Warning: 12 / 17 --- 2025-12-04T09:09:11.9016160Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=DeviceMesh.__getitem__ in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/device_mesh.py line=547. 2025-12-04T09:09:11.9016891Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:09:11.9017153Z 2025-12-04T09:09:11.9017389Z Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh. 2025-12-04T09:09:11.9017751Z The submesh created consists of the dimensions and the communicators indicated by 2025-12-04T09:09:11.9018026Z ``mesh_dim_names`` 2025-12-04T09:09:11.9018185Z 2025-12-04T09:09:11.9018310Z Args: 2025-12-04T09:09:11.9018532Z mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the 2025-12-04T09:09:11.9018843Z mesh dimension of the DeviceMesh to create the submesh for. 2025-12-04T09:09:11.9019061Z Returns: 2025-12-04T09:09:11.9019218Z A :class:`DeviceMesh` object 2025-12-04T09:09:11.9019403Z 2025-12-04T09:09:11.9019635Z The following program runs on each process/rank in an SPMD manner in a world size of 8. 2025-12-04T09:09:11.9019919Z In the first example: 2025-12-04T09:09:11.9020178Z Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]). 2025-12-04T09:09:11.9020522Z Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of DeviceMesh:([4, 5, 6, 7]). 2025-12-04T09:09:11.9020839Z Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of DeviceMesh:([0, 4]). 2025-12-04T09:09:11.9021152Z Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of DeviceMesh:([1, 5]). 2025-12-04T09:09:11.9021460Z Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of DeviceMesh:([2, 6]). 2025-12-04T09:09:11.9021764Z Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of DeviceMesh:([3, 7]). 2025-12-04T09:09:11.9021996Z 2025-12-04T09:09:11.9022141Z In the second example: 2025-12-04T09:09:11.9022399Z Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]). 2025-12-04T09:09:11.9022738Z Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]). 2025-12-04T09:09:11.9023092Z Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]). 2025-12-04T09:09:11.9023440Z Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]). 2025-12-04T09:09:11.9023696Z 2025-12-04T09:09:11.9023828Z Example:: 2025-12-04T09:09:11.9023975Z 2025-12-04T09:09:11.9024123Z >>> # xdoctest: +SKIP("no rank") 2025-12-04T09:09:11.9024363Z >>> from torch.distributed.device_mesh import DeviceMesh 2025-12-04T09:09:11.9024695Z >>> 2025-12-04T09:09:11.9024953Z >>> # Initialize a 2D device mesh as (2, 4) to represent the topology 2025-12-04T09:09:11.9025269Z >>> # of cross-host(dim 0), and within-host (dim 1). 2025-12-04T09:09:11.9025621Z >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-12-04T09:09:11.9025931Z >>> tp_mesh = mesh_2d["tp"] 2025-12-04T09:09:11.9026114Z >>> dp_mesh = mesh_2d["dp"] 2025-12-04T09:09:11.9026291Z >>> 2025-12-04T09:09:11.9026460Z >>> # Initialize a 3D mesh. 2025-12-04T09:09:11.9026778Z >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp")) 2025-12-04T09:09:11.9027268Z >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh. 2025-12-04T09:09:11.9027623Z >>> dp_cp_mesh = mesh_3d["dp", "cp"] 2025-12-04T09:09:11.9027861Z >>> cp_dp_mesh = mesh_3d["cp", "dp"] 2025-12-04T09:09:11.9028065Z 2025-12-04T09:09:11.9028573Z 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)) 2025-12-04T09:09:11.9029160Z 2025-12-04T09:09:11.9029662Z mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-12-04T09:09:11.9030041Z ^ 2025-12-04T09:09:11.9030281Z warnings.warn(msg) 2025-12-04T09:09:11.9030470Z 2025-12-04T09:09:11.9030717Z --- Parse Warning: 13 / 17 --- 2025-12-04T09:09:11.9031490Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=SavePlanner in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/planner.py line=122. 2025-12-04T09:09:11.9032322Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:09:11.9032623Z 2025-12-04T09:09:11.9032904Z Abstract class defining the protocol used by save_state_dict to plan the save process. 2025-12-04T09:09:11.9033234Z 2025-12-04T09:09:11.9033520Z SavePlanners are stateful objects that can be used to customize the whole save process. 2025-12-04T09:09:11.9033819Z 2025-12-04T09:09:11.9034057Z SavePlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-12-04T09:09:11.9034355Z will be visible to the whole process. 2025-12-04T09:09:11.9034537Z 2025-12-04T09:09:11.9034768Z A planner subclass can expect the following sequence of calls during save_state_dict: 2025-12-04T09:09:11.9035044Z 2025-12-04T09:09:11.9035201Z 1) set_up_planner - called on all ranks. 2025-12-04T09:09:11.9035412Z Signals the start of a checkpoint save. 2025-12-04T09:09:11.9035603Z 2025-12-04T09:09:11.9035761Z 2) create_local_plan - called on all ranks. 2025-12-04T09:09:11.9036062Z Process the state_dict and produces a `SavePlan` that will be sent for global planning. 2025-12-04T09:09:11.9036338Z 2025-12-04T09:09:11.9036528Z 3) create_global_plan - called on the coordinator rank only. 2025-12-04T09:09:11.9036814Z Takes the SavePlan from all ranks and make any global decision. 2025-12-04T09:09:11.9037047Z 2025-12-04T09:09:11.9037196Z 4) finish_plan - called on all ranks. 2025-12-04T09:09:11.9037452Z This gives each rank a chance to adjust to global planning decisions. 2025-12-04T09:09:11.9037701Z 2025-12-04T09:09:11.9037875Z 5) resolve_data - called multiple times on each rank 2025-12-04T09:09:11.9038155Z Lookups a value on the `state_dict` for the storage layer to write. 2025-12-04T09:09:11.9038388Z 2025-12-04T09:09:11.9038642Z Users are recommended to extend DefaultSavePlanner instead of this interface directly as 2025-12-04T09:09:11.9038993Z most changes can be expressed by changes in a single method. 2025-12-04T09:09:11.9039209Z 2025-12-04T09:09:11.9039367Z There are 3 usual patterns of extension: 2025-12-04T09:09:11.9039564Z 2025-12-04T09:09:11.9039783Z Rewriting state_dict. This is the simplest way to extend the save process as it 2025-12-04T09:09:11.9040141Z doesn't requite understanding the intrincacies of how SavePlan works: 2025-12-04T09:09:11.9040388Z 2025-12-04T09:09:11.9040537Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:09:11.9040757Z >>> class RenamePlanner(DefaultSavePlanner): 2025-12-04T09:09:11.9040975Z >>> def set_up_planner( 2025-12-04T09:09:11.9041149Z >>> self, 2025-12-04T09:09:11.9041317Z >>> state_dict: STATE_DICT_TYPE, 2025-12-04T09:09:11.9041617Z >>> storage_meta: Optional[StorageMeta], 2025-12-04T09:09:11.9041833Z >>> is_coordinator: bool, 2025-12-04T09:09:11.9042014Z >>> ) -> None: 2025-12-04T09:09:11.9042193Z >>> # prefix all keys with `foo_`` 2025-12-04T09:09:11.9042499Z >>> super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator) 2025-12-04T09:09:11.9042820Z 2025-12-04T09:09:11.9043086Z Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted 2025-12-04T09:09:11.9043389Z 2025-12-04T09:09:11.9043543Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:09:11.9043754Z >>> class FP16Planner(DefaultSavePlanner): 2025-12-04T09:09:11.9043965Z >>> def create_local_plan(self): 2025-12-04T09:09:11.9044177Z >>> plan = super().create_local_plan() 2025-12-04T09:09:11.9044375Z >>> for p in plan: 2025-12-04T09:09:11.9044561Z >>> if p.tensor_data is not None: 2025-12-04T09:09:11.9044812Z >>> p.tensor_data.properties.dtype = torch.float16 2025-12-04T09:09:11.9045030Z >>> return plan 2025-12-04T09:09:11.9045198Z >>> 2025-12-04T09:09:11.9045353Z >>> def resolve_data(self, write_item): 2025-12-04T09:09:11.9045563Z >>> item = super().resolve_data(write_item) 2025-12-04T09:09:11.9045864Z >>> return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16) 2025-12-04T09:09:11.9046135Z 2025-12-04T09:09:11.9046397Z Using the global planning step to make central decisions that can't be made individually by each rank 2025-12-04T09:09:11.9046690Z 2025-12-04T09:09:11.9046839Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:09:11.9047050Z >>> from itertools import zip_longest 2025-12-04T09:09:11.9047246Z >>> from dataclasses import replace 2025-12-04T09:09:11.9047486Z >>> class DDPLoadBalancingPlanner(DefaultSavePlanner): 2025-12-04T09:09:11.9047806Z >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0 2025-12-04T09:09:11.9048110Z >>> # This sample doesn't handle ShardedTensors 2025-12-04T09:09:11.9048329Z >>> def create_global_plan(self, all_plans): 2025-12-04T09:09:11.9048567Z >>> iters = [iter(all_plans[0].items)] * len(all_plans) 2025-12-04T09:09:11.9048786Z >>> items_per_rank = [ 2025-12-04T09:09:11.9048992Z >>> [item for item in items if item is not None] 2025-12-04T09:09:11.9049241Z >>> for items in zip(*zip_longest(*iters), strict=True) 2025-12-04T09:09:11.9049456Z >>> ] 2025-12-04T09:09:11.9049607Z >>> all_plans = [ 2025-12-04T09:09:11.9049798Z >>> replace(plan, items=items) 2025-12-04T09:09:11.9050047Z >>> for plan, items in zip(all_plans, items_per_rank, strict=True) 2025-12-04T09:09:11.9050276Z >>> ] 2025-12-04T09:09:11.9050452Z >>> return super().create_global_plan(all_plans) 2025-12-04T09:09:11.9050655Z 2025-12-04T09:09:11.9050879Z Finally, some planners need to save additional metadata in the checkpoint, this is 2025-12-04T09:09:11.9051235Z accomplished by having each rank contribute their data items in the local plan and 2025-12-04T09:09:11.9051532Z the global planner aggregate them: 2025-12-04T09:09:11.9051729Z 2025-12-04T09:09:11.9051883Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:09:11.9052135Z >>> class SaveExtraDataPlanner(DefaultSavePlanner): 2025-12-04T09:09:11.9052399Z >>> def create_local_plan(self) -> SavePlan: 2025-12-04T09:09:11.9052637Z >>> plan = super().create_local_plan() 2025-12-04T09:09:11.9052927Z >>> return replace(plan, planner_data="per-rank-data") 2025-12-04T09:09:11.9053170Z >>> 2025-12-04T09:09:11.9053432Z >>> def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]: 2025-12-04T09:09:11.9053826Z >>> global_plan, metadata = super().create_global_plan(all_plans) 2025-12-04T09:09:11.9054114Z >>> merged_data = [p.planner_data for p in global_plan] 2025-12-04T09:09:11.9054378Z >>> metadata = replace(metadata, planner_data=merged_data) 2025-12-04T09:09:11.9054612Z >>> return global_plan, metadata 2025-12-04T09:09:11.9054799Z 2025-12-04T09:09:11.9055164Z Original Error: IndentationError('expected an indented block after function definition on line 3', ('', 9, 0, '_._ = None\n', 9, -1)) 2025-12-04T09:09:11.9055598Z 2025-12-04T09:09:11.9055722Z _._ = None 2025-12-04T09:09:11.9055866Z ^ 2025-12-04T09:09:11.9056011Z warnings.warn(msg) 2025-12-04T09:09:11.9056169Z 2025-12-04T09:09:11.9056379Z --- Parse Warning: 14 / 17 --- 2025-12-04T09:09:11.9057038Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=LoadPlanner in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/planner.py line=305. 2025-12-04T09:09:11.9057739Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:09:11.9058004Z 2025-12-04T09:09:11.9058249Z Abstract class defining the protocol used by load_state_dict to plan the load process. 2025-12-04T09:09:11.9058532Z 2025-12-04T09:09:11.9058771Z LoadPlanner are stateful objects that can be used to customize the whole load process. 2025-12-04T09:09:11.9059060Z 2025-12-04T09:09:11.9059302Z LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-12-04T09:09:11.9059594Z will be visible to the whole process. 2025-12-04T09:09:11.9059789Z 2025-12-04T09:09:11.9060024Z A planner subclass can expect the following sequence of calls during load_state_dict: 2025-12-04T09:09:11.9060289Z 2025-12-04T09:09:11.9060447Z 1) set_up_planner - called on all ranks. 2025-12-04T09:09:11.9060677Z Signals the start of loading a checkpoint. 2025-12-04T09:09:11.9060881Z 2025-12-04T09:09:11.9061035Z 2) create_local_plan - called on all ranks. 2025-12-04T09:09:11.9061348Z Process the state_dict and produces a `LoadPlan` that will be sent for global planning. 2025-12-04T09:09:11.9061636Z 2025-12-04T09:09:11.9061824Z 3) create_global_plan - called on the coordinator rank only. 2025-12-04T09:09:11.9062125Z Takes the LoadPlan from all ranks and make any global decision. 2025-12-04T09:09:11.9062362Z 2025-12-04T09:09:11.9062527Z 4) load_bytes - called multiple times on each rank 2025-12-04T09:09:11.9062796Z This is called once per non-tensor value in state_dict. 2025-12-04T09:09:11.9062851Z 2025-12-04T09:09:11.9062993Z 5) resolve_tensor and commit_tensor - called multiple times on each rank 2025-12-04T09:09:11.9063109Z They are called in pair for each Tensor value in state_dict. 2025-12-04T09:09:11.9063173Z 2025-12-04T09:09:11.9063350Z Users are recommended to extend DefaultLoadPlanner instead of this interface directly as 2025-12-04T09:09:11.9063469Z most changes can be expressed by changes in a single method. 2025-12-04T09:09:11.9063531Z 2025-12-04T09:09:11.9063619Z There are two usual patterns of extension: 2025-12-04T09:09:11.9063674Z 2025-12-04T09:09:11.9063838Z Rewriting state_dict. This is the simplest way to extend the load process as it 2025-12-04T09:09:11.9063989Z doesn't requite understanding the intrincacies of how LoadPlan works. We need 2025-12-04T09:09:11.9064127Z to keep a reference to the original state_dict as load happens in place so 2025-12-04T09:09:11.9064222Z we need to be able to perform it in place 2025-12-04T09:09:11.9064278Z 2025-12-04T09:09:11.9064364Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:09:11.9064456Z >>> class RenamePlanner(DefaultLoadPlanner): 2025-12-04T09:09:11.9064528Z >>> def set_up_planner( 2025-12-04T09:09:11.9064596Z >>> self, 2025-12-04T09:09:11.9064833Z >>> state_dict: STATE_DICT_TYPE, 2025-12-04T09:09:11.9064920Z >>> metadata: Metadata, 2025-12-04T09:09:11.9065011Z >>> is_coordinator: bool, 2025-12-04T09:09:11.9065080Z >>> ) -> None: 2025-12-04T09:09:11.9065178Z >>> self.original_state_dict = state_dict 2025-12-04T09:09:11.9065316Z >>> state_dict = {"foo_" + k: v for k, v in state_dict.items()} 2025-12-04T09:09:11.9065419Z >>> 2025-12-04T09:09:11.9065527Z >>> if self.flatten_sharded_tensors: 2025-12-04T09:09:11.9065679Z >>> state_dict = _flatten_sharded_tensors(state_dict) 2025-12-04T09:09:11.9065759Z >>> 2025-12-04T09:09:11.9065853Z >>> if self.flatten_state_dict: 2025-12-04T09:09:11.9065984Z >>> state_dict, self.mappings = flatten_state_dict(state_dict) 2025-12-04T09:09:11.9066045Z >>> 2025-12-04T09:09:11.9066147Z >>> self.state_dict = state_dict 2025-12-04T09:09:11.9066220Z >>> self.metadata = metadata 2025-12-04T09:09:11.9066305Z >>> self.is_coordinator = is_coordinator 2025-12-04T09:09:11.9066380Z >>> 2025-12-04T09:09:11.9066493Z >>> def load_bytes(self, read_item, value): 2025-12-04T09:09:11.9066566Z >>> # Remove the "foo_" prefix 2025-12-04T09:09:11.9066760Z >>> self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False) 2025-12-04T09:09:11.9066820Z 2025-12-04T09:09:11.9066881Z 2025-12-04T09:09:11.9067038Z Modifying resolve_tensor and commit_tensor to handle load time transformation. 2025-12-04T09:09:11.9067093Z 2025-12-04T09:09:11.9067204Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:09:11.9067326Z >>> class MetaModelMaterialize(DefaultSavePlanner): 2025-12-04T09:09:11.9067404Z >>> def resolve_tensor(self, read_item): 2025-12-04T09:09:11.9067502Z >>> tensor = super().resolve_tensor(read_item) 2025-12-04T09:09:11.9067602Z >>> return torch.empty_like(tensor, device="cpu") 2025-12-04T09:09:11.9067660Z >>> 2025-12-04T09:09:11.9067760Z >>> def commit_tensor(self, read_item, tensor): 2025-12-04T09:09:11.9067865Z >>> self.state_dict[read_item.dest_index.fqn] = tensor 2025-12-04T09:09:11.9067941Z 2025-12-04T09:09:11.9068262Z Original Error: IndentationError('expected an indented block after function definition on line 22', ('', 23, 0, '_._ = None\n', 23, -1)) 2025-12-04T09:09:11.9068321Z 2025-12-04T09:09:11.9068388Z _._ = None 2025-12-04T09:09:11.9068444Z ^ 2025-12-04T09:09:11.9068511Z warnings.warn(msg) 2025-12-04T09:09:11.9068576Z 2025-12-04T09:09:11.9068763Z --- Parse Warning: 15 / 17 --- 2025-12-04T09:09:11.9069272Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=FullStateDictConfig in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/api.py line=295. 2025-12-04T09:09:11.9069431Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:09:11.9069506Z 2025-12-04T09:09:11.9069642Z ``FullStateDictConfig`` is a config class meant to be used with 2025-12-04T09:09:11.9069762Z ``StateDictType.FULL_STATE_DICT``. We recommend enabling both 2025-12-04T09:09:11.9069889Z ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state 2025-12-04T09:09:11.9070036Z dicts to save GPU memory and CPU memory, respectively. This config class 2025-12-04T09:09:11.9070162Z is meant to be used via the :func:`state_dict_type` context manager as 2025-12-04T09:09:11.9070230Z follows: 2025-12-04T09:09:11.9070287Z 2025-12-04T09:09:11.9070376Z >>> # xdoctest: +SKIP("undefined variables") 2025-12-04T09:09:11.9070526Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2025-12-04T09:09:11.9070612Z >>> fsdp = FSDP(model, auto_wrap_policy=...) 2025-12-04T09:09:11.9070779Z >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True) 2025-12-04T09:09:11.9070925Z >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg): 2025-12-04T09:09:11.9071003Z >>> state = fsdp.state_dict() 2025-12-04T09:09:11.9071133Z >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0. 2025-12-04T09:09:11.9071284Z >>> # To reload checkpoint for inference, finetuning, transfer learning, etc: 2025-12-04T09:09:11.9071459Z >>> model = model_fn() # Initialize model in preparation for wrapping with FSDP 2025-12-04T09:09:11.9071540Z >>> if dist.get_rank() == 0: 2025-12-04T09:09:11.9071655Z >>> # Load checkpoint only on rank 0 to avoid memory redundancy 2025-12-04T09:09:11.9071752Z >>> state_dict = torch.load("my_checkpoint.pt") 2025-12-04T09:09:11.9071843Z >>> model.load_state_dict(state_dict) 2025-12-04T09:09:11.9071984Z >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument 2025-12-04T09:09:11.9072129Z >>> # communicates loaded checkpoint states from rank 0 to rest of the world. 2025-12-04T09:09:11.9072203Z >>> fsdp = FSDP( 2025-12-04T09:09:11.9072264Z ... model, 2025-12-04T09:09:11.9072362Z ... device_id=torch.cuda.current_device(), 2025-12-04T09:09:11.9072436Z ... auto_wrap_policy=..., 2025-12-04T09:09:11.9072512Z ... sync_module_states=True, 2025-12-04T09:09:11.9072579Z ... ) 2025-12-04T09:09:11.9072709Z >>> # After this point, all ranks have FSDP model with loaded checkpoint. 2025-12-04T09:09:11.9072767Z 2025-12-04T09:09:11.9072835Z Attributes: 2025-12-04T09:09:11.9072960Z rank0_only (bool): If ``True``, then only rank 0 saves the full state 2025-12-04T09:09:11.9073083Z dict, and nonzero ranks save an empty dict. If ``False``, then all 2025-12-04T09:09:11.9073194Z ranks save the full state dict. (Default: ``False``) 2025-12-04T09:09:11.9073251Z 2025-12-04T09:09:11.9073532Z Original Error: IndentationError("expected an indented block after 'if' statement on line 10", ('', 11, 1, '_._ = None\n', 11, 2)) 2025-12-04T09:09:11.9073598Z 2025-12-04T09:09:11.9073656Z _._ = None 2025-12-04T09:09:11.9073719Z ^ 2025-12-04T09:09:11.9073786Z warnings.warn(msg) 2025-12-04T09:09:11.9073842Z 2025-12-04T09:09:11.9073980Z --- Parse Warning: 16 / 17 --- 2025-12-04T09:09:11.9074488Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=register_parametrization in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/parametrize.py line=437. 2025-12-04T09:09:11.9074643Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:09:11.9074746Z Register a parametrization to a tensor in a module. 2025-12-04T09:09:11.9074801Z 2025-12-04T09:09:11.9074977Z Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``, 2025-12-04T09:09:11.9075142Z the module will return the parametrized version ``parametrization(module.weight)``. 2025-12-04T09:09:11.9075300Z If the original tensor requires a gradient, the backward pass will differentiate 2025-12-04T09:09:11.9075478Z through :attr:`parametrization`, and the optimizer will update the tensor accordingly. 2025-12-04T09:09:11.9075538Z 2025-12-04T09:09:11.9075727Z The first time that a module registers a parametrization, this function will add an attribute 2025-12-04T09:09:11.9075876Z ``parametrizations`` to the module of type :class:`~ParametrizationList`. 2025-12-04T09:09:11.9075932Z 2025-12-04T09:09:11.9076096Z The list of parametrizations on the tensor ``weight`` will be accessible under 2025-12-04T09:09:11.9076185Z ``module.parametrizations.weight``. 2025-12-04T09:09:11.9076242Z 2025-12-04T09:09:11.9076342Z The original tensor will be accessible under 2025-12-04T09:09:11.9076476Z ``module.parametrizations.weight.original``. 2025-12-04T09:09:11.9076533Z 2025-12-04T09:09:11.9076701Z Parametrizations may be concatenated by registering several parametrizations 2025-12-04T09:09:11.9076771Z on the same attribute. 2025-12-04T09:09:11.9076832Z 2025-12-04T09:09:11.9076977Z The training mode of a registered parametrization is updated on registration 2025-12-04T09:09:11.9077100Z to match the training mode of the host module 2025-12-04T09:09:11.9077162Z 2025-12-04T09:09:11.9077335Z Parametrized parameters and buffers have an inbuilt caching system that can be activated 2025-12-04T09:09:11.9077419Z using the context manager :func:`cached`. 2025-12-04T09:09:11.9077483Z 2025-12-04T09:09:11.9077626Z A :attr:`parametrization` may optionally implement a method with signature 2025-12-04T09:09:11.9077683Z 2025-12-04T09:09:11.9077769Z .. code-block:: python 2025-12-04T09:09:11.9077826Z 2025-12-04T09:09:11.9077967Z def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]] 2025-12-04T09:09:11.9078021Z 2025-12-04T09:09:11.9078174Z This method is called on the unparametrized tensor when the first parametrization 2025-12-04T09:09:11.9078306Z is registered to compute the initial value of the original tensor. 2025-12-04T09:09:11.9078482Z If this method is not implemented, the original tensor will be just the unparametrized tensor. 2025-12-04T09:09:11.9078537Z 2025-12-04T09:09:11.9078724Z If all the parametrizations registered on a tensor implement `right_inverse` it is possible 2025-12-04T09:09:11.9078888Z to initialize a parametrized tensor by assigning to it, as shown in the example below. 2025-12-04T09:09:11.9078941Z 2025-12-04T09:09:11.9079084Z It is possible for the first parametrization to depend on several inputs. 2025-12-04T09:09:11.9079231Z This may be implemented returning a tuple of tensors from ``right_inverse`` 2025-12-04T09:09:11.9079378Z (see the example implementation of a ``RankOne`` parametrization below). 2025-12-04T09:09:11.9079432Z 2025-12-04T09:09:11.9079630Z In this case, the unconstrained tensors are also located under ``module.parametrizations.weight`` 2025-12-04T09:09:11.9079721Z with names ``original0``, ``original1``,... 2025-12-04T09:09:11.9079780Z 2025-12-04T09:09:11.9079840Z .. note:: 2025-12-04T09:09:11.9079905Z 2025-12-04T09:09:11.9080067Z If unsafe=False (default) both the forward and right_inverse methods will be called 2025-12-04T09:09:11.9080172Z once to perform a number of consistency checks. 2025-12-04T09:09:11.9080330Z If unsafe=True, then right_inverse will be called if the tensor is not parametrized, 2025-12-04T09:09:11.9080412Z and nothing will be called otherwise. 2025-12-04T09:09:11.9080477Z 2025-12-04T09:09:11.9080536Z .. note:: 2025-12-04T09:09:11.9080595Z 2025-12-04T09:09:11.9080733Z In most situations, ``right_inverse`` will be a function such that 2025-12-04T09:09:11.9080815Z ``forward(right_inverse(X)) == X`` (see 2025-12-04T09:09:11.9080997Z `right inverse `_). 2025-12-04T09:09:11.9081154Z Sometimes, when the parametrization is not surjective, it may be reasonable 2025-12-04T09:09:11.9081222Z to relax this. 2025-12-04T09:09:11.9081286Z 2025-12-04T09:09:11.9081348Z .. warning:: 2025-12-04T09:09:11.9081402Z 2025-12-04T09:09:11.9081581Z If a parametrization depends on several inputs, :func:`~register_parametrization` 2025-12-04T09:09:11.9081729Z will register a number of new parameters. If such parametrization is registered 2025-12-04T09:09:11.9081882Z after the optimizer is created, these new parameters will need to be added manually 2025-12-04T09:09:11.9082037Z to the optimizer. See :meth:`torch.Optimizer.add_param_group`. 2025-12-04T09:09:11.9082095Z 2025-12-04T09:09:11.9082153Z Args: 2025-12-04T09:09:11.9082289Z module (nn.Module): module on which to register the parametrization 2025-12-04T09:09:11.9082417Z tensor_name (str): name of the parameter or buffer on which to register 2025-12-04T09:09:11.9082572Z the parametrization 2025-12-04T09:09:11.9082696Z parametrization (nn.Module): the parametrization to register 2025-12-04T09:09:11.9082758Z Keyword args: 2025-12-04T09:09:11.9082900Z unsafe (bool): a boolean flag that denotes whether the parametrization 2025-12-04T09:09:11.9083016Z may change the dtype and shape of the tensor. Default: `False` 2025-12-04T09:09:11.9083165Z Warning: the parametrization is not checked for consistency upon registration. 2025-12-04T09:09:11.9083251Z Enable this flag at your own risk. 2025-12-04T09:09:11.9083307Z 2025-12-04T09:09:11.9083372Z Raises: 2025-12-04T09:09:11.9083533Z ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name` 2025-12-04T09:09:11.9083586Z 2025-12-04T09:09:11.9083654Z Examples: 2025-12-04T09:09:11.9083751Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK) 2025-12-04T09:09:11.9083822Z >>> import torch 2025-12-04T09:09:11.9083902Z >>> import torch.nn as nn 2025-12-04T09:09:11.9083997Z >>> import torch.nn.utils.parametrize as P 2025-12-04T09:09:11.9084057Z >>> 2025-12-04T09:09:11.9084145Z >>> class Symmetric(nn.Module): 2025-12-04T09:09:11.9084219Z >>> def forward(self, X): 2025-12-04T09:09:11.9084343Z >>> return X.triu() + X.triu(1).T # Return a symmetric matrix 2025-12-04T09:09:11.9084403Z >>> 2025-12-04T09:09:11.9084482Z >>> def right_inverse(self, A): 2025-12-04T09:09:11.9084566Z >>> return A.triu() 2025-12-04T09:09:11.9084625Z >>> 2025-12-04T09:09:11.9084696Z >>> m = nn.Linear(5, 5) 2025-12-04T09:09:11.9084817Z >>> P.register_parametrization(m, "weight", Symmetric()) 2025-12-04T09:09:11.9084959Z >>> print(torch.allclose(m.weight, m.weight.T)) # m.weight is now symmetric 2025-12-04T09:09:11.9085021Z True 2025-12-04T09:09:11.9085097Z >>> A = torch.rand(5, 5) 2025-12-04T09:09:11.9085174Z >>> A = A + A.T # A is now symmetric 2025-12-04T09:09:11.9085306Z >>> m.weight = A # Initialize the weight to be the symmetric matrix A 2025-12-04T09:09:11.9085389Z >>> print(torch.allclose(m.weight, A)) 2025-12-04T09:09:11.9085448Z True 2025-12-04T09:09:11.9085511Z 2025-12-04T09:09:11.9085582Z >>> class RankOne(nn.Module): 2025-12-04T09:09:11.9085659Z >>> def forward(self, x, y): 2025-12-04T09:09:11.9085764Z >>> # Form a rank 1 matrix multiplying two vectors 2025-12-04T09:09:11.9085855Z >>> return x.unsqueeze(-1) @ y.unsqueeze(-2) 2025-12-04T09:09:11.9085913Z >>> 2025-12-04T09:09:11.9086000Z >>> def right_inverse(self, Z): 2025-12-04T09:09:11.9086081Z >>> # Project Z onto the rank 1 matrices 2025-12-04T09:09:11.9086187Z >>> U, S, Vh = torch.linalg.svd(Z, full_matrices=False) 2025-12-04T09:09:11.9086271Z >>> # Return rescaled singular vectors 2025-12-04T09:09:11.9086356Z >>> s0_sqrt = S[0].sqrt().unsqueeze(-1) 2025-12-04T09:09:11.9086462Z >>> return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt 2025-12-04T09:09:11.9086520Z >>> 2025-12-04T09:09:11.9086622Z >>> linear_rank_one = P.register_parametrization( 2025-12-04T09:09:11.9086717Z ... nn.Linear(4, 4), "weight", RankOne() 2025-12-04T09:09:11.9086776Z ... ) 2025-12-04T09:09:11.9086930Z >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item()) 2025-12-04T09:09:11.9086997Z 1 2025-12-04T09:09:11.9087052Z 2025-12-04T09:09:11.9087114Z 2025-12-04T09:09:11.9087404Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 3, 0, '_._ = None\n', 3, -1)) 2025-12-04T09:09:11.9087492Z 2025-12-04T09:09:11.9087556Z _._ = None 2025-12-04T09:09:11.9087613Z ^ 2025-12-04T09:09:11.9087680Z warnings.warn(msg) 2025-12-04T09:09:11.9087744Z 2025-12-04T09:09:11.9087871Z --- Parse Warning: 17 / 17 --- 2025-12-04T09:09:11.9088361Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=ReduceLROnPlateau in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py line=1586. 2025-12-04T09:09:11.9088516Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:09:11.9088637Z Reduce learning rate when a metric has stopped improving. 2025-12-04T09:09:11.9088700Z 2025-12-04T09:09:11.9088827Z Models often benefit from reducing the learning rate by a factor 2025-12-04T09:09:11.9088945Z of 2-10 once learning stagnates. This scheduler reads a metrics 2025-12-04T09:09:11.9089073Z quantity and if no improvement is seen for a 'patience' number 2025-12-04T09:09:11.9089163Z of epochs, the learning rate is reduced. 2025-12-04T09:09:11.9089219Z 2025-12-04T09:09:11.9089287Z Args: 2025-12-04T09:09:11.9089380Z optimizer (Optimizer): Wrapped optimizer. 2025-12-04T09:09:11.9089493Z mode (str): One of `min`, `max`. In `min` mode, lr will 2025-12-04T09:09:11.9089598Z be reduced when the quantity monitored has stopped 2025-12-04T09:09:11.9089705Z decreasing; in `max` mode it will be reduced when the 2025-12-04T09:09:11.9089834Z quantity monitored has stopped increasing. Default: 'min'. 2025-12-04T09:09:11.9089945Z factor (float): Factor by which the learning rate will be 2025-12-04T09:09:11.9090039Z reduced. new_lr = lr * factor. Default: 0.1. 2025-12-04T09:09:11.9090183Z patience (int): The number of allowed epochs with no improvement after 2025-12-04T09:09:11.9090271Z which the learning rate will be reduced. 2025-12-04T09:09:11.9090420Z For example, consider the case of having no patience (`patience = 0`). 2025-12-04T09:09:11.9090628Z In the first epoch, a baseline is established and is always considered good as there's no previous baseline. 2025-12-04T09:09:11.9090756Z In the second epoch, if the performance is worse than the baseline, 2025-12-04T09:09:11.9090864Z we have what is considered an intolerable epoch. 2025-12-04T09:09:11.9091021Z Since the count of intolerable epochs (1) is greater than the patience level (0), 2025-12-04T09:09:11.9091133Z the learning rate is reduced at the end of this epoch. 2025-12-04T09:09:11.9091332Z From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch 2025-12-04T09:09:11.9091514Z if the performance is worse than the baseline. If the performance improves or remains the same, 2025-12-04T09:09:11.9091608Z the learning rate is not adjusted. 2025-12-04T09:09:11.9091681Z Default: 10. 2025-12-04T09:09:11.9091816Z threshold (float): Threshold for measuring the new optimum, 2025-12-04T09:09:11.9091934Z to only focus on significant changes. Default: 1e-4. 2025-12-04T09:09:11.9092053Z threshold_mode (str): One of `rel`, `abs`. In `rel` mode, 2025-12-04T09:09:11.9092163Z dynamic_threshold = best * ( 1 + threshold ) in 'max' 2025-12-04T09:09:11.9092277Z mode or best * ( 1 - threshold ) in `min` mode. 2025-12-04T09:09:11.9092430Z In `abs` mode, dynamic_threshold = best + threshold in 2025-12-04T09:09:11.9092567Z `max` mode or best - threshold in `min` mode. Default: 'rel'. 2025-12-04T09:09:11.9092689Z cooldown (int): Number of epochs to wait before resuming 2025-12-04T09:09:11.9092811Z normal operation after lr has been reduced. Default: 0. 2025-12-04T09:09:11.9092980Z min_lr (float or list): A scalar or a list of scalars. A 2025-12-04T09:09:11.9093091Z lower bound on the learning rate of all param groups 2025-12-04T09:09:11.9093191Z or each group respectively. Default: 0. 2025-12-04T09:09:11.9093321Z eps (float): Minimal decay applied to lr. If the difference 2025-12-04T09:09:11.9093442Z between new and old lr is smaller than eps, the update is 2025-12-04T09:09:11.9093539Z ignored. Default: 1e-8. 2025-12-04T09:09:11.9093597Z 2025-12-04T09:09:11.9093664Z Example: 2025-12-04T09:09:11.9093742Z >>> # xdoctest: +SKIP 2025-12-04T09:09:11.9093887Z >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9) 2025-12-04T09:09:11.9093990Z >>> scheduler = ReduceLROnPlateau(optimizer, "min") 2025-12-04T09:09:11.9094074Z >>> for epoch in range(10): 2025-12-04T09:09:11.9094142Z >>> train(...) 2025-12-04T09:09:11.9094221Z >>> val_loss = validate(...) 2025-12-04T09:09:11.9094340Z >>> # Note that step should be called after validate() 2025-12-04T09:09:11.9094419Z >>> scheduler.step(val_loss) 2025-12-04T09:09:11.9094484Z 2025-12-04T09:09:11.9094605Z .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png 2025-12-04T09:09:11.9094662Z 2025-12-04T09:09:11.9094903Z Original Error: IndentationError('unexpected indent', ('', 8, 4, ' scheduler.step(val_loss)\n', 8, -1)) 2025-12-04T09:09:11.9094959Z 2025-12-04T09:09:11.9095038Z scheduler.step(val_loss) 2025-12-04T09:09:11.9095103Z ^ 2025-12-04T09:09:11.9095170Z warnings.warn(msg) 2025-12-04T09:09:11.9095225Z 2025-12-04T09:09:11.9095309Z  2025-12-04T09:09:11.9095429Z === Found 10 run-time warnings === 2025-12-04T09:09:11.9095560Z --- Runtime Warning: 1 / 10 --- 2025-12-04T09:09:11.9095690Z example = 2025-12-04T09:09:11.9096463Z :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() 2025-12-04T09:09:11.9096528Z 2025-12-04T09:09:11.9096650Z --- Runtime Warning: 2 / 10 --- 2025-12-04T09:09:11.9096820Z example = 2025-12-04T09:09:11.9097534Z /opt/conda/envs/py_3.13/lib/python3.13/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.) 2025-12-04T09:09:11.9097615Z return super().refine_names(names) 2025-12-04T09:09:11.9097678Z 2025-12-04T09:09:11.9097791Z --- Runtime Warning: 3 / 10 --- 2025-12-04T09:09:11.9097970Z example = 2025-12-04T09:09:11.9098300Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py:275: UserWarning: Warning only once for all operators, other operators may also be overridden. 2025-12-04T09:09:11.9098515Z Overriding a previously registered kernel for the same operator and the same dispatch key 2025-12-04T09:09:11.9098649Z operator: aten::div.Tensor(Tensor self, Tensor other) -> Tensor 2025-12-04T09:09:11.9098824Z registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSchema.cpp:6 2025-12-04T09:09:11.9098900Z dispatch key: CPU 2025-12-04T09:09:11.9099137Z previous kernel: registered at /var/lib/jenkins/workspace/aten/src/ATen/LegacyBatchingRegistrations.cpp:1079 2025-12-04T09:09:11.9099677Z new kernel: registered at :1 (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/core/dispatch/OperatorEntry.cpp:215.) 2025-12-04T09:09:11.9099792Z impl_fn(self.ns, name.split("::")[-1], dispatch_key) 2025-12-04T09:09:11.9099850Z 2025-12-04T09:09:11.9099972Z --- Runtime Warning: 4 / 10 --- 2025-12-04T09:09:11.9100114Z example = 2025-12-04T09:09:11.9101049Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nested/__init__.py:117: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. We recommend specifying layout=torch.jagged when constructing a nested tensor, as this layout receives active development, has better operator coverage, and works with torch.compile. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/NestedTensorImpl.cpp:182.) 2025-12-04T09:09:11.9101210Z return torch._nested_tensor_from_tensor_list(ts, dtype, None, device, None) 2025-12-04T09:09:11.9101264Z 2025-12-04T09:09:11.9101383Z --- Runtime Warning: 5 / 10 --- 2025-12-04T09:09:11.9101528Z example = 2025-12-04T09:09:11.9102357Z :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.) 2025-12-04T09:09:11.9102412Z 2025-12-04T09:09:11.9102523Z --- Runtime Warning: 6 / 10 --- 2025-12-04T09:09:11.9102709Z example = 2025-12-04T09:09:11.9103497Z /opt/conda/envs/py_3.13/lib/python3.13/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 2025-12-04T09:09:11.9103617Z new_node = root_const_gm.graph.get_attr(in_node.target) 2025-12-04T09:09:11.9103677Z 2025-12-04T09:09:11.9103794Z --- Runtime Warning: 7 / 10 --- 2025-12-04T09:09:11.9103974Z example = 2025-12-04T09:09:11.9104579Z /opt/conda/envs/py_3.13/lib/python3.13/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) 2025-12-04T09:09:11.9104789Z self.encoder = TransformerEncoder( 2025-12-04T09:09:11.9104859Z 2025-12-04T09:09:11.9104998Z --- Runtime Warning: 8 / 10 --- 2025-12-04T09:09:11.9105225Z example = 2025-12-04T09:09:11.9106077Z :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) 2025-12-04T09:09:11.9106147Z 2025-12-04T09:09:11.9106263Z --- Runtime Warning: 9 / 10 --- 2025-12-04T09:09:11.9106426Z example = 2025-12-04T09:09:11.9106907Z /opt/conda/envs/py_3.13/lib/python3.13/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`. 2025-12-04T09:09:11.9106991Z WeightNorm.apply(module, name, dim) 2025-12-04T09:09:11.9107048Z 2025-12-04T09:09:11.9107182Z --- Runtime Warning: 10 / 10 --- 2025-12-04T09:09:11.9107362Z example = 2025-12-04T09:09:11.9107799Z /opt/conda/envs/py_3.13/lib/python3.13/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`. 2025-12-04T09:09:11.9107882Z WeightNorm.apply(module, name, dim) 2025-12-04T09:09:11.9107940Z 2025-12-04T09:09:11.9108130Z === 378 passed, 516 skipped, 27 warnings in 10.60 seconds === 2025-12-04T09:09:11.9108278Z Finished doctests 1/1 ... [2025-12-04 09:09:11.883651][892.300701053], took 0.18min 2025-12-04T09:09:11.9108415Z Running nn/test_pooling 1/1 ... [2025-12-04 09:09:11.884956][892.302015804] 2025-12-04T09:09:11.9108502Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:11.9108959Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'nn/test_pooling.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:09:11.885302] 2025-12-04T09:10:36.7199447Z 2025-12-04T09:10:36.7200307Z nn/test_pooling 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_pooling_1.1_e3f405a850a82e4b_.log 2025-12-04T09:10:36.7238799Z 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 2025-12-04T09:10:36.7273028Z 2025-12-04T09:10:36.7273205Z Finished nn/test_pooling 1/1 ... [2025-12-04 09:10:36.719196][977.136251985], took 1.41min 2025-12-04T09:10:36.7273848Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_pooling/nn.test_pooling-468c1170f10934ee.xml 2025-12-04T09:10:36.7985931Z Running test_autocast 1/1 ... [2025-12-04 09:10:36.797969][977.215027057] 2025-12-04T09:10:36.7986296Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:36.8008300Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_autocast.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:10:36.799963] 2025-12-04T09:10:46.6427739Z 2025-12-04T09:10:46.6428434Z test_autocast 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autocast_1.1_46380afb75495663_.log 2025-12-04T09:10:46.6432452Z 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 2025-12-04T09:10:46.6435482Z 2025-12-04T09:10:46.6435659Z Finished test_autocast 1/1 ... [2025-12-04 09:10:46.642196][987.059253675], took 0.16min 2025-12-04T09:10:46.6436225Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_autocast/test_autocast-06dc75f78290ff5a.xml 2025-12-04T09:10:46.7276600Z Running test_autograd_fallback 1/1 ... [2025-12-04 09:10:46.726878][987.143935917] 2025-12-04T09:10:46.7276937Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:46.7277550Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_autograd_fallback.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:10:46.727157] 2025-12-04T09:10:55.4642570Z 2025-12-04T09:10:55.4643387Z test_autograd_fallback 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autograd_fallback_1.1_f86f4cb410a30aed_.log 2025-12-04T09:10:55.4650461Z 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 2025-12-04T09:10:55.4656974Z 2025-12-04T09:10:55.4657189Z Finished test_autograd_fallback 1/1 ... [2025-12-04 09:10:55.463671][995.880730845], took 0.15min 2025-12-04T09:10:55.4657879Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_autograd_fallback/test_autograd_fallback-d849a02220fbe9c1.xml 2025-12-04T09:10:55.5321948Z Running test_autoload_disable 1/1 ... [2025-12-04 09:10:55.531278][995.948338592] 2025-12-04T09:10:55.9704544Z Processing /var/lib/jenkins/workspace/test/cpp_extensions 2025-12-04T09:10:58.0389786Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:10:58.0390304Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension 2025-12-04T09:11:05.6457338Z Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ done 2025-12-04T09:11:05.6562288Z [?25h Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp313-cp313-linux_x86_64.whl size=10135048 sha256=7903975959f4b2ecd69cc636c55d1f4561d05db829f388e120b920c5be38d9f2 2025-12-04T09:11:05.6563151Z Stored in directory: /tmp/pip-ephem-wheel-cache-9x0s2ip9/wheels/55/0c/23/e830c2c3ad8ea6f122c5bd80ddd259405d4a52266f20ee6037 2025-12-04T09:11:05.6590764Z Successfully built torch_test_cpp_extension 2025-12-04T09:11:05.7725531Z Installing collected packages: torch_test_cpp_extension 2025-12-04T09:11:05.9279120Z Successfully installed torch_test_cpp_extension-0.0.0 2025-12-04T09:11:07.5699366Z 2025-12-04T09:11:07.5699907Z Running tests... 2025-12-04T09:11:07.5700627Z ---------------------------------------------------------------------- 2025-12-04T09:11:07.9821060Z . 2025-12-04T09:11:07.9821451Z ---------------------------------------------------------------------- 2025-12-04T09:11:07.9821785Z Ran 1 test in 0.413s 2025-12-04T09:11:07.9821929Z 2025-12-04T09:11:07.9821999Z OK 2025-12-04T09:11:07.9822094Z 2025-12-04T09:11:07.9822211Z Generating XML reports... 2025-12-04T09:11:08.4618703Z Finished test_autoload_disable 1/1 ... [2025-12-04 09:11:08.461148][1008.878197261], took 0.22min 2025-12-04T09:11:08.4625864Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-unittest/test_autoload/TEST-TestDeviceBackendAutoload-20251204091107.xml 2025-12-04T09:11:08.5396987Z Running test_ci_sanity_check_fail 1/1 ... [2025-12-04 09:11:08.539070][1008.956129282] 2025-12-04T09:11:08.5397347Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:11:08.5398017Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_ci_sanity_check_fail.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:11:08.539352] 2025-12-04T09:11:19.6873492Z Finished test_ci_sanity_check_fail 1/1 ... [2025-12-04 09:11:19.686355][1020.103412466], took 0.19min 2025-12-04T09:11:19.6877784Z Running test_cpp_api_parity 1/1 ... [2025-12-04 09:11:19.687459][1020.104522496] 2025-12-04T09:11:19.6878197Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:11:19.6878834Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_cpp_api_parity.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:11:19.687682] 2025-12-04T09:15:37.5882728Z 2025-12-04T09:15:37.5883680Z 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_69a398fd6b0ea8b2_.log 2025-12-04T09:15:37.6064415Z Running 488 items in this shard: test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_mean, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_mean_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_none, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_none_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_sum, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_sum_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_mean, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_mean_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_none, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_none_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_sum, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_sum_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_circular_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_circular_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_dilated, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_dilated_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_groups, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_groups_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad1, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad1_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad1size1, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad1size1_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad2size1, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad2size1_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_same, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_same2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_same2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_same_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_same_dilated, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_same_dilated_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_valid, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_valid_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_reflect_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_reflect_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_replicate_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_replicate_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_stride, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_stride_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_zero_batch, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_zero_batch_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_zeros_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_zeros_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_circular_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_circular_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise_dilated, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise_dilated_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise_padded, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise_padded_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise_strided, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise_strided_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise_with_multiplier, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise_with_multiplier_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_dilated, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_dilated_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_groups, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_groups_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_groups_thnn, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_groups_thnn_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_no_bias, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_no_bias_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_pad_same, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_pad_same_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_pad_same_dilated, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_pad_same_dilated_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_pad_valid, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_pad_valid_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_padding, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_padding_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_reflect_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_reflect_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_replicate_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_replicate_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_strided, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_strided_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_zero_batch, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_zero_batch_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_zeros_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_zeros_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_1x1x1_no_bias, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_1x1x1_no_bias_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_circular_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_circular_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_dilated, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_dilated_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_dilated_strided, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_dilated_strided_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_groups, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_groups_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_no_bias, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_no_bias_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_pad_same, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_pad_same_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_pad_same_dilated, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_pad_same_dilated_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_pad_valid, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_pad_valid_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_replicate_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_replicate_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_stride, 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test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_ConvTranspose1d_groups, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_ConvTranspose1d_groups_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_ConvTranspose1d_no_bias, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_ConvTranspose1d_no_bias_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_ConvTranspose2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_ConvTranspose2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_ConvTranspose2d_dilated, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_ConvTranspose2d_dilated_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_ConvTranspose2d_groups, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_ConvTranspose2d_groups_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_ConvTranspose2d_no_bias, 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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 2025-12-04T09:15:37.6221003Z 2025-12-04T09:15:37.6221238Z Finished test_cpp_api_parity 1/1 ... [2025-12-04 09:15:37.588871][1278.005925094], took 4.30min 2025-12-04T09:15:37.6221990Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_api_parity/test_cpp_api_parity-2b1d634802a60849.xml 2025-12-04T09:15:37.6810643Z Running test_cuda_primary_ctx 1/1 ... [2025-12-04 09:15:37.680272][1278.097329624] 2025-12-04T09:15:37.6811017Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:37.6811677Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_cuda_primary_ctx.py', '--shard-id=1', '--num-shards=1', '-v', '--subprocess', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:15:37.680524] 2025-12-04T09:15:39.7310954Z 2025-12-04T09:15:39.7311705Z 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_8265cdcc8f966f36_.log 2025-12-04T09:15:39.7312215Z Running 0 items in this shard: 2025-12-04T09:15:39.7312354Z 2025-12-04T09:15:39.7312561Z Finished test_cuda_primary_ctx 1/1 ... [2025-12-04 09:15:39.730768][1280.147828342], took 0.03min 2025-12-04T09:15:39.7321367Z Running test_jit_disabled 1/1 ... [2025-12-04 09:15:39.731962][1280.149024761] 2025-12-04T09:15:39.7321794Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:39.7323757Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_jit_disabled.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:15:39.732189] 2025-12-04T09:15:42.5045722Z 2025-12-04T09:15:42.5046662Z test_jit_disabled 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_disabled_1.1_364333a86e9103e7_.log 2025-12-04T09:15:42.5047605Z Running 3 items in this shard: test/test_jit_disabled.py::TestJitDisabled::test_attribute, test/test_jit_disabled.py::TestJitDisabled::test_recursive_script, test/test_jit_disabled.py::TestJitDisabled::test_script_module_construction 2025-12-04T09:15:42.5048183Z 2025-12-04T09:15:42.5048349Z Finished test_jit_disabled 1/1 ... [2025-12-04 09:15:42.503871][1282.920929818], took 0.05min 2025-12-04T09:15:42.5056250Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_jit_disabled/test_jit_disabled-d5f7c89f6d0eb7b5.xml 2025-12-04T09:15:42.5444078Z Running test_mobile_optimizer 1/1 ... [2025-12-04 09:15:42.543754][1282.960811859] 2025-12-04T09:15:42.5444538Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:42.5445206Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_mobile_optimizer.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:15:42.543997] 2025-12-04T09:15:53.9881062Z 2025-12-04T09:15:53.9881926Z test_mobile_optimizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mobile_optimizer_1.1_3316945776668af7_.log 2025-12-04T09:15:53.9883627Z 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 2025-12-04T09:15:53.9884904Z 2025-12-04T09:15:53.9885109Z Finished test_mobile_optimizer 1/1 ... [2025-12-04 09:15:53.987364][1294.404422378], took 0.19min 2025-12-04T09:15:53.9886819Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_mobile_optimizer/test_mobile_optimizer-398ac00210a2482c.xml 2025-12-04T09:15:54.0674243Z Running test_multiprocessing 1/1 ... [2025-12-04 09:15:54.066745][1294.483804568] 2025-12-04T09:15:54.0674650Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:54.0678611Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_multiprocessing.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:15:54.066971] 2025-12-04T09:17:05.6648721Z 2025-12-04T09:17:05.6649959Z test_multiprocessing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_1.1_32699bcade1d284d_.log 2025-12-04T09:17:05.6664460Z 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 2025-12-04T09:17:05.6678995Z 2025-12-04T09:17:05.6679328Z Finished test_multiprocessing 1/1 ... [2025-12-04 09:17:05.664029][1366.081089068], took 1.19min 2025-12-04T09:17:05.6680525Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_multiprocessing/test_multiprocessing-fb3d4b42f15bfd8e.xml 2025-12-04T09:17:05.7366909Z Running test_multiprocessing_spawn 1/1 ... [2025-12-04 09:17:05.735893][1366.152951165] 2025-12-04T09:17:05.7367696Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:17:05.7368340Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_multiprocessing_spawn.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:17:05.736115] 2025-12-04T09:18:43.6511032Z 2025-12-04T09:18:43.6512485Z test_multiprocessing_spawn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_spawn_1.1_e1fe644222c7877c_.log 2025-12-04T09:18:43.6522834Z 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 2025-12-04T09:18:43.6533919Z 2025-12-04T09:18:43.6534296Z Finished test_multiprocessing_spawn 1/1 ... [2025-12-04 09:18:43.650601][1464.067659014], took 1.63min 2025-12-04T09:18:43.6535494Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_multiprocessing_spawn/test_multiprocessing_spawn-29251135dde79106.xml 2025-12-04T09:18:43.7303222Z Running test_nn 1/3 ... [2025-12-04 09:18:43.729045][1464.146102622] 2025-12-04T09:18:43.7303687Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:18:43.7304327Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_nn.py', '--shard-id=1', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:18:43.730114] 2025-12-04T09:25:54.1687661Z 2025-12-04T09:25:54.1688809Z test_nn 1/3 was successful, full logs can be found in artifacts with path test/test-reports/test_nn_1.3_f791d9873263642c_.log 2025-12-04T09:25:54.1907148Z Running 784 items in this shard: test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_none, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_BCELoss_no_reduce_cuda, test/test_nn.py::TestNN::test_BCELoss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_BCELoss_weights_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_legacy_enum_cuda, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_none, 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_long_targets, test/test_nn.py::TestNN::test_CTCLoss_zero_infinity, test/test_nn.py::TestNN::test_Conv1d, test/test_nn.py::TestNN::test_Conv1d_dilated_cuda, test/test_nn.py::TestNN::test_Conv1d_groups, test/test_nn.py::TestNN::test_Conv1d_pad_same, test/test_nn.py::TestNN::test_Conv1d_pad_valid, test/test_nn.py::TestNN::test_Conv1d_reflect_stride2_pad2, test/test_nn.py::TestNN::test_Conv1d_replicate_stride2_pad2, test/test_nn.py::TestNN::test_Conv1d_stride, 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_depthwise_dilated, test/test_nn.py::TestNN::test_Conv2d_depthwise_padded, test/test_nn.py::TestNN::test_Conv2d_depthwise_strided_cuda, test/test_nn.py::TestNN::test_Conv2d_groups_thnn, test/test_nn.py::TestNN::test_Conv2d_groups_thnn_with_long_tensor, 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_valid_cuda, test/test_nn.py::TestNN::test_Conv2d_padding, test/test_nn.py::TestNN::test_Conv2d_padding_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_reflect_stride2_pad2_cuda, 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_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_cuda, test/test_nn.py::TestNN::test_Conv2d_zero_batch, 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_cuda, test/test_nn.py::TestNN::test_Conv3d_circular_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv3d_dilated, test/test_nn.py::TestNN::test_Conv3d_no_bias_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_pad_same_cuda, test/test_nn.py::TestNN::test_Conv3d_pad_same_dilated_cuda, test/test_nn.py::TestNN::test_Conv3d_pad_valid_cuda, 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_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_with_long_tensor_cuda, 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_ConvTranspose1d, test/test_nn.py::TestNN::test_ConvTranspose1d_dilated_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_dilated_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated_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_with_long_tensor, test/test_nn.py::TestNN::test_ConvTranspose3d, test/test_nn.py::TestNN::test_ConvTranspose3d_dilated_cuda, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_CrossMapLRN2d, test/test_nn.py::TestNN::test_ELU_no_batch_dim, 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_padding_idx_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_sparse_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_sum_padding_idx, test/test_nn.py::TestNN::test_Embedding_sparse, test/test_nn.py::TestNN::test_Embedding_sparse_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_GLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Hardswish_no_batch_dim, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_HuberLoss_delta_cuda, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_sum_cuda_double, 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_half, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_cuda, 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_with_target_no_reduce_cuda, 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_half, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_none, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_sum, test/test_nn.py::TestNN::test_L1Loss_no_reduce_complex_cuda, test/test_nn.py::TestNN::test_LSTM_cell, test/test_nn.py::TestNN::test_LayerNorm_3d_no_affine_large_feature_eval_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_bias, test/test_nn.py::TestNN::test_Linear_no_bias_cuda, 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_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_reduce, 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_half, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_none_cuda_float, 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_MaxUnpool1d_net, test/test_nn.py::TestNN::test_MaxUnpool1d_net_no_batch_dim_cuda, test/test_nn.py::TestNN::test_MaxUnpool2d_net_no_batch_dim, test/test_nn.py::TestNN::test_MaxUnpool3d_net_cuda, test/test_nn.py::TestNN::test_MaxUnpool3d_net_no_batch_dim_cuda, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_0d_no_reduce_cuda, 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_no_batch_dim_mean, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_none, 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_none_cuda_double, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_double, 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_MultiMarginLoss_margin_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_no_reduce, 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_NLLLoss2d_no_reduce, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_weights_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_ignore_index_cuda, 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_cuda, test/test_nn.py::TestNN::test_PairwiseDistance_no_batch_dim, test/test_nn.py::TestNN::test_PairwiseDistance_with_non_default_args, test/test_nn.py::TestNN::test_ParameterDict, test/test_nn.py::TestNN::test_ParameterDict_replication, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_mean_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_cuda, test/test_nn.py::TestNN::test_RNN_cell, test/test_nn.py::TestNN::test_RNN_cpu_vs_cudnn_no_dropout, test/test_nn.py::TestNN::test_RNN_cudnn_weight_norm, 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_RReLU_with_up_down_scalar, test/test_nn.py::TestNN::test_ReLU6_no_batch_dim, test/test_nn.py::TestNN::test_ReLU_no_batch_dim, test/test_nn.py::TestNN::test_ReplicationPad3d, test/test_nn.py::TestNN::test_ReplicationPad3d_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Sequential_imul, test/test_nn.py::TestNN::test_Sequential_insert_fail_case, 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_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_sum_cuda_double, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_sum_cuda_float, 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_SoftMarginLoss_no_batch_dim_none_cuda_double, 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_reduce, test/test_nn.py::TestNN::test_SoftMarginLoss_no_reduce_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_Threshold_no_batch_dim, test/test_nn.py::TestNN::test_Threshold_no_batch_dim_cuda, test/test_nn.py::TestNN::test_TransformerEncoderLayer_relu_activation, test/test_nn.py::TestNN::test_Transformer_cell, test/test_nn.py::TestNN::test_Transformer_multilayer_coder, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_mean_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_Unflatten_no_batch_dim, test/test_nn.py::TestNN::test_Unfold_cuda, test/test_nn.py::TestNN::test_Unfold_int_input, 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_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_NHWC_vs_NCHW_mixed_bfloat16, 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_mixed_float16, 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_native_mixed_bfloat16, 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_float16, 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_native_float32, test/test_nn.py::TestNN::test_batchnorm_2D_train_NHWC_vs_native_mixed_bfloat16, 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_float16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_native_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_mixed_bfloat16, 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_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NHWC_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_cudnn_half, test/test_nn.py::TestNN::test_batchnorm_nhwc_cpu, 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_bce_with_logits_broadcasts_weights, test/test_nn.py::TestNN::test_bce_with_logits_ones_in_pos_weights_are_the_same_as_none, test/test_nn.py::TestNN::test_broadcast_no_grad, test/test_nn.py::TestNN::test_buffer_not_persistent_overwrite, test/test_nn.py::TestNN::test_channel_shuffle_return_alias_of_self, test/test_nn.py::TestNN::test_cosine_embedding_loss_error_on_diff_shapes, test/test_nn.py::TestNN::test_cosine_embedding_loss_no_reduce, 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_tying, test/test_nn.py::TestNN::test_dir, test/test_nn.py::TestNN::test_elu_inplace_gradgrad, test/test_nn.py::TestNN::test_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_get_buffer, test/test_nn.py::TestNN::test_grid_sample, test/test_nn.py::TestNN::test_grid_sample_3d, test/test_nn.py::TestNN::test_hardtanh_inplace_gradgrad, 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_scale_2d_cuda, 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_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_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_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_tuple_2d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_linear_1d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_linear_tuple_1d, 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_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_3d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_scale_2d, test/test_nn.py::TestNN::test_interpolate_nearest_scale_3d, 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_trilinear_3d_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_tuple_3d_align_corners_cuda, test/test_nn.py::TestNN::test_layer_norm_eps, test/test_nn.py::TestNN::test_layer_norm_grads_with_create_graph_flag, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_bias_weightCOO, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_bias_weightCSC, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_bias_weightCSR, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_bias_weightStrided, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_nobias_weightCSC, 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_cuda, 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_loss_equal_input_target_shape, test/test_nn.py::TestNN::test_module_apply_inplace_op, test/test_nn.py::TestNN::test_module_super_init, test/test_nn.py::TestNN::test_module_to_argparse, test/test_nn.py::TestNN::test_mse_loss_size_warning, test/test_nn.py::TestNN::test_nested_tensor_from_mask_error, test/test_nn.py::TestNN::test_non_leaf_parameters, test/test_nn.py::TestNN::test_normalize, test/test_nn.py::TestNN::test_pairwise_distance, 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_partial_flat_weights, 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_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_unshuffle, test/test_nn.py::TestNN::test_pointwise_loss_broadcast, 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_not_tensor, test/test_nn.py::TestNN::test_repr, test/test_nn.py::TestNN::test_rnn_check_device, 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_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_spatial, test/test_nn.py::TestNN::test_softmax_spatial_cuda, 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_pickle, test/test_nn.py::TestNN::test_sync_batchnorm_backward_elemt, test/test_nn.py::TestNN::test_threshold_int, test/test_nn.py::TestNN::test_to, test/test_nn.py::TestNN::test_triplet_margin_loss, test/test_nn.py::TestNN::test_unflatten, test/test_nn.py::TestNN::test_upsamplingLinear1d_spatial_invariance, test/test_nn.py::TestNN::test_upsampling_bfloat16, test/test_nn.py::TestNN::test_upsampling_small_scale, test/test_nn.py::TestNN::test_vector_to_parameters, test/test_nn.py::TestConstantPadNd::test_constant_pad_nd, test/test_nn.py::TestConstantPadNd::test_preserves_memory_format, test/test_nn.py::TestFusionUtils::test_fuse_linear_bn_requires_grad, test/test_nn.py::TestNNDeviceTypeCPU::test_BatchNorm_empty_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_cudnn_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_sum_use_module_form_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_GroupNorm_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_GroupNorm_raises_error_if_one_value_per_group_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_InstanceNorm2d_general_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_LSTM_differentiable_backward_using_oneDNN_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_MarginLoss_race_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad2d_large_deterministic_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReplicationPad1d_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_TransformerEncoder_empty_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_avg_pool_large_tensor_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_affine_cpu_float32, 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_float32, 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_2_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_1_5_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_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_value_foreach_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_conv_empty_input_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_64bit_reduction_mean_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_64bit_reduction_sum_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_label_smoothing_weight_ignore_indices_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_large_tensor_reduction_none_cpu, 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_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_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_cudnn_rnn_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_elu_inplace_with_neg_alpha_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_glu_bfloat16_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_nan_inf_cpu_float64, 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_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_True_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_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_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_logsigmoid_out_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_TxT_layout_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_lowp_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_all_ignored_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_invalid_target_dim_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_sum_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_mismatched_batch_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_total_weight_is_zero_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_rnn_retain_variables_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_save_lstm_compatibility_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_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_softmax_backward_without_fully_vectorized_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_cpu_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_forward_64bit_indexing_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softplus_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softshrink_negative_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_transformerencoderlayer_fast_path_cpu_float64, 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_True_input_size_403_output_size_377_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_True_mode_bicubic_memory_format0_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_True_align_corners_False_mode_bicubic_memory_format0_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_5_cpu, 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_int64_cpu_int64, 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_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_uint8_cpu_uint8, 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_nearest_int32_cpu_int32, 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_int8_cpu_int8, 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_int16_cpu_int16, 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_uint8_cpu_uint8, 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_5_mode_bicubic_int8_cpu_int8, 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_int16_cpu_int16, 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_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_float32_cpu_float32, 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_upsamplingBicubic2d_aa_correctness_memory_format1_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_mode_nearest-exact_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_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_launch_fail_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_memory_format0_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_launch_config_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact1d_correctness_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact2d_correctness_memory_format0_isize_10_osize_15_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_upsamplingnearest2d_backward_64bit_indexing_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_warp_softmax_64bit_indexing_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_warp_softmax_64bit_indexing_cpu_float32 2025-12-04T09:25:54.2105474Z 2025-12-04T09:25:54.2105735Z Finished test_nn 1/3 ... [2025-12-04 09:25:54.169808][1894.586859113], took 7.17min 2025-12-04T09:25:54.2106403Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_nn/test_nn-e9a5f83bcbb7bb04.xml 2025-12-04T09:25:54.2686012Z Running test_nn 3/3 ... [2025-12-04 09:25:54.267487][1894.684544092] 2025-12-04T09:25:54.2686378Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:25:54.2687047Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_nn.py', '--shard-id=3', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:25:54.267782] 2025-12-04T09:33:00.9696059Z 2025-12-04T09:33:00.9697034Z test_nn 3/3 was successful, full logs can be found in artifacts with path test/test-reports/test_nn_3.3_83c7fe41c14b9f32_.log 2025-12-04T09:33:01.0024448Z Running 745 items in this shard: test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_mean_cuda_half, 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_half, 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_scalar, 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_reduce_cuda, test/test_nn.py::TestNN::test_CTCLoss_lengthchecks_cuda, test/test_nn.py::TestNN::test_CTCLoss_typechecks, test/test_nn.py::TestNN::test_CTCLoss_zero_lengths, 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_pad1_cuda, test/test_nn.py::TestNN::test_Conv1d_pad1size1_cuda, test/test_nn.py::TestNN::test_Conv1d_pad2_cuda, 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_stride_cuda, test/test_nn.py::TestNN::test_Conv1d_zero_batch, test/test_nn.py::TestNN::test_Conv2d_depthwise, test/test_nn.py::TestNN::test_Conv2d_depthwise_padded_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise_with_multiplier_cuda, test/test_nn.py::TestNN::test_Conv2d_dilated_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_groups_thnn_with_long_tensor_cuda, 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_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_dilated_cuda, 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_reflect_stride2_pad2, test/test_nn.py::TestNN::test_Conv2d_zero_batch_with_long_tensor, 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_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_cuda, test/test_nn.py::TestNN::test_Conv3d_dilated_cuda, test/test_nn.py::TestNN::test_Conv3d_groups_cuda, test/test_nn.py::TestNN::test_Conv3d_groups_with_long_tensor_cuda, 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_pad_same, test/test_nn.py::TestNN::test_Conv3d_pad_valid, 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_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_zeros_stride2_pad2_cuda, test/test_nn.py::TestNN::test_ConvTranspose1d_cuda, test/test_nn.py::TestNN::test_ConvTranspose1d_dilated, test/test_nn.py::TestNN::test_ConvTranspose1d_groups, test/test_nn.py::TestNN::test_ConvTranspose2d, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated, test/test_nn.py::TestNN::test_ConvTranspose2d_groups_with_long_tensor, 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_cuda, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_CrossMapLRN2d_cuda, 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_padding_idx, test/test_nn.py::TestNN::test_EmbeddingBag_mean_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_sparse, test/test_nn.py::TestNN::test_Embedding_discontiguous, test/test_nn.py::TestNN::test_Flatten, test/test_nn.py::TestNN::test_Flatten_no_batch_dim, test/test_nn.py::TestNN::test_Fold_no_batch_dim_int_input_cuda, 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_Hardshrink_no_batch_dim, test/test_nn.py::TestNN::test_Hardsigmoid_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_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_none, 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_HuberLoss_delta, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_mean, 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_sum_cuda_float, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_mean_cuda_float, 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_sum_cuda_half, 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_with_log_target_no_reduce_cuda, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_mean_cuda_float, 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_sum_cuda_float, test/test_nn.py::TestNN::test_L1Loss_no_reduce_scalar, 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_Linear_no_batch_dim_cuda, test/test_nn.py::TestNN::test_LogSigmoid_no_batch_dim, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_none, 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_cuda_float, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_sum_cuda_half, 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_none_cuda_double, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_sum, 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_MaxUnpool2d_net, test/test_nn.py::TestNN::test_MaxUnpool2d_net_cuda, test/test_nn.py::TestNN::test_MaxUnpool2d_net_no_batch_dim_cuda, test/test_nn.py::TestNN::test_MaxUnpool3d_net_no_batch_dim, test/test_nn.py::TestNN::test_Mish_no_batch_dim, test/test_nn.py::TestNN::test_ModuleList, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_0d_no_reduce, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_1d_no_reduce, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_index_neg_cuda, 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_reduce, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_sum, 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_ignore_index_cuda, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_weights_cuda, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_ignore_index, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_weights, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_sum_cuda_half, 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_PReLU_backward_requires_grad_false, 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_no_batch_dim_cuda, test/test_nn.py::TestNN::test_PairwiseDistance_with_non_default_args_cuda, 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_PoissonNLLLoss_no_batch_dim_mean_cuda_float, 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_sum_cuda_double, test/test_nn.py::TestNN::test_RNN_cell_forward_zero_hidden_size, test/test_nn.py::TestNN::test_RNN_change_dropout, test/test_nn.py::TestNN::test_RNN_dropout, 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_no_batch_dim, test/test_nn.py::TestNN::test_RReLU_with_up_down_cuda, test/test_nn.py::TestNN::test_ReLU6_no_batch_dim_cuda, test/test_nn.py::TestNN::test_ReLU_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_extend, test/test_nn.py::TestNN::test_Sequential_getitem, test/test_nn.py::TestNN::test_Sequential_insert, test/test_nn.py::TestNN::test_SiLU_no_batch_dim, test/test_nn.py::TestNN::test_SmoothL1Loss_beta_cuda, 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_half, 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_half, test/test_nn.py::TestNN::test_SmoothL1Loss_no_reduce, 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_none, 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_cuda_half, test/test_nn.py::TestNN::test_Softshrink_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_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_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_half, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_Unflatten_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Unfold, 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_3d, test/test_nn.py::TestNN::test_affine_grid_error_checking, test/test_nn.py::TestNN::test_assignment, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NHWC_vs_NCHW_float32, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NHWC_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NHWC_vs_native_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_mixed_float16, 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_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_2D_train_NHWC_vs_cpu_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_native_mixed_bfloat16, 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_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_NHWC_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_3D_train_NHWC_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_nhwc_cuda, test/test_nn.py::TestNN::test_batchnorm_non_contig_cpu_SyncBatchNorm, 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_weight_is_not_same_size_as_input, test/test_nn.py::TestNN::test_bce_loss_input_range, test/test_nn.py::TestNN::test_bce_with_logits_broadcasts_pos_weights, 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_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_broadcasting, test/test_nn.py::TestNN::test_bilinear_no_bias, test/test_nn.py::TestNN::test_bilinear_value_error, 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_load, test/test_nn.py::TestNN::test_buffers_and_named_buffers, test/test_nn.py::TestNN::test_channel_shuffle_input_checks, test/test_nn.py::TestNN::test_children, test/test_nn.py::TestNN::test_container_copy, 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_similarity, test/test_nn.py::TestNN::test_cross_entropy_loss_zero_div, test/test_nn.py::TestNN::test_dir_digit, test/test_nn.py::TestNN::test_flatten, test/test_nn.py::TestNN::test_fractional_max_pool2d_invalid_output_ratio, test/test_nn.py::TestNN::test_getattr_with_property, 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_interpolate_bicubic_2d_zero_dim, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_shared_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_skewed_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_tuple_2d_align_corners, 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_linear_1d_align_corners, test/test_nn.py::TestNN::test_interpolate_linear_1d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_linear_tuple_1d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_2d_launch_configs_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_scale_1d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_scale_2d_cuda, 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_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_tuple_3d, 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_l1_loss_correct, test/test_nn.py::TestNN::test_layer_norm_backwards_eps, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_nobias_weightCOO, 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_log_softmax_dim3, 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_margin_ranking_loss_no_reduce, test/test_nn.py::TestNN::test_module_backcompat, test/test_nn.py::TestNN::test_multimarginloss_1d_input_0d_target_no_reduce, test/test_nn.py::TestNN::test_named_children, test/test_nn.py::TestNN::test_named_parameters_remove_duplicate, test/test_nn.py::TestNN::test_no_grad, test/test_nn.py::TestNN::test_overwrite_module_params_on_conversion, test/test_nn.py::TestNN::test_padding_list, test/test_nn.py::TestNN::test_parameter_assignment, test/test_nn.py::TestNN::test_parameterlistdict_pickle, test/test_nn.py::TestNN::test_parse_to, test/test_nn.py::TestNN::test_pdist_empty_row, test/test_nn.py::TestNN::test_pixel_shuffle_nhwc_cpu, test/test_nn.py::TestNN::test_pointwise_loss_target_grad_none_reduction, test/test_nn.py::TestNN::test_projections_lstm_initial_hidden_state, test/test_nn.py::TestNN::test_register_buffer_allows_overwriting_with_same_name, test/test_nn.py::TestNN::test_register_buffer_raises_error_if_name_is_not_string, test/test_nn.py::TestNN::test_relu_inplace_on_view, test/test_nn.py::TestNN::test_requires_grad_, test/test_nn.py::TestNN::test_rnn_initial_hidden_state, test/test_nn.py::TestNN::test_softmax_functional_dim0_cuda, test/test_nn.py::TestNN::test_softmax_lastdim, test/test_nn.py::TestNN::test_softmax_lastdim_dtype_cuda, 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_spectral_norm_load_state_dict, 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_threshold_bfloat16_half, 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_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_swap_no_reduce, 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_upsamplingTrilinear3d_spatial_invariance, test/test_nn.py::TestNN::test_upsampling_not_recompute_scale_factor, test/test_nn.py::TestNN::test_weight_norm, 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::TestFusionEval::test_fuse_module_eval_numerics, test/test_nn.py::TestAddRelu::test_add_relu, test/test_nn.py::TestAddRelu::test_add_relu_broadcasting, test/test_nn.py::TestUtils::test_consume_prefix_in_state_dict_if_present, test/test_nn.py::TestNNDeviceTypeCPU::test_Bilinear_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_empty_target_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_none_use_module_form_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_GRU_grad_and_gradgrad_cpu_float64, 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_InstanceNorm1d_general_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_LSTM_grad_and_gradgrad_cpu_float64, 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_ReflectionPad2d_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_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_TransformerEncoderLayer_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_half_cpu_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_activations_bfloat16_half_cpu_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_affine_2d_rotateRandom_cpu, 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_large_batch_cpu_float16, 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_4_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_True_norm_type_4_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_value_foreach_False_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_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_label_smoothing_consistent_index_target_and_probs_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_large_tensor_reduction_sum_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_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_ctc_loss_error_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_device_mask_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_large_index_3d_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_nan_inf_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_groupnorm_nhwc_cpu_float32, 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_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_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_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_True_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_layernorm_half_precision_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_lstmcell_backward_only_one_output_grad_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_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_module_to_empty_non_recursive_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_1d_input_1d_target_invalid_size_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_invalid_weights_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_large_tensor_reduction_none_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_out_of_bounds_ignore_index_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_pad_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_replicatepad_64bit_indexing_cpu_float16, 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_rrelu_bounds_validation_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_smoothl1loss_backward_zero_beta_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_backward_64bit_indexing_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_backward_unaligned_grad_output_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_bfloat16_half_to_float_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_cpu_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_double_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_softplus_low_threshold_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softshrink_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_gelu_cpu_float32, 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_format1_align_corners_False_input_size_399_output_size_437_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_True_mode_bicubic_memory_format1_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_format1_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_int8_cpu_int8, 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_float32_cpu_float32, 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_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_uint8_cpu_uint8, 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_nearest-exact_float32_cpu_float32, 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_float32_cpu_float32, 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_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_int64_cpu_int64, 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_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_nearest-exact_float64_cpu_float64, 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_int16_cpu_int16, 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_uint8_cpu_uint8, 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_int64_cpu_int64, 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_nearest-exact_float32_cpu_float32, 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_float64_cpu_float64, 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_upsamplingBicubic2d_correctness_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBilinear2d_aa_correctness_memory_format0_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_upsamplingNearest2d_launch_config_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_memory_format1_mode_nearest-exact_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_memory_format0_mode_nearest-exact_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_memory_format0_mode_nearest_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_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_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsampling_64bit_indexing_channels_last_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_variable_sequence_cpu_float32 2025-12-04T09:33:01.0257377Z 2025-12-04T09:33:01.0257606Z Finished test_nn 3/3 ... [2025-12-04 09:33:00.970511][2321.387565978], took 7.11min 2025-12-04T09:33:01.0258210Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_nn/test_nn-3ba629b4bde66528.xml 2025-12-04T09:33:01.5277123Z Uploading artifacts took 0.45 seconds 2025-12-04T09:33:01.5280109Z Running test_overrides 1/1 ... [2025-12-04 09:33:01.527853][2321.944375952] 2025-12-04T09:33:01.5280559Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:01.5283373Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_overrides.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:33:01.528196] 2025-12-04T09:34:45.9503282Z 2025-12-04T09:34:45.9503990Z test_overrides 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_overrides_1.1_fc938d50b0b44b7e_.log 2025-12-04T09:34:45.9833915Z 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__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__version___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_data___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_device___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_dtype___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_grad___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_grad_dtype___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_grad_fn___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_imag___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_cpu___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_cuda___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_ipu___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_leaf___get__, 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test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_i0_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_igamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_igamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_igammac, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_igammac_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_add, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_add_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_copy, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_copy_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_fill, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_fill_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_put, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_put_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_reduce_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_select, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_indices, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_inner, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_int, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_int_repr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ipu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_coalesced, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_complex, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_conj, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_contiguous, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_distributed, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_floating_point, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_inference, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_neg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_pinned, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_same_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_set_to, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_shared, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_signed, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isclose, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isfinite, 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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_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tensor_split, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tile, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to_dense, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to_mkldnn, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to_sparse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tolist, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_topk, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_trace, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_transpose, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_transpose_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_triangular_solve, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tril, 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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, 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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 2025-12-04T09:34:46.0082069Z 2025-12-04T09:34:46.0082314Z Finished test_overrides 1/1 ... [2025-12-04 09:34:45.956098][2426.373151976], took 1.74min 2025-12-04T09:34:46.0082963Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_overrides/test_overrides-9165827348ba994a.xml 2025-12-04T09:34:46.1423815Z Running test_privateuseone_python_backend 1/1 ... [2025-12-04 09:34:46.141893][2426.558211776] 2025-12-04T09:34:46.1424321Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:34:46.1425226Z Executing ['/opt/conda/envs/py_3.13/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 09:34:46.142167] 2025-12-04T09:34:48.9650888Z 2025-12-04T09:34:48.9651902Z 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_ab157059681dbf45_.log 2025-12-04T09:34:48.9652916Z 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 2025-12-04T09:34:48.9653455Z 2025-12-04T09:34:48.9653664Z Finished test_privateuseone_python_backend 1/1 ... [2025-12-04 09:34:48.964198][2429.381256194], took 0.05min 2025-12-04T09:34:48.9724112Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_privateuseone_python_backend/test_privateuseone_python_backend-4ecfdc3bb925a159.xml 2025-12-04T09:34:49.0020367Z Running test_python_dispatch 1/1 ... [2025-12-04 09:34:49.001483][2429.418542787] 2025-12-04T09:34:49.0024251Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:34:49.0025344Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_python_dispatch.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:34:49.002363] 2025-12-04T09:35:19.8413408Z 2025-12-04T09:35:19.8414483Z test_python_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_python_dispatch_1.1_cc690d18b0b6f085_.log 2025-12-04T09:35:19.8442065Z 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 2025-12-04T09:35:19.8466369Z 2025-12-04T09:35:19.8466637Z Finished test_python_dispatch 1/1 ... [2025-12-04 09:35:19.841157][2460.258212786], took 0.51min 2025-12-04T09:35:19.8480659Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_python_dispatch/test_python_dispatch-c6bb3922a6adb3b0.xml 2025-12-04T09:35:19.9337378Z Running test_reductions 1/2 ... [2025-12-04 09:35:19.932832][2460.349890295] 2025-12-04T09:35:19.9337768Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:35:19.9338461Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_reductions.py', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:35:19.933116] 2025-12-04T09:39:43.9214178Z 2025-12-04T09:39:43.9214945Z test_reductions 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_reductions_1.2_81e35e9a07c742f8_.log 2025-12-04T09:39:43.9768881Z Running 2403 items in this shard: test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_float32, 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_with_dim_cpu, test/test_reductions.py::TestReductionsCPU::test_all_issue117215_cpu, 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_amin_amax_some_dims_cpu, test/test_reductions.py::TestReductionsCPU::test_amin_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_amin_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_amin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_aminmax_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_aminmax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_aminmax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_argminmax_axis_with_dim_one_cpu, test/test_reductions.py::TestReductionsCPU::test_argminmax_large_axis_cpu, test/test_reductions.py::TestReductionsCPU::test_argminmax_multiple_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_argminmax_multiple_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_argminmax_multiple_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_bincount_cpu, test/test_reductions.py::TestReductionsCPU::test_count_nonzero_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_count_nonzero_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_count_nonzero_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_count_nonzero_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_count_nonzero_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_count_nonzero_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_cumsum_integer_upcast_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_arg_reduction_scalar_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_dim_arg_reduction_scalar_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_dim_arg_reduction_scalar_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_dim_arg_reduction_scalar_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_dim_default__refs_all_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default__refs_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default__refs_linalg_vector_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default__refs_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default__refs_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default__refs_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_any_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_argmax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_argmin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim__refs_all_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim__refs_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim__refs_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim__refs_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_count_nonzero_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_hash_tensor_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_masked_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_masked_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_masked_logsumexp_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_masked_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_masked_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_masked_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_masked_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_nanmean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_nansum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_masked_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_masked_argmin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_masked_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_nanmean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_var_unbiased_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty__refs_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty__refs_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_all_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_hash_tensor_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim__refs_all_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim__refs_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim__refs_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim__refs_std_cpu, 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test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_mean_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_mean_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_mean_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_mean_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_mean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_norm_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_prod_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_prod_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_prod_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_prod_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_prod_cpu_float64, 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test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_sum_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_sum_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_var_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_var_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_var_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_var_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_var_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_var_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_mean_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_mean_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_mean_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nanmean_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nanmean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nansum_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nansum_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nansum_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_prod_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_result_dtype_prod_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype_prod_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_prod_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_prod_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_prod_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_prod_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_prod_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_prod_cpu_uint8, 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_complex64, 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_complex64, 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_uint8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_unbiased_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_unbiased_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_scalar_tensor_as_dim_argument_cpu, test/test_reductions.py::TestReductionsCPU::test_std_correction_vs_numpy_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_std_correction_vs_numpy_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_std_mean_correction_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_std_mean_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_float64, 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_lowp_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_sum_out_cpu_float64, 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_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_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_dim_cpu, test/test_reductions.py::TestReductionsCPU::test_var_large_input_cpu, test/test_reductions.py::TestReductionsCPU::test_var_mean_correction_cpu_complex64, 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_vs_numpy_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_var_vs_numpy_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_warn_invalid_degrees_of_freedom_cpu_float64 2025-12-04T09:39:44.0220915Z 2025-12-04T09:39:44.0221161Z Finished test_reductions 1/2 ... [2025-12-04 09:39:43.928520][2724.345573621], took 4.40min 2025-12-04T09:39:44.0221812Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_reductions/test_reductions-d3cb08222ea2e4ca.xml 2025-12-04T09:39:44.3822988Z Running test_reductions 2/2 ... [2025-12-04 09:39:44.381698][2724.798756197] 2025-12-04T09:39:44.3823567Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:39:44.3824332Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_reductions.py', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:39:44.381980] 2025-12-04T09:44:11.1433727Z 2025-12-04T09:44:11.1434544Z test_reductions 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_reductions_2.2_983fcb3cf1d66e29_.log 2025-12-04T09:44:11.1875821Z Running 2274 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_float16, 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_uint8, 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_int64, test/test_reductions.py::TestReductionsCPU::test_amin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_amin_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_amin_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_aminmax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_argminmax_multiple_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_argminmax_multiple_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_argminmax_multiple_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_argminmax_multiple_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_argminmax_multiple_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_bucketization_cpu, test/test_reductions.py::TestReductionsCPU::test_count_nonzero_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_count_nonzero_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_count_nonzero_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_count_nonzero_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_cumprod_integer_upcast_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_arg_reduction_scalar_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_dim_arg_reduction_scalar_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_dim_arg_reduction_scalar_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_dim_arg_reduction_scalar_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_dim_arg_reduction_scalar_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_dim_default__refs_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default__refs_any_cpu, 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test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_var_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_var_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_var_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_mean_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_mean_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype_mean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nanmean_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nanmean_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nansum_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nansum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nansum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nansum_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nansum_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nansum_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nansum_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_prod_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_prod_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_prod_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_std_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_std_cpu_complex128, 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_unbiased_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype_std_unbiased_cpu_float16, 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_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_int8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_unbiased_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_unbiased_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_unbiased_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_unbiased_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_scalar_tensor_dim_compiled_mode_cpu, test/test_reductions.py::TestReductionsCPU::test_std_correction_vs_numpy_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_std_correction_vs_numpy_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_std_dim_cpu, test/test_reductions.py::TestReductionsCPU::test_std_mean_all_dims_cpu, test/test_reductions.py::TestReductionsCPU::test_std_mean_correction_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_std_mean_correction_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_std_mean_correction_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_std_mean_some_dims_cpu, test/test_reductions.py::TestReductionsCPU::test_std_vs_numpy_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_sum_noncontig_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_noncontig_lowp_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_sum_parallel_cpu, 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_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_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_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_float32, 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_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 2025-12-04T09:44:11.2292890Z 2025-12-04T09:44:11.2293166Z Finished test_reductions 2/2 ... [2025-12-04 09:44:11.146329][2991.563383008], took 4.45min 2025-12-04T09:44:11.2293817Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_reductions/test_reductions-89c8450299e2a073.xml 2025-12-04T09:44:11.2704315Z Running test_show_pickle 1/1 ... [2025-12-04 09:44:11.269997][2991.687048965] 2025-12-04T09:44:11.2704694Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:44:11.2711568Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_show_pickle.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:44:11.270764] 2025-12-04T09:44:14.0448515Z 2025-12-04T09:44:14.0449458Z test_show_pickle 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_show_pickle_1.1_6b1bb08015cc1d8a_.log 2025-12-04T09:44:14.0450737Z Running 1 items in this shard: test/test_show_pickle.py::TestShowPickle::test_scripted_model 2025-12-04T09:44:14.0451193Z 2025-12-04T09:44:14.0451456Z Finished test_show_pickle 1/1 ... [2025-12-04 09:44:14.044472][2994.461530456], took 0.05min 2025-12-04T09:44:14.0501638Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_show_pickle/test_show_pickle-9065f6e2192f7c8e.xml 2025-12-04T09:44:14.0996732Z Running test_sort_and_select 1/1 ... [2025-12-04 09:44:14.098898][2994.515958646] 2025-12-04T09:44:14.0997259Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:44:14.1001564Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_sort_and_select.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:44:14.099712] 2025-12-04T09:45:54.7426472Z 2025-12-04T09:45:54.7429619Z 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_5c0dcbc928b15185_.log 2025-12-04T09:45:54.7449478Z 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 2025-12-04T09:45:54.7469115Z 2025-12-04T09:45:54.7469340Z Finished test_sort_and_select 1/1 ... [2025-12-04 09:45:54.742525][3095.159583825], took 1.68min 2025-12-04T09:45:54.7569716Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_sort_and_select/test_sort_and_select-e55e30695fe27fe2.xml 2025-12-04T09:45:54.8457944Z Running test_spectral_ops 1/1 ... [2025-12-04 09:45:54.844935][3095.26139033] 2025-12-04T09:45:54.8458277Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:45:54.8458959Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_spectral_ops.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:45:54.845193] 2025-12-04T09:46:37.8001595Z 2025-12-04T09:46:37.8002414Z test_spectral_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_spectral_ops_1.1_85f93ce37acd9e19_.log 2025-12-04T09:46:37.8049177Z 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, 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test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_ifftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_ifftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_ihfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_irfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_irfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_rfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_noop_transform_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_fftn_noop_transform_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_noop_transform_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fftn_noop_transform_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_noop_transform_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_round_trip_cpu_complex128, 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test/test_spectral_ops.py::TestFFTCPU::test_hfftn_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_ihfftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_ihfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_ihfftn_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_istft_against_librosa_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_istft_linearity_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_istft_of_sine_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_istft_requires_window_cpu, test/test_spectral_ops.py::TestFFTCPU::test_istft_round_trip_simple_cases_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_istft_round_trip_various_params_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_istft_round_trip_with_padding_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_istft_throws_cpu, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_fft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_fft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_hfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_hfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_ifft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_ifft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_ihfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_irfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_irfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_rfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_fft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_fft_cpu_float32, 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 2025-12-04T09:46:37.8095082Z 2025-12-04T09:46:37.8095333Z Finished test_spectral_ops 1/1 ... [2025-12-04 09:46:37.800068][3138.217122277], took 0.72min 2025-12-04T09:46:37.8096121Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_spectral_ops/test_spectral_ops-e452c0744e17ce77.xml 2025-12-04T09:46:37.8865532Z Running test_tensor_creation_ops 1/1 ... [2025-12-04 09:46:37.885961][3138.30302127] 2025-12-04T09:46:37.8865957Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:46:37.8866832Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_tensor_creation_ops.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:46:37.886185] 2025-12-04T09:52:27.7763827Z 2025-12-04T09:52:27.7764563Z 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_36a3990a156d2446_.log 2025-12-04T09:52:27.7908205Z 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 2025-12-04T09:52:27.8028444Z 2025-12-04T09:52:27.8028702Z Finished test_tensor_creation_ops 1/1 ... [2025-12-04 09:52:27.778748][3488.195802268], took 5.83min 2025-12-04T09:52:27.8029617Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_tensor_creation_ops/test_tensor_creation_ops-ff61a55cd3b31a0f.xml 2025-12-04T09:52:27.9155819Z Running test_tensorexpr 1/1 ... [2025-12-04 09:52:27.914705][3488.331148911] 2025-12-04T09:52:27.9156164Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:52:27.9156836Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_tensorexpr.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:52:27.914970] 2025-12-04T09:52:30.0345913Z 2025-12-04T09:52:30.0346957Z test_tensorexpr 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorexpr_1.1_4edf3603cd58ba1a_.log 2025-12-04T09:52:30.0358236Z 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 2025-12-04T09:52:30.0368887Z 2025-12-04T09:52:30.0369136Z Finished test_tensorexpr 1/1 ... [2025-12-04 09:52:30.033992][3490.451051113], took 0.04min 2025-12-04T09:52:30.0402886Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_tensorexpr/test_tensorexpr-b2324c5cea45c624.xml 2025-12-04T09:52:30.0766402Z Running test_torch 1/1 ... [2025-12-04 09:52:30.076022][3490.493082093] 2025-12-04T09:52:30.0766848Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:52:30.0767539Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_torch.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:52:30.076234] 2025-12-04T09:59:29.3428112Z 2025-12-04T09:59:29.3428805Z test_torch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_torch_1.1_04dd22ac2dad0116_.log 2025-12-04T09:59:29.3592971Z 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, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_int16, 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, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_log_normal_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_log_normal_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_log_normal_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_log_normal_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_logcumsumexp_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_lognormal_kstest_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_bool_tensor_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_bfloat16_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_bfloat16_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_bool_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_bool_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_complex128_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_complex128_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_complex64_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_complex64_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_float16_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_float16_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_float32_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_float32_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_float64_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_float64_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_int16_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_int16_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_int32_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_int32_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_int64_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_int64_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_int8_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_int8_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_uint8_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_uint8_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_bool_tensor_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_inplace_noncontiguous_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_large_tensor_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_discontiguous_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_clone_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_consistency_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_cpu_and_cuda_ops_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_empty_like_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_factory_like_functions_preserve_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_operators_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_preserved_after_permute_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_propagation_rules_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_to_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_type_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_type_shortcuts_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_module_share_memory_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_cpu_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_cpu_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_cpu_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_cpu_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_deterministic_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_deterministic_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_deterministic_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_device_constrain_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_empty_w_replacement_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_empty_wo_replacement_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_gpu_device_constrain_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_rng_state_advance_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_narrow_copy_non_contiguous_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_narrow_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_no_nondeterministic_alert_interpolate_bilinear_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_no_nondeterministic_alert_interpolate_trilinear_cpu, 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_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 2025-12-04T09:59:29.3737890Z 2025-12-04T09:59:29.3738106Z Finished test_torch 1/1 ... [2025-12-04 09:59:29.344917][3909.761971221], took 6.99min 2025-12-04T09:59:29.3738733Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_torch/test_torch-4a6ea00cffeadccc.xml 2025-12-04T09:59:29.7517770Z Uploading artifacts took 0.32 seconds 2025-12-04T09:59:29.7518203Z Running test_utils 1/1 ... [2025-12-04 09:59:29.751402][3910.168457596] 2025-12-04T09:59:29.7518561Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:59:29.7519305Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_utils.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:59:29.751713] 2025-12-04T10:02:57.4057470Z 2025-12-04T10:02:57.4058471Z test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_utils_1.1_5fd746135deeacbe_.log 2025-12-04T10:02:57.5312460Z 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, 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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, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__softmax_backward_data_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__upsample_bilinear2d_aa_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__upsample_bilinear2d_aa_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__upsample_bilinear2d_aa_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_float64, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bincount_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bincount_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bincount_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bincount_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bincount_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_and_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_and_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_and_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_and_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_and_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_and_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_left_shift_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_left_shift_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_left_shift_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_left_shift_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_left_shift_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_or_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_or_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_or_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_or_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_or_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_or_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_right_shift_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_right_shift_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_right_shift_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_right_shift_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_right_shift_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_xor_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_xor_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_xor_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_xor_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_xor_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_xor_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_shapes_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cauchy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cauchy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cauchy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cauchy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdist_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdist_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_inverse_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_inverse_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_inverse_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_inverse_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_complex_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_complex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_complex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_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, 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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, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_istft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_istft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cond_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cond_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cond_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cond_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eig_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eig_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eig_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eig_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvals_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvals_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvals_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvals_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvalsh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvalsh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvalsh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvalsh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_householder_product_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_householder_product_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_householder_product_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_householder_product_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_grad_oriented_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_grad_oriented_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_grad_oriented_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_grad_oriented_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_power_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_power_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_power_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_power_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_hermitian_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_hermitian_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_hermitian_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_hermitian_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_hermitian_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_hermitian_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_hermitian_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_hermitian_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_singular_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_singular_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_singular_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_singular_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_qr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_qr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_qr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_qr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_slogdet_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_slogdet_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_slogdet_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_slogdet_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_triangular_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_triangular_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_triangular_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_triangular_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svd_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svd_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svd_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svd_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svdvals_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svdvals_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svdvals_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svdvals_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorinv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorinv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorinv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorinv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorsolve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorsolve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorsolve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorsolve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_normal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_normal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_normal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_normal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp2_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp2_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logdet_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logdet_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logdet_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logdet_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_unpack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_unpack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_unpack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_unpack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_log_softmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_log_softmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_log_softmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_log_softmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logaddexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logaddexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logaddexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logaddexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_median_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_median_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_median_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_median_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_float32, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_pool2d_with_indices_backward_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_pool2d_with_indices_backward_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_pool2d_with_indices_backward_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_pool2d_with_indices_backward_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_multinomial_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_multinomial_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_multinomial_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_multinomial_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanquantile_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanquantile_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_batch_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_batch_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_batch_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_batch_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_layer_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_layer_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_layer_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_layer_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nextafter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nextafter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nextafter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nextafter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_alpha_dropout_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_alpha_dropout_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_alpha_dropout_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_alpha_dropout_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool3d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_batch_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_batch_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_batch_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_batch_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_celu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_celu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_celu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_celu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_similarity_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_similarity_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_similarity_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_similarity_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cross_entropy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cross_entropy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cross_entropy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cross_entropy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_ctc_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_ctc_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_elu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_elu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_elu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_elu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_bag_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_bag_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_bag_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_bag_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gaussian_nll_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gaussian_nll_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gaussian_nll_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gaussian_nll_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gelu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gelu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gelu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gelu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_glu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_glu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_glu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_glu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_grid_sample_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_grid_sample_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_grid_sample_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_grid_sample_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_group_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_group_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_group_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_group_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardshrink_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardshrink_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardshrink_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardshrink_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardsigmoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardsigmoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardsigmoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardsigmoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardswish_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardswish_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardswish_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardswish_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hinge_embedding_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hinge_embedding_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hinge_embedding_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hinge_embedding_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_huber_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_huber_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_huber_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_huber_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_instance_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_instance_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_instance_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_instance_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_area_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_area_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_area_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_area_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_linear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_linear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_linear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_linear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_trilinear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_trilinear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_trilinear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_trilinear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_kl_div_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_kl_div_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_kl_div_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_kl_div_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_layer_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_layer_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_layer_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_layer_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_leaky_relu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_leaky_relu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_leaky_relu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_leaky_relu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_logsigmoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_logsigmoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_logsigmoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_logsigmoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_grad_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_grad_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_grad_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_grad_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_grad_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_grad_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_grad_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_grad_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_grad_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_grad_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_grad_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_grad_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mish_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mish_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mish_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mish_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mse_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mse_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mse_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mse_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_head_attention_forward_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_head_attention_forward_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_head_attention_forward_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_head_attention_forward_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_nll_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_nll_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_nll_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_nll_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_one_hot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pdist_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pdist_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_prelu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_prelu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_prelu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_prelu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rrelu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rrelu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rrelu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_selu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_selu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_selu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_selu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_complex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_complex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_smooth_l1_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_smooth_l1_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_smooth_l1_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_smooth_l1_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_soft_margin_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_soft_margin_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_soft_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_soft_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softplus_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softplus_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softplus_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softplus_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softshrink_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softshrink_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softshrink_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softshrink_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_nuc_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_nuc_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_nuc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_nuc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_number_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_number_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_number_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_number_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ormqr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ormqr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ormqr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ormqr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pca_lowrank_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pca_lowrank_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pca_lowrank_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pca_lowrank_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pinverse_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pinverse_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pinverse_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pinverse_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polar_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polar_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_qr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_qr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_qr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_qr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_quantile_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_quantile_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_0_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_0_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_3_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_3_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_3_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_neg_3_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_neg_3_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_neg_3_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_bartlett_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_bartlett_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_blackman_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_blackman_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_cosine_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_cosine_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_exponential_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_exponential_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_gaussian_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_gaussian_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_general_cosine_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_general_cosine_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_general_hamming_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_general_hamming_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_hamming_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_hamming_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_hann_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_hann_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_kaiser_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_kaiser_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_nuttall_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_nuttall_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_int64, 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, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_he_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_he_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_he_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_he_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_he_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_he_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_he_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_he_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i0e_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i0e_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i0e_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i0e_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i0e_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i0e_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i0e_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i0e_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i0e_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i0e_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1_cpu_int32, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_lowrank_cpu_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 2025-12-04T10:02:57.6364167Z 2025-12-04T10:02:57.6364414Z Finished test_utils 1/1 ... [2025-12-04 10:02:57.426218][4117.843271608], took 3.46min 2025-12-04T10:02:57.6365029Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_utils/test_utils-66aab3bd1628a4d9.xml 2025-12-04T10:02:57.7299253Z Running cpp_extensions/python_agnostic_extension/test/test_python_agnostic 1/1 ... [2025-12-04 10:02:57.729153][4118.145662713] 2025-12-04T10:02:57.7299743Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:02:57.7301420Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'cpp_extensions/python_agnostic_extension/test/test_python_agnostic.py', '-m', 'serial', '--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 10:02:57.729457] 2025-12-04T10:02:59.8458679Z 2025-12-04T10:02:59.8460416Z cpp_extensions/python_agnostic_extension/test/test_python_agnostic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp_extensions.python_agnostic_extension.test.test_python_agnostic_1.1_c53ee3c77a56f676_.log 2025-12-04T10:02:59.8461824Z Running 0 items in this shard: 2025-12-04T10:02:59.8461951Z 2025-12-04T10:02:59.8462229Z Finished cpp_extensions/python_agnostic_extension/test/test_python_agnostic 1/1 ... [2025-12-04 10:02:59.845073][4120.262131818], took 0.04min 2025-12-04T10:02:59.8542432Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/cpp_extensions.python_agnostic_extension.test.test_python_agnostic/cpp_extensions.python_agnostic_extension.test.test_python_agnostic-a597924f76272592.xml 2025-12-04T10:02:59.8833523Z Running dynamo/cpython/3_13/test_cmath 1/1 ... [2025-12-04 10:02:59.882613][4120.299120519] 2025-12-04T10:02:59.8833992Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:02:59.8834740Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_cmath.py', '-m', 'serial', '--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 10:02:59.882841] 2025-12-04T10:03:01.9739000Z 2025-12-04T10:03:01.9739886Z dynamo/cpython/3_13/test_cmath 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_cmath_1.1_b5ec9868c0af265b_.log 2025-12-04T10:03:01.9740410Z Running 0 items in this shard: 2025-12-04T10:03:01.9740543Z 2025-12-04T10:03:01.9740745Z Finished dynamo/cpython/3_13/test_cmath 1/1 ... [2025-12-04 10:03:01.972880][4122.389939047], took 0.03min 2025-12-04T10:03:01.9808558Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.cpython.3_13.test_cmath/dynamo.cpython.3_13.test_cmath-febda3681e9973c9.xml 2025-12-04T10:03:02.0128603Z Running dynamo/cpython/3_13/test_contextlib 1/1 ... [2025-12-04 10:03:02.012402][4122.429460818] 2025-12-04T10:03:02.0129066Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:02.0130087Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_contextlib.py', '-m', 'serial', '--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 10:03:02.012634] 2025-12-04T10:03:04.0551607Z 2025-12-04T10:03:04.0552488Z dynamo/cpython/3_13/test_contextlib 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_contextlib_1.1_5241a57cd00357e4_.log 2025-12-04T10:03:04.0553143Z Running 0 items in this shard: 2025-12-04T10:03:04.0553291Z 2025-12-04T10:03:04.0553578Z Finished dynamo/cpython/3_13/test_contextlib 1/1 ... [2025-12-04 10:03:04.054594][4124.471653399], took 0.03min 2025-12-04T10:03:04.0656366Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.cpython.3_13.test_contextlib/dynamo.cpython.3_13.test_contextlib-94dbf43c1d978b7d.xml 2025-12-04T10:03:04.0966849Z Running dynamo/cpython/3_13/test_exception_variations 1/1 ... [2025-12-04 10:03:04.095914][4124.512973737] 2025-12-04T10:03:04.0968525Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:04.0969657Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_exception_variations.py', '-m', 'serial', '--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 10:03:04.096134] 2025-12-04T10:03:06.1290067Z 2025-12-04T10:03:06.1291380Z dynamo/cpython/3_13/test_exception_variations 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_exception_variations_1.1_08ffcd7f5d9f591c_.log 2025-12-04T10:03:06.1292074Z Running 0 items in this shard: 2025-12-04T10:03:06.1292213Z 2025-12-04T10:03:06.1292481Z Finished dynamo/cpython/3_13/test_exception_variations 1/1 ... [2025-12-04 10:03:06.128200][4126.54525812], took 0.03min 2025-12-04T10:03:06.1363656Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.cpython.3_13.test_exception_variations/dynamo.cpython.3_13.test_exception_variations-9db0fe0eb686df50.xml 2025-12-04T10:03:06.1649645Z Running dynamo/cpython/3_13/test_generator_stop 1/1 ... [2025-12-04 10:03:06.164374][4126.580760394] 2025-12-04T10:03:06.1650010Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:06.1650854Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_generator_stop.py', '-m', 'serial', '--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 10:03:06.164594] 2025-12-04T10:03:08.2177373Z 2025-12-04T10:03:08.2178227Z dynamo/cpython/3_13/test_generator_stop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_generator_stop_1.1_9fd5f75089bad0e0_.log 2025-12-04T10:03:08.2178806Z Running 0 items in this shard: 2025-12-04T10:03:08.2178949Z 2025-12-04T10:03:08.2179171Z Finished dynamo/cpython/3_13/test_generator_stop 1/1 ... [2025-12-04 10:03:08.217206][4128.634265153], took 0.03min 2025-12-04T10:03:08.2245899Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.cpython.3_13.test_generator_stop/dynamo.cpython.3_13.test_generator_stop-a742cf42bd893e10.xml 2025-12-04T10:03:08.2563670Z Running dynamo/cpython/3_13/test_int 1/1 ... [2025-12-04 10:03:08.255494][4128.672553538] 2025-12-04T10:03:08.2564028Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:08.2564681Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_int.py', '-m', 'serial', '--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 10:03:08.255701] 2025-12-04T10:03:10.3051197Z 2025-12-04T10:03:10.3052144Z dynamo/cpython/3_13/test_int 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_int_1.1_14c818c22358db28_.log 2025-12-04T10:03:10.3052872Z Running 0 items in this shard: 2025-12-04T10:03:10.3053032Z 2025-12-04T10:03:10.3053251Z Finished dynamo/cpython/3_13/test_int 1/1 ... [2025-12-04 10:03:10.304047][4130.721107969], took 0.03min 2025-12-04T10:03:10.3108326Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.cpython.3_13.test_int/dynamo.cpython.3_13.test_int-4beba4edddfada3c.xml 2025-12-04T10:03:10.3392632Z Running dynamo/cpython/3_13/test_itertools 1/1 ... [2025-12-04 10:03:10.338758][4130.755816836] 2025-12-04T10:03:10.3393080Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:10.3394098Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_itertools.py', '-m', 'serial', '--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 10:03:10.338978] 2025-12-04T10:03:12.4065505Z 2025-12-04T10:03:12.4066492Z dynamo/cpython/3_13/test_itertools 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_itertools_1.1_58aaaee070b65c37_.log 2025-12-04T10:03:12.4067042Z Running 0 items in this shard: 2025-12-04T10:03:12.4067170Z 2025-12-04T10:03:12.4067377Z Finished dynamo/cpython/3_13/test_itertools 1/1 ... [2025-12-04 10:03:12.405950][4132.823009818], took 0.03min 2025-12-04T10:03:12.4216963Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.cpython.3_13.test_itertools/dynamo.cpython.3_13.test_itertools-9db235c1c9358e43.xml 2025-12-04T10:03:12.4496479Z Running dynamo/cpython/3_13/test_numeric_tower 1/1 ... [2025-12-04 10:03:12.448734][4132.865092304] 2025-12-04T10:03:12.4496967Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:12.4497719Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_numeric_tower.py', '-m', 'serial', '--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 10:03:12.448950] 2025-12-04T10:03:14.4636144Z 2025-12-04T10:03:14.4637021Z dynamo/cpython/3_13/test_numeric_tower 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_numeric_tower_1.1_667a16af4c571fce_.log 2025-12-04T10:03:14.4637566Z Running 0 items in this shard: 2025-12-04T10:03:14.4637692Z 2025-12-04T10:03:14.4637978Z Finished dynamo/cpython/3_13/test_numeric_tower 1/1 ... [2025-12-04 10:03:14.462658][4134.87971671], took 0.03min 2025-12-04T10:03:14.4725299Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.cpython.3_13.test_numeric_tower/dynamo.cpython.3_13.test_numeric_tower-c6f6d0300ef42584.xml 2025-12-04T10:03:14.5001358Z Running dynamo/cpython/3_13/test_raise 1/1 ... [2025-12-04 10:03:14.499589][4134.916649164] 2025-12-04T10:03:14.5001690Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:14.5002355Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_raise.py', '-m', 'serial', '--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 10:03:14.499788] 2025-12-04T10:03:16.5709188Z 2025-12-04T10:03:16.5709961Z dynamo/cpython/3_13/test_raise 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_raise_1.1_e3d3a4118a2d8b40_.log 2025-12-04T10:03:16.5710522Z Running 0 items in this shard: 2025-12-04T10:03:16.5710661Z 2025-12-04T10:03:16.5710862Z Finished dynamo/cpython/3_13/test_raise 1/1 ... [2025-12-04 10:03:16.570028][4136.987087561], took 0.03min 2025-12-04T10:03:16.5767029Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.cpython.3_13.test_raise/dynamo.cpython.3_13.test_raise-eca03d41484ff259.xml 2025-12-04T10:03:16.6066266Z Running dynamo/cpython/3_13/test_sort 1/1 ... [2025-12-04 10:03:16.605718][4137.022778074] 2025-12-04T10:03:16.6066642Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:16.6067307Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_sort.py', '-m', 'serial', '--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 10:03:16.605928] 2025-12-04T10:03:18.6325127Z 2025-12-04T10:03:18.6326063Z dynamo/cpython/3_13/test_sort 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_sort_1.1_d98ca61b9d804f0c_.log 2025-12-04T10:03:18.6326653Z Running 0 items in this shard: 2025-12-04T10:03:18.6326803Z 2025-12-04T10:03:18.6327309Z Finished dynamo/cpython/3_13/test_sort 1/1 ... [2025-12-04 10:03:18.632177][4139.049237138], took 0.03min 2025-12-04T10:03:18.6372160Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.cpython.3_13.test_sort/dynamo.cpython.3_13.test_sort-b784fbc18b4b27d3.xml 2025-12-04T10:03:18.6631227Z Running dynamo/cpython/3_13/test_unittest/test_assertions 1/1 ... [2025-12-04 10:03:18.662336][4139.07868182] 2025-12-04T10:03:18.6631807Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:18.6633026Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_unittest/test_assertions.py', '-m', 'serial', '--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 10:03:18.662565] 2025-12-04T10:03:20.7051131Z 2025-12-04T10:03:20.7052050Z dynamo/cpython/3_13/test_unittest/test_assertions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_unittest.test_assertions_1.1_677bec4020bcea76_.log 2025-12-04T10:03:20.7052729Z Running 0 items in this shard: 2025-12-04T10:03:20.7053191Z 2025-12-04T10:03:20.7053476Z Finished dynamo/cpython/3_13/test_unittest/test_assertions 1/1 ... [2025-12-04 10:03:20.704769][4141.121828844], took 0.03min 2025-12-04T10:03:20.7158405Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.cpython.3_13.test_unittest.test_assertions/dynamo.cpython.3_13.test_unittest.test_assertions-6f07acbe7e20b743.xml 2025-12-04T10:03:20.7412156Z Running dynamo/cpython/3_13/test_with 1/1 ... [2025-12-04 10:03:20.740792][4141.157851888] 2025-12-04T10:03:20.7412606Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:20.7413415Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_with.py', '-m', 'serial', '--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 10:03:20.741002] 2025-12-04T10:03:22.7854977Z 2025-12-04T10:03:22.7855785Z dynamo/cpython/3_13/test_with 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_with_1.1_d67b0525a2c9aa13_.log 2025-12-04T10:03:22.7856386Z Running 0 items in this shard: 2025-12-04T10:03:22.7856538Z 2025-12-04T10:03:22.7856761Z Finished dynamo/cpython/3_13/test_with 1/1 ... [2025-12-04 10:03:22.784792][4143.201851865], took 0.03min 2025-12-04T10:03:22.7906356Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.cpython.3_13.test_with/dynamo.cpython.3_13.test_with-dea8bc0d2f53a80b.xml 2025-12-04T10:03:22.8245584Z Running dynamo/test_aot_autograd 1/1 ... [2025-12-04 10:03:22.824056][4143.241116988] 2025-12-04T10:03:22.8246041Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:22.8246792Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_aot_autograd.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:03:22.824265] 2025-12-04T10:03:24.9365532Z 2025-12-04T10:03:24.9366488Z dynamo/test_aot_autograd 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_aot_autograd_1.1_2e410cae0333f9bf_.log 2025-12-04T10:03:24.9366972Z 2025-12-04T10:03:24.9367209Z Finished dynamo/test_aot_autograd 1/1 ... [2025-12-04 10:03:24.935823][4145.352882701], took 0.04min 2025-12-04T10:03:24.9406273Z Running dynamo/test_autograd_function 1/1 ... [2025-12-04 10:03:24.940438][4145.357495486] 2025-12-04T10:03:24.9406686Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:24.9409206Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_autograd_function.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:03:24.940691] 2025-12-04T10:03:33.9533055Z 2025-12-04T10:03:33.9533980Z dynamo/test_autograd_function 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_autograd_function_1.1_82501df71dff6a05_.log 2025-12-04T10:03:33.9534489Z 2025-12-04T10:03:33.9534715Z Finished dynamo/test_autograd_function 1/1 ... [2025-12-04 10:03:33.952590][4154.369650662], took 0.15min 2025-12-04T10:03:33.9571871Z Running dynamo/test_base_hop 1/1 ... [2025-12-04 10:03:33.956204][4154.373264844] 2025-12-04T10:03:33.9572230Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:33.9573282Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_base_hop.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:03:33.956492] 2025-12-04T10:03:36.0688197Z 2025-12-04T10:03:36.0689038Z dynamo/test_base_hop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_base_hop_1.1_3ff81883ad76064d_.log 2025-12-04T10:03:36.0689818Z 2025-12-04T10:03:36.0690001Z Finished dynamo/test_base_hop 1/1 ... [2025-12-04 10:03:36.068187][4156.485245353], took 0.04min 2025-12-04T10:03:36.0726693Z Running dynamo/test_bytecode_utils 1/1 ... [2025-12-04 10:03:36.072279][4156.489341383] 2025-12-04T10:03:36.0727081Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:36.0727816Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_bytecode_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 10:03:36.072514] 2025-12-04T10:03:38.1877602Z 2025-12-04T10:03:38.1878623Z dynamo/test_bytecode_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_bytecode_utils_1.1_34d02e7979512c86_.log 2025-12-04T10:03:38.1879076Z 2025-12-04T10:03:38.1879305Z Finished dynamo/test_bytecode_utils 1/1 ... [2025-12-04 10:03:38.186960][4158.604019641], took 0.04min 2025-12-04T10:03:38.1913051Z Running dynamo/test_compiler_bisector 1/1 ... [2025-12-04 10:03:38.190998][4158.607468561] 2025-12-04T10:03:38.1913417Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:38.1914245Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_compiler_bisector.py', '-m', 'serial', '--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 10:03:38.191253] 2025-12-04T10:03:47.1777160Z 2025-12-04T10:03:47.1778096Z dynamo/test_compiler_bisector 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_compiler_bisector_1.1_68ca7fa1c9593c9e_.log 2025-12-04T10:03:47.1778573Z 2025-12-04T10:03:47.1778809Z Finished dynamo/test_compiler_bisector 1/1 ... [2025-12-04 10:03:47.176617][4167.593678133], took 0.15min 2025-12-04T10:03:47.1811332Z Running dynamo/test_ctx_manager 1/1 ... [2025-12-04 10:03:47.180814][4167.597875684] 2025-12-04T10:03:47.1811762Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:47.1812547Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_ctx_manager.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:03:47.181046] 2025-12-04T10:03:56.1691478Z 2025-12-04T10:03:56.1692378Z dynamo/test_ctx_manager 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_ctx_manager_1.1_08b34829f1284f9d_.log 2025-12-04T10:03:56.1692866Z 2025-12-04T10:03:56.1699431Z Finished dynamo/test_ctx_manager 1/1 ... [2025-12-04 10:03:56.168707][4176.58576722], took 0.15min 2025-12-04T10:03:56.1725856Z Running dynamo/test_debug_utils 1/1 ... [2025-12-04 10:03:56.172321][4176.589382027] 2025-12-04T10:03:56.1726309Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:56.1727095Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_debug_utils.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:03:56.172577] 2025-12-04T10:03:58.2951378Z 2025-12-04T10:03:58.2952236Z dynamo/test_debug_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_debug_utils_1.1_8ccb144abbc74f60_.log 2025-12-04T10:03:58.2952683Z 2025-12-04T10:03:58.2953232Z Finished dynamo/test_debug_utils 1/1 ... [2025-12-04 10:03:58.294431][4178.711490245], took 0.04min 2025-12-04T10:03:58.2991316Z Running dynamo/test_deviceguard 1/1 ... [2025-12-04 10:03:58.298570][4178.715626402] 2025-12-04T10:03:58.2991679Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:58.2992482Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_deviceguard.py', '-m', 'serial', '--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 10:03:58.298813] 2025-12-04T10:04:00.4079921Z 2025-12-04T10:04:00.4081399Z dynamo/test_deviceguard 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_deviceguard_1.1_aa870b4b24d60e64_.log 2025-12-04T10:04:00.4082144Z 2025-12-04T10:04:00.4082464Z Finished dynamo/test_deviceguard 1/1 ... [2025-12-04 10:04:00.407449][4180.824508058], took 0.04min 2025-12-04T10:04:00.4115303Z Running dynamo/test_einops 1/1 ... [2025-12-04 10:04:00.411208][4180.828268661] 2025-12-04T10:04:00.4115822Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:04:00.4116876Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_einops.py', '-m', 'serial', '--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 10:04:00.411464] 2025-12-04T10:04:02.3645096Z 2025-12-04T10:04:02.3646081Z dynamo/test_einops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_einops_1.1_1c7c22f8522b73fd_.log 2025-12-04T10:04:02.3646728Z 2025-12-04T10:04:02.3647010Z Finished dynamo/test_einops 1/1 ... [2025-12-04 10:04:02.363936][4182.780994619], took 0.03min 2025-12-04T10:04:02.3683405Z Running dynamo/test_exceptions 1/1 ... [2025-12-04 10:04:02.368107][4182.785169181] 2025-12-04T10:04:02.3683747Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:04:02.3685850Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_exceptions.py', '-m', 'serial', '--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 10:04:02.368358] 2025-12-04T10:04:04.5474155Z 2025-12-04T10:04:04.5474929Z dynamo/test_exceptions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_exceptions_1.1_14df0b924d25744e_.log 2025-12-04T10:04:04.5475321Z 2025-12-04T10:04:04.5475508Z Finished dynamo/test_exceptions 1/1 ... [2025-12-04 10:04:04.546718][4184.963776356], took 0.04min 2025-12-04T10:04:04.5507888Z Running dynamo/test_flat_apply 1/1 ... [2025-12-04 10:04:04.550282][4184.967337115] 2025-12-04T10:04:04.5508289Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:04:04.5509023Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_flat_apply.py', '-m', 'serial', '--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 10:04:04.550543] 2025-12-04T10:04:06.6600389Z 2025-12-04T10:04:06.6601655Z dynamo/test_flat_apply 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_flat_apply_1.1_066c0a1cd349c554_.log 2025-12-04T10:04:06.6602136Z 2025-12-04T10:04:06.6602356Z Finished dynamo/test_flat_apply 1/1 ... [2025-12-04 10:04:06.659383][4187.076441237], took 0.04min 2025-12-04T10:04:06.6640647Z Running dynamo/test_fx_annotate 1/1 ... [2025-12-04 10:04:06.663565][4187.08062687] 2025-12-04T10:04:06.6641060Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:04:06.6641693Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_fx_annotate.py', '-m', 'serial', '--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 10:04:06.663801] 2025-12-04T10:04:15.4820829Z 2025-12-04T10:04:15.4821922Z dynamo/test_fx_annotate 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_fx_annotate_1.1_5aed05f304008b16_.log 2025-12-04T10:04:15.4822413Z 2025-12-04T10:04:15.4822604Z Finished dynamo/test_fx_annotate 1/1 ... [2025-12-04 10:04:15.481663][4195.898723743], took 0.15min 2025-12-04T10:04:15.4857094Z Running dynamo/test_generator 1/1 ... [2025-12-04 10:04:15.485126][4195.902187765] 2025-12-04T10:04:15.4857616Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:04:15.4858259Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_generator.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:04:15.485378] 2025-12-04T10:04:17.6017862Z 2025-12-04T10:04:17.6018654Z dynamo/test_generator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_generator_1.1_3cc68235e477e1e1_.log 2025-12-04T10:04:17.6019093Z 2025-12-04T10:04:17.6019314Z Finished dynamo/test_generator 1/1 ... [2025-12-04 10:04:17.601393][4198.01844954], took 0.04min 2025-12-04T10:04:17.6058212Z Running dynamo/test_graph_region_tracker 1/1 ... [2025-12-04 10:04:17.605488][4198.02254318] 2025-12-04T10:04:17.6058620Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:04:17.6061384Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_graph_region_tracker.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:04:17.605757] 2025-12-04T10:04:19.7230387Z 2025-12-04T10:04:19.7231427Z dynamo/test_graph_region_tracker 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_graph_region_tracker_1.1_94c1793056a81d4a_.log 2025-12-04T10:04:19.7231917Z 2025-12-04T10:04:19.7232188Z Finished dynamo/test_graph_region_tracker 1/1 ... [2025-12-04 10:04:19.722402][4200.1394623], took 0.04min 2025-12-04T10:04:19.7261702Z Running dynamo/test_higher_order_ops 1/1 ... [2025-12-04 10:04:19.725993][4200.143054831] 2025-12-04T10:04:19.7262223Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:04:19.7270839Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_higher_order_ops.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:04:19.726907] 2025-12-04T10:04:29.0468118Z 2025-12-04T10:04:29.0468945Z dynamo/test_higher_order_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_higher_order_ops_1.1_e62fa662a627368f_.log 2025-12-04T10:04:29.0469417Z 2025-12-04T10:04:29.0469639Z Finished dynamo/test_higher_order_ops 1/1 ... [2025-12-04 10:04:29.046137][4209.463196446], took 0.16min 2025-12-04T10:04:29.0498591Z Running dynamo/test_input_attr_tracking 1/1 ... [2025-12-04 10:04:29.049679][4209.466740463] 2025-12-04T10:04:29.0498911Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:04:29.0501053Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_input_attr_tracking.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:04:29.049937] 2025-12-04T10:04:31.1806323Z 2025-12-04T10:04:31.1807168Z dynamo/test_input_attr_tracking 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_input_attr_tracking_1.1_b232c165d17452c5_.log 2025-12-04T10:04:31.1807635Z 2025-12-04T10:04:31.1807880Z Finished dynamo/test_input_attr_tracking 1/1 ... [2025-12-04 10:04:31.179766][4211.596827507], took 0.04min 2025-12-04T10:04:31.1842764Z Running dynamo/test_list 1/1 ... [2025-12-04 10:04:31.183922][4211.600407506] 2025-12-04T10:04:31.1843166Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:04:31.1844348Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_list.py', '-m', 'serial', '--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 10:04:31.184180] 2025-12-04T10:04:33.3027240Z 2025-12-04T10:04:33.3028101Z dynamo/test_list 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_list_1.1_b1558e91783d7bcc_.log 2025-12-04T10:04:33.3028878Z 2025-12-04T10:04:33.3029067Z Finished dynamo/test_list 1/1 ... [2025-12-04 10:04:33.301922][4213.718982792], took 0.04min 2025-12-04T10:04:33.3059913Z Running dynamo/test_minifier 1/1 ... [2025-12-04 10:04:33.305557][4213.722617952] 2025-12-04T10:04:33.3060201Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:04:33.3060834Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_minifier.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:04:33.305810] 2025-12-04T10:04:35.2387760Z 2025-12-04T10:04:35.2388573Z dynamo/test_minifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_minifier_1.1_149c10afcc9e121a_.log 2025-12-04T10:04:35.2389057Z 2025-12-04T10:04:35.2389269Z Finished dynamo/test_minifier 1/1 ... [2025-12-04 10:04:35.238345][4215.655404471], took 0.03min 2025-12-04T10:04:35.2430251Z Running dynamo/test_modes 1/1 ... [2025-12-04 10:04:35.242634][4215.659694856] 2025-12-04T10:04:35.2430654Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:04:35.2431368Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_modes.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:04:35.242869] 2025-12-04T10:04:44.1466958Z 2025-12-04T10:04:44.1467764Z dynamo/test_modes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_modes_1.1_c2ef43c485465361_.log 2025-12-04T10:04:44.1468134Z 2025-12-04T10:04:44.1468507Z Finished dynamo/test_modes 1/1 ... [2025-12-04 10:04:44.145829][4224.562888025], took 0.15min 2025-12-04T10:04:44.1496602Z Running dynamo/test_nops 1/1 ... [2025-12-04 10:04:44.149519][4224.566572763] 2025-12-04T10:04:44.1496967Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:04:44.1499273Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_nops.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:04:44.149790] 2025-12-04T10:04:46.2758706Z 2025-12-04T10:04:46.2760871Z dynamo/test_nops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_nops_1.1_dd22bfac3b19161f_.log 2025-12-04T10:04:46.2764387Z 2025-12-04T10:04:46.2765002Z Finished dynamo/test_nops 1/1 ... [2025-12-04 10:04:46.275211][4226.692269323], took 0.04min 2025-12-04T10:04:46.2792580Z Running dynamo/test_pgo 1/1 ... [2025-12-04 10:04:46.278815][4226.695875212] 2025-12-04T10:04:46.2792929Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:04:46.2793540Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_pgo.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:04:46.279068] 2025-12-04T10:04:48.4638757Z 2025-12-04T10:04:48.4642765Z dynamo/test_pgo 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_pgo_1.1_018e1a1aea057608_.log 2025-12-04T10:04:48.4643901Z 2025-12-04T10:04:48.4644330Z Finished dynamo/test_pgo 1/1 ... [2025-12-04 10:04:48.462695][4228.879755451], took 0.04min 2025-12-04T10:04:48.4671714Z Running dynamo/test_profiler 1/1 ... [2025-12-04 10:04:48.466902][4228.883963159] 2025-12-04T10:04:48.4672302Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:04:48.4677431Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/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 10:04:48.467150] 2025-12-04T10:04:50.6785761Z 2025-12-04T10:04:50.6786688Z dynamo/test_profiler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_profiler_1.1_29666886ebc00a3b_.log 2025-12-04T10:04:50.6787083Z 2025-12-04T10:04:50.6787265Z Finished dynamo/test_profiler 1/1 ... [2025-12-04 10:04:50.677451][4231.094511548], took 0.04min 2025-12-04T10:04:50.6824156Z Running dynamo/test_recompile_ux 1/1 ... [2025-12-04 10:04:50.682094][4231.098597287] 2025-12-04T10:04:50.6824579Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:04:50.6825393Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_recompile_ux.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:04:50.682324] 2025-12-04T10:04:52.8380870Z 2025-12-04T10:04:52.8381725Z dynamo/test_recompile_ux 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_recompile_ux_1.1_5928c470378233db_.log 2025-12-04T10:04:52.8382201Z 2025-12-04T10:04:52.8382438Z Finished dynamo/test_recompile_ux 1/1 ... [2025-12-04 10:04:52.837326][4233.254385675], took 0.04min 2025-12-04T10:04:52.8411764Z Running dynamo/test_regional_inductor 1/1 ... [2025-12-04 10:04:52.840836][4233.257897311] 2025-12-04T10:04:52.8412386Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:04:52.8413323Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_regional_inductor.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:04:52.841098] 2025-12-04T10:05:01.7697886Z 2025-12-04T10:05:01.7699199Z dynamo/test_regional_inductor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_regional_inductor_1.1_e38a977c15001292_.log 2025-12-04T10:05:01.7699637Z 2025-12-04T10:05:01.7699846Z Finished dynamo/test_regional_inductor 1/1 ... [2025-12-04 10:05:01.768862][4242.1859223], took 0.15min 2025-12-04T10:05:01.7734052Z Running dynamo/test_resume 1/1 ... [2025-12-04 10:05:01.773228][4242.190289592] 2025-12-04T10:05:01.7734412Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:05:01.7736636Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_resume.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:05:01.773484] 2025-12-04T10:05:03.7172482Z 2025-12-04T10:05:03.7173312Z dynamo/test_resume 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_resume_1.1_a3d94e158995565b_.log 2025-12-04T10:05:03.7174322Z 2025-12-04T10:05:03.7176394Z Finished dynamo/test_resume 1/1 ... [2025-12-04 10:05:03.716475][4244.133535915], took 0.03min 2025-12-04T10:05:03.7202915Z Running dynamo/test_skip_guard_eval_unsafe 1/1 ... [2025-12-04 10:05:03.720083][4244.137135479] 2025-12-04T10:05:03.7203288Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:05:03.7205489Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_skip_guard_eval_unsafe.py', '-m', 'serial', '--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 10:05:03.720347] 2025-12-04T10:05:05.8753588Z 2025-12-04T10:05:05.8754833Z dynamo/test_skip_guard_eval_unsafe 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_skip_guard_eval_unsafe_1.1_39154b3296e696c6_.log 2025-12-04T10:05:05.8755412Z 2025-12-04T10:05:05.8755652Z Finished dynamo/test_skip_guard_eval_unsafe 1/1 ... [2025-12-04 10:05:05.874545][4246.291604998], took 0.04min 2025-12-04T10:05:05.8793060Z Running dynamo/test_streams 1/1 ... [2025-12-04 10:05:05.878777][4246.295837547] 2025-12-04T10:05:05.8793603Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:05:05.8794294Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_streams.py', '-m', 'serial', '--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 10:05:05.879044] 2025-12-04T10:05:08.0280927Z 2025-12-04T10:05:08.0285119Z dynamo/test_streams 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_streams_1.1_dc90518d50cc1822_.log 2025-12-04T10:05:08.0285591Z 2025-12-04T10:05:08.0285953Z Finished dynamo/test_streams 1/1 ... [2025-12-04 10:05:08.027037][4248.444098052], took 0.04min 2025-12-04T10:05:08.0310226Z Running dynamo/test_subgraphs 1/1 ... [2025-12-04 10:05:08.030505][4248.447565612] 2025-12-04T10:05:08.0310548Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:05:08.0311234Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_subgraphs.py', '-m', 'serial', '--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 10:05:08.030747] 2025-12-04T10:05:10.1877853Z 2025-12-04T10:05:10.1879753Z dynamo/test_subgraphs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_subgraphs_1.1_9177d1f73b64121d_.log 2025-12-04T10:05:10.1880168Z 2025-12-04T10:05:10.1880350Z Finished dynamo/test_subgraphs 1/1 ... [2025-12-04 10:05:10.186603][4250.603663403], took 0.04min 2025-12-04T10:05:10.1912146Z Running dynamo/test_unittest 1/1 ... [2025-12-04 10:05:10.190778][4250.607283311] 2025-12-04T10:05:10.1912550Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:05:10.1913231Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_unittest.py', '-m', 'serial', '--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 10:05:10.191049] 2025-12-04T10:05:12.3247401Z 2025-12-04T10:05:12.3248591Z dynamo/test_unittest 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_unittest_1.1_eedfd5987e1d5879_.log 2025-12-04T10:05:12.3249266Z 2025-12-04T10:05:12.3249564Z Finished dynamo/test_unittest 1/1 ... [2025-12-04 10:05:12.324048][4252.7411086], took 0.04min 2025-12-04T10:05:12.3279286Z Running dynamo/test_verify_correctness 1/1 ... [2025-12-04 10:05:12.327713][4252.744775174] 2025-12-04T10:05:12.3279750Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:05:12.3282649Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_verify_correctness.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:05:12.327991] 2025-12-04T10:05:14.4712384Z 2025-12-04T10:05:14.4713169Z dynamo/test_verify_correctness 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_verify_correctness_1.1_ea9da41d8fa5f2e2_.log 2025-12-04T10:05:14.4713685Z 2025-12-04T10:05:14.4713876Z Finished dynamo/test_verify_correctness 1/1 ... [2025-12-04 10:05:14.470677][4254.887737733], took 0.04min 2025-12-04T10:05:14.4753576Z Running functorch/test_ac 1/1 ... [2025-12-04 10:05:14.474742][4254.891798561] 2025-12-04T10:05:14.4754008Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:05:14.4754888Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_ac.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:05:14.475002] 2025-12-04T10:05:23.3840537Z 2025-12-04T10:05:23.3841383Z functorch/test_ac 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ac_1.1_2d83707243ae0018_.log 2025-12-04T10:05:23.3842157Z 2025-12-04T10:05:23.3842327Z Finished functorch/test_ac 1/1 ... [2025-12-04 10:05:23.383518][4263.800576898], took 0.15min 2025-12-04T10:05:23.3875385Z Running optim/test_optim 1/1 ... [2025-12-04 10:05:23.387158][4263.804219915] 2025-12-04T10:05:23.3875793Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:05:23.3876864Z Executing ['/opt/conda/envs/py_3.13/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 10:05:23.387408] 2025-12-04T10:05:25.3846989Z 2025-12-04T10:05:25.3848916Z optim/test_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_optim_1.1_88cf2461e6e425cf_.log 2025-12-04T10:05:25.3849327Z 2025-12-04T10:05:25.3849529Z Finished optim/test_optim 1/1 ... [2025-12-04 10:05:25.383936][4265.800996491], took 0.03min 2025-12-04T10:05:25.3891087Z Running test_appending_byte_serializer 1/1 ... [2025-12-04 10:05:25.388703][4265.805195984] 2025-12-04T10:05:25.3891462Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:05:25.3892137Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_appending_byte_serializer.py', '-m', 'serial', '--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 10:05:25.388933] 2025-12-04T10:05:27.3766505Z 2025-12-04T10:05:27.3767587Z test_appending_byte_serializer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_appending_byte_serializer_1.1_9d6bb25cd1b4bb3e_.log 2025-12-04T10:05:27.3770143Z 2025-12-04T10:05:27.3770369Z Finished test_appending_byte_serializer 1/1 ... [2025-12-04 10:05:27.375977][4267.793036694], took 0.03min 2025-12-04T10:05:27.3798538Z Running test_cuda_sanitizer 1/1 ... [2025-12-04 10:05:27.379569][4267.796630469] 2025-12-04T10:05:27.3799001Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:05:27.3800006Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_cuda_sanitizer.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:05:27.379799] 2025-12-04T10:05:29.4160206Z 2025-12-04T10:05:29.4164146Z test_cuda_sanitizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_sanitizer_1.1_e976ea71a88d74f0_.log 2025-12-04T10:05:29.4165217Z Running 0 items in this shard: 2025-12-04T10:05:29.4165379Z 2025-12-04T10:05:29.4165611Z Finished test_cuda_sanitizer 1/1 ... [2025-12-04 10:05:29.415027][4269.832084097], took 0.03min 2025-12-04T10:05:29.4198383Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cuda_sanitizer/test_cuda_sanitizer-d0b1a0fb3ff8e2bd.xml 2025-12-04T10:05:29.4999366Z Running test_opaque_obj_v2 1/1 ... [2025-12-04 10:05:29.499333][4269.916393751] 2025-12-04T10:05:29.4999747Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:05:29.5000441Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_opaque_obj_v2.py', '-m', 'serial', '--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 10:05:29.499534] 2025-12-04T10:05:31.5868099Z 2025-12-04T10:05:31.5868872Z test_opaque_obj_v2 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_opaque_obj_v2_1.1_b65b4960c2470ac4_.log 2025-12-04T10:05:31.5869686Z 2025-12-04T10:05:31.5869959Z Finished test_opaque_obj_v2 1/1 ... [2025-12-04 10:05:31.586257][4272.003315293], took 0.03min 2025-12-04T10:05:31.5963938Z Running test_unary_ufuncs 2/2 ... [2025-12-04 10:05:31.595850][4272.012911485] 2025-12-04T10:05:31.5964362Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:05:31.5965066Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_unary_ufuncs.py', '-m', 'serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:05:31.596081] 2025-12-04T10:05:37.3759227Z 2025-12-04T10:05:37.3763721Z test_unary_ufuncs 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_unary_ufuncs_2.2_9d69406c772cfb91_.log 2025-12-04T10:05:37.3764316Z Running 0 items in this shard: 2025-12-04T10:05:37.3764518Z 2025-12-04T10:05:37.3764793Z Finished test_unary_ufuncs 2/2 ... [2025-12-04 10:05:37.375273][4277.792333405], took 0.10min 2025-12-04T10:05:37.3825369Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_unary_ufuncs/test_unary_ufuncs-4bfe3f3976d6a850.xml 2025-12-04T10:05:37.4571004Z Running xpu/test_conv 1/1 ... [2025-12-04 10:05:37.456547][4277.872958165] 2025-12-04T10:05:37.4571332Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:05:37.4572015Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'xpu/test_conv.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:05:37.456764] 2025-12-04T10:05:39.9380185Z 2025-12-04T10:05:39.9380978Z xpu/test_conv 1/1 was successful, full logs can be found in artifacts with path test/test-reports/xpu.test_conv_1.1_06e79eb41956da43_.log 2025-12-04T10:05:39.9381486Z Running 0 items in this shard: 2025-12-04T10:05:39.9381642Z 2025-12-04T10:05:39.9381868Z Finished xpu/test_conv 1/1 ... [2025-12-04 10:05:39.937650][4280.354711003], took 0.04min 2025-12-04T10:05:39.9457566Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/xpu.test_conv/xpu.test_conv-83ae0ee27b3f05a6.xml 2025-12-04T10:05:42.0926967Z Running cpp_extensions/python_agnostic_extension/test/test_python_agnostic 1/1 ... [2025-12-04 10:05:42.092238][4282.509297879] 2025-12-04T10:05:42.0927704Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:05:42.0928231Z Running dynamo/cpython/3_13/test_cmath 1/1 ... [2025-12-04 10:05:42.092325][4282.509381446] 2025-12-04T10:05:42.0928659Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:05:42.0929085Z Running dynamo/cpython/3_13/test_contextlib 1/1 ... [2025-12-04 10:05:42.092356][4282.509414454] 2025-12-04T10:05:42.0929665Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:05:42.0930657Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'cpp_extensions/python_agnostic_extension/test/test_python_agnostic.py', '-m', 'not serial', '--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 10:05:42.092596] 2025-12-04T10:05:42.0932389Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_contextlib.py', '-m', 'not serial', '--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 10:05:42.092718] 2025-12-04T10:05:42.0933459Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_cmath.py', '-m', 'not serial', '--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 10:05:42.092758] 2025-12-04T10:05:44.2883914Z 2025-12-04T10:05:44.2886191Z cpp_extensions/python_agnostic_extension/test/test_python_agnostic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp_extensions.python_agnostic_extension.test.test_python_agnostic_1.1_baee144dc935fc3b_.log 2025-12-04T10:05:44.2888073Z Running 0 items in this shard: 2025-12-04T10:05:44.2888359Z 2025-12-04T10:05:44.2889077Z Finished cpp_extensions/python_agnostic_extension/test/test_python_agnostic 1/1 ... [2025-12-04 10:05:44.288026][4284.705087601], took 0.04min 2025-12-04T10:05:44.2947660Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/cpp_extensions.python_agnostic_extension.test.test_python_agnostic/cpp_extensions.python_agnostic_extension.test.test_python_agnostic-6a0740671dcf1a6e.xml 2025-12-04T10:05:44.3315673Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.cpython.3_13.test_cmath/dynamo.cpython.3_13.test_cmath-76e0c3af4a164593.xml 2025-12-04T10:05:44.3647951Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.cpython.3_13.test_contextlib/dynamo.cpython.3_13.test_contextlib-4e751739b4404c52.xml 2025-12-04T10:05:44.7821311Z 2025-12-04T10:05:44.7822475Z dynamo/cpython/3_13/test_cmath 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_cmath_1.1_4e68b6c2300c65eb_.log 2025-12-04T10:05:44.7833243Z Running 33 items in this shard: test/dynamo/cpython/3_13/test_cmath.py::CMathTests::testAtanSign, test/dynamo/cpython/3_13/test_cmath.py::CMathTests::testAtanhSign, test/dynamo/cpython/3_13/test_cmath.py::CMathTests::testTanhSign, test/dynamo/cpython/3_13/test_cmath.py::CMathTests::test_abs, test/dynamo/cpython/3_13/test_cmath.py::CMathTests::test_abs_overflows, test/dynamo/cpython/3_13/test_cmath.py::CMathTests::test_cmath_matches_math, test/dynamo/cpython/3_13/test_cmath.py::CMathTests::test_constants, test/dynamo/cpython/3_13/test_cmath.py::CMathTests::test_infinity_and_nan_constants, test/dynamo/cpython/3_13/test_cmath.py::CMathTests::test_input_type, test/dynamo/cpython/3_13/test_cmath.py::CMathTests::test_isfinite, test/dynamo/cpython/3_13/test_cmath.py::CMathTests::test_isinf, test/dynamo/cpython/3_13/test_cmath.py::CMathTests::test_isnan, test/dynamo/cpython/3_13/test_cmath.py::CMathTests::test_phase, test/dynamo/cpython/3_13/test_cmath.py::CMathTests::test_polar, test/dynamo/cpython/3_13/test_cmath.py::CMathTests::test_polar_errno, test/dynamo/cpython/3_13/test_cmath.py::CMathTests::test_rect, test/dynamo/cpython/3_13/test_cmath.py::CMathTests::test_specific_values, test/dynamo/cpython/3_13/test_cmath.py::CMathTests::test_user_object, test/dynamo/cpython/3_13/test_cmath.py::IsCloseTests::test_asymmetry, test/dynamo/cpython/3_13/test_cmath.py::IsCloseTests::test_complex_near_zero, test/dynamo/cpython/3_13/test_cmath.py::IsCloseTests::test_complex_special, test/dynamo/cpython/3_13/test_cmath.py::IsCloseTests::test_complex_values, test/dynamo/cpython/3_13/test_cmath.py::IsCloseTests::test_decimals, test/dynamo/cpython/3_13/test_cmath.py::IsCloseTests::test_eight_decimal_places, test/dynamo/cpython/3_13/test_cmath.py::IsCloseTests::test_fractions, test/dynamo/cpython/3_13/test_cmath.py::IsCloseTests::test_identical, test/dynamo/cpython/3_13/test_cmath.py::IsCloseTests::test_identical_infinite, test/dynamo/cpython/3_13/test_cmath.py::IsCloseTests::test_inf_ninf_nan, test/dynamo/cpython/3_13/test_cmath.py::IsCloseTests::test_integers, test/dynamo/cpython/3_13/test_cmath.py::IsCloseTests::test_near_zero, test/dynamo/cpython/3_13/test_cmath.py::IsCloseTests::test_negative_tolerances, test/dynamo/cpython/3_13/test_cmath.py::IsCloseTests::test_reject_complex_tolerances, test/dynamo/cpython/3_13/test_cmath.py::IsCloseTests::test_zero_tolerance 2025-12-04T10:05:44.7842102Z 2025-12-04T10:05:44.7842477Z Finished dynamo/cpython/3_13/test_cmath 1/1 ... [2025-12-04 10:05:44.781946][4285.199003302], took 0.04min 2025-12-04T10:05:44.9340647Z 2025-12-04T10:05:44.9341938Z dynamo/cpython/3_13/test_contextlib 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_contextlib_1.1_1f304b2ae645669e_.log 2025-12-04T10:05:44.9374688Z Running 91 items in this shard: test/dynamo/cpython/3_13/test_contextlib.py::TestAbstractContextManager::test_enter, test/dynamo/cpython/3_13/test_contextlib.py::TestAbstractContextManager::test_exit_is_abstract, test/dynamo/cpython/3_13/test_contextlib.py::TestAbstractContextManager::test_slots, test/dynamo/cpython/3_13/test_contextlib.py::TestAbstractContextManager::test_structural_subclassing, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_contextmanager_attribs, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_contextmanager_do_not_unchain_non_stopiteration_exceptions, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_contextmanager_doc_attrib, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_contextmanager_except, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_contextmanager_except_pep479, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_contextmanager_except_stopiter, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_contextmanager_finally, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_contextmanager_no_reraise, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_contextmanager_non_normalised, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_contextmanager_plain, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_contextmanager_traceback, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_contextmanager_trap_no_yield, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_contextmanager_trap_second_yield, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_contextmanager_trap_yield_after_throw, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_contextmanager_wrap_runtimeerror, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_instance_docstring_given_cm_docstring, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_keywords, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_nokeepref, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_param_errors, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_recursive, test/dynamo/cpython/3_13/test_contextlib.py::ClosingTestCase::test_closing, test/dynamo/cpython/3_13/test_contextlib.py::ClosingTestCase::test_closing_error, test/dynamo/cpython/3_13/test_contextlib.py::ClosingTestCase::test_instance_docs, test/dynamo/cpython/3_13/test_contextlib.py::NullcontextTestCase::test_nullcontext, test/dynamo/cpython/3_13/test_contextlib.py::FileContextTestCase::testWithOpen, test/dynamo/cpython/3_13/test_contextlib.py::LockContextTestCase::testWithBoundedSemaphore, test/dynamo/cpython/3_13/test_contextlib.py::LockContextTestCase::testWithCondition, test/dynamo/cpython/3_13/test_contextlib.py::LockContextTestCase::testWithLock, test/dynamo/cpython/3_13/test_contextlib.py::LockContextTestCase::testWithRLock, test/dynamo/cpython/3_13/test_contextlib.py::LockContextTestCase::testWithSemaphore, test/dynamo/cpython/3_13/test_contextlib.py::TestContextDecorator::test_contextdecorator, test/dynamo/cpython/3_13/test_contextlib.py::TestContextDecorator::test_contextdecorator_as_mixin, test/dynamo/cpython/3_13/test_contextlib.py::TestContextDecorator::test_contextdecorator_with_exception, test/dynamo/cpython/3_13/test_contextlib.py::TestContextDecorator::test_contextmanager_as_decorator, test/dynamo/cpython/3_13/test_contextlib.py::TestContextDecorator::test_decorating_method, test/dynamo/cpython/3_13/test_contextlib.py::TestContextDecorator::test_decorator, test/dynamo/cpython/3_13/test_contextlib.py::TestContextDecorator::test_decorator_with_exception, test/dynamo/cpython/3_13/test_contextlib.py::TestContextDecorator::test_instance_docs, test/dynamo/cpython/3_13/test_contextlib.py::TestContextDecorator::test_typo_enter, test/dynamo/cpython/3_13/test_contextlib.py::TestContextDecorator::test_typo_exit, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_body_exception_suppress, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_callback, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_close, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_dont_reraise_RuntimeError, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_enter_context, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_enter_context_errors, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_excessive_nesting, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_exit_exception_chaining, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_exit_exception_chaining_reference, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_exit_exception_chaining_suppress, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_exit_exception_explicit_none_context, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_exit_exception_non_suppressing, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_exit_exception_traceback, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_exit_exception_with_correct_context, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_exit_exception_with_existing_context, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_exit_raise, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_exit_suppress, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_instance_bypass, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_instance_docs, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_no_resources, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_pop_all, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_push, test/dynamo/cpython/3_13/test_contextlib.py::TestRedirectStdout::test_cm_is_reentrant, test/dynamo/cpython/3_13/test_contextlib.py::TestRedirectStdout::test_cm_is_reusable, test/dynamo/cpython/3_13/test_contextlib.py::TestRedirectStdout::test_enter_result_is_target, test/dynamo/cpython/3_13/test_contextlib.py::TestRedirectStdout::test_instance_docs, test/dynamo/cpython/3_13/test_contextlib.py::TestRedirectStdout::test_no_redirect_in_init, test/dynamo/cpython/3_13/test_contextlib.py::TestRedirectStdout::test_redirect_to_string_io, test/dynamo/cpython/3_13/test_contextlib.py::TestRedirectStderr::test_cm_is_reentrant, test/dynamo/cpython/3_13/test_contextlib.py::TestRedirectStderr::test_cm_is_reusable, test/dynamo/cpython/3_13/test_contextlib.py::TestRedirectStderr::test_enter_result_is_target, test/dynamo/cpython/3_13/test_contextlib.py::TestRedirectStderr::test_instance_docs, test/dynamo/cpython/3_13/test_contextlib.py::TestRedirectStderr::test_no_redirect_in_init, test/dynamo/cpython/3_13/test_contextlib.py::TestRedirectStderr::test_redirect_to_string_io, test/dynamo/cpython/3_13/test_contextlib.py::TestSuppress::test_cm_is_reentrant, test/dynamo/cpython/3_13/test_contextlib.py::TestSuppress::test_exact_exception, test/dynamo/cpython/3_13/test_contextlib.py::TestSuppress::test_exception_groups, test/dynamo/cpython/3_13/test_contextlib.py::TestSuppress::test_exception_hierarchy, test/dynamo/cpython/3_13/test_contextlib.py::TestSuppress::test_instance_docs, test/dynamo/cpython/3_13/test_contextlib.py::TestSuppress::test_multiple_exception_args, test/dynamo/cpython/3_13/test_contextlib.py::TestSuppress::test_no_args, test/dynamo/cpython/3_13/test_contextlib.py::TestSuppress::test_no_exception, test/dynamo/cpython/3_13/test_contextlib.py::TestSuppress::test_no_result_from_enter, test/dynamo/cpython/3_13/test_contextlib.py::TestSuppress::test_other_exception, test/dynamo/cpython/3_13/test_contextlib.py::TestChdir::test_exception, test/dynamo/cpython/3_13/test_contextlib.py::TestChdir::test_reentrant, test/dynamo/cpython/3_13/test_contextlib.py::TestChdir::test_simple 2025-12-04T10:05:44.9405168Z 2025-12-04T10:05:44.9405569Z Finished dynamo/cpython/3_13/test_contextlib 1/1 ... [2025-12-04 10:05:44.933851][4285.350909812], took 0.05min 2025-12-04T10:05:46.6445475Z Running dynamo/cpython/3_13/test_exception_variations 1/1 ... [2025-12-04 10:05:46.644085][4287.061143851] 2025-12-04T10:05:46.6446433Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:05:46.6447633Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_exception_variations.py', '-m', 'not serial', '--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 10:05:46.644423] 2025-12-04T10:05:47.0525419Z Running dynamo/cpython/3_13/test_generator_stop 1/1 ... [2025-12-04 10:05:47.051959][4287.469018504] 2025-12-04T10:05:47.0525987Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:05:47.0527137Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_generator_stop.py', '-m', 'not serial', '--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 10:05:47.052267] 2025-12-04T10:05:47.2720939Z Running dynamo/cpython/3_13/test_int 1/1 ... [2025-12-04 10:05:47.271536][4287.688593169] 2025-12-04T10:05:47.2721472Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:05:47.2722946Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_int.py', '-m', 'not serial', '--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 10:05:47.272072] 2025-12-04T10:05:49.0712858Z 2025-12-04T10:05:49.0714087Z dynamo/cpython/3_13/test_exception_variations 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_exception_variations_1.1_ca610d9be64d44d3_.log 2025-12-04T10:05:49.0720721Z Running 15 items in this shard: test/dynamo/cpython/3_13/test_exception_variations.py::ExceptTestCases::test_nested, test/dynamo/cpython/3_13/test_exception_variations.py::ExceptTestCases::test_nested_else, test/dynamo/cpython/3_13/test_exception_variations.py::ExceptTestCases::test_nested_exception_in_else, test/dynamo/cpython/3_13/test_exception_variations.py::ExceptTestCases::test_nested_exception_in_except, test/dynamo/cpython/3_13/test_exception_variations.py::ExceptTestCases::test_nested_exception_in_finally_no_exception, test/dynamo/cpython/3_13/test_exception_variations.py::ExceptTestCases::test_nested_exception_in_finally_with_exception, test/dynamo/cpython/3_13/test_exception_variations.py::ExceptTestCases::test_try_except, test/dynamo/cpython/3_13/test_exception_variations.py::ExceptTestCases::test_try_except_else, test/dynamo/cpython/3_13/test_exception_variations.py::ExceptTestCases::test_try_except_else_finally, test/dynamo/cpython/3_13/test_exception_variations.py::ExceptTestCases::test_try_except_else_finally_no_exception, test/dynamo/cpython/3_13/test_exception_variations.py::ExceptTestCases::test_try_except_else_no_exception, test/dynamo/cpython/3_13/test_exception_variations.py::ExceptTestCases::test_try_except_finally, test/dynamo/cpython/3_13/test_exception_variations.py::ExceptTestCases::test_try_except_finally_no_exception, test/dynamo/cpython/3_13/test_exception_variations.py::ExceptTestCases::test_try_except_no_exception, test/dynamo/cpython/3_13/test_exception_variations.py::ExceptTestCases::test_try_finally_no_exception 2025-12-04T10:05:49.0727408Z 2025-12-04T10:05:49.0727815Z Finished dynamo/cpython/3_13/test_exception_variations 1/1 ... [2025-12-04 10:05:49.071026][4289.488084383], took 0.04min 2025-12-04T10:05:49.0760224Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.cpython.3_13.test_exception_variations/dynamo.cpython.3_13.test_exception_variations-e731bac4a13cd511.xml 2025-12-04T10:05:49.1086892Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.cpython.3_13.test_generator_stop/dynamo.cpython.3_13.test_generator_stop-267b6c95c951042f.xml 2025-12-04T10:05:49.4570364Z 2025-12-04T10:05:49.4571997Z dynamo/cpython/3_13/test_generator_stop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_generator_stop_1.1_0861bba170012103_.log 2025-12-04T10:05:49.4573705Z Running 2 items in this shard: test/dynamo/cpython/3_13/test_generator_stop.py::TestPEP479::test_stopiteration_wrapping, test/dynamo/cpython/3_13/test_generator_stop.py::TestPEP479::test_stopiteration_wrapping_context 2025-12-04T10:05:49.4574248Z 2025-12-04T10:05:49.4574576Z Finished dynamo/cpython/3_13/test_generator_stop 1/1 ... [2025-12-04 10:05:49.456678][4289.873739239], took 0.04min 2025-12-04T10:05:49.4658590Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.cpython.3_13.test_int/dynamo.cpython.3_13.test_int-54831e2cb98b708e.xml 2025-12-04T10:05:49.9508955Z 2025-12-04T10:05:49.9512680Z dynamo/cpython/3_13/test_int 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_int_1.1_4abc4784ac2b5bc5_.log 2025-12-04T10:05:49.9533168Z Running 46 items in this shard: test/dynamo/cpython/3_13/test_int.py::IntTestCases::test_basic, test/dynamo/cpython/3_13/test_int.py::IntTestCases::test_error_message, test/dynamo/cpython/3_13/test_int.py::IntTestCases::test_int_base_bad_types, test/dynamo/cpython/3_13/test_int.py::IntTestCases::test_int_base_indexable, test/dynamo/cpython/3_13/test_int.py::IntTestCases::test_int_base_limits, test/dynamo/cpython/3_13/test_int.py::IntTestCases::test_int_memoryview, test/dynamo/cpython/3_13/test_int.py::IntTestCases::test_int_returns_int_subclass, test/dynamo/cpython/3_13/test_int.py::IntTestCases::test_int_subclass_with_index, test/dynamo/cpython/3_13/test_int.py::IntTestCases::test_int_subclass_with_int, test/dynamo/cpython/3_13/test_int.py::IntTestCases::test_intconversion, test/dynamo/cpython/3_13/test_int.py::IntTestCases::test_invalid_signs, test/dynamo/cpython/3_13/test_int.py::IntTestCases::test_issue31619, test/dynamo/cpython/3_13/test_int.py::IntTestCases::test_keyword_args, test/dynamo/cpython/3_13/test_int.py::IntTestCases::test_no_args, test/dynamo/cpython/3_13/test_int.py::IntTestCases::test_non_numeric_input_types, test/dynamo/cpython/3_13/test_int.py::IntTestCases::test_small_ints, test/dynamo/cpython/3_13/test_int.py::IntTestCases::test_string_float, test/dynamo/cpython/3_13/test_int.py::IntTestCases::test_underscores, test/dynamo/cpython/3_13/test_int.py::IntTestCases::test_unicode, test/dynamo/cpython/3_13/test_int.py::IntStrDigitLimitsTests::test_denial_of_service_prevented_int_to_str, test/dynamo/cpython/3_13/test_int.py::IntStrDigitLimitsTests::test_denial_of_service_prevented_str_to_int, test/dynamo/cpython/3_13/test_int.py::IntStrDigitLimitsTests::test_disabled_limit, test/dynamo/cpython/3_13/test_int.py::IntStrDigitLimitsTests::test_int_from_other_bases, test/dynamo/cpython/3_13/test_int.py::IntStrDigitLimitsTests::test_int_max_str_digits_is_per_interpreter, test/dynamo/cpython/3_13/test_int.py::IntStrDigitLimitsTests::test_max_str_digits, test/dynamo/cpython/3_13/test_int.py::IntStrDigitLimitsTests::test_max_str_digits_edge_cases, test/dynamo/cpython/3_13/test_int.py::IntStrDigitLimitsTests::test_power_of_two_bases_unlimited, test/dynamo/cpython/3_13/test_int.py::IntStrDigitLimitsTests::test_sign_not_counted, test/dynamo/cpython/3_13/test_int.py::IntStrDigitLimitsTests::test_underscores_ignored, test/dynamo/cpython/3_13/test_int.py::IntSubclassStrDigitLimitsTests::test_denial_of_service_prevented_int_to_str, test/dynamo/cpython/3_13/test_int.py::IntSubclassStrDigitLimitsTests::test_denial_of_service_prevented_str_to_int, test/dynamo/cpython/3_13/test_int.py::IntSubclassStrDigitLimitsTests::test_disabled_limit, test/dynamo/cpython/3_13/test_int.py::IntSubclassStrDigitLimitsTests::test_int_from_other_bases, test/dynamo/cpython/3_13/test_int.py::IntSubclassStrDigitLimitsTests::test_int_max_str_digits_is_per_interpreter, test/dynamo/cpython/3_13/test_int.py::IntSubclassStrDigitLimitsTests::test_max_str_digits, test/dynamo/cpython/3_13/test_int.py::IntSubclassStrDigitLimitsTests::test_max_str_digits_edge_cases, test/dynamo/cpython/3_13/test_int.py::IntSubclassStrDigitLimitsTests::test_power_of_two_bases_unlimited, test/dynamo/cpython/3_13/test_int.py::IntSubclassStrDigitLimitsTests::test_sign_not_counted, test/dynamo/cpython/3_13/test_int.py::IntSubclassStrDigitLimitsTests::test_underscores_ignored, test/dynamo/cpython/3_13/test_int.py::PyLongModuleTests::test_pylong_int_divmod, test/dynamo/cpython/3_13/test_int.py::PyLongModuleTests::test_pylong_int_to_decimal, test/dynamo/cpython/3_13/test_int.py::PyLongModuleTests::test_pylong_int_to_decimal_2, test/dynamo/cpython/3_13/test_int.py::PyLongModuleTests::test_pylong_misbehavior_error_path_from_str, test/dynamo/cpython/3_13/test_int.py::PyLongModuleTests::test_pylong_misbehavior_error_path_to_str, test/dynamo/cpython/3_13/test_int.py::PyLongModuleTests::test_pylong_roundtrip, test/dynamo/cpython/3_13/test_int.py::PyLongModuleTests::test_pylong_str_to_int 2025-12-04T10:05:49.9551084Z 2025-12-04T10:05:49.9554553Z Finished dynamo/cpython/3_13/test_int 1/1 ... [2025-12-04 10:05:49.955277][4290.372330977], took 0.04min 2025-12-04T10:05:51.4224438Z Running dynamo/cpython/3_13/test_itertools 1/1 ... [2025-12-04 10:05:51.421946][4291.839005116] 2025-12-04T10:05:51.4225082Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:05:51.4226359Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_itertools.py', '-m', 'not serial', '--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 10:05:51.422296] 2025-12-04T10:05:51.8528148Z Running dynamo/cpython/3_13/test_numeric_tower 1/1 ... [2025-12-04 10:05:51.852383][4292.269441037] 2025-12-04T10:05:51.8528529Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:05:51.8530338Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_numeric_tower.py', '-m', 'not serial', '--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 10:05:51.852729] 2025-12-04T10:05:52.1914014Z Running dynamo/cpython/3_13/test_raise 1/1 ... [2025-12-04 10:05:52.190952][4292.608011235] 2025-12-04T10:05:52.1914600Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:05:52.1915694Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_raise.py', '-m', 'not serial', '--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 10:05:52.191294] 2025-12-04T10:05:54.1305445Z 2025-12-04T10:05:54.1306725Z dynamo/cpython/3_13/test_itertools 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_itertools_1.1_4d6cfdc4d32b34fe_.log 2025-12-04T10:05:54.1341826Z Running 139 items in this shard: test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_StopIteration, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_accumulate, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_batched, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_bug_7244, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_chain, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_chain_from_iterable, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_chain_reducible, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_chain_setstate, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_combinations, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_combinations_overflow, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_combinations_result_gc, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_combinations_tuple_reuse, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_combinations_with_replacement, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_combinations_with_replacement_overflow, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_combinations_with_replacement_result_gc, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_combinations_with_replacement_tuple_reuse, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_combinatorics, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_compress, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_count, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_count_threading, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_count_with_step, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_count_with_step_threading, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_cycle, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_cycle_copy_pickle, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_cycle_setstate, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_cycle_unpickle_compat, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_dropwhile, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_filter, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_filterfalse, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_groupby, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_immutable_types, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_islice, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_map, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_pairwise, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_pairwise_reenter, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_pairwise_reenter2, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_pairwise_result_gc, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_permutations, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_permutations_overflow, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_permutations_result_gc, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_permutations_tuple_reuse, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_product, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_product_issue_25021, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_product_overflow, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_product_pickling, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_product_result_gc, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_product_tuple_reuse, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_repeat, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_repeat_with_negative_times, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_starmap, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_takewhile, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_tee, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_tee_concurrent, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_tee_dealloc_segfault, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_tee_del_backward, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_tee_reenter, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_zip, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_zip_longest_bad_iterable, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_zip_longest_pickling, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_zip_longest_result_gc, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_zip_longest_tuple_reuse, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_zip_tuple_reuse, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_ziplongest, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_accumulate, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_accumulate_reducible, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_accumulate_reducible_none, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_chain, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_chain_from_iterable, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_combinations, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_combinations_with_replacement, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_compress, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_count, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_cycle, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_dropwhile, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_filter, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_filterfalse, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_groupby, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_islice, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_map, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_permutations, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_product, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_repeat, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_stapmap, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_takewhile, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_zip, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_zip_longest, test/dynamo/cpython/3_13/test_itertools.py::TestPurePythonRoughEquivalents::test_batched_recipe, test/dynamo/cpython/3_13/test_itertools.py::TestPurePythonRoughEquivalents::test_islice_recipe, test/dynamo/cpython/3_13/test_itertools.py::TestPurePythonRoughEquivalents::test_tee_recipe, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_accumulate, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_batched, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_chain, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_chain_from_iterable, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_combinations, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_combinations_with_replacement, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_compress, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_count, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_cycle, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_dropwhile, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_filter, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_filterfalse, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_groupby, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_islice, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_issue2246, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_map, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_pairwise, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_permutations, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_product, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_repeat, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_starmap, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_takewhile, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_zip, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_zip_longest, test/dynamo/cpython/3_13/test_itertools.py::TestVariousIteratorArgs::test_accumulate, test/dynamo/cpython/3_13/test_itertools.py::TestVariousIteratorArgs::test_batched, test/dynamo/cpython/3_13/test_itertools.py::TestVariousIteratorArgs::test_chain, test/dynamo/cpython/3_13/test_itertools.py::TestVariousIteratorArgs::test_compress, test/dynamo/cpython/3_13/test_itertools.py::TestVariousIteratorArgs::test_cycle, test/dynamo/cpython/3_13/test_itertools.py::TestVariousIteratorArgs::test_dropwhile, test/dynamo/cpython/3_13/test_itertools.py::TestVariousIteratorArgs::test_filter, test/dynamo/cpython/3_13/test_itertools.py::TestVariousIteratorArgs::test_filterfalse, test/dynamo/cpython/3_13/test_itertools.py::TestVariousIteratorArgs::test_groupby, test/dynamo/cpython/3_13/test_itertools.py::TestVariousIteratorArgs::test_islice, test/dynamo/cpython/3_13/test_itertools.py::TestVariousIteratorArgs::test_map, test/dynamo/cpython/3_13/test_itertools.py::TestVariousIteratorArgs::test_pairwise, test/dynamo/cpython/3_13/test_itertools.py::TestVariousIteratorArgs::test_product, test/dynamo/cpython/3_13/test_itertools.py::TestVariousIteratorArgs::test_starmap, test/dynamo/cpython/3_13/test_itertools.py::TestVariousIteratorArgs::test_takewhile, test/dynamo/cpython/3_13/test_itertools.py::TestVariousIteratorArgs::test_tee, test/dynamo/cpython/3_13/test_itertools.py::TestVariousIteratorArgs::test_zip, test/dynamo/cpython/3_13/test_itertools.py::TestVariousIteratorArgs::test_ziplongest, test/dynamo/cpython/3_13/test_itertools.py::LengthTransparency::test_repeat, test/dynamo/cpython/3_13/test_itertools.py::LengthTransparency::test_repeat_with_negative_times, test/dynamo/cpython/3_13/test_itertools.py::RegressionTests::test_issue30347_1, test/dynamo/cpython/3_13/test_itertools.py::RegressionTests::test_issue30347_2, test/dynamo/cpython/3_13/test_itertools.py::RegressionTests::test_long_chain_of_empty_iterables, test/dynamo/cpython/3_13/test_itertools.py::RegressionTests::test_sf_793826, test/dynamo/cpython/3_13/test_itertools.py::RegressionTests::test_sf_950057, test/dynamo/cpython/3_13/test_itertools.py::SubclassWithKwargsTest::test_keywords_in_subclass 2025-12-04T10:05:54.1364511Z 2025-12-04T10:05:54.1364791Z Finished dynamo/cpython/3_13/test_itertools 1/1 ... [2025-12-04 10:05:54.130631][4294.547686806], took 0.05min 2025-12-04T10:05:54.1369523Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.cpython.3_13.test_itertools/dynamo.cpython.3_13.test_itertools-42dac7826c9bb817.xml 2025-12-04T10:05:54.1730884Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.cpython.3_13.test_numeric_tower/dynamo.cpython.3_13.test_numeric_tower-870d937c8b82c979.xml 2025-12-04T10:05:54.2658094Z 2025-12-04T10:05:54.2659180Z dynamo/cpython/3_13/test_numeric_tower 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_numeric_tower_1.1_aa0b9ac7c713e515_.log 2025-12-04T10:05:54.2661776Z Running 9 items in this shard: test/dynamo/cpython/3_13/test_numeric_tower.py::HashTest::test_binary_floats, test/dynamo/cpython/3_13/test_numeric_tower.py::HashTest::test_bools, test/dynamo/cpython/3_13/test_numeric_tower.py::HashTest::test_complex, test/dynamo/cpython/3_13/test_numeric_tower.py::HashTest::test_decimals, test/dynamo/cpython/3_13/test_numeric_tower.py::HashTest::test_fractions, test/dynamo/cpython/3_13/test_numeric_tower.py::HashTest::test_hash_normalization, test/dynamo/cpython/3_13/test_numeric_tower.py::HashTest::test_integers, test/dynamo/cpython/3_13/test_numeric_tower.py::ComparisonTest::test_complex, test/dynamo/cpython/3_13/test_numeric_tower.py::ComparisonTest::test_mixed_comparisons 2025-12-04T10:05:54.2663508Z 2025-12-04T10:05:54.2663733Z Finished dynamo/cpython/3_13/test_numeric_tower 1/1 ... [2025-12-04 10:05:54.265187][4294.682246222], took 0.04min 2025-12-04T10:05:54.9876744Z 2025-12-04T10:05:54.9877856Z dynamo/cpython/3_13/test_raise 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_raise_1.1_ceb5efdfd2541cf7_.log 2025-12-04T10:05:54.9888854Z Running 37 items in this shard: test/dynamo/cpython/3_13/test_raise.py::TestRaise::test_assert_with_tuple_arg, test/dynamo/cpython/3_13/test_raise.py::TestRaise::test_erroneous_exception, test/dynamo/cpython/3_13/test_raise.py::TestRaise::test_except_reraise, test/dynamo/cpython/3_13/test_raise.py::TestRaise::test_finally_reraise, test/dynamo/cpython/3_13/test_raise.py::TestRaise::test_invalid_reraise, test/dynamo/cpython/3_13/test_raise.py::TestRaise::test_nested_reraise, test/dynamo/cpython/3_13/test_raise.py::TestRaise::test_new_returns_invalid_instance, test/dynamo/cpython/3_13/test_raise.py::TestRaise::test_raise_from_None, test/dynamo/cpython/3_13/test_raise.py::TestRaise::test_reraise, test/dynamo/cpython/3_13/test_raise.py::TestRaise::test_with_reraise1, test/dynamo/cpython/3_13/test_raise.py::TestRaise::test_with_reraise2, test/dynamo/cpython/3_13/test_raise.py::TestRaise::test_yield_reraise, test/dynamo/cpython/3_13/test_raise.py::TestCause::testCauseSyntax, test/dynamo/cpython/3_13/test_raise.py::TestCause::test_class_cause, test/dynamo/cpython/3_13/test_raise.py::TestCause::test_class_cause_nonexception_result, test/dynamo/cpython/3_13/test_raise.py::TestCause::test_erroneous_cause, test/dynamo/cpython/3_13/test_raise.py::TestCause::test_instance_cause, test/dynamo/cpython/3_13/test_raise.py::TestCause::test_invalid_cause, test/dynamo/cpython/3_13/test_raise.py::TestTraceback::test_accepts_traceback, test/dynamo/cpython/3_13/test_raise.py::TestTraceback::test_sets_traceback, test/dynamo/cpython/3_13/test_raise.py::TestTracebackType::test_attrs, test/dynamo/cpython/3_13/test_raise.py::TestTracebackType::test_constructor, test/dynamo/cpython/3_13/test_raise.py::TestContext::test_3118, test/dynamo/cpython/3_13/test_raise.py::TestContext::test_3611, test/dynamo/cpython/3_13/test_raise.py::TestContext::test_c_exception_context, test/dynamo/cpython/3_13/test_raise.py::TestContext::test_c_exception_raise, test/dynamo/cpython/3_13/test_raise.py::TestContext::test_class_context_class_raise, test/dynamo/cpython/3_13/test_raise.py::TestContext::test_class_context_instance_raise, test/dynamo/cpython/3_13/test_raise.py::TestContext::test_context_manager, test/dynamo/cpython/3_13/test_raise.py::TestContext::test_cycle_broken, test/dynamo/cpython/3_13/test_raise.py::TestContext::test_instance_context_instance_raise, test/dynamo/cpython/3_13/test_raise.py::TestContext::test_noraise_finally, test/dynamo/cpython/3_13/test_raise.py::TestContext::test_not_last, test/dynamo/cpython/3_13/test_raise.py::TestContext::test_raise_finally, test/dynamo/cpython/3_13/test_raise.py::TestContext::test_reraise_cycle_broken, test/dynamo/cpython/3_13/test_raise.py::TestRemovedFunctionality::test_strings, test/dynamo/cpython/3_13/test_raise.py::TestRemovedFunctionality::test_tuples 2025-12-04T10:05:54.9900332Z 2025-12-04T10:05:54.9900714Z Finished dynamo/cpython/3_13/test_raise 1/1 ... [2025-12-04 10:05:54.987515][4295.404575256], took 0.05min 2025-12-04T10:05:55.0003043Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.cpython.3_13.test_raise/dynamo.cpython.3_13.test_raise-d012495b7cbdcc9a.xml 2025-12-04T10:05:56.4048309Z Running dynamo/cpython/3_13/test_sort 1/1 ... [2025-12-04 10:05:56.404283][4296.821341391] 2025-12-04T10:05:56.4048808Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:05:56.4049809Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_sort.py', '-m', 'not serial', '--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 10:05:56.404617] 2025-12-04T10:05:56.6097854Z Running dynamo/cpython/3_13/test_unittest/test_assertions 1/1 ... [2025-12-04 10:05:56.609151][4297.026210304] 2025-12-04T10:05:56.6098458Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:05:56.6099891Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_unittest/test_assertions.py', '-m', 'not serial', '--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 10:05:56.609480] 2025-12-04T10:05:57.2512095Z Running dynamo/cpython/3_13/test_with 1/1 ... [2025-12-04 10:05:57.250760][4297.667815345] 2025-12-04T10:05:57.2512662Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:05:57.2513606Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_with.py', '-m', 'not serial', '--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 10:05:57.251152] 2025-12-04T10:05:58.9417825Z 2025-12-04T10:05:58.9418953Z dynamo/cpython/3_13/test_sort 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_sort_1.1_f1e842d0df52787a_.log 2025-12-04T10:05:58.9426974Z Running 21 items in this shard: test/dynamo/cpython/3_13/test_sort.py::TestBase::testStressfully, test/dynamo/cpython/3_13/test_sort.py::TestBase::test_small_stability, test/dynamo/cpython/3_13/test_sort.py::TestBugs::test_bug453523, test/dynamo/cpython/3_13/test_sort.py::TestBugs::test_undetected_mutation, test/dynamo/cpython/3_13/test_sort.py::TestDecorateSortUndecorate::test_baddecorator, test/dynamo/cpython/3_13/test_sort.py::TestDecorateSortUndecorate::test_decorated, test/dynamo/cpython/3_13/test_sort.py::TestDecorateSortUndecorate::test_key_with_exception, test/dynamo/cpython/3_13/test_sort.py::TestDecorateSortUndecorate::test_key_with_mutating_del, test/dynamo/cpython/3_13/test_sort.py::TestDecorateSortUndecorate::test_key_with_mutating_del_and_exception, test/dynamo/cpython/3_13/test_sort.py::TestDecorateSortUndecorate::test_key_with_mutation, test/dynamo/cpython/3_13/test_sort.py::TestDecorateSortUndecorate::test_reverse, test/dynamo/cpython/3_13/test_sort.py::TestDecorateSortUndecorate::test_reverse_stability, test/dynamo/cpython/3_13/test_sort.py::TestDecorateSortUndecorate::test_stability, test/dynamo/cpython/3_13/test_sort.py::TestOptimizedCompares::test_none_in_tuples, test/dynamo/cpython/3_13/test_sort.py::TestOptimizedCompares::test_not_all_tuples, test/dynamo/cpython/3_13/test_sort.py::TestOptimizedCompares::test_safe_object_compare, test/dynamo/cpython/3_13/test_sort.py::TestOptimizedCompares::test_unsafe_float_compare, test/dynamo/cpython/3_13/test_sort.py::TestOptimizedCompares::test_unsafe_latin_compare, test/dynamo/cpython/3_13/test_sort.py::TestOptimizedCompares::test_unsafe_long_compare, test/dynamo/cpython/3_13/test_sort.py::TestOptimizedCompares::test_unsafe_object_compare, test/dynamo/cpython/3_13/test_sort.py::TestOptimizedCompares::test_unsafe_tuple_compare 2025-12-04T10:05:58.9434566Z 2025-12-04T10:05:58.9434917Z Finished dynamo/cpython/3_13/test_sort 1/1 ... [2025-12-04 10:05:58.941486][4299.358545901], took 0.04min 2025-12-04T10:05:58.9485386Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.cpython.3_13.test_sort/dynamo.cpython.3_13.test_sort-e11c9120de87674d.xml 2025-12-04T10:05:58.9911643Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.cpython.3_13.test_unittest.test_assertions/dynamo.cpython.3_13.test_unittest.test_assertions-0c251661eb33061a.xml 2025-12-04T10:05:59.1948906Z 2025-12-04T10:05:59.1950445Z dynamo/cpython/3_13/test_unittest/test_assertions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_unittest.test_assertions_1.1_814a16934b5fb9f2_.log 2025-12-04T10:05:59.1965071Z Running 35 items in this shard: test/dynamo/cpython/3_13/test_unittest/test_assertions.py::Test_Assertions::testAssertNotRegex, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::Test_Assertions::test_AlmostEqual, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::Test_Assertions::test_AmostEqualWithDelta, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::Test_Assertions::test_assertRaises, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::Test_Assertions::test_assertRaises_frames_survival, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAlmostEqual, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertDictEqual, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertFalse, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertGreater, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertGreaterEqual, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertIn, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertIs, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertIsNone, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertIsNot, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertIsNotNone, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertLess, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertLessEqual, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertMultiLineEqual, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertNotIn, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertNotRegex, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertRaises, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertRaisesRegex, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertRegex, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertSequenceEqual, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertSetEqual, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertTrue, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertWarns, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertWarnsRegex, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testDefault, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testNotAlmostEqual, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testNotEqual, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::test_assertNotWarns, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::test_baseAssertEqual, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::test_formatMessage_unicode_error, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::test_formatMsg 2025-12-04T10:05:59.1979471Z 2025-12-04T10:05:59.1979970Z Finished dynamo/cpython/3_13/test_unittest/test_assertions 1/1 ... [2025-12-04 10:05:59.194614][4299.611672602], took 0.04min 2025-12-04T10:05:59.8945922Z 2025-12-04T10:05:59.8947035Z dynamo/cpython/3_13/test_with 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_with_1.1_84f2c4856771590d_.log 2025-12-04T10:05:59.8968118Z Running 51 items in this shard: test/dynamo/cpython/3_13/test_with.py::FailureTestCase::testAssignmentToNoneError, test/dynamo/cpython/3_13/test_with.py::FailureTestCase::testAssignmentToTupleContainingNoneError, test/dynamo/cpython/3_13/test_with.py::FailureTestCase::testAssignmentToTupleOnlyContainingNoneError, test/dynamo/cpython/3_13/test_with.py::FailureTestCase::testEnterAttributeError1, test/dynamo/cpython/3_13/test_with.py::FailureTestCase::testEnterAttributeError2, test/dynamo/cpython/3_13/test_with.py::FailureTestCase::testEnterThrows, test/dynamo/cpython/3_13/test_with.py::FailureTestCase::testExitAttributeError, test/dynamo/cpython/3_13/test_with.py::FailureTestCase::testExitThrows, test/dynamo/cpython/3_13/test_with.py::FailureTestCase::testNameError, test/dynamo/cpython/3_13/test_with.py::NonexceptionalTestCase::testBoundGenerator, test/dynamo/cpython/3_13/test_with.py::NonexceptionalTestCase::testInlineGeneratorBoundSyntax, test/dynamo/cpython/3_13/test_with.py::NonexceptionalTestCase::testInlineGeneratorBoundToDottedVariable, test/dynamo/cpython/3_13/test_with.py::NonexceptionalTestCase::testInlineGeneratorBoundToExistingVariable, test/dynamo/cpython/3_13/test_with.py::NonexceptionalTestCase::testInlineGeneratorSyntax, test/dynamo/cpython/3_13/test_with.py::NonexceptionalTestCase::testNestedSingleStatements, test/dynamo/cpython/3_13/test_with.py::NonexceptionalTestCase::testUnboundGenerator, test/dynamo/cpython/3_13/test_with.py::NestedNonexceptionalTestCase::testMultipleArgBound, test/dynamo/cpython/3_13/test_with.py::NestedNonexceptionalTestCase::testMultipleArgUnbound, test/dynamo/cpython/3_13/test_with.py::NestedNonexceptionalTestCase::testSingleArgBoundToMultipleElementTupleError, test/dynamo/cpython/3_13/test_with.py::NestedNonexceptionalTestCase::testSingleArgBoundToNonTuple, test/dynamo/cpython/3_13/test_with.py::NestedNonexceptionalTestCase::testSingleArgBoundToSingleElementParenthesizedList, test/dynamo/cpython/3_13/test_with.py::NestedNonexceptionalTestCase::testSingleArgInlineGeneratorSyntax, test/dynamo/cpython/3_13/test_with.py::NestedNonexceptionalTestCase::testSingleArgUnbound, test/dynamo/cpython/3_13/test_with.py::ExceptionalTestCase::testErrorsInBool, test/dynamo/cpython/3_13/test_with.py::ExceptionalTestCase::testExceptionNormalized, test/dynamo/cpython/3_13/test_with.py::ExceptionalTestCase::testMultipleResourcesInSingleStatement, test/dynamo/cpython/3_13/test_with.py::ExceptionalTestCase::testNestedExceptionAfterInnerStatement, test/dynamo/cpython/3_13/test_with.py::ExceptionalTestCase::testNestedExceptionBeforeInnerStatement, test/dynamo/cpython/3_13/test_with.py::ExceptionalTestCase::testNestedSingleStatements, test/dynamo/cpython/3_13/test_with.py::ExceptionalTestCase::testRaisedGeneratorExit1, test/dynamo/cpython/3_13/test_with.py::ExceptionalTestCase::testRaisedGeneratorExit2, test/dynamo/cpython/3_13/test_with.py::ExceptionalTestCase::testRaisedStopIteration1, test/dynamo/cpython/3_13/test_with.py::ExceptionalTestCase::testRaisedStopIteration2, test/dynamo/cpython/3_13/test_with.py::ExceptionalTestCase::testRaisedStopIteration3, test/dynamo/cpython/3_13/test_with.py::ExceptionalTestCase::testSingleResource, test/dynamo/cpython/3_13/test_with.py::NonLocalFlowControlTestCase::testWithBreak, test/dynamo/cpython/3_13/test_with.py::NonLocalFlowControlTestCase::testWithContinue, test/dynamo/cpython/3_13/test_with.py::NonLocalFlowControlTestCase::testWithRaise, test/dynamo/cpython/3_13/test_with.py::NonLocalFlowControlTestCase::testWithReturn, test/dynamo/cpython/3_13/test_with.py::NonLocalFlowControlTestCase::testWithYield, test/dynamo/cpython/3_13/test_with.py::AssignmentTargetTestCase::testMultipleComplexTargets, test/dynamo/cpython/3_13/test_with.py::AssignmentTargetTestCase::testSingleComplexTarget, test/dynamo/cpython/3_13/test_with.py::AssignmentTargetTestCase::testWithExtendedTargets, test/dynamo/cpython/3_13/test_with.py::ExitSwallowsExceptionTestCase::testExitFalseDoesntSwallowException, test/dynamo/cpython/3_13/test_with.py::ExitSwallowsExceptionTestCase::testExitTrueSwallowsException, test/dynamo/cpython/3_13/test_with.py::NestedWith::testEnterReturnsTuple, test/dynamo/cpython/3_13/test_with.py::NestedWith::testExceptionInEnter, test/dynamo/cpython/3_13/test_with.py::NestedWith::testExceptionInExit, test/dynamo/cpython/3_13/test_with.py::NestedWith::testExceptionInExprList, test/dynamo/cpython/3_13/test_with.py::NestedWith::testExceptionLocation, test/dynamo/cpython/3_13/test_with.py::NestedWith::testNoExceptions 2025-12-04T10:05:59.8988556Z 2025-12-04T10:05:59.8988918Z Finished dynamo/cpython/3_13/test_with 1/1 ... [2025-12-04 10:05:59.894280][4300.311339133], took 0.04min 2025-12-04T10:05:59.9019994Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.cpython.3_13.test_with/dynamo.cpython.3_13.test_with-9b5f1df342fa2ebe.xml 2025-12-04T10:06:01.2446190Z Running dynamo/test_aot_autograd 1/1 ... [2025-12-04 10:06:01.244157][4301.661215648] 2025-12-04T10:06:01.2446841Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:06:01.2447694Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_aot_autograd.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:06:01.244509] 2025-12-04T10:06:01.5622419Z Running dynamo/test_autograd_function 1/1 ... [2025-12-04 10:06:01.561750][4301.978806628] 2025-12-04T10:06:01.5622990Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:06:01.5625444Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_autograd_function.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:06:01.562323] 2025-12-04T10:06:02.2052274Z Running dynamo/test_base_hop 1/1 ... [2025-12-04 10:06:02.204656][4302.621714992] 2025-12-04T10:06:02.2052853Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:06:02.2054026Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_base_hop.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:06:02.204992] 2025-12-04T10:06:03.5928404Z 2025-12-04T10:06:03.5929724Z dynamo/test_aot_autograd 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_aot_autograd_1.1_400746a48e33f317_.log 2025-12-04T10:06:03.5930384Z 2025-12-04T10:06:03.5930691Z Finished dynamo/test_aot_autograd 1/1 ... [2025-12-04 10:06:03.592549][4304.00960733], took 0.04min 2025-12-04T10:06:04.5541005Z 2025-12-04T10:06:04.5541858Z dynamo/test_base_hop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_base_hop_1.1_2564a5bd3fe806b6_.log 2025-12-04T10:06:04.5542334Z 2025-12-04T10:06:04.5542551Z Finished dynamo/test_base_hop 1/1 ... [2025-12-04 10:06:04.553476][4304.970536407], took 0.04min 2025-12-04T10:06:05.9176891Z Running dynamo/test_bytecode_utils 1/1 ... [2025-12-04 10:06:05.917219][4306.33427757] 2025-12-04T10:06:05.9178034Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:06:05.9178935Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_bytecode_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 10:06:05.917604] 2025-12-04T10:06:06.8689733Z Running dynamo/test_compiler_bisector 1/1 ... [2025-12-04 10:06:06.868493][4307.285552267] 2025-12-04T10:06:06.8690563Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:06:06.8692591Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_compiler_bisector.py', '-m', 'not serial', '--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 10:06:06.868856] 2025-12-04T10:06:08.2231973Z 2025-12-04T10:06:08.2233016Z dynamo/test_bytecode_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_bytecode_utils_1.1_1c90a89a703e6475_.log 2025-12-04T10:06:08.2233764Z 2025-12-04T10:06:08.2234139Z Finished dynamo/test_bytecode_utils 1/1 ... [2025-12-04 10:06:08.222596][4308.639654824], took 0.04min 2025-12-04T10:06:10.5674144Z Running dynamo/test_ctx_manager 1/1 ... [2025-12-04 10:06:10.566895][4310.983953509] 2025-12-04T10:06:10.5674670Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:06:10.5676659Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_ctx_manager.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:06:10.567229] 2025-12-04T10:06:11.5483002Z 2025-12-04T10:06:11.5484202Z dynamo/test_autograd_function 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_autograd_function_1.1_913f2d243d43ad33_.log 2025-12-04T10:06:11.5484639Z 2025-12-04T10:06:11.5484871Z Finished dynamo/test_autograd_function 1/1 ... [2025-12-04 10:06:11.547876][4311.964935417], took 0.17min 2025-12-04T10:06:13.8403742Z Running dynamo/test_debug_utils 1/1 ... [2025-12-04 10:06:13.839938][4314.256996227] 2025-12-04T10:06:13.8404146Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:06:13.8405151Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_debug_utils.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:06:13.840322] 2025-12-04T10:06:16.2381997Z 2025-12-04T10:06:16.2383176Z dynamo/test_debug_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_debug_utils_1.1_12f9566406ecdf3a_.log 2025-12-04T10:06:16.2383859Z 2025-12-04T10:06:16.2384175Z Finished dynamo/test_debug_utils 1/1 ... [2025-12-04 10:06:16.237739][4316.654800195], took 0.04min 2025-12-04T10:06:16.9706683Z 2025-12-04T10:06:16.9707618Z dynamo/test_compiler_bisector 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_compiler_bisector_1.1_d0a36be180100ccd_.log 2025-12-04T10:06:16.9708060Z 2025-12-04T10:06:16.9708259Z Finished dynamo/test_compiler_bisector 1/1 ... [2025-12-04 10:06:16.970236][4317.387295613], took 0.17min 2025-12-04T10:06:18.5957588Z Running dynamo/test_deviceguard 1/1 ... [2025-12-04 10:06:18.595303][4319.012361717] 2025-12-04T10:06:18.5958136Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:06:18.5959284Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_deviceguard.py', '-m', 'not serial', '--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 10:06:18.595648] 2025-12-04T10:06:19.1684949Z Running dynamo/test_einops 1/1 ... [2025-12-04 10:06:19.167972][4319.58503084] 2025-12-04T10:06:19.1685408Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:06:19.1687635Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_einops.py', '-m', 'not serial', '--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 10:06:19.168357] 2025-12-04T10:06:20.7622169Z 2025-12-04T10:06:20.7623233Z dynamo/test_ctx_manager 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_ctx_manager_1.1_641c0825a76d38fd_.log 2025-12-04T10:06:20.7623680Z 2025-12-04T10:06:20.7623927Z Finished dynamo/test_ctx_manager 1/1 ... [2025-12-04 10:06:20.761902][4321.178960494], took 0.17min 2025-12-04T10:06:20.9748523Z 2025-12-04T10:06:20.9749676Z dynamo/test_deviceguard 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_deviceguard_1.1_73769c887d9aac7f_.log 2025-12-04T10:06:20.9750090Z 2025-12-04T10:06:20.9750271Z Finished dynamo/test_deviceguard 1/1 ... [2025-12-04 10:06:20.974345][4321.391404307], took 0.04min 2025-12-04T10:06:21.3793753Z 2025-12-04T10:06:21.3794845Z dynamo/test_einops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_einops_1.1_44c7c0e7549f4e03_.log 2025-12-04T10:06:21.3795496Z 2025-12-04T10:06:21.3795765Z Finished dynamo/test_einops 1/1 ... [2025-12-04 10:06:21.379004][4321.796062585], took 0.04min 2025-12-04T10:06:23.0453329Z Running dynamo/test_exceptions 1/1 ... [2025-12-04 10:06:23.044951][4323.462010286] 2025-12-04T10:06:23.0453792Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:06:23.0455196Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_exceptions.py', '-m', 'not serial', '--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 10:06:23.045298] 2025-12-04T10:06:23.3715734Z Running dynamo/test_flat_apply 1/1 ... [2025-12-04 10:06:23.370926][4323.787983993] 2025-12-04T10:06:23.3716572Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:06:23.3717695Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_flat_apply.py', '-m', 'not serial', '--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 10:06:23.371305] 2025-12-04T10:06:23.7565821Z Running dynamo/test_fx_annotate 1/1 ... [2025-12-04 10:06:23.756000][4324.173058948] 2025-12-04T10:06:23.7566190Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:06:23.7566897Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_fx_annotate.py', '-m', 'not serial', '--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 10:06:23.756315] 2025-12-04T10:06:25.3253447Z 2025-12-04T10:06:25.3254436Z dynamo/test_exceptions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_exceptions_1.1_41cdb93a659dee2d_.log 2025-12-04T10:06:25.3255154Z 2025-12-04T10:06:25.3255469Z Finished dynamo/test_exceptions 1/1 ... [2025-12-04 10:06:25.325021][4325.742081127], took 0.04min 2025-12-04T10:06:25.6589622Z 2025-12-04T10:06:25.6591016Z dynamo/test_flat_apply 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_flat_apply_1.1_e2442ed146f312cc_.log 2025-12-04T10:06:25.6591960Z 2025-12-04T10:06:25.6592248Z Finished dynamo/test_flat_apply 1/1 ... [2025-12-04 10:06:25.658472][4326.075531082], took 0.04min 2025-12-04T10:06:27.6533180Z Running dynamo/test_generator 1/1 ... [2025-12-04 10:06:27.652691][4328.06974976] 2025-12-04T10:06:27.6533742Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:06:27.6534878Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_generator.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:06:27.653050] 2025-12-04T10:06:27.9935334Z Running dynamo/test_graph_region_tracker 1/1 ... [2025-12-04 10:06:27.993027][4328.410084419] 2025-12-04T10:06:27.9935860Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:06:27.9937906Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_graph_region_tracker.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:06:27.993543] 2025-12-04T10:06:30.0117644Z 2025-12-04T10:06:30.0118490Z dynamo/test_generator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_generator_1.1_c1b90d5b2e45ad77_.log 2025-12-04T10:06:30.0119180Z 2025-12-04T10:06:30.0119379Z Finished dynamo/test_generator 1/1 ... [2025-12-04 10:06:30.011473][4330.428533268], took 0.04min 2025-12-04T10:06:30.3465264Z 2025-12-04T10:06:30.3466567Z dynamo/test_graph_region_tracker 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_graph_region_tracker_1.1_370b61828f15f216_.log 2025-12-04T10:06:30.3467391Z 2025-12-04T10:06:30.3468016Z Finished dynamo/test_graph_region_tracker 1/1 ... [2025-12-04 10:06:30.346165][4330.763223748], took 0.04min 2025-12-04T10:06:32.3077655Z Running dynamo/test_higher_order_ops 1/1 ... [2025-12-04 10:06:32.307324][4332.724383175] 2025-12-04T10:06:32.3078192Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:06:32.3081061Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_higher_order_ops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:06:32.307661] 2025-12-04T10:06:32.7232168Z Running dynamo/test_input_attr_tracking 1/1 ... [2025-12-04 10:06:32.722751][4333.139810204] 2025-12-04T10:06:32.7233021Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:06:32.7234153Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_input_attr_tracking.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:06:32.723094] 2025-12-04T10:06:33.6952396Z 2025-12-04T10:06:33.6953439Z dynamo/test_fx_annotate 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_fx_annotate_1.1_d5e8b268131def82_.log 2025-12-04T10:06:33.6954065Z 2025-12-04T10:06:33.6954368Z Finished dynamo/test_fx_annotate 1/1 ... [2025-12-04 10:06:33.694813][4334.111872107], took 0.17min 2025-12-04T10:06:35.0752132Z 2025-12-04T10:06:35.0753668Z dynamo/test_input_attr_tracking 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_input_attr_tracking_1.1_2ad6a4bd92e166e9_.log 2025-12-04T10:06:35.0754388Z 2025-12-04T10:06:35.0754715Z Finished dynamo/test_input_attr_tracking 1/1 ... [2025-12-04 10:06:35.074814][4335.491874556], took 0.04min 2025-12-04T10:06:35.9661904Z Running dynamo/test_list 1/1 ... [2025-12-04 10:06:35.965619][4336.38267638] 2025-12-04T10:06:35.9662408Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:06:35.9663505Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_list.py', '-m', 'not serial', '--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 10:06:35.966013] 2025-12-04T10:06:37.3632978Z Running dynamo/test_minifier 1/1 ... [2025-12-04 10:06:37.362855][4337.779914037] 2025-12-04T10:06:37.3633485Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:06:37.3635040Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_minifier.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:06:37.363293] 2025-12-04T10:06:38.3107553Z 2025-12-04T10:06:38.3108546Z dynamo/test_list 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_list_1.1_c7b63f02ecb27ead_.log 2025-12-04T10:06:38.3109198Z 2025-12-04T10:06:38.3109500Z Finished dynamo/test_list 1/1 ... [2025-12-04 10:06:38.310320][4338.727379769], took 0.04min 2025-12-04T10:06:39.5677288Z 2025-12-04T10:06:39.5678828Z dynamo/test_minifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_minifier_1.1_4f63b6abdde0d4d7_.log 2025-12-04T10:06:39.5679804Z 2025-12-04T10:06:39.5680188Z Finished dynamo/test_minifier 1/1 ... [2025-12-04 10:06:39.567196][4339.984257207], took 0.04min 2025-12-04T10:06:40.5931514Z Running dynamo/test_modes 1/1 ... [2025-12-04 10:06:40.592552][4341.009610029] 2025-12-04T10:06:40.5931963Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:06:40.5932610Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_modes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:06:40.592911] 2025-12-04T10:06:41.9169816Z Running dynamo/test_nops 1/1 ... [2025-12-04 10:06:41.916509][4342.333568495] 2025-12-04T10:06:41.9170330Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:06:41.9171740Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_nops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:06:41.916863] 2025-12-04T10:06:42.8275038Z 2025-12-04T10:06:42.8275961Z dynamo/test_higher_order_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_higher_order_ops_1.1_440f200a02a31f86_.log 2025-12-04T10:06:42.8276672Z 2025-12-04T10:06:42.8276885Z Finished dynamo/test_higher_order_ops 1/1 ... [2025-12-04 10:06:42.826833][4343.243892388], took 0.18min 2025-12-04T10:06:44.3121453Z 2025-12-04T10:06:44.3122199Z dynamo/test_nops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_nops_1.1_27963ece94df376d_.log 2025-12-04T10:06:44.3122588Z 2025-12-04T10:06:44.3122784Z Finished dynamo/test_nops 1/1 ... [2025-12-04 10:06:44.311729][4344.72878928], took 0.04min 2025-12-04T10:06:45.1152714Z Running dynamo/test_pgo 1/1 ... [2025-12-04 10:06:45.114731][4345.531788004] 2025-12-04T10:06:45.1153424Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:06:45.1155848Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_pgo.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:06:45.115286] 2025-12-04T10:06:46.5964026Z Running dynamo/test_profiler 1/1 ... [2025-12-04 10:06:46.595954][4347.013012867] 2025-12-04T10:06:46.5964380Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:06:46.5965143Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/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 10:06:46.596306] 2025-12-04T10:06:47.5481767Z 2025-12-04T10:06:47.5482963Z dynamo/test_pgo 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_pgo_1.1_12e3cd23bfb2ba98_.log 2025-12-04T10:06:47.5483612Z 2025-12-04T10:06:47.5483898Z Finished dynamo/test_pgo 1/1 ... [2025-12-04 10:06:47.547716][4347.96477697], took 0.04min 2025-12-04T10:06:48.9686178Z 2025-12-04T10:06:48.9687184Z dynamo/test_profiler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_profiler_1.1_8f6a2739c7e3107a_.log 2025-12-04T10:06:48.9687854Z 2025-12-04T10:06:48.9688139Z Finished dynamo/test_profiler 1/1 ... [2025-12-04 10:06:48.968181][4349.385239853], took 0.04min 2025-12-04T10:06:49.9463652Z Running dynamo/test_recompile_ux 1/1 ... [2025-12-04 10:06:49.945747][4350.362805492] 2025-12-04T10:06:49.9464031Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:06:49.9464861Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_recompile_ux.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:06:49.946074] 2025-12-04T10:06:50.4166288Z 2025-12-04T10:06:50.4167392Z dynamo/test_modes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_modes_1.1_976d5c490c37bd7a_.log 2025-12-04T10:06:50.4167782Z 2025-12-04T10:06:50.4167963Z Finished dynamo/test_modes 1/1 ... [2025-12-04 10:06:50.416122][4350.833182984], took 0.16min 2025-12-04T10:06:51.3679028Z Running dynamo/test_regional_inductor 1/1 ... [2025-12-04 10:06:51.367227][4351.78428505] 2025-12-04T10:06:51.3679578Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:06:51.3680707Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_regional_inductor.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:06:51.367575] 2025-12-04T10:06:52.3922436Z 2025-12-04T10:06:52.3923696Z dynamo/test_recompile_ux 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_recompile_ux_1.1_7dc34859e5bd1296_.log 2025-12-04T10:06:52.3924246Z 2025-12-04T10:06:52.3924514Z Finished dynamo/test_recompile_ux 1/1 ... [2025-12-04 10:06:52.391838][4352.808900366], took 0.04min 2025-12-04T10:06:52.6462300Z Running dynamo/test_resume 1/1 ... [2025-12-04 10:06:52.645778][4353.062836924] 2025-12-04T10:06:52.6463061Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:06:52.6463768Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_resume.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:06:52.646127] 2025-12-04T10:06:54.6370628Z Running dynamo/test_skip_guard_eval_unsafe 1/1 ... [2025-12-04 10:06:54.636491][4355.053548381] 2025-12-04T10:06:54.6371097Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:06:54.6372029Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_skip_guard_eval_unsafe.py', '-m', 'not serial', '--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 10:06:54.636891] 2025-12-04T10:06:54.8145203Z 2025-12-04T10:06:54.8146536Z dynamo/test_resume 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_resume_1.1_403c3c21cd15056f_.log 2025-12-04T10:06:54.8147202Z 2025-12-04T10:06:54.8147471Z Finished dynamo/test_resume 1/1 ... [2025-12-04 10:06:54.814179][4355.23123905], took 0.04min 2025-12-04T10:06:57.0057982Z 2025-12-04T10:06:57.0059421Z dynamo/test_skip_guard_eval_unsafe 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_skip_guard_eval_unsafe_1.1_ce0d0929a8acca65_.log 2025-12-04T10:06:57.0060253Z 2025-12-04T10:06:57.0060645Z Finished dynamo/test_skip_guard_eval_unsafe 1/1 ... [2025-12-04 10:06:57.005177][4357.422235294], took 0.04min 2025-12-04T10:06:57.0987659Z Running dynamo/test_streams 1/1 ... [2025-12-04 10:06:57.098284][4357.51534221] 2025-12-04T10:06:57.0988187Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:06:57.0989371Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_streams.py', '-m', 'not serial', '--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 10:06:57.098693] 2025-12-04T10:06:59.3799480Z Running dynamo/test_subgraphs 1/1 ... [2025-12-04 10:06:59.379513][4359.796570441] 2025-12-04T10:06:59.3799968Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:06:59.3801168Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_subgraphs.py', '-m', 'not serial', '--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 10:06:59.379926] 2025-12-04T10:06:59.5437274Z 2025-12-04T10:06:59.5438334Z dynamo/test_streams 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_streams_1.1_3001092ddd3fa765_.log 2025-12-04T10:06:59.5439245Z 2025-12-04T10:06:59.5439516Z Finished dynamo/test_streams 1/1 ... [2025-12-04 10:06:59.543262][4359.960324009], took 0.04min 2025-12-04T10:07:01.2822814Z 2025-12-04T10:07:01.2823991Z dynamo/test_regional_inductor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_regional_inductor_1.1_d7760654390f8a86_.log 2025-12-04T10:07:01.2824733Z 2025-12-04T10:07:01.2825201Z Finished dynamo/test_regional_inductor 1/1 ... [2025-12-04 10:07:01.281824][4361.698885556], took 0.17min 2025-12-04T10:07:01.7896738Z 2025-12-04T10:07:01.7897821Z dynamo/test_subgraphs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_subgraphs_1.1_5b13a3605a2a0667_.log 2025-12-04T10:07:01.7898540Z 2025-12-04T10:07:01.7899165Z Finished dynamo/test_subgraphs 1/1 ... [2025-12-04 10:07:01.789206][4362.206264842], took 0.04min 2025-12-04T10:07:01.8152928Z Running dynamo/test_unittest 1/1 ... [2025-12-04 10:07:01.814762][4362.231820102] 2025-12-04T10:07:01.8153496Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:07:01.8154429Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_unittest.py', '-m', 'not serial', '--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 10:07:01.815124] 2025-12-04T10:07:03.6394646Z Running dynamo/test_verify_correctness 1/1 ... [2025-12-04 10:07:03.639015][4364.056073844] 2025-12-04T10:07:03.6395047Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:07:03.6395899Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_verify_correctness.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:07:03.639394] 2025-12-04T10:07:04.0900673Z Running functorch/test_ac 1/1 ... [2025-12-04 10:07:04.089488][4364.506544542] 2025-12-04T10:07:04.0901091Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:07:04.0901723Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_ac.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:07:04.089877] 2025-12-04T10:07:04.1050045Z 2025-12-04T10:07:04.1050648Z dynamo/test_unittest 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_unittest_1.1_3e0f72e2de7d21d8_.log 2025-12-04T10:07:04.1051011Z 2025-12-04T10:07:04.1051197Z Finished dynamo/test_unittest 1/1 ... [2025-12-04 10:07:04.104523][4364.521584407], took 0.04min 2025-12-04T10:07:05.9648293Z 2025-12-04T10:07:05.9649450Z dynamo/test_verify_correctness 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_verify_correctness_1.1_932f2c00ab9939c5_.log 2025-12-04T10:07:05.9650225Z 2025-12-04T10:07:05.9650582Z Finished dynamo/test_verify_correctness 1/1 ... [2025-12-04 10:07:05.964463][4366.381522381], took 0.04min 2025-12-04T10:07:06.2892450Z Running optim/test_optim 1/1 ... [2025-12-04 10:07:06.288573][4366.705631427] 2025-12-04T10:07:06.2892830Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:07:06.2893612Z Executing ['/opt/conda/envs/py_3.13/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 10:07:06.288897] 2025-12-04T10:07:08.1907264Z Running test_appending_byte_serializer 1/1 ... [2025-12-04 10:07:08.190169][4368.607227234] 2025-12-04T10:07:08.1907836Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:07:08.1909330Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_appending_byte_serializer.py', '-m', 'not serial', '--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 10:07:08.190526] 2025-12-04T10:07:08.4864851Z 2025-12-04T10:07:08.4983189Z optim/test_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_optim_1.1_3351529f908be512_.log 2025-12-04T10:07:08.4983832Z 2025-12-04T10:07:08.4984102Z Finished optim/test_optim 1/1 ... [2025-12-04 10:07:08.486171][4368.903230062], took 0.04min 2025-12-04T10:07:10.3007932Z 2025-12-04T10:07:10.3009274Z test_appending_byte_serializer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_appending_byte_serializer_1.1_b394b1217b6b52a9_.log 2025-12-04T10:07:10.3010050Z 2025-12-04T10:07:10.3011316Z Finished test_appending_byte_serializer 1/1 ... [2025-12-04 10:07:10.300333][4370.717391901], took 0.04min 2025-12-04T10:07:10.7856544Z Running test_cuda_sanitizer 1/1 ... [2025-12-04 10:07:10.785035][4371.202093576] 2025-12-04T10:07:10.7857065Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:07:10.7857930Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_cuda_sanitizer.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:07:10.785373] 2025-12-04T10:07:12.6033747Z Running test_opaque_obj_v2 1/1 ... [2025-12-04 10:07:12.602878][4373.019937248] 2025-12-04T10:07:12.6034193Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:07:12.6034946Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_opaque_obj_v2.py', '-m', 'not serial', '--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 10:07:12.603266] 2025-12-04T10:07:13.0312552Z 2025-12-04T10:07:13.0313376Z test_cuda_sanitizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_sanitizer_1.1_be22ccb53982be03_.log 2025-12-04T10:07:13.0313885Z Running 0 items in this shard: 2025-12-04T10:07:13.0314020Z 2025-12-04T10:07:13.0314211Z Finished test_cuda_sanitizer 1/1 ... [2025-12-04 10:07:13.030782][4373.447839967], took 0.04min 2025-12-04T10:07:13.0359120Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cuda_sanitizer/test_cuda_sanitizer-e310544be6990097.xml 2025-12-04T10:07:13.9418683Z 2025-12-04T10:07:13.9419785Z functorch/test_ac 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ac_1.1_f0aafd808a5db068_.log 2025-12-04T10:07:13.9420519Z 2025-12-04T10:07:13.9420805Z Finished functorch/test_ac 1/1 ... [2025-12-04 10:07:13.941235][4374.358294549], took 0.16min 2025-12-04T10:07:15.0111038Z 2025-12-04T10:07:15.0112168Z test_opaque_obj_v2 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_opaque_obj_v2_1.1_ce0ede5c217c24ad_.log 2025-12-04T10:07:15.0112788Z 2025-12-04T10:07:15.0113067Z Finished test_opaque_obj_v2 1/1 ... [2025-12-04 10:07:15.010814][4375.427875108], took 0.04min 2025-12-04T10:07:15.3221929Z Running test_unary_ufuncs 2/2 ... [2025-12-04 10:07:15.321627][4375.738686083] 2025-12-04T10:07:15.3222486Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:07:15.3223528Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_unary_ufuncs.py', '-m', 'not serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:07:15.321988] 2025-12-04T10:07:16.1408558Z Running xpu/test_conv 1/1 ... [2025-12-04 10:07:16.140325][4376.557384431] 2025-12-04T10:07:16.1409007Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:07:16.1409963Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'xpu/test_conv.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:07:16.140650] 2025-12-04T10:07:18.6913322Z 2025-12-04T10:07:18.6914023Z xpu/test_conv 1/1 was successful, full logs can be found in artifacts with path test/test-reports/xpu.test_conv_1.1_398814e365f7751d_.log 2025-12-04T10:07:18.6914484Z Running 0 items in this shard: 2025-12-04T10:07:18.6914617Z 2025-12-04T10:07:18.6914767Z Finished xpu/test_conv 1/1 ... [2025-12-04 10:07:18.691024][4379.108083556], took 0.04min 2025-12-04T10:07:18.6996310Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/xpu.test_conv/xpu.test_conv-59a962b9637a4d72.xml 2025-12-04T10:13:52.0410078Z 2025-12-04T10:13:52.0411564Z test_unary_ufuncs 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_unary_ufuncs_2.2_dee5da81df50ca2d_.log 2025-12-04T10:13:52.3017735Z Running 12346 items in this shard: test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_abs_angle_complex_to_float_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_abs_angle_complex_to_float_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_abs_signed_zero_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bfloat16_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bfloat16_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bfloat16_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bool_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bool_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bool_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bool_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_byte_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_byte_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_byte_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_byte_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_byte_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_byte_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cdouble_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cdouble_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cdouble_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cdouble_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cdouble_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cfloat_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cfloat_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cfloat_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cfloat_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cfloat_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cfloat_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cfloat_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cfloat_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_chalf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_chalf_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_chalf_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_chalf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_chalf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_chalf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_chalf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_chalf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_chalf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_chalf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_char_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_char_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_char_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_char_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_double_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_double_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_double_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_double_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_double_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_double_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_float_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_float_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_float_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_float_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_float_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_float_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_float_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_half_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_half_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_half_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_half_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_int_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_int_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_int_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_long_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_long_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_long_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_long_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_long_cpu_complex64, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_byte_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_byte_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_byte_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_byte_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cdouble_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cdouble_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cdouble_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cdouble_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cdouble_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cdouble_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cdouble_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_ceil_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_ceil_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_ceil_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cfloat_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cfloat_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cfloat_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cfloat_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_chalf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_chalf_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_chalf_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_chalf_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_chalf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_chalf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_chalf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_char_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_char_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_char_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_char_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_char_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_char_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_char_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_char_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_physical_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_physical_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_physical_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_physical_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cos_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cos_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cos_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cos_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cos_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cos_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cos_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cos_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cos_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cosh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cosh_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cosh_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cosh_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cosh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cosh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cosh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_deg2rad_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_deg2rad_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_deg2rad_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_digamma_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_digamma_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_digamma_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_digamma_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_digamma_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_digamma_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_double_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_double_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_double_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_double_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_double_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_double_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_double_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_double_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_double_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_erf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_erf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_erf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_erf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_erf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_erf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_erf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_erfc_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_erfc_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_erfc_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_erfinv_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_erfinv_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_erfinv_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_erfinv_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_erfinv_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_erfinv_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_erfinv_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_erfinv_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_exp2_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_exp2_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_exp2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_exp2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_exp2_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_exp2_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_exp_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_exp_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_expm1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_expm1_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_expm1_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_expm1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_expm1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_expm1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_expm1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_fill_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_fill_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_fill_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_fill_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_fill_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_fill_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_fill_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_fill_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_fill_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_fill_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_fill_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_float_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_float_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_float_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_float_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_float_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_float_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_floor_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_floor_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_floor_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_floor_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_frac_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_frexp_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_frexp_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_half_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_half_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_half_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_half_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_half_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_half_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_half_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_half_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_i0_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_i0_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_i0_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_i0_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_i0_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_imag_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_imag_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_int_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_int_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_int_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isfinite_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isfinite_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isfinite_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isfinite_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isfinite_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isfinite_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isfinite_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isfinite_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isinf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isinf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isinf_cpu_complex64, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isposinf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isposinf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isposinf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isposinf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isreal_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isreal_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_jiterator_unary_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_jiterator_unary_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_jiterator_unary_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_lgamma_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_lgamma_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_lgamma_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_lgamma_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_lgamma_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log10_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log10_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log10_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log10_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log10_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log1p_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log1p_cpu_complex128, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_logical_not_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_logical_not_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_logical_not_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_logical_not_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_logical_not_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_logical_not_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_logical_not_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_logical_not_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_logit_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_logit_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_logit_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_long_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_long_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_long_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_long_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_long_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_long_cpu_int64, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nan_to_num_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nan_to_num_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nan_to_num_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nan_to_num_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_neg_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_neg_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_neg_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_neg_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_neg_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_neg_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_neg_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_elu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_elu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardsigmoid_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardsigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardtanh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardtanh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardtanh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardtanh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_logsigmoid_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_mish_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_mish_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_mish_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_prelu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_relu6_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_relu6_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_relu6_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_relu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_relu_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_relu_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_relu_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_rrelu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_selu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_silu_complex_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_silu_complex_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_silu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_silu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_silu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_softplus_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_softplus_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_softplus_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_softplus_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_softshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_softsign_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_softsign_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_softsign_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_softsign_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_tanhshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_tanhshrink_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_tanhshrink_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_threshold_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_threshold_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_threshold_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_threshold_cpu_float64, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_polygamma_polygamma_n_1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_polygamma_polygamma_n_1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_polygamma_polygamma_n_2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_polygamma_polygamma_n_2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_polygamma_polygamma_n_2_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_polygamma_polygamma_n_2_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_polygamma_polygamma_n_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_polygamma_polygamma_n_3_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_polygamma_polygamma_n_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_polygamma_polygamma_n_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_polygamma_polygamma_n_3_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_polygamma_polygamma_n_3_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_polygamma_polygamma_n_3_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_polygamma_polygamma_n_4_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_polygamma_polygamma_n_4_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_polygamma_polygamma_n_4_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_positive_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_positive_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_positive_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_positive_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_positive_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_rad2deg_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_rad2deg_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_rad2deg_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_rad2deg_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_rad2deg_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_rad2deg_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_rad2deg_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_rad2deg_cpu_int64, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_reciprocal_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_reciprocal_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_reciprocal_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_reciprocal_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_reciprocal_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_reciprocal_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_reciprocal_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_round_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_round_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_round_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_round_cpu_int64, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_special_modified_bessel_k1_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_special_modified_bessel_k1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_special_modified_bessel_k1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_special_modified_bessel_k1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_special_ndtr_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_special_ndtr_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_special_ndtr_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_special_ndtr_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_special_ndtr_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_special_ndtr_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_special_ndtri_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_special_ndtri_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_special_ndtri_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_special_ndtri_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_special_ndtri_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_special_polygamma_special_polygamma_n_0_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_special_polygamma_special_polygamma_n_0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_special_polygamma_special_polygamma_n_0_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_special_scaled_modified_bessel_k0_cpu_bool, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_log1p_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_log1p_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_log1p_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_log2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_log2_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_log2_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_log2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_log2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_log2_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_log2_cpu_int32, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_logical_not_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_logical_not_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_logical_not_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_logical_not_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nan_to_num_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nan_to_num_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nan_to_num_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nan_to_num_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nan_to_num_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_neg_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_neg_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_neg_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_neg_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_neg_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_neg_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_neg_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_neg_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_celu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_celu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_celu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_elu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_elu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_hardshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_hardshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_hardtanh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_hardtanh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_hardtanh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_mish_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_prelu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_prelu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu6_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu6_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu6_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu6_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu6_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu6_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_selu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_selu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_softplus_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_softshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_softshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_threshold_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_threshold_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_threshold_cpu_int64, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_rad2deg_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_rad2deg_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_rad2deg_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_rad2deg_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_real_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_real_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_real_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_real_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_real_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_reciprocal_cpu_bfloat16, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_sin_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_sin_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_sin_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_sin_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_sin_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_sin_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_sin_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_sinc_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_sinc_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_sinc_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_sinc_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_sinc_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_sinh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_sinh_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_sinh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_sinh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_sinh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_sinh_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_special_bessel_j0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_special_bessel_j0_cpu_float64, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cos_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cos_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cos_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cosh_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cosh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cosh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cosh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cosh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cosh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cosh_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_deg2rad_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_digamma_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_digamma_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_digamma_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_digamma_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_digamma_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_digamma_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_digamma_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_double_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_double_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_double_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_double_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_double_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_double_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_double_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_double_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfc_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfc_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfc_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfc_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfc_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfinv_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfinv_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfinv_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfinv_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfinv_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfinv_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp2_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp2_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp2_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp2_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp2_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp2_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp2_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp2_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_expm1_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_expm1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_expm1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_expm1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_fill_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_fill_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_fill_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_fill_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_fill_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_fill_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_float_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_float_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_float_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_float_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_float_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_float_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_float_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_floor_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_floor_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_floor_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_frac_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_frac_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_frexp_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_half_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_half_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_half_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_half_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_half_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_half_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_i0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_i0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_i0_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_i0_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_imag_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_imag_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_int_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_int_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_int_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_int_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_int_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_int_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_int_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isfinite_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isfinite_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isfinite_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isfinite_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isfinite_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isfinite_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isfinite_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isinf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isinf_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isinf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isinf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isinf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isnan_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isnan_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isnan_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isnan_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isnan_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isneginf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isneginf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isposinf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isposinf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isposinf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isposinf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isposinf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isposinf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_jiterator_unary_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_jiterator_unary_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_jiterator_unary_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_jiterator_unary_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_jiterator_unary_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_lgamma_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_lgamma_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_lgamma_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log10_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log10_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log10_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log10_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log10_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logit_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logit_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logit_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logit_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logit_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logit_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_1_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_3_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_5_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_5_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_5_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nan_to_num_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nan_to_num_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nan_to_num_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nan_to_num_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nan_to_num_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nan_to_num_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_celu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_elu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardsigmoid_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardtanh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardtanh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardtanh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardtanh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_logsigmoid_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_logsigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_mish_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_mish_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_mish_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_prelu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_prelu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_prelu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_prelu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu6_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu6_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu6_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu6_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu6_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_rrelu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_selu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_selu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_selu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_silu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_silu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softplus_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softplus_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softplus_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_threshold_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_threshold_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_threshold_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_threshold_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_2_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_2_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_2_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rad2deg_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rad2deg_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rad2deg_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rad2deg_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rad2deg_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rad2deg_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rad2deg_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_decimals_0_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_decimals_0_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_decimals_0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_decimals_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_decimals_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_decimals_neg_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_decimals_neg_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rsqrt_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rsqrt_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rsqrt_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rsqrt_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rsqrt_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rsqrt_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sgn_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sgn_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sgn_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sgn_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sgn_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sgn_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sgn_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sgn_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_short_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_short_cpu_complex128, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_abs_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_abs_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_abs_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_abs_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_abs_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_abs_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_abs_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acos_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acos_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acos_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acos_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acos_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acos_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acos_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acos_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acos_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acosh_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acosh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_angle_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_angle_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_angle_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_angle_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_asin_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_asin_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_asin_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_asin_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_asin_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_asin_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_asin_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_asin_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_asin_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_asinh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_asinh_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_asinh_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_asinh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_asinh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_asinh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_asinh_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_atan_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_atan_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_atan_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_atan_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_atanh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_atanh_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_atanh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_atanh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bitwise_not_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bitwise_not_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bitwise_not_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bool_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bool_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bool_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bool_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bool_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bool_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cdouble_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cdouble_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cdouble_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cdouble_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cdouble_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cdouble_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cdouble_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cdouble_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_ceil_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_ceil_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_ceil_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_deg2rad_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_deg2rad_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_deg2rad_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_deg2rad_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_deg2rad_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_digamma_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_digamma_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_digamma_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_digamma_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_digamma_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_digamma_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_digamma_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfc_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfc_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfc_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfc_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfc_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfinv_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfinv_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfinv_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfinv_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfinv_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfinv_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfinv_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_floor_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_floor_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_floor_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_floor_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_half_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_half_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_half_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_half_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_half_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_half_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_half_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_i0_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_i0_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_i0_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_i0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_i0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_i0_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_i0_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_i0_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_i0_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_imag_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_imag_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isnan_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isnan_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isnan_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isnan_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isnan_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isnan_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isneginf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isneginf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isneginf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isposinf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isposinf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isposinf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isposinf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_lgamma_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_lgamma_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_lgamma_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_lgamma_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_lgamma_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_lgamma_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logical_not_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logical_not_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logical_not_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logical_not_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logical_not_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logical_not_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logit_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logit_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logit_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logit_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logit_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_long_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_long_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_long_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_long_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_long_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_1_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_3_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_3_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_3_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_3_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_3_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_5_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_5_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_5_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nan_to_num_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nan_to_num_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nan_to_num_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nan_to_num_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nan_to_num_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nan_to_num_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nan_to_num_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_celu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_celu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_elu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardtanh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardtanh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardtanh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardtanh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_logsigmoid_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_logsigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_logsigmoid_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_mish_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_mish_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_prelu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_prelu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu6_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu6_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu6_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_rrelu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_selu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_selu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_selu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_silu_complex_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_silu_complex_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_silu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_silu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_silu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softplus_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softplus_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softplus_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_threshold_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_threshold_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_threshold_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_3_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_3_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_4_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_4_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_4_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_4_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rad2deg_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rad2deg_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rad2deg_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rad2deg_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rad2deg_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rad2deg_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_decimals_0_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_decimals_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_decimals_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_decimals_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_decimals_neg_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_decimals_neg_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sign_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sign_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sign_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sign_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sign_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_signbit_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_signbit_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_signbit_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_signbit_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_signbit_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_signbit_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_airy_ai_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_airy_ai_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_airy_ai_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_airy_ai_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_airy_ai_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_airy_ai_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j0_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j0_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j0_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y0_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y0_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_entr_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_entr_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_entr_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_entr_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_entr_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_entr_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_erfcx_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_erfcx_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_erfcx_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_erfcx_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_i0e_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_i0e_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_i0e_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_i0e_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_i0e_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_i1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_i1_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_i1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_i1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_i1e_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_i1e_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_i1e_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_i1e_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_i1e_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_i1e_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_log_ndtr_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_log_ndtr_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_modified_bessel_i0_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_modified_bessel_i0_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_modified_bessel_i1_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_modified_bessel_i1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_modified_bessel_i1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_modified_bessel_k0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_modified_bessel_k0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_modified_bessel_k0_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_modified_bessel_k0_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_modified_bessel_k1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_modified_bessel_k1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_modified_bessel_k1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_ndtr_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_ndtr_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_ndtr_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_ndtr_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_ndtr_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_ndtr_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_ndtri_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_ndtri_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_ndtri_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_ndtri_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_polygamma_special_polygamma_n_0_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_polygamma_special_polygamma_n_0_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_polygamma_special_polygamma_n_0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_scaled_modified_bessel_k0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_scaled_modified_bessel_k0_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_scaled_modified_bessel_k0_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_scaled_modified_bessel_k0_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_scaled_modified_bessel_k1_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_scaled_modified_bessel_k1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_scaled_modified_bessel_k1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_scaled_modified_bessel_k1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_scaled_modified_bessel_k1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_spherical_bessel_j0_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_spherical_bessel_j0_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_spherical_bessel_j0_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_spherical_bessel_j0_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_spherical_bessel_j0_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_spherical_bessel_j0_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sqrt_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sqrt_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sqrt_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sqrt_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sqrt_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sqrt_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sqrt_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_square_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_square_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_square_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_square_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_square_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_square_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_square_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_tan_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_tan_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_tan_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_tan_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_tan_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_tan_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_tanh_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_tanh_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_tanh_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_tanh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_tanh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_tanh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_tanh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_tanh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_tanh_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_trunc_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_trunc_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_trunc_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_trunc_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_trunc_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_trunc_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_digamma_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_digamma_special_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_exp_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_exp_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_exp_slow_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_acos_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_acos_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_acos_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_atanh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_atanh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_atanh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_atanh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_erfinv_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_erfinv_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log10_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log10_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log1p_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log1p_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log1p_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log2_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_rsqrt_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_rsqrt_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_logit_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_logit_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_logit_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_1_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_3_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_5_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_ndtri_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_sqrt_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_sqrt_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_sqrt_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_acos_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_acosh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_acosh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_acosh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_asin_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_asin_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_atanh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_atanh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_erfinv_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log10_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log1p_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log2_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_logit_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_1_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_5_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_rsqrt_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_rsqrt_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_rsqrt_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_special_ndtri_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_special_ndtri_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_sqrt_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_sqrt_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_sqrt_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_frexp_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_frexp_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardshrink_edge_cases_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardsigmoid_backward_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardsigmoid_backward_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardsigmoid_backward_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardsigmoid_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardsigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardswish_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_i0_range1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_i0_range1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_i0_range2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_i0_range2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_i0_range2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_i0_special_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_i0_special_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_i0_special_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igamma_common_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igamma_common_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igamma_edge_cases_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igamma_edge_cases_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igammac_common_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igammac_common_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igammac_common_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igammac_common_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igammac_edge_cases_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_isposinf_isneginf_non_boolean_output_cpu_bfloat16, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_nan_to_num_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_nan_to_num_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_nan_to_num_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_nan_to_num_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_nan_to_num_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_nan_to_num_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig__refs__conversions_bfloat16_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig__refs__conversions_bfloat16_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig__refs__conversions_bfloat16_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig__refs__conversions_bfloat16_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig__refs__conversions_bfloat16_cpu_int16, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_atanh_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_atanh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_atanh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_atanh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_atanh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_atanh_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bfloat16_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bfloat16_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bfloat16_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bfloat16_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bfloat16_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bfloat16_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bitwise_not_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bitwise_not_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bitwise_not_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bitwise_not_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bool_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bool_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bool_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bool_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bool_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bool_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bool_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bool_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_byte_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_byte_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_byte_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_byte_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_byte_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_byte_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_ceil_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_ceil_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_ceil_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_ceil_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_ceil_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cosh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cosh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cosh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cosh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cosh_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_deg2rad_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_deg2rad_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_deg2rad_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_deg2rad_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_digamma_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_digamma_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_digamma_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_digamma_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_digamma_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_digamma_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_digamma_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_double_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_double_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_double_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_double_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_double_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_double_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erfc_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erfc_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erfc_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erfc_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erfc_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erfinv_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erfinv_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erfinv_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erfinv_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erfinv_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_exp2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_exp2_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_exp2_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_exp2_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_exp2_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_exp_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_exp_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_exp_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_exp_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_expm1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_expm1_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_expm1_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_expm1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_expm1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_fill_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_fill_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_fill_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_fill_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_fill_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_fill_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_fill_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_float_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_float_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_float_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_float_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_float_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_float_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_float_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_floor_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_floor_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_floor_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_floor_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_floor_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_frac_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_frexp_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_frexp_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_frexp_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_frexp_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_half_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_half_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_half_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_half_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_half_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_half_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_i0_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_i0_cpu_float32, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_isfinite_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_isfinite_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_isfinite_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_isfinite_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_isfinite_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_isinf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_isinf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_isinf_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_isinf_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_isinf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_isinf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_isinf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_isnan_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_isnan_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_isnan_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_isnan_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_isnan_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_isnan_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_isnan_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_isnan_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_isneginf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_isneginf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_isneginf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_isneginf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_isneginf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_isposinf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_isposinf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_isposinf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_isposinf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_isposinf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_isposinf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_isreal_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_isreal_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_isreal_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_isreal_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_isreal_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_jiterator_unary_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_jiterator_unary_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_jiterator_unary_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_jiterator_unary_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_jiterator_unary_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_lgamma_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_lgamma_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_lgamma_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log10_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log10_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log10_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log10_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log10_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log1p_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log1p_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log1p_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log2_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log2_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log2_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log2_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log2_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_logical_not_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_logical_not_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_logical_not_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_logical_not_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_logical_not_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_logical_not_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_logical_not_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_logit_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_logit_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_logit_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_logit_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_logit_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_long_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_long_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_long_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_long_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_long_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_1_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_3_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_3_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_5_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_5_cpu_float64, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_celu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_celu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_celu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_celu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_elu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_elu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_elu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_elu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardsigmoid_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardsigmoid_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardsigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardsigmoid_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardtanh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardtanh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_logsigmoid_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_logsigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_logsigmoid_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_prelu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu6_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu6_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu6_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu6_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_rrelu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_rrelu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_selu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_selu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_silu_complex_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_silu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_threshold_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_threshold_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_threshold_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_threshold_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_threshold_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_0_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_0_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_0_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_0_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_0_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_0_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_0_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_1_cpu_int16, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_3_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_3_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_3_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_3_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_4_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_4_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_4_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_4_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_4_cpu_int8, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_rad2deg_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_real_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_real_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_real_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_real_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_real_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_real_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_reciprocal_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_reciprocal_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_reciprocal_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_reciprocal_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_reciprocal_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_round_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_round_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_round_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_round_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_round_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_round_decimals_0_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_round_decimals_0_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_round_decimals_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_round_decimals_neg_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_rsqrt_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_rsqrt_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_rsqrt_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_rsqrt_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sgn_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sgn_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sgn_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sgn_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sgn_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sgn_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sgn_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_short_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_short_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_short_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_short_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_short_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sigmoid_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sigmoid_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sigmoid_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sigmoid_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sigmoid_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sigmoid_cpu_uint8, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sin_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sin_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sin_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sin_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sinc_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sinc_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sinc_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sinc_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sinc_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sinh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sinh_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sinh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sinh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sinh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sinh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sinh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_airy_ai_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_airy_ai_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_airy_ai_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_airy_ai_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_bessel_j0_cpu_bool, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_erfcx_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_erfcx_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_erfcx_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_erfcx_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_i0e_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_i0e_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_i0e_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_i0e_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_i0e_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_i1_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_i1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_i1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_i1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_i1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_i1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_i1e_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_i1e_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_log_ndtr_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_log_ndtr_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_modified_bessel_i0_cpu_float32, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_ndtr_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_ndtr_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_ndtr_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_ndtr_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_ndtr_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_ndtri_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_ndtri_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_ndtri_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_ndtri_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_ndtri_cpu_int32, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_log_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_log_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_log_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_log_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_logical_not_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_logical_not_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_logical_not_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_logical_not_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_logical_not_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_logit_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_logit_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_logit_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_logit_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_logit_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_logit_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_logit_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_long_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_long_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_long_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_long_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_long_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_long_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_long_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_long_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_long_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_mvlgamma_mvlgamma_p_1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_mvlgamma_mvlgamma_p_1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_mvlgamma_mvlgamma_p_1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_mvlgamma_mvlgamma_p_1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_mvlgamma_mvlgamma_p_3_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_mvlgamma_mvlgamma_p_3_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_mvlgamma_mvlgamma_p_3_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_mvlgamma_mvlgamma_p_3_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_mvlgamma_mvlgamma_p_5_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_mvlgamma_mvlgamma_p_5_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nan_to_num_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nan_to_num_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nan_to_num_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_neg_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_neg_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_neg_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_neg_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_neg_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_celu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_elu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_elu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_hardshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_hardshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_hardsigmoid_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_hardsigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_hardtanh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_hardtanh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_hardtanh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_logsigmoid_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_logsigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_mish_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_mish_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_mish_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_prelu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_relu6_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_relu6_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_relu6_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_relu6_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_relu6_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_relu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_relu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_relu_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_relu_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_relu_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_rrelu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_rrelu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_rrelu_cpu_float64, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_softshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_softshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_softsign_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_softsign_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_softsign_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_softsign_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_tanhshrink_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_tanhshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_tanhshrink_cpu_float64, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_positive_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_positive_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_positive_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_positive_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_rad2deg_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_rad2deg_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_rad2deg_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_rad2deg_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_rad2deg_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_real_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_real_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_real_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_real_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_real_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_real_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_real_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_real_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_reciprocal_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_reciprocal_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_reciprocal_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_reciprocal_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_reciprocal_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_round_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_round_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_round_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_round_decimals_0_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_round_decimals_0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_round_decimals_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_round_decimals_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_round_decimals_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_round_decimals_neg_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_round_decimals_neg_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_rsqrt_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_rsqrt_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_rsqrt_cpu_complex64, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_extremal_polygamma_polygamma_n_4_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_extremal_polygamma_polygamma_n_4_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_extremal_positive_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_extremal_positive_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_extremal_positive_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_extremal_positive_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_extremal_positive_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_extremal_rad2deg_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_extremal_rad2deg_cpu_float32, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_scaled_modified_bessel_k1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_spherical_bessel_j0_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_sqrt_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_sqrt_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_sqrt_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_sqrt_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_sqrt_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_square_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_square_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_square_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_square_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_square_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_square_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_tan_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_tan_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_tan_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_tan_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_tan_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_tanh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_tanh_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_tanh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_tanh_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_trunc_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_trunc_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_trunc_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_trunc_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_trunc_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_silu_complex_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_silu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_sinc_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_special_i0_i1_vs_scipy_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_special_log_ndtr_vs_scipy_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_special_ndtr_vs_scipy_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_special_ndtr_vs_scipy_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_threshold_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_threshold_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_threshold_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_unary_out_op_mem_overlap_cpu_float64 2025-12-04T10:13:52.5469766Z 2025-12-04T10:13:52.5470067Z Finished test_unary_ufuncs 2/2 ... [2025-12-04 10:13:52.053923][4772.470976868], took 6.61min 2025-12-04T10:13:52.5470754Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_unary_ufuncs/test_unary_ufuncs-4c1af350059ef9e3.xml 2025-12-04T10:13:52.9228476Z Running test batch 'tests to run' cost 4223.4 seconds 2025-12-04T10:14:11.0959366Z 2025-12-04T10:14:11.0959863Z real 70m43.700s 2025-12-04T10:14:11.0960162Z user 91m3.459s 2025-12-04T10:14:11.0960391Z sys 16m4.480s 2025-12-04T10:14:11.0985595Z + assert_git_not_dirty 2025-12-04T10:14:11.1019154Z + [[ linux-jammy-py3.13-clang12 != *rocm* ]] 2025-12-04T10:14:11.1019429Z + [[ linux-jammy-py3.13-clang12 != *xla* ]] 2025-12-04T10:14:11.1044348Z ++ git status --porcelain 2025-12-04T10:14:11.1044730Z ++ grep -v '?? third_party' 2025-12-04T10:14:56.7144528Z ++ true 2025-12-04T10:14:56.7185211Z + git_status= 2025-12-04T10:14:56.7185420Z + [[ -n '' ]] 2025-12-04T10:14:56.7185611Z + [[ 1 == 1 ]] 2025-12-04T10:14:56.7185863Z + test_aten 2025-12-04T10:14:56.7196041Z + echo 'Running ATen tests with pytorch lib' 2025-12-04T10:14:56.7196383Z Running ATen tests with pytorch lib 2025-12-04T10:14:56.7196624Z + [[ -n '' ]] 2025-12-04T10:14:56.7196808Z + echo 'Running test with the build folder' 2025-12-04T10:14:56.7197020Z Running test with the build folder 2025-12-04T10:14:56.7197217Z + TEST_BASE_DIR=build/bin 2025-12-04T10:14:56.7197518Z + ln -sf /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libc10.so build/bin 2025-12-04T10:14:56.7239242Z + ln -sf '/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libcaffe2*' build/bin 2025-12-04T10:14:56.7244571Z + ln -sf '/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libmkldnn*' build/bin 2025-12-04T10:14:56.7252606Z + ln -sf '/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libnccl*' build/bin 2025-12-04T10:14:56.7261986Z + ln -sf /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libtorch.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libtorch_cpu.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libtorch_global_deps.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libtorch_python.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libtorchbind_test.so build/bin 2025-12-04T10:14:56.7269243Z + ls build/bin 2025-12-04T10:14:56.7328628Z BackoffTest cpu_generator_test 2025-12-04T10:14:56.7329017Z CMakeFiles cpu_profiling_allocator_test 2025-12-04T10:14:56.7329537Z CTestTestfile.cmake cpu_rng_test 2025-12-04T10:14:56.7329851Z CppSignature_test dlconvertor_test 2025-12-04T10:14:56.7330147Z Dict_test example_allreduce 2025-12-04T10:14:56.7330439Z Dimname_test extension_backend_test 2025-12-04T10:14:56.7330724Z FileStoreTest half_test 2025-12-04T10:14:56.7330967Z HashStoreTest inline_container_test 2025-12-04T10:14:56.7331375Z IListRef_test ivalue_test 2025-12-04T10:14:56.7331679Z KernelFunction_test kernel_function_legacy_test 2025-12-04T10:14:56.7331961Z List_test kernel_function_test 2025-12-04T10:14:56.7332317Z MaybeOwned_test kernel_lambda_legacy_test 2025-12-04T10:14:56.7332677Z NamedTensor_test kernel_lambda_test 2025-12-04T10:14:56.7333026Z ProcessGroupGlooTest kernel_stackbased_test 2025-12-04T10:14:56.7333392Z StorageUtils_test lazy_tensor_test 2025-12-04T10:14:56.7333640Z TCPStoreTest legacy_vmap_test 2025-12-04T10:14:56.7333879Z apply_utils_test libc10.so 2025-12-04T10:14:56.7334108Z atest 'libcaffe2*' 2025-12-04T10:14:56.7334335Z backend_fallback_test 'libmkldnn*' 2025-12-04T10:14:56.7334595Z basic 'libnccl*' 2025-12-04T10:14:56.7334790Z broadcast_test libtorch.so 2025-12-04T10:14:56.7335040Z c10_AllocatorConfig_test libtorch_cpu.so 2025-12-04T10:14:56.7335297Z c10_ArrayRef_test libtorch_global_deps.so 2025-12-04T10:14:56.7335613Z c10_Bitset_test libtorch_python.so 2025-12-04T10:14:56.7335894Z c10_CompileTimeFunctionPointer_test libtorchbind_test.so 2025-12-04T10:14:56.7336213Z c10_ConstexprCrc_test make_boxed_from_unboxed_functor_test 2025-12-04T10:14:56.7336490Z c10_DeadlockDetection_test math_kernel_test 2025-12-04T10:14:56.7336724Z c10_DeviceGuard_test memory_format_test 2025-12-04T10:14:56.7336957Z c10_Device_test memory_overlapping_test 2025-12-04T10:14:56.7337203Z c10_DispatchKeySet_test mobile_memory_cleanup 2025-12-04T10:14:56.7337425Z c10_Enumerate_test native_test 2025-12-04T10:14:56.7337635Z c10_Half_test op_allowlist_test 2025-12-04T10:14:56.7337872Z c10_InlineDeviceGuard_test op_registration_test 2025-12-04T10:14:56.7338121Z c10_InlineStreamGuard_test operator_name_test 2025-12-04T10:14:56.7338369Z c10_IntrusiveList_test operators_test 2025-12-04T10:14:56.7338620Z c10_LeftRight_test packedtensoraccessor_test 2025-12-04T10:14:56.7338889Z c10_NetworkFlow_test parallel_benchmark 2025-12-04T10:14:56.7339109Z c10_Scalar_test pow_test 2025-12-04T10:14:56.7339339Z c10_Semaphore_test protoc 2025-12-04T10:14:56.7339582Z c10_SizesAndStrides_test protoc-3.13.0.0 2025-12-04T10:14:56.7339814Z c10_StreamGuard_test quantized_test 2025-12-04T10:14:56.7340045Z c10_SymInt_test reduce_ops_test 2025-12-04T10:14:56.7340299Z c10_Synchronized_test reportMemoryUsage_test 2025-12-04T10:14:56.7340538Z c10_ThreadLocal_test scalar_tensor_test 2025-12-04T10:14:56.7340777Z c10_TypeIndex_test scalar_test 2025-12-04T10:14:56.7341009Z c10_accumulate_test static_runtime_bench 2025-12-04T10:14:56.7341234Z c10_bfloat16_test static_runtime_test 2025-12-04T10:14:56.7341473Z c10_bit_cast_test stride_properties_test 2025-12-04T10:14:56.7341723Z c10_complex_math_test tensor_iterator_test 2025-12-04T10:14:56.7341970Z c10_complex_test test_aoti_abi_check 2025-12-04T10:14:56.7342185Z c10_cow_test test_api 2025-12-04T10:14:56.7342389Z c10_error_test test_cpp_rpc 2025-12-04T10:14:56.7342664Z c10_exception_test test_dist_autograd 2025-12-04T10:14:56.7342878Z c10_flags_test test_jit 2025-12-04T10:14:56.7343093Z c10_generic_math_test test_lazy 2025-12-04T10:14:56.7343328Z c10_intrusive_ptr_benchmark test_parallel 2025-12-04T10:14:56.7343567Z c10_intrusive_ptr_test test_vec_half_AVX2 2025-12-04T10:14:56.7343818Z c10_irange_test test_vec_half_AVX512 2025-12-04T10:14:56.7344053Z c10_lazy_test test_vec_half_DEFAULT 2025-12-04T10:14:56.7344289Z c10_logging_test thread_init_test 2025-12-04T10:14:56.7344515Z c10_nofatal_test torch_shm_manager 2025-12-04T10:14:56.7344855Z c10_optional_test type_ptr_test 2025-12-04T10:14:56.7345135Z c10_ordered_preserving_dict_test type_test 2025-12-04T10:14:56.7345435Z c10_registry_test undefined_tensor_test 2025-12-04T10:14:56.7345737Z c10_small_vector_test vec_test_all_types_AVX2 2025-12-04T10:14:56.7346055Z c10_ssize_test vec_test_all_types_AVX512 2025-12-04T10:14:56.7346318Z c10_string_util_test vec_test_all_types_DEFAULT 2025-12-04T10:14:56.7346608Z c10_string_view_test verify_api_visibility 2025-12-04T10:14:56.7346899Z c10_tempfile_test weakref_test 2025-12-04T10:14:56.7347137Z c10_typeid_test wrapdim_test 2025-12-04T10:14:56.7347395Z cmake_install.cmake xla_tensor_test 2025-12-04T10:14:56.7347651Z cpu_allocator_test 2025-12-04T10:14:56.7347866Z + aten/tools/run_tests.sh build/bin 2025-12-04T10:14:56.7376689Z + set -e 2025-12-04T10:14:56.7379191Z ++ dirname aten/tools/run_tests.sh 2025-12-04T10:14:56.7408384Z + VALGRIND_SUP=/var/lib/jenkins/workspace/aten/tools/valgrind.sup 2025-12-04T10:14:56.7413946Z + export CPP_TESTS_DIR=build/bin 2025-12-04T10:14:56.7414304Z + CPP_TESTS_DIR=build/bin 2025-12-04T10:14:56.7414532Z + VALGRIND=ON 2025-12-04T10:14:56.7416192Z + 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 2025-12-04T10:14:58.3600355Z No TD results found 2025-12-04T10:14:58.3600975Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T10:14:58.3708119Z ##[warning] Gathered no stats from artifacts for dynamo-test (3.13) build env and dynamo_wrapped test config. Using default job name and dynamo_wrapped test config instead. 2025-12-04T10:14:58.4088517Z ##[warning] Gathered no stats from artifacts for dynamo-test (3.13) build env and dynamo_wrapped test config. Using default job name and dynamo_wrapped test config instead. 2025-12-04T10:14:58.4091716Z Running all tests 2025-12-04T10:14:58.4092038Z Running parallel tests on 3 processes 2025-12-04T10:14:58.4092350Z Name: tests to run (est. time: 0.0min) 2025-12-04T10:14:58.4092592Z Serial tests (0): 2025-12-04T10:14:58.4092804Z Parallel tests (19): 2025-12-04T10:14:58.4093016Z cpp/Dict_test 1/1 2025-12-04T10:14:58.4093228Z cpp/Dimname_test 1/1 2025-12-04T10:14:58.4093448Z cpp/NamedTensor_test 1/1 2025-12-04T10:14:58.4093688Z cpp/apply_utils_test 1/1 2025-12-04T10:14:58.4093893Z cpp/atest 1/1 2025-12-04T10:14:58.4094089Z cpp/basic 1/1 2025-12-04T10:14:58.4094295Z cpp/broadcast_test 1/1 2025-12-04T10:14:58.4094527Z cpp/cpu_generator_test 1/1 2025-12-04T10:14:58.4094801Z cpp/dlconvertor_test 1/1 2025-12-04T10:14:58.4095110Z cpp/extension_backend_test 1/1 2025-12-04T10:14:58.4095433Z cpp/lazy_tensor_test 1/1 2025-12-04T10:14:58.4095691Z cpp/legacy_vmap_test 1/1 2025-12-04T10:14:58.4096004Z cpp/native_test 1/1 2025-12-04T10:14:58.4096253Z cpp/operators_test 1/1 2025-12-04T10:14:58.4096494Z cpp/scalar_tensor_test 1/1 2025-12-04T10:14:58.4097000Z cpp/scalar_test 1/1 2025-12-04T10:14:58.4097260Z cpp/tensor_iterator_test 1/1 2025-12-04T10:14:58.4097534Z cpp/undefined_tensor_test 1/1 2025-12-04T10:14:58.4097846Z cpp/wrapdim_test 1/1 2025-12-04T10:14:58.4098109Z Name: excluded (est. time: 0.0min) 2025-12-04T10:14:58.4098378Z Serial tests (0): 2025-12-04T10:14:58.4098658Z Parallel tests (0): 2025-12-04T10:14:58.4098992Z Running cpp/Dict_test 1/1 ... [2025-12-04 10:14:58.409454][4838.826516299] 2025-12-04T10:14:58.4099315Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:14:58.4099826Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/Dict_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:14:58.409729] 2025-12-04T10:15:03.8368107Z 2025-12-04T10:15:03.8369194Z cpp/Dict_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dict_test_1.1_33f7ba0b28f60939_.log 2025-12-04T10:15:03.8369584Z 2025-12-04T10:15:03.8369780Z Finished cpp/Dict_test 1/1 ... [2025-12-04 10:15:03.836350][4844.253409578], took 0.09min 2025-12-04T10:15:04.8503316Z Uploading artifacts took 1.01 seconds 2025-12-04T10:15:04.8505375Z Running cpp/Dimname_test 1/1 ... [2025-12-04 10:15:04.849601][4845.266656711] 2025-12-04T10:15:04.8506647Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:15:04.8507206Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/Dimname_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:15:04.850038] 2025-12-04T10:15:09.7274160Z 2025-12-04T10:15:09.7275080Z cpp/Dimname_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dimname_test_1.1_dc60601ad6fdee04_.log 2025-12-04T10:15:09.7275508Z 2025-12-04T10:15:09.7275753Z Finished cpp/Dimname_test 1/1 ... [2025-12-04 10:15:09.726885][4850.143943835], took 0.08min 2025-12-04T10:15:09.7319304Z Running cpp/NamedTensor_test 1/1 ... [2025-12-04 10:15:09.731519][4850.148581133] 2025-12-04T10:15:09.7319668Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:15:09.7320212Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/NamedTensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:15:09.731747] 2025-12-04T10:15:14.7579359Z 2025-12-04T10:15:14.7580566Z cpp/NamedTensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.NamedTensor_test_1.1_305653c462f21df4_.log 2025-12-04T10:15:14.7581265Z 2025-12-04T10:15:14.7581605Z Finished cpp/NamedTensor_test 1/1 ... [2025-12-04 10:15:14.757394][4855.174453871], took 0.08min 2025-12-04T10:15:14.7623508Z Running cpp/apply_utils_test 1/1 ... [2025-12-04 10:15:14.762118][4855.17918027] 2025-12-04T10:15:14.7623979Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:15:14.7625842Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/apply_utils_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:15:14.762390] 2025-12-04T10:15:19.6886821Z 2025-12-04T10:15:19.6887896Z 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_7af754c36cee6769_.log 2025-12-04T10:15:19.6888297Z 2025-12-04T10:15:19.6888531Z Finished cpp/apply_utils_test 1/1 ... [2025-12-04 10:15:19.687832][4860.104891586], took 0.08min 2025-12-04T10:15:19.6929014Z Running cpp/atest 1/1 ... [2025-12-04 10:15:19.692484][4860.109545941] 2025-12-04T10:15:19.6929945Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:15:19.6930480Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/atest', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:15:19.692737] 2025-12-04T10:15:24.6189727Z 2025-12-04T10:15:24.6190767Z cpp/atest 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.atest_1.1_ff6f4ebd05f99652_.log 2025-12-04T10:15:24.6191173Z 2025-12-04T10:15:24.6191334Z Finished cpp/atest 1/1 ... [2025-12-04 10:15:24.618203][4865.035263346], took 0.08min 2025-12-04T10:15:24.6234763Z Running cpp/basic 1/1 ... [2025-12-04 10:15:24.622823][4865.03988489] 2025-12-04T10:15:24.6235083Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:15:24.6236889Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/basic', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:15:24.623077] 2025-12-04T10:15:29.5485602Z 2025-12-04T10:15:29.5486562Z cpp/basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.basic_1.1_8bcd46d5dcdeef5d_.log 2025-12-04T10:15:29.5487037Z 2025-12-04T10:15:29.5487213Z Finished cpp/basic 1/1 ... [2025-12-04 10:15:29.547861][4869.964921531], took 0.08min 2025-12-04T10:15:29.5528819Z Running cpp/broadcast_test 1/1 ... [2025-12-04 10:15:29.552605][4869.969667139] 2025-12-04T10:15:29.5530078Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:15:29.5530807Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/broadcast_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:15:29.552857] 2025-12-04T10:15:34.5296492Z 2025-12-04T10:15:34.5299044Z cpp/broadcast_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.broadcast_test_1.1_10105108c9155584_.log 2025-12-04T10:15:34.5299904Z 2025-12-04T10:15:34.5300171Z Finished cpp/broadcast_test 1/1 ... [2025-12-04 10:15:34.528850][4874.945910952], took 0.08min 2025-12-04T10:15:34.5342258Z Running cpp/cpu_generator_test 1/1 ... [2025-12-04 10:15:34.533467][4874.950529054] 2025-12-04T10:15:34.5342724Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:15:34.5343202Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cpu_generator_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:15:34.533714] 2025-12-04T10:15:39.4096090Z 2025-12-04T10:15:39.4097085Z 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_4a42e6705185f0e5_.log 2025-12-04T10:15:39.4097948Z 2025-12-04T10:15:39.4098179Z Finished cpp/cpu_generator_test 1/1 ... [2025-12-04 10:15:39.409206][4879.826265495], took 0.08min 2025-12-04T10:15:39.4145451Z Running cpp/dlconvertor_test 1/1 ... [2025-12-04 10:15:39.414108][4879.83116911] 2025-12-04T10:15:39.4145919Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:15:39.4146461Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/dlconvertor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:15:39.414348] 2025-12-04T10:15:44.3900745Z 2025-12-04T10:15:44.3901485Z cpp/dlconvertor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.dlconvertor_test_1.1_a3e7770ba7c387f9_.log 2025-12-04T10:15:44.3901876Z 2025-12-04T10:15:44.3902135Z Finished cpp/dlconvertor_test 1/1 ... [2025-12-04 10:15:44.389633][4884.806693034], took 0.08min 2025-12-04T10:15:44.3949455Z Running cpp/extension_backend_test 1/1 ... [2025-12-04 10:15:44.394360][4884.8114219] 2025-12-04T10:15:44.3949818Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:15:44.3950302Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/extension_backend_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:15:44.394622] 2025-12-04T10:15:49.3218268Z 2025-12-04T10:15:49.3219069Z 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_07c9d131c3d99793_.log 2025-12-04T10:15:49.3219528Z 2025-12-04T10:15:49.3219753Z Finished cpp/extension_backend_test 1/1 ... [2025-12-04 10:15:49.321102][4889.738162379], took 0.08min 2025-12-04T10:15:49.3266613Z Running cpp/lazy_tensor_test 1/1 ... [2025-12-04 10:15:49.326132][4889.743193901] 2025-12-04T10:15:49.3266968Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:15:49.3267521Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/lazy_tensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:15:49.326376] 2025-12-04T10:15:54.2024296Z 2025-12-04T10:15:54.2025269Z 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_bfb580823dcde189_.log 2025-12-04T10:15:54.2025736Z 2025-12-04T10:15:54.2025943Z Finished cpp/lazy_tensor_test 1/1 ... [2025-12-04 10:15:54.201737][4894.618796285], took 0.08min 2025-12-04T10:15:54.2067709Z Running cpp/legacy_vmap_test 1/1 ... [2025-12-04 10:15:54.206340][4894.62340293] 2025-12-04T10:15:54.2068145Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:15:54.2069961Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/legacy_vmap_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:15:54.206575] 2025-12-04T10:15:59.1825990Z 2025-12-04T10:15:59.1827098Z 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_1abbf8a156248354_.log 2025-12-04T10:15:59.1827494Z 2025-12-04T10:15:59.1827704Z Finished cpp/legacy_vmap_test 1/1 ... [2025-12-04 10:15:59.182001][4899.599060842], took 0.08min 2025-12-04T10:15:59.1871127Z Running cpp/native_test 1/1 ... [2025-12-04 10:15:59.186687][4899.60374826] 2025-12-04T10:15:59.1871494Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:15:59.1871942Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/native_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:15:59.186914] 2025-12-04T10:16:04.0641147Z 2025-12-04T10:16:04.0644298Z cpp/native_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.native_test_1.1_8eb4dd6789169d40_.log 2025-12-04T10:16:04.0644654Z 2025-12-04T10:16:04.0644815Z Finished cpp/native_test 1/1 ... [2025-12-04 10:16:04.063455][4904.480514652], took 0.08min 2025-12-04T10:16:04.0683236Z Running cpp/operators_test 1/1 ... [2025-12-04 10:16:04.068087][4904.485148913] 2025-12-04T10:16:04.0683797Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:16:04.0684594Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/operators_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:16:04.068340] 2025-12-04T10:16:08.9947512Z 2025-12-04T10:16:08.9948537Z cpp/operators_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.operators_test_1.1_4043458b454b1111_.log 2025-12-04T10:16:08.9949199Z 2025-12-04T10:16:08.9949476Z Finished cpp/operators_test 1/1 ... [2025-12-04 10:16:08.993738][4909.410799233], took 0.08min 2025-12-04T10:16:08.9990580Z Running cpp/scalar_tensor_test 1/1 ... [2025-12-04 10:16:08.998343][4909.415404533] 2025-12-04T10:16:08.9990909Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:16:08.9991400Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/scalar_tensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:16:08.998589] 2025-12-04T10:16:13.9249319Z 2025-12-04T10:16:13.9250068Z 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_f6ee9b9796362cc0_.log 2025-12-04T10:16:13.9250450Z 2025-12-04T10:16:13.9250637Z Finished cpp/scalar_tensor_test 1/1 ... [2025-12-04 10:16:13.924341][4914.341401425], took 0.08min 2025-12-04T10:16:13.9294704Z Running cpp/scalar_test 1/1 ... [2025-12-04 10:16:13.928946][4914.346008447] 2025-12-04T10:16:13.9295031Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:16:13.9295551Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/scalar_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:16:13.929174] 2025-12-04T10:16:18.9053788Z 2025-12-04T10:16:18.9056351Z cpp/scalar_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.scalar_test_1.1_ad4170e24c0d0aa4_.log 2025-12-04T10:16:18.9056733Z 2025-12-04T10:16:18.9056950Z Finished cpp/scalar_test 1/1 ... [2025-12-04 10:16:18.904192][4919.321252097], took 0.08min 2025-12-04T10:16:18.9091137Z Running cpp/tensor_iterator_test 1/1 ... [2025-12-04 10:16:18.908763][4919.325824465] 2025-12-04T10:16:18.9091481Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:16:18.9097707Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/tensor_iterator_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:16:18.908994] 2025-12-04T10:16:23.9349766Z 2025-12-04T10:16:23.9350806Z 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_b86e0cf927d7b5e6_.log 2025-12-04T10:16:23.9351279Z 2025-12-04T10:16:23.9351516Z Finished cpp/tensor_iterator_test 1/1 ... [2025-12-04 10:16:23.934315][4924.351375452], took 0.08min 2025-12-04T10:16:23.9392522Z Running cpp/undefined_tensor_test 1/1 ... [2025-12-04 10:16:23.938865][4924.355926641] 2025-12-04T10:16:23.9392984Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:16:23.9393537Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/undefined_tensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:16:23.939098] 2025-12-04T10:16:28.8647509Z 2025-12-04T10:16:28.8648393Z 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_a1b90793e6ba0825_.log 2025-12-04T10:16:28.8649313Z 2025-12-04T10:16:28.8649535Z Finished cpp/undefined_tensor_test 1/1 ... [2025-12-04 10:16:28.864393][4929.281452951], took 0.08min 2025-12-04T10:16:28.8692825Z Running cpp/wrapdim_test 1/1 ... [2025-12-04 10:16:28.869004][4929.286065899] 2025-12-04T10:16:28.8693215Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:16:28.8694176Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/wrapdim_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:16:28.869242] 2025-12-04T10:16:33.7952870Z 2025-12-04T10:16:33.7953672Z cpp/wrapdim_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.wrapdim_test_1.1_b54cbdce54ac830d_.log 2025-12-04T10:16:33.7954026Z 2025-12-04T10:16:33.7954194Z Finished cpp/wrapdim_test 1/1 ... [2025-12-04 10:16:33.794896][4934.211956221], took 0.08min 2025-12-04T10:16:35.4992223Z Running cpp/Dict_test 1/1 ... [2025-12-04 10:16:35.498780][4935.915839852] 2025-12-04T10:16:35.4992636Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:16:35.4993653Z Running cpp/Dimname_test 1/1 ... [2025-12-04 10:16:35.499109][4935.916167771] 2025-12-04T10:16:35.4994497Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/Dict_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:16:35.499127] 2025-12-04T10:16:35.4995154Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:16:35.4996816Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/Dimname_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:16:35.499480] 2025-12-04T10:16:35.5036883Z Running cpp/NamedTensor_test 1/1 ... [2025-12-04 10:16:35.503497][4935.920557461] 2025-12-04T10:16:35.5037178Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:16:35.5039426Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/NamedTensor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:16:35.503802] 2025-12-04T10:16:43.7356371Z 2025-12-04T10:16:43.7357541Z cpp/Dimname_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dimname_test_1.1_2e26dc55a0bbbfdb_.log 2025-12-04T10:16:43.7358415Z 2025-12-04T10:16:44.1365360Z Finished cpp/Dimname_test 1/1 ... [2025-12-04 10:16:43.735451][4944.152508554], took 0.14min 2025-12-04T10:16:44.1365766Z 2025-12-04T10:16:44.1366297Z cpp/NamedTensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.NamedTensor_test_1.1_c71a49b2d6abdd89_.log 2025-12-04T10:16:44.1366877Z 2025-12-04T10:16:44.1367144Z Finished cpp/NamedTensor_test 1/1 ... [2025-12-04 10:16:44.136261][4944.553318795], took 0.14min 2025-12-04T10:16:46.5396461Z Running cpp/apply_utils_test 1/1 ... [2025-12-04 10:16:46.539045][4946.956104971] 2025-12-04T10:16:46.5396919Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:16:46.5397396Z 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 10:16:46.539390] 2025-12-04T10:16:46.7545867Z Running cpp/atest 1/1 ... [2025-12-04 10:16:46.753790][4947.170847795] 2025-12-04T10:16:46.7546371Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:16:46.7546911Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/atest', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:16:46.754154] 2025-12-04T10:16:46.8886313Z 2025-12-04T10:16:46.8887591Z cpp/Dict_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dict_test_1.1_57b9bd45d3051f39_.log 2025-12-04T10:16:46.8888179Z 2025-12-04T10:16:46.8888417Z Finished cpp/Dict_test 1/1 ... [2025-12-04 10:16:46.888454][4947.305513582], took 0.19min 2025-12-04T10:16:49.4486835Z Running cpp/basic 1/1 ... [2025-12-04 10:16:49.448089][4949.865145728] 2025-12-04T10:16:49.4487718Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:16:49.4489213Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/basic', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:16:49.448689] 2025-12-04T10:16:54.3713745Z 2025-12-04T10:16:54.3714732Z 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_3024a4ddc0bd11d0_.log 2025-12-04T10:16:54.3715373Z 2025-12-04T10:16:54.3715682Z Finished cpp/apply_utils_test 1/1 ... [2025-12-04 10:16:54.371169][4954.788227592], took 0.13min 2025-12-04T10:16:55.4473339Z 2025-12-04T10:16:55.4474275Z cpp/atest 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.atest_1.1_a4269fc998672c29_.log 2025-12-04T10:16:55.4478781Z 2025-12-04T10:16:55.4482154Z Finished cpp/atest 1/1 ... [2025-12-04 10:16:55.448048][4955.865104403], took 0.14min 2025-12-04T10:16:57.1872424Z Running cpp/broadcast_test 1/1 ... [2025-12-04 10:16:57.186636][4957.603694881] 2025-12-04T10:16:57.1872917Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:16:57.1873397Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/broadcast_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:16:57.186983] 2025-12-04T10:16:57.2047782Z 2025-12-04T10:16:57.2049219Z cpp/basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.basic_1.1_684e613817775dd9_.log 2025-12-04T10:16:57.2049778Z 2025-12-04T10:16:57.2050035Z Finished cpp/basic 1/1 ... [2025-12-04 10:16:57.204672][4957.621729281], took 0.13min 2025-12-04T10:16:57.8866412Z Running cpp/cpu_generator_test 1/1 ... [2025-12-04 10:16:57.885765][4958.302824928] 2025-12-04T10:16:57.8866807Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:16:57.8867353Z 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 10:16:57.886130] 2025-12-04T10:16:59.5271576Z Running cpp/dlconvertor_test 1/1 ... [2025-12-04 10:16:59.526648][4959.943705689] 2025-12-04T10:16:59.5272111Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:16:59.5275619Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/dlconvertor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:16:59.527317] 2025-12-04T10:17:04.2716909Z 2025-12-04T10:17:04.2717828Z cpp/broadcast_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.broadcast_test_1.1_5b12b886d9f87209_.log 2025-12-04T10:17:04.2721391Z 2025-12-04T10:17:04.2721829Z Finished cpp/broadcast_test 1/1 ... [2025-12-04 10:17:04.271628][4964.688684989], took 0.12min 2025-12-04T10:17:06.3413358Z 2025-12-04T10:17:06.3414881Z 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_620824f2aac9164f_.log 2025-12-04T10:17:06.3420939Z 2025-12-04T10:17:06.3421638Z Finished cpp/cpu_generator_test 1/1 ... [2025-12-04 10:17:06.341970][4966.759026246], took 0.14min 2025-12-04T10:17:07.1797323Z Running cpp/extension_backend_test 1/1 ... [2025-12-04 10:17:07.179149][4967.596206793] 2025-12-04T10:17:07.1797845Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:17:07.1799283Z 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 10:17:07.179529] 2025-12-04T10:17:07.4799264Z 2025-12-04T10:17:07.4800621Z cpp/dlconvertor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.dlconvertor_test_1.1_986dc3b70757527e_.log 2025-12-04T10:17:07.4801341Z 2025-12-04T10:17:07.4801655Z Finished cpp/dlconvertor_test 1/1 ... [2025-12-04 10:17:07.479444][4967.896503416], took 0.13min 2025-12-04T10:17:08.8907303Z Running cpp/lazy_tensor_test 1/1 ... [2025-12-04 10:17:08.890120][4969.30717859] 2025-12-04T10:17:08.8908011Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:17:08.8908533Z 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 10:17:08.890457] 2025-12-04T10:17:09.9908392Z Running cpp/legacy_vmap_test 1/1 ... [2025-12-04 10:17:09.990094][4970.40715159] 2025-12-04T10:17:09.9908921Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:17:09.9909753Z 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 10:17:09.990585] 2025-12-04T10:17:13.9099305Z 2025-12-04T10:17:13.9100342Z 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_b148bc959856c656_.log 2025-12-04T10:17:13.9101041Z 2025-12-04T10:17:13.9101344Z Finished cpp/extension_backend_test 1/1 ... [2025-12-04 10:17:13.909509][4974.326566374], took 0.11min 2025-12-04T10:17:15.8753652Z 2025-12-04T10:17:15.8754874Z 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_cc4a0946d47fc2ef_.log 2025-12-04T10:17:15.8755777Z 2025-12-04T10:17:15.8756134Z Finished cpp/lazy_tensor_test 1/1 ... [2025-12-04 10:17:15.875167][4976.292225395], took 0.12min 2025-12-04T10:17:16.5859505Z Running cpp/native_test 1/1 ... [2025-12-04 10:17:16.585520][4977.002578508] 2025-12-04T10:17:16.5860242Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:17:16.5861918Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/native_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:17:16.585937] 2025-12-04T10:17:18.1681799Z Running cpp/operators_test 1/1 ... [2025-12-04 10:17:18.167640][4978.584697913] 2025-12-04T10:17:18.1682340Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:17:18.1683933Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/operators_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:17:18.168045] 2025-12-04T10:17:19.7857402Z 2025-12-04T10:17:19.7858413Z 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_fa8339c645673992_.log 2025-12-04T10:17:19.7859064Z 2025-12-04T10:17:19.7859362Z Finished cpp/legacy_vmap_test 1/1 ... [2025-12-04 10:17:19.785456][4980.20251482], took 0.16min 2025-12-04T10:17:22.3727152Z Running cpp/scalar_tensor_test 1/1 ... [2025-12-04 10:17:22.371842][4982.78890157] 2025-12-04T10:17:22.3727647Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:17:22.3728634Z 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 10:17:22.372258] 2025-12-04T10:17:23.7153607Z 2025-12-04T10:17:23.7154567Z cpp/native_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.native_test_1.1_4708b59b3091c4f4_.log 2025-12-04T10:17:23.7155215Z 2025-12-04T10:17:25.4980599Z Finished cpp/native_test 1/1 ... [2025-12-04 10:17:23.714962][4984.132020454], took 0.12min 2025-12-04T10:17:25.4981039Z 2025-12-04T10:17:25.4981579Z cpp/operators_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.operators_test_1.1_d4cee61f661ea4e8_.log 2025-12-04T10:17:25.4982190Z 2025-12-04T10:17:25.4982885Z Finished cpp/operators_test 1/1 ... [2025-12-04 10:17:25.497805][4985.914864292], took 0.12min 2025-12-04T10:17:26.5587400Z Running cpp/scalar_test 1/1 ... [2025-12-04 10:17:26.558164][4986.975222345] 2025-12-04T10:17:26.5587970Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:17:26.5588859Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/scalar_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:17:26.558680] 2025-12-04T10:17:28.3033569Z Running cpp/tensor_iterator_test 1/1 ... [2025-12-04 10:17:28.302901][4988.719956799] 2025-12-04T10:17:28.3034452Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:17:28.3035178Z 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 10:17:28.303353] 2025-12-04T10:17:28.9015515Z 2025-12-04T10:17:28.9016488Z 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_3c31f06eedc2d38b_.log 2025-12-04T10:17:28.9017155Z 2025-12-04T10:17:28.9017486Z Finished cpp/scalar_tensor_test 1/1 ... [2025-12-04 10:17:28.901175][4989.318233235], took 0.11min 2025-12-04T10:17:31.3903617Z Running cpp/undefined_tensor_test 1/1 ... [2025-12-04 10:17:31.389832][4991.806890356] 2025-12-04T10:17:31.3904192Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:17:31.3905423Z 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 10:17:31.390270] 2025-12-04T10:17:33.6425831Z 2025-12-04T10:17:33.6426873Z cpp/scalar_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.scalar_test_1.1_884a11d91b840006_.log 2025-12-04T10:17:33.6428035Z 2025-12-04T10:17:33.6428834Z Finished cpp/scalar_test 1/1 ... [2025-12-04 10:17:33.642668][4994.059723638], took 0.12min 2025-12-04T10:17:36.7528978Z Running cpp/wrapdim_test 1/1 ... [2025-12-04 10:17:36.752419][4997.169477914] 2025-12-04T10:17:36.7530031Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:17:36.7531123Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/wrapdim_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:17:36.752751] 2025-12-04T10:17:38.3717042Z 2025-12-04T10:17:38.3718091Z 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_2521c4d6bfbeb4a5_.log 2025-12-04T10:17:38.3718818Z 2025-12-04T10:17:38.3719138Z Finished cpp/undefined_tensor_test 1/1 ... [2025-12-04 10:17:38.371165][4998.788223857], took 0.12min 2025-12-04T10:17:41.6460923Z 2025-12-04T10:17:41.6461972Z 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_43647701efef8c5b_.log 2025-12-04T10:17:41.6462615Z 2025-12-04T10:17:41.6464717Z Finished cpp/tensor_iterator_test 1/1 ... [2025-12-04 10:17:41.645964][5002.063020942], took 0.22min 2025-12-04T10:17:43.4819616Z 2025-12-04T10:17:43.4820535Z cpp/wrapdim_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.wrapdim_test_1.1_698167c770f0a423_.log 2025-12-04T10:17:43.4820948Z 2025-12-04T10:17:43.4821409Z Finished cpp/wrapdim_test 1/1 ... [2025-12-04 10:17:43.481550][5003.898609863], took 0.11min 2025-12-04T10:17:44.4874077Z Running test batch 'tests to run' cost 166.08 seconds 2025-12-04T10:17:44.9674134Z + run_if_exists tensor_interop_test 2025-12-04T10:17:44.9674569Z + local test_name=tensor_interop_test 2025-12-04T10:17:44.9674834Z + [[ -x build/bin/tensor_interop_test ]] 2025-12-04T10:17:44.9675125Z + echo 'Warning: tensor_interop_test does not exist.' 2025-12-04T10:17:44.9675423Z Warning: tensor_interop_test does not exist. 2025-12-04T10:17:44.9675709Z + run_if_exists cudnn_test 2025-12-04T10:17:44.9675993Z + local test_name=cudnn_test 2025-12-04T10:17:44.9676279Z + [[ -x build/bin/cudnn_test ]] 2025-12-04T10:17:44.9676550Z + echo 'Warning: cudnn_test does not exist.' 2025-12-04T10:17:44.9676804Z Warning: cudnn_test does not exist. 2025-12-04T10:17:44.9677361Z + run_if_exists cuda_generator_test 2025-12-04T10:17:44.9677653Z + local test_name=cuda_generator_test 2025-12-04T10:17:44.9677882Z + [[ -x build/bin/cuda_generator_test ]] 2025-12-04T10:17:44.9678171Z + echo 'Warning: cuda_generator_test does not exist.' 2025-12-04T10:17:44.9678452Z Warning: cuda_generator_test does not exist. 2025-12-04T10:17:44.9678700Z + run_if_exists apply_test 2025-12-04T10:17:44.9678980Z + local test_name=apply_test 2025-12-04T10:17:44.9679198Z + [[ -x build/bin/apply_test ]] 2025-12-04T10:17:44.9679429Z + echo 'Warning: apply_test does not exist.' 2025-12-04T10:17:44.9679686Z Warning: apply_test does not exist. 2025-12-04T10:17:44.9679908Z + run_if_exists stream_test 2025-12-04T10:17:44.9680136Z + local test_name=stream_test 2025-12-04T10:17:44.9680346Z + [[ -x build/bin/stream_test ]] 2025-12-04T10:17:44.9680547Z + echo 'Warning: stream_test does not exist.' 2025-12-04T10:17:44.9680782Z Warning: stream_test does not exist. 2025-12-04T10:17:44.9680987Z + run_if_exists cuda_half_test 2025-12-04T10:17:44.9681276Z + local test_name=cuda_half_test 2025-12-04T10:17:44.9681462Z + [[ -x build/bin/cuda_half_test ]] 2025-12-04T10:17:44.9681696Z + echo 'Warning: cuda_half_test does not exist.' 2025-12-04T10:17:44.9681939Z Warning: cuda_half_test does not exist. 2025-12-04T10:17:44.9682144Z + run_if_exists cuda_vectorized_test 2025-12-04T10:17:44.9682364Z + local test_name=cuda_vectorized_test 2025-12-04T10:17:44.9682578Z + [[ -x build/bin/cuda_vectorized_test ]] 2025-12-04T10:17:44.9682809Z + echo 'Warning: cuda_vectorized_test does not exist.' 2025-12-04T10:17:44.9683069Z Warning: cuda_vectorized_test does not exist. 2025-12-04T10:17:44.9683310Z + run_if_exists cuda_distributions_test 2025-12-04T10:17:44.9683532Z + local test_name=cuda_distributions_test 2025-12-04T10:17:44.9683772Z + [[ -x build/bin/cuda_distributions_test ]] 2025-12-04T10:17:44.9684034Z + echo 'Warning: cuda_distributions_test does not exist.' 2025-12-04T10:17:44.9684302Z Warning: cuda_distributions_test does not exist. 2025-12-04T10:17:44.9684527Z + run_if_exists cuda_optional_test 2025-12-04T10:17:44.9684733Z + local test_name=cuda_optional_test 2025-12-04T10:17:44.9684954Z + [[ -x build/bin/cuda_optional_test ]] 2025-12-04T10:17:44.9685179Z + echo 'Warning: cuda_optional_test does not exist.' 2025-12-04T10:17:44.9685416Z Warning: cuda_optional_test does not exist. 2025-12-04T10:17:44.9685651Z + run_if_exists cuda_tensor_interop_test 2025-12-04T10:17:44.9685873Z + local test_name=cuda_tensor_interop_test 2025-12-04T10:17:44.9686095Z + [[ -x build/bin/cuda_tensor_interop_test ]] 2025-12-04T10:17:44.9686334Z + echo 'Warning: cuda_tensor_interop_test does not exist.' 2025-12-04T10:17:44.9686584Z Warning: cuda_tensor_interop_test does not exist. 2025-12-04T10:17:44.9686795Z + run_if_exists cuda_complex_test 2025-12-04T10:17:44.9686989Z + local test_name=cuda_complex_test 2025-12-04T10:17:44.9687188Z + [[ -x build/bin/cuda_complex_test ]] 2025-12-04T10:17:44.9687400Z + echo 'Warning: cuda_complex_test does not exist.' 2025-12-04T10:17:44.9687628Z Warning: cuda_complex_test does not exist. 2025-12-04T10:17:44.9687840Z + run_if_exists cuda_complex_math_test 2025-12-04T10:17:44.9688035Z + local test_name=cuda_complex_math_test 2025-12-04T10:17:44.9688298Z + [[ -x build/bin/cuda_complex_math_test ]] 2025-12-04T10:17:44.9688547Z + echo 'Warning: cuda_complex_math_test does not exist.' 2025-12-04T10:17:44.9688791Z Warning: cuda_complex_math_test does not exist. 2025-12-04T10:17:44.9689010Z + run_if_exists cuda_cub_test 2025-12-04T10:17:44.9689199Z + local test_name=cuda_cub_test 2025-12-04T10:17:44.9689393Z + [[ -x build/bin/cuda_cub_test ]] 2025-12-04T10:17:44.9689599Z + echo 'Warning: cuda_cub_test does not exist.' 2025-12-04T10:17:44.9689825Z Warning: cuda_cub_test does not exist. 2025-12-04T10:17:44.9690033Z + run_if_exists cuda_atomic_ops_test 2025-12-04T10:17:44.9690234Z + local test_name=cuda_atomic_ops_test 2025-12-04T10:17:44.9690442Z + [[ -x build/bin/cuda_atomic_ops_test ]] 2025-12-04T10:17:44.9690709Z + echo 'Warning: cuda_atomic_ops_test does not exist.' 2025-12-04T10:17:44.9690944Z Warning: cuda_atomic_ops_test does not exist. 2025-12-04T10:17:44.9691156Z + run_if_exists cuda_allocator_test 2025-12-04T10:17:44.9691357Z + local test_name=cuda_allocator_test 2025-12-04T10:17:44.9691559Z + [[ -x build/bin/cuda_allocator_test ]] 2025-12-04T10:17:44.9691793Z + echo 'Warning: cuda_allocator_test does not exist.' 2025-12-04T10:17:44.9692068Z Warning: cuda_allocator_test does not exist. 2025-12-04T10:17:44.9692288Z + '[' ON == ON ']' 2025-12-04T10:17:44.9692730Z + valgrind --suppressions=/var/lib/jenkins/workspace/aten/tools/valgrind.sup --error-exitcode=1 build/bin/basic '--gtest_filter=-*CUDA' 2025-12-04T10:17:44.9935034Z ==8484== Memcheck, a memory error detector 2025-12-04T10:17:44.9935494Z ==8484== Copyright (C) 2002-2022, and GNU GPL'd, by Julian Seward et al. 2025-12-04T10:17:44.9935883Z ==8484== Using Valgrind-3.20.0 and LibVEX; rerun with -h for copyright info 2025-12-04T10:17:44.9936218Z ==8484== Command: build/bin/basic --gtest_filter=-*CUDA 2025-12-04T10:17:44.9936680Z ==8484== 2025-12-04T10:17:45.4275903Z ==8484== Warning: set address range perms: large range [0x4a4c000, 0x19cdb000) (defined) 2025-12-04T10:17:45.4276452Z ==8484== Warning: set address range perms: large range [0x5d2d000, 0x16d2d000) (defined) 2025-12-04T10:18:03.8088144Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc 2025-12-04T10:18:03.8317471Z Note: Google Test filter = -*CUDA 2025-12-04T10:18:03.8353113Z [==========] Running 6 tests from 1 test suite. 2025-12-04T10:18:03.8369630Z [----------] Global test environment set-up. 2025-12-04T10:18:03.8425897Z [----------] 6 tests from BasicTest 2025-12-04T10:18:03.8446219Z [ RUN ] BasicTest.BasicTestCPU 2025-12-04T10:18:04.8002733Z 270 ms 2025-12-04T10:18:04.8646095Z 42 ms 2025-12-04T10:18:04.9186754Z 47 ms 2025-12-04T10:18:05.3680648Z [ OK ] BasicTest.BasicTestCPU (1522 ms) 2025-12-04T10:18:05.3686746Z [ RUN ] BasicTest.BasicTestHalfCPU 2025-12-04T10:18:05.4689713Z 64 ms 2025-12-04T10:18:05.5071008Z 34 ms 2025-12-04T10:18:05.5557620Z 47 ms 2025-12-04T10:18:05.5973948Z [ OK ] BasicTest.BasicTestHalfCPU (228 ms) 2025-12-04T10:18:05.5974616Z [ RUN ] BasicTest.FactoryMethodsTest 2025-12-04T10:18:05.6216153Z [ OK ] BasicTest.FactoryMethodsTest (24 ms) 2025-12-04T10:18:05.6216480Z [ RUN ] BasicTest.BasicStdTestCPU 2025-12-04T10:18:05.7272314Z Simple example: called once 2025-12-04T10:18:05.7593873Z throw: call_once will retry 2025-12-04T10:18:05.7605636Z Didn't throw, call_once will not attempt again 2025-12-04T10:18:05.7618142Z [ OK ] BasicTest.BasicStdTestCPU (140 ms) 2025-12-04T10:18:05.7618433Z [ RUN ] BasicTest.TestForBlobResizeCPU 2025-12-04T10:18:05.7758165Z [ OK ] BasicTest.TestForBlobResizeCPU (13 ms) 2025-12-04T10:18:05.7758469Z [ RUN ] BasicTest.TestForBlobStridesResizeCPU 2025-12-04T10:18:05.7779989Z [ OK ] BasicTest.TestForBlobStridesResizeCPU (2 ms) 2025-12-04T10:18:05.7791883Z [----------] 6 tests from BasicTest (1933 ms total) 2025-12-04T10:18:05.7792083Z 2025-12-04T10:18:05.7799940Z [----------] Global test environment tear-down 2025-12-04T10:18:05.7823381Z [==========] 6 tests from 1 test suite ran. (1954 ms total) 2025-12-04T10:18:05.7832260Z [ PASSED ] 6 tests. 2025-12-04T10:18:07.1971599Z ==8484== 2025-12-04T10:18:07.1975769Z ==8484== HEAP SUMMARY: 2025-12-04T10:18:07.1976170Z ==8484== in use at exit: 430,867 bytes in 6,419 blocks 2025-12-04T10:18:07.1976539Z ==8484== total heap usage: 652,075 allocs, 645,656 frees, 198,309,941 bytes allocated 2025-12-04T10:18:07.1976842Z ==8484== 2025-12-04T10:18:07.2213152Z ==8484== LEAK SUMMARY: 2025-12-04T10:18:07.2213412Z ==8484== definitely lost: 0 bytes in 0 blocks 2025-12-04T10:18:07.2213678Z ==8484== indirectly lost: 0 bytes in 0 blocks 2025-12-04T10:18:07.2213914Z ==8484== possibly lost: 69,920 bytes in 2 blocks 2025-12-04T10:18:07.2214170Z ==8484== still reachable: 360,947 bytes in 6,417 blocks 2025-12-04T10:18:07.2214610Z ==8484== suppressed: 0 bytes in 0 blocks 2025-12-04T10:18:07.2214908Z ==8484== Rerun with --leak-check=full to see details of leaked memory 2025-12-04T10:18:07.2215165Z ==8484== 2025-12-04T10:18:07.2215393Z ==8484== For lists of detected and suppressed errors, rerun with: -s 2025-12-04T10:18:07.2215718Z ==8484== ERROR SUMMARY: 0 errors from 0 contexts (suppressed: 0 from 0) 2025-12-04T10:18:07.2569064Z + [[ -x build/bin/tensor_interop_test ]] 2025-12-04T10:18:07.2573183Z + [[ -n '' ]] 2025-12-04T10:18:07.2573448Z + assert_git_not_dirty 2025-12-04T10:18:07.2573697Z + [[ linux-jammy-py3.13-clang12 != *rocm* ]] 2025-12-04T10:18:07.2573964Z + [[ linux-jammy-py3.13-clang12 != *xla* ]] 2025-12-04T10:18:07.2578657Z ++ git status --porcelain 2025-12-04T10:18:07.2578878Z ++ grep -v '?? third_party' 2025-12-04T10:18:07.4841379Z ++ true 2025-12-04T10:18:07.4841636Z + git_status= 2025-12-04T10:18:07.4841824Z + [[ -n '' ]] 2025-12-04T10:18:07.4893054Z + sccache_epilogue 2025-12-04T10:18:07.4893437Z + echo '::group::Sccache Compilation Log' 2025-12-04T10:18:07.4894266Z ##[group]Sccache Compilation Log 2025-12-04T10:18:07.4894514Z + echo '=================== sccache compilation log ===================' 2025-12-04T10:18:07.4894831Z =================== sccache compilation log =================== 2025-12-04T10:18:07.4895275Z + python /var/lib/jenkins/workspace/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log 2025-12-04T10:18:07.5011129Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ===========' 2025-12-04T10:18:07.5011666Z =========== If your build fails, please take a look at the log above for possible reasons =========== 2025-12-04T10:18:07.5011973Z + sccache --show-stats 2025-12-04T10:18:07.5045427Z Compile requests 122 2025-12-04T10:18:07.5045726Z Compile requests executed 49 2025-12-04T10:18:07.5046002Z Cache hits 12 2025-12-04T10:18:07.5046185Z Cache hits (C/C++) 12 2025-12-04T10:18:07.5046393Z Cache misses 37 2025-12-04T10:18:07.5046579Z Cache misses (C/C++) 37 2025-12-04T10:18:07.5046763Z Cache hits rate 24.49 % 2025-12-04T10:18:07.5046965Z Cache hits rate (C/C++) 24.49 % 2025-12-04T10:18:07.5047158Z Cache timeouts 0 2025-12-04T10:18:07.5047342Z Cache read errors 0 2025-12-04T10:18:07.5047538Z Forced recaches 0 2025-12-04T10:18:07.5047726Z Cache write errors 0 2025-12-04T10:18:07.5047905Z Cache errors 0 2025-12-04T10:18:07.5048093Z Compilations 37 2025-12-04T10:18:07.5048285Z Compilation failures 0 2025-12-04T10:18:07.5048483Z Non-cacheable compilations 0 2025-12-04T10:18:07.5048681Z Non-cacheable calls 1 2025-12-04T10:18:07.5048934Z Non-compilation calls 72 2025-12-04T10:18:07.5049128Z Unsupported compiler calls 0 2025-12-04T10:18:07.5049317Z Average cache write 0.045 s 2025-12-04T10:18:07.5049512Z Average compiler 9.064 s 2025-12-04T10:18:07.5049844Z Average cache read hit 0.105 s 2025-12-04T10:18:07.5050041Z Failed distributed compilations 0 2025-12-04T10:18:07.5050177Z 2025-12-04T10:18:07.5050246Z Non-cacheable reasons: 2025-12-04T10:18:07.5050425Z -E 1 2025-12-04T10:18:07.5050547Z 2025-12-04T10:18:07.5050706Z Cache location s3, name: ossci-compiler-cache-circleci-v2, prefix: / 2025-12-04T10:18:07.5050983Z Version (client) 0.10.0 2025-12-04T10:18:07.5051487Z + sccache --stop-server 2025-12-04T10:18:07.5061967Z Stopping sccache server... 2025-12-04T10:18:07.5067067Z Compile requests 122 2025-12-04T10:18:07.5067446Z Compile requests executed 49 2025-12-04T10:18:07.5067756Z Cache hits 12 2025-12-04T10:18:07.5068242Z Cache hits (C/C++) 12 2025-12-04T10:18:07.5068455Z Cache misses 37 2025-12-04T10:18:07.5068662Z Cache misses (C/C++) 37 2025-12-04T10:18:07.5068947Z Cache hits rate 24.49 % 2025-12-04T10:18:07.5069214Z Cache hits rate (C/C++) 24.49 % 2025-12-04T10:18:07.5069485Z Cache timeouts 0 2025-12-04T10:18:07.5069802Z Cache read errors 0 2025-12-04T10:18:07.5070037Z Forced recaches 0 2025-12-04T10:18:07.5070300Z Cache write errors 0 2025-12-04T10:18:07.5070546Z Cache errors 0 2025-12-04T10:18:07.5070732Z Compilations 37 2025-12-04T10:18:07.5070933Z Compilation failures 0 2025-12-04T10:18:07.5071272Z Non-cacheable compilations 0 2025-12-04T10:18:07.5071479Z Non-cacheable calls 1 2025-12-04T10:18:07.5071674Z Non-compilation calls 72 2025-12-04T10:18:07.5071883Z Unsupported compiler calls 0 2025-12-04T10:18:07.5072144Z Average cache write 0.045 s 2025-12-04T10:18:07.5072340Z Average compiler 9.064 s 2025-12-04T10:18:07.5072546Z Average cache read hit 0.105 s 2025-12-04T10:18:07.5072747Z Failed distributed compilations 0 2025-12-04T10:18:07.5072876Z 2025-12-04T10:18:07.5072972Z Non-cacheable reasons: 2025-12-04T10:18:07.5073146Z -E 1 2025-12-04T10:18:07.5073275Z 2025-12-04T10:18:07.5073426Z Cache location s3, name: ossci-compiler-cache-circleci-v2, prefix: / 2025-12-04T10:18:07.5073710Z Version (client) 0.10.0 2025-12-04T10:18:07.5073905Z + echo ::endgroup:: 2025-12-04T10:18:07.5074227Z ##[endgroup] 2025-12-04T10:18:07.5074384Z + cleanup_workspace 2025-12-04T10:18:07.5074690Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.' 2025-12-04T10:18:07.5075124Z sudo may print the following warning message that can be ignored. The chown command will still run. 2025-12-04T10:18:07.5075486Z + echo ' sudo: setrlimit(RLIMIT_STACK): Operation not permitted' 2025-12-04T10:18:07.5075765Z sudo: setrlimit(RLIMIT_STACK): Operation not permitted 2025-12-04T10:18:07.5076105Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42' 2025-12-04T10:18:07.5076444Z For more details refer to https://github.com/sudo-project/sudo/issues/42 2025-12-04T10:18:07.5076728Z + sudo chown -R 1000 /var/lib/jenkins/workspace 2025-12-04T10:18:10.7738189Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main 2025-12-04T10:18:10.7738550Z with: 2025-12-04T10:18:10.7738759Z benchmark-results-dir: test/test-reports 2025-12-04T10:18:10.7738996Z dry-run: false 2025-12-04T10:18:10.7739184Z schema-version: v3 2025-12-04T10:18:10.7739597Z github-token: *** 2025-12-04T10:18:10.7739779Z env: 2025-12-04T10:18:10.7739943Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:18:10.7740151Z HAS_NVIDIA_GPU: false 2025-12-04T10:18:10.7740491Z DOCKER_CONTAINER_ID: db2995d426dd902994aff11f152811d23dcaf66195cdba426171bd026d66ce23 2025-12-04T10:18:10.7740845Z ##[endgroup] 2025-12-04T10:18:10.7760456Z ##[group]Run set -eux 2025-12-04T10:18:10.7760651Z set -eux 2025-12-04T10:18:10.7760798Z  2025-12-04T10:18:10.7760939Z if [[ -n "" ]]; then 2025-12-04T10:18:10.7761132Z  source "" 2025-12-04T10:18:10.7761285Z fi 2025-12-04T10:18:10.7761533Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-12-04T10:18:10.7761775Z  2025-12-04T10:18:10.7761913Z DEVICE_NAME="" 2025-12-04T10:18:10.7762075Z DEVICE_TYPE="" 2025-12-04T10:18:10.7762226Z  2025-12-04T10:18:10.7762369Z if command -v nvidia-smi; then 2025-12-04T10:18:10.7762635Z  # NB: I'm using PyTorch here to get the device name, however, it needs to 2025-12-04T10:18:10.7762961Z  # install the correct version of PyTorch manually for now. Any PyTorch 2025-12-04T10:18:10.7763266Z  # version is fine, I just use 2.7.1 to satify PYPIDEP linter 2025-12-04T10:18:10.7763518Z  python3 -mpip install torch==2.7.1 2025-12-04T10:18:10.7763724Z elif command -v rocminfo; then 2025-12-04T10:18:10.7763981Z  # NB: Installing torch on ROCm runner with pip here causes CI to fail 2025-12-04T10:18:10.7764362Z  # with a memoryview is too large error only on MI300 runners. Is pip 2025-12-04T10:18:10.7764681Z  # version on ROCm runner there too old? As a workaround, let's use the 2025-12-04T10:18:10.7764961Z  # GPU device name coming from rocminfo instead 2025-12-04T10:18:10.7765170Z  DEVICE_NAME=rocm 2025-12-04T10:18:10.7765455Z  DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs) 2025-12-04T10:18:10.7765736Z fi 2025-12-04T10:18:10.7765873Z  2025-12-04T10:18:10.7766039Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV 2025-12-04T10:18:10.7766347Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-12-04T10:18:10.8011157Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:18:10.8011403Z env: 2025-12-04T10:18:10.8011569Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:18:10.8011751Z HAS_NVIDIA_GPU: false 2025-12-04T10:18:10.8012063Z DOCKER_CONTAINER_ID: db2995d426dd902994aff11f152811d23dcaf66195cdba426171bd026d66ce23 2025-12-04T10:18:10.8012399Z ##[endgroup] 2025-12-04T10:18:10.8053634Z + [[ -n '' ]] 2025-12-04T10:18:10.8053930Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-12-04T10:18:11.3204669Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T10:18:12.1030584Z Collecting boto3==1.35.33 2025-12-04T10:18:12.1176284Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-12-04T10:18:12.3446393Z Collecting psutil==7.0.0 2025-12-04T10:18:12.3503169Z 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) 2025-12-04T10:18:12.3729146Z Collecting pynvml==12.0.0 2025-12-04T10:18:12.3760205Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-12-04T10:18:12.4120732Z Collecting s3transfer<0.11.0,>=0.10.0 2025-12-04T10:18:12.4155867Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-12-04T10:18:12.4211589Z 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) 2025-12-04T10:18:13.2281563Z Collecting botocore<1.36.0,>=1.35.33 2025-12-04T10:18:13.2312864Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-12-04T10:18:13.3497390Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-12-04T10:18:13.3527481Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-12-04T10:18:13.3593843Z 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) 2025-12-04T10:18:13.3601599Z 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) 2025-12-04T10:18:13.4683036Z 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) 2025-12-04T10:18:13.5759863Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3 2025-12-04T10:18:13.9136647Z Attempting uninstall: nvidia-ml-py 2025-12-04T10:18:13.9140772Z Found existing installation: nvidia-ml-py 11.525.84 2025-12-04T10:18:13.9152724Z Uninstalling nvidia-ml-py-11.525.84: 2025-12-04T10:18:13.9425767Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-12-04T10:18:13.9870733Z Attempting uninstall: psutil 2025-12-04T10:18:13.9874555Z Found existing installation: psutil 5.9.8 2025-12-04T10:18:13.9921769Z Uninstalling psutil-5.9.8: 2025-12-04T10:18:13.9930038Z Successfully uninstalled psutil-5.9.8 2025-12-04T10:18:14.1203654Z 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 2025-12-04T10:18:14.2204387Z + DEVICE_NAME= 2025-12-04T10:18:14.2204657Z + DEVICE_TYPE= 2025-12-04T10:18:14.2204862Z + command -v nvidia-smi 2025-12-04T10:18:14.2205354Z + command -v rocminfo 2025-12-04T10:18:14.2205576Z + echo DEVICE_NAME= 2025-12-04T10:18:14.2205727Z + echo DEVICE_TYPE= 2025-12-04T10:18:14.2249063Z ##[group]Run set -eux 2025-12-04T10:18:14.2249347Z set -eux 2025-12-04T10:18:14.2249562Z  2025-12-04T10:18:14.2249802Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-12-04T10:18:14.2250140Z  echo "Missing github-token input" 2025-12-04T10:18:14.2250448Z  exit 1 2025-12-04T10:18:14.2250659Z fi 2025-12-04T10:18:14.2260424Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:18:14.2260683Z env: 2025-12-04T10:18:14.2260984Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:18:14.2261172Z HAS_NVIDIA_GPU: false 2025-12-04T10:18:14.2261478Z DOCKER_CONTAINER_ID: db2995d426dd902994aff11f152811d23dcaf66195cdba426171bd026d66ce23 2025-12-04T10:18:14.2261792Z DEVICE_NAME: 2025-12-04T10:18:14.2261958Z DEVICE_TYPE: 2025-12-04T10:18:14.2262326Z GITHUB_TOKEN: *** 2025-12-04T10:18:14.2262495Z ##[endgroup] 2025-12-04T10:18:14.2284217Z + [[ -z *** ]] 2025-12-04T10:18:14.2330010Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-12-04T10:18:14.2330298Z with: 2025-12-04T10:18:14.2330600Z github-token: *** 2025-12-04T10:18:14.2330772Z env: 2025-12-04T10:18:14.2330932Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:18:14.2331121Z HAS_NVIDIA_GPU: false 2025-12-04T10:18:14.2331436Z DOCKER_CONTAINER_ID: db2995d426dd902994aff11f152811d23dcaf66195cdba426171bd026d66ce23 2025-12-04T10:18:14.2331819Z DEVICE_NAME: 2025-12-04T10:18:14.2332006Z DEVICE_TYPE: 2025-12-04T10:18:14.2332203Z ##[endgroup] 2025-12-04T10:18:14.2342624Z ##[group]Run set -eux 2025-12-04T10:18:14.2342826Z set -eux 2025-12-04T10:18:14.2343001Z  2025-12-04T10:18:14.2343322Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-12-04T10:18:14.2347814Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:18:14.2348088Z env: 2025-12-04T10:18:14.2348263Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:18:14.2348457Z HAS_NVIDIA_GPU: false 2025-12-04T10:18:14.2348876Z DOCKER_CONTAINER_ID: db2995d426dd902994aff11f152811d23dcaf66195cdba426171bd026d66ce23 2025-12-04T10:18:14.2349205Z DEVICE_NAME: 2025-12-04T10:18:14.2349378Z DEVICE_TYPE: 2025-12-04T10:18:14.2349674Z GITHUB_TOKEN: *** 2025-12-04T10:18:14.2349852Z ##[endgroup] 2025-12-04T10:18:14.2370794Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 19922796517 i-0b030889d621e3811 2025-12-04T10:18:14.9240642Z setting job-id=57116440095 2025-12-04T10:18:14.9241025Z setting job-name=dynamo-test (3.13) / test (dynamo_wrapped, 1, 3, linux.c7i.2xlarge) 2025-12-04T10:18:14.9335178Z ##[group]Run set -eux 2025-12-04T10:18:14.9335379Z set -eux 2025-12-04T10:18:14.9335544Z  2025-12-04T10:18:14.9335693Z if [[ -n "" ]]; then 2025-12-04T10:18:14.9335890Z  source "" 2025-12-04T10:18:14.9336049Z fi 2025-12-04T10:18:14.9336187Z  2025-12-04T10:18:14.9336446Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-12-04T10:18:14.9336767Z  --schema-version "${SCHEMA_VERSION}" \ 2025-12-04T10:18:14.9336986Z  --repo "${REPO}" \ 2025-12-04T10:18:14.9337190Z  --head-branch "${HEAD_BRANCH}" \ 2025-12-04T10:18:14.9337401Z  --head-sha "${HEAD_SHA}" \ 2025-12-04T10:18:14.9337615Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-12-04T10:18:14.9337833Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-12-04T10:18:14.9338049Z  --job-id "${JOB_ID}" \ 2025-12-04T10:18:14.9338249Z  --job-name "${JOB_NAME}" 2025-12-04T10:18:14.9342659Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:18:14.9342899Z env: 2025-12-04T10:18:14.9343063Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:18:14.9343235Z HAS_NVIDIA_GPU: false 2025-12-04T10:18:14.9343611Z DOCKER_CONTAINER_ID: db2995d426dd902994aff11f152811d23dcaf66195cdba426171bd026d66ce23 2025-12-04T10:18:14.9343921Z DEVICE_NAME: 2025-12-04T10:18:14.9344078Z DEVICE_TYPE: 2025-12-04T10:18:14.9344238Z SCHEMA_VERSION: v3 2025-12-04T10:18:14.9344413Z REPO: pytorch/pytorch 2025-12-04T10:18:14.9344592Z HEAD_BRANCH: refs/heads/main 2025-12-04T10:18:14.9344807Z HEAD_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T10:18:14.9345202Z WORKFLOW_RUN_ID: 19922796517 2025-12-04T10:18:14.9345404Z RUN_ATTEMPT: 1 2025-12-04T10:18:14.9345574Z JOB_ID: 57116440095 2025-12-04T10:18:14.9345923Z JOB_NAME: dynamo-test (3.13) / test (dynamo_wrapped, 1, 3, linux.c7i.2xlarge) 2025-12-04T10:18:14.9346237Z ##[endgroup] 2025-12-04T10:18:14.9368488Z + [[ -n '' ]] 2025-12-04T10:18:14.9369621Z + 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 19922796517 --run-attempt 1 --job-id 57116440095 --job-name 'dynamo-test (3.13) / test (dynamo_wrapped, 1, 3, linux.c7i.2xlarge)' 2025-12-04T10:18:14.9618796Z ##[group]Run set -eux 2025-12-04T10:18:14.9618993Z set -eux 2025-12-04T10:18:14.9619145Z  2025-12-04T10:18:14.9619291Z if [[ -n "" ]]; then 2025-12-04T10:18:14.9619476Z  source "" 2025-12-04T10:18:14.9619635Z fi 2025-12-04T10:18:14.9619773Z  2025-12-04T10:18:14.9620018Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-12-04T10:18:14.9624213Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:18:14.9624453Z env: 2025-12-04T10:18:14.9624602Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:18:14.9624783Z HAS_NVIDIA_GPU: false 2025-12-04T10:18:14.9625217Z DOCKER_CONTAINER_ID: db2995d426dd902994aff11f152811d23dcaf66195cdba426171bd026d66ce23 2025-12-04T10:18:14.9625534Z DEVICE_NAME: 2025-12-04T10:18:14.9625695Z DEVICE_TYPE: 2025-12-04T10:18:14.9625977Z ##[endgroup] 2025-12-04T10:18:14.9648401Z + [[ -n '' ]] 2025-12-04T10:18:14.9652881Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-12-04T10:18:14.9966719Z INFO:root:Fail to import torch to get the device name 2025-12-04T10:18:15.0049671Z ##[group]Run set -eux 2025-12-04T10:18:15.0049859Z set -eux 2025-12-04T10:18:15.0050019Z  2025-12-04T10:18:15.0050206Z # TODO (huydhn): Implement this part 2025-12-04T10:18:15.0050448Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-12-04T10:18:15.0055212Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:18:15.0055456Z env: 2025-12-04T10:18:15.0055605Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:18:15.0055782Z HAS_NVIDIA_GPU: false 2025-12-04T10:18:15.0056081Z DOCKER_CONTAINER_ID: db2995d426dd902994aff11f152811d23dcaf66195cdba426171bd026d66ce23 2025-12-04T10:18:15.0056385Z DEVICE_NAME: 2025-12-04T10:18:15.0056538Z DEVICE_TYPE: 2025-12-04T10:18:15.0056690Z ##[endgroup] 2025-12-04T10:18:15.0076833Z + echo 'dependencies={}' 2025-12-04T10:18:15.0090821Z ##[group]Run set -eux 2025-12-04T10:18:15.0091022Z set -eux 2025-12-04T10:18:15.0091177Z  2025-12-04T10:18:15.0091334Z if [[ -n "" ]]; then 2025-12-04T10:18:15.0091511Z  source "" 2025-12-04T10:18:15.0091673Z fi 2025-12-04T10:18:15.0091824Z  2025-12-04T10:18:15.0092013Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-12-04T10:18:15.0092300Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-12-04T10:18:15.0092611Z  # We don't want the job to fail if the directory doesn't exist 2025-12-04T10:18:15.0092857Z  exit 0 2025-12-04T10:18:15.0093008Z fi 2025-12-04T10:18:15.0093228Z  2025-12-04T10:18:15.0093397Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-12-04T10:18:15.0093705Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-12-04T10:18:15.0094055Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-12-04T10:18:15.0094335Z  --metadata "${BENCHMARK_METADATA}" \ 2025-12-04T10:18:15.0094571Z  --runners "${RUNNER_INFO}" \ 2025-12-04T10:18:15.0094791Z  --dependencies "${DEPENDENCIES}" \ 2025-12-04T10:18:15.0095012Z  --dry-run 2025-12-04T10:18:15.0095254Z else 2025-12-04T10:18:15.0095493Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-12-04T10:18:15.0095843Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-12-04T10:18:15.0096100Z  --metadata "${BENCHMARK_METADATA}" \ 2025-12-04T10:18:15.0096318Z  --runners "${RUNNER_INFO}" \ 2025-12-04T10:18:15.0096528Z  --dependencies "${DEPENDENCIES}" 2025-12-04T10:18:15.0096729Z fi 2025-12-04T10:18:15.0100870Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:18:15.0101104Z env: 2025-12-04T10:18:15.0101260Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:18:15.0101439Z HAS_NVIDIA_GPU: false 2025-12-04T10:18:15.0101717Z DOCKER_CONTAINER_ID: db2995d426dd902994aff11f152811d23dcaf66195cdba426171bd026d66ce23 2025-12-04T10:18:15.0102023Z DEVICE_NAME: 2025-12-04T10:18:15.0102176Z DEVICE_TYPE: 2025-12-04T10:18:15.0102342Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-12-04T10:18:15.0102543Z DRY_RUN: false 2025-12-04T10:18:15.0103252Z BENCHMARK_METADATA: {"timestamp": 1764843494, "schema_version": "v3", "name": "dynamo-test (3.13) / test (dynamo_wrapped, 1, 3, linux.c7i.2xlarge)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32", "workflow_id": 19922796517, "run_attempt": 1, "job_id": 57116440095} 2025-12-04T10:18:15.0104237Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 8, "avail_mem_in_gb": 15, "extra_info": {"hostname": "ip-10-0-78-85.ec2.internal"}, "name": "", "type": ""}] 2025-12-04T10:18:15.0104612Z DEPENDENCIES: {} 2025-12-04T10:18:15.0104780Z ##[endgroup] 2025-12-04T10:18:15.0123260Z + [[ -n '' ]] 2025-12-04T10:18:15.0123448Z + [[ ! -d test/test-reports ]] 2025-12-04T10:18:15.0123648Z + [[ false == \t\r\u\e ]] 2025-12-04T10:18:15.0125173Z + 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": 1764843494, "schema_version": "v3", "name": "dynamo-test (3.13) / test (dynamo_wrapped, 1, 3, linux.c7i.2xlarge)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32", "workflow_id": 19922796517, "run_attempt": 1, "job_id": 57116440095}' --runners '[{"cpu_info": "x86_64", "cpu_count": 8, "avail_mem_in_gb": 15, "extra_info": {"hostname": "ip-10-0-78-85.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}' 2025-12-04T10:18:15.1870773Z /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': 'backends/xeon/test_launch'}, {'test_file': 'benchmark_utils/test_benchmark_utils'}, {'test_file': 'complex_tensor/test_complex_tensor'}, {'test_file': 'cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility'}, {'test_file': 'cpp_extensions/python_agnostic_extension/test/test_python_agnostic'}, {'test_file': 'cpp_extensions/test_libtorch_agnostic'}, {'test_file': 'distributions/test_constraints'}, {'test_file': 'distributions/test_distributions'}, {'test_file': 'doctests'}, {'test_file': 'dynamo/cpython/3_13/test_baseexception'}, {'test_file': 'dynamo/cpython/3_13/test_bool'}, {'test_file': 'dynamo/cpython/3_13/test_cmath'}, {'test_file': 'dynamo/cpython/3_13/test_collections'}, {'test_file': 'dynamo/cpython/3_13/test_complex'}, {'test_file': 'dynamo/cpython/3_13/test_contextlib'}, {'test_file': 'dynamo/cpython/3_13/test_defaultdict'}, {'test_file': 'dynamo/cpython/3_13/test_dict'}, {'test_file': 'dynamo/cpython/3_13/test_exception_variations'}, {'test_file': 'dynamo/cpython/3_13/test_exceptions'}, {'test_file': 'dynamo/cpython/3_13/test_float'}, {'test_file': 'dynamo/cpython/3_13/test_generator_stop'}, {'test_file': 'dynamo/cpython/3_13/test_generators'}, {'test_file': 'dynamo/cpython/3_13/test_heapq'}, {'test_file': 'dynamo/cpython/3_13/test_int'}, {'test_file': 'dynamo/cpython/3_13/test_int_literal'}, {'test_file': 'dynamo/cpython/3_13/test_iter'}, {'test_file': 'dynamo/cpython/3_13/test_itertools'}, {'test_file': 'dynamo/cpython/3_13/test_list'}, {'test_file': 'dynamo/cpython/3_13/test_math'}, {'test_file': 'dynamo/cpython/3_13/test_numeric_tower'}, {'test_file': 'dynamo/cpython/3_13/test_operator'}, {'test_file': 'dynamo/cpython/3_13/test_ordered_dict'}, {'test_file': 'dynamo/cpython/3_13/test_raise'}, {'test_file': 'dynamo/cpython/3_13/test_range'}, {'test_file': 'dynamo/cpython/3_13/test_set'}, {'test_file': 'dynamo/cpython/3_13/test_sort'}, {'test_file': 'dynamo/cpython/3_13/test_sys'}, {'test_file': 'dynamo/cpython/3_13/test_tuple'}, {'test_file': 'dynamo/cpython/3_13/test_unittest/test_assertions'}, {'test_file': 'dynamo/cpython/3_13/test_userdict'}, {'test_file': 'dynamo/cpython/3_13/test_userlist'}, {'test_file': 'dynamo/cpython/3_13/test_with'}, {'test_file': 'dynamo/test_activation_checkpointing'}, {'test_file': 'dynamo/test_after_aot'}, {'test_file': 'dynamo/test_aot_autograd'}, {'test_file': 'dynamo/test_aot_autograd_cache'}, {'test_file': 'dynamo/test_aot_compile'}, {'test_file': 'dynamo/test_autograd_function'}, {'test_file': 'dynamo/test_backends'}, {'test_file': 'dynamo/test_backward_higher_order_ops'}, {'test_file': 'dynamo/test_base_hop'}, {'test_file': 'dynamo/test_base_output'}, {'test_file': 'dynamo/test_buffers_override'}, {'test_file': 'dynamo/test_bytecode_utils'}, {'test_file': 'dynamo/test_callback'}, {'test_file': 'dynamo/test_compile'}, {'test_file': 'dynamo/test_compiler_bisector'}, {'test_file': 'dynamo/test_comptime'}, {'test_file': 'dynamo/test_config'}, {'test_file': 'dynamo/test_ctx_manager'}, {'test_file': 'dynamo/test_cudagraphs'}, {'test_file': 'dynamo/test_cudagraphs_expandable_segments'}, {'test_file': 'dynamo/test_debug_utils'}, {'test_file': 'dynamo/test_decorators'}, {'test_file': 'dynamo/test_deque_reconstruct'}, {'test_file': 'dynamo/test_deviceguard'}, {'test_file': 'dynamo/test_dicts'}, {'test_file': 'dynamo/test_dynamic_shapes'}, {'test_file': 'dynamo/test_einops'}, {'test_file': 'dynamo/test_error_messages'}, {'test_file': 'dynamo/test_exc'}, {'test_file': 'dynamo/test_exceptions'}, {'test_file': 'dynamo/test_export'}, {'test_file': 'dynamo/test_export_mutations'}, {'test_file': 'dynamo/test_fake_distributed'}, {'test_file': 'dynamo/test_flat_apply'}, {'test_file': 'dynamo/test_frame_init'}, {'test_file': 'dynamo/test_functions'}, {'test_file': 'dynamo/test_fx_annotate'}, {'test_file': 'dynamo/test_fx_graph_runnable'}, {'test_file': 'dynamo/test_fx_passes_pre_grad'}, {'test_file': 'dynamo/test_generator'}, {'test_file': 'dynamo/test_global'}, {'test_file': 'dynamo/test_graph_deduplication'}, {'test_file': 'dynamo/test_graph_region_tracker'}, {'test_file': 'dynamo/test_guard_manager'}, {'test_file': 'dynamo/test_guard_serialization'}, {'test_file': 'dynamo/test_higher_order_ops'}, {'test_file': 'dynamo/test_hooks'}, {'test_file': 'dynamo/test_inline_and_install'}, {'test_file': 'dynamo/test_input_attr_tracking'}, {'test_file': 'dynamo/test_install_free_tensors'}, {'test_file': 'dynamo/test_interop'}, {'test_file': 'dynamo/test_list'}, {'test_file': 'dynamo/test_logging'}, {'test_file': 'dynamo/test_metrics_context'}, {'test_file': 'dynamo/test_minifier'}, {'test_file': 'dynamo/test_misc'}, {'test_file': 'dynamo/test_model_output'}, {'test_file': 'dynamo/test_modes'}, {'test_file': 'dynamo/test_modules'}, {'test_file': 'dynamo/test_nested_graph_breaks'}, {'test_file': 'dynamo/test_nops'}, {'test_file': 'dynamo/test_optimizers'}, {'test_file': 'dynamo/test_package'}, {'test_file': 'dynamo/test_pgo'}, {'test_file': 'dynamo/test_pre_dispatch'}, {'test_file': 'dynamo/test_precompile_context'}, {'test_file': 'dynamo/test_profiler'}, {'test_file': 'dynamo/test_python_autograd'}, {'test_file': 'dynamo/test_python_dispatcher'}, {'test_file': 'dynamo/test_recompile_ux'}, {'test_file': 'dynamo/test_recompiles'}, {'test_file': 'dynamo/test_reconstruct'}, {'test_file': 'dynamo/test_regional_inductor'}, {'test_file': 'dynamo/test_reorder_logs'}, {'test_file': 'dynamo/test_repros'}, {'test_file': 'dynamo/test_resume'}, {'test_file': 'dynamo/test_sdpa'}, {'test_file': 'dynamo/test_sets'}, {'test_file': 'dynamo/test_skip_guard_eval_unsafe'}, {'test_file': 'dynamo/test_skip_non_tensor'}, {'test_file': 'dynamo/test_sources'}, {'test_file': 'dynamo/test_streams'}, {'test_file': 'dynamo/test_structured_trace'}, {'test_file': 'dynamo/test_subclasses'}, {'test_file': 'dynamo/test_subgraphs'}, {'test_file': 'dynamo/test_torchrec'}, {'test_file': 'dynamo/test_trace_rules'}, {'test_file': 'dynamo/test_tree_map'}, {'test_file': 'dynamo/test_unittest'}, {'test_file': 'dynamo/test_unspec'}, {'test_file': 'dynamo/test_utils'}, {'test_file': 'dynamo/test_verify_correctness'}, {'test_file': 'dynamo/test_view'}, {'test_file': 'dynamo/test_wrap_inductor_compiled_regions'}, {'test_file': 'functorch/dim/test_getsetitem'}, {'test_file': 'functorch/dim/test_split'}, {'test_file': 'functorch/test_ac'}, {'test_file': 'functorch/test_ac_knapsack'}, {'test_file': 'functorch/test_ac_logging'}, {'test_file': 'functorch/test_aot_joint_with_descriptors'}, {'test_file': 'functorch/test_control_flow'}, {'test_file': 'functorch/test_eager_transforms'}, {'test_file': 'functorch/test_logging'}, {'test_file': 'functorch/test_minifier'}, {'test_file': 'functorch/test_ops'}, {'test_file': 'functorch/test_vmap'}, {'test_file': 'functorch/test_vmap_registrations'}, {'test_file': 'higher_order_ops/test_invoke_quant'}, {'test_file': 'higher_order_ops/test_invoke_subgraph'}, {'test_file': 'higher_order_ops/test_local_map'}, {'test_file': 'higher_order_ops/test_print'}, {'test_file': 'higher_order_ops/test_with_effects'}, {'test_file': 'lazy/test_bindings'}, {'test_file': 'lazy/test_debug_util'}, {'test_file': 'lazy/test_functionalization'}, {'test_file': 'lazy/test_generator'}, {'test_file': 'lazy/test_reuse_ir'}, {'test_file': 'lazy/test_step_closures'}, {'test_file': 'lazy/test_ts_opinfo'}, {'test_file': 'nn/attention/test_fa4'}, {'test_file': 'nn/attention/test_open_registry'}, {'test_file': 'nn/test_convolution'}, {'test_file': 'nn/test_dropout'}, {'test_file': 'nn/test_embedding'}, {'test_file': 'nn/test_init'}, {'test_file': 'nn/test_lazy_modules'}, {'test_file': 'nn/test_load_state_dict'}, {'test_file': 'nn/test_module_hooks'}, {'test_file': 'nn/test_multihead_attention'}, {'test_file': 'nn/test_packed_sequence'}, {'test_file': 'nn/test_parametrization'}, {'test_file': 'nn/test_pooling'}, {'test_file': 'nn/test_pruning'}, {'test_file': 'optim/test_lrscheduler'}, {'test_file': 'optim/test_optim'}, {'test_file': 'optim/test_swa_utils'}, {'test_file': 'profiler/test_cpp_thread'}, {'test_file': 'profiler/test_execution_trace'}, {'test_file': 'profiler/test_kineto'}, {'test_file': 'profiler/test_memory_profiler'}, {'test_file': 'profiler/test_profiler'}, {'test_file': 'profiler/test_profiler_tree'}, {'test_file': 'profiler/test_python_tracer'}, {'test_file': 'profiler/test_record_function'}, {'test_file': 'profiler/test_torch_tidy'}, {'test_file': 'test_accelerator'}, {'test_file': 'test_ao_sparsity'}, {'test_file': 'test_appending_byte_serializer'}, {'test_file': 'test_as_strided'}, {'test_file': 'test_autocast'}, {'test_file': 'test_autograd'}, {'test_file': 'test_autograd_fallback'}, {'test_file': 'test_autoload'}, {'test_file': 'test_autoload_disable'}, {'test_file': 'test_autoload_enable'}, {'test_file': 'test_binary_ufuncs'}, {'test_file': 'test_bundled_inputs'}, {'test_file': 'test_ci_sanity_check_fail'}, {'test_file': 'test_comparison_utils'}, {'test_file': 'test_compile_benchmark_util'}, {'test_file': 'test_complex'}, {'test_file': 'test_content_store'}, {'test_file': 'test_cpp_api_parity'}, {'test_file': 'test_cpp_extensions_aot_ninja'}, {'test_file': 'test_cpp_extensions_aot_no_ninja'}, {'test_file': 'test_cpp_extensions_jit'}, {'test_file': 'test_cpp_extensions_mtia_backend'}, {'test_file': 'test_cpp_extensions_stream_and_event'}, {'test_file': 'test_cuda'}, {'test_file': 'test_cuda_expandable_segments'}, {'test_file': 'test_cuda_multigpu'}, {'test_file': 'test_cuda_nvml_based_avail'}, {'test_file': 'test_cuda_primary_ctx'}, {'test_file': 'test_cuda_sanitizer'}, {'test_file': 'test_cuda_trace'}, {'test_file': 'test_custom_ops'}, {'test_file': 'test_dataloader'}, {'test_file': 'test_datapipe'}, {'test_file': 'test_decomp'}, {'test_file': 'test_dispatch'}, {'test_file': 'test_dlpack'}, {'test_file': 'test_dynamic_shapes'}, {'test_file': 'test_expanded_weights'}, {'test_file': 'test_extension_utils'}, {'test_file': 'test_fake_tensor'}, {'test_file': 'test_file_check'}, {'test_file': 'test_flop_counter'}, {'test_file': 'test_foreach'}, {'test_file': 'test_function_schema'}, {'test_file': 'test_functional_autograd_benchmark'}, {'test_file': 'test_functional_optim'}, {'test_file': 'test_functionalization'}, {'test_file': 'test_functionalization_of_rng_ops'}, {'test_file': 'test_futures'}, {'test_file': 'test_fx'}, {'test_file': 'test_fx_experimental'}, {'test_file': 'test_fx_passes'}, {'test_file': 'test_fx_reinplace_pass'}, {'test_file': 'test_hop_infra'}, {'test_file': 'test_hub'}, {'test_file': 'test_import_stats'}, {'test_file': 'test_indexing'}, {'test_file': 'test_itt'}, {'test_file': 'test_jit'}, {'test_file': 'test_jit_autocast'}, {'test_file': 'test_jit_disabled'}, {'test_file': 'test_jit_fuser_te'}, {'test_file': 'test_jit_llga_fuser'}, {'test_file': 'test_jiterator'}, {'test_file': 'test_legacy_vmap'}, {'test_file': 'test_license'}, {'test_file': 'test_linalg'}, {'test_file': 'test_logging'}, {'test_file': 'test_masked'}, {'test_file': 'test_maskedtensor'}, {'test_file': 'test_matmul_cuda'}, {'test_file': 'test_meta'}, {'test_file': 'test_mkl_verbose'}, {'test_file': 'test_mkldnn'}, {'test_file': 'test_mkldnn_fusion'}, {'test_file': 'test_mkldnn_verbose'}, {'test_file': 'test_mobile_optimizer'}, {'test_file': 'test_model_exports_to_core_aten'}, {'test_file': 'test_module_tracker'}, {'test_file': 'test_modules'}, {'test_file': 'test_monitor'}, {'test_file': 'test_multiprocessing'}, {'test_file': 'test_multiprocessing_spawn'}, {'test_file': 'test_namedtensor'}, {'test_file': 'test_namedtuple_return_api'}, {'test_file': 'test_native_functions'}, {'test_file': 'test_native_mha'}, {'test_file': 'test_nestedtensor'}, {'test_file': 'test_nn'}, {'test_file': 'test_numa_binding'}, {'test_file': 'test_numba_integration'}, {'test_file': 'test_numpy_interop'}, {'test_file': 'test_opaque_obj_v2'}, {'test_file': 'test_openmp'}, {'test_file': 'test_ops'}, {'test_file': 'test_ops_fwd_gradients'}, {'test_file': 'test_ops_gradients'}, {'test_file': 'test_ops_jit'}, {'test_file': 'test_optim'}, {'test_file': 'test_out_dtype_op'}, {'test_file': 'test_overrides'}, {'test_file': 'test_package'}, {'test_file': 'test_per_overload_api'}, {'test_file': 'test_prims'}, {'test_file': 'test_privateuseone_python_backend'}, {'test_file': 'test_proxy_tensor'}, {'test_file': 'test_pruning_op'}, {'test_file': 'test_public_bindings'}, {'test_file': 'test_python_dispatch'}, {'test_file': 'test_pytree'}, {'test_file': 'test_reductions'}, {'test_file': 'test_rename_privateuse1_to_existing_device'}, {'test_file': 'test_scaled_matmul_cuda'}, {'test_file': 'test_scatter_gather_ops'}, {'test_file': 'test_schema_check'}, {'test_file': 'test_segment_reductions'}, {'test_file': 'test_serialization'}, {'test_file': 'test_set_default_mobile_cpu_allocator'}, {'test_file': 'test_shape_ops'}, {'test_file': 'test_show_pickle'}, {'test_file': 'test_sort_and_select'}, {'test_file': 'test_sparse'}, {'test_file': 'test_sparse_csr'}, {'test_file': 'test_sparse_semi_structured'}, {'test_file': 'test_spectral_ops'}, {'test_file': 'test_stateless'}, {'test_file': 'test_subclass'}, {'test_file': 'test_sympy_utils'}, {'test_file': 'test_tensor_creation_ops'}, {'test_file': 'test_tensorboard'}, {'test_file': 'test_tensorexpr'}, {'test_file': 'test_tensorexpr_pybind'}, {'test_file': 'test_testing'}, {'test_file': 'test_torch'}, {'test_file': 'test_torchfuzz_repros'}, {'test_file': 'test_transformers'}, {'test_file': 'test_type_hints'}, {'test_file': 'test_type_info'}, {'test_file': 'test_type_promotion'}, {'test_file': 'test_typing'}, {'test_file': 'test_unary_ufuncs'}, {'test_file': 'test_utils'}, {'test_file': 'test_utils_config_module'}, {'test_file': 'test_utils_filelock'}, {'test_file': 'test_varlen_attention'}, {'test_file': 'test_view_ops'}, {'test_file': 'test_vulkan'}, {'test_file': 'test_weak'}, {'test_file': 'test_xnnpack_integration'}, {'test_file': 'torch_np/numpy_tests/core/test_dlpack'}, {'test_file': 'torch_np/numpy_tests/core/test_dtype'}, {'test_file': 'torch_np/numpy_tests/core/test_einsum'}, {'test_file': 'torch_np/numpy_tests/core/test_getlimits'}, {'test_file': 'torch_np/numpy_tests/core/test_indexing'}, {'test_file': 'torch_np/numpy_tests/core/test_numeric'}, {'test_file': 'torch_np/numpy_tests/core/test_numerictypes'}, {'test_file': 'torch_np/numpy_tests/core/test_scalar_ctors'}, {'test_file': 'torch_np/numpy_tests/core/test_scalar_methods'}, {'test_file': 'torch_np/numpy_tests/core/test_scalarinherit'}, {'test_file': 'torch_np/numpy_tests/core/test_scalarmath'}, {'test_file': 'torch_np/numpy_tests/core/test_shape_base'}, {'test_file': 'torch_np/numpy_tests/fft/test_helper'}, {'test_file': 'torch_np/numpy_tests/fft/test_pocketfft'}, {'test_file': 'torch_np/numpy_tests/lib/test_arraypad'}, {'test_file': 'torch_np/numpy_tests/lib/test_arraysetops'}, {'test_file': 'torch_np/numpy_tests/lib/test_function_base'}, {'test_file': 'torch_np/numpy_tests/lib/test_histograms'}, {'test_file': 'torch_np/numpy_tests/lib/test_index_tricks'}, {'test_file': 'torch_np/numpy_tests/lib/test_shape_base_'}, {'test_file': 'torch_np/numpy_tests/lib/test_twodim_base'}, {'test_file': 'torch_np/numpy_tests/lib/test_type_check'}, {'test_file': 'torch_np/numpy_tests/linalg/test_linalg'}, {'test_file': 'torch_np/test_basic'}, {'test_file': 'torch_np/test_binary_ufuncs'}, {'test_file': 'torch_np/test_dtype'}, {'test_file': 'torch_np/test_function_base'}, {'test_file': 'torch_np/test_indexing'}, {'test_file': 'torch_np/test_ndarray_methods'}, {'test_file': 'torch_np/test_nep50_examples'}, {'test_file': 'torch_np/test_random'}, {'test_file': 'torch_np/test_reductions'}, {'test_file': 'torch_np/test_scalars_0D_arrays'}, {'test_file': 'torch_np/test_ufuncs_basic'}, {'test_file': 'torch_np/test_unary_ufuncs'}, {'test_file': 'typing/test_python_operators'}, {'test_file': 'xpu/test_conv'}, {'test_file': 'xpu/test_fusion'}, {'test_file': 'xpu/test_gemm'}], 'excluded': []} from test/test-reports/td_exclusions-a9be9cef693ccab8e7f2.json is not a benchmark record, skipping 2025-12-04T10:18:15.1898691Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T10:18:15.1901019Z /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-c6b10d40447f33eeac4f.json is not a benchmark record, skipping 2025-12-04T10:18:15.1903050Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T10:18:15.2070228Z ##[group]Run cat test/**/*_toprint.log || true 2025-12-04T10:18:15.2070486Z cat test/**/*_toprint.log || true 2025-12-04T10:18:15.2074802Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:18:15.2075027Z env: 2025-12-04T10:18:15.2075180Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:18:15.2075358Z HAS_NVIDIA_GPU: false 2025-12-04T10:18:15.2075687Z DOCKER_CONTAINER_ID: db2995d426dd902994aff11f152811d23dcaf66195cdba426171bd026d66ce23 2025-12-04T10:18:15.2075990Z DEVICE_NAME: 2025-12-04T10:18:15.2076153Z DEVICE_TYPE: 2025-12-04T10:18:15.2076307Z ##[endgroup] 2025-12-04T10:18:15.2148156Z cat: 'test/**/*_toprint.log': No such file or directory 2025-12-04T10:18:15.2174957Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-12-04T10:18:15.2175235Z kill "$MONITOR_SCRIPT_PID" 2025-12-04T10:18:15.2179543Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:18:15.2179933Z env: 2025-12-04T10:18:15.2180149Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:18:15.2180410Z HAS_NVIDIA_GPU: false 2025-12-04T10:18:15.2180839Z DOCKER_CONTAINER_ID: db2995d426dd902994aff11f152811d23dcaf66195cdba426171bd026d66ce23 2025-12-04T10:18:15.2181278Z DEVICE_NAME: 2025-12-04T10:18:15.2181500Z DEVICE_TYPE: 2025-12-04T10:18:15.2181735Z MONITOR_SCRIPT_PID: 43453 2025-12-04T10:18:15.2181985Z ##[endgroup] 2025-12-04T10:18:15.2201453Z /home/ec2-user/actions-runner/_work/_temp/93c67eae-91dd-47d8-9278-50786cc0a3a5.sh: line 1: kill: (43453) - No such process 2025-12-04T10:18:15.2204788Z ##[error]Process completed with exit code 1. 2025-12-04T10:18:15.2278242Z Prepare all required actions 2025-12-04T10:18:15.2278598Z Getting action download info 2025-12-04T10:18:15.4185762Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-12-04T10:18:15.6569879Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-12-04T10:18:16.0217532Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-12-04T10:18:16.0217785Z with: 2025-12-04T10:18:16.0218044Z file-suffix: test-dynamo_wrapped-1-3-linux.c7i.2xlarge_57116440095 2025-12-04T10:18:16.0218341Z s3-bucket: gha-artifacts 2025-12-04T10:18:16.0218519Z env: 2025-12-04T10:18:16.0218674Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:18:16.0218859Z HAS_NVIDIA_GPU: false 2025-12-04T10:18:16.0219158Z DOCKER_CONTAINER_ID: db2995d426dd902994aff11f152811d23dcaf66195cdba426171bd026d66ce23 2025-12-04T10:18:16.0219501Z DEVICE_NAME: 2025-12-04T10:18:16.0219666Z DEVICE_TYPE: 2025-12-04T10:18:16.0219855Z ##[endgroup] 2025-12-04T10:18:16.0237157Z ##[group]Run # Remove any previous test jsons if they exist 2025-12-04T10:18:16.0237439Z # Remove any previous test jsons if they exist 2025-12-04T10:18:16.0237687Z rm -f test-jsons-*.zip 2025-12-04T10:18:16.0237958Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-12-04T10:18:16.0242258Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:18:16.0242491Z env: 2025-12-04T10:18:16.0242650Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:18:16.0242826Z HAS_NVIDIA_GPU: false 2025-12-04T10:18:16.0243103Z DOCKER_CONTAINER_ID: db2995d426dd902994aff11f152811d23dcaf66195cdba426171bd026d66ce23 2025-12-04T10:18:16.0243407Z DEVICE_NAME: 2025-12-04T10:18:16.0243566Z DEVICE_TYPE: 2025-12-04T10:18:16.0243798Z FILE_SUFFIX: test-dynamo_wrapped-1-3-linux.c7i.2xlarge_57116440095 2025-12-04T10:18:16.0244056Z ##[endgroup] 2025-12-04T10:18:16.0390189Z adding: test/test-reports/td_exclusions-a9be9cef693ccab8e7f2.json (deflated 83%) 2025-12-04T10:18:16.0390923Z adding: test/test-reports/python-pytest/distributions.test_distributions/distributions.test_distributions-a6f7d5398d32e76b.json (deflated 94%) 2025-12-04T10:18:16.0391971Z adding: test/test-reports/python-pytest/distributions.test_distributions/distributions.test_distributions-8e051d0eb6fded4d.json (deflated 95%) 2025-12-04T10:18:16.0397101Z adding: test/test-reports/python-pytest/nn.test_pooling/nn.test_pooling-468c1170f10934ee.json (deflated 93%) 2025-12-04T10:18:16.0397669Z adding: test/test-reports/python-pytest/test_autocast/test_autocast-06dc75f78290ff5a.json (deflated 91%) 2025-12-04T10:18:16.0398223Z adding: test/test-reports/python-pytest/test_autograd_fallback/test_autograd_fallback-d849a02220fbe9c1.json (deflated 90%) 2025-12-04T10:18:16.0417364Z adding: test/test-reports/python-pytest/test_cpp_api_parity/test_cpp_api_parity-2b1d634802a60849.json (deflated 98%) 2025-12-04T10:18:16.0417925Z adding: test/test-reports/python-pytest/test_jit_disabled/test_jit_disabled-d5f7c89f6d0eb7b5.json (deflated 72%) 2025-12-04T10:18:16.0418642Z adding: test/test-reports/python-pytest/test_mobile_optimizer/test_mobile_optimizer-398ac00210a2482c.json (deflated 83%) 2025-12-04T10:18:16.0421103Z adding: test/test-reports/python-pytest/test_multiprocessing/test_multiprocessing-fb3d4b42f15bfd8e.json (deflated 92%) 2025-12-04T10:18:16.0422357Z adding: test/test-reports/python-pytest/test_multiprocessing_spawn/test_multiprocessing_spawn-29251135dde79106.json (deflated 91%) 2025-12-04T10:18:16.0448049Z adding: test/test-reports/python-pytest/test_nn/test_nn-e9a5f83bcbb7bb04.json (deflated 96%) 2025-12-04T10:18:16.0472147Z adding: test/test-reports/python-pytest/test_nn/test_nn-3ba629b4bde66528.json (deflated 96%) 2025-12-04T10:18:16.0502768Z adding: test/test-reports/python-pytest/test_overrides/test_overrides-9165827348ba994a.json (deflated 97%) 2025-12-04T10:18:16.0503749Z adding: test/test-reports/python-pytest/test_privateuseone_python_backend/test_privateuseone_python_backend-4ecfdc3bb925a159.json (deflated 71%) 2025-12-04T10:18:16.0506432Z adding: test/test-reports/python-pytest/test_python_dispatch/test_python_dispatch-c6bb3922a6adb3b0.json (deflated 92%) 2025-12-04T10:18:16.0560692Z adding: test/test-reports/python-pytest/test_reductions/test_reductions-d3cb08222ea2e4ca.json (deflated 98%) 2025-12-04T10:18:16.0613189Z adding: test/test-reports/python-pytest/test_reductions/test_reductions-89c8450299e2a073.json (deflated 98%) 2025-12-04T10:18:16.0613878Z adding: test/test-reports/python-pytest/test_show_pickle/test_show_pickle-9065f6e2192f7c8e.json (deflated 43%) 2025-12-04T10:18:16.0614475Z adding: test/test-reports/python-pytest/test_sort_and_select/test_sort_and_select-e55e30695fe27fe2.json (deflated 93%) 2025-12-04T10:18:16.0622418Z adding: test/test-reports/python-pytest/test_spectral_ops/test_spectral_ops-e452c0744e17ce77.json (deflated 96%) 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test/test-reports/python-pytest/cpp_extensions.python_agnostic_extension.test.test_python_agnostic/cpp_extensions.python_agnostic_extension.test.test_python_agnostic-6a0740671dcf1a6e.json (stored 0%) 2025-12-04T10:18:16.0787688Z adding: test/test-reports/python-pytest/dynamo.cpython.3_13.test_cmath/dynamo.cpython.3_13.test_cmath-febda3681e9973c9.json (stored 0%) 2025-12-04T10:18:16.0788291Z adding: test/test-reports/python-pytest/dynamo.cpython.3_13.test_cmath/dynamo.cpython.3_13.test_cmath-76e0c3af4a164593.json (deflated 95%) 2025-12-04T10:18:16.0789097Z adding: test/test-reports/python-pytest/dynamo.cpython.3_13.test_contextlib/dynamo.cpython.3_13.test_contextlib-94dbf43c1d978b7d.json (stored 0%) 2025-12-04T10:18:16.0789744Z adding: test/test-reports/python-pytest/dynamo.cpython.3_13.test_contextlib/dynamo.cpython.3_13.test_contextlib-4e751739b4404c52.json (deflated 96%) 2025-12-04T10:18:16.0790437Z adding: 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(stored 0%) 2025-12-04T10:18:16.0797645Z adding: test/test-reports/python-pytest/dynamo.cpython.3_13.test_raise/dynamo.cpython.3_13.test_raise-d012495b7cbdcc9a.json (deflated 95%) 2025-12-04T10:18:16.0798247Z adding: test/test-reports/python-pytest/dynamo.cpython.3_13.test_sort/dynamo.cpython.3_13.test_sort-b784fbc18b4b27d3.json (stored 0%) 2025-12-04T10:18:16.0798855Z adding: test/test-reports/python-pytest/dynamo.cpython.3_13.test_sort/dynamo.cpython.3_13.test_sort-e11c9120de87674d.json (deflated 94%) 2025-12-04T10:18:16.0799543Z adding: test/test-reports/python-pytest/dynamo.cpython.3_13.test_unittest.test_assertions/dynamo.cpython.3_13.test_unittest.test_assertions-6f07acbe7e20b743.json (stored 0%) 2025-12-04T10:18:16.0800306Z adding: test/test-reports/python-pytest/dynamo.cpython.3_13.test_unittest.test_assertions/dynamo.cpython.3_13.test_unittest.test_assertions-0c251661eb33061a.json (deflated 96%) 2025-12-04T10:18:16.0800972Z adding: 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2025-12-04T10:18:16.1038276Z adding: test/test-reports/python-pytest/xpu.test_conv/xpu.test_conv-59a962b9637a4d72.json (stored 0%) 2025-12-04T10:18:16.1039056Z adding: test/test-reports/python-unittest/test_autoload/TEST-TestDeviceBackendAutoload-20251204091107.json (deflated 37%) 2025-12-04T10:18:16.1039736Z adding: test/test-reports/td_exclusions-c6b10d40447f33eeac4f.json (deflated 73%) 2025-12-04T10:18:16.1054820Z ##[group]Run # Remove any previous test reports if they exist 2025-12-04T10:18:16.1055173Z # Remove any previous test reports if they exist 2025-12-04T10:18:16.1055463Z rm -f test-reports-*.zip 2025-12-04T10:18:16.1055790Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv' 2025-12-04T10:18:16.1060333Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:18:16.1060561Z env: 2025-12-04T10:18:16.1060719Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:18:16.1060895Z HAS_NVIDIA_GPU: false 2025-12-04T10:18:16.1061166Z DOCKER_CONTAINER_ID: db2995d426dd902994aff11f152811d23dcaf66195cdba426171bd026d66ce23 2025-12-04T10:18:16.1061460Z DEVICE_NAME: 2025-12-04T10:18:16.1061617Z DEVICE_TYPE: 2025-12-04T10:18:16.1061836Z FILE_SUFFIX: test-dynamo_wrapped-1-3-linux.c7i.2xlarge_57116440095 2025-12-04T10:18:16.1062092Z ##[endgroup] 2025-12-04T10:18:16.1127396Z adding: test/test-reports/python-pytest/distributions.test_distributions/distributions.test_distributions-a6f7d5398d32e76b.xml (deflated 91%) 2025-12-04T10:18:16.1128586Z adding: test/test-reports/python-pytest/distributions.test_distributions/distributions.test_distributions-8e051d0eb6fded4d.xml (deflated 93%) 2025-12-04T10:18:16.1131059Z adding: test/test-reports/python-pytest/nn.test_pooling/nn.test_pooling-468c1170f10934ee.xml (deflated 89%) 2025-12-04T10:18:16.1131676Z adding: test/test-reports/python-pytest/test_autocast/test_autocast-06dc75f78290ff5a.xml (deflated 86%) 2025-12-04T10:18:16.1133092Z adding: 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87%) 2025-12-04T10:18:16.1535807Z adding: test/test-reports/python-pytest/dynamo.cpython.3_13.test_raise/dynamo.cpython.3_13.test_raise-eca03d41484ff259.xml (deflated 28%) 2025-12-04T10:18:16.1536404Z adding: test/test-reports/python-pytest/dynamo.cpython.3_13.test_raise/dynamo.cpython.3_13.test_raise-d012495b7cbdcc9a.xml (deflated 93%) 2025-12-04T10:18:16.1536994Z adding: test/test-reports/python-pytest/dynamo.cpython.3_13.test_sort/dynamo.cpython.3_13.test_sort-b784fbc18b4b27d3.xml (deflated 28%) 2025-12-04T10:18:16.1537580Z adding: test/test-reports/python-pytest/dynamo.cpython.3_13.test_sort/dynamo.cpython.3_13.test_sort-e11c9120de87674d.xml (deflated 91%) 2025-12-04T10:18:16.1538277Z adding: test/test-reports/python-pytest/dynamo.cpython.3_13.test_unittest.test_assertions/dynamo.cpython.3_13.test_unittest.test_assertions-6f07acbe7e20b743.xml (deflated 28%) 2025-12-04T10:18:16.1539029Z adding: test/test-reports/python-pytest/dynamo.cpython.3_13.test_unittest.test_assertions/dynamo.cpython.3_13.test_unittest.test_assertions-0c251661eb33061a.xml (deflated 94%) 2025-12-04T10:18:16.1539699Z adding: test/test-reports/python-pytest/dynamo.cpython.3_13.test_with/dynamo.cpython.3_13.test_with-dea8bc0d2f53a80b.xml (deflated 28%) 2025-12-04T10:18:16.1540281Z adding: test/test-reports/python-pytest/dynamo.cpython.3_13.test_with/dynamo.cpython.3_13.test_with-9b5f1df342fa2ebe.xml (deflated 94%) 2025-12-04T10:18:16.1540840Z adding: test/test-reports/python-pytest/test_cuda_sanitizer/test_cuda_sanitizer-d0b1a0fb3ff8e2bd.xml (deflated 28%) 2025-12-04T10:18:16.1541364Z adding: test/test-reports/python-pytest/test_cuda_sanitizer/test_cuda_sanitizer-e310544be6990097.xml (deflated 28%) 2025-12-04T10:18:16.1541863Z adding: test/test-reports/python-pytest/test_unary_ufuncs/test_unary_ufuncs-4bfe3f3976d6a850.xml (deflated 28%) 2025-12-04T10:18:16.1763783Z adding: test/test-reports/python-pytest/test_unary_ufuncs/test_unary_ufuncs-4c1af350059ef9e3.xml (deflated 98%) 2025-12-04T10:18:16.1764819Z adding: test/test-reports/python-pytest/xpu.test_conv/xpu.test_conv-83ae0ee27b3f05a6.xml (deflated 28%) 2025-12-04T10:18:16.1765410Z adding: test/test-reports/python-pytest/xpu.test_conv/xpu.test_conv-59a962b9637a4d72.xml (deflated 28%) 2025-12-04T10:18:16.1766013Z adding: test/test-reports/python-unittest/test_autoload/TEST-TestDeviceBackendAutoload-20251204091107.xml (deflated 43%) 2025-12-04T10:18:16.1791113Z ##[group]Run # Remove any previous usage logs if they exist 2025-12-04T10:18:16.1791537Z # Remove any previous usage logs if they exist 2025-12-04T10:18:16.1791873Z rm -f logs-*.zip 2025-12-04T10:18:16.1792188Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true 2025-12-04T10:18:16.1792625Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true 2025-12-04T10:18:16.1798383Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:18:16.1798734Z env: 2025-12-04T10:18:16.1798957Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:18:16.1799211Z HAS_NVIDIA_GPU: false 2025-12-04T10:18:16.1799638Z DOCKER_CONTAINER_ID: db2995d426dd902994aff11f152811d23dcaf66195cdba426171bd026d66ce23 2025-12-04T10:18:16.1800101Z DEVICE_NAME: 2025-12-04T10:18:16.1800302Z DEVICE_TYPE: 2025-12-04T10:18:16.1800612Z FILE_SUFFIX: test-dynamo_wrapped-1-3-linux.c7i.2xlarge_57116440095 2025-12-04T10:18:16.1800996Z ##[endgroup] 2025-12-04T10:18:16.1852329Z adding: usage_log.txt (deflated 58%) 2025-12-04T10:18:16.1878663Z adding: test/test-reports/cpp.native_test_1.1_4708b59b3091c4f4_.log (deflated 50%) 2025-12-04T10:18:16.1879198Z adding: test/test-reports/distributions.test_distributions_1.3_6d7a7d9269884673_.log (deflated 88%) 2025-12-04T10:18:16.1879745Z adding: test/test-reports/distributions.test_distributions_3.3_85942567471d6983_.log (deflated 89%) 2025-12-04T10:18:16.1884926Z adding: 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2025-12-04T10:18:16.2520557Z adding: test/test-reports/cpp.basic_1.1_8bcd46d5dcdeef5d_.log (deflated 42%) 2025-12-04T10:18:16.2520914Z adding: test/test-reports/cpp.legacy_vmap_test_1.1_fa8339c645673992_.log (deflated 81%) 2025-12-04T10:18:16.2521284Z adding: test/test-reports/dynamo.test_resume_1.1_403c3c21cd15056f_.log (stored 0%) 2025-12-04T10:18:16.2521694Z adding: test/test-reports/dynamo.test_skip_guard_eval_unsafe_1.1_ce0d0929a8acca65_.log (stored 0%) 2025-12-04T10:18:16.2522110Z adding: test/test-reports/cpp.extension_backend_test_1.1_07c9d131c3d99793_.log (deflated 42%) 2025-12-04T10:18:16.2522493Z adding: test/test-reports/dynamo.test_streams_1.1_3001092ddd3fa765_.log (stored 0%) 2025-12-04T10:18:16.2522877Z adding: test/test-reports/dynamo.test_regional_inductor_1.1_d7760654390f8a86_.log (stored 0%) 2025-12-04T10:18:16.2523265Z adding: test/test-reports/dynamo.test_unittest_1.1_3e0f72e2de7d21d8_.log (stored 0%) 2025-12-04T10:18:16.2523628Z adding: test/test-reports/cpp.lazy_tensor_test_1.1_bfb580823dcde189_.log (deflated 42%) 2025-12-04T10:18:16.2523996Z adding: test/test-reports/cpp.legacy_vmap_test_1.1_1abbf8a156248354_.log (deflated 42%) 2025-12-04T10:18:16.2524357Z adding: test/test-reports/cpp.native_test_1.1_8eb4dd6789169d40_.log (deflated 42%) 2025-12-04T10:18:16.2524714Z adding: test/test-reports/cpp.operators_test_1.1_4043458b454b1111_.log (deflated 42%) 2025-12-04T10:18:16.2525084Z adding: test/test-reports/cpp.scalar_tensor_test_1.1_f6ee9b9796362cc0_.log (deflated 42%) 2025-12-04T10:18:16.2525512Z adding: test/test-reports/cpp.scalar_test_1.1_ad4170e24c0d0aa4_.log (deflated 42%) 2025-12-04T10:18:16.2525899Z adding: test/test-reports/cpp.tensor_iterator_test_1.1_b86e0cf927d7b5e6_.log (deflated 42%) 2025-12-04T10:18:16.2526295Z adding: test/test-reports/cpp.undefined_tensor_test_1.1_a1b90793e6ba0825_.log (deflated 42%) 2025-12-04T10:18:16.2526689Z adding: test/test-reports/cpp.wrapdim_test_1.1_b54cbdce54ac830d_.log (deflated 42%) 2025-12-04T10:18:16.2527064Z adding: test/test-reports/cpp.apply_utils_test_1.1_3024a4ddc0bd11d0_.log (deflated 64%) 2025-12-04T10:18:16.2542091Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-12-04T10:18:16.2542479Z # Remove any previous debugging artifacts if they exist 2025-12-04T10:18:16.2542737Z rm -f debug-*.zip 2025-12-04T10:18:16.2542930Z if [ -d 'test/debug' ]; then 2025-12-04T10:18:16.2543160Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-12-04T10:18:16.2543380Z fi 2025-12-04T10:18:16.2547517Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:18:16.2547750Z env: 2025-12-04T10:18:16.2547902Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:18:16.2548084Z HAS_NVIDIA_GPU: false 2025-12-04T10:18:16.2548353Z DOCKER_CONTAINER_ID: db2995d426dd902994aff11f152811d23dcaf66195cdba426171bd026d66ce23 2025-12-04T10:18:16.2548644Z DEVICE_NAME: 2025-12-04T10:18:16.2548798Z DEVICE_TYPE: 2025-12-04T10:18:16.2549017Z FILE_SUFFIX: test-dynamo_wrapped-1-3-linux.c7i.2xlarge_57116440095 2025-12-04T10:18:16.2549261Z ##[endgroup] 2025-12-04T10:18:16.2613491Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T10:18:16.2613733Z with: 2025-12-04T10:18:16.2613917Z s3-bucket: gha-artifacts 2025-12-04T10:18:16.2614164Z s3-prefix: pytorch/pytorch/19922796517/1/artifact 2025-12-04T10:18:16.2614403Z retention-days: 14 2025-12-04T10:18:16.2614578Z if-no-files-found: warn 2025-12-04T10:18:16.2614764Z path: test-jsons-*.zip 2025-12-04T10:18:16.2614926Z name: artifact 2025-12-04T10:18:16.2615090Z region: us-east-1 2025-12-04T10:18:16.2615250Z env: 2025-12-04T10:18:16.2615389Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:18:16.2615619Z HAS_NVIDIA_GPU: false 2025-12-04T10:18:16.2615919Z DOCKER_CONTAINER_ID: db2995d426dd902994aff11f152811d23dcaf66195cdba426171bd026d66ce23 2025-12-04T10:18:16.2616236Z DEVICE_NAME: 2025-12-04T10:18:16.2616406Z DEVICE_TYPE: 2025-12-04T10:18:16.2616566Z ##[endgroup] 2025-12-04T10:18:16.6673917Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T10:18:16.6677349Z With the provided path, there will be 1 file uploaded 2025-12-04T10:18:16.6681422Z Uploading to s3 prefix: pytorch/pytorch/19922796517/1/artifact 2025-12-04T10:18:16.6821698Z Starting upload of test-jsons-test-dynamo_wrapped-1-3-linux.c7i.2xlarge_57116440095.zip 2025-12-04T10:18:16.8554636Z Finished upload of test-jsons-test-dynamo_wrapped-1-3-linux.c7i.2xlarge_57116440095.zip 2025-12-04T10:18:16.8735906Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T10:18:16.8736169Z with: 2025-12-04T10:18:16.8736350Z s3-bucket: gha-artifacts 2025-12-04T10:18:16.8736578Z s3-prefix: pytorch/pytorch/19922796517/1/artifact 2025-12-04T10:18:16.8736824Z retention-days: 14 2025-12-04T10:18:16.8737010Z if-no-files-found: error 2025-12-04T10:18:16.8737202Z path: test-reports-*.zip 2025-12-04T10:18:16.8737390Z name: artifact 2025-12-04T10:18:16.8737558Z region: us-east-1 2025-12-04T10:18:16.8737719Z env: 2025-12-04T10:18:16.8737879Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:18:16.8738066Z HAS_NVIDIA_GPU: false 2025-12-04T10:18:16.8738377Z DOCKER_CONTAINER_ID: db2995d426dd902994aff11f152811d23dcaf66195cdba426171bd026d66ce23 2025-12-04T10:18:16.8738698Z DEVICE_NAME: 2025-12-04T10:18:16.8738862Z DEVICE_TYPE: 2025-12-04T10:18:16.8739027Z ##[endgroup] 2025-12-04T10:18:17.1181281Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T10:18:17.1181619Z With the provided path, there will be 1 file uploaded 2025-12-04T10:18:17.1182191Z Uploading to s3 prefix: pytorch/pytorch/19922796517/1/artifact 2025-12-04T10:18:17.1210308Z Starting upload of test-reports-test-dynamo_wrapped-1-3-linux.c7i.2xlarge_57116440095.zip 2025-12-04T10:18:17.2597786Z Finished upload of test-reports-test-dynamo_wrapped-1-3-linux.c7i.2xlarge_57116440095.zip 2025-12-04T10:18:17.2760860Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T10:18:17.2761195Z with: 2025-12-04T10:18:17.2761419Z s3-bucket: gha-artifacts 2025-12-04T10:18:17.2761754Z s3-prefix: pytorch/pytorch/19922796517/1/artifact 2025-12-04T10:18:17.2762091Z retention-days: 14 2025-12-04T10:18:17.2762343Z if-no-files-found: ignore 2025-12-04T10:18:17.2762617Z path: logs-*.zip 2025-12-04T10:18:17.2762836Z name: artifact 2025-12-04T10:18:17.2763059Z region: us-east-1 2025-12-04T10:18:17.2763304Z env: 2025-12-04T10:18:17.2763513Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:18:17.2763762Z HAS_NVIDIA_GPU: false 2025-12-04T10:18:17.2764188Z DOCKER_CONTAINER_ID: db2995d426dd902994aff11f152811d23dcaf66195cdba426171bd026d66ce23 2025-12-04T10:18:17.2764665Z DEVICE_NAME: 2025-12-04T10:18:17.2764863Z DEVICE_TYPE: 2025-12-04T10:18:17.2765018Z ##[endgroup] 2025-12-04T10:18:17.5250088Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T10:18:17.5251276Z With the provided path, there will be 1 file uploaded 2025-12-04T10:18:17.5251604Z Uploading to s3 prefix: pytorch/pytorch/19922796517/1/artifact 2025-12-04T10:18:17.5279997Z Starting upload of logs-test-dynamo_wrapped-1-3-linux.c7i.2xlarge_57116440095.zip 2025-12-04T10:18:17.6812415Z Finished upload of logs-test-dynamo_wrapped-1-3-linux.c7i.2xlarge_57116440095.zip 2025-12-04T10:18:17.6975453Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T10:18:17.6975782Z with: 2025-12-04T10:18:17.6976004Z s3-bucket: gha-artifacts 2025-12-04T10:18:17.6976318Z s3-prefix: pytorch/pytorch/19922796517/1/artifact 2025-12-04T10:18:17.6976662Z retention-days: 14 2025-12-04T10:18:17.6976909Z if-no-files-found: ignore 2025-12-04T10:18:17.6977172Z path: debug-*.zip 2025-12-04T10:18:17.6977398Z name: artifact 2025-12-04T10:18:17.6977616Z region: us-east-1 2025-12-04T10:18:17.6977837Z env: 2025-12-04T10:18:17.6978035Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:18:17.6978459Z HAS_NVIDIA_GPU: false 2025-12-04T10:18:17.6978902Z DOCKER_CONTAINER_ID: db2995d426dd902994aff11f152811d23dcaf66195cdba426171bd026d66ce23 2025-12-04T10:18:17.6979378Z DEVICE_NAME: 2025-12-04T10:18:17.6979595Z DEVICE_TYPE: 2025-12-04T10:18:17.6979814Z ##[endgroup] 2025-12-04T10:18:17.9389937Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-12-04T10:18:17.9547803Z ##[group]Run # shellcheck disable=SC2156 2025-12-04T10:18:17.9548091Z # shellcheck disable=SC2156 2025-12-04T10:18:17.9548495Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-12-04T10:18:17.9553935Z shell: /usr/bin/bash -e {0} 2025-12-04T10:18:17.9554127Z env: 2025-12-04T10:18:17.9554288Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:18:17.9554462Z HAS_NVIDIA_GPU: false 2025-12-04T10:18:17.9554749Z DOCKER_CONTAINER_ID: db2995d426dd902994aff11f152811d23dcaf66195cdba426171bd026d66ce23 2025-12-04T10:18:17.9555060Z DEVICE_NAME: 2025-12-04T10:18:17.9555221Z DEVICE_TYPE: 2025-12-04T10:18:17.9555372Z ##[endgroup] 2025-12-04T10:18:18.1394784Z Prepare all required actions 2025-12-04T10:18:18.1395192Z Getting action download info 2025-12-04T10:18:18.3012970Z Download action repository 'actions/setup-python@v6' (SHA:83679a892e2d95755f2dac6acb0bfd1e9ac5d548) 2025-12-04T10:18:18.6183285Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-12-04T10:18:18.6183535Z with: 2025-12-04T10:18:18.6183705Z job_id: 57116440095 2025-12-04T10:18:18.6183966Z job_name: dynamo-test (3.13) / test (dynamo_wrapped, 1, 3, linux.c7i.2xlarge) 2025-12-04T10:18:18.6184268Z workflow_name: dynamo-unittest 2025-12-04T10:18:18.6184475Z workflow_run_id: 19922796517 2025-12-04T10:18:18.6184701Z workflow_attempt: 1 2025-12-04T10:18:18.6185047Z env: 2025-12-04T10:18:18.6185251Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:18:18.6185485Z HAS_NVIDIA_GPU: false 2025-12-04T10:18:18.6185859Z DOCKER_CONTAINER_ID: db2995d426dd902994aff11f152811d23dcaf66195cdba426171bd026d66ce23 2025-12-04T10:18:18.6186254Z DEVICE_NAME: 2025-12-04T10:18:18.6186583Z DEVICE_TYPE: 2025-12-04T10:18:18.6186871Z ##[endgroup] 2025-12-04T10:18:18.6219376Z ##[group]Run actions/setup-python@v6 2025-12-04T10:18:18.6219646Z with: 2025-12-04T10:18:18.6219824Z python-version: 3.10 2025-12-04T10:18:18.6220126Z check-latest: false 2025-12-04T10:18:18.6220427Z token: *** 2025-12-04T10:18:18.6220669Z update-environment: true 2025-12-04T10:18:18.6220906Z allow-prereleases: false 2025-12-04T10:18:18.6221150Z freethreaded: false 2025-12-04T10:18:18.6221400Z env: 2025-12-04T10:18:18.6221592Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:18:18.6221830Z HAS_NVIDIA_GPU: false 2025-12-04T10:18:18.6222184Z DOCKER_CONTAINER_ID: db2995d426dd902994aff11f152811d23dcaf66195cdba426171bd026d66ce23 2025-12-04T10:18:18.6222558Z DEVICE_NAME: 2025-12-04T10:18:18.6222751Z DEVICE_TYPE: 2025-12-04T10:18:18.6222980Z ##[endgroup] 2025-12-04T10:18:19.0819047Z ##[group]Installed versions 2025-12-04T10:18:19.0824241Z Version 3.10 was not found in the local cache 2025-12-04T10:18:19.1080119Z (node:55531) [DEP0040] DeprecationWarning: The `punycode` module is deprecated. Please use a userland alternative instead. 2025-12-04T10:18:19.1080614Z (Use `node --trace-deprecation ...` to show where the warning was created) 2025-12-04T10:18:19.4466590Z ##[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 2025-12-04T10:18:19.4619838Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2025-12-04T10:18:19.4620126Z with: 2025-12-04T10:18:19.4620280Z env: 2025-12-04T10:18:19.4620449Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:18:19.4620653Z HAS_NVIDIA_GPU: false 2025-12-04T10:18:19.4620954Z DOCKER_CONTAINER_ID: db2995d426dd902994aff11f152811d23dcaf66195cdba426171bd026d66ce23 2025-12-04T10:18:19.4621361Z DEVICE_NAME: 2025-12-04T10:18:19.4621531Z DEVICE_TYPE: 2025-12-04T10:18:19.4621685Z ##[endgroup] 2025-12-04T10:18:19.4634943Z ##[group]Run set -eou pipefail 2025-12-04T10:18:19.4635172Z set -eou pipefail 2025-12-04T10:18:19.4635362Z  2025-12-04T10:18:19.4635614Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2025-12-04T10:18:19.4635916Z for _ in $(seq 1440); do 2025-12-04T10:18:19.4636141Z  # Break if no ssh session exists anymore 2025-12-04T10:18:19.4636374Z  if [ "$(who)" = "" ]; then 2025-12-04T10:18:19.4636669Z  break 2025-12-04T10:18:19.4636836Z  fi 2025-12-04T10:18:19.4636999Z  echo "." 2025-12-04T10:18:19.4637163Z  sleep 5 2025-12-04T10:18:19.4637332Z done 2025-12-04T10:18:19.4641705Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:18:19.4641971Z env: 2025-12-04T10:18:19.4642135Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:18:19.4642323Z HAS_NVIDIA_GPU: false 2025-12-04T10:18:19.4642614Z DOCKER_CONTAINER_ID: db2995d426dd902994aff11f152811d23dcaf66195cdba426171bd026d66ce23 2025-12-04T10:18:19.4642923Z DEVICE_NAME: 2025-12-04T10:18:19.4643086Z DEVICE_TYPE: 2025-12-04T10:18:19.4643244Z ##[endgroup] 2025-12-04T10:18:19.4665010Z Holding runner for 2 hours until all ssh sessions have logged out 2025-12-04T10:18:19.4752326Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T10:18:19.4752654Z # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T10:18:19.4752925Z # shellcheck disable=SC2046 2025-12-04T10:18:19.4753133Z docker stop $(docker ps -q) || true 2025-12-04T10:18:19.4753344Z # Prune all of the docker images 2025-12-04T10:18:19.4753542Z docker system prune -af 2025-12-04T10:18:19.4757013Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:18:19.4757247Z env: 2025-12-04T10:18:19.4757398Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:18:19.4757572Z HAS_NVIDIA_GPU: false 2025-12-04T10:18:19.4757847Z DOCKER_CONTAINER_ID: db2995d426dd902994aff11f152811d23dcaf66195cdba426171bd026d66ce23 2025-12-04T10:18:19.4758133Z DEVICE_NAME: 2025-12-04T10:18:19.4758290Z DEVICE_TYPE: 2025-12-04T10:18:19.4758442Z ##[endgroup] 2025-12-04T10:18:30.2527256Z db2995d426dd 2025-12-04T10:18:30.8364416Z Deleted Containers: 2025-12-04T10:18:30.8364815Z db2995d426dd902994aff11f152811d23dcaf66195cdba426171bd026d66ce23 2025-12-04T10:18:30.8365033Z 2025-12-04T10:18:36.8977475Z Deleted Images: 2025-12-04T10:18:36.8978316Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T10:18:36.8979034Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image@sha256:c1f9c18037d25fae103c0c0844cb0df24f11f4a552ff16335543fa9a064e86bb 2025-12-04T10:18:36.8979550Z deleted: sha256:ec2694749736a2db0a3fc51e66855e1d8587fa275743e36cf855f84eb3657d81 2025-12-04T10:18:36.8979981Z deleted: sha256:383b48d290e75bc150f819ffaabd6dad2db25330033eeb286961a4f0df40e30f 2025-12-04T10:18:36.8980350Z deleted: sha256:385ab5d18f4cc3ac33728c2797edfa473f0b69dba077059e3fc6c9634a82f460 2025-12-04T10:18:36.8980724Z deleted: sha256:df83fcee56d74a96689d7e9dce4e191d02e028a3d8f5fd88800a5f8acfb5084b 2025-12-04T10:18:36.8981090Z deleted: sha256:ca65795d1387baaa34b046861d665c4d13368715d1062a24881c83d002664a12 2025-12-04T10:18:36.8981450Z deleted: 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2025-12-04T10:18:36.9192527Z Post job cleanup. 2025-12-04T10:18:37.0134980Z (node:55687) [DEP0040] DeprecationWarning: The `punycode` module is deprecated. Please use a userland alternative instead. 2025-12-04T10:18:37.0138718Z (Use `node --trace-deprecation ...` to show where the warning was created) 2025-12-04T10:18:37.0268661Z Post job cleanup. 2025-12-04T10:18:37.0315154Z Post job cleanup. 2025-12-04T10:18:37.1172390Z [command]/usr/bin/git version 2025-12-04T10:18:37.1400707Z git version 2.50.1 2025-12-04T10:18:37.1427923Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/ec48f220-eb78-4ab0-b66a-3a27fcf13ec9/.gitconfig' 2025-12-04T10:18:37.1442798Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/ec48f220-eb78-4ab0-b66a-3a27fcf13ec9' before making global git config changes 2025-12-04T10:18:37.1443453Z Adding repository directory to the temporary git global config as a safe directory 2025-12-04T10:18:37.1448419Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T10:18:37.1487571Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-12-04T10:18:37.1520471Z [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' || :" 2025-12-04T10:18:37.1918668Z Entering 'android/libs/fbjni' 2025-12-04T10:18:37.1972690Z Entering 'third_party/FP16' 2025-12-04T10:18:37.2023920Z Entering 'third_party/FXdiv' 2025-12-04T10:18:37.2071070Z Entering 'third_party/NNPACK' 2025-12-04T10:18:37.2116231Z Entering 'third_party/NVTX' 2025-12-04T10:18:37.2168545Z Entering 'third_party/VulkanMemoryAllocator' 2025-12-04T10:18:37.2219112Z Entering 'third_party/XNNPACK' 2025-12-04T10:18:37.2283647Z Entering 'third_party/aiter' 2025-12-04T10:18:37.2335538Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T10:18:37.2385609Z Entering 'third_party/benchmark' 2025-12-04T10:18:37.2428215Z Entering 'third_party/composable_kernel' 2025-12-04T10:18:37.2480445Z Entering 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Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T10:18:37.4303577Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T10:18:37.4352196Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T10:18:37.4397793Z Entering 'third_party/kleidiai' 2025-12-04T10:18:37.4444223Z Entering 'third_party/mimalloc' 2025-12-04T10:18:37.4491382Z Entering 'third_party/nlohmann' 2025-12-04T10:18:37.4536614Z Entering 'third_party/onnx' 2025-12-04T10:18:37.4593610Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T10:18:37.4644527Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T10:18:37.4691823Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T10:18:37.4739748Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T10:18:37.4785410Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T10:18:37.4830518Z Entering 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[command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-12-04T10:18:37.5947092Z [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' || :" 2025-12-04T10:18:37.6198510Z Entering 'android/libs/fbjni' 2025-12-04T10:18:37.6229784Z http.https://github.com/.extraheader 2025-12-04T10:18:37.6264796Z Entering 'third_party/FP16' 2025-12-04T10:18:37.6292874Z http.https://github.com/.extraheader 2025-12-04T10:18:37.6320009Z Entering 'third_party/FXdiv' 2025-12-04T10:18:37.6353670Z http.https://github.com/.extraheader 2025-12-04T10:18:37.6383119Z Entering 'third_party/NNPACK' 2025-12-04T10:18:37.6417194Z http.https://github.com/.extraheader 2025-12-04T10:18:37.6447109Z Entering 'third_party/NVTX' 2025-12-04T10:18:37.6476356Z http.https://github.com/.extraheader 2025-12-04T10:18:37.6504182Z Entering 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