2025-12-04T08:56:20.1153254Z Current runner version: '2.330.0' 2025-12-04T08:56:20.1159824Z Runner name: 'i-015b10e12ba3bb968' 2025-12-04T08:56:20.1160754Z Runner group name: 'default' 2025-12-04T08:56:20.1161699Z Machine name: 'ip-10-0-1-6' 2025-12-04T08:56:20.1164712Z ##[group]GITHUB_TOKEN Permissions 2025-12-04T08:56:20.1167270Z Contents: read 2025-12-04T08:56:20.1167860Z Metadata: read 2025-12-04T08:56:20.1168372Z ##[endgroup] 2025-12-04T08:56:20.1171199Z Secret source: Actions 2025-12-04T08:56:20.1171963Z Prepare workflow directory 2025-12-04T08:56:20.1687873Z Prepare all required actions 2025-12-04T08:56:20.1719029Z Getting action download info 2025-12-04T08:56:20.4667176Z Download action repository 'pytorch/test-infra@main' (SHA:39aa74d619174326f4e2fb0e216151c2f29d9ffd) 2025-12-04T08:56:22.4982512Z Download action repository 'pytorch/pytorch@main' (SHA:eabb7ad2128580ef674446027b95bcf4e21e8df3) 2025-12-04T08:56:36.1831786Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-12-04T08:56:36.5153370Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-12-04T08:56:36.7783250Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-12-04T08:56:36.9476150Z Download action repository 'seemethere/download-artifact-s3@1da556a7aa0a088e3153970611f6c432d58e80e6' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-12-04T08:56:37.1839038Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-12-04T08:56:37.4479627Z Getting action download info 2025-12-04T08:56:37.5658891Z Download action repository 'actions/checkout@v4' (SHA:34e114876b0b11c390a56381ad16ebd13914f8d5) 2025-12-04T08:56:37.7847879Z Getting action download info 2025-12-04T08:56:37.9310036Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-12-04T08:56:38.1087415Z Getting action download info 2025-12-04T08:56:38.2680507Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-12-04T08:56:38.6392498Z Getting action download info 2025-12-04T08:56:38.8013831Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32) 2025-12-04T08:56:38.8018267Z ##[group] Inputs 2025-12-04T08:56:38.8018820Z build-environment: linux-jammy-py3.11-clang12 2025-12-04T08:56:38.8020671Z 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" }, ]} 2025-12-04T08:56:38.8022415Z docker-image: ci-image:pytorch-linux-jammy-py3.11-clang12 2025-12-04T08:56:38.8022920Z sync-tag: 2025-12-04T08:56:38.8023887Z timeout-minutes: 240 2025-12-04T08:56:38.8024257Z use-gha: 2025-12-04T08:56:38.8024540Z dashboard-tag: 2025-12-04T08:56:38.8024888Z s3-bucket: gha-artifacts 2025-12-04T08:56:38.8025258Z aws-role-to-assume: 2025-12-04T08:56:38.8025841Z disable-monitor: false 2025-12-04T08:56:38.8026256Z monitor-log-interval: 5 2025-12-04T08:56:38.8026666Z monitor-data-collect-interval: 1 2025-12-04T08:56:38.8027095Z ##[endgroup] 2025-12-04T08:56:38.8027545Z Complete job name: dynamo-test (3.11) / test (dynamo_wrapped, 1, 3, linux.c7i.2xlarge) 2025-12-04T08:56:38.8468395Z A job started hook has been configured by the self-hosted runner administrator 2025-12-04T08:56:38.8541901Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh' 2025-12-04T08:56:38.8549403Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:56:38.8550154Z ##[endgroup] 2025-12-04T08:56:39.8110109Z Runner Type: linux.c7i.2xlarge 2025-12-04T08:56:39.8110610Z Instance Type: c7i.2xlarge 2025-12-04T08:56:39.8110936Z AMI Name: unknown 2025-12-04T08:56:39.8126444Z AMI ID: ami-08982f1c5bf93d976 2025-12-04T08:56:43.8926569Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-12-04T08:56:43.8926880Z with: 2025-12-04T08:56:43.8927400Z github-secret: *** 2025-12-04T08:56:43.8927830Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-12-04T08:56:43.8928260Z activate-with-label: false 2025-12-04T08:56:43.8928451Z label: with-ssh 2025-12-04T08:56:43.8928625Z remove-existing-keys: true 2025-12-04T08:56:43.8928801Z fail-silently: true 2025-12-04T08:56:43.8928969Z env: 2025-12-04T08:56:43.8929125Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:56:43.8929365Z ##[endgroup] 2025-12-04T08:56:43.9809455Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-12-04T08:56:43.9810180Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-12-04T08:56:43.9910263Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-12-04T08:56:43.9910558Z with: 2025-12-04T08:56:43.9910731Z no-sudo: true 2025-12-04T08:56:43.9910912Z submodules: recursive 2025-12-04T08:56:43.9911108Z fetch-depth: 0 2025-12-04T08:56:43.9911267Z env: 2025-12-04T08:56:43.9911412Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:56:43.9911581Z ##[endgroup] 2025-12-04T08:56:43.9967938Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:56:43.9968489Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:56:43.9976009Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:56:43.9976257Z env: 2025-12-04T08:56:43.9976429Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:56:43.9976630Z ##[endgroup] 2025-12-04T08:56:44.0053957Z ##[group]Run # Use all available CPUs for fetching 2025-12-04T08:56:44.0054401Z # Use all available CPUs for fetching 2025-12-04T08:56:44.0054760Z cd "${GITHUB_WORKSPACE}" 2025-12-04T08:56:44.0055096Z git config --global fetch.parallel 0 2025-12-04T08:56:44.0055461Z git config --global submodule.fetchJobs 0 2025-12-04T08:56:44.0055781Z  2025-12-04T08:56:44.0056132Z # Clean workspace. The default checkout action should also do this, but 2025-12-04T08:56:44.0056596Z # do it here as well just in case 2025-12-04T08:56:44.0056916Z if [[ -d .git ]]; then 2025-12-04T08:56:44.0057204Z  if [ -z "${NO_SUDO}" ]; then 2025-12-04T08:56:44.0057515Z  sudo git clean -ffdx 2025-12-04T08:56:44.0057795Z  else 2025-12-04T08:56:44.0058032Z  git clean -ffdx 2025-12-04T08:56:44.0058300Z  fi 2025-12-04T08:56:44.0058517Z fi 2025-12-04T08:56:44.0064362Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:56:44.0064745Z env: 2025-12-04T08:56:44.0065078Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:56:44.0065383Z NO_SUDO: true 2025-12-04T08:56:44.0065610Z ##[endgroup] 2025-12-04T08:56:44.0152430Z ##[group]Run actions/checkout@v4 2025-12-04T08:56:44.0152634Z with: 2025-12-04T08:56:44.0152812Z ref: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:56:44.0153016Z fetch-depth: 0 2025-12-04T08:56:44.0153179Z submodules: recursive 2025-12-04T08:56:44.0153351Z show-progress: false 2025-12-04T08:56:44.0153517Z repository: pytorch/pytorch 2025-12-04T08:56:44.0153775Z token: *** 2025-12-04T08:56:44.0153923Z ssh-strict: true 2025-12-04T08:56:44.0154070Z ssh-user: git 2025-12-04T08:56:44.0154222Z persist-credentials: true 2025-12-04T08:56:44.0154394Z clean: true 2025-12-04T08:56:44.0154735Z sparse-checkout-cone-mode: true 2025-12-04T08:56:44.0154922Z fetch-tags: false 2025-12-04T08:56:44.0155074Z lfs: false 2025-12-04T08:56:44.0155231Z set-safe-directory: true 2025-12-04T08:56:44.0155402Z env: 2025-12-04T08:56:44.0155549Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:56:44.0155720Z ##[endgroup] 2025-12-04T08:56:44.1023154Z Syncing repository: pytorch/pytorch 2025-12-04T08:56:44.1024786Z ##[group]Getting Git version info 2025-12-04T08:56:44.1025280Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-12-04T08:56:44.1025954Z [command]/usr/bin/git version 2025-12-04T08:56:44.1026267Z git version 2.50.1 2025-12-04T08:56:44.1027281Z ##[endgroup] 2025-12-04T08:56:44.1031784Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/6610a395-3768-414c-bab2-c7594ec2d8bf/.gitconfig' 2025-12-04T08:56:44.1049118Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/6610a395-3768-414c-bab2-c7594ec2d8bf' before making global git config changes 2025-12-04T08:56:44.1050122Z Adding repository directory to the temporary git global config as a safe directory 2025-12-04T08:56:44.1053538Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T08:56:44.1082661Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-12-04T08:56:44.1084964Z ##[group]Initializing the repository 2025-12-04T08:56:44.1088261Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T08:56:44.1111816Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-12-04T08:56:44.1112528Z hint: is subject to change. To configure the initial branch name to use in all 2025-12-04T08:56:44.1113169Z hint: of your new repositories, which will suppress this warning, call: 2025-12-04T08:56:44.1113595Z hint: 2025-12-04T08:56:44.1113927Z hint: git config --global init.defaultBranch 2025-12-04T08:56:44.1114283Z hint: 2025-12-04T08:56:44.1114688Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-12-04T08:56:44.1115270Z hint: 'development'. The just-created branch can be renamed via this command: 2025-12-04T08:56:44.1115688Z hint: 2025-12-04T08:56:44.1115911Z hint: git branch -m 2025-12-04T08:56:44.1116179Z hint: 2025-12-04T08:56:44.1116533Z hint: Disable this message with "git config set advice.defaultBranchName false" 2025-12-04T08:56:44.1117206Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2025-12-04T08:56:44.1121005Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-12-04T08:56:44.1140368Z ##[endgroup] 2025-12-04T08:56:44.1140931Z ##[group]Disabling automatic garbage collection 2025-12-04T08:56:44.1143937Z [command]/usr/bin/git config --local gc.auto 0 2025-12-04T08:56:44.1161315Z ##[endgroup] 2025-12-04T08:56:44.1161741Z ##[group]Setting up auth 2025-12-04T08:56:44.1166626Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-12-04T08:56:44.1186668Z [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' || :" 2025-12-04T08:56:44.1421759Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-12-04T08:56:44.1440397Z [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' || :" 2025-12-04T08:56:44.1657439Z [command]/usr/bin/git config --local --name-only --get-regexp ^includeIf\.gitdir: 2025-12-04T08:56:44.1677702Z [command]/usr/bin/git submodule foreach --recursive git config --local --show-origin --name-only --get-regexp remote.origin.url 2025-12-04T08:56:44.1892316Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-12-04T08:56:44.1934087Z ##[endgroup] 2025-12-04T08:56:44.1934417Z ##[group]Fetching the repository 2025-12-04T08:56:44.1939421Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-12-04T08:57:34.1592681Z From https://github.com/pytorch/pytorch 2025-12-04T08:57:34.1593445Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-12-04T08:57:34.1598904Z * [new branch] 2.9.1 -> origin/2.9.1 2025-12-04T08:57:34.1599545Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-12-04T08:57:34.1599952Z * [new branch] Flamefire-patch-1 -> origin/Flamefire-patch-1 2025-12-04T08:57:34.1600311Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-12-04T08:57:34.1600784Z * [new branch] HOPrintFunc -> origin/HOPrintFunc 2025-12-04T08:57:34.1601231Z * [new branch] IvanKobzarev/stack/1 -> origin/IvanKobzarev/stack/1 2025-12-04T08:57:34.1602124Z * [new branch] NicoshevSVE128 -> origin/NicoshevSVE128 2025-12-04T08:57:34.1602482Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-12-04T08:57:34.1602853Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-12-04T08:57:34.1603374Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-12-04T08:57:34.1603787Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-12-04T08:57:34.1604224Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-12-04T08:57:34.1604710Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-12-04T08:57:34.1605220Z * [new branch] VLA_exp -> origin/VLA_exp 2025-12-04T08:57:34.1605606Z * [new branch] activation_bench -> origin/activation_bench 2025-12-04T08:57:34.1605911Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-12-04T08:57:34.1606329Z * [new branch] adi/onednn_aarch64 -> origin/adi/onednn_aarch64 2025-12-04T08:57:34.1606620Z * [new branch] adi/test -> origin/adi/test 2025-12-04T08:57:34.1607003Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-12-04T08:57:34.1607358Z * [new branch] adi/test_m8g -> origin/adi/test_m8g 2025-12-04T08:57:34.1607648Z * [new branch] adi/test_onednn -> origin/adi/test_onednn 2025-12-04T08:57:34.1608063Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-12-04T08:57:34.1608439Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-12-04T08:57:34.1608761Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-12-04T08:57:34.1609174Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-12-04T08:57:34.1609612Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-12-04T08:57:34.1609943Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-12-04T08:57:34.1610461Z * [new branch] albanD-patch-1 -> origin/albanD-patch-1 2025-12-04T08:57:34.1610782Z * [new branch] also-surround-shimh -> origin/also-surround-shimh 2025-12-04T08:57:34.1611205Z * [new branch] angelayi/aot_compile -> origin/angelayi/aot_compile 2025-12-04T08:57:34.1611586Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-12-04T08:57:34.1612016Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-12-04T08:57:34.1612682Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-12-04T08:57:34.1613187Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-12-04T08:57:34.1613628Z * [new branch] angelayi/inductor_const -> origin/angelayi/inductor_const 2025-12-04T08:57:34.1613990Z * [new branch] angelayi/lstm -> origin/angelayi/lstm 2025-12-04T08:57:34.1614381Z * [new branch] angelayi/no_so_weight -> origin/angelayi/no_so_weight 2025-12-04T08:57:34.1614834Z * [new branch] angelayi/scan_layers -> origin/angelayi/scan_layers 2025-12-04T08:57:34.1615224Z * [new branch] angelayi/side_eff -> origin/angelayi/side_eff 2025-12-04T08:57:34.1615546Z * [new branch] angelayi/state_dict -> origin/angelayi/state_dict 2025-12-04T08:57:34.1615965Z * [new branch] angelayi/symint_input -> origin/angelayi/symint_input 2025-12-04T08:57:34.1616394Z * [new branch] angelayi/symm_mem -> origin/angelayi/symm_mem 2025-12-04T08:57:34.1616731Z * [new branch] angelayi/test_cpp -> origin/angelayi/test_cpp 2025-12-04T08:57:34.1617142Z * [new branch] angelayi/torch_size -> origin/angelayi/torch_size 2025-12-04T08:57:34.1617509Z * [new branch] annotate_assert -> origin/annotate_assert 2025-12-04T08:57:34.1617870Z * [new branch] annotate_fallback_kernel -> origin/annotate_fallback_kernel 2025-12-04T08:57:34.1618297Z * [new branch] annotation_deepcopy -> origin/annotation_deepcopy 2025-12-04T08:57:34.1618658Z * [new branch] annotation_dynamo -> origin/annotation_dynamo 2025-12-04T08:57:34.1619023Z * [new branch] aot_eager_stack_trace -> origin/aot_eager_stack_trace 2025-12-04T08:57:34.1619439Z * [new 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branch] zxiiro/c7i.2xlarge -> origin/zxiiro/c7i.2xlarge 2025-12-04T08:57:34.5179558Z * [new branch] zxiiro/c7i.2xlarge.h100 -> origin/zxiiro/c7i.2xlarge.h100 2025-12-04T08:57:34.5180354Z * [new branch] zxiiro/main -> origin/zxiiro/main 2025-12-04T08:57:34.5181067Z * [new branch] zxiiro/risc64 -> origin/zxiiro/risc64 2025-12-04T08:57:34.5182074Z * [new branch] zxiiro/test-multicloud-arc -> origin/zxiiro/test-multicloud-arc 2025-12-04T08:57:34.5182819Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-12-04T08:57:34.5183255Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-12-04T08:57:34.5183950Z * [new tag] ciflow/b200/115316 -> ciflow/b200/115316 2025-12-04T08:57:34.5184261Z * [new tag] ciflow/b200/160685 -> ciflow/b200/160685 2025-12-04T08:57:34.5184793Z * [new tag] ciflow/b200/161607 -> ciflow/b200/161607 2025-12-04T08:57:34.5185078Z * [new tag] ciflow/b200/161938 -> ciflow/b200/161938 2025-12-04T08:57:34.5185691Z * [new tag] ciflow/b200/167207 -> ciflow/b200/167207 2025-12-04T08:57:34.5186000Z * [new tag] ciflow/b200/167989 -> ciflow/b200/167989 2025-12-04T08:57:34.5186608Z * [new tag] ciflow/b200/168096 -> ciflow/b200/168096 2025-12-04T08:57:34.5187008Z * [new tag] ciflow/b200/168175 -> ciflow/b200/168175 2025-12-04T08:57:34.5187520Z * [new tag] ciflow/b200/168195 -> ciflow/b200/168195 2025-12-04T08:57:34.5188089Z * [new tag] ciflow/b200/169200 -> ciflow/b200/169200 2025-12-04T08:57:34.5188335Z * [new tag] ciflow/b200/169216 -> ciflow/b200/169216 2025-12-04T08:57:34.5189159Z * [new tag] ciflow/b200/169380 -> ciflow/b200/169380 2025-12-04T08:57:34.5189778Z * [new tag] ciflow/b200/169412 -> ciflow/b200/169412 2025-12-04T08:57:34.5190195Z * [new tag] ciflow/b200/169470 -> ciflow/b200/169470 2025-12-04T08:57:34.5190549Z * [new tag] ciflow/b200/169471 -> ciflow/b200/169471 2025-12-04T08:57:34.5190911Z * [new tag] ciflow/b200/169472 -> ciflow/b200/169472 2025-12-04T08:57:34.5191422Z * [new tag] ciflow/b200/169514 -> ciflow/b200/169514 2025-12-04T08:57:34.5191742Z * [new tag] ciflow/b200/169517 -> ciflow/b200/169517 2025-12-04T08:57:34.5192362Z * [new tag] ciflow/binaries/165922 -> ciflow/binaries/165922 2025-12-04T08:57:34.5192677Z * [new tag] ciflow/binaries/169510 -> ciflow/binaries/169510 2025-12-04T08:57:34.5193409Z * [new tag] ciflow/binaries_wheel/157994 -> ciflow/binaries_wheel/157994 2025-12-04T08:57:34.5193706Z * [new tag] ciflow/binaries_wheel/166829 -> ciflow/binaries_wheel/166829 2025-12-04T08:57:34.5194130Z * [new tag] ciflow/binaries_wheel/167972 -> ciflow/binaries_wheel/167972 2025-12-04T08:57:34.5194517Z * [new tag] ciflow/binaries_wheel/167981 -> ciflow/binaries_wheel/167981 2025-12-04T08:57:34.5195051Z * [new tag] ciflow/dynamo/167695 -> ciflow/dynamo/167695 2025-12-04T08:57:34.5195442Z * [new tag] ciflow/dynamo/168096 -> ciflow/dynamo/168096 2025-12-04T08:57:34.5195862Z * [new tag] ciflow/dynamo/169525 -> ciflow/dynamo/169525 2025-12-04T08:57:34.5196467Z * [new tag] ciflow/h100-cutlass-backend/161938 -> ciflow/h100-cutlass-backend/161938 2025-12-04T08:57:34.5196706Z * [new tag] ciflow/h100-cutlass-backend/161940 -> ciflow/h100-cutlass-backend/161940 2025-12-04T08:57:34.5197347Z * [new tag] ciflow/h100-distributed/168923 -> ciflow/h100-distributed/168923 2025-12-04T08:57:34.5198123Z * [new tag] ciflow/h100-symm-mem/167552 -> ciflow/h100-symm-mem/167552 2025-12-04T08:57:34.5198343Z * [new tag] ciflow/h100-symm-mem/168129 -> ciflow/h100-symm-mem/168129 2025-12-04T08:57:34.5198843Z * [new tag] ciflow/h100-symm-mem/168917 -> ciflow/h100-symm-mem/168917 2025-12-04T08:57:34.5199432Z * [new tag] ciflow/h100-symm-mem/169156 -> ciflow/h100-symm-mem/169156 2025-12-04T08:57:34.5199645Z * [new tag] ciflow/h100-symm-mem/169200 -> ciflow/h100-symm-mem/169200 2025-12-04T08:57:34.5200012Z * [new tag] ciflow/h100-symm-mem/169216 -> ciflow/h100-symm-mem/169216 2025-12-04T08:57:34.5200382Z * [new tag] ciflow/h100-symm-mem/169338 -> ciflow/h100-symm-mem/169338 2025-12-04T08:57:34.5200945Z * [new tag] ciflow/h100-symm-mem/169355 -> ciflow/h100-symm-mem/169355 2025-12-04T08:57:34.5201343Z * [new tag] ciflow/h100-symm-mem/169543 -> ciflow/h100-symm-mem/169543 2025-12-04T08:57:34.5201715Z * [new tag] ciflow/h100/115316 -> ciflow/h100/115316 2025-12-04T08:57:34.5202220Z * [new tag] ciflow/h100/160685 -> ciflow/h100/160685 2025-12-04T08:57:34.5205459Z * [new tag] ciflow/h100/160729 -> ciflow/h100/160729 2025-12-04T08:57:34.5205773Z * [new tag] ciflow/h100/161607 -> ciflow/h100/161607 2025-12-04T08:57:34.5206082Z * [new tag] ciflow/h100/161938 -> ciflow/h100/161938 2025-12-04T08:57:34.5206383Z * [new tag] ciflow/h100/167207 -> ciflow/h100/167207 2025-12-04T08:57:34.5206876Z * [new tag] ciflow/h100/167989 -> ciflow/h100/167989 2025-12-04T08:57:34.5207118Z * [new tag] ciflow/h100/168096 -> ciflow/h100/168096 2025-12-04T08:57:34.5207481Z * [new tag] ciflow/h100/168175 -> ciflow/h100/168175 2025-12-04T08:57:34.5207786Z * [new tag] ciflow/h100/168195 -> ciflow/h100/168195 2025-12-04T08:57:34.5208119Z * [new tag] ciflow/h100/168980 -> ciflow/h100/168980 2025-12-04T08:57:34.5208862Z * [new tag] ciflow/h100/169200 -> ciflow/h100/169200 2025-12-04T08:57:34.5209169Z * [new tag] ciflow/h100/169216 -> ciflow/h100/169216 2025-12-04T08:57:34.5209673Z * [new tag] ciflow/h100/169380 -> ciflow/h100/169380 2025-12-04T08:57:34.5210023Z * [new tag] ciflow/h100/169412 -> ciflow/h100/169412 2025-12-04T08:57:34.5210405Z * [new tag] ciflow/h100/169470 -> ciflow/h100/169470 2025-12-04T08:57:34.5210731Z * [new tag] ciflow/h100/169471 -> ciflow/h100/169471 2025-12-04T08:57:34.5211204Z * [new tag] ciflow/h100/169472 -> ciflow/h100/169472 2025-12-04T08:57:34.5211486Z * [new tag] ciflow/h100/169514 -> ciflow/h100/169514 2025-12-04T08:57:34.5212028Z * [new tag] ciflow/inductor-cu126/168096 -> ciflow/inductor-cu126/168096 2025-12-04T08:57:34.5212746Z * [new tag] ciflow/inductor-micro-benchmark-cpu-x86/168096 -> ciflow/inductor-micro-benchmark-cpu-x86/168096 2025-12-04T08:57:34.5213112Z * [new tag] ciflow/inductor-micro-benchmark/166165 -> ciflow/inductor-micro-benchmark/166165 2025-12-04T08:57:34.5213504Z * [new tag] ciflow/inductor-micro-benchmark/168096 -> ciflow/inductor-micro-benchmark/168096 2025-12-04T08:57:34.5213962Z * [new tag] ciflow/inductor-perf-compare/168096 -> ciflow/inductor-perf-compare/168096 2025-12-04T08:57:34.5214843Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/168073 -> ciflow/inductor-perf-test-nightly-rocm-mi300/168073 2025-12-04T08:57:34.5215196Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/168096 -> ciflow/inductor-perf-test-nightly-rocm-mi300/168096 2025-12-04T08:57:34.5215629Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/169024 -> ciflow/inductor-perf-test-nightly-rocm-mi300/169024 2025-12-04T08:57:34.5216083Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi355/169024 -> ciflow/inductor-perf-test-nightly-rocm-mi355/169024 2025-12-04T08:57:34.5216501Z * [new tag] ciflow/inductor-perf-test-nightly/168096 -> ciflow/inductor-perf-test-nightly/168096 2025-12-04T08:57:34.5216889Z * [new tag] ciflow/inductor-periodic/168096 -> ciflow/inductor-periodic/168096 2025-12-04T08:57:34.5217241Z * [new tag] ciflow/inductor-periodic/169024 -> ciflow/inductor-periodic/169024 2025-12-04T08:57:34.5217839Z * [new tag] ciflow/inductor-periodic/169425 -> ciflow/inductor-periodic/169425 2025-12-04T08:57:34.5218498Z * [new tag] ciflow/inductor-rocm-mi200/165545 -> ciflow/inductor-rocm-mi200/165545 2025-12-04T08:57:34.5218880Z * [new tag] ciflow/inductor-rocm-mi200/165997 -> ciflow/inductor-rocm-mi200/165997 2025-12-04T08:57:34.5219218Z * [new tag] ciflow/inductor-rocm-mi200/168096 -> ciflow/inductor-rocm-mi200/168096 2025-12-04T08:57:34.5219667Z * [new tag] ciflow/inductor-rocm-mi200/169063 -> ciflow/inductor-rocm-mi200/169063 2025-12-04T08:57:34.5220080Z * [new tag] ciflow/inductor-rocm-mi200/169425 -> ciflow/inductor-rocm-mi200/169425 2025-12-04T08:57:34.5220787Z * [new tag] ciflow/inductor-rocm-mi300/165545 -> ciflow/inductor-rocm-mi300/165545 2025-12-04T08:57:34.5221114Z * [new tag] ciflow/inductor-rocm-mi300/168096 -> ciflow/inductor-rocm-mi300/168096 2025-12-04T08:57:34.5221468Z * [new tag] ciflow/inductor-rocm-mi300/169063 -> ciflow/inductor-rocm-mi300/169063 2025-12-04T08:57:34.5221950Z * [new tag] ciflow/inductor-rocm-mi300/169425 -> ciflow/inductor-rocm-mi300/169425 2025-12-04T08:57:34.5222661Z * [new tag] ciflow/inductor-rocm/162052 -> ciflow/inductor-rocm/162052 2025-12-04T08:57:34.5222858Z * [new tag] ciflow/inductor-rocm/168971 -> ciflow/inductor-rocm/168971 2025-12-04T08:57:34.5223475Z * [new tag] ciflow/inductor-windows/168096 -> ciflow/inductor-windows/168096 2025-12-04T08:57:34.5223817Z * [new tag] ciflow/inductor/144542 -> ciflow/inductor/144542 2025-12-04T08:57:34.5224232Z * [new tag] ciflow/inductor/146506 -> ciflow/inductor/146506 2025-12-04T08:57:34.5224549Z * [new tag] ciflow/inductor/147990 -> ciflow/inductor/147990 2025-12-04T08:57:34.5224967Z * [new tag] ciflow/inductor/148294 -> ciflow/inductor/148294 2025-12-04T08:57:34.5225357Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-12-04T08:57:34.5225772Z * [new tag] ciflow/inductor/157149 -> ciflow/inductor/157149 2025-12-04T08:57:34.5226103Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-12-04T08:57:34.5226437Z * [new tag] ciflow/inductor/160685 -> ciflow/inductor/160685 2025-12-04T08:57:34.5226803Z * [new tag] ciflow/inductor/160686 -> ciflow/inductor/160686 2025-12-04T08:57:34.5227143Z * [new tag] ciflow/inductor/160687 -> ciflow/inductor/160687 2025-12-04T08:57:34.5227486Z * [new tag] ciflow/inductor/160688 -> ciflow/inductor/160688 2025-12-04T08:57:34.5228227Z * [new tag] ciflow/inductor/160706 -> ciflow/inductor/160706 2025-12-04T08:57:34.5228513Z * [new tag] ciflow/inductor/160729 -> ciflow/inductor/160729 2025-12-04T08:57:34.5229108Z * [new tag] ciflow/inductor/161938 -> ciflow/inductor/161938 2025-12-04T08:57:34.5229361Z * [new tag] ciflow/inductor/161939 -> ciflow/inductor/161939 2025-12-04T08:57:34.5229889Z * [new tag] ciflow/inductor/161940 -> ciflow/inductor/161940 2025-12-04T08:57:34.5230223Z * [new tag] ciflow/inductor/162052 -> ciflow/inductor/162052 2025-12-04T08:57:34.5230560Z * [new tag] ciflow/inductor/162275 -> ciflow/inductor/162275 2025-12-04T08:57:34.5230902Z * [new tag] ciflow/inductor/162795 -> ciflow/inductor/162795 2025-12-04T08:57:34.5231466Z * [new tag] ciflow/inductor/163245 -> ciflow/inductor/163245 2025-12-04T08:57:34.5231724Z * [new tag] ciflow/inductor/163335 -> ciflow/inductor/163335 2025-12-04T08:57:34.5232142Z * [new tag] ciflow/inductor/163503 -> ciflow/inductor/163503 2025-12-04T08:57:34.5232481Z * [new tag] ciflow/inductor/163942 -> ciflow/inductor/163942 2025-12-04T08:57:34.5232973Z * [new tag] ciflow/inductor/165270 -> ciflow/inductor/165270 2025-12-04T08:57:34.5233306Z * [new tag] ciflow/inductor/165274 -> ciflow/inductor/165274 2025-12-04T08:57:34.5233676Z * [new tag] ciflow/inductor/165322 -> ciflow/inductor/165322 2025-12-04T08:57:34.5234021Z * [new tag] ciflow/inductor/165597 -> ciflow/inductor/165597 2025-12-04T08:57:34.5234395Z * [new tag] ciflow/inductor/166063 -> ciflow/inductor/166063 2025-12-04T08:57:34.5234742Z * [new tag] ciflow/inductor/166075 -> ciflow/inductor/166075 2025-12-04T08:57:34.5235113Z * [new tag] ciflow/inductor/166165 -> ciflow/inductor/166165 2025-12-04T08:57:34.5235773Z * [new tag] ciflow/inductor/166254 -> ciflow/inductor/166254 2025-12-04T08:57:34.5236028Z * [new tag] ciflow/inductor/166483 -> ciflow/inductor/166483 2025-12-04T08:57:34.5236398Z * [new tag] ciflow/inductor/166494 -> ciflow/inductor/166494 2025-12-04T08:57:34.5236708Z * [new tag] ciflow/inductor/166545 -> ciflow/inductor/166545 2025-12-04T08:57:34.5237110Z * [new tag] ciflow/inductor/166788 -> ciflow/inductor/166788 2025-12-04T08:57:34.5237546Z * [new tag] ciflow/inductor/166846 -> ciflow/inductor/166846 2025-12-04T08:57:34.5237904Z * [new tag] ciflow/inductor/167300 -> ciflow/inductor/167300 2025-12-04T08:57:34.5238341Z * [new tag] ciflow/inductor/167407 -> ciflow/inductor/167407 2025-12-04T08:57:34.5238748Z * [new tag] ciflow/inductor/167536 -> ciflow/inductor/167536 2025-12-04T08:57:34.5239098Z * [new tag] ciflow/inductor/167552 -> ciflow/inductor/167552 2025-12-04T08:57:34.5239426Z * [new tag] ciflow/inductor/167555 -> ciflow/inductor/167555 2025-12-04T08:57:34.5239917Z * [new tag] ciflow/inductor/167583 -> ciflow/inductor/167583 2025-12-04T08:57:34.5240246Z * [new tag] ciflow/inductor/167599 -> ciflow/inductor/167599 2025-12-04T08:57:34.5240620Z * [new tag] ciflow/inductor/167647 -> ciflow/inductor/167647 2025-12-04T08:57:34.5240936Z * [new tag] ciflow/inductor/167677 -> ciflow/inductor/167677 2025-12-04T08:57:34.5241744Z * [new tag] ciflow/inductor/167680 -> ciflow/inductor/167680 2025-12-04T08:57:34.5241984Z * [new tag] ciflow/inductor/167695 -> ciflow/inductor/167695 2025-12-04T08:57:34.5242503Z * [new tag] ciflow/inductor/167742 -> ciflow/inductor/167742 2025-12-04T08:57:34.5242703Z * [new tag] ciflow/inductor/167768 -> ciflow/inductor/167768 2025-12-04T08:57:34.5243386Z * [new tag] ciflow/inductor/167773 -> ciflow/inductor/167773 2025-12-04T08:57:34.5243613Z * [new tag] ciflow/inductor/167781 -> ciflow/inductor/167781 2025-12-04T08:57:34.5244124Z * [new tag] ciflow/inductor/167880 -> ciflow/inductor/167880 2025-12-04T08:57:34.5244370Z * [new tag] ciflow/inductor/167887 -> ciflow/inductor/167887 2025-12-04T08:57:34.5244844Z * [new tag] ciflow/inductor/167972 -> ciflow/inductor/167972 2025-12-04T08:57:34.5245095Z * [new tag] ciflow/inductor/167989 -> ciflow/inductor/167989 2025-12-04T08:57:34.5245660Z * [new tag] ciflow/inductor/168002 -> ciflow/inductor/168002 2025-12-04T08:57:34.5245977Z * [new tag] ciflow/inductor/168050 -> ciflow/inductor/168050 2025-12-04T08:57:34.5246287Z * [new tag] ciflow/inductor/168051 -> ciflow/inductor/168051 2025-12-04T08:57:34.5246668Z * [new tag] ciflow/inductor/168052 -> ciflow/inductor/168052 2025-12-04T08:57:34.5247079Z * [new tag] ciflow/inductor/168073 -> ciflow/inductor/168073 2025-12-04T08:57:34.5247407Z * [new tag] ciflow/inductor/168096 -> ciflow/inductor/168096 2025-12-04T08:57:34.5247932Z * [new tag] ciflow/inductor/168114 -> ciflow/inductor/168114 2025-12-04T08:57:34.5248153Z * [new tag] ciflow/inductor/168115 -> ciflow/inductor/168115 2025-12-04T08:57:34.5248668Z * [new tag] ciflow/inductor/168127 -> ciflow/inductor/168127 2025-12-04T08:57:34.5248907Z * [new tag] ciflow/inductor/168129 -> ciflow/inductor/168129 2025-12-04T08:57:34.5249431Z * [new tag] ciflow/inductor/168157 -> ciflow/inductor/168157 2025-12-04T08:57:34.5249751Z * [new tag] ciflow/inductor/168175 -> ciflow/inductor/168175 2025-12-04T08:57:34.5250192Z * [new tag] ciflow/inductor/168185 -> ciflow/inductor/168185 2025-12-04T08:57:34.5250479Z * [new tag] ciflow/inductor/168195 -> ciflow/inductor/168195 2025-12-04T08:57:34.5250977Z * [new tag] ciflow/inductor/168209 -> ciflow/inductor/168209 2025-12-04T08:57:34.5251259Z * [new tag] ciflow/inductor/168266 -> ciflow/inductor/168266 2025-12-04T08:57:34.5251804Z * [new tag] ciflow/inductor/168316 -> ciflow/inductor/168316 2025-12-04T08:57:34.5252080Z * [new tag] ciflow/inductor/168326 -> ciflow/inductor/168326 2025-12-04T08:57:34.5252494Z * [new tag] ciflow/inductor/168368 -> ciflow/inductor/168368 2025-12-04T08:57:34.5252848Z * [new tag] ciflow/inductor/168894 -> ciflow/inductor/168894 2025-12-04T08:57:34.5253449Z * [new tag] ciflow/inductor/168934 -> ciflow/inductor/168934 2025-12-04T08:57:34.5253848Z * [new tag] ciflow/inductor/168939 -> ciflow/inductor/168939 2025-12-04T08:57:34.5254231Z * [new tag] ciflow/inductor/168946 -> ciflow/inductor/168946 2025-12-04T08:57:34.5254590Z * [new tag] ciflow/inductor/168950 -> ciflow/inductor/168950 2025-12-04T08:57:34.5255001Z * [new tag] ciflow/inductor/168951 -> ciflow/inductor/168951 2025-12-04T08:57:34.5255394Z * [new tag] ciflow/inductor/168952 -> ciflow/inductor/168952 2025-12-04T08:57:34.5255753Z * [new tag] ciflow/inductor/168955 -> ciflow/inductor/168955 2025-12-04T08:57:34.5256095Z * [new tag] ciflow/inductor/168971 -> ciflow/inductor/168971 2025-12-04T08:57:34.5256468Z * [new tag] ciflow/inductor/168979 -> ciflow/inductor/168979 2025-12-04T08:57:34.5256814Z * [new tag] ciflow/inductor/168980 -> ciflow/inductor/168980 2025-12-04T08:57:34.5257408Z * [new tag] ciflow/inductor/168983 -> ciflow/inductor/168983 2025-12-04T08:57:34.5257633Z * [new tag] ciflow/inductor/169006 -> ciflow/inductor/169006 2025-12-04T08:57:34.5258183Z * [new tag] ciflow/inductor/169023 -> ciflow/inductor/169023 2025-12-04T08:57:34.5258487Z * [new tag] ciflow/inductor/169024 -> ciflow/inductor/169024 2025-12-04T08:57:34.5258874Z * [new tag] ciflow/inductor/169025 -> ciflow/inductor/169025 2025-12-04T08:57:34.5259229Z * [new tag] ciflow/inductor/169066 -> ciflow/inductor/169066 2025-12-04T08:57:34.5259596Z * [new tag] ciflow/inductor/169091 -> ciflow/inductor/169091 2025-12-04T08:57:34.5260272Z * [new tag] ciflow/inductor/169102 -> ciflow/inductor/169102 2025-12-04T08:57:34.5260481Z * [new tag] ciflow/inductor/169103 -> ciflow/inductor/169103 2025-12-04T08:57:34.5260964Z * [new tag] ciflow/inductor/169121 -> ciflow/inductor/169121 2025-12-04T08:57:34.5261367Z * [new tag] ciflow/inductor/169134 -> ciflow/inductor/169134 2025-12-04T08:57:34.5261856Z * [new tag] ciflow/inductor/169135 -> ciflow/inductor/169135 2025-12-04T08:57:34.5262136Z * [new tag] ciflow/inductor/169141 -> ciflow/inductor/169141 2025-12-04T08:57:34.5262584Z * [new tag] ciflow/inductor/169151 -> ciflow/inductor/169151 2025-12-04T08:57:34.5263118Z * [new tag] ciflow/inductor/169161 -> ciflow/inductor/169161 2025-12-04T08:57:34.5263327Z * [new tag] ciflow/inductor/169167 -> ciflow/inductor/169167 2025-12-04T08:57:34.5264034Z * [new tag] ciflow/inductor/169177 -> ciflow/inductor/169177 2025-12-04T08:57:34.5264401Z * [new tag] ciflow/inductor/169185 -> ciflow/inductor/169185 2025-12-04T08:57:34.5264738Z * [new tag] ciflow/inductor/169196 -> ciflow/inductor/169196 2025-12-04T08:57:34.5265177Z * [new tag] ciflow/inductor/169200 -> ciflow/inductor/169200 2025-12-04T08:57:34.5265553Z * [new tag] ciflow/inductor/169204 -> ciflow/inductor/169204 2025-12-04T08:57:34.5265927Z * [new tag] ciflow/inductor/169216 -> ciflow/inductor/169216 2025-12-04T08:57:34.5266238Z * [new tag] ciflow/inductor/169219 -> ciflow/inductor/169219 2025-12-04T08:57:34.5266657Z * [new tag] ciflow/inductor/169220 -> ciflow/inductor/169220 2025-12-04T08:57:34.5267498Z * [new tag] ciflow/inductor/169230 -> ciflow/inductor/169230 2025-12-04T08:57:34.5267820Z * [new tag] ciflow/inductor/169242 -> ciflow/inductor/169242 2025-12-04T08:57:34.5268228Z * [new tag] ciflow/inductor/169245 -> ciflow/inductor/169245 2025-12-04T08:57:34.5268748Z * [new tag] ciflow/inductor/169260 -> ciflow/inductor/169260 2025-12-04T08:57:34.5268968Z * [new tag] ciflow/inductor/169282 -> ciflow/inductor/169282 2025-12-04T08:57:34.5269484Z * [new tag] ciflow/inductor/169286 -> ciflow/inductor/169286 2025-12-04T08:57:34.5269708Z * [new tag] ciflow/inductor/169299 -> ciflow/inductor/169299 2025-12-04T08:57:34.5270391Z * [new tag] ciflow/inductor/169304 -> ciflow/inductor/169304 2025-12-04T08:57:34.5271044Z * [new tag] ciflow/inductor/169305 -> ciflow/inductor/169305 2025-12-04T08:57:34.5271289Z * [new tag] ciflow/inductor/169308 -> ciflow/inductor/169308 2025-12-04T08:57:34.5271807Z * [new tag] ciflow/inductor/169319 -> ciflow/inductor/169319 2025-12-04T08:57:34.5272090Z * [new tag] ciflow/inductor/169326 -> ciflow/inductor/169326 2025-12-04T08:57:34.5272473Z * [new tag] ciflow/inductor/169332 -> ciflow/inductor/169332 2025-12-04T08:57:34.5272827Z * [new tag] ciflow/inductor/169333 -> ciflow/inductor/169333 2025-12-04T08:57:34.5273396Z * [new tag] ciflow/inductor/169336 -> ciflow/inductor/169336 2025-12-04T08:57:34.5273702Z * [new tag] ciflow/inductor/169340 -> ciflow/inductor/169340 2025-12-04T08:57:34.5274085Z * [new tag] ciflow/inductor/169341 -> ciflow/inductor/169341 2025-12-04T08:57:34.5274419Z * [new tag] ciflow/inductor/169343 -> ciflow/inductor/169343 2025-12-04T08:57:34.5274889Z * [new tag] ciflow/inductor/169346 -> ciflow/inductor/169346 2025-12-04T08:57:34.5275264Z * [new tag] ciflow/inductor/169348 -> ciflow/inductor/169348 2025-12-04T08:57:34.5275837Z * [new tag] ciflow/inductor/169350 -> ciflow/inductor/169350 2025-12-04T08:57:34.5276065Z * [new tag] ciflow/inductor/169355 -> ciflow/inductor/169355 2025-12-04T08:57:34.5276580Z * [new tag] ciflow/inductor/169370 -> ciflow/inductor/169370 2025-12-04T08:57:34.5277185Z * [new tag] ciflow/inductor/169375 -> ciflow/inductor/169375 2025-12-04T08:57:34.5277505Z * [new tag] ciflow/inductor/169389 -> ciflow/inductor/169389 2025-12-04T08:57:34.5277882Z * [new tag] ciflow/inductor/169391 -> ciflow/inductor/169391 2025-12-04T08:57:34.5278228Z * [new tag] ciflow/inductor/169393 -> ciflow/inductor/169393 2025-12-04T08:57:34.5278737Z * [new tag] ciflow/inductor/169399 -> ciflow/inductor/169399 2025-12-04T08:57:34.5279165Z * [new tag] ciflow/inductor/169400 -> ciflow/inductor/169400 2025-12-04T08:57:34.5279507Z * [new tag] ciflow/inductor/169415 -> ciflow/inductor/169415 2025-12-04T08:57:34.5279896Z * [new tag] ciflow/inductor/169417 -> ciflow/inductor/169417 2025-12-04T08:57:34.5280307Z * [new tag] ciflow/inductor/169418 -> ciflow/inductor/169418 2025-12-04T08:57:34.5280876Z * [new tag] ciflow/inductor/169430 -> ciflow/inductor/169430 2025-12-04T08:57:34.5281156Z * [new tag] ciflow/inductor/169432 -> ciflow/inductor/169432 2025-12-04T08:57:34.5281955Z * [new tag] ciflow/inductor/169436 -> ciflow/inductor/169436 2025-12-04T08:57:34.5282310Z * [new tag] ciflow/inductor/169437 -> ciflow/inductor/169437 2025-12-04T08:57:34.5282709Z * [new tag] ciflow/inductor/169438 -> ciflow/inductor/169438 2025-12-04T08:57:34.5283046Z * [new tag] ciflow/inductor/169441 -> ciflow/inductor/169441 2025-12-04T08:57:34.5283418Z * [new tag] ciflow/inductor/169446 -> ciflow/inductor/169446 2025-12-04T08:57:34.5283977Z * [new tag] ciflow/inductor/169447 -> ciflow/inductor/169447 2025-12-04T08:57:34.5284237Z * [new tag] ciflow/inductor/169452 -> ciflow/inductor/169452 2025-12-04T08:57:34.5285004Z * [new tag] ciflow/inductor/169455 -> ciflow/inductor/169455 2025-12-04T08:57:34.5285228Z * [new tag] ciflow/inductor/169459 -> ciflow/inductor/169459 2025-12-04T08:57:34.5285865Z * [new tag] ciflow/inductor/169463 -> ciflow/inductor/169463 2025-12-04T08:57:34.5286264Z * [new tag] ciflow/inductor/169476 -> ciflow/inductor/169476 2025-12-04T08:57:34.5286662Z * [new tag] ciflow/inductor/169485 -> ciflow/inductor/169485 2025-12-04T08:57:34.5287142Z * [new tag] ciflow/inductor/169493 -> ciflow/inductor/169493 2025-12-04T08:57:34.5287404Z * [new tag] ciflow/inductor/169496 -> ciflow/inductor/169496 2025-12-04T08:57:34.5287939Z * [new tag] ciflow/inductor/169497 -> ciflow/inductor/169497 2025-12-04T08:57:34.5288259Z * [new tag] ciflow/inductor/169503 -> ciflow/inductor/169503 2025-12-04T08:57:34.5288632Z * [new tag] ciflow/inductor/169504 -> ciflow/inductor/169504 2025-12-04T08:57:34.5289317Z * [new tag] ciflow/inductor/169505 -> ciflow/inductor/169505 2025-12-04T08:57:34.5289969Z * [new tag] ciflow/inductor/169508 -> ciflow/inductor/169508 2025-12-04T08:57:34.5290260Z * [new tag] ciflow/inductor/169509 -> ciflow/inductor/169509 2025-12-04T08:57:34.5290661Z * [new tag] ciflow/inductor/169513 -> ciflow/inductor/169513 2025-12-04T08:57:34.5291035Z * [new tag] ciflow/inductor/169514 -> ciflow/inductor/169514 2025-12-04T08:57:34.5291735Z * [new tag] ciflow/inductor/169515 -> ciflow/inductor/169515 2025-12-04T08:57:34.5291876Z * [new tag] ciflow/inductor/169517 -> ciflow/inductor/169517 2025-12-04T08:57:34.5292265Z * [new tag] ciflow/inductor/169519 -> ciflow/inductor/169519 2025-12-04T08:57:34.5292642Z * [new tag] ciflow/inductor/169520 -> ciflow/inductor/169520 2025-12-04T08:57:34.5292986Z * [new tag] ciflow/inductor/169521 -> ciflow/inductor/169521 2025-12-04T08:57:34.5293531Z * [new tag] ciflow/inductor/169524 -> ciflow/inductor/169524 2025-12-04T08:57:34.5293779Z * [new tag] ciflow/inductor/169527 -> ciflow/inductor/169527 2025-12-04T08:57:34.5294364Z * [new tag] ciflow/inductor/169528 -> ciflow/inductor/169528 2025-12-04T08:57:34.5295641Z * [new tag] ciflow/inductor/169532 -> ciflow/inductor/169532 2025-12-04T08:57:34.5295882Z * [new tag] ciflow/inductor/169535 -> ciflow/inductor/169535 2025-12-04T08:57:34.5296436Z * [new tag] ciflow/inductor/169536 -> ciflow/inductor/169536 2025-12-04T08:57:34.5296685Z * [new tag] ciflow/inductor/169547 -> ciflow/inductor/169547 2025-12-04T08:57:34.5297282Z * [new tag] ciflow/inductor/169548 -> ciflow/inductor/169548 2025-12-04T08:57:34.5297599Z * [new tag] ciflow/inductor/169549 -> ciflow/inductor/169549 2025-12-04T08:57:34.5297897Z * [new tag] ciflow/inductor/169551 -> ciflow/inductor/169551 2025-12-04T08:57:34.5298422Z * [new tag] ciflow/inductor/169552 -> ciflow/inductor/169552 2025-12-04T08:57:34.5298654Z * [new tag] ciflow/inductor/169553 -> ciflow/inductor/169553 2025-12-04T08:57:34.5299456Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-12-04T08:57:34.5300043Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-12-04T08:57:34.5300616Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-12-04T08:57:34.5301078Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-12-04T08:57:34.5301480Z * [new tag] ciflow/linux-aarch64/166075 -> ciflow/linux-aarch64/166075 2025-12-04T08:57:34.5302090Z * [new tag] ciflow/linux-aarch64/166876 -> ciflow/linux-aarch64/166876 2025-12-04T08:57:34.5302518Z * [new tag] ciflow/linux-aarch64/167981 -> ciflow/linux-aarch64/167981 2025-12-04T08:57:34.5303096Z * [new tag] ciflow/mps/166254 -> ciflow/mps/166254 2025-12-04T08:57:34.5303334Z * [new tag] ciflow/mps/169017 -> ciflow/mps/169017 2025-12-04T08:57:34.5303906Z * [new tag] ciflow/mps/169372 -> ciflow/mps/169372 2025-12-04T08:57:34.5304268Z * [new tag] ciflow/mps/169478 -> ciflow/mps/169478 2025-12-04T08:57:34.5304673Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-12-04T08:57:34.5305085Z * [new tag] ciflow/op-benchmark/166075 -> ciflow/op-benchmark/166075 2025-12-04T08:57:34.5305442Z * [new tag] ciflow/op-benchmark/169544 -> ciflow/op-benchmark/169544 2025-12-04T08:57:34.5306003Z * [new tag] ciflow/periodic-rocm-mi200/165997 -> ciflow/periodic-rocm-mi200/165997 2025-12-04T08:57:34.5306332Z * [new tag] ciflow/periodic-rocm-mi200/166517 -> ciflow/periodic-rocm-mi200/166517 2025-12-04T08:57:34.5306666Z * [new tag] ciflow/periodic-rocm-mi200/169063 -> ciflow/periodic-rocm-mi200/169063 2025-12-04T08:57:34.5307026Z * [new tag] ciflow/periodic-rocm-mi200/169425 -> ciflow/periodic-rocm-mi200/169425 2025-12-04T08:57:34.5307514Z * [new tag] ciflow/periodic-rocm-mi300/166517 -> ciflow/periodic-rocm-mi300/166517 2025-12-04T08:57:34.5307860Z * [new tag] ciflow/periodic-rocm-mi300/169063 -> ciflow/periodic-rocm-mi300/169063 2025-12-04T08:57:34.5308163Z * [new tag] ciflow/periodic-rocm-mi300/169425 -> ciflow/periodic-rocm-mi300/169425 2025-12-04T08:57:34.5308816Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-12-04T08:57:34.5309103Z * [new tag] ciflow/periodic/167207 -> ciflow/periodic/167207 2025-12-04T08:57:34.5309627Z * [new tag] ciflow/periodic/167978 -> ciflow/periodic/167978 2025-12-04T08:57:34.5309871Z * [new tag] ciflow/periodic/168096 -> ciflow/periodic/168096 2025-12-04T08:57:34.5310233Z * [new tag] ciflow/periodic/169286 -> ciflow/periodic/169286 2025-12-04T08:57:34.5310749Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-12-04T08:57:34.5311210Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-12-04T08:57:34.5311671Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-12-04T08:57:34.5312268Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-12-04T08:57:34.5313203Z * [new tag] ciflow/periodic/7c648509a7470ace9fb2bae960dd4790f7e943e9 -> ciflow/periodic/7c648509a7470ace9fb2bae960dd4790f7e943e9 2025-12-04T08:57:34.5313572Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-12-04T08:57:34.5314342Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-12-04T08:57:34.5314753Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-12-04T08:57:34.5315292Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-12-04T08:57:34.5315688Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-12-04T08:57:34.5316468Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-12-04T08:57:34.5317011Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-12-04T08:57:34.5317364Z * [new tag] ciflow/pull/167207 -> ciflow/pull/167207 2025-12-04T08:57:34.5318118Z * [new tag] ciflow/quantization-periodic/169207 -> ciflow/quantization-periodic/169207 2025-12-04T08:57:34.5318425Z * [new tag] ciflow/rocm-mi200/165545 -> ciflow/rocm-mi200/165545 2025-12-04T08:57:34.5318747Z * [new tag] ciflow/rocm-mi200/165997 -> ciflow/rocm-mi200/165997 2025-12-04T08:57:34.5319100Z * [new tag] ciflow/rocm-mi200/168096 -> ciflow/rocm-mi200/168096 2025-12-04T08:57:34.5319633Z * [new tag] ciflow/rocm-mi200/168275 -> ciflow/rocm-mi200/168275 2025-12-04T08:57:34.5319893Z * [new tag] ciflow/rocm-mi200/169063 -> ciflow/rocm-mi200/169063 2025-12-04T08:57:34.5320474Z * [new tag] ciflow/rocm-mi200/169356 -> ciflow/rocm-mi200/169356 2025-12-04T08:57:34.5320763Z * [new tag] ciflow/rocm-mi200/169425 -> ciflow/rocm-mi200/169425 2025-12-04T08:57:34.5321164Z * [new tag] ciflow/rocm-mi300/165545 -> ciflow/rocm-mi300/165545 2025-12-04T08:57:34.5321660Z * [new tag] ciflow/rocm-mi300/167157 -> ciflow/rocm-mi300/167157 2025-12-04T08:57:34.5322013Z * [new tag] ciflow/rocm-mi300/168096 -> ciflow/rocm-mi300/168096 2025-12-04T08:57:34.5322353Z * [new tag] ciflow/rocm-mi300/169063 -> ciflow/rocm-mi300/169063 2025-12-04T08:57:34.5322665Z * [new tag] ciflow/rocm-mi300/169425 -> ciflow/rocm-mi300/169425 2025-12-04T08:57:34.5323133Z * [new tag] ciflow/rocm-mi355/167157 -> ciflow/rocm-mi355/167157 2025-12-04T08:57:34.5323398Z * [new tag] ciflow/rocm-mi355/168275 -> ciflow/rocm-mi355/168275 2025-12-04T08:57:34.5323776Z * [new tag] ciflow/rocm-mi355/169425 -> ciflow/rocm-mi355/169425 2025-12-04T08:57:34.5324412Z * [new tag] ciflow/rocm-navi31/168275 -> ciflow/rocm-navi31/168275 2025-12-04T08:57:34.5324635Z * [new tag] ciflow/rocm-navi31/169425 -> ciflow/rocm-navi31/169425 2025-12-04T08:57:34.5325198Z * [new tag] ciflow/rocm/115316 -> ciflow/rocm/115316 2025-12-04T08:57:34.5325423Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-12-04T08:57:34.5325773Z * [new tag] ciflow/rocm/160685 -> ciflow/rocm/160685 2025-12-04T08:57:34.5326121Z * [new tag] ciflow/rocm/161607 -> ciflow/rocm/161607 2025-12-04T08:57:34.5326466Z * [new tag] ciflow/rocm/162052 -> ciflow/rocm/162052 2025-12-04T08:57:34.5326822Z * [new tag] ciflow/rocm/165997 -> ciflow/rocm/165997 2025-12-04T08:57:34.5327345Z * [new tag] ciflow/rocm/166165 -> ciflow/rocm/166165 2025-12-04T08:57:34.5327581Z * [new tag] ciflow/rocm/166517 -> ciflow/rocm/166517 2025-12-04T08:57:34.5328134Z * [new tag] ciflow/rocm/167207 -> ciflow/rocm/167207 2025-12-04T08:57:34.5328379Z * [new tag] ciflow/rocm/167536 -> ciflow/rocm/167536 2025-12-04T08:57:34.5328757Z * [new tag] ciflow/rocm/167781 -> ciflow/rocm/167781 2025-12-04T08:57:34.5329335Z * [new tag] ciflow/rocm/167989 -> ciflow/rocm/167989 2025-12-04T08:57:34.5329863Z * [new tag] ciflow/rocm/168073 -> ciflow/rocm/168073 2025-12-04T08:57:34.5330192Z * [new tag] ciflow/rocm/168195 -> ciflow/rocm/168195 2025-12-04T08:57:34.5330749Z * [new tag] ciflow/rocm/168939 -> ciflow/rocm/168939 2025-12-04T08:57:34.5330953Z * [new tag] ciflow/rocm/168971 -> ciflow/rocm/168971 2025-12-04T08:57:34.5331457Z * [new tag] ciflow/rocm/169024 -> ciflow/rocm/169024 2025-12-04T08:57:34.5331660Z * [new tag] ciflow/rocm/169200 -> ciflow/rocm/169200 2025-12-04T08:57:34.5332164Z * [new tag] ciflow/rocm/169216 -> ciflow/rocm/169216 2025-12-04T08:57:34.5332377Z * [new tag] ciflow/rocm/169312 -> ciflow/rocm/169312 2025-12-04T08:57:34.5332902Z * [new tag] ciflow/rocm/169380 -> ciflow/rocm/169380 2025-12-04T08:57:34.5333183Z * [new tag] ciflow/rocm/169427 -> ciflow/rocm/169427 2025-12-04T08:57:34.5333524Z * [new tag] ciflow/rocm/169455 -> ciflow/rocm/169455 2025-12-04T08:57:34.5333887Z * [new tag] ciflow/rocm/169470 -> ciflow/rocm/169470 2025-12-04T08:57:34.5334213Z * [new tag] ciflow/rocm/169471 -> ciflow/rocm/169471 2025-12-04T08:57:34.5334615Z * [new tag] ciflow/rocm/169472 -> ciflow/rocm/169472 2025-12-04T08:57:34.5334921Z * [new tag] ciflow/rocm/169514 -> ciflow/rocm/169514 2025-12-04T08:57:34.5335571Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-12-04T08:57:34.5335976Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-12-04T08:57:34.5336741Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-12-04T08:57:34.5336962Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-12-04T08:57:34.5337264Z * [new tag] ciflow/slow/167207 -> ciflow/slow/167207 2025-12-04T08:57:34.5337674Z * [new tag] ciflow/slow/168050 -> ciflow/slow/168050 2025-12-04T08:57:34.5338140Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-12-04T08:57:34.5338718Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-12-04T08:57:34.5339312Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-12-04T08:57:34.5340105Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-12-04T08:57:34.5340667Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-12-04T08:57:34.5341246Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-12-04T08:57:34.5341836Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-12-04T08:57:34.5342295Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-12-04T08:57:34.5343241Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-12-04T08:57:34.5343463Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-12-04T08:57:34.5344110Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-12-04T08:57:34.5344496Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-12-04T08:57:34.5345283Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-12-04T08:57:34.5345662Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-12-04T08:57:34.5346644Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-12-04T08:57:34.5346942Z * [new tag] ciflow/torchbench/168175 -> ciflow/torchbench/168175 2025-12-04T08:57:34.5347862Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-12-04T08:57:34.5348148Z * [new tag] ciflow/trunk/157149 -> ciflow/trunk/157149 2025-12-04T08:57:34.5348533Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-12-04T08:57:34.5348881Z * [new tag] ciflow/trunk/159718 -> ciflow/trunk/159718 2025-12-04T08:57:34.5349229Z * [new tag] ciflow/trunk/160685 -> ciflow/trunk/160685 2025-12-04T08:57:34.5349650Z * [new tag] ciflow/trunk/160729 -> ciflow/trunk/160729 2025-12-04T08:57:34.5349949Z * [new tag] ciflow/trunk/162275 -> ciflow/trunk/162275 2025-12-04T08:57:34.5350347Z * [new tag] ciflow/trunk/162795 -> ciflow/trunk/162795 2025-12-04T08:57:34.5350694Z * [new tag] ciflow/trunk/163245 -> ciflow/trunk/163245 2025-12-04T08:57:34.5351062Z * [new tag] ciflow/trunk/163942 -> ciflow/trunk/163942 2025-12-04T08:57:34.5351338Z * [new tag] ciflow/trunk/165274 -> ciflow/trunk/165274 2025-12-04T08:57:34.5352057Z * [new tag] ciflow/trunk/165483 -> ciflow/trunk/165483 2025-12-04T08:57:34.5352457Z * [new tag] ciflow/trunk/165728 -> ciflow/trunk/165728 2025-12-04T08:57:34.5353016Z * [new tag] ciflow/trunk/165922 -> ciflow/trunk/165922 2025-12-04T08:57:34.5353236Z * [new tag] ciflow/trunk/166075 -> ciflow/trunk/166075 2025-12-04T08:57:34.5353745Z * [new tag] ciflow/trunk/166165 -> ciflow/trunk/166165 2025-12-04T08:57:34.5353992Z * [new tag] ciflow/trunk/166829 -> ciflow/trunk/166829 2025-12-04T08:57:34.5354572Z * [new tag] ciflow/trunk/166843 -> ciflow/trunk/166843 2025-12-04T08:57:34.5354812Z * [new tag] ciflow/trunk/166876 -> ciflow/trunk/166876 2025-12-04T08:57:34.5355323Z * [new tag] ciflow/trunk/167207 -> ciflow/trunk/167207 2025-12-04T08:57:34.5355616Z * [new tag] ciflow/trunk/167536 -> ciflow/trunk/167536 2025-12-04T08:57:34.5356144Z * [new tag] ciflow/trunk/167552 -> ciflow/trunk/167552 2025-12-04T08:57:34.5356405Z * [new tag] ciflow/trunk/167555 -> ciflow/trunk/167555 2025-12-04T08:57:34.5356752Z * [new tag] ciflow/trunk/167599 -> ciflow/trunk/167599 2025-12-04T08:57:34.5357117Z * [new tag] ciflow/trunk/167659 -> ciflow/trunk/167659 2025-12-04T08:57:34.5357606Z * [new tag] ciflow/trunk/167672 -> ciflow/trunk/167672 2025-12-04T08:57:34.5357951Z * [new tag] ciflow/trunk/167742 -> ciflow/trunk/167742 2025-12-04T08:57:34.5358342Z * [new tag] ciflow/trunk/167781 -> ciflow/trunk/167781 2025-12-04T08:57:34.5358912Z * [new tag] ciflow/trunk/167837 -> ciflow/trunk/167837 2025-12-04T08:57:34.5359205Z * [new tag] ciflow/trunk/167887 -> ciflow/trunk/167887 2025-12-04T08:57:34.5359831Z * [new tag] ciflow/trunk/167978 -> ciflow/trunk/167978 2025-12-04T08:57:34.5360003Z * [new tag] ciflow/trunk/168050 -> ciflow/trunk/168050 2025-12-04T08:57:34.5360341Z * [new tag] ciflow/trunk/168051 -> ciflow/trunk/168051 2025-12-04T08:57:34.5360770Z * [new tag] ciflow/trunk/168096 -> ciflow/trunk/168096 2025-12-04T08:57:34.5361042Z * [new tag] ciflow/trunk/168127 -> ciflow/trunk/168127 2025-12-04T08:57:34.5361422Z * [new tag] ciflow/trunk/168157 -> ciflow/trunk/168157 2025-12-04T08:57:34.5361780Z * [new tag] ciflow/trunk/168175 -> ciflow/trunk/168175 2025-12-04T08:57:34.5362154Z * [new tag] ciflow/trunk/168209 -> ciflow/trunk/168209 2025-12-04T08:57:34.5362640Z * [new tag] ciflow/trunk/168213 -> ciflow/trunk/168213 2025-12-04T08:57:34.5363030Z * [new tag] ciflow/trunk/168226 -> ciflow/trunk/168226 2025-12-04T08:57:34.5363407Z * [new tag] ciflow/trunk/168262 -> ciflow/trunk/168262 2025-12-04T08:57:34.5363780Z * [new tag] ciflow/trunk/168275 -> ciflow/trunk/168275 2025-12-04T08:57:34.5364239Z * [new tag] ciflow/trunk/168328 -> ciflow/trunk/168328 2025-12-04T08:57:34.5364592Z * [new tag] ciflow/trunk/168368 -> ciflow/trunk/168368 2025-12-04T08:57:34.5364977Z * [new tag] ciflow/trunk/168917 -> ciflow/trunk/168917 2025-12-04T08:57:34.5365369Z * [new tag] ciflow/trunk/168933 -> ciflow/trunk/168933 2025-12-04T08:57:34.5365893Z * [new tag] ciflow/trunk/168941 -> ciflow/trunk/168941 2025-12-04T08:57:34.5366247Z * [new tag] ciflow/trunk/168955 -> ciflow/trunk/168955 2025-12-04T08:57:34.5366631Z * [new tag] ciflow/trunk/168980 -> ciflow/trunk/168980 2025-12-04T08:57:34.5367142Z * [new tag] ciflow/trunk/169004 -> ciflow/trunk/169004 2025-12-04T08:57:34.5367469Z * [new tag] ciflow/trunk/169006 -> ciflow/trunk/169006 2025-12-04T08:57:34.5367841Z * [new tag] ciflow/trunk/169023 -> ciflow/trunk/169023 2025-12-04T08:57:34.5368396Z * [new tag] ciflow/trunk/169025 -> ciflow/trunk/169025 2025-12-04T08:57:34.5368629Z * [new tag] ciflow/trunk/169048 -> ciflow/trunk/169048 2025-12-04T08:57:34.5369150Z * [new tag] ciflow/trunk/169066 -> ciflow/trunk/169066 2025-12-04T08:57:34.5369477Z * [new tag] ciflow/trunk/169091 -> ciflow/trunk/169091 2025-12-04T08:57:34.5369826Z * [new tag] ciflow/trunk/169102 -> ciflow/trunk/169102 2025-12-04T08:57:34.5370167Z * [new tag] ciflow/trunk/169103 -> ciflow/trunk/169103 2025-12-04T08:57:34.5370659Z * [new tag] ciflow/trunk/169125 -> ciflow/trunk/169125 2025-12-04T08:57:34.5371224Z * [new tag] ciflow/trunk/169139 -> ciflow/trunk/169139 2025-12-04T08:57:34.5371591Z * [new tag] ciflow/trunk/169148 -> ciflow/trunk/169148 2025-12-04T08:57:34.5371996Z * [new tag] ciflow/trunk/169151 -> ciflow/trunk/169151 2025-12-04T08:57:34.5372391Z * [new tag] ciflow/trunk/169156 -> ciflow/trunk/169156 2025-12-04T08:57:34.5372817Z * [new tag] ciflow/trunk/169176 -> ciflow/trunk/169176 2025-12-04T08:57:34.5373553Z * [new tag] ciflow/trunk/169204 -> ciflow/trunk/169204 2025-12-04T08:57:34.5373857Z * [new tag] ciflow/trunk/169207 -> ciflow/trunk/169207 2025-12-04T08:57:34.5374247Z * [new tag] ciflow/trunk/169211 -> ciflow/trunk/169211 2025-12-04T08:57:34.5374724Z * [new tag] ciflow/trunk/169229 -> ciflow/trunk/169229 2025-12-04T08:57:34.5375304Z * [new tag] ciflow/trunk/169231 -> ciflow/trunk/169231 2025-12-04T08:57:34.5375589Z * [new tag] ciflow/trunk/169260 -> ciflow/trunk/169260 2025-12-04T08:57:34.5376290Z * [new tag] ciflow/trunk/169271 -> ciflow/trunk/169271 2025-12-04T08:57:34.5376619Z * [new tag] ciflow/trunk/169280 -> ciflow/trunk/169280 2025-12-04T08:57:34.5376936Z * [new tag] ciflow/trunk/169281 -> ciflow/trunk/169281 2025-12-04T08:57:34.5377280Z * [new tag] ciflow/trunk/169286 -> ciflow/trunk/169286 2025-12-04T08:57:34.5377883Z * [new tag] ciflow/trunk/169293 -> ciflow/trunk/169293 2025-12-04T08:57:34.5378115Z * [new tag] ciflow/trunk/169296 -> ciflow/trunk/169296 2025-12-04T08:57:34.5378620Z * [new tag] ciflow/trunk/169304 -> ciflow/trunk/169304 2025-12-04T08:57:34.5378887Z * [new tag] ciflow/trunk/169305 -> ciflow/trunk/169305 2025-12-04T08:57:34.5379265Z * [new tag] ciflow/trunk/169312 -> ciflow/trunk/169312 2025-12-04T08:57:34.5379862Z * [new tag] ciflow/trunk/169328 -> ciflow/trunk/169328 2025-12-04T08:57:34.5380329Z * [new tag] ciflow/trunk/169343 -> ciflow/trunk/169343 2025-12-04T08:57:34.5380671Z * [new tag] ciflow/trunk/169355 -> ciflow/trunk/169355 2025-12-04T08:57:34.5381063Z * [new tag] ciflow/trunk/169370 -> ciflow/trunk/169370 2025-12-04T08:57:34.5381668Z * [new tag] ciflow/trunk/169379 -> ciflow/trunk/169379 2025-12-04T08:57:34.5382148Z * [new tag] ciflow/trunk/169380 -> ciflow/trunk/169380 2025-12-04T08:57:34.5382459Z * [new tag] ciflow/trunk/169385 -> ciflow/trunk/169385 2025-12-04T08:57:34.5383055Z * [new tag] ciflow/trunk/169387 -> ciflow/trunk/169387 2025-12-04T08:57:34.5383365Z * [new tag] ciflow/trunk/169410 -> ciflow/trunk/169410 2025-12-04T08:57:34.5383802Z * [new tag] ciflow/trunk/169412 -> ciflow/trunk/169412 2025-12-04T08:57:34.5384246Z * [new tag] ciflow/trunk/169418 -> ciflow/trunk/169418 2025-12-04T08:57:34.5384678Z * [new tag] ciflow/trunk/169423 -> ciflow/trunk/169423 2025-12-04T08:57:34.5385105Z * [new tag] ciflow/trunk/169427 -> ciflow/trunk/169427 2025-12-04T08:57:34.5385538Z * [new tag] ciflow/trunk/169430 -> ciflow/trunk/169430 2025-12-04T08:57:34.5385975Z * [new tag] ciflow/trunk/169437 -> ciflow/trunk/169437 2025-12-04T08:57:34.5386407Z * [new tag] ciflow/trunk/169442 -> ciflow/trunk/169442 2025-12-04T08:57:34.5386848Z * [new tag] ciflow/trunk/169452 -> ciflow/trunk/169452 2025-12-04T08:57:34.5387270Z * [new tag] ciflow/trunk/169454 -> ciflow/trunk/169454 2025-12-04T08:57:34.5387708Z * [new tag] ciflow/trunk/169459 -> ciflow/trunk/169459 2025-12-04T08:57:34.5388172Z * [new tag] ciflow/trunk/169474 -> ciflow/trunk/169474 2025-12-04T08:57:34.5388534Z * [new tag] ciflow/trunk/169475 -> ciflow/trunk/169475 2025-12-04T08:57:34.5388895Z * [new tag] ciflow/trunk/169476 -> ciflow/trunk/169476 2025-12-04T08:57:34.5389452Z * [new tag] ciflow/trunk/169487 -> ciflow/trunk/169487 2025-12-04T08:57:34.5389712Z * [new tag] ciflow/trunk/169497 -> ciflow/trunk/169497 2025-12-04T08:57:34.5390244Z * [new tag] ciflow/trunk/169503 -> ciflow/trunk/169503 2025-12-04T08:57:34.5390523Z * [new tag] ciflow/trunk/169505 -> ciflow/trunk/169505 2025-12-04T08:57:34.5391022Z * [new tag] ciflow/trunk/169507 -> ciflow/trunk/169507 2025-12-04T08:57:34.5391245Z * [new tag] ciflow/trunk/169514 -> ciflow/trunk/169514 2025-12-04T08:57:34.5391743Z * [new tag] ciflow/trunk/169517 -> ciflow/trunk/169517 2025-12-04T08:57:34.5392110Z * [new tag] ciflow/trunk/169519 -> ciflow/trunk/169519 2025-12-04T08:57:34.5392380Z * [new tag] ciflow/trunk/169528 -> ciflow/trunk/169528 2025-12-04T08:57:34.5392716Z * [new tag] ciflow/trunk/169541 -> ciflow/trunk/169541 2025-12-04T08:57:34.5393210Z * [new tag] ciflow/trunk/169555 -> ciflow/trunk/169555 2025-12-04T08:57:34.5393907Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-12-04T08:57:34.5394321Z * [new tag] ciflow/vllm/165270 -> ciflow/vllm/165270 2025-12-04T08:57:34.5394762Z * [new tag] ciflow/vllm/165274 -> ciflow/vllm/165274 2025-12-04T08:57:34.5395081Z * [new tag] ciflow/vllm/166494 -> ciflow/vllm/166494 2025-12-04T08:57:34.5395461Z * [new tag] ciflow/vllm/169219 -> ciflow/vllm/169219 2025-12-04T08:57:34.5395778Z * [new tag] ciflow/vllm/169220 -> ciflow/vllm/169220 2025-12-04T08:57:34.5396703Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-12-04T08:57:34.5396978Z * [new tag] ciflow/xpu/159718 -> ciflow/xpu/159718 2025-12-04T08:57:34.5397358Z * [new tag] ciflow/xpu/161940 -> ciflow/xpu/161940 2025-12-04T08:57:34.5397703Z * [new tag] ciflow/xpu/163251 -> ciflow/xpu/163251 2025-12-04T08:57:34.5398143Z * [new tag] ciflow/xpu/166829 -> ciflow/xpu/166829 2025-12-04T08:57:34.5398389Z * [new tag] ciflow/xpu/166843 -> ciflow/xpu/166843 2025-12-04T08:57:34.5398906Z * [new tag] ciflow/xpu/167972 -> ciflow/xpu/167972 2025-12-04T08:57:34.5399154Z * [new tag] ciflow/xpu/167981 -> ciflow/xpu/167981 2025-12-04T08:57:34.5399519Z * [new tag] ciflow/xpu/168213 -> ciflow/xpu/168213 2025-12-04T08:57:34.5399859Z * [new tag] ciflow/xpu/168262 -> ciflow/xpu/168262 2025-12-04T08:57:34.5400231Z * [new tag] ciflow/xpu/168328 -> ciflow/xpu/168328 2025-12-04T08:57:34.5400779Z * [new tag] ciflow/xpu/168950 -> ciflow/xpu/168950 2025-12-04T08:57:34.5401380Z * [new tag] ciflow/xpu/169039 -> ciflow/xpu/169039 2025-12-04T08:57:34.5401685Z * [new tag] ciflow/xpu/169200 -> ciflow/xpu/169200 2025-12-04T08:57:34.5402495Z * [new tag] ciflow/xpu/169203 -> ciflow/xpu/169203 2025-12-04T08:57:34.5402737Z * [new tag] ciflow/xpu/169229 -> ciflow/xpu/169229 2025-12-04T08:57:34.5403258Z * [new tag] ciflow/xpu/169230 -> ciflow/xpu/169230 2025-12-04T08:57:34.5403593Z * [new tag] ciflow/xpu/169231 -> ciflow/xpu/169231 2025-12-04T08:57:34.5404024Z * [new tag] ciflow/xpu/169241 -> ciflow/xpu/169241 2025-12-04T08:57:34.5404348Z * [new tag] ciflow/xpu/169280 -> ciflow/xpu/169280 2025-12-04T08:57:34.5404721Z * [new tag] ciflow/xpu/169296 -> ciflow/xpu/169296 2025-12-04T08:57:34.5405224Z * [new tag] ciflow/xpu/169353 -> ciflow/xpu/169353 2025-12-04T08:57:34.5405539Z * [new tag] ciflow/xpu/169410 -> ciflow/xpu/169410 2025-12-04T08:57:34.5405930Z * [new tag] ciflow/xpu/169442 -> ciflow/xpu/169442 2025-12-04T08:57:34.5406296Z * [new tag] ciflow/xpu/169555 -> ciflow/xpu/169555 2025-12-04T08:57:34.5406926Z * [new tag] cslpull75 -> cslpull75 2025-12-04T08:57:34.5407374Z * [new tag] cslpull76 -> cslpull76 2025-12-04T08:57:34.5407900Z * [new tag] cslpull77 -> cslpull77 2025-12-04T08:57:34.5408279Z * [new tag] cslpull78 -> cslpull78 2025-12-04T08:57:34.5409213Z * [new tag] cslpull79 -> cslpull79 2025-12-04T08:57:34.5409572Z * [new tag] cslpull80 -> cslpull80 2025-12-04T08:57:34.5410175Z * [new tag] cslpull81 -> cslpull81 2025-12-04T08:57:34.5410537Z * [new tag] cslpull82 -> cslpull82 2025-12-04T08:57:34.5411135Z * [new tag] cslpull83 -> cslpull83 2025-12-04T08:57:34.5411449Z * [new tag] cslpull84 -> cslpull84 2025-12-04T08:57:34.5411884Z * [new tag] cslpull85 -> cslpull85 2025-12-04T08:57:34.5412576Z * [new tag] cslpull86 -> cslpull86 2025-12-04T08:57:34.5412850Z * [new tag] cslpull87 -> cslpull87 2025-12-04T08:57:34.5413346Z * [new tag] cslpull88 -> cslpull88 2025-12-04T08:57:34.5413754Z * [new tag] cslpull89 -> cslpull89 2025-12-04T08:57:34.5414093Z * [new tag] cslpull90 -> cslpull90 2025-12-04T08:57:34.5414980Z * [new tag] cslpull91 -> cslpull91 2025-12-04T08:57:34.5415269Z * [new tag] cslpull92 -> cslpull92 2025-12-04T08:57:34.5415881Z * [new tag] flight_5 -> flight_5 2025-12-04T08:57:34.5416467Z * [new tag] flight_5.1 -> flight_5.1 2025-12-04T08:57:34.5416811Z * [new tag] flight_5.2 -> flight_5.2 2025-12-04T08:57:34.5417424Z * [new tag] flight_5.3 -> flight_5.3 2025-12-04T08:57:34.5417781Z * [new tag] forpull1 -> forpull1 2025-12-04T08:57:34.5418500Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-12-04T08:57:34.5418873Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-12-04T08:57:34.5419426Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-12-04T08:57:34.5420314Z * [new tag] nightly-binary -> nightly-binary 2025-12-04T08:57:34.5420673Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-12-04T08:57:34.5421454Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-12-04T08:57:34.5422290Z * [new tag] trunk/02d8bd6974cf84b721680d773dbdb1b6f40ce272 -> trunk/02d8bd6974cf84b721680d773dbdb1b6f40ce272 2025-12-04T08:57:34.5422790Z * [new tag] trunk/066997fb38ade71e00d78e9d572e380b5f02bd3e -> trunk/066997fb38ade71e00d78e9d572e380b5f02bd3e 2025-12-04T08:57:34.5423463Z * [new tag] trunk/076e7b19fa1d481ad778d06d2b49ba57d3ce8c88 -> trunk/076e7b19fa1d481ad778d06d2b49ba57d3ce8c88 2025-12-04T08:57:34.5423982Z * [new tag] trunk/07dcc0b83db3211653a38565a24e15acdba75654 -> trunk/07dcc0b83db3211653a38565a24e15acdba75654 2025-12-04T08:57:34.5424452Z * [new tag] trunk/082e96b68dfcd16cab7cfafc4d3d055767dab3eb -> trunk/082e96b68dfcd16cab7cfafc4d3d055767dab3eb 2025-12-04T08:57:34.5424915Z * [new tag] trunk/088048f2fea28ff7d450f65c72419ca45780d30b -> trunk/088048f2fea28ff7d450f65c72419ca45780d30b 2025-12-04T08:57:34.5425371Z * [new tag] trunk/09076941a95c76f4d9ad189d064dfd8baa39e672 -> trunk/09076941a95c76f4d9ad189d064dfd8baa39e672 2025-12-04T08:57:34.5426045Z * [new tag] trunk/0b80a4c62b94402844bf221791c096b0035c6d75 -> trunk/0b80a4c62b94402844bf221791c096b0035c6d75 2025-12-04T08:57:34.5426446Z * [new tag] trunk/0bbbdf1750567a980634ad907a325357ba8ba8f2 -> trunk/0bbbdf1750567a980634ad907a325357ba8ba8f2 2025-12-04T08:57:34.5426946Z * [new tag] trunk/0c281dd78773b2bc17c58ead0e4cd4ac46e775c5 -> trunk/0c281dd78773b2bc17c58ead0e4cd4ac46e775c5 2025-12-04T08:57:34.5427458Z * [new tag] trunk/135f3753c418a6879b1954904184937b67e61688 -> trunk/135f3753c418a6879b1954904184937b67e61688 2025-12-04T08:57:34.5428349Z * [new tag] trunk/15da21026cb13cd20257dc9e96830db108743c10 -> trunk/15da21026cb13cd20257dc9e96830db108743c10 2025-12-04T08:57:34.5428719Z * [new tag] trunk/166efdad2ac827f30fb02504c6017520257f88ec -> trunk/166efdad2ac827f30fb02504c6017520257f88ec 2025-12-04T08:57:34.5429199Z * [new tag] trunk/174272c15fae553d8488140af931f7d8050a313f -> trunk/174272c15fae553d8488140af931f7d8050a313f 2025-12-04T08:57:34.5429941Z * [new tag] trunk/18f3ca08f13b8de61307f5e8cd7d4cccb67e9d11 -> trunk/18f3ca08f13b8de61307f5e8cd7d4cccb67e9d11 2025-12-04T08:57:34.5430382Z * [new tag] trunk/1902eddfe655a15ebcf2c72bd81ade110fdeef63 -> trunk/1902eddfe655a15ebcf2c72bd81ade110fdeef63 2025-12-04T08:57:34.5430836Z * [new tag] trunk/195f92e98d3d66738577f11f22c4b5c8a1c76dd5 -> trunk/195f92e98d3d66738577f11f22c4b5c8a1c76dd5 2025-12-04T08:57:34.5431309Z * [new tag] trunk/1aa13e17de39e3c768ea7aebaad166ce72a06676 -> trunk/1aa13e17de39e3c768ea7aebaad166ce72a06676 2025-12-04T08:57:34.5431790Z * [new tag] trunk/1afe2832f58e24e54a5bfda5a5afa9b96fdea40e -> trunk/1afe2832f58e24e54a5bfda5a5afa9b96fdea40e 2025-12-04T08:57:34.5432221Z * [new tag] trunk/1c87554d74140eaee964ca8b1832cede67f5f520 -> trunk/1c87554d74140eaee964ca8b1832cede67f5f520 2025-12-04T08:57:34.5432722Z * [new tag] trunk/1ccb743b7b5be955f49736c162c4f5004b8a0dd8 -> trunk/1ccb743b7b5be955f49736c162c4f5004b8a0dd8 2025-12-04T08:57:34.5433337Z * [new tag] trunk/1cee47d6ce0a02227185b566593f002dd639ca0c -> trunk/1cee47d6ce0a02227185b566593f002dd639ca0c 2025-12-04T08:57:34.5433568Z * [new tag] trunk/1d21b4df2babe322e5d085ceb6de884eb260a62d -> trunk/1d21b4df2babe322e5d085ceb6de884eb260a62d 2025-12-04T08:57:34.5434083Z * [new tag] trunk/1e34fb2550e4aa650314f7a6d9f6daf4da7478a8 -> trunk/1e34fb2550e4aa650314f7a6d9f6daf4da7478a8 2025-12-04T08:57:34.5434584Z * [new tag] trunk/1e526fb5b1d93bfc70691c5c3955fdffc1b7b7de -> trunk/1e526fb5b1d93bfc70691c5c3955fdffc1b7b7de 2025-12-04T08:57:34.5435070Z * [new tag] trunk/1ee32a8b1f554a312d79bad01ded24f38cd95543 -> trunk/1ee32a8b1f554a312d79bad01ded24f38cd95543 2025-12-04T08:57:34.5435509Z * [new tag] trunk/201e2c4117eb9744594dad6a5c18213d7b4705d7 -> trunk/201e2c4117eb9744594dad6a5c18213d7b4705d7 2025-12-04T08:57:34.5437899Z * [new tag] trunk/2353a0f60eb4b4cb6675907a7fa9fbedc1c02e7f -> trunk/2353a0f60eb4b4cb6675907a7fa9fbedc1c02e7f 2025-12-04T08:57:34.5438106Z * [new tag] trunk/285779b1621cf9f073a062b0889a642d200308d9 -> trunk/285779b1621cf9f073a062b0889a642d200308d9 2025-12-04T08:57:34.5438391Z * [new tag] trunk/2887faaec6295d081580d09fce161201826c6d87 -> trunk/2887faaec6295d081580d09fce161201826c6d87 2025-12-04T08:57:34.5438640Z * [new tag] trunk/296e67c92635443c67b11c0ae1bd045f03ebb7bc -> trunk/296e67c92635443c67b11c0ae1bd045f03ebb7bc 2025-12-04T08:57:34.5438891Z * [new tag] trunk/29856679769b3dede478767e2fe6cfb51197cb25 -> trunk/29856679769b3dede478767e2fe6cfb51197cb25 2025-12-04T08:57:34.5439292Z * [new tag] trunk/29e5455a4740c326ab187c7aa7b5ef98034ea563 -> trunk/29e5455a4740c326ab187c7aa7b5ef98034ea563 2025-12-04T08:57:34.5439530Z * [new tag] trunk/2ac3ef882afb23136adc188975f0a8802fc68adf -> trunk/2ac3ef882afb23136adc188975f0a8802fc68adf 2025-12-04T08:57:34.5439760Z * [new tag] trunk/2bec68e73b64715354af076ad309335f943e36cd -> trunk/2bec68e73b64715354af076ad309335f943e36cd 2025-12-04T08:57:34.5440396Z * [new tag] trunk/2c87367e6f88662cd5cedbd1537748b7948c38e1 -> trunk/2c87367e6f88662cd5cedbd1537748b7948c38e1 2025-12-04T08:57:34.5440810Z * [new tag] trunk/2d1f78fe3ec13820f136a2e0336da12a25f41708 -> trunk/2d1f78fe3ec13820f136a2e0336da12a25f41708 2025-12-04T08:57:34.5441305Z * [new tag] trunk/2df6058f116a65722a0e03073402feb242572d35 -> trunk/2df6058f116a65722a0e03073402feb242572d35 2025-12-04T08:57:34.5441792Z * [new tag] trunk/2e0c2e170fe658c440775c8e5c44228aafcc47ec -> trunk/2e0c2e170fe658c440775c8e5c44228aafcc47ec 2025-12-04T08:57:34.5442252Z * [new tag] trunk/2f9b7dad7b5419b063bd0f2e204de192720ebb94 -> trunk/2f9b7dad7b5419b063bd0f2e204de192720ebb94 2025-12-04T08:57:34.5442729Z * [new tag] trunk/305168768a95d69c444df5cd334bb774edfe06f1 -> trunk/305168768a95d69c444df5cd334bb774edfe06f1 2025-12-04T08:57:34.5443191Z * [new tag] trunk/31fc12773026e8e00f054dd79ad9b2491e693b48 -> trunk/31fc12773026e8e00f054dd79ad9b2491e693b48 2025-12-04T08:57:34.5443635Z * [new tag] trunk/320de0c6b0a3e7c6d2693ea5c28d5d0156ba7991 -> trunk/320de0c6b0a3e7c6d2693ea5c28d5d0156ba7991 2025-12-04T08:57:34.5444120Z * [new tag] trunk/3418bd29475dff06695045fcdf93e7d0dac67da8 -> trunk/3418bd29475dff06695045fcdf93e7d0dac67da8 2025-12-04T08:57:34.5444558Z * [new tag] trunk/34a98608afa0cb5b48f0d6d30432fdd0a2614ddf -> trunk/34a98608afa0cb5b48f0d6d30432fdd0a2614ddf 2025-12-04T08:57:34.5445029Z * [new tag] trunk/35b7a9a26c5923d98aebaa41a031dae21788a9ee -> trunk/35b7a9a26c5923d98aebaa41a031dae21788a9ee 2025-12-04T08:57:34.5445536Z * [new tag] trunk/39d07dbf03a911bdd45d1af78d8638dc92074938 -> trunk/39d07dbf03a911bdd45d1af78d8638dc92074938 2025-12-04T08:57:34.5445851Z * [new tag] trunk/3cd98b4205ada151042cc7ff097a82d4a4b18725 -> trunk/3cd98b4205ada151042cc7ff097a82d4a4b18725 2025-12-04T08:57:34.5446342Z * [new tag] trunk/3d35fd20a78ff4d016fa80f4e5fad37191d7bcae -> trunk/3d35fd20a78ff4d016fa80f4e5fad37191d7bcae 2025-12-04T08:57:34.5447004Z * [new tag] trunk/409a5fee945c46a3edaf5df162812f201bfd7b2f -> trunk/409a5fee945c46a3edaf5df162812f201bfd7b2f 2025-12-04T08:57:34.5447345Z * [new tag] trunk/42e9005cda22da3f1c559c3649218cebd671027c -> trunk/42e9005cda22da3f1c559c3649218cebd671027c 2025-12-04T08:57:34.5448001Z * [new tag] trunk/43b94713bbf340d3c124fde02d0f73add4021247 -> trunk/43b94713bbf340d3c124fde02d0f73add4021247 2025-12-04T08:57:34.5448313Z * [new tag] trunk/44ac69388a4a5eb463dbd2a13f00d1e3b924566c -> trunk/44ac69388a4a5eb463dbd2a13f00d1e3b924566c 2025-12-04T08:57:34.5448786Z * [new tag] trunk/45d14e2497292be06ad36eaa1aaaf7c630a2586a -> trunk/45d14e2497292be06ad36eaa1aaaf7c630a2586a 2025-12-04T08:57:34.5449159Z * [new tag] trunk/45d310ad84854dff730c0b12e577d7998d978686 -> trunk/45d310ad84854dff730c0b12e577d7998d978686 2025-12-04T08:57:34.5449953Z * [new tag] trunk/47b28ddf7bd74b50fa93b307a7d3b183a6d77f54 -> trunk/47b28ddf7bd74b50fa93b307a7d3b183a6d77f54 2025-12-04T08:57:34.5450194Z * [new tag] trunk/481e5ab336275bd3acd5fa8a611b05b4469012af -> trunk/481e5ab336275bd3acd5fa8a611b05b4469012af 2025-12-04T08:57:34.5450831Z * [new tag] trunk/491731647f6b8a9345dcfb3bc9416aea254a7d96 -> trunk/491731647f6b8a9345dcfb3bc9416aea254a7d96 2025-12-04T08:57:34.5451215Z * [new tag] trunk/49a04d26088acc17d948ddd66920f3e16371e873 -> trunk/49a04d26088acc17d948ddd66920f3e16371e873 2025-12-04T08:57:34.5451710Z * [new tag] trunk/4bebc827c47d2f1f0fa1a417a5201a97aef3d985 -> trunk/4bebc827c47d2f1f0fa1a417a5201a97aef3d985 2025-12-04T08:57:34.5452060Z * [new tag] trunk/4c246677784c6a14bc2dbb9ff8773ef0a3a3222f -> trunk/4c246677784c6a14bc2dbb9ff8773ef0a3a3222f 2025-12-04T08:57:34.5452716Z * [new tag] trunk/4cfb47ff548b6d996641058cf04a70e311a4c3aa -> trunk/4cfb47ff548b6d996641058cf04a70e311a4c3aa 2025-12-04T08:57:34.5453042Z * [new tag] trunk/4e0061c1aa52f606dda8cfab0bd7591e588faf2c -> trunk/4e0061c1aa52f606dda8cfab0bd7591e588faf2c 2025-12-04T08:57:34.5454056Z * [new tag] trunk/4fefb8e7e942386ffac764a41b232241f82bea3a -> trunk/4fefb8e7e942386ffac764a41b232241f82bea3a 2025-12-04T08:57:34.5454345Z * [new tag] trunk/503b2640023521f5a35cd9a52fc8033d73a95d0d -> trunk/503b2640023521f5a35cd9a52fc8033d73a95d0d 2025-12-04T08:57:34.5454977Z * [new tag] trunk/518c2b1b3dab9a2ef2849e04b3bc2f20c1c41db9 -> trunk/518c2b1b3dab9a2ef2849e04b3bc2f20c1c41db9 2025-12-04T08:57:34.5455358Z * [new tag] trunk/5191b2fa68ba19960912bfd7fd721c79d76bb1f3 -> trunk/5191b2fa68ba19960912bfd7fd721c79d76bb1f3 2025-12-04T08:57:34.5456057Z * [new tag] trunk/52ac0f0dc4acacd219f1317fbc28ec631c01e07a -> trunk/52ac0f0dc4acacd219f1317fbc28ec631c01e07a 2025-12-04T08:57:34.5456484Z * [new tag] trunk/539ba711b029de9f191070f4f0d12f18f5b7f292 -> trunk/539ba711b029de9f191070f4f0d12f18f5b7f292 2025-12-04T08:57:34.5456943Z * [new tag] trunk/556375b55deebebbc56cb7aef81f4d52f031ba28 -> trunk/556375b55deebebbc56cb7aef81f4d52f031ba28 2025-12-04T08:57:34.5457589Z * [new tag] trunk/55c4ab554845481d0a69a3811937575fe8bb1a66 -> trunk/55c4ab554845481d0a69a3811937575fe8bb1a66 2025-12-04T08:57:34.5457935Z * [new tag] trunk/5634469fda9e5d98869c82c7d03bb08914245f96 -> trunk/5634469fda9e5d98869c82c7d03bb08914245f96 2025-12-04T08:57:34.5458328Z * [new tag] trunk/5778f6ff894686a975a9a23645178ae4c87ad5dc -> trunk/5778f6ff894686a975a9a23645178ae4c87ad5dc 2025-12-04T08:57:34.5458834Z * [new tag] trunk/587d63a3e07de5dc91065f9ef70bcacda9989068 -> trunk/587d63a3e07de5dc91065f9ef70bcacda9989068 2025-12-04T08:57:34.5459293Z * [new tag] trunk/597930f6b568852356ca9795dac76f9e4653adbd -> trunk/597930f6b568852356ca9795dac76f9e4653adbd 2025-12-04T08:57:34.5460281Z * [new tag] trunk/597df3a4e2a67b9fdbe1a89b2f4d74f822274db6 -> trunk/597df3a4e2a67b9fdbe1a89b2f4d74f822274db6 2025-12-04T08:57:34.5460947Z * [new tag] trunk/59abd50e931f4efb21b053f7a2911f5d8a49d883 -> trunk/59abd50e931f4efb21b053f7a2911f5d8a49d883 2025-12-04T08:57:34.5461344Z * [new tag] trunk/5a607febc04c3a2b5824c75f3f60307867439a2c -> trunk/5a607febc04c3a2b5824c75f3f60307867439a2c 2025-12-04T08:57:34.5461982Z * [new tag] trunk/5bf1cdf4755c54ef462b44cb8041b0a57311556b -> trunk/5bf1cdf4755c54ef462b44cb8041b0a57311556b 2025-12-04T08:57:34.5462354Z * [new tag] trunk/5f0030ba63d334d7e8c93a09e41403b89e4c573c -> trunk/5f0030ba63d334d7e8c93a09e41403b89e4c573c 2025-12-04T08:57:34.5462811Z * [new tag] trunk/5f21d27e71268464d362a96c9ac09ea475f7f202 -> trunk/5f21d27e71268464d362a96c9ac09ea475f7f202 2025-12-04T08:57:34.5463411Z * [new tag] trunk/5fafc13038c9988d9ac21fa793fbd5890604b447 -> trunk/5fafc13038c9988d9ac21fa793fbd5890604b447 2025-12-04T08:57:34.5463885Z * [new tag] trunk/61be54a31dc09b59d99b62176fb935aee0b924ef -> trunk/61be54a31dc09b59d99b62176fb935aee0b924ef 2025-12-04T08:57:34.5464352Z * [new tag] trunk/62d3ccd71484ed6a760d909b41487101bbc65719 -> trunk/62d3ccd71484ed6a760d909b41487101bbc65719 2025-12-04T08:57:34.5464835Z * [new tag] trunk/641cdb68ae27668eb441d0e49c87a0602c120c2b -> trunk/641cdb68ae27668eb441d0e49c87a0602c120c2b 2025-12-04T08:57:34.5465315Z * [new tag] trunk/65c4620d6bb0c6029f69762c22b91dda2294da9a -> trunk/65c4620d6bb0c6029f69762c22b91dda2294da9a 2025-12-04T08:57:34.5465812Z * [new tag] trunk/66004b993744b4106bf8afaba71f3c228a804206 -> trunk/66004b993744b4106bf8afaba71f3c228a804206 2025-12-04T08:57:34.5466276Z * [new tag] trunk/6658a04c7ca67acb64512341342e7b3ee13ee386 -> trunk/6658a04c7ca67acb64512341342e7b3ee13ee386 2025-12-04T08:57:34.5466727Z * [new tag] trunk/6864e309092a71f8ab0ca6a4dc7f8a4073fd31c4 -> trunk/6864e309092a71f8ab0ca6a4dc7f8a4073fd31c4 2025-12-04T08:57:34.5467251Z * [new tag] trunk/6c261c6cb07892c90ca19ed51c9705b1659a3f7d -> trunk/6c261c6cb07892c90ca19ed51c9705b1659a3f7d 2025-12-04T08:57:34.5467677Z * [new tag] trunk/6c8b6a043f1628188b6396b3a2a6e000ca68362b -> trunk/6c8b6a043f1628188b6396b3a2a6e000ca68362b 2025-12-04T08:57:34.5468149Z * [new tag] trunk/6ceb4a32f92ae67ce5d7d97931d17401ebf5ffa5 -> trunk/6ceb4a32f92ae67ce5d7d97931d17401ebf5ffa5 2025-12-04T08:57:34.5468613Z * [new tag] trunk/6e404e9b7d6f5fb0de86aa73888c3038248c17f8 -> trunk/6e404e9b7d6f5fb0de86aa73888c3038248c17f8 2025-12-04T08:57:34.5469112Z * [new tag] trunk/6ec30b490aee1db6bcdc7340abddef25784f08ec -> trunk/6ec30b490aee1db6bcdc7340abddef25784f08ec 2025-12-04T08:57:34.5469578Z * [new tag] trunk/6f2783a6c08e1db34275ff25176ffe9aebc30a71 -> trunk/6f2783a6c08e1db34275ff25176ffe9aebc30a71 2025-12-04T08:57:34.5470033Z * [new tag] trunk/6f53fefeb90ad3281119b5cfc4aa9ffd8a066e3d -> trunk/6f53fefeb90ad3281119b5cfc4aa9ffd8a066e3d 2025-12-04T08:57:34.5470516Z * [new tag] trunk/6f7dcf51e46d0c880db1a2f5c70de57adb576f4a -> trunk/6f7dcf51e46d0c880db1a2f5c70de57adb576f4a 2025-12-04T08:57:34.5471279Z * [new tag] trunk/6ff831180d2fa436c7f1c1af3adac641fce9d60e -> trunk/6ff831180d2fa436c7f1c1af3adac641fce9d60e 2025-12-04T08:57:34.5471495Z * [new tag] trunk/70076464a63ab218a7ceefb0e76ccd7131deb8f8 -> trunk/70076464a63ab218a7ceefb0e76ccd7131deb8f8 2025-12-04T08:57:34.5472206Z * [new tag] trunk/70d797a5fc109b20a517646fcaa819477cd0d485 -> trunk/70d797a5fc109b20a517646fcaa819477cd0d485 2025-12-04T08:57:34.5472533Z * [new tag] trunk/7348cb355ff0a6f79cd4871215aea72185748734 -> trunk/7348cb355ff0a6f79cd4871215aea72185748734 2025-12-04T08:57:34.5473055Z * [new tag] trunk/74fe26a1ebe32931783569f2e762e3c2c974901f -> trunk/74fe26a1ebe32931783569f2e762e3c2c974901f 2025-12-04T08:57:34.5473524Z * [new tag] trunk/76aeb8c7e0f795b3fddca134cbea9a69da3ee696 -> trunk/76aeb8c7e0f795b3fddca134cbea9a69da3ee696 2025-12-04T08:57:34.5473992Z * [new tag] trunk/7741edd4ed665f3988052e260863efb508d61a03 -> trunk/7741edd4ed665f3988052e260863efb508d61a03 2025-12-04T08:57:34.5474617Z * [new tag] trunk/78adb3b3df41b45d2368b67226d2f864b78939a6 -> trunk/78adb3b3df41b45d2368b67226d2f864b78939a6 2025-12-04T08:57:34.5475023Z * [new tag] trunk/79d7b178225e5ed24d4e1db74e5abbff848f5fb7 -> trunk/79d7b178225e5ed24d4e1db74e5abbff848f5fb7 2025-12-04T08:57:34.5475401Z * [new tag] trunk/7a1e316115fc6996b3f2336822ba5d5f6179f0c3 -> trunk/7a1e316115fc6996b3f2336822ba5d5f6179f0c3 2025-12-04T08:57:34.5475838Z * [new tag] trunk/7a41b66367c38d0af3e8a90f7be48d6b281e7bca -> trunk/7a41b66367c38d0af3e8a90f7be48d6b281e7bca 2025-12-04T08:57:34.5476289Z * [new tag] trunk/7b7af390ea8541c611d1ce2018a6934188fc197b -> trunk/7b7af390ea8541c611d1ce2018a6934188fc197b 2025-12-04T08:57:34.5476792Z * [new tag] trunk/7ba4680f3755a560af81aa0f688791e367aa3609 -> trunk/7ba4680f3755a560af81aa0f688791e367aa3609 2025-12-04T08:57:34.5477311Z * [new tag] trunk/7bc2a66ded06a0b2549aa51d807edc5dc3e73d1b -> trunk/7bc2a66ded06a0b2549aa51d807edc5dc3e73d1b 2025-12-04T08:57:34.5477636Z * [new tag] trunk/7c648509a7470ace9fb2bae960dd4790f7e943e9 -> trunk/7c648509a7470ace9fb2bae960dd4790f7e943e9 2025-12-04T08:57:34.5478082Z * [new tag] trunk/7cbc2d034cecd21ab5c9707d0a9c525c17143fb8 -> trunk/7cbc2d034cecd21ab5c9707d0a9c525c17143fb8 2025-12-04T08:57:34.5478520Z * [new tag] trunk/7d1bbaf4ba301ea3fba6f3c7bc02d58f6417aaed -> trunk/7d1bbaf4ba301ea3fba6f3c7bc02d58f6417aaed 2025-12-04T08:57:34.5478967Z * [new tag] trunk/7d2a33e4ebf60b217a3cd77feae19231eb996fc8 -> trunk/7d2a33e4ebf60b217a3cd77feae19231eb996fc8 2025-12-04T08:57:34.5479498Z * [new tag] trunk/7eb625920054b1126a7d2d99818aaa188c6ba95e -> trunk/7eb625920054b1126a7d2d99818aaa188c6ba95e 2025-12-04T08:57:34.5479824Z * [new tag] trunk/7f55ba19c456a3d6cc443dd9edb6bb7cca677ead -> trunk/7f55ba19c456a3d6cc443dd9edb6bb7cca677ead 2025-12-04T08:57:34.5480297Z * [new tag] trunk/81af382128efa094d8702e18f2c133760904c718 -> trunk/81af382128efa094d8702e18f2c133760904c718 2025-12-04T08:57:34.5481025Z * [new tag] trunk/84149583d483e9c973c9a0feda70e4f3964947b0 -> trunk/84149583d483e9c973c9a0feda70e4f3964947b0 2025-12-04T08:57:34.5481710Z * [new tag] trunk/85a315917efe82c24306be805c584ec044951c75 -> trunk/85a315917efe82c24306be805c584ec044951c75 2025-12-04T08:57:34.5482031Z * [new tag] trunk/87329491c82a5f8c1cc4ec11d8f55a5de2551ece -> trunk/87329491c82a5f8c1cc4ec11d8f55a5de2551ece 2025-12-04T08:57:34.5482492Z * [new tag] trunk/892640e25aeefa8007c5af837214b4502b6b62a6 -> trunk/892640e25aeefa8007c5af837214b4502b6b62a6 2025-12-04T08:57:34.5483208Z * [new tag] trunk/89e3bbcb5b5321dc8b9520b4d5a8ee60cea1d0b4 -> trunk/89e3bbcb5b5321dc8b9520b4d5a8ee60cea1d0b4 2025-12-04T08:57:34.5483517Z * [new tag] trunk/8c73bbbb02159223c0c97d268a0a74cb78158a1c -> trunk/8c73bbbb02159223c0c97d268a0a74cb78158a1c 2025-12-04T08:57:34.5484039Z * [new tag] trunk/8d56e98c8db988a22cb2dfaeefb30bc7d2a3cc43 -> trunk/8d56e98c8db988a22cb2dfaeefb30bc7d2a3cc43 2025-12-04T08:57:34.5484546Z * [new tag] trunk/8d9dd9603e5ee26c01007f0cd4f018e584840922 -> trunk/8d9dd9603e5ee26c01007f0cd4f018e584840922 2025-12-04T08:57:34.5485138Z * [new tag] trunk/8ef0c0b02b062d75e7c9be2594914a3e784d23ca -> trunk/8ef0c0b02b062d75e7c9be2594914a3e784d23ca 2025-12-04T08:57:34.5485574Z * [new tag] trunk/90b27e7e8352cde97d32ddad24740ef819633f38 -> trunk/90b27e7e8352cde97d32ddad24740ef819633f38 2025-12-04T08:57:34.5485950Z * [new tag] trunk/90f0139e64b2951815d524b6a373bed20c4fbf90 -> trunk/90f0139e64b2951815d524b6a373bed20c4fbf90 2025-12-04T08:57:34.5486360Z * [new tag] trunk/93d0d6838c56af59b0dba794e6aa08f0c1c7799c -> trunk/93d0d6838c56af59b0dba794e6aa08f0c1c7799c 2025-12-04T08:57:34.5486928Z * [new tag] trunk/94ca8d5f1e81fea3ae488650a0fb6795049a9f87 -> trunk/94ca8d5f1e81fea3ae488650a0fb6795049a9f87 2025-12-04T08:57:34.5487577Z * [new tag] trunk/9844fbeadd5cebdf1281d6fbf79164139c352693 -> trunk/9844fbeadd5cebdf1281d6fbf79164139c352693 2025-12-04T08:57:34.5488034Z * [new tag] trunk/99024dec888ec1e50b546822a32b6fb2f35e5eaa -> trunk/99024dec888ec1e50b546822a32b6fb2f35e5eaa 2025-12-04T08:57:34.5488509Z * [new tag] trunk/9a296e640fc88aa44d275b48cd9cc30c573b169d -> trunk/9a296e640fc88aa44d275b48cd9cc30c573b169d 2025-12-04T08:57:34.5489009Z * [new tag] trunk/9b3e34d8589b29f7b4e7fab6f78711b7ca6e4639 -> trunk/9b3e34d8589b29f7b4e7fab6f78711b7ca6e4639 2025-12-04T08:57:34.5489544Z * [new tag] trunk/9cd055e547e9b67a5f9827f8999c38d7eda1bcb8 -> trunk/9cd055e547e9b67a5f9827f8999c38d7eda1bcb8 2025-12-04T08:57:34.5489982Z * [new tag] trunk/9f0df5686cb4ada94f94620acba2e3c3f363b11d -> trunk/9f0df5686cb4ada94f94620acba2e3c3f363b11d 2025-12-04T08:57:34.5490477Z * [new tag] trunk/9f7fceb887d0cfa0326a59b887821c63ff11340a -> trunk/9f7fceb887d0cfa0326a59b887821c63ff11340a 2025-12-04T08:57:34.5490974Z * [new tag] trunk/9f8ef8855d3078d70f7b782540ff2aaf158d6742 -> trunk/9f8ef8855d3078d70f7b782540ff2aaf158d6742 2025-12-04T08:57:34.5491922Z * [new tag] trunk/9fb52efc797b47a1f425a03aa5e47b866d8b1098 -> trunk/9fb52efc797b47a1f425a03aa5e47b866d8b1098 2025-12-04T08:57:34.5492285Z * [new tag] trunk/9ff4a2ebc5762d46c73e46b1b523d7ff349fedfa -> trunk/9ff4a2ebc5762d46c73e46b1b523d7ff349fedfa 2025-12-04T08:57:34.5492773Z * [new tag] trunk/a0f3937b94422354538ebbd47202d5b0e8a3fd0d -> trunk/a0f3937b94422354538ebbd47202d5b0e8a3fd0d 2025-12-04T08:57:34.5493536Z * [new tag] trunk/a15066c28b3145e6edbfc88359d0411d14cfc70c -> trunk/a15066c28b3145e6edbfc88359d0411d14cfc70c 2025-12-04T08:57:34.5493884Z * [new tag] trunk/a20f775e82564d2a9979221ed7f3b8d7cf54ce90 -> trunk/a20f775e82564d2a9979221ed7f3b8d7cf54ce90 2025-12-04T08:57:34.5494477Z * [new tag] trunk/a2973fb00ec002dd4b6bbf07385f066efb259b8c -> trunk/a2973fb00ec002dd4b6bbf07385f066efb259b8c 2025-12-04T08:57:34.5494946Z * [new tag] trunk/a7dc6dab9ad911259d4801c502907e531594db45 -> trunk/a7dc6dab9ad911259d4801c502907e531594db45 2025-12-04T08:57:34.5495329Z * [new tag] trunk/a951a9cee65c01660bbc6e6fded90ecb10fa6109 -> trunk/a951a9cee65c01660bbc6e6fded90ecb10fa6109 2025-12-04T08:57:34.5495837Z * [new tag] trunk/abfa1a6d65c7c159e35c72c25979b9da4971689e -> trunk/abfa1a6d65c7c159e35c72c25979b9da4971689e 2025-12-04T08:57:34.5496260Z * [new tag] trunk/ae3a2395bf66151078e2d201716f7d63ce1c6f3e -> trunk/ae3a2395bf66151078e2d201716f7d63ce1c6f3e 2025-12-04T08:57:34.5496762Z * [new tag] trunk/afdff7f0325080dedac44d080cb5a3b0e65e6c5e -> trunk/afdff7f0325080dedac44d080cb5a3b0e65e6c5e 2025-12-04T08:57:34.5497134Z * [new tag] trunk/b1aed4e7a72c03a38f44543aaea0dae2e9b76d48 -> trunk/b1aed4e7a72c03a38f44543aaea0dae2e9b76d48 2025-12-04T08:57:34.5497643Z * [new tag] trunk/b1decff555cd50e2123c8c6e25cc0d447c411f62 -> trunk/b1decff555cd50e2123c8c6e25cc0d447c411f62 2025-12-04T08:57:34.5498178Z * [new tag] trunk/b2b6b034c9fd08672c40e63ef243556ad4c49bd2 -> trunk/b2b6b034c9fd08672c40e63ef243556ad4c49bd2 2025-12-04T08:57:34.5498641Z * [new tag] trunk/b39813b4a04931682b0491adba2138d01d716d99 -> trunk/b39813b4a04931682b0491adba2138d01d716d99 2025-12-04T08:57:34.5499167Z * [new tag] trunk/b3a7edb2311367974cc7cd764cfb11a5d6758b24 -> trunk/b3a7edb2311367974cc7cd764cfb11a5d6758b24 2025-12-04T08:57:34.5499648Z * [new tag] trunk/b4cc1329c86acaef6d42c1fac7169b8d870ab0d7 -> trunk/b4cc1329c86acaef6d42c1fac7169b8d870ab0d7 2025-12-04T08:57:34.5500217Z * [new tag] trunk/b555c39217f765759954a4f9f9bd1e9b87bed11a -> trunk/b555c39217f765759954a4f9f9bd1e9b87bed11a 2025-12-04T08:57:34.5500802Z * [new tag] trunk/b6b6c80379388b7f9932c3e6a0f9907bf430e417 -> trunk/b6b6c80379388b7f9932c3e6a0f9907bf430e417 2025-12-04T08:57:34.5501310Z * [new tag] trunk/b6b6d912df0b6f4082f8e50b18bd1de1dd7325f4 -> trunk/b6b6d912df0b6f4082f8e50b18bd1de1dd7325f4 2025-12-04T08:57:34.5501843Z * [new tag] trunk/b7d60685f8cbc939b68a20871e90db67e729329b -> trunk/b7d60685f8cbc939b68a20871e90db67e729329b 2025-12-04T08:57:34.5504861Z * [new tag] trunk/b7f6b9a4fc6259f7af068f31868b3119bb1bac3e -> trunk/b7f6b9a4fc6259f7af068f31868b3119bb1bac3e 2025-12-04T08:57:34.5505957Z * [new tag] trunk/b8c4ba3593761e7b2a3ebd86f040fb07b47c02cf -> trunk/b8c4ba3593761e7b2a3ebd86f040fb07b47c02cf 2025-12-04T08:57:34.5506404Z * [new tag] trunk/b9c8f3a4884befb965ff42620ce44a71b04887f5 -> trunk/b9c8f3a4884befb965ff42620ce44a71b04887f5 2025-12-04T08:57:34.5507142Z * [new tag] trunk/ba1412546f3082c0958c077acc2025e4dbc33f1f -> trunk/ba1412546f3082c0958c077acc2025e4dbc33f1f 2025-12-04T08:57:34.5507613Z * [new tag] trunk/bac403c0b38c63bdbcc0c31f1c2b0bc0260f610f -> trunk/bac403c0b38c63bdbcc0c31f1c2b0bc0260f610f 2025-12-04T08:57:34.5508119Z * [new tag] trunk/bb3034198b459401fabeab254e1b99f0115046e2 -> trunk/bb3034198b459401fabeab254e1b99f0115046e2 2025-12-04T08:57:34.5508607Z * [new tag] trunk/bc39b2b3bc7a6e19a42e62bd576974035086fe55 -> trunk/bc39b2b3bc7a6e19a42e62bd576974035086fe55 2025-12-04T08:57:34.5509199Z * [new tag] trunk/bc43d5b297f207a11d83d77ddf0152bdaabe15a8 -> trunk/bc43d5b297f207a11d83d77ddf0152bdaabe15a8 2025-12-04T08:57:34.5509810Z * [new tag] trunk/bc6a4863c7246a6493d16d4ea6eee71ec07c6a09 -> trunk/bc6a4863c7246a6493d16d4ea6eee71ec07c6a09 2025-12-04T08:57:34.5510288Z * [new tag] trunk/bea4912944defdbcb8b061800caab6cbbbd01df5 -> trunk/bea4912944defdbcb8b061800caab6cbbbd01df5 2025-12-04T08:57:34.5511133Z * [new tag] trunk/c04e2c656f48d82d1521b867bbbf03967b9b7564 -> trunk/c04e2c656f48d82d1521b867bbbf03967b9b7564 2025-12-04T08:57:34.5511525Z * [new tag] trunk/c0660bcee27e7d7731634e274576a7081882bede -> trunk/c0660bcee27e7d7731634e274576a7081882bede 2025-12-04T08:57:34.5512093Z * [new tag] trunk/c178ed43d3d99cbefe84fbfb21d6f282b20d62ac -> trunk/c178ed43d3d99cbefe84fbfb21d6f282b20d62ac 2025-12-04T08:57:34.5512589Z * [new tag] trunk/c55b1e8f61d041ee436d697449eb028931d574fb -> trunk/c55b1e8f61d041ee436d697449eb028931d574fb 2025-12-04T08:57:34.5512983Z * [new tag] trunk/c6ae7579fe12fe75f1a8f7043a494c90567273f1 -> trunk/c6ae7579fe12fe75f1a8f7043a494c90567273f1 2025-12-04T08:57:34.5513711Z * [new tag] trunk/c8210e7d94bad5ae21ac389fa4ba8a463c76c4d0 -> trunk/c8210e7d94bad5ae21ac389fa4ba8a463c76c4d0 2025-12-04T08:57:34.5514241Z * [new tag] trunk/cc0853af42122f8185321f542616f4474e717f09 -> trunk/cc0853af42122f8185321f542616f4474e717f09 2025-12-04T08:57:34.5514637Z * [new tag] trunk/cddec6562eabfa390d014fa3741a5659cf9c94c9 -> trunk/cddec6562eabfa390d014fa3741a5659cf9c94c9 2025-12-04T08:57:34.5515181Z * [new tag] trunk/ce5e7e3bf1f4b69a4f4f93d288ba75b906df492a -> trunk/ce5e7e3bf1f4b69a4f4f93d288ba75b906df492a 2025-12-04T08:57:34.5515717Z * [new tag] trunk/d038b0130ec7c20ebcac219301292fd8e98a1ace -> trunk/d038b0130ec7c20ebcac219301292fd8e98a1ace 2025-12-04T08:57:34.5516163Z * [new tag] trunk/d16447dacaf2420ea175f0c275c75da951f57d39 -> trunk/d16447dacaf2420ea175f0c275c75da951f57d39 2025-12-04T08:57:34.5516928Z * [new tag] trunk/d19f1e8cab6810bb2e99141f9976665954c67a50 -> trunk/d19f1e8cab6810bb2e99141f9976665954c67a50 2025-12-04T08:57:34.5517352Z * [new tag] trunk/d1c9f03b2a5af4104721712f8cdffe9b4f340c01 -> trunk/d1c9f03b2a5af4104721712f8cdffe9b4f340c01 2025-12-04T08:57:34.5518057Z * [new tag] trunk/d40f4950f2b7f7aa380a22fe0f6166e71680fbcf -> trunk/d40f4950f2b7f7aa380a22fe0f6166e71680fbcf 2025-12-04T08:57:34.5518516Z * [new tag] trunk/d5038950bacfe36bbf24a47a455fe76901deb8e8 -> trunk/d5038950bacfe36bbf24a47a455fe76901deb8e8 2025-12-04T08:57:34.5518954Z * [new tag] trunk/d54ff42903c2ae0533931ff11d23b35f875bdb3d -> trunk/d54ff42903c2ae0533931ff11d23b35f875bdb3d 2025-12-04T08:57:34.5519470Z * [new tag] trunk/d76697633a2d2b9cced1ae21161849b33bfe7e47 -> trunk/d76697633a2d2b9cced1ae21161849b33bfe7e47 2025-12-04T08:57:34.5519941Z * [new tag] trunk/d78f52b199c547106d4cd9d2856dd0805c118bf1 -> trunk/d78f52b199c547106d4cd9d2856dd0805c118bf1 2025-12-04T08:57:34.5520465Z * [new tag] trunk/d8fd5c6eed28e5004150691d048a3f6785e19a8e -> trunk/d8fd5c6eed28e5004150691d048a3f6785e19a8e 2025-12-04T08:57:34.5520941Z * [new tag] trunk/d900f5e86745dec76713f4b0ef07005ef36b2f5a -> trunk/d900f5e86745dec76713f4b0ef07005ef36b2f5a 2025-12-04T08:57:34.5521488Z * [new tag] trunk/d973dc6b87d763859fe1c5bd1287e3b6b1c49d1b -> trunk/d973dc6b87d763859fe1c5bd1287e3b6b1c49d1b 2025-12-04T08:57:34.5522022Z * [new tag] trunk/d998c03304cb6ede76e1ed535b4ddeb6c2bf40ec -> trunk/d998c03304cb6ede76e1ed535b4ddeb6c2bf40ec 2025-12-04T08:57:34.5522522Z * [new tag] trunk/d9cb8a70833101dbbe16b99520cfbdd70d0a87bf -> trunk/d9cb8a70833101dbbe16b99520cfbdd70d0a87bf 2025-12-04T08:57:34.5522998Z * [new tag] trunk/d9d5e91b43f70eb8637af55db6856d49be391ffd -> trunk/d9d5e91b43f70eb8637af55db6856d49be391ffd 2025-12-04T08:57:34.5523502Z * [new tag] trunk/dd18a75336a4fbd7497955cc5665904724fce889 -> trunk/dd18a75336a4fbd7497955cc5665904724fce889 2025-12-04T08:57:34.5524049Z * [new tag] trunk/ded9bcd61a059bf723e6e84689552962b480ea77 -> trunk/ded9bcd61a059bf723e6e84689552962b480ea77 2025-12-04T08:57:34.5524810Z * [new tag] trunk/dfbd3714d15c37a7b83b322a6b60f997fc00f50c -> trunk/dfbd3714d15c37a7b83b322a6b60f997fc00f50c 2025-12-04T08:57:34.5525351Z * [new tag] trunk/e115f9f4e4b039f8e9a642aaa2bd8254a920541b -> trunk/e115f9f4e4b039f8e9a642aaa2bd8254a920541b 2025-12-04T08:57:34.5525792Z * [new tag] trunk/e3f24fd73ad74c6e7176687986436956c7c18235 -> trunk/e3f24fd73ad74c6e7176687986436956c7c18235 2025-12-04T08:57:34.5526309Z * [new tag] trunk/e7d24d3ff93d1503ba63860b7057438ad93f918e -> trunk/e7d24d3ff93d1503ba63860b7057438ad93f918e 2025-12-04T08:57:34.5526817Z * [new tag] trunk/ea7035f462a0d2830865ee86c832bd101e1427fc -> trunk/ea7035f462a0d2830865ee86c832bd101e1427fc 2025-12-04T08:57:34.5527236Z * [new tag] trunk/eabb7ad2128580ef674446027b95bcf4e21e8df3 -> trunk/eabb7ad2128580ef674446027b95bcf4e21e8df3 2025-12-04T08:57:34.5527770Z * [new tag] trunk/eb5c63652a33da42e7018c23df5f20a3eb4c6ccf -> trunk/eb5c63652a33da42e7018c23df5f20a3eb4c6ccf 2025-12-04T08:57:34.5528784Z * [new tag] trunk/ec2c71f5c85021b8938cdafadce24c15a36fd93e -> trunk/ec2c71f5c85021b8938cdafadce24c15a36fd93e 2025-12-04T08:57:34.5529149Z * [new tag] trunk/ecbcc3f6bf327856b435b259ac63cc2f328c4b4e -> trunk/ecbcc3f6bf327856b435b259ac63cc2f328c4b4e 2025-12-04T08:57:34.5530081Z * [new tag] trunk/ee87bbe876c42575e961b32a0827d76bc9782ca2 -> trunk/ee87bbe876c42575e961b32a0827d76bc9782ca2 2025-12-04T08:57:34.5530545Z * [new tag] trunk/ef019d1d431c4c5a95b594cb90d40a50cd00f5e4 -> trunk/ef019d1d431c4c5a95b594cb90d40a50cd00f5e4 2025-12-04T08:57:34.5531113Z * [new tag] trunk/ef8ecc13830a86c4b231f1aad9aba7851db61b53 -> trunk/ef8ecc13830a86c4b231f1aad9aba7851db61b53 2025-12-04T08:57:34.5531592Z * [new tag] trunk/f1076f5510920044912247b1abb8760cb820f598 -> trunk/f1076f5510920044912247b1abb8760cb820f598 2025-12-04T08:57:34.5532086Z * [new tag] trunk/f2d6a75a00a1d648ca9a0abc6a33e14c3dea6c40 -> trunk/f2d6a75a00a1d648ca9a0abc6a33e14c3dea6c40 2025-12-04T08:57:34.5532578Z * [new tag] trunk/f47dd0ddef1359e5b43e4b962412f67b30ecde56 -> trunk/f47dd0ddef1359e5b43e4b962412f67b30ecde56 2025-12-04T08:57:34.5533082Z * [new tag] trunk/f49d32dfa4730dcfb1b60eeeb369b5889da983c8 -> trunk/f49d32dfa4730dcfb1b60eeeb369b5889da983c8 2025-12-04T08:57:34.5533550Z * [new tag] trunk/f4dedf78fc30fd4b93975787ca6074ee89db9467 -> trunk/f4dedf78fc30fd4b93975787ca6074ee89db9467 2025-12-04T08:57:34.5534052Z * [new tag] trunk/f7c0d03819ebed05c4038f095d66d1b8c54aca17 -> trunk/f7c0d03819ebed05c4038f095d66d1b8c54aca17 2025-12-04T08:57:34.5534536Z * [new tag] trunk/f7e1bd80a063e17453c361837ba6ea2570920a73 -> trunk/f7e1bd80a063e17453c361837ba6ea2570920a73 2025-12-04T08:57:34.5534948Z * [new tag] trunk/f9bd6c53624c7c0ea3772de78498326e84c2f0e7 -> trunk/f9bd6c53624c7c0ea3772de78498326e84c2f0e7 2025-12-04T08:57:34.5535561Z * [new tag] trunk/fb5be221a46b51bfc9509013b0d85bc5a9d4f15b -> trunk/fb5be221a46b51bfc9509013b0d85bc5a9d4f15b 2025-12-04T08:57:34.5536003Z * [new tag] trunk/fdf863d5e1de3b2688c9511e96876e34581dbfd7 -> trunk/fdf863d5e1de3b2688c9511e96876e34581dbfd7 2025-12-04T08:57:34.5536877Z * [new tag] trunk/fe0e65adfc0e7ca6e5f57e6ea8b16bd5cc967307 -> trunk/fe0e65adfc0e7ca6e5f57e6ea8b16bd5cc967307 2025-12-04T08:57:34.5537338Z * [new tag] trunk/fec710bf89173f5355468a7ce1afe9157c3d9009 -> trunk/fec710bf89173f5355468a7ce1afe9157c3d9009 2025-12-04T08:57:34.5537954Z * [new tag] trunk/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 -> trunk/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:57:34.5538418Z * [new tag] v0.1.1 -> v0.1.1 2025-12-04T08:57:34.5538913Z * [new tag] v0.1.10 -> v0.1.10 2025-12-04T08:57:34.5539285Z * [new tag] v0.1.11 -> v0.1.11 2025-12-04T08:57:34.5539797Z * [new tag] v0.1.12 -> v0.1.12 2025-12-04T08:57:34.5540530Z * [new tag] v0.1.2 -> v0.1.2 2025-12-04T08:57:34.5540927Z * [new tag] v0.1.3 -> v0.1.3 2025-12-04T08:57:34.5541478Z * [new tag] v0.1.4 -> v0.1.4 2025-12-04T08:57:34.5542042Z * [new tag] v0.1.5 -> v0.1.5 2025-12-04T08:57:34.5542395Z * [new tag] v0.1.6 -> v0.1.6 2025-12-04T08:57:34.5542926Z * [new tag] v0.1.7 -> v0.1.7 2025-12-04T08:57:34.5543789Z * [new tag] v0.1.8 -> v0.1.8 2025-12-04T08:57:34.5544184Z * [new tag] v0.1.9 -> v0.1.9 2025-12-04T08:57:34.5544904Z * [new tag] v0.2.0 -> v0.2.0 2025-12-04T08:57:34.5545470Z * [new tag] v0.3.0 -> v0.3.0 2025-12-04T08:57:34.5546089Z * [new tag] v0.3.1 -> v0.3.1 2025-12-04T08:57:34.5546629Z * [new tag] v0.4.0 -> v0.4.0 2025-12-04T08:57:34.5546997Z * [new tag] v0.4.1 -> v0.4.1 2025-12-04T08:57:34.5547561Z * [new tag] v1.0.0 -> v1.0.0 2025-12-04T08:57:34.5548108Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-12-04T08:57:34.5548623Z * [new tag] v1.0.1 -> v1.0.1 2025-12-04T08:57:34.5549203Z * [new tag] v1.0rc0 -> v1.0rc0 2025-12-04T08:57:34.5549473Z * [new tag] v1.0rc1 -> v1.0rc1 2025-12-04T08:57:34.5549982Z * [new tag] v1.1.0 -> v1.1.0 2025-12-04T08:57:34.5550403Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-12-04T08:57:34.5551081Z * [new tag] v1.10.0 -> v1.10.0 2025-12-04T08:57:34.5551650Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-12-04T08:57:34.5552053Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-12-04T08:57:34.5552399Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-12-04T08:57:34.5552983Z * [new tag] v1.10.1 -> v1.10.1 2025-12-04T08:57:34.5553188Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-12-04T08:57:34.5553758Z * [new tag] v1.10.2 -> v1.10.2 2025-12-04T08:57:34.5554087Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-12-04T08:57:34.5554620Z * [new tag] v1.11.0 -> v1.11.0 2025-12-04T08:57:34.5555093Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-12-04T08:57:34.5555642Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-12-04T08:57:34.5556355Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-12-04T08:57:34.5556789Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-12-04T08:57:34.5557131Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-12-04T08:57:34.5557505Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-12-04T08:57:34.5557815Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-12-04T08:57:34.5558499Z * [new tag] v1.12.0 -> v1.12.0 2025-12-04T08:57:34.5558860Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-12-04T08:57:34.5559485Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-12-04T08:57:34.5560109Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-12-04T08:57:34.5560360Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-12-04T08:57:34.5560983Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-12-04T08:57:34.5561681Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-12-04T08:57:34.5561856Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-12-04T08:57:34.5562146Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-12-04T08:57:34.5562474Z * [new tag] v1.12.1 -> v1.12.1 2025-12-04T08:57:34.5563089Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-12-04T08:57:34.5563525Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-12-04T08:57:34.5564111Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-12-04T08:57:34.5564771Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-12-04T08:57:34.5564930Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-12-04T08:57:34.5565533Z * [new tag] v1.13.0 -> v1.13.0 2025-12-04T08:57:34.5565847Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-12-04T08:57:34.5566432Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-12-04T08:57:34.5566717Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-12-04T08:57:34.5567435Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-12-04T08:57:34.5567727Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-12-04T08:57:34.5568078Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-12-04T08:57:34.5568721Z * [new tag] v1.13.1 -> v1.13.1 2025-12-04T08:57:34.5568998Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-12-04T08:57:34.5569580Z * [new tag] v1.2.0 -> v1.2.0 2025-12-04T08:57:34.5569932Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-12-04T08:57:34.5570475Z * [new tag] v1.3.0 -> v1.3.0 2025-12-04T08:57:34.5570841Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-12-04T08:57:34.5571181Z * [new tag] v1.3.1 -> v1.3.1 2025-12-04T08:57:34.5571649Z * [new tag] v1.4.0 -> v1.4.0 2025-12-04T08:57:34.5572060Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-12-04T08:57:34.5572406Z * [new tag] v1.4.1 -> v1.4.1 2025-12-04T08:57:34.5572993Z * [new tag] v1.5.0 -> v1.5.0 2025-12-04T08:57:34.5573531Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-12-04T08:57:34.5574352Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-12-04T08:57:34.5574893Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-12-04T08:57:34.5575264Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-12-04T08:57:34.5575923Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-12-04T08:57:34.5576061Z * [new tag] v1.5.1 -> v1.5.1 2025-12-04T08:57:34.5576358Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-12-04T08:57:34.5576742Z * [new tag] v1.6.0 -> v1.6.0 2025-12-04T08:57:34.5577386Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-12-04T08:57:34.5577726Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-12-04T08:57:34.5578384Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-12-04T08:57:34.5578854Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-12-04T08:57:34.5579186Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-12-04T08:57:34.5579777Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-12-04T08:57:34.5580100Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-12-04T08:57:34.5580728Z * [new tag] v1.7.0 -> v1.7.0 2025-12-04T08:57:34.5581415Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-12-04T08:57:34.5581826Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-12-04T08:57:34.5582308Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-12-04T08:57:34.5582664Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-12-04T08:57:34.5583395Z * [new tag] v1.7.1 -> v1.7.1 2025-12-04T08:57:34.5583866Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-12-04T08:57:34.5584792Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-12-04T08:57:34.5584976Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-12-04T08:57:34.5585493Z * [new tag] v1.8.0 -> v1.8.0 2025-12-04T08:57:34.5585771Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-12-04T08:57:34.5586448Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-12-04T08:57:34.5586978Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-12-04T08:57:34.5587336Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-12-04T08:57:34.5587639Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-12-04T08:57:34.5587993Z * [new tag] v1.8.1 -> v1.8.1 2025-12-04T08:57:34.5588584Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-12-04T08:57:34.5588858Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-12-04T08:57:34.5589180Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-12-04T08:57:34.5590093Z * [new tag] v1.8.2 -> v1.8.2 2025-12-04T08:57:34.5590319Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-12-04T08:57:34.5590886Z * [new tag] v1.9.0 -> v1.9.0 2025-12-04T08:57:34.5591216Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-12-04T08:57:34.5591866Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-12-04T08:57:34.5592425Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-12-04T08:57:34.5592730Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-12-04T08:57:34.5593170Z * [new tag] v1.9.1 -> v1.9.1 2025-12-04T08:57:34.5594000Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-12-04T08:57:34.5594093Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-12-04T08:57:34.5594717Z * [new tag] v2.0.0 -> v2.0.0 2025-12-04T08:57:34.5595023Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-12-04T08:57:34.5595685Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-12-04T08:57:34.5596036Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-12-04T08:57:34.5596616Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-12-04T08:57:34.5596933Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-12-04T08:57:34.5597255Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-12-04T08:57:34.5597865Z * [new tag] v2.0.1 -> v2.0.1 2025-12-04T08:57:34.5598474Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-12-04T08:57:34.5598622Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-12-04T08:57:34.5599310Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-12-04T08:57:34.5599498Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-12-04T08:57:34.5600532Z * [new tag] v2.1.0 -> v2.1.0 2025-12-04T08:57:34.5600821Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-12-04T08:57:34.5601437Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-12-04T08:57:34.5601862Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-12-04T08:57:34.5602797Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-12-04T08:57:34.5603126Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-12-04T08:57:34.5603534Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-12-04T08:57:34.5604048Z * [new tag] v2.1.1 -> v2.1.1 2025-12-04T08:57:34.5604610Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-12-04T08:57:34.5605451Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-12-04T08:57:34.5605982Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-12-04T08:57:34.5606496Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-12-04T08:57:34.5606846Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-12-04T08:57:34.5607134Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-12-04T08:57:34.5607701Z * [new tag] v2.1.2 -> v2.1.2 2025-12-04T08:57:34.5608097Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-12-04T08:57:34.5608659Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-12-04T08:57:34.5608914Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-12-04T08:57:34.5609563Z * [new tag] v2.2.0 -> v2.2.0 2025-12-04T08:57:34.5609839Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-12-04T08:57:34.5610456Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-12-04T08:57:34.5610678Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-12-04T08:57:34.5611436Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-12-04T08:57:34.5611621Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-12-04T08:57:34.5612371Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-12-04T08:57:34.5612655Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-12-04T08:57:34.5612874Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-12-04T08:57:34.5613523Z * [new tag] v2.2.1 -> v2.2.1 2025-12-04T08:57:34.5613931Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-12-04T08:57:34.5614182Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-12-04T08:57:34.5614784Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-12-04T08:57:34.5615015Z * [new tag] v2.2.2 -> v2.2.2 2025-12-04T08:57:34.5615803Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-12-04T08:57:34.5616029Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-12-04T08:57:34.5616337Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-12-04T08:57:34.5616982Z * [new tag] v2.3.0 -> v2.3.0 2025-12-04T08:57:34.5617344Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-12-04T08:57:34.5618032Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-12-04T08:57:34.5618532Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-12-04T08:57:34.5618823Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-12-04T08:57:34.5619445Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-12-04T08:57:34.5619839Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-12-04T08:57:34.5620668Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-12-04T08:57:34.5620948Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-12-04T08:57:34.5621290Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-12-04T08:57:34.5621935Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-12-04T08:57:34.5622498Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-12-04T08:57:34.5622768Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-12-04T08:57:34.5623187Z * [new tag] v2.3.1 -> v2.3.1 2025-12-04T08:57:34.5623728Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-12-04T08:57:34.5624240Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-12-04T08:57:34.5624777Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-12-04T08:57:34.5625345Z * [new tag] v2.4.0 -> v2.4.0 2025-12-04T08:57:34.5625660Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-12-04T08:57:34.5626260Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-12-04T08:57:34.5626659Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-12-04T08:57:34.5627281Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-12-04T08:57:34.5627661Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-12-04T08:57:34.5628266Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-12-04T08:57:34.5628654Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-12-04T08:57:34.5629299Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-12-04T08:57:34.5629671Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-12-04T08:57:34.5630083Z * [new tag] v2.4.1 -> v2.4.1 2025-12-04T08:57:34.5630744Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-12-04T08:57:34.5631168Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-12-04T08:57:34.5631787Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-12-04T08:57:34.5632169Z * [new tag] v2.5.0 -> v2.5.0 2025-12-04T08:57:34.5632791Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-12-04T08:57:34.5633022Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-12-04T08:57:34.5633750Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-12-04T08:57:34.5633999Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-12-04T08:57:34.5634543Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-12-04T08:57:34.5634970Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-12-04T08:57:34.5635966Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-12-04T08:57:34.5636463Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-12-04T08:57:34.5636917Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-12-04T08:57:34.5637522Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-12-04T08:57:34.5637708Z * [new tag] v2.5.1 -> v2.5.1 2025-12-04T08:57:34.5638098Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-12-04T08:57:34.5638490Z * [new tag] v2.6.0 -> v2.6.0 2025-12-04T08:57:34.5639131Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-12-04T08:57:34.5639563Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-12-04T08:57:34.5640183Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-12-04T08:57:34.5640499Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-12-04T08:57:34.5641350Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-12-04T08:57:34.5641749Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-12-04T08:57:34.5642354Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-12-04T08:57:34.5642811Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-12-04T08:57:34.5643454Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-12-04T08:57:34.5644077Z * [new tag] v2.7.0 -> v2.7.0 2025-12-04T08:57:34.5644445Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-12-04T08:57:34.5644804Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-12-04T08:57:34.5645501Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-12-04T08:57:34.5645910Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-12-04T08:57:34.5646555Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-12-04T08:57:34.5646930Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-12-04T08:57:34.5647503Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-12-04T08:57:34.5647924Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-12-04T08:57:34.5648509Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-12-04T08:57:34.5649142Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-12-04T08:57:34.5649358Z * [new tag] v2.7.1 -> v2.7.1 2025-12-04T08:57:34.5650009Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-12-04T08:57:34.5650500Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-12-04T08:57:34.5651098Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-12-04T08:57:34.5651593Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-12-04T08:57:34.5651968Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-12-04T08:57:34.5652312Z * [new tag] v2.8.0 -> v2.8.0 2025-12-04T08:57:34.5652906Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-12-04T08:57:34.5653298Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-12-04T08:57:34.5653900Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-12-04T08:57:34.5654411Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-12-04T08:57:34.5654965Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-12-04T08:57:34.5655507Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-12-04T08:57:34.5656046Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-12-04T08:57:34.5656334Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-12-04T08:57:34.5656991Z * [new tag] v2.9.0 -> v2.9.0 2025-12-04T08:57:34.5657501Z * [new tag] v2.9.0-rc1 -> v2.9.0-rc1 2025-12-04T08:57:34.5657858Z * [new tag] v2.9.0-rc10 -> v2.9.0-rc10 2025-12-04T08:57:34.5658531Z * [new tag] v2.9.0-rc11 -> v2.9.0-rc11 2025-12-04T08:57:34.5659318Z * [new tag] v2.9.0-rc2 -> v2.9.0-rc2 2025-12-04T08:57:34.5659684Z * [new tag] v2.9.0-rc3 -> v2.9.0-rc3 2025-12-04T08:57:34.5660555Z * [new tag] v2.9.0-rc4 -> v2.9.0-rc4 2025-12-04T08:57:34.5661128Z * [new tag] v2.9.0-rc5 -> v2.9.0-rc5 2025-12-04T08:57:34.5661924Z * [new tag] v2.9.0-rc6 -> v2.9.0-rc6 2025-12-04T08:57:34.5662562Z * [new tag] v2.9.0-rc7 -> v2.9.0-rc7 2025-12-04T08:57:34.5663203Z * [new tag] v2.9.0-rc8 -> v2.9.0-rc8 2025-12-04T08:57:34.5663569Z * [new tag] v2.9.0-rc9 -> v2.9.0-rc9 2025-12-04T08:57:34.5663984Z * [new tag] v2.9.1 -> v2.9.1 2025-12-04T08:57:34.5664673Z * [new tag] v2.9.1-rc1 -> v2.9.1-rc1 2025-12-04T08:57:34.5665297Z * [new tag] v2.9.1-rc2 -> v2.9.1-rc2 2025-12-04T08:57:34.5666259Z * [new tag] viable/strict/1759343184 -> viable/strict/1759343184 2025-12-04T08:57:34.5666739Z * [new tag] viable/strict/1759346540 -> viable/strict/1759346540 2025-12-04T08:57:34.5667193Z * [new tag] viable/strict/1759348181 -> viable/strict/1759348181 2025-12-04T08:57:34.5667633Z * [new tag] viable/strict/1759350324 -> viable/strict/1759350324 2025-12-04T08:57:34.5668029Z * [new tag] viable/strict/1759351793 -> viable/strict/1759351793 2025-12-04T08:57:34.5668508Z * [new tag] viable/strict/1759353844 -> viable/strict/1759353844 2025-12-04T08:57:34.5668973Z * [new tag] viable/strict/1759355374 -> viable/strict/1759355374 2025-12-04T08:57:34.5669415Z * [new tag] viable/strict/1759357472 -> viable/strict/1759357472 2025-12-04T08:57:34.5669858Z * [new tag] viable/strict/1759361002 -> viable/strict/1759361002 2025-12-04T08:57:34.5670708Z * [new tag] viable/strict/1759362585 -> viable/strict/1759362585 2025-12-04T08:57:34.5671138Z * [new tag] viable/strict/1759365359 -> viable/strict/1759365359 2025-12-04T08:57:34.5671765Z * [new tag] viable/strict/1759370089 -> viable/strict/1759370089 2025-12-04T08:57:34.5672147Z * [new tag] viable/strict/1759377554 -> viable/strict/1759377554 2025-12-04T08:57:34.5672665Z * [new tag] viable/strict/1759379133 -> viable/strict/1759379133 2025-12-04T08:57:34.5673079Z * [new tag] viable/strict/1759389871 -> viable/strict/1759389871 2025-12-04T08:57:34.5673654Z * [new tag] viable/strict/1759393562 -> viable/strict/1759393562 2025-12-04T08:57:34.5674062Z * [new tag] viable/strict/1759395076 -> viable/strict/1759395076 2025-12-04T08:57:34.5674600Z * [new tag] viable/strict/1759398579 -> viable/strict/1759398579 2025-12-04T08:57:34.5675052Z * [new tag] viable/strict/1759404142 -> viable/strict/1759404142 2025-12-04T08:57:34.5675505Z * [new tag] viable/strict/1759405773 -> viable/strict/1759405773 2025-12-04T08:57:34.5675962Z * [new tag] viable/strict/1759408041 -> viable/strict/1759408041 2025-12-04T08:57:34.5676420Z * [new tag] viable/strict/1759411593 -> viable/strict/1759411593 2025-12-04T08:57:34.5676872Z * [new tag] viable/strict/1759427395 -> viable/strict/1759427395 2025-12-04T08:57:34.5677334Z * [new tag] viable/strict/1759434582 -> viable/strict/1759434582 2025-12-04T08:57:34.5677944Z * [new tag] viable/strict/1759436720 -> viable/strict/1759436720 2025-12-04T08:57:34.5678266Z * [new tag] viable/strict/1759440219 -> viable/strict/1759440219 2025-12-04T08:57:34.5679019Z * [new tag] viable/strict/1759441948 -> viable/strict/1759441948 2025-12-04T08:57:34.5679639Z * [new tag] viable/strict/1759443860 -> viable/strict/1759443860 2025-12-04T08:57:34.5679757Z * [new tag] viable/strict/1759445377 -> viable/strict/1759445377 2025-12-04T08:57:34.5680282Z * [new tag] viable/strict/1759447415 -> viable/strict/1759447415 2025-12-04T08:57:34.5680688Z * [new tag] viable/strict/1759451750 -> viable/strict/1759451750 2025-12-04T08:57:34.5681323Z * [new tag] viable/strict/1759453910 -> viable/strict/1759453910 2025-12-04T08:57:34.5681649Z * [new tag] viable/strict/1759456483 -> viable/strict/1759456483 2025-12-04T08:57:34.5682237Z * [new tag] viable/strict/1759459279 -> viable/strict/1759459279 2025-12-04T08:57:34.5682677Z * [new tag] viable/strict/1759460742 -> viable/strict/1759460742 2025-12-04T08:57:34.5683122Z * [new tag] viable/strict/1759462025 -> viable/strict/1759462025 2025-12-04T08:57:34.5683587Z * [new tag] viable/strict/1759469086 -> viable/strict/1759469086 2025-12-04T08:57:34.5684046Z * [new tag] viable/strict/1759470581 -> viable/strict/1759470581 2025-12-04T08:57:34.5684562Z * [new tag] viable/strict/1759472786 -> viable/strict/1759472786 2025-12-04T08:57:34.5684988Z * [new tag] viable/strict/1759476294 -> viable/strict/1759476294 2025-12-04T08:57:34.5685695Z * [new tag] viable/strict/1759479963 -> viable/strict/1759479963 2025-12-04T08:57:34.5686047Z * [new tag] viable/strict/1759492177 -> viable/strict/1759492177 2025-12-04T08:57:34.5686460Z * [new tag] viable/strict/1759519278 -> viable/strict/1759519278 2025-12-04T08:57:34.5686939Z * [new tag] viable/strict/1759524580 -> viable/strict/1759524580 2025-12-04T08:57:34.5687379Z * [new tag] viable/strict/1759528193 -> viable/strict/1759528193 2025-12-04T08:57:34.5688138Z * [new tag] viable/strict/1759533797 -> viable/strict/1759533797 2025-12-04T08:57:34.5688468Z * [new tag] viable/strict/1759542780 -> viable/strict/1759542780 2025-12-04T08:57:34.5689042Z * [new tag] viable/strict/1759549779 -> viable/strict/1759549779 2025-12-04T08:57:34.5689490Z * [new tag] viable/strict/1759555455 -> viable/strict/1759555455 2025-12-04T08:57:34.5690324Z * [new tag] viable/strict/1759559176 -> viable/strict/1759559176 2025-12-04T08:57:34.5690450Z * [new tag] viable/strict/1759560629 -> viable/strict/1759560629 2025-12-04T08:57:34.5690836Z * [new tag] viable/strict/1759569848 -> viable/strict/1759569848 2025-12-04T08:57:34.5691613Z * [new tag] viable/strict/1759571382 -> viable/strict/1759571382 2025-12-04T08:57:34.5692363Z * [new tag] viable/strict/1759573474 -> viable/strict/1759573474 2025-12-04T08:57:34.5692734Z * [new tag] viable/strict/1759618187 -> viable/strict/1759618187 2025-12-04T08:57:34.5693170Z * [new tag] viable/strict/1759626742 -> viable/strict/1759626742 2025-12-04T08:57:34.5693735Z * [new tag] viable/strict/1759632427 -> viable/strict/1759632427 2025-12-04T08:57:34.5694076Z * [new tag] viable/strict/1759634971 -> viable/strict/1759634971 2025-12-04T08:57:34.5694750Z * [new tag] viable/strict/1759661382 -> viable/strict/1759661382 2025-12-04T08:57:34.5695141Z * [new tag] viable/strict/1759663294 -> viable/strict/1759663294 2025-12-04T08:57:34.5695560Z * [new tag] viable/strict/1759708178 -> viable/strict/1759708178 2025-12-04T08:57:34.5696042Z * [new tag] viable/strict/1759715695 -> viable/strict/1759715695 2025-12-04T08:57:34.5696512Z * [new tag] viable/strict/1759728293 -> viable/strict/1759728293 2025-12-04T08:57:34.5696894Z * [new tag] viable/strict/1759735513 -> viable/strict/1759735513 2025-12-04T08:57:34.5697490Z * [new tag] viable/strict/1759739177 -> viable/strict/1759739177 2025-12-04T08:57:34.5697829Z * [new tag] viable/strict/1759758635 -> viable/strict/1759758635 2025-12-04T08:57:34.5698418Z * [new tag] viable/strict/1759765784 -> viable/strict/1759765784 2025-12-04T08:57:34.5698735Z * [new tag] viable/strict/1759767948 -> viable/strict/1759767948 2025-12-04T08:57:34.5699383Z * [new tag] viable/strict/1759771461 -> viable/strict/1759771461 2025-12-04T08:57:34.5699599Z * [new tag] viable/strict/1759776706 -> viable/strict/1759776706 2025-12-04T08:57:34.5700424Z * [new tag] viable/strict/1759782317 -> viable/strict/1759782317 2025-12-04T08:57:34.5700841Z * [new tag] viable/strict/1759783777 -> viable/strict/1759783777 2025-12-04T08:57:34.5701505Z * [new tag] viable/strict/1759785815 -> viable/strict/1759785815 2025-12-04T08:57:34.5702093Z * [new tag] viable/strict/1759789459 -> viable/strict/1759789459 2025-12-04T08:57:34.5702836Z * [new tag] viable/strict/1759790974 -> viable/strict/1759790974 2025-12-04T08:57:34.5703084Z * [new tag] viable/strict/1759794583 -> viable/strict/1759794583 2025-12-04T08:57:34.5703875Z * [new tag] viable/strict/1759797408 -> viable/strict/1759797408 2025-12-04T08:57:34.5704310Z * [new tag] viable/strict/1759799518 -> viable/strict/1759799518 2025-12-04T08:57:34.5704707Z * [new tag] viable/strict/1759804909 -> viable/strict/1759804909 2025-12-04T08:57:34.5705250Z * [new tag] viable/strict/1759807643 -> viable/strict/1759807643 2025-12-04T08:57:34.5705758Z * [new tag] viable/strict/1759809089 -> viable/strict/1759809089 2025-12-04T08:57:34.5706271Z * [new tag] viable/strict/1759811145 -> viable/strict/1759811145 2025-12-04T08:57:34.5706765Z * [new tag] viable/strict/1759812581 -> viable/strict/1759812581 2025-12-04T08:57:34.5707379Z * [new tag] viable/strict/1759814683 -> viable/strict/1759814683 2025-12-04T08:57:34.5707822Z * [new tag] viable/strict/1759821889 -> viable/strict/1759821889 2025-12-04T08:57:34.5708506Z * [new tag] viable/strict/1759823376 -> viable/strict/1759823376 2025-12-04T08:57:34.5708860Z * [new tag] viable/strict/1759827107 -> viable/strict/1759827107 2025-12-04T08:57:34.5709313Z * [new tag] viable/strict/1759830577 -> viable/strict/1759830577 2025-12-04T08:57:34.5709863Z * [new tag] viable/strict/1759832720 -> viable/strict/1759832720 2025-12-04T08:57:34.5710591Z * [new tag] viable/strict/1759842063 -> viable/strict/1759842063 2025-12-04T08:57:34.5710859Z * [new tag] viable/strict/1759847121 -> viable/strict/1759847121 2025-12-04T08:57:34.5711872Z * [new tag] viable/strict/1759850721 -> viable/strict/1759850721 2025-12-04T08:57:34.5712059Z * [new tag] viable/strict/1759857870 -> viable/strict/1759857870 2025-12-04T08:57:34.5712638Z * [new tag] viable/strict/1759863143 -> viable/strict/1759863143 2025-12-04T08:57:34.5712993Z * [new tag] viable/strict/1759875874 -> viable/strict/1759875874 2025-12-04T08:57:34.5713375Z * [new tag] viable/strict/1759877385 -> viable/strict/1759877385 2025-12-04T08:57:34.5714069Z * [new tag] viable/strict/1759883801 -> viable/strict/1759883801 2025-12-04T08:57:34.5714326Z * [new tag] viable/strict/1759885922 -> viable/strict/1759885922 2025-12-04T08:57:34.5714967Z * [new tag] viable/strict/1759888488 -> viable/strict/1759888488 2025-12-04T08:57:34.5715262Z * [new tag] viable/strict/1759895471 -> viable/strict/1759895471 2025-12-04T08:57:34.5715897Z * [new tag] viable/strict/1759904803 -> viable/strict/1759904803 2025-12-04T08:57:34.5716345Z * [new tag] viable/strict/1759908300 -> viable/strict/1759908300 2025-12-04T08:57:34.5716926Z * [new tag] viable/strict/1759915520 -> viable/strict/1759915520 2025-12-04T08:57:34.5717319Z * [new tag] viable/strict/1759916978 -> viable/strict/1759916978 2025-12-04T08:57:34.5717705Z * [new tag] viable/strict/1759930024 -> viable/strict/1759930024 2025-12-04T08:57:34.5718284Z * [new tag] viable/strict/1759948122 -> viable/strict/1759948122 2025-12-04T08:57:34.5718676Z * [new tag] viable/strict/1759952983 -> viable/strict/1759952983 2025-12-04T08:57:34.5719346Z * [new tag] viable/strict/1759955121 -> viable/strict/1759955121 2025-12-04T08:57:34.5719664Z * [new tag] viable/strict/1759962298 -> viable/strict/1759962298 2025-12-04T08:57:34.5720122Z * [new tag] viable/strict/1759965837 -> viable/strict/1759965837 2025-12-04T08:57:34.5720643Z * [new tag] viable/strict/1759970213 -> viable/strict/1759970213 2025-12-04T08:57:34.5721089Z * [new tag] viable/strict/1759974894 -> viable/strict/1759974894 2025-12-04T08:57:34.5721567Z * [new tag] viable/strict/1759977763 -> viable/strict/1759977763 2025-12-04T08:57:34.5722135Z * [new tag] viable/strict/1759979241 -> viable/strict/1759979241 2025-12-04T08:57:34.5722548Z * [new tag] viable/strict/1759985417 -> viable/strict/1759985417 2025-12-04T08:57:34.5723001Z * [new tag] viable/strict/1759987490 -> viable/strict/1759987490 2025-12-04T08:57:34.5723468Z * [new tag] viable/strict/1759996180 -> viable/strict/1759996180 2025-12-04T08:57:34.5724281Z * [new tag] viable/strict/1760065682 -> viable/strict/1760065682 2025-12-04T08:57:34.5724847Z * [new tag] viable/strict/1760066894 -> viable/strict/1760066894 2025-12-04T08:57:34.5725420Z * [new tag] viable/strict/1760070345 -> viable/strict/1760070345 2025-12-04T08:57:34.5725805Z * [new tag] viable/strict/1760089782 -> viable/strict/1760089782 2025-12-04T08:57:34.5726266Z * [new tag] viable/strict/1760091921 -> viable/strict/1760091921 2025-12-04T08:57:34.5726877Z * [new tag] viable/strict/1760127924 -> viable/strict/1760127924 2025-12-04T08:57:34.5727262Z * [new tag] viable/strict/1760129489 -> viable/strict/1760129489 2025-12-04T08:57:34.5727908Z * [new tag] viable/strict/1760132980 -> viable/strict/1760132980 2025-12-04T08:57:34.5728298Z * [new tag] viable/strict/1760135060 -> viable/strict/1760135060 2025-12-04T08:57:34.5728743Z * [new tag] viable/strict/1760215782 -> viable/strict/1760215782 2025-12-04T08:57:34.5729344Z * [new tag] viable/strict/1760273849 -> viable/strict/1760273849 2025-12-04T08:57:34.5729723Z * [new tag] viable/strict/1760275517 -> viable/strict/1760275517 2025-12-04T08:57:34.5730177Z * [new tag] viable/strict/1760276979 -> viable/strict/1760276979 2025-12-04T08:57:34.5730669Z * [new tag] viable/strict/1760279007 -> viable/strict/1760279007 2025-12-04T08:57:34.5731027Z * [new tag] viable/strict/1760286328 -> viable/strict/1760286328 2025-12-04T08:57:34.5731364Z * [new tag] viable/strict/1760493304 -> viable/strict/1760493304 2025-12-04T08:57:34.5731933Z * [new tag] viable/strict/1760496298 -> viable/strict/1760496298 2025-12-04T08:57:34.5732340Z * [new tag] viable/strict/1760518396 -> viable/strict/1760518396 2025-12-04T08:57:34.5732790Z * [new tag] viable/strict/1760534864 -> viable/strict/1760534864 2025-12-04T08:57:34.5733251Z * [new tag] viable/strict/1760549062 -> viable/strict/1760549062 2025-12-04T08:57:34.5733869Z * [new tag] viable/strict/1760552799 -> viable/strict/1760552799 2025-12-04T08:57:34.5734206Z * [new tag] viable/strict/1760554355 -> viable/strict/1760554355 2025-12-04T08:57:34.5734946Z * [new tag] viable/strict/1760556275 -> viable/strict/1760556275 2025-12-04T08:57:34.5735280Z * [new tag] viable/strict/1760564979 -> viable/strict/1760564979 2025-12-04T08:57:34.5735843Z * [new tag] viable/strict/1760567049 -> viable/strict/1760567049 2025-12-04T08:57:34.5736732Z * [new tag] viable/strict/1760568585 -> viable/strict/1760568585 2025-12-04T08:57:34.5737030Z * [new tag] viable/strict/1760570630 -> viable/strict/1760570630 2025-12-04T08:57:34.5737708Z * [new tag] viable/strict/1760572180 -> viable/strict/1760572180 2025-12-04T08:57:34.5738046Z * [new tag] viable/strict/1760575094 -> viable/strict/1760575094 2025-12-04T08:57:34.5738691Z * [new tag] viable/strict/1760579709 -> viable/strict/1760579709 2025-12-04T08:57:34.5739606Z * [new tag] viable/strict/1760582614 -> viable/strict/1760582614 2025-12-04T08:57:34.5739966Z * [new tag] viable/strict/1760586815 -> viable/strict/1760586815 2025-12-04T08:57:34.5740448Z * [new tag] viable/strict/1760588829 -> viable/strict/1760588829 2025-12-04T08:57:34.5741018Z * [new tag] viable/strict/1760590200 -> viable/strict/1760590200 2025-12-04T08:57:34.5741549Z * [new tag] viable/strict/1760592311 -> viable/strict/1760592311 2025-12-04T08:57:34.5742078Z * [new tag] viable/strict/1760619733 -> viable/strict/1760619733 2025-12-04T08:57:34.5742532Z * [new tag] viable/strict/1760628335 -> viable/strict/1760628335 2025-12-04T08:57:34.5743078Z * [new tag] viable/strict/1760635490 -> viable/strict/1760635490 2025-12-04T08:57:34.5743585Z * [new tag] viable/strict/1760640743 -> viable/strict/1760640743 2025-12-04T08:57:34.5744111Z * [new tag] viable/strict/1760642528 -> viable/strict/1760642528 2025-12-04T08:57:34.5744645Z * [new tag] viable/strict/1760646330 -> viable/strict/1760646330 2025-12-04T08:57:34.5745154Z * [new tag] viable/strict/1760666101 -> viable/strict/1760666101 2025-12-04T08:57:34.5745802Z * [new tag] viable/strict/1760668990 -> viable/strict/1760668990 2025-12-04T08:57:34.5746270Z * [new tag] viable/strict/1760670600 -> viable/strict/1760670600 2025-12-04T08:57:34.5746742Z * [new tag] viable/strict/1760671704 -> viable/strict/1760671704 2025-12-04T08:57:34.5747462Z * [new tag] viable/strict/1760673121 -> viable/strict/1760673121 2025-12-04T08:57:34.5747656Z * [new tag] viable/strict/1760675352 -> viable/strict/1760675352 2025-12-04T08:57:34.5748168Z * [new tag] viable/strict/1760696731 -> viable/strict/1760696731 2025-12-04T08:57:34.5749891Z * [new tag] viable/strict/1760723515 -> viable/strict/1760723515 2025-12-04T08:57:34.5750215Z * [new tag] viable/strict/1760727234 -> viable/strict/1760727234 2025-12-04T08:57:34.5750851Z * [new tag] viable/strict/1760730578 -> viable/strict/1760730578 2025-12-04T08:57:34.5751252Z * [new tag] viable/strict/1760732726 -> viable/strict/1760732726 2025-12-04T08:57:34.5751724Z * [new tag] viable/strict/1760734180 -> viable/strict/1760734180 2025-12-04T08:57:34.5752403Z * [new tag] viable/strict/1760736251 -> viable/strict/1760736251 2025-12-04T08:57:34.5752747Z * [new tag] viable/strict/1760737772 -> viable/strict/1760737772 2025-12-04T08:57:34.5753419Z * [new tag] viable/strict/1760758005 -> viable/strict/1760758005 2025-12-04T08:57:34.5753681Z * [new tag] viable/strict/1760761532 -> viable/strict/1760761532 2025-12-04T08:57:34.5754266Z * [new tag] viable/strict/1760802581 -> viable/strict/1760802581 2025-12-04T08:57:34.5754597Z * [new tag] viable/strict/1760827772 -> viable/strict/1760827772 2025-12-04T08:57:34.5755358Z * [new tag] viable/strict/1760834524 -> viable/strict/1760834524 2025-12-04T08:57:34.5755778Z * [new tag] viable/strict/1760845009 -> viable/strict/1760845009 2025-12-04T08:57:34.5756406Z * [new tag] viable/strict/1760876836 -> viable/strict/1760876836 2025-12-04T08:57:34.5756750Z * [new tag] viable/strict/1760880329 -> viable/strict/1760880329 2025-12-04T08:57:34.5757229Z * [new tag] viable/strict/1760888987 -> viable/strict/1760888987 2025-12-04T08:57:34.5758161Z * [new tag] viable/strict/1760912664 -> viable/strict/1760912664 2025-12-04T08:57:34.5758512Z * [new tag] viable/strict/1760925321 -> viable/strict/1760925321 2025-12-04T08:57:34.5758981Z * [new tag] viable/strict/1760931488 -> viable/strict/1760931488 2025-12-04T08:57:34.5759616Z * [new tag] viable/strict/1760932693 -> viable/strict/1760932693 2025-12-04T08:57:34.5760030Z * [new tag] viable/strict/1761004184 -> viable/strict/1761004184 2025-12-04T08:57:34.5760633Z * [new tag] viable/strict/1761014748 -> viable/strict/1761014748 2025-12-04T08:57:34.5761018Z * [new tag] viable/strict/1761017491 -> viable/strict/1761017491 2025-12-04T08:57:34.5761459Z * [new tag] viable/strict/1761018806 -> viable/strict/1761018806 2025-12-04T08:57:34.5762107Z * [new tag] viable/strict/1761020754 -> viable/strict/1761020754 2025-12-04T08:57:34.5762458Z * [new tag] viable/strict/1761024303 -> viable/strict/1761024303 2025-12-04T08:57:34.5762913Z * [new tag] viable/strict/1761029582 -> viable/strict/1761029582 2025-12-04T08:57:34.5763514Z * [new tag] viable/strict/1761031535 -> viable/strict/1761031535 2025-12-04T08:57:34.5763904Z * [new tag] viable/strict/1761035196 -> viable/strict/1761035196 2025-12-04T08:57:34.5764478Z * [new tag] viable/strict/1761045825 -> viable/strict/1761045825 2025-12-04T08:57:34.5764836Z * [new tag] viable/strict/1761054796 -> viable/strict/1761054796 2025-12-04T08:57:34.5765611Z * [new tag] viable/strict/1761060314 -> viable/strict/1761060314 2025-12-04T08:57:34.5765888Z * [new tag] viable/strict/1761071198 -> viable/strict/1761071198 2025-12-04T08:57:34.5766493Z * [new tag] viable/strict/1761074628 -> viable/strict/1761074628 2025-12-04T08:57:34.5766844Z * [new tag] viable/strict/1761078351 -> viable/strict/1761078351 2025-12-04T08:57:34.5767643Z * [new tag] viable/strict/1761079822 -> viable/strict/1761079822 2025-12-04T08:57:34.5768005Z * [new tag] viable/strict/1761081873 -> viable/strict/1761081873 2025-12-04T08:57:34.5768596Z * [new tag] viable/strict/1761083392 -> viable/strict/1761083392 2025-12-04T08:57:34.5768997Z * [new tag] viable/strict/1761085465 -> viable/strict/1761085465 2025-12-04T08:57:34.5769626Z * [new tag] viable/strict/1761089099 -> viable/strict/1761089099 2025-12-04T08:57:34.5769915Z * [new tag] viable/strict/1761095535 -> viable/strict/1761095535 2025-12-04T08:57:34.5770643Z * [new tag] viable/strict/1761098119 -> viable/strict/1761098119 2025-12-04T08:57:34.5771280Z * [new tag] viable/strict/1761101330 -> viable/strict/1761101330 2025-12-04T08:57:34.5771679Z * [new tag] viable/strict/1761114425 -> viable/strict/1761114425 2025-12-04T08:57:34.5772300Z * [new tag] viable/strict/1761116036 -> viable/strict/1761116036 2025-12-04T08:57:34.5772579Z * [new tag] viable/strict/1761119379 -> viable/strict/1761119379 2025-12-04T08:57:34.5773157Z * [new tag] viable/strict/1761121601 -> viable/strict/1761121601 2025-12-04T08:57:34.5773467Z * [new tag] viable/strict/1761123234 -> viable/strict/1761123234 2025-12-04T08:57:34.5774098Z * [new tag] viable/strict/1761126621 -> viable/strict/1761126621 2025-12-04T08:57:34.5774399Z * [new tag] viable/strict/1761132259 -> viable/strict/1761132259 2025-12-04T08:57:34.5775056Z * [new tag] viable/strict/1761146746 -> viable/strict/1761146746 2025-12-04T08:57:34.5775382Z * [new tag] viable/strict/1761164752 -> viable/strict/1761164752 2025-12-04T08:57:34.5775870Z * [new tag] viable/strict/1761166198 -> viable/strict/1761166198 2025-12-04T08:57:34.5777344Z * [new tag] viable/strict/1761175424 -> viable/strict/1761175424 2025-12-04T08:57:34.5777513Z * [new tag] viable/strict/1761176983 -> viable/strict/1761176983 2025-12-04T08:57:34.5777630Z * [new tag] viable/strict/1761179891 -> viable/strict/1761179891 2025-12-04T08:57:34.5777819Z * [new tag] viable/strict/1761181930 -> viable/strict/1761181930 2025-12-04T08:57:34.5778426Z * [new tag] viable/strict/1761184516 -> viable/strict/1761184516 2025-12-04T08:57:34.5778994Z * [new tag] viable/strict/1761190179 -> viable/strict/1761190179 2025-12-04T08:57:34.5779290Z * [new tag] viable/strict/1761193558 -> viable/strict/1761193558 2025-12-04T08:57:34.5780028Z * [new tag] viable/strict/1761207990 -> viable/strict/1761207990 2025-12-04T08:57:34.5780459Z * [new tag] viable/strict/1761229539 -> viable/strict/1761229539 2025-12-04T08:57:34.5781362Z * [new tag] viable/strict/1761244031 -> viable/strict/1761244031 2025-12-04T08:57:34.5781730Z * [new tag] viable/strict/1761248986 -> viable/strict/1761248986 2025-12-04T08:57:34.5782443Z * [new tag] viable/strict/1761259791 -> viable/strict/1761259791 2025-12-04T08:57:34.5782760Z * [new tag] viable/strict/1761266139 -> viable/strict/1761266139 2025-12-04T08:57:34.5783554Z * [new tag] viable/strict/1761268316 -> viable/strict/1761268316 2025-12-04T08:57:34.5783962Z * [new tag] viable/strict/1761273805 -> viable/strict/1761273805 2025-12-04T08:57:34.5784502Z * [new tag] viable/strict/1761275261 -> viable/strict/1761275261 2025-12-04T08:57:34.5785108Z * [new tag] viable/strict/1761277913 -> viable/strict/1761277913 2025-12-04T08:57:34.5785806Z * [new tag] viable/strict/1761290701 -> viable/strict/1761290701 2025-12-04T08:57:34.5786164Z * [new tag] viable/strict/1761294396 -> viable/strict/1761294396 2025-12-04T08:57:34.5786801Z * [new tag] viable/strict/1761303047 -> viable/strict/1761303047 2025-12-04T08:57:34.5787199Z * [new tag] viable/strict/1761335388 -> viable/strict/1761335388 2025-12-04T08:57:34.5787657Z * [new tag] viable/strict/1761337551 -> viable/strict/1761337551 2025-12-04T08:57:34.5788098Z * [new tag] viable/strict/1761339007 -> viable/strict/1761339007 2025-12-04T08:57:34.5788563Z * [new tag] viable/strict/1761341050 -> viable/strict/1761341050 2025-12-04T08:57:34.5789365Z * [new tag] viable/strict/1761346188 -> viable/strict/1761346188 2025-12-04T08:57:34.5789699Z * [new tag] viable/strict/1761349792 -> viable/strict/1761349792 2025-12-04T08:57:34.5790354Z * [new tag] viable/strict/1761352620 -> viable/strict/1761352620 2025-12-04T08:57:34.5791212Z * [new tag] viable/strict/1761354730 -> viable/strict/1761354730 2025-12-04T08:57:34.5791561Z * [new tag] viable/strict/1761357298 -> viable/strict/1761357298 2025-12-04T08:57:34.5792204Z * [new tag] viable/strict/1761360201 -> viable/strict/1761360201 2025-12-04T08:57:34.5792532Z * [new tag] viable/strict/1761361753 -> viable/strict/1761361753 2025-12-04T08:57:34.5793000Z * [new tag] viable/strict/1761364351 -> viable/strict/1761364351 2025-12-04T08:57:34.5793660Z * [new tag] viable/strict/1761366338 -> viable/strict/1761366338 2025-12-04T08:57:34.5794129Z * [new tag] viable/strict/1761367802 -> viable/strict/1761367802 2025-12-04T08:57:34.5794710Z * [new tag] viable/strict/1761369889 -> viable/strict/1761369889 2025-12-04T08:57:34.5795127Z * [new tag] viable/strict/1761371385 -> viable/strict/1761371385 2025-12-04T08:57:34.5795722Z * [new tag] viable/strict/1761373581 -> viable/strict/1761373581 2025-12-04T08:57:34.5796392Z * [new tag] viable/strict/1761375054 -> viable/strict/1761375054 2025-12-04T08:57:34.5796778Z * [new tag] viable/strict/1761421785 -> viable/strict/1761421785 2025-12-04T08:57:34.5797461Z * [new tag] viable/strict/1761434614 -> viable/strict/1761434614 2025-12-04T08:57:34.5798184Z * [new tag] viable/strict/1761439254 -> viable/strict/1761439254 2025-12-04T08:57:34.5798543Z * [new tag] viable/strict/1761454187 -> viable/strict/1761454187 2025-12-04T08:57:34.5799219Z * [new tag] viable/strict/1761459991 -> viable/strict/1761459991 2025-12-04T08:57:34.5799645Z * [new tag] viable/strict/1761470668 -> viable/strict/1761470668 2025-12-04T08:57:34.5800535Z * [new tag] viable/strict/1761472188 -> viable/strict/1761472188 2025-12-04T08:57:34.5800925Z * [new tag] viable/strict/1761503178 -> viable/strict/1761503178 2025-12-04T08:57:34.5801605Z * [new tag] viable/strict/1761517492 -> viable/strict/1761517492 2025-12-04T08:57:34.5802053Z * [new tag] viable/strict/1761518981 -> viable/strict/1761518981 2025-12-04T08:57:34.5802924Z * [new tag] viable/strict/1761533609 -> viable/strict/1761533609 2025-12-04T08:57:34.5803205Z * [new tag] viable/strict/1761546438 -> viable/strict/1761546438 2025-12-04T08:57:34.5804095Z * [new tag] viable/strict/1761548133 -> viable/strict/1761548133 2025-12-04T08:57:34.5804883Z * [new tag] viable/strict/1761555186 -> viable/strict/1761555186 2025-12-04T08:57:34.5805493Z * [new tag] viable/strict/1761557178 -> viable/strict/1761557178 2025-12-04T08:57:34.5806122Z * [new tag] viable/strict/1761560772 -> viable/strict/1761560772 2025-12-04T08:57:34.5806547Z * [new tag] viable/strict/1761562266 -> viable/strict/1761562266 2025-12-04T08:57:34.5807222Z * [new tag] viable/strict/1761564260 -> viable/strict/1761564260 2025-12-04T08:57:34.5807621Z * [new tag] viable/strict/1761568072 -> viable/strict/1761568072 2025-12-04T08:57:34.5808051Z * [new tag] viable/strict/1761571683 -> viable/strict/1761571683 2025-12-04T08:57:34.5808517Z * [new tag] viable/strict/1761580199 -> viable/strict/1761580199 2025-12-04T08:57:34.5808917Z * [new tag] viable/strict/1761587383 -> viable/strict/1761587383 2025-12-04T08:57:34.5809609Z * [new tag] viable/strict/1761591165 -> viable/strict/1761591165 2025-12-04T08:57:34.5809830Z * [new tag] viable/strict/1761594575 -> viable/strict/1761594575 2025-12-04T08:57:34.5810526Z * [new tag] viable/strict/1761596710 -> viable/strict/1761596710 2025-12-04T08:57:34.5810878Z * [new tag] viable/strict/1761598189 -> viable/strict/1761598189 2025-12-04T08:57:34.5811509Z * [new tag] viable/strict/1761600254 -> viable/strict/1761600254 2025-12-04T08:57:34.5811884Z * [new tag] viable/strict/1761603879 -> viable/strict/1761603879 2025-12-04T08:57:34.5812523Z * [new tag] viable/strict/1761605429 -> viable/strict/1761605429 2025-12-04T08:57:34.5812958Z * [new tag] viable/strict/1761607468 -> viable/strict/1761607468 2025-12-04T08:57:34.5813408Z * [new tag] viable/strict/1761608983 -> viable/strict/1761608983 2025-12-04T08:57:34.5813976Z * [new tag] viable/strict/1761611846 -> viable/strict/1761611846 2025-12-04T08:57:34.5814386Z * [new tag] viable/strict/1761613922 -> viable/strict/1761613922 2025-12-04T08:57:34.5814775Z * [new tag] viable/strict/1761616504 -> viable/strict/1761616504 2025-12-04T08:57:34.5815183Z * [new tag] viable/strict/1761619599 -> viable/strict/1761619599 2025-12-04T08:57:34.5815847Z * [new tag] viable/strict/1761686693 -> viable/strict/1761686693 2025-12-04T08:57:34.5816238Z * [new tag] viable/strict/1761688179 -> viable/strict/1761688179 2025-12-04T08:57:34.5816558Z * [new tag] viable/strict/1761691973 -> viable/strict/1761691973 2025-12-04T08:57:34.5817272Z * [new tag] viable/strict/1761693884 -> viable/strict/1761693884 2025-12-04T08:57:34.5817627Z * [new tag] viable/strict/1761695389 -> viable/strict/1761695389 2025-12-04T08:57:34.5818292Z * [new tag] viable/strict/1761698408 -> viable/strict/1761698408 2025-12-04T08:57:34.5818593Z * [new tag] viable/strict/1761702931 -> viable/strict/1761702931 2025-12-04T08:57:34.5819156Z * [new tag] viable/strict/1761706307 -> viable/strict/1761706307 2025-12-04T08:57:34.5819574Z * [new tag] viable/strict/1761709065 -> viable/strict/1761709065 2025-12-04T08:57:34.5820203Z * [new tag] viable/strict/1761710285 -> viable/strict/1761710285 2025-12-04T08:57:34.5820887Z * [new tag] viable/strict/1761711983 -> viable/strict/1761711983 2025-12-04T08:57:34.5821436Z * [new tag] viable/strict/1761713514 -> viable/strict/1761713514 2025-12-04T08:57:34.5822132Z * [new tag] viable/strict/1761715523 -> viable/strict/1761715523 2025-12-04T08:57:34.5822589Z * [new tag] viable/strict/1761727973 -> viable/strict/1761727973 2025-12-04T08:57:34.5823178Z * [new tag] viable/strict/1761751558 -> viable/strict/1761751558 2025-12-04T08:57:34.5823611Z * [new tag] viable/strict/1761755187 -> viable/strict/1761755187 2025-12-04T08:57:34.5824214Z * [new tag] viable/strict/1761756826 -> viable/strict/1761756826 2025-12-04T08:57:34.5824635Z * [new tag] viable/strict/1761769551 -> viable/strict/1761769551 2025-12-04T08:57:34.5825673Z * [new tag] viable/strict/1761771032 -> viable/strict/1761771032 2025-12-04T08:57:34.5825990Z * [new tag] viable/strict/1761773101 -> viable/strict/1761773101 2025-12-04T08:57:34.5826587Z * [new tag] viable/strict/1761781792 -> viable/strict/1761781792 2025-12-04T08:57:34.5826993Z * [new tag] viable/strict/1761784788 -> viable/strict/1761784788 2025-12-04T08:57:34.5827668Z * [new tag] viable/strict/1761786740 -> viable/strict/1761786740 2025-12-04T08:57:34.5828201Z * [new tag] viable/strict/1761789332 -> viable/strict/1761789332 2025-12-04T08:57:34.5829449Z * [new tag] viable/strict/1761792569 -> viable/strict/1761792569 2025-12-04T08:57:34.5829573Z * [new tag] viable/strict/1761795289 -> viable/strict/1761795289 2025-12-04T08:57:34.5829944Z * [new tag] viable/strict/1761798345 -> viable/strict/1761798345 2025-12-04T08:57:34.5830638Z * [new tag] viable/strict/1761799827 -> viable/strict/1761799827 2025-12-04T08:57:34.5831042Z * [new tag] viable/strict/1761805604 -> viable/strict/1761805604 2025-12-04T08:57:34.5831729Z * [new tag] viable/strict/1761807202 -> viable/strict/1761807202 2025-12-04T08:57:34.5832090Z * [new tag] viable/strict/1761809094 -> viable/strict/1761809094 2025-12-04T08:57:34.5832697Z * [new tag] viable/strict/1761810576 -> viable/strict/1761810576 2025-12-04T08:57:34.5833270Z * [new tag] viable/strict/1761812771 -> viable/strict/1761812771 2025-12-04T08:57:34.5833799Z * [new tag] viable/strict/1761814363 -> viable/strict/1761814363 2025-12-04T08:57:34.5834341Z * [new tag] viable/strict/1761857410 -> viable/strict/1761857410 2025-12-04T08:57:34.5834721Z * [new tag] viable/strict/1761860985 -> viable/strict/1761860985 2025-12-04T08:57:34.5835391Z * [new tag] viable/strict/1761863094 -> viable/strict/1761863094 2025-12-04T08:57:34.5835803Z * [new tag] viable/strict/1761864590 -> viable/strict/1761864590 2025-12-04T08:57:34.5836271Z * [new tag] viable/strict/1761866675 -> viable/strict/1761866675 2025-12-04T08:57:34.5837044Z * [new tag] viable/strict/1761868178 -> viable/strict/1761868178 2025-12-04T08:57:34.5837515Z * [new tag] viable/strict/1761871111 -> viable/strict/1761871111 2025-12-04T08:57:34.5838096Z * [new tag] viable/strict/1761873126 -> viable/strict/1761873126 2025-12-04T08:57:34.5838667Z * [new tag] viable/strict/1761875714 -> viable/strict/1761875714 2025-12-04T08:57:34.5839126Z * [new tag] viable/strict/1761878924 -> viable/strict/1761878924 2025-12-04T08:57:34.5839714Z * [new tag] viable/strict/1761881727 -> viable/strict/1761881727 2025-12-04T08:57:34.5840220Z * [new tag] viable/strict/1761882959 -> viable/strict/1761882959 2025-12-04T08:57:34.5840792Z * [new tag] viable/strict/1761886268 -> viable/strict/1761886268 2025-12-04T08:57:34.5841235Z * [new tag] viable/strict/1761893641 -> viable/strict/1761893641 2025-12-04T08:57:34.5841825Z * [new tag] viable/strict/1761931517 -> viable/strict/1761931517 2025-12-04T08:57:34.5842292Z * [new tag] viable/strict/1761933080 -> viable/strict/1761933080 2025-12-04T08:57:34.5842819Z * [new tag] viable/strict/1761935217 -> viable/strict/1761935217 2025-12-04T08:57:34.5843409Z * [new tag] viable/strict/1761938533 -> viable/strict/1761938533 2025-12-04T08:57:34.5843992Z * [new tag] viable/strict/1761940184 -> viable/strict/1761940184 2025-12-04T08:57:34.5844479Z * [new tag] viable/strict/1761942338 -> viable/strict/1761942338 2025-12-04T08:57:34.5845003Z * [new tag] viable/strict/1761946100 -> viable/strict/1761946100 2025-12-04T08:57:34.5845723Z * [new tag] viable/strict/1761947374 -> viable/strict/1761947374 2025-12-04T08:57:34.5846070Z * [new tag] viable/strict/1761950978 -> viable/strict/1761950978 2025-12-04T08:57:34.5846651Z * [new tag] viable/strict/1761957727 -> viable/strict/1761957727 2025-12-04T08:57:34.5847059Z * [new tag] viable/strict/1761959532 -> viable/strict/1761959532 2025-12-04T08:57:34.5847700Z * [new tag] viable/strict/1761965366 -> viable/strict/1761965366 2025-12-04T08:57:34.5848263Z * [new tag] viable/strict/1761968066 -> viable/strict/1761968066 2025-12-04T08:57:34.5848752Z * [new tag] viable/strict/1761969322 -> viable/strict/1761969322 2025-12-04T08:57:34.5849378Z * [new tag] viable/strict/1761974723 -> viable/strict/1761974723 2025-12-04T08:57:34.5851944Z * [new tag] viable/strict/1761981837 -> viable/strict/1761981837 2025-12-04T08:57:34.5852111Z * [new tag] viable/strict/1761985546 -> viable/strict/1761985546 2025-12-04T08:57:34.5852223Z * [new tag] viable/strict/1761987030 -> viable/strict/1761987030 2025-12-04T08:57:34.5852342Z * [new tag] viable/strict/1762003554 -> viable/strict/1762003554 2025-12-04T08:57:34.5852453Z * [new tag] viable/strict/1762021560 -> viable/strict/1762021560 2025-12-04T08:57:34.5853047Z * [new tag] viable/strict/1762032190 -> viable/strict/1762032190 2025-12-04T08:57:34.5853375Z * [new tag] viable/strict/1762040981 -> viable/strict/1762040981 2025-12-04T08:57:34.5853741Z * [new tag] viable/strict/1762048525 -> viable/strict/1762048525 2025-12-04T08:57:34.5854358Z * [new tag] viable/strict/1762104223 -> viable/strict/1762104223 2025-12-04T08:57:34.5854827Z * [new tag] viable/strict/1762105778 -> viable/strict/1762105778 2025-12-04T08:57:34.5855255Z * [new tag] viable/strict/1762115109 -> viable/strict/1762115109 2025-12-04T08:57:34.5855847Z * [new tag] viable/strict/1762125840 -> viable/strict/1762125840 2025-12-04T08:57:34.5856115Z * [new tag] viable/strict/1762127377 -> viable/strict/1762127377 2025-12-04T08:57:34.5857015Z * [new tag] viable/strict/1762134925 -> viable/strict/1762134925 2025-12-04T08:57:34.5857337Z * [new tag] viable/strict/1762138338 -> viable/strict/1762138338 2025-12-04T08:57:34.5857998Z * [new tag] viable/strict/1762148993 -> viable/strict/1762148993 2025-12-04T08:57:34.5858363Z * [new tag] viable/strict/1762152871 -> viable/strict/1762152871 2025-12-04T08:57:34.5858941Z * [new tag] viable/strict/1762156183 -> viable/strict/1762156183 2025-12-04T08:57:34.5859354Z * [new tag] viable/strict/1762163457 -> viable/strict/1762163457 2025-12-04T08:57:34.5860506Z * [new tag] viable/strict/1762165569 -> viable/strict/1762165569 2025-12-04T08:57:34.5860971Z * [new tag] viable/strict/1762169035 -> viable/strict/1762169035 2025-12-04T08:57:34.5861667Z * [new tag] viable/strict/1762174936 -> viable/strict/1762174936 2025-12-04T08:57:34.5862143Z * [new tag] viable/strict/1762194412 -> viable/strict/1762194412 2025-12-04T08:57:34.5862846Z * [new tag] viable/strict/1762195876 -> viable/strict/1762195876 2025-12-04T08:57:34.5863501Z * [new tag] viable/strict/1762197788 -> viable/strict/1762197788 2025-12-04T08:57:34.5864208Z * [new tag] viable/strict/1762199389 -> viable/strict/1762199389 2025-12-04T08:57:34.5865041Z * [new tag] viable/strict/1762206585 -> viable/strict/1762206585 2025-12-04T08:57:34.5865742Z * [new tag] viable/strict/1762210184 -> viable/strict/1762210184 2025-12-04T08:57:34.5866091Z * [new tag] viable/strict/1762218736 -> viable/strict/1762218736 2025-12-04T08:57:34.5866801Z * [new tag] viable/strict/1762224529 -> viable/strict/1762224529 2025-12-04T08:57:34.5867473Z * [new tag] viable/strict/1762227253 -> viable/strict/1762227253 2025-12-04T08:57:34.5867817Z * [new tag] viable/strict/1762228515 -> viable/strict/1762228515 2025-12-04T08:57:34.5868721Z * [new tag] viable/strict/1762230349 -> viable/strict/1762230349 2025-12-04T08:57:34.5868920Z * [new tag] viable/strict/1762231859 -> viable/strict/1762231859 2025-12-04T08:57:34.5869567Z * [new tag] viable/strict/1762233925 -> viable/strict/1762233925 2025-12-04T08:57:34.5870218Z * [new tag] viable/strict/1762237630 -> viable/strict/1762237630 2025-12-04T08:57:34.5870564Z * [new tag] viable/strict/1762253522 -> viable/strict/1762253522 2025-12-04T08:57:34.5871246Z * [new tag] viable/strict/1762278588 -> viable/strict/1762278588 2025-12-04T08:57:34.5871630Z * [new tag] viable/strict/1762284203 -> viable/strict/1762284203 2025-12-04T08:57:34.5872322Z * [new tag] viable/strict/1762289446 -> viable/strict/1762289446 2025-12-04T08:57:34.5872711Z * [new tag] viable/strict/1762291515 -> viable/strict/1762291515 2025-12-04T08:57:34.5873397Z * [new tag] viable/strict/1762295100 -> viable/strict/1762295100 2025-12-04T08:57:34.5873733Z * [new tag] viable/strict/1762296590 -> viable/strict/1762296590 2025-12-04T08:57:34.5874128Z * [new tag] viable/strict/1762300179 -> viable/strict/1762300179 2025-12-04T08:57:34.5874545Z * [new tag] viable/strict/1762303207 -> viable/strict/1762303207 2025-12-04T08:57:34.5875251Z * [new tag] viable/strict/1762386584 -> viable/strict/1762386584 2025-12-04T08:57:34.5875595Z * [new tag] viable/strict/1762391537 -> viable/strict/1762391537 2025-12-04T08:57:34.5876018Z * [new tag] viable/strict/1762394119 -> viable/strict/1762394119 2025-12-04T08:57:34.5876899Z * [new tag] viable/strict/1762397437 -> viable/strict/1762397437 2025-12-04T08:57:34.5877351Z * [new tag] viable/strict/1762400256 -> viable/strict/1762400256 2025-12-04T08:57:34.5877978Z * [new tag] viable/strict/1762401469 -> viable/strict/1762401469 2025-12-04T08:57:34.5878614Z * [new tag] viable/strict/1762408195 -> viable/strict/1762408195 2025-12-04T08:57:34.5878992Z * [new tag] viable/strict/1762410411 -> viable/strict/1762410411 2025-12-04T08:57:34.5879663Z * [new tag] viable/strict/1762417613 -> viable/strict/1762417613 2025-12-04T08:57:34.5880045Z * [new tag] viable/strict/1762419198 -> viable/strict/1762419198 2025-12-04T08:57:34.5880637Z * [new tag] viable/strict/1762422656 -> viable/strict/1762422656 2025-12-04T08:57:34.5881503Z * [new tag] viable/strict/1762424746 -> viable/strict/1762424746 2025-12-04T08:57:34.5882077Z * [new tag] viable/strict/1762446386 -> viable/strict/1762446386 2025-12-04T08:57:34.5882488Z * [new tag] viable/strict/1762449912 -> viable/strict/1762449912 2025-12-04T08:57:34.5883126Z * [new tag] viable/strict/1762457031 -> viable/strict/1762457031 2025-12-04T08:57:34.5883487Z * [new tag] viable/strict/1762462441 -> viable/strict/1762462441 2025-12-04T08:57:34.5884146Z * [new tag] viable/strict/1762467909 -> viable/strict/1762467909 2025-12-04T08:57:34.5884555Z * [new tag] viable/strict/1762471493 -> viable/strict/1762471493 2025-12-04T08:57:34.5885223Z * [new tag] viable/strict/1762475990 -> viable/strict/1762475990 2025-12-04T08:57:34.5885676Z * [new tag] viable/strict/1762477933 -> viable/strict/1762477933 2025-12-04T08:57:34.5886271Z * [new tag] viable/strict/1762491053 -> viable/strict/1762491053 2025-12-04T08:57:34.5886679Z * [new tag] viable/strict/1762493118 -> viable/strict/1762493118 2025-12-04T08:57:34.5887300Z * [new tag] viable/strict/1762498442 -> viable/strict/1762498442 2025-12-04T08:57:34.5887716Z * [new tag] viable/strict/1762501778 -> viable/strict/1762501778 2025-12-04T08:57:34.5888277Z * [new tag] viable/strict/1762504001 -> viable/strict/1762504001 2025-12-04T08:57:34.5888851Z * [new tag] viable/strict/1762505583 -> viable/strict/1762505583 2025-12-04T08:57:34.5889422Z * [new tag] viable/strict/1762507523 -> viable/strict/1762507523 2025-12-04T08:57:34.5889880Z * [new tag] viable/strict/1762511140 -> viable/strict/1762511140 2025-12-04T08:57:34.5890656Z * [new tag] viable/strict/1762512632 -> viable/strict/1762512632 2025-12-04T08:57:34.5891086Z * [new tag] viable/strict/1762520467 -> viable/strict/1762520467 2025-12-04T08:57:34.5891744Z * [new tag] viable/strict/1762522016 -> viable/strict/1762522016 2025-12-04T08:57:34.5892129Z * [new tag] viable/strict/1762530591 -> viable/strict/1762530591 2025-12-04T08:57:34.5892699Z * [new tag] viable/strict/1762543405 -> viable/strict/1762543405 2025-12-04T08:57:34.5893058Z * [new tag] viable/strict/1762544998 -> viable/strict/1762544998 2025-12-04T08:57:34.5893620Z * [new tag] viable/strict/1762552182 -> viable/strict/1762552182 2025-12-04T08:57:34.5894057Z * [new tag] viable/strict/1762554297 -> viable/strict/1762554297 2025-12-04T08:57:34.5894464Z * [new tag] viable/strict/1762559381 -> viable/strict/1762559381 2025-12-04T08:57:34.5895180Z * [new tag] viable/strict/1762562222 -> viable/strict/1762562222 2025-12-04T08:57:34.5895988Z * [new tag] viable/strict/1762564319 -> viable/strict/1762564319 2025-12-04T08:57:34.5896276Z * [new tag] viable/strict/1762566904 -> viable/strict/1762566904 2025-12-04T08:57:34.5896871Z * [new tag] viable/strict/1762569781 -> viable/strict/1762569781 2025-12-04T08:57:34.5897260Z * [new tag] viable/strict/1762575940 -> viable/strict/1762575940 2025-12-04T08:57:34.5897838Z * [new tag] viable/strict/1762580974 -> viable/strict/1762580974 2025-12-04T08:57:34.5898448Z * [new tag] viable/strict/1762583185 -> viable/strict/1762583185 2025-12-04T08:57:34.5898833Z * [new tag] viable/strict/1762586647 -> viable/strict/1762586647 2025-12-04T08:57:34.5899422Z * [new tag] viable/strict/1762588183 -> viable/strict/1762588183 2025-12-04T08:57:34.5900062Z * [new tag] viable/strict/1762593886 -> viable/strict/1762593886 2025-12-04T08:57:34.5900520Z * [new tag] viable/strict/1762650743 -> viable/strict/1762650743 2025-12-04T08:57:34.5901266Z * [new tag] viable/strict/1762653328 -> viable/strict/1762653328 2025-12-04T08:57:34.5901832Z * [new tag] viable/strict/1762659342 -> viable/strict/1762659342 2025-12-04T08:57:34.5902916Z * [new tag] viable/strict/1762662360 -> viable/strict/1762662360 2025-12-04T08:57:34.5903270Z * [new tag] viable/strict/1762667377 -> viable/strict/1762667377 2025-12-04T08:57:34.5903990Z * [new tag] viable/strict/1762671090 -> viable/strict/1762671090 2025-12-04T08:57:34.5904558Z * [new tag] viable/strict/1762680284 -> viable/strict/1762680284 2025-12-04T08:57:34.5905175Z * [new tag] viable/strict/1762683900 -> viable/strict/1762683900 2025-12-04T08:57:34.5905800Z * [new tag] viable/strict/1762705541 -> viable/strict/1762705541 2025-12-04T08:57:34.5906381Z * [new tag] viable/strict/1762709004 -> viable/strict/1762709004 2025-12-04T08:57:34.5907011Z * [new tag] viable/strict/1762746004 -> viable/strict/1762746004 2025-12-04T08:57:34.5907708Z * [new tag] viable/strict/1762748799 -> viable/strict/1762748799 2025-12-04T08:57:34.5908396Z * [new tag] viable/strict/1762759504 -> viable/strict/1762759504 2025-12-04T08:57:34.5908962Z * [new tag] viable/strict/1762760973 -> viable/strict/1762760973 2025-12-04T08:57:34.5909402Z * [new tag] viable/strict/1762775374 -> viable/strict/1762775374 2025-12-04T08:57:34.5909998Z * [new tag] viable/strict/1762777661 -> viable/strict/1762777661 2025-12-04T08:57:34.5910463Z * [new tag] viable/strict/1762779774 -> viable/strict/1762779774 2025-12-04T08:57:34.5911180Z * [new tag] viable/strict/1762781259 -> viable/strict/1762781259 2025-12-04T08:57:34.5911816Z * [new tag] viable/strict/1762793628 -> viable/strict/1762793628 2025-12-04T08:57:34.5912248Z * [new tag] viable/strict/1762800711 -> viable/strict/1762800711 2025-12-04T08:57:34.5912825Z * [new tag] viable/strict/1762809894 -> viable/strict/1762809894 2025-12-04T08:57:34.5913248Z * [new tag] viable/strict/1762811384 -> viable/strict/1762811384 2025-12-04T08:57:34.5913928Z * [new tag] viable/strict/1762813841 -> viable/strict/1762813841 2025-12-04T08:57:34.5914363Z * [new tag] viable/strict/1762815047 -> viable/strict/1762815047 2025-12-04T08:57:34.5915135Z * [new tag] viable/strict/1762817094 -> viable/strict/1762817094 2025-12-04T08:57:34.5915506Z * [new tag] viable/strict/1762818582 -> viable/strict/1762818582 2025-12-04T08:57:34.5916125Z * [new tag] viable/strict/1762821623 -> viable/strict/1762821623 2025-12-04T08:57:34.5916469Z * [new tag] viable/strict/1762823531 -> viable/strict/1762823531 2025-12-04T08:57:34.5917261Z * [new tag] viable/strict/1762849583 -> viable/strict/1762849583 2025-12-04T08:57:34.5917621Z * [new tag] viable/strict/1762851200 -> viable/strict/1762851200 2025-12-04T08:57:34.5918235Z * [new tag] viable/strict/1762854603 -> viable/strict/1762854603 2025-12-04T08:57:34.5918729Z * [new tag] viable/strict/1762858276 -> viable/strict/1762858276 2025-12-04T08:57:34.5919338Z * [new tag] viable/strict/1762860891 -> viable/strict/1762860891 2025-12-04T08:57:34.5920384Z * [new tag] viable/strict/1762866174 -> viable/strict/1762866174 2025-12-04T08:57:34.5920825Z * [new tag] viable/strict/1762867653 -> viable/strict/1762867653 2025-12-04T08:57:34.5921483Z * [new tag] viable/strict/1762872669 -> viable/strict/1762872669 2025-12-04T08:57:34.5921750Z * [new tag] viable/strict/1762878380 -> viable/strict/1762878380 2025-12-04T08:57:34.5922386Z * [new tag] viable/strict/1762889003 -> viable/strict/1762889003 2025-12-04T08:57:34.5922858Z * [new tag] viable/strict/1762890589 -> viable/strict/1762890589 2025-12-04T08:57:34.5923477Z * [new tag] viable/strict/1762892743 -> viable/strict/1762892743 2025-12-04T08:57:34.5923922Z * [new tag] viable/strict/1762894271 -> viable/strict/1762894271 2025-12-04T08:57:34.5924347Z * [new tag] viable/strict/1762896287 -> viable/strict/1762896287 2025-12-04T08:57:34.5924937Z * [new tag] viable/strict/1762915871 -> viable/strict/1762915871 2025-12-04T08:57:34.5925511Z * [new tag] viable/strict/1762918569 -> viable/strict/1762918569 2025-12-04T08:57:34.5925808Z * [new tag] viable/strict/1762919776 -> viable/strict/1762919776 2025-12-04T08:57:34.5926434Z * [new tag] viable/strict/1762923072 -> viable/strict/1762923072 2025-12-04T08:57:34.5927001Z * [new tag] viable/strict/1762928826 -> viable/strict/1762928826 2025-12-04T08:57:34.5927677Z * [new tag] viable/strict/1762930451 -> viable/strict/1762930451 2025-12-04T08:57:34.5928117Z * [new tag] viable/strict/1762933780 -> viable/strict/1762933780 2025-12-04T08:57:34.5928697Z * [new tag] viable/strict/1762937638 -> viable/strict/1762937638 2025-12-04T08:57:34.5929357Z * [new tag] viable/strict/1762939545 -> viable/strict/1762939545 2025-12-04T08:57:34.5929753Z * [new tag] viable/strict/1762962692 -> viable/strict/1762962692 2025-12-04T08:57:34.5930407Z * [new tag] viable/strict/1762979143 -> viable/strict/1762979143 2025-12-04T08:57:34.5930744Z * [new tag] viable/strict/1762984188 -> viable/strict/1762984188 2025-12-04T08:57:34.5931517Z * [new tag] viable/strict/1762986306 -> viable/strict/1762986306 2025-12-04T08:57:34.5932244Z * [new tag] viable/strict/1762989903 -> viable/strict/1762989903 2025-12-04T08:57:34.5932610Z * [new tag] viable/strict/1762991377 -> viable/strict/1762991377 2025-12-04T08:57:34.5933252Z * [new tag] viable/strict/1762998921 -> viable/strict/1762998921 2025-12-04T08:57:34.5933923Z * [new tag] viable/strict/1763002287 -> viable/strict/1763002287 2025-12-04T08:57:34.5934383Z * [new tag] viable/strict/1763016840 -> viable/strict/1763016840 2025-12-04T08:57:34.5935048Z * [new tag] viable/strict/1763020180 -> viable/strict/1763020180 2025-12-04T08:57:34.5935667Z * [new tag] viable/strict/1763027421 -> viable/strict/1763027421 2025-12-04T08:57:34.5936107Z * [new tag] viable/strict/1763031120 -> viable/strict/1763031120 2025-12-04T08:57:34.5936675Z * [new tag] viable/strict/1763036861 -> viable/strict/1763036861 2025-12-04T08:57:34.5937122Z * [new tag] viable/strict/1763038993 -> viable/strict/1763038993 2025-12-04T08:57:34.5937780Z * [new tag] viable/strict/1763054703 -> viable/strict/1763054703 2025-12-04T08:57:34.5938122Z * [new tag] viable/strict/1763067061 -> viable/strict/1763067061 2025-12-04T08:57:34.5938683Z * [new tag] viable/strict/1763070847 -> viable/strict/1763070847 2025-12-04T08:57:34.5939186Z * [new tag] viable/strict/1763072706 -> viable/strict/1763072706 2025-12-04T08:57:34.5939952Z * [new tag] viable/strict/1763076302 -> viable/strict/1763076302 2025-12-04T08:57:34.5940428Z * [new tag] viable/strict/1763080816 -> viable/strict/1763080816 2025-12-04T08:57:34.5941039Z * [new tag] viable/strict/1763082732 -> viable/strict/1763082732 2025-12-04T08:57:34.5941530Z * [new tag] viable/strict/1763085329 -> viable/strict/1763085329 2025-12-04T08:57:34.5942204Z * [new tag] viable/strict/1763088623 -> viable/strict/1763088623 2025-12-04T08:57:34.5942927Z * [new tag] viable/strict/1763091402 -> viable/strict/1763091402 2025-12-04T08:57:34.5943309Z * [new tag] viable/strict/1763092602 -> viable/strict/1763092602 2025-12-04T08:57:34.5943965Z * [new tag] viable/strict/1763094355 -> viable/strict/1763094355 2025-12-04T08:57:34.5944344Z * [new tag] viable/strict/1763099390 -> viable/strict/1763099390 2025-12-04T08:57:34.5945087Z * [new tag] viable/strict/1763101608 -> viable/strict/1763101608 2025-12-04T08:57:34.5945469Z * [new tag] viable/strict/1763105102 -> viable/strict/1763105102 2025-12-04T08:57:34.5946199Z * [new tag] viable/strict/1763112347 -> viable/strict/1763112347 2025-12-04T08:57:34.5946680Z * [new tag] viable/strict/1763119471 -> viable/strict/1763119471 2025-12-04T08:57:34.5947135Z * [new tag] viable/strict/1763126835 -> viable/strict/1763126835 2025-12-04T08:57:34.5947606Z * [new tag] viable/strict/1763149779 -> viable/strict/1763149779 2025-12-04T08:57:34.5948208Z * [new tag] viable/strict/1763164178 -> viable/strict/1763164178 2025-12-04T08:57:34.5948632Z * [new tag] viable/strict/1763167104 -> viable/strict/1763167104 2025-12-04T08:57:34.5949266Z * [new tag] viable/strict/1763169132 -> viable/strict/1763169132 2025-12-04T08:57:34.5949673Z * [new tag] viable/strict/1763171708 -> viable/strict/1763171708 2025-12-04T08:57:34.5950299Z * [new tag] viable/strict/1763174759 -> viable/strict/1763174759 2025-12-04T08:57:34.5950744Z * [new tag] viable/strict/1763180744 -> viable/strict/1763180744 2025-12-04T08:57:34.5951370Z * [new tag] viable/strict/1763182227 -> viable/strict/1763182227 2025-12-04T08:57:34.5951799Z * [new tag] viable/strict/1763184309 -> viable/strict/1763184309 2025-12-04T08:57:34.5952952Z * [new tag] viable/strict/1763187991 -> viable/strict/1763187991 2025-12-04T08:57:34.5953371Z * [new tag] viable/strict/1763191445 -> viable/strict/1763191445 2025-12-04T08:57:34.5954162Z * [new tag] viable/strict/1763195152 -> viable/strict/1763195152 2025-12-04T08:57:34.5954517Z * [new tag] viable/strict/1763205769 -> viable/strict/1763205769 2025-12-04T08:57:34.5955169Z * [new tag] viable/strict/1763246990 -> viable/strict/1763246990 2025-12-04T08:57:34.5955570Z * [new tag] viable/strict/1763261578 -> viable/strict/1763261578 2025-12-04T08:57:34.5956123Z * [new tag] viable/strict/1763286573 -> viable/strict/1763286573 2025-12-04T08:57:34.5956452Z * [new tag] viable/strict/1763292167 -> viable/strict/1763292167 2025-12-04T08:57:34.5957101Z * [new tag] viable/strict/1763333386 -> viable/strict/1763333386 2025-12-04T08:57:34.5957481Z * [new tag] viable/strict/1763340082 -> viable/strict/1763340082 2025-12-04T08:57:34.5958649Z * [new tag] viable/strict/1763364324 -> viable/strict/1763364324 2025-12-04T08:57:34.5959068Z * [new tag] viable/strict/1763371569 -> viable/strict/1763371569 2025-12-04T08:57:34.5959693Z * [new tag] viable/strict/1763373067 -> viable/strict/1763373067 2025-12-04T08:57:34.5960062Z * [new tag] viable/strict/1763375157 -> viable/strict/1763375157 2025-12-04T08:57:34.5960715Z * [new tag] viable/strict/1763382462 -> viable/strict/1763382462 2025-12-04T08:57:34.5961303Z * [new tag] viable/strict/1763394661 -> viable/strict/1763394661 2025-12-04T08:57:34.5961978Z * [new tag] viable/strict/1763396797 -> viable/strict/1763396797 2025-12-04T08:57:34.5962383Z * [new tag] viable/strict/1763398542 -> viable/strict/1763398542 2025-12-04T08:57:34.5963033Z * [new tag] viable/strict/1763401807 -> viable/strict/1763401807 2025-12-04T08:57:34.5963367Z * [new tag] viable/strict/1763414698 -> viable/strict/1763414698 2025-12-04T08:57:34.5964073Z * [new tag] viable/strict/1763419807 -> viable/strict/1763419807 2025-12-04T08:57:34.5964456Z * [new tag] viable/strict/1763426369 -> viable/strict/1763426369 2025-12-04T08:57:34.5965137Z * [new tag] viable/strict/1763428331 -> viable/strict/1763428331 2025-12-04T08:57:34.5965677Z * [new tag] viable/strict/1763430922 -> viable/strict/1763430922 2025-12-04T08:57:34.5966016Z * [new tag] viable/strict/1763434184 -> viable/strict/1763434184 2025-12-04T08:57:34.5966580Z * [new tag] viable/strict/1763439973 -> viable/strict/1763439973 2025-12-04T08:57:34.5967054Z * [new tag] viable/strict/1763444995 -> viable/strict/1763444995 2025-12-04T08:57:34.5968034Z * [new tag] viable/strict/1763447206 -> viable/strict/1763447206 2025-12-04T08:57:34.5968422Z * [new tag] viable/strict/1763448826 -> viable/strict/1763448826 2025-12-04T08:57:34.5969048Z * [new tag] viable/strict/1763450717 -> viable/strict/1763450717 2025-12-04T08:57:34.5969454Z * [new tag] viable/strict/1763452183 -> viable/strict/1763452183 2025-12-04T08:57:34.5970232Z * [new tag] viable/strict/1763457945 -> viable/strict/1763457945 2025-12-04T08:57:34.5970600Z * [new tag] viable/strict/1763459439 -> viable/strict/1763459439 2025-12-04T08:57:34.5971040Z * [new tag] viable/strict/1763461556 -> viable/strict/1763461556 2025-12-04T08:57:34.5971608Z * [new tag] viable/strict/1763463103 -> viable/strict/1763463103 2025-12-04T08:57:34.5972191Z * [new tag] viable/strict/1763465100 -> viable/strict/1763465100 2025-12-04T08:57:34.5972543Z * [new tag] viable/strict/1763468866 -> viable/strict/1763468866 2025-12-04T08:57:34.5973134Z * [new tag] viable/strict/1763493823 -> viable/strict/1763493823 2025-12-04T08:57:34.5973499Z * [new tag] viable/strict/1763496249 -> viable/strict/1763496249 2025-12-04T08:57:34.5974116Z * [new tag] viable/strict/1763502620 -> viable/strict/1763502620 2025-12-04T08:57:34.5974585Z * [new tag] viable/strict/1763504715 -> viable/strict/1763504715 2025-12-04T08:57:34.5975253Z * [new tag] viable/strict/1763506208 -> viable/strict/1763506208 2025-12-04T08:57:34.5975647Z * [new tag] viable/strict/1763520590 -> viable/strict/1763520590 2025-12-04T08:57:34.5976285Z * [new tag] viable/strict/1763523357 -> viable/strict/1763523357 2025-12-04T08:57:34.5976736Z * [new tag] viable/strict/1763529922 -> viable/strict/1763529922 2025-12-04T08:57:34.5977492Z * [new tag] viable/strict/1763531408 -> viable/strict/1763531408 2025-12-04T08:57:34.5977820Z * [new tag] viable/strict/1763533622 -> viable/strict/1763533622 2025-12-04T08:57:34.5978497Z * [new tag] viable/strict/1763538576 -> viable/strict/1763538576 2025-12-04T08:57:34.5978937Z * [new tag] viable/strict/1763545823 -> viable/strict/1763545823 2025-12-04T08:57:34.5979362Z * [new tag] viable/strict/1763547951 -> viable/strict/1763547951 2025-12-04T08:57:34.5980297Z * [new tag] viable/strict/1763551477 -> viable/strict/1763551477 2025-12-04T08:57:34.5980726Z * [new tag] viable/strict/1763552982 -> viable/strict/1763552982 2025-12-04T08:57:34.5981404Z * [new tag] viable/strict/1763594698 -> viable/strict/1763594698 2025-12-04T08:57:34.5981921Z * [new tag] viable/strict/1763596178 -> viable/strict/1763596178 2025-12-04T08:57:34.5982807Z * [new tag] viable/strict/1763599155 -> viable/strict/1763599155 2025-12-04T08:57:34.5983177Z * [new tag] viable/strict/1763603717 -> viable/strict/1763603717 2025-12-04T08:57:34.5983778Z * [new tag] viable/strict/1763606923 -> viable/strict/1763606923 2025-12-04T08:57:34.5984246Z * [new tag] viable/strict/1763609715 -> viable/strict/1763609715 2025-12-04T08:57:34.5984922Z * [new tag] viable/strict/1763612757 -> viable/strict/1763612757 2025-12-04T08:57:34.5985306Z * [new tag] viable/strict/1763616325 -> viable/strict/1763616325 2025-12-04T08:57:34.5985966Z * [new tag] viable/strict/1763623509 -> viable/strict/1763623509 2025-12-04T08:57:34.5986644Z * [new tag] viable/strict/1763624984 -> viable/strict/1763624984 2025-12-04T08:57:34.5987098Z * [new tag] viable/strict/1763628796 -> viable/strict/1763628796 2025-12-04T08:57:34.5987691Z * [new tag] viable/strict/1763634343 -> viable/strict/1763634343 2025-12-04T08:57:34.5988161Z * [new tag] viable/strict/1763635867 -> viable/strict/1763635867 2025-12-04T08:57:34.5988896Z * [new tag] viable/strict/1763639382 -> viable/strict/1763639382 2025-12-04T08:57:34.5989348Z * [new tag] viable/strict/1763646626 -> viable/strict/1763646626 2025-12-04T08:57:34.5990082Z * [new tag] viable/strict/1763655997 -> viable/strict/1763655997 2025-12-04T08:57:34.5990497Z * [new tag] viable/strict/1763659444 -> viable/strict/1763659444 2025-12-04T08:57:34.5991145Z * [new tag] viable/strict/1763660992 -> viable/strict/1763660992 2025-12-04T08:57:34.5991519Z * [new tag] viable/strict/1763663201 -> viable/strict/1763663201 2025-12-04T08:57:34.5992203Z * [new tag] viable/strict/1763670362 -> viable/strict/1763670362 2025-12-04T08:57:34.5992544Z * [new tag] viable/strict/1763675378 -> viable/strict/1763675378 2025-12-04T08:57:34.5993146Z * [new tag] viable/strict/1763693343 -> viable/strict/1763693343 2025-12-04T08:57:34.5993532Z * [new tag] viable/strict/1763696088 -> viable/strict/1763696088 2025-12-04T08:57:34.5994342Z * [new tag] viable/strict/1763697343 -> viable/strict/1763697343 2025-12-04T08:57:34.5994707Z * [new tag] viable/strict/1763699165 -> viable/strict/1763699165 2025-12-04T08:57:34.5995372Z * [new tag] viable/strict/1763700660 -> viable/strict/1763700660 2025-12-04T08:57:34.5995785Z * [new tag] viable/strict/1763704209 -> viable/strict/1763704209 2025-12-04T08:57:34.5996490Z * [new tag] viable/strict/1763706411 -> viable/strict/1763706411 2025-12-04T08:57:34.5996834Z * [new tag] viable/strict/1763708082 -> viable/strict/1763708082 2025-12-04T08:57:34.5997450Z * [new tag] viable/strict/1763711381 -> viable/strict/1763711381 2025-12-04T08:57:34.5997776Z * [new tag] viable/strict/1763713593 -> viable/strict/1763713593 2025-12-04T08:57:34.5998451Z * [new tag] viable/strict/1763715201 -> viable/strict/1763715201 2025-12-04T08:57:34.5998847Z * [new tag] viable/strict/1763733017 -> viable/strict/1763733017 2025-12-04T08:57:34.5999469Z * [new tag] viable/strict/1763735108 -> viable/strict/1763735108 2025-12-04T08:57:34.5999932Z * [new tag] viable/strict/1763749579 -> viable/strict/1763749579 2025-12-04T08:57:34.6000728Z * [new tag] viable/strict/1763751113 -> viable/strict/1763751113 2025-12-04T08:57:34.6001108Z * [new tag] viable/strict/1763753035 -> viable/strict/1763753035 2025-12-04T08:57:34.6001633Z * [new tag] viable/strict/1763754578 -> viable/strict/1763754578 2025-12-04T08:57:34.6004447Z * [new tag] viable/strict/1763756748 -> viable/strict/1763756748 2025-12-04T08:57:34.6005511Z * [new tag] viable/strict/1763758205 -> viable/strict/1763758205 2025-12-04T08:57:34.6006042Z * [new tag] viable/strict/1763764050 -> viable/strict/1763764050 2025-12-04T08:57:34.6006774Z * [new tag] viable/strict/1763771887 -> viable/strict/1763771887 2025-12-04T08:57:34.6007605Z * [new tag] viable/strict/1763773920 -> viable/strict/1763773920 2025-12-04T08:57:34.6008198Z * [new tag] viable/strict/1763776501 -> viable/strict/1763776501 2025-12-04T08:57:34.6008726Z * [new tag] viable/strict/1763779437 -> viable/strict/1763779437 2025-12-04T08:57:34.6009517Z * [new tag] viable/strict/1763781038 -> viable/strict/1763781038 2025-12-04T08:57:34.6009926Z * [new tag] viable/strict/1763782245 -> viable/strict/1763782245 2025-12-04T08:57:34.6010668Z * [new tag] viable/strict/1763785568 -> viable/strict/1763785568 2025-12-04T08:57:34.6011014Z * [new tag] viable/strict/1763787006 -> viable/strict/1763787006 2025-12-04T08:57:34.6011763Z * [new tag] viable/strict/1763789103 -> viable/strict/1763789103 2025-12-04T08:57:34.6012166Z * [new tag] viable/strict/1763790578 -> viable/strict/1763790578 2025-12-04T08:57:34.6012770Z * [new tag] viable/strict/1763796275 -> viable/strict/1763796275 2025-12-04T08:57:34.6013552Z * [new tag] viable/strict/1763801465 -> viable/strict/1763801465 2025-12-04T08:57:34.6013990Z * [new tag] viable/strict/1763803522 -> viable/strict/1763803522 2025-12-04T08:57:34.6014587Z * [new tag] viable/strict/1763808581 -> viable/strict/1763808581 2025-12-04T08:57:34.6014980Z * [new tag] viable/strict/1763840977 -> viable/strict/1763840977 2025-12-04T08:57:34.6015543Z * [new tag] viable/strict/1763846659 -> viable/strict/1763846659 2025-12-04T08:57:34.6016145Z * [new tag] viable/strict/1763872065 -> viable/strict/1763872065 2025-12-04T08:57:34.6016544Z * [new tag] viable/strict/1763873648 -> viable/strict/1763873648 2025-12-04T08:57:34.6017175Z * [new tag] viable/strict/1763875506 -> viable/strict/1763875506 2025-12-04T08:57:34.6017464Z * [new tag] viable/strict/1763889904 -> viable/strict/1763889904 2025-12-04T08:57:34.6018160Z * [new tag] viable/strict/1763930999 -> viable/strict/1763930999 2025-12-04T08:57:34.6018548Z * [new tag] viable/strict/1763944964 -> viable/strict/1763944964 2025-12-04T08:57:34.6019085Z * [new tag] viable/strict/1763958474 -> viable/strict/1763958474 2025-12-04T08:57:34.6019515Z * [new tag] viable/strict/1763967263 -> viable/strict/1763967263 2025-12-04T08:57:34.6020233Z * [new tag] viable/strict/1763972803 -> viable/strict/1763972803 2025-12-04T08:57:34.6020950Z * [new tag] viable/strict/1763976376 -> viable/strict/1763976376 2025-12-04T08:57:34.6021417Z * [new tag] viable/strict/1763989404 -> viable/strict/1763989404 2025-12-04T08:57:34.6022085Z * [new tag] viable/strict/1763990887 -> viable/strict/1763990887 2025-12-04T08:57:34.6022468Z * [new tag] viable/strict/1764019919 -> viable/strict/1764019919 2025-12-04T08:57:34.6023168Z * [new tag] viable/strict/1764023134 -> viable/strict/1764023134 2025-12-04T08:57:34.6023487Z * [new tag] viable/strict/1764024593 -> viable/strict/1764024593 2025-12-04T08:57:34.6024100Z * [new tag] viable/strict/1764026706 -> viable/strict/1764026706 2025-12-04T08:57:34.6024812Z * [new tag] viable/strict/1764031139 -> viable/strict/1764031139 2025-12-04T08:57:34.6025371Z * [new tag] viable/strict/1764033131 -> viable/strict/1764033131 2025-12-04T08:57:34.6025768Z * [new tag] viable/strict/1764035725 -> viable/strict/1764035725 2025-12-04T08:57:34.6026217Z * [new tag] viable/strict/1764624265 -> viable/strict/1764624265 2025-12-04T08:57:34.6026650Z * [new tag] viable/strict/1764631514 -> viable/strict/1764631514 2025-12-04T08:57:34.6027074Z * [new tag] viable/strict/1764632987 -> viable/strict/1764632987 2025-12-04T08:57:34.6027491Z * [new tag] viable/strict/1764636063 -> viable/strict/1764636063 2025-12-04T08:57:34.6027890Z * [new tag] viable/strict/1764643975 -> viable/strict/1764643975 2025-12-04T08:57:34.6028298Z * [new tag] viable/strict/1764646859 -> viable/strict/1764646859 2025-12-04T08:57:34.6028725Z * [new tag] viable/strict/1764653120 -> viable/strict/1764653120 2025-12-04T08:57:34.6029231Z * [new tag] viable/strict/1764654632 -> viable/strict/1764654632 2025-12-04T08:57:34.6029591Z * [new tag] viable/strict/1764656821 -> viable/strict/1764656821 2025-12-04T08:57:34.6029978Z * [new tag] viable/strict/1764658557 -> viable/strict/1764658557 2025-12-04T08:57:34.6030645Z * [new tag] viable/strict/1764660333 -> viable/strict/1764660333 2025-12-04T08:57:34.6030945Z * [new tag] viable/strict/1764661812 -> viable/strict/1764661812 2025-12-04T08:57:34.6031321Z * [new tag] viable/strict/1764664023 -> viable/strict/1764664023 2025-12-04T08:57:34.6031727Z * [new tag] viable/strict/1764669150 -> viable/strict/1764669150 2025-12-04T08:57:34.6032149Z * [new tag] viable/strict/1764680709 -> viable/strict/1764680709 2025-12-04T08:57:34.6032563Z * [new tag] viable/strict/1764687619 -> viable/strict/1764687619 2025-12-04T08:57:34.6033007Z * [new tag] viable/strict/1764696355 -> viable/strict/1764696355 2025-12-04T08:57:34.6033396Z * [new tag] viable/strict/1764701767 -> viable/strict/1764701767 2025-12-04T08:57:34.6033824Z * [new tag] viable/strict/1764710768 -> viable/strict/1764710768 2025-12-04T08:57:34.6034221Z * [new tag] viable/strict/1764716202 -> viable/strict/1764716202 2025-12-04T08:57:34.6034650Z * [new tag] viable/strict/1764793566 -> viable/strict/1764793566 2025-12-04T08:57:34.6035039Z * [new tag] viable/strict/1764797093 -> viable/strict/1764797093 2025-12-04T08:57:34.6035490Z * [new tag] viable/strict/1764800729 -> viable/strict/1764800729 2025-12-04T08:57:34.6036215Z * [new tag] whc_flight_1 -> whc_flight_1 2025-12-04T08:57:34.6036684Z * [new tag] whc_flight_2 -> whc_flight_2 2025-12-04T08:57:34.6037488Z * [new tag] whc_flight_4 -> whc_flight_4 2025-12-04T08:57:34.6528121Z [command]/usr/bin/git rev-parse --verify --quiet ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32^{object} 2025-12-04T08:57:34.6554554Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:57:34.6555144Z ##[endgroup] 2025-12-04T08:57:34.6555335Z ##[group]Determining the checkout info 2025-12-04T08:57:34.6555507Z ##[endgroup] 2025-12-04T08:57:34.6558761Z [command]/usr/bin/git sparse-checkout disable 2025-12-04T08:57:34.6583237Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-12-04T08:57:34.6615693Z ##[group]Checking out the ref 2025-12-04T08:57:34.6615926Z [command]/usr/bin/git checkout --progress --force ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:57:35.6845411Z Updating files: 99% (20070/20121) 2025-12-04T08:57:35.6847518Z Updating files: 100% (20121/20121) 2025-12-04T08:57:35.6848109Z Updating files: 100% (20121/20121), done. 2025-12-04T08:57:35.7063875Z Note: switching to 'ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32'. 2025-12-04T08:57:35.7067713Z 2025-12-04T08:57:35.7069935Z You are in 'detached HEAD' state. You can look around, make experimental 2025-12-04T08:57:35.7070288Z changes and commit them, and you can discard any commits you make in this 2025-12-04T08:57:35.7070607Z state without impacting any branches by switching back to a branch. 2025-12-04T08:57:35.7070797Z 2025-12-04T08:57:35.7071026Z If you want to create a new branch to retain commits you create, you may 2025-12-04T08:57:35.7071339Z do so (now or later) by using -c with the switch command. Example: 2025-12-04T08:57:35.7071520Z 2025-12-04T08:57:35.7071612Z git switch -c 2025-12-04T08:57:35.7071740Z 2025-12-04T08:57:35.7071837Z Or undo this operation with: 2025-12-04T08:57:35.7071994Z 2025-12-04T08:57:35.7072075Z git switch - 2025-12-04T08:57:35.7072185Z 2025-12-04T08:57:35.7072402Z Turn off this advice by setting config variable advice.detachedHead to false 2025-12-04T08:57:35.7072673Z 2025-12-04T08:57:35.7073066Z HEAD is now at ffd9b0fb435 Resolve collective autotuning test failure on arm (#168919) 2025-12-04T08:57:35.7111274Z ##[endgroup] 2025-12-04T08:57:35.7112436Z ##[group]Setting up auth for fetching submodules 2025-12-04T08:57:35.7119234Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-12-04T08:57:35.7158758Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-12-04T08:57:35.7185266Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-12-04T08:57:35.7207721Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-12-04T08:57:35.7227420Z ##[endgroup] 2025-12-04T08:57:35.7227791Z ##[group]Fetching submodules 2025-12-04T08:57:35.7231710Z [command]/usr/bin/git submodule sync --recursive 2025-12-04T08:57:35.7530153Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-12-04T08:57:35.7812212Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-12-04T08:57:35.7813071Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-12-04T08:57:35.7817022Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-12-04T08:57:35.7817835Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-12-04T08:57:35.7818323Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-12-04T08:57:35.7829827Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-12-04T08:57:35.7830607Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-12-04T08:57:35.7831103Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-12-04T08:57:35.7831596Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-12-04T08:57:35.7832160Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-12-04T08:57:35.7832739Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-12-04T08:57:35.7833319Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-12-04T08:57:35.7833862Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-12-04T08:57:35.7834615Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-12-04T08:57:35.7835113Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-12-04T08:57:35.7835778Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-12-04T08:57:35.7836463Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-12-04T08:57:35.7838020Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-12-04T08:57:35.7840828Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-12-04T08:57:35.7841484Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-12-04T08:57:35.7845951Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-12-04T08:57:35.7846534Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-12-04T08:57:35.7847084Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-12-04T08:57:35.7850981Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-12-04T08:57:35.7851543Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-12-04T08:57:35.7853108Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-12-04T08:57:35.7855149Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-12-04T08:57:35.7857179Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-12-04T08:57:35.7859610Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-12-04T08:57:35.7861989Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-12-04T08:57:35.7864249Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-12-04T08:57:35.7866814Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-12-04T08:57:35.7869383Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-12-04T08:57:35.7872520Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-12-04T08:57:35.7875079Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-12-04T08:57:35.7877409Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-12-04T08:57:35.7879888Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-12-04T08:57:35.7904078Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2025-12-04T08:57:36.0003957Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2025-12-04T08:57:36.0004422Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2025-12-04T08:57:36.0004826Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2025-12-04T08:57:36.0025686Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-12-04T08:57:45.0789890Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'... 2025-12-04T08:57:45.0790942Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'... 2025-12-04T08:57:45.0791829Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-12-04T08:57:45.0792802Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-12-04T08:57:45.0793687Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'... 2025-12-04T08:57:45.0794509Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-12-04T08:57:45.0795395Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-12-04T08:57:45.0796279Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-12-04T08:57:45.0797291Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'... 2025-12-04T08:57:45.0798076Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-12-04T08:57:45.0798883Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2025-12-04T08:57:45.0799624Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'... 2025-12-04T08:57:45.0800393Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'... 2025-12-04T08:57:45.0801118Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'... 2025-12-04T08:57:45.0801841Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'... 2025-12-04T08:57:45.0802788Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'... 2025-12-04T08:57:45.0803542Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'... 2025-12-04T08:57:45.0804323Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'... 2025-12-04T08:57:45.0805051Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'... 2025-12-04T08:57:45.0805850Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'... 2025-12-04T08:57:45.0806597Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'... 2025-12-04T08:57:45.0807392Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-12-04T08:57:45.1037223Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'... 2025-12-04T08:58:01.0360447Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-12-04T08:58:01.0361517Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'... 2025-12-04T08:58:01.0362374Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-12-04T08:58:01.0363287Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'... 2025-12-04T08:58:01.0364083Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'... 2025-12-04T08:58:01.0364793Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'... 2025-12-04T08:58:01.1362014Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'... 2025-12-04T08:58:09.7264951Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-12-04T08:58:11.6420786Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-12-04T08:58:11.6556158Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-12-04T08:58:11.6650847Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-12-04T08:58:11.6731868Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-12-04T08:58:11.6911861Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-12-04T08:58:11.7584504Z Submodule path 'third_party/NVTX': checked out '3ebbc93ded7285963bff932c678fa367eb393ba6' 2025-12-04T08:58:11.8023003Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-12-04T08:58:12.3216578Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-12-04T08:58:12.4792574Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-12-04T08:58:12.4810241Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T08:58:12.4832256Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-12-04T08:58:16.9039356Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-12-04T08:58:16.9233458Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-12-04T08:58:17.1854754Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-12-04T08:58:17.2241217Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-12-04T08:58:17.3043521Z Submodule path 'third_party/cpuinfo': checked out 'f858c30bcb16f8effd5ff46996f0514539e17abc' 2025-12-04T08:58:17.3448876Z Submodule path 'third_party/cudnn_frontend': checked out '0b1577c8c83401237d601d0d0db5210506705396' 2025-12-04T08:58:17.8511791Z Submodule path 'third_party/cutlass': checked out 'f88806b1e31dfa579842638740216dd41fc6c588' 2025-12-04T08:58:17.9681571Z Submodule path 'third_party/fbgemm': checked out 'c0b988d39a9e47c794d699f29930ed4d7c7e13a4' 2025-12-04T08:58:17.9699653Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-12-04T08:58:17.9700485Z Submodule 'external/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-12-04T08:58:17.9701133Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-12-04T08:58:17.9702239Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-12-04T08:58:17.9705291Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-12-04T08:58:17.9706299Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-12-04T08:58:17.9707133Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-12-04T08:58:17.9730022Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-12-04T08:58:19.3504475Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-12-04T08:58:19.3505022Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-12-04T08:58:19.3505693Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-12-04T08:58:19.4505437Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-12-04T08:58:22.6325623Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-12-04T08:58:22.7326897Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-12-04T08:58:25.6633364Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-12-04T08:58:25.9244465Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-12-04T08:58:26.0088041Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-12-04T08:58:26.5050451Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '98125ce499b0fdf7ffbe0e3052f5b8709f4840f8' 2025-12-04T08:58:26.5431385Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T08:58:26.5532661Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-12-04T08:58:26.6366526Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-12-04T08:58:26.6917060Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-12-04T08:58:26.6931159Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T08:58:26.6931831Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-12-04T08:58:26.6953916Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-12-04T08:58:31.0029935Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-12-04T08:58:31.1781101Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-12-04T08:58:31.6185625Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-12-04T08:58:31.7201630Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-12-04T08:58:31.7456535Z Submodule path 'third_party/fmt': checked out '407c905e45ad75fc29bf0f9bb7c5c2fd3475976f' 2025-12-04T08:58:31.7779709Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-12-04T08:58:31.7974285Z Submodule path 'third_party/gloo': checked out '54cbae0d3a67fa890b4c3d9ee162b7860315e341' 2025-12-04T08:58:31.8349201Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T08:58:31.8456714Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-12-04T08:58:31.8471019Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-12-04T08:58:31.8489598Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-12-04T08:58:47.3871293Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-12-04T08:58:47.4030954Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-12-04T08:58:47.4804304Z Submodule path 'third_party/kineto': checked out '31f85df8fbd89c188f14ef10f1ec65379786b943' 2025-12-04T08:58:47.4824513Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T08:58:47.4825206Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T08:58:47.4825935Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T08:58:47.4848879Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-12-04T08:58:48.3444369Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-12-04T08:58:48.9616316Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-12-04T08:58:49.0356173Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out 'd2ffe0a4e3acace628db49974246b66fc3e85fb1' 2025-12-04T08:58:49.0368335Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T08:58:49.0369077Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T08:58:49.0371724Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T08:58:49.0372488Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T08:58:49.0373289Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T08:58:49.0373982Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T08:58:49.0376475Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T08:58:49.0377119Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T08:58:49.0377973Z 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' 2025-12-04T08:58:49.0401558Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-12-04T08:58:51.4355350Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-12-04T08:58:51.4356624Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-12-04T08:58:51.4357685Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-12-04T08:58:51.4358843Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'... 2025-12-04T08:58:51.4359941Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-12-04T08:58:51.4360998Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-12-04T08:58:51.4362066Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-12-04T08:58:51.5356952Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-12-04T08:58:56.6866893Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-12-04T08:58:56.7014794Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-12-04T08:58:56.7301590Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-12-04T08:58:56.7415940Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-12-04T08:58:56.7426308Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T08:58:56.7450942Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-12-04T08:58:57.1564691Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-12-04T08:58:57.1714486Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-12-04T08:58:57.2083825Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T08:58:57.2897702Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-12-04T08:58:57.3038000Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-12-04T08:58:57.3170125Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp': checked out 'b1234816facfdda29845c46696a02998a4af115a' 2025-12-04T08:58:57.3185316Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:58:57.3186161Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:58:57.3208757Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'... 2025-12-04T08:58:59.5198708Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'... 2025-12-04T08:58:59.7503338Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'd7ba35bbb649209c66e582d5a0244ba988a15159' 2025-12-04T08:58:59.7884125Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2025-12-04T08:58:59.8157848Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-12-04T08:58:59.8526810Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T08:58:59.8957558Z Submodule path 'third_party/kleidiai': checked out 'd7770c89632329a9914ef1a90289917597639cbe' 2025-12-04T08:58:59.9271479Z 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'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T08:59:16.9980366Z [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" 2025-12-04T08:59:17.0231359Z Entering 'android/libs/fbjni' 2025-12-04T08:59:17.0268638Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config remote.origin.url 2025-12-04T08:59:17.0284013Z Entering 'third_party/FP16' 2025-12-04T08:59:17.0323318Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config remote.origin.url 2025-12-04T08:59:17.0335944Z Entering 'third_party/FXdiv' 2025-12-04T08:59:17.0374027Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config remote.origin.url 2025-12-04T08:59:17.0387235Z Entering 'third_party/NNPACK' 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2025-12-04T08:59:17.7631191Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T08:59:17.7666651Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T08:59:17.7696895Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T08:59:17.7727404Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T08:59:17.7758727Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T08:59:17.7788130Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:59:17.7829822Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:59:17.7869155Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T08:59:17.7916691Z Entering 'third_party/pocketfft' 2025-12-04T08:59:17.7950270Z Entering 'third_party/protobuf' 2025-12-04T08:59:17.7985719Z Entering 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--recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-12-04T08:59:17.8688846Z Entering 'android/libs/fbjni' 2025-12-04T08:59:17.8722793Z Entering 'third_party/FP16' 2025-12-04T08:59:17.8760558Z Entering 'third_party/FXdiv' 2025-12-04T08:59:17.8792580Z Entering 'third_party/NNPACK' 2025-12-04T08:59:17.8828709Z Entering 'third_party/NVTX' 2025-12-04T08:59:17.8866867Z Entering 'third_party/VulkanMemoryAllocator' 2025-12-04T08:59:17.8895276Z Entering 'third_party/XNNPACK' 2025-12-04T08:59:17.8944160Z Entering 'third_party/aiter' 2025-12-04T08:59:17.8972542Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T08:59:17.9012441Z Entering 'third_party/benchmark' 2025-12-04T08:59:17.9047223Z Entering 'third_party/composable_kernel' 2025-12-04T08:59:17.9084320Z Entering 'third_party/cpp-httplib' 2025-12-04T08:59:17.9119657Z Entering 'third_party/cpuinfo' 2025-12-04T08:59:17.9152263Z Entering 'third_party/cudnn_frontend' 2025-12-04T08:59:17.9185535Z Entering 'third_party/cutlass' 2025-12-04T08:59:17.9226117Z Entering 'third_party/fbgemm' 2025-12-04T08:59:17.9259247Z Entering 'third_party/fbgemm/external/asmjit' 2025-12-04T08:59:17.9292015Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-12-04T08:59:17.9335661Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-12-04T08:59:17.9366899Z Entering 'third_party/fbgemm/external/cutlass' 2025-12-04T08:59:17.9411943Z Entering 'third_party/fbgemm/external/googletest' 2025-12-04T08:59:17.9444508Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-12-04T08:59:17.9474351Z Entering 'third_party/fbgemm/external/json' 2025-12-04T08:59:17.9507251Z Entering 'third_party/flash-attention' 2025-12-04T08:59:17.9539046Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T08:59:17.9575307Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-12-04T08:59:17.9618414Z Entering 'third_party/flatbuffers' 2025-12-04T08:59:17.9656738Z Entering 'third_party/fmt' 2025-12-04T08:59:17.9688917Z Entering 'third_party/gemmlowp/gemmlowp' 2025-12-04T08:59:17.9729556Z Entering 'third_party/gloo' 2025-12-04T08:59:17.9764038Z Entering 'third_party/googletest' 2025-12-04T08:59:17.9796041Z Entering 'third_party/ideep' 2025-12-04T08:59:17.9828872Z Entering 'third_party/ideep/mkl-dnn' 2025-12-04T08:59:17.9873005Z Entering 'third_party/ittapi' 2025-12-04T08:59:17.9911108Z Entering 'third_party/kineto' 2025-12-04T08:59:17.9944185Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T08:59:17.9975675Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T08:59:18.0010485Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T08:59:18.0042804Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T08:59:18.0074165Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T08:59:18.0107470Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T08:59:18.0145965Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T08:59:18.0176168Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T08:59:18.0209692Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T08:59:18.0245887Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T08:59:18.0276002Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T08:59:18.0309164Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:59:18.0343652Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:59:18.0376626Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T08:59:18.0409645Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T08:59:18.0445998Z Entering 'third_party/kleidiai' 2025-12-04T08:59:18.0482360Z Entering 'third_party/mimalloc' 2025-12-04T08:59:18.0515771Z Entering 'third_party/nlohmann' 2025-12-04T08:59:18.0551291Z Entering 'third_party/onnx' 2025-12-04T08:59:18.0596115Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T08:59:18.0635776Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T08:59:18.0671482Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T08:59:18.0700462Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T08:59:18.0732902Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T08:59:18.0762858Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T08:59:18.0798413Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T08:59:18.0832158Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T08:59:18.0866118Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T08:59:18.0895097Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:59:18.0931648Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:59:18.0969920Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T08:59:18.1017716Z Entering 'third_party/pocketfft' 2025-12-04T08:59:18.1051581Z Entering 'third_party/protobuf' 2025-12-04T08:59:18.1086517Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T08:59:18.1117640Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T08:59:18.1151349Z Entering 'third_party/psimd' 2025-12-04T08:59:18.1181029Z Entering 'third_party/pthreadpool' 2025-12-04T08:59:18.1214074Z Entering 'third_party/pybind11' 2025-12-04T08:59:18.1248974Z Entering 'third_party/python-peachpy' 2025-12-04T08:59:18.1281607Z Entering 'third_party/sleef' 2025-12-04T08:59:18.1318172Z Entering 'third_party/tensorpipe' 2025-12-04T08:59:18.1350594Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T08:59:18.1385934Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T08:59:18.1420615Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T08:59:18.1456000Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T08:59:18.1488150Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T08:59:18.1534427Z ##[endgroup] 2025-12-04T08:59:18.1566511Z [command]/usr/bin/git log -1 --format=%H 2025-12-04T08:59:18.1584105Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:59:18.1668547Z ##[group]Run cd "${GITHUB_WORKSPACE}" 2025-12-04T08:59:18.1668787Z cd "${GITHUB_WORKSPACE}" 2025-12-04T08:59:18.1668979Z # Clean stale submodule dirs 2025-12-04T08:59:18.1669181Z if [ -z "${NO_SUDO}" ]; then 2025-12-04T08:59:18.1669413Z  sudo git submodule foreach --recursive git clean -ffdx 2025-12-04T08:59:18.1669633Z else 2025-12-04T08:59:18.1669823Z  git submodule foreach --recursive git clean -ffdx 2025-12-04T08:59:18.1670035Z fi 2025-12-04T08:59:18.1678828Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:59:18.1679061Z env: 2025-12-04T08:59:18.1679336Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:59:18.1679511Z NO_SUDO: true 2025-12-04T08:59:18.1679651Z ##[endgroup] 2025-12-04T08:59:18.1933160Z Entering 'android/libs/fbjni' 2025-12-04T08:59:18.1962894Z Entering 'third_party/FP16' 2025-12-04T08:59:18.1984628Z Entering 'third_party/FXdiv' 2025-12-04T08:59:18.2010357Z Entering 'third_party/NNPACK' 2025-12-04T08:59:18.2037649Z Entering 'third_party/NVTX' 2025-12-04T08:59:18.2067300Z Entering 'third_party/VulkanMemoryAllocator' 2025-12-04T08:59:18.2092170Z Entering 'third_party/XNNPACK' 2025-12-04T08:59:18.2185529Z Entering 'third_party/aiter' 2025-12-04T08:59:18.2221927Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T08:59:18.2301186Z Entering 'third_party/benchmark' 2025-12-04T08:59:18.2331417Z Entering 'third_party/composable_kernel' 2025-12-04T08:59:18.2415606Z Entering 'third_party/cpp-httplib' 2025-12-04T08:59:18.2442267Z Entering 'third_party/cpuinfo' 2025-12-04T08:59:18.2468379Z Entering 'third_party/cudnn_frontend' 2025-12-04T08:59:18.2495219Z Entering 'third_party/cutlass' 2025-12-04T08:59:18.2571241Z Entering 'third_party/fbgemm' 2025-12-04T08:59:18.2614745Z Entering 'third_party/fbgemm/external/asmjit' 2025-12-04T08:59:18.2648266Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-12-04T08:59:18.2731403Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-12-04T08:59:18.2761016Z Entering 'third_party/fbgemm/external/cutlass' 2025-12-04T08:59:18.2842470Z Entering 'third_party/fbgemm/external/googletest' 2025-12-04T08:59:18.2875557Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-12-04T08:59:18.2896329Z Entering 'third_party/fbgemm/external/json' 2025-12-04T08:59:18.2931039Z Entering 'third_party/flash-attention' 2025-12-04T08:59:18.2964019Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T08:59:18.3036095Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-12-04T08:59:18.3100666Z Entering 'third_party/flatbuffers' 2025-12-04T08:59:18.3152978Z Entering 'third_party/fmt' 2025-12-04T08:59:18.3180174Z Entering 'third_party/gemmlowp/gemmlowp' 2025-12-04T08:59:18.3205911Z Entering 'third_party/gloo' 2025-12-04T08:59:18.3233731Z Entering 'third_party/googletest' 2025-12-04T08:59:18.3260428Z Entering 'third_party/ideep' 2025-12-04T08:59:18.3283595Z Entering 'third_party/ideep/mkl-dnn' 2025-12-04T08:59:18.3349615Z Entering 'third_party/ittapi' 2025-12-04T08:59:18.3378077Z Entering 'third_party/kineto' 2025-12-04T08:59:18.3404655Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T08:59:18.3432352Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T08:59:18.3462654Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T08:59:18.3486064Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T08:59:18.3511408Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T08:59:18.3536263Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T08:59:18.3569013Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T08:59:18.3590591Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T08:59:18.3620927Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T08:59:18.3648193Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T08:59:18.3670745Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T08:59:18.3694480Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:59:18.3733495Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:59:18.3761148Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T08:59:18.3785164Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T08:59:18.3812031Z Entering 'third_party/kleidiai' 2025-12-04T08:59:18.3841968Z Entering 'third_party/mimalloc' 2025-12-04T08:59:18.3870067Z Entering 'third_party/nlohmann' 2025-12-04T08:59:18.3904151Z Entering 'third_party/onnx' 2025-12-04T08:59:18.4125151Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T08:59:18.4158749Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T08:59:18.4195713Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T08:59:18.4224907Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T08:59:18.4252615Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T08:59:18.4278312Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T08:59:18.4310061Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T08:59:18.4333916Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T08:59:18.4356589Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T08:59:18.4379554Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:59:18.4417487Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:59:18.4441844Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T08:59:18.4621532Z Entering 'third_party/pocketfft' 2025-12-04T08:59:18.4649585Z Entering 'third_party/protobuf' 2025-12-04T08:59:18.4707598Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T08:59:18.4737995Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T08:59:18.4762880Z Entering 'third_party/psimd' 2025-12-04T08:59:18.4786479Z Entering 'third_party/pthreadpool' 2025-12-04T08:59:18.4811995Z Entering 'third_party/pybind11' 2025-12-04T08:59:18.4843365Z Entering 'third_party/python-peachpy' 2025-12-04T08:59:18.4868095Z Entering 'third_party/sleef' 2025-12-04T08:59:18.4892437Z Entering 'third_party/tensorpipe' 2025-12-04T08:59:18.4919768Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T08:59:18.4946034Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T08:59:18.4968829Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T08:59:18.4993890Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T08:59:18.5016675Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T08:59:18.5136222Z Prepare all required actions 2025-12-04T08:59:18.5136809Z Getting action download info 2025-12-04T08:59:18.7069217Z ##[group]Run ./.github/actions/setup-linux 2025-12-04T08:59:18.7069426Z env: 2025-12-04T08:59:18.7069585Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:59:18.7069760Z ##[endgroup] 2025-12-04T08:59:18.7099680Z ##[group]Run set -euo pipefail 2025-12-04T08:59:18.7099950Z set -euo pipefail 2025-12-04T08:59:18.7100363Z function get_ec2_metadata() { 2025-12-04T08:59:18.7100681Z  # Pulled from instance metadata endpoint for EC2 2025-12-04T08:59:18.7101184Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-12-04T08:59:18.7101550Z  category=$1 2025-12-04T08:59:18.7101780Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-12-04T08:59:18.7102412Z  runner_name_str=i-015b10e12ba3bb968 2025-12-04T08:59:18.7102746Z  if [[ -f /.inarc ]]; then 2025-12-04T08:59:18.7103015Z  echo "ARC Runner, no info on ec2 metadata" 2025-12-04T08:59:18.7103328Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-12-04T08:59:18.7103712Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-12-04T08:59:18.7104060Z  else 2025-12-04T08:59:18.7104715Z  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}" 2025-12-04T08:59:18.7105363Z  fi 2025-12-04T08:59:18.7105760Z } 2025-12-04T08:59:18.7105985Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-12-04T08:59:18.7106265Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-12-04T08:59:18.7106550Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-12-04T08:59:18.7106800Z echo "system info $(uname -a)" 2025-12-04T08:59:18.7112705Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:59:18.7112948Z env: 2025-12-04T08:59:18.7113104Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:59:18.7113268Z ##[endgroup] 2025-12-04T08:59:18.7239366Z ami-id: ami-08982f1c5bf93d976 2025-12-04T08:59:18.7333245Z instance-id: i-015b10e12ba3bb968 2025-12-04T08:59:18.7407606Z instance-type: c7i.2xlarge 2025-12-04T08:59:18.7417893Z system info Linux ip-10-0-1-6.ec2.internal 6.1.150-174.273.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Sep 9 12:21:26 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux 2025-12-04T08:59:18.7434209Z ##[group]Run if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi 2025-12-04T08:59:18.7434534Z if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi 2025-12-04T08:59:18.7439409Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:59:18.7439640Z env: 2025-12-04T08:59:18.7439784Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:59:18.7439961Z ##[endgroup] 2025-12-04T08:59:18.7472365Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:59:18.7472910Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:59:18.7477370Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:59:18.7477599Z env: 2025-12-04T08:59:18.7477748Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:59:18.7477919Z ##[endgroup] 2025-12-04T08:59:18.7515688Z ##[group]Run if systemctl is-active --quiet docker; then 2025-12-04T08:59:18.7516137Z if systemctl is-active --quiet docker; then 2025-12-04T08:59:18.7516489Z  echo "Docker daemon is running..."; 2025-12-04T08:59:18.7516774Z else 2025-12-04T08:59:18.7517089Z  echo "Starting docker daemon..." && sudo systemctl start docker; 2025-12-04T08:59:18.7517459Z fi 2025-12-04T08:59:18.7522932Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:59:18.7523303Z env: 2025-12-04T08:59:18.7523516Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:59:18.7523725Z ##[endgroup] 2025-12-04T08:59:18.7587268Z Docker daemon is running... 2025-12-04T08:59:18.7616337Z ##[group]Run nick-fields/retry@v3.0.0 2025-12-04T08:59:18.7616537Z with: 2025-12-04T08:59:18.7616679Z shell: bash 2025-12-04T08:59:18.7616818Z timeout_minutes: 5 2025-12-04T08:59:18.7616976Z max_attempts: 3 2025-12-04T08:59:18.7617137Z retry_wait_seconds: 30 2025-12-04T08:59:18.7618378Z command: AWS_ACCOUNT_ID=$(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 2025-12-04T08:59:18.7619617Z polling_interval_seconds: 1 2025-12-04T08:59:18.7619801Z warning_on_retry: true 2025-12-04T08:59:18.7620129Z continue_on_error: false 2025-12-04T08:59:18.7620357Z env: 2025-12-04T08:59:18.7620530Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:59:18.7620726Z AWS_RETRY_MODE: standard 2025-12-04T08:59:18.7620925Z AWS_MAX_ATTEMPTS: 5 2025-12-04T08:59:18.7621141Z AWS_DEFAULT_REGION: us-east-1 2025-12-04T08:59:18.7621340Z ##[endgroup] 2025-12-04T08:59:19.7411287Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T08:59:19.7411744Z Configure a credential helper to remove this warning. See 2025-12-04T08:59:19.7412130Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T08:59:19.7412352Z 2025-12-04T08:59:19.7412655Z Login Succeeded 2025-12-04T08:59:19.9398210Z Command completed after 1 attempt(s). 2025-12-04T08:59:19.9443214Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T08:59:19.9443536Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T08:59:19.9443809Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T08:59:19.9450042Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:59:19.9450265Z env: 2025-12-04T08:59:19.9450414Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:59:19.9450588Z ##[endgroup] 2025-12-04T08:59:19.9513858Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T08:59:19.9514208Z # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T08:59:19.9514466Z # shellcheck disable=SC2046 2025-12-04T08:59:19.9514679Z docker stop $(docker ps -q) || true 2025-12-04T08:59:19.9514889Z # Prune all of the docker images 2025-12-04T08:59:19.9515095Z docker system prune -af 2025-12-04T08:59:19.9519618Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:59:19.9519849Z env: 2025-12-04T08:59:19.9519990Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:59:19.9520155Z ##[endgroup] 2025-12-04T08:59:19.9853980Z "docker stop" requires at least 1 argument. 2025-12-04T08:59:19.9854438Z See 'docker stop --help'. 2025-12-04T08:59:19.9854756Z 2025-12-04T08:59:19.9855068Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-12-04T08:59:19.9855288Z 2025-12-04T08:59:19.9855371Z Stop one or more running containers 2025-12-04T08:59:20.0132170Z Total reclaimed space: 0B 2025-12-04T08:59:20.0244020Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-12-04T08:59:20.0244312Z with: 2025-12-04T08:59:20.0244544Z docker-image-name: ci-image:pytorch-linux-jammy-py3.11-clang12 2025-12-04T08:59:20.0244816Z use-custom-docker-registry: true 2025-12-04T08:59:20.0245017Z docker-build-dir: .ci/docker 2025-12-04T08:59:20.0245198Z docker-build-script: ./build.sh 2025-12-04T08:59:20.0245383Z working-directory: . 2025-12-04T08:59:20.0245601Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:59:20.0245826Z force-push: false 2025-12-04T08:59:20.0245978Z env: 2025-12-04T08:59:20.0246123Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:59:20.0246282Z ##[endgroup] 2025-12-04T08:59:20.0259167Z ##[group]Run set -ex 2025-12-04T08:59:20.0259363Z set -ex 2025-12-04T08:59:20.0259517Z  2025-12-04T08:59:20.0259761Z # If the docker build directory or the build script doesn't exist, the action will 2025-12-04T08:59:20.0260477Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-12-04T08:59:20.0260916Z # job could then download the pre-built image as usual 2025-12-04T08:59:20.0261409Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-12-04T08:59:20.0261896Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-12-04T08:59:20.0262098Z else 2025-12-04T08:59:20.0262270Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-12-04T08:59:20.0262527Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:59:20.0262761Z  2025-12-04T08:59:20.0263077Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-12-04T08:59:20.0263416Z  exit 0 2025-12-04T08:59:20.0263564Z fi 2025-12-04T08:59:20.0264060Z  2025-12-04T08:59:20.0264277Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-12-04T08:59:20.0264612Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-12-04T08:59:20.0264920Z  # use it as it is, but first let's extract the tag 2025-12-04T08:59:20.0265204Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-12-04T08:59:20.0265489Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:59:20.0265770Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:59:20.0266003Z else 2025-12-04T08:59:20.0266177Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-12-04T08:59:20.0266402Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-12-04T08:59:20.0266641Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-12-04T08:59:20.0266841Z  fi 2025-12-04T08:59:20.0267107Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-12-04T08:59:20.0267450Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:59:20.0267804Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:59:20.0268194Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:59:20.0268435Z fi 2025-12-04T08:59:20.0272849Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:59:20.0273082Z env: 2025-12-04T08:59:20.0273224Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:59:20.0273399Z REPO_NAME: pytorch 2025-12-04T08:59:20.0273626Z DOCKER_IMAGE_NAME: ci-image:pytorch-linux-jammy-py3.11-clang12 2025-12-04T08:59:20.0273870Z DOCKER_BUILD_DIR: .ci/docker 2025-12-04T08:59:20.0274048Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-12-04T08:59:20.0274366Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:59:20.0274612Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-12-04T08:59:20.0274790Z CUSTOM_TAG_PREFIX: 2025-12-04T08:59:20.0274949Z ##[endgroup] 2025-12-04T08:59:20.0295044Z + [[ -d .ci/docker ]] 2025-12-04T08:59:20.0295302Z + [[ -f .ci/docker/./build.sh ]] 2025-12-04T08:59:20.0295502Z + [[ true == \t\r\u\e ]] 2025-12-04T08:59:20.0295671Z + echo skip=false 2025-12-04T08:59:20.0296034Z + [[ ci-image:pytorch-linux-jammy-py3.11-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* ]] 2025-12-04T08:59:20.0296440Z + [[ ci-image:pytorch-linux-jammy-py3.11-clang12 == *:* ]] 2025-12-04T08:59:20.0296718Z + CUSTOM_TAG_PREFIX=pytorch-linux-jammy-py3.11-clang12 2025-12-04T08:59:20.0296948Z + DOCKER_IMAGE_NAME=ci-image 2025-12-04T08:59:20.0299103Z ++ git rev-parse HEAD:.ci/docker 2025-12-04T08:59:20.0316659Z + DOCKER_TAG=pytorch-linux-jammy-py3.11-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:59:20.0317348Z + echo docker-tag=pytorch-linux-jammy-py3.11-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:59:20.0318157Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.11-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:59:20.0318837Z + echo custom-tag-prefix=pytorch-linux-jammy-py3.11-clang12 2025-12-04T08:59:20.0334224Z ##[group]Run set +e 2025-12-04T08:59:20.0334433Z set +e 2025-12-04T08:59:20.0334582Z set -x 2025-12-04T08:59:20.0334731Z  2025-12-04T08:59:20.0334878Z login() { 2025-12-04T08:59:20.0335163Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-12-04T08:59:20.0335469Z } 2025-12-04T08:59:20.0335607Z  2025-12-04T08:59:20.0335751Z retry () { 2025-12-04T08:59:20.0335930Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-12-04T08:59:20.0336135Z } 2025-12-04T08:59:20.0336360Z  2025-12-04T08:59:20.0336508Z retry login "${DOCKER_REGISTRY}" 2025-12-04T08:59:20.0336694Z  2025-12-04T08:59:20.0336839Z START_TIME=$(date +%s) 2025-12-04T08:59:20.0337022Z # Wait up to 120 minutes 2025-12-04T08:59:20.0337251Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-12-04T08:59:20.0337540Z  # Check if image already exists, if it does then skip building it 2025-12-04T08:59:20.0337820Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-12-04T08:59:20.0338039Z  exit 0 2025-12-04T08:59:20.0338194Z  fi 2025-12-04T08:59:20.0338327Z  2025-12-04T08:59:20.0338557Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-12-04T08:59:20.0338925Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-12-04T08:59:20.0339297Z  # latter, it will wait for the Docker images to become available before continuing 2025-12-04T08:59:20.0339596Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-12-04T08:59:20.0339840Z  # It's a Docker build job, let's build the image 2025-12-04T08:59:20.0340182Z  break 2025-12-04T08:59:20.0340346Z  else 2025-12-04T08:59:20.0340581Z  # It's a regular build job, wait for the image to become available 2025-12-04T08:59:20.0340858Z  sleep 300 2025-12-04T08:59:20.0341038Z  fi 2025-12-04T08:59:20.0341193Z done 2025-12-04T08:59:20.0341359Z  2025-12-04T08:59:20.0341617Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-12-04T08:59:20.0341979Z # be empty. The default action would be to continue rebuild the image 2025-12-04T08:59:20.0342292Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-12-04T08:59:20.0342691Z  # if we're on the base branch then use the parent commit 2025-12-04T08:59:20.0342968Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-12-04T08:59:20.0343179Z else 2025-12-04T08:59:20.0343407Z  # otherwise we're on a PR, so use the most recent base commit 2025-12-04T08:59:20.0343721Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-12-04T08:59:20.0343952Z fi 2025-12-04T08:59:20.0344113Z  2025-12-04T08:59:20.0344292Z if [[ -z "${MERGE_BASE}" ]]; then 2025-12-04T08:59:20.0344542Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-12-04T08:59:20.0344759Z  2025-12-04T08:59:20.0345059Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-12-04T08:59:20.0345408Z  exit 0 2025-12-04T08:59:20.0345563Z fi 2025-12-04T08:59:20.0345717Z  2025-12-04T08:59:20.0345938Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-12-04T08:59:20.0346365Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-12-04T08:59:20.0346723Z  exit 1 2025-12-04T08:59:20.0346886Z fi 2025-12-04T08:59:20.0347037Z  2025-12-04T08:59:20.0347278Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-12-04T08:59:20.0347654Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-12-04T08:59:20.0347986Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-12-04T08:59:20.0348356Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-12-04T08:59:20.0348760Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-12-04T08:59:20.0349039Z fi 2025-12-04T08:59:20.0349164Z  2025-12-04T08:59:20.0349368Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-12-04T08:59:20.0353635Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:59:20.0353864Z env: 2025-12-04T08:59:20.0354009Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:59:20.0354190Z DOCKER_BUILD_DIR: .ci/docker 2025-12-04T08:59:20.0354414Z BASE_REVISION: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:59:20.0354894Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.11-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:59:20.0355459Z DOCKER_TAG: pytorch-linux-jammy-py3.11-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:59:20.0355821Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:59:20.0356050Z DOCKER_PUSH: 2025-12-04T08:59:20.0356192Z ##[endgroup] 2025-12-04T08:59:20.0376806Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:59:20.0377124Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:59:20.0377398Z + aws ecr get-login-password --region us-east-1 2025-12-04T08:59:20.0378641Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:59:20.4235227Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T08:59:20.4235826Z Configure a credential helper to remove this warning. See 2025-12-04T08:59:20.4236382Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T08:59:20.4236712Z 2025-12-04T08:59:20.4259511Z Login Succeeded 2025-12-04T08:59:20.4271168Z ++ date +%s 2025-12-04T08:59:20.4278992Z + START_TIME=1764838760 2025-12-04T08:59:20.4281430Z ++ date +%s 2025-12-04T08:59:20.4287586Z + [[ 1764831560 -lt 1764838760 ]] 2025-12-04T08:59:20.4288356Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.11-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:59:20.6143850Z { 2025-12-04T08:59:20.6145132Z "schemaVersion": 2, 2025-12-04T08:59:20.6145726Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-12-04T08:59:20.6146082Z "config": { 2025-12-04T08:59:20.6146615Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-12-04T08:59:20.6147068Z "size": 33405, 2025-12-04T08:59:20.6147532Z "digest": "sha256:cf7ef3e1e9c8536b748d15fbcc85edbf5bb99ce4a9dad31ca8989d82dc9e72a6" 2025-12-04T08:59:20.6148031Z }, 2025-12-04T08:59:20.6148252Z "layers": [ 2025-12-04T08:59:20.6148482Z { 2025-12-04T08:59:20.6148822Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:20.6149190Z "size": 30447951, 2025-12-04T08:59:20.6149562Z "digest": "sha256:63e5bc7682b85ae57a1221210f64d62e7a90b0a30f19af4ca734b8242ae49d63" 2025-12-04T08:59:20.6149963Z }, 2025-12-04T08:59:20.6150140Z { 2025-12-04T08:59:20.6150433Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:20.6150801Z "size": 1554, 2025-12-04T08:59:20.6151206Z "digest": "sha256:0654128577a372b88629756f0823ed92e0ad319f84ab724eafd7b10aeb9620dd" 2025-12-04T08:59:20.6151619Z }, 2025-12-04T08:59:20.6151793Z { 2025-12-04T08:59:20.6152055Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:20.6152371Z "size": 344035890, 2025-12-04T08:59:20.6152750Z "digest": "sha256:6d61dc01eb55cba138934c8e63d9a0906f9ec2a097189a8e626f9b902583e0d7" 2025-12-04T08:59:20.6153160Z }, 2025-12-04T08:59:20.6153345Z { 2025-12-04T08:59:20.6153631Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:20.6153980Z "size": 787, 2025-12-04T08:59:20.6154357Z "digest": "sha256:2d946ce8ca536a6cbde22339065f3486521e6dc9d2080558b0eab3e4c55874aa" 2025-12-04T08:59:20.6154756Z }, 2025-12-04T08:59:20.6154902Z { 2025-12-04T08:59:20.6155180Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:20.6155547Z "size": 63270200, 2025-12-04T08:59:20.6156291Z "digest": "sha256:6548d975cc5949e1c147f018b51643a35e1eb01a2848698b99f150878fa2b328" 2025-12-04T08:59:20.6156668Z }, 2025-12-04T08:59:20.6156828Z { 2025-12-04T08:59:20.6157095Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:20.6157433Z "size": 703, 2025-12-04T08:59:20.6157781Z "digest": "sha256:492f87f37d9d9367ed03cc65fe216cc8f99c12aaffb4092c62ed143bb9b8768b" 2025-12-04T08:59:20.6158290Z + exit 0 2025-12-04T08:59:20.6158448Z }, 2025-12-04T08:59:20.6158605Z { 2025-12-04T08:59:20.6158866Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:20.6159100Z "size": 1215, 2025-12-04T08:59:20.6159429Z "digest": "sha256:05b5a39e071bbe446104323c72e6e67abe44c7807f23ed717cb9993b652e1b7b" 2025-12-04T08:59:20.6159805Z }, 2025-12-04T08:59:20.6159965Z { 2025-12-04T08:59:20.6160227Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:20.6160505Z "size": 484, 2025-12-04T08:59:20.6160753Z "digest": "sha256:44675e9e06945a5d7b861c91e801225db759220db476497c5050013fa0928f25" 2025-12-04T08:59:20.6161008Z }, 2025-12-04T08:59:20.6161132Z { 2025-12-04T08:59:20.6161330Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:20.6161559Z "size": 110, 2025-12-04T08:59:20.6161797Z "digest": "sha256:5166b424039bde64c026224a2f42919841a9e4e2ef9fb73a9057ed1d1d4e6dfb" 2025-12-04T08:59:20.6162076Z }, 2025-12-04T08:59:20.6162231Z { 2025-12-04T08:59:20.6162497Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:20.6162830Z "size": 4958, 2025-12-04T08:59:20.6163080Z "digest": "sha256:ba344c98c7b7cfc4f34693b62e97ee6269107eff1eef5c67b4649d187fa2b707" 2025-12-04T08:59:20.6163339Z }, 2025-12-04T08:59:20.6163463Z { 2025-12-04T08:59:20.6163656Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:20.6163887Z "size": 1755, 2025-12-04T08:59:20.6164212Z "digest": "sha256:d243d1d655c4017c93a05c5147e949778f78a87bf487048c7092f294b6fe420d" 2025-12-04T08:59:20.6164476Z }, 2025-12-04T08:59:20.6164595Z { 2025-12-04T08:59:20.6164797Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:20.6165037Z "size": 724, 2025-12-04T08:59:20.6165287Z "digest": "sha256:fc1412fe4000c0dd397f0ba250ad7d1afb59bc3bbf6169dcb4e30aa82ae11911" 2025-12-04T08:59:20.6165561Z }, 2025-12-04T08:59:20.6165690Z { 2025-12-04T08:59:20.6165880Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:20.6166120Z "size": 543, 2025-12-04T08:59:20.6166367Z "digest": "sha256:1613f58ea7b86a968057b06132b120b6b0bc5ba9f9b1c69dce54dc25a7b137d2" 2025-12-04T08:59:20.6166637Z }, 2025-12-04T08:59:20.6166757Z { 2025-12-04T08:59:20.6166956Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:20.6167200Z "size": 3202672251, 2025-12-04T08:59:20.6167453Z "digest": "sha256:a0df15214ccbf533b45172a24aeb1d19230f9ed22fa1be9aa6cb90029a6e4016" 2025-12-04T08:59:20.6167736Z }, 2025-12-04T08:59:20.6167868Z { 2025-12-04T08:59:20.6168057Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:20.6168304Z "size": 32, 2025-12-04T08:59:20.6168555Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:59:20.6168818Z }, 2025-12-04T08:59:20.6168949Z { 2025-12-04T08:59:20.6169149Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:20.6169381Z "size": 397, 2025-12-04T08:59:20.6169625Z "digest": "sha256:d70aac5b2b73045996f5fd9f05d1699c478432ae19e347a7f670788e8c93b0fd" 2025-12-04T08:59:20.6169892Z }, 2025-12-04T08:59:20.6170020Z { 2025-12-04T08:59:20.6170211Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:20.6170449Z "size": 104, 2025-12-04T08:59:20.6170698Z "digest": "sha256:f4bd3da37de076f1bd3d4f9ac2277d49db89386961a0ed43471d75c152f58edf" 2025-12-04T08:59:20.6170958Z }, 2025-12-04T08:59:20.6171136Z { 2025-12-04T08:59:20.6171329Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:20.6171558Z "size": 230, 2025-12-04T08:59:20.6171803Z "digest": "sha256:cdcd625bc053e90af842ef360221d237bf8ef32c3e36f8043c582ca7c550b562" 2025-12-04T08:59:20.6172069Z }, 2025-12-04T08:59:20.6172185Z { 2025-12-04T08:59:20.6172379Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:20.6172618Z "size": 2967929, 2025-12-04T08:59:20.6172863Z "digest": "sha256:679baf579537d72e007d8665e01e663ab6da1182b7bb6850615ae6593ebad39e" 2025-12-04T08:59:20.6173120Z }, 2025-12-04T08:59:20.6173245Z { 2025-12-04T08:59:20.6173443Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:20.6173674Z "size": 1472, 2025-12-04T08:59:20.6173924Z "digest": "sha256:daabdea6aed22adfd1d380663afd5d11fc81e582fd6efd4d89b9739047cc3bcb" 2025-12-04T08:59:20.6174194Z }, 2025-12-04T08:59:20.6174307Z { 2025-12-04T08:59:20.6174505Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:20.6174738Z "size": 481, 2025-12-04T08:59:20.6174972Z "digest": "sha256:2826ba398aecb33de968d056262981b966ac0e3dd4976a8adc8f7c56eb4ecd04" 2025-12-04T08:59:20.6175235Z }, 2025-12-04T08:59:20.6175360Z { 2025-12-04T08:59:20.6175545Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:20.6175779Z "size": 200, 2025-12-04T08:59:20.6176025Z "digest": "sha256:fc1182fb888ddb120b41ad5244730ba5bebdc42625fe97e5b19b9ede1b6d2e9a" 2025-12-04T08:59:20.6176296Z }, 2025-12-04T08:59:20.6176413Z { 2025-12-04T08:59:20.6176609Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:20.6176842Z "size": 606, 2025-12-04T08:59:20.6177081Z "digest": "sha256:fa493b1c60dd673a733f95fc7e8e6c803db4dc9939385be541261ce86c2f7174" 2025-12-04T08:59:20.6177345Z }, 2025-12-04T08:59:20.6177467Z { 2025-12-04T08:59:20.6177694Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:20.6177935Z "size": 226, 2025-12-04T08:59:20.6178174Z "digest": "sha256:7b1825828668950b655d911734cc21bd5f5a6b992e7a2ffabfe3b9f18169fb89" 2025-12-04T08:59:20.6178427Z }, 2025-12-04T08:59:20.6178589Z { 2025-12-04T08:59:20.6178782Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:20.6179010Z "size": 829, 2025-12-04T08:59:20.6179244Z "digest": "sha256:88380ae75e9cb0273fe30a321fc80d2946d380f44f00b0631fa38961f9cba30c" 2025-12-04T08:59:20.6179506Z }, 2025-12-04T08:59:20.6179628Z { 2025-12-04T08:59:20.6179825Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:20.6180234Z "size": 32, 2025-12-04T08:59:20.6180533Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:59:20.6180848Z }, 2025-12-04T08:59:20.6180997Z { 2025-12-04T08:59:20.6181227Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:20.6181488Z "size": 104, 2025-12-04T08:59:20.6181726Z "digest": "sha256:21639d12df82a155b275fdb9e69349802286d8f2159637e73c108dd5201ebb57" 2025-12-04T08:59:20.6182031Z }, 2025-12-04T08:59:20.6182166Z { 2025-12-04T08:59:20.6182402Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:20.6182686Z "size": 1495, 2025-12-04T08:59:20.6182962Z "digest": "sha256:984876785a336a7d037ee1e9d266bac67b98361b2087955949b392f531c19f9d" 2025-12-04T08:59:20.6183268Z }, 2025-12-04T08:59:20.6183408Z { 2025-12-04T08:59:20.6183628Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:20.6183914Z "size": 458968337, 2025-12-04T08:59:20.6184217Z "digest": "sha256:0b15eef485543b6c78ce55f76059c7563c816d7582acda8b1663ce7a0c787d40" 2025-12-04T08:59:20.6206519Z }, 2025-12-04T08:59:20.6206688Z { 2025-12-04T08:59:20.6206927Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:20.6207187Z "size": 164, 2025-12-04T08:59:20.6207664Z "digest": 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"sha256:b927f3671e1717fa05a2496199eb3bd9147b290b69988c6f85a34eed934ac81c" 2025-12-04T08:59:20.6281267Z }, 2025-12-04T08:59:20.6281390Z { 2025-12-04T08:59:20.6281573Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:20.6281810Z "size": 8075, 2025-12-04T08:59:20.6282052Z "digest": "sha256:2aeb8f1589af74244a793f41c566d23d66166511f4e430b6967e1db3e78d220e" 2025-12-04T08:59:20.6282304Z }, 2025-12-04T08:59:20.6282429Z { 2025-12-04T08:59:20.6282623Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:20.6282857Z "size": 305, 2025-12-04T08:59:20.6283087Z "digest": "sha256:6606409b8ad20a56652fc48558e98e2510a75d671f86f8ef4f348d4f059ed875" 2025-12-04T08:59:20.6283380Z }, 2025-12-04T08:59:20.6283502Z { 2025-12-04T08:59:20.6283686Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:20.6283922Z "size": 32, 2025-12-04T08:59:20.6284161Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:59:20.6284417Z }, 2025-12-04T08:59:20.6284536Z { 2025-12-04T08:59:20.6284728Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:20.6284952Z "size": 108, 2025-12-04T08:59:20.6285190Z "digest": "sha256:b97abd0f169534c35bf81c569f550f16b92385bcb7777e8524daeb0e05f5a245" 2025-12-04T08:59:20.6285455Z }, 2025-12-04T08:59:20.6285567Z { 2025-12-04T08:59:20.6285759Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:20.6285990Z "size": 54145699, 2025-12-04T08:59:20.6286243Z "digest": "sha256:49bf8319006fc8fad0b97ba43f77e7ea715a720c01c88ff4ca787e47ee7abd34" 2025-12-04T08:59:20.6286504Z }, 2025-12-04T08:59:20.6286629Z { 2025-12-04T08:59:20.6286818Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:20.6287043Z "size": 32, 2025-12-04T08:59:20.6287286Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:59:20.6287552Z } 2025-12-04T08:59:20.6287667Z ] 2025-12-04T08:59:20.6287797Z } 2025-12-04T08:59:20.6309702Z ##[group]Run set -eux 2025-12-04T08:59:20.6309903Z set -eux 2025-12-04T08:59:20.6310155Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have 2025-12-04T08:59:20.6310804Z 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 2025-12-04T08:59:20.6316407Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:59:20.6316639Z env: 2025-12-04T08:59:20.6316885Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:59:20.6317069Z ##[endgroup] 2025-12-04T08:59:20.6340659Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-12-04T08:59:20.6341578Z + jq --raw-output .SecretString 2025-12-04T08:59:20.6341959Z + jq -r .docker_hub_readonly_token 2025-12-04T08:59:20.6342812Z + docker login --username pytorchbot --password-stdin 2025-12-04T08:59:21.0783663Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T08:59:21.0784246Z Configure a credential helper to remove this warning. See 2025-12-04T08:59:21.0784816Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T08:59:21.0785178Z 2025-12-04T08:59:21.0787562Z Login Succeeded 2025-12-04T08:59:21.0852471Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-12-04T08:59:21.0852721Z tag=${ECR_DOCKER_IMAGE##*:} 2025-12-04T08:59:21.0852973Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-12-04T08:59:21.0857495Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:59:21.0857747Z env: 2025-12-04T08:59:21.0857902Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:59:21.0858364Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.11-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:59:21.0858823Z ##[endgroup] 2025-12-04T08:59:21.0881710Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-py3.11-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:59:21.0912897Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-12-04T08:59:21.0913184Z with: 2025-12-04T08:59:21.0913608Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.11-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:59:21.0914109Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:59:21.0914331Z env: 2025-12-04T08:59:21.0914591Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:59:21.0914760Z ##[endgroup] 2025-12-04T08:59:21.0950016Z ##[group]Run set -x 2025-12-04T08:59:21.0950213Z set -x 2025-12-04T08:59:21.0950367Z set +e 2025-12-04T08:59:21.0950507Z  2025-12-04T08:59:21.0950653Z login() { 2025-12-04T08:59:21.0950946Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-12-04T08:59:21.0951237Z } 2025-12-04T08:59:21.0951379Z  2025-12-04T08:59:21.0951558Z retry () { 2025-12-04T08:59:21.0951729Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-12-04T08:59:21.0951922Z } 2025-12-04T08:59:21.0952056Z  2025-12-04T08:59:21.0952198Z retry login "${DOCKER_REGISTRY}" 2025-12-04T08:59:21.0952381Z  2025-12-04T08:59:21.0952659Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-12-04T08:59:21.0953031Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-12-04T08:59:21.0953250Z  2025-12-04T08:59:21.0953384Z set -e 2025-12-04T08:59:21.0953829Z # ignore output since only exit code is used for conditional 2025-12-04T08:59:21.0954110Z # only pull docker image if it's not available locally 2025-12-04T08:59:21.0954429Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-12-04T08:59:21.0954731Z  retry docker pull "${DOCKER_IMAGE}" 2025-12-04T08:59:21.0954920Z fi 2025-12-04T08:59:21.0959030Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:59:21.0959291Z env: 2025-12-04T08:59:21.0959440Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:59:21.0959920Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.11-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:59:21.0960478Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:59:21.0960724Z ##[endgroup] 2025-12-04T08:59:21.0980606Z + set +e 2025-12-04T08:59:21.0980913Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:59:21.0981230Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:59:21.0983511Z + aws ecr get-login-password --region us-east-1 2025-12-04T08:59:21.0983900Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:59:21.4958157Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T08:59:21.4958548Z Configure a credential helper to remove this warning. See 2025-12-04T08:59:21.4958904Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T08:59:21.4959181Z 2025-12-04T08:59:21.4959283Z Login Succeeded 2025-12-04T08:59:21.4974426Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.11-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:59:21.4975066Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-12-04T08:59:21.6774486Z + IMAGE_SIZE=8158.444288253784 2025-12-04T08:59:21.6774908Z Compressed size of image in MB: 8158.444288253784 2025-12-04T08:59:21.6775321Z + echo 'Compressed size of image in MB: 8158.444288253784' 2025-12-04T08:59:21.6775664Z + set -e 2025-12-04T08:59:21.6776501Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.11-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:59:21.6863590Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.11-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:59:21.6864516Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.11-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:59:21.8898945Z pytorch-linux-jammy-py3.11-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a: Pulling from pytorch/ci-image 2025-12-04T08:59:21.8900737Z 63e5bc7682b8: Pulling fs layer 2025-12-04T08:59:21.8900975Z 0654128577a3: Pulling fs layer 2025-12-04T08:59:21.8901241Z 6d61dc01eb55: Pulling fs layer 2025-12-04T08:59:21.8901484Z 2d946ce8ca53: Pulling fs layer 2025-12-04T08:59:21.8901755Z 6548d975cc59: Pulling fs layer 2025-12-04T08:59:21.8902209Z 492f87f37d9d: Pulling fs layer 2025-12-04T08:59:21.8902457Z 05b5a39e071b: Pulling fs layer 2025-12-04T08:59:21.8902674Z 44675e9e0694: Pulling fs layer 2025-12-04T08:59:21.8902919Z 5166b424039b: Pulling fs layer 2025-12-04T08:59:21.8903145Z ba344c98c7b7: Pulling fs layer 2025-12-04T08:59:21.8903360Z d243d1d655c4: Pulling fs layer 2025-12-04T08:59:21.8903586Z fc1412fe4000: Pulling fs layer 2025-12-04T08:59:21.8903812Z 1613f58ea7b8: Pulling fs layer 2025-12-04T08:59:21.8904038Z a0df15214ccb: Pulling fs layer 2025-12-04T08:59:21.8904253Z 4f4fb700ef54: Pulling fs layer 2025-12-04T08:59:21.8904522Z d70aac5b2b73: Pulling fs layer 2025-12-04T08:59:21.8904759Z f4bd3da37de0: Pulling fs layer 2025-12-04T08:59:21.8904983Z cdcd625bc053: Pulling fs layer 2025-12-04T08:59:21.8905207Z 679baf579537: Pulling fs layer 2025-12-04T08:59:21.8905440Z daabdea6aed2: Pulling fs layer 2025-12-04T08:59:21.8905669Z 2826ba398aec: Pulling fs layer 2025-12-04T08:59:21.8905889Z fc1182fb888d: Pulling fs layer 2025-12-04T08:59:21.8906120Z fa493b1c60dd: Pulling fs layer 2025-12-04T08:59:21.8906302Z 7b1825828668: Pulling fs layer 2025-12-04T08:59:21.8906463Z 88380ae75e9c: Pulling fs layer 2025-12-04T08:59:21.8906637Z 21639d12df82: Pulling fs layer 2025-12-04T08:59:21.8906810Z 984876785a33: Pulling fs layer 2025-12-04T08:59:21.8906971Z 0b15eef48554: Pulling fs layer 2025-12-04T08:59:21.8907140Z b4711f05b238: Pulling fs layer 2025-12-04T08:59:21.8907311Z c7fbad75ca53: Pulling fs layer 2025-12-04T08:59:21.8907473Z 925276857e1a: Pulling fs layer 2025-12-04T08:59:21.8907645Z f1ac3ccec935: Pulling fs layer 2025-12-04T08:59:21.8907815Z 6b1e9840e960: Pulling fs layer 2025-12-04T08:59:21.8907988Z a50fc443aad0: Pulling fs layer 2025-12-04T08:59:21.8908155Z 0cf2ba6ce184: Pulling fs layer 2025-12-04T08:59:21.8908325Z c4660131b771: Pulling fs layer 2025-12-04T08:59:21.8908490Z 6548d975cc59: Waiting 2025-12-04T08:59:21.8908646Z 9c0438f10366: Pulling fs layer 2025-12-04T08:59:21.8908817Z 79873f58fbe6: Pulling fs layer 2025-12-04T08:59:21.8908981Z 05b5a39e071b: Waiting 2025-12-04T08:59:21.8909123Z 44675e9e0694: Waiting 2025-12-04T08:59:21.8909271Z 492f87f37d9d: Waiting 2025-12-04T08:59:21.8909428Z 3049aaa95eda: Pulling fs layer 2025-12-04T08:59:21.8909595Z af6f3f404538: Pulling fs layer 2025-12-04T08:59:21.8909754Z 5166b424039b: Waiting 2025-12-04T08:59:21.8909905Z 2d946ce8ca53: Waiting 2025-12-04T08:59:21.8910054Z 6484e5eb342a: Pulling fs layer 2025-12-04T08:59:21.8910218Z ba344c98c7b7: Waiting 2025-12-04T08:59:21.8910375Z eee399dc660c: Pulling fs layer 2025-12-04T08:59:21.8910531Z d243d1d655c4: Waiting 2025-12-04T08:59:21.8910693Z 8e41baaca772: Pulling fs layer 2025-12-04T08:59:21.8910863Z 88380ae75e9c: Waiting 2025-12-04T08:59:21.8911018Z 3b8742165107: Pulling fs layer 2025-12-04T08:59:21.8911174Z fc1412fe4000: Waiting 2025-12-04T08:59:21.8911330Z 360de8b979d6: Pulling fs layer 2025-12-04T08:59:21.8911494Z 1613f58ea7b8: Waiting 2025-12-04T08:59:21.8911633Z 21639d12df82: Waiting 2025-12-04T08:59:21.8911780Z a0df15214ccb: Waiting 2025-12-04T08:59:21.8911935Z 031d4c3953f6: Pulling fs layer 2025-12-04T08:59:21.8912089Z 984876785a33: Waiting 2025-12-04T08:59:21.8912239Z 4f4fb700ef54: Waiting 2025-12-04T08:59:21.8912564Z 0d0b25a8472d: Pulling fs layer 2025-12-04T08:59:21.8912725Z 0b15eef48554: Waiting 2025-12-04T08:59:21.8912885Z a1f2f33f45ee: Pulling fs layer 2025-12-04T08:59:21.8913060Z d70aac5b2b73: Waiting 2025-12-04T08:59:21.8913204Z b4711f05b238: Waiting 2025-12-04T08:59:21.8913365Z 1bb10e58ca5e: Pulling fs layer 2025-12-04T08:59:21.8913533Z f4bd3da37de0: Waiting 2025-12-04T08:59:21.8913676Z c7fbad75ca53: Waiting 2025-12-04T08:59:21.8913833Z cdcd625bc053: Waiting 2025-12-04T08:59:21.8914066Z 4b53fad1a16d: Pulling fs layer 2025-12-04T08:59:21.8914231Z d9e0d81b014e: Pulling fs layer 2025-12-04T08:59:21.8914397Z 925276857e1a: Waiting 2025-12-04T08:59:21.8914550Z 0ede2148453d: Pulling fs layer 2025-12-04T08:59:21.8914718Z f1ac3ccec935: Waiting 2025-12-04T08:59:21.8914867Z 6dcb75885cbd: Pulling fs layer 2025-12-04T08:59:21.8915041Z 5c55ae2ee099: Pulling fs layer 2025-12-04T08:59:21.8915208Z daabdea6aed2: Waiting 2025-12-04T08:59:21.8915358Z ec00b30b4877: Pulling fs layer 2025-12-04T08:59:21.8915529Z 5b496b0cc745: Pulling fs layer 2025-12-04T08:59:21.8915697Z 2826ba398aec: Waiting 2025-12-04T08:59:21.8915848Z f22b7cbfd5ae: Pulling fs layer 2025-12-04T08:59:21.8916013Z fc1182fb888d: Waiting 2025-12-04T08:59:21.8916170Z d480b995e863: Pulling fs layer 2025-12-04T08:59:21.8916323Z 6b1e9840e960: Waiting 2025-12-04T08:59:21.8916480Z f49bc3afd6e1: Pulling fs layer 2025-12-04T08:59:21.8916648Z 18c26a6319e6: Pulling fs layer 2025-12-04T08:59:21.8916803Z a50fc443aad0: Waiting 2025-12-04T08:59:21.8916957Z 5708d2297288: Pulling fs layer 2025-12-04T08:59:21.8917130Z 6898ee06fc65: Pulling fs layer 2025-12-04T08:59:21.8917289Z e32bbc368797: Pulling fs layer 2025-12-04T08:59:21.8917453Z 0cf2ba6ce184: Waiting 2025-12-04T08:59:21.8917611Z b927f3671e17: Pulling fs layer 2025-12-04T08:59:21.8917778Z 2aeb8f1589af: Pulling fs layer 2025-12-04T08:59:21.8917938Z 6606409b8ad2: Pulling fs layer 2025-12-04T08:59:21.8918095Z c4660131b771: Waiting 2025-12-04T08:59:21.8918241Z 9c0438f10366: Waiting 2025-12-04T08:59:21.8918379Z 79873f58fbe6: Waiting 2025-12-04T08:59:21.8918528Z fa493b1c60dd: Waiting 2025-12-04T08:59:21.8918680Z b97abd0f1695: Pulling fs layer 2025-12-04T08:59:21.8918836Z 7b1825828668: Waiting 2025-12-04T08:59:21.8918979Z 679baf579537: Waiting 2025-12-04T08:59:21.8919136Z 49bf8319006f: Pulling fs layer 2025-12-04T08:59:21.8919291Z 3049aaa95eda: Waiting 2025-12-04T08:59:21.8919440Z af6f3f404538: Waiting 2025-12-04T08:59:21.8920066Z 0d0b25a8472d: Waiting 2025-12-04T08:59:21.8920374Z a1f2f33f45ee: Waiting 2025-12-04T08:59:21.8920530Z 6484e5eb342a: Waiting 2025-12-04T08:59:21.8920688Z 5b496b0cc745: Waiting 2025-12-04T08:59:21.8920843Z 0ede2148453d: Waiting 2025-12-04T08:59:21.8921018Z eee399dc660c: Waiting 2025-12-04T08:59:21.8921164Z f22b7cbfd5ae: Waiting 2025-12-04T08:59:21.8921317Z 1bb10e58ca5e: Waiting 2025-12-04T08:59:21.8921469Z 8e41baaca772: Waiting 2025-12-04T08:59:21.8921608Z d480b995e863: Waiting 2025-12-04T08:59:21.8921758Z 6dcb75885cbd: Waiting 2025-12-04T08:59:21.8921901Z 3b8742165107: Waiting 2025-12-04T08:59:21.8922039Z 4b53fad1a16d: Waiting 2025-12-04T08:59:21.8922188Z 5c55ae2ee099: Waiting 2025-12-04T08:59:21.8922337Z d9e0d81b014e: Waiting 2025-12-04T08:59:21.8922481Z f49bc3afd6e1: Waiting 2025-12-04T08:59:21.8922631Z 360de8b979d6: Waiting 2025-12-04T08:59:21.8922780Z ec00b30b4877: Waiting 2025-12-04T08:59:21.8922919Z e32bbc368797: Waiting 2025-12-04T08:59:21.8923064Z 6606409b8ad2: Waiting 2025-12-04T08:59:21.8923210Z 031d4c3953f6: Waiting 2025-12-04T08:59:21.8923349Z 5708d2297288: Waiting 2025-12-04T08:59:21.8923500Z b927f3671e17: Waiting 2025-12-04T08:59:21.8923643Z 6898ee06fc65: Waiting 2025-12-04T08:59:21.8923784Z b97abd0f1695: Waiting 2025-12-04T08:59:21.8923932Z 2aeb8f1589af: Waiting 2025-12-04T08:59:21.8924078Z 49bf8319006f: Waiting 2025-12-04T08:59:21.9496800Z 0654128577a3: Verifying Checksum 2025-12-04T08:59:21.9497061Z 0654128577a3: Download complete 2025-12-04T08:59:22.0086765Z 2d946ce8ca53: Verifying Checksum 2025-12-04T08:59:22.0087052Z 2d946ce8ca53: Download complete 2025-12-04T08:59:22.2383156Z 63e5bc7682b8: Download complete 2025-12-04T08:59:22.3132625Z 492f87f37d9d: Verifying Checksum 2025-12-04T08:59:22.3132938Z 492f87f37d9d: Download complete 2025-12-04T08:59:22.3761589Z 05b5a39e071b: Download complete 2025-12-04T08:59:22.4429710Z 44675e9e0694: Verifying Checksum 2025-12-04T08:59:22.4430016Z 44675e9e0694: Download complete 2025-12-04T08:59:22.5314709Z 5166b424039b: Verifying Checksum 2025-12-04T08:59:22.5315063Z 5166b424039b: Download complete 2025-12-04T08:59:22.6144654Z ba344c98c7b7: Verifying Checksum 2025-12-04T08:59:22.6145264Z ba344c98c7b7: Download complete 2025-12-04T08:59:22.7056614Z 6548d975cc59: Verifying Checksum 2025-12-04T08:59:22.7134042Z 6548d975cc59: Download complete 2025-12-04T08:59:22.7134415Z d243d1d655c4: Verifying Checksum 2025-12-04T08:59:22.7134712Z d243d1d655c4: Download complete 2025-12-04T08:59:22.7727380Z fc1412fe4000: Verifying Checksum 2025-12-04T08:59:22.7727908Z fc1412fe4000: Download complete 2025-12-04T08:59:22.7999807Z 1613f58ea7b8: Verifying Checksum 2025-12-04T08:59:22.8000297Z 1613f58ea7b8: Download complete 2025-12-04T08:59:22.8078387Z 4f4fb700ef54: Verifying Checksum 2025-12-04T08:59:22.8078656Z 4f4fb700ef54: Download complete 2025-12-04T08:59:22.8744919Z d70aac5b2b73: Download complete 2025-12-04T08:59:22.8963554Z 63e5bc7682b8: Pull complete 2025-12-04T08:59:22.9172000Z 0654128577a3: Pull complete 2025-12-04T08:59:22.9947544Z f4bd3da37de0: Verifying Checksum 2025-12-04T08:59:22.9947856Z f4bd3da37de0: Download complete 2025-12-04T08:59:23.0988137Z cdcd625bc053: Verifying Checksum 2025-12-04T08:59:23.0988462Z cdcd625bc053: Download complete 2025-12-04T08:59:23.1741445Z 679baf579537: Verifying Checksum 2025-12-04T08:59:23.1741756Z 679baf579537: Download complete 2025-12-04T08:59:23.2554554Z daabdea6aed2: Download complete 2025-12-04T08:59:23.3157890Z 2826ba398aec: Verifying Checksum 2025-12-04T08:59:23.3158214Z 2826ba398aec: Download complete 2025-12-04T08:59:23.3941835Z fc1182fb888d: Verifying Checksum 2025-12-04T08:59:23.3942264Z fc1182fb888d: Download complete 2025-12-04T08:59:23.4618886Z fa493b1c60dd: Verifying Checksum 2025-12-04T08:59:23.4619177Z fa493b1c60dd: Download complete 2025-12-04T08:59:23.5526061Z 7b1825828668: Verifying Checksum 2025-12-04T08:59:23.5526353Z 7b1825828668: Download complete 2025-12-04T08:59:23.6163670Z 88380ae75e9c: Verifying Checksum 2025-12-04T08:59:23.6163952Z 88380ae75e9c: Download complete 2025-12-04T08:59:23.6901381Z 21639d12df82: Verifying Checksum 2025-12-04T08:59:23.6901815Z 21639d12df82: Download complete 2025-12-04T08:59:23.7719881Z 984876785a33: Verifying Checksum 2025-12-04T08:59:23.7720177Z 984876785a33: Download complete 2025-12-04T08:59:25.3860622Z 6d61dc01eb55: Download complete 2025-12-04T08:59:25.4773745Z b4711f05b238: Verifying Checksum 2025-12-04T08:59:25.4774314Z b4711f05b238: Download complete 2025-12-04T08:59:25.5609668Z c7fbad75ca53: Verifying Checksum 2025-12-04T08:59:25.5610275Z c7fbad75ca53: Download complete 2025-12-04T08:59:25.6278827Z 925276857e1a: Download complete 2025-12-04T08:59:25.7056653Z f1ac3ccec935: Download complete 2025-12-04T08:59:25.9498936Z 6b1e9840e960: Verifying Checksum 2025-12-04T08:59:25.9499422Z 6b1e9840e960: Download complete 2025-12-04T08:59:26.0415696Z a50fc443aad0: Download complete 2025-12-04T08:59:26.1101100Z 0cf2ba6ce184: Verifying Checksum 2025-12-04T08:59:26.1101571Z 0cf2ba6ce184: Download complete 2025-12-04T08:59:26.1747298Z c4660131b771: Verifying Checksum 2025-12-04T08:59:26.1747678Z c4660131b771: Download complete 2025-12-04T08:59:26.2542254Z 9c0438f10366: Download complete 2025-12-04T08:59:26.3606320Z 79873f58fbe6: Verifying Checksum 2025-12-04T08:59:26.3606712Z 79873f58fbe6: Download complete 2025-12-04T08:59:26.4187529Z 3049aaa95eda: Verifying Checksum 2025-12-04T08:59:26.4187994Z 3049aaa95eda: Download complete 2025-12-04T08:59:26.4907329Z af6f3f404538: Verifying Checksum 2025-12-04T08:59:26.4907714Z af6f3f404538: Download complete 2025-12-04T08:59:26.5671496Z 6484e5eb342a: Verifying Checksum 2025-12-04T08:59:26.5671854Z 6484e5eb342a: Download complete 2025-12-04T08:59:28.4080423Z 0b15eef48554: Verifying Checksum 2025-12-04T08:59:28.4081091Z 0b15eef48554: Download complete 2025-12-04T08:59:37.7018747Z eee399dc660c: Verifying Checksum 2025-12-04T08:59:37.7019043Z eee399dc660c: Download complete 2025-12-04T08:59:37.7824107Z 3b8742165107: Verifying Checksum 2025-12-04T08:59:37.7824695Z 3b8742165107: Download complete 2025-12-04T08:59:37.8410126Z 360de8b979d6: Download complete 2025-12-04T08:59:37.9289905Z 031d4c3953f6: Verifying Checksum 2025-12-04T08:59:37.9290200Z 031d4c3953f6: Download complete 2025-12-04T08:59:38.0140492Z 0d0b25a8472d: Verifying Checksum 2025-12-04T08:59:38.0140869Z 0d0b25a8472d: Download complete 2025-12-04T08:59:38.1026003Z a1f2f33f45ee: Verifying Checksum 2025-12-04T08:59:38.1026355Z a1f2f33f45ee: Download complete 2025-12-04T08:59:38.1878472Z 1bb10e58ca5e: Verifying Checksum 2025-12-04T08:59:38.1878857Z 1bb10e58ca5e: Download complete 2025-12-04T08:59:38.2584167Z 4b53fad1a16d: Verifying Checksum 2025-12-04T08:59:38.3289114Z d9e0d81b014e: Verifying Checksum 2025-12-04T08:59:38.3289447Z d9e0d81b014e: Download complete 2025-12-04T08:59:38.4137055Z 0ede2148453d: Verifying Checksum 2025-12-04T08:59:38.4137364Z 0ede2148453d: Download complete 2025-12-04T08:59:38.4903014Z 6dcb75885cbd: Verifying Checksum 2025-12-04T08:59:38.4903342Z 6dcb75885cbd: Download complete 2025-12-04T08:59:38.5745101Z 5c55ae2ee099: Verifying Checksum 2025-12-04T08:59:38.5745462Z 5c55ae2ee099: Download complete 2025-12-04T08:59:38.6831291Z ec00b30b4877: Verifying Checksum 2025-12-04T08:59:38.6831782Z ec00b30b4877: Download complete 2025-12-04T08:59:38.7665071Z 5b496b0cc745: Verifying Checksum 2025-12-04T08:59:38.7665364Z 5b496b0cc745: Download complete 2025-12-04T08:59:38.8483621Z f22b7cbfd5ae: Download complete 2025-12-04T08:59:38.9245916Z 6d61dc01eb55: Pull complete 2025-12-04T08:59:38.9417587Z d480b995e863: Download complete 2025-12-04T08:59:39.0203425Z f49bc3afd6e1: Verifying Checksum 2025-12-04T08:59:39.0203741Z f49bc3afd6e1: Download complete 2025-12-04T08:59:39.0920650Z 18c26a6319e6: Verifying Checksum 2025-12-04T08:59:39.0921098Z 18c26a6319e6: Download complete 2025-12-04T08:59:39.2146108Z 2d946ce8ca53: Pull complete 2025-12-04T08:59:46.3430336Z 5708d2297288: Verifying Checksum 2025-12-04T08:59:46.3430708Z 5708d2297288: Download complete 2025-12-04T08:59:46.4235865Z 6898ee06fc65: Verifying Checksum 2025-12-04T08:59:46.4236195Z 6898ee06fc65: Download complete 2025-12-04T08:59:46.5029565Z e32bbc368797: Verifying Checksum 2025-12-04T08:59:46.5029870Z e32bbc368797: Download complete 2025-12-04T08:59:46.5798710Z b927f3671e17: Verifying Checksum 2025-12-04T08:59:46.5799033Z b927f3671e17: Download complete 2025-12-04T08:59:46.6535613Z 2aeb8f1589af: Verifying Checksum 2025-12-04T08:59:46.6535927Z 2aeb8f1589af: Download complete 2025-12-04T08:59:46.7181862Z 6606409b8ad2: Verifying Checksum 2025-12-04T08:59:46.7182089Z 6606409b8ad2: Download complete 2025-12-04T08:59:46.7867540Z b97abd0f1695: Download complete 2025-12-04T08:59:48.4117854Z 49bf8319006f: Verifying Checksum 2025-12-04T08:59:54.8556386Z 6548d975cc59: Pull complete 2025-12-04T08:59:55.0879228Z 492f87f37d9d: Pull complete 2025-12-04T08:59:55.2874708Z 05b5a39e071b: Pull complete 2025-12-04T08:59:55.3764352Z 44675e9e0694: Pull complete 2025-12-04T08:59:55.4354363Z 5166b424039b: Pull complete 2025-12-04T08:59:55.4633394Z ba344c98c7b7: Pull complete 2025-12-04T08:59:55.4924615Z d243d1d655c4: Pull complete 2025-12-04T08:59:55.5219619Z fc1412fe4000: Pull complete 2025-12-04T08:59:55.5472272Z 1613f58ea7b8: Pull complete 2025-12-04T09:00:17.5009252Z a0df15214ccb: Verifying Checksum 2025-12-04T09:00:17.5009559Z a0df15214ccb: Download complete 2025-12-04T09:00:24.3217568Z 8e41baaca772: Verifying Checksum 2025-12-04T09:00:24.3218876Z 8e41baaca772: Download complete 2025-12-04T09:01:46.8935123Z a0df15214ccb: Pull complete 2025-12-04T09:01:47.1053369Z 4f4fb700ef54: Pull complete 2025-12-04T09:01:47.2823969Z d70aac5b2b73: Pull complete 2025-12-04T09:01:47.3556015Z f4bd3da37de0: Pull complete 2025-12-04T09:01:47.4299715Z cdcd625bc053: Pull complete 2025-12-04T09:01:47.6028509Z 679baf579537: Pull complete 2025-12-04T09:01:47.6298843Z daabdea6aed2: Pull complete 2025-12-04T09:01:47.6614958Z 2826ba398aec: Pull complete 2025-12-04T09:01:47.6896088Z fc1182fb888d: Pull complete 2025-12-04T09:01:47.7190901Z fa493b1c60dd: Pull complete 2025-12-04T09:01:47.7999140Z 7b1825828668: Pull complete 2025-12-04T09:01:47.8873959Z 88380ae75e9c: Pull complete 2025-12-04T09:01:48.0812397Z 21639d12df82: Pull complete 2025-12-04T09:01:48.1731987Z 984876785a33: Pull complete 2025-12-04T09:01:59.9403400Z 0b15eef48554: Pull complete 2025-12-04T09:02:00.1403027Z b4711f05b238: Pull complete 2025-12-04T09:02:00.2099675Z c7fbad75ca53: Pull complete 2025-12-04T09:02:00.2812312Z 925276857e1a: Pull complete 2025-12-04T09:02:00.3108300Z f1ac3ccec935: Pull complete 2025-12-04T09:02:00.7381431Z 6b1e9840e960: Pull complete 2025-12-04T09:02:00.7678382Z a50fc443aad0: Pull complete 2025-12-04T09:02:00.8120410Z 0cf2ba6ce184: Pull complete 2025-12-04T09:02:01.0234154Z c4660131b771: Pull complete 2025-12-04T09:02:01.1991151Z 9c0438f10366: Pull complete 2025-12-04T09:02:01.3175173Z 79873f58fbe6: Pull complete 2025-12-04T09:02:01.6608062Z 3049aaa95eda: Pull complete 2025-12-04T09:02:01.7320149Z af6f3f404538: Pull complete 2025-12-04T09:02:01.8124112Z 6484e5eb342a: Pull complete 2025-12-04T09:02:10.1079663Z eee399dc660c: Pull complete 2025-12-04T09:03:45.4356290Z 8e41baaca772: Pull complete 2025-12-04T09:03:45.6868779Z 3b8742165107: Pull complete 2025-12-04T09:03:45.7632398Z 360de8b979d6: Pull complete 2025-12-04T09:03:45.9189882Z 031d4c3953f6: Pull complete 2025-12-04T09:03:45.9985604Z 0d0b25a8472d: Pull complete 2025-12-04T09:03:46.1205462Z a1f2f33f45ee: Pull complete 2025-12-04T09:03:46.1745747Z 1bb10e58ca5e: Pull complete 2025-12-04T09:03:46.3004953Z 4b53fad1a16d: Pull complete 2025-12-04T09:03:46.5079864Z d9e0d81b014e: Pull complete 2025-12-04T09:03:47.0594288Z 0ede2148453d: Pull complete 2025-12-04T09:03:47.4328504Z 6dcb75885cbd: Pull complete 2025-12-04T09:03:47.4990938Z 5c55ae2ee099: Pull complete 2025-12-04T09:03:47.5826648Z ec00b30b4877: Pull complete 2025-12-04T09:03:47.6136970Z 5b496b0cc745: Pull complete 2025-12-04T09:03:47.6752485Z f22b7cbfd5ae: Pull complete 2025-12-04T09:03:47.7975730Z d480b995e863: Pull complete 2025-12-04T09:03:47.8873376Z f49bc3afd6e1: Pull complete 2025-12-04T09:03:47.9161999Z 18c26a6319e6: Pull complete 2025-12-04T09:03:54.7588197Z 5708d2297288: Pull complete 2025-12-04T09:03:54.9220401Z 6898ee06fc65: Pull complete 2025-12-04T09:03:54.9686670Z e32bbc368797: Pull complete 2025-12-04T09:03:55.0035710Z b927f3671e17: Pull complete 2025-12-04T09:03:55.1179921Z 2aeb8f1589af: Pull complete 2025-12-04T09:03:55.2551639Z 6606409b8ad2: Pull complete 2025-12-04T09:03:55.4315465Z b97abd0f1695: Pull complete 2025-12-04T09:03:56.9053316Z 49bf8319006f: Pull complete 2025-12-04T09:03:56.9782754Z Digest: sha256:9ade766124307754b881fa0b1950367641e802c07da5be0fa3826124f1bf7814 2025-12-04T09:03:56.9843326Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.11-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:03:56.9887785Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.11-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:03:56.9925754Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:03:56.9926365Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:03:56.9933205Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:03:56.9933451Z env: 2025-12-04T09:03:56.9933638Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:03:56.9933839Z ##[endgroup] 2025-12-04T09:03:57.0179134Z ##[group]Run pytorch/test-infra/.github/actions/setup-nvidia@main 2025-12-04T09:03:57.0179430Z with: 2025-12-04T09:03:57.0179610Z driver-version: 580.82.07 2025-12-04T09:03:57.0179793Z env: 2025-12-04T09:03:57.0180152Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:03:57.0180398Z ##[endgroup] 2025-12-04T09:03:57.0230055Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:03:57.0230583Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:03:57.0235480Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:03:57.0235885Z env: 2025-12-04T09:03:57.0236057Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:03:57.0236242Z ##[endgroup] 2025-12-04T09:03:57.0287041Z ##[group]Run set -euo pipefail 2025-12-04T09:03:57.0287433Z set -euo pipefail 2025-12-04T09:03:57.0287811Z  2025-12-04T09:03:57.0288065Z has_gpu=false 2025-12-04T09:03:57.0288350Z devices="" 2025-12-04T09:03:57.0288612Z  2025-12-04T09:03:57.0288911Z if command -v nvidia-smi >/dev/null 2>&1; then 2025-12-04T09:03:57.0289432Z  if nvidia-smi -L >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T09:03:57.0289873Z  has_gpu=true 2025-12-04T09:03:57.0290202Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T09:03:57.0290535Z  fi 2025-12-04T09:03:57.0290791Z fi 2025-12-04T09:03:57.0291032Z  2025-12-04T09:03:57.0291264Z if [ "$has_gpu" = false ]; then 2025-12-04T09:03:57.0291705Z  if ls /dev/nvidia* >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T09:03:57.0292144Z  has_gpu=true 2025-12-04T09:03:57.0292478Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T09:03:57.0292806Z  fi 2025-12-04T09:03:57.0293055Z fi 2025-12-04T09:03:57.0293286Z  2025-12-04T09:03:57.0293594Z if [ "$has_gpu" = false ] && command -v lspci >/dev/null 2>&1; then 2025-12-04T09:03:57.0294090Z  if lspci | grep -i 'nvidia' >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T09:03:57.0294490Z  has_gpu=true 2025-12-04T09:03:57.0294784Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T09:03:57.0295109Z  fi 2025-12-04T09:03:57.0295334Z fi 2025-12-04T09:03:57.0295533Z  2025-12-04T09:03:57.0295858Z printf 'HAS_NVIDIA=%s\n' "$has_gpu" >> "$GITHUB_OUTPUT" 2025-12-04T09:03:57.0296388Z printf 'DETECTED_DEVICES<> "$GITHUB_OUTPUT" 2025-12-04T09:03:57.0303850Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:03:57.0304236Z env: 2025-12-04T09:03:57.0304487Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:03:57.0304778Z ##[endgroup] 2025-12-04T09:03:57.0739497Z ##[group]Run if [ "${HAS_NVIDIA}" = "true" ]; then 2025-12-04T09:03:57.0739822Z if [ "${HAS_NVIDIA}" = "true" ]; then 2025-12-04T09:03:57.0740254Z  echo "HAS_NVIDIA_GPU=true" >> "${GITHUB_ENV}" 2025-12-04T09:03:57.0740632Z  echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}" 2025-12-04T09:03:57.0740971Z else 2025-12-04T09:03:57.0741209Z  echo "HAS_NVIDIA_GPU=false" >> "${GITHUB_ENV}" 2025-12-04T09:03:57.0741453Z fi 2025-12-04T09:03:57.0745927Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:03:57.0746175Z env: 2025-12-04T09:03:57.0746354Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:03:57.0746536Z HAS_NVIDIA: false 2025-12-04T09:03:57.0746739Z ##[endgroup] 2025-12-04T09:03:57.0814865Z Prepare all required actions 2025-12-04T09:03:57.0840509Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-12-04T09:03:57.0840757Z with: 2025-12-04T09:03:57.0841407Z github-token: *** 2025-12-04T09:03:57.0841590Z env: 2025-12-04T09:03:57.0841752Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:03:57.0841955Z HAS_NVIDIA_GPU: false 2025-12-04T09:03:57.0842143Z ##[endgroup] 2025-12-04T09:03:57.0862938Z ##[group]Run set -eux 2025-12-04T09:03:57.0863172Z set -eux 2025-12-04T09:03:57.0863540Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-12-04T09:03:57.0868481Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:03:57.0868721Z env: 2025-12-04T09:03:57.0868901Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:03:57.0869105Z HAS_NVIDIA_GPU: false 2025-12-04T09:03:57.0869461Z GITHUB_TOKEN: *** 2025-12-04T09:03:57.0869627Z ##[endgroup] 2025-12-04T09:03:57.0887910Z + python3 .github/scripts/get_workflow_job_id.py 19922796517 i-015b10e12ba3bb968 2025-12-04T09:03:58.0966423Z Setting output job-id=57116440080 2025-12-04T09:03:58.0966833Z Setting output job-name=dynamo-test (3.11) / test (dynamo_wrapped, 1, 3, linux.c7i.2xlarge) 2025-12-04T09:03:58.1070985Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-12-04T09:03:58.1071411Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-12-04T09:03:58.1071947Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-12-04T09:03:58.1072417Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:03:58.1078289Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:03:58.1078514Z env: 2025-12-04T09:03:58.1078675Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:03:58.1078850Z HAS_NVIDIA_GPU: false 2025-12-04T09:03:58.1079009Z JOB_ID: 57116440080 2025-12-04T09:03:58.1079267Z JOB_NAME: dynamo-test (3.11) / test (dynamo_wrapped, 1, 3, linux.c7i.2xlarge) 2025-12-04T09:03:58.1079539Z WORKFLOW_NAME: dynamo-unittest 2025-12-04T09:03:58.1079759Z WORKFLOW_RUN_ID: 19922796517 2025-12-04T09:03:58.1079928Z MONITOR_LOG_INTERVAL: 5 2025-12-04T09:03:58.1080106Z MONITOR_DATA_COLLECT_INTERVAL: 1 2025-12-04T09:03:58.1080289Z ##[endgroup] 2025-12-04T09:04:00.2542319Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T09:04:00.6819562Z Collecting psutil==5.9.8 2025-12-04T09:04:00.6971265Z 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) 2025-12-04T09:04:00.7766244Z Collecting dataclasses_json==0.6.7 2025-12-04T09:04:00.7805569Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-12-04T09:04:00.8118706Z Collecting nvidia-ml-py==11.525.84 2025-12-04T09:04:00.8153539Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-12-04T09:04:00.9175127Z Collecting marshmallow<4.0.0,>=3.18.0 2025-12-04T09:04:00.9207830Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-12-04T09:04:00.9826225Z Collecting typing-inspect<1,>=0.4.0 2025-12-04T09:04:00.9861720Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-12-04T09:04:01.0969117Z Collecting packaging>=17.0 2025-12-04T09:04:01.1007038Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-12-04T09:04:01.2289469Z Collecting mypy-extensions>=0.3.0 2025-12-04T09:04:01.2326285Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-12-04T09:04:01.3643699Z Collecting typing-extensions>=3.7.4 2025-12-04T09:04:01.3679538Z Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB) 2025-12-04T09:04:01.6046448Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json 2025-12-04T09:04:02.3626475Z 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 2025-12-04T09:04:02.5521103Z Prepare all required actions 2025-12-04T09:04:02.5521405Z Getting action download info 2025-12-04T09:04:02.7284018Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-12-04T09:04:03.1728968Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-12-04T09:04:07.7722104Z ##[group]Run ./.github/actions/download-build-artifacts 2025-12-04T09:04:07.7722361Z with: 2025-12-04T09:04:07.7722531Z name: linux-jammy-py3.11-clang12 2025-12-04T09:04:07.7722730Z s3-bucket: gha-artifacts 2025-12-04T09:04:07.7722909Z env: 2025-12-04T09:04:07.7723057Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:04:07.7723225Z HAS_NVIDIA_GPU: false 2025-12-04T09:04:07.7723379Z ##[endgroup] 2025-12-04T09:04:07.7784221Z ##[group]Run seemethere/download-artifact-s3@v4 2025-12-04T09:04:07.7784590Z with: 2025-12-04T09:04:07.7784754Z name: linux-jammy-py3.11-clang12 2025-12-04T09:04:07.7784988Z s3-bucket: gha-artifacts 2025-12-04T09:04:07.7785179Z region: us-east-1 2025-12-04T09:04:07.7785324Z env: 2025-12-04T09:04:07.7785464Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:04:07.7785635Z HAS_NVIDIA_GPU: false 2025-12-04T09:04:07.7785788Z ##[endgroup] 2025-12-04T09:04:08.4537334Z (node:43897) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-12-04T09:04:08.4537659Z 2025-12-04T09:04:08.4537790Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-12-04T09:04:08.4538130Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-12-04T09:04:08.4538481Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-12-04T09:04:09.7151258Z Found 1 objects with prefix pytorch/pytorch/19922796517/linux-jammy-py3.11-clang12/ 2025-12-04T09:04:09.7151898Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-12-04T09:04:17.6415900Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-12-04T09:04:17.6420631Z Artifact download has finished successfully 2025-12-04T09:04:17.6561596Z ##[group]Run unzip -o artifacts.zip 2025-12-04T09:04:17.6561816Z unzip -o artifacts.zip 2025-12-04T09:04:17.6566834Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:04:17.6567059Z env: 2025-12-04T09:04:17.6567216Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:04:17.6567389Z HAS_NVIDIA_GPU: false 2025-12-04T09:04:17.6567544Z ##[endgroup] 2025-12-04T09:04:17.6626710Z Archive: artifacts.zip 2025-12-04T09:04:17.6626978Z creating: dist/ 2025-12-04T09:04:18.6817147Z inflating: dist/torch-2.10.0a0+gitffd9b0f-cp311-cp311-linux_x86_64.whl 2025-12-04T09:04:18.6923710Z inflating: dist/.ninja_log 2025-12-04T09:04:18.6924150Z creating: build/custom_test_artifacts/ 2025-12-04T09:04:18.6924489Z creating: build/custom_test_artifacts/custom-op-build/ 2025-12-04T09:04:18.6924906Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/ 2025-12-04T09:04:18.6925266Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/pkgRedirects/ 2025-12-04T09:04:18.6925714Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/CMakeConfigureLog.yaml 2025-12-04T09:04:18.6926146Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/ 2025-12-04T09:04:18.6926839Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CMakeSystem.cmake 2025-12-04T09:04:18.6927399Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdC/ 2025-12-04T09:04:18.6927801Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdC/tmp/ 2025-12-04T09:04:18.6931371Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdC/CMakeCCompilerId.c 2025-12-04T09:04:18.6931942Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdC/a.out 2025-12-04T09:04:18.6932794Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CMakeCCompiler.cmake 2025-12-04T09:04:18.6933316Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdCXX/ 2025-12-04T09:04:18.6933738Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdCXX/tmp/ 2025-12-04T09:04:18.6934358Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdCXX/CMakeCXXCompilerId.cpp 2025-12-04T09:04:18.6935029Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdCXX/a.out 2025-12-04T09:04:18.6935480Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CMakeCXXCompiler.cmake 2025-12-04T09:04:18.6936111Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CMakeDetermineCompilerABI_C.bin 2025-12-04T09:04:18.6937119Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CMakeDetermineCompilerABI_CXX.bin 2025-12-04T09:04:18.6937768Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/CMakeScratch/ 2025-12-04T09:04:18.6938312Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/cmake.check_cache 2025-12-04T09:04:18.6938853Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/ 2025-12-04T09:04:18.6939483Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/compiler_depend.ts 2025-12-04T09:04:18.6940243Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/compiler_depend.make 2025-12-04T09:04:18.6941029Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/depend.make 2025-12-04T09:04:18.6941668Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/link.txt 2025-12-04T09:04:18.6942134Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/cmake_clean.cmake 2025-12-04T09:04:18.6942586Z inflating: 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inflating: build/bin/c10_string_view_test 2025-12-04T09:04:23.4580936Z inflating: build/bin/c10_intrusive_ptr_benchmark 2025-12-04T09:04:23.4626910Z inflating: build/bin/c10_tempfile_test 2025-12-04T09:04:23.4673426Z inflating: build/bin/c10_typeid_test 2025-12-04T09:04:23.5196062Z inflating: build/bin/vec_test_all_types_DEFAULT 2025-12-04T09:04:23.5736656Z inflating: build/bin/vec_test_all_types_AVX512 2025-12-04T09:04:23.6286224Z inflating: build/bin/vec_test_all_types_AVX2 2025-12-04T09:04:23.6331081Z inflating: build/bin/test_vec_half_DEFAULT 2025-12-04T09:04:23.6403545Z inflating: build/bin/test_aoti_abi_check 2025-12-04T09:04:23.6449289Z inflating: build/bin/test_vec_half_AVX512 2025-12-04T09:04:23.6492948Z inflating: build/bin/test_vec_half_AVX2 2025-12-04T09:04:23.6538660Z inflating: build/bin/BackoffTest 2025-12-04T09:04:23.6585624Z inflating: build/bin/FileStoreTest 2025-12-04T09:04:23.6634544Z inflating: build/bin/TCPStoreTest 2025-12-04T09:04:23.6680061Z inflating: build/bin/HashStoreTest 2025-12-04T09:04:23.6738806Z inflating: build/bin/ProcessGroupGlooTest 2025-12-04T09:04:23.6783554Z inflating: build/bin/static_runtime_bench 2025-12-04T09:04:23.7008397Z inflating: build/bin/static_runtime_test 2025-12-04T09:04:23.7071232Z inflating: build/bin/Dict_test 2025-12-04T09:04:23.7115676Z inflating: build/bin/Dimname_test 2025-12-04T09:04:23.7172942Z inflating: build/bin/MaybeOwned_test 2025-12-04T09:04:23.7221315Z inflating: build/bin/NamedTensor_test 2025-12-04T09:04:23.7270763Z inflating: build/bin/apply_utils_test 2025-12-04T09:04:23.7322988Z inflating: build/bin/atest 2025-12-04T09:04:23.7377783Z inflating: build/bin/basic 2025-12-04T09:04:23.7426523Z inflating: build/bin/broadcast_test 2025-12-04T09:04:23.7471079Z inflating: build/bin/cpu_allocator_test 2025-12-04T09:04:23.7520469Z inflating: build/bin/cpu_generator_test 2025-12-04T09:04:23.7567077Z inflating: build/bin/cpu_profiling_allocator_test 2025-12-04T09:04:23.7645554Z inflating: build/bin/cpu_rng_test 2025-12-04T09:04:23.7690901Z inflating: build/bin/dlconvertor_test 2025-12-04T09:04:23.7743548Z inflating: build/bin/extension_backend_test 2025-12-04T09:04:23.7789226Z inflating: build/bin/half_test 2025-12-04T09:04:23.7872690Z inflating: build/bin/ivalue_test 2025-12-04T09:04:23.7917994Z inflating: build/bin/lazy_tensor_test 2025-12-04T09:04:23.7964159Z inflating: build/bin/math_kernel_test 2025-12-04T09:04:23.8009846Z inflating: build/bin/memory_format_test 2025-12-04T09:04:23.8058010Z inflating: build/bin/memory_overlapping_test 2025-12-04T09:04:23.8106228Z inflating: build/bin/mobile_memory_cleanup 2025-12-04T09:04:23.8153612Z inflating: build/bin/native_test 2025-12-04T09:04:23.8197446Z inflating: build/bin/operator_name_test 2025-12-04T09:04:23.8242278Z inflating: build/bin/operators_test 2025-12-04T09:04:23.8288846Z inflating: build/bin/packedtensoraccessor_test 2025-12-04T09:04:23.8348174Z inflating: build/bin/pow_test 2025-12-04T09:04:23.8396967Z inflating: build/bin/quantized_test 2025-12-04T09:04:23.8440854Z inflating: build/bin/reduce_ops_test 2025-12-04T09:04:23.8485746Z inflating: build/bin/reportMemoryUsage_test 2025-12-04T09:04:23.8534942Z inflating: build/bin/scalar_tensor_test 2025-12-04T09:04:23.8585162Z inflating: build/bin/scalar_test 2025-12-04T09:04:23.8631107Z inflating: build/bin/StorageUtils_test 2025-12-04T09:04:23.8677098Z inflating: build/bin/stride_properties_test 2025-12-04T09:04:23.8746808Z inflating: build/bin/tensor_iterator_test 2025-12-04T09:04:23.8794578Z inflating: build/bin/test_parallel 2025-12-04T09:04:23.8838838Z inflating: build/bin/thread_init_test 2025-12-04T09:04:23.8885069Z inflating: build/bin/type_ptr_test 2025-12-04T09:04:23.8939317Z inflating: build/bin/type_test 2025-12-04T09:04:23.8984176Z inflating: build/bin/undefined_tensor_test 2025-12-04T09:04:23.9028741Z inflating: build/bin/verify_api_visibility 2025-12-04T09:04:23.9087595Z inflating: build/bin/legacy_vmap_test 2025-12-04T09:04:23.9132223Z inflating: build/bin/wrapdim_test 2025-12-04T09:04:23.9177240Z inflating: build/bin/weakref_test 2025-12-04T09:04:23.9225242Z inflating: build/bin/xla_tensor_test 2025-12-04T09:04:23.9275692Z inflating: build/bin/IListRef_test 2025-12-04T09:04:23.9360891Z inflating: build/bin/List_test 2025-12-04T09:04:23.9417364Z inflating: build/bin/KernelFunction_test 2025-12-04T09:04:23.9527626Z inflating: build/bin/kernel_function_legacy_test 2025-12-04T09:04:23.9610612Z inflating: build/bin/kernel_function_test 2025-12-04T09:04:23.9722238Z inflating: build/bin/kernel_lambda_legacy_test 2025-12-04T09:04:23.9810432Z inflating: build/bin/kernel_lambda_test 2025-12-04T09:04:23.9864169Z inflating: build/bin/kernel_stackbased_test 2025-12-04T09:04:23.9947125Z inflating: build/bin/make_boxed_from_unboxed_functor_test 2025-12-04T09:04:23.9991681Z inflating: build/bin/CppSignature_test 2025-12-04T09:04:24.0039174Z inflating: build/bin/backend_fallback_test 2025-12-04T09:04:24.0081933Z inflating: build/bin/op_allowlist_test 2025-12-04T09:04:24.0340906Z inflating: build/bin/op_registration_test 2025-12-04T09:04:24.0397816Z inflating: build/bin/inline_container_test 2025-12-04T09:04:24.0668329Z inflating: build/bin/test_lazy 2025-12-04T09:04:24.0669159Z inflating: build/bin/example_allreduce 2025-12-04T09:04:24.0718283Z inflating: build/bin/test_dist_autograd 2025-12-04T09:04:24.0776830Z inflating: build/bin/test_cpp_rpc 2025-12-04T09:04:24.1709155Z inflating: build/bin/test_jit 2025-12-04T09:04:24.2951026Z inflating: build/bin/test_api 2025-12-04T09:04:24.2954084Z inflating: build/bin/parallel_benchmark 2025-12-04T09:04:24.2957219Z inflating: build/bin/torch_shm_manager 2025-12-04T09:04:24.2957489Z creating: .additional_ci_files/ 2025-12-04T09:04:24.3012218Z inflating: .additional_ci_files/test-times.json 2025-12-04T09:04:24.3219472Z inflating: .additional_ci_files/test-class-times.json 2025-12-04T09:04:24.3252323Z ##[group]Run rm artifacts.zip 2025-12-04T09:04:24.3252531Z rm artifacts.zip 2025-12-04T09:04:24.3257945Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:04:24.3258182Z env: 2025-12-04T09:04:24.3258334Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:04:24.3258499Z HAS_NVIDIA_GPU: false 2025-12-04T09:04:24.3258669Z ##[endgroup] 2025-12-04T09:04:24.3476142Z ##[group]Run df -H 2025-12-04T09:04:24.3476324Z df -H 2025-12-04T09:04:24.3480566Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:04:24.3480792Z env: 2025-12-04T09:04:24.3480938Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:04:24.3481121Z HAS_NVIDIA_GPU: false 2025-12-04T09:04:24.3481288Z ##[endgroup] 2025-12-04T09:04:24.3528552Z Filesystem Size Used Avail Use% Mounted on 2025-12-04T09:04:24.3528808Z devtmpfs 4.2M 0 4.2M 0% /dev 2025-12-04T09:04:24.3529100Z tmpfs 8.3G 0 8.3G 0% /dev/shm 2025-12-04T09:04:24.3529340Z tmpfs 3.3G 676k 3.3G 1% /run 2025-12-04T09:04:24.3529855Z /dev/nvme0n1p1 161G 38G 124G 24% / 2025-12-04T09:04:24.3530184Z tmpfs 8.3G 13k 8.3G 1% /tmp 2025-12-04T09:04:24.3530472Z /dev/nvme0n1p128 11M 1.4M 9.2M 13% /boot/efi 2025-12-04T09:04:24.3556818Z Prepare all required actions 2025-12-04T09:04:24.3557814Z Getting action download info 2025-12-04T09:04:24.5790284Z ##[group]Run ./.github/actions/download-td-artifacts 2025-12-04T09:04:24.5790656Z with: 2025-12-04T09:04:24.5790877Z env: 2025-12-04T09:04:24.5791086Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:04:24.5791358Z HAS_NVIDIA_GPU: false 2025-12-04T09:04:24.5791629Z ##[endgroup] 2025-12-04T09:04:24.5821926Z ##[group]Run seemethere/download-artifact-s3@v4 2025-12-04T09:04:24.5822280Z with: 2025-12-04T09:04:24.5822524Z name: td_results 2025-12-04T09:04:24.5822823Z s3-bucket: gha-artifacts 2025-12-04T09:04:24.5823153Z region: us-east-1 2025-12-04T09:04:24.5823435Z env: 2025-12-04T09:04:24.5823706Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:04:24.5824083Z HAS_NVIDIA_GPU: false 2025-12-04T09:04:24.5824371Z ##[endgroup] 2025-12-04T09:04:24.9425699Z (node:43920) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-12-04T09:04:24.9426242Z 2025-12-04T09:04:24.9426395Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-12-04T09:04:24.9426781Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-12-04T09:04:24.9427109Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-12-04T09:04:25.0298218Z Found 0 objects with prefix pytorch/pytorch/19922796517/td_results/ 2025-12-04T09:04:25.0303429Z Artifact download has finished successfully 2025-12-04T09:04:25.0437721Z ##[group]Run mkdir -p .additional_ci_files 2025-12-04T09:04:25.0437969Z mkdir -p .additional_ci_files 2025-12-04T09:04:25.0438234Z mv td_results.json .additional_ci_files/td_results.json || true 2025-12-04T09:04:25.0443561Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:04:25.0443907Z env: 2025-12-04T09:04:25.0444059Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:04:25.0444231Z HAS_NVIDIA_GPU: false 2025-12-04T09:04:25.0444388Z ##[endgroup] 2025-12-04T09:04:25.0508828Z mv: cannot stat 'td_results.json': No such file or directory 2025-12-04T09:04:25.0538939Z ##[group]Run .github/scripts/parse_ref.py 2025-12-04T09:04:25.0539185Z .github/scripts/parse_ref.py 2025-12-04T09:04:25.0543162Z shell: /usr/bin/bash -e {0} 2025-12-04T09:04:25.0543345Z env: 2025-12-04T09:04:25.0543489Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:04:25.0543668Z HAS_NVIDIA_GPU: false 2025-12-04T09:04:25.0543834Z ##[endgroup] 2025-12-04T09:04:25.0713418Z Setting output branch=main 2025-12-04T09:04:25.0805462Z Prepare all required actions 2025-12-04T09:04:25.0805740Z Getting action download info 2025-12-04T09:04:25.2197023Z ##[group]Run ./.github/actions/filter-test-configs 2025-12-04T09:04:25.2197242Z with: 2025-12-04T09:04:25.2197696Z github-token: *** 2025-12-04T09:04:25.2198382Z 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" }, ]} 2025-12-04T09:04:25.2199213Z job-name: dynamo-test (3.11) / test (dynamo_wrapped, 1, 3, linux.c7i.2xlarge) 2025-12-04T09:04:25.2199499Z env: 2025-12-04T09:04:25.2199658Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:04:25.2199860Z HAS_NVIDIA_GPU: false 2025-12-04T09:04:25.2200042Z ##[endgroup] 2025-12-04T09:04:25.2223600Z ##[group]Run nick-fields/retry@v3.0.0 2025-12-04T09:04:25.2223796Z with: 2025-12-04T09:04:25.2223942Z shell: bash 2025-12-04T09:04:25.2224090Z timeout_minutes: 10 2025-12-04T09:04:25.2224240Z max_attempts: 5 2025-12-04T09:04:25.2224396Z retry_wait_seconds: 30 2025-12-04T09:04:25.2224854Z 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 2025-12-04T09:04:25.2225294Z polling_interval_seconds: 1 2025-12-04T09:04:25.2225474Z warning_on_retry: true 2025-12-04T09:04:25.2225638Z continue_on_error: false 2025-12-04T09:04:25.2225804Z env: 2025-12-04T09:04:25.2225940Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:04:25.2226109Z HAS_NVIDIA_GPU: false 2025-12-04T09:04:25.2226404Z GITHUB_TOKEN: *** 2025-12-04T09:04:25.2226547Z ##[endgroup] 2025-12-04T09:04:25.3058480Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-12-04T09:04:25.4742073Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T09:04:25.5518722Z Collecting requests==2.27.1 2025-12-04T09:04:25.5664405Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-12-04T09:04:25.6841024Z Collecting pyyaml==6.0.2 2025-12-04T09:04:25.6874693Z Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB) 2025-12-04T09:04:25.9514164Z Collecting charset-normalizer~=2.0.0 2025-12-04T09:04:25.9546463Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-12-04T09:04:25.9895731Z Collecting certifi>=2017.4.17 2025-12-04T09:04:25.9929966Z Downloading certifi-2025.11.12-py3-none-any.whl (159 kB) 2025-12-04T09:04:25.9975826Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10) 2025-12-04T09:04:25.9976567Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10) 2025-12-04T09:04:26.0534080Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml 2025-12-04T09:04:26.1394458Z Successfully installed certifi-2025.11.12 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-12-04T09:04:26.2852558Z Command completed after 1 attempt(s). 2025-12-04T09:04:26.2891727Z ##[group]Run set -x 2025-12-04T09:04:26.2891919Z set -x 2025-12-04T09:04:26.2892070Z  2025-12-04T09:04:26.2892305Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-12-04T09:04:26.2892589Z # in runner workspace 2025-12-04T09:04:26.2892832Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-12-04T09:04:26.2897281Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:04:26.2897505Z env: 2025-12-04T09:04:26.2897657Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:04:26.2897836Z HAS_NVIDIA_GPU: false 2025-12-04T09:04:26.2897992Z ##[endgroup] 2025-12-04T09:04:26.2921399Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-12-04T09:04:26.3066239Z Setting output branch=main 2025-12-04T09:04:26.3113526Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-12-04T09:04:26.3113932Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-12-04T09:04:26.3114278Z echo "Job name: ${JOB_NAME}" 2025-12-04T09:04:26.3114552Z  2025-12-04T09:04:26.3114926Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-12-04T09:04:26.3115362Z # in runner workspace 2025-12-04T09:04:26.3115774Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-12-04T09:04:26.3116243Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-12-04T09:04:26.3116559Z  --job-name "${JOB_NAME}" \ 2025-12-04T09:04:26.3116850Z  --test-matrix "{ include: [ 2025-12-04T09:04:26.3117294Z  { config: "dynamo_core", shard: 1, num_shards: 1, runner: "linux.c7i.2xlarge" }, 2025-12-04T09:04:26.3117929Z  { config: "dynamo_wrapped", shard: 1, num_shards: 3, runner: "linux.c7i.2xlarge" }, 2025-12-04T09:04:26.3118496Z  { config: "dynamo_wrapped", shard: 2, num_shards: 3, runner: "linux.c7i.2xlarge" }, 2025-12-04T09:04:26.3119051Z  { config: "dynamo_wrapped", shard: 3, num_shards: 3, runner: "linux.c7i.2xlarge" }, 2025-12-04T09:04:26.3119468Z ]} 2025-12-04T09:04:26.3119663Z " \ 2025-12-04T09:04:26.3119884Z  --selected-test-configs "" \ 2025-12-04T09:04:26.3120192Z  --pr-number "${PR_NUMBER}" \ 2025-12-04T09:04:26.3120468Z  --tag "${TAG}" \ 2025-12-04T09:04:26.3120738Z  --event-name "${EVENT_NAME}" \ 2025-12-04T09:04:26.3121059Z  --schedule "${SCHEDULE}" \ 2025-12-04T09:04:26.3121365Z  --branch "${HEAD_BRANCH}" 2025-12-04T09:04:26.3127674Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:04:26.3128033Z env: 2025-12-04T09:04:26.3128275Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:04:26.3128529Z HAS_NVIDIA_GPU: false 2025-12-04T09:04:26.3129065Z GITHUB_TOKEN: *** 2025-12-04T09:04:26.3129427Z JOB_NAME: dynamo-test (3.11) / test (dynamo_wrapped, 1, 3, linux.c7i.2xlarge) 2025-12-04T09:04:26.3129837Z PR_NUMBER: 2025-12-04T09:04:26.3130050Z TAG: 2025-12-04T09:04:26.3130248Z EVENT_NAME: schedule 2025-12-04T09:04:26.3130489Z SCHEDULE: 29 8 * * * 2025-12-04T09:04:26.3130736Z HEAD_BRANCH: main 2025-12-04T09:04:26.3130958Z ##[endgroup] 2025-12-04T09:04:26.3154781Z Workflow: dynamo-unittest 2025-12-04T09:04:26.3155278Z Job name: dynamo-test (3.11) / test (dynamo_wrapped, 1, 3, linux.c7i.2xlarge) 2025-12-04T09:04:26.5836684Z Setting output keep-going=True 2025-12-04T09:04:26.5837118Z Setting output ci-verbose-test-logs=False 2025-12-04T09:04:26.5839750Z Setting output ci-test-showlocals=False 2025-12-04T09:04:26.5840032Z Setting output ci-no-test-timeout=False 2025-12-04T09:04:26.5840241Z Setting output ci-no-td=False 2025-12-04T09:04:26.5840472Z Setting output ci-td-distributed=False 2025-12-04T09:04:26.5840680Z Setting output is-unstable=False 2025-12-04T09:04:26.5840871Z Setting output reenabled-issues= 2025-12-04T09:04:26.5841936Z 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"}]} 2025-12-04T09:04:26.5843326Z Setting output is-test-matrix-empty=False 2025-12-04T09:04:26.5959522Z ##[group]Run echo "Filtered matrix:" 2025-12-04T09:04:26.5959848Z echo "Filtered matrix:" 2025-12-04T09:04:26.5962058Z 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"}]}" 2025-12-04T09:04:26.5963890Z  2025-12-04T09:04:26.5964098Z echo 2025-12-04T09:04:26.5964376Z echo "Is the current job unstable? False" 2025-12-04T09:04:26.5964707Z  2025-12-04T09:04:26.5964908Z echo 2025-12-04T09:04:26.5965162Z echo "Is keep-going label set? True" 2025-12-04T09:04:26.5965467Z  2025-12-04T09:04:26.5965664Z echo 2025-12-04T09:04:26.5965905Z echo "Reenabled issues? " 2025-12-04T09:04:26.5972320Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:04:26.5972692Z env: 2025-12-04T09:04:26.5972923Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:04:26.5973194Z HAS_NVIDIA_GPU: false 2025-12-04T09:04:26.5973453Z ##[endgroup] 2025-12-04T09:04:26.5997898Z Filtered matrix: 2025-12-04T09:04:26.5999015Z {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}]} 2025-12-04T09:04:26.5999974Z 2025-12-04T09:04:26.6000055Z Is the current job unstable? False 2025-12-04T09:04:26.6000186Z 2025-12-04T09:04:26.6000277Z Is keep-going label set? True 2025-12-04T09:04:26.6000393Z 2025-12-04T09:04:26.6000466Z Reenabled issues? 2025-12-04T09:04:26.6022985Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-12-04T09:04:26.6023367Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-12-04T09:04:26.6027327Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:04:26.6027550Z env: 2025-12-04T09:04:26.6027705Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:04:26.6027879Z HAS_NVIDIA_GPU: false 2025-12-04T09:04:26.6028035Z JOB_TIMEOUT: 240 2025-12-04T09:04:26.6028187Z ##[endgroup] 2025-12-04T09:04:26.6066166Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:04:26.6066543Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:04:26.6066816Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:04:26.6070194Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:04:26.6070417Z env: 2025-12-04T09:04:26.6070563Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:04:26.6070740Z HAS_NVIDIA_GPU: false 2025-12-04T09:04:26.6070901Z ##[endgroup] 2025-12-04T09:04:26.6142059Z ##[group]Run set -x 2025-12-04T09:04:26.6142286Z set -x 2025-12-04T09:04:26.6142537Z  2025-12-04T09:04:26.6142705Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-12-04T09:04:26.6142936Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-12-04T09:04:26.6143176Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-12-04T09:04:26.6143399Z  TEST_COMMAND=.ci/onnx/test.sh 2025-12-04T09:04:26.6143578Z else 2025-12-04T09:04:26.6143743Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-12-04T09:04:26.6143932Z fi 2025-12-04T09:04:26.6144060Z  2025-12-04T09:04:26.6144233Z # Leaving 1GB for the runner and other things 2025-12-04T09:04:26.6144570Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-12-04T09:04:26.6145070Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-12-04T09:04:26.6145463Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-12-04T09:04:26.6145772Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-12-04T09:04:26.6146015Z  2025-12-04T09:04:26.6146181Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-12-04T09:04:26.6146392Z  SHM_OPTS= 2025-12-04T09:04:26.6146557Z  JENKINS_USER= 2025-12-04T09:04:26.6146767Z  # ensure that docker container cleanly exits in 12 hours 2025-12-04T09:04:26.6147050Z  # if for some reason cleanup action doesn't stop container 2025-12-04T09:04:26.6147291Z  # when job is cancelled 2025-12-04T09:04:26.6147485Z  DOCKER_SHELL_CMD="sleep 12h" 2025-12-04T09:04:26.6147688Z  USED_IMAGE="${DOCKER_IMAGE_S390X}" 2025-12-04T09:04:26.6147878Z else 2025-12-04T09:04:26.6148045Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-12-04T09:04:26.6148248Z  JENKINS_USER="--user jenkins" 2025-12-04T09:04:26.6148441Z  DOCKER_SHELL_CMD= 2025-12-04T09:04:26.6148626Z  USED_IMAGE="${DOCKER_IMAGE}" 2025-12-04T09:04:26.6148797Z fi 2025-12-04T09:04:26.6148933Z  2025-12-04T09:04:26.6149139Z # detached container should get cleaned up by teardown_ec2_linux 2025-12-04T09:04:26.6149439Z # TODO: Stop building test binaries as part of the build phase 2025-12-04T09:04:26.6149770Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-12-04T09:04:26.6150069Z # shellcheck disable=SC2086,SC2090 2025-12-04T09:04:26.6150276Z container_name=$(docker run \ 2025-12-04T09:04:26.6150460Z  ${GPU_FLAG:-} \ 2025-12-04T09:04:26.6150657Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-12-04T09:04:26.6150868Z  -e BUILD_ENVIRONMENT \ 2025-12-04T09:04:26.6151054Z  -e PR_NUMBER \ 2025-12-04T09:04:26.6151227Z  -e GITHUB_ACTIONS \ 2025-12-04T09:04:26.6151409Z  -e GITHUB_REPOSITORY \ 2025-12-04T09:04:26.6151595Z  -e GITHUB_WORKFLOW \ 2025-12-04T09:04:26.6151766Z  -e GITHUB_JOB \ 2025-12-04T09:04:26.6151936Z  -e GITHUB_RUN_ID \ 2025-12-04T09:04:26.6152109Z  -e GITHUB_RUN_NUMBER \ 2025-12-04T09:04:26.6152284Z  -e GITHUB_RUN_ATTEMPT \ 2025-12-04T09:04:26.6152465Z  -e JOB_ID \ 2025-12-04T09:04:26.6152626Z  -e JOB_NAME \ 2025-12-04T09:04:26.6152786Z  -e BASE_SHA \ 2025-12-04T09:04:26.6152942Z  -e BRANCH \ 2025-12-04T09:04:26.6153097Z  -e SHA1 \ 2025-12-04T09:04:26.6153261Z  -e AWS_DEFAULT_REGION \ 2025-12-04T09:04:26.6153434Z  -e IN_WHEEL_TEST \ 2025-12-04T09:04:26.6153605Z  -e SHARD_NUMBER \ 2025-12-04T09:04:26.6153776Z  -e TEST_CONFIG \ 2025-12-04T09:04:26.6153942Z  -e NUM_TEST_SHARDS \ 2025-12-04T09:04:26.6154188Z  -e REENABLED_ISSUES \ 2025-12-04T09:04:26.6154386Z  -e CONTINUE_THROUGH_ERROR \ 2025-12-04T09:04:26.6154617Z  -e VERBOSE_TEST_LOGS \ 2025-12-04T09:04:26.6154801Z  -e TEST_SHOWLOCALS \ 2025-12-04T09:04:26.6154984Z  -e NO_TEST_TIMEOUT \ 2025-12-04T09:04:26.6155157Z  -e NO_TD \ 2025-12-04T09:04:26.6155316Z  -e TD_DISTRIBUTED \ 2025-12-04T09:04:26.6155493Z  -e PR_LABELS \ 2025-12-04T09:04:26.6155686Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-12-04T09:04:26.6155885Z  -e SCCACHE_BUCKET \ 2025-12-04T09:04:26.6156063Z  -e SCCACHE_REGION \ 2025-12-04T09:04:26.6156233Z  -e XLA_CUDA \ 2025-12-04T09:04:26.6156406Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-12-04T09:04:26.6156624Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-12-04T09:04:26.6156844Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-12-04T09:04:26.6157072Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-12-04T09:04:26.6157273Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-12-04T09:04:26.6157479Z  -e VLLM_TEST_HUGGING_FACE_TOKEN \ 2025-12-04T09:04:26.6157685Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-12-04T09:04:26.6157871Z  -e DASHBOARD_TAG \ 2025-12-04T09:04:26.6158049Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-12-04T09:04:26.6158271Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-12-04T09:04:26.6158509Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-12-04T09:04:26.6158758Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-12-04T09:04:26.6158995Z  --security-opt seccomp=unconfined \ 2025-12-04T09:04:26.6159201Z  --cap-add=SYS_PTRACE \ 2025-12-04T09:04:26.6159378Z  --ipc=host \ 2025-12-04T09:04:26.6159543Z  ${SHM_OPTS} \ 2025-12-04T09:04:26.6159702Z  --tty \ 2025-12-04T09:04:26.6159846Z  --detach \ 2025-12-04T09:04:26.6160017Z  --name="${container_name}" \ 2025-12-04T09:04:26.6160212Z  ${JENKINS_USER} \ 2025-12-04T09:04:26.6160423Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-12-04T09:04:26.6160660Z  -w /var/lib/jenkins/workspace \ 2025-12-04T09:04:26.6160855Z  "${USED_IMAGE}" \ 2025-12-04T09:04:26.6161024Z  ${DOCKER_SHELL_CMD} 2025-12-04T09:04:26.6161182Z ) 2025-12-04T09:04:26.6161386Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-12-04T09:04:26.6161620Z  2025-12-04T09:04:26.6161785Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-12-04T09:04:26.6162121Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-12-04T09:04:26.6162414Z fi 2025-12-04T09:04:26.6162549Z  2025-12-04T09:04:26.6162826Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-12-04T09:04:26.6166328Z shell: /usr/bin/bash -e {0} 2025-12-04T09:04:26.6166504Z env: 2025-12-04T09:04:26.6166648Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:04:26.6166821Z HAS_NVIDIA_GPU: false 2025-12-04T09:04:26.6167017Z BUILD_ENVIRONMENT: linux-jammy-py3.11-clang12 2025-12-04T09:04:26.6167215Z PR_NUMBER: 2025-12-04T09:04:26.6167375Z GITHUB_REPOSITORY: pytorch/pytorch 2025-12-04T09:04:26.6167578Z GITHUB_WORKFLOW: dynamo-unittest 2025-12-04T09:04:26.6167752Z GITHUB_JOB: test 2025-12-04T09:04:26.6167908Z GITHUB_RUN_ID: 19922796517 2025-12-04T09:04:26.6168077Z GITHUB_RUN_NUMBER: 141 2025-12-04T09:04:26.6168248Z GITHUB_RUN_ATTEMPT: 1 2025-12-04T09:04:26.6168404Z JOB_ID: 57116440080 2025-12-04T09:04:26.6168635Z JOB_NAME: dynamo-test (3.11) / test (dynamo_wrapped, 1, 3, linux.c7i.2xlarge) 2025-12-04T09:04:26.6168884Z BRANCH: main 2025-12-04T09:04:26.6169053Z SHA1: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:04:26.6169356Z BASE_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:04:26.6169575Z TEST_CONFIG: dynamo_wrapped 2025-12-04T09:04:26.6169786Z SHARD_NUMBER: 1 2025-12-04T09:04:26.6169941Z NUM_TEST_SHARDS: 3 2025-12-04T09:04:26.6170099Z EXTRA_FLAGS: 2025-12-04T09:04:26.6170248Z OP_BENCHMARK_TESTS: 2025-12-04T09:04:26.6170413Z REENABLED_ISSUES: 2025-12-04T09:04:26.6170574Z CONTINUE_THROUGH_ERROR: True 2025-12-04T09:04:26.6170751Z VERBOSE_TEST_LOGS: False 2025-12-04T09:04:26.6170911Z TEST_SHOWLOCALS: False 2025-12-04T09:04:26.6171074Z NO_TEST_TIMEOUT: False 2025-12-04T09:04:26.6171232Z NO_TD: False 2025-12-04T09:04:26.6171372Z TD_DISTRIBUTED: False 2025-12-04T09:04:26.6171569Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-12-04T09:04:26.6171789Z SCCACHE_REGION: us-east-1 2025-12-04T09:04:26.6171952Z SHM_SIZE: 1g 2025-12-04T09:04:26.6172365Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.11-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:04:26.6172865Z DOCKER_IMAGE_S390X: ci-image:pytorch-linux-jammy-py3.11-clang12 2025-12-04T09:04:26.6173105Z XLA_CUDA: 2025-12-04T09:04:26.6173318Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-12-04T09:04:26.6173589Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-12-04T09:04:26.6173791Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2025-12-04T09:04:26.6173969Z DASHBOARD_TAG: 2025-12-04T09:04:26.6174271Z VLLM_TEST_HUGGING_FACE_TOKEN: *** 2025-12-04T09:04:26.6174525Z HUGGING_FACE_HUB_TOKEN: *** 2025-12-04T09:04:26.6174787Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-12-04T09:04:26.6175054Z ARTIFACTS_FILE_SUFFIX: test-dynamo_wrapped-1-3-linux.c7i.2xlarge_57116440080 2025-12-04T09:04:26.6175312Z ##[endgroup] 2025-12-04T09:04:26.6194580Z + [[ dynamo_wrapped == \m\u\l\t\i\g\p\u ]] 2025-12-04T09:04:26.6194863Z + [[ linux-jammy-py3.11-clang12 == *onnx* ]] 2025-12-04T09:04:26.6195084Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-12-04T09:04:26.6197053Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-12-04T09:04:26.6239668Z + TOTAL_AVAILABLE_MEMORY_IN_GB='14.328 ' 2025-12-04T09:04:26.6239973Z + TOTAL_MEMORY_WITH_SWAP=17 2025-12-04T09:04:26.6240231Z + [[ linux-jammy-py3.11-clang12 == *\s\3\9\0\x* ]] 2025-12-04T09:04:26.6240493Z + SHM_OPTS=--shm-size=1g 2025-12-04T09:04:26.6240697Z + JENKINS_USER='--user jenkins' 2025-12-04T09:04:26.6240904Z + DOCKER_SHELL_CMD= 2025-12-04T09:04:26.6241403Z + USED_IMAGE=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.11-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:04:26.6247375Z +++ nproc --ignore=2 2025-12-04T09:04:26.6270104Z ++ 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-py3.11-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:04:35.1150046Z + container_name=6e00bad4f02eda5203b2bd3cc85146766687a298ec856060004b50978dc1d52b 2025-12-04T09:04:35.1151280Z + echo DOCKER_CONTAINER_ID=6e00bad4f02eda5203b2bd3cc85146766687a298ec856060004b50978dc1d52b 2025-12-04T09:04:35.1152163Z + [[ linux-jammy-py3.11-clang12 == *\s\3\9\0\x* ]] 2025-12-04T09:04:35.1156196Z ++ echo dist/torch-2.10.0a0+gitffd9b0f-cp311-cp311-linux_x86_64.whl 2025-12-04T09:04:35.1159041Z + docker exec -t 6e00bad4f02eda5203b2bd3cc85146766687a298ec856060004b50978dc1d52b sh -c 'python3 -m pip install dist/torch-2.10.0a0+gitffd9b0f-cp311-cp311-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-12-04T09:04:35.5644272Z Processing ./dist/torch-2.10.0a0+gitffd9b0f-cp311-cp311-linux_x86_64.whl (from torch==2.10.0a0+gitffd9b0f) 2025-12-04T09:04:35.7625979Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.11/lib/python3.11/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.18.0) 2025-12-04T09:04:35.7626850Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.11/lib/python3.11/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (4.12.2) 2025-12-04T09:04:35.7627761Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.11/lib/python3.11/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (1.13.3) 2025-12-04T09:04:35.7630971Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.11/lib/python3.11/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (2.8.8) 2025-12-04T09:04:35.7631786Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.11/lib/python3.11/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.1.6) 2025-12-04T09:04:35.7634506Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.11/lib/python3.11/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (2025.10.0) 2025-12-04T09:04:35.7644738Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.11/lib/python3.11/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.3.0) 2025-12-04T09:04:35.7717599Z Requirement already satisfied: numpy>=1.7 in /opt/conda/envs/py_3.11/lib/python3.11/site-packages (from opt-einsum>=3.3->torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (1.26.2) 2025-12-04T09:04:35.7747009Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.11/lib/python3.11/site-packages (from sympy>=1.13.3->torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (1.3.0) 2025-12-04T09:04:35.7779870Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.11/lib/python3.11/site-packages (from jinja2->torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.0.3) 2025-12-04T09:04:35.9074861Z Installing collected packages: torch 2025-12-04T09:04:44.3697263Z Successfully installed torch-2.10.0a0+gitffd9b0f 2025-12-04T09:04:44.4317743Z + export TERM=vt100 2025-12-04T09:04:44.4318083Z + TERM=vt100 2025-12-04T09:04:44.4318339Z ++ dirname .ci/pytorch/test.sh 2025-12-04T09:04:44.4339697Z + source .ci/pytorch/common.sh 2025-12-04T09:04:44.4344427Z +++ dirname .ci/pytorch/common.sh 2025-12-04T09:04:44.4350223Z ++ source .ci/pytorch/common_utils.sh 2025-12-04T09:04:44.4356627Z +++ declare -f -t trap_add 2025-12-04T09:04:44.4359567Z ++ set -ex -o pipefail 2025-12-04T09:04:44.4359838Z ++ [[ linux-jammy-py3.11-clang12 == *rocm* ]] 2025-12-04T09:04:44.4360117Z ++ BUILD_TEST_LIBTORCH=0 2025-12-04T09:04:44.4362663Z ++ dirname .ci/pytorch/test.sh 2025-12-04T09:04:44.4368433Z + source .ci/pytorch/common-build.sh 2025-12-04T09:04:44.4373426Z ++ [[ linux-jammy-py3.11-clang12 != *win-* ]] 2025-12-04T09:04:44.4377992Z ++++ dirname .ci/pytorch/common-build.sh 2025-12-04T09:04:44.4384637Z +++ cd .ci/pytorch 2025-12-04T09:04:44.4384891Z +++ pwd -P 2025-12-04T09:04:44.4386556Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-12-04T09:04:44.4386842Z ++ [[ linux-jammy-py3.11-clang12 == *-pch* ]] 2025-12-04T09:04:44.4387062Z ++ which sccache 2025-12-04T09:04:44.4404568Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-12-04T09:04:44.4405195Z ++ sccache --stop-server 2025-12-04T09:04:44.4864486Z ++ true 2025-12-04T09:04:44.4865059Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-12-04T09:04:44.4884507Z ++ trap_add sccache_epilogue EXIT 2025-12-04T09:04:44.4884797Z ++ trap_add_cmd=sccache_epilogue 2025-12-04T09:04:44.4884991Z ++ shift 2025-12-04T09:04:44.4885158Z ++ for trap_add_name in "$@" 2025-12-04T09:04:44.4889929Z ++++ trap -p EXIT 2025-12-04T09:04:44.4892048Z +++ eval 'extract_trap_cmd ' 2025-12-04T09:04:44.4892271Z ++++ extract_trap_cmd 2025-12-04T09:04:44.4892489Z ++++ printf '%s\n' '' 2025-12-04T09:04:44.4892728Z +++ printf '%s\n' sccache_epilogue 2025-12-04T09:04:44.4894760Z ++ trap -- ' 2025-12-04T09:04:44.4894969Z sccache_epilogue' EXIT 2025-12-04T09:04:44.4895172Z ++ [[ -n 1 ]] 2025-12-04T09:04:44.4895455Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-12-04T09:04:44.4895809Z Skipping sccache server initialization, setting environment variables 2025-12-04T09:04:44.4896130Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-12-04T09:04:44.4896323Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-12-04T09:04:44.4896546Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T09:04:44.4896867Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T09:04:44.4904625Z ++ export RUST_LOG=sccache::server=error 2025-12-04T09:04:44.4904884Z ++ RUST_LOG=sccache::server=error 2025-12-04T09:04:44.4905113Z ++ sccache --zero-stats 2025-12-04T09:04:44.6555942Z Statistics zeroed. 2025-12-04T09:04:44.6558749Z ++ which ccache 2025-12-04T09:04:44.6580630Z + [[ linux-jammy-py3.11-clang12 != *rocm* ]] 2025-12-04T09:04:44.6580996Z + [[ linux-jammy-py3.11-clang12 != *s390x* ]] 2025-12-04T09:04:44.6581268Z + [[ -d /var/lib/jenkins/workspace ]] 2025-12-04T09:04:44.6582407Z ++ stat -c %u /var/lib/jenkins/workspace 2025-12-04T09:04:44.6644421Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-12-04T09:04:44.6644807Z + trap_add cleanup_workspace EXIT 2025-12-04T09:04:44.6645054Z + trap_add_cmd=cleanup_workspace 2025-12-04T09:04:44.6645301Z + shift 2025-12-04T09:04:44.6645479Z + for trap_add_name in "$@" 2025-12-04T09:04:44.6651401Z +++ trap -p EXIT 2025-12-04T09:04:44.6651621Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-12-04T09:04:44.6651847Z sccache_epilogue'\'' EXIT' 2025-12-04T09:04:44.6652050Z +++ extract_trap_cmd trap -- ' 2025-12-04T09:04:44.6652227Z sccache_epilogue' EXIT 2025-12-04T09:04:44.6652419Z +++ printf '%s\n' ' 2025-12-04T09:04:44.6652594Z sccache_epilogue' 2025-12-04T09:04:44.6652818Z ++ printf '%s\n' cleanup_workspace 2025-12-04T09:04:44.6653070Z + trap -- ' 2025-12-04T09:04:44.6653267Z sccache_epilogue 2025-12-04T09:04:44.6653468Z cleanup_workspace' EXIT 2025-12-04T09:04:44.6653706Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-12-04T09:04:45.1446740Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-12-04T09:04:45.1566645Z + [[ linux-jammy-py3.11-clang12 == *cuda* ]] 2025-12-04T09:04:45.1566935Z + echo 'Environment variables:' 2025-12-04T09:04:45.1567133Z Environment variables: 2025-12-04T09:04:45.1567333Z + env 2025-12-04T09:04:45.1583028Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T09:04:45.1583489Z CONTINUE_THROUGH_ERROR=True 2025-12-04T09:04:45.1583713Z BUILD_ENVIRONMENT=linux-jammy-py3.11-clang12 2025-12-04T09:04:45.1584167Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-12-04T09:04:45.1584365Z HOSTNAME=6e00bad4f02e 2025-12-04T09:04:45.1584707Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_23a202bd-4224-4616-aa29-a783c4a1d17d 2025-12-04T09:04:45.1585120Z GITHUB_ACTION=__run_3 2025-12-04T09:04:45.1585295Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-12-04T09:04:45.1585482Z GITHUB_RUN_NUMBER=141 2025-12-04T09:04:45.1585669Z TEST_CONFIG=dynamo_wrapped 2025-12-04T09:04:45.1585870Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-12-04T09:04:45.1586082Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-12-04T09:04:45.1586312Z SCCACHE_IDLE_TIMEOUT=0 2025-12-04T09:04:45.1586594Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-12-04T09:04:45.1587074Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-12-04T09:04:45.1587332Z GITHUB_REF_TYPE=branch 2025-12-04T09:04:45.1587630Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:04:45.1587842Z XLA_CUDA= 2025-12-04T09:04:45.1588034Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-12-04T09:04:45.1588282Z HUGGING_FACE_HUB_TOKEN=*** 2025-12-04T09:04:45.1588671Z *** 2025-12-04T09:04:45.1588862Z GITHUB_REPOSITORY_ID=65600975 2025-12-04T09:04:45.1589091Z GITHUB_ACTIONS=true 2025-12-04T09:04:45.1589343Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T09:04:45.1589652Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:04:45.1589967Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:04:45.1590433Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/dynamo-unittest.yml@refs/heads/main 2025-12-04T09:04:45.1590864Z UCC_HOME=/usr 2025-12-04T09:04:45.1591073Z VERBOSE_TEST_LOGS=False 2025-12-04T09:04:45.1591316Z GITHUB_REF=refs/heads/main 2025-12-04T09:04:45.1591535Z SHARD_NUMBER=1 2025-12-04T09:04:45.1591753Z GITHUB_REF_PROTECTED=true 2025-12-04T09:04:45.1591987Z HOME=/var/lib/jenkins 2025-12-04T09:04:45.1592280Z GITHUB_API_URL=https://api.github.com 2025-12-04T09:04:45.1592616Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-12-04T09:04:45.1592898Z UCX_COMMIT= 2025-12-04T09:04:45.1593118Z USE_SYSTEM_NCCL=1 2025-12-04T09:04:45.1593351Z NUM_TEST_SHARDS=3 2025-12-04T09:04:45.1593574Z UCX_HOME=/usr 2025-12-04T09:04:45.1594075Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_23a202bd-4224-4616-aa29-a783c4a1d17d 2025-12-04T09:04:45.1594724Z JOB_NAME=dynamo-test (3.11) / test (dynamo_wrapped, 1, 3, linux.c7i.2xlarge) 2025-12-04T09:04:45.1595387Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_23a202bd-4224-4616-aa29-a783c4a1d17d 2025-12-04T09:04:45.1596064Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-12-04T09:04:45.1596508Z GITHUB_EVENT_NAME=schedule 2025-12-04T09:04:45.1596753Z DASHBOARD_TAG= 2025-12-04T09:04:45.1596969Z GITHUB_RUN_ID=19922796517 2025-12-04T09:04:45.1597219Z INSTALLED_OPENBLAS= 2025-12-04T09:04:45.1597761Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_23a202bd-4224-4616-aa29-a783c4a1d17d 2025-12-04T09:04:45.1598397Z GITHUB_ACTOR=pytorchmergebot 2025-12-04T09:04:45.1598647Z PR_NUMBER= 2025-12-04T09:04:45.1598849Z DESIRED_CUDA= 2025-12-04T09:04:45.1599045Z GITHUB_RUN_ATTEMPT=1 2025-12-04T09:04:45.1599290Z ANACONDA_PYTHON_VERSION=3.11 2025-12-04T09:04:45.1599590Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-12-04T09:04:45.1599911Z TERM=vt100 2025-12-04T09:04:45.1600101Z INSTALLED_VISION=no 2025-12-04T09:04:45.1600302Z BRANCH=main 2025-12-04T09:04:45.1600509Z SCCACHE_REGION=us-east-1 2025-12-04T09:04:45.1600746Z OPENSSL_ROOT_DIR=/opt/openssl 2025-12-04T09:04:45.1600989Z BUILD_AOT_INDUCTOR_TEST= 2025-12-04T09:04:45.1601213Z CUDA_PATH=/usr/local/cuda 2025-12-04T09:04:45.1601671Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-12-04T09:04:45.1602486Z GITHUB_SERVER_URL=https://github.com 2025-12-04T09:04:45.1602786Z UCC_COMMIT= 2025-12-04T09:04:45.1602993Z REENABLED_ISSUES= 2025-12-04T09:04:45.1603205Z DOCS= 2025-12-04T09:04:45.1603387Z SHLVL=1 2025-12-04T09:04:45.1603574Z MAX_JOBS=6 2025-12-04T09:04:45.1603780Z GITHUB_ACTOR_ID=97764156 2025-12-04T09:04:45.1604083Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:04:45.1604327Z GITHUB_REF_NAME=main 2025-12-04T09:04:45.1604566Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-12-04T09:04:45.1604813Z GITHUB_JOB=test 2025-12-04T09:04:45.1604966Z NO_TEST_TIMEOUT=False 2025-12-04T09:04:45.1605128Z TD_DISTRIBUTED=False 2025-12-04T09:04:45.1605291Z GITHUB_REPOSITORY=pytorch/pytorch 2025-12-04T09:04:45.1605485Z GITHUB_RETENTION_DAYS=90 2025-12-04T09:04:45.1605649Z OPENSSL_DIR=/opt/openssl 2025-12-04T09:04:45.1605817Z GITHUB_ACTION_REPOSITORY= 2025-12-04T09:04:45.1606465Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.11/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-12-04T09:04:45.1606984Z GITHUB_BASE_REF= 2025-12-04T09:04:45.1607138Z INSTALLED_ACL= 2025-12-04T09:04:45.1607371Z ARTIFACTS_FILE_SUFFIX=test-dynamo_wrapped-1-3-linux.c7i.2xlarge_57116440080 2025-12-04T09:04:45.1607637Z CI=true 2025-12-04T09:04:45.1607788Z GITHUB_REPOSITORY_OWNER=pytorch 2025-12-04T09:04:45.1608009Z RUST_LOG=sccache::server=error 2025-12-04T09:04:45.1608181Z JOB_ID=57116440080 2025-12-04T09:04:45.1608325Z GITHUB_HEAD_REF= 2025-12-04T09:04:45.1608468Z GITHUB_ACTION_REF= 2025-12-04T09:04:45.1608661Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-12-04T09:04:45.1608876Z TEST_SHOWLOCALS=False 2025-12-04T09:04:45.1609044Z GITHUB_WORKFLOW=dynamo-unittest 2025-12-04T09:04:45.1609223Z DEBIAN_FRONTEND=noninteractive 2025-12-04T09:04:45.1609582Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_23a202bd-4224-4616-aa29-a783c4a1d17d 2025-12-04T09:04:45.1609935Z NO_TD=False 2025-12-04T09:04:45.1610087Z SKIP_SCCACHE_INITIALIZATION=1 2025-12-04T09:04:45.1610282Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-12-04T09:04:45.1610482Z _=/usr/bin/env 2025-12-04T09:04:45.1610702Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-12-04T09:04:45.1745996Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch 2025-12-04T09:04:45.1746451Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/bin 2025-12-04T09:04:45.1746784Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/lib 2025-12-04T09:04:45.1747113Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/test 2025-12-04T09:04:45.1747379Z + BUILD_DIR=build 2025-12-04T09:04:45.1747553Z + BUILD_RENAMED_DIR=build_renamed 2025-12-04T09:04:45.1747738Z + BUILD_BIN_DIR=build/bin 2025-12-04T09:04:45.1747902Z + SHARD_NUMBER=1 2025-12-04T09:04:45.1748066Z + NUM_TEST_SHARDS=3 2025-12-04T09:04:45.1748272Z + export TORCH_SERIALIZATION_DEBUG=1 2025-12-04T09:04:45.1748467Z + TORCH_SERIALIZATION_DEBUG=1 2025-12-04T09:04:45.1748662Z + export VALGRIND=ON 2025-12-04T09:04:45.1748846Z + VALGRIND=ON 2025-12-04T09:04:45.1749054Z + [[ linux-jammy-py3.11-clang12 == *clang9* ]] 2025-12-04T09:04:45.1749274Z + [[ linux-jammy-py3.11-clang12 == *xpu* ]] 2025-12-04T09:04:45.1749468Z + detect_cuda_arch 2025-12-04T09:04:45.1749630Z + [[ linux-jammy-py3.11-clang12 == *cuda* ]] 2025-12-04T09:04:45.1749846Z + [[ linux-jammy-py3.11-clang12 == *s390x* ]] 2025-12-04T09:04:45.1750036Z + [[ 0 == \1 ]] 2025-12-04T09:04:45.1750173Z + [[ True == \1 ]] 2025-12-04T09:04:45.1750343Z + [[ linux-jammy-py3.11-clang12 != *bazel* ]] 2025-12-04T09:04:45.1750551Z ++ realpath build/custom_test_artifacts 2025-12-04T09:04:45.1765949Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-12-04T09:04:45.1766260Z + [[ -n '' ]] 2025-12-04T09:04:45.1766423Z + echo 'Environment variables' 2025-12-04T09:04:45.1766610Z Environment variables 2025-12-04T09:04:45.1766763Z + env 2025-12-04T09:04:45.1782043Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T09:04:45.1782475Z CONTINUE_THROUGH_ERROR=True 2025-12-04T09:04:45.1782701Z BUILD_ENVIRONMENT=linux-jammy-py3.11-clang12 2025-12-04T09:04:45.1783258Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-12-04T09:04:45.1783544Z HOSTNAME=6e00bad4f02e 2025-12-04T09:04:45.1784096Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_23a202bd-4224-4616-aa29-a783c4a1d17d 2025-12-04T09:04:45.1784611Z GITHUB_ACTION=__run_3 2025-12-04T09:04:45.1784806Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-12-04T09:04:45.1785039Z GITHUB_RUN_NUMBER=141 2025-12-04T09:04:45.1785250Z TEST_CONFIG=dynamo_wrapped 2025-12-04T09:04:45.1785427Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-12-04T09:04:45.1785638Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-12-04T09:04:45.1785836Z SCCACHE_IDLE_TIMEOUT=0 2025-12-04T09:04:45.1786350Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-12-04T09:04:45.1786552Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-12-04T09:04:45.1786824Z GITHUB_REF_TYPE=branch 2025-12-04T09:04:45.1787016Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:04:45.1787229Z XLA_CUDA= 2025-12-04T09:04:45.1787380Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-12-04T09:04:45.1787722Z HUGGING_FACE_HUB_TOKEN=*** 2025-12-04T09:04:45.1787933Z *** 2025-12-04T09:04:45.1788080Z GITHUB_REPOSITORY_ID=65600975 2025-12-04T09:04:45.1788282Z GITHUB_ACTIONS=true 2025-12-04T09:04:45.1788565Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T09:04:45.1788946Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:04:45.1789178Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:04:45.1789504Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/dynamo-unittest.yml@refs/heads/main 2025-12-04T09:04:45.1789788Z UCC_HOME=/usr 2025-12-04T09:04:45.1789937Z TORCH_SERIALIZATION_DEBUG=1 2025-12-04T09:04:45.1790116Z VERBOSE_TEST_LOGS=False 2025-12-04T09:04:45.1790277Z GITHUB_REF=refs/heads/main 2025-12-04T09:04:45.1790440Z SHARD_NUMBER=1 2025-12-04T09:04:45.1790592Z GITHUB_REF_PROTECTED=true 2025-12-04T09:04:45.1790750Z HOME=/var/lib/jenkins 2025-12-04T09:04:45.1790931Z GITHUB_API_URL=https://api.github.com 2025-12-04T09:04:45.1791137Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-12-04T09:04:45.1791306Z UCX_COMMIT= 2025-12-04T09:04:45.1791489Z USE_SYSTEM_NCCL=1 2025-12-04T09:04:45.1791639Z NUM_TEST_SHARDS=3 2025-12-04T09:04:45.1791784Z UCX_HOME=/usr 2025-12-04T09:04:45.1792098Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_23a202bd-4224-4616-aa29-a783c4a1d17d 2025-12-04T09:04:45.1792661Z JOB_NAME=dynamo-test (3.11) / test (dynamo_wrapped, 1, 3, linux.c7i.2xlarge) 2025-12-04T09:04:45.1793083Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_23a202bd-4224-4616-aa29-a783c4a1d17d 2025-12-04T09:04:45.1793529Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-12-04T09:04:45.1793810Z GITHUB_EVENT_NAME=schedule 2025-12-04T09:04:45.1793985Z DASHBOARD_TAG= 2025-12-04T09:04:45.1794139Z GITHUB_RUN_ID=19922796517 2025-12-04T09:04:45.1794310Z INSTALLED_OPENBLAS= 2025-12-04T09:04:45.1794648Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_23a202bd-4224-4616-aa29-a783c4a1d17d 2025-12-04T09:04:45.1795030Z GITHUB_ACTOR=pytorchmergebot 2025-12-04T09:04:45.1795198Z PR_NUMBER= 2025-12-04T09:04:45.1795336Z DESIRED_CUDA= 2025-12-04T09:04:45.1795487Z GITHUB_RUN_ATTEMPT=1 2025-12-04T09:04:45.1795640Z VALGRIND=ON 2025-12-04T09:04:45.1795791Z ANACONDA_PYTHON_VERSION=3.11 2025-12-04T09:04:45.1796003Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-12-04T09:04:45.1796253Z TERM=vt100 2025-12-04T09:04:45.1796473Z INSTALLED_VISION=no 2025-12-04T09:04:45.1796632Z BRANCH=main 2025-12-04T09:04:45.1796781Z SCCACHE_REGION=us-east-1 2025-12-04T09:04:45.1796954Z OPENSSL_ROOT_DIR=/opt/openssl 2025-12-04T09:04:45.1797140Z BUILD_AOT_INDUCTOR_TEST= 2025-12-04T09:04:45.1797310Z CUDA_PATH=/usr/local/cuda 2025-12-04T09:04:45.1797616Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-12-04T09:04:45.1797949Z GITHUB_SERVER_URL=https://github.com 2025-12-04T09:04:45.1798142Z UCC_COMMIT= 2025-12-04T09:04:45.1798271Z REENABLED_ISSUES= 2025-12-04T09:04:45.1798419Z DOCS= 2025-12-04T09:04:45.1798555Z SHLVL=1 2025-12-04T09:04:45.1798685Z MAX_JOBS=6 2025-12-04T09:04:45.1798831Z GITHUB_ACTOR_ID=97764156 2025-12-04T09:04:45.1799054Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:04:45.1799284Z GITHUB_REF_NAME=main 2025-12-04T09:04:45.1799527Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-12-04T09:04:45.1799947Z GITHUB_JOB=test 2025-12-04T09:04:45.1800100Z NO_TEST_TIMEOUT=False 2025-12-04T09:04:45.1800253Z TD_DISTRIBUTED=False 2025-12-04T09:04:45.1800426Z GITHUB_REPOSITORY=pytorch/pytorch 2025-12-04T09:04:45.1800682Z GITHUB_RETENTION_DAYS=90 2025-12-04T09:04:45.1800847Z OPENSSL_DIR=/opt/openssl 2025-12-04T09:04:45.1801068Z GITHUB_ACTION_REPOSITORY= 2025-12-04T09:04:45.1801522Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.11/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-12-04T09:04:45.1802179Z GITHUB_BASE_REF= 2025-12-04T09:04:45.1802341Z INSTALLED_ACL= 2025-12-04T09:04:45.1802588Z ARTIFACTS_FILE_SUFFIX=test-dynamo_wrapped-1-3-linux.c7i.2xlarge_57116440080 2025-12-04T09:04:45.1802848Z CI=true 2025-12-04T09:04:45.1803003Z GITHUB_REPOSITORY_OWNER=pytorch 2025-12-04T09:04:45.1803226Z RUST_LOG=sccache::server=error 2025-12-04T09:04:45.1803422Z JOB_ID=57116440080 2025-12-04T09:04:45.1803666Z GITHUB_HEAD_REF= 2025-12-04T09:04:45.1803852Z GITHUB_ACTION_REF= 2025-12-04T09:04:45.1804039Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-12-04T09:04:45.1804248Z TEST_SHOWLOCALS=False 2025-12-04T09:04:45.1804417Z GITHUB_WORKFLOW=dynamo-unittest 2025-12-04T09:04:45.1804605Z DEBIAN_FRONTEND=noninteractive 2025-12-04T09:04:45.1804959Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_23a202bd-4224-4616-aa29-a783c4a1d17d 2025-12-04T09:04:45.1805314Z NO_TD=False 2025-12-04T09:04:45.1805466Z SKIP_SCCACHE_INITIALIZATION=1 2025-12-04T09:04:45.1805653Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-12-04T09:04:45.1805848Z _=/usr/bin/env 2025-12-04T09:04:45.1806001Z + echo 'Testing pytorch' 2025-12-04T09:04:45.1806157Z Testing pytorch 2025-12-04T09:04:45.1806327Z + export LANG=C.UTF-8 2025-12-04T09:04:45.1806483Z + LANG=C.UTF-8 2025-12-04T09:04:45.1829544Z + PR_NUMBER= 2025-12-04T09:04:45.1829787Z + [[ dynamo_wrapped == \d\e\f\a\u\l\t ]] 2025-12-04T09:04:45.1830042Z + [[ dynamo_wrapped == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-12-04T09:04:45.1830326Z + [[ dynamo_wrapped == \s\l\o\w ]] 2025-12-04T09:04:45.1830652Z + [[ linux-jammy-py3.11-clang12 == *slow-gradcheck* ]] 2025-12-04T09:04:45.1831027Z + [[ linux-jammy-py3.11-clang12 == *cuda* ]] 2025-12-04T09:04:45.1831298Z + [[ linux-jammy-py3.11-clang12 == *rocm* ]] 2025-12-04T09:04:45.1831508Z + [[ linux-jammy-py3.11-clang12 == *xpu* ]] 2025-12-04T09:04:45.1831717Z + [[ dynamo_wrapped == *crossref* ]] 2025-12-04T09:04:45.1831972Z + [[ linux-jammy-py3.11-clang12 == *rocm* ]] 2025-12-04T09:04:45.1832183Z + [[ linux-jammy-py3.11-clang12 == *xpu* ]] 2025-12-04T09:04:45.1832390Z + [[ linux-jammy-py3.11-clang12 != *-bazel-* ]] 2025-12-04T09:04:45.1832601Z + pip_install ninja==1.10.2 2025-12-04T09:04:45.1832840Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-12-04T09:04:45.1833111Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-12-04T09:04:45.5238589Z Collecting ninja==1.10.2 2025-12-04T09:04:45.5443319Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-12-04T09:04:45.5566095Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-12-04T09:04:45.6844090Z Installing collected packages: ninja 2025-12-04T09:04:45.6844399Z Attempting uninstall: ninja 2025-12-04T09:04:45.6850942Z Found existing installation: ninja 1.11.1.4 2025-12-04T09:04:45.6867178Z Uninstalling ninja-1.11.1.4: 2025-12-04T09:04:45.6906587Z Successfully uninstalled ninja-1.11.1.4 2025-12-04T09:04:45.7074670Z Successfully installed ninja-1.10.2 2025-12-04T09:04:45.7610043Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.11/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-12-04T09:04:45.7610920Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.11/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-12-04T09:04:45.7611503Z + [[ linux-jammy-py3.11-clang12 == *aarch64* ]] 2025-12-04T09:04:45.7611820Z + [[ linux-jammy-py3.11-clang12 == *asan* ]] 2025-12-04T09:04:45.7612419Z + [[ linux-jammy-py3.11-clang12 == *-debug* ]] 2025-12-04T09:04:45.7612648Z + [[ linux-jammy-py3.11-clang12 != *-bazel-* ]] 2025-12-04T09:04:45.7613067Z + echo 'We are not in debug mode: linux-jammy-py3.11-clang12. Expect the assertion to pass' 2025-12-04T09:04:45.7613435Z We are not in debug mode: linux-jammy-py3.11-clang12. Expect the assertion to pass 2025-12-04T09:04:45.7613707Z + cd test 2025-12-04T09:04:45.7613935Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-12-04T09:04:46.8337130Z + [[ dynamo_wrapped == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-12-04T09:04:46.8337439Z + [[ dynamo_wrapped == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-12-04T09:04:46.8337696Z + [[ dynamo_wrapped == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-12-04T09:04:46.8337936Z + DYNAMO_BENCHMARK_FLAGS=() 2025-12-04T09:04:46.8338136Z + [[ dynamo_wrapped == *pr_time_benchmarks* ]] 2025-12-04T09:04:46.8338345Z + [[ dynamo_wrapped == *dynamo_eager* ]] 2025-12-04T09:04:46.8338539Z + [[ dynamo_wrapped == *aot_eager* ]] 2025-12-04T09:04:46.8338773Z + [[ dynamo_wrapped == *aot_inductor* ]] 2025-12-04T09:04:46.8338985Z + [[ dynamo_wrapped == *max_autotune_inductor* ]] 2025-12-04T09:04:46.8339212Z + [[ dynamo_wrapped == *inductor* ]] 2025-12-04T09:04:46.8339398Z + [[ dynamo_wrapped == *dynamic* ]] 2025-12-04T09:04:46.8339589Z + [[ dynamo_wrapped == *cpu* ]] 2025-12-04T09:04:46.8339769Z + [[ dynamo_wrapped == *xpu* ]] 2025-12-04T09:04:46.8340087Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda) 2025-12-04T09:04:46.8359260Z + [[ linux-jammy-py3.11-clang12 == *libtorch* ]] 2025-12-04T09:04:46.8359644Z + [[ linux-jammy-py3.11-clang12 == *-bazel-* ]] 2025-12-04T09:04:46.8361962Z + cd test 2025-12-04T09:04:46.8362529Z + python -c 'import torch; print(torch.__config__.show())' 2025-12-04T09:04:47.6621128Z PyTorch built with: 2025-12-04T09:04:47.6621417Z - GCC 4.2 2025-12-04T09:04:47.6621613Z - C++ Version: 201703 2025-12-04T09:04:47.6621811Z - clang 12.0.1 2025-12-04T09:04:47.6622201Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-12-04T09:04:47.6622631Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-12-04T09:04:47.6622925Z - OpenMP 201811 2025-12-04T09:04:47.6623114Z - LAPACK is enabled (usually provided by MKL) 2025-12-04T09:04:47.6623319Z - NNPACK is enabled 2025-12-04T09:04:47.6623484Z - CPU capability usage: AVX512 2025-12-04T09:04:47.6626258Z - 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, 2025-12-04T09:04:47.6629241Z 2025-12-04T09:04:47.8740724Z + cd test 2025-12-04T09:04:47.8741077Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-12-04T09:04:48.7025796Z ATen/Parallel: 2025-12-04T09:04:48.7026094Z at::get_num_threads() : 4 2025-12-04T09:04:48.7026310Z at::get_num_interop_threads() : 4 2025-12-04T09:04:48.7026961Z OpenMP 201811 2025-12-04T09:04:48.7027155Z omp_get_max_threads() : 4 2025-12-04T09:04:48.7027655Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-12-04T09:04:48.7028052Z mkl_get_max_threads() : 4 2025-12-04T09:04:48.7028298Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-12-04T09:04:48.7028560Z std::thread::hardware_concurrency() : 8 2025-12-04T09:04:48.7028820Z Environment variables: 2025-12-04T09:04:48.7028991Z OMP_NUM_THREADS : [not set] 2025-12-04T09:04:48.7029162Z MKL_NUM_THREADS : [not set] 2025-12-04T09:04:48.7029347Z ATen parallel backend: OpenMP 2025-12-04T09:04:48.7029513Z 2025-12-04T09:04:48.9219849Z + [[ dynamo_wrapped == *numpy_2* ]] 2025-12-04T09:04:48.9220412Z + [[ linux-jammy-py3.11-clang12 == *aarch64* ]] 2025-12-04T09:04:48.9220731Z + [[ dynamo_wrapped == *backward* ]] 2025-12-04T09:04:48.9221124Z + [[ dynamo_wrapped == *libtorch_agnostic_targetting* ]] 2025-12-04T09:04:48.9221561Z + [[ dynamo_wrapped == *xla* ]] 2025-12-04T09:04:48.9221790Z + [[ dynamo_wrapped == *vllm* ]] 2025-12-04T09:04:48.9222027Z + [[ dynamo_wrapped == *executorch* ]] 2025-12-04T09:04:48.9222265Z + [[ dynamo_wrapped == \j\i\t\_\l\e\g\a\c\y ]] 2025-12-04T09:04:48.9222495Z + [[ dynamo_wrapped == \q\u\a\n\t\i\z\a\t\i\o\n ]] 2025-12-04T09:04:48.9222773Z + [[ linux-jammy-py3.11-clang12 == *libtorch* ]] 2025-12-04T09:04:48.9223036Z + [[ dynamo_wrapped == distributed ]] 2025-12-04T09:04:48.9223265Z + [[ dynamo_wrapped == *operator_benchmark* ]] 2025-12-04T09:04:48.9223543Z + [[ dynamo_wrapped == *operator_microbenchmark* ]] 2025-12-04T09:04:48.9223816Z + [[ dynamo_wrapped == *attention_microbenchmark* ]] 2025-12-04T09:04:48.9224076Z + [[ dynamo_wrapped == *inductor_distributed* ]] 2025-12-04T09:04:48.9224303Z + [[ dynamo_wrapped == *inductor-halide* ]] 2025-12-04T09:04:48.9224556Z + [[ dynamo_wrapped == *inductor-pallas* ]] 2025-12-04T09:04:48.9224805Z + [[ dynamo_wrapped == *inductor-triton-cpu* ]] 2025-12-04T09:04:48.9225071Z + [[ dynamo_wrapped == *inductor-micro-benchmark* ]] 2025-12-04T09:04:48.9225382Z + [[ dynamo_wrapped == *aoti_cross_compile_for_windows* ]] 2025-12-04T09:04:48.9225660Z + [[ dynamo_wrapped == *huggingface* ]] 2025-12-04T09:04:48.9225886Z + [[ dynamo_wrapped == *timm* ]] 2025-12-04T09:04:48.9226100Z + [[ dynamo_wrapped == cachebench ]] 2025-12-04T09:04:48.9226337Z + [[ dynamo_wrapped == verify_cachebench ]] 2025-12-04T09:04:48.9226581Z + [[ dynamo_wrapped == *torchbench* ]] 2025-12-04T09:04:48.9226800Z + [[ dynamo_wrapped == *inductor_cpp_wrapper* ]] 2025-12-04T09:04:48.9227039Z + [[ dynamo_wrapped == *inductor_core* ]] 2025-12-04T09:04:48.9227273Z + [[ dynamo_wrapped == *inductor* ]] 2025-12-04T09:04:48.9227498Z + [[ dynamo_wrapped == *einops* ]] 2025-12-04T09:04:48.9227721Z + [[ dynamo_wrapped == *dynamo_core* ]] 2025-12-04T09:04:48.9227959Z + [[ dynamo_wrapped == *dynamo_wrapped* ]] 2025-12-04T09:04:48.9228159Z + install_torchvision 2025-12-04T09:04:48.9228321Z + local orig_preload 2025-12-04T09:04:48.9228481Z + local commit 2025-12-04T09:04:48.9228632Z ++ get_pinned_commit vision 2025-12-04T09:04:48.9228824Z ++ cat .github/ci_commit_pins/vision.txt 2025-12-04T09:04:48.9245683Z + commit=617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:04:48.9246067Z + orig_preload= 2025-12-04T09:04:48.9246272Z + '[' -n '' ']' 2025-12-04T09:04:48.9246460Z + [[ linux-jammy-py3.11-clang12 == *cuda* ]] 2025-12-04T09:04:48.9246894Z + pip_build_and_install git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e dist/vision 2025-12-04T09:04:48.9247380Z + local build_target=git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:04:48.9247710Z + local wheel_dir=dist/vision 2025-12-04T09:04:48.9247890Z + local found_whl=0 2025-12-04T09:04:48.9248052Z + for file in "${wheel_dir}"/*.whl 2025-12-04T09:04:48.9248246Z + [[ -f dist/vision/*.whl ]] 2025-12-04T09:04:48.9248411Z + '[' 0 == 0 ']' 2025-12-04T09:04:48.9249159Z + python3 -m pip wheel --no-build-isolation --no-deps -w dist/vision git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:04:49.1351200Z Collecting git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:04:49.1351841Z Cloning https://github.com/pytorch/vision.git (to revision 617079d944b0e72632311c30ae2bbdf1168b901e) to /tmp/pip-req-build-ol2n_frk 2025-12-04T09:04:49.1521875Z Running command git clone --filter=blob:none --quiet https://github.com/pytorch/vision.git /tmp/pip-req-build-ol2n_frk 2025-12-04T09:04:50.6491956Z Running command git rev-parse -q --verify 'sha^617079d944b0e72632311c30ae2bbdf1168b901e' 2025-12-04T09:04:50.6503096Z Running command git fetch -q https://github.com/pytorch/vision.git 617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:04:50.7331781Z Resolved https://github.com/pytorch/vision.git to commit 617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:04:52.0042267Z Preparing metadata (pyproject.toml) ... [?25l- \ done 2025-12-04T09:04:52.0067223Z [?25hBuilding wheels for collected packages: torchvision 2025-12-04T09:05:59.8621163Z Building wheel for torchvision (pyproject.toml) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | done 2025-12-04T09:05:59.8637605Z [?25h Created wheel for torchvision: filename=torchvision-0.25.0a0+617079d-cp311-cp311-linux_x86_64.whl size=1162542 sha256=22260fba3afbbfc1e6562609ce3e3a0eefc5741705f9b197140d322de7074db6 2025-12-04T09:05:59.8638392Z Stored in directory: /var/lib/jenkins/.cache/pip/wheels/06/97/21/c6bc9c4a8d7fabcd35d4c604353ca244b7063a5653586fd575 2025-12-04T09:05:59.8667310Z Successfully built torchvision 2025-12-04T09:05:59.9325983Z + for file in "${wheel_dir}"/*.whl 2025-12-04T09:05:59.9326431Z + pip_install_whl dist/vision/torchvision-0.25.0a0+617079d-cp311-cp311-linux_x86_64.whl 2025-12-04T09:05:59.9326920Z + args=('dist/vision/torchvision-0.25.0a0+617079d-cp311-cp311-linux_x86_64.whl') 2025-12-04T09:05:59.9327244Z + local args 2025-12-04T09:05:59.9327523Z + [[ dist/vision/torchvision-0.25.0a0+617079d-cp311-cp311-linux_x86_64.whl == *\ * ]] 2025-12-04T09:05:59.9327829Z + for path in "${args[@]}" 2025-12-04T09:05:59.9328136Z + echo 'Installing dist/vision/torchvision-0.25.0a0+617079d-cp311-cp311-linux_x86_64.whl' 2025-12-04T09:05:59.9328553Z Installing dist/vision/torchvision-0.25.0a0+617079d-cp311-cp311-linux_x86_64.whl 2025-12-04T09:05:59.9329006Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.25.0a0+617079d-cp311-cp311-linux_x86_64.whl 2025-12-04T09:06:00.1728286Z Processing ./dist/vision/torchvision-0.25.0a0+617079d-cp311-cp311-linux_x86_64.whl 2025-12-04T09:06:00.1788991Z Installing collected packages: torchvision 2025-12-04T09:06:00.4968062Z Successfully installed torchvision-0.25.0a0+617079d 2025-12-04T09:06:00.5387660Z + '[' -n '' ']' 2025-12-04T09:06:00.5388064Z + test_dynamo_wrapped_shard 1 2025-12-04T09:06:00.5388488Z + [[ -z 3 ]] 2025-12-04T09:06:00.5388840Z + python tools/dynamo/verify_dynamo.py 2025-12-04T09:06:01.3882981Z Python version: 3.11.9 2025-12-04T09:06:01.3883398Z `torch` version: 2.10.0a0+gitffd9b0f 2025-12-04T09:06:01.3883717Z CUDA version: None 2025-12-04T09:06:01.3883954Z ROCM version: None 2025-12-04T09:06:01.3884113Z 2025-12-04T09:06:02.9980271Z CUDA not available -- skipping CUDA check on eager backend 2025-12-04T09:06:02.9980603Z 2025-12-04T09:06:03.5994897Z CUDA not available -- skipping CUDA check on aot_eager backend 2025-12-04T09:06:03.5995149Z 2025-12-04T09:06:27.0632489Z CUDA not available -- skipping CUDA check on inductor backend 2025-12-04T09:06:27.0632833Z 2025-12-04T09:06:27.0632967Z All required checks passed 2025-12-04T09:06:28.2271770Z + 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 2025-12-04T09:06:30.2561853Z No TD results found 2025-12-04T09:06:30.2563111Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T09:06:30.2990819Z Ignoring disabled issues: [''] 2025-12-04T09:06:30.3077911Z ##[warning] Gathered no stats from artifacts for dynamo-test (3.11) build env and dynamo_wrapped test config. Using default job name and dynamo_wrapped test config instead. 2025-12-04T09:06:30.3330052Z ##[warning] Gathered no stats from artifacts for dynamo-test (3.11) build env and dynamo_wrapped test config. Using default job name and dynamo_wrapped test config instead. 2025-12-04T09:06:30.3334236Z Running all tests 2025-12-04T09:06:30.3444300Z Running parallel tests on 3 processes 2025-12-04T09:06:30.3448560Z Name: tests to run (est. time: 96.85min) 2025-12-04T09:06:30.3448906Z Serial tests (28): 2025-12-04T09:06:30.3449198Z distributions/test_distributions 1/3 2025-12-04T09:06:30.3449543Z distributions/test_distributions 3/3 2025-12-04T09:06:30.3449787Z doctests 1/1 2025-12-04T09:06:30.3450038Z nn/test_pooling 1/1 2025-12-04T09:06:30.3450271Z test_autocast 1/1 2025-12-04T09:06:30.3450497Z test_autograd_fallback 1/1 2025-12-04T09:06:30.3450735Z test_autoload_disable 1/1 2025-12-04T09:06:30.3450961Z test_ci_sanity_check_fail 1/1 2025-12-04T09:06:30.3451246Z test_cpp_api_parity 1/1 2025-12-04T09:06:30.3451472Z test_cuda_primary_ctx 1/1 2025-12-04T09:06:30.3451681Z test_jit_disabled 1/1 2025-12-04T09:06:30.3451871Z test_mobile_optimizer 1/1 2025-12-04T09:06:30.3452110Z test_multiprocessing 1/1 2025-12-04T09:06:30.3452327Z test_multiprocessing_spawn 1/1 2025-12-04T09:06:30.3452537Z test_nn 1/3 2025-12-04T09:06:30.3452711Z test_nn 3/3 2025-12-04T09:06:30.3452910Z test_overrides 1/1 2025-12-04T09:06:30.3453113Z test_privateuseone_python_backend 1/1 2025-12-04T09:06:30.3453328Z test_python_dispatch 1/1 2025-12-04T09:06:30.3453566Z test_reductions 1/2 2025-12-04T09:06:30.3453760Z test_reductions 2/2 2025-12-04T09:06:30.3453940Z test_show_pickle 1/1 2025-12-04T09:06:30.3454132Z test_sort_and_select 1/1 2025-12-04T09:06:30.3454365Z test_spectral_ops 1/1 2025-12-04T09:06:30.3454547Z test_tensor_creation_ops 1/1 2025-12-04T09:06:30.3454755Z test_tensorexpr 1/1 2025-12-04T09:06:30.3454944Z test_torch 1/1 2025-12-04T09:06:30.3455143Z test_utils 1/1 2025-12-04T09:06:30.3455306Z Parallel tests (38): 2025-12-04T09:06:30.3455580Z cpp_extensions/python_agnostic_extension/test/test_python_agnostic 1/1 2025-12-04T09:06:30.3455918Z dynamo/test_aot_autograd 1/1 2025-12-04T09:06:30.3456115Z dynamo/test_autograd_function 1/1 2025-12-04T09:06:30.3456329Z dynamo/test_base_hop 1/1 2025-12-04T09:06:30.3456572Z dynamo/test_bytecode_utils 1/1 2025-12-04T09:06:30.3456775Z dynamo/test_compiler_bisector 1/1 2025-12-04T09:06:30.3456981Z dynamo/test_ctx_manager 1/1 2025-12-04T09:06:30.3457211Z dynamo/test_debug_utils 1/1 2025-12-04T09:06:30.3457447Z dynamo/test_deviceguard 1/1 2025-12-04T09:06:30.3457636Z dynamo/test_einops 1/1 2025-12-04T09:06:30.3457834Z dynamo/test_exceptions 1/1 2025-12-04T09:06:30.3458069Z dynamo/test_flat_apply 1/1 2025-12-04T09:06:30.3458264Z dynamo/test_fx_annotate 1/1 2025-12-04T09:06:30.3458462Z dynamo/test_generator 1/1 2025-12-04T09:06:30.3458668Z dynamo/test_graph_region_tracker 1/1 2025-12-04T09:06:30.3458919Z dynamo/test_higher_order_ops 1/1 2025-12-04T09:06:30.3459135Z dynamo/test_input_attr_tracking 1/1 2025-12-04T09:06:30.3459340Z dynamo/test_list 1/1 2025-12-04T09:06:30.3459533Z dynamo/test_minifier 1/1 2025-12-04T09:06:30.3459733Z dynamo/test_modes 1/1 2025-12-04T09:06:30.3460008Z dynamo/test_nops 1/1 2025-12-04T09:06:30.3460200Z dynamo/test_pgo 1/1 2025-12-04T09:06:30.3460479Z dynamo/test_profiler 1/1 2025-12-04T09:06:30.3460713Z dynamo/test_recompile_ux 1/1 2025-12-04T09:06:30.3461343Z dynamo/test_regional_inductor 1/1 2025-12-04T09:06:30.3461587Z dynamo/test_resume 1/1 2025-12-04T09:06:30.3461978Z dynamo/test_skip_guard_eval_unsafe 1/1 2025-12-04T09:06:30.3462201Z dynamo/test_streams 1/1 2025-12-04T09:06:30.3462399Z dynamo/test_subgraphs 1/1 2025-12-04T09:06:30.3462672Z dynamo/test_unittest 1/1 2025-12-04T09:06:30.3462911Z dynamo/test_verify_correctness 1/1 2025-12-04T09:06:30.3463146Z functorch/test_ac 1/1 2025-12-04T09:06:30.3463410Z optim/test_optim 1/1 2025-12-04T09:06:30.3463644Z test_appending_byte_serializer 1/1 2025-12-04T09:06:30.3463871Z test_cuda_sanitizer 1/1 2025-12-04T09:06:30.3464126Z test_opaque_obj_v2 1/1 2025-12-04T09:06:30.3464372Z test_unary_ufuncs 2/2 2025-12-04T09:06:30.3464562Z xpu/test_conv 1/1 2025-12-04T09:06:30.3464757Z Name: excluded (est. time: 0.0min) 2025-12-04T09:06:30.3465014Z Serial tests (0): 2025-12-04T09:06:30.3465197Z Parallel tests (0): 2025-12-04T09:06:30.3465532Z Running distributions/test_distributions 1/3 ... [2025-12-04 09:06:30.344667][726.044471963] 2025-12-04T09:06:30.3465974Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:06:30.3466803Z Executing ['/opt/conda/envs/py_3.11/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 09:06:30.344967] 2025-12-04T09:10:02.8928796Z 2025-12-04T09:10:02.8929664Z distributions/test_distributions 1/3 was successful, full logs can be found in artifacts with path test/test-reports/distributions.test_distributions_1.3_2346e95330f2f61f_.log 2025-12-04T09:10:02.8958262Z 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 2025-12-04T09:10:02.8985588Z 2025-12-04T09:10:02.8986026Z Finished distributions/test_distributions 1/3 ... [2025-12-04 09:10:02.892691][938.592493602], took 3.54min 2025-12-04T09:10:02.8987245Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/distributions.test_distributions/distributions.test_distributions-83674df0491c9db3.xml 2025-12-04T09:10:03.2165169Z Uploading artifacts took 0.16 seconds 2025-12-04T09:10:03.2165846Z Running distributions/test_distributions 3/3 ... [2025-12-04 09:10:03.216050][938.915849509] 2025-12-04T09:10:03.2166342Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:03.2167083Z Executing ['/opt/conda/envs/py_3.11/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 09:10:03.216443] 2025-12-04T09:12:12.6687231Z 2025-12-04T09:12:12.6688096Z distributions/test_distributions 3/3 was successful, full logs can be found in artifacts with path test/test-reports/distributions.test_distributions_3.3_35b8f2da79f687b4_.log 2025-12-04T09:12:12.6705428Z 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 2025-12-04T09:12:12.6721783Z 2025-12-04T09:12:12.6721987Z Finished distributions/test_distributions 3/3 ... [2025-12-04 09:12:12.668282][1068.368083007], took 2.16min 2025-12-04T09:12:12.6722762Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/distributions.test_distributions/distributions.test_distributions-5eff7594cf468b17.xml 2025-12-04T09:12:12.7388825Z Running doctests 1/1 ... [2025-12-04 09:12:12.738236][1068.438038643] 2025-12-04T09:12:13.2821414Z msg = Cannot scrape callname=Library.fallback in modpath=/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/library.py line=368. 2025-12-04T09:12:13.2821929Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:12:13.2822291Z Registers the function implementation as the fallback for the given key. 2025-12-04T09:12:13.2822531Z 2025-12-04T09:12:13.2822660Z This function only works for a library with global namespace ("_"). 2025-12-04T09:12:13.2822867Z 2025-12-04T09:12:13.2822928Z Args: 2025-12-04T09:12:13.2823178Z fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel` 2025-12-04T09:12:13.2823463Z to register a fallthrough. 2025-12-04T09:12:13.2823772Z dispatch_key: dispatch key that the input function should be registered for. By default, it uses 2025-12-04T09:12:13.2824107Z the dispatch key that the library was created with. 2025-12-04T09:12:13.2824460Z with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument 2025-12-04T09:12:13.2824911Z to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls. 2025-12-04T09:12:13.2825147Z 2025-12-04T09:12:13.2825252Z Example:: 2025-12-04T09:12:13.2825344Z 2025-12-04T09:12:13.2825425Z >>> my_lib = Library("_", "IMPL") 2025-12-04T09:12:13.2825637Z >>> def fallback_kernel(op, *args, **kwargs): 2025-12-04T09:12:13.2825862Z >>> # Handle all autocast ops generically 2025-12-04T09:12:13.2826062Z >>> # ... 2025-12-04T09:12:13.2826251Z >>> my_lib.fallback(fallback_kernel, "Autocast") 2025-12-04T09:12:13.2826444Z 2025-12-04T09:12:13.2826853Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 5, 1, 'my_lib.fallback(fallback_kernel, "Autocast")\n', 5, 7)) 2025-12-04T09:12:13.2827222Z 2025-12-04T09:12:13.2827313Z my_lib.fallback(fallback_kernel, "Autocast") 2025-12-04T09:12:13.2827498Z ^ 2025-12-04T09:12:13.2902803Z msg = Cannot scrape callname=register_fake in modpath=/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/library.py line=958. 2025-12-04T09:12:13.2903412Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:12:13.2903820Z Register a FakeTensor implementation ("fake impl") for this operator. 2025-12-04T09:12:13.2904069Z 2025-12-04T09:12:13.2904210Z Also sometimes known as a "meta kernel", "abstract impl". 2025-12-04T09:12:13.2904401Z 2025-12-04T09:12:13.2904571Z An "FakeTensor implementation" specifies the behavior of this operator on 2025-12-04T09:12:13.2904959Z Tensors that carry no data ("FakeTensor"). Given some input Tensors with 2025-12-04T09:12:13.2905332Z certain properties (sizes/strides/storage_offset/device), it specifies 2025-12-04T09:12:13.2905664Z what the properties of the output Tensors are. 2025-12-04T09:12:13.2905832Z 2025-12-04T09:12:13.2905987Z The FakeTensor implementation has the same signature as the operator. 2025-12-04T09:12:13.2906407Z It is run for both FakeTensors and meta tensors. To write a FakeTensor 2025-12-04T09:12:13.2907075Z implementation, assume that all Tensor inputs to the operator are 2025-12-04T09:12:13.2907382Z regular CPU/CUDA/Meta tensors, but they do not have storage, and 2025-12-04T09:12:13.2907781Z you are trying to return regular CPU/CUDA/Meta tensor(s) as output. 2025-12-04T09:12:13.2908086Z The FakeTensor implementation must consist of only PyTorch operations 2025-12-04T09:12:13.2908387Z (and may not directly access the storage or data of any input or 2025-12-04T09:12:13.2908616Z intermediate Tensors). 2025-12-04T09:12:13.2908733Z 2025-12-04T09:12:13.2908831Z This API may be used as a decorator (see examples). 2025-12-04T09:12:13.2908978Z 2025-12-04T09:12:13.2909076Z For a detailed guide on custom ops, please see 2025-12-04T09:12:13.2909368Z https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html 2025-12-04T09:12:13.2909559Z 2025-12-04T09:12:13.2909617Z Args: 2025-12-04T09:12:13.2909829Z op_name: Operator name (along with the overload) or OpOverload object. 2025-12-04T09:12:13.2910092Z func: Fake tensor implementation. 2025-12-04T09:12:13.2910330Z lib (Optional[Library]): Library to register the fake tensor to. 2025-12-04T09:12:13.2910618Z allow_override: Flag controlling if we want to override an 2025-12-04T09:12:13.2910893Z existing registered fake impl. This is by default off, 2025-12-04T09:12:13.2911156Z and will error you're trying to register a fake impl to 2025-12-04T09:12:13.2911425Z an operator that already has a fake impl. This also only 2025-12-04T09:12:13.2911690Z applies if the custom operator was not created via 2025-12-04T09:12:13.2911963Z torch.library.custom_op, as overriding and existing fake 2025-12-04T09:12:13.2912204Z impl is already allowed. 2025-12-04T09:12:13.2912348Z 2025-12-04T09:12:13.2912405Z Examples: 2025-12-04T09:12:13.2912562Z >>> import torch 2025-12-04T09:12:13.2912728Z >>> import numpy as np 2025-12-04T09:12:13.2912915Z >>> from torch import Tensor 2025-12-04T09:12:13.2913094Z >>> 2025-12-04T09:12:13.2913286Z >>> # Example 1: an operator without data-dependent output shape 2025-12-04T09:12:13.2913586Z >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=()) 2025-12-04T09:12:13.2913895Z >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-12-04T09:12:13.2914197Z >>> raise NotImplementedError("Implementation goes here") 2025-12-04T09:12:13.2914406Z >>> 2025-12-04T09:12:13.2914598Z >>> @torch.library.register_fake("mylib::custom_linear") 2025-12-04T09:12:13.2914826Z >>> def _(x, weight, bias): 2025-12-04T09:12:13.2915011Z >>> assert x.dim() == 2 2025-12-04T09:12:13.2915204Z >>> assert weight.dim() == 2 2025-12-04T09:12:13.2915398Z >>> assert bias.dim() == 1 2025-12-04T09:12:13.2915603Z >>> assert x.shape[1] == weight.shape[1] 2025-12-04T09:12:13.2915834Z >>> assert weight.shape[0] == bias.shape[0] 2025-12-04T09:12:13.2916054Z >>> assert x.device == weight.device 2025-12-04T09:12:13.2916237Z >>> 2025-12-04T09:12:13.2916385Z >>> return (x @ weight.t()) + bias 2025-12-04T09:12:13.2916565Z >>> 2025-12-04T09:12:13.2916751Z >>> with torch._subclasses.fake_tensor.FakeTensorMode(): 2025-12-04T09:12:13.2916972Z >>> x = torch.randn(2, 3) 2025-12-04T09:12:13.2917160Z >>> w = torch.randn(3, 3) 2025-12-04T09:12:13.2917342Z >>> b = torch.randn(3) 2025-12-04T09:12:13.2917540Z >>> y = torch.ops.mylib.custom_linear(x, w, b) 2025-12-04T09:12:13.2917736Z >>> 2025-12-04T09:12:13.2917885Z >>> assert y.shape == (2, 3) 2025-12-04T09:12:13.2918055Z >>> 2025-12-04T09:12:13.2918228Z >>> # Example 2: an operator with data-dependent output shape 2025-12-04T09:12:13.2918565Z >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=()) 2025-12-04T09:12:13.2918827Z >>> def custom_nonzero(x: Tensor) -> Tensor: 2025-12-04T09:12:13.2919096Z >>> x_np = x.numpy(force=True) 2025-12-04T09:12:13.2919309Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-12-04T09:12:13.2919531Z >>> return torch.tensor(res, device=x.device) 2025-12-04T09:12:13.2919717Z >>> 2025-12-04T09:12:13.2919906Z >>> @torch.library.register_fake("mylib::custom_nonzero") 2025-12-04T09:12:13.2920119Z >>> def _(x): 2025-12-04T09:12:13.2920311Z >>> # Number of nonzero-elements is data-dependent. 2025-12-04T09:12:13.2920546Z >>> # Since we cannot peek at the data in an fake impl, 2025-12-04T09:12:13.2920797Z >>> # we use the ctx object to construct a new symint that 2025-12-04T09:12:13.2921032Z >>> # represents the data-dependent size. 2025-12-04T09:12:13.2921237Z >>> ctx = torch.library.get_ctx() 2025-12-04T09:12:13.2921445Z >>> nnz = ctx.new_dynamic_size() 2025-12-04T09:12:13.2921649Z >>> shape = [nnz, x.dim()] 2025-12-04T09:12:13.2921870Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-12-04T09:12:13.2922073Z >>> return result 2025-12-04T09:12:13.2922234Z >>> 2025-12-04T09:12:13.2922420Z >>> from torch.fx.experimental.proxy_tensor import make_fx 2025-12-04T09:12:13.2922628Z >>> 2025-12-04T09:12:13.2922783Z >>> x = torch.tensor([0, 1, 2, 3, 4, 0]) 2025-12-04T09:12:13.2923055Z >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x) 2025-12-04T09:12:13.2923315Z >>> trace.print_readable() 2025-12-04T09:12:13.2923485Z >>> 2025-12-04T09:12:13.2923687Z >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x)) 2025-12-04T09:12:13.2923866Z 2025-12-04T09:12:13.2923928Z 2025-12-04T09:12:13.2924273Z Original Error: IndentationError('expected an indented block after function definition on line 37', ('', 38, 1, '_._ = None\n', 38, 2)) 2025-12-04T09:12:13.2924602Z 2025-12-04T09:12:13.2924660Z _._ = None 2025-12-04T09:12:13.2924793Z ^ 2025-12-04T09:12:13.2995777Z msg = Cannot scrape callname=get_kernel in modpath=/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/library.py line=1530. 2025-12-04T09:12:13.2996282Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:12:13.2996619Z Returns the computed kernel for a given operator and dispatch key. 2025-12-04T09:12:13.2996794Z 2025-12-04T09:12:13.2996944Z This function retrieves the kernel that would be executed for a given 2025-12-04T09:12:13.2997275Z operator and dispatch key combination. The returned SafeKernelFunction 2025-12-04T09:12:13.2997577Z can be used to call the kernel in a boxed fashion. The intended use 2025-12-04T09:12:13.2997867Z case for this function is to retrieve the original kernel for a given 2025-12-04T09:12:13.2998190Z dispatch key and then register another kernel to the same dispatch key 2025-12-04T09:12:13.2998472Z that calls into the original kernel for certain cases. 2025-12-04T09:12:13.2998641Z 2025-12-04T09:12:13.2998702Z Args: 2025-12-04T09:12:13.2998904Z op: Operator name (along with the overload) or OpOverload object 2025-12-04T09:12:13.2999242Z Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef. 2025-12-04T09:12:13.2999581Z dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for. 2025-12-04T09:12:13.2999893Z Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value. 2025-12-04T09:12:13.3000071Z 2025-12-04T09:12:13.3000132Z Returns: 2025-12-04T09:12:13.3000358Z torch._C._SafeKernelFunction: A safe kernel function that can be used to 2025-12-04T09:12:13.3000623Z call the kernel. 2025-12-04T09:12:13.3000732Z 2025-12-04T09:12:13.3000789Z Raises: 2025-12-04T09:12:13.3000968Z RuntimeError: If the operator does not exist. 2025-12-04T09:12:13.3001261Z 2025-12-04T09:12:13.3001336Z Example: 2025-12-04T09:12:13.3001543Z >>> # Get the CPU kernel for torch.add 2025-12-04T09:12:13.3001804Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU") 2025-12-04T09:12:13.3002278Z >>> 2025-12-04T09:12:13.3002438Z >>> # You can also use DispatchKey enum 2025-12-04T09:12:13.3002721Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU) 2025-12-04T09:12:13.3002974Z >>> 2025-12-04T09:12:13.3003127Z >>> # Or use an OpOverload directly 2025-12-04T09:12:13.3003374Z >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU") 2025-12-04T09:12:13.3003609Z >>> 2025-12-04T09:12:13.3003808Z >>> # Example: Using get_kernel in a custom op with conditional dispatch 2025-12-04T09:12:13.3004058Z >>> # Get the original kernel for torch.sin 2025-12-04T09:12:13.3004325Z >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU") 2025-12-04T09:12:13.3004556Z >>> 2025-12-04T09:12:13.3004758Z >>> # If input has negative values, use original sin, otherwise return zeros 2025-12-04T09:12:13.3005036Z >>> def conditional_sin_impl(dispatch_keys, x): 2025-12-04T09:12:13.3005241Z >>> if (x < 0).any(): 2025-12-04T09:12:13.3005466Z >>> return original_sin_kernel.call_boxed(dispatch_keys, x) 2025-12-04T09:12:13.3005683Z >>> else: 2025-12-04T09:12:13.3005855Z >>> return torch.zeros_like(x) 2025-12-04T09:12:13.3006040Z >>> 2025-12-04T09:12:13.3006200Z >>> lib = torch.library.Library("aten", "IMPL") 2025-12-04T09:12:13.3006489Z >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet 2025-12-04T09:12:13.3006804Z >>> which needs to be the first argument to ``kernel.call_boxed`` 2025-12-04T09:12:13.3007085Z >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True) 2025-12-04T09:12:13.3007305Z >>> 2025-12-04T09:12:13.3007457Z >>> # Test the conditional behavior 2025-12-04T09:12:13.3007668Z >>> x_positive = torch.tensor([1.0, 2.0]) 2025-12-04T09:12:13.3007872Z >>> x_mixed = torch.tensor([-1.0, 2.0]) 2025-12-04T09:12:13.3008073Z >>> torch.sin(x_positive) 2025-12-04T09:12:13.3008254Z tensor([0., 0.]) 2025-12-04T09:12:13.3008417Z >>> torch.sin(x_mixed) 2025-12-04T09:12:13.3008593Z tensor([-0.8415, 0.9093]) 2025-12-04T09:12:13.3008760Z 2025-12-04T09:12:13.3009085Z Original Error: SyntaxError('invalid syntax', ('', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n', 23, 12)) 2025-12-04T09:12:13.3009393Z 2025-12-04T09:12:13.3009503Z which needs to be the first argument to ``kernel.call_boxed`` 2025-12-04T09:12:13.3009717Z ^ 2025-12-04T09:12:13.5275217Z msg = Cannot scrape callname=is_available in modpath=/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/accelerator/__init__.py line=70. 2025-12-04T09:12:13.5275757Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:12:13.5276133Z Check if the current accelerator is available at runtime: it was build, all the 2025-12-04T09:12:13.5276465Z required drivers are available and at least one device is visible. 2025-12-04T09:12:13.5276742Z See :ref:`accelerator` for details. 2025-12-04T09:12:13.5276890Z 2025-12-04T09:12:13.5276952Z Returns: 2025-12-04T09:12:13.5277199Z bool: A boolean indicating if there is an available :ref:`accelerator`. 2025-12-04T09:12:13.5277409Z 2025-12-04T09:12:13.5277603Z .. note:: This API delegates to the device-specific version of `is_available`. 2025-12-04T09:12:13.5277946Z On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set, 2025-12-04T09:12:13.5278280Z this function will NOT poison fork. Otherwise, it will. For more details, see 2025-12-04T09:12:13.5278927Z :ref:`multiprocessing-poison-fork-note`. 2025-12-04T09:12:13.5279086Z 2025-12-04T09:12:13.5279277Z Example:: 2025-12-04T09:12:13.5279364Z 2025-12-04T09:12:13.5279518Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:12:13.5279787Z 2025-12-04T09:12:13.5280158Z Original Error: SyntaxError('invalid syntax', ('', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78)) 2025-12-04T09:12:13.5280494Z 2025-12-04T09:12:13.5280643Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:12:13.5280903Z ^ 2025-12-04T09:12:13.5286419Z msg = Cannot scrape callname=synchronize in modpath=/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/accelerator/__init__.py line=239. 2025-12-04T09:12:13.5286949Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:12:13.5287290Z Wait for all kernels in all streams on the given device to complete. 2025-12-04T09:12:13.5287466Z 2025-12-04T09:12:13.5287532Z Args: 2025-12-04T09:12:13.5287803Z device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match 2025-12-04T09:12:13.5288164Z the current :ref:`accelerator` device type. If not given, 2025-12-04T09:12:13.5288471Z use :func:`torch.accelerator.current_device_index` by default. 2025-12-04T09:12:13.5288640Z 2025-12-04T09:12:13.5288827Z .. note:: This function is a no-op if the current :ref:`accelerator` is not initialized. 2025-12-04T09:12:13.5289058Z 2025-12-04T09:12:13.5289119Z Example:: 2025-12-04T09:12:13.5289215Z 2025-12-04T09:12:13.5289306Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-12-04T09:12:13.5289601Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:12:13.5289894Z >>> start_event = torch.Event(enable_timing=True) 2025-12-04T09:12:13.5290126Z >>> end_event = torch.Event(enable_timing=True) 2025-12-04T09:12:13.5290348Z >>> start_event.record() 2025-12-04T09:12:13.5290600Z >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator()) 2025-12-04T09:12:13.5290866Z >>> sum = torch.sum(tensor) 2025-12-04T09:12:13.5291059Z >>> end_event.record() 2025-12-04T09:12:13.5291262Z >>> torch.accelerator.synchronize() 2025-12-04T09:12:13.5291504Z >>> elapsed_time_ms = start_event.elapsed_time(end_event) 2025-12-04T09:12:13.5291724Z 2025-12-04T09:12:13.5292105Z Original Error: SyntaxError('invalid syntax', ('', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78)) 2025-12-04T09:12:13.5292461Z 2025-12-04T09:12:13.5292605Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:12:13.5292869Z ^ 2025-12-04T09:12:13.5479402Z msg = Cannot scrape callname=cudart in modpath=/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/cuda/__init__.py line=448. 2025-12-04T09:12:13.5480114Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:12:13.5480396Z Retrieves the CUDA runtime API module. 2025-12-04T09:12:13.5480559Z 2025-12-04T09:12:13.5480562Z 2025-12-04T09:12:13.5480710Z This function initializes the CUDA runtime environment if it is not already 2025-12-04T09:12:13.5481049Z initialized and returns the CUDA runtime API module (_cudart). The CUDA 2025-12-04T09:12:13.5481363Z runtime API module provides access to various CUDA runtime functions. 2025-12-04T09:12:13.5481544Z 2025-12-04T09:12:13.5481611Z Args: 2025-12-04T09:12:13.5481746Z ``None`` 2025-12-04T09:12:13.5481842Z 2025-12-04T09:12:13.5481898Z Returns: 2025-12-04T09:12:13.5482073Z module: The CUDA runtime API module (_cudart). 2025-12-04T09:12:13.5482216Z 2025-12-04T09:12:13.5482270Z Raises: 2025-12-04T09:12:13.5482734Z RuntimeError: If CUDA cannot be re-initialized in a forked subprocess. 2025-12-04T09:12:13.5483205Z AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable. 2025-12-04T09:12:13.5483456Z 2025-12-04T09:12:13.5483554Z Example of CUDA operations with profiling: 2025-12-04T09:12:13.5483753Z >>> import torch 2025-12-04T09:12:13.5483949Z >>> from torch.cuda import cudart, check_error 2025-12-04T09:12:13.5484155Z >>> import os 2025-12-04T09:12:13.5484301Z >>> 2025-12-04T09:12:13.5484459Z >>> os.environ["CUDA_PROFILE"] = "1" 2025-12-04T09:12:13.5484645Z >>> 2025-12-04T09:12:13.5484804Z >>> def perform_cuda_operations_with_streams(): 2025-12-04T09:12:13.5485021Z >>> stream = torch.cuda.Stream() 2025-12-04T09:12:13.5485232Z >>> with torch.cuda.stream(stream): 2025-12-04T09:12:13.5485443Z >>> x = torch.randn(100, 100, device='cuda') 2025-12-04T09:12:13.5485663Z >>> y = torch.randn(100, 100, device='cuda') 2025-12-04T09:12:13.5485869Z >>> z = torch.mul(x, y) 2025-12-04T09:12:13.5486047Z >>> return z 2025-12-04T09:12:13.5486200Z >>> 2025-12-04T09:12:13.5486350Z >>> torch.cuda.synchronize() 2025-12-04T09:12:13.5486563Z >>> print("====== Start nsys profiling ======") 2025-12-04T09:12:13.5486782Z >>> check_error(cudart().cudaProfilerStart()) 2025-12-04T09:12:13.5487011Z >>> with torch.autograd.profiler.emit_nvtx(): 2025-12-04T09:12:13.5487252Z >>> result = perform_cuda_operations_with_streams() 2025-12-04T09:12:13.5487478Z >>> print("CUDA operations completed.") 2025-12-04T09:12:13.5487717Z >>> check_error(torch.cuda.cudart().cudaProfilerStop()) 2025-12-04T09:12:13.5487951Z >>> print("====== End nsys profiling ======") 2025-12-04T09:12:13.5488083Z 2025-12-04T09:12:13.5488213Z To run this example and save the profiling information, execute: 2025-12-04T09:12:13.5488599Z >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-12-04T09:12:13.5488858Z 2025-12-04T09:12:13.5488998Z This command profiles the CUDA operations in the provided script and saves 2025-12-04T09:12:13.5489315Z the profiling information to a file named `trace_name.prof`. 2025-12-04T09:12:13.5489626Z The `--profile-from-start off` option ensures that profiling starts only 2025-12-04T09:12:13.5489904Z after the `cudaProfilerStart` call in the script. 2025-12-04T09:12:13.5490184Z The `--csv` and `--print-summary` options format the profiling output as a 2025-12-04T09:12:13.5490452Z CSV file and print a summary, respectively. 2025-12-04T09:12:13.5490727Z The `-o` option specifies the output file name, and the `-f` option forces the 2025-12-04T09:12:13.5491037Z overwrite of the output file if it already exists. 2025-12-04T09:12:13.5491305Z 2025-12-04T09:12:13.5491716Z 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)) 2025-12-04T09:12:13.5492113Z 2025-12-04T09:12:13.5492300Z $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-12-04T09:12:13.5492598Z ^ 2025-12-04T09:12:14.8535730Z msg = Cannot scrape callname=vmap in modpath=/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_functorch/apis.py line=39. 2025-12-04T09:12:14.8536275Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:12:14.8536482Z 2025-12-04T09:12:14.8536619Z vmap is the vectorizing map; ``vmap(func)`` returns a new function that 2025-12-04T09:12:14.8536936Z maps ``func`` over some dimension of the inputs. Semantically, vmap 2025-12-04T09:12:14.8537243Z pushes the map into PyTorch operations called by ``func``, effectively 2025-12-04T09:12:14.8537937Z vectorizing those operations. 2025-12-04T09:12:14.8538067Z 2025-12-04T09:12:14.8538194Z vmap is useful for handling batch dimensions: one can write a function 2025-12-04T09:12:14.8538650Z ``func`` that runs on examples and then lift it to a function that can 2025-12-04T09:12:14.8538948Z take batches of examples with ``vmap(func)``. vmap can also be used to 2025-12-04T09:12:14.8539233Z compute batched gradients when composed with autograd. 2025-12-04T09:12:14.8539405Z 2025-12-04T09:12:14.8539513Z .. note:: 2025-12-04T09:12:14.8539720Z :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for 2025-12-04T09:12:14.8540175Z convenience. Use whichever one you'd like. 2025-12-04T09:12:14.8540400Z 2025-12-04T09:12:14.8540482Z Args: 2025-12-04T09:12:14.8540772Z func (function): A Python function that takes one or more arguments. 2025-12-04T09:12:14.8541075Z Must return one or more Tensors. 2025-12-04T09:12:14.8541357Z in_dims (int or nested structure): Specifies which dimension of the 2025-12-04T09:12:14.8541698Z inputs should be mapped over. ``in_dims`` should have a 2025-12-04T09:12:14.8541986Z structure like the inputs. If the ``in_dim`` for a particular 2025-12-04T09:12:14.8542281Z input is None, then that indicates there is no map dimension. 2025-12-04T09:12:14.8542506Z Default: 0. 2025-12-04T09:12:14.8542725Z out_dims (int or Tuple[int]): Specifies where the mapped dimension 2025-12-04T09:12:14.8543015Z should appear in the outputs. If ``out_dims`` is a Tuple, then 2025-12-04T09:12:14.8543277Z it should have one element per output. Default: 0. 2025-12-04T09:12:14.8543548Z randomness (str): Specifies whether the randomness in this 2025-12-04T09:12:14.8543846Z vmap should be the same or different across batches. If 'different', 2025-12-04T09:12:14.8544156Z the randomness for each batch will be different. If 'same', the 2025-12-04T09:12:14.8544441Z randomness will be the same across batches. If 'error', any calls to 2025-12-04T09:12:14.8544747Z random functions will error. Default: 'error'. WARNING: this flag 2025-12-04T09:12:14.8545052Z only applies to random PyTorch operations and does not apply to 2025-12-04T09:12:14.8545302Z Python's random module or numpy randomness. 2025-12-04T09:12:14.8545602Z chunk_size (None or int): If None (default), apply a single vmap over inputs. 2025-12-04T09:12:14.8545913Z If not None, then compute the vmap :attr:`chunk_size` samples at a time. 2025-12-04T09:12:14.8546241Z Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop. 2025-12-04T09:12:14.8546585Z If you run into memory issues computing the vmap, please try a non-None chunk_size. 2025-12-04T09:12:14.8546795Z 2025-12-04T09:12:14.8546852Z Returns: 2025-12-04T09:12:14.8547044Z Returns a new "batched" function. It takes the same inputs as 2025-12-04T09:12:14.8547354Z ``func``, except each input has an extra dimension at the index 2025-12-04T09:12:14.8547627Z specified by ``in_dims``. It takes returns the same outputs as 2025-12-04T09:12:14.8547906Z ``func``, except each output has an extra dimension at the index 2025-12-04T09:12:14.8548143Z specified by ``out_dims``. 2025-12-04T09:12:14.8548254Z 2025-12-04T09:12:14.8548321Z .. warning: 2025-12-04T09:12:14.8548515Z :func:`vmap` works best with functional-style code. Please do not 2025-12-04T09:12:14.8548802Z perform any side-effects in ``func``, with the exception of 2025-12-04T09:12:14.8549111Z in-place PyTorch operations. Examples of side-effects include mutating 2025-12-04T09:12:14.8549428Z Python data structures and assigning values to variables not captured 2025-12-04T09:12:14.8549677Z in ``func``. 2025-12-04T09:12:14.8549766Z 2025-12-04T09:12:14.8549905Z One example of using :func:`vmap` is to compute batched dot products. PyTorch 2025-12-04T09:12:14.8550220Z doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully 2025-12-04T09:12:14.8550691Z rummaging through docs, use :func:`vmap` to construct a new function. 2025-12-04T09:12:14.8550923Z 2025-12-04T09:12:14.8551021Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:12:14.8551282Z >>> batched_dot = torch.func.vmap(torch.dot) # [N, D], [N, D] -> [N] 2025-12-04T09:12:14.8551573Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-12-04T09:12:14.8551781Z >>> batched_dot(x, y) 2025-12-04T09:12:14.8551885Z 2025-12-04T09:12:14.8552058Z :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler 2025-12-04T09:12:14.8552403Z model authoring experience. 2025-12-04T09:12:14.8552548Z 2025-12-04T09:12:14.8552632Z >>> batch_size, feature_size = 3, 5 2025-12-04T09:12:14.8552858Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-12-04T09:12:14.8553071Z >>> 2025-12-04T09:12:14.8553208Z >>> def model(feature_vec): 2025-12-04T09:12:14.8553398Z >>> # Very simple linear model with activation 2025-12-04T09:12:14.8553624Z >>> return feature_vec.dot(weights).relu() 2025-12-04T09:12:14.8553804Z >>> 2025-12-04T09:12:14.8553977Z >>> examples = torch.randn(batch_size, feature_size) 2025-12-04T09:12:14.8554208Z >>> result = torch.vmap(model)(examples) 2025-12-04T09:12:14.8554335Z 2025-12-04T09:12:14.8554484Z :func:`vmap` can also help vectorize computations that were previously difficult 2025-12-04T09:12:14.8554806Z or impossible to batch. One example is higher-order gradient computation. 2025-12-04T09:12:14.8555130Z The PyTorch autograd engine computes vjps (vector-Jacobian products). 2025-12-04T09:12:14.8555444Z Computing a full Jacobian matrix for some function f: R^N -> R^N usually 2025-12-04T09:12:14.8555763Z requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`, 2025-12-04T09:12:14.8556091Z we can vectorize the whole computation, computing the Jacobian in a single 2025-12-04T09:12:14.8556343Z call to ``autograd.grad``. 2025-12-04T09:12:14.8556449Z 2025-12-04T09:12:14.8556515Z >>> # Setup 2025-12-04T09:12:14.8556654Z >>> N = 5 2025-12-04T09:12:14.8556804Z >>> f = lambda x: x**2 2025-12-04T09:12:14.8556990Z >>> x = torch.randn(N, requires_grad=True) 2025-12-04T09:12:14.8557171Z >>> y = f(x) 2025-12-04T09:12:14.8557321Z >>> I_N = torch.eye(N) 2025-12-04T09:12:14.8557477Z >>> 2025-12-04T09:12:14.8557609Z >>> # Sequential approach 2025-12-04T09:12:14.8557846Z >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0] 2025-12-04T09:12:14.8558100Z >>> for v in I_N.unbind()] 2025-12-04T09:12:14.8558302Z >>> jacobian = torch.stack(jacobian_rows) 2025-12-04T09:12:14.8558489Z >>> 2025-12-04T09:12:14.8558637Z >>> # vectorized gradient computation 2025-12-04T09:12:14.8558821Z >>> def get_vjp(v): 2025-12-04T09:12:14.8559003Z >>> return torch.autograd.grad(y, x, v) 2025-12-04T09:12:14.8559212Z >>> jacobian = torch.vmap(get_vjp)(I_N) 2025-12-04T09:12:14.8559338Z 2025-12-04T09:12:14.8559500Z :func:`vmap` can also be nested, producing an output with multiple batched dimensions 2025-12-04T09:12:14.8559698Z 2025-12-04T09:12:14.8559770Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:12:14.8559958Z >>> batched_dot = torch.vmap( 2025-12-04T09:12:14.8560146Z ... torch.vmap(torch.dot) 2025-12-04T09:12:14.8560330Z ... ) # [N1, N0, D], [N1, N0, D] -> [N1, N0] 2025-12-04T09:12:14.8560552Z >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5) 2025-12-04T09:12:14.8560777Z >>> batched_dot(x, y) # tensor of size [2, 3] 2025-12-04T09:12:14.8560908Z 2025-12-04T09:12:14.8561050Z If the inputs are not batched along the first dimension, ``in_dims`` specifies 2025-12-04T09:12:14.8561326Z the dimension that each inputs are batched along as 2025-12-04T09:12:14.8561477Z 2025-12-04T09:12:14.8561544Z >>> torch.dot # [N], [N] -> [] 2025-12-04T09:12:14.8561783Z >>> batched_dot = torch.vmap(torch.dot, in_dims=1) # [N, D], [N, D] -> [D] 2025-12-04T09:12:14.8562035Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-12-04T09:12:14.8562281Z >>> batched_dot( 2025-12-04T09:12:14.8562440Z ... x, y 2025-12-04T09:12:14.8562670Z ... ) # output is [5] instead of [2] if batched along the 0th dimension 2025-12-04T09:12:14.8562847Z 2025-12-04T09:12:14.8562993Z If there are multiple inputs each of which is batched along different dimensions, 2025-12-04T09:12:14.8563326Z ``in_dims`` must be a tuple with the batch dimension for each input as 2025-12-04T09:12:14.8563490Z 2025-12-04T09:12:14.8563563Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:12:14.8563812Z >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None)) # [N, D], [D] -> [N] 2025-12-04T09:12:14.8564079Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-12-04T09:12:14.8564268Z >>> batched_dot( 2025-12-04T09:12:14.8564421Z ... x, y 2025-12-04T09:12:14.8564613Z ... ) # second arg doesn't have a batch dim because in_dim[1] was None 2025-12-04T09:12:14.8564786Z 2025-12-04T09:12:14.8564922Z If the input is a Python struct, ``in_dims`` must be a tuple containing a struct 2025-12-04T09:12:14.8565178Z matching the shape of the input: 2025-12-04T09:12:14.8565299Z 2025-12-04T09:12:14.8565390Z >>> f = lambda dict: torch.dot(dict["x"], dict["y"]) 2025-12-04T09:12:14.8565610Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-12-04T09:12:14.8565807Z >>> input = {"x": x, "y": y} 2025-12-04T09:12:14.8566021Z >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},)) 2025-12-04T09:12:14.8566244Z >>> batched_dot(input) 2025-12-04T09:12:14.8566353Z 2025-12-04T09:12:14.8566506Z By default, the output is batched along the first dimension. However, it can be batched 2025-12-04T09:12:14.8566790Z along any dimension by using ``out_dims`` 2025-12-04T09:12:14.8566918Z 2025-12-04T09:12:14.8566981Z >>> f = lambda x: x**2 2025-12-04T09:12:14.8567151Z >>> x = torch.randn(2, 5) 2025-12-04T09:12:14.8567340Z >>> batched_pow = torch.vmap(f, out_dims=1) 2025-12-04T09:12:14.8567531Z >>> batched_pow(x) # [5, 2] 2025-12-04T09:12:14.8567655Z 2025-12-04T09:12:14.8567818Z For any function that uses kwargs, the returned function will not batch the kwargs but will 2025-12-04T09:12:14.8568095Z accept kwargs 2025-12-04T09:12:14.8568179Z 2025-12-04T09:12:14.8568251Z >>> x = torch.randn([2, 5]) 2025-12-04T09:12:14.8568420Z >>> def fn(x, scale=4.): 2025-12-04T09:12:14.8568589Z >>> return x * scale 2025-12-04T09:12:14.8568744Z >>> 2025-12-04T09:12:14.8568884Z >>> batched_pow = torch.vmap(fn) 2025-12-04T09:12:14.8569096Z >>> assert torch.allclose(batched_pow(x), x * 4) 2025-12-04T09:12:14.8569368Z >>> batched_pow(x, scale=x) # scale is not batched, output has shape [2, 2, 5] 2025-12-04T09:12:14.8569549Z 2025-12-04T09:12:14.8569623Z .. note:: 2025-12-04T09:12:14.8569835Z vmap does not provide general autobatching or handle variable-length 2025-12-04T09:12:14.8570092Z sequences out of the box. 2025-12-04T09:12:14.8570201Z 2025-12-04T09:12:14.8570485Z Original Error: IndentationError('expected an indented block after function definition on line 4', ('', 5, 1, '_._ = None\n', 5, 2)) 2025-12-04T09:12:14.8570807Z 2025-12-04T09:12:14.8570862Z _._ = None 2025-12-04T09:12:14.8570998Z ^ 2025-12-04T09:12:14.8571350Z msg = Cannot scrape callname=grad in modpath=/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_functorch/apis.py line=306. 2025-12-04T09:12:14.8571789Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:12:14.8572119Z ``grad`` operator helps computing gradients of ``func`` with respect to the 2025-12-04T09:12:14.8572415Z input(s) specified by ``argnums``. This operator can be nested to 2025-12-04T09:12:14.8572655Z compute higher-order gradients. 2025-12-04T09:12:14.8572775Z 2025-12-04T09:12:14.8572837Z Args: 2025-12-04T09:12:14.8573027Z func (Callable): A Python function that takes one or more arguments. 2025-12-04T09:12:14.8573350Z Must return a single-element Tensor. If specified ``has_aux`` equals ``True``, 2025-12-04T09:12:14.8573735Z function can return a tuple of single-element Tensor and other auxiliary objects: 2025-12-04T09:12:14.8574043Z ``(output, aux)``. 2025-12-04T09:12:14.8574302Z argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to. 2025-12-04T09:12:14.8574632Z ``argnums`` can be single integer or tuple of integers. Default: 0. 2025-12-04T09:12:14.8574933Z has_aux (bool): Flag indicating that ``func`` returns a tensor and other 2025-12-04T09:12:14.8575211Z auxiliary objects: ``(output, aux)``. Default: False. 2025-12-04T09:12:14.8575373Z 2025-12-04T09:12:14.8575429Z Returns: 2025-12-04T09:12:14.8575675Z Function to compute gradients with respect to its inputs. By default, the output of 2025-12-04T09:12:14.8576023Z the function is the gradient tensor(s) with respect to the first argument. 2025-12-04T09:12:14.8576362Z If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects 2025-12-04T09:12:14.8576718Z is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with 2025-12-04T09:12:14.8577020Z respect to each ``argnums`` value is returned. 2025-12-04T09:12:14.8577160Z 2025-12-04T09:12:14.8577228Z Example of using ``grad``: 2025-12-04T09:12:14.8577344Z 2025-12-04T09:12:14.8577411Z >>> # xdoctest: +SKIP 2025-12-04T09:12:14.8577595Z >>> from torch.func import grad 2025-12-04T09:12:14.8577787Z >>> x = torch.randn([]) 2025-12-04T09:12:14.8577975Z >>> cos_x = grad(lambda x: torch.sin(x))(x) 2025-12-04T09:12:14.8578196Z >>> assert torch.allclose(cos_x, x.cos()) 2025-12-04T09:12:14.8578387Z >>> 2025-12-04T09:12:14.8578527Z >>> # Second-order gradients 2025-12-04T09:12:14.8578744Z >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x) 2025-12-04T09:12:14.8578983Z >>> assert torch.allclose(neg_sin_x, -x.sin()) 2025-12-04T09:12:14.8579120Z 2025-12-04T09:12:14.8579268Z When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients: 2025-12-04T09:12:14.8579478Z 2025-12-04T09:12:14.8579546Z >>> # xdoctest: +SKIP 2025-12-04T09:12:14.8579763Z >>> from torch.func import grad, vmap 2025-12-04T09:12:14.8580133Z >>> batch_size, feature_size = 3, 5 2025-12-04T09:12:14.8580340Z >>> 2025-12-04T09:12:14.8580521Z >>> def model(weights, feature_vec): 2025-12-04T09:12:14.8580775Z >>> # Very simple linear model with activation 2025-12-04T09:12:14.8581018Z >>> assert feature_vec.dim() == 1 2025-12-04T09:12:14.8581269Z >>> return feature_vec.dot(weights).relu() 2025-12-04T09:12:14.8581459Z >>> 2025-12-04T09:12:14.8581621Z >>> def compute_loss(weights, example, target): 2025-12-04T09:12:14.8581859Z >>> y = model(weights, example) 2025-12-04T09:12:14.8582129Z >>> return ((y - target) ** 2).mean() # MSELoss 2025-12-04T09:12:14.8582364Z >>> 2025-12-04T09:12:14.8582574Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-12-04T09:12:14.8582878Z >>> examples = torch.randn(batch_size, feature_size) 2025-12-04T09:12:14.8583139Z >>> targets = torch.randn(batch_size) 2025-12-04T09:12:14.8583377Z >>> inputs = (weights, examples, targets) 2025-12-04T09:12:14.8583692Z >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))( 2025-12-04T09:12:14.8583996Z ... *inputs 2025-12-04T09:12:14.8584165Z ... ) 2025-12-04T09:12:14.8584267Z 2025-12-04T09:12:14.8584392Z Example of using ``grad`` with ``has_aux`` and ``argnums``: 2025-12-04T09:12:14.8584591Z 2025-12-04T09:12:14.8584665Z >>> # xdoctest: +SKIP 2025-12-04T09:12:14.8584873Z >>> from torch.func import grad 2025-12-04T09:12:14.8585094Z >>> def my_loss_func(y, y_pred): 2025-12-04T09:12:14.8585339Z >>> loss_per_sample = (0.5 * y_pred - y) ** 2 2025-12-04T09:12:14.8585650Z >>> loss = loss_per_sample.mean() 2025-12-04T09:12:14.8585894Z >>> return loss, (y_pred, loss_per_sample) 2025-12-04T09:12:14.8586121Z >>> 2025-12-04T09:12:14.8586297Z >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True) 2025-12-04T09:12:14.8586548Z >>> y_true = torch.rand(4) 2025-12-04T09:12:14.8586755Z >>> y_preds = torch.rand(4, requires_grad=True) 2025-12-04T09:12:14.8586969Z >>> out = fn(y_true, y_preds) 2025-12-04T09:12:14.8587239Z >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample)) 2025-12-04T09:12:14.8587436Z 2025-12-04T09:12:14.8587506Z .. note:: 2025-12-04T09:12:14.8587696Z Using PyTorch ``torch.no_grad`` together with ``grad``. 2025-12-04T09:12:14.8587853Z 2025-12-04T09:12:14.8587957Z Case 1: Using ``torch.no_grad`` inside a function: 2025-12-04T09:12:14.8588105Z 2025-12-04T09:12:14.8588182Z >>> # xdoctest: +SKIP 2025-12-04T09:12:14.8588357Z >>> def f(x): 2025-12-04T09:12:14.8588532Z >>> with torch.no_grad(): 2025-12-04T09:12:14.8588728Z >>> c = x ** 2 2025-12-04T09:12:14.8588907Z >>> return x - c 2025-12-04T09:12:14.8589025Z 2025-12-04T09:12:14.8589146Z In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``. 2025-12-04T09:12:14.8589322Z 2025-12-04T09:12:14.8589445Z Case 2: Using ``grad`` inside ``torch.no_grad`` context manager: 2025-12-04T09:12:14.8589608Z 2025-12-04T09:12:14.8589685Z >>> # xdoctest: +SKIP 2025-12-04T09:12:14.8589865Z >>> with torch.no_grad(): 2025-12-04T09:12:14.8590053Z >>> grad(f)(x) 2025-12-04T09:12:14.8590160Z 2025-12-04T09:12:14.8590298Z In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the 2025-12-04T09:12:14.8590614Z outer one. This is because ``grad`` is a "function transform": its result 2025-12-04T09:12:14.8590945Z should not depend on the result of a context manager outside of ``f``. 2025-12-04T09:12:14.8591127Z 2025-12-04T09:12:14.8591193Z 2025-12-04T09:12:14.8591548Z Original Error: IndentationError('expected an indented block after function definition on line 5', ('', 6, 1, '_._ = None\n', 6, 2)) 2025-12-04T09:12:14.8591876Z 2025-12-04T09:12:14.8591935Z _._ = None 2025-12-04T09:12:14.8592075Z ^ 2025-12-04T09:12:17.3777888Z msg = Cannot scrape callname=CustomOpDef.register_fake in modpath=/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_library/custom_ops.py line=402. 2025-12-04T09:12:17.3778507Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:12:17.3778837Z Register a FakeTensor implementation for this custom op. 2025-12-04T09:12:17.3779084Z 2025-12-04T09:12:17.3779312Z This is necessary to get the operator to work efficiently with torch.compile. 2025-12-04T09:12:17.3779537Z 2025-12-04T09:12:17.3779726Z The Fake impl (sometimes also known as a meta kernel or abstract impl) 2025-12-04T09:12:17.3780298Z specifies the behavior of this operator on Tensors that carry no data. 2025-12-04T09:12:17.3780650Z Given some input Tensors with certain properties 2025-12-04T09:12:17.3781006Z (sizes/strides/storage_offset/device), it specifies what the properties of 2025-12-04T09:12:17.3781318Z the output Tensors are. 2025-12-04T09:12:17.3781440Z 2025-12-04T09:12:17.3781578Z Please see :func:`torch.library.register_fake` for more details. 2025-12-04T09:12:17.3781759Z 2025-12-04T09:12:17.3781820Z Args: 2025-12-04T09:12:17.3782024Z fn (Callable): The function to register as the FakeTensor 2025-12-04T09:12:17.3782260Z implementation. 2025-12-04T09:12:17.3782373Z 2025-12-04T09:12:17.3782434Z Examples: 2025-12-04T09:12:17.3782598Z >>> import torch 2025-12-04T09:12:17.3782783Z >>> import numpy as np 2025-12-04T09:12:17.3782974Z >>> from torch import Tensor 2025-12-04T09:12:17.3783616Z >>> 2025-12-04T09:12:17.3783828Z >>> # Example 1: an operator without data-dependent output shape 2025-12-04T09:12:17.3784253Z >>> @torch.library.custom_op("mylib::linear", mutates_args=()) 2025-12-04T09:12:17.3784544Z >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-12-04T09:12:17.3784802Z >>> return (x @ weight.t()) + bias 2025-12-04T09:12:17.3784997Z >>> 2025-12-04T09:12:17.3785150Z >>> @linear.register_fake 2025-12-04T09:12:17.3785347Z >>> def _(x, weight, bias): 2025-12-04T09:12:17.3785538Z >>> assert x.dim() == 2 2025-12-04T09:12:17.3785733Z >>> assert weight.dim() == 2 2025-12-04T09:12:17.3785941Z >>> assert bias.dim() == 1 2025-12-04T09:12:17.3786154Z >>> assert x.shape[1] == weight.shape[1] 2025-12-04T09:12:17.3786381Z >>> assert weight.shape[0] == bias.shape[0] 2025-12-04T09:12:17.3786602Z >>> assert x.device == weight.device 2025-12-04T09:12:17.3786837Z >>> return x.new_empty(x.size(0), weight.size(0)) 2025-12-04T09:12:17.3787045Z >>> 2025-12-04T09:12:17.3787196Z >>> x = torch.randn(2, 2) 2025-12-04T09:12:17.3787392Z >>> weight = torch.randn(2, 2) 2025-12-04T09:12:17.3787586Z >>> bias = torch.randn(2) 2025-12-04T09:12:17.3787822Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:12:17.3788075Z >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias) 2025-12-04T09:12:17.3788334Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:12:17.3788618Z >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias)) 2025-12-04T09:12:17.3788869Z >>> 2025-12-04T09:12:17.3789072Z >>> # Example 2: an operator with data-dependent output shape 2025-12-04T09:12:17.3789359Z >>> @torch.library.custom_op("mylib::nonzero", mutates_args=()) 2025-12-04T09:12:17.3789616Z >>> def nonzero(x: Tensor) -> Tensor: 2025-12-04T09:12:17.3789824Z >>> x_np = x.cpu().numpy() 2025-12-04T09:12:17.3790032Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-12-04T09:12:17.3790260Z >>> return torch.tensor(res, device=x.device) 2025-12-04T09:12:17.3790451Z >>> 2025-12-04T09:12:17.3790611Z >>> @nonzero.register_fake 2025-12-04T09:12:17.3790805Z >>> def _(x): 2025-12-04T09:12:17.3791000Z >>> # Number of nonzero-elements is data-dependent. 2025-12-04T09:12:17.3791253Z >>> # Since we cannot peek at the data in an abstract impl, 2025-12-04T09:12:17.3791510Z >>> # we use the ctx object to construct a new symint that 2025-12-04T09:12:17.3791748Z >>> # represents the data-dependent size. 2025-12-04T09:12:17.3791963Z >>> ctx = torch.library.get_ctx() 2025-12-04T09:12:17.3792180Z >>> nnz = ctx.new_dynamic_size() 2025-12-04T09:12:17.3792386Z >>> shape = [nnz, x.dim()] 2025-12-04T09:12:17.3792608Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-12-04T09:12:17.3792829Z >>> return result 2025-12-04T09:12:17.3793006Z >>> 2025-12-04T09:12:17.3793165Z >>> x = torch.tensor([0, 1, 2, 0, 0, 1]) 2025-12-04T09:12:17.3793386Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:12:17.3793624Z >>> out = torch.compile(nonzero, fullgraph=True)(x) 2025-12-04T09:12:17.3793858Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:12:17.3794080Z >>> assert torch.allclose(out, x.nonzero()) 2025-12-04T09:12:17.3794224Z 2025-12-04T09:12:17.3794282Z 2025-12-04T09:12:17.3794641Z Original Error: IndentationError('expected an indented block after function definition on line 36', ('', 37, 1, '_._ = None\n', 37, 2)) 2025-12-04T09:12:17.3795009Z 2025-12-04T09:12:17.3795067Z _._ = None 2025-12-04T09:12:17.3795243Z ^ 2025-12-04T09:12:17.3906199Z msg = Cannot scrape callname=unsafe_generate_fake_kernels in modpath=/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_library/fake_profile.py line=94. 2025-12-04T09:12:17.3906972Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-12-04T09:12:17.3907268Z 2025-12-04T09:12:17.3907456Z Registers a fake kernel based on the given operator profiles. This fake 2025-12-04T09:12:17.3907922Z kernel registration will override any existing fake kernel registrations. 2025-12-04T09:12:17.3908200Z 2025-12-04T09:12:17.3908372Z The input is a dictionary mapping operator names to a set of operator 2025-12-04T09:12:17.3908794Z profiles, which we will use to generate fake kernels. The operator profiles 2025-12-04T09:12:17.3909192Z are a record of the input and output tensor metadata. Based on this 2025-12-04T09:12:17.3909520Z information we will match a given input to the recorded profile, and return 2025-12-04T09:12:17.3909850Z an output with the same metadata as in the recorded profile. If a profile 2025-12-04T09:12:17.3910154Z doesn't exist then an exception will be thrown. 2025-12-04T09:12:17.3910293Z 2025-12-04T09:12:17.3910424Z The fake kernel generation is considered unsafe because it relies on the 2025-12-04T09:12:17.3910745Z rigid, pre-defined operator profiles that do not account for potential 2025-12-04T09:12:17.3911069Z variations in output behavior. Specifically, the generated kernels assume a 2025-12-04T09:12:17.3911455Z fixed relationship between input and output ranks. However, in reality, it's 2025-12-04T09:12:17.3911794Z possible that data-dependent operations may produce outputs of different 2025-12-04T09:12:17.3912124Z ranks even when given inputs of the same rank. The generated fake kernels 2025-12-04T09:12:17.3912438Z are inflexible and unable to accommodate these nuances, making them 2025-12-04T09:12:17.3912677Z potentially unsafe. 2025-12-04T09:12:17.3912786Z 2025-12-04T09:12:17.3912842Z Args: 2025-12-04T09:12:17.3913057Z op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator 2025-12-04T09:12:17.3913366Z name to a set of operator profiles from which we will generate fake 2025-12-04T09:12:17.3913598Z kernels. 2025-12-04T09:12:17.3913692Z 2025-12-04T09:12:17.3913750Z Examples: 2025-12-04T09:12:17.3913827Z 2025-12-04T09:12:17.3913941Z >>> # Example: Registering an op-profile from draft-export 2025-12-04T09:12:17.3914154Z >>> import torch 2025-12-04T09:12:17.3914356Z >>> from torch.export._draft_export import draft_export 2025-12-04T09:12:17.3914569Z >>> 2025-12-04T09:12:17.3914772Z >>> @torch.library.custom_op("mylib::foo", mutates_args=()) 2025-12-04T09:12:17.3915020Z >>> def foo(x: Tensor, y: Tensor) -> Tensor: 2025-12-04T09:12:17.3915223Z >>> return x + y 2025-12-04T09:12:17.3915373Z >>> 2025-12-04T09:12:17.3915522Z >>> class M(torch.nn.Module): 2025-12-04T09:12:17.3915716Z >>> def forward(self, a, b): 2025-12-04T09:12:17.3915930Z >>> res = torch.ops.mylib.foo(a, b) # no fake impl 2025-12-04T09:12:17.3916134Z >>> return res 2025-12-04T09:12:17.3916292Z >>> 2025-12-04T09:12:17.3916474Z >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4)) 2025-12-04T09:12:17.3916674Z >>> 2025-12-04T09:12:17.3916912Z >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles): 2025-12-04T09:12:17.3917221Z >>> decomp = ep.run_decompositions() 2025-12-04T09:12:17.3917354Z 2025-12-04T09:12:17.3917357Z 2025-12-04T09:12:17.3917623Z Original Error: IncompleteParseError('ill-formed doctest: all parts have been processed but the doctest source is not balanced') 2025-12-04T09:12:17.3917930Z 2025-12-04T09:12:17.7689018Z msg = Cannot scrape callname=ActivationSparsifier in modpath=/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py line=16. 2025-12-04T09:12:17.7689721Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:12:17.7690023Z 2025-12-04T09:12:17.7690187Z The Activation sparsifier class aims to sparsify/prune activations in a neural 2025-12-04T09:12:17.7690523Z network. The idea is to attach the sparsifier to a layer (or layers) and it 2025-12-04T09:12:17.7690851Z zeroes out the activations based on the mask_fn (or sparsification function) 2025-12-04T09:12:17.7691115Z input by the user. 2025-12-04T09:12:17.7691351Z The mask_fn is applied once all the inputs are aggregated and reduced i.e. 2025-12-04T09:12:17.7691630Z mask = mask_fn(reduce_fn(aggregate_fn(activations))) 2025-12-04T09:12:17.7691788Z 2025-12-04T09:12:17.7691893Z Note:: 2025-12-04T09:12:17.7692160Z The sparsification mask is computed on the input **before it goes through the attached layer**. 2025-12-04T09:12:17.7692389Z 2025-12-04T09:12:17.7692446Z Args: 2025-12-04T09:12:17.7692595Z model (nn.Module): 2025-12-04T09:12:17.7692828Z The model whose layers will be sparsified. The layers that needs to be 2025-12-04T09:12:17.7693156Z sparsified should be added separately using the register_layer() function 2025-12-04T09:12:17.7693422Z aggregate_fn (Optional, Callable): 2025-12-04T09:12:17.7693697Z default aggregate_fn that is used if not specified while registering the layer. 2025-12-04T09:12:17.7694002Z specifies how inputs should be aggregated over time. 2025-12-04T09:12:17.7694308Z The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor. 2025-12-04T09:12:17.7694581Z Example 2025-12-04T09:12:17.7694783Z def add_agg_fn(tensor1, tensor2): return tensor1 + tensor2 2025-12-04T09:12:17.7695018Z reduce_fn (Optional, Callable): 2025-12-04T09:12:17.7695274Z default reduce_fn that is used if not specified while registering the layer. 2025-12-04T09:12:17.7695613Z reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after 2025-12-04T09:12:17.7695892Z calling agg_fn() on all inputs. 2025-12-04T09:12:17.7696078Z Example 2025-12-04T09:12:17.7696294Z def mean_reduce_fn(agg_tensor): return agg_tensor.mean(dim=0) 2025-12-04T09:12:17.7696540Z mask_fn (Optional, Callable): 2025-12-04T09:12:17.7696827Z default mask_fn that is used to create the sparsification mask using the tensor obtained after 2025-12-04T09:12:17.7697196Z calling the reduce_fn(). This is used by default if a custom one is passed in the 2025-12-04T09:12:17.7697464Z register_layer(). 2025-12-04T09:12:17.7697771Z Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config 2025-12-04T09:12:17.7698073Z arguments. 2025-12-04T09:12:17.7698251Z features (Optional, list): 2025-12-04T09:12:17.7698464Z default selected features to sparsify. 2025-12-04T09:12:17.7698745Z If this is non-empty, then the mask_fn will be applied for each feature of the input. 2025-12-04T09:12:17.7699016Z For example, 2025-12-04T09:12:17.7699267Z mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features] 2025-12-04T09:12:17.7699538Z feature_dim (Optional, int): 2025-12-04T09:12:17.7699970Z default dimension of input features. Again, features along this dim will be chosen 2025-12-04T09:12:17.7700327Z for sparsification. 2025-12-04T09:12:17.7700555Z sparse_config (Dict): 2025-12-04T09:12:17.7700841Z Default configuration for the mask_fn. This config will be passed 2025-12-04T09:12:17.7701143Z with the mask_fn() 2025-12-04T09:12:17.7701286Z 2025-12-04T09:12:17.7701354Z Example: 2025-12-04T09:12:17.7701524Z >>> # xdoctest: +SKIP 2025-12-04T09:12:17.7701716Z >>> model = SomeModel() 2025-12-04T09:12:17.7702297Z >>> act_sparsifier = ActivationSparsifier(...) # init activation sparsifier 2025-12-04T09:12:17.7702642Z >>> # Initialize aggregate_fn 2025-12-04T09:12:17.7702816Z >>> def agg_fn(x, y): 2025-12-04T09:12:17.7702983Z >>> return x + y 2025-12-04T09:12:17.7703145Z >>> 2025-12-04T09:12:17.7703283Z >>> # Initialize reduce_fn 2025-12-04T09:12:17.7703458Z >>> def reduce_fn(x): 2025-12-04T09:12:17.7703634Z >>> return torch.mean(x, dim=0) 2025-12-04T09:12:17.7703808Z >>> 2025-12-04T09:12:17.7703952Z >>> # Initialize mask_fn 2025-12-04T09:12:17.7704124Z >>> def mask_fn(data): 2025-12-04T09:12:17.7704313Z >>> return torch.eye(data.shape).to(data.device) 2025-12-04T09:12:17.7704514Z >>> 2025-12-04T09:12:17.7704643Z >>> 2025-12-04T09:12:17.7704785Z >>> act_sparsifier.register_layer( 2025-12-04T09:12:17.7704983Z ... model.some_layer, 2025-12-04T09:12:17.7705202Z ... aggregate_fn=agg_fn, 2025-12-04T09:12:17.7705380Z ... reduce_fn=reduce_fn, 2025-12-04T09:12:17.7705543Z ... mask_fn=mask_fn, 2025-12-04T09:12:17.7705709Z ... ) 2025-12-04T09:12:17.7705839Z >>> 2025-12-04T09:12:17.7705970Z >>> # start training process 2025-12-04T09:12:17.7706142Z >>> for _ in [...]: 2025-12-04T09:12:17.7706299Z >>> # epoch starts 2025-12-04T09:12:17.7706495Z >>> # model.forward(), compute_loss() and model.backwards() 2025-12-04T09:12:17.7706715Z >>> # epoch ends 2025-12-04T09:12:17.7706879Z >>> act_sparsifier.step() 2025-12-04T09:12:17.7707052Z >>> # end training process 2025-12-04T09:12:17.7707231Z >>> sparsifier.squash_mask() 2025-12-04T09:12:17.7707343Z 2025-12-04T09:12:17.7707613Z Original Error: IndentationError("expected an indented block after 'for' statement on line 25", ('', 26, 1, '_._ = None\n', 26, 2)) 2025-12-04T09:12:17.7707921Z 2025-12-04T09:12:17.7707986Z _._ = None 2025-12-04T09:12:17.7708116Z ^ 2025-12-04T09:12:18.3550309Z msg = Cannot scrape callname=DeviceMesh.__getitem__ in modpath=/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributed/device_mesh.py line=547. 2025-12-04T09:12:18.3550894Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:12:18.3551098Z 2025-12-04T09:12:18.3551260Z Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh. 2025-12-04T09:12:18.3551614Z The submesh created consists of the dimensions and the communicators indicated by 2025-12-04T09:12:18.3551882Z ``mesh_dim_names`` 2025-12-04T09:12:18.3551975Z 2025-12-04T09:12:18.3552039Z Args: 2025-12-04T09:12:18.3552250Z mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the 2025-12-04T09:12:18.3552558Z mesh dimension of the DeviceMesh to create the submesh for. 2025-12-04T09:12:18.3552783Z Returns: 2025-12-04T09:12:18.3552930Z A :class:`DeviceMesh` object 2025-12-04T09:12:18.3553053Z 2025-12-04T09:12:18.3553214Z The following program runs on each process/rank in an SPMD manner in a world size of 8. 2025-12-04T09:12:18.3553496Z In the first example: 2025-12-04T09:12:18.3553745Z Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]). 2025-12-04T09:12:18.3554068Z Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of DeviceMesh:([4, 5, 6, 7]). 2025-12-04T09:12:18.3554386Z Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of DeviceMesh:([0, 4]). 2025-12-04T09:12:18.3554692Z Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of DeviceMesh:([1, 5]). 2025-12-04T09:12:18.3554991Z Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of DeviceMesh:([2, 6]). 2025-12-04T09:12:18.3555278Z Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of DeviceMesh:([3, 7]). 2025-12-04T09:12:18.3555459Z 2025-12-04T09:12:18.3555523Z In the second example: 2025-12-04T09:12:18.3555773Z Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]). 2025-12-04T09:12:18.3556469Z Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]). 2025-12-04T09:12:18.3557012Z Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]). 2025-12-04T09:12:18.3557351Z Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]). 2025-12-04T09:12:18.3557542Z 2025-12-04T09:12:18.3557660Z Example:: 2025-12-04T09:12:18.3557740Z 2025-12-04T09:12:18.3557814Z >>> # xdoctest: +SKIP("no rank") 2025-12-04T09:12:18.3558051Z >>> from torch.distributed.device_mesh import DeviceMesh 2025-12-04T09:12:18.3558267Z >>> 2025-12-04T09:12:18.3558457Z >>> # Initialize a 2D device mesh as (2, 4) to represent the topology 2025-12-04T09:12:18.3558723Z >>> # of cross-host(dim 0), and within-host (dim 1). 2025-12-04T09:12:18.3559014Z >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-12-04T09:12:18.3559286Z >>> tp_mesh = mesh_2d["tp"] 2025-12-04T09:12:18.3559454Z >>> dp_mesh = mesh_2d["dp"] 2025-12-04T09:12:18.3559616Z >>> 2025-12-04T09:12:18.3559752Z >>> # Initialize a 3D mesh. 2025-12-04T09:12:18.3560008Z >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp")) 2025-12-04T09:12:18.3560378Z >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh. 2025-12-04T09:12:18.3560670Z >>> dp_cp_mesh = mesh_3d["dp", "cp"] 2025-12-04T09:12:18.3560863Z >>> cp_dp_mesh = mesh_3d["cp", "dp"] 2025-12-04T09:12:18.3560983Z 2025-12-04T09:12:18.3561335Z 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)) 2025-12-04T09:12:18.3561731Z 2025-12-04T09:12:18.3561873Z mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-12-04T09:12:18.3562147Z ^ 2025-12-04T09:12:18.7100423Z msg = Cannot scrape callname=SavePlanner in modpath=/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributed/checkpoint/planner.py line=122. 2025-12-04T09:12:18.7101123Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:12:18.7101378Z 2025-12-04T09:12:18.7101579Z Abstract class defining the protocol used by save_state_dict to plan the save process. 2025-12-04T09:12:18.7101851Z 2025-12-04T09:12:18.7102296Z SavePlanners are stateful objects that can be used to customize the whole save process. 2025-12-04T09:12:18.7102566Z 2025-12-04T09:12:18.7102756Z SavePlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-12-04T09:12:18.7103148Z will be visible to the whole process. 2025-12-04T09:12:18.7103286Z 2025-12-04T09:12:18.7103444Z A planner subclass can expect the following sequence of calls during save_state_dict: 2025-12-04T09:12:18.7103702Z 2025-12-04T09:12:18.7103791Z 1) set_up_planner - called on all ranks. 2025-12-04T09:12:18.7104028Z Signals the start of a checkpoint save. 2025-12-04T09:12:18.7104163Z 2025-12-04T09:12:18.7104246Z 2) create_local_plan - called on all ranks. 2025-12-04T09:12:18.7104556Z Process the state_dict and produces a `SavePlan` that will be sent for global planning. 2025-12-04T09:12:18.7104774Z 2025-12-04T09:12:18.7104898Z 3) create_global_plan - called on the coordinator rank only. 2025-12-04T09:12:18.7105191Z Takes the SavePlan from all ranks and make any global decision. 2025-12-04T09:12:18.7105364Z 2025-12-04T09:12:18.7105439Z 4) finish_plan - called on all ranks. 2025-12-04T09:12:18.7105742Z This gives each rank a chance to adjust to global planning decisions. 2025-12-04T09:12:18.7105927Z 2025-12-04T09:12:18.7106023Z 5) resolve_data - called multiple times on each rank 2025-12-04T09:12:18.7106288Z Lookups a value on the `state_dict` for the storage layer to write. 2025-12-04T09:12:18.7106811Z 2025-12-04T09:12:18.7106997Z Users are recommended to extend DefaultSavePlanner instead of this interface directly as 2025-12-04T09:12:18.7107432Z most changes can be expressed by changes in a single method. 2025-12-04T09:12:18.7107602Z 2025-12-04T09:12:18.7107681Z There are 3 usual patterns of extension: 2025-12-04T09:12:18.7107810Z 2025-12-04T09:12:18.7107964Z Rewriting state_dict. This is the simplest way to extend the save process as it 2025-12-04T09:12:18.7108329Z doesn't requite understanding the intrincacies of how SavePlan works: 2025-12-04T09:12:18.7108569Z 2025-12-04T09:12:18.7108646Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:12:18.7108862Z >>> class RenamePlanner(DefaultSavePlanner): 2025-12-04T09:12:18.7109073Z >>> def set_up_planner( 2025-12-04T09:12:18.7109260Z >>> self, 2025-12-04T09:12:18.7109442Z >>> state_dict: STATE_DICT_TYPE, 2025-12-04T09:12:18.7109648Z >>> storage_meta: Optional[StorageMeta], 2025-12-04T09:12:18.7109893Z >>> is_coordinator: bool, 2025-12-04T09:12:18.7110123Z >>> ) -> None: 2025-12-04T09:12:18.7110338Z >>> # prefix all keys with `foo_`` 2025-12-04T09:12:18.7110705Z >>> super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator) 2025-12-04T09:12:18.7110926Z 2025-12-04T09:12:18.7111107Z Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted 2025-12-04T09:12:18.7111351Z 2025-12-04T09:12:18.7111423Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:12:18.7111630Z >>> class FP16Planner(DefaultSavePlanner): 2025-12-04T09:12:18.7111826Z >>> def create_local_plan(self): 2025-12-04T09:12:18.7112026Z >>> plan = super().create_local_plan() 2025-12-04T09:12:18.7112228Z >>> for p in plan: 2025-12-04T09:12:18.7112414Z >>> if p.tensor_data is not None: 2025-12-04T09:12:18.7112643Z >>> p.tensor_data.properties.dtype = torch.float16 2025-12-04T09:12:18.7112863Z >>> return plan 2025-12-04T09:12:18.7113009Z >>> 2025-12-04T09:12:18.7113158Z >>> def resolve_data(self, write_item): 2025-12-04T09:12:18.7113369Z >>> item = super().resolve_data(write_item) 2025-12-04T09:12:18.7113663Z >>> return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16) 2025-12-04T09:12:18.7113870Z 2025-12-04T09:12:18.7114056Z Using the global planning step to make central decisions that can't be made individually by each rank 2025-12-04T09:12:18.7114302Z 2025-12-04T09:12:18.7114374Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:12:18.7114576Z >>> from itertools import zip_longest 2025-12-04T09:12:18.7114763Z >>> from dataclasses import replace 2025-12-04T09:12:18.7114995Z >>> class DDPLoadBalancingPlanner(DefaultSavePlanner): 2025-12-04T09:12:18.7115305Z >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0 2025-12-04T09:12:18.7115602Z >>> # This sample doesn't handle ShardedTensors 2025-12-04T09:12:18.7115818Z >>> def create_global_plan(self, all_plans): 2025-12-04T09:12:18.7116054Z >>> iters = [iter(all_plans[0].items)] * len(all_plans) 2025-12-04T09:12:18.7116274Z >>> items_per_rank = [ 2025-12-04T09:12:18.7116465Z >>> [item for item in items if item is not None] 2025-12-04T09:12:18.7116704Z >>> for items in zip(*zip_longest(*iters), strict=True) 2025-12-04T09:12:18.7116915Z >>> ] 2025-12-04T09:12:18.7117054Z >>> all_plans = [ 2025-12-04T09:12:18.7117229Z >>> replace(plan, items=items) 2025-12-04T09:12:18.7117470Z >>> for plan, items in zip(all_plans, items_per_rank, strict=True) 2025-12-04T09:12:18.7117692Z >>> ] 2025-12-04T09:12:18.7117861Z >>> return super().create_global_plan(all_plans) 2025-12-04T09:12:18.7118011Z 2025-12-04T09:12:18.7118159Z Finally, some planners need to save additional metadata in the checkpoint, this is 2025-12-04T09:12:18.7118564Z accomplished by having each rank contribute their data items in the local plan and 2025-12-04T09:12:18.7118840Z the global planner aggregate them: 2025-12-04T09:12:18.7119013Z 2025-12-04T09:12:18.7119085Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:12:18.7119309Z >>> class SaveExtraDataPlanner(DefaultSavePlanner): 2025-12-04T09:12:18.7119544Z >>> def create_local_plan(self) -> SavePlan: 2025-12-04T09:12:18.7119754Z >>> plan = super().create_local_plan() 2025-12-04T09:12:18.7119989Z >>> return replace(plan, planner_data="per-rank-data") 2025-12-04T09:12:18.7120201Z >>> 2025-12-04T09:12:18.7120435Z >>> def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]: 2025-12-04T09:12:18.7120772Z >>> global_plan, metadata = super().create_global_plan(all_plans) 2025-12-04T09:12:18.7121041Z >>> merged_data = [p.planner_data for p in global_plan] 2025-12-04T09:12:18.7121291Z >>> metadata = replace(metadata, planner_data=merged_data) 2025-12-04T09:12:18.7121515Z >>> return global_plan, metadata 2025-12-04T09:12:18.7121641Z 2025-12-04T09:12:18.7121914Z Original Error: IndentationError('expected an indented block after function definition on line 3', ('', 9, 0, '_._ = None\n', 9, -1)) 2025-12-04T09:12:18.7122235Z 2025-12-04T09:12:18.7122302Z _._ = None 2025-12-04T09:12:18.7122428Z ^ 2025-12-04T09:12:18.7122830Z msg = Cannot scrape callname=LoadPlanner in modpath=/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributed/checkpoint/planner.py line=305. 2025-12-04T09:12:18.7123321Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:12:18.7123516Z 2025-12-04T09:12:18.7123673Z Abstract class defining the protocol used by load_state_dict to plan the load process. 2025-12-04T09:12:18.7123883Z 2025-12-04T09:12:18.7124047Z LoadPlanner are stateful objects that can be used to customize the whole load process. 2025-12-04T09:12:18.7124259Z 2025-12-04T09:12:18.7124417Z LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-12-04T09:12:18.7124696Z will be visible to the whole process. 2025-12-04T09:12:18.7124827Z 2025-12-04T09:12:18.7124980Z A planner subclass can expect the following sequence of calls during load_state_dict: 2025-12-04T09:12:18.7125183Z 2025-12-04T09:12:18.7125265Z 1) set_up_planner - called on all ranks. 2025-12-04T09:12:18.7125468Z Signals the start of loading a checkpoint. 2025-12-04T09:12:18.7125607Z 2025-12-04T09:12:18.7125684Z 2) create_local_plan - called on all ranks. 2025-12-04T09:12:18.7125975Z Process the state_dict and produces a `LoadPlan` that will be sent for global planning. 2025-12-04T09:12:18.7126184Z 2025-12-04T09:12:18.7126297Z 3) create_global_plan - called on the coordinator rank only. 2025-12-04T09:12:18.7126565Z Takes the LoadPlan from all ranks and make any global decision. 2025-12-04T09:12:18.7126737Z 2025-12-04T09:12:18.7126825Z 4) load_bytes - called multiple times on each rank 2025-12-04T09:12:18.7127072Z This is called once per non-tensor value in state_dict. 2025-12-04T09:12:18.7127223Z 2025-12-04T09:12:18.7127361Z 5) resolve_tensor and commit_tensor - called multiple times on each rank 2025-12-04T09:12:18.7127646Z They are called in pair for each Tensor value in state_dict. 2025-12-04T09:12:18.7127811Z 2025-12-04T09:12:18.7127973Z Users are recommended to extend DefaultLoadPlanner instead of this interface directly as 2025-12-04T09:12:18.7128304Z most changes can be expressed by changes in a single method. 2025-12-04T09:12:18.7128461Z 2025-12-04T09:12:18.7128541Z There are two usual patterns of extension: 2025-12-04T09:12:18.7128680Z 2025-12-04T09:12:18.7128823Z Rewriting state_dict. This is the simplest way to extend the load process as it 2025-12-04T09:12:18.7129160Z doesn't requite understanding the intrincacies of how LoadPlan works. We need 2025-12-04T09:12:18.7129489Z to keep a reference to the original state_dict as load happens in place so 2025-12-04T09:12:18.7129746Z we need to be able to perform it in place 2025-12-04T09:12:18.7129917Z 2025-12-04T09:12:18.7129993Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:12:18.7130272Z >>> class RenamePlanner(DefaultLoadPlanner): 2025-12-04T09:12:18.7130470Z >>> def set_up_planner( 2025-12-04T09:12:18.7130636Z >>> self, 2025-12-04T09:12:18.7130796Z >>> state_dict: STATE_DICT_TYPE, 2025-12-04T09:12:18.7130985Z >>> metadata: Metadata, 2025-12-04T09:12:18.7131157Z >>> is_coordinator: bool, 2025-12-04T09:12:18.7131336Z >>> ) -> None: 2025-12-04T09:12:18.7131513Z >>> self.original_state_dict = state_dict 2025-12-04T09:12:18.7131747Z >>> state_dict = {"foo_" + k: v for k, v in state_dict.items()} 2025-12-04T09:12:18.7131961Z >>> 2025-12-04T09:12:18.7132111Z >>> if self.flatten_sharded_tensors: 2025-12-04T09:12:18.7132325Z >>> state_dict = _flatten_sharded_tensors(state_dict) 2025-12-04T09:12:18.7132528Z >>> 2025-12-04T09:12:18.7132673Z >>> if self.flatten_state_dict: 2025-12-04T09:12:18.7132896Z >>> state_dict, self.mappings = flatten_state_dict(state_dict) 2025-12-04T09:12:18.7133115Z >>> 2025-12-04T09:12:18.7133257Z >>> self.state_dict = state_dict 2025-12-04T09:12:18.7133440Z >>> self.metadata = metadata 2025-12-04T09:12:18.7133641Z >>> self.is_coordinator = is_coordinator 2025-12-04T09:12:18.7133826Z >>> 2025-12-04T09:12:18.7133978Z >>> def load_bytes(self, read_item, value): 2025-12-04T09:12:18.7134207Z >>> # Remove the "foo_" prefix 2025-12-04T09:12:18.7134495Z >>> self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False) 2025-12-04T09:12:18.7134717Z 2025-12-04T09:12:18.7134720Z 2025-12-04T09:12:18.7134866Z Modifying resolve_tensor and commit_tensor to handle load time transformation. 2025-12-04T09:12:18.7135075Z 2025-12-04T09:12:18.7135147Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:12:18.7135369Z >>> class MetaModelMaterialize(DefaultSavePlanner): 2025-12-04T09:12:18.7135596Z >>> def resolve_tensor(self, read_item): 2025-12-04T09:12:18.7135798Z >>> tensor = super().resolve_tensor(read_item) 2025-12-04T09:12:18.7136033Z >>> return torch.empty_like(tensor, device="cpu") 2025-12-04T09:12:18.7136229Z >>> 2025-12-04T09:12:18.7136373Z >>> def commit_tensor(self, read_item, tensor): 2025-12-04T09:12:18.7136611Z >>> self.state_dict[read_item.dest_index.fqn] = tensor 2025-12-04T09:12:18.7136755Z 2025-12-04T09:12:18.7137041Z Original Error: IndentationError('expected an indented block after function definition on line 22', ('', 23, 0, '_._ = None\n', 23, -1)) 2025-12-04T09:12:18.7137380Z 2025-12-04T09:12:18.7137445Z _._ = None 2025-12-04T09:12:18.7137572Z ^ 2025-12-04T09:12:18.9877060Z msg = Cannot scrape callname=FullStateDictConfig in modpath=/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributed/fsdp/api.py line=295. 2025-12-04T09:12:18.9877746Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:12:18.9878068Z 2025-12-04T09:12:18.9878196Z ``FullStateDictConfig`` is a config class meant to be used with 2025-12-04T09:12:18.9878508Z ``StateDictType.FULL_STATE_DICT``. We recommend enabling both 2025-12-04T09:12:18.9878810Z ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state 2025-12-04T09:12:18.9879124Z dicts to save GPU memory and CPU memory, respectively. This config class 2025-12-04T09:12:18.9879560Z is meant to be used via the :func:`state_dict_type` context manager as 2025-12-04T09:12:18.9879823Z follows: 2025-12-04T09:12:18.9879903Z 2025-12-04T09:12:18.9879990Z >>> # xdoctest: +SKIP("undefined variables") 2025-12-04T09:12:18.9880273Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2025-12-04T09:12:18.9880556Z >>> fsdp = FSDP(model, auto_wrap_policy=...) 2025-12-04T09:12:18.9880819Z >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True) 2025-12-04T09:12:18.9881480Z >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg): 2025-12-04T09:12:18.9881752Z >>> state = fsdp.state_dict() 2025-12-04T09:12:18.9882110Z >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0. 2025-12-04T09:12:18.9882420Z >>> # To reload checkpoint for inference, finetuning, transfer learning, etc: 2025-12-04T09:12:18.9882756Z >>> model = model_fn() # Initialize model in preparation for wrapping with FSDP 2025-12-04T09:12:18.9883025Z >>> if dist.get_rank() == 0: 2025-12-04T09:12:18.9883262Z >>> # Load checkpoint only on rank 0 to avoid memory redundancy 2025-12-04T09:12:18.9883530Z >>> state_dict = torch.load("my_checkpoint.pt") 2025-12-04T09:12:18.9883760Z >>> model.load_state_dict(state_dict) 2025-12-04T09:12:18.9884031Z >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument 2025-12-04T09:12:18.9884364Z >>> # communicates loaded checkpoint states from rank 0 to rest of the world. 2025-12-04T09:12:18.9884619Z >>> fsdp = FSDP( 2025-12-04T09:12:18.9884783Z ... model, 2025-12-04T09:12:18.9884959Z ... device_id=torch.cuda.current_device(), 2025-12-04T09:12:18.9885163Z ... auto_wrap_policy=..., 2025-12-04T09:12:18.9885356Z ... sync_module_states=True, 2025-12-04T09:12:18.9885536Z ... ) 2025-12-04T09:12:18.9885738Z >>> # After this point, all ranks have FSDP model with loaded checkpoint. 2025-12-04T09:12:18.9885921Z 2025-12-04T09:12:18.9885980Z Attributes: 2025-12-04T09:12:18.9886190Z rank0_only (bool): If ``True``, then only rank 0 saves the full state 2025-12-04T09:12:18.9886478Z dict, and nonzero ranks save an empty dict. If ``False``, then all 2025-12-04T09:12:18.9886752Z ranks save the full state dict. (Default: ``False``) 2025-12-04T09:12:18.9886912Z 2025-12-04T09:12:18.9887183Z Original Error: IndentationError("expected an indented block after 'if' statement on line 10", ('', 11, 1, '_._ = None\n', 11, 2)) 2025-12-04T09:12:18.9887496Z 2025-12-04T09:12:18.9887562Z _._ = None 2025-12-04T09:12:18.9887697Z ^ 2025-12-04T09:12:20.6452629Z msg = Cannot scrape callname=register_parametrization in modpath=/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/utils/parametrize.py line=437. 2025-12-04T09:12:20.6453467Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:12:20.6453888Z Register a parametrization to a tensor in a module. 2025-12-04T09:12:20.6454118Z 2025-12-04T09:12:20.6454375Z Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``, 2025-12-04T09:12:20.6454902Z the module will return the parametrized version ``parametrization(module.weight)``. 2025-12-04T09:12:20.6455424Z If the original tensor requires a gradient, the backward pass will differentiate 2025-12-04T09:12:20.6455839Z through :attr:`parametrization`, and the optimizer will update the tensor accordingly. 2025-12-04T09:12:20.6456051Z 2025-12-04T09:12:20.6456245Z The first time that a module registers a parametrization, this function will add an attribute 2025-12-04T09:12:20.6456613Z ``parametrizations`` to the module of type :class:`~ParametrizationList`. 2025-12-04T09:12:20.6456814Z 2025-12-04T09:12:20.6456959Z The list of parametrizations on the tensor ``weight`` will be accessible under 2025-12-04T09:12:20.6457243Z ``module.parametrizations.weight``. 2025-12-04T09:12:20.6457375Z 2025-12-04T09:12:20.6457466Z The original tensor will be accessible under 2025-12-04T09:12:20.6457694Z ``module.parametrizations.weight.original``. 2025-12-04T09:12:20.6457841Z 2025-12-04T09:12:20.6457984Z Parametrizations may be concatenated by registering several parametrizations 2025-12-04T09:12:20.6458255Z on the same attribute. 2025-12-04T09:12:20.6458390Z 2025-12-04T09:12:20.6458560Z The training mode of a registered parametrization is updated on registration 2025-12-04T09:12:20.6458957Z to match the training mode of the host module 2025-12-04T09:12:20.6459123Z 2025-12-04T09:12:20.6459617Z Parametrized parameters and buffers have an inbuilt caching system that can be activated 2025-12-04T09:12:20.6460219Z using the context manager :func:`cached`. 2025-12-04T09:12:20.6460384Z 2025-12-04T09:12:20.6460567Z A :attr:`parametrization` may optionally implement a method with signature 2025-12-04T09:12:20.6460798Z 2025-12-04T09:12:20.6460932Z .. code-block:: python 2025-12-04T09:12:20.6461062Z 2025-12-04T09:12:20.6461215Z def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]] 2025-12-04T09:12:20.6461434Z 2025-12-04T09:12:20.6461610Z This method is called on the unparametrized tensor when the first parametrization 2025-12-04T09:12:20.6461955Z is registered to compute the initial value of the original tensor. 2025-12-04T09:12:20.6462300Z If this method is not implemented, the original tensor will be just the unparametrized tensor. 2025-12-04T09:12:20.6462520Z 2025-12-04T09:12:20.6462697Z If all the parametrizations registered on a tensor implement `right_inverse` it is possible 2025-12-04T09:12:20.6463086Z to initialize a parametrized tensor by assigning to it, as shown in the example below. 2025-12-04T09:12:20.6463301Z 2025-12-04T09:12:20.6463441Z It is possible for the first parametrization to depend on several inputs. 2025-12-04T09:12:20.6463769Z This may be implemented returning a tuple of tensors from ``right_inverse`` 2025-12-04T09:12:20.6464093Z (see the example implementation of a ``RankOne`` parametrization below). 2025-12-04T09:12:20.6464285Z 2025-12-04T09:12:20.6464473Z In this case, the unconstrained tensors are also located under ``module.parametrizations.weight`` 2025-12-04T09:12:20.6464809Z with names ``original0``, ``original1``,... 2025-12-04T09:12:20.6464943Z 2025-12-04T09:12:20.6465095Z .. note:: 2025-12-04T09:12:20.6465187Z 2025-12-04T09:12:20.6465340Z If unsafe=False (default) both the forward and right_inverse methods will be called 2025-12-04T09:12:20.6465652Z once to perform a number of consistency checks. 2025-12-04T09:12:20.6465951Z If unsafe=True, then right_inverse will be called if the tensor is not parametrized, 2025-12-04T09:12:20.6466237Z and nothing will be called otherwise. 2025-12-04T09:12:20.6466372Z 2025-12-04T09:12:20.6466431Z .. note:: 2025-12-04T09:12:20.6466512Z 2025-12-04T09:12:20.6466645Z In most situations, ``right_inverse`` will be a function such that 2025-12-04T09:12:20.6466899Z ``forward(right_inverse(X)) == X`` (see 2025-12-04T09:12:20.6467204Z `right inverse `_). 2025-12-04T09:12:20.6467556Z Sometimes, when the parametrization is not surjective, it may be reasonable 2025-12-04T09:12:20.6467814Z to relax this. 2025-12-04T09:12:20.6467908Z 2025-12-04T09:12:20.6467968Z .. warning:: 2025-12-04T09:12:20.6468060Z 2025-12-04T09:12:20.6468213Z If a parametrization depends on several inputs, :func:`~register_parametrization` 2025-12-04T09:12:20.6468566Z will register a number of new parameters. If such parametrization is registered 2025-12-04T09:12:20.6468917Z after the optimizer is created, these new parameters will need to be added manually 2025-12-04T09:12:20.6469235Z to the optimizer. See :meth:`torch.Optimizer.add_param_group`. 2025-12-04T09:12:20.6469410Z 2025-12-04T09:12:20.6469467Z Args: 2025-12-04T09:12:20.6469671Z module (nn.Module): module on which to register the parametrization 2025-12-04T09:12:20.6469964Z tensor_name (str): name of the parameter or buffer on which to register 2025-12-04T09:12:20.6470214Z the parametrization 2025-12-04T09:12:20.6470448Z parametrization (nn.Module): the parametrization to register 2025-12-04T09:12:20.6470679Z Keyword args: 2025-12-04T09:12:20.6470887Z unsafe (bool): a boolean flag that denotes whether the parametrization 2025-12-04T09:12:20.6471183Z may change the dtype and shape of the tensor. Default: `False` 2025-12-04T09:12:20.6471545Z Warning: the parametrization is not checked for consistency upon registration. 2025-12-04T09:12:20.6471855Z Enable this flag at your own risk. 2025-12-04T09:12:20.6471988Z 2025-12-04T09:12:20.6472043Z Raises: 2025-12-04T09:12:20.6472284Z ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name` 2025-12-04T09:12:20.6472496Z 2025-12-04T09:12:20.6472557Z Examples: 2025-12-04T09:12:20.6472730Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK) 2025-12-04T09:12:20.6472937Z >>> import torch 2025-12-04T09:12:20.6473108Z >>> import torch.nn as nn 2025-12-04T09:12:20.6473307Z >>> import torch.nn.utils.parametrize as P 2025-12-04T09:12:20.6473504Z >>> 2025-12-04T09:12:20.6473656Z >>> class Symmetric(nn.Module): 2025-12-04T09:12:20.6473842Z >>> def forward(self, X): 2025-12-04T09:12:20.6474075Z >>> return X.triu() + X.triu(1).T # Return a symmetric matrix 2025-12-04T09:12:20.6474292Z >>> 2025-12-04T09:12:20.6474431Z >>> def right_inverse(self, A): 2025-12-04T09:12:20.6474627Z >>> return A.triu() 2025-12-04T09:12:20.6474800Z >>> 2025-12-04T09:12:20.6474943Z >>> m = nn.Linear(5, 5) 2025-12-04T09:12:20.6475150Z >>> P.register_parametrization(m, "weight", Symmetric()) 2025-12-04T09:12:20.6475445Z >>> print(torch.allclose(m.weight, m.weight.T)) # m.weight is now symmetric 2025-12-04T09:12:20.6475701Z True 2025-12-04T09:12:20.6475844Z >>> A = torch.rand(5, 5) 2025-12-04T09:12:20.6476028Z >>> A = A + A.T # A is now symmetric 2025-12-04T09:12:20.6476272Z >>> m.weight = A # Initialize the weight to be the symmetric matrix A 2025-12-04T09:12:20.6476518Z >>> print(torch.allclose(m.weight, A)) 2025-12-04T09:12:20.6476703Z True 2025-12-04T09:12:20.6476787Z 2025-12-04T09:12:20.6476858Z >>> class RankOne(nn.Module): 2025-12-04T09:12:20.6477052Z >>> def forward(self, x, y): 2025-12-04T09:12:20.6477258Z >>> # Form a rank 1 matrix multiplying two vectors 2025-12-04T09:12:20.6477505Z >>> return x.unsqueeze(-1) @ y.unsqueeze(-2) 2025-12-04T09:12:20.6477699Z >>> 2025-12-04T09:12:20.6477838Z >>> def right_inverse(self, Z): 2025-12-04T09:12:20.6478043Z >>> # Project Z onto the rank 1 matrices 2025-12-04T09:12:20.6478268Z >>> U, S, Vh = torch.linalg.svd(Z, full_matrices=False) 2025-12-04T09:12:20.6478492Z >>> # Return rescaled singular vectors 2025-12-04T09:12:20.6478691Z >>> s0_sqrt = S[0].sqrt().unsqueeze(-1) 2025-12-04T09:12:20.6478914Z >>> return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt 2025-12-04T09:12:20.6479113Z >>> 2025-12-04T09:12:20.6479279Z >>> linear_rank_one = P.register_parametrization( 2025-12-04T09:12:20.6479508Z ... nn.Linear(4, 4), "weight", RankOne() 2025-12-04T09:12:20.6479702Z ... ) 2025-12-04T09:12:20.6479896Z >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item()) 2025-12-04T09:12:20.6480127Z 1 2025-12-04T09:12:20.6480200Z 2025-12-04T09:12:20.6480262Z 2025-12-04T09:12:20.6480613Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 3, 0, '_._ = None\n', 3, -1)) 2025-12-04T09:12:20.6480939Z 2025-12-04T09:12:20.6480994Z _._ = None 2025-12-04T09:12:20.6481129Z ^ 2025-12-04T09:12:20.7177633Z msg = Cannot scrape callname=ReduceLROnPlateau in modpath=/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/optim/lr_scheduler.py line=1586. 2025-12-04T09:12:20.7178348Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:12:20.7178656Z Reduce learning rate when a metric has stopped improving. 2025-12-04T09:12:20.7178831Z 2025-12-04T09:12:20.7178956Z Models often benefit from reducing the learning rate by a factor 2025-12-04T09:12:20.7179640Z of 2-10 once learning stagnates. This scheduler reads a metrics 2025-12-04T09:12:20.7180157Z quantity and if no improvement is seen for a 'patience' number 2025-12-04T09:12:20.7180417Z of epochs, the learning rate is reduced. 2025-12-04T09:12:20.7180571Z 2025-12-04T09:12:20.7180640Z Args: 2025-12-04T09:12:20.7180841Z optimizer (Optimizer): Wrapped optimizer. 2025-12-04T09:12:20.7181121Z mode (str): One of `min`, `max`. In `min` mode, lr will 2025-12-04T09:12:20.7181420Z be reduced when the quantity monitored has stopped 2025-12-04T09:12:20.7181721Z decreasing; in `max` mode it will be reduced when the 2025-12-04T09:12:20.7182037Z quantity monitored has stopped increasing. Default: 'min'. 2025-12-04T09:12:20.7182361Z factor (float): Factor by which the learning rate will be 2025-12-04T09:12:20.7182623Z reduced. new_lr = lr * factor. Default: 0.1. 2025-12-04T09:12:20.7182897Z patience (int): The number of allowed epochs with no improvement after 2025-12-04T09:12:20.7183167Z which the learning rate will be reduced. 2025-12-04T09:12:20.7183443Z For example, consider the case of having no patience (`patience = 0`). 2025-12-04T09:12:20.7183828Z In the first epoch, a baseline is established and is always considered good as there's no previous baseline. 2025-12-04T09:12:20.7184194Z In the second epoch, if the performance is worse than the baseline, 2025-12-04T09:12:20.7184466Z we have what is considered an intolerable epoch. 2025-12-04T09:12:20.7184762Z Since the count of intolerable epochs (1) is greater than the patience level (0), 2025-12-04T09:12:20.7185074Z the learning rate is reduced at the end of this epoch. 2025-12-04T09:12:20.7185437Z From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch 2025-12-04T09:12:20.7185840Z if the performance is worse than the baseline. If the performance improves or remains the same, 2025-12-04T09:12:20.7186145Z the learning rate is not adjusted. 2025-12-04T09:12:20.7186365Z Default: 10. 2025-12-04T09:12:20.7186577Z threshold (float): Threshold for measuring the new optimum, 2025-12-04T09:12:20.7186841Z to only focus on significant changes. Default: 1e-4. 2025-12-04T09:12:20.7187097Z threshold_mode (str): One of `rel`, `abs`. In `rel` mode, 2025-12-04T09:12:20.7187346Z dynamic_threshold = best * ( 1 + threshold ) in 'max' 2025-12-04T09:12:20.7187595Z mode or best * ( 1 - threshold ) in `min` mode. 2025-12-04T09:12:20.7187838Z In `abs` mode, dynamic_threshold = best + threshold in 2025-12-04T09:12:20.7188097Z `max` mode or best - threshold in `min` mode. Default: 'rel'. 2025-12-04T09:12:20.7188356Z cooldown (int): Number of epochs to wait before resuming 2025-12-04T09:12:20.7188623Z normal operation after lr has been reduced. Default: 0. 2025-12-04T09:12:20.7188882Z min_lr (float or list): A scalar or a list of scalars. A 2025-12-04T09:12:20.7189128Z lower bound on the learning rate of all param groups 2025-12-04T09:12:20.7189363Z or each group respectively. Default: 0. 2025-12-04T09:12:20.7189609Z eps (float): Minimal decay applied to lr. If the difference 2025-12-04T09:12:20.7189869Z between new and old lr is smaller than eps, the update is 2025-12-04T09:12:20.7190103Z ignored. Default: 1e-8. 2025-12-04T09:12:20.7190225Z 2025-12-04T09:12:20.7190282Z Example: 2025-12-04T09:12:20.7190436Z >>> # xdoctest: +SKIP 2025-12-04T09:12:20.7190672Z >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9) 2025-12-04T09:12:20.7190957Z >>> scheduler = ReduceLROnPlateau(optimizer, "min") 2025-12-04T09:12:20.7191174Z >>> for epoch in range(10): 2025-12-04T09:12:20.7191343Z >>> train(...) 2025-12-04T09:12:20.7191614Z >>> val_loss = validate(...) 2025-12-04T09:12:20.7191841Z >>> # Note that step should be called after validate() 2025-12-04T09:12:20.7192099Z >>> scheduler.step(val_loss) 2025-12-04T09:12:20.7192233Z 2025-12-04T09:12:20.7192398Z .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png 2025-12-04T09:12:20.7192618Z 2025-12-04T09:12:20.7192919Z Original Error: IndentationError('unexpected indent', ('', 8, 4, ' scheduler.step(val_loss)\n', 8, -1)) 2025-12-04T09:12:20.7193190Z 2025-12-04T09:12:20.7193260Z scheduler.step(val_loss) 2025-12-04T09:12:20.7193427Z ^ 2025-12-04T09:12:23.5036388Z running 894 test(s) 2025-12-04T09:12:23.5042964Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/__init__.py::typename:0, line 1111 <- wrt source file 2025-12-04T09:12:23.5048033Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/__init__.py::typename:0 2025-12-04T09:12:23.5048651Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/__init__.py::is_tensor:0, line 1142 <- wrt source file 2025-12-04T09:12:23.5050081Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/__init__.py::is_tensor:0 2025-12-04T09:12:23.5050684Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/__init__.py::is_storage:0, line 1157 <- wrt source file 2025-12-04T09:12:23.5055542Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/__init__.py::is_storage:0 2025-12-04T09:12:23.5056203Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/__init__.py::set_default_device:0, line 1247 <- wrt source file 2025-12-04T09:12:23.5057636Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/__init__.py::set_default_device:0 2025-12-04T09:12:23.5058359Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/__init__.py::set_default_tensor_type:0, line 1296 <- wrt source file 2025-12-04T09:12:23.5059098Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/__init__.py::set_default_tensor_type:0 2025-12-04T09:12:23.5059751Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/__init__.py::set_default_dtype:0, line 1333 <- wrt source file 2025-12-04T09:12:23.5062909Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/__init__.py::set_default_dtype:0 2025-12-04T09:12:23.5063777Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/__init__.py::use_deterministic_algorithms:0, line 1497 <- wrt source file 2025-12-04T09:12:23.5064583Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/__init__.py::use_deterministic_algorithms:0 2025-12-04T09:12:23.5065248Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/__init__.py::compile:0, line 2655 <- wrt source file 2025-12-04T09:12:23.5065854Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/__init__.py::compile:0 2025-12-04T09:12:23.5066598Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0, line 2963 <- wrt source file 2025-12-04T09:12:23.5067441Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0 2025-12-04T09:12:23.5068296Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_C.cpython-311-x86_64-linux-gnu.so::Generator:0, line 15 <- wrt source file 2025-12-04T09:12:23.5069318Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_C.cpython-311-x86_64-linux-gnu.so::Generator:0 2025-12-04T09:12:23.5070461Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_C.cpython-311-x86_64-linux-gnu.so::_LinAlgError:0, line 5 <- wrt source file 2025-12-04T09:12:23.5071271Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_C.cpython-311-x86_64-linux-gnu.so::_LinAlgError:0 2025-12-04T09:12:23.5071901Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_custom_ops.py::custom_op:0, line 55 <- wrt source file 2025-12-04T09:12:23.5072503Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_custom_ops.py::custom_op:0 2025-12-04T09:12:23.5073068Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_custom_ops.py::impl:0, line 138 <- wrt source file 2025-12-04T09:12:23.5073631Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_custom_ops.py::impl:0 2025-12-04T09:12:23.5074224Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_custom_ops.py::impl_abstract:0, line 208 <- wrt source file 2025-12-04T09:12:23.5300436Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_custom_ops.py::impl_abstract:0 2025-12-04T09:12:23.5301401Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_namedtensor_internals.py::update_names:0, line 118 <- wrt source file 2025-12-04T09:12:23.5302357Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_namedtensor_internals.py::update_names:0 2025-12-04T09:12:23.5303027Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_tensor.py::Tensor.register_hook:0, line 681 <- wrt source file 2025-12-04T09:12:23.5308811Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_tensor.py::Tensor.register_hook:0 2025-12-04T09:12:23.5309512Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0, line 738 <- wrt source file 2025-12-04T09:12:23.5325508Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0 2025-12-04T09:12:23.5326183Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_tensor.py::Tensor.refine_names:0, line 1374 <- wrt source file 2025-12-04T09:12:23.5402832Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_tensor.py::Tensor.refine_names:0 2025-12-04T09:12:23.5403509Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_tensor.py::Tensor.align_to:0, line 1419 <- wrt source file 2025-12-04T09:12:23.5413767Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_tensor.py::Tensor.align_to:0 2025-12-04T09:12:23.5415376Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_tensor.py::Tensor.rename:0, line 1492 <- wrt source file 2025-12-04T09:12:23.5416149Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_tensor.py::Tensor.rename:0 2025-12-04T09:12:23.5416775Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0, line 1522 <- wrt source file 2025-12-04T09:12:23.5436141Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0 2025-12-04T09:12:23.5437130Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_tensor.py::Tensor.dim_order:0, line 1554 <- wrt source file 2025-12-04T09:12:23.5450168Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_tensor.py::Tensor.dim_order:0 2025-12-04T09:12:23.5451118Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_tensor_str.py::set_printoptions:0, line 53 <- wrt source file 2025-12-04T09:12:23.5465637Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_tensor_str.py::set_printoptions:0 2025-12-04T09:12:23.5466760Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/functional.py::broadcast_tensors:0, line 64 <- wrt source file 2025-12-04T09:12:23.5470620Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/functional.py::broadcast_tensors:0 2025-12-04T09:12:23.5471622Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/functional.py::broadcast_shapes:0, line 92 <- wrt source file 2025-12-04T09:12:23.5473840Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/functional.py::broadcast_shapes:0 2025-12-04T09:12:23.5474782Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/functional.py::split:0, line 144 <- wrt source file 2025-12-04T09:12:23.5484013Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/functional.py::split:0 2025-12-04T09:12:23.5485026Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/functional.py::einsum:0, line 258 <- wrt source file 2025-12-04T09:12:23.5508575Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/functional.py::einsum:0 2025-12-04T09:12:23.5509502Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/functional.py::meshgrid:0, line 450 <- wrt source file 2025-12-04T09:12:23.5534056Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/functional.py::meshgrid:0 2025-12-04T09:12:23.5534978Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/functional.py::_unique_impl:0, line 835 <- wrt source file 2025-12-04T09:12:23.5615892Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/functional.py::_unique_impl:0 2025-12-04T09:12:23.5617088Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/functional.py::_unique_consecutive_impl:0, line 992 <- wrt source file 2025-12-04T09:12:23.5624521Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/functional.py::_unique_consecutive_impl:0 2025-12-04T09:12:23.5625496Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/functional.py::tensordot:0, line 1267 <- wrt source file 2025-12-04T09:12:23.5633439Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/functional.py::tensordot:0 2025-12-04T09:12:23.5634343Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/functional.py::cartesian_prod:0, line 1351 <- wrt source file 2025-12-04T09:12:23.5639500Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/functional.py::cartesian_prod:0 2025-12-04T09:12:23.5640436Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/functional.py::block_diag:0, line 1385 <- wrt source file 2025-12-04T09:12:23.5646563Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/functional.py::block_diag:0 2025-12-04T09:12:23.5647430Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/functional.py::cdist:0, line 1441 <- wrt source file 2025-12-04T09:12:23.5656554Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/functional.py::cdist:0 2025-12-04T09:12:23.5657412Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/functional.py::atleast_1d:0, line 1482 <- wrt source file 2025-12-04T09:12:23.5669109Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/functional.py::atleast_1d:0 2025-12-04T09:12:23.5670036Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/functional.py::atleast_2d:0, line 1520 <- wrt source file 2025-12-04T09:12:23.5681044Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/functional.py::atleast_2d:0 2025-12-04T09:12:23.5682066Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/functional.py::atleast_3d:0, line 1560 <- wrt source file 2025-12-04T09:12:23.5695223Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/functional.py::atleast_3d:0 2025-12-04T09:12:23.5696129Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/functional.py::norm:0, line 1735 <- wrt source file 2025-12-04T09:12:23.5728062Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/functional.py::norm:0 2025-12-04T09:12:23.5728967Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/functional.py::unravel_index:0, line 1905 <- wrt source file 2025-12-04T09:12:23.5748391Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/functional.py::unravel_index:0 2025-12-04T09:12:23.5749571Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/functional.py::chain_matmul:0, line 2005 <- wrt source file 2025-12-04T09:12:23.5750657Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/functional.py::chain_matmul:0 2025-12-04T09:12:23.5751662Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/functional.py::_lu_impl:0, line 2106 <- wrt source file 2025-12-04T09:12:23.5752689Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/functional.py::_lu_impl:0 2025-12-04T09:12:23.5753630Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/hub.py::list:0, line 477 <- wrt source file 2025-12-04T09:12:23.5754575Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/hub.py::list:0 2025-12-04T09:12:23.5755471Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/hub.py::help:0, line 537 <- wrt source file 2025-12-04T09:12:23.5756348Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/hub.py::help:0 2025-12-04T09:12:23.5757115Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/hub.py::load:0, line 628 <- wrt source file 2025-12-04T09:12:23.5757996Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/hub.py::load:0 2025-12-04T09:12:23.5758948Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/hub.py::_load_local:0, line 676 <- wrt source file 2025-12-04T09:12:23.5759929Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/hub.py::_load_local:0 2025-12-04T09:12:23.5760866Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/hub.py::download_url_to_file:0, line 711 <- wrt source file 2025-12-04T09:12:23.5761883Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/hub.py::download_url_to_file:0 2025-12-04T09:12:23.5762824Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/hub.py::load_state_dict_from_url:0, line 852 <- wrt source file 2025-12-04T09:12:23.5763809Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/hub.py::load_state_dict_from_url:0 2025-12-04T09:12:23.5764789Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/library.py::Library.define:0, line 145 <- wrt source file 2025-12-04T09:12:23.5765762Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/library.py::Library.define:0 2025-12-04T09:12:23.5766739Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/library.py::Library._impl_with_aoti_compile:0, line 239 <- wrt source file 2025-12-04T09:12:23.5768510Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/library.py::Library._impl_with_aoti_compile:0 2025-12-04T09:12:23.5769588Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/library.py::Library.impl:0, line 300 <- wrt source file 2025-12-04T09:12:23.5771617Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/library.py::Library.impl:0 2025-12-04T09:12:23.5772484Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/library.py::define:0, line 521 <- wrt source file 2025-12-04T09:12:23.5802411Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/library.py::define:0 2025-12-04T09:12:23.5803225Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/library.py::impl:0, line 627 <- wrt source file 2025-12-04T09:12:23.5815566Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/library.py::impl:0 2025-12-04T09:12:23.5816435Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/library.py::register_kernel:0, line 809 <- wrt source file 2025-12-04T09:12:23.5817345Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/library.py::register_kernel:0 2025-12-04T09:12:23.5818252Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/library.py::register_autocast:0, line 877 <- wrt source file 2025-12-04T09:12:23.5819175Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/library.py::register_autocast:0 2025-12-04T09:12:23.5820258Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/library.py::register_autograd:0, line 1164 <- wrt source file 2025-12-04T09:12:23.5956078Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/library.py::register_autograd:0 2025-12-04T09:12:23.5957030Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/library.py::register_torch_dispatch:0, line 1280 <- wrt source file 2025-12-04T09:12:23.6017741Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/library.py::register_torch_dispatch:0 2025-12-04T09:12:23.6018852Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/library.py::register_vmap:0, line 1369 <- wrt source file 2025-12-04T09:12:23.6144063Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/library.py::register_vmap:0 2025-12-04T09:12:23.6145074Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/library.py::opcheck:0, line 1694 <- wrt source file 2025-12-04T09:12:23.6146001Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/library.py::opcheck:0 2025-12-04T09:12:23.6146984Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/overrides.py::get_ignored_functions:0, line 117 <- wrt source file 2025-12-04T09:12:23.6149750Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/overrides.py::get_ignored_functions:0 2025-12-04T09:12:23.6150743Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/overrides.py::get_testing_overrides:0, line 435 <- wrt source file 2025-12-04T09:12:23.6179228Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/overrides.py::get_testing_overrides:0 2025-12-04T09:12:23.6180637Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/overrides.py::wrap_torch_function:0, line 1589 <- wrt source file 2025-12-04T09:12:23.6182511Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/overrides.py::wrap_torch_function:0 2025-12-04T09:12:23.6184031Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/overrides.py::handle_torch_function:0, line 1725 <- wrt source file 2025-12-04T09:12:23.6185698Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/overrides.py::handle_torch_function:0 2025-12-04T09:12:23.6187013Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/overrides.py::is_tensor_method_or_property:0, line 1974 <- wrt source file 2025-12-04T09:12:23.6213945Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/overrides.py::is_tensor_method_or_property:0 2025-12-04T09:12:23.6215017Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/overrides.py::is_tensor_like:0, line 1993 <- wrt source file 2025-12-04T09:12:23.6220528Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/overrides.py::is_tensor_like:0 2025-12-04T09:12:23.6221628Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/quasirandom.py::SobolEngine:0, line 39 <- wrt source file 2025-12-04T09:12:23.6222673Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/quasirandom.py::SobolEngine:0 2025-12-04T09:12:23.6223698Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/serialization.py::add_safe_globals:0, line 300 <- wrt source file 2025-12-04T09:12:23.6224743Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/serialization.py::add_safe_globals:0 2025-12-04T09:12:23.6225765Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/serialization.py::safe_globals:0, line 325 <- wrt source file 2025-12-04T09:12:23.6226782Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/serialization.py::safe_globals:0 2025-12-04T09:12:23.6227754Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/serialization.py::skip_data:0, line 401 <- wrt source file 2025-12-04T09:12:23.6228753Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/serialization.py::skip_data:0 2025-12-04T09:12:23.6229671Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/serialization.py::register_package:0, line 473 <- wrt source file 2025-12-04T09:12:23.6230645Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/serialization.py::register_package:0 2025-12-04T09:12:23.6231534Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/serialization.py::save:0, line 960 <- wrt source file 2025-12-04T09:12:23.6232418Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/serialization.py::save:0 2025-12-04T09:12:23.6233272Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/serialization.py::load:0, line 1379 <- wrt source file 2025-12-04T09:12:23.6234151Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/serialization.py::load:0 2025-12-04T09:12:23.6235056Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/torch_version.py::TorchVersion:0, line 19 <- wrt source file 2025-12-04T09:12:23.6235990Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/torch_version.py::TorchVersion:0 2025-12-04T09:12:23.6236959Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_inductor/__init__.py::list_mode_options:0, line 349 <- wrt source file 2025-12-04T09:12:23.6237944Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_inductor/__init__.py::list_mode_options:0 2025-12-04T09:12:23.6238903Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_inductor/__init__.py::list_options:0, line 388 <- wrt source file 2025-12-04T09:12:23.6246783Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_inductor/__init__.py::list_options:0 2025-12-04T09:12:23.6247810Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_prims_common/__init__.py::compute_required_storage_length:0, line 1911 <- wrt source file 2025-12-04T09:12:23.6250801Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_prims_common/__init__.py::compute_required_storage_length:0 2025-12-04T09:12:23.6251869Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/accelerator/__init__.py::current_accelerator:0, line 117 <- wrt source file 2025-12-04T09:12:23.6254953Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/accelerator/__init__.py::current_accelerator:0 2025-12-04T09:12:23.6255971Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/accelerator/__init__.py::get_device_capability:0, line 171 <- wrt source file 2025-12-04T09:12:23.6257028Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/accelerator/__init__.py::get_device_capability:0 2025-12-04T09:12:23.6258034Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/accelerator/__init__.py::device_index:0, line 276 <- wrt source file 2025-12-04T09:12:23.6259014Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/accelerator/__init__.py::device_index:0 2025-12-04T09:12:23.6260026Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/compiler/__init__.py::allow_in_graph:0, line 130 <- wrt source file 2025-12-04T09:12:23.6261118Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/compiler/__init__.py::allow_in_graph:0 2025-12-04T09:12:23.6262266Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/compiler/__init__.py::substitute_in_graph:0, line 186 <- wrt source file 2025-12-04T09:12:23.9571445Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/compiler/__init__.py::substitute_in_graph:0 2025-12-04T09:12:23.9572404Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/compiler/__init__.py::wrap_numpy:0, line 416 <- wrt source file 2025-12-04T09:12:23.9573460Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/compiler/__init__.py::wrap_numpy:0 2025-12-04T09:12:23.9574313Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/compiler/__init__.py::is_compiling:0, line 448 <- wrt source file 2025-12-04T09:12:23.9575218Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/compiler/__init__.py::is_compiling:0 2025-12-04T09:12:23.9575949Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0, line 469 <- wrt source file 2025-12-04T09:12:23.9576843Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0 2025-12-04T09:12:23.9577672Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/compiler/__init__.py::is_exporting:0, line 487 <- wrt source file 2025-12-04T09:12:23.9578353Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/compiler/__init__.py::is_exporting:0 2025-12-04T09:12:23.9579146Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0, line 502 <- wrt source file 2025-12-04T09:12:23.9580185Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0 2025-12-04T09:12:23.9581217Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0, line 522 <- wrt source file 2025-12-04T09:12:23.9582503Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0 2025-12-04T09:12:23.9583424Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/cuda/__init__.py::_compile_kernel:0, line 1788 <- wrt source file 2025-12-04T09:12:23.9584099Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/cuda/__init__.py::_compile_kernel:0 2025-12-04T09:12:23.9584683Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/export/__init__.py::save:0, line 349 <- wrt source file 2025-12-04T09:12:23.9585266Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/export/__init__.py::save:0 2025-12-04T09:12:23.9585828Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/export/__init__.py::load:0, line 422 <- wrt source file 2025-12-04T09:12:23.9586412Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/export/__init__.py::load:0 2025-12-04T09:12:23.9587186Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/export/__init__.py::register_dataclass:0, line 581 <- wrt source file 2025-12-04T09:12:23.9587850Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/export/__init__.py::register_dataclass:0 2025-12-04T09:12:23.9588475Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/futures/__init__.py::Future.then:0, line 152 <- wrt source file 2025-12-04T09:12:23.9589124Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/futures/__init__.py::Future.then:0 2025-12-04T09:12:23.9589770Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/futures/__init__.py::Future.add_done_callback:0, line 201 <- wrt source file 2025-12-04T09:12:23.9590464Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/futures/__init__.py::Future.add_done_callback:0 2025-12-04T09:12:23.9591125Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/futures/__init__.py::Future.set_result:0, line 235 <- wrt source file 2025-12-04T09:12:23.9591770Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/futures/__init__.py::Future.set_result:0 2025-12-04T09:12:23.9592417Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/futures/__init__.py::Future.set_exception:0, line 265 <- wrt source file 2025-12-04T09:12:23.9593089Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/futures/__init__.py::Future.set_exception:0 2025-12-04T09:12:23.9593717Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/futures/__init__.py::collect_all:0, line 299 <- wrt source file 2025-12-04T09:12:23.9594336Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/futures/__init__.py::collect_all:0 2025-12-04T09:12:23.9595090Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/jit/__init__.py::annotate:0, line 147 <- wrt source file 2025-12-04T09:12:23.9595683Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/jit/__init__.py::annotate:0 2025-12-04T09:12:23.9596318Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0, line 22 <- wrt source file 2025-12-04T09:12:23.9597019Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0 2025-12-04T09:12:23.9597657Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/mps/__init__.py::compile_shader:0, line 148 <- wrt source file 2025-12-04T09:12:23.9598319Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/mps/__init__.py::compile_shader:0 2025-12-04T09:12:23.9598938Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nested/__init__.py::as_nested_tensor:0, line 61 <- wrt source file 2025-12-04T09:12:23.9680565Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nested/__init__.py::as_nested_tensor:0 2025-12-04T09:12:23.9681586Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nested/__init__.py::nested_tensor:0, line 240 <- wrt source file 2025-12-04T09:12:23.9684170Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nested/__init__.py::nested_tensor:0 2025-12-04T09:12:23.9685109Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nested/__init__.py::narrow:0, line 315 <- wrt source file 2025-12-04T09:12:23.9734711Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nested/__init__.py::narrow:0 2025-12-04T09:12:23.9735743Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0, line 405 <- wrt source file 2025-12-04T09:12:23.9739615Z W1204 09:12:23.973000 1086 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. 2025-12-04T09:12:23.9754822Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0 2025-12-04T09:12:23.9755805Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nested/__init__.py::masked_select:0, line 481 <- wrt source file 2025-12-04T09:12:23.9770024Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nested/__init__.py::masked_select:0 2025-12-04T09:12:23.9770989Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/sparse/__init__.py::sum:0, line 223 <- wrt source file 2025-12-04T09:12:23.9791766Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/sparse/__init__.py::sum:0 2025-12-04T09:12:23.9792783Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0, line 475 <- wrt source file 2025-12-04T09:12:23.9805248Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0 2025-12-04T09:12:23.9806318Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0, line 561 <- wrt source file 2025-12-04T09:12:23.9863883Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0 2025-12-04T09:12:23.9865097Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0, line 361 <- wrt source file 2025-12-04T09:12:23.9866563Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0 2025-12-04T09:12:23.9868416Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0, line 328 <- wrt source file 2025-12-04T09:12:23.9869824Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0 2025-12-04T09:12:23.9871177Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_dynamo/variables/higher_order_ops.py::speculate_subgraph_with_auto_output_flattening:0, line 1316 <- wrt source file 2025-12-04T09:12:23.9872969Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_dynamo/variables/higher_order_ops.py::speculate_subgraph_with_auto_output_flattening:0 2025-12-04T09:12:23.9874388Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0, line 1441 <- wrt source file 2025-12-04T09:12:23.9875559Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0 2025-12-04T09:12:23.9876792Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_export/wrappers.py::mark_subclass_constructor_exportable_experimental:0, line 194 <- wrt source file 2025-12-04T09:12:23.9878092Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_export/wrappers.py::mark_subclass_constructor_exportable_experimental:0 2025-12-04T09:12:23.9879287Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_export/wrappers.py::allow_in_pre_dispatch_graph:0, line 262 <- wrt source file 2025-12-04T09:12:23.9880422Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_export/wrappers.py::allow_in_pre_dispatch_graph:0 2025-12-04T09:12:23.9881486Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_functorch/aot_autograd.py::aot_function:0, line 771 <- wrt source file 2025-12-04T09:12:24.0120786Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_functorch/aot_autograd.py::aot_function:0 2025-12-04T09:12:24.0121922Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0, line 184 <- wrt source file 2025-12-04T09:12:24.0123049Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0 2025-12-04T09:12:24.0124096Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_functorch/eager_transforms.py::vjp:0, line 234 <- wrt source file 2025-12-04T09:12:24.0181509Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_functorch/eager_transforms.py::vjp:0 2025-12-04T09:12:24.0182645Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_functorch/eager_transforms.py::jacrev:0, line 476 <- wrt source file 2025-12-04T09:12:24.0245098Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_functorch/eager_transforms.py::jacrev:0 2025-12-04T09:12:24.0246122Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_functorch/eager_transforms.py::jvp:0, line 1024 <- wrt source file 2025-12-04T09:12:24.0981872Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_functorch/eager_transforms.py::jvp:0 2025-12-04T09:12:24.0983290Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0, line 1182 <- wrt source file 2025-12-04T09:12:24.1032770Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0 2025-12-04T09:12:24.1033977Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_functorch/eager_transforms.py::hessian:0, line 1342 <- wrt source file 2025-12-04T09:12:24.1048109Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_functorch/eager_transforms.py::hessian:0 2025-12-04T09:12:24.1049397Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_functorch/eager_transforms.py::functionalize:0, line 1506 <- wrt source file 2025-12-04T09:12:24.1052140Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_functorch/eager_transforms.py::functionalize:0 2025-12-04T09:12:24.1053657Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_functorch/eager_transforms.py::linearize:0, line 1705 <- wrt source file 2025-12-04T09:12:24.1189925Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_functorch/eager_transforms.py::linearize:0 2025-12-04T09:12:24.1191103Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_functorch/functional_call.py::functional_call:0, line 36 <- wrt source file 2025-12-04T09:12:24.1194573Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_functorch/functional_call.py::functional_call:0 2025-12-04T09:12:24.1195625Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_functorch/fx_minifier.py::minifier:0, line 194 <- wrt source file 2025-12-04T09:12:24.1196650Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_functorch/fx_minifier.py::minifier:0 2025-12-04T09:12:24.1197773Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_functorch/_aot_autograd/schemas.py::CompilerWrapper.post_compile:0, line 1111 <- wrt source file 2025-12-04T09:12:24.1199043Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_functorch/_aot_autograd/schemas.py::CompilerWrapper.post_compile:0 2025-12-04T09:12:24.1200242Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_functorch/_aot_autograd/schemas.py::InductorWrapper.post_compile:0, line 1166 <- wrt source file 2025-12-04T09:12:24.1201477Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_functorch/_aot_autograd/schemas.py::InductorWrapper.post_compile:0 2025-12-04T09:12:24.1202765Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0, line 183 <- wrt source file 2025-12-04T09:12:24.1203911Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0 2025-12-04T09:12:24.1205085Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0, line 319 <- wrt source file 2025-12-04T09:12:24.1206283Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0 2025-12-04T09:12:24.1207339Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_higher_order_ops/cond.py::cond:0, line 139 <- wrt source file 2025-12-04T09:12:24.1208289Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_higher_order_ops/cond.py::cond:0 2025-12-04T09:12:24.1209303Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_higher_order_ops/flat_apply.py::FlatApply.__call__:0, line 80 <- wrt source file 2025-12-04T09:12:24.1210409Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_higher_order_ops/flat_apply.py::FlatApply.__call__:0 2025-12-04T09:12:24.1211401Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_higher_order_ops/map.py::map:0, line 80 <- wrt source file 2025-12-04T09:12:24.1212359Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_higher_order_ops/map.py::map:0 2025-12-04T09:12:24.1213471Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_higher_order_ops/partitioner.py::HopPartitionedGraph._reorder_fw_output:0, line 133 <- wrt source file 2025-12-04T09:12:24.1214763Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_higher_order_ops/partitioner.py::HopPartitionedGraph._reorder_fw_output:0 2025-12-04T09:12:24.1216025Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_higher_order_ops/scan.py::scan:0, line 130 <- wrt source file 2025-12-04T09:12:24.1217066Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_higher_order_ops/scan.py::scan:0 2025-12-04T09:12:24.1218056Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_inductor/codecache.py::WritableTempFile:0, line 385 <- wrt source file 2025-12-04T09:12:24.1219142Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_inductor/codecache.py::WritableTempFile:0 2025-12-04T09:12:24.1220340Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_inductor/cpp_builder.py::get_name_and_dir_from_output_file_path:0, line 1845 <- wrt source file 2025-12-04T09:12:24.1221764Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_inductor/cpp_builder.py::get_name_and_dir_from_output_file_path:0 2025-12-04T09:12:24.1223001Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_inductor/select_algorithm.py::add_preprocessing_fn:0, line 4328 <- wrt source file 2025-12-04T09:12:24.1224129Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_inductor/select_algorithm.py::add_preprocessing_fn:0 2025-12-04T09:12:24.1225221Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_inductor/fx_passes/graph_view.py::_clean_stack_name:0, line 100 <- wrt source file 2025-12-04T09:12:24.1226314Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_inductor/fx_passes/graph_view.py::_clean_stack_name:0 2025-12-04T09:12:24.1227400Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_inductor/kernel/custom_op.py::CustomOpConfig:0, line 56 <- wrt source file 2025-12-04T09:12:24.1228479Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_inductor/kernel/custom_op.py::CustomOpConfig:0 2025-12-04T09:12:24.1229594Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_inductor/kernel/custom_op.py::register_custom_op_autotuning:0, line 423 <- wrt source file 2025-12-04T09:12:24.1230775Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_inductor/kernel/custom_op.py::register_custom_op_autotuning:0 2025-12-04T09:12:24.1231947Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_lock_with_timeout:0, line 69 <- wrt source file 2025-12-04T09:12:24.1233149Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_lock_with_timeout:0 2025-12-04T09:12:24.1234361Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_lock_with_timeout:0, line 105 <- wrt source file 2025-12-04T09:12:24.1235627Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_lock_with_timeout:0 2025-12-04T09:12:24.1236839Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_flock_with_timeout:0, line 142 <- wrt source file 2025-12-04T09:12:24.1238056Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_flock_with_timeout:0 2025-12-04T09:12:24.1239270Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_flock_with_timeout:0, line 179 <- wrt source file 2025-12-04T09:12:24.1240542Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_flock_with_timeout:0 2025-12-04T09:12:24.1241856Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_inductor/template_heuristics/registry.py::register_template_heuristic:0, line 54 <- wrt source file 2025-12-04T09:12:24.1243170Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_inductor/template_heuristics/registry.py::register_template_heuristic:0 2025-12-04T09:12:24.1244263Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_library/custom_ops.py::custom_op:0, line 101 <- wrt source file 2025-12-04T09:12:24.1498918Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_library/custom_ops.py::custom_op:0 2025-12-04T09:12:24.1500032Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0, line 241 <- wrt source file 2025-12-04T09:12:24.1571286Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0 2025-12-04T09:12:24.1572407Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0, line 310 <- wrt source file 2025-12-04T09:12:24.1573549Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0 2025-12-04T09:12:24.1574656Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0, line 549 <- wrt source file 2025-12-04T09:12:24.1711383Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0 2025-12-04T09:12:24.1712530Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0, line 724 <- wrt source file 2025-12-04T09:12:24.1853210Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0 2025-12-04T09:12:24.1854575Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0, line 810 <- wrt source file 2025-12-04T09:12:24.1855950Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0 2025-12-04T09:12:24.1857234Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0, line 273 <- wrt source file 2025-12-04T09:12:24.1858506Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0 2025-12-04T09:12:24.1859902Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0, line 175 <- wrt source file 2025-12-04T09:12:24.1918166Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0 2025-12-04T09:12:24.1919431Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_library/infer_schema.py::infer_schema:0, line 53 <- wrt source file 2025-12-04T09:12:24.1925632Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_library/infer_schema.py::infer_schema:0 2025-12-04T09:12:24.1926798Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_library/triton.py::triton_op:0, line 136 <- wrt source file 2025-12-04T09:12:24.1927833Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_library/triton.py::triton_op:0 2025-12-04T09:12:24.1928736Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_library/triton.py::wrap_triton:0, line 307 <- wrt source file 2025-12-04T09:12:24.1930120Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_library/triton.py::wrap_triton:0 2025-12-04T09:12:24.1931224Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_logging/_internal.py::set_logs:0, line 460 <- wrt source file 2025-12-04T09:12:24.1932240Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_logging/_internal.py::set_logs:0 2025-12-04T09:12:24.1933259Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_numpy/testing/utils.py::assert_equal:0, line 171 <- wrt source file 2025-12-04T09:12:24.1960355Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_numpy/testing/utils.py::assert_equal:0 2025-12-04T09:12:24.1961558Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_numpy/testing/utils.py::print_assert_equal:0, line 302 <- wrt source file 2025-12-04T09:12:24.1962766Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_numpy/testing/utils.py::print_assert_equal:0 2025-12-04T09:12:24.1963911Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_numpy/testing/utils.py::assert_almost_equal:0, line 375 <- wrt source file 2025-12-04T09:12:24.1994229Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_numpy/testing/utils.py::assert_almost_equal:0 2025-12-04T09:12:24.1995665Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_numpy/testing/utils.py::assert_approx_equal:0, line 496 <- wrt source file 2025-12-04T09:12:24.1997296Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_numpy/testing/utils.py::assert_approx_equal:0 2025-12-04T09:12:24.1998523Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_numpy/testing/utils.py::assert_array_equal:0, line 793 <- wrt source file 2025-12-04T09:12:24.2047060Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_numpy/testing/utils.py::assert_array_equal:0 2025-12-04T09:12:24.2047811Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal:0, line 899 <- wrt source file 2025-12-04T09:12:24.2088550Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal:0 2025-12-04T09:12:24.2089852Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0, line 1008 <- wrt source file 2025-12-04T09:12:24.2124697Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0 2025-12-04T09:12:24.2126313Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0, line 1073 <- wrt source file 2025-12-04T09:12:24.2127124Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0 2025-12-04T09:12:24.2127819Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0, line 1294 <- wrt source file 2025-12-04T09:12:24.2137150Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0 2025-12-04T09:12:24.2137919Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0, line 1360 <- wrt source file 2025-12-04T09:12:24.2138663Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0 2025-12-04T09:12:24.2139941Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0, line 1423 <- wrt source file 2025-12-04T09:12:24.2141048Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0 2025-12-04T09:12:24.2141760Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0, line 1468 <- wrt source file 2025-12-04T09:12:24.2142544Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0 2025-12-04T09:12:24.2143319Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_numpy/testing/utils.py::assert_warns:0, line 1578 <- wrt source file 2025-12-04T09:12:24.2145324Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_numpy/testing/utils.py::assert_warns:0 2025-12-04T09:12:24.2146099Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_numpy/testing/utils.py::clear_and_catch_warnings:0, line 1881 <- wrt source file 2025-12-04T09:12:24.2147088Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_numpy/testing/utils.py::clear_and_catch_warnings:0 2025-12-04T09:12:24.2147864Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_prims/context.py::TorchRefsMode:0, line 95 <- wrt source file 2025-12-04T09:12:24.2148717Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_prims/context.py::TorchRefsMode:0 2025-12-04T09:12:24.2149612Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_subclasses/complex_tensor/_ops/common.py::is_complex_tensor:0, line 47 <- wrt source file 2025-12-04T09:12:24.2150649Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_subclasses/complex_tensor/_ops/common.py::is_complex_tensor:0 2025-12-04T09:12:24.2151487Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/amp/grad_scaler.py::GradScaler:0, line 64 <- wrt source file 2025-12-04T09:12:24.2152132Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/amp/grad_scaler.py::GradScaler:0 2025-12-04T09:12:24.2152957Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0, line 34 <- wrt source file 2025-12-04T09:12:24.2153711Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0 2025-12-04T09:12:24.2154485Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0, line 24 <- wrt source file 2025-12-04T09:12:24.2155327Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0 2025-12-04T09:12:24.2156113Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0, line 25 <- wrt source file 2025-12-04T09:12:24.2156902Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0 2025-12-04T09:12:24.2157672Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0, line 67 <- wrt source file 2025-12-04T09:12:24.2158494Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0 2025-12-04T09:12:24.2159331Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0, line 142 <- wrt source file 2025-12-04T09:12:24.2160132Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0 2025-12-04T09:12:24.2160902Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0, line 29 <- wrt source file 2025-12-04T09:12:24.2176446Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0 2025-12-04T09:12:24.2177149Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0, line 413 <- wrt source file 2025-12-04T09:12:24.2196888Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0 2025-12-04T09:12:24.2197941Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0, line 210 <- wrt source file 2025-12-04T09:12:24.2198919Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0 2025-12-04T09:12:24.2199745Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0, line 282 <- wrt source file 2025-12-04T09:12:24.2200417Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0 2025-12-04T09:12:24.2201062Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0, line 358 <- wrt source file 2025-12-04T09:12:24.2201720Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0 2025-12-04T09:12:24.2202584Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0, line 95 <- wrt source file 2025-12-04T09:12:24.2204552Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0 2025-12-04T09:12:24.2205250Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0, line 145 <- wrt source file 2025-12-04T09:12:24.2207836Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0 2025-12-04T09:12:24.2208847Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0, line 43 <- wrt source file 2025-12-04T09:12:24.2209806Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0 2025-12-04T09:12:24.2210599Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0, line 126 <- wrt source file 2025-12-04T09:12:24.2211540Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0 2025-12-04T09:12:24.2212582Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0, line 212 <- wrt source file 2025-12-04T09:12:24.2213556Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0 2025-12-04T09:12:24.2214635Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0, line 300 <- wrt source file 2025-12-04T09:12:24.2215567Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0 2025-12-04T09:12:24.2216417Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0, line 383 <- wrt source file 2025-12-04T09:12:24.2217309Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0 2025-12-04T09:12:24.2218338Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0, line 466 <- wrt source file 2025-12-04T09:12:24.2219312Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0 2025-12-04T09:12:24.2220242Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0, line 30 <- wrt source file 2025-12-04T09:12:24.2221210Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0 2025-12-04T09:12:24.2222141Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0, line 516 <- wrt source file 2025-12-04T09:12:24.2222881Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0 2025-12-04T09:12:24.2223584Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0, line 803 <- wrt source file 2025-12-04T09:12:24.2224330Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0 2025-12-04T09:12:24.2225062Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0, line 1209 <- wrt source file 2025-12-04T09:12:24.2225826Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0 2025-12-04T09:12:24.2226568Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0, line 1276 <- wrt source file 2025-12-04T09:12:24.2227334Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0 2025-12-04T09:12:24.2228073Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0, line 1329 <- wrt source file 2025-12-04T09:12:24.2228827Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0 2025-12-04T09:12:24.2229552Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0, line 36 <- wrt source file 2025-12-04T09:12:24.2230299Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0 2025-12-04T09:12:24.2230975Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv1d:0, line 376 <- wrt source file 2025-12-04T09:12:24.2231652Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv1d:0 2025-12-04T09:12:24.2232308Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0, line 506 <- wrt source file 2025-12-04T09:12:24.2232972Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0 2025-12-04T09:12:24.2233665Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0, line 636 <- wrt source file 2025-12-04T09:12:24.2234351Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0 2025-12-04T09:12:24.2235093Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0, line 893 <- wrt source file 2025-12-04T09:12:24.2235808Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0 2025-12-04T09:12:24.2236517Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0, line 1015 <- wrt source file 2025-12-04T09:12:24.2237242Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0 2025-12-04T09:12:24.2237956Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0, line 1141 <- wrt source file 2025-12-04T09:12:24.2238682Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0 2025-12-04T09:12:24.2239398Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0, line 111 <- wrt source file 2025-12-04T09:12:24.2257452Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0 2025-12-04T09:12:24.2258569Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0, line 275 <- wrt source file 2025-12-04T09:12:24.2266439Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0 2025-12-04T09:12:24.2267663Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0, line 23 <- wrt source file 2025-12-04T09:12:24.2269882Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0 2025-12-04T09:12:24.2271220Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0, line 176 <- wrt source file 2025-12-04T09:12:24.2272621Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0 2025-12-04T09:12:24.2273720Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0, line 135 <- wrt source file 2025-12-04T09:12:24.2274773Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0 2025-12-04T09:12:24.2275775Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/modules/rnn.py::LSTM:0, line 24 <- wrt source file 2025-12-04T09:12:24.2276772Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/nn/quantized/modules/rnn.py::LSTM:0 2025-12-04T09:12:24.2278006Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py::BaseDataScheduler.get_schedule_param:0, line 98 <- wrt source file 2025-12-04T09:12:24.2297486Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py::BaseDataScheduler.get_schedule_param:0 2025-12-04T09:12:24.2298978Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0, line 55 <- wrt source file 2025-12-04T09:12:24.2300499Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0 2025-12-04T09:12:24.2302059Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0, line 24 <- wrt source file 2025-12-04T09:12:24.2303327Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0 2025-12-04T09:12:24.2304506Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0, line 47 <- wrt source file 2025-12-04T09:12:24.2305772Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0 2025-12-04T09:12:24.2307077Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier.squash_mask:0, line 251 <- wrt source file 2025-12-04T09:12:24.2308447Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier.squash_mask:0 2025-12-04T09:12:24.2309682Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0, line 175 <- wrt source file 2025-12-04T09:12:24.2310794Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0 2025-12-04T09:12:24.2311863Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0, line 32 <- wrt source file 2025-12-04T09:12:24.2315862Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0 2025-12-04T09:12:24.2316981Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0, line 83 <- wrt source file 2025-12-04T09:12:24.2320730Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0 2025-12-04T09:12:24.2321872Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0, line 143 <- wrt source file 2025-12-04T09:12:24.2324542Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0 2025-12-04T09:12:24.2328628Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0, line 182 <- wrt source file 2025-12-04T09:12:24.2329832Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0 2025-12-04T09:12:24.2330932Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/observer.py::_with_args:0, line 110 <- wrt source file 2025-12-04T09:12:24.2331957Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/observer.py::_with_args:0 2025-12-04T09:12:24.2332987Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0, line 132 <- wrt source file 2025-12-04T09:12:24.2334081Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0 2025-12-04T09:12:24.2335187Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0, line 218 <- wrt source file 2025-12-04T09:12:24.2336285Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0 2025-12-04T09:12:24.2337321Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0, line 288 <- wrt source file 2025-12-04T09:12:24.2338379Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0 2025-12-04T09:12:24.2339435Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0, line 427 <- wrt source file 2025-12-04T09:12:24.2340698Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0 2025-12-04T09:12:24.2341867Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0, line 608 <- wrt source file 2025-12-04T09:12:24.2342932Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0 2025-12-04T09:12:24.2344031Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0, line 668 <- wrt source file 2025-12-04T09:12:24.2345208Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0 2025-12-04T09:12:24.2346394Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0, line 720 <- wrt source file 2025-12-04T09:12:24.2347674Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0 2025-12-04T09:12:24.2348813Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0, line 51 <- wrt source file 2025-12-04T09:12:24.2349904Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0 2025-12-04T09:12:24.2350963Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0, line 130 <- wrt source file 2025-12-04T09:12:24.2352065Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0 2025-12-04T09:12:24.2353108Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0, line 228 <- wrt source file 2025-12-04T09:12:24.2354183Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0 2025-12-04T09:12:24.2355206Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0, line 171 <- wrt source file 2025-12-04T09:12:24.2356235Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0 2025-12-04T09:12:24.2357237Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0, line 553 <- wrt source file 2025-12-04T09:12:24.2358268Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0 2025-12-04T09:12:24.2359304Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0, line 575 <- wrt source file 2025-12-04T09:12:24.2360512Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0 2025-12-04T09:12:24.2361583Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0, line 589 <- wrt source file 2025-12-04T09:12:24.2362635Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0 2025-12-04T09:12:24.2363662Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0, line 611 <- wrt source file 2025-12-04T09:12:24.2364705Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0 2025-12-04T09:12:24.2365706Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0, line 738 <- wrt source file 2025-12-04T09:12:24.2366730Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0 2025-12-04T09:12:24.2367832Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/backend_config/backend_config.py::DTypeConfig:0, line 216 <- wrt source file 2025-12-04T09:12:24.2369041Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/backend_config/backend_config.py::DTypeConfig:0 2025-12-04T09:12:24.2370220Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/backend_config/onednn.py::_fuse_linear_bn_leaky_relu:0, line 85 <- wrt source file 2025-12-04T09:12:24.2371456Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/backend_config/onednn.py::_fuse_linear_bn_leaky_relu:0 2025-12-04T09:12:24.2372632Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/fx/_model_report/model_report.py::ModelReport:0, line 85 <- wrt source file 2025-12-04T09:12:24.2373805Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/fx/_model_report/model_report.py::ModelReport:0 2025-12-04T09:12:24.2375188Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_filtered_tables:0, line 341 <- wrt source file 2025-12-04T09:12:24.2376769Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_filtered_tables:0 2025-12-04T09:12:24.2378326Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_table_visualization:0, line 429 <- wrt source file 2025-12-04T09:12:24.2379934Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_table_visualization:0 2025-12-04T09:12:24.2381776Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_plot_visualization:0, line 591 <- wrt source file 2025-12-04T09:12:24.2383575Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_plot_visualization:0 2025-12-04T09:12:24.2385510Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_histogram_visualization:0, line 664 <- wrt source file 2025-12-04T09:12:24.2387370Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_histogram_visualization:0 2025-12-04T09:12:24.2388784Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_get_reduction_params:0, line 104 <- wrt source file 2025-12-04T09:12:24.2390006Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_get_reduction_params:0 2025-12-04T09:12:24.2391213Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_register_custom_op:0, line 155 <- wrt source file 2025-12-04T09:12:24.2392431Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_register_custom_op:0 2025-12-04T09:12:24.2393603Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/pt2e/prepare.py::_get_edge_or_node_to_group_id:0, line 189 <- wrt source file 2025-12-04T09:12:24.2394810Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/pt2e/prepare.py::_get_edge_or_node_to_group_id:0 2025-12-04T09:12:24.2396004Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0, line 442 <- wrt source file 2025-12-04T09:12:24.2397256Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0 2025-12-04T09:12:24.2398376Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/autograd/anomaly_mode.py::detect_anomaly:0, line 28 <- wrt source file 2025-12-04T09:12:24.2399383Z * SKIPPED: 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/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/autograd/function.py::FunctionCtx.mark_dirty:0 2025-12-04T09:12:24.2412906Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0, line 216 <- wrt source file 2025-12-04T09:12:24.2414069Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0 2025-12-04T09:12:24.2415193Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/autograd/function.py::FunctionCtx.set_materialize_grads:0, line 245 <- wrt source file 2025-12-04T09:12:24.2416329Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/autograd/function.py::FunctionCtx.set_materialize_grads:0 2025-12-04T09:12:24.2417356Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/autograd/function.py::Function:0, line 487 <- wrt source file 2025-12-04T09:12:24.2418304Z * SKIPPED: 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DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/autograd/functional.py::hessian:0, line 907 <- wrt source file 2025-12-04T09:12:24.2427537Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/autograd/functional.py::hessian:0 2025-12-04T09:12:24.2428457Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/autograd/functional.py::vhp:0, line 1026 <- wrt source file 2025-12-04T09:12:24.2429358Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/autograd/functional.py::vhp:0 2025-12-04T09:12:24.2430268Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/autograd/functional.py::hvp:0, line 1125 <- wrt source file 2025-12-04T09:12:24.2431203Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/autograd/functional.py::hvp:0 2025-12-04T09:12:24.2432111Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/autograd/grad_mode.py::no_grad:0, line 50 <- wrt source file 2025-12-04T09:12:24.2433033Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/autograd/grad_mode.py::no_grad:0 2025-12-04T09:12:24.2433992Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/autograd/grad_mode.py::enable_grad:0, line 108 <- wrt source file 2025-12-04T09:12:24.2434966Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/autograd/grad_mode.py::enable_grad:0 2025-12-04T09:12:24.2435912Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/autograd/grad_mode.py::set_grad_enabled:0, line 166 <- wrt source file 2025-12-04T09:12:24.2436949Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/autograd/grad_mode.py::set_grad_enabled:0 2025-12-04T09:12:24.2437950Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/autograd/grad_mode.py::inference_mode:0, line 252 <- wrt source file 2025-12-04T09:12:24.2438937Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/autograd/grad_mode.py::inference_mode:0 2025-12-04T09:12:24.2439863Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/autograd/graph.py::Node.name:0, line 60 <- wrt source file 2025-12-04T09:12:24.2440786Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/autograd/graph.py::Node.name:0 2025-12-04T09:12:24.2441715Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/autograd/graph.py::Node.register_hook:0, line 117 <- wrt source file 2025-12-04T09:12:24.2442710Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/autograd/graph.py::Node.register_hook:0 2025-12-04T09:12:24.2443687Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/autograd/graph.py::Node.register_prehook:0, line 154 <- wrt source file 2025-12-04T09:12:24.2444699Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/autograd/graph.py::Node.register_prehook:0 2025-12-04T09:12:24.2445680Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0, line 292 <- wrt source file 2025-12-04T09:12:24.2446653Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0 2025-12-04T09:12:24.2447594Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/autograd/graph.py::save_on_cpu:0, line 362 <- wrt source file 2025-12-04T09:12:24.2448524Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/autograd/graph.py::save_on_cpu:0 2025-12-04T09:12:24.2449508Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/autograd/graph.py::disable_saved_tensors_hooks:0, line 419 <- wrt source file 2025-12-04T09:12:24.2450548Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/autograd/graph.py::disable_saved_tensors_hooks:0 2025-12-04T09:12:24.2451557Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/autograd/graph.py::register_multi_grad_hook:0, line 503 <- wrt source file 2025-12-04T09:12:24.2452570Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/autograd/graph.py::register_multi_grad_hook:0 2025-12-04T09:12:24.2453615Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0, line 777 <- wrt source file 2025-12-04T09:12:24.2454694Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0 2025-12-04T09:12:24.2455679Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/autograd/profiler.py::profile:0, line 182 <- wrt source file 2025-12-04T09:12:24.2456608Z * SKIPPED: 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2025-12-04T09:12:24.2463642Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/autograd/profiler_util.py::EventList:0, line 60 <- wrt source file 2025-12-04T09:12:24.2464679Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/autograd/profiler_util.py::EventList:0 2025-12-04T09:12:24.2465649Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/cuda/gds.py::gds_register_buffer:0, line 43 <- wrt source file 2025-12-04T09:12:24.2466660Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/cuda/gds.py::gds_register_buffer:0 2025-12-04T09:12:24.2467681Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/cuda/gds.py::gds_deregister_buffer:0, line 59 <- wrt source file 2025-12-04T09:12:24.2468733Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/cuda/gds.py::gds_deregister_buffer:0 2025-12-04T09:12:24.2469719Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/cuda/gds.py::GdsFile:0, line 86 <- wrt source file 2025-12-04T09:12:24.2470669Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/cuda/gds.py::GdsFile:0 2025-12-04T09:12:24.2471670Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/cuda/jiterator.py::_create_jit_fn:0, line 114 <- wrt source file 2025-12-04T09:12:24.2472713Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/cuda/jiterator.py::_create_jit_fn:0 2025-12-04T09:12:24.2473744Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/cuda/jiterator.py::_create_jit_fn:1, line 125 <- wrt source file 2025-12-04T09:12:24.2474685Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/cuda/jiterator.py::_create_jit_fn:1 2025-12-04T09:12:24.2475600Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2, line 140 <- wrt source file 2025-12-04T09:12:24.2476542Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2 2025-12-04T09:12:24.2477521Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0, line 173 <- wrt source file 2025-12-04T09:12:24.2478589Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0 2025-12-04T09:12:24.2479550Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/cuda/profiler.py::profile:0, line 75 <- wrt source file 2025-12-04T09:12:24.2480440Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/cuda/profiler.py::profile:0 2025-12-04T09:12:24.2481437Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.composition:0, line 125 <- wrt source file 2025-12-04T09:12:24.2482568Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.composition:0 2025-12-04T09:12:24.2483683Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.complement:0, line 142 <- wrt source file 2025-12-04T09:12:24.2484918Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.complement:0 2025-12-04T09:12:24.2486018Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.remap_to_tensor:0, line 281 <- wrt source file 2025-12-04T09:12:24.2487173Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.remap_to_tensor:0 2025-12-04T09:12:24.2488224Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributed/device_mesh.py::DeviceMesh:0, line 167 <- wrt source file 2025-12-04T09:12:24.2489240Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributed/device_mesh.py::DeviceMesh:0 2025-12-04T09:12:24.2490289Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributed/device_mesh.py::DeviceMesh.get_local_rank:0, line 1027 <- wrt source file 2025-12-04T09:12:24.2491405Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributed/device_mesh.py::DeviceMesh.get_local_rank:0 2025-12-04T09:12:24.2492478Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributed/device_mesh.py::init_device_mesh:0, line 1317 <- wrt source file 2025-12-04T09:12:24.2493531Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributed/device_mesh.py::init_device_mesh:0 2025-12-04T09:12:24.2494642Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py::_coalescing_manager:0, line 2652 <- wrt source file 2025-12-04T09:12:24.2495799Z * SKIPPED: 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* SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py::scatter_object_list:0 2025-12-04T09:12:24.2517371Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py::all_gather:0, line 3947 <- wrt source file 2025-12-04T09:12:24.2518427Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py::all_gather:0 2025-12-04T09:12:24.2519492Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py::all_gather_into_tensor:0, line 4054 <- wrt source file 2025-12-04T09:12:24.2520632Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py::all_gather_into_tensor:0 2025-12-04T09:12:24.2521734Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py::all_gather_coalesced:0, line 4192 <- wrt source file 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DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributed/checkpoint/format_utils.py::DynamicMetaLoadPlanner:0, line 173 <- wrt source file 2025-12-04T09:12:24.2659558Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributed/checkpoint/format_utils.py::DynamicMetaLoadPlanner:0 2025-12-04T09:12:24.2660942Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributed/checkpoint/optimizer.py::load_sharded_optimizer_state_dict:0, line 228 <- wrt source file 2025-12-04T09:12:24.2662515Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributed/checkpoint/optimizer.py::load_sharded_optimizer_state_dict:0 2025-12-04T09:12:24.2663883Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributed/checkpoint/state_dict.py::get_state_dict:0, line 1276 <- wrt source file 2025-12-04T09:12:24.2665189Z * SKIPPED: 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2025-12-04T09:12:24.2841740Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributed/tensor/parallel/style.py::RowwiseParallel:0, line 198 <- wrt source file 2025-12-04T09:12:24.2842937Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributed/tensor/parallel/style.py::RowwiseParallel:0 2025-12-04T09:12:24.2844100Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributed/tensor/parallel/style.py::SequenceParallel:0, line 350 <- wrt source file 2025-12-04T09:12:24.2845270Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributed/tensor/parallel/style.py::SequenceParallel:0 2025-12-04T09:12:24.2846483Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInput:0, line 452 <- wrt source file 2025-12-04T09:12:24.2847756Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInput:0 2025-12-04T09:12:24.2848960Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleOutput:0, line 614 <- wrt source file 2025-12-04T09:12:24.2850217Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleOutput:0 2025-12-04T09:12:24.2851468Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInputOutput:0, line 740 <- wrt source file 2025-12-04T09:12:24.2852765Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInputOutput:0 2025-12-04T09:12:24.2853898Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/bernoulli.py::Bernoulli:0, line 30 <- wrt source file 2025-12-04T09:12:24.2854922Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/bernoulli.py::Bernoulli:0 2025-12-04T09:12:24.2855885Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/beta.py::Beta:0, line 21 <- wrt source file 2025-12-04T09:12:24.2856835Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/beta.py::Beta:0 2025-12-04T09:12:24.2857786Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/binomial.py::Binomial:0, line 31 <- wrt source file 2025-12-04T09:12:24.2858794Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/binomial.py::Binomial:0 2025-12-04T09:12:24.2859849Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/categorical.py::Categorical:0, line 42 <- wrt source file 2025-12-04T09:12:24.2861087Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/categorical.py::Categorical:0 2025-12-04T09:12:24.2862153Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/cauchy.py::Cauchy:0, line 23 <- wrt source file 2025-12-04T09:12:24.2863105Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/cauchy.py::Cauchy:0 2025-12-04T09:12:24.2864026Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/chi2.py::Chi2:0, line 18 <- wrt source file 2025-12-04T09:12:24.2864949Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/chi2.py::Chi2:0 2025-12-04T09:12:24.2865943Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/constraints.py::is_dependent:0, line 167 <- wrt source file 2025-12-04T09:12:24.2867010Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/constraints.py::is_dependent:0 2025-12-04T09:12:24.2868091Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/constraints.py::_DependentProperty:0, line 188 <- wrt source file 2025-12-04T09:12:24.2869244Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/constraints.py::_DependentProperty:0 2025-12-04T09:12:24.2870396Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0, line 35 <- wrt source file 2025-12-04T09:12:24.2871692Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0 2025-12-04T09:12:24.2872822Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/dirichlet.py::Dirichlet:0, line 44 <- wrt source file 2025-12-04T09:12:24.2873852Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/dirichlet.py::Dirichlet:0 2025-12-04T09:12:24.2874881Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/exponential.py::Exponential:0, line 20 <- wrt source file 2025-12-04T09:12:24.2875946Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/exponential.py::Exponential:0 2025-12-04T09:12:24.2877016Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0, line 21 <- wrt source file 2025-12-04T09:12:24.2878144Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0 2025-12-04T09:12:24.2879143Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/gamma.py::Gamma:0, line 24 <- wrt source file 2025-12-04T09:12:24.2880089Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/gamma.py::Gamma:0 2025-12-04T09:12:24.2881137Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0, line 26 <- wrt source file 2025-12-04T09:12:24.2882322Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0 2025-12-04T09:12:24.2883401Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/geometric.py::Geometric:0, line 36 <- wrt source file 2025-12-04T09:12:24.2884445Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/geometric.py::Geometric:0 2025-12-04T09:12:24.2885425Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/gumbel.py::Gumbel:0, line 23 <- wrt source file 2025-12-04T09:12:24.2886400Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/gumbel.py::Gumbel:0 2025-12-04T09:12:24.2887379Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0, line 24 <- wrt source file 2025-12-04T09:12:24.2888434Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0 2025-12-04T09:12:24.2889450Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/half_normal.py::HalfNormal:0, line 24 <- wrt source file 2025-12-04T09:12:24.2890485Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/half_normal.py::HalfNormal:0 2025-12-04T09:12:24.2891540Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/independent.py::Independent:0, line 27 <- wrt source file 2025-12-04T09:12:24.2892612Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/independent.py::Independent:0 2025-12-04T09:12:24.2893672Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0, line 24 <- wrt source file 2025-12-04T09:12:24.2894768Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0 2025-12-04T09:12:24.2895839Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0, line 30 <- wrt source file 2025-12-04T09:12:24.2896938Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0 2025-12-04T09:12:24.2897947Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/laplace.py::Laplace:0, line 20 <- wrt source file 2025-12-04T09:12:24.2898916Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/laplace.py::Laplace:0 2025-12-04T09:12:24.2899963Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0, line 43 <- wrt source file 2025-12-04T09:12:24.2901226Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0 2025-12-04T09:12:24.2902445Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/log_normal.py::LogNormal:0, line 23 <- wrt source file 2025-12-04T09:12:24.2903465Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/log_normal.py::LogNormal:0 2025-12-04T09:12:24.2904495Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0, line 28 <- wrt source file 2025-12-04T09:12:24.2905596Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0 2025-12-04T09:12:24.2906789Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/lowrank_multivariate_normal.py::LowRankMultivariateNormal:0, line 63 <- wrt source file 2025-12-04T09:12:24.2908087Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/lowrank_multivariate_normal.py::LowRankMultivariateNormal:0 2025-12-04T09:12:24.2909266Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/mixture_same_family.py::MixtureSameFamily:0, line 24 <- wrt source file 2025-12-04T09:12:24.2910450Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/mixture_same_family.py::MixtureSameFamily:0 2025-12-04T09:12:24.2911544Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/multinomial.py::Multinomial:0, line 38 <- wrt source file 2025-12-04T09:12:24.2912632Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/multinomial.py::Multinomial:0 2025-12-04T09:12:24.2913738Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0, line 103 <- wrt source file 2025-12-04T09:12:24.2914934Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0 2025-12-04T09:12:24.2915988Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/normal.py::Normal:0, line 22 <- wrt source file 2025-12-04T09:12:24.2916981Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/normal.py::Normal:0 2025-12-04T09:12:24.2918046Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0, line 34 <- wrt source file 2025-12-04T09:12:24.2919221Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0 2025-12-04T09:12:24.2920263Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/pareto.py::Pareto:0, line 20 <- wrt source file 2025-12-04T09:12:24.2921236Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/pareto.py::Pareto:0 2025-12-04T09:12:24.2922287Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/poisson.py::Poisson:0, line 25 <- wrt source file 2025-12-04T09:12:24.2923328Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/poisson.py::Poisson:0 2025-12-04T09:12:24.2924391Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/relaxed_bernoulli.py::RelaxedBernoulli:0, line 130 <- wrt source file 2025-12-04T09:12:24.2925561Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/relaxed_bernoulli.py::RelaxedBernoulli:0 2025-12-04T09:12:24.2926757Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/relaxed_categorical.py::RelaxedOneHotCategorical:0, line 117 <- wrt source file 2025-12-04T09:12:24.2927986Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/relaxed_categorical.py::RelaxedOneHotCategorical:0 2025-12-04T09:12:24.2929064Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/studentT.py::StudentT:0, line 22 <- wrt source file 2025-12-04T09:12:24.2930050Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/studentT.py::StudentT:0 2025-12-04T09:12:24.2931057Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/transforms.py::CatTransform:0, line 1076 <- wrt source file 2025-12-04T09:12:24.2932098Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/transforms.py::CatTransform:0 2025-12-04T09:12:24.2933131Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/transforms.py::StackTransform:0, line 1190 <- wrt source file 2025-12-04T09:12:24.2934198Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/transforms.py::StackTransform:0 2025-12-04T09:12:24.2935352Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0, line 1268 <- wrt source file 2025-12-04T09:12:24.2936598Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0 2025-12-04T09:12:24.2937655Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/uniform.py::Uniform:0, line 21 <- wrt source file 2025-12-04T09:12:24.2938604Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/uniform.py::Uniform:0 2025-12-04T09:12:24.2939550Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/utils.py::clamp_probs:0, line 114 <- wrt source file 2025-12-04T09:12:24.2940815Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/utils.py::clamp_probs:0 2025-12-04T09:12:24.2941889Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/von_mises.py::VonMises:0, line 119 <- wrt source file 2025-12-04T09:12:24.2943064Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/von_mises.py::VonMises:0 2025-12-04T09:12:24.2944185Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributions/weibull.py::Weibull:0, line 22 <- wrt source file 2025-12-04T09:12:24.2945330Z * SUCCESS: 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/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/fx/passes/graph_drawer.py::FxGraphDrawer.get_dot_graph:0, line 129 <- wrt source file 2025-12-04T09:12:24.3080348Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/fx/passes/graph_drawer.py::FxGraphDrawer.get_dot_graph:0 2025-12-04T09:12:24.3081406Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/fx/passes/shape_prop.py::ShapeProp:0, line 99 <- wrt source file 2025-12-04T09:12:24.3082368Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/fx/passes/shape_prop.py::ShapeProp:0 2025-12-04T09:12:24.3083326Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/fx/passes/split_module.py::split_module:0, line 94 <- wrt source file 2025-12-04T09:12:24.3084327Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/fx/passes/split_module.py::split_module:0 2025-12-04T09:12:24.3085519Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/fx/passes/utils/matcher_with_name_node_map_utils.py::SubgraphMatcherWithNameNodeMap:0, line 51 <- wrt source file 2025-12-04T09:12:24.3086910Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/fx/passes/utils/matcher_with_name_node_map_utils.py::SubgraphMatcherWithNameNodeMap:0 2025-12-04T09:12:24.3088103Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0, line 37 <- wrt source file 2025-12-04T09:12:24.3089183Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0 2025-12-04T09:12:24.3090226Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/jit/mobile/__init__.py::_load_for_lite_interpreter:0, line 22 <- wrt source file 2025-12-04T09:12:24.3091303Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/jit/mobile/__init__.py::_load_for_lite_interpreter:0 2025-12-04T09:12:24.3092378Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/jit/mobile/__init__.py::_get_mobile_model_contained_types:0, line 125 <- wrt source file 2025-12-04T09:12:24.3093495Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/jit/mobile/__init__.py::_get_mobile_model_contained_types:0 2025-12-04T09:12:24.3094559Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/jit/mobile/__init__.py::_get_model_ops_and_info:0, line 225 <- wrt source file 2025-12-04T09:12:24.3095604Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/jit/mobile/__init__.py::_get_model_ops_and_info:0 2025-12-04T09:12:24.3096552Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/masked/_ops.py::logaddexp:0, line 1538 <- wrt source file 2025-12-04T09:12:24.3097446Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/masked/_ops.py::logaddexp:0 2025-12-04T09:12:24.3098417Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0, line 25 <- wrt source file 2025-12-04T09:12:24.3099485Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0 2025-12-04T09:12:24.3100818Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0, line 470 <- wrt source file 2025-12-04T09:12:24.3102162Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0 2025-12-04T09:12:24.3103253Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0, line 589 <- wrt source file 2025-12-04T09:12:24.3746228Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0 2025-12-04T09:12:24.3763425Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/functional.py::gumbel_softmax:0, line 2198 <- wrt source file 2025-12-04T09:12:24.3772496Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/functional.py::gumbel_softmax:0 2025-12-04T09:12:24.3773762Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/functional.py::embedding:0, line 2503 <- wrt source file 2025-12-04T09:12:24.3779265Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/functional.py::embedding:0 2025-12-04T09:12:24.3780675Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/functional.py::embedding_bag:0, line 2645 <- wrt source file 2025-12-04T09:12:24.3814680Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/functional.py::embedding_bag:0 2025-12-04T09:12:24.3815618Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/functional.py::ctc_loss:0, line 3087 <- wrt source file 2025-12-04T09:12:24.3839086Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/functional.py::ctc_loss:0 2025-12-04T09:12:24.3840228Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/functional.py::nll_loss:0, line 3157 <- wrt source file 2025-12-04T09:12:24.3861422Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/functional.py::nll_loss:0 2025-12-04T09:12:24.3862778Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/functional.py::cross_entropy:0, line 3476 <- wrt source file 2025-12-04T09:12:24.3881422Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/functional.py::cross_entropy:0 2025-12-04T09:12:24.3882623Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/functional.py::binary_cross_entropy:0, line 3542 <- wrt source file 2025-12-04T09:12:24.3897837Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/functional.py::binary_cross_entropy:0 2025-12-04T09:12:24.3899061Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0, line 3613 <- wrt source file 2025-12-04T09:12:24.3911605Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0 2025-12-04T09:12:24.3912761Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/functional.py::pad:0, line 5387 <- wrt source file 2025-12-04T09:12:24.3920714Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/functional.py::pad:0 2025-12-04T09:12:24.3921799Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/grad.py::conv1d_input:0, line 32 <- wrt source file 2025-12-04T09:12:24.3963028Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/grad.py::conv1d_input:0 2025-12-04T09:12:24.3964095Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/grad.py::conv1d_weight:0, line 79 <- wrt source file 2025-12-04T09:12:24.3968027Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/grad.py::conv1d_weight:0 2025-12-04T09:12:24.3969088Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/grad.py::conv2d_input:0, line 130 <- wrt source file 2025-12-04T09:12:24.3975379Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/grad.py::conv2d_input:0 2025-12-04T09:12:24.3976701Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/grad.py::conv2d_weight:0, line 177 <- wrt source file 2025-12-04T09:12:24.3980024Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/grad.py::conv2d_weight:0 2025-12-04T09:12:24.3981336Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/grad.py::conv3d_input:0, line 228 <- wrt source file 2025-12-04T09:12:24.4293215Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/grad.py::conv3d_input:0 2025-12-04T09:12:24.4294384Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/grad.py::conv3d_weight:0, line 275 <- wrt source file 2025-12-04T09:12:24.4325797Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/grad.py::conv3d_weight:0 2025-12-04T09:12:24.4326968Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/init.py::calculate_gain:0, line 172 <- wrt source file 2025-12-04T09:12:24.4328758Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/init.py::calculate_gain:0 2025-12-04T09:12:24.4329817Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/init.py::uniform_:0, line 231 <- wrt source file 2025-12-04T09:12:24.4332255Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/init.py::uniform_:0 2025-12-04T09:12:24.4333196Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/init.py::normal_:0, line 258 <- wrt source file 2025-12-04T09:12:24.4334345Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/init.py::normal_:0 2025-12-04T09:12:24.4335324Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/init.py::trunc_normal_:0, line 293 <- wrt source file 2025-12-04T09:12:24.4348930Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/init.py::trunc_normal_:0 2025-12-04T09:12:24.4350128Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/init.py::constant_:0, line 307 <- wrt source file 2025-12-04T09:12:24.4352020Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/init.py::constant_:0 2025-12-04T09:12:24.4353087Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/init.py::ones_:0, line 324 <- wrt source file 2025-12-04T09:12:24.4354860Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/init.py::ones_:0 2025-12-04T09:12:24.4355921Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/init.py::zeros_:0, line 337 <- wrt source file 2025-12-04T09:12:24.4357586Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/init.py::zeros_:0 2025-12-04T09:12:24.4358645Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/init.py::eye_:0, line 353 <- wrt source file 2025-12-04T09:12:24.4360988Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/init.py::eye_:0 2025-12-04T09:12:24.4362011Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/init.py::dirac_:0, line 375 <- wrt source file 2025-12-04T09:12:24.4364361Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/init.py::dirac_:0 2025-12-04T09:12:24.4365368Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/init.py::xavier_uniform_:0, line 461 <- wrt source file 2025-12-04T09:12:24.4367347Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/init.py::xavier_uniform_:0 2025-12-04T09:12:24.4368670Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/init.py::xavier_normal_:0, line 493 <- wrt source file 2025-12-04T09:12:24.4369684Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/init.py::xavier_normal_:0 2025-12-04T09:12:24.4370774Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/init.py::kaiming_uniform_:0, line 545 <- wrt source file 2025-12-04T09:12:24.4371897Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/init.py::kaiming_uniform_:0 2025-12-04T09:12:24.4372807Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/init.py::kaiming_normal_:0, line 610 <- wrt source file 2025-12-04T09:12:24.4374233Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/init.py::kaiming_normal_:0 2025-12-04T09:12:24.4375142Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/init.py::orthogonal_:0, line 649 <- wrt source file 2025-12-04T09:12:24.4376046Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/init.py::orthogonal_:0 2025-12-04T09:12:24.4376889Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/init.py::sparse_:0, line 702 <- wrt source file 2025-12-04T09:12:24.4378576Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/init.py::sparse_:0 2025-12-04T09:12:24.4380262Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0, line 124 <- wrt source file 2025-12-04T09:12:24.4381337Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0 2025-12-04T09:12:24.4382604Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/attention/_registry.py::register_flash_attention_impl:0, line 47 <- wrt source file 2025-12-04T09:12:24.4383895Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/attention/_registry.py::register_flash_attention_impl:0 2025-12-04T09:12:24.4385044Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/attention/_registry.py::activate_flash_attention_impl:0, line 78 <- wrt source file 2025-12-04T09:12:24.4386208Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/attention/_registry.py::activate_flash_attention_impl:0 2025-12-04T09:12:24.4387265Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/attention/bias.py::CausalBias:0, line 94 <- wrt source file 2025-12-04T09:12:24.4388239Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/attention/bias.py::CausalBias:0 2025-12-04T09:12:24.4389208Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/attention/varlen.py::varlen_attn:0, line 166 <- wrt source file 2025-12-04T09:12:24.4390214Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/attention/varlen.py::varlen_attn:0 2025-12-04T09:12:24.4391188Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/activation.py::Threshold:0, line 72 <- wrt source file 2025-12-04T09:12:24.4399276Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/activation.py::Threshold:0 2025-12-04T09:12:24.4400253Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/activation.py::ReLU:0, line 120 <- wrt source file 2025-12-04T09:12:24.4405972Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/activation.py::ReLU:0 2025-12-04T09:12:24.4406922Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/activation.py::RReLU:0, line 185 <- wrt source file 2025-12-04T09:12:24.4409691Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/activation.py::RReLU:0 2025-12-04T09:12:24.4410682Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/activation.py::Hardtanh:0, line 247 <- wrt source file 2025-12-04T09:12:24.4412929Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/activation.py::Hardtanh:0 2025-12-04T09:12:24.4413898Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/activation.py::ReLU6:0, line 318 <- wrt source file 2025-12-04T09:12:24.4415758Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/activation.py::ReLU6:0 2025-12-04T09:12:24.4416721Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/activation.py::Sigmoid:0, line 349 <- wrt source file 2025-12-04T09:12:24.4418545Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/activation.py::Sigmoid:0 2025-12-04T09:12:24.4419541Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0, line 384 <- wrt source file 2025-12-04T09:12:24.4421725Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0 2025-12-04T09:12:24.4422814Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/activation.py::Tanh:0, line 420 <- wrt source file 2025-12-04T09:12:24.4425172Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/activation.py::Tanh:0 2025-12-04T09:12:24.4426210Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/activation.py::SiLU:0, line 456 <- wrt source file 2025-12-04T09:12:24.4436887Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/activation.py::SiLU:0 2025-12-04T09:12:24.4437910Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/activation.py::Mish:0, line 501 <- wrt source file 2025-12-04T09:12:24.4445678Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/activation.py::Mish:0 2025-12-04T09:12:24.4446638Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/activation.py::Hardswish:0, line 552 <- wrt source file 2025-12-04T09:12:24.4454239Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/activation.py::Hardswish:0 2025-12-04T09:12:24.4455267Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/activation.py::ELU:0, line 598 <- wrt source file 2025-12-04T09:12:24.4457356Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/activation.py::ELU:0 2025-12-04T09:12:24.4458374Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/activation.py::CELU:0, line 646 <- wrt source file 2025-12-04T09:12:24.4460341Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/activation.py::CELU:0 2025-12-04T09:12:24.4461435Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/activation.py::SELU:0, line 705 <- wrt source file 2025-12-04T09:12:24.4463140Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/activation.py::SELU:0 2025-12-04T09:12:24.4464207Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/activation.py::GLU:0, line 751 <- wrt source file 2025-12-04T09:12:24.4472528Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/activation.py::GLU:0 2025-12-04T09:12:24.4473521Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/activation.py::GELU:0, line 799 <- wrt source file 2025-12-04T09:12:24.4539195Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/activation.py::GELU:0 2025-12-04T09:12:24.4540362Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/activation.py::Hardshrink:0, line 848 <- wrt source file 2025-12-04T09:12:24.4551504Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/activation.py::Hardshrink:0 2025-12-04T09:12:24.4552514Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/activation.py::LeakyReLU:0, line 903 <- wrt source file 2025-12-04T09:12:24.4554453Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/activation.py::LeakyReLU:0 2025-12-04T09:12:24.4555474Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/activation.py::LogSigmoid:0, line 945 <- wrt source file 2025-12-04T09:12:24.4557260Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/activation.py::LogSigmoid:0 2025-12-04T09:12:24.4558310Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/activation.py::Softplus:0, line 981 <- wrt source file 2025-12-04T09:12:24.4560087Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/activation.py::Softplus:0 2025-12-04T09:12:24.4561158Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/activation.py::Softshrink:0, line 1030 <- wrt source file 2025-12-04T09:12:24.4563012Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/activation.py::Softshrink:0 2025-12-04T09:12:24.4564061Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0, line 1148 <- wrt source file 2025-12-04T09:12:24.4565199Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0 2025-12-04T09:12:24.4566216Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/activation.py::PReLU:0, line 1613 <- wrt source file 2025-12-04T09:12:24.4567225Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/activation.py::PReLU:0 2025-12-04T09:12:24.4568315Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/activation.py::Softsign:0, line 1664 <- wrt source file 2025-12-04T09:12:24.4570958Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/activation.py::Softsign:0 2025-12-04T09:12:24.4572305Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/activation.py::Tanhshrink:0, line 1690 <- wrt source file 2025-12-04T09:12:24.4573449Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/activation.py::Tanhshrink:0 2025-12-04T09:12:24.4574512Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/activation.py::Softmin:0, line 1728 <- wrt source file 2025-12-04T09:12:24.4576129Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/activation.py::Softmin:0 2025-12-04T09:12:24.4577209Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/activation.py::Softmax:0, line 1792 <- wrt source file 2025-12-04T09:12:24.4578989Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/activation.py::Softmax:0 2025-12-04T09:12:24.4580467Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/activation.py::Softmax2d:0, line 1839 <- wrt source file 2025-12-04T09:12:24.4582646Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/activation.py::Softmax2d:0 2025-12-04T09:12:24.4586119Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/activation.py::LogSoftmax:0, line 1878 <- wrt source file 2025-12-04T09:12:24.4587183Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/activation.py::LogSoftmax:0 2025-12-04T09:12:24.4588274Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0, line 341 <- wrt source file 2025-12-04T09:12:24.4627858Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0 2025-12-04T09:12:24.4629126Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0, line 453 <- wrt source file 2025-12-04T09:12:24.4758408Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0 2025-12-04T09:12:24.4759414Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0, line 565 <- wrt source file 2025-12-04T09:12:24.6347753Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0 2025-12-04T09:12:24.6461905Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm:0, line 690 <- wrt source file 2025-12-04T09:12:24.6464136Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm:0 2025-12-04T09:12:24.6465484Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm.convert_sync_batchnorm:0, line 857 <- wrt source file 2025-12-04T09:12:24.6466925Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm.convert_sync_batchnorm:0 2025-12-04T09:12:24.6468225Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0, line 21 <- wrt source file 2025-12-04T09:12:24.6488879Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0 2025-12-04T09:12:24.6490024Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/container.py::Sequential:0, line 81 <- wrt source file 2025-12-04T09:12:24.6491124Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/container.py::Sequential:0 2025-12-04T09:12:24.6492190Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/container.py::Sequential.append:0, line 263 <- wrt source file 2025-12-04T09:12:24.6497988Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/container.py::Sequential.append:0 2025-12-04T09:12:24.6499114Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/container.py::Sequential.insert:0, line 286 <- wrt source file 2025-12-04T09:12:24.6504604Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/container.py::Sequential.insert:0 2025-12-04T09:12:24.6505804Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/container.py::Sequential.extend:0, line 317 <- wrt source file 2025-12-04T09:12:24.6510082Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/container.py::Sequential.extend:0 2025-12-04T09:12:24.6511484Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/container.py::ModuleList:0, line 346 <- wrt source file 2025-12-04T09:12:24.6512669Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/container.py::ModuleList:0 2025-12-04T09:12:24.6513671Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/container.py::ModuleDict:0, line 529 <- wrt source file 2025-12-04T09:12:24.6514678Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/container.py::ModuleDict:0 2025-12-04T09:12:24.6515715Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/container.py::ParameterList:0, line 661 <- wrt source file 2025-12-04T09:12:24.6516745Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/container.py::ParameterList:0 2025-12-04T09:12:24.6517777Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/container.py::ParameterDict:0, line 819 <- wrt source file 2025-12-04T09:12:24.6518818Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/container.py::ParameterDict:0 2025-12-04T09:12:24.6519880Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0, line 38 <- wrt source file 2025-12-04T09:12:24.6520909Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0 2025-12-04T09:12:24.6521916Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0, line 81 <- wrt source file 2025-12-04T09:12:24.6525141Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0 2025-12-04T09:12:24.6526172Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/dropout.py::Dropout:0, line 60 <- wrt source file 2025-12-04T09:12:24.6528971Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/dropout.py::Dropout:0 2025-12-04T09:12:24.6529969Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/dropout.py::Dropout1d:0, line 108 <- wrt source file 2025-12-04T09:12:24.6532638Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/dropout.py::Dropout1d:0 2025-12-04T09:12:24.6533650Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/dropout.py::Dropout2d:0, line 163 <- wrt source file 2025-12-04T09:12:24.6548055Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/dropout.py::Dropout2d:0 2025-12-04T09:12:24.6549022Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/dropout.py::Dropout3d:0, line 211 <- wrt source file 2025-12-04T09:12:24.6594351Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/dropout.py::Dropout3d:0 2025-12-04T09:12:24.6595461Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0, line 257 <- wrt source file 2025-12-04T09:12:24.6599158Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0 2025-12-04T09:12:24.6600212Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0, line 309 <- wrt source file 2025-12-04T09:12:24.6646359Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0 2025-12-04T09:12:24.6647594Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/flatten.py::Flatten:0, line 29 <- wrt source file 2025-12-04T09:12:24.6651516Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/flatten.py::Flatten:0 2025-12-04T09:12:24.6652542Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/flatten.py::Unflatten:0, line 86 <- wrt source file 2025-12-04T09:12:24.6662516Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/flatten.py::Unflatten:0 2025-12-04T09:12:24.6663544Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/fold.py::Fold:0, line 224 <- wrt source file 2025-12-04T09:12:24.6667052Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/fold.py::Fold:0 2025-12-04T09:12:24.6667953Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/fold.py::Unfold:0, line 395 <- wrt source file 2025-12-04T09:12:24.6699087Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/fold.py::Unfold:0 2025-12-04T09:12:24.6700181Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0, line 188 <- wrt source file 2025-12-04T09:12:24.6710141Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0 2025-12-04T09:12:24.6711208Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0, line 304 <- wrt source file 2025-12-04T09:12:24.6827162Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0 2025-12-04T09:12:24.6828234Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0, line 420 <- wrt source file 2025-12-04T09:12:24.8412916Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0 2025-12-04T09:12:24.8528433Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0, line 77 <- wrt source file 2025-12-04T09:12:24.8531571Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0 2025-12-04T09:12:24.8532505Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/linear.py::Identity:0, line 34 <- wrt source file 2025-12-04T09:12:24.8537823Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/linear.py::Identity:0 2025-12-04T09:12:24.8538731Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/linear.py::Linear:0, line 83 <- wrt source file 2025-12-04T09:12:24.8560929Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/linear.py::Linear:0 2025-12-04T09:12:24.8561955Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/linear.py::Bilinear:0, line 191 <- wrt source file 2025-12-04T09:12:24.8573389Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/linear.py::Bilinear:0 2025-12-04T09:12:24.8574363Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/loss.py::L1Loss:0, line 116 <- wrt source file 2025-12-04T09:12:24.8579950Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/loss.py::L1Loss:0 2025-12-04T09:12:24.8581166Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/loss.py::NLLLoss:0, line 213 <- wrt source file 2025-12-04T09:12:24.8601366Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/loss.py::NLLLoss:0 2025-12-04T09:12:24.8602490Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0, line 327 <- wrt source file 2025-12-04T09:12:24.8607690Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0 2025-12-04T09:12:24.8608642Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0, line 416 <- wrt source file 2025-12-04T09:12:24.8618716Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0 2025-12-04T09:12:24.8619668Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/loss.py::KLDivLoss:0, line 531 <- wrt source file 2025-12-04T09:12:24.8625644Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/loss.py::KLDivLoss:0 2025-12-04T09:12:24.8626547Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/loss.py::MSELoss:0, line 613 <- wrt source file 2025-12-04T09:12:24.8641215Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/loss.py::MSELoss:0 2025-12-04T09:12:24.8642103Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/loss.py::BCELoss:0, line 696 <- wrt source file 2025-12-04T09:12:24.8646793Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/loss.py::BCELoss:0 2025-12-04T09:12:24.8647775Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0, line 762 <- wrt source file 2025-12-04T09:12:24.8656167Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0 2025-12-04T09:12:24.8657184Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1, line 810 <- wrt source file 2025-12-04T09:12:24.8661800Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1 2025-12-04T09:12:24.8662919Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0, line 958 <- wrt source file 2025-12-04T09:12:24.8669005Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0 2025-12-04T09:12:24.8670000Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0, line 1284 <- wrt source file 2025-12-04T09:12:24.8676076Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0 2025-12-04T09:12:24.8677075Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1, line 1311 <- wrt source file 2025-12-04T09:12:24.8678583Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1 2025-12-04T09:12:24.8679599Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0, line 1464 <- wrt source file 2025-12-04T09:12:24.8685650Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0 2025-12-04T09:12:24.8686658Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0, line 1531 <- wrt source file 2025-12-04T09:12:24.8691593Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0 2025-12-04T09:12:24.8692780Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0, line 1612 <- wrt source file 2025-12-04T09:12:24.8698549Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0 2025-12-04T09:12:24.8699528Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0, line 1714 <- wrt source file 2025-12-04T09:12:24.8708708Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0 2025-12-04T09:12:24.8710047Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/loss.py::TripletMarginWithDistanceLoss:0, line 1827 <- wrt source file 2025-12-04T09:12:24.8733017Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/loss.py::TripletMarginWithDistanceLoss:0 2025-12-04T09:12:24.8734047Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/loss.py::CTCLoss:0, line 1959 <- wrt source file 2025-12-04T09:12:24.8756638Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/loss.py::CTCLoss:0 2025-12-04T09:12:24.8757634Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/module.py::Module.register_buffer:0, line 554 <- wrt source file 2025-12-04T09:12:24.8758692Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/module.py::Module.register_buffer:0 2025-12-04T09:12:24.8759672Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/module.py::Module.apply:0, line 1048 <- wrt source file 2025-12-04T09:12:24.8768992Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/module.py::Module.apply:0 2025-12-04T09:12:24.8769943Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/module.py::Module.to:0, line 1299 <- wrt source file 2025-12-04T09:12:24.8775232Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/module.py::Module.to:0 2025-12-04T09:12:24.8776175Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/module.py::Module.state_dict:0, line 2232 <- wrt source file 2025-12-04T09:12:24.8777312Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/module.py::Module.state_dict:0 2025-12-04T09:12:24.8778387Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/module.py::Module.parameters:0, line 2678 <- wrt source file 2025-12-04T09:12:24.8779497Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/module.py::Module.parameters:0 2025-12-04T09:12:24.8780781Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/module.py::Module.named_parameters:0, line 2706 <- wrt source file 2025-12-04T09:12:24.8782001Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/module.py::Module.named_parameters:0 2025-12-04T09:12:24.8783098Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/module.py::Module.buffers:0, line 2733 <- wrt source file 2025-12-04T09:12:24.8784169Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/module.py::Module.buffers:0 2025-12-04T09:12:24.8785261Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/module.py::Module.named_buffers:0, line 2760 <- wrt source file 2025-12-04T09:12:24.8786371Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/module.py::Module.named_buffers:0 2025-12-04T09:12:24.8787630Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/module.py::Module.named_children:0, line 2791 <- wrt source file 2025-12-04T09:12:24.8788855Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/module.py::Module.named_children:0 2025-12-04T09:12:24.8789945Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/module.py::Module.modules:0, line 2815 <- wrt source file 2025-12-04T09:12:24.8790927Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/module.py::Module.modules:0 2025-12-04T09:12:24.8791906Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/module.py::Module.named_modules:0, line 2853 <- wrt source file 2025-12-04T09:12:24.8792945Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/module.py::Module.named_modules:0 2025-12-04T09:12:24.8793995Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0, line 38 <- wrt source file 2025-12-04T09:12:24.8813837Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0 2025-12-04T09:12:24.8814892Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/normalization.py::LayerNorm:0, line 163 <- wrt source file 2025-12-04T09:12:24.8829976Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/normalization.py::LayerNorm:0 2025-12-04T09:12:24.8831149Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/normalization.py::GroupNorm:0, line 274 <- wrt source file 2025-12-04T09:12:24.8844268Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/normalization.py::GroupNorm:0 2025-12-04T09:12:24.8845282Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/normalization.py::RMSNorm:0, line 369 <- wrt source file 2025-12-04T09:12:24.8848441Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/normalization.py::RMSNorm:0 2025-12-04T09:12:24.8849489Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/padding.py::CircularPad1d:0, line 70 <- wrt source file 2025-12-04T09:12:24.8853155Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/padding.py::CircularPad1d:0 2025-12-04T09:12:24.8854182Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/padding.py::CircularPad2d:0, line 123 <- wrt source file 2025-12-04T09:12:24.8868806Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/padding.py::CircularPad2d:0 2025-12-04T09:12:24.8870007Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/padding.py::CircularPad3d:0, line 189 <- wrt source file 2025-12-04T09:12:25.3125949Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/padding.py::CircularPad3d:0 2025-12-04T09:12:25.3326189Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0, line 244 <- wrt source file 2025-12-04T09:12:25.3335892Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0 2025-12-04T09:12:25.3337004Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0, line 298 <- wrt source file 2025-12-04T09:12:25.3340090Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0 2025-12-04T09:12:25.3341323Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0, line 355 <- wrt source file 2025-12-04T09:12:25.3356263Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0 2025-12-04T09:12:25.3357299Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0, line 401 <- wrt source file 2025-12-04T09:12:25.3377994Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0 2025-12-04T09:12:25.3379007Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0, line 446 <- wrt source file 2025-12-04T09:12:25.3382722Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0 2025-12-04T09:12:25.3383937Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0, line 505 <- wrt source file 2025-12-04T09:12:25.3395185Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0 2025-12-04T09:12:25.3396205Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0, line 565 <- wrt source file 2025-12-04T09:12:25.3398961Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0 2025-12-04T09:12:25.3399995Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0, line 610 <- wrt source file 2025-12-04T09:12:25.3412604Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0 2025-12-04T09:12:25.3413664Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0, line 669 <- wrt source file 2025-12-04T09:12:25.6744938Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0 2025-12-04T09:12:25.6939675Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0, line 704 <- wrt source file 2025-12-04T09:12:25.6949630Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0 2025-12-04T09:12:25.6950592Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0, line 762 <- wrt source file 2025-12-04T09:12:25.6954116Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0 2025-12-04T09:12:25.6955096Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0, line 824 <- wrt source file 2025-12-04T09:12:25.6969745Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0 2025-12-04T09:12:25.6970743Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0, line 40 <- wrt source file 2025-12-04T09:12:25.6975161Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0 2025-12-04T09:12:25.6976217Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0, line 99 <- wrt source file 2025-12-04T09:12:25.6978941Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0 2025-12-04T09:12:25.6980552Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0, line 129 <- wrt source file 2025-12-04T09:12:25.6983319Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0 2025-12-04T09:12:25.6984264Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0, line 207 <- wrt source file 2025-12-04T09:12:25.7037914Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0 2025-12-04T09:12:25.7038871Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0, line 291 <- wrt source file 2025-12-04T09:12:25.8633806Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0 2025-12-04T09:12:25.8674991Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0, line 366 <- wrt source file 2025-12-04T09:12:25.8686185Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0 2025-12-04T09:12:25.8687170Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/pooling.py::MaxUnpool2d:0, line 452 <- wrt source file 2025-12-04T09:12:25.8704646Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/pooling.py::MaxUnpool2d:0 2025-12-04T09:12:25.8705887Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0, line 550 <- wrt source file 2025-12-04T09:12:25.9255212Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0 2025-12-04T09:12:25.9256283Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0, line 642 <- wrt source file 2025-12-04T09:12:25.9276414Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0 2025-12-04T09:12:25.9277383Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0, line 738 <- wrt source file 2025-12-04T09:12:25.9300858Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0 2025-12-04T09:12:25.9302140Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0, line 855 <- wrt source file 2025-12-04T09:12:26.0359598Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0 2025-12-04T09:12:26.0402643Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0, line 946 <- wrt source file 2025-12-04T09:12:26.0438042Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0 2025-12-04T09:12:26.0439149Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0, line 1033 <- wrt source file 2025-12-04T09:12:26.0904123Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0 2025-12-04T09:12:26.0905182Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/pooling.py::LPPool1d:0, line 1156 <- wrt source file 2025-12-04T09:12:26.0911723Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/pooling.py::LPPool1d:0 2025-12-04T09:12:26.0913138Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/pooling.py::LPPool2d:0, line 1212 <- wrt source file 2025-12-04T09:12:26.0943952Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/pooling.py::LPPool2d:0 2025-12-04T09:12:26.0944918Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/pooling.py::LPPool3d:0, line 1276 <- wrt source file 2025-12-04T09:12:26.2322836Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/pooling.py::LPPool3d:0 2025-12-04T09:12:26.2365600Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0, line 1332 <- wrt source file 2025-12-04T09:12:26.2384308Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0 2025-12-04T09:12:26.2385619Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0, line 1367 <- wrt source file 2025-12-04T09:12:26.2391026Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0 2025-12-04T09:12:26.2392095Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0, line 1411 <- wrt source file 2025-12-04T09:12:26.2408436Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0 2025-12-04T09:12:26.2409523Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0, line 1459 <- wrt source file 2025-12-04T09:12:26.2423529Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0 2025-12-04T09:12:26.2424626Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0, line 1493 <- wrt source file 2025-12-04T09:12:26.2429386Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0 2025-12-04T09:12:26.2440923Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0, line 1533 <- wrt source file 2025-12-04T09:12:26.2442020Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0 2025-12-04T09:12:26.2442982Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/rnn.py::RNN:0, line 598 <- wrt source file 2025-12-04T09:12:26.2450529Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/rnn.py::RNN:0 2025-12-04T09:12:26.2451716Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/rnn.py::LSTM:0, line 963 <- wrt source file 2025-12-04T09:12:26.2770064Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/rnn.py::LSTM:0 2025-12-04T09:12:26.2770976Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/rnn.py::GRU:0, line 1305 <- wrt source file 2025-12-04T09:12:26.2783244Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/rnn.py::GRU:0 2025-12-04T09:12:26.2784504Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/rnn.py::RNNCell:0, line 1561 <- wrt source file 2025-12-04T09:12:26.2791558Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/rnn.py::RNNCell:0 2025-12-04T09:12:26.2793298Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/rnn.py::LSTMCell:0, line 1683 <- wrt source file 2025-12-04T09:12:26.2811953Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/rnn.py::LSTMCell:0 2025-12-04T09:12:26.2813268Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/rnn.py::GRUCell:0, line 1797 <- wrt source file 2025-12-04T09:12:26.2820617Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/rnn.py::GRUCell:0 2025-12-04T09:12:26.2821923Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/sparse.py::Embedding:0, line 71 <- wrt source file 2025-12-04T09:12:26.2832212Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/sparse.py::Embedding:0 2025-12-04T09:12:26.2833466Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0, line 243 <- wrt source file 2025-12-04T09:12:26.2837513Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0 2025-12-04T09:12:26.2838776Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/sparse.py::EmbeddingBag:0, line 324 <- wrt source file 2025-12-04T09:12:26.2849069Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/sparse.py::EmbeddingBag:0 2025-12-04T09:12:26.2850170Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0, line 523 <- wrt source file 2025-12-04T09:12:26.2853988Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0 2025-12-04T09:12:26.2855071Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/transformer.py::Transformer:0, line 91 <- wrt source file 2025-12-04T09:12:26.8462914Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/transformer.py::Transformer:0 2025-12-04T09:12:26.8474877Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/transformer.py::Transformer.forward:0, line 267 <- wrt source file 2025-12-04T09:12:26.8476107Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/transformer.py::Transformer.forward:0 2025-12-04T09:12:26.8477175Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0, line 345 <- wrt source file 2025-12-04T09:12:26.9261623Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0 2025-12-04T09:12:26.9303056Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0, line 578 <- wrt source file 2025-12-04T09:12:27.1062292Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0 2025-12-04T09:12:27.1067272Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0, line 702 <- wrt source file 2025-12-04T09:12:27.1267991Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0 2025-12-04T09:12:27.1269336Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0, line 1014 <- wrt source file 2025-12-04T09:12:27.1659115Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0 2025-12-04T09:12:27.1660861Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/upsampling.py::Upsample:0, line 77 <- wrt source file 2025-12-04T09:12:27.1705984Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/upsampling.py::Upsample:0 2025-12-04T09:12:27.1707053Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0, line 229 <- wrt source file 2025-12-04T09:12:27.1715694Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0 2025-12-04T09:12:27.1716828Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0, line 279 <- wrt source file 2025-12-04T09:12:27.1721940Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0 2025-12-04T09:12:27.1723049Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0, line 128 <- wrt source file 2025-12-04T09:12:27.1724182Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0 2025-12-04T09:12:27.1725332Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0, line 644 <- wrt source file 2025-12-04T09:12:27.1726530Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0 2025-12-04T09:12:27.1727761Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0, line 1451 <- wrt source file 2025-12-04T09:12:27.1729076Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0 2025-12-04T09:12:27.1730288Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.join:0, line 1838 <- wrt source file 2025-12-04T09:12:27.1731514Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.join:0 2025-12-04T09:12:27.1732774Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0, line 2004 <- wrt source file 2025-12-04T09:12:27.1734109Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0 2025-12-04T09:12:27.1735421Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1, line 2014 <- wrt source file 2025-12-04T09:12:27.1736734Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1 2025-12-04T09:12:27.1738075Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0, line 2049 <- wrt source file 2025-12-04T09:12:27.1739457Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0 2025-12-04T09:12:27.1740982Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_fused_optim:0, line 2107 <- wrt source file 2025-12-04T09:12:27.1742494Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_fused_optim:0 2025-12-04T09:12:27.1743783Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/utils/_per_sample_grad.py::call_for_per_sample_grads:0, line 35 <- wrt source file 2025-12-04T09:12:27.1744958Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/utils/_per_sample_grad.py::call_for_per_sample_grads:0 2025-12-04T09:12:27.1745978Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/utils/init.py::skip_init:0, line 33 <- wrt source file 2025-12-04T09:12:27.1746933Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/utils/init.py::skip_init:0 2025-12-04T09:12:27.1748028Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/utils/memory_format.py::convert_conv2d_weight_memory_format:0, line 64 <- wrt source file 2025-12-04T09:12:27.1749244Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/utils/memory_format.py::convert_conv2d_weight_memory_format:0 2025-12-04T09:12:27.1750419Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/utils/memory_format.py::convert_conv3d_weight_memory_format:0, line 143 <- wrt source file 2025-12-04T09:12:27.1751619Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/utils/memory_format.py::convert_conv3d_weight_memory_format:0 2025-12-04T09:12:27.1752746Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0, line 267 <- wrt source file 2025-12-04T09:12:27.1753834Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0 2025-12-04T09:12:27.1754902Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0, line 362 <- wrt source file 2025-12-04T09:12:27.1756014Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0 2025-12-04T09:12:27.1757116Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0, line 593 <- wrt source file 2025-12-04T09:12:27.1758222Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0 2025-12-04T09:12:27.1759233Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/utils/prune.py::identity:0, line 852 <- wrt source file 2025-12-04T09:12:27.1760192Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/utils/prune.py::identity:0 2025-12-04T09:12:27.1761184Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/utils/prune.py::random_unstructured:0, line 888 <- wrt source file 2025-12-04T09:12:27.1762242Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/utils/prune.py::random_unstructured:0 2025-12-04T09:12:27.1763277Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/utils/prune.py::l1_unstructured:0, line 931 <- wrt source file 2025-12-04T09:12:27.1764286Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/utils/prune.py::l1_unstructured:0 2025-12-04T09:12:27.1765273Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/utils/prune.py::random_structured:0, line 971 <- wrt source file 2025-12-04T09:12:27.1766312Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/utils/prune.py::random_structured:0 2025-12-04T09:12:27.1767408Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/utils/prune.py::ln_structured:0, line 1017 <- wrt source file 2025-12-04T09:12:27.1785366Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/utils/prune.py::ln_structured:0 2025-12-04T09:12:27.1786614Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/utils/prune.py::global_unstructured:0, line 1072 <- wrt source file 2025-12-04T09:12:27.1798704Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/utils/prune.py::global_unstructured:0 2025-12-04T09:12:27.1799719Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/utils/prune.py::custom_from_mask:0, line 1175 <- wrt source file 2025-12-04T09:12:27.1806649Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/utils/prune.py::custom_from_mask:0 2025-12-04T09:12:27.1807607Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/utils/prune.py::remove:0, line 1203 <- wrt source file 2025-12-04T09:12:27.1812116Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/utils/prune.py::remove:0 2025-12-04T09:12:27.1813062Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/utils/prune.py::is_pruned:0, line 1231 <- wrt source file 2025-12-04T09:12:27.1818625Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/utils/prune.py::is_pruned:0 2025-12-04T09:12:27.1819578Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/utils/rnn.py::pad_packed_sequence:0, line 359 <- wrt source file 2025-12-04T09:12:27.1830935Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/utils/rnn.py::pad_packed_sequence:0 2025-12-04T09:12:27.1832045Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/utils/rnn.py::pad_sequence:0, line 439 <- wrt source file 2025-12-04T09:12:27.1835221Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/utils/rnn.py::pad_sequence:0 2025-12-04T09:12:27.1836202Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0, line 500 <- wrt source file 2025-12-04T09:12:27.1844498Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0 2025-12-04T09:12:27.1845455Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/utils/rnn.py::pack_sequence:0, line 556 <- wrt source file 2025-12-04T09:12:27.1850499Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/utils/rnn.py::pack_sequence:0 2025-12-04T09:12:27.1851451Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0, line 584 <- wrt source file 2025-12-04T09:12:27.1862062Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0 2025-12-04T09:12:27.1863134Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0, line 314 <- wrt source file 2025-12-04T09:12:27.1867731Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0 2025-12-04T09:12:27.1868843Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0, line 347 <- wrt source file 2025-12-04T09:12:27.1872592Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0 2025-12-04T09:12:27.1873688Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/utils/stateless.py::functional_call:0, line 193 <- wrt source file 2025-12-04T09:12:27.1875823Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/utils/stateless.py::functional_call:0 2025-12-04T09:12:27.1877042Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0, line 134 <- wrt source file 2025-12-04T09:12:27.1887710Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0 2025-12-04T09:12:27.1888735Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0, line 156 <- wrt source file 2025-12-04T09:12:27.1892994Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0 2025-12-04T09:12:27.1894057Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0, line 315 <- wrt source file 2025-12-04T09:12:27.1895201Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0 2025-12-04T09:12:27.1896431Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/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 2025-12-04T09:12:27.1897831Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/utils/_expanded_weights/expanded_weights_utils.py::sum_over_all_but_batch_and_last_n:0 2025-12-04T09:12:27.1898992Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0, line 357 <- wrt source file 2025-12-04T09:12:27.1900105Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0 2025-12-04T09:12:27.1901291Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0, line 483 <- wrt source file 2025-12-04T09:12:27.1902738Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0 2025-12-04T09:12:27.1903907Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/optim/lr_scheduler.py::StepLR:0, line 608 <- wrt source file 2025-12-04T09:12:27.1905043Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/optim/lr_scheduler.py::StepLR:0 2025-12-04T09:12:27.1906208Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0, line 695 <- wrt source file 2025-12-04T09:12:27.1907209Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0 2025-12-04T09:12:27.1908173Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0, line 791 <- wrt source file 2025-12-04T09:12:27.1909159Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0 2025-12-04T09:12:27.1910121Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/optim/lr_scheduler.py::LinearLR:0, line 898 <- wrt source file 2025-12-04T09:12:27.1911075Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/optim/lr_scheduler.py::LinearLR:0 2025-12-04T09:12:27.1912036Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0, line 1020 <- wrt source file 2025-12-04T09:12:27.1913049Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0 2025-12-04T09:12:27.1914041Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0, line 1097 <- wrt source file 2025-12-04T09:12:27.1915112Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0 2025-12-04T09:12:27.1916104Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0, line 1249 <- wrt source file 2025-12-04T09:12:27.1917172Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0 2025-12-04T09:12:27.1918175Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0, line 1378 <- wrt source file 2025-12-04T09:12:27.1919243Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0 2025-12-04T09:12:27.1920262Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0, line 1490 <- wrt source file 2025-12-04T09:12:27.1921306Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0 2025-12-04T09:12:27.1922374Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0, line 1863 <- wrt source file 2025-12-04T09:12:27.1923347Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0 2025-12-04T09:12:27.1924393Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts:0, line 2129 <- wrt source file 2025-12-04T09:12:27.1925550Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts:0 2025-12-04T09:12:27.1926718Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0, line 2211 <- wrt source file 2025-12-04T09:12:27.1927930Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0 2025-12-04T09:12:27.1929104Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1, line 2227 <- wrt source file 2025-12-04T09:12:27.1930312Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1 2025-12-04T09:12:27.1931379Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0, line 2367 <- wrt source file 2025-12-04T09:12:27.1932386Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0 2025-12-04T09:12:27.1933436Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/optim/optimizer.py::Optimizer.load_state_dict:0, line 900 <- wrt source file 2025-12-04T09:12:27.1934570Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/optim/optimizer.py::Optimizer.load_state_dict:0 2025-12-04T09:12:27.1935628Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/optim/swa_utils.py::AveragedModel:0, line 155 <- wrt source file 2025-12-04T09:12:27.1936663Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/optim/swa_utils.py::AveragedModel:0 2025-12-04T09:12:27.1937752Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/optim/swa_utils.py::AveragedModel:1, line 181 <- wrt source file 2025-12-04T09:12:27.1938774Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/optim/swa_utils.py::AveragedModel:1 2025-12-04T09:12:27.1939769Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/optim/swa_utils.py::update_bn:0, line 350 <- wrt source file 2025-12-04T09:12:27.1941027Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/optim/swa_utils.py::update_bn:0 2025-12-04T09:12:27.1942078Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/optim/swa_utils.py::SWALR:0, line 409 <- wrt source file 2025-12-04T09:12:27.1943020Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/optim/swa_utils.py::SWALR:0 2025-12-04T09:12:27.1943981Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/package/glob_group.py::GlobGroup:0, line 22 <- wrt source file 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SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/sparse/semi_structured.py::to_sparse_semi_structured:0 2025-12-04T09:12:27.1952708Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/testing/_comparison.py::assert_close:0, line 1477 <- wrt source file 2025-12-04T09:12:27.1953741Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/testing/_comparison.py::assert_close:0 2025-12-04T09:12:27.1954712Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/testing/_creation.py::make_tensor:0, line 114 <- wrt source file 2025-12-04T09:12:27.1955705Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/testing/_creation.py::make_tensor:0 2025-12-04T09:12:27.1956712Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/testing/_internal/common_utils.py::parametrize:0, line 648 <- wrt source file 2025-12-04T09:12:27.1957814Z * SKIPPED: 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/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/testing/_internal/optests/autograd_registration.py::autograd_registration_check:0, line 29 <- wrt source file 2025-12-04T09:12:27.1979438Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/testing/_internal/optests/autograd_registration.py::autograd_registration_check:0 2025-12-04T09:12:27.1980794Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/_cxx_pytree.py::register_pytree_node:0, line 159 <- wrt source file 2025-12-04T09:12:27.1982008Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/_cxx_pytree.py::register_pytree_node:0 2025-12-04T09:12:27.1983059Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/_cxx_pytree.py::tree_is_leaf:0, line 316 <- wrt source file 2025-12-04T09:12:27.1984066Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/_cxx_pytree.py::tree_is_leaf:0 2025-12-04T09:12:27.1985044Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0, line 359 <- wrt source file 2025-12-04T09:12:27.1987749Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0 2025-12-04T09:12:27.1988758Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0, line 396 <- wrt source file 2025-12-04T09:12:27.1991067Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0 2025-12-04T09:12:27.1992062Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0, line 429 <- wrt source file 2025-12-04T09:12:27.2009913Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0 2025-12-04T09:12:27.2010998Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0, line 464 <- wrt source file 2025-12-04T09:12:27.2013289Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0 2025-12-04T09:12:27.2014342Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0, line 499 <- wrt source file 2025-12-04T09:12:27.2018341Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0 2025-12-04T09:12:27.2019339Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/_cxx_pytree.py::tree_map:0, line 536 <- wrt source file 2025-12-04T09:12:27.2023307Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/_cxx_pytree.py::tree_map:0 2025-12-04T09:12:27.2024312Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0, line 929 <- wrt source file 2025-12-04T09:12:27.2029532Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0 2025-12-04T09:12:27.2030534Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/_pytree.py::register_dataclass:0, line 308 <- wrt source file 2025-12-04T09:12:27.2038492Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/_pytree.py::register_dataclass:0 2025-12-04T09:12:27.2039571Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/_pytree.py::register_constant:0, line 428 <- wrt source file 2025-12-04T09:12:27.2046746Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/_pytree.py::register_constant:0 2025-12-04T09:12:27.2047951Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/_pytree.py::tree_is_leaf:0, line 1058 <- wrt source file 2025-12-04T09:12:27.2051635Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/_pytree.py::tree_is_leaf:0 2025-12-04T09:12:27.2052783Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/_pytree.py::tree_map:0, line 1497 <- wrt source file 2025-12-04T09:12:27.2056695Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/_pytree.py::tree_map:0 2025-12-04T09:12:27.2057837Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0, line 71 <- wrt source file 2025-12-04T09:12:27.2059106Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0 2025-12-04T09:12:27.2060498Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/backend_registration.py::generate_methods_for_privateuse1_backend:0, line 382 <- wrt source file 2025-12-04T09:12:27.2062013Z * SKIPPED: 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SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/checkpoint.py::set_checkpoint_early_stop:0 2025-12-04T09:12:27.2070208Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/checkpoint.py::SelectiveCheckpointContext:0, line 1257 <- wrt source file 2025-12-04T09:12:27.2071434Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/checkpoint.py::SelectiveCheckpointContext:0 2025-12-04T09:12:27.2072617Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/checkpoint.py::create_selective_checkpoint_contexts:0, line 1421 <- wrt source file 2025-12-04T09:12:27.2073858Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/checkpoint.py::create_selective_checkpoint_contexts:0 2025-12-04T09:12:27.2075015Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/cpp_extension.py::CppExtension:0, line 1247 <- wrt source file 2025-12-04T09:12:27.2076089Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/cpp_extension.py::CppExtension:0 2025-12-04T09:12:27.2077128Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/cpp_extension.py::CUDAExtension:0, line 1319 <- wrt source file 2025-12-04T09:12:27.2078178Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/cpp_extension.py::CUDAExtension:0 2025-12-04T09:12:27.2079215Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/cpp_extension.py::CUDAExtension:1, line 1397 <- wrt source file 2025-12-04T09:12:27.2080263Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/cpp_extension.py::CUDAExtension:1 2025-12-04T09:12:27.2081308Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/cpp_extension.py::SyclExtension:0, line 1509 <- wrt source file 2025-12-04T09:12:27.2082372Z * SKIPPED: 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2025-12-04T09:12:27.2089411Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/throughput_benchmark.py::ThroughputBenchmark:0, line 78 <- wrt source file 2025-12-04T09:12:27.2090841Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/throughput_benchmark.py::ThroughputBenchmark:0 2025-12-04T09:12:27.2091652Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0, line 742 <- wrt source file 2025-12-04T09:12:27.2430092Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0 2025-12-04T09:12:27.2431424Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/data/dataset.py::IterableDataset:0, line 94 <- wrt source file 2025-12-04T09:12:27.2435915Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/data/dataset.py::IterableDataset:0 2025-12-04T09:12:27.2437064Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/data/dataset.py::StackDataset:0, line 218 <- wrt source file 2025-12-04T09:12:27.2438183Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/data/dataset.py::StackDataset:0 2025-12-04T09:12:27.2439282Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/data/dataset.py::random_split:0, line 438 <- wrt source file 2025-12-04T09:12:27.2440400Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/data/dataset.py::random_split:0 2025-12-04T09:12:27.2441534Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/data/distributed.py::DistributedSampler:0, line 55 <- wrt source file 2025-12-04T09:12:27.2442732Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/data/distributed.py::DistributedSampler:0 2025-12-04T09:12:27.2443836Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/data/sampler.py::Sampler:0, line 36 <- wrt source file 2025-12-04T09:12:27.2444912Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/data/sampler.py::Sampler:0 2025-12-04T09:12:27.2446027Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0, line 225 <- wrt source file 2025-12-04T09:12:27.2447257Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0 2025-12-04T09:12:27.2448702Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/data/sampler.py::BatchSampler:0, line 296 <- wrt source file 2025-12-04T09:12:27.2449858Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/data/sampler.py::BatchSampler:0 2025-12-04T09:12:27.2450914Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/data/_utils/collate.py::default_convert:0, line 39 <- wrt source file 2025-12-04T09:12:27.2452514Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/data/_utils/collate.py::default_convert:0 2025-12-04T09:12:27.2453790Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/data/_utils/collate.py::collate:0, line 137 <- wrt source file 2025-12-04T09:12:27.2455809Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/data/_utils/collate.py::collate:0 2025-12-04T09:12:27.2457056Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/data/_utils/collate.py::default_collate:0, line 367 <- wrt source file 2025-12-04T09:12:27.2460585Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/data/_utils/collate.py::default_collate:0 2025-12-04T09:12:27.2462145Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/data/datapipes/datapipe.py::IterDataPipe:0, line 97 <- wrt source file 2025-12-04T09:12:27.2463994Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/data/datapipes/datapipe.py::IterDataPipe:0 2025-12-04T09:12:27.2465365Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0, line 269 <- wrt source file 2025-12-04T09:12:27.2466871Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0 2025-12-04T09:12:27.2468338Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0, line 53 <- wrt source file 2025-12-04T09:12:27.2469851Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0 2025-12-04T09:12:27.2471262Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0, line 202 <- wrt source file 2025-12-04T09:12:27.2472690Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0 2025-12-04T09:12:27.2474072Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0, line 90 <- wrt source file 2025-12-04T09:12:27.2475530Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0 2025-12-04T09:12:27.2476956Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/data/datapipes/iter/combining.py::ConcaterIterDataPipe:0, line 38 <- wrt source file 2025-12-04T09:12:27.2490753Z * SKIPPED: 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source file 2025-12-04T09:12:27.2499607Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/data/datapipes/iter/combining.py::DemultiplexerIterDataPipe:0 2025-12-04T09:12:27.2501302Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/data/datapipes/iter/combining.py::MultiplexerIterDataPipe:0, line 615 <- wrt source file 2025-12-04T09:12:27.2503163Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/data/datapipes/iter/combining.py::MultiplexerIterDataPipe:0 2025-12-04T09:12:27.2504681Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/data/datapipes/iter/combining.py::ZipperIterDataPipe:0, line 685 <- wrt source file 2025-12-04T09:12:27.2506175Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/data/datapipes/iter/combining.py::ZipperIterDataPipe:0 2025-12-04T09:12:27.2507643Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0, line 29 <- wrt source file 2025-12-04T09:12:27.2509119Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0 2025-12-04T09:12:27.2510910Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/data/datapipes/iter/fileopener.py::FileOpenerIterDataPipe:0, line 33 <- wrt source file 2025-12-04T09:12:27.2512473Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/data/datapipes/iter/fileopener.py::FileOpenerIterDataPipe:0 2025-12-04T09:12:27.2514066Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/data/datapipes/iter/grouping.py::BatcherIterDataPipe:0, line 41 <- wrt source file 2025-12-04T09:12:27.2515542Z * SKIPPED: 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source file 2025-12-04T09:12:27.2524154Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/data/datapipes/iter/selecting.py::FilterIterDataPipe:0 2025-12-04T09:12:27.2525528Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0, line 24 <- wrt source file 2025-12-04T09:12:27.2527046Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0 2025-12-04T09:12:27.2528372Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0, line 29 <- wrt source file 2025-12-04T09:12:27.2529753Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0 2025-12-04T09:12:27.2531092Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0, line 36 <- wrt source file 2025-12-04T09:12:27.2532481Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0 2025-12-04T09:12:27.2533811Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0, line 34 <- wrt source file 2025-12-04T09:12:27.2535128Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0 2025-12-04T09:12:27.2536382Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/data/datapipes/map/combining.py::ConcaterMapDataPipe:0, line 29 <- wrt source file 2025-12-04T09:12:27.2537614Z * SKIPPED: 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file 2025-12-04T09:12:27.2545781Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/data/datapipes/map/utils.py::SequenceWrapperMapDataPipe:0 2025-12-04T09:12:27.2547033Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0, line 37 <- wrt source file 2025-12-04T09:12:27.2548421Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0 2025-12-04T09:12:27.2550112Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0, line 47 <- wrt source file 2025-12-04T09:12:27.2551887Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0 2025-12-04T09:12:27.2553509Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0, line 439 <- wrt source file 2025-12-04T09:12:27.7252368Z * SUCCESS: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0 2025-12-04T09:12:27.7253508Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0, line 535 <- wrt source file 2025-12-04T09:12:27.7254587Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0 2025-12-04T09:12:27.7255567Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0, line 217 <- wrt source file 2025-12-04T09:12:27.7256650Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0 2025-12-04T09:12:27.7257675Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0, line 322 <- wrt source file 2025-12-04T09:12:27.7258489Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0 2025-12-04T09:12:27.7259230Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0, line 370 <- wrt source file 2025-12-04T09:12:27.7260298Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0 2025-12-04T09:12:27.7261385Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0, line 402 <- wrt source file 2025-12-04T09:12:27.7262204Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0 2025-12-04T09:12:27.7262995Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0, line 450 <- wrt source file 2025-12-04T09:12:27.7264131Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0 2025-12-04T09:12:27.7265619Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0, line 489 <- wrt source file 2025-12-04T09:12:27.7267025Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0 2025-12-04T09:12:27.7268171Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0, line 542 <- wrt source file 2025-12-04T09:12:27.7269295Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0 2025-12-04T09:12:27.7270417Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0, line 608 <- wrt source file 2025-12-04T09:12:27.7271504Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0 2025-12-04T09:12:27.7272567Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0, line 657 <- wrt source file 2025-12-04T09:12:27.7273696Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0 2025-12-04T09:12:27.7274784Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0, line 820 <- wrt source file 2025-12-04T09:12:27.7275913Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0 2025-12-04T09:12:27.7276699Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0, line 887 <- wrt source file 2025-12-04T09:12:27.7277518Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0 2025-12-04T09:12:27.7278521Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0, line 998 <- wrt source file 2025-12-04T09:12:27.7279408Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0 2025-12-04T09:12:27.7280487Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0, line 1072 <- wrt source file 2025-12-04T09:12:27.7281399Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0 2025-12-04T09:12:27.7282548Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0, line 1093 <- wrt source file 2025-12-04T09:12:27.7283620Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0 2025-12-04T09:12:27.7284459Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0, line 1118 <- wrt source file 2025-12-04T09:12:27.7285278Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0 2025-12-04T09:12:27.7286043Z * DOCTEST : /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0, line 1164 <- wrt source file 2025-12-04T09:12:27.7286865Z * SKIPPED: /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0 2025-12-04T09:12:27.7287328Z ============ 2025-12-04T09:12:27.7287513Z Finished doctests 2025-12-04T09:12:27.7287670Z 378 / 894 passed 2025-12-04T09:12:27.7287841Z  2025-12-04T09:12:27.7288051Z === Found 17 parse-time warnings === 2025-12-04T09:12:27.7288318Z --- Parse Warning: 1 / 17 --- 2025-12-04T09:12:27.7288899Z /opt/conda/envs/py_3.11/lib/python3.11/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=Library.fallback in modpath=/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/library.py line=368. 2025-12-04T09:12:27.7289542Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:12:27.7289889Z Registers the function implementation as the fallback for the given key. 2025-12-04T09:12:27.7290135Z 2025-12-04T09:12:27.7290343Z This function only works for a library with global namespace ("_"). 2025-12-04T09:12:27.7290590Z 2025-12-04T09:12:27.7290719Z Args: 2025-12-04T09:12:27.7290983Z fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel` 2025-12-04T09:12:27.7291286Z to register a fallthrough. 2025-12-04T09:12:27.7291609Z dispatch_key: dispatch key that the input function should be registered for. By default, it uses 2025-12-04T09:12:27.7291951Z the dispatch key that the library was created with. 2025-12-04T09:12:27.7292319Z with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument 2025-12-04T09:12:27.7292761Z to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls. 2025-12-04T09:12:27.7293050Z 2025-12-04T09:12:27.7293187Z Example:: 2025-12-04T09:12:27.7293344Z 2025-12-04T09:12:27.7293501Z >>> my_lib = Library("_", "IMPL") 2025-12-04T09:12:27.7293719Z >>> def fallback_kernel(op, *args, **kwargs): 2025-12-04T09:12:27.7293953Z >>> # Handle all autocast ops generically 2025-12-04T09:12:27.7294158Z >>> # ... 2025-12-04T09:12:27.7294352Z >>> my_lib.fallback(fallback_kernel, "Autocast") 2025-12-04T09:12:27.7294558Z 2025-12-04T09:12:27.7294985Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 5, 1, 'my_lib.fallback(fallback_kernel, "Autocast")\n', 5, 7)) 2025-12-04T09:12:27.7295423Z 2025-12-04T09:12:27.7295572Z my_lib.fallback(fallback_kernel, "Autocast") 2025-12-04T09:12:27.7295771Z ^ 2025-12-04T09:12:27.7295914Z warnings.warn(msg) 2025-12-04T09:12:27.7296068Z 2025-12-04T09:12:27.7296260Z --- Parse Warning: 2 / 17 --- 2025-12-04T09:12:27.7296829Z /opt/conda/envs/py_3.11/lib/python3.11/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=register_fake in modpath=/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/library.py line=958. 2025-12-04T09:12:27.7297442Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:12:27.7297775Z Register a FakeTensor implementation ("fake impl") for this operator. 2025-12-04T09:12:27.7298016Z 2025-12-04T09:12:27.7298203Z Also sometimes known as a "meta kernel", "abstract impl". 2025-12-04T09:12:27.7298437Z 2025-12-04T09:12:27.7298648Z An "FakeTensor implementation" specifies the behavior of this operator on 2025-12-04T09:12:27.7298975Z Tensors that carry no data ("FakeTensor"). Given some input Tensors with 2025-12-04T09:12:27.7299281Z certain properties (sizes/strides/storage_offset/device), it specifies 2025-12-04T09:12:27.7299566Z what the properties of the output Tensors are. 2025-12-04T09:12:27.7299893Z 2025-12-04T09:12:27.7300211Z The FakeTensor implementation has the same signature as the operator. 2025-12-04T09:12:27.7300579Z It is run for both FakeTensors and meta tensors. To write a FakeTensor 2025-12-04T09:12:27.7300970Z implementation, assume that all Tensor inputs to the operator are 2025-12-04T09:12:27.7301328Z regular CPU/CUDA/Meta tensors, but they do not have storage, and 2025-12-04T09:12:27.7301614Z you are trying to return regular CPU/CUDA/Meta tensor(s) as output. 2025-12-04T09:12:27.7302161Z The FakeTensor implementation must consist of only PyTorch operations 2025-12-04T09:12:27.7302473Z (and may not directly access the storage or data of any input or 2025-12-04T09:12:27.7302702Z intermediate Tensors). 2025-12-04T09:12:27.7302871Z 2025-12-04T09:12:27.7303070Z This API may be used as a decorator (see examples). 2025-12-04T09:12:27.7303280Z 2025-12-04T09:12:27.7303449Z For a detailed guide on custom ops, please see 2025-12-04T09:12:27.7303752Z https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html 2025-12-04T09:12:27.7303996Z 2025-12-04T09:12:27.7304127Z Args: 2025-12-04T09:12:27.7304336Z op_name: Operator name (along with the overload) or OpOverload object. 2025-12-04T09:12:27.7304602Z func: Fake tensor implementation. 2025-12-04T09:12:27.7304847Z lib (Optional[Library]): Library to register the fake tensor to. 2025-12-04T09:12:27.7305120Z allow_override: Flag controlling if we want to override an 2025-12-04T09:12:27.7305392Z existing registered fake impl. This is by default off, 2025-12-04T09:12:27.7305661Z and will error you're trying to register a fake impl to 2025-12-04T09:12:27.7305927Z an operator that already has a fake impl. This also only 2025-12-04T09:12:27.7306179Z applies if the custom operator was not created via 2025-12-04T09:12:27.7306448Z torch.library.custom_op, as overriding and existing fake 2025-12-04T09:12:27.7306694Z impl is already allowed. 2025-12-04T09:12:27.7306870Z 2025-12-04T09:12:27.7306999Z Examples: 2025-12-04T09:12:27.7307156Z >>> import torch 2025-12-04T09:12:27.7307326Z >>> import numpy as np 2025-12-04T09:12:27.7307519Z >>> from torch import Tensor 2025-12-04T09:12:27.7307703Z >>> 2025-12-04T09:12:27.7307901Z >>> # Example 1: an operator without data-dependent output shape 2025-12-04T09:12:27.7308190Z >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=()) 2025-12-04T09:12:27.7308498Z >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-12-04T09:12:27.7308788Z >>> raise NotImplementedError("Implementation goes here") 2025-12-04T09:12:27.7308999Z >>> 2025-12-04T09:12:27.7309195Z >>> @torch.library.register_fake("mylib::custom_linear") 2025-12-04T09:12:27.7309420Z >>> def _(x, weight, bias): 2025-12-04T09:12:27.7309613Z >>> assert x.dim() == 2 2025-12-04T09:12:27.7309802Z >>> assert weight.dim() == 2 2025-12-04T09:12:27.7310002Z >>> assert bias.dim() == 1 2025-12-04T09:12:27.7310213Z >>> assert x.shape[1] == weight.shape[1] 2025-12-04T09:12:27.7310429Z >>> assert weight.shape[0] == bias.shape[0] 2025-12-04T09:12:27.7310659Z >>> assert x.device == weight.device 2025-12-04T09:12:27.7310849Z >>> 2025-12-04T09:12:27.7311008Z >>> return (x @ weight.t()) + bias 2025-12-04T09:12:27.7311201Z >>> 2025-12-04T09:12:27.7311393Z >>> with torch._subclasses.fake_tensor.FakeTensorMode(): 2025-12-04T09:12:27.7311620Z >>> x = torch.randn(2, 3) 2025-12-04T09:12:27.7311811Z >>> w = torch.randn(3, 3) 2025-12-04T09:12:27.7312114Z >>> b = torch.randn(3) 2025-12-04T09:12:27.7312333Z >>> y = torch.ops.mylib.custom_linear(x, w, b) 2025-12-04T09:12:27.7312586Z >>> 2025-12-04T09:12:27.7312746Z >>> assert y.shape == (2, 3) 2025-12-04T09:12:27.7312921Z >>> 2025-12-04T09:12:27.7313106Z >>> # Example 2: an operator with data-dependent output shape 2025-12-04T09:12:27.7313397Z >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=()) 2025-12-04T09:12:27.7313666Z >>> def custom_nonzero(x: Tensor) -> Tensor: 2025-12-04T09:12:27.7313871Z >>> x_np = x.numpy(force=True) 2025-12-04T09:12:27.7314083Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-12-04T09:12:27.7314309Z >>> return torch.tensor(res, device=x.device) 2025-12-04T09:12:27.7314500Z >>> 2025-12-04T09:12:27.7314680Z >>> @torch.library.register_fake("mylib::custom_nonzero") 2025-12-04T09:12:27.7314905Z >>> def _(x): 2025-12-04T09:12:27.7315103Z >>> # Number of nonzero-elements is data-dependent. 2025-12-04T09:12:27.7315344Z >>> # Since we cannot peek at the data in an fake impl, 2025-12-04T09:12:27.7315589Z >>> # we use the ctx object to construct a new symint that 2025-12-04T09:12:27.7315821Z >>> # represents the data-dependent size. 2025-12-04T09:12:27.7316033Z >>> ctx = torch.library.get_ctx() 2025-12-04T09:12:27.7316230Z >>> nnz = ctx.new_dynamic_size() 2025-12-04T09:12:27.7316429Z >>> shape = [nnz, x.dim()] 2025-12-04T09:12:27.7316650Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-12-04T09:12:27.7316857Z >>> return result 2025-12-04T09:12:27.7317026Z >>> 2025-12-04T09:12:27.7317215Z >>> from torch.fx.experimental.proxy_tensor import make_fx 2025-12-04T09:12:27.7317422Z >>> 2025-12-04T09:12:27.7317580Z >>> x = torch.tensor([0, 1, 2, 3, 4, 0]) 2025-12-04T09:12:27.7317849Z >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x) 2025-12-04T09:12:27.7318118Z >>> trace.print_readable() 2025-12-04T09:12:27.7318283Z >>> 2025-12-04T09:12:27.7318490Z >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x)) 2025-12-04T09:12:27.7318721Z 2025-12-04T09:12:27.7318844Z 2025-12-04T09:12:27.7319197Z Original Error: IndentationError('expected an indented block after function definition on line 37', ('', 38, 1, '_._ = None\n', 38, 2)) 2025-12-04T09:12:27.7319585Z 2025-12-04T09:12:27.7319708Z _._ = None 2025-12-04T09:12:27.7319853Z ^ 2025-12-04T09:12:27.7320008Z warnings.warn(msg) 2025-12-04T09:12:27.7320156Z 2025-12-04T09:12:27.7320405Z --- Parse Warning: 3 / 17 --- 2025-12-04T09:12:27.7320969Z /opt/conda/envs/py_3.11/lib/python3.11/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=get_kernel in modpath=/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/library.py line=1530. 2025-12-04T09:12:27.7321709Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:12:27.7322090Z Returns the computed kernel for a given operator and dispatch key. 2025-12-04T09:12:27.7322345Z 2025-12-04T09:12:27.7322579Z This function retrieves the kernel that would be executed for a given 2025-12-04T09:12:27.7322902Z operator and dispatch key combination. The returned SafeKernelFunction 2025-12-04T09:12:27.7323222Z can be used to call the kernel in a boxed fashion. The intended use 2025-12-04T09:12:27.7323520Z case for this function is to retrieve the original kernel for a given 2025-12-04T09:12:27.7323833Z dispatch key and then register another kernel to the same dispatch key 2025-12-04T09:12:27.7324115Z that calls into the original kernel for certain cases. 2025-12-04T09:12:27.7324329Z 2025-12-04T09:12:27.7324519Z Args: 2025-12-04T09:12:27.7324719Z op: Operator name (along with the overload) or OpOverload object 2025-12-04T09:12:27.7325103Z Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef. 2025-12-04T09:12:27.7325448Z dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for. 2025-12-04T09:12:27.7325768Z Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value. 2025-12-04T09:12:27.7325985Z 2025-12-04T09:12:27.7326115Z Returns: 2025-12-04T09:12:27.7326347Z torch._C._SafeKernelFunction: A safe kernel function that can be used to 2025-12-04T09:12:27.7326604Z call the kernel. 2025-12-04T09:12:27.7326774Z 2025-12-04T09:12:27.7326902Z Raises: 2025-12-04T09:12:27.7327079Z RuntimeError: If the operator does not exist. 2025-12-04T09:12:27.7327280Z 2025-12-04T09:12:27.7327414Z Example: 2025-12-04T09:12:27.7327580Z >>> # Get the CPU kernel for torch.add 2025-12-04T09:12:27.7327837Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU") 2025-12-04T09:12:27.7328068Z >>> 2025-12-04T09:12:27.7328231Z >>> # You can also use DispatchKey enum 2025-12-04T09:12:27.7328521Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU) 2025-12-04T09:12:27.7328781Z >>> 2025-12-04T09:12:27.7328941Z >>> # Or use an OpOverload directly 2025-12-04T09:12:27.7329198Z >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU") 2025-12-04T09:12:27.7329441Z >>> 2025-12-04T09:12:27.7329650Z >>> # Example: Using get_kernel in a custom op with conditional dispatch 2025-12-04T09:12:27.7329907Z >>> # Get the original kernel for torch.sin 2025-12-04T09:12:27.7330176Z >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU") 2025-12-04T09:12:27.7330438Z >>> 2025-12-04T09:12:27.7330666Z >>> # If input has negative values, use original sin, otherwise return zeros 2025-12-04T09:12:27.7330988Z >>> def conditional_sin_impl(dispatch_keys, x): 2025-12-04T09:12:27.7331250Z >>> if (x < 0).any(): 2025-12-04T09:12:27.7331522Z >>> return original_sin_kernel.call_boxed(dispatch_keys, x) 2025-12-04T09:12:27.7331751Z >>> else: 2025-12-04T09:12:27.7331938Z >>> return torch.zeros_like(x) 2025-12-04T09:12:27.7332129Z >>> 2025-12-04T09:12:27.7332297Z >>> lib = torch.library.Library("aten", "IMPL") 2025-12-04T09:12:27.7332598Z >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet 2025-12-04T09:12:27.7332921Z >>> which needs to be the first argument to ``kernel.call_boxed`` 2025-12-04T09:12:27.7333215Z >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True) 2025-12-04T09:12:27.7333496Z >>> 2025-12-04T09:12:27.7333705Z >>> # Test the conditional behavior 2025-12-04T09:12:27.7333929Z >>> x_positive = torch.tensor([1.0, 2.0]) 2025-12-04T09:12:27.7334141Z >>> x_mixed = torch.tensor([-1.0, 2.0]) 2025-12-04T09:12:27.7334345Z >>> torch.sin(x_positive) 2025-12-04T09:12:27.7334534Z tensor([0., 0.]) 2025-12-04T09:12:27.7334707Z >>> torch.sin(x_mixed) 2025-12-04T09:12:27.7334898Z tensor([-0.8415, 0.9093]) 2025-12-04T09:12:27.7335077Z 2025-12-04T09:12:27.7335424Z Original Error: SyntaxError('invalid syntax', ('', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n', 23, 12)) 2025-12-04T09:12:27.7335781Z 2025-12-04T09:12:27.7335970Z which needs to be the first argument to ``kernel.call_boxed`` 2025-12-04T09:12:27.7336194Z ^ 2025-12-04T09:12:27.7336343Z warnings.warn(msg) 2025-12-04T09:12:27.7336501Z 2025-12-04T09:12:27.7336774Z --- Parse Warning: 4 / 17 --- 2025-12-04T09:12:27.7337389Z /opt/conda/envs/py_3.11/lib/python3.11/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=is_available in modpath=/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/accelerator/__init__.py line=70. 2025-12-04T09:12:27.7338058Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:12:27.7338397Z Check if the current accelerator is available at runtime: it was build, all the 2025-12-04T09:12:27.7338728Z required drivers are available and at least one device is visible. 2025-12-04T09:12:27.7339002Z See :ref:`accelerator` for details. 2025-12-04T09:12:27.7339208Z 2025-12-04T09:12:27.7339341Z Returns: 2025-12-04T09:12:27.7339590Z bool: A boolean indicating if there is an available :ref:`accelerator`. 2025-12-04T09:12:27.7339935Z 2025-12-04T09:12:27.7340171Z .. note:: This API delegates to the device-specific version of `is_available`. 2025-12-04T09:12:27.7340536Z On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set, 2025-12-04T09:12:27.7340883Z this function will NOT poison fork. Otherwise, it will. For more details, see 2025-12-04T09:12:27.7341191Z :ref:`multiprocessing-poison-fork-note`. 2025-12-04T09:12:27.7341403Z 2025-12-04T09:12:27.7341532Z Example:: 2025-12-04T09:12:27.7341686Z 2025-12-04T09:12:27.7341936Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:12:27.7342224Z 2025-12-04T09:12:27.7342648Z Original Error: SyntaxError('invalid syntax', ('', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78)) 2025-12-04T09:12:27.7343154Z 2025-12-04T09:12:27.7343377Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:12:27.7343709Z ^ 2025-12-04T09:12:27.7343900Z warnings.warn(msg) 2025-12-04T09:12:27.7344057Z 2025-12-04T09:12:27.7344249Z --- Parse Warning: 5 / 17 --- 2025-12-04T09:12:27.7344832Z /opt/conda/envs/py_3.11/lib/python3.11/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=synchronize in modpath=/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/accelerator/__init__.py line=239. 2025-12-04T09:12:27.7345465Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:12:27.7345780Z Wait for all kernels in all streams on the given device to complete. 2025-12-04T09:12:27.7346004Z 2025-12-04T09:12:27.7346134Z Args: 2025-12-04T09:12:27.7346395Z device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match 2025-12-04T09:12:27.7346754Z the current :ref:`accelerator` device type. If not given, 2025-12-04T09:12:27.7347062Z use :func:`torch.accelerator.current_device_index` by default. 2025-12-04T09:12:27.7347288Z 2025-12-04T09:12:27.7347532Z .. note:: This function is a no-op if the current :ref:`accelerator` is not initialized. 2025-12-04T09:12:27.7347809Z 2025-12-04T09:12:27.7347942Z Example:: 2025-12-04T09:12:27.7348088Z 2025-12-04T09:12:27.7348242Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-12-04T09:12:27.7348537Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:12:27.7348836Z >>> start_event = torch.Event(enable_timing=True) 2025-12-04T09:12:27.7349058Z >>> end_event = torch.Event(enable_timing=True) 2025-12-04T09:12:27.7349268Z >>> start_event.record() 2025-12-04T09:12:27.7349545Z >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator()) 2025-12-04T09:12:27.7349847Z >>> sum = torch.sum(tensor) 2025-12-04T09:12:27.7350033Z >>> end_event.record() 2025-12-04T09:12:27.7350267Z >>> torch.accelerator.synchronize() 2025-12-04T09:12:27.7350509Z >>> elapsed_time_ms = start_event.elapsed_time(end_event) 2025-12-04T09:12:27.7350714Z 2025-12-04T09:12:27.7351081Z Original Error: SyntaxError('invalid syntax', ('', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78)) 2025-12-04T09:12:27.7351473Z 2025-12-04T09:12:27.7351688Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:12:27.7351945Z ^ 2025-12-04T09:12:27.7352133Z warnings.warn(msg) 2025-12-04T09:12:27.7352295Z 2025-12-04T09:12:27.7352474Z --- Parse Warning: 6 / 17 --- 2025-12-04T09:12:27.7353026Z /opt/conda/envs/py_3.11/lib/python3.11/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=cudart in modpath=/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/cuda/__init__.py line=448. 2025-12-04T09:12:27.7353636Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:12:27.7353904Z Retrieves the CUDA runtime API module. 2025-12-04T09:12:27.7354076Z 2025-12-04T09:12:27.7354201Z 2025-12-04T09:12:27.7354418Z This function initializes the CUDA runtime environment if it is not already 2025-12-04T09:12:27.7354738Z initialized and returns the CUDA runtime API module (_cudart). The CUDA 2025-12-04T09:12:27.7355052Z runtime API module provides access to various CUDA runtime functions. 2025-12-04T09:12:27.7355286Z 2025-12-04T09:12:27.7355404Z Args: 2025-12-04T09:12:27.7355544Z ``None`` 2025-12-04T09:12:27.7355691Z 2025-12-04T09:12:27.7355809Z Returns: 2025-12-04T09:12:27.7355989Z module: The CUDA runtime API module (_cudart). 2025-12-04T09:12:27.7356188Z 2025-12-04T09:12:27.7356306Z Raises: 2025-12-04T09:12:27.7356527Z RuntimeError: If CUDA cannot be re-initialized in a forked subprocess. 2025-12-04T09:12:27.7356910Z AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable. 2025-12-04T09:12:27.7357210Z 2025-12-04T09:12:27.7357360Z Example of CUDA operations with profiling: 2025-12-04T09:12:27.7357564Z >>> import torch 2025-12-04T09:12:27.7357761Z >>> from torch.cuda import cudart, check_error 2025-12-04T09:12:27.7357957Z >>> import os 2025-12-04T09:12:27.7358115Z >>> 2025-12-04T09:12:27.7358277Z >>> os.environ["CUDA_PROFILE"] = "1" 2025-12-04T09:12:27.7358458Z >>> 2025-12-04T09:12:27.7358632Z >>> def perform_cuda_operations_with_streams(): 2025-12-04T09:12:27.7358854Z >>> stream = torch.cuda.Stream() 2025-12-04T09:12:27.7359057Z >>> with torch.cuda.stream(stream): 2025-12-04T09:12:27.7359285Z >>> x = torch.randn(100, 100, device='cuda') 2025-12-04T09:12:27.7359508Z >>> y = torch.randn(100, 100, device='cuda') 2025-12-04T09:12:27.7359714Z >>> z = torch.mul(x, y) 2025-12-04T09:12:27.7359892Z >>> return z 2025-12-04T09:12:27.7360054Z >>> 2025-12-04T09:12:27.7360212Z >>> torch.cuda.synchronize() 2025-12-04T09:12:27.7360419Z >>> print("====== Start nsys profiling ======") 2025-12-04T09:12:27.7360649Z >>> check_error(cudart().cudaProfilerStart()) 2025-12-04T09:12:27.7360879Z >>> with torch.autograd.profiler.emit_nvtx(): 2025-12-04T09:12:27.7361112Z >>> result = perform_cuda_operations_with_streams() 2025-12-04T09:12:27.7361345Z >>> print("CUDA operations completed.") 2025-12-04T09:12:27.7361581Z >>> check_error(torch.cuda.cudart().cudaProfilerStop()) 2025-12-04T09:12:27.7361853Z >>> print("====== End nsys profiling ======") 2025-12-04T09:12:27.7362038Z 2025-12-04T09:12:27.7362463Z To run this example and save the profiling information, execute: 2025-12-04T09:12:27.7362845Z >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-12-04T09:12:27.7363142Z 2025-12-04T09:12:27.7363359Z This command profiles the CUDA operations in the provided script and saves 2025-12-04T09:12:27.7363672Z the profiling information to a file named `trace_name.prof`. 2025-12-04T09:12:27.7363977Z The `--profile-from-start off` option ensures that profiling starts only 2025-12-04T09:12:27.7364248Z after the `cudaProfilerStart` call in the script. 2025-12-04T09:12:27.7364522Z The `--csv` and `--print-summary` options format the profiling output as a 2025-12-04T09:12:27.7364787Z CSV file and print a summary, respectively. 2025-12-04T09:12:27.7365063Z The `-o` option specifies the output file name, and the `-f` option forces the 2025-12-04T09:12:27.7365355Z overwrite of the output file if it already exists. 2025-12-04T09:12:27.7365560Z 2025-12-04T09:12:27.7365979Z 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)) 2025-12-04T09:12:27.7366411Z 2025-12-04T09:12:27.7366675Z $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-12-04T09:12:27.7366974Z ^ 2025-12-04T09:12:27.7367108Z warnings.warn(msg) 2025-12-04T09:12:27.7367262Z 2025-12-04T09:12:27.7367457Z --- Parse Warning: 7 / 17 --- 2025-12-04T09:12:27.7368008Z /opt/conda/envs/py_3.11/lib/python3.11/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=vmap in modpath=/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_functorch/apis.py line=39. 2025-12-04T09:12:27.7368615Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:12:27.7368864Z 2025-12-04T09:12:27.7369066Z vmap is the vectorizing map; ``vmap(func)`` returns a new function that 2025-12-04T09:12:27.7369359Z maps ``func`` over some dimension of the inputs. Semantically, vmap 2025-12-04T09:12:27.7369657Z pushes the map into PyTorch operations called by ``func``, effectively 2025-12-04T09:12:27.7369910Z vectorizing those operations. 2025-12-04T09:12:27.7370080Z 2025-12-04T09:12:27.7370276Z vmap is useful for handling batch dimensions: one can write a function 2025-12-04T09:12:27.7370571Z ``func`` that runs on examples and then lift it to a function that can 2025-12-04T09:12:27.7370863Z take batches of examples with ``vmap(func)``. vmap can also be used to 2025-12-04T09:12:27.7371134Z compute batched gradients when composed with autograd. 2025-12-04T09:12:27.7371346Z 2025-12-04T09:12:27.7371480Z .. note:: 2025-12-04T09:12:27.7371672Z :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for 2025-12-04T09:12:27.7371925Z convenience. Use whichever one you'd like. 2025-12-04T09:12:27.7372120Z 2025-12-04T09:12:27.7372237Z Args: 2025-12-04T09:12:27.7372444Z func (function): A Python function that takes one or more arguments. 2025-12-04T09:12:27.7372696Z Must return one or more Tensors. 2025-12-04T09:12:27.7372941Z in_dims (int or nested structure): Specifies which dimension of the 2025-12-04T09:12:27.7373213Z inputs should be mapped over. ``in_dims`` should have a 2025-12-04T09:12:27.7373485Z structure like the inputs. If the ``in_dim`` for a particular 2025-12-04T09:12:27.7373760Z input is None, then that indicates there is no map dimension. 2025-12-04T09:12:27.7373979Z Default: 0. 2025-12-04T09:12:27.7374199Z out_dims (int or Tuple[int]): Specifies where the mapped dimension 2025-12-04T09:12:27.7374535Z should appear in the outputs. If ``out_dims`` is a Tuple, then 2025-12-04T09:12:27.7374832Z it should have one element per output. Default: 0. 2025-12-04T09:12:27.7375094Z randomness (str): Specifies whether the randomness in this 2025-12-04T09:12:27.7375381Z vmap should be the same or different across batches. If 'different', 2025-12-04T09:12:27.7375675Z the randomness for each batch will be different. If 'same', the 2025-12-04T09:12:27.7375961Z randomness will be the same across batches. If 'error', any calls to 2025-12-04T09:12:27.7376269Z random functions will error. Default: 'error'. WARNING: this flag 2025-12-04T09:12:27.7376569Z only applies to random PyTorch operations and does not apply to 2025-12-04T09:12:27.7376834Z Python's random module or numpy randomness. 2025-12-04T09:12:27.7377103Z chunk_size (None or int): If None (default), apply a single vmap over inputs. 2025-12-04T09:12:27.7377418Z If not None, then compute the vmap :attr:`chunk_size` samples at a time. 2025-12-04T09:12:27.7377747Z Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop. 2025-12-04T09:12:27.7378095Z If you run into memory issues computing the vmap, please try a non-None chunk_size. 2025-12-04T09:12:27.7378354Z 2025-12-04T09:12:27.7378487Z Returns: 2025-12-04T09:12:27.7378677Z Returns a new "batched" function. It takes the same inputs as 2025-12-04T09:12:27.7378958Z ``func``, except each input has an extra dimension at the index 2025-12-04T09:12:27.7379239Z specified by ``in_dims``. It takes returns the same outputs as 2025-12-04T09:12:27.7379515Z ``func``, except each output has an extra dimension at the index 2025-12-04T09:12:27.7379780Z specified by ``out_dims``. 2025-12-04T09:12:27.7380071Z 2025-12-04T09:12:27.7380213Z .. warning: 2025-12-04T09:12:27.7380436Z :func:`vmap` works best with functional-style code. Please do not 2025-12-04T09:12:27.7380751Z perform any side-effects in ``func``, with the exception of 2025-12-04T09:12:27.7381089Z in-place PyTorch operations. Examples of side-effects include mutating 2025-12-04T09:12:27.7381428Z Python data structures and assigning values to variables not captured 2025-12-04T09:12:27.7381680Z in ``func``. 2025-12-04T09:12:27.7381839Z 2025-12-04T09:12:27.7382061Z One example of using :func:`vmap` is to compute batched dot products. PyTorch 2025-12-04T09:12:27.7382392Z doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully 2025-12-04T09:12:27.7382729Z rummaging through docs, use :func:`vmap` to construct a new function. 2025-12-04T09:12:27.7382989Z 2025-12-04T09:12:27.7383135Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:12:27.7383402Z >>> batched_dot = torch.func.vmap(torch.dot) # [N, D], [N, D] -> [N] 2025-12-04T09:12:27.7383694Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-12-04T09:12:27.7383915Z >>> batched_dot(x, y) 2025-12-04T09:12:27.7384085Z 2025-12-04T09:12:27.7384308Z :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler 2025-12-04T09:12:27.7384583Z model authoring experience. 2025-12-04T09:12:27.7384759Z 2025-12-04T09:12:27.7384915Z >>> batch_size, feature_size = 3, 5 2025-12-04T09:12:27.7385166Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-12-04T09:12:27.7385385Z >>> 2025-12-04T09:12:27.7385543Z >>> def model(feature_vec): 2025-12-04T09:12:27.7385765Z >>> # Very simple linear model with activation 2025-12-04T09:12:27.7385999Z >>> return feature_vec.dot(weights).relu() 2025-12-04T09:12:27.7386209Z >>> 2025-12-04T09:12:27.7386396Z >>> examples = torch.randn(batch_size, feature_size) 2025-12-04T09:12:27.7386638Z >>> result = torch.vmap(model)(examples) 2025-12-04T09:12:27.7386841Z 2025-12-04T09:12:27.7387116Z :func:`vmap` can also help vectorize computations that were previously difficult 2025-12-04T09:12:27.7387518Z or impossible to batch. One example is higher-order gradient computation. 2025-12-04T09:12:27.7387861Z The PyTorch autograd engine computes vjps (vector-Jacobian products). 2025-12-04T09:12:27.7388210Z Computing a full Jacobian matrix for some function f: R^N -> R^N usually 2025-12-04T09:12:27.7388569Z requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`, 2025-12-04T09:12:27.7388918Z we can vectorize the whole computation, computing the Jacobian in a single 2025-12-04T09:12:27.7389201Z call to ``autograd.grad``. 2025-12-04T09:12:27.7389381Z 2025-12-04T09:12:27.7389521Z >>> # Setup 2025-12-04T09:12:27.7389671Z >>> N = 5 2025-12-04T09:12:27.7389834Z >>> f = lambda x: x**2 2025-12-04T09:12:27.7390036Z >>> x = torch.randn(N, requires_grad=True) 2025-12-04T09:12:27.7390232Z >>> y = f(x) 2025-12-04T09:12:27.7390402Z >>> I_N = torch.eye(N) 2025-12-04T09:12:27.7390576Z >>> 2025-12-04T09:12:27.7390729Z >>> # Sequential approach 2025-12-04T09:12:27.7390996Z >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0] 2025-12-04T09:12:27.7391271Z >>> for v in I_N.unbind()] 2025-12-04T09:12:27.7391474Z >>> jacobian = torch.stack(jacobian_rows) 2025-12-04T09:12:27.7391662Z >>> 2025-12-04T09:12:27.7391821Z >>> # vectorized gradient computation 2025-12-04T09:12:27.7392009Z >>> def get_vjp(v): 2025-12-04T09:12:27.7392196Z >>> return torch.autograd.grad(y, x, v) 2025-12-04T09:12:27.7392416Z >>> jacobian = torch.vmap(get_vjp)(I_N) 2025-12-04T09:12:27.7392605Z 2025-12-04T09:12:27.7392817Z :func:`vmap` can also be nested, producing an output with multiple batched dimensions 2025-12-04T09:12:27.7393070Z 2025-12-04T09:12:27.7393211Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:12:27.7393402Z >>> batched_dot = torch.vmap( 2025-12-04T09:12:27.7393596Z ... torch.vmap(torch.dot) 2025-12-04T09:12:27.7393799Z ... ) # [N1, N0, D], [N1, N0, D] -> [N1, N0] 2025-12-04T09:12:27.7394015Z >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5) 2025-12-04T09:12:27.7394244Z >>> batched_dot(x, y) # tensor of size [2, 3] 2025-12-04T09:12:27.7394433Z 2025-12-04T09:12:27.7394636Z If the inputs are not batched along the first dimension, ``in_dims`` specifies 2025-12-04T09:12:27.7394930Z the dimension that each inputs are batched along as 2025-12-04T09:12:27.7395145Z 2025-12-04T09:12:27.7395287Z >>> torch.dot # [N], [N] -> [] 2025-12-04T09:12:27.7395532Z >>> batched_dot = torch.vmap(torch.dot, in_dims=1) # [N, D], [N, D] -> [D] 2025-12-04T09:12:27.7395800Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-12-04T09:12:27.7395998Z >>> batched_dot( 2025-12-04T09:12:27.7396147Z ... x, y 2025-12-04T09:12:27.7396357Z ... ) # output is [5] instead of [2] if batched along the 0th dimension 2025-12-04T09:12:27.7396579Z 2025-12-04T09:12:27.7396790Z If there are multiple inputs each of which is batched along different dimensions, 2025-12-04T09:12:27.7397113Z ``in_dims`` must be a tuple with the batch dimension for each input as 2025-12-04T09:12:27.7397339Z 2025-12-04T09:12:27.7397477Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:12:27.7397726Z >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None)) # [N, D], [D] -> [N] 2025-12-04T09:12:27.7397994Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-12-04T09:12:27.7398188Z >>> batched_dot( 2025-12-04T09:12:27.7398339Z ... x, y 2025-12-04T09:12:27.7398545Z ... ) # second arg doesn't have a batch dim because in_dim[1] was None 2025-12-04T09:12:27.7398763Z 2025-12-04T09:12:27.7398964Z If the input is a Python struct, ``in_dims`` must be a tuple containing a struct 2025-12-04T09:12:27.7399256Z matching the shape of the input: 2025-12-04T09:12:27.7399439Z 2025-12-04T09:12:27.7399621Z >>> f = lambda dict: torch.dot(dict["x"], dict["y"]) 2025-12-04T09:12:27.7399846Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-12-04T09:12:27.7400041Z >>> input = {"x": x, "y": y} 2025-12-04T09:12:27.7400265Z >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},)) 2025-12-04T09:12:27.7400481Z >>> batched_dot(input) 2025-12-04T09:12:27.7400644Z 2025-12-04T09:12:27.7400872Z By default, the output is batched along the first dimension. However, it can be batched 2025-12-04T09:12:27.7401157Z along any dimension by using ``out_dims`` 2025-12-04T09:12:27.7401346Z 2025-12-04T09:12:27.7401480Z >>> f = lambda x: x**2 2025-12-04T09:12:27.7401648Z >>> x = torch.randn(2, 5) 2025-12-04T09:12:27.7401847Z >>> batched_pow = torch.vmap(f, out_dims=1) 2025-12-04T09:12:27.7402245Z >>> batched_pow(x) # [5, 2] 2025-12-04T09:12:27.7402416Z 2025-12-04T09:12:27.7402657Z For any function that uses kwargs, the returned function will not batch the kwargs but will 2025-12-04T09:12:27.7402941Z accept kwargs 2025-12-04T09:12:27.7403090Z 2025-12-04T09:12:27.7403223Z >>> x = torch.randn([2, 5]) 2025-12-04T09:12:27.7403411Z >>> def fn(x, scale=4.): 2025-12-04T09:12:27.7403591Z >>> return x * scale 2025-12-04T09:12:27.7403752Z >>> 2025-12-04T09:12:27.7403907Z >>> batched_pow = torch.vmap(fn) 2025-12-04T09:12:27.7404123Z >>> assert torch.allclose(batched_pow(x), x * 4) 2025-12-04T09:12:27.7404388Z >>> batched_pow(x, scale=x) # scale is not batched, output has shape [2, 2, 5] 2025-12-04T09:12:27.7404625Z 2025-12-04T09:12:27.7404766Z .. note:: 2025-12-04T09:12:27.7404971Z vmap does not provide general autobatching or handle variable-length 2025-12-04T09:12:27.7405225Z sequences out of the box. 2025-12-04T09:12:27.7405394Z 2025-12-04T09:12:27.7405740Z Original Error: IndentationError('expected an indented block after function definition on line 4', ('', 5, 1, '_._ = None\n', 5, 2)) 2025-12-04T09:12:27.7406114Z 2025-12-04T09:12:27.7406239Z _._ = None 2025-12-04T09:12:27.7406377Z ^ 2025-12-04T09:12:27.7406508Z warnings.warn(msg) 2025-12-04T09:12:27.7406663Z 2025-12-04T09:12:27.7406901Z --- Parse Warning: 8 / 17 --- 2025-12-04T09:12:27.7407455Z /opt/conda/envs/py_3.11/lib/python3.11/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=grad in modpath=/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_functorch/apis.py line=306. 2025-12-04T09:12:27.7408067Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:12:27.7408401Z ``grad`` operator helps computing gradients of ``func`` with respect to the 2025-12-04T09:12:27.7408711Z input(s) specified by ``argnums``. This operator can be nested to 2025-12-04T09:12:27.7408951Z compute higher-order gradients. 2025-12-04T09:12:27.7409135Z 2025-12-04T09:12:27.7409271Z Args: 2025-12-04T09:12:27.7409478Z func (Callable): A Python function that takes one or more arguments. 2025-12-04T09:12:27.7409810Z Must return a single-element Tensor. If specified ``has_aux`` equals ``True``, 2025-12-04T09:12:27.7410199Z function can return a tuple of single-element Tensor and other auxiliary objects: 2025-12-04T09:12:27.7410480Z ``(output, aux)``. 2025-12-04T09:12:27.7410756Z argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to. 2025-12-04T09:12:27.7411093Z ``argnums`` can be single integer or tuple of integers. Default: 0. 2025-12-04T09:12:27.7411406Z has_aux (bool): Flag indicating that ``func`` returns a tensor and other 2025-12-04T09:12:27.7411695Z auxiliary objects: ``(output, aux)``. Default: False. 2025-12-04T09:12:27.7412027Z 2025-12-04T09:12:27.7412163Z Returns: 2025-12-04T09:12:27.7412468Z Function to compute gradients with respect to its inputs. By default, the output of 2025-12-04T09:12:27.7412817Z the function is the gradient tensor(s) with respect to the first argument. 2025-12-04T09:12:27.7413174Z If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects 2025-12-04T09:12:27.7413543Z is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with 2025-12-04T09:12:27.7413837Z respect to each ``argnums`` value is returned. 2025-12-04T09:12:27.7414040Z 2025-12-04T09:12:27.7414183Z Example of using ``grad``: 2025-12-04T09:12:27.7414353Z 2025-12-04T09:12:27.7414499Z >>> # xdoctest: +SKIP 2025-12-04T09:12:27.7414698Z >>> from torch.func import grad 2025-12-04T09:12:27.7414890Z >>> x = torch.randn([]) 2025-12-04T09:12:27.7415102Z >>> cos_x = grad(lambda x: torch.sin(x))(x) 2025-12-04T09:12:27.7415328Z >>> assert torch.allclose(cos_x, x.cos()) 2025-12-04T09:12:27.7415528Z >>> 2025-12-04T09:12:27.7415684Z >>> # Second-order gradients 2025-12-04T09:12:27.7415910Z >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x) 2025-12-04T09:12:27.7416154Z >>> assert torch.allclose(neg_sin_x, -x.sin()) 2025-12-04T09:12:27.7416351Z 2025-12-04T09:12:27.7416581Z When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients: 2025-12-04T09:12:27.7416841Z 2025-12-04T09:12:27.7416973Z >>> # xdoctest: +SKIP 2025-12-04T09:12:27.7417172Z >>> from torch.func import grad, vmap 2025-12-04T09:12:27.7417387Z >>> batch_size, feature_size = 3, 5 2025-12-04T09:12:27.7417568Z >>> 2025-12-04T09:12:27.7417735Z >>> def model(weights, feature_vec): 2025-12-04T09:12:27.7417960Z >>> # Very simple linear model with activation 2025-12-04T09:12:27.7418180Z >>> assert feature_vec.dim() == 1 2025-12-04T09:12:27.7418394Z >>> return feature_vec.dot(weights).relu() 2025-12-04T09:12:27.7418594Z >>> 2025-12-04T09:12:27.7418775Z >>> def compute_loss(weights, example, target): 2025-12-04T09:12:27.7418989Z >>> y = model(weights, example) 2025-12-04T09:12:27.7419213Z >>> return ((y - target) ** 2).mean() # MSELoss 2025-12-04T09:12:27.7419417Z >>> 2025-12-04T09:12:27.7419605Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-12-04T09:12:27.7419969Z >>> examples = torch.randn(batch_size, feature_size) 2025-12-04T09:12:27.7420210Z >>> targets = torch.randn(batch_size) 2025-12-04T09:12:27.7420435Z >>> inputs = (weights, examples, targets) 2025-12-04T09:12:27.7420742Z >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))( 2025-12-04T09:12:27.7421056Z ... *inputs 2025-12-04T09:12:27.7421249Z ... ) 2025-12-04T09:12:27.7421416Z 2025-12-04T09:12:27.7421628Z Example of using ``grad`` with ``has_aux`` and ``argnums``: 2025-12-04T09:12:27.7421882Z 2025-12-04T09:12:27.7422031Z >>> # xdoctest: +SKIP 2025-12-04T09:12:27.7422222Z >>> from torch.func import grad 2025-12-04T09:12:27.7422426Z >>> def my_loss_func(y, y_pred): 2025-12-04T09:12:27.7422636Z >>> loss_per_sample = (0.5 * y_pred - y) ** 2 2025-12-04T09:12:27.7422855Z >>> loss = loss_per_sample.mean() 2025-12-04T09:12:27.7423079Z >>> return loss, (y_pred, loss_per_sample) 2025-12-04T09:12:27.7423276Z >>> 2025-12-04T09:12:27.7423451Z >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True) 2025-12-04T09:12:27.7423671Z >>> y_true = torch.rand(4) 2025-12-04T09:12:27.7423968Z >>> y_preds = torch.rand(4, requires_grad=True) 2025-12-04T09:12:27.7424181Z >>> out = fn(y_true, y_preds) 2025-12-04T09:12:27.7424487Z >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample)) 2025-12-04T09:12:27.7424742Z 2025-12-04T09:12:27.7424881Z .. note:: 2025-12-04T09:12:27.7425086Z Using PyTorch ``torch.no_grad`` together with ``grad``. 2025-12-04T09:12:27.7425304Z 2025-12-04T09:12:27.7425479Z Case 1: Using ``torch.no_grad`` inside a function: 2025-12-04T09:12:27.7425676Z 2025-12-04T09:12:27.7425824Z >>> # xdoctest: +SKIP 2025-12-04T09:12:27.7426020Z >>> def f(x): 2025-12-04T09:12:27.7426196Z >>> with torch.no_grad(): 2025-12-04T09:12:27.7426388Z >>> c = x ** 2 2025-12-04T09:12:27.7426569Z >>> return x - c 2025-12-04T09:12:27.7426730Z 2025-12-04T09:12:27.7426925Z In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``. 2025-12-04T09:12:27.7427155Z 2025-12-04T09:12:27.7427333Z Case 2: Using ``grad`` inside ``torch.no_grad`` context manager: 2025-12-04T09:12:27.7427556Z 2025-12-04T09:12:27.7427692Z >>> # xdoctest: +SKIP 2025-12-04T09:12:27.7427872Z >>> with torch.no_grad(): 2025-12-04T09:12:27.7428059Z >>> grad(f)(x) 2025-12-04T09:12:27.7428227Z 2025-12-04T09:12:27.7428425Z In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the 2025-12-04T09:12:27.7428731Z outer one. This is because ``grad`` is a "function transform": its result 2025-12-04T09:12:27.7429042Z should not depend on the result of a context manager outside of ``f``. 2025-12-04T09:12:27.7429278Z 2025-12-04T09:12:27.7429398Z 2025-12-04T09:12:27.7429752Z Original Error: IndentationError('expected an indented block after function definition on line 5', ('', 6, 1, '_._ = None\n', 6, 2)) 2025-12-04T09:12:27.7430133Z 2025-12-04T09:12:27.7430256Z _._ = None 2025-12-04T09:12:27.7430404Z ^ 2025-12-04T09:12:27.7430546Z warnings.warn(msg) 2025-12-04T09:12:27.7430700Z 2025-12-04T09:12:27.7430942Z --- Parse Warning: 9 / 17 --- 2025-12-04T09:12:27.7431565Z /opt/conda/envs/py_3.11/lib/python3.11/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=CustomOpDef.register_fake in modpath=/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_library/custom_ops.py line=402. 2025-12-04T09:12:27.7432253Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:12:27.7432556Z Register a FakeTensor implementation for this custom op. 2025-12-04T09:12:27.7432773Z 2025-12-04T09:12:27.7432987Z This is necessary to get the operator to work efficiently with torch.compile. 2025-12-04T09:12:27.7433239Z 2025-12-04T09:12:27.7433436Z The Fake impl (sometimes also known as a meta kernel or abstract impl) 2025-12-04T09:12:27.7433750Z specifies the behavior of this operator on Tensors that carry no data. 2025-12-04T09:12:27.7434034Z Given some input Tensors with certain properties 2025-12-04T09:12:27.7434323Z (sizes/strides/storage_offset/device), it specifies what the properties of 2025-12-04T09:12:27.7434597Z the output Tensors are. 2025-12-04T09:12:27.7434772Z 2025-12-04T09:12:27.7434959Z Please see :func:`torch.library.register_fake` for more details. 2025-12-04T09:12:27.7435185Z 2025-12-04T09:12:27.7435314Z Args: 2025-12-04T09:12:27.7435513Z fn (Callable): The function to register as the FakeTensor 2025-12-04T09:12:27.7435735Z implementation. 2025-12-04T09:12:27.7435909Z 2025-12-04T09:12:27.7436040Z Examples: 2025-12-04T09:12:27.7436194Z >>> import torch 2025-12-04T09:12:27.7436376Z >>> import numpy as np 2025-12-04T09:12:27.7436606Z >>> from torch import Tensor 2025-12-04T09:12:27.7436788Z >>> 2025-12-04T09:12:27.7437022Z >>> # Example 1: an operator without data-dependent output shape 2025-12-04T09:12:27.7437306Z >>> @torch.library.custom_op("mylib::linear", mutates_args=()) 2025-12-04T09:12:27.7437579Z >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-12-04T09:12:27.7437834Z >>> return (x @ weight.t()) + bias 2025-12-04T09:12:27.7438024Z >>> 2025-12-04T09:12:27.7438193Z >>> @linear.register_fake 2025-12-04T09:12:27.7438380Z >>> def _(x, weight, bias): 2025-12-04T09:12:27.7438569Z >>> assert x.dim() == 2 2025-12-04T09:12:27.7438765Z >>> assert weight.dim() == 2 2025-12-04T09:12:27.7438957Z >>> assert bias.dim() == 1 2025-12-04T09:12:27.7439164Z >>> assert x.shape[1] == weight.shape[1] 2025-12-04T09:12:27.7439394Z >>> assert weight.shape[0] == bias.shape[0] 2025-12-04T09:12:27.7439611Z >>> assert x.device == weight.device 2025-12-04T09:12:27.7439839Z >>> return x.new_empty(x.size(0), weight.size(0)) 2025-12-04T09:12:27.7440041Z >>> 2025-12-04T09:12:27.7440199Z >>> x = torch.randn(2, 2) 2025-12-04T09:12:27.7440391Z >>> weight = torch.randn(2, 2) 2025-12-04T09:12:27.7440589Z >>> bias = torch.randn(2) 2025-12-04T09:12:27.7440802Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:12:27.7441051Z >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias) 2025-12-04T09:12:27.7441307Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:12:27.7441589Z >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias)) 2025-12-04T09:12:27.7441832Z >>> 2025-12-04T09:12:27.7442029Z >>> # Example 2: an operator with data-dependent output shape 2025-12-04T09:12:27.7442308Z >>> @torch.library.custom_op("mylib::nonzero", mutates_args=()) 2025-12-04T09:12:27.7442552Z >>> def nonzero(x: Tensor) -> Tensor: 2025-12-04T09:12:27.7442751Z >>> x_np = x.cpu().numpy() 2025-12-04T09:12:27.7442959Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-12-04T09:12:27.7443188Z >>> return torch.tensor(res, device=x.device) 2025-12-04T09:12:27.7443375Z >>> 2025-12-04T09:12:27.7443536Z >>> @nonzero.register_fake 2025-12-04T09:12:27.7443726Z >>> def _(x): 2025-12-04T09:12:27.7443928Z >>> # Number of nonzero-elements is data-dependent. 2025-12-04T09:12:27.7444170Z >>> # Since we cannot peek at the data in an abstract impl, 2025-12-04T09:12:27.7444432Z >>> # we use the ctx object to construct a new symint that 2025-12-04T09:12:27.7444673Z >>> # represents the data-dependent size. 2025-12-04T09:12:27.7444893Z >>> ctx = torch.library.get_ctx() 2025-12-04T09:12:27.7445104Z >>> nnz = ctx.new_dynamic_size() 2025-12-04T09:12:27.7445317Z >>> shape = [nnz, x.dim()] 2025-12-04T09:12:27.7445531Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-12-04T09:12:27.7445764Z >>> return result 2025-12-04T09:12:27.7445949Z >>> 2025-12-04T09:12:27.7446122Z >>> x = torch.tensor([0, 1, 2, 0, 0, 1]) 2025-12-04T09:12:27.7446334Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:12:27.7446569Z >>> out = torch.compile(nonzero, fullgraph=True)(x) 2025-12-04T09:12:27.7446801Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:12:27.7447018Z >>> assert torch.allclose(out, x.nonzero()) 2025-12-04T09:12:27.7447251Z 2025-12-04T09:12:27.7447389Z 2025-12-04T09:12:27.7448039Z Original Error: IndentationError('expected an indented block after function definition on line 36', ('', 37, 1, '_._ = None\n', 37, 2)) 2025-12-04T09:12:27.7448494Z 2025-12-04T09:12:27.7448637Z _._ = None 2025-12-04T09:12:27.7448782Z ^ 2025-12-04T09:12:27.7448923Z warnings.warn(msg) 2025-12-04T09:12:27.7449086Z 2025-12-04T09:12:27.7449322Z --- Parse Warning: 10 / 17 --- 2025-12-04T09:12:27.7449942Z /opt/conda/envs/py_3.11/lib/python3.11/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=unsafe_generate_fake_kernels in modpath=/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_library/fake_profile.py line=94. 2025-12-04T09:12:27.7450706Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-12-04T09:12:27.7450967Z 2025-12-04T09:12:27.7451183Z Registers a fake kernel based on the given operator profiles. This fake 2025-12-04T09:12:27.7451511Z kernel registration will override any existing fake kernel registrations. 2025-12-04T09:12:27.7451762Z 2025-12-04T09:12:27.7451961Z The input is a dictionary mapping operator names to a set of operator 2025-12-04T09:12:27.7452270Z profiles, which we will use to generate fake kernels. The operator profiles 2025-12-04T09:12:27.7452573Z are a record of the input and output tensor metadata. Based on this 2025-12-04T09:12:27.7452880Z information we will match a given input to the recorded profile, and return 2025-12-04T09:12:27.7453196Z an output with the same metadata as in the recorded profile. If a profile 2025-12-04T09:12:27.7453463Z doesn't exist then an exception will be thrown. 2025-12-04T09:12:27.7453659Z 2025-12-04T09:12:27.7453866Z The fake kernel generation is considered unsafe because it relies on the 2025-12-04T09:12:27.7454182Z rigid, pre-defined operator profiles that do not account for potential 2025-12-04T09:12:27.7454497Z variations in output behavior. Specifically, the generated kernels assume a 2025-12-04T09:12:27.7454836Z fixed relationship between input and output ranks. However, in reality, it's 2025-12-04T09:12:27.7455170Z possible that data-dependent operations may produce outputs of different 2025-12-04T09:12:27.7455484Z ranks even when given inputs of the same rank. The generated fake kernels 2025-12-04T09:12:27.7455789Z are inflexible and unable to accommodate these nuances, making them 2025-12-04T09:12:27.7456030Z potentially unsafe. 2025-12-04T09:12:27.7456183Z 2025-12-04T09:12:27.7456306Z Args: 2025-12-04T09:12:27.7456510Z op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator 2025-12-04T09:12:27.7456811Z name to a set of operator profiles from which we will generate fake 2025-12-04T09:12:27.7457033Z kernels. 2025-12-04T09:12:27.7457182Z 2025-12-04T09:12:27.7457315Z Examples: 2025-12-04T09:12:27.7457451Z 2025-12-04T09:12:27.7457628Z >>> # Example: Registering an op-profile from draft-export 2025-12-04T09:12:27.7457853Z >>> import torch 2025-12-04T09:12:27.7458048Z >>> from torch.export._draft_export import draft_export 2025-12-04T09:12:27.7458261Z >>> 2025-12-04T09:12:27.7458460Z >>> @torch.library.custom_op("mylib::foo", mutates_args=()) 2025-12-04T09:12:27.7458695Z >>> def foo(x: Tensor, y: Tensor) -> Tensor: 2025-12-04T09:12:27.7458896Z >>> return x + y 2025-12-04T09:12:27.7459058Z >>> 2025-12-04T09:12:27.7459207Z >>> class M(torch.nn.Module): 2025-12-04T09:12:27.7459397Z >>> def forward(self, a, b): 2025-12-04T09:12:27.7459614Z >>> res = torch.ops.mylib.foo(a, b) # no fake impl 2025-12-04T09:12:27.7459975Z >>> return res 2025-12-04T09:12:27.7460843Z >>> 2025-12-04T09:12:27.7461299Z >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4)) 2025-12-04T09:12:27.7461696Z >>> 2025-12-04T09:12:27.7461945Z >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles): 2025-12-04T09:12:27.7462329Z >>> decomp = ep.run_decompositions() 2025-12-04T09:12:27.7462556Z 2025-12-04T09:12:27.7462727Z 2025-12-04T09:12:27.7463167Z Original Error: IncompleteParseError('ill-formed doctest: all parts have been processed but the doctest source is not balanced') 2025-12-04T09:12:27.7463604Z 2025-12-04T09:12:27.7463762Z warnings.warn(msg) 2025-12-04T09:12:27.7463937Z 2025-12-04T09:12:27.7464219Z --- Parse Warning: 11 / 17 --- 2025-12-04T09:12:27.7465102Z /opt/conda/envs/py_3.11/lib/python3.11/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=ActivationSparsifier in modpath=/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py line=16. 2025-12-04T09:12:27.7466043Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:12:27.7466345Z 2025-12-04T09:12:27.7466608Z The Activation sparsifier class aims to sparsify/prune activations in a neural 2025-12-04T09:12:27.7467010Z network. The idea is to attach the sparsifier to a layer (or layers) and it 2025-12-04T09:12:27.7467368Z zeroes out the activations based on the mask_fn (or sparsification function) 2025-12-04T09:12:27.7467687Z input by the user. 2025-12-04T09:12:27.7468009Z The mask_fn is applied once all the inputs are aggregated and reduced i.e. 2025-12-04T09:12:27.7468402Z mask = mask_fn(reduce_fn(aggregate_fn(activations))) 2025-12-04T09:12:27.7468668Z 2025-12-04T09:12:27.7468807Z Note:: 2025-12-04T09:12:27.7469060Z The sparsification mask is computed on the input **before it goes through the attached layer**. 2025-12-04T09:12:27.7469348Z 2025-12-04T09:12:27.7469474Z Args: 2025-12-04T09:12:27.7469619Z model (nn.Module): 2025-12-04T09:12:27.7469850Z The model whose layers will be sparsified. The layers that needs to be 2025-12-04T09:12:27.7470181Z sparsified should be added separately using the register_layer() function 2025-12-04T09:12:27.7470596Z aggregate_fn (Optional, Callable): 2025-12-04T09:12:27.7470896Z default aggregate_fn that is used if not specified while registering the layer. 2025-12-04T09:12:27.7471216Z specifies how inputs should be aggregated over time. 2025-12-04T09:12:27.7471565Z The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor. 2025-12-04T09:12:27.7471876Z Example 2025-12-04T09:12:27.7472069Z def add_agg_fn(tensor1, tensor2): return tensor1 + tensor2 2025-12-04T09:12:27.7472305Z reduce_fn (Optional, Callable): 2025-12-04T09:12:27.7472576Z default reduce_fn that is used if not specified while registering the layer. 2025-12-04T09:12:27.7472904Z reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after 2025-12-04T09:12:27.7473356Z calling agg_fn() on all inputs. 2025-12-04T09:12:27.7473650Z Example 2025-12-04T09:12:27.7473874Z def mean_reduce_fn(agg_tensor): return agg_tensor.mean(dim=0) 2025-12-04T09:12:27.7474224Z mask_fn (Optional, Callable): 2025-12-04T09:12:27.7474521Z default mask_fn that is used to create the sparsification mask using the tensor obtained after 2025-12-04T09:12:27.7474892Z calling the reduce_fn(). This is used by default if a custom one is passed in the 2025-12-04T09:12:27.7475152Z register_layer(). 2025-12-04T09:12:27.7475463Z Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config 2025-12-04T09:12:27.7475771Z arguments. 2025-12-04T09:12:27.7476010Z features (Optional, list): 2025-12-04T09:12:27.7476216Z default selected features to sparsify. 2025-12-04T09:12:27.7476544Z If this is non-empty, then the mask_fn will be applied for each feature of the input. 2025-12-04T09:12:27.7476810Z For example, 2025-12-04T09:12:27.7477064Z mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features] 2025-12-04T09:12:27.7477338Z feature_dim (Optional, int): 2025-12-04T09:12:27.7477625Z default dimension of input features. Again, features along this dim will be chosen 2025-12-04T09:12:27.7477903Z for sparsification. 2025-12-04T09:12:27.7478092Z sparse_config (Dict): 2025-12-04T09:12:27.7478345Z Default configuration for the mask_fn. This config will be passed 2025-12-04T09:12:27.7478598Z with the mask_fn() 2025-12-04T09:12:27.7478768Z 2025-12-04T09:12:27.7478901Z Example: 2025-12-04T09:12:27.7479057Z >>> # xdoctest: +SKIP 2025-12-04T09:12:27.7479228Z >>> model = SomeModel() 2025-12-04T09:12:27.7479478Z >>> act_sparsifier = ActivationSparsifier(...) # init activation sparsifier 2025-12-04T09:12:27.7479746Z >>> # Initialize aggregate_fn 2025-12-04T09:12:27.7479924Z >>> def agg_fn(x, y): 2025-12-04T09:12:27.7480096Z >>> return x + y 2025-12-04T09:12:27.7480260Z >>> 2025-12-04T09:12:27.7480397Z >>> # Initialize reduce_fn 2025-12-04T09:12:27.7480578Z >>> def reduce_fn(x): 2025-12-04T09:12:27.7480754Z >>> return torch.mean(x, dim=0) 2025-12-04T09:12:27.7480934Z >>> 2025-12-04T09:12:27.7481068Z >>> # Initialize mask_fn 2025-12-04T09:12:27.7481242Z >>> def mask_fn(data): 2025-12-04T09:12:27.7481442Z >>> return torch.eye(data.shape).to(data.device) 2025-12-04T09:12:27.7481635Z >>> 2025-12-04T09:12:27.7481767Z >>> 2025-12-04T09:12:27.7481924Z >>> act_sparsifier.register_layer( 2025-12-04T09:12:27.7482117Z ... model.some_layer, 2025-12-04T09:12:27.7482303Z ... aggregate_fn=agg_fn, 2025-12-04T09:12:27.7482493Z ... reduce_fn=reduce_fn, 2025-12-04T09:12:27.7482690Z ... mask_fn=mask_fn, 2025-12-04T09:12:27.7482860Z ... ) 2025-12-04T09:12:27.7482992Z >>> 2025-12-04T09:12:27.7483140Z >>> # start training process 2025-12-04T09:12:27.7483324Z >>> for _ in [...]: 2025-12-04T09:12:27.7483488Z >>> # epoch starts 2025-12-04T09:12:27.7483703Z >>> # model.forward(), compute_loss() and model.backwards() 2025-12-04T09:12:27.7483927Z >>> # epoch ends 2025-12-04T09:12:27.7484112Z >>> act_sparsifier.step() 2025-12-04T09:12:27.7484294Z >>> # end training process 2025-12-04T09:12:27.7484481Z >>> sparsifier.squash_mask() 2025-12-04T09:12:27.7484658Z 2025-12-04T09:12:27.7485003Z Original Error: IndentationError("expected an indented block after 'for' statement on line 25", ('', 26, 1, '_._ = None\n', 26, 2)) 2025-12-04T09:12:27.7485385Z 2025-12-04T09:12:27.7485519Z _._ = None 2025-12-04T09:12:27.7485744Z ^ 2025-12-04T09:12:27.7485886Z warnings.warn(msg) 2025-12-04T09:12:27.7486044Z 2025-12-04T09:12:27.7486293Z --- Parse Warning: 12 / 17 --- 2025-12-04T09:12:27.7486930Z /opt/conda/envs/py_3.11/lib/python3.11/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=DeviceMesh.__getitem__ in modpath=/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributed/device_mesh.py line=547. 2025-12-04T09:12:27.7487647Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:12:27.7487913Z 2025-12-04T09:12:27.7488141Z Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh. 2025-12-04T09:12:27.7488524Z The submesh created consists of the dimensions and the communicators indicated by 2025-12-04T09:12:27.7488849Z ``mesh_dim_names`` 2025-12-04T09:12:27.7488999Z 2025-12-04T09:12:27.7489161Z Args: 2025-12-04T09:12:27.7489386Z mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the 2025-12-04T09:12:27.7489701Z mesh dimension of the DeviceMesh to create the submesh for. 2025-12-04T09:12:27.7489921Z Returns: 2025-12-04T09:12:27.7490076Z A :class:`DeviceMesh` object 2025-12-04T09:12:27.7490256Z 2025-12-04T09:12:27.7490486Z The following program runs on each process/rank in an SPMD manner in a world size of 8. 2025-12-04T09:12:27.7490780Z In the first example: 2025-12-04T09:12:27.7491037Z Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]). 2025-12-04T09:12:27.7491372Z Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of DeviceMesh:([4, 5, 6, 7]). 2025-12-04T09:12:27.7491709Z Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of DeviceMesh:([0, 4]). 2025-12-04T09:12:27.7492027Z Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of DeviceMesh:([1, 5]). 2025-12-04T09:12:27.7492343Z Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of DeviceMesh:([2, 6]). 2025-12-04T09:12:27.7492644Z Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of DeviceMesh:([3, 7]). 2025-12-04T09:12:27.7492880Z 2025-12-04T09:12:27.7493026Z In the second example: 2025-12-04T09:12:27.7493283Z Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]). 2025-12-04T09:12:27.7493641Z Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]). 2025-12-04T09:12:27.7493989Z Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]). 2025-12-04T09:12:27.7494334Z Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]). 2025-12-04T09:12:27.7494587Z 2025-12-04T09:12:27.7494730Z Example:: 2025-12-04T09:12:27.7494877Z 2025-12-04T09:12:27.7495015Z >>> # xdoctest: +SKIP("no rank") 2025-12-04T09:12:27.7495257Z >>> from torch.distributed.device_mesh import DeviceMesh 2025-12-04T09:12:27.7495480Z >>> 2025-12-04T09:12:27.7495677Z >>> # Initialize a 2D device mesh as (2, 4) to represent the topology 2025-12-04T09:12:27.7495951Z >>> # of cross-host(dim 0), and within-host (dim 1). 2025-12-04T09:12:27.7496257Z >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-12-04T09:12:27.7496536Z >>> tp_mesh = mesh_2d["tp"] 2025-12-04T09:12:27.7496720Z >>> dp_mesh = mesh_2d["dp"] 2025-12-04T09:12:27.7496896Z >>> 2025-12-04T09:12:27.7497042Z >>> # Initialize a 3D mesh. 2025-12-04T09:12:27.7497317Z >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp")) 2025-12-04T09:12:27.7497718Z >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh. 2025-12-04T09:12:27.7498031Z >>> dp_cp_mesh = mesh_3d["dp", "cp"] 2025-12-04T09:12:27.7498242Z >>> cp_dp_mesh = mesh_3d["cp", "dp"] 2025-12-04T09:12:27.7498418Z 2025-12-04T09:12:27.7498854Z 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)) 2025-12-04T09:12:27.7499321Z 2025-12-04T09:12:27.7499533Z mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-12-04T09:12:27.7499907Z ^ 2025-12-04T09:12:27.7500135Z warnings.warn(msg) 2025-12-04T09:12:27.7500305Z 2025-12-04T09:12:27.7500556Z --- Parse Warning: 13 / 17 --- 2025-12-04T09:12:27.7501320Z /opt/conda/envs/py_3.11/lib/python3.11/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=SavePlanner in modpath=/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributed/checkpoint/planner.py line=122. 2025-12-04T09:12:27.7502379Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:12:27.7502646Z 2025-12-04T09:12:27.7502903Z Abstract class defining the protocol used by save_state_dict to plan the save process. 2025-12-04T09:12:27.7503205Z 2025-12-04T09:12:27.7503456Z SavePlanners are stateful objects that can be used to customize the whole save process. 2025-12-04T09:12:27.7503760Z 2025-12-04T09:12:27.7503992Z SavePlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-12-04T09:12:27.7504291Z will be visible to the whole process. 2025-12-04T09:12:27.7504476Z 2025-12-04T09:12:27.7504709Z A planner subclass can expect the following sequence of calls during save_state_dict: 2025-12-04T09:12:27.7504980Z 2025-12-04T09:12:27.7505132Z 1) set_up_planner - called on all ranks. 2025-12-04T09:12:27.7505360Z Signals the start of a checkpoint save. 2025-12-04T09:12:27.7505553Z 2025-12-04T09:12:27.7505703Z 2) create_local_plan - called on all ranks. 2025-12-04T09:12:27.7506013Z Process the state_dict and produces a `SavePlan` that will be sent for global planning. 2025-12-04T09:12:27.7506295Z 2025-12-04T09:12:27.7506473Z 3) create_global_plan - called on the coordinator rank only. 2025-12-04T09:12:27.7506771Z Takes the SavePlan from all ranks and make any global decision. 2025-12-04T09:12:27.7507003Z 2025-12-04T09:12:27.7507153Z 4) finish_plan - called on all ranks. 2025-12-04T09:12:27.7507410Z This gives each rank a chance to adjust to global planning decisions. 2025-12-04T09:12:27.7507652Z 2025-12-04T09:12:27.7507823Z 5) resolve_data - called multiple times on each rank 2025-12-04T09:12:27.7508095Z Lookups a value on the `state_dict` for the storage layer to write. 2025-12-04T09:12:27.7508333Z 2025-12-04T09:12:27.7508585Z Users are recommended to extend DefaultSavePlanner instead of this interface directly as 2025-12-04T09:12:27.7508936Z most changes can be expressed by changes in a single method. 2025-12-04T09:12:27.7509169Z 2025-12-04T09:12:27.7509323Z There are 3 usual patterns of extension: 2025-12-04T09:12:27.7509510Z 2025-12-04T09:12:27.7509722Z Rewriting state_dict. This is the simplest way to extend the save process as it 2025-12-04T09:12:27.7510064Z doesn't requite understanding the intrincacies of how SavePlan works: 2025-12-04T09:12:27.7510308Z 2025-12-04T09:12:27.7510451Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:12:27.7510677Z >>> class RenamePlanner(DefaultSavePlanner): 2025-12-04T09:12:27.7510891Z >>> def set_up_planner( 2025-12-04T09:12:27.7511061Z >>> self, 2025-12-04T09:12:27.7511235Z >>> state_dict: STATE_DICT_TYPE, 2025-12-04T09:12:27.7511452Z >>> storage_meta: Optional[StorageMeta], 2025-12-04T09:12:27.7511657Z >>> is_coordinator: bool, 2025-12-04T09:12:27.7511844Z >>> ) -> None: 2025-12-04T09:12:27.7512021Z >>> # prefix all keys with `foo_`` 2025-12-04T09:12:27.7512320Z >>> super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator) 2025-12-04T09:12:27.7512594Z 2025-12-04T09:12:27.7512866Z Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted 2025-12-04T09:12:27.7513166Z 2025-12-04T09:12:27.7513309Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:12:27.7513527Z >>> class FP16Planner(DefaultSavePlanner): 2025-12-04T09:12:27.7513741Z >>> def create_local_plan(self): 2025-12-04T09:12:27.7513944Z >>> plan = super().create_local_plan() 2025-12-04T09:12:27.7514151Z >>> for p in plan: 2025-12-04T09:12:27.7514446Z >>> if p.tensor_data is not None: 2025-12-04T09:12:27.7514697Z >>> p.tensor_data.properties.dtype = torch.float16 2025-12-04T09:12:27.7514976Z >>> return plan 2025-12-04T09:12:27.7515146Z >>> 2025-12-04T09:12:27.7515306Z >>> def resolve_data(self, write_item): 2025-12-04T09:12:27.7515522Z >>> item = super().resolve_data(write_item) 2025-12-04T09:12:27.7515826Z >>> return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16) 2025-12-04T09:12:27.7516099Z 2025-12-04T09:12:27.7516359Z Using the global planning step to make central decisions that can't be made individually by each rank 2025-12-04T09:12:27.7516712Z 2025-12-04T09:12:27.7516863Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:12:27.7517063Z >>> from itertools import zip_longest 2025-12-04T09:12:27.7517270Z >>> from dataclasses import replace 2025-12-04T09:12:27.7517510Z >>> class DDPLoadBalancingPlanner(DefaultSavePlanner): 2025-12-04T09:12:27.7517837Z >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0 2025-12-04T09:12:27.7518138Z >>> # This sample doesn't handle ShardedTensors 2025-12-04T09:12:27.7518371Z >>> def create_global_plan(self, all_plans): 2025-12-04T09:12:27.7518608Z >>> iters = [iter(all_plans[0].items)] * len(all_plans) 2025-12-04T09:12:27.7518825Z >>> items_per_rank = [ 2025-12-04T09:12:27.7519036Z >>> [item for item in items if item is not None] 2025-12-04T09:12:27.7519282Z >>> for items in zip(*zip_longest(*iters), strict=True) 2025-12-04T09:12:27.7519496Z >>> ] 2025-12-04T09:12:27.7519648Z >>> all_plans = [ 2025-12-04T09:12:27.7519838Z >>> replace(plan, items=items) 2025-12-04T09:12:27.7520086Z >>> for plan, items in zip(all_plans, items_per_rank, strict=True) 2025-12-04T09:12:27.7520312Z >>> ] 2025-12-04T09:12:27.7520498Z >>> return super().create_global_plan(all_plans) 2025-12-04T09:12:27.7520706Z 2025-12-04T09:12:27.7520936Z Finally, some planners need to save additional metadata in the checkpoint, this is 2025-12-04T09:12:27.7521302Z accomplished by having each rank contribute their data items in the local plan and 2025-12-04T09:12:27.7521594Z the global planner aggregate them: 2025-12-04T09:12:27.7521782Z 2025-12-04T09:12:27.7521923Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:12:27.7522158Z >>> class SaveExtraDataPlanner(DefaultSavePlanner): 2025-12-04T09:12:27.7522401Z >>> def create_local_plan(self) -> SavePlan: 2025-12-04T09:12:27.7522616Z >>> plan = super().create_local_plan() 2025-12-04T09:12:27.7522867Z >>> return replace(plan, planner_data="per-rank-data") 2025-12-04T09:12:27.7523088Z >>> 2025-12-04T09:12:27.7523333Z >>> def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]: 2025-12-04T09:12:27.7523686Z >>> global_plan, metadata = super().create_global_plan(all_plans) 2025-12-04T09:12:27.7523973Z >>> merged_data = [p.planner_data for p in global_plan] 2025-12-04T09:12:27.7524235Z >>> metadata = replace(metadata, planner_data=merged_data) 2025-12-04T09:12:27.7524468Z >>> return global_plan, metadata 2025-12-04T09:12:27.7524654Z 2025-12-04T09:12:27.7525014Z Original Error: IndentationError('expected an indented block after function definition on line 3', ('', 9, 0, '_._ = None\n', 9, -1)) 2025-12-04T09:12:27.7525405Z 2025-12-04T09:12:27.7525538Z _._ = None 2025-12-04T09:12:27.7525685Z ^ 2025-12-04T09:12:27.7525823Z warnings.warn(msg) 2025-12-04T09:12:27.7525986Z 2025-12-04T09:12:27.7526223Z --- Parse Warning: 14 / 17 --- 2025-12-04T09:12:27.7526941Z /opt/conda/envs/py_3.11/lib/python3.11/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=LoadPlanner in modpath=/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributed/checkpoint/planner.py line=305. 2025-12-04T09:12:27.7527677Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:12:27.7527940Z 2025-12-04T09:12:27.7528187Z Abstract class defining the protocol used by load_state_dict to plan the load process. 2025-12-04T09:12:27.7528459Z 2025-12-04T09:12:27.7528714Z LoadPlanner are stateful objects that can be used to customize the whole load process. 2025-12-04T09:12:27.7528993Z 2025-12-04T09:12:27.7529213Z LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-12-04T09:12:27.7529504Z will be visible to the whole process. 2025-12-04T09:12:27.7529699Z 2025-12-04T09:12:27.7529929Z A planner subclass can expect the following sequence of calls during load_state_dict: 2025-12-04T09:12:27.7530192Z 2025-12-04T09:12:27.7530349Z 1) set_up_planner - called on all ranks. 2025-12-04T09:12:27.7530571Z Signals the start of loading a checkpoint. 2025-12-04T09:12:27.7530767Z 2025-12-04T09:12:27.7530926Z 2) create_local_plan - called on all ranks. 2025-12-04T09:12:27.7531227Z Process the state_dict and produces a `LoadPlan` that will be sent for global planning. 2025-12-04T09:12:27.7531492Z 2025-12-04T09:12:27.7531679Z 3) create_global_plan - called on the coordinator rank only. 2025-12-04T09:12:27.7531962Z Takes the LoadPlan from all ranks and make any global decision. 2025-12-04T09:12:27.7532181Z 2025-12-04T09:12:27.7532347Z 4) load_bytes - called multiple times on each rank 2025-12-04T09:12:27.7532601Z This is called once per non-tensor value in state_dict. 2025-12-04T09:12:27.7532812Z 2025-12-04T09:12:27.7533007Z 5) resolve_tensor and commit_tensor - called multiple times on each rank 2025-12-04T09:12:27.7533308Z They are called in pair for each Tensor value in state_dict. 2025-12-04T09:12:27.7533523Z 2025-12-04T09:12:27.7533760Z Users are recommended to extend DefaultLoadPlanner instead of this interface directly as 2025-12-04T09:12:27.7534098Z most changes can be expressed by changes in a single method. 2025-12-04T09:12:27.7534316Z 2025-12-04T09:12:27.7534467Z There are two usual patterns of extension: 2025-12-04T09:12:27.7534654Z 2025-12-04T09:12:27.7534872Z Rewriting state_dict. This is the simplest way to extend the load process as it 2025-12-04T09:12:27.7535219Z doesn't requite understanding the intrincacies of how LoadPlan works. We need 2025-12-04T09:12:27.7535546Z to keep a reference to the original state_dict as load happens in place so 2025-12-04T09:12:27.7535816Z we need to be able to perform it in place 2025-12-04T09:12:27.7536005Z 2025-12-04T09:12:27.7536146Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:12:27.7536362Z >>> class RenamePlanner(DefaultLoadPlanner): 2025-12-04T09:12:27.7536568Z >>> def set_up_planner( 2025-12-04T09:12:27.7536729Z >>> self, 2025-12-04T09:12:27.7536901Z >>> state_dict: STATE_DICT_TYPE, 2025-12-04T09:12:27.7537099Z >>> metadata: Metadata, 2025-12-04T09:12:27.7537278Z >>> is_coordinator: bool, 2025-12-04T09:12:27.7537460Z >>> ) -> None: 2025-12-04T09:12:27.7537641Z >>> self.original_state_dict = state_dict 2025-12-04T09:12:27.7537884Z >>> state_dict = {"foo_" + k: v for k, v in state_dict.items()} 2025-12-04T09:12:27.7538090Z >>> 2025-12-04T09:12:27.7538247Z >>> if self.flatten_sharded_tensors: 2025-12-04T09:12:27.7538475Z >>> state_dict = _flatten_sharded_tensors(state_dict) 2025-12-04T09:12:27.7538677Z >>> 2025-12-04T09:12:27.7538825Z >>> if self.flatten_state_dict: 2025-12-04T09:12:27.7539062Z >>> state_dict, self.mappings = flatten_state_dict(state_dict) 2025-12-04T09:12:27.7539276Z >>> 2025-12-04T09:12:27.7539425Z >>> self.state_dict = state_dict 2025-12-04T09:12:27.7539654Z >>> self.metadata = metadata 2025-12-04T09:12:27.7539962Z >>> self.is_coordinator = is_coordinator 2025-12-04T09:12:27.7540210Z >>> 2025-12-04T09:12:27.7540375Z >>> def load_bytes(self, read_item, value): 2025-12-04T09:12:27.7540591Z >>> # Remove the "foo_" prefix 2025-12-04T09:12:27.7540908Z >>> self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False) 2025-12-04T09:12:27.7541235Z 2025-12-04T09:12:27.7541375Z 2025-12-04T09:12:27.7541625Z Modifying resolve_tensor and commit_tensor to handle load time transformation. 2025-12-04T09:12:27.7541897Z 2025-12-04T09:12:27.7542048Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:12:27.7542278Z >>> class MetaModelMaterialize(DefaultSavePlanner): 2025-12-04T09:12:27.7542519Z >>> def resolve_tensor(self, read_item): 2025-12-04T09:12:27.7542753Z >>> tensor = super().resolve_tensor(read_item) 2025-12-04T09:12:27.7542986Z >>> return torch.empty_like(tensor, device="cpu") 2025-12-04T09:12:27.7543180Z >>> 2025-12-04T09:12:27.7543344Z >>> def commit_tensor(self, read_item, tensor): 2025-12-04T09:12:27.7543578Z >>> self.state_dict[read_item.dest_index.fqn] = tensor 2025-12-04T09:12:27.7543774Z 2025-12-04T09:12:27.7544126Z Original Error: IndentationError('expected an indented block after function definition on line 22', ('', 23, 0, '_._ = None\n', 23, -1)) 2025-12-04T09:12:27.7544512Z 2025-12-04T09:12:27.7544634Z _._ = None 2025-12-04T09:12:27.7544781Z ^ 2025-12-04T09:12:27.7544923Z warnings.warn(msg) 2025-12-04T09:12:27.7545072Z 2025-12-04T09:12:27.7545291Z --- Parse Warning: 15 / 17 --- 2025-12-04T09:12:27.7545905Z /opt/conda/envs/py_3.11/lib/python3.11/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=FullStateDictConfig in modpath=/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/distributed/fsdp/api.py line=295. 2025-12-04T09:12:27.7546575Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:12:27.7546820Z 2025-12-04T09:12:27.7547018Z ``FullStateDictConfig`` is a config class meant to be used with 2025-12-04T09:12:27.7547313Z ``StateDictType.FULL_STATE_DICT``. We recommend enabling both 2025-12-04T09:12:27.7547598Z ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state 2025-12-04T09:12:27.7547903Z dicts to save GPU memory and CPU memory, respectively. This config class 2025-12-04T09:12:27.7548203Z is meant to be used via the :func:`state_dict_type` context manager as 2025-12-04T09:12:27.7548429Z follows: 2025-12-04T09:12:27.7548561Z 2025-12-04T09:12:27.7548716Z >>> # xdoctest: +SKIP("undefined variables") 2025-12-04T09:12:27.7548991Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2025-12-04T09:12:27.7549259Z >>> fsdp = FSDP(model, auto_wrap_policy=...) 2025-12-04T09:12:27.7549522Z >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True) 2025-12-04T09:12:27.7549827Z >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg): 2025-12-04T09:12:27.7550080Z >>> state = fsdp.state_dict() 2025-12-04T09:12:27.7550324Z >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0. 2025-12-04T09:12:27.7550636Z >>> # To reload checkpoint for inference, finetuning, transfer learning, etc: 2025-12-04T09:12:27.7550961Z >>> model = model_fn() # Initialize model in preparation for wrapping with FSDP 2025-12-04T09:12:27.7551216Z >>> if dist.get_rank() == 0: 2025-12-04T09:12:27.7551452Z >>> # Load checkpoint only on rank 0 to avoid memory redundancy 2025-12-04T09:12:27.7551713Z >>> state_dict = torch.load("my_checkpoint.pt") 2025-12-04T09:12:27.7551934Z >>> model.load_state_dict(state_dict) 2025-12-04T09:12:27.7552241Z >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument 2025-12-04T09:12:27.7552574Z >>> # communicates loaded checkpoint states from rank 0 to rest of the world. 2025-12-04T09:12:27.7552856Z >>> fsdp = FSDP( 2025-12-04T09:12:27.7553014Z ... model, 2025-12-04T09:12:27.7553200Z ... device_id=torch.cuda.current_device(), 2025-12-04T09:12:27.7553413Z ... auto_wrap_policy=..., 2025-12-04T09:12:27.7553595Z ... sync_module_states=True, 2025-12-04T09:12:27.7553780Z ... ) 2025-12-04T09:12:27.7553995Z >>> # After this point, all ranks have FSDP model with loaded checkpoint. 2025-12-04T09:12:27.7554220Z 2025-12-04T09:12:27.7554352Z Attributes: 2025-12-04T09:12:27.7554563Z rank0_only (bool): If ``True``, then only rank 0 saves the full state 2025-12-04T09:12:27.7554858Z dict, and nonzero ranks save an empty dict. If ``False``, then all 2025-12-04T09:12:27.7555119Z ranks save the full state dict. (Default: ``False``) 2025-12-04T09:12:27.7555328Z 2025-12-04T09:12:27.7555663Z Original Error: IndentationError("expected an indented block after 'if' statement on line 10", ('', 11, 1, '_._ = None\n', 11, 2)) 2025-12-04T09:12:27.7556026Z 2025-12-04T09:12:27.7556158Z _._ = None 2025-12-04T09:12:27.7556300Z ^ 2025-12-04T09:12:27.7556432Z warnings.warn(msg) 2025-12-04T09:12:27.7556589Z 2025-12-04T09:12:27.7556788Z --- Parse Warning: 16 / 17 --- 2025-12-04T09:12:27.7557412Z /opt/conda/envs/py_3.11/lib/python3.11/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=register_parametrization in modpath=/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/nn/utils/parametrize.py line=437. 2025-12-04T09:12:27.7558084Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:12:27.7558385Z Register a parametrization to a tensor in a module. 2025-12-04T09:12:27.7558591Z 2025-12-04T09:12:27.7558815Z Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``, 2025-12-04T09:12:27.7559188Z the module will return the parametrized version ``parametrization(module.weight)``. 2025-12-04T09:12:27.7559551Z If the original tensor requires a gradient, the backward pass will differentiate 2025-12-04T09:12:27.7559925Z through :attr:`parametrization`, and the optimizer will update the tensor accordingly. 2025-12-04T09:12:27.7560187Z 2025-12-04T09:12:27.7560429Z The first time that a module registers a parametrization, this function will add an attribute 2025-12-04T09:12:27.7560800Z ``parametrizations`` to the module of type :class:`~ParametrizationList`. 2025-12-04T09:12:27.7561040Z 2025-12-04T09:12:27.7561254Z The list of parametrizations on the tensor ``weight`` will be accessible under 2025-12-04T09:12:27.7561539Z ``module.parametrizations.weight``. 2025-12-04T09:12:27.7561730Z 2025-12-04T09:12:27.7561888Z The original tensor will be accessible under 2025-12-04T09:12:27.7562126Z ``module.parametrizations.weight.original``. 2025-12-04T09:12:27.7562329Z 2025-12-04T09:12:27.7562539Z Parametrizations may be concatenated by registering several parametrizations 2025-12-04T09:12:27.7562808Z on the same attribute. 2025-12-04T09:12:27.7562974Z 2025-12-04T09:12:27.7563176Z The training mode of a registered parametrization is updated on registration 2025-12-04T09:12:27.7563458Z to match the training mode of the host module 2025-12-04T09:12:27.7563650Z 2025-12-04T09:12:27.7563885Z Parametrized parameters and buffers have an inbuilt caching system that can be activated 2025-12-04T09:12:27.7564197Z using the context manager :func:`cached`. 2025-12-04T09:12:27.7564388Z 2025-12-04T09:12:27.7564599Z A :attr:`parametrization` may optionally implement a method with signature 2025-12-04T09:12:27.7564839Z 2025-12-04T09:12:27.7565038Z .. code-block:: python 2025-12-04T09:12:27.7565209Z 2025-12-04T09:12:27.7565401Z def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]] 2025-12-04T09:12:27.7565665Z 2025-12-04T09:12:27.7565888Z This method is called on the unparametrized tensor when the first parametrization 2025-12-04T09:12:27.7566210Z is registered to compute the initial value of the original tensor. 2025-12-04T09:12:27.7566565Z If this method is not implemented, the original tensor will be just the unparametrized tensor. 2025-12-04T09:12:27.7566847Z 2025-12-04T09:12:27.7567093Z If all the parametrizations registered on a tensor implement `right_inverse` it is possible 2025-12-04T09:12:27.7567474Z to initialize a parametrized tensor by assigning to it, as shown in the example below. 2025-12-04T09:12:27.7567742Z 2025-12-04T09:12:27.7567946Z It is possible for the first parametrization to depend on several inputs. 2025-12-04T09:12:27.7568271Z This may be implemented returning a tuple of tensors from ``right_inverse`` 2025-12-04T09:12:27.7568610Z (see the example implementation of a ``RankOne`` parametrization below). 2025-12-04T09:12:27.7568858Z 2025-12-04T09:12:27.7569108Z In this case, the unconstrained tensors are also located under ``module.parametrizations.weight`` 2025-12-04T09:12:27.7569444Z with names ``original0``, ``original1``,... 2025-12-04T09:12:27.7569637Z 2025-12-04T09:12:27.7569770Z .. note:: 2025-12-04T09:12:27.7569906Z 2025-12-04T09:12:27.7570139Z If unsafe=False (default) both the forward and right_inverse methods will be called 2025-12-04T09:12:27.7570449Z once to perform a number of consistency checks. 2025-12-04T09:12:27.7570746Z If unsafe=True, then right_inverse will be called if the tensor is not parametrized, 2025-12-04T09:12:27.7571044Z and nothing will be called otherwise. 2025-12-04T09:12:27.7571235Z 2025-12-04T09:12:27.7571364Z .. note:: 2025-12-04T09:12:27.7571515Z 2025-12-04T09:12:27.7571713Z In most situations, ``right_inverse`` will be a function such that 2025-12-04T09:12:27.7571982Z ``forward(right_inverse(X)) == X`` (see 2025-12-04T09:12:27.7572297Z `right inverse `_). 2025-12-04T09:12:27.7572664Z Sometimes, when the parametrization is not surjective, it may be reasonable 2025-12-04T09:12:27.7572940Z to relax this. 2025-12-04T09:12:27.7573097Z 2025-12-04T09:12:27.7573234Z .. warning:: 2025-12-04T09:12:27.7573388Z 2025-12-04T09:12:27.7573616Z If a parametrization depends on several inputs, :func:`~register_parametrization` 2025-12-04T09:12:27.7573991Z will register a number of new parameters. If such parametrization is registered 2025-12-04T09:12:27.7574359Z after the optimizer is created, these new parameters will need to be added manually 2025-12-04T09:12:27.7574700Z to the optimizer. See :meth:`torch.Optimizer.add_param_group`. 2025-12-04T09:12:27.7574928Z 2025-12-04T09:12:27.7575059Z Args: 2025-12-04T09:12:27.7575280Z module (nn.Module): module on which to register the parametrization 2025-12-04T09:12:27.7575588Z tensor_name (str): name of the parameter or buffer on which to register 2025-12-04T09:12:27.7575897Z the parametrization 2025-12-04T09:12:27.7576153Z parametrization (nn.Module): the parametrization to register 2025-12-04T09:12:27.7576396Z Keyword args: 2025-12-04T09:12:27.7576628Z unsafe (bool): a boolean flag that denotes whether the parametrization 2025-12-04T09:12:27.7576936Z may change the dtype and shape of the tensor. Default: `False` 2025-12-04T09:12:27.7577278Z Warning: the parametrization is not checked for consistency upon registration. 2025-12-04T09:12:27.7577593Z Enable this flag at your own risk. 2025-12-04T09:12:27.7577790Z 2025-12-04T09:12:27.7577923Z Raises: 2025-12-04T09:12:27.7578241Z ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name` 2025-12-04T09:12:27.7578522Z 2025-12-04T09:12:27.7578656Z Examples: 2025-12-04T09:12:27.7578840Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK) 2025-12-04T09:12:27.7579057Z >>> import torch 2025-12-04T09:12:27.7579239Z >>> import torch.nn as nn 2025-12-04T09:12:27.7579455Z >>> import torch.nn.utils.parametrize as P 2025-12-04T09:12:27.7579648Z >>> 2025-12-04T09:12:27.7579897Z >>> class Symmetric(nn.Module): 2025-12-04T09:12:27.7580133Z >>> def forward(self, X): 2025-12-04T09:12:27.7580369Z >>> return X.triu() + X.triu(1).T # Return a symmetric matrix 2025-12-04T09:12:27.7580629Z >>> 2025-12-04T09:12:27.7580825Z >>> def right_inverse(self, A): 2025-12-04T09:12:27.7581052Z >>> return A.triu() 2025-12-04T09:12:27.7581264Z >>> 2025-12-04T09:12:27.7581438Z >>> m = nn.Linear(5, 5) 2025-12-04T09:12:27.7581700Z >>> P.register_parametrization(m, "weight", Symmetric()) 2025-12-04T09:12:27.7582037Z >>> print(torch.allclose(m.weight, m.weight.T)) # m.weight is now symmetric 2025-12-04T09:12:27.7582300Z True 2025-12-04T09:12:27.7582460Z >>> A = torch.rand(5, 5) 2025-12-04T09:12:27.7582646Z >>> A = A + A.T # A is now symmetric 2025-12-04T09:12:27.7582899Z >>> m.weight = A # Initialize the weight to be the symmetric matrix A 2025-12-04T09:12:27.7583162Z >>> print(torch.allclose(m.weight, A)) 2025-12-04T09:12:27.7583348Z True 2025-12-04T09:12:27.7583495Z 2025-12-04T09:12:27.7583643Z >>> class RankOne(nn.Module): 2025-12-04T09:12:27.7583839Z >>> def forward(self, x, y): 2025-12-04T09:12:27.7584068Z >>> # Form a rank 1 matrix multiplying two vectors 2025-12-04T09:12:27.7584313Z >>> return x.unsqueeze(-1) @ y.unsqueeze(-2) 2025-12-04T09:12:27.7584514Z >>> 2025-12-04T09:12:27.7584671Z >>> def right_inverse(self, Z): 2025-12-04T09:12:27.7584888Z >>> # Project Z onto the rank 1 matrices 2025-12-04T09:12:27.7585125Z >>> U, S, Vh = torch.linalg.svd(Z, full_matrices=False) 2025-12-04T09:12:27.7585352Z >>> # Return rescaled singular vectors 2025-12-04T09:12:27.7585569Z >>> s0_sqrt = S[0].sqrt().unsqueeze(-1) 2025-12-04T09:12:27.7585809Z >>> return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt 2025-12-04T09:12:27.7586019Z >>> 2025-12-04T09:12:27.7586204Z >>> linear_rank_one = P.register_parametrization( 2025-12-04T09:12:27.7586437Z ... nn.Linear(4, 4), "weight", RankOne() 2025-12-04T09:12:27.7586630Z ... ) 2025-12-04T09:12:27.7586831Z >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item()) 2025-12-04T09:12:27.7587067Z 1 2025-12-04T09:12:27.7587202Z 2025-12-04T09:12:27.7587320Z 2025-12-04T09:12:27.7587676Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 3, 0, '_._ = None\n', 3, -1)) 2025-12-04T09:12:27.7588056Z 2025-12-04T09:12:27.7588176Z _._ = None 2025-12-04T09:12:27.7588319Z ^ 2025-12-04T09:12:27.7588460Z warnings.warn(msg) 2025-12-04T09:12:27.7588608Z 2025-12-04T09:12:27.7588832Z --- Parse Warning: 17 / 17 --- 2025-12-04T09:12:27.7589438Z /opt/conda/envs/py_3.11/lib/python3.11/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=ReduceLROnPlateau in modpath=/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/optim/lr_scheduler.py line=1586. 2025-12-04T09:12:27.7590154Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:12:27.7590459Z Reduce learning rate when a metric has stopped improving. 2025-12-04T09:12:27.7590712Z 2025-12-04T09:12:27.7590913Z Models often benefit from reducing the learning rate by a factor 2025-12-04T09:12:27.7591198Z of 2-10 once learning stagnates. This scheduler reads a metrics 2025-12-04T09:12:27.7591487Z quantity and if no improvement is seen for a 'patience' number 2025-12-04T09:12:27.7591749Z of epochs, the learning rate is reduced. 2025-12-04T09:12:27.7591948Z 2025-12-04T09:12:27.7592078Z Args: 2025-12-04T09:12:27.7592262Z optimizer (Optimizer): Wrapped optimizer. 2025-12-04T09:12:27.7592510Z mode (str): One of `min`, `max`. In `min` mode, lr will 2025-12-04T09:12:27.7592758Z be reduced when the quantity monitored has stopped 2025-12-04T09:12:27.7593022Z decreasing; in `max` mode it will be reduced when the 2025-12-04T09:12:27.7593300Z quantity monitored has stopped increasing. Default: 'min'. 2025-12-04T09:12:27.7593573Z factor (float): Factor by which the learning rate will be 2025-12-04T09:12:27.7593826Z reduced. new_lr = lr * factor. Default: 0.1. 2025-12-04T09:12:27.7594099Z patience (int): The number of allowed epochs with no improvement after 2025-12-04T09:12:27.7594369Z which the learning rate will be reduced. 2025-12-04T09:12:27.7594638Z For example, consider the case of having no patience (`patience = 0`). 2025-12-04T09:12:27.7595024Z In the first epoch, a baseline is established and is always considered good as there's no previous baseline. 2025-12-04T09:12:27.7595407Z In the second epoch, if the performance is worse than the baseline, 2025-12-04T09:12:27.7595675Z we have what is considered an intolerable epoch. 2025-12-04T09:12:27.7595983Z Since the count of intolerable epochs (1) is greater than the patience level (0), 2025-12-04T09:12:27.7596297Z the learning rate is reduced at the end of this epoch. 2025-12-04T09:12:27.7596635Z From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch 2025-12-04T09:12:27.7597038Z if the performance is worse than the baseline. If the performance improves or remains the same, 2025-12-04T09:12:27.7597352Z the learning rate is not adjusted. 2025-12-04T09:12:27.7597562Z Default: 10. 2025-12-04T09:12:27.7597791Z threshold (float): Threshold for measuring the new optimum, 2025-12-04T09:12:27.7598054Z to only focus on significant changes. Default: 1e-4. 2025-12-04T09:12:27.7598317Z threshold_mode (str): One of `rel`, `abs`. In `rel` mode, 2025-12-04T09:12:27.7598585Z dynamic_threshold = best * ( 1 + threshold ) in 'max' 2025-12-04T09:12:27.7598832Z mode or best * ( 1 - threshold ) in `min` mode. 2025-12-04T09:12:27.7599083Z In `abs` mode, dynamic_threshold = best + threshold in 2025-12-04T09:12:27.7599353Z `max` mode or best - threshold in `min` mode. Default: 'rel'. 2025-12-04T09:12:27.7599627Z cooldown (int): Number of epochs to wait before resuming 2025-12-04T09:12:27.7599889Z normal operation after lr has been reduced. Default: 0. 2025-12-04T09:12:27.7600156Z min_lr (float or list): A scalar or a list of scalars. A 2025-12-04T09:12:27.7600410Z lower bound on the learning rate of all param groups 2025-12-04T09:12:27.7600648Z or each group respectively. Default: 0. 2025-12-04T09:12:27.7600903Z eps (float): Minimal decay applied to lr. If the difference 2025-12-04T09:12:27.7601175Z between new and old lr is smaller than eps, the update is 2025-12-04T09:12:27.7601418Z ignored. Default: 1e-8. 2025-12-04T09:12:27.7601592Z 2025-12-04T09:12:27.7601762Z Example: 2025-12-04T09:12:27.7602096Z >>> # xdoctest: +SKIP 2025-12-04T09:12:27.7602391Z >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9) 2025-12-04T09:12:27.7602690Z >>> scheduler = ReduceLROnPlateau(optimizer, "min") 2025-12-04T09:12:27.7602915Z >>> for epoch in range(10): 2025-12-04T09:12:27.7603095Z >>> train(...) 2025-12-04T09:12:27.7603281Z >>> val_loss = validate(...) 2025-12-04T09:12:27.7603511Z >>> # Note that step should be called after validate() 2025-12-04T09:12:27.7603730Z >>> scheduler.step(val_loss) 2025-12-04T09:12:27.7603917Z 2025-12-04T09:12:27.7604120Z .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png 2025-12-04T09:12:27.7604343Z 2025-12-04T09:12:27.7604636Z Original Error: IndentationError('unexpected indent', ('', 8, 4, ' scheduler.step(val_loss)\n', 8, -1)) 2025-12-04T09:12:27.7604967Z 2025-12-04T09:12:27.7605110Z scheduler.step(val_loss) 2025-12-04T09:12:27.7605278Z ^ 2025-12-04T09:12:27.7605416Z warnings.warn(msg) 2025-12-04T09:12:27.7605570Z 2025-12-04T09:12:27.7605728Z  2025-12-04T09:12:27.7605919Z === Found 10 run-time warnings === 2025-12-04T09:12:27.7606165Z --- Runtime Warning: 1 / 10 --- 2025-12-04T09:12:27.7606409Z example = 2025-12-04T09:12:27.7607319Z :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() 2025-12-04T09:12:27.7608155Z 2025-12-04T09:12:27.7608345Z --- Runtime Warning: 2 / 10 --- 2025-12-04T09:12:27.7608634Z example = 2025-12-04T09:12:27.7609510Z /opt/conda/envs/py_3.11/lib/python3.11/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.) 2025-12-04T09:12:27.7610305Z return super().refine_names(names) 2025-12-04T09:12:27.7610492Z 2025-12-04T09:12:27.7610682Z --- Runtime Warning: 3 / 10 --- 2025-12-04T09:12:27.7610975Z example = 2025-12-04T09:12:27.7611529Z /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/library.py:275: UserWarning: Warning only once for all operators, other operators may also be overridden. 2025-12-04T09:12:27.7612084Z Overriding a previously registered kernel for the same operator and the same dispatch key 2025-12-04T09:12:27.7612435Z operator: aten::div.Tensor(Tensor self, Tensor other) -> Tensor 2025-12-04T09:12:27.7612778Z registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSchema.cpp:6 2025-12-04T09:12:27.7613071Z dispatch key: CPU 2025-12-04T09:12:27.7613406Z previous kernel: registered at /var/lib/jenkins/workspace/aten/src/ATen/LegacyBatchingRegistrations.cpp:1079 2025-12-04T09:12:27.7614184Z new kernel: registered at :1 (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/core/dispatch/OperatorEntry.cpp:215.) 2025-12-04T09:12:27.7614839Z impl_fn(self.ns, name.split("::")[-1], dispatch_key) 2025-12-04T09:12:27.7615043Z 2025-12-04T09:12:27.7615233Z --- Runtime Warning: 4 / 10 --- 2025-12-04T09:12:27.7615571Z example = 2025-12-04T09:12:27.7616733Z /opt/conda/envs/py_3.11/lib/python3.11/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.) 2025-12-04T09:12:27.7617843Z return torch._nested_tensor_from_tensor_list(ts, dtype, None, device, None) 2025-12-04T09:12:27.7618101Z 2025-12-04T09:12:27.7618286Z --- Runtime Warning: 5 / 10 --- 2025-12-04T09:12:27.7618563Z example = 2025-12-04T09:12:27.7619580Z :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.) 2025-12-04T09:12:27.7620735Z 2025-12-04T09:12:27.7620965Z --- Runtime Warning: 6 / 10 --- 2025-12-04T09:12:27.7621287Z example = 2025-12-04T09:12:27.7622404Z /opt/conda/envs/py_3.11/lib/python3.11/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 2025-12-04T09:12:27.7623464Z new_node = root_const_gm.graph.get_attr(in_node.target) 2025-12-04T09:12:27.7623717Z 2025-12-04T09:12:27.7623930Z --- Runtime Warning: 7 / 10 --- 2025-12-04T09:12:27.7624282Z example = 2025-12-04T09:12:27.7625202Z /opt/conda/envs/py_3.11/lib/python3.11/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) 2025-12-04T09:12:27.7626002Z self.encoder = TransformerEncoder( 2025-12-04T09:12:27.7626216Z 2025-12-04T09:12:27.7626427Z --- Runtime Warning: 8 / 10 --- 2025-12-04T09:12:27.7626732Z example = 2025-12-04T09:12:27.7627565Z :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) 2025-12-04T09:12:27.7628254Z 2025-12-04T09:12:27.7628440Z --- Runtime Warning: 9 / 10 --- 2025-12-04T09:12:27.7628727Z example = 2025-12-04T09:12:27.7629347Z /opt/conda/envs/py_3.11/lib/python3.11/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`. 2025-12-04T09:12:27.7629880Z WeightNorm.apply(module, name, dim) 2025-12-04T09:12:27.7630065Z 2025-12-04T09:12:27.7630254Z --- Runtime Warning: 10 / 10 --- 2025-12-04T09:12:27.7630546Z example = 2025-12-04T09:12:27.7631200Z /opt/conda/envs/py_3.11/lib/python3.11/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`. 2025-12-04T09:12:27.7631756Z WeightNorm.apply(module, name, dim) 2025-12-04T09:12:27.7631940Z 2025-12-04T09:12:27.7632184Z === 378 passed, 516 skipped, 27 warnings in 14.80 seconds === 2025-12-04T09:12:27.7632497Z Finished doctests 1/1 ... [2025-12-04 09:12:27.732075][1083.43186904], took 0.25min 2025-12-04T09:12:27.7632807Z Running nn/test_pooling 1/1 ... [2025-12-04 09:12:27.733012][1083.432818053] 2025-12-04T09:12:27.7633048Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:12:27.7633601Z Executing ['/opt/conda/envs/py_3.11/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 09:12:27.733304] 2025-12-04T09:13:50.9417588Z 2025-12-04T09:13:50.9418389Z nn/test_pooling 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_pooling_1.1_03fe2cf28c3dbc9b_.log 2025-12-04T09:13:50.9450809Z 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 2025-12-04T09:13:50.9483609Z 2025-12-04T09:13:50.9483911Z Finished nn/test_pooling 1/1 ... [2025-12-04 09:13:50.941700][1166.641497732], took 1.39min 2025-12-04T09:13:50.9484541Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_pooling/nn.test_pooling-402a27797e3ab7a1.xml 2025-12-04T09:13:51.0258444Z Running test_autocast 1/1 ... [2025-12-04 09:13:51.024930][1166.724733328] 2025-12-04T09:13:51.0258764Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:13:51.0259964Z Executing ['/opt/conda/envs/py_3.11/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 09:13:51.025236] 2025-12-04T09:14:01.7731109Z 2025-12-04T09:14:01.7731991Z test_autocast 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autocast_1.1_5111a9aa24966081_.log 2025-12-04T09:14:01.7735626Z 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 2025-12-04T09:14:01.7738663Z 2025-12-04T09:14:01.7738824Z Finished test_autocast 1/1 ... [2025-12-04 09:14:01.772366][1177.472169842], took 0.18min 2025-12-04T09:14:01.7739397Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_autocast/test_autocast-6e7aa661e2d72e68.xml 2025-12-04T09:14:01.8406149Z Running test_autograd_fallback 1/1 ... [2025-12-04 09:14:01.839881][1177.539682407] 2025-12-04T09:14:01.8406688Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:14:01.8407572Z Executing ['/opt/conda/envs/py_3.11/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 09:14:01.840181] 2025-12-04T09:14:10.2316628Z 2025-12-04T09:14:10.2317849Z test_autograd_fallback 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autograd_fallback_1.1_f3cba399ec27b27a_.log 2025-12-04T09:14:10.2329326Z 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 2025-12-04T09:14:10.2340035Z 2025-12-04T09:14:10.2340450Z Finished test_autograd_fallback 1/1 ... [2025-12-04 09:14:10.230806][1185.930608154], took 0.14min 2025-12-04T09:14:10.2341901Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_autograd_fallback/test_autograd_fallback-79c365e2f74b5fc8.xml 2025-12-04T09:14:10.3238767Z Running test_autoload_disable 1/1 ... [2025-12-04 09:14:10.322806][1186.022607179] 2025-12-04T09:14:10.7915228Z Processing /var/lib/jenkins/workspace/test/cpp_extensions 2025-12-04T09:14:13.0951193Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:14:13.0972493Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension 2025-12-04T09:15:36.5042394Z Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ done 2025-12-04T09:15:36.5140644Z [?25h Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp311-cp311-linux_x86_64.whl size=10109153 sha256=446f329dbebbff0d3f0bc0c8c5477a670994c250066e4da071c75c181788a120 2025-12-04T09:15:36.5141614Z Stored in directory: /tmp/pip-ephem-wheel-cache-2wbs2mg2/wheels/1b/fe/62/57ab84fd174e646bfb98efe687f7eb9b853e8cce5dec8d7f3d 2025-12-04T09:15:36.5162513Z Successfully built torch_test_cpp_extension 2025-12-04T09:15:36.7125725Z Installing collected packages: torch_test_cpp_extension 2025-12-04T09:15:36.8585895Z Successfully installed torch_test_cpp_extension-0.0.0 2025-12-04T09:15:38.6526553Z 2025-12-04T09:15:38.6527093Z Running tests... 2025-12-04T09:15:38.6527432Z ---------------------------------------------------------------------- 2025-12-04T09:15:38.9139765Z . 2025-12-04T09:15:38.9140247Z ---------------------------------------------------------------------- 2025-12-04T09:15:38.9140546Z Ran 1 test in 0.261s 2025-12-04T09:15:38.9140697Z 2025-12-04T09:15:38.9140775Z OK 2025-12-04T09:15:38.9140897Z 2025-12-04T09:15:38.9141017Z Generating XML reports... 2025-12-04T09:15:39.4771874Z Finished test_autoload_disable 1/1 ... [2025-12-04 09:15:39.476486][1275.17628022], took 1.49min 2025-12-04T09:15:39.4777002Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-unittest/test_autoload/TEST-TestDeviceBackendAutoload-20251204091538.xml 2025-12-04T09:15:39.5732992Z Running test_ci_sanity_check_fail 1/1 ... [2025-12-04 09:15:39.572538][1275.272338914] 2025-12-04T09:15:39.5733485Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:39.5735525Z Executing ['/opt/conda/envs/py_3.11/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 09:15:39.572845] 2025-12-04T09:15:50.9705694Z Finished test_ci_sanity_check_fail 1/1 ... [2025-12-04 09:15:50.970099][1286.669898992], took 0.19min 2025-12-04T09:15:50.9715170Z Running test_cpp_api_parity 1/1 ... [2025-12-04 09:15:50.971222][1286.671027368] 2025-12-04T09:15:50.9715629Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:50.9718382Z Executing ['/opt/conda/envs/py_3.11/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 09:15:50.971481] 2025-12-04T09:19:52.3754700Z 2025-12-04T09:19:52.3755599Z 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_ef8acb9504566a48_.log 2025-12-04T09:19:52.3850048Z Running 488 items in this shard: test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_mean, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_mean_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_none, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_none_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_sum, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_sum_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_mean, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_mean_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_none, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_none_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_sum, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_sum_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_circular_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_circular_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_dilated, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_dilated_cuda, 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test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_SmoothL1Loss_zero_beta, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_SmoothL1Loss_zero_beta_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_SoftMarginLoss_no_reduce, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_SoftMarginLoss_no_reduce_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_2d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_2d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_scale_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_scale_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_scale_tuple_shared_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_scale_tuple_shared_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_scale_tuple_skewed_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_scale_tuple_skewed_2d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_scale_tuple_skewed_2d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_scale_tuple_skewed_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_tuple_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_tuple_2d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_tuple_2d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_tuple_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_2d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_2d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_tuple_shared_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_tuple_shared_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_tuple_skewed_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_tuple_skewed_2d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_tuple_skewed_2d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_tuple_skewed_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_tuple_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_tuple_2d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_tuple_2d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_tuple_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_1d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_1d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_1d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_1d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_scale_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_scale_1d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_scale_1d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_scale_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_tuple_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_tuple_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_1d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_1d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d_launch_configs, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d_launch_configs_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_3d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_3d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_3d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_3d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_scale_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_scale_3d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_scale_3d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_scale_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_tuple_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_tuple_3d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_tuple_3d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_tuple_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_dim0, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_dim0_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_dim3, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_dim3_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_lastdim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_lastdim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_scalar, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_scalar_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_spatial, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_spatial_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_spatial_special, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_spatial_special_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_multimarginloss_1d_input_0d_target_no_reduce, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_multimarginloss_1d_input_0d_target_no_reduce_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_sample_functional_has_parity, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_sample_functional_has_parity_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_sample_functional_no_parity, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_sample_functional_no_parity_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_dim0, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_dim0_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_dim3, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_dim3_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_scalar, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_scalar_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_lastdim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_lastdim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_lastdim_dtype, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_lastdim_dtype_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_dtype, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_dtype_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_special, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_special_cuda 2025-12-04T09:19:52.3941672Z 2025-12-04T09:19:52.3941953Z Finished test_cpp_api_parity 1/1 ... [2025-12-04 09:19:52.375868][1528.075668312], took 4.02min 2025-12-04T09:19:52.3942729Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_api_parity/test_cpp_api_parity-61c8a76edc5dab6c.xml 2025-12-04T09:19:52.4756494Z Running test_cuda_primary_ctx 1/1 ... [2025-12-04 09:19:52.474960][1528.174761126] 2025-12-04T09:19:52.4756841Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:19:52.4757451Z Executing ['/opt/conda/envs/py_3.11/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 09:19:52.475262] 2025-12-04T09:19:54.6888941Z 2025-12-04T09:19:54.6889709Z 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_37f515ccd03d193a_.log 2025-12-04T09:19:54.6890248Z Running 0 items in this shard: 2025-12-04T09:19:54.6890394Z 2025-12-04T09:19:54.6890588Z Finished test_cuda_primary_ctx 1/1 ... [2025-12-04 09:19:54.688116][1530.387920471], took 0.04min 2025-12-04T09:19:54.6897182Z Running test_jit_disabled 1/1 ... [2025-12-04 09:19:54.689228][1530.389035594] 2025-12-04T09:19:54.6897866Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:19:54.6898480Z Executing ['/opt/conda/envs/py_3.11/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 09:19:54.689439] 2025-12-04T09:19:57.5125968Z 2025-12-04T09:19:57.5126979Z test_jit_disabled 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_disabled_1.1_7e90abc93a0dd5da_.log 2025-12-04T09:19:57.5128297Z 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 2025-12-04T09:19:57.5129332Z 2025-12-04T09:19:57.5129602Z Finished test_jit_disabled 1/1 ... [2025-12-04 09:19:57.511720][1533.211524316], took 0.05min 2025-12-04T09:19:57.5130520Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_jit_disabled/test_jit_disabled-934a110a54928a35.xml 2025-12-04T09:19:57.6838037Z Running test_mobile_optimizer 1/1 ... [2025-12-04 09:19:57.682971][1533.382771941] 2025-12-04T09:19:57.6838384Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:19:57.6838984Z Executing ['/opt/conda/envs/py_3.11/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 09:19:57.683194] 2025-12-04T09:20:09.8303968Z 2025-12-04T09:20:09.8304687Z test_mobile_optimizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mobile_optimizer_1.1_f0c779070a037457_.log 2025-12-04T09:20:09.8306257Z 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 2025-12-04T09:20:09.8307467Z 2025-12-04T09:20:09.8307633Z Finished test_mobile_optimizer 1/1 ... [2025-12-04 09:20:09.829517][1545.529319682], took 0.20min 2025-12-04T09:20:09.8310238Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_mobile_optimizer/test_mobile_optimizer-6df7e5ded5093331.xml 2025-12-04T09:20:09.9111189Z Running test_multiprocessing 1/1 ... [2025-12-04 09:20:09.910182][1545.609983795] 2025-12-04T09:20:09.9111560Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:20:09.9112197Z Executing ['/opt/conda/envs/py_3.11/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 09:20:09.910452] 2025-12-04T09:21:22.7388797Z 2025-12-04T09:21:22.7394982Z test_multiprocessing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_1.1_fe9843da3732fcdd_.log 2025-12-04T09:21:22.7402666Z 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 2025-12-04T09:21:22.7409493Z 2025-12-04T09:21:22.7409704Z Finished test_multiprocessing 1/1 ... [2025-12-04 09:21:22.738425][1618.438227779], took 1.21min 2025-12-04T09:21:22.7410387Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_multiprocessing/test_multiprocessing-9279013d8e80d368.xml 2025-12-04T09:21:22.8145992Z Running test_multiprocessing_spawn 1/1 ... [2025-12-04 09:21:22.813702][1618.513505018] 2025-12-04T09:21:22.8146349Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:21:22.8147095Z Executing ['/opt/conda/envs/py_3.11/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 09:21:22.813930] 2025-12-04T09:23:36.4867644Z 2025-12-04T09:23:36.4868627Z test_multiprocessing_spawn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_spawn_1.1_f78e85cb4a31b1c5_.log 2025-12-04T09:23:36.4879318Z 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 2025-12-04T09:23:36.4890048Z 2025-12-04T09:23:36.4890353Z Finished test_multiprocessing_spawn 1/1 ... [2025-12-04 09:23:36.485840][1752.185639978], took 2.23min 2025-12-04T09:23:36.4891397Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_multiprocessing_spawn/test_multiprocessing_spawn-b20b0fbdc7308990.xml 2025-12-04T09:23:36.5677013Z Running test_nn 1/3 ... [2025-12-04 09:23:36.566957][1752.266759796] 2025-12-04T09:23:36.5677375Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:23:36.5678006Z Executing ['/opt/conda/envs/py_3.11/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 09:23:36.567181] 2025-12-04T09:30:18.4835138Z 2025-12-04T09:30:18.4836236Z test_nn 1/3 was successful, full logs can be found in artifacts with path test/test-reports/test_nn_1.3_3c3d271f28a375eb_.log 2025-12-04T09:30:18.5051745Z 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 2025-12-04T09:30:18.5246144Z 2025-12-04T09:30:18.5246335Z Finished test_nn 1/3 ... [2025-12-04 09:30:18.484143][2154.183942845], took 6.70min 2025-12-04T09:30:18.5246867Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_nn/test_nn-ea2f2a2e9f30bc51.xml 2025-12-04T09:30:18.8343976Z Uploading artifacts took 0.26 seconds 2025-12-04T09:30:18.8344347Z Running test_nn 3/3 ... [2025-12-04 09:30:18.834067][2154.533868302] 2025-12-04T09:30:18.8344645Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:30:18.8346729Z Executing ['/opt/conda/envs/py_3.11/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 09:30:18.834436] 2025-12-04T09:36:48.4954705Z 2025-12-04T09:36:48.4955479Z test_nn 3/3 was successful, full logs can be found in artifacts with path test/test-reports/test_nn_3.3_ff36172f7fa1c9a7_.log 2025-12-04T09:36:48.5143787Z 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 2025-12-04T09:36:48.5328151Z 2025-12-04T09:36:48.5328325Z Finished test_nn 3/3 ... [2025-12-04 09:36:48.495919][2544.195716384], took 6.49min 2025-12-04T09:36:48.5328810Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_nn/test_nn-3aff4569a1bdaeab.xml 2025-12-04T09:36:48.5936087Z Running test_overrides 1/1 ... [2025-12-04 09:36:48.592923][2544.291850478] 2025-12-04T09:36:48.5936514Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:36:48.5937090Z Executing ['/opt/conda/envs/py_3.11/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 09:36:48.593220] 2025-12-04T09:38:35.0783999Z 2025-12-04T09:38:35.0785107Z PRINTING LOG FILE of test_overrides 1/1 (test/test-reports/test_overrides_1.1_7262e10478ef1a36_.log) 2025-12-04T09:38:35.0786003Z Test results will be stored in test-reports/python-pytest/test_overrides/test_overrides-3dca016ae6079711.xml 2025-12-04T09:38:35.0786636Z ============================= test session starts ============================== 2025-12-04T09:38:35.0787230Z platform linux -- Python 3.11.9, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.11/bin/python 2025-12-04T09:38:35.0787746Z cachedir: .pytest_cache 2025-12-04T09:38:35.0788354Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T09:38:35.0788980Z rootdir: /var/lib/jenkins/workspace 2025-12-04T09:38:35.0789286Z configfile: pytest.ini 2025-12-04T09:38:35.0789879Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T09:38:35.0790508Z collecting ... collected 1477 items 2025-12-04T09:38:35.0790850Z stepcurrent: Cannot find last run test, not skipping 2025-12-04T09:38:35.1050117Z 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__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_maia___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_meta___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_mkldnn___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_mps___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_mtia___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_nested___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_quantized___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_sparse___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_sparse_csr___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_vulkan___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_xla___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_xpu___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_itemsize___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_layout___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_mH___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_mT___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_name___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_names___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_nbytes___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_ndim___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_output_nr___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_real___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_requires_grad___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_retains_grad___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_shape___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_volatile___get__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___add__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___and__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___array__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___array_wrap__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___bool__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___complex__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___contains__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___cuda_array_interface_____get__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___deepcopy__, 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test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cholesky, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cholesky_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cholesky_solve, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_chunk, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_clamp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_clamp_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_clamp_max, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_clamp_max_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_clamp_min, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_clamp_min_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_clip, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_clip_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_clone, 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test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cosh_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_count_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cov, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cpu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cross, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_crow_indices, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cuda, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cummax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cummin, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cumprod, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cumprod_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cumsum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cumsum_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_data_ptr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_deg2rad, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_deg2rad_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_dense_dim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_dequantize, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_det, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_detach, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_detach_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_diag, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_diag_embed, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_diagflat, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_diagonal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_diagonal_scatter, 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test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_expand_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_expm1, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_expm1_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_exponential_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fill_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fill_diagonal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fix, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fix_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_flatten, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_flip, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fliplr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_flipud, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_float, 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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, 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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_, 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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, 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test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_add, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_add_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_reduce_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_select, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_select_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_set_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sgn, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sgn_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_share_memory_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_short, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sigmoid, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sigmoid_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sign, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sign_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_signbit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sin, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sin_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinc, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinc_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinh, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinh_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_slice_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_slice_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_slogdet, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_smm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sort, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_dim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_mask, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_resize_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_resize_and_clear_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_split, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_split_with_sizes, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sqrt, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sqrt_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_square, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_square_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_squeeze, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_squeeze_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sspaddmm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_std, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_stft, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_storage, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_storage_offset, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_storage_type, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sub, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sub_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_subtract, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_subtract_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sum_to_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_svd, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapaxes, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapaxes_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapdims, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapdims_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_t, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_t_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_take, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_take_along_dim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tan, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tan_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tanh, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tanh_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tensor_split, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tile, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to_dense, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to_mkldnn, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to_sparse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tolist, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_topk, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_trace, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_transpose, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_transpose_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_triangular_solve, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tril, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tril_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_triu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_triu_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_true_divide, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_true_divide_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_trunc, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_trunc_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_type, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_type_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unbind, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unfold, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_uniform_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unique, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unique_consecutive, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsafe_chunk, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsafe_split, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsafe_split_with_sizes, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsqueeze, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsqueeze_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_untyped_storage, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_values, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_var, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_vdot, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_view, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_view_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_vsplit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_where, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_xlogy, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_xlogy_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_xpu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_zero_, test/test_overrides.py::TestTorchFunctionOverride::test_base, test/test_overrides.py::TestTorchFunctionOverride::test_dtype_override, test/test_overrides.py::TestTorchFunctionOverride::test_grad, test/test_overrides.py::TestTorchFunctionOverride::test_has_torch_function_non_sequence, test/test_overrides.py::TestTorchFunctionOverride::test_mean_semantics, test/test_overrides.py::TestTorchFunctionOverride::test_mm_semantics, test/test_overrides.py::TestTorchFunctionOverride::test_pow_rpow, test/test_overrides.py::TestTorchFunctionOverride::test_precedence_semantics, test/test_overrides.py::TestTorchFunctionOverride::test_tensor_subclass_propagation, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_fft, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_fft2, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_fftn, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_fftshift, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_hfft, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_hfft2, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_hfftn, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ifft, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ifft2, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ifftn, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ifftshift, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ihfft, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ihfft2, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ihfftn, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_irfft, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_irfft2, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_irfftn, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_rfft, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_rfft2, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_rfftn, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_cholesky, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_cholesky_ex, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_cond, 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test/test_overrides.py::TestTorchFunctionOverride::test_torch__wrapped_linear_prepack, test/test_overrides.py::TestTorchFunctionOverride::test_torch__wrapped_quantized_linear_prepacked, test/test_overrides.py::TestTorchFunctionOverride::test_torch_abs, test/test_overrides.py::TestTorchFunctionOverride::test_torch_absolute, test/test_overrides.py::TestTorchFunctionOverride::test_torch_acos, test/test_overrides.py::TestTorchFunctionOverride::test_torch_acosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_adaptive_avg_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_adaptive_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_add, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addbmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addcdiv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addcmul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addmv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_adjoint, test/test_overrides.py::TestTorchFunctionOverride::test_torch_affine_grid_generator, test/test_overrides.py::TestTorchFunctionOverride::test_torch_alias_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_all, test/test_overrides.py::TestTorchFunctionOverride::test_torch_allclose, test/test_overrides.py::TestTorchFunctionOverride::test_torch_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_amax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_amin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_aminmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_angle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_any, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arccos, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arccosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arcsin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arcsinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arctan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arctan2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arctanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argmin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argsort, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argwhere, test/test_overrides.py::TestTorchFunctionOverride::test_torch_as_strided_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_as_strided_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_asin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_asinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_atan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_atan2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_atanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_avg_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_baddbmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_backward_elemt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_backward_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_elemt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_gather_stats, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_gather_stats_with_counts, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_stats, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_update_stats, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bernoulli, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bilinear, test/test_overrides.py::TestTorchFunctionOverride::test_torch_binary_cross_entropy_with_logits, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bincount, test/test_overrides.py::TestTorchFunctionOverride::test_torch_binomial, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_and, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_left_shift, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_not, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_or, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_right_shift, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_xor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_broadcast_to, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bucketize, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cat, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ccol_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ceil, test/test_overrides.py::TestTorchFunctionOverride::test_torch_celu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_channel_shuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cholesky, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cholesky_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cholesky_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch_choose_qparams_optimized, test/test_overrides.py::TestTorchFunctionOverride::test_torch_chunk, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clamp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clamp_max, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clamp_min, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clip, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clone, test/test_overrides.py::TestTorchFunctionOverride::test_torch_col_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_column_stack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_combinations, test/test_overrides.py::TestTorchFunctionOverride::test_torch_complex, test/test_overrides.py::TestTorchFunctionOverride::test_torch_concat, test/test_overrides.py::TestTorchFunctionOverride::test_torch_concatenate, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conj, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conj_physical, test/test_overrides.py::TestTorchFunctionOverride::test_torch_constant_pad_nd, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_tbc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_transpose1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_transpose2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_transpose3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_convolution, test/test_overrides.py::TestTorchFunctionOverride::test_torch_copysign, test/test_overrides.py::TestTorchFunctionOverride::test_torch_corrcoef, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cos, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cosine_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cosine_similarity, test/test_overrides.py::TestTorchFunctionOverride::test_torch_count_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cov, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cross, test/test_overrides.py::TestTorchFunctionOverride::test_torch_crow_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ctc_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cummax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cummin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cumprod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cumsum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cumulative_trapezoid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_deg2rad, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dequantize, test/test_overrides.py::TestTorchFunctionOverride::test_torch_det, test/test_overrides.py::TestTorchFunctionOverride::test_torch_detach, test/test_overrides.py::TestTorchFunctionOverride::test_torch_detach_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diag_embed, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagflat, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagonal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagonal_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagonal_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diff, test/test_overrides.py::TestTorchFunctionOverride::test_torch_digamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dist, test/test_overrides.py::TestTorchFunctionOverride::test_torch_div, test/test_overrides.py::TestTorchFunctionOverride::test_torch_divide, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dot, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dsmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dsplit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dstack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_embedding, test/test_overrides.py::TestTorchFunctionOverride::test_torch_embedding_bag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_empty_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_eq, test/test_overrides.py::TestTorchFunctionOverride::test_torch_equal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_erf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_erfc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_erfinv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_exp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_exp2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_expand_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_expm1, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fake_quantize_per_channel_affine, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fake_quantize_per_tensor_affine, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_fp16_weight, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_fp16_weight_fp32_activation, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_int8_weight, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_int8_weight_fp32_activation, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_quantize_weight, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_pack_gemm_matrix_fp16, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_pack_quantized_matrix, test/test_overrides.py::TestTorchFunctionOverride::test_torch_feature_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_feature_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fix, test/test_overrides.py::TestTorchFunctionOverride::test_torch_flatten, test/test_overrides.py::TestTorchFunctionOverride::test_torch_flip, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fliplr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_flipud, test/test_overrides.py::TestTorchFunctionOverride::test_torch_float_power, test/test_overrides.py::TestTorchFunctionOverride::test_torch_floor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_floor_divide, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fmin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fmod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_frac, test/test_overrides.py::TestTorchFunctionOverride::test_torch_frexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_frobenius_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_full_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_function_empty_lists, test/test_overrides.py::TestTorchFunctionOverride::test_torch_function_in_float_lists, test/test_overrides.py::TestTorchFunctionOverride::test_torch_function_in_lists, test/test_overrides.py::TestTorchFunctionOverride::test_torch_function_in_scalar_lists, test/test_overrides.py::TestTorchFunctionOverride::test_torch_function_mixed_lists, test/test_overrides.py::TestTorchFunctionOverride::test_torch_function_nested_tuple_getitem, test/test_overrides.py::TestTorchFunctionOverride::test_torch_function_not_first_in_list, test/test_overrides.py::TestTorchFunctionOverride::test_torch_function_precedence_in_lists, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_atleast_1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_atleast_2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_atleast_3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_block_diag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_broadcast_tensors, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_cartesian_prod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_cdist, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_chain_matmul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_einsum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_lu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_meshgrid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_split, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_stft, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_tensordot, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_unique, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_unique_consecutive, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_unravel_index, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fused_moving_avg_obs_fake_quant, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gather, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gcd, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ge, test/test_overrides.py::TestTorchFunctionOverride::test_torch_geqrf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ger, test/test_overrides.py::TestTorchFunctionOverride::test_torch_get_device, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gradient, test/test_overrides.py::TestTorchFunctionOverride::test_torch_greater, test/test_overrides.py::TestTorchFunctionOverride::test_torch_greater_equal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_grid_sampler, test/test_overrides.py::TestTorchFunctionOverride::test_torch_grid_sampler_2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_grid_sampler_3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_group_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gru, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gru_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hardshrink, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hash_tensor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_heaviside, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hinge_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_histc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_histogram, test/test_overrides.py::TestTorchFunctionOverride::test_torch_histogramdd, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hsmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hsplit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hstack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hypot, test/test_overrides.py::TestTorchFunctionOverride::test_torch_i0, test/test_overrides.py::TestTorchFunctionOverride::test_torch_igamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_igammac, test/test_overrides.py::TestTorchFunctionOverride::test_torch_imag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_add, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_fill, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_put, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_select, test/test_overrides.py::TestTorchFunctionOverride::test_torch_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_inner, test/test_overrides.py::TestTorchFunctionOverride::test_torch_instance_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_int_repr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_complex, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_conj, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_distributed, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_floating_point, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_inference, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_neg, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_same_size, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_signed, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isclose, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isfinite, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isinf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isnan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isneginf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isposinf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isreal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_istft, test/test_overrides.py::TestTorchFunctionOverride::test_torch_kl_div, test/test_overrides.py::TestTorchFunctionOverride::test_torch_kron, test/test_overrides.py::TestTorchFunctionOverride::test_torch_kthvalue, test/test_overrides.py::TestTorchFunctionOverride::test_torch_layer_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lcm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ldexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_le, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lerp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_less, test/test_overrides.py::TestTorchFunctionOverride::test_torch_less_equal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lgamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log10, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log1p, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logaddexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logaddexp2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logcumsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logdet, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logical_and, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logical_not, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logical_or, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logical_xor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lstm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lstm_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lu_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lu_unpack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_margin_ranking_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_masked_fill, test/test_overrides.py::TestTorchFunctionOverride::test_torch_masked_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_masked_select, test/test_overrides.py::TestTorchFunctionOverride::test_torch_matmul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_matrix_exp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_matrix_power, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max_pool1d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_maximum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mean, test/test_overrides.py::TestTorchFunctionOverride::test_torch_median, test/test_overrides.py::TestTorchFunctionOverride::test_torch_min, test/test_overrides.py::TestTorchFunctionOverride::test_torch_minimum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_convolution, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_convolution_add_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_convolution_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_convolution_transpose, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_depthwise_convolution, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_rnn, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mode, test/test_overrides.py::TestTorchFunctionOverride::test_torch_moveaxis, test/test_overrides.py::TestTorchFunctionOverride::test_torch_movedim, test/test_overrides.py::TestTorchFunctionOverride::test_torch_msort, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_multinomial, test/test_overrides.py::TestTorchFunctionOverride::test_torch_multiply, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mvlgamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nan_to_num, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nanmean, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nanmedian, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nanquantile, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nansum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_narrow, test/test_overrides.py::TestTorchFunctionOverride::test_torch_narrow_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_channel_shuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_group_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_layer_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ne, test/test_overrides.py::TestTorchFunctionOverride::test_torch_neg, test/test_overrides.py::TestTorchFunctionOverride::test_torch_negative, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nextafter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional__threshold, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_avg_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_avg_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool1d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool2d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool3d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_affine_grid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_binary_cross_entropy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_binary_cross_entropy_with_logits, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_celu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_cosine_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_cross_entropy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_ctc_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_elu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_embedding, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_embedding_bag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_feature_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fold, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool2d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool3d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_gaussian_nll_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_glu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_grid_sample, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_group_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_gumbel_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_hardtanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_hinge_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_huber_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_instance_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_interpolate, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_kl_div, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_l1_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_layer_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_leaky_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_local_response_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_log_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_lp_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_lp_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_lp_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_margin_ranking_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool1d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool2d_with_indices, 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test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_xla___get__ PASSED [0.0924s] [ 2%] 2025-12-04T09:38:35.1299433Z test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_xpu___get__ PASSED [0.0961s] [ 2%] 2025-12-04T09:38:35.1299885Z test_overrides.py::TestTorchFunctionOverride::test_TensorBase_itemsize___get__ PASSED [0.0937s] [ 2%] 2025-12-04T09:38:35.1300562Z test_overrides.py::TestTorchFunctionOverride::test_TensorBase_layout___get__ PASSED [0.0924s] [ 2%] 2025-12-04T09:38:35.1301172Z test_overrides.py::TestTorchFunctionOverride::test_TensorBase_mH___get__ PASSED [0.0924s] [ 2%] 2025-12-04T09:38:35.1301750Z test_overrides.py::TestTorchFunctionOverride::test_TensorBase_mT___get__ PASSED [0.0917s] [ 2%] 2025-12-04T09:38:35.1302419Z test_overrides.py::TestTorchFunctionOverride::test_TensorBase_name___get__ PASSED [0.0924s] [ 2%] 2025-12-04T09:38:35.1303028Z test_overrides.py::TestTorchFunctionOverride::test_TensorBase_names___get__ PASSED [0.0927s] [ 2%] 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test_overrides.py::TestTorchFunctionOverride::test_Tensor___cuda_array_interface_____get__ SKIPPED [0.0469s] (AttributeError: 'property' object has no attribute '__objclass__' 2025-12-04T09:38:35.1311872Z 2025-12-04T09:38:35.1311945Z from user code: 2025-12-04T09:38:35.1312223Z File "/var/lib/jenkins/workspace/test/test_overrides.py", line 992, in test 2025-12-04T09:38:35.1312527Z ret = func(*func_args, **kwargs) 2025-12-04T09:38:35.1312658Z 2025-12-04T09:38:35.1313007Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-12-04T09:38:35.1313381Z 2025-12-04T09:38:35.1313384Z 2025-12-04T09:38:35.1313513Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:35.1313963Z PYTORCH_TEST_WITH_DYNAMO=1 python test/test_overrides.py TestTorchFunctionOverride.test_Tensor___cuda_array_interface_____get__ 2025-12-04T09:38:35.1314287Z 2025-12-04T09:38:35.1314448Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0) [ 3%] 2025-12-04T09:38:35.1314864Z test_overrides.py::TestTorchFunctionOverride::test_Tensor___deepcopy__ PASSED [0.0953s] [ 3%] 2025-12-04T09:38:35.1315279Z test_overrides.py::TestTorchFunctionOverride::test_Tensor___div__ PASSED [0.0959s] [ 3%] 2025-12-04T09:38:35.1315696Z test_overrides.py::TestTorchFunctionOverride::test_Tensor___dlpack__ PASSED [0.0962s] [ 3%] 2025-12-04T09:38:35.1316137Z test_overrides.py::TestTorchFunctionOverride::test_Tensor___dlpack_device__ PASSED [0.0925s] [ 3%] 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test_overrides.py::TestTorchFunctionOverride::test_Tensor___iand__ PASSED [0.0964s] [ 4%] 2025-12-04T09:38:35.1320282Z test_overrides.py::TestTorchFunctionOverride::test_Tensor___idiv__ PASSED [0.0967s] [ 4%] 2025-12-04T09:38:35.1320704Z test_overrides.py::TestTorchFunctionOverride::test_Tensor___ifloordiv__ PASSED [0.0962s] [ 4%] 2025-12-04T09:38:35.1321128Z test_overrides.py::TestTorchFunctionOverride::test_Tensor___ilshift__ PASSED [0.0949s] [ 4%] 2025-12-04T09:38:35.1321533Z test_overrides.py::TestTorchFunctionOverride::test_Tensor___imod__ PASSED [0.0976s] [ 4%] 2025-12-04T09:38:35.1321946Z test_overrides.py::TestTorchFunctionOverride::test_Tensor___imul__ PASSED [0.0976s] [ 4%] 2025-12-04T09:38:35.1322363Z test_overrides.py::TestTorchFunctionOverride::test_Tensor___index__ PASSED [0.0929s] [ 4%] 2025-12-04T09:38:35.1322779Z test_overrides.py::TestTorchFunctionOverride::test_Tensor___int__ PASSED [0.0918s] [ 5%] 2025-12-04T09:38:35.1323180Z test_overrides.py::TestTorchFunctionOverride::test_Tensor___invert__ PASSED [0.0924s] [ 5%] 2025-12-04T09:38:35.1323597Z test_overrides.py::TestTorchFunctionOverride::test_Tensor___ior__ PASSED [0.0938s] [ 5%] 2025-12-04T09:38:35.1324006Z test_overrides.py::TestTorchFunctionOverride::test_Tensor___irshift__ PASSED [0.0911s] [ 5%] 2025-12-04T09:38:35.1324404Z test_overrides.py::TestTorchFunctionOverride::test_Tensor___isub__ PASSED [0.0961s] [ 5%] 2025-12-04T09:38:35.1324826Z test_overrides.py::TestTorchFunctionOverride::test_Tensor___ixor__ PASSED [0.0957s] [ 5%] 2025-12-04T09:38:35.1325272Z test_overrides.py::TestTorchFunctionOverride::test_Tensor___le__ PASSED [0.0961s] [ 5%] 2025-12-04T09:38:35.1325722Z test_overrides.py::TestTorchFunctionOverride::test_Tensor___len__ PASSED [0.0953s] [ 5%] 2025-12-04T09:38:35.1326116Z test_overrides.py::TestTorchFunctionOverride::test_Tensor___long__ PASSED [0.0955s] [ 5%] 2025-12-04T09:38:35.1326538Z test_overrides.py::TestTorchFunctionOverride::test_Tensor___lshift__ PASSED [0.0949s] [ 5%] 2025-12-04T09:38:35.1326956Z test_overrides.py::TestTorchFunctionOverride::test_Tensor___lt__ PASSED [0.2422s] [ 5%] 2025-12-04T09:38:35.1327372Z test_overrides.py::TestTorchFunctionOverride::test_Tensor___matmul__ PASSED [0.0983s] [ 5%] 2025-12-04T09:38:35.1327764Z test_overrides.py::TestTorchFunctionOverride::test_Tensor___mod__ PASSED [0.0964s] [ 5%] 2025-12-04T09:38:35.1328173Z test_overrides.py::TestTorchFunctionOverride::test_Tensor___mul__ PASSED [0.0968s] [ 5%] 2025-12-04T09:38:35.1328578Z test_overrides.py::TestTorchFunctionOverride::test_Tensor___ne__ PASSED [0.0970s] [ 5%] 2025-12-04T09:38:35.1328979Z test_overrides.py::TestTorchFunctionOverride::test_Tensor___nonzero__ PASSED [0.0941s] [ 6%] 2025-12-04T09:38:35.1329398Z test_overrides.py::TestTorchFunctionOverride::test_Tensor___or__ PASSED [0.0949s] [ 6%] 2025-12-04T09:38:35.1329802Z test_overrides.py::TestTorchFunctionOverride::test_Tensor___radd__ PASSED [0.0957s] [ 6%] 2025-12-04T09:38:35.1330213Z test_overrides.py::TestTorchFunctionOverride::test_Tensor___rand__ PASSED [0.0952s] [ 6%] 2025-12-04T09:38:35.1330594Z test_overrides.py::TestTorchFunctionOverride::test_Tensor___rdiv__ PASSED [0.0961s] [ 6%] 2025-12-04T09:38:35.1330989Z test_overrides.py::TestTorchFunctionOverride::test_Tensor___reduce_ex__ PASSED [0.0961s] [ 6%] 2025-12-04T09:38:35.1331384Z test_overrides.py::TestTorchFunctionOverride::test_Tensor___repr__ PASSED [0.0991s] [ 6%] 2025-12-04T09:38:35.1331798Z test_overrides.py::TestTorchFunctionOverride::test_Tensor___reversed__ PASSED [0.0988s] [ 6%] 2025-12-04T09:38:35.1332203Z test_overrides.py::TestTorchFunctionOverride::test_Tensor___rfloordiv__ PASSED [0.0971s] [ 6%] 2025-12-04T09:38:35.1332633Z test_overrides.py::TestTorchFunctionOverride::test_Tensor___rlshift__ PASSED [0.0949s] [ 6%] 2025-12-04T09:38:35.1333059Z test_overrides.py::TestTorchFunctionOverride::test_Tensor___rmatmul__ PASSED [0.0965s] [ 6%] 2025-12-04T09:38:35.1333468Z test_overrides.py::TestTorchFunctionOverride::test_Tensor___rmod__ PASSED [0.0935s] [ 6%] 2025-12-04T09:38:35.1333854Z test_overrides.py::TestTorchFunctionOverride::test_Tensor___rmul__ PASSED [0.0953s] [ 6%] 2025-12-04T09:38:35.1334260Z test_overrides.py::TestTorchFunctionOverride::test_Tensor___ror__ PASSED [0.0937s] [ 6%] 2025-12-04T09:38:35.1334664Z test_overrides.py::TestTorchFunctionOverride::test_Tensor___rpow__ PASSED [0.0957s] [ 6%] 2025-12-04T09:38:35.1335065Z test_overrides.py::TestTorchFunctionOverride::test_Tensor___rrshift__ PASSED [0.2405s] [ 7%] 2025-12-04T09:38:35.1335462Z test_overrides.py::TestTorchFunctionOverride::test_Tensor___rshift__ PASSED [0.0937s] [ 7%] 2025-12-04T09:38:35.1335852Z test_overrides.py::TestTorchFunctionOverride::test_Tensor___rsub__ PASSED [0.0980s] [ 7%] 2025-12-04T09:38:35.1336241Z test_overrides.py::TestTorchFunctionOverride::test_Tensor___rxor__ PASSED [0.0953s] [ 7%] 2025-12-04T09:38:35.1336623Z test_overrides.py::TestTorchFunctionOverride::test_Tensor___setitem__ PASSED [0.0924s] [ 7%] 2025-12-04T09:38:35.1337026Z test_overrides.py::TestTorchFunctionOverride::test_Tensor___setstate__ PASSED [0.0953s] [ 7%] 2025-12-04T09:38:35.1337422Z test_overrides.py::TestTorchFunctionOverride::test_Tensor___sub__ PASSED [0.0976s] [ 7%] 2025-12-04T09:38:35.1337808Z test_overrides.py::TestTorchFunctionOverride::test_Tensor___truediv__ PASSED [0.0969s] [ 7%] 2025-12-04T09:38:35.1338190Z test_overrides.py::TestTorchFunctionOverride::test_Tensor___xor__ PASSED [0.0950s] [ 7%] 2025-12-04T09:38:35.1338645Z test_overrides.py::TestTorchFunctionOverride::test_Tensor__autocast_to_full_precision PASSED [0.0896s] [ 7%] 2025-12-04T09:38:35.1339128Z test_overrides.py::TestTorchFunctionOverride::test_Tensor__autocast_to_reduced_precision PASSED [0.0897s] [ 7%] 2025-12-04T09:38:35.1339656Z test_overrides.py::TestTorchFunctionOverride::test_Tensor__clear_non_serializable_cached_data PASSED [0.0965s] [ 7%] 2025-12-04T09:38:35.1340363Z test_overrides.py::TestTorchFunctionOverride::test_Tensor__coalesced_ PASSED [0.0893s] [ 7%] 2025-12-04T09:38:35.1340869Z test_overrides.py::TestTorchFunctionOverride::test_Tensor__dimI PASSED [0.0886s] [ 7%] 2025-12-04T09:38:35.1341357Z test_overrides.py::TestTorchFunctionOverride::test_Tensor__dimV PASSED [0.0885s] [ 7%] 2025-12-04T09:38:35.1341751Z test_overrides.py::TestTorchFunctionOverride::test_Tensor__indices PASSED [0.0883s] [ 8%] 2025-12-04T09:38:35.1342206Z test_overrides.py::TestTorchFunctionOverride::test_Tensor__is_view PASSED [0.0959s] [ 8%] 2025-12-04T09:38:35.1342743Z test_overrides.py::TestTorchFunctionOverride::test_Tensor__nested_tensor_size PASSED [0.0891s] [ 8%] 2025-12-04T09:38:35.1343336Z test_overrides.py::TestTorchFunctionOverride::test_Tensor__nested_tensor_storage_offsets PASSED [0.0892s] [ 8%] 2025-12-04T09:38:35.1343929Z test_overrides.py::TestTorchFunctionOverride::test_Tensor__nested_tensor_strides PASSED [0.0862s] [ 8%] 2025-12-04T09:38:35.1344460Z test_overrides.py::TestTorchFunctionOverride::test_Tensor__nnz PASSED [0.0869s] [ 8%] 2025-12-04T09:38:35.1344992Z test_overrides.py::TestTorchFunctionOverride::test_Tensor__sparse_mask_projection PASSED [0.0933s] [ 8%] 2025-12-04T09:38:35.1345535Z test_overrides.py::TestTorchFunctionOverride::test_Tensor__to_dense PASSED [0.2401s] [ 8%] 2025-12-04T09:38:35.1345942Z test_overrides.py::TestTorchFunctionOverride::test_Tensor__update_names PASSED [0.0977s] [ 8%] 2025-12-04T09:38:35.1346338Z test_overrides.py::TestTorchFunctionOverride::test_Tensor__values PASSED [0.0887s] [ 8%] 2025-12-04T09:38:35.1346717Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_abs PASSED [0.0872s] [ 8%] 2025-12-04T09:38:35.1347100Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_abs_ PASSED [0.0894s] [ 8%] 2025-12-04T09:38:35.1347500Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_absolute PASSED [0.0901s] [ 8%] 2025-12-04T09:38:35.1347920Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_absolute_ PASSED [0.0917s] [ 8%] 2025-12-04T09:38:35.1348324Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_acos PASSED [0.0924s] [ 9%] 2025-12-04T09:38:35.1348692Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_acos_ PASSED [0.0926s] [ 9%] 2025-12-04T09:38:35.1349070Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_acosh PASSED [0.0931s] [ 9%] 2025-12-04T09:38:35.1349451Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_acosh_ PASSED [0.0906s] [ 9%] 2025-12-04T09:38:35.1349827Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_add PASSED [0.0961s] [ 9%] 2025-12-04T09:38:35.1350190Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_add_ PASSED [0.0951s] [ 9%] 2025-12-04T09:38:35.1350576Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_addbmm PASSED [0.0948s] [ 9%] 2025-12-04T09:38:35.1350988Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_addbmm_ PASSED [0.0949s] [ 9%] 2025-12-04T09:38:35.1351393Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_addcdiv PASSED [0.0929s] [ 9%] 2025-12-04T09:38:35.1351788Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_addcdiv_ PASSED [0.0948s] [ 9%] 2025-12-04T09:38:35.1352197Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_addcmul PASSED [0.0962s] [ 9%] 2025-12-04T09:38:35.1352606Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_addcmul_ PASSED [0.0972s] [ 9%] 2025-12-04T09:38:35.1352995Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_addmm PASSED [0.0967s] [ 9%] 2025-12-04T09:38:35.1353398Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_addmm_ PASSED [0.0964s] [ 9%] 2025-12-04T09:38:35.1353848Z 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test_overrides.py::TestTorchFunctionOverride::test_Tensor_select_scatter PASSED [0.0955s] [ 38%] 2025-12-04T09:38:35.1528220Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_set_ PASSED [0.0945s] [ 38%] 2025-12-04T09:38:35.1528611Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_sgn PASSED [0.0896s] [ 38%] 2025-12-04T09:38:35.1529006Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_sgn_ PASSED [0.0887s] [ 39%] 2025-12-04T09:38:35.1529398Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_share_memory_ PASSED [0.0940s] [ 39%] 2025-12-04T09:38:35.1529809Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_short PASSED [0.0950s] [ 39%] 2025-12-04T09:38:35.1530210Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_sigmoid PASSED [0.0891s] [ 39%] 2025-12-04T09:38:35.1530605Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_sigmoid_ PASSED [0.0880s] [ 39%] 2025-12-04T09:38:35.1530987Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_sign PASSED [0.0886s] [ 39%] 2025-12-04T09:38:35.1531370Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_sign_ PASSED [0.0909s] [ 39%] 2025-12-04T09:38:35.1531772Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_signbit PASSED [0.0897s] [ 39%] 2025-12-04T09:38:35.1532157Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_sin PASSED [0.0884s] [ 39%] 2025-12-04T09:38:35.1532521Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_sin_ PASSED [0.0884s] [ 39%] 2025-12-04T09:38:35.1532897Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinc PASSED [0.0879s] [ 39%] 2025-12-04T09:38:35.1533283Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinc_ PASSED [0.0887s] [ 39%] 2025-12-04T09:38:35.1533647Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinh PASSED [0.0892s] [ 39%] 2025-12-04T09:38:35.1534023Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinh_ PASSED [0.0888s] [ 39%] 2025-12-04T09:38:35.1534402Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_size PASSED [0.0943s] [ 40%] 2025-12-04T09:38:35.1534840Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_slice_inverse PASSED [0.0995s] [ 40%] 2025-12-04T09:38:35.1535251Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_slice_scatter PASSED [0.0948s] [ 40%] 2025-12-04T09:38:35.1535803Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_slogdet PASSED [0.0894s] [ 40%] 2025-12-04T09:38:35.1536197Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_smm PASSED [0.0954s] [ 40%] 2025-12-04T09:38:35.1536588Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_softmax PASSED [0.3066s] [ 40%] 2025-12-04T09:38:35.1536973Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_sort PASSED [0.0923s] [ 40%] 2025-12-04T09:38:35.1537362Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_dim PASSED [0.0875s] [ 40%] 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test_overrides.py::TestTorchFunctionOverride::test_Tensor_storage_type PASSED [0.0962s] [ 41%] 2025-12-04T09:38:35.1545078Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_sub PASSED [0.0992s] [ 41%] 2025-12-04T09:38:35.1545463Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_sub_ PASSED [0.0973s] [ 41%] 2025-12-04T09:38:35.1545863Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_subtract PASSED [0.0899s] [ 41%] 2025-12-04T09:38:35.1546265Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_subtract_ PASSED [0.0900s] [ 41%] 2025-12-04T09:38:35.1546665Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_sum PASSED [0.0899s] [ 41%] 2025-12-04T09:38:35.1547066Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_sum_to_size PASSED [0.0872s] [ 42%] 2025-12-04T09:38:35.1547467Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_svd PASSED [0.0912s] [ 42%] 2025-12-04T09:38:35.1547868Z 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test_overrides.py::TestTorchFunctionOverride::test_Tensor_tan PASSED [0.0889s] [ 42%] 2025-12-04T09:38:35.1551575Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_tan_ PASSED [0.0883s] [ 42%] 2025-12-04T09:38:35.1551953Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_tanh PASSED [0.0871s] [ 42%] 2025-12-04T09:38:35.1552341Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_tanh_ PASSED [0.0877s] [ 42%] 2025-12-04T09:38:35.1552750Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_tensor_split PASSED [0.0955s] [ 42%] 2025-12-04T09:38:35.1553166Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_tile PASSED [0.0881s] [ 43%] 2025-12-04T09:38:35.1553560Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_to PASSED [0.0951s] [ 43%] 2025-12-04T09:38:35.1553961Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_to_dense PASSED [0.0858s] [ 43%] 2025-12-04T09:38:35.1554358Z 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test_overrides.py::TestTorchFunctionOverride::test_Tensor_tril PASSED [0.0914s] [ 43%] 2025-12-04T09:38:35.1557915Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_tril_ PASSED [0.0905s] [ 43%] 2025-12-04T09:38:35.1558290Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_triu PASSED [0.0902s] [ 43%] 2025-12-04T09:38:35.1558668Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_triu_ PASSED [0.0900s] [ 44%] 2025-12-04T09:38:35.1559066Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_true_divide PASSED [0.0873s] [ 44%] 2025-12-04T09:38:35.1559474Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_true_divide_ PASSED [0.0863s] [ 44%] 2025-12-04T09:38:35.1559877Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_trunc PASSED [0.3056s] [ 44%] 2025-12-04T09:38:35.1560262Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_trunc_ PASSED [0.0906s] [ 44%] 2025-12-04T09:38:35.1560644Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_type PASSED [0.0925s] [ 44%] 2025-12-04T09:38:35.1561016Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_type_as PASSED [0.0943s] [ 44%] 2025-12-04T09:38:35.1561399Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_unbind PASSED [0.0898s] [ 44%] 2025-12-04T09:38:35.1561789Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_unfold PASSED [0.0875s] [ 44%] 2025-12-04T09:38:35.1562163Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_uniform_ PASSED [0.0855s] [ 44%] 2025-12-04T09:38:35.1562549Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_unique PASSED [0.0972s] [ 44%] 2025-12-04T09:38:35.1563008Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_unique_consecutive PASSED [0.0949s] [ 44%] 2025-12-04T09:38:35.1563437Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsafe_chunk PASSED [0.0905s] [ 44%] 2025-12-04T09:38:35.1563863Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsafe_split PASSED [0.0900s] [ 44%] 2025-12-04T09:38:35.1564312Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsafe_split_with_sizes PASSED [0.0887s] [ 44%] 2025-12-04T09:38:35.1564757Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsqueeze PASSED [0.0878s] [ 45%] 2025-12-04T09:38:35.1565167Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsqueeze_ PASSED [0.0888s] [ 45%] 2025-12-04T09:38:35.1565585Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_untyped_storage PASSED [0.0939s] [ 45%] 2025-12-04T09:38:35.1565996Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_values PASSED [0.0864s] [ 45%] 2025-12-04T09:38:35.1566393Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_var PASSED [0.0881s] [ 45%] 2025-12-04T09:38:35.1566782Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_vdot PASSED [0.0934s] [ 45%] 2025-12-04T09:38:35.1567164Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_view PASSED [0.0834s] [ 45%] 2025-12-04T09:38:35.1567555Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_view_as PASSED [0.0907s] [ 45%] 2025-12-04T09:38:35.1567968Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_vsplit PASSED [0.0891s] [ 45%] 2025-12-04T09:38:35.1568363Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_where PASSED [0.0960s] [ 45%] 2025-12-04T09:38:35.1568776Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_xlogy PASSED [0.0877s] [ 45%] 2025-12-04T09:38:35.1569192Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_xlogy_ PASSED [0.0875s] [ 45%] 2025-12-04T09:38:35.1569599Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_xpu PASSED [0.0920s] [ 45%] 2025-12-04T09:38:35.1569988Z test_overrides.py::TestTorchFunctionOverride::test_Tensor_zero_ PASSED [0.0851s] [ 45%] 2025-12-04T09:38:35.1570365Z test_overrides.py::TestTorchFunctionOverride::test_base PASSED [0.3830s] [ 45%] 2025-12-04T09:38:35.1570745Z test_overrides.py::TestTorchFunctionOverride::test_dtype_override PASSED [0.1270s] [ 46%] 2025-12-04T09:38:35.1571130Z test_overrides.py::TestTorchFunctionOverride::test_grad PASSED [0.1202s] [ 46%] 2025-12-04T09:38:35.1571542Z test_overrides.py::TestTorchFunctionOverride::test_has_torch_function_non_sequence PASSED [0.0334s] [ 46%] 2025-12-04T09:38:35.1572002Z test_overrides.py::TestTorchFunctionOverride::test_mean_semantics PASSED [0.2207s] [ 46%] 2025-12-04T09:38:35.1572422Z test_overrides.py::TestTorchFunctionOverride::test_mm_semantics PASSED [0.2750s] [ 46%] 2025-12-04T09:38:35.1573062Z test_overrides.py::TestTorchFunctionOverride::test_pow_rpow SKIPPED [0.1119s] (TypeError: Multiple dispatch failed for 'torch.Tensor.is_nested.__get__'; all __torch_function__ handlers returned NotImplemented: 2025-12-04T09:38:35.1573538Z 2025-12-04T09:38:35.1573773Z - tensor subclass .NothingImplemented'> 2025-12-04T09:38:35.1574067Z 2025-12-04T09:38:35.1574212Z For more information, try re-running with TORCH_LOGS=not_implemented 2025-12-04T09:38:35.1574409Z 2025-12-04T09:38:35.1574505Z from user code: 2025-12-04T09:38:35.1574865Z File "/var/lib/jenkins/workspace/test/test_overrides.py", line 616, in torch_dynamo_resume_in_test_pow_rpow_at_616 2025-12-04T09:38:35.1575275Z self.assertEqual(NothingImplemented() ** RPowOnly(), -1) 2025-12-04T09:38:35.1575468Z 2025-12-04T09:38:35.1575806Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-12-04T09:38:35.1576186Z 2025-12-04T09:38:35.1576205Z 2025-12-04T09:38:35.1576336Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:35.1576769Z PYTORCH_TEST_WITH_DYNAMO=1 python test/test_overrides.py TestTorchFunctionOverride.test_pow_rpow 2025-12-04T09:38:35.1577053Z 2025-12-04T09:38:35.1577213Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0) [ 46%] 2025-12-04T09:38:35.1577629Z test_overrides.py::TestTorchFunctionOverride::test_precedence_semantics PASSED [0.8273s] [ 46%] 2025-12-04T09:38:35.1578087Z test_overrides.py::TestTorchFunctionOverride::test_tensor_subclass_propagation PASSED [0.9532s] [ 46%] 2025-12-04T09:38:35.1578541Z test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_fft PASSED [0.0295s] [ 46%] 2025-12-04T09:38:35.1578967Z test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_fft2 PASSED [0.0276s] [ 46%] 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test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_tanh_cell PASSED [0.0263s] [ 90%] 2025-12-04T09:38:35.1787495Z test_overrides.py::TestTorchFunctionOverride::test_torch_roll PASSED [0.0264s] [ 90%] 2025-12-04T09:38:35.1787654Z test_overrides.py::TestTorchFunctionOverride::test_torch_rot90 PASSED [0.0271s] [ 90%] 2025-12-04T09:38:35.1787817Z test_overrides.py::TestTorchFunctionOverride::test_torch_round PASSED [0.0273s] [ 90%] 2025-12-04T09:38:35.1787998Z test_overrides.py::TestTorchFunctionOverride::test_torch_row_indices_copy PASSED [0.0269s] [ 90%] 2025-12-04T09:38:35.1788172Z test_overrides.py::TestTorchFunctionOverride::test_torch_row_stack PASSED [0.0263s] [ 90%] 2025-12-04T09:38:35.1788338Z test_overrides.py::TestTorchFunctionOverride::test_torch_rrelu PASSED [0.0265s] [ 90%] 2025-12-04T09:38:35.1788496Z test_overrides.py::TestTorchFunctionOverride::test_torch_rsqrt PASSED [0.0263s] [ 90%] 2025-12-04T09:38:35.1788661Z test_overrides.py::TestTorchFunctionOverride::test_torch_rsub PASSED [0.0266s] [ 90%] 2025-12-04T09:38:35.1788823Z test_overrides.py::TestTorchFunctionOverride::test_torch_saddmm PASSED [0.0263s] [ 90%] 2025-12-04T09:38:35.1788981Z test_overrides.py::TestTorchFunctionOverride::test_torch_scatter PASSED [0.0261s] [ 90%] 2025-12-04T09:38:35.1789158Z test_overrides.py::TestTorchFunctionOverride::test_torch_scatter_add PASSED [0.0262s] [ 90%] 2025-12-04T09:38:35.1789333Z test_overrides.py::TestTorchFunctionOverride::test_torch_scatter_reduce PASSED [0.0260s] [ 90%] 2025-12-04T09:38:35.1789517Z test_overrides.py::TestTorchFunctionOverride::test_torch_searchsorted PASSED [0.0266s] [ 90%] 2025-12-04T09:38:35.1789693Z test_overrides.py::TestTorchFunctionOverride::test_torch_segment_reduce PASSED [0.0264s] [ 91%] 2025-12-04T09:38:35.1789856Z test_overrides.py::TestTorchFunctionOverride::test_torch_select PASSED [0.0260s] [ 91%] 2025-12-04T09:38:35.1790033Z test_overrides.py::TestTorchFunctionOverride::test_torch_select_copy PASSED [0.0264s] [ 91%] 2025-12-04T09:38:35.1790210Z test_overrides.py::TestTorchFunctionOverride::test_torch_select_scatter PASSED [0.0263s] [ 91%] 2025-12-04T09:38:35.1790368Z test_overrides.py::TestTorchFunctionOverride::test_torch_selu PASSED [0.0257s] [ 91%] 2025-12-04T09:38:35.1790532Z test_overrides.py::TestTorchFunctionOverride::test_torch_sgn PASSED [0.0257s] [ 91%] 2025-12-04T09:38:35.1790693Z test_overrides.py::TestTorchFunctionOverride::test_torch_sigmoid PASSED [0.0257s] [ 91%] 2025-12-04T09:38:35.1790858Z test_overrides.py::TestTorchFunctionOverride::test_torch_sign PASSED [0.0255s] [ 91%] 2025-12-04T09:38:35.1791024Z test_overrides.py::TestTorchFunctionOverride::test_torch_signbit PASSED [0.0255s] [ 91%] 2025-12-04T09:38:35.1791181Z test_overrides.py::TestTorchFunctionOverride::test_torch_sin PASSED [0.0267s] [ 91%] 2025-12-04T09:38:35.1791348Z test_overrides.py::TestTorchFunctionOverride::test_torch_sinc PASSED [0.0262s] [ 91%] 2025-12-04T09:38:35.1791504Z test_overrides.py::TestTorchFunctionOverride::test_torch_sinh PASSED [0.0262s] [ 91%] 2025-12-04T09:38:35.1791701Z test_overrides.py::TestTorchFunctionOverride::test_torch_slice_copy PASSED [0.0263s] [ 91%] 2025-12-04T09:38:35.1791882Z test_overrides.py::TestTorchFunctionOverride::test_torch_slice_inverse PASSED [0.0260s] [ 91%] 2025-12-04T09:38:35.1792054Z test_overrides.py::TestTorchFunctionOverride::test_torch_slice_scatter PASSED [0.0260s] [ 92%] 2025-12-04T09:38:35.1792224Z test_overrides.py::TestTorchFunctionOverride::test_torch_slogdet PASSED [0.0264s] [ 92%] 2025-12-04T09:38:35.1792379Z test_overrides.py::TestTorchFunctionOverride::test_torch_smm PASSED [0.0269s] [ 92%] 2025-12-04T09:38:35.1792567Z test_overrides.py::TestTorchFunctionOverride::test_torch_softmax PASSED [0.0263s] [ 92%] 2025-12-04T09:38:35.1792747Z test_overrides.py::TestTorchFunctionOverride::test_torch_sort PASSED [0.0259s] [ 92%] 2025-12-04T09:38:35.1792916Z test_overrides.py::TestTorchFunctionOverride::test_torch_split_copy PASSED [0.0258s] [ 92%] 2025-12-04T09:38:35.1793108Z test_overrides.py::TestTorchFunctionOverride::test_torch_split_with_sizes PASSED [0.0260s] [ 92%] 2025-12-04T09:38:35.1793300Z test_overrides.py::TestTorchFunctionOverride::test_torch_split_with_sizes_copy PASSED [0.0261s] [ 92%] 2025-12-04T09:38:35.1793457Z test_overrides.py::TestTorchFunctionOverride::test_torch_sqrt PASSED [0.0256s] [ 92%] 2025-12-04T09:38:35.1793625Z test_overrides.py::TestTorchFunctionOverride::test_torch_square PASSED [0.0259s] [ 92%] 2025-12-04T09:38:35.1793785Z test_overrides.py::TestTorchFunctionOverride::test_torch_squeeze PASSED [0.0270s] [ 92%] 2025-12-04T09:38:35.1793967Z test_overrides.py::TestTorchFunctionOverride::test_torch_squeeze_copy PASSED [0.0263s] [ 92%] 2025-12-04T09:38:35.1794122Z test_overrides.py::TestTorchFunctionOverride::test_torch_stack PASSED [0.0261s] [ 92%] 2025-12-04T09:38:35.1794280Z test_overrides.py::TestTorchFunctionOverride::test_torch_std PASSED [0.0257s] [ 92%] 2025-12-04T09:38:35.1794449Z test_overrides.py::TestTorchFunctionOverride::test_torch_std_mean PASSED [0.0254s] [ 92%] 2025-12-04T09:38:35.1794605Z test_overrides.py::TestTorchFunctionOverride::test_torch_sub PASSED [0.0252s] [ 93%] 2025-12-04T09:38:35.1794766Z test_overrides.py::TestTorchFunctionOverride::test_torch_subtract PASSED [0.0253s] [ 93%] 2025-12-04T09:38:35.1794927Z test_overrides.py::TestTorchFunctionOverride::test_torch_sum PASSED [0.0254s] [ 93%] 2025-12-04T09:38:35.1795080Z test_overrides.py::TestTorchFunctionOverride::test_torch_svd PASSED [0.0256s] [ 93%] 2025-12-04T09:38:35.1795253Z test_overrides.py::TestTorchFunctionOverride::test_torch_swapaxes PASSED [0.0253s] [ 93%] 2025-12-04T09:38:35.1795419Z test_overrides.py::TestTorchFunctionOverride::test_torch_swapdims PASSED [0.0253s] [ 93%] 2025-12-04T09:38:35.1795586Z test_overrides.py::TestTorchFunctionOverride::test_torch_sym_float PASSED [0.0255s] [ 93%] 2025-12-04T09:38:35.1795755Z test_overrides.py::TestTorchFunctionOverride::test_torch_sym_int PASSED [0.0257s] [ 93%] 2025-12-04T09:38:35.1795916Z test_overrides.py::TestTorchFunctionOverride::test_torch_sym_ite PASSED [0.0255s] [ 93%] 2025-12-04T09:38:35.1796084Z test_overrides.py::TestTorchFunctionOverride::test_torch_sym_max PASSED [0.0258s] [ 93%] 2025-12-04T09:38:35.1796250Z test_overrides.py::TestTorchFunctionOverride::test_torch_sym_min PASSED [0.0261s] [ 93%] 2025-12-04T09:38:35.1796412Z test_overrides.py::TestTorchFunctionOverride::test_torch_sym_not PASSED [0.0263s] [ 93%] 2025-12-04T09:38:35.1796583Z test_overrides.py::TestTorchFunctionOverride::test_torch_sym_sum PASSED [0.0265s] [ 93%] 2025-12-04T09:38:35.1796739Z test_overrides.py::TestTorchFunctionOverride::test_torch_t PASSED [0.0261s] [ 93%] 2025-12-04T09:38:35.1796905Z test_overrides.py::TestTorchFunctionOverride::test_torch_t_copy PASSED [0.0260s] [ 93%] 2025-12-04T09:38:35.1797072Z test_overrides.py::TestTorchFunctionOverride::test_torch_take PASSED [0.0271s] [ 94%] 2025-12-04T09:38:35.1797251Z test_overrides.py::TestTorchFunctionOverride::test_torch_take_along_dim PASSED [0.0274s] [ 94%] 2025-12-04T09:38:35.1797427Z test_overrides.py::TestTorchFunctionOverride::test_torch_tan PASSED [0.0275s] [ 94%] 2025-12-04T09:38:35.1797581Z test_overrides.py::TestTorchFunctionOverride::test_torch_tanh PASSED [0.0270s] [ 94%] 2025-12-04T09:38:35.1797754Z test_overrides.py::TestTorchFunctionOverride::test_torch_tensor_split PASSED [0.0268s] [ 94%] 2025-12-04T09:38:35.1797929Z test_overrides.py::TestTorchFunctionOverride::test_torch_threshold PASSED [0.0270s] [ 94%] 2025-12-04T09:38:35.1798082Z test_overrides.py::TestTorchFunctionOverride::test_torch_tile PASSED [0.3289s] [ 94%] 2025-12-04T09:38:35.1798274Z test_overrides.py::TestTorchFunctionOverride::test_torch_topk PASSED [0.0286s] [ 94%] 2025-12-04T09:38:35.1798435Z test_overrides.py::TestTorchFunctionOverride::test_torch_trace PASSED [0.0280s] [ 94%] 2025-12-04T09:38:35.1798617Z test_overrides.py::TestTorchFunctionOverride::test_torch_transpose PASSED [0.0286s] [ 94%] 2025-12-04T09:38:35.1798798Z test_overrides.py::TestTorchFunctionOverride::test_torch_transpose_copy PASSED [0.0285s] [ 94%] 2025-12-04T09:38:35.1798964Z test_overrides.py::TestTorchFunctionOverride::test_torch_trapezoid PASSED [0.0285s] [ 94%] 2025-12-04T09:38:35.1799121Z test_overrides.py::TestTorchFunctionOverride::test_torch_trapz PASSED [0.0288s] [ 94%] 2025-12-04T09:38:35.1799308Z test_overrides.py::TestTorchFunctionOverride::test_torch_triangular_solve PASSED [0.0287s] [ 94%] 2025-12-04T09:38:35.1799463Z test_overrides.py::TestTorchFunctionOverride::test_torch_tril PASSED [0.0280s] [ 94%] 2025-12-04T09:38:35.1799656Z test_overrides.py::TestTorchFunctionOverride::test_torch_triplet_margin_loss PASSED [0.0272s] [ 95%] 2025-12-04T09:38:35.1799812Z test_overrides.py::TestTorchFunctionOverride::test_torch_triu PASSED [0.0269s] [ 95%] 2025-12-04T09:38:35.1799986Z test_overrides.py::TestTorchFunctionOverride::test_torch_true_divide PASSED [0.0267s] [ 95%] 2025-12-04T09:38:35.1800159Z test_overrides.py::TestTorchFunctionOverride::test_torch_trunc PASSED [0.0262s] [ 95%] 2025-12-04T09:38:35.1800326Z test_overrides.py::TestTorchFunctionOverride::test_torch_unbind PASSED [0.0261s] [ 95%] 2025-12-04T09:38:35.1800508Z test_overrides.py::TestTorchFunctionOverride::test_torch_unbind_copy PASSED [0.0266s] [ 95%] 2025-12-04T09:38:35.1800674Z test_overrides.py::TestTorchFunctionOverride::test_torch_unflatten PASSED [0.0267s] [ 95%] 2025-12-04T09:38:35.1800842Z test_overrides.py::TestTorchFunctionOverride::test_torch_unfold_copy PASSED [0.0268s] [ 95%] 2025-12-04T09:38:35.1801017Z test_overrides.py::TestTorchFunctionOverride::test_torch_unsafe_chunk PASSED [0.0267s] [ 95%] 2025-12-04T09:38:35.1801185Z test_overrides.py::TestTorchFunctionOverride::test_torch_unsafe_split PASSED [0.0263s] [ 95%] 2025-12-04T09:38:35.1801386Z test_overrides.py::TestTorchFunctionOverride::test_torch_unsafe_split_with_sizes PASSED [0.0265s] [ 95%] 2025-12-04T09:38:35.1801551Z test_overrides.py::TestTorchFunctionOverride::test_torch_unsqueeze PASSED [0.0262s] [ 95%] 2025-12-04T09:38:35.1801724Z test_overrides.py::TestTorchFunctionOverride::test_torch_unsqueeze_copy PASSED [0.0262s] [ 95%] 2025-12-04T09:38:35.1802091Z test_overrides.py::TestTorchFunctionOverride::test_torch_values_copy PASSED [0.0265s] [ 95%] 2025-12-04T09:38:35.1802280Z test_overrides.py::TestTorchFunctionOverride::test_torch_var PASSED [0.0264s] [ 96%] 2025-12-04T09:38:35.1802451Z test_overrides.py::TestTorchFunctionOverride::test_torch_var_mean PASSED [0.0267s] [ 96%] 2025-12-04T09:38:35.1802616Z test_overrides.py::TestTorchFunctionOverride::test_torch_vdot PASSED [0.0269s] [ 96%] 2025-12-04T09:38:35.1802797Z test_overrides.py::TestTorchFunctionOverride::test_torch_view_as_complex PASSED [0.0270s] [ 96%] 2025-12-04T09:38:35.1802997Z test_overrides.py::TestTorchFunctionOverride::test_torch_view_as_complex_copy PASSED [0.0267s] [ 96%] 2025-12-04T09:38:35.1803169Z test_overrides.py::TestTorchFunctionOverride::test_torch_view_as_real PASSED [0.0278s] [ 96%] 2025-12-04T09:38:35.1803350Z test_overrides.py::TestTorchFunctionOverride::test_torch_view_as_real_copy PASSED [0.0272s] [ 96%] 2025-12-04T09:38:35.1803572Z test_overrides.py::TestTorchFunctionOverride::test_torch_view_copy PASSED [0.0270s] [ 96%] 2025-12-04T09:38:35.1803730Z test_overrides.py::TestTorchFunctionOverride::test_torch_vsplit PASSED [0.0271s] [ 96%] 2025-12-04T09:38:35.1803892Z test_overrides.py::TestTorchFunctionOverride::test_torch_vstack PASSED [0.0265s] [ 96%] 2025-12-04T09:38:35.1804048Z test_overrides.py::TestTorchFunctionOverride::test_torch_where PASSED [0.0264s] [ 96%] 2025-12-04T09:38:35.1804205Z test_overrides.py::TestTorchFunctionOverride::test_torch_xlogy PASSED [0.0266s] [ 96%] 2025-12-04T09:38:35.1804424Z test_overrides.py::TestTorchFunctionOverride::test_torch_zeros_like PASSED [0.0263s] [ 96%] 2025-12-04T09:38:35.1804611Z test_overrides.py::TestTorchFunctionOverride::test_user_implementation_raises PASSED [0.0642s] [ 96%] 2025-12-04T09:38:35.1804787Z test_overrides.py::TestEinsumOverride::test_wrapper PASSED [0.3570s] [ 96%] 2025-12-04T09:38:35.1804945Z test_overrides.py::TestGradCheckOverride::test_gradcheck PASSED [0.9987s] [ 97%] 2025-12-04T09:38:35.1805085Z test_overrides.py::TestNamedTuple::test_max PASSED [0.3012s] [ 97%] 2025-12-04T09:38:35.1805244Z test_overrides.py::TestGradNewOnesOverride::test_newones PASSED [0.1229s] [ 97%] 2025-12-04T09:38:35.1805378Z test_overrides.py::TestPickle::test_pickle PASSED [0.2041s] [ 97%] 2025-12-04T09:38:35.1805537Z test_overrides.py::TestBroadcastAllOverride::test_broadcast_all PASSED [0.6240s] [ 97%] 2025-12-04T09:38:35.1805709Z test_overrides.py::TestWrapTorchFunction::test_wrap_torch_function PASSED [0.1279s] [ 97%] 2025-12-04T09:38:35.1805849Z test_overrides.py::TestIndexing::test_getitem PASSED [0.2044s] [ 97%] 2025-12-04T09:38:35.1805994Z test_overrides.py::TestIndexing::test_getitem_subclass PASSED [0.1020s] [ 97%] 2025-12-04T09:38:35.1806127Z test_overrides.py::TestIndexing::test_setitem PASSED [0.2113s] [ 97%] 2025-12-04T09:38:35.1806262Z test_overrides.py::TestIndexing::test_setitem_subclass PASSED [0.1021s] [ 97%] 2025-12-04T09:38:35.1806404Z test_overrides.py::TestIndexing::test_setitem_val PASSED [0.1805s] [ 97%] 2025-12-04T09:38:35.1806636Z test_overrides.py::TestIterator::test_iterator SKIPPED [0.3982s] ( is not 2025-12-04T09:38:35.1806643Z 2025-12-04T09:38:35.1806765Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:35.1806930Z PYTORCH_TEST_WITH_DYNAMO=1 python test/test_overrides.py TestIterator.test_iterator 2025-12-04T09:38:35.1806933Z 2025-12-04T09:38:35.1807082Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0) [ 97%] 2025-12-04T09:38:35.1807220Z test_overrides.py::TestRNN::test_rnn PASSED [0.1666s] [ 97%] 2025-12-04T09:38:35.1807432Z test_overrides.py::TestDisabledTorchFunction::test_parameter_does_not_prevent_dispatch PASSED [0.3147s] [ 97%] 2025-12-04T09:38:35.1807570Z test_overrides.py::TestResolveName::test_resolve_name PASSED [0.3347s] [ 97%] 2025-12-04T09:38:35.1807786Z test_overrides.py::TestTorchFunctionWarning::test_torch_function_standalone_class PASSED [0.2444s] [ 98%] 2025-12-04T09:38:35.1807984Z test_overrides.py::TestTorchFunctionWarning::test_torch_function_tensor_subclass PASSED [0.1152s] [ 98%] 2025-12-04T09:38:35.1808235Z test_overrides.py::TestDisabledUserWarnings::test_no_implicit_user_warning_for_deprecated_functions PASSED [0.2954s] [ 98%] 2025-12-04T09:38:35.1808406Z test_overrides.py::TestTorchFunctionMode::test_all_same_mode PASSED [0.0280s] [ 98%] 2025-12-04T09:38:35.1808543Z test_overrides.py::TestTorchFunctionMode::test_basic PASSED [0.1943s] [ 98%] 2025-12-04T09:38:35.1808886Z test_overrides.py::TestTorchFunctionMode::test_custom_device_type SKIPPED [0.0613s] (RuntimeError: Cannot access accelerator device when none is available. 2025-12-04T09:38:35.1808891Z 2025-12-04T09:38:35.1808956Z from user code: 2025-12-04T09:38:35.1809230Z File "/var/lib/jenkins/workspace/test/test_overrides.py", line 1887, in torch_dynamo_resume_in_test_custom_device_type_at_1875 2025-12-04T09:38:35.1809345Z d_args = torch.device(0) 2025-12-04T09:38:35.1809349Z 2025-12-04T09:38:35.1809679Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-12-04T09:38:35.1809690Z 2025-12-04T09:38:35.1809693Z 2025-12-04T09:38:35.1809808Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:35.1810004Z PYTORCH_TEST_WITH_DYNAMO=1 python test/test_overrides.py TestTorchFunctionMode.test_custom_device_type 2025-12-04T09:38:35.1810008Z 2025-12-04T09:38:35.1810201Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0) [ 98%] 2025-12-04T09:38:35.1810399Z test_overrides.py::TestTorchFunctionMode::test_device_context_semantics PASSED [0.0604s] [ 98%] 2025-12-04T09:38:35.1810814Z test_overrides.py::TestTorchFunctionMode::test_disable_enable_subclass SKIPPED [0.1056s] (tensor(-0.9585) is not an instance of .A'> 2025-12-04T09:38:35.1810819Z 2025-12-04T09:38:35.1810934Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:35.1811149Z PYTORCH_TEST_WITH_DYNAMO=1 python test/test_overrides.py TestTorchFunctionMode.test_disable_enable_subclass 2025-12-04T09:38:35.1811152Z 2025-12-04T09:38:35.1811310Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0) [ 98%] 2025-12-04T09:38:35.1811550Z test_overrides.py::TestTorchFunctionMode::test_disable_enable_torch_function_ctx ('RERUN', {'yellow': True}) [0.0055s] [ 98%] 2025-12-04T09:38:35.1811764Z test_overrides.py::TestTorchFunctionMode::test_disable_enable_torch_function_ctx PASSED [0.0674s] [ 98%] 2025-12-04T09:38:35.1811970Z test_overrides.py::TestTorchFunctionMode::test_disable_subclass_mode SKIPPED [0.1696s] (True is not false 2025-12-04T09:38:35.1811974Z 2025-12-04T09:38:35.1812085Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:35.1812299Z PYTORCH_TEST_WITH_DYNAMO=1 python test/test_overrides.py TestTorchFunctionMode.test_disable_subclass_mode 2025-12-04T09:38:35.1812303Z 2025-12-04T09:38:35.1812452Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0) [ 98%] 2025-12-04T09:38:35.1812877Z test_overrides.py::TestTorchFunctionMode::test_disable_subclass_not_mode SKIPPED [0.1734s] (This test passed, maybe we can remove `test/dynamo_skips/TestTorchFunctionMode.test_disable_subclass_not_mode`) [ 98%] 2025-12-04T09:38:35.1813062Z test_overrides.py::TestTorchFunctionMode::test_distributions_bernoulli PASSED [0.1236s] [ 98%] 2025-12-04T09:38:35.1813255Z test_overrides.py::TestTorchFunctionMode::test_error_using_class_method_on_mode PASSED [0.1013s] [ 98%] 2025-12-04T09:38:35.1813523Z test_overrides.py::TestTorchFunctionMode::test_factory_override SKIPPED [0.2481s] (KeyError: ___prev_torch_function_mode_stack_8809 2025-12-04T09:38:35.1813526Z 2025-12-04T09:38:35.1813530Z 2025-12-04T09:38:35.1813641Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:35.1813840Z PYTORCH_TEST_WITH_DYNAMO=1 python test/test_overrides.py TestTorchFunctionMode.test_factory_override 2025-12-04T09:38:35.1813843Z 2025-12-04T09:38:35.1813991Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0) [ 98%] 2025-12-04T09:38:35.1814146Z test_overrides.py::TestTorchFunctionMode::test_get_cur_mode PASSED [0.0319s] [ 98%] 2025-12-04T09:38:35.1815010Z test_overrides.py::TestTorchFunctionMode::test_get_mode_stack SKIPPED [0.0285s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/133994 for platform(s) asan, dynamo, linux, mac, macos, rocm, slow, win, windows. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 99%] 2025-12-04T09:38:35.1815753Z test_overrides.py::TestTorchFunctionMode::test_getitem_call SKIPPED [0.0283s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/162586 for platform(s) dynamo. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 99%] 2025-12-04T09:38:35.1816107Z test_overrides.py::TestTorchFunctionMode::test_mode_notimplemented_loop E1204 09:38:32.390000 2627 site-packages/torch/_guards.py:380] [4/0_1] Error while creating guard: 2025-12-04T09:38:35.1816274Z E1204 09:38:32.390000 2627 site-packages/torch/_guards.py:380] [4/0_1] Name: "L['___stack0']" 2025-12-04T09:38:35.1816459Z E1204 09:38:32.390000 2627 site-packages/torch/_guards.py:380] [4/0_1] Source: local 2025-12-04T09:38:35.1816651Z E1204 09:38:32.390000 2627 site-packages/torch/_guards.py:380] [4/0_1] Create Function: TENSOR_MATCH 2025-12-04T09:38:35.1816815Z E1204 09:38:32.390000 2627 site-packages/torch/_guards.py:380] [4/0_1] Guard Types: None 2025-12-04T09:38:35.1816970Z E1204 09:38:32.390000 2627 site-packages/torch/_guards.py:380] [4/0_1] Code List: None 2025-12-04T09:38:35.1817130Z E1204 09:38:32.390000 2627 site-packages/torch/_guards.py:380] [4/0_1] Object Weakref: None 2025-12-04T09:38:35.1817313Z E1204 09:38:32.390000 2627 site-packages/torch/_guards.py:380] [4/0_1] Guarded Class Weakref: None 2025-12-04T09:38:35.1817492Z E1204 09:38:32.390000 2627 site-packages/torch/_guards.py:380] [4/0_1] Traceback (most recent call last): 2025-12-04T09:38:35.1817815Z E1204 09:38:32.390000 2627 site-packages/torch/_guards.py:380] [4/0_1] File "/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_guards.py", line 378, in create 2025-12-04T09:38:35.1818002Z E1204 09:38:32.390000 2627 site-packages/torch/_guards.py:380] [4/0_1] return self.create_fn(builder, self) 2025-12-04T09:38:35.1818174Z E1204 09:38:32.390000 2627 site-packages/torch/_guards.py:380] [4/0_1] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2025-12-04T09:38:35.1818518Z E1204 09:38:32.390000 2627 site-packages/torch/_guards.py:380] [4/0_1] File "/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_dynamo/guards.py", line 2925, in TENSOR_MATCH 2025-12-04T09:38:35.1818690Z E1204 09:38:32.390000 2627 site-packages/torch/_guards.py:380] [4/0_1] get_tensor_guard_code_part( 2025-12-04T09:38:35.1819051Z E1204 09:38:32.390000 2627 site-packages/torch/_guards.py:380] [4/0_1] File "/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_dynamo/guards.py", line 856, in get_tensor_guard_code_part 2025-12-04T09:38:35.1819238Z E1204 09:38:32.390000 2627 site-packages/torch/_guards.py:380] [4/0_1] device_index = value.device.index 2025-12-04T09:38:35.1819408Z E1204 09:38:32.390000 2627 site-packages/torch/_guards.py:380] [4/0_1] ^^^^^^^^^^^^^^^^^^ 2025-12-04T09:38:35.1819630Z E1204 09:38:32.390000 2627 site-packages/torch/_guards.py:380] [4/0_1] AttributeError: 'int' object has no attribute 'index' 2025-12-04T09:38:35.1819784Z SKIPPED [0.1500s] (AttributeError: 'int' object has no attribute 'index' 2025-12-04T09:38:35.1819790Z 2025-12-04T09:38:35.1819793Z 2025-12-04T09:38:35.1820000Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:35.1820262Z PYTORCH_TEST_WITH_DYNAMO=1 python test/test_overrides.py TestTorchFunctionMode.test_mode_notimplemented_loop 2025-12-04T09:38:35.1820267Z 2025-12-04T09:38:35.1820440Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0) [ 99%] 2025-12-04T09:38:35.1821308Z test_overrides.py::TestTorchFunctionMode::test_modes_handle_first SKIPPED [0.0285s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/162624 for platform(s) dynamo. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 99%] 2025-12-04T09:38:35.1821637Z test_overrides.py::TestTorchFunctionMode::test_modes_return_notimplemented E1204 09:38:32.530000 2627 site-packages/torch/_guards.py:380] [3/0_1] Error while creating guard: 2025-12-04T09:38:35.1821839Z E1204 09:38:32.530000 2627 site-packages/torch/_guards.py:380] [3/0_1] Name: "L['___stack0']" 2025-12-04T09:38:35.1821986Z E1204 09:38:32.530000 2627 site-packages/torch/_guards.py:380] [3/0_1] Source: local 2025-12-04T09:38:35.1822174Z E1204 09:38:32.530000 2627 site-packages/torch/_guards.py:380] [3/0_1] Create Function: TENSOR_MATCH 2025-12-04T09:38:35.1822327Z E1204 09:38:32.530000 2627 site-packages/torch/_guards.py:380] [3/0_1] Guard Types: None 2025-12-04T09:38:35.1822511Z E1204 09:38:32.530000 2627 site-packages/torch/_guards.py:380] [3/0_1] Code List: None 2025-12-04T09:38:35.1822684Z E1204 09:38:32.530000 2627 site-packages/torch/_guards.py:380] [3/0_1] Object Weakref: None 2025-12-04T09:38:35.1822886Z E1204 09:38:32.530000 2627 site-packages/torch/_guards.py:380] [3/0_1] Guarded Class Weakref: None 2025-12-04T09:38:35.1823067Z E1204 09:38:32.530000 2627 site-packages/torch/_guards.py:380] [3/0_1] Traceback (most recent call last): 2025-12-04T09:38:35.1823366Z E1204 09:38:32.530000 2627 site-packages/torch/_guards.py:380] [3/0_1] File "/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_guards.py", line 378, in create 2025-12-04T09:38:35.1823542Z E1204 09:38:32.530000 2627 site-packages/torch/_guards.py:380] [3/0_1] return self.create_fn(builder, self) 2025-12-04T09:38:35.1823716Z E1204 09:38:32.530000 2627 site-packages/torch/_guards.py:380] [3/0_1] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2025-12-04T09:38:35.1824032Z E1204 09:38:32.530000 2627 site-packages/torch/_guards.py:380] [3/0_1] File "/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_dynamo/guards.py", line 2925, in TENSOR_MATCH 2025-12-04T09:38:35.1824207Z E1204 09:38:32.530000 2627 site-packages/torch/_guards.py:380] [3/0_1] get_tensor_guard_code_part( 2025-12-04T09:38:35.1824549Z E1204 09:38:32.530000 2627 site-packages/torch/_guards.py:380] [3/0_1] File "/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_dynamo/guards.py", line 856, in get_tensor_guard_code_part 2025-12-04T09:38:35.1824733Z E1204 09:38:32.530000 2627 site-packages/torch/_guards.py:380] [3/0_1] device_index = value.device.index 2025-12-04T09:38:35.1824906Z E1204 09:38:32.530000 2627 site-packages/torch/_guards.py:380] [3/0_1] ^^^^^^^^^^^^^^^^^^ 2025-12-04T09:38:35.1825109Z E1204 09:38:32.530000 2627 site-packages/torch/_guards.py:380] [3/0_1] AttributeError: 'int' object has no attribute 'index' 2025-12-04T09:38:35.1825250Z SKIPPED [0.1039s] (AttributeError: 'int' object has no attribute 'index' 2025-12-04T09:38:35.1825256Z 2025-12-04T09:38:35.1825259Z 2025-12-04T09:38:35.1825369Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:35.1825586Z PYTORCH_TEST_WITH_DYNAMO=1 python test/test_overrides.py TestTorchFunctionMode.test_modes_return_notimplemented 2025-12-04T09:38:35.1825589Z 2025-12-04T09:38:35.1825745Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0) [ 99%] 2025-12-04T09:38:35.1826008Z test_overrides.py::TestTorchFunctionMode::test_nested_modes_with_python_has_torch_function SKIPPED [0.2293s] ('int' object is not iterable 2025-12-04T09:38:35.1826011Z 2025-12-04T09:38:35.1826127Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:35.1826373Z PYTORCH_TEST_WITH_DYNAMO=1 python test/test_overrides.py TestTorchFunctionMode.test_nested_modes_with_python_has_torch_function 2025-12-04T09:38:35.1826376Z 2025-12-04T09:38:35.1826520Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0) [ 99%] 2025-12-04T09:38:35.1826692Z test_overrides.py::TestTorchFunctionMode::test_nested_same_mode PASSED [0.3987s] [ 99%] 2025-12-04T09:38:35.1826843Z test_overrides.py::TestTorchFunctionMode::test_nn_parse_to PASSED [0.1192s] [ 99%] 2025-12-04T09:38:35.1827579Z test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom SKIPPED [0.0276s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/162677 for platform(s) dynamo. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 99%] 2025-12-04T09:38:35.1827804Z test_overrides.py::TestTorchFunctionMode::test_restacking_with_ancestor PASSED [0.0270s] [ 99%] 2025-12-04T09:38:35.1828068Z test_overrides.py::TestTorchFunctionMode::test_subclass_hash SKIPPED [0.0627s] (Trying to create tensor with negative dimension -1: [-1] 2025-12-04T09:38:35.1828071Z 2025-12-04T09:38:35.1828210Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:35.1828397Z PYTORCH_TEST_WITH_DYNAMO=1 python test/test_overrides.py TestTorchFunctionMode.test_subclass_hash 2025-12-04T09:38:35.1828424Z 2025-12-04T09:38:35.1828576Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0) [ 99%] 2025-12-04T09:38:35.1829318Z test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api SKIPPED [0.0275s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/162704 for platform(s) dynamo. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 99%] 2025-12-04T09:38:35.1829476Z test_overrides.py::TestTorchFunctionMode::test_with_mode PASSED [0.1206s] [ 99%] 2025-12-04T09:38:35.1829659Z test_overrides.py::TestTorchFunctionMode::test_with_mode_created_separately PASSED [0.1230s] [ 99%] 2025-12-04T09:38:35.1829830Z test_overrides.py::TestTorchFunctionMode::test_with_nested_modes PASSED [0.1603s] [100%] 2025-12-04T09:38:35.1829835Z 2025-12-04T09:38:35.1829918Z ==================================== RERUNS ==================================== 2025-12-04T09:38:35.1830063Z _________ TestTorchFunctionMode.test_disable_enable_torch_function_ctx _________ 2025-12-04T09:38:35.1830147Z Traceback (most recent call last): 2025-12-04T09:38:35.1830360Z File "/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_dynamo/convert_frame.py", line 328, in _fn 2025-12-04T09:38:35.1830434Z return fn(*args, **kwargs) 2025-12-04T09:38:35.1830500Z ^^^^^^^^^^^^^^^^^^^ 2025-12-04T09:38:35.1830720Z File "/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_dynamo/convert_frame.py", line 837, in trace_frame 2025-12-04T09:38:35.1830790Z run_tracer() 2025-12-04T09:38:35.1831005Z File "/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_dynamo/convert_frame.py", line 818, in run_tracer 2025-12-04T09:38:35.1831064Z tracer.run() 2025-12-04T09:38:35.1831281Z File "/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_dynamo/symbolic_convert.py", line 1639, in run 2025-12-04T09:38:35.1831345Z while self.step(): 2025-12-04T09:38:35.1831403Z ^^^^^^^^^^^ 2025-12-04T09:38:35.1831613Z File "/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_dynamo/symbolic_convert.py", line 1319, in step 2025-12-04T09:38:35.1831703Z self.dispatch_table[inst.opcode](self, inst) 2025-12-04T09:38:35.1831917Z File "/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_dynamo/symbolic_convert.py", line 898, in wrapper 2025-12-04T09:38:35.1832044Z speculation.fail_and_restart_analysis(self.error_on_graph_break) 2025-12-04T09:38:35.1832293Z File "/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_dynamo/symbolic_convert.py", line 255, in fail_and_restart_analysis 2025-12-04T09:38:35.1832440Z raise exc.SpeculationRestartAnalysis(restart_reason=restart_reason) 2025-12-04T09:38:35.1832538Z torch._dynamo.exc.SpeculationRestartAnalysis 2025-12-04T09:38:35.1832542Z 2025-12-04T09:38:35.1832670Z During handling of the above exception, another exception occurred: 2025-12-04T09:38:35.1832681Z 2025-12-04T09:38:35.1832755Z Traceback (most recent call last): 2025-12-04T09:38:35.1832976Z File "/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/testing/_internal/common_utils.py", line 3511, in run 2025-12-04T09:38:35.1833063Z self._run_custom( 2025-12-04T09:38:35.1833304Z File "/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/testing/_internal/common_utils.py", line 3481, in _run_custom 2025-12-04T09:38:35.1833372Z super_run(result=result) 2025-12-04T09:38:35.1833595Z File "/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_dynamo/eval_frame.py", line 926, in compile_wrapper 2025-12-04T09:38:35.1833660Z return fn(*args, **kwargs) 2025-12-04T09:38:35.1833723Z ^^^^^^^^^^^^^^^^^^^ 2025-12-04T09:38:35.1833962Z File "/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_dynamo/convert_frame.py", line 2194, in __call__ 2025-12-04T09:38:35.1834061Z result = self._torchdynamo_orig_backend( 2025-12-04T09:38:35.1834134Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2025-12-04T09:38:35.1834334Z File "/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_dynamo/convert_frame.py", line 1937, in __call__ 2025-12-04T09:38:35.1834408Z result = self._inner_convert( 2025-12-04T09:38:35.1834474Z ^^^^^^^^^^^^^^^^^^^^ 2025-12-04T09:38:35.1834680Z File "/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_dynamo/convert_frame.py", line 706, in __call__ 2025-12-04T09:38:35.1834748Z result = _compile( 2025-12-04T09:38:35.1834805Z ^^^^^^^^^ 2025-12-04T09:38:35.1835009Z File "/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_dynamo/convert_frame.py", line 1744, in _compile 2025-12-04T09:38:35.1835142Z guarded_code, tracer_output = compile_inner(code, one_graph, hooks) 2025-12-04T09:38:35.1835219Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2025-12-04T09:38:35.1835431Z File "/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_utils_internal.py", line 97, in wrapper_function 2025-12-04T09:38:35.1835510Z return function(*args, **kwargs) 2025-12-04T09:38:35.1835570Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2025-12-04T09:38:35.1835793Z File "/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_dynamo/convert_frame.py", line 1425, in compile_inner 2025-12-04T09:38:35.1835883Z return _compile_inner(code, one_graph, hooks) 2025-12-04T09:38:35.1835953Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2025-12-04T09:38:35.1836187Z File "/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_dynamo/convert_frame.py", line 1459, in _compile_inner 2025-12-04T09:38:35.1836257Z dynamo_output = compile_frame( 2025-12-04T09:38:35.1836316Z ^^^^^^^^^^^^^^ 2025-12-04T09:38:35.1836544Z File "/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_dynamo/convert_frame.py", line 1341, in compile_frame 2025-12-04T09:38:35.1836669Z bytecode, tracer_output = transform_code_object(code, transform) 2025-12-04T09:38:35.1836752Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2025-12-04T09:38:35.1837012Z File "/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_dynamo/bytecode_transformation.py", line 1600, in transform_code_object 2025-12-04T09:38:35.1837126Z tracer_output = transformations(instructions, code_options) 2025-12-04T09:38:35.1837204Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2025-12-04T09:38:35.1837413Z File "/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_dynamo/convert_frame.py", line 1313, in transform 2025-12-04T09:38:35.1837482Z tracer_output = trace_frame( 2025-12-04T09:38:35.1837553Z ^^^^^^^^^^^^ 2025-12-04T09:38:35.1837750Z File "/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/_dynamo/convert_frame.py", line 355, in _fn 2025-12-04T09:38:35.1837826Z assert guards.check(), ( 2025-12-04T09:38:35.1837885Z ^^^^^^^^^^^^^^ 2025-12-04T09:38:35.1838066Z AssertionError: Global torch_function state changed while dynamo tracing, please report a bug 2025-12-04T09:38:35.1838069Z 2025-12-04T09:38:35.1838362Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_overrides/test_overrides-3dca016ae6079711.xml - 2025-12-04T09:38:35.1838595Z ============ 1460 passed, 17 skipped, 1 rerun in 103.25s (0:01:43) ============= 2025-12-04T09:38:35.1838598Z 2025-12-04T09:38:35.1838809Z FINISHED PRINTING LOG FILE of test_overrides 1/1 (test/test-reports/test_overrides_1.1_7262e10478ef1a36_.log) 2025-12-04T09:38:35.1838812Z 2025-12-04T09:38:35.1838959Z Finished test_overrides 1/1 ... [2025-12-04 09:38:35.080230][2650.780029562], took 1.77min 2025-12-04T09:38:35.1839263Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_overrides/test_overrides-3dca016ae6079711.xml 2025-12-04T09:38:35.2622661Z Running test_privateuseone_python_backend 1/1 ... [2025-12-04 09:38:35.261732][2650.961533466] 2025-12-04T09:38:35.2622849Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:38:35.2623420Z Executing ['/opt/conda/envs/py_3.11/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 09:38:35.262005] 2025-12-04T09:38:38.2356956Z 2025-12-04T09:38:38.2358154Z 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_f9a03a6fa1931e40_.log 2025-12-04T09:38:38.2359593Z 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 2025-12-04T09:38:38.2360387Z 2025-12-04T09:38:38.2360780Z Finished test_privateuseone_python_backend 1/1 ... [2025-12-04 09:38:38.235268][2653.935072358], took 0.05min 2025-12-04T09:38:38.2371205Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_privateuseone_python_backend/test_privateuseone_python_backend-a3944ef774d861b6.xml 2025-12-04T09:38:38.2758907Z Running test_python_dispatch 1/1 ... [2025-12-04 09:38:38.275301][2653.975101107] 2025-12-04T09:38:38.2759255Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:38:38.2759900Z Executing ['/opt/conda/envs/py_3.11/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 09:38:38.275525] 2025-12-04T09:39:09.3328587Z 2025-12-04T09:39:09.3329322Z test_python_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_python_dispatch_1.1_123c19bd376ad2ca_.log 2025-12-04T09:39:09.3353229Z 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 2025-12-04T09:39:09.3375814Z 2025-12-04T09:39:09.3376043Z Finished test_python_dispatch 1/1 ... [2025-12-04 09:39:09.332774][2685.032570811], took 0.52min 2025-12-04T09:39:09.3376732Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_python_dispatch/test_python_dispatch-aca2b6b30a9c63a4.xml 2025-12-04T09:39:09.4044799Z Running test_reductions 1/2 ... [2025-12-04 09:39:09.403466][2685.103268793] 2025-12-04T09:39:09.4045180Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:39:09.4045811Z Executing ['/opt/conda/envs/py_3.11/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 09:39:09.403690] 2025-12-04T09:43:33.9817988Z 2025-12-04T09:43:33.9818699Z test_reductions 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_reductions_1.2_d9fca0838d83e7b8_.log 2025-12-04T09:43:34.0434150Z 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, 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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_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 2025-12-04T09:43:34.0857154Z 2025-12-04T09:43:34.0857354Z Finished test_reductions 1/2 ... [2025-12-04 09:43:34.001027][2949.700824021], took 4.41min 2025-12-04T09:43:34.0857934Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_reductions/test_reductions-b15319ca58f19cde.xml 2025-12-04T09:43:34.3491881Z Running test_reductions 2/2 ... [2025-12-04 09:43:34.348328][2950.048129087] 2025-12-04T09:43:34.3492252Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:43:34.3494461Z Executing ['/opt/conda/envs/py_3.11/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 09:43:34.349248] 2025-12-04T09:48:05.4042921Z 2025-12-04T09:48:05.4043628Z test_reductions 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_reductions_2.2_483bcbbb9ca446d0_.log 2025-12-04T09:48:05.4464385Z 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, 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test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_norm_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_norm_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_norm_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_prod_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_prod_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_prod_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_prod_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_prod_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_std_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_std_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_std_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_std_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_std_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_std_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_std_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_sum_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_sum_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_sum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_sum_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_sum_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_var_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_var_cpu_float16, 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 2025-12-04T09:48:05.4867711Z 2025-12-04T09:48:05.4867941Z Finished test_reductions 2/2 ... [2025-12-04 09:48:05.406199][3221.105997069], took 4.52min 2025-12-04T09:48:05.4868517Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_reductions/test_reductions-4f7385813a96e9aa.xml 2025-12-04T09:48:05.5308667Z Running test_show_pickle 1/1 ... [2025-12-04 09:48:05.530161][3221.229274694] 2025-12-04T09:48:05.5309020Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:48:05.5309679Z Executing ['/opt/conda/envs/py_3.11/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 09:48:05.530510] 2025-12-04T09:48:08.7556232Z 2025-12-04T09:48:08.7557128Z test_show_pickle 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_show_pickle_1.1_887582cafcac35b6_.log 2025-12-04T09:48:08.7557920Z Running 1 items in this shard: test/test_show_pickle.py::TestShowPickle::test_scripted_model 2025-12-04T09:48:08.7558256Z 2025-12-04T09:48:08.7559092Z Finished test_show_pickle 1/1 ... [2025-12-04 09:48:08.755118][3224.454922416], took 0.05min 2025-12-04T09:48:08.7573244Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_show_pickle/test_show_pickle-224106d437f3c046.xml 2025-12-04T09:48:08.8375802Z Running test_sort_and_select 1/1 ... [2025-12-04 09:48:08.836794][3224.536594904] 2025-12-04T09:48:08.8376225Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:48:08.8376865Z Executing ['/opt/conda/envs/py_3.11/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 09:48:08.837050] 2025-12-04T09:49:55.0079036Z 2025-12-04T09:49:55.0081754Z 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_c1929debae116ab8_.log 2025-12-04T09:49:55.0102248Z 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 2025-12-04T09:49:55.0122035Z 2025-12-04T09:49:55.0122239Z Finished test_sort_and_select 1/1 ... [2025-12-04 09:49:55.007183][3330.70698623], took 1.77min 2025-12-04T09:49:55.0122900Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_sort_and_select/test_sort_and_select-53e62a61cebe6074.xml 2025-12-04T09:49:55.0840830Z Running test_spectral_ops 1/1 ... [2025-12-04 09:49:55.082873][3330.781995915] 2025-12-04T09:49:55.0841195Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:49:55.0841782Z Executing ['/opt/conda/envs/py_3.11/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 09:49:55.083115] 2025-12-04T09:50:39.6652216Z 2025-12-04T09:50:39.6653288Z test_spectral_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_spectral_ops_1.1_0b918286389245c4_.log 2025-12-04T09:50:39.6738457Z 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, 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test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_hfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_ifftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_ifftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_ihfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_irfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_irfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_rfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_fftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_fftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_hfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_hfftn_cpu_float32, 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, test/test_spectral_ops.py::TestFFTCPU::test_fftn_round_trip_cpu_complex32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_round_trip_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_round_trip_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fftn_round_trip_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_round_trip_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_fftshift_frequencies_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftshift_frequencies_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_fftshift_numpy_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_fftshift_numpy_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftshift_numpy_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftshift_numpy_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_hfftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_hfftn_cpu_float32, 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 2025-12-04T09:50:39.6804753Z 2025-12-04T09:50:39.6804977Z Finished test_spectral_ops 1/1 ... [2025-12-04 09:50:39.665217][3375.365011318], took 0.74min 2025-12-04T09:50:39.6805722Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_spectral_ops/test_spectral_ops-818bc545510fe1b2.xml 2025-12-04T09:50:40.1679504Z Uploading artifacts took 0.41 seconds 2025-12-04T09:50:40.1680007Z Running test_tensor_creation_ops 1/1 ... [2025-12-04 09:50:40.167676][3375.867476302] 2025-12-04T09:50:40.1680387Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:50:40.1681968Z Executing ['/opt/conda/envs/py_3.11/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 09:50:40.168045] 2025-12-04T09:57:10.8169786Z 2025-12-04T09:57:10.8170604Z 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_ce832342b21a0c9f_.log 2025-12-04T09:57:10.8404154Z 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 2025-12-04T09:57:10.8555322Z 2025-12-04T09:57:10.8555576Z Finished test_tensor_creation_ops 1/1 ... [2025-12-04 09:57:10.818367][3766.518164573], took 6.51min 2025-12-04T09:57:10.8556200Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_tensor_creation_ops/test_tensor_creation_ops-471e8bfd8ef69c89.xml 2025-12-04T09:57:10.9150401Z Running test_tensorexpr 1/1 ... [2025-12-04 09:57:10.914291][3766.614092951] 2025-12-04T09:57:10.9150847Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:57:10.9151577Z Executing ['/opt/conda/envs/py_3.11/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 09:57:10.914568] 2025-12-04T09:57:13.2855478Z 2025-12-04T09:57:13.2856201Z test_tensorexpr 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorexpr_1.1_192ce75c1ccc8ba2_.log 2025-12-04T09:57:13.2868088Z 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 2025-12-04T09:57:13.2878372Z 2025-12-04T09:57:13.2878541Z Finished test_tensorexpr 1/1 ... [2025-12-04 09:57:13.285367][3768.98516872], took 0.04min 2025-12-04T09:57:13.2883109Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_tensorexpr/test_tensorexpr-8219a5ca641e2492.xml 2025-12-04T09:57:13.3210524Z Running test_torch 1/1 ... [2025-12-04 09:57:13.320506][3769.0203042] 2025-12-04T09:57:13.3210854Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:57:13.3211467Z Executing ['/opt/conda/envs/py_3.11/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 09:57:13.320725] 2025-12-04T10:04:02.9643200Z 2025-12-04T10:04:02.9643850Z test_torch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_torch_1.1_1e8e94eb86ad1112_.log 2025-12-04T10:04:02.9802428Z 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, 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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, 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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, 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test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_uint16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_uint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_uint64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_set_errors_multigpu_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_shape_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_type_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_ternary_op_mem_overlap_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_uniform_kstest_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_uniform_kstest_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_uniform_kstest_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_uniform_kstest_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_untyped_storage_meta_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_warn_always_caught_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_where_scalar_handcrafted_values_cpu 2025-12-04T10:04:02.9946692Z 2025-12-04T10:04:02.9946882Z Finished test_torch 1/1 ... [2025-12-04 10:04:02.966415][4178.666213467], took 6.83min 2025-12-04T10:04:02.9947409Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_torch/test_torch-d1a73d3045a0816e.xml 2025-12-04T10:04:03.1614327Z Running test_utils 1/1 ... [2025-12-04 10:04:03.160535][4178.860335431] 2025-12-04T10:04:03.1614752Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:04:03.1615393Z Executing ['/opt/conda/envs/py_3.11/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 10:04:03.160866] 2025-12-04T10:07:25.2523745Z 2025-12-04T10:07:25.2524463Z test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_utils_1.1_60a04a4f9fe9ff74_.log 2025-12-04T10:07:25.3634575Z Running 6049 items in this shard: test/test_utils.py::TestCheckpoint::test_checkpoint, test/test_utils.py::TestCheckpoint::test_checkpoint_module_list, test/test_utils.py::TestCheckpoint::test_checkpoint_no_tensors, test/test_utils.py::TestCheckpoint::test_checkpoint_non_tensor, test/test_utils.py::TestCheckpoint::test_checkpoint_non_tensor_inputs_outputs, test/test_utils.py::TestCheckpoint::test_checkpoint_not_preserve_rng_state_and_without_reentrant, test/test_utils.py::TestCheckpoint::test_checkpoint_partial_grad, test/test_utils.py::TestCheckpoint::test_checkpoint_rng_cpu, test/test_utils.py::TestCheckpoint::test_checkpoint_rng_gpu, test/test_utils.py::TestCheckpoint::test_checkpoint_sequential_deprecated_multiple_args, test/test_utils.py::TestCheckpoint::test_checkpoint_sequential_deprecated_no_args, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_valid, test/test_utils.py::TestCheckpoint::test_checkpointing_without_reentrant_early_free, test/test_utils.py::TestCheckpoint::test_get_device_states_recursive, test/test_utils.py::TestCheckpoint::test_infer_device_state_recursive_meta, test/test_utils.py::TestCheckpoint::test_infer_device_state_recursive_multi_gpu, test/test_utils.py::TestDataLoaderUtils::test_multi_drop, test/test_utils.py::TestDataLoaderUtils::test_multi_keep, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_single_drop, test/test_utils.py::TestDataLoaderUtils::test_single_keep, test/test_utils.py::TestCollectEnv::test_smoke, test/test_utils.py::TestHipify::test_import_hipify, test/test_utils.py::TestHipifyTrie::test_add_and_search_trie, test/test_utils.py::TestHipifyTrie::test_add_multiple_and_search_trie, test/test_utils.py::TestHipifyTrie::test_char_export_trie_to_regex, test/test_utils.py::TestHipifyTrie::test_export_trie_to_regex, test/test_utils.py::TestHipifyTrie::test_prefix_words_export_trie_to_regex, test/test_utils.py::TestHipifyTrie::test_quote_escape, test/test_utils.py::TestHipifyTrie::test_single_export_trie_to_regex, test/test_utils.py::TestHipifyTrie::test_special_char_export_trie_to_regex, test/test_utils.py::TestAssert::test_assert_scriptable, test/test_utils.py::TestAssert::test_assert_true, test/test_utils.py::TestStandaloneCPPJIT::test_load_standalone, test/test_utils.py::TestRenderUtils::test_basic, test/test_utils.py::TestDeviceUtilsCPU::test_basic_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_decorator_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_decorator_generator_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rand___cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rand___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rand___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rand___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rand___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rand___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_float16, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__batch_norm_with_update_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__batch_norm_with_update_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__batch_norm_with_update_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_float64, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_lengths_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_lengths_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_lengths_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_offsets_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_offsets_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_offsets_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_offsets_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__softmax_backward_data_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__softmax_backward_data_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__softmax_backward_data_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__softmax_backward_data_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__upsample_bilinear2d_aa_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__upsample_bilinear2d_aa_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__upsample_bilinear2d_aa_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_int16, 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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, 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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, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_uint16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_uint32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histc_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histc_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histogram_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histogram_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histogramdd_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histogramdd_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hypot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hypot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hypot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hypot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igamma_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igamma_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igamma_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igamma_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igammac_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igammac_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igammac_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igammac_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_imag_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_imag_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_imag_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_int64, 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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, 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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, 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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, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_bfloat16, 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, 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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, 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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, 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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, 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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, 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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 2025-12-04T10:07:25.4643033Z 2025-12-04T10:07:25.4643248Z Finished test_utils 1/1 ... [2025-12-04 10:07:25.263032][4380.962829133], took 3.37min 2025-12-04T10:07:25.4643826Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_utils/test_utils-027c7751bf16b9a2.xml 2025-12-04T10:07:25.5947526Z Running cpp_extensions/python_agnostic_extension/test/test_python_agnostic 1/1 ... [2025-12-04 10:07:25.594233][4381.293460644] 2025-12-04T10:07:25.5948027Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:07:25.5948803Z Executing ['/opt/conda/envs/py_3.11/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 10:07:25.594664] 2025-12-04T10:07:27.9054044Z 2025-12-04T10:07:27.9055766Z 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_533235dc99c8f2f2_.log 2025-12-04T10:07:27.9056888Z Running 0 items in this shard: 2025-12-04T10:07:27.9057096Z 2025-12-04T10:07:27.9057510Z Finished cpp_extensions/python_agnostic_extension/test/test_python_agnostic 1/1 ... [2025-12-04 10:07:27.904831][4383.604634927], took 0.04min 2025-12-04T10:07:27.9082829Z 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-be234f35962a1791.xml 2025-12-04T10:07:27.9363590Z Running dynamo/test_aot_autograd 1/1 ... [2025-12-04 10:07:27.935560][4383.634807711] 2025-12-04T10:07:27.9363979Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:07:27.9364658Z Executing ['/opt/conda/envs/py_3.11/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 10:07:27.935781] 2025-12-04T10:07:30.2758858Z 2025-12-04T10:07:30.2760114Z 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_d627449b3353c44c_.log 2025-12-04T10:07:30.2760611Z 2025-12-04T10:07:30.2760801Z Finished dynamo/test_aot_autograd 1/1 ... [2025-12-04 10:07:30.274994][4385.974797876], took 0.04min 2025-12-04T10:07:30.2777035Z Running dynamo/test_autograd_function 1/1 ... [2025-12-04 10:07:30.277451][4385.977257664] 2025-12-04T10:07:30.2777447Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:07:30.2778332Z Executing ['/opt/conda/envs/py_3.11/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 10:07:30.277658] 2025-12-04T10:07:39.7757150Z 2025-12-04T10:07:39.7759476Z 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_fce947302a920f5f_.log 2025-12-04T10:07:39.7759931Z 2025-12-04T10:07:39.7760137Z Finished dynamo/test_autograd_function 1/1 ... [2025-12-04 10:07:39.774750][4395.474554869], took 0.16min 2025-12-04T10:07:39.7787389Z Running dynamo/test_base_hop 1/1 ... [2025-12-04 10:07:39.778448][4395.477632807] 2025-12-04T10:07:39.7787775Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:07:39.7789054Z Executing ['/opt/conda/envs/py_3.11/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 10:07:39.778723] 2025-12-04T10:07:42.0807999Z 2025-12-04T10:07:42.0809293Z 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_ab1a533cd2c3a3ba_.log 2025-12-04T10:07:42.0809981Z 2025-12-04T10:07:42.0810285Z Finished dynamo/test_base_hop 1/1 ... [2025-12-04 10:07:42.079958][4397.77976096], took 0.04min 2025-12-04T10:07:42.0832829Z Running dynamo/test_bytecode_utils 1/1 ... [2025-12-04 10:07:42.082713][4397.782518682] 2025-12-04T10:07:42.0833227Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:07:42.0833865Z Executing ['/opt/conda/envs/py_3.11/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 10:07:42.082937] 2025-12-04T10:07:44.4390239Z 2025-12-04T10:07:44.4391043Z 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_8d4781481472d3a3_.log 2025-12-04T10:07:44.4391464Z 2025-12-04T10:07:44.4391675Z Finished dynamo/test_bytecode_utils 1/1 ... [2025-12-04 10:07:44.438510][4400.138312853], took 0.04min 2025-12-04T10:07:44.4417436Z Running dynamo/test_compiler_bisector 1/1 ... [2025-12-04 10:07:44.441207][4400.141011838] 2025-12-04T10:07:44.4417951Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:07:44.4418746Z Executing ['/opt/conda/envs/py_3.11/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 10:07:44.441440] 2025-12-04T10:07:53.7396175Z 2025-12-04T10:07:53.7396906Z 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_0866134e529cbe34_.log 2025-12-04T10:07:53.7397325Z 2025-12-04T10:07:53.7397572Z Finished dynamo/test_compiler_bisector 1/1 ... [2025-12-04 10:07:53.739205][4409.439009281], took 0.15min 2025-12-04T10:07:53.7426146Z Running dynamo/test_ctx_manager 1/1 ... [2025-12-04 10:07:53.742313][4409.441533261] 2025-12-04T10:07:53.7426608Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:07:53.7428527Z Executing ['/opt/conda/envs/py_3.11/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 10:07:53.742582] 2025-12-04T10:08:03.0601859Z 2025-12-04T10:08:03.0602997Z 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_c83a1ba14e519a2e_.log 2025-12-04T10:08:03.0603427Z 2025-12-04T10:08:03.0603613Z Finished dynamo/test_ctx_manager 1/1 ... [2025-12-04 10:08:03.059756][4418.759559736], took 0.16min 2025-12-04T10:08:03.0633059Z Running dynamo/test_debug_utils 1/1 ... [2025-12-04 10:08:03.062387][4418.762192688] 2025-12-04T10:08:03.0633515Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:08:03.0634168Z Executing ['/opt/conda/envs/py_3.11/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 10:08:03.062611] 2025-12-04T10:08:05.4151604Z 2025-12-04T10:08:05.4152685Z 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_6fad36a1a12ff437_.log 2025-12-04T10:08:05.4153397Z 2025-12-04T10:08:05.4153676Z Finished dynamo/test_debug_utils 1/1 ... [2025-12-04 10:08:05.414547][4421.114350784], took 0.04min 2025-12-04T10:08:05.4173045Z Running dynamo/test_deviceguard 1/1 ... [2025-12-04 10:08:05.417120][4421.116926444] 2025-12-04T10:08:05.4173392Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:08:05.4175699Z Executing ['/opt/conda/envs/py_3.11/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 10:08:05.417342] 2025-12-04T10:08:07.7323233Z 2025-12-04T10:08:07.7323988Z dynamo/test_deviceguard 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_deviceguard_1.1_2a6d66be45d20b43_.log 2025-12-04T10:08:07.7324398Z 2025-12-04T10:08:07.7324606Z Finished dynamo/test_deviceguard 1/1 ... [2025-12-04 10:08:07.731472][4423.431275315], took 0.04min 2025-12-04T10:08:07.7348004Z Running dynamo/test_einops 1/1 ... [2025-12-04 10:08:07.733960][4423.433766883] 2025-12-04T10:08:07.7348338Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:08:07.7348991Z Executing ['/opt/conda/envs/py_3.11/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 10:08:07.734213] 2025-12-04T10:08:09.9421783Z 2025-12-04T10:08:09.9422889Z dynamo/test_einops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_einops_1.1_153c4e746d9d80d4_.log 2025-12-04T10:08:09.9423536Z 2025-12-04T10:08:09.9423865Z Finished dynamo/test_einops 1/1 ... [2025-12-04 10:08:09.941511][4425.641314821], took 0.04min 2025-12-04T10:08:09.9443684Z Running dynamo/test_exceptions 1/1 ... [2025-12-04 10:08:09.944173][4425.643971837] 2025-12-04T10:08:09.9444232Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:08:09.9446883Z Executing ['/opt/conda/envs/py_3.11/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 10:08:09.944417] 2025-12-04T10:08:12.3274858Z 2025-12-04T10:08:12.3275609Z dynamo/test_exceptions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_exceptions_1.1_275a51f6b7579a27_.log 2025-12-04T10:08:12.3276016Z 2025-12-04T10:08:12.3276470Z Finished dynamo/test_exceptions 1/1 ... [2025-12-04 10:08:12.327106][4428.026910124], took 0.04min 2025-12-04T10:08:12.3307030Z Running dynamo/test_flat_apply 1/1 ... [2025-12-04 10:08:12.330295][4428.030098644] 2025-12-04T10:08:12.3307695Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:08:12.3308353Z Executing ['/opt/conda/envs/py_3.11/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 10:08:12.330527] 2025-12-04T10:08:14.6873307Z 2025-12-04T10:08:14.6877666Z 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_ad5e8a3b05ae6286_.log 2025-12-04T10:08:14.6878101Z 2025-12-04T10:08:14.6878297Z Finished dynamo/test_flat_apply 1/1 ... [2025-12-04 10:08:14.686400][4430.386203736], took 0.04min 2025-12-04T10:08:14.6904180Z Running dynamo/test_fx_annotate 1/1 ... [2025-12-04 10:08:14.690152][4430.389388913] 2025-12-04T10:08:14.6904590Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:08:14.6905986Z Executing ['/opt/conda/envs/py_3.11/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 10:08:14.690433] 2025-12-04T10:08:24.1527723Z 2025-12-04T10:08:24.1528532Z 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_b30c0f61faa5920c_.log 2025-12-04T10:08:24.1528981Z 2025-12-04T10:08:24.1529501Z Finished dynamo/test_fx_annotate 1/1 ... [2025-12-04 10:08:24.152329][4439.852132296], took 0.16min 2025-12-04T10:08:24.1553134Z Running dynamo/test_generator 1/1 ... [2025-12-04 10:08:24.154958][4439.854763626] 2025-12-04T10:08:24.1553562Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:08:24.1555651Z Executing ['/opt/conda/envs/py_3.11/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 10:08:24.155195] 2025-12-04T10:08:26.5327156Z 2025-12-04T10:08:26.5330591Z dynamo/test_generator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_generator_1.1_b9b756c66fd2a663_.log 2025-12-04T10:08:26.5331040Z 2025-12-04T10:08:26.5331250Z Finished dynamo/test_generator 1/1 ... [2025-12-04 10:08:26.531639][4442.231442795], took 0.04min 2025-12-04T10:08:26.5344578Z Running dynamo/test_graph_region_tracker 1/1 ... [2025-12-04 10:08:26.534210][4442.234015837] 2025-12-04T10:08:26.5345056Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:08:26.5346372Z Executing ['/opt/conda/envs/py_3.11/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 10:08:26.534458] 2025-12-04T10:08:28.8217503Z 2025-12-04T10:08:28.8218389Z 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_b734861b30fd6748_.log 2025-12-04T10:08:28.8219163Z 2025-12-04T10:08:28.8219358Z Finished dynamo/test_graph_region_tracker 1/1 ... [2025-12-04 10:08:28.821256][4444.521059281], took 0.04min 2025-12-04T10:08:28.8249783Z Running dynamo/test_higher_order_ops 1/1 ... [2025-12-04 10:08:28.824539][4444.523660344] 2025-12-04T10:08:28.8250258Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:08:28.8254123Z Executing ['/opt/conda/envs/py_3.11/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 10:08:28.824761] 2025-12-04T10:08:38.7121368Z 2025-12-04T10:08:38.7122148Z 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_966380f7ba13720b_.log 2025-12-04T10:08:38.7122641Z 2025-12-04T10:08:38.7122825Z Finished dynamo/test_higher_order_ops 1/1 ... [2025-12-04 10:08:38.711724][4454.411526947], took 0.16min 2025-12-04T10:08:38.7147465Z Running dynamo/test_input_attr_tracking 1/1 ... [2025-12-04 10:08:38.714334][4454.414140311] 2025-12-04T10:08:38.7147820Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:08:38.7148475Z Executing ['/opt/conda/envs/py_3.11/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 10:08:38.714578] 2025-12-04T10:08:41.0787175Z 2025-12-04T10:08:41.0788127Z 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_c25045de863d6d92_.log 2025-12-04T10:08:41.0788572Z 2025-12-04T10:08:41.0788777Z Finished dynamo/test_input_attr_tracking 1/1 ... [2025-12-04 10:08:41.078302][4456.778105688], took 0.04min 2025-12-04T10:08:41.0815712Z Running dynamo/test_list 1/1 ... [2025-12-04 10:08:41.080844][4456.780650168] 2025-12-04T10:08:41.0816117Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:08:41.0817053Z Executing ['/opt/conda/envs/py_3.11/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 10:08:41.081053] 2025-12-04T10:08:43.4579055Z 2025-12-04T10:08:43.4579964Z dynamo/test_list 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_list_1.1_5364c5f0c873dcfb_.log 2025-12-04T10:08:43.4580580Z 2025-12-04T10:08:43.4580815Z Finished dynamo/test_list 1/1 ... [2025-12-04 10:08:43.457322][4459.157126219], took 0.04min 2025-12-04T10:08:43.4600888Z Running dynamo/test_minifier 1/1 ... [2025-12-04 10:08:43.459933][4459.159706031] 2025-12-04T10:08:43.4601257Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:08:43.4603341Z Executing ['/opt/conda/envs/py_3.11/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 10:08:43.460168] 2025-12-04T10:08:45.6167337Z 2025-12-04T10:08:45.6168268Z dynamo/test_minifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_minifier_1.1_274739705b487971_.log 2025-12-04T10:08:45.6168722Z 2025-12-04T10:08:45.6168926Z Finished dynamo/test_minifier 1/1 ... [2025-12-04 10:08:45.616134][4461.315937984], took 0.04min 2025-12-04T10:08:45.6189391Z Running dynamo/test_modes 1/1 ... [2025-12-04 10:08:45.618743][4461.318548667] 2025-12-04T10:08:45.6189761Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:08:45.6191400Z Executing ['/opt/conda/envs/py_3.11/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 10:08:45.618987] 2025-12-04T10:08:54.9193104Z 2025-12-04T10:08:54.9193815Z dynamo/test_modes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_modes_1.1_44e6e4fd0efc1390_.log 2025-12-04T10:08:54.9194224Z 2025-12-04T10:08:54.9194442Z Finished dynamo/test_modes 1/1 ... [2025-12-04 10:08:54.918880][4470.618683661], took 0.16min 2025-12-04T10:08:54.9221045Z Running dynamo/test_nops 1/1 ... [2025-12-04 10:08:54.921471][4470.621276247] 2025-12-04T10:08:54.9221405Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:08:54.9222350Z Executing ['/opt/conda/envs/py_3.11/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 10:08:54.921688] 2025-12-04T10:08:57.2832568Z 2025-12-04T10:08:57.2833538Z dynamo/test_nops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_nops_1.1_4f0724a91bf41859_.log 2025-12-04T10:08:57.2834151Z 2025-12-04T10:08:57.2854090Z Finished dynamo/test_nops 1/1 ... [2025-12-04 10:08:57.282457][4472.982260375], took 0.04min 2025-12-04T10:08:57.2865196Z Running dynamo/test_pgo 1/1 ... [2025-12-04 10:08:57.286255][4472.985513228] 2025-12-04T10:08:57.2865761Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:08:57.2868260Z Executing ['/opt/conda/envs/py_3.11/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 10:08:57.286579] 2025-12-04T10:08:59.6478141Z 2025-12-04T10:08:59.6479157Z dynamo/test_pgo 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_pgo_1.1_f45afab13b0ac587_.log 2025-12-04T10:08:59.6479738Z 2025-12-04T10:08:59.6479995Z Finished dynamo/test_pgo 1/1 ... [2025-12-04 10:08:59.647098][4475.346901357], took 0.04min 2025-12-04T10:08:59.6502318Z Running dynamo/test_profiler 1/1 ... [2025-12-04 10:08:59.649834][4475.349638988] 2025-12-04T10:08:59.6502911Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:08:59.6504137Z Executing ['/opt/conda/envs/py_3.11/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 10:08:59.650085] 2025-12-04T10:09:02.0416477Z 2025-12-04T10:09:02.0417483Z dynamo/test_profiler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_profiler_1.1_2bf6e17078719059_.log 2025-12-04T10:09:02.0418130Z 2025-12-04T10:09:02.0418429Z Finished dynamo/test_profiler 1/1 ... [2025-12-04 10:09:02.040794][4477.740597599], took 0.04min 2025-12-04T10:09:02.0436714Z Running dynamo/test_recompile_ux 1/1 ... [2025-12-04 10:09:02.043489][4477.743294453] 2025-12-04T10:09:02.0444975Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:09:02.0448109Z Executing ['/opt/conda/envs/py_3.11/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 10:09:02.044635] 2025-12-04T10:09:04.3699452Z 2025-12-04T10:09:04.3700292Z 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_7d278d4ad723a9b8_.log 2025-12-04T10:09:04.3700738Z 2025-12-04T10:09:04.3701001Z Finished dynamo/test_recompile_ux 1/1 ... [2025-12-04 10:09:04.369533][4480.069336857], took 0.04min 2025-12-04T10:09:04.3724270Z Running dynamo/test_regional_inductor 1/1 ... [2025-12-04 10:09:04.372231][4480.072028443] 2025-12-04T10:09:04.3724605Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:09:04.3728392Z Executing ['/opt/conda/envs/py_3.11/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 10:09:04.372495] 2025-12-04T10:09:13.7225388Z 2025-12-04T10:09:13.7226272Z 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_70d294cfa1160355_.log 2025-12-04T10:09:13.7226690Z 2025-12-04T10:09:13.7226880Z Finished dynamo/test_regional_inductor 1/1 ... [2025-12-04 10:09:13.721652][4489.421455854], took 0.16min 2025-12-04T10:09:13.7250038Z Running dynamo/test_resume 1/1 ... [2025-12-04 10:09:13.724223][4489.424028923] 2025-12-04T10:09:13.7250447Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:09:13.7251060Z Executing ['/opt/conda/envs/py_3.11/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 10:09:13.724446] 2025-12-04T10:09:15.9224911Z 2025-12-04T10:09:15.9225709Z dynamo/test_resume 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_resume_1.1_7286f22d15866b33_.log 2025-12-04T10:09:15.9226092Z 2025-12-04T10:09:15.9226287Z Finished dynamo/test_resume 1/1 ... [2025-12-04 10:09:15.921790][4491.621593956], took 0.04min 2025-12-04T10:09:15.9249258Z Running dynamo/test_skip_guard_eval_unsafe 1/1 ... [2025-12-04 10:09:15.924425][4491.624230767] 2025-12-04T10:09:15.9249610Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:09:15.9250248Z Executing ['/opt/conda/envs/py_3.11/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 10:09:15.924643] 2025-12-04T10:09:18.3090497Z 2025-12-04T10:09:18.3091294Z 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_43c38304d46c03e3_.log 2025-12-04T10:09:18.3091739Z 2025-12-04T10:09:18.3092234Z Finished dynamo/test_skip_guard_eval_unsafe 1/1 ... [2025-12-04 10:09:18.308636][4494.008439458], took 0.04min 2025-12-04T10:09:18.3118543Z Running dynamo/test_streams 1/1 ... [2025-12-04 10:09:18.311328][4494.011125866] 2025-12-04T10:09:18.3119007Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:09:18.3119658Z Executing ['/opt/conda/envs/py_3.11/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 10:09:18.311549] 2025-12-04T10:09:20.7162820Z 2025-12-04T10:09:20.7164744Z dynamo/test_streams 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_streams_1.1_85c5886d42590852_.log 2025-12-04T10:09:20.7165217Z 2025-12-04T10:09:20.7165403Z Finished dynamo/test_streams 1/1 ... [2025-12-04 10:09:20.715107][4496.414910027], took 0.04min 2025-12-04T10:09:20.7178147Z Running dynamo/test_subgraphs 1/1 ... [2025-12-04 10:09:20.717647][4496.417453124] 2025-12-04T10:09:20.7178445Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:09:20.7180502Z Executing ['/opt/conda/envs/py_3.11/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 10:09:20.717887] 2025-12-04T10:09:23.1038405Z 2025-12-04T10:09:23.1039121Z dynamo/test_subgraphs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_subgraphs_1.1_1b9a4532bedebf30_.log 2025-12-04T10:09:23.1039513Z 2025-12-04T10:09:23.1039686Z Finished dynamo/test_subgraphs 1/1 ... [2025-12-04 10:09:23.103337][4498.803141007], took 0.04min 2025-12-04T10:09:23.1061826Z Running dynamo/test_unittest 1/1 ... [2025-12-04 10:09:23.105964][4498.805769678] 2025-12-04T10:09:23.1062116Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:09:23.1065099Z Executing ['/opt/conda/envs/py_3.11/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 10:09:23.106229] 2025-12-04T10:09:25.4358723Z 2025-12-04T10:09:25.4359917Z dynamo/test_unittest 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_unittest_1.1_f7f0b3c5db632a25_.log 2025-12-04T10:09:25.4360357Z 2025-12-04T10:09:25.4360542Z Finished dynamo/test_unittest 1/1 ... [2025-12-04 10:09:25.434996][4501.13479976], took 0.04min 2025-12-04T10:09:25.4377350Z Running dynamo/test_verify_correctness 1/1 ... [2025-12-04 10:09:25.437587][4501.13738459] 2025-12-04T10:09:25.4377648Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:09:25.4379942Z Executing ['/opt/conda/envs/py_3.11/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 10:09:25.437835] 2025-12-04T10:09:27.7556767Z 2025-12-04T10:09:27.7557536Z 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_235089548ba8859b_.log 2025-12-04T10:09:27.7558084Z 2025-12-04T10:09:27.7558351Z Finished dynamo/test_verify_correctness 1/1 ... [2025-12-04 10:09:27.754929][4503.454733309], took 0.04min 2025-12-04T10:09:27.7576303Z Running functorch/test_ac 1/1 ... [2025-12-04 10:09:27.757480][4503.45728592] 2025-12-04T10:09:27.7576677Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:09:27.7578898Z Executing ['/opt/conda/envs/py_3.11/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 10:09:27.757722] 2025-12-04T10:09:37.1150118Z 2025-12-04T10:09:37.1151207Z functorch/test_ac 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ac_1.1_553b33d9cb2eff23_.log 2025-12-04T10:09:37.1151578Z 2025-12-04T10:09:37.1151747Z Finished functorch/test_ac 1/1 ... [2025-12-04 10:09:37.113990][4512.813794724], took 0.16min 2025-12-04T10:09:37.1174719Z Running optim/test_optim 1/1 ... [2025-12-04 10:09:37.117315][4512.81645557] 2025-12-04T10:09:37.1175011Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:09:37.1176861Z Executing ['/opt/conda/envs/py_3.11/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 10:09:37.117558] 2025-12-04T10:09:39.2811543Z 2025-12-04T10:09:39.2812260Z optim/test_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_optim_1.1_962f90923b461330_.log 2025-12-04T10:09:39.2812625Z 2025-12-04T10:09:39.2812825Z Finished optim/test_optim 1/1 ... [2025-12-04 10:09:39.280765][4514.980568637], took 0.04min 2025-12-04T10:09:39.2839484Z Running test_appending_byte_serializer 1/1 ... [2025-12-04 10:09:39.283397][4514.983202464] 2025-12-04T10:09:39.2839820Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:09:39.2840475Z Executing ['/opt/conda/envs/py_3.11/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 10:09:39.283618] 2025-12-04T10:09:41.5313617Z 2025-12-04T10:09:41.5314969Z 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_f29aae9e73116b4a_.log 2025-12-04T10:09:41.5315715Z 2025-12-04T10:09:41.5316036Z Finished test_appending_byte_serializer 1/1 ... [2025-12-04 10:09:41.530499][4517.230303242], took 0.04min 2025-12-04T10:09:41.5333127Z Running test_cuda_sanitizer 1/1 ... [2025-12-04 10:09:41.533131][4517.232936522] 2025-12-04T10:09:41.5333504Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:09:41.5335556Z Executing ['/opt/conda/envs/py_3.11/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 10:09:41.533371] 2025-12-04T10:09:43.8027914Z 2025-12-04T10:09:43.8028571Z test_cuda_sanitizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_sanitizer_1.1_dab37cee24ac5c1e_.log 2025-12-04T10:09:43.8029060Z Running 0 items in this shard: 2025-12-04T10:09:43.8029186Z 2025-12-04T10:09:43.8029361Z Finished test_cuda_sanitizer 1/1 ... [2025-12-04 10:09:43.802332][4519.502134802], took 0.04min 2025-12-04T10:09:43.8049301Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cuda_sanitizer/test_cuda_sanitizer-e2b8ce47ef555d71.xml 2025-12-04T10:09:43.8764210Z Running test_opaque_obj_v2 1/1 ... [2025-12-04 10:09:43.875808][4519.575610436] 2025-12-04T10:09:43.8764549Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:09:43.8765177Z Executing ['/opt/conda/envs/py_3.11/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 10:09:43.876051] 2025-12-04T10:09:46.2964579Z 2025-12-04T10:09:46.2965286Z 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_b4cf3e32f70aa4fe_.log 2025-12-04T10:09:46.2965703Z 2025-12-04T10:09:46.2965868Z Finished test_opaque_obj_v2 1/1 ... [2025-12-04 10:09:46.296107][4521.995907947], took 0.04min 2025-12-04T10:09:46.2990958Z Running test_unary_ufuncs 2/2 ... [2025-12-04 10:09:46.298865][4521.998670826] 2025-12-04T10:09:46.2992124Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:09:46.2992947Z Executing ['/opt/conda/envs/py_3.11/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 10:09:46.299097] 2025-12-04T10:09:52.8850434Z 2025-12-04T10:09:52.8851118Z test_unary_ufuncs 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_unary_ufuncs_2.2_2cd6125790955f67_.log 2025-12-04T10:09:52.8851559Z Running 0 items in this shard: 2025-12-04T10:09:52.8851745Z 2025-12-04T10:09:52.8851968Z Finished test_unary_ufuncs 2/2 ... [2025-12-04 10:09:52.884381][4528.584185725], took 0.11min 2025-12-04T10:09:52.8873668Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_unary_ufuncs/test_unary_ufuncs-2e4290d1f650fbb8.xml 2025-12-04T10:09:52.9558438Z Running xpu/test_conv 1/1 ... [2025-12-04 10:09:52.955190][4528.654296562] 2025-12-04T10:09:52.9558813Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:09:52.9559524Z Executing ['/opt/conda/envs/py_3.11/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 10:09:52.955415] 2025-12-04T10:09:55.5696596Z 2025-12-04T10:09:55.5697267Z xpu/test_conv 1/1 was successful, full logs can be found in artifacts with path test/test-reports/xpu.test_conv_1.1_0b2685d116206e01_.log 2025-12-04T10:09:55.5698004Z Running 0 items in this shard: 2025-12-04T10:09:55.5698135Z 2025-12-04T10:09:55.5698285Z Finished xpu/test_conv 1/1 ... [2025-12-04 10:09:55.569163][4531.26896738], took 0.04min 2025-12-04T10:09:55.5739958Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/xpu.test_conv/xpu.test_conv-9996fd3b41275099.xml 2025-12-04T10:09:57.8601838Z Running cpp_extensions/python_agnostic_extension/test/test_python_agnostic 1/1 ... [2025-12-04 10:09:57.859593][4533.559393048] 2025-12-04T10:09:57.8602571Z Running dynamo/test_aot_autograd 1/1 ... [2025-12-04 10:09:57.859611][4533.559413824] 2025-12-04T10:09:57.8603045Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:09:57.8603253Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:09:57.8603578Z Running dynamo/test_autograd_function 1/1 ... [2025-12-04 10:09:57.859661][4533.559463238] 2025-12-04T10:09:57.8603845Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:09:57.8604446Z Executing ['/opt/conda/envs/py_3.11/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 10:09:57.859929] 2025-12-04T10:09:57.8605488Z Executing ['/opt/conda/envs/py_3.11/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 10:09:57.859978] 2025-12-04T10:09:57.8606653Z Executing ['/opt/conda/envs/py_3.11/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 10:09:57.860028] 2025-12-04T10:10:00.3674125Z 2025-12-04T10:10:00.3675567Z 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_9df1705ab2f8751b_.log 2025-12-04T10:10:00.3677032Z Running 0 items in this shard: 2025-12-04T10:10:00.3677235Z 2025-12-04T10:10:00.3678039Z Finished cpp_extensions/python_agnostic_extension/test/test_python_agnostic 1/1 ... [2025-12-04 10:10:00.367196][4536.066999555], took 0.04min 2025-12-04T10:10:00.3721503Z 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-42653b5a851dade5.xml 2025-12-04T10:10:00.4440778Z 2025-12-04T10:10:00.4441731Z 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_bbf8258378467589_.log 2025-12-04T10:10:00.4442268Z 2025-12-04T10:10:00.4442569Z Finished dynamo/test_aot_autograd 1/1 ... [2025-12-04 10:10:00.443643][4536.143445559], took 0.04min 2025-12-04T10:10:02.9054574Z Running dynamo/test_base_hop 1/1 ... [2025-12-04 10:10:02.904981][4538.604780584] 2025-12-04T10:10:02.9055084Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:10:02.9058701Z Executing ['/opt/conda/envs/py_3.11/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 10:10:02.905599] 2025-12-04T10:10:03.1237029Z Running dynamo/test_bytecode_utils 1/1 ... [2025-12-04 10:10:03.123030][4538.82283198] 2025-12-04T10:10:03.1237593Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:10:03.1238638Z Executing ['/opt/conda/envs/py_3.11/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 10:10:03.123354] 2025-12-04T10:10:05.5622727Z 2025-12-04T10:10:05.5623715Z 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_8414589be9e4dcfd_.log 2025-12-04T10:10:05.5624283Z 2025-12-04T10:10:05.5624556Z Finished dynamo/test_base_hop 1/1 ... [2025-12-04 10:10:05.561853][4541.261655837], took 0.04min 2025-12-04T10:10:05.7393999Z 2025-12-04T10:10:05.7395074Z 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_ba239247f39a26d6_.log 2025-12-04T10:10:05.7395490Z 2025-12-04T10:10:05.7395726Z Finished dynamo/test_bytecode_utils 1/1 ... [2025-12-04 10:10:05.738993][4541.438797465], took 0.04min 2025-12-04T10:10:08.0240421Z 2025-12-04T10:10:08.0241795Z 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_a3d7e650297ddb6f_.log 2025-12-04T10:10:08.0242899Z 2025-12-04T10:10:08.0243355Z Finished dynamo/test_autograd_function 1/1 ... [2025-12-04 10:10:08.023386][4543.72318832], took 0.17min 2025-12-04T10:10:08.1194922Z Running dynamo/test_compiler_bisector 1/1 ... [2025-12-04 10:10:08.118970][4543.818771703] 2025-12-04T10:10:08.1195343Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:10:08.1196001Z Executing ['/opt/conda/envs/py_3.11/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 10:10:08.119280] 2025-12-04T10:10:08.2491679Z Running dynamo/test_ctx_manager 1/1 ... [2025-12-04 10:10:08.248741][4543.948543042] 2025-12-04T10:10:08.2492061Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:10:08.2493451Z Executing ['/opt/conda/envs/py_3.11/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 10:10:08.249129] 2025-12-04T10:10:10.5051377Z Running dynamo/test_debug_utils 1/1 ... [2025-12-04 10:10:10.504713][4546.204516132] 2025-12-04T10:10:10.5052133Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:10:10.5052839Z Executing ['/opt/conda/envs/py_3.11/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 10:10:10.505072] 2025-12-04T10:10:13.1276857Z 2025-12-04T10:10:13.1277812Z 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_0925e65b21dc5174_.log 2025-12-04T10:10:13.1278424Z 2025-12-04T10:10:13.1278714Z Finished dynamo/test_debug_utils 1/1 ... [2025-12-04 10:10:13.127251][4548.827055474], took 0.04min 2025-12-04T10:10:15.7659418Z Running dynamo/test_deviceguard 1/1 ... [2025-12-04 10:10:15.765338][4551.465139997] 2025-12-04T10:10:15.7659947Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:10:15.7666066Z Executing ['/opt/conda/envs/py_3.11/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 10:10:15.765727] 2025-12-04T10:10:18.3521574Z 2025-12-04T10:10:18.3522432Z dynamo/test_deviceguard 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_deviceguard_1.1_1aeb2f458b4ff37c_.log 2025-12-04T10:10:18.3522846Z 2025-12-04T10:10:18.3523035Z Finished dynamo/test_deviceguard 1/1 ... [2025-12-04 10:10:18.351762][4554.051563803], took 0.04min 2025-12-04T10:10:18.4361630Z 2025-12-04T10:10:18.4363038Z 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_fbaef3ceca3b3cd6_.log 2025-12-04T10:10:18.4363704Z 2025-12-04T10:10:18.4364017Z Finished dynamo/test_compiler_bisector 1/1 ... [2025-12-04 10:10:18.435705][4554.135509229], took 0.17min 2025-12-04T10:10:19.6417512Z 2025-12-04T10:10:19.6418325Z 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_a5cd5e3e95e8631c_.log 2025-12-04T10:10:19.6418803Z 2025-12-04T10:10:19.6419300Z Finished dynamo/test_ctx_manager 1/1 ... [2025-12-04 10:10:19.641189][4555.340992442], took 0.19min 2025-12-04T10:10:20.9278504Z Running dynamo/test_einops 1/1 ... [2025-12-04 10:10:20.927265][4556.627067697] 2025-12-04T10:10:20.9278917Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:10:20.9279631Z Executing ['/opt/conda/envs/py_3.11/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 10:10:20.927597] 2025-12-04T10:10:20.9292622Z Running dynamo/test_exceptions 1/1 ... [2025-12-04 10:10:20.928942][4556.62874436] 2025-12-04T10:10:20.9293250Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:10:20.9295852Z Executing ['/opt/conda/envs/py_3.11/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 10:10:20.929251] 2025-12-04T10:10:22.1726191Z Running dynamo/test_flat_apply 1/1 ... [2025-12-04 10:10:22.172137][4557.871938718] 2025-12-04T10:10:22.1726678Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:10:22.1727312Z Executing ['/opt/conda/envs/py_3.11/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 10:10:22.172495] 2025-12-04T10:10:23.2520304Z 2025-12-04T10:10:23.2521727Z dynamo/test_einops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_einops_1.1_92848143610e6fb8_.log 2025-12-04T10:10:23.2522309Z 2025-12-04T10:10:23.2522543Z Finished dynamo/test_einops 1/1 ... [2025-12-04 10:10:23.251590][4558.951394284], took 0.04min 2025-12-04T10:10:23.4887858Z 2025-12-04T10:10:23.4888867Z dynamo/test_exceptions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_exceptions_1.1_134e4b7ea6748fe6_.log 2025-12-04T10:10:23.4889475Z 2025-12-04T10:10:23.4889739Z Finished dynamo/test_exceptions 1/1 ... [2025-12-04 10:10:23.488313][4559.188117062], took 0.04min 2025-12-04T10:10:24.8030423Z 2025-12-04T10:10:24.8031676Z 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_d7f375a7e29f1078_.log 2025-12-04T10:10:24.8032392Z 2025-12-04T10:10:24.8032681Z Finished dynamo/test_flat_apply 1/1 ... [2025-12-04 10:10:24.802667][4560.502470789], took 0.04min 2025-12-04T10:10:25.8268988Z Running dynamo/test_fx_annotate 1/1 ... [2025-12-04 10:10:25.826446][4561.526244747] 2025-12-04T10:10:25.8269523Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:10:25.8271030Z Executing ['/opt/conda/envs/py_3.11/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 10:10:25.826881] 2025-12-04T10:10:26.1400340Z Running dynamo/test_generator 1/1 ... [2025-12-04 10:10:26.139448][4561.839248271] 2025-12-04T10:10:26.1400869Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:10:26.1404934Z Executing ['/opt/conda/envs/py_3.11/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 10:10:26.140215] 2025-12-04T10:10:27.2847825Z Running dynamo/test_graph_region_tracker 1/1 ... [2025-12-04 10:10:27.284347][4562.984148892] 2025-12-04T10:10:27.2848423Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:10:27.2852708Z Executing ['/opt/conda/envs/py_3.11/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 10:10:27.284726] 2025-12-04T10:10:28.6408651Z 2025-12-04T10:10:28.6409540Z dynamo/test_generator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_generator_1.1_2ed4a0b61dedee1e_.log 2025-12-04T10:10:28.6409935Z 2025-12-04T10:10:28.6410136Z Finished dynamo/test_generator 1/1 ... [2025-12-04 10:10:28.640533][4564.340335489], took 0.04min 2025-12-04T10:10:29.8737347Z 2025-12-04T10:10:29.8738250Z 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_6ae608711b06e2a6_.log 2025-12-04T10:10:29.8738707Z 2025-12-04T10:10:29.8739003Z Finished dynamo/test_graph_region_tracker 1/1 ... [2025-12-04 10:10:29.873058][4565.572862203], took 0.04min 2025-12-04T10:10:31.1558142Z Running dynamo/test_higher_order_ops 1/1 ... [2025-12-04 10:10:31.155358][4566.855161429] 2025-12-04T10:10:31.1558686Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:10:31.1560164Z Executing ['/opt/conda/envs/py_3.11/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 10:10:31.155702] 2025-12-04T10:10:32.3365950Z Running dynamo/test_input_attr_tracking 1/1 ... [2025-12-04 10:10:32.336203][4568.036005775] 2025-12-04T10:10:32.3366327Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:10:32.3367361Z Executing ['/opt/conda/envs/py_3.11/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 10:10:32.336535] 2025-12-04T10:10:34.9152208Z 2025-12-04T10:10:34.9153380Z 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_2c472757d7ea0d24_.log 2025-12-04T10:10:34.9154111Z 2025-12-04T10:10:34.9154428Z Finished dynamo/test_input_attr_tracking 1/1 ... [2025-12-04 10:10:34.914925][4570.614726892], took 0.04min 2025-12-04T10:10:36.0577186Z 2025-12-04T10:10:36.0578201Z 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_0384cf706d898918_.log 2025-12-04T10:10:36.0578902Z 2025-12-04T10:10:36.0579203Z Finished dynamo/test_fx_annotate 1/1 ... [2025-12-04 10:10:36.057287][4571.75708961], took 0.17min 2025-12-04T10:10:37.4633240Z Running dynamo/test_list 1/1 ... [2025-12-04 10:10:37.462744][4573.162544182] 2025-12-04T10:10:37.4633735Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:10:37.4634482Z Executing ['/opt/conda/envs/py_3.11/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 10:10:37.463122] 2025-12-04T10:10:38.5946938Z Running dynamo/test_minifier 1/1 ... [2025-12-04 10:10:38.594266][4574.294068268] 2025-12-04T10:10:38.5947414Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:10:38.5948640Z Executing ['/opt/conda/envs/py_3.11/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 10:10:38.594634] 2025-12-04T10:10:40.0242212Z 2025-12-04T10:10:40.0243019Z dynamo/test_list 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_list_1.1_19e4009ceb3e3604_.log 2025-12-04T10:10:40.0243390Z 2025-12-04T10:10:40.0243558Z Finished dynamo/test_list 1/1 ... [2025-12-04 10:10:40.023595][4575.723397052], took 0.04min 2025-12-04T10:10:41.0919746Z 2025-12-04T10:10:41.0921114Z dynamo/test_minifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_minifier_1.1_acc051539bbcda17_.log 2025-12-04T10:10:41.0921845Z 2025-12-04T10:10:41.0922126Z Finished dynamo/test_minifier 1/1 ... [2025-12-04 10:10:41.091644][4576.791447164], took 0.04min 2025-12-04T10:10:41.6828124Z Uploading artifacts took 0.59 seconds 2025-12-04T10:10:42.1181988Z 2025-12-04T10:10:42.1183075Z 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_8bf32ffc9c5c8c38_.log 2025-12-04T10:10:42.1183759Z 2025-12-04T10:10:42.1184096Z Finished dynamo/test_higher_order_ops 1/1 ... [2025-12-04 10:10:42.117735][4577.817539149], took 0.18min 2025-12-04T10:10:42.5351723Z Running dynamo/test_modes 1/1 ... [2025-12-04 10:10:42.534606][4578.23440779] 2025-12-04T10:10:42.5352056Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:10:42.5352753Z Executing ['/opt/conda/envs/py_3.11/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 10:10:42.534952] 2025-12-04T10:10:43.5657696Z Running dynamo/test_nops 1/1 ... [2025-12-04 10:10:43.565107][4579.264908203] 2025-12-04T10:10:43.5658243Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:10:43.5659301Z Executing ['/opt/conda/envs/py_3.11/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 10:10:43.565454] 2025-12-04T10:10:44.5515707Z Running dynamo/test_pgo 1/1 ... [2025-12-04 10:10:44.551065][4580.250866423] 2025-12-04T10:10:44.5516238Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:10:44.5517329Z Executing ['/opt/conda/envs/py_3.11/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 10:10:44.551432] 2025-12-04T10:10:46.1272924Z 2025-12-04T10:10:46.1273921Z dynamo/test_nops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_nops_1.1_7483e68a21c15689_.log 2025-12-04T10:10:46.1274379Z 2025-12-04T10:10:46.1274587Z Finished dynamo/test_nops 1/1 ... [2025-12-04 10:10:46.126978][4581.826782634], took 0.04min 2025-12-04T10:10:47.1823568Z 2025-12-04T10:10:47.1824668Z dynamo/test_pgo 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_pgo_1.1_29b22216ce273481_.log 2025-12-04T10:10:47.1825327Z 2025-12-04T10:10:47.1825620Z Finished dynamo/test_pgo 1/1 ... [2025-12-04 10:10:47.181841][4582.881643801], took 0.04min 2025-12-04T10:10:48.6519225Z Running dynamo/test_profiler 1/1 ... [2025-12-04 10:10:48.651501][4584.351303713] 2025-12-04T10:10:48.6519770Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:10:48.6521372Z Executing ['/opt/conda/envs/py_3.11/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 10:10:48.651852] 2025-12-04T10:10:49.6964424Z Running dynamo/test_recompile_ux 1/1 ... [2025-12-04 10:10:49.695994][4585.395796484] 2025-12-04T10:10:49.6964936Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:10:49.6966008Z Executing ['/opt/conda/envs/py_3.11/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 10:10:49.696349] 2025-12-04T10:10:51.2185520Z 2025-12-04T10:10:51.2186764Z dynamo/test_profiler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_profiler_1.1_fe74a5094914dbb2_.log 2025-12-04T10:10:51.2187410Z 2025-12-04T10:10:51.2187683Z Finished dynamo/test_profiler 1/1 ... [2025-12-04 10:10:51.218225][4586.918027996], took 0.04min 2025-12-04T10:10:52.2519087Z 2025-12-04T10:10:52.2519807Z 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_ccf9d31e20b446b3_.log 2025-12-04T10:10:52.2520259Z 2025-12-04T10:10:52.2520436Z Finished dynamo/test_recompile_ux 1/1 ... [2025-12-04 10:10:52.250817][4587.950619275], took 0.04min 2025-12-04T10:10:52.7086419Z 2025-12-04T10:10:52.7087489Z dynamo/test_modes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_modes_1.1_9086658d0e3ac626_.log 2025-12-04T10:10:52.7088227Z 2025-12-04T10:10:52.7088520Z Finished dynamo/test_modes 1/1 ... [2025-12-04 10:10:52.708188][4588.407993418], took 0.17min 2025-12-04T10:10:53.8190492Z Running dynamo/test_regional_inductor 1/1 ... [2025-12-04 10:10:53.818502][4589.518303433] 2025-12-04T10:10:53.8190857Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:10:53.8191511Z Executing ['/opt/conda/envs/py_3.11/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 10:10:53.818874] 2025-12-04T10:10:54.8248966Z Running dynamo/test_resume 1/1 ... [2025-12-04 10:10:54.824491][4590.524293625] 2025-12-04T10:10:54.8249412Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:10:54.8250730Z Executing ['/opt/conda/envs/py_3.11/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 10:10:54.824835] 2025-12-04T10:10:55.3364237Z Running dynamo/test_skip_guard_eval_unsafe 1/1 ... [2025-12-04 10:10:55.335861][4591.035662703] 2025-12-04T10:10:55.3364831Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:10:55.3365920Z Executing ['/opt/conda/envs/py_3.11/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 10:10:55.336193] 2025-12-04T10:10:57.1510783Z 2025-12-04T10:10:57.1511770Z dynamo/test_resume 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_resume_1.1_f40378e9c3e082a8_.log 2025-12-04T10:10:57.1512425Z 2025-12-04T10:10:57.1512721Z Finished dynamo/test_resume 1/1 ... [2025-12-04 10:10:57.150583][4592.850385671], took 0.04min 2025-12-04T10:10:57.9102966Z 2025-12-04T10:10:57.9106375Z 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_d374fcbabc83deb8_.log 2025-12-04T10:10:57.9109425Z 2025-12-04T10:10:57.9112460Z Finished dynamo/test_skip_guard_eval_unsafe 1/1 ... [2025-12-04 10:10:57.911019][4593.610818847], took 0.04min 2025-12-04T10:10:59.6814380Z Running dynamo/test_streams 1/1 ... [2025-12-04 10:10:59.680995][4595.380796829] 2025-12-04T10:10:59.6814847Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:10:59.6815766Z Executing ['/opt/conda/envs/py_3.11/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 10:10:59.681348] 2025-12-04T10:11:00.4532829Z Running dynamo/test_subgraphs 1/1 ... [2025-12-04 10:11:00.452730][4596.152532283] 2025-12-04T10:11:00.4533355Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:11:00.4535525Z Executing ['/opt/conda/envs/py_3.11/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 10:11:00.453059] 2025-12-04T10:11:02.2111734Z 2025-12-04T10:11:02.2112738Z dynamo/test_streams 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_streams_1.1_16d82917e5f1f872_.log 2025-12-04T10:11:02.2113422Z 2025-12-04T10:11:02.2113705Z Finished dynamo/test_streams 1/1 ... [2025-12-04 10:11:02.210891][4597.910695787], took 0.04min 2025-12-04T10:11:03.0031093Z 2025-12-04T10:11:03.0034908Z dynamo/test_subgraphs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_subgraphs_1.1_1d01c75c29d85474_.log 2025-12-04T10:11:03.0038063Z 2025-12-04T10:11:03.0041504Z Finished dynamo/test_subgraphs 1/1 ... [2025-12-04 10:11:03.003974][4598.703773713], took 0.04min 2025-12-04T10:11:04.1303590Z 2025-12-04T10:11:04.1304672Z 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_d2aea112ebe2a0da_.log 2025-12-04T10:11:04.1305154Z 2025-12-04T10:11:04.1305371Z Finished dynamo/test_regional_inductor 1/1 ... [2025-12-04 10:11:04.129977][4599.829779624], took 0.17min 2025-12-04T10:11:04.6683235Z Running dynamo/test_unittest 1/1 ... [2025-12-04 10:11:04.667877][4600.367680099] 2025-12-04T10:11:04.6683770Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:11:04.6685096Z Executing ['/opt/conda/envs/py_3.11/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 10:11:04.668247] 2025-12-04T10:11:05.4549979Z Running dynamo/test_verify_correctness 1/1 ... [2025-12-04 10:11:05.454407][4601.154209144] 2025-12-04T10:11:05.4550545Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:11:05.4552316Z Executing ['/opt/conda/envs/py_3.11/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 10:11:05.454749] 2025-12-04T10:11:06.5799302Z Running functorch/test_ac 1/1 ... [2025-12-04 10:11:06.579337][4602.27914069] 2025-12-04T10:11:06.5799860Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:11:06.5801094Z Executing ['/opt/conda/envs/py_3.11/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 10:11:06.579676] 2025-12-04T10:11:07.2651335Z 2025-12-04T10:11:07.2652072Z dynamo/test_unittest 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_unittest_1.1_c0affc8aca4c9f3c_.log 2025-12-04T10:11:07.2652518Z 2025-12-04T10:11:07.2652727Z Finished dynamo/test_unittest 1/1 ... [2025-12-04 10:11:07.264631][4602.964434251], took 0.04min 2025-12-04T10:11:08.0463955Z 2025-12-04T10:11:08.0465107Z 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_210d1ff2066dc2a4_.log 2025-12-04T10:11:08.0466225Z 2025-12-04T10:11:08.0466597Z Finished dynamo/test_verify_correctness 1/1 ... [2025-12-04 10:11:08.045907][4603.745711416], took 0.04min 2025-12-04T10:11:09.8796470Z Running optim/test_optim 1/1 ... [2025-12-04 10:11:09.878977][4605.578778122] 2025-12-04T10:11:09.8796948Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:11:09.8797883Z Executing ['/opt/conda/envs/py_3.11/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 10:11:09.879350] 2025-12-04T10:11:10.6157150Z Running test_appending_byte_serializer 1/1 ... [2025-12-04 10:11:10.615078][4606.314880996] 2025-12-04T10:11:10.6157579Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:11:10.6158218Z Executing ['/opt/conda/envs/py_3.11/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 10:11:10.615436] 2025-12-04T10:11:12.3132157Z 2025-12-04T10:11:12.3133114Z optim/test_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_optim_1.1_b0485cadc12f6a75_.log 2025-12-04T10:11:12.3133714Z 2025-12-04T10:11:12.3133981Z Finished optim/test_optim 1/1 ... [2025-12-04 10:11:12.312912][4608.012714368], took 0.04min 2025-12-04T10:11:13.0547711Z 2025-12-04T10:11:13.0548791Z 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_9db6f22a62a52320_.log 2025-12-04T10:11:13.0549462Z 2025-12-04T10:11:13.0549751Z Finished test_appending_byte_serializer 1/1 ... [2025-12-04 10:11:13.054252][4608.754055664], took 0.04min 2025-12-04T10:11:14.9257229Z Running test_cuda_sanitizer 1/1 ... [2025-12-04 10:11:14.925305][4610.62510604] 2025-12-04T10:11:14.9257736Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:11:14.9258620Z Executing ['/opt/conda/envs/py_3.11/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 10:11:14.925648] 2025-12-04T10:11:15.5635599Z Running test_opaque_obj_v2 1/1 ... [2025-12-04 10:11:15.562908][4611.262709499] 2025-12-04T10:11:15.5635934Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:11:15.5636567Z Executing ['/opt/conda/envs/py_3.11/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 10:11:15.563245] 2025-12-04T10:11:16.7976245Z 2025-12-04T10:11:16.7977182Z functorch/test_ac 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ac_1.1_e71c538b6331ecc8_.log 2025-12-04T10:11:16.7977801Z 2025-12-04T10:11:16.7978047Z Finished functorch/test_ac 1/1 ... [2025-12-04 10:11:16.797161][4612.496966182], took 0.17min 2025-12-04T10:11:17.3562271Z 2025-12-04T10:11:17.3563290Z test_cuda_sanitizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_sanitizer_1.1_643a0a39d584018b_.log 2025-12-04T10:11:17.3564034Z Running 0 items in this shard: 2025-12-04T10:11:17.3564226Z 2025-12-04T10:11:17.3564499Z Finished test_cuda_sanitizer 1/1 ... [2025-12-04 10:11:17.356050][4613.055851975], took 0.04min 2025-12-04T10:11:17.3605574Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cuda_sanitizer/test_cuda_sanitizer-308a42d76a62ece3.xml 2025-12-04T10:11:18.0669410Z 2025-12-04T10:11:18.0670170Z 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_ebe4c2dcf0e9530e_.log 2025-12-04T10:11:18.0670824Z 2025-12-04T10:11:18.0670995Z Finished test_opaque_obj_v2 1/1 ... [2025-12-04 10:11:18.066488][4613.76629159], took 0.04min 2025-12-04T10:11:19.3111486Z Running test_unary_ufuncs 2/2 ... [2025-12-04 10:11:19.310749][4615.010550692] 2025-12-04T10:11:19.3111942Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:11:19.3112924Z Executing ['/opt/conda/envs/py_3.11/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 10:11:19.311089] 2025-12-04T10:11:19.9123434Z Running xpu/test_conv 1/1 ... [2025-12-04 10:11:19.911707][4615.611509525] 2025-12-04T10:11:19.9124019Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:11:19.9125062Z Executing ['/opt/conda/envs/py_3.11/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 10:11:19.912042] 2025-12-04T10:11:22.5745332Z 2025-12-04T10:11:22.5746136Z xpu/test_conv 1/1 was successful, full logs can be found in artifacts with path test/test-reports/xpu.test_conv_1.1_e085f16f7a610c1d_.log 2025-12-04T10:11:22.5746638Z Running 0 items in this shard: 2025-12-04T10:11:22.5746819Z 2025-12-04T10:11:22.5746998Z Finished xpu/test_conv 1/1 ... [2025-12-04 10:11:22.573771][4618.273574749], took 0.04min 2025-12-04T10:11:22.5793706Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/xpu.test_conv/xpu.test_conv-091f142aa9cb787f.xml 2025-12-04T10:17:51.6973965Z 2025-12-04T10:17:51.6974664Z test_unary_ufuncs 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_unary_ufuncs_2.2_6712892e76863457_.log 2025-12-04T10:17:51.9688556Z 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, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_long_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_long_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_long_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_long_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_long_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_short_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_short_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_short_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_short_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_short_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_short_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_short_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs_abs_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs_abs_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs_abs_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs_abs_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs_acos_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs_acos_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs_acos_cpu_complex128, 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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, 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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, 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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, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isinf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isinf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isnan_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isnan_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isnan_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isnan_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isnan_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isnan_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isneginf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isposinf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isposinf_cpu_float32, 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, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log1p_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log1p_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log1p_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log1p_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log2_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log2_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log2_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log_cpu_complex128, 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, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_long_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_5_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_5_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nan_to_num_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nan_to_num_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nan_to_num_cpu_int16, 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, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_threshold_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_polygamma_polygamma_n_0_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_polygamma_polygamma_n_0_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_polygamma_polygamma_n_0_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_polygamma_polygamma_n_0_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_polygamma_polygamma_n_0_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_polygamma_polygamma_n_1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_polygamma_polygamma_n_1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_polygamma_polygamma_n_1_cpu_int16, 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, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_rad2deg_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_real_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_real_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_real_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_real_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_real_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_real_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_real_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_reciprocal_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_reciprocal_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_reciprocal_cpu_complex128, 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_rsqrt_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_rsqrt_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_sgn_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_sgn_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_sgn_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_sgn_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_sgn_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_sgn_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_sgn_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_short_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_short_cpu_bool, 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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, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_special_bessel_j0_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_special_bessel_j0_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_special_bessel_j1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_special_bessel_j1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_special_entr_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_special_entr_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_special_entr_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_special_erfcx_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_special_erfcx_cpu_float32, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_special_log_ndtr_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_special_log_ndtr_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_special_log_ndtr_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_special_logit_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_special_logit_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_special_logit_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_special_logit_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_special_logit_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_special_multigammaln_mvlgamma_p_1_cpu_bfloat16, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_special_multigammaln_mvlgamma_p_3_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_special_multigammaln_mvlgamma_p_3_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_special_multigammaln_mvlgamma_p_5_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_special_multigammaln_mvlgamma_p_5_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_special_multigammaln_mvlgamma_p_5_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_special_multigammaln_mvlgamma_p_5_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_special_multigammaln_mvlgamma_p_5_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_special_ndtr_cpu_bfloat16, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asinh_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asinh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asinh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asinh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asinh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atan_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atan_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atan_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atan_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atan_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, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_short_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_short_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_short_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sigmoid_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sigmoid_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sigmoid_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sigmoid_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sigmoid_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sigmoid_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sigmoid_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sigmoid_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sign_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sign_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sign_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sign_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sign_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sign_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sign_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_signbit_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_signbit_cpu_int16, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_fill_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_floor_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_floor_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_floor_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_floor_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_floor_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_floor_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_frac_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_frac_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_frexp_cpu_float64, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_isinf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_isinf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_isinf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_isinf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_isinf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_isnan_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_isnan_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_isnan_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_isnan_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_isnan_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_isneginf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_isneginf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_isneginf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_isneginf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_isneginf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_isposinf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_isposinf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_isreal_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_isreal_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_isreal_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_isreal_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_isreal_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_isreal_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_isreal_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_isreal_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_lgamma_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_lgamma_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_lgamma_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_lgamma_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_lgamma_cpu_int8, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_logical_not_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_logical_not_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_logical_not_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_logical_not_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_logical_not_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_nan_to_num_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_nan_to_num_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_nan_to_num_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_nan_to_num_cpu_int64, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_nn_functional_softplus_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_nn_functional_softplus_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_nn_functional_softshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_nn_functional_softshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_nn_functional_softshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_nn_functional_softshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_nn_functional_tanhshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_nn_functional_tanhshrink_cpu_complex128, 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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, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_isposinf_isneginf_non_boolean_output_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_isposinf_isneginf_non_boolean_output_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_isposinf_isneginf_non_boolean_output_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_isposinf_isneginf_non_boolean_output_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_log1p_complex_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_mish_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_mish_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_mvlgamma_inplace_integer_error_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_mvlgamma_integer_promotion_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_mvlgamma_integer_promotion_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_nan_to_num_complex_cpu_complex128, 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_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, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_i0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_i0_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_imag_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_int_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_int_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_int_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_int_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_int_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_isfinite_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_isfinite_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_isfinite_cpu_complex64, 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, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_5_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nan_to_num_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nan_to_num_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nan_to_num_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nan_to_num_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nan_to_num_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_float32, 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, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_2_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_2_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_2_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_2_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_3_cpu_bfloat16, 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, 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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, 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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, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_selu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_selu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_selu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_selu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_silu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_silu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_silu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_softplus_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_softplus_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_softshrink_cpu_bfloat16, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_rsqrt_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_rsqrt_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_rsqrt_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_rsqrt_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_sgn_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_sgn_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_sgn_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_sgn_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_sgn_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_short_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_short_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_short_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_sigmoid_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_sigmoid_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_sigmoid_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_sigmoid_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_sign_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_sign_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_signbit_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_signbit_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_signbit_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_signbit_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_signbit_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_sin_cpu_bool, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_large_mvlgamma_mvlgamma_p_1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_large_mvlgamma_mvlgamma_p_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_large_mvlgamma_mvlgamma_p_3_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_large_mvlgamma_mvlgamma_p_5_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_large_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_large_mvlgamma_mvlgamma_p_5_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_large_mvlgamma_mvlgamma_p_5_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_large_mvlgamma_mvlgamma_p_5_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_large_nan_to_num_cpu_bfloat16, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_round_decimals_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_rsqrt_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_rsqrt_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_rsqrt_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_rsqrt_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_rsqrt_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_rsqrt_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_sgn_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_sgn_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_sgn_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_sgn_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_sgn_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_sgn_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_sigmoid_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_sigmoid_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_sigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_sigmoid_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_sigmoid_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_sigmoid_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_sign_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_sign_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_signbit_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_signbit_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_signbit_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_signbit_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_signbit_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_signbit_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_sin_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_sin_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_sin_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_sin_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_sin_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_sin_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_sin_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_sinc_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_sinc_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_sinc_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_sinc_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_sinh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_sinh_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_sinh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_airy_ai_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_airy_ai_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_airy_ai_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_bessel_j0_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_bessel_j0_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_bessel_j0_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_bessel_j1_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_bessel_j1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_bessel_j1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_bessel_y0_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_bessel_y0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_bessel_y0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_bessel_y0_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_bessel_y0_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_bessel_y0_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_bessel_y1_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_bessel_y1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_bessel_y1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_bessel_y1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_bessel_y1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_entr_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_entr_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_entr_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_entr_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_erfcx_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_erfcx_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_erfcx_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_erfcx_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_i0e_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_i0e_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_i0e_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_i0e_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_i1_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_i1_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_i1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_i1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_i1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_i1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_i1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_i1e_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_i1e_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_i1e_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_i1e_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_i1e_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_log_ndtr_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_log_ndtr_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_log_ndtr_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_log_ndtr_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_log_ndtr_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_log_ndtr_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_log_ndtr_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_modified_bessel_i0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_modified_bessel_i0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_modified_bessel_i0_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_modified_bessel_i0_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_modified_bessel_i0_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_modified_bessel_i0_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_modified_bessel_i1_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_modified_bessel_i1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_modified_bessel_i1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_modified_bessel_i1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_modified_bessel_i1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_modified_bessel_k0_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_modified_bessel_k0_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_modified_bessel_k0_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_modified_bessel_k0_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_modified_bessel_k0_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_modified_bessel_k1_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_modified_bessel_k1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_modified_bessel_k1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_modified_bessel_k1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_modified_bessel_k1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_ndtr_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_ndtr_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_ndtr_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_ndtr_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_ndtr_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_ndtr_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_ndtri_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_ndtri_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_ndtri_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_ndtri_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_polygamma_special_polygamma_n_0_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_polygamma_special_polygamma_n_0_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_polygamma_special_polygamma_n_0_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_polygamma_special_polygamma_n_0_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_polygamma_special_polygamma_n_0_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_polygamma_special_polygamma_n_0_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_scaled_modified_bessel_k0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_scaled_modified_bessel_k0_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_scaled_modified_bessel_k0_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_scaled_modified_bessel_k0_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_scaled_modified_bessel_k1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_scaled_modified_bessel_k1_cpu_int64, 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 2025-12-04T10:17:52.2100511Z 2025-12-04T10:17:52.2100779Z Finished test_unary_ufuncs 2/2 ... [2025-12-04 10:17:51.709894][5007.409688176], took 6.54min 2025-12-04T10:17:52.2101498Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_unary_ufuncs/test_unary_ufuncs-b8faa705078f5751.xml 2025-12-04T10:18:06.4145049Z Running test batch 'tests to run' cost 4296.07 seconds 2025-12-04T10:18:11.6983194Z 2025-12-04T10:18:11.6983638Z real 71m43.471s 2025-12-04T10:18:11.6983893Z user 86m13.975s 2025-12-04T10:18:11.6984105Z sys 18m15.178s 2025-12-04T10:18:11.7002365Z + assert_git_not_dirty 2025-12-04T10:18:11.7011798Z + [[ linux-jammy-py3.11-clang12 != *rocm* ]] 2025-12-04T10:18:11.7012043Z + [[ linux-jammy-py3.11-clang12 != *xla* ]] 2025-12-04T10:18:11.7049190Z ++ git status --porcelain 2025-12-04T10:18:11.7049483Z ++ grep -v '?? third_party' 2025-12-04T10:18:56.6662735Z ++ true 2025-12-04T10:18:56.6704923Z + git_status= 2025-12-04T10:18:56.6705222Z + [[ -n '' ]] 2025-12-04T10:18:56.6711617Z + [[ 1 == 1 ]] 2025-12-04T10:18:56.6711877Z + test_aten 2025-12-04T10:18:56.6712055Z + echo 'Running ATen tests with pytorch lib' 2025-12-04T10:18:56.6712290Z Running ATen tests with pytorch lib 2025-12-04T10:18:56.6712488Z + [[ -n '' ]] 2025-12-04T10:18:56.6712669Z + echo 'Running test with the build folder' 2025-12-04T10:18:56.6712875Z Running test with the build folder 2025-12-04T10:18:56.6713057Z + TEST_BASE_DIR=build/bin 2025-12-04T10:18:56.6713354Z + ln -sf /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/lib/libc10.so build/bin 2025-12-04T10:18:56.6751287Z + ln -sf '/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/lib/libcaffe2*' build/bin 2025-12-04T10:18:56.6763095Z + ln -sf '/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/lib/libmkldnn*' build/bin 2025-12-04T10:18:56.6772477Z + ln -sf '/opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/lib/libnccl*' build/bin 2025-12-04T10:18:56.6780316Z + ln -sf /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/lib/libtorch.so /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/lib/libtorch_cpu.so /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/lib/libtorch_global_deps.so /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/lib/libtorch_python.so /opt/conda/envs/py_3.11/lib/python3.11/site-packages/torch/lib/libtorchbind_test.so build/bin 2025-12-04T10:18:56.6788715Z + ls build/bin 2025-12-04T10:18:56.6853759Z BackoffTest cpu_generator_test 2025-12-04T10:18:56.6854154Z CMakeFiles cpu_profiling_allocator_test 2025-12-04T10:18:56.6854487Z CTestTestfile.cmake cpu_rng_test 2025-12-04T10:18:56.6854762Z CppSignature_test dlconvertor_test 2025-12-04T10:18:56.6854982Z Dict_test example_allreduce 2025-12-04T10:18:56.6855191Z Dimname_test extension_backend_test 2025-12-04T10:18:56.6855414Z FileStoreTest half_test 2025-12-04T10:18:56.6855676Z HashStoreTest inline_container_test 2025-12-04T10:18:56.6855979Z IListRef_test ivalue_test 2025-12-04T10:18:56.6856251Z KernelFunction_test kernel_function_legacy_test 2025-12-04T10:18:56.6856483Z List_test kernel_function_test 2025-12-04T10:18:56.6856705Z MaybeOwned_test kernel_lambda_legacy_test 2025-12-04T10:18:56.6856925Z NamedTensor_test kernel_lambda_test 2025-12-04T10:18:56.6857163Z ProcessGroupGlooTest kernel_stackbased_test 2025-12-04T10:18:56.6857396Z StorageUtils_test lazy_tensor_test 2025-12-04T10:18:56.6857594Z TCPStoreTest legacy_vmap_test 2025-12-04T10:18:56.6857928Z apply_utils_test libc10.so 2025-12-04T10:18:56.6858128Z atest 'libcaffe2*' 2025-12-04T10:18:56.6858309Z backend_fallback_test 'libmkldnn*' 2025-12-04T10:18:56.6858517Z basic 'libnccl*' 2025-12-04T10:18:56.6858701Z broadcast_test libtorch.so 2025-12-04T10:18:56.6858915Z c10_AllocatorConfig_test libtorch_cpu.so 2025-12-04T10:18:56.6859142Z c10_ArrayRef_test libtorch_global_deps.so 2025-12-04T10:18:56.6859459Z c10_Bitset_test libtorch_python.so 2025-12-04T10:18:56.6859726Z c10_CompileTimeFunctionPointer_test libtorchbind_test.so 2025-12-04T10:18:56.6860170Z c10_ConstexprCrc_test make_boxed_from_unboxed_functor_test 2025-12-04T10:18:56.6860492Z c10_DeadlockDetection_test math_kernel_test 2025-12-04T10:18:56.6860764Z c10_DeviceGuard_test memory_format_test 2025-12-04T10:18:56.6861047Z c10_Device_test memory_overlapping_test 2025-12-04T10:18:56.6861309Z c10_DispatchKeySet_test mobile_memory_cleanup 2025-12-04T10:18:56.6861589Z c10_Enumerate_test native_test 2025-12-04T10:18:56.6861831Z c10_Half_test op_allowlist_test 2025-12-04T10:18:56.6862095Z c10_InlineDeviceGuard_test op_registration_test 2025-12-04T10:18:56.6862387Z c10_InlineStreamGuard_test operator_name_test 2025-12-04T10:18:56.6862667Z c10_IntrusiveList_test operators_test 2025-12-04T10:18:56.6862933Z c10_LeftRight_test packedtensoraccessor_test 2025-12-04T10:18:56.6863206Z c10_NetworkFlow_test parallel_benchmark 2025-12-04T10:18:56.6863453Z c10_Scalar_test pow_test 2025-12-04T10:18:56.6863665Z c10_Semaphore_test protoc 2025-12-04T10:18:56.6863902Z c10_SizesAndStrides_test protoc-3.13.0.0 2025-12-04T10:18:56.6864149Z c10_StreamGuard_test quantized_test 2025-12-04T10:18:56.6864384Z c10_SymInt_test reduce_ops_test 2025-12-04T10:18:56.6864651Z c10_Synchronized_test reportMemoryUsage_test 2025-12-04T10:18:56.6864916Z c10_ThreadLocal_test scalar_tensor_test 2025-12-04T10:18:56.6865154Z c10_TypeIndex_test scalar_test 2025-12-04T10:18:56.6865393Z c10_accumulate_test static_runtime_bench 2025-12-04T10:18:56.6865653Z c10_bfloat16_test static_runtime_test 2025-12-04T10:18:56.6865954Z c10_bit_cast_test stride_properties_test 2025-12-04T10:18:56.6866259Z c10_complex_math_test tensor_iterator_test 2025-12-04T10:18:56.6866503Z c10_complex_test test_aoti_abi_check 2025-12-04T10:18:56.6866705Z c10_cow_test test_api 2025-12-04T10:18:56.6866887Z c10_error_test test_cpp_rpc 2025-12-04T10:18:56.6867088Z c10_exception_test test_dist_autograd 2025-12-04T10:18:56.6867287Z c10_flags_test test_jit 2025-12-04T10:18:56.6867479Z c10_generic_math_test test_lazy 2025-12-04T10:18:56.6867684Z c10_intrusive_ptr_benchmark test_parallel 2025-12-04T10:18:56.6867913Z c10_intrusive_ptr_test test_vec_half_AVX2 2025-12-04T10:18:56.6868139Z c10_irange_test test_vec_half_AVX512 2025-12-04T10:18:56.6868341Z c10_lazy_test test_vec_half_DEFAULT 2025-12-04T10:18:56.6868546Z c10_logging_test thread_init_test 2025-12-04T10:18:56.6868750Z c10_nofatal_test torch_shm_manager 2025-12-04T10:18:56.6868949Z c10_optional_test type_ptr_test 2025-12-04T10:18:56.6869152Z c10_ordered_preserving_dict_test type_test 2025-12-04T10:18:56.6869369Z c10_registry_test undefined_tensor_test 2025-12-04T10:18:56.6869599Z c10_small_vector_test vec_test_all_types_AVX2 2025-12-04T10:18:56.6869819Z c10_ssize_test vec_test_all_types_AVX512 2025-12-04T10:18:56.6870052Z c10_string_util_test vec_test_all_types_DEFAULT 2025-12-04T10:18:56.6870286Z c10_string_view_test verify_api_visibility 2025-12-04T10:18:56.6870489Z c10_tempfile_test weakref_test 2025-12-04T10:18:56.6870683Z c10_typeid_test wrapdim_test 2025-12-04T10:18:56.6870910Z cmake_install.cmake xla_tensor_test 2025-12-04T10:18:56.6871099Z cpu_allocator_test 2025-12-04T10:18:56.6871266Z + aten/tools/run_tests.sh build/bin 2025-12-04T10:18:56.6903195Z + set -e 2025-12-04T10:18:56.6905742Z ++ dirname aten/tools/run_tests.sh 2025-12-04T10:18:56.6932579Z + VALGRIND_SUP=/var/lib/jenkins/workspace/aten/tools/valgrind.sup 2025-12-04T10:18:56.6933084Z + export CPP_TESTS_DIR=build/bin 2025-12-04T10:18:56.6933357Z + CPP_TESTS_DIR=build/bin 2025-12-04T10:18:56.6933524Z + VALGRIND=ON 2025-12-04T10:18:56.6934622Z + 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 2025-12-04T10:18:58.4761625Z No TD results found 2025-12-04T10:18:58.4762737Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T10:18:58.4869216Z ##[warning] Gathered no stats from artifacts for dynamo-test (3.11) build env and dynamo_wrapped test config. Using default job name and dynamo_wrapped test config instead. 2025-12-04T10:18:58.5220098Z ##[warning] Gathered no stats from artifacts for dynamo-test (3.11) build env and dynamo_wrapped test config. Using default job name and dynamo_wrapped test config instead. 2025-12-04T10:18:58.5221357Z Running all tests 2025-12-04T10:18:58.5224364Z Running parallel tests on 3 processes 2025-12-04T10:18:58.5224905Z Name: tests to run (est. time: 0.0min) 2025-12-04T10:18:58.5225112Z Serial tests (0): 2025-12-04T10:18:58.5225302Z Parallel tests (19): 2025-12-04T10:18:58.5225511Z cpp/Dict_test 1/1 2025-12-04T10:18:58.5226603Z cpp/Dimname_test 1/1 2025-12-04T10:18:58.5226778Z cpp/NamedTensor_test 1/1 2025-12-04T10:18:58.5226989Z cpp/apply_utils_test 1/1 2025-12-04T10:18:58.5227160Z cpp/atest 1/1 2025-12-04T10:18:58.5227306Z cpp/basic 1/1 2025-12-04T10:18:58.5227465Z cpp/broadcast_test 1/1 2025-12-04T10:18:58.5227645Z cpp/cpu_generator_test 1/1 2025-12-04T10:18:58.5228035Z cpp/dlconvertor_test 1/1 2025-12-04T10:18:58.5228255Z cpp/extension_backend_test 1/1 2025-12-04T10:18:58.5228568Z cpp/lazy_tensor_test 1/1 2025-12-04T10:18:58.5228785Z cpp/legacy_vmap_test 1/1 2025-12-04T10:18:58.5228956Z cpp/native_test 1/1 2025-12-04T10:18:58.5229148Z cpp/operators_test 1/1 2025-12-04T10:18:58.5229341Z cpp/scalar_tensor_test 1/1 2025-12-04T10:18:58.5229501Z cpp/scalar_test 1/1 2025-12-04T10:18:58.5229684Z cpp/tensor_iterator_test 1/1 2025-12-04T10:18:58.5229865Z cpp/undefined_tensor_test 1/1 2025-12-04T10:18:58.5230050Z cpp/wrapdim_test 1/1 2025-12-04T10:18:58.5230230Z Name: excluded (est. time: 0.0min) 2025-12-04T10:18:58.5230415Z Serial tests (0): 2025-12-04T10:18:58.5230571Z Parallel tests (0): 2025-12-04T10:18:58.5230900Z Running cpp/Dict_test 1/1 ... [2025-12-04 10:18:58.522781][5074.222586427] 2025-12-04T10:18:58.5231194Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:18:58.5231678Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/Dict_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:18:58.523035] 2025-12-04T10:19:04.3550354Z 2025-12-04T10:19:04.3551082Z cpp/Dict_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dict_test_1.1_bc2ac55076b12129_.log 2025-12-04T10:19:04.3551561Z 2025-12-04T10:19:04.3551742Z Finished cpp/Dict_test 1/1 ... [2025-12-04 10:19:04.354661][5080.054464766], took 0.10min 2025-12-04T10:19:05.5560780Z Uploading artifacts took 1.20 seconds 2025-12-04T10:19:05.5561130Z Running cpp/Dimname_test 1/1 ... [2025-12-04 10:19:05.555272][5081.255073029] 2025-12-04T10:19:05.5561408Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:19:05.5562191Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/Dimname_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:19:05.555649] 2025-12-04T10:19:10.9336424Z 2025-12-04T10:19:10.9337241Z cpp/Dimname_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dimname_test_1.1_aae9bd3f4634b7c1_.log 2025-12-04T10:19:10.9337616Z 2025-12-04T10:19:10.9337782Z Finished cpp/Dimname_test 1/1 ... [2025-12-04 10:19:10.933296][5086.633097698], took 0.09min 2025-12-04T10:19:10.9364408Z Running cpp/NamedTensor_test 1/1 ... [2025-12-04 10:19:10.936294][5086.636099309] 2025-12-04T10:19:10.9364819Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:19:10.9366931Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/NamedTensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:19:10.936537] 2025-12-04T10:19:16.3169827Z 2025-12-04T10:19:16.3170556Z cpp/NamedTensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.NamedTensor_test_1.1_5aa86bbaafa980f0_.log 2025-12-04T10:19:16.3170999Z 2025-12-04T10:19:16.3171170Z Finished cpp/NamedTensor_test 1/1 ... [2025-12-04 10:19:16.315898][5092.015699848], took 0.09min 2025-12-04T10:19:16.3194165Z Running cpp/apply_utils_test 1/1 ... [2025-12-04 10:19:16.318933][5092.0187393] 2025-12-04T10:19:16.3194467Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:19:16.3194917Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/apply_utils_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:19:16.319167] 2025-12-04T10:19:21.6986790Z 2025-12-04T10:19:21.6987525Z 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_0a782791349edfb6_.log 2025-12-04T10:19:21.6987908Z 2025-12-04T10:19:21.6988077Z Finished cpp/apply_utils_test 1/1 ... [2025-12-04 10:19:21.697836][5097.397638644], took 0.09min 2025-12-04T10:19:21.7010718Z Running cpp/atest 1/1 ... [2025-12-04 10:19:21.700891][5097.400696372] 2025-12-04T10:19:21.7010990Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:19:21.7013326Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/atest', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:19:21.701137] 2025-12-04T10:19:27.0798723Z 2025-12-04T10:19:27.0799870Z cpp/atest 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.atest_1.1_bdabb5c4b24cf51b_.log 2025-12-04T10:19:27.0800204Z 2025-12-04T10:19:27.0800349Z Finished cpp/atest 1/1 ... [2025-12-04 10:19:27.079431][5102.779234214], took 0.09min 2025-12-04T10:19:27.0828879Z Running cpp/basic 1/1 ... [2025-12-04 10:19:27.082426][5102.78223143] 2025-12-04T10:19:27.0829179Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:19:27.0829620Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/basic', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:19:27.082660] 2025-12-04T10:19:32.4111666Z 2025-12-04T10:19:32.4112588Z cpp/basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.basic_1.1_4cf8c3387519557f_.log 2025-12-04T10:19:32.4113155Z 2025-12-04T10:19:32.4113396Z Finished cpp/basic 1/1 ... [2025-12-04 10:19:32.410612][5108.110414774], took 0.09min 2025-12-04T10:19:32.4141128Z Running cpp/broadcast_test 1/1 ... [2025-12-04 10:19:32.413574][5108.113379358] 2025-12-04T10:19:32.4141527Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:19:32.4142079Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/broadcast_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:19:32.413815] 2025-12-04T10:19:37.7415792Z 2025-12-04T10:19:37.7416496Z cpp/broadcast_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.broadcast_test_1.1_f1097a83e0bb21c0_.log 2025-12-04T10:19:37.7416861Z 2025-12-04T10:19:37.7417319Z Finished cpp/broadcast_test 1/1 ... [2025-12-04 10:19:37.741113][5113.440915838], took 0.09min 2025-12-04T10:19:37.7447189Z Running cpp/cpu_generator_test 1/1 ... [2025-12-04 10:19:37.744110][5113.443916283] 2025-12-04T10:19:37.7447539Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:19:37.7448042Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cpu_generator_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:19:37.744366] 2025-12-04T10:19:43.2243650Z 2025-12-04T10:19:43.2244424Z 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_9390a0ac081496c0_.log 2025-12-04T10:19:43.2245252Z 2025-12-04T10:19:43.2245431Z Finished cpp/cpu_generator_test 1/1 ... [2025-12-04 10:19:43.223632][5118.923435694], took 0.09min 2025-12-04T10:19:43.2267980Z Running cpp/dlconvertor_test 1/1 ... [2025-12-04 10:19:43.226585][5118.926390864] 2025-12-04T10:19:43.2268302Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:19:43.2269583Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/dlconvertor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:19:43.226815] 2025-12-04T10:19:48.7060959Z 2025-12-04T10:19:48.7062071Z cpp/dlconvertor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.dlconvertor_test_1.1_71a0f8d87ea5ccec_.log 2025-12-04T10:19:48.7062673Z 2025-12-04T10:19:48.7062953Z Finished cpp/dlconvertor_test 1/1 ... [2025-12-04 10:19:48.705203][5124.40500666], took 0.09min 2025-12-04T10:19:48.7084126Z Running cpp/extension_backend_test 1/1 ... [2025-12-04 10:19:48.708229][5124.408033554] 2025-12-04T10:19:48.7084579Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:19:48.7086230Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/extension_backend_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:19:48.708490] 2025-12-04T10:19:54.1864989Z 2025-12-04T10:19:54.1866068Z 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_3ff254b4fb6b6803_.log 2025-12-04T10:19:54.1866774Z 2025-12-04T10:19:54.1867089Z Finished cpp/extension_backend_test 1/1 ... [2025-12-04 10:19:54.185791][5129.885594119], took 0.09min 2025-12-04T10:19:54.1890162Z Running cpp/lazy_tensor_test 1/1 ... [2025-12-04 10:19:54.188770][5129.888576038] 2025-12-04T10:19:54.1890559Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:19:54.1891930Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/lazy_tensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:19:54.189012] 2025-12-04T10:19:59.4185867Z 2025-12-04T10:19:59.4186609Z 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_30192521ac332e37_.log 2025-12-04T10:19:59.4187028Z 2025-12-04T10:19:59.4187268Z Finished cpp/lazy_tensor_test 1/1 ... [2025-12-04 10:19:59.417928][5135.117732556], took 0.09min 2025-12-04T10:19:59.4213995Z Running cpp/legacy_vmap_test 1/1 ... [2025-12-04 10:19:59.420929][5135.120735192] 2025-12-04T10:19:59.4214420Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:19:59.4214941Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/legacy_vmap_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:19:59.421154] 2025-12-04T10:20:04.7997096Z 2025-12-04T10:20:04.7998115Z 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_2d347de1f514783a_.log 2025-12-04T10:20:04.7998781Z 2025-12-04T10:20:04.7999051Z Finished cpp/legacy_vmap_test 1/1 ... [2025-12-04 10:20:04.799114][5140.498917652], took 0.09min 2025-12-04T10:20:04.8027613Z Running cpp/native_test 1/1 ... [2025-12-04 10:20:04.802077][5140.501881477] 2025-12-04T10:20:04.8028044Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:20:04.8028834Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/native_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:20:04.802328] 2025-12-04T10:20:10.3305580Z 2025-12-04T10:20:10.3306476Z cpp/native_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.native_test_1.1_f0cb7aef4360cdf2_.log 2025-12-04T10:20:10.3306890Z 2025-12-04T10:20:10.3307049Z Finished cpp/native_test 1/1 ... [2025-12-04 10:20:10.330060][5146.029862871], took 0.09min 2025-12-04T10:20:10.3336626Z Running cpp/operators_test 1/1 ... [2025-12-04 10:20:10.333152][5146.032957597] 2025-12-04T10:20:10.3337048Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:20:10.3337499Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/operators_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:20:10.333376] 2025-12-04T10:20:15.7126526Z 2025-12-04T10:20:15.7127373Z cpp/operators_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.operators_test_1.1_cfda3ec093c21785_.log 2025-12-04T10:20:15.7127805Z 2025-12-04T10:20:15.7128012Z Finished cpp/operators_test 1/1 ... [2025-12-04 10:20:15.711934][5151.411737616], took 0.09min 2025-12-04T10:20:15.7153025Z Running cpp/scalar_tensor_test 1/1 ... [2025-12-04 10:20:15.714892][5151.414698478] 2025-12-04T10:20:15.7153330Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:20:15.7154451Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/scalar_tensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:20:15.715132] 2025-12-04T10:20:21.1451708Z 2025-12-04T10:20:21.1452488Z 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_6b9f367523ba4ed5_.log 2025-12-04T10:20:21.1452952Z 2025-12-04T10:20:21.1453159Z Finished cpp/scalar_tensor_test 1/1 ... [2025-12-04 10:20:21.144443][5156.844247546], took 0.09min 2025-12-04T10:20:21.1480794Z Running cpp/scalar_test 1/1 ... [2025-12-04 10:20:21.147491][5156.847297294] 2025-12-04T10:20:21.1481162Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:20:21.1481977Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/scalar_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:20:21.147710] 2025-12-04T10:20:26.4770864Z 2025-12-04T10:20:26.4771574Z cpp/scalar_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.scalar_test_1.1_793a6795cd0c6447_.log 2025-12-04T10:20:26.4772272Z 2025-12-04T10:20:26.4772438Z Finished cpp/scalar_test 1/1 ... [2025-12-04 10:20:26.476447][5162.176252057], took 0.09min 2025-12-04T10:20:26.4795109Z Running cpp/tensor_iterator_test 1/1 ... [2025-12-04 10:20:26.479367][5162.179173573] 2025-12-04T10:20:26.4795470Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:20:26.4798029Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/tensor_iterator_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:20:26.479617] 2025-12-04T10:20:31.8596580Z 2025-12-04T10:20:31.8597371Z 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_7bbc57834f562cb9_.log 2025-12-04T10:20:31.8597778Z 2025-12-04T10:20:31.8597989Z Finished cpp/tensor_iterator_test 1/1 ... [2025-12-04 10:20:31.859164][5167.558967661], took 0.09min 2025-12-04T10:20:31.8629287Z Running cpp/undefined_tensor_test 1/1 ... [2025-12-04 10:20:31.862056][5167.561862288] 2025-12-04T10:20:31.8629614Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:20:31.8630075Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/undefined_tensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:20:31.862295] 2025-12-04T10:20:37.2918338Z 2025-12-04T10:20:37.2919095Z 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_f94fa01be5cbedcc_.log 2025-12-04T10:20:37.2919827Z 2025-12-04T10:20:37.2920036Z Finished cpp/undefined_tensor_test 1/1 ... [2025-12-04 10:20:37.291102][5172.990906788], took 0.09min 2025-12-04T10:20:37.2944900Z Running cpp/wrapdim_test 1/1 ... [2025-12-04 10:20:37.294146][5172.993951274] 2025-12-04T10:20:37.2945291Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:20:37.2945833Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/wrapdim_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:20:37.294402] 2025-12-04T10:20:42.6231607Z 2025-12-04T10:20:42.6232369Z cpp/wrapdim_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.wrapdim_test_1.1_e0985915b213b856_.log 2025-12-04T10:20:42.6232924Z 2025-12-04T10:20:42.6233163Z Finished cpp/wrapdim_test 1/1 ... [2025-12-04 10:20:42.622161][5178.321964822], took 0.09min 2025-12-04T10:20:44.5121442Z Running cpp/Dict_test 1/1 ... [2025-12-04 10:20:44.511539][5180.211340812] 2025-12-04T10:20:44.5121779Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:20:44.5122290Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/Dict_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:20:44.511900] 2025-12-04T10:20:44.5130564Z Running cpp/Dimname_test 1/1 ... [2025-12-04 10:20:44.512863][5180.212664785] 2025-12-04T10:20:44.5130853Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:20:44.5133268Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/Dimname_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:20:44.513194] 2025-12-04T10:20:44.5408748Z Running cpp/NamedTensor_test 1/1 ... [2025-12-04 10:20:44.540462][5180.240263172] 2025-12-04T10:20:44.5409311Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:20:44.5410527Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/NamedTensor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:20:44.540821] 2025-12-04T10:20:52.8994757Z 2025-12-04T10:20:52.8995770Z cpp/Dimname_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dimname_test_1.1_fb8e55304ea4b8b1_.log 2025-12-04T10:20:52.8996409Z 2025-12-04T10:20:52.8996912Z Finished cpp/Dimname_test 1/1 ... [2025-12-04 10:20:52.899297][5188.599095092], took 0.14min 2025-12-04T10:20:53.6272245Z 2025-12-04T10:20:53.6274056Z cpp/NamedTensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.NamedTensor_test_1.1_b42f6ddcb2c3bb0e_.log 2025-12-04T10:20:53.6274684Z 2025-12-04T10:20:53.6274981Z Finished cpp/NamedTensor_test 1/1 ... [2025-12-04 10:20:53.626966][5189.326766585], took 0.15min 2025-12-04T10:20:55.8360093Z Running cpp/apply_utils_test 1/1 ... [2025-12-04 10:20:55.835554][5191.535353873] 2025-12-04T10:20:55.8360622Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:20:55.8362853Z 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 10:20:55.836002] 2025-12-04T10:20:56.4069059Z 2025-12-04T10:20:56.4070021Z cpp/Dict_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dict_test_1.1_f1df13b853bf4cab_.log 2025-12-04T10:20:56.4070591Z 2025-12-04T10:20:56.4070869Z Finished cpp/Dict_test 1/1 ... [2025-12-04 10:20:56.406578][5192.106381777], took 0.20min 2025-12-04T10:20:56.5150789Z Running cpp/atest 1/1 ... [2025-12-04 10:20:56.514637][5192.214438419] 2025-12-04T10:20:56.5151303Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:20:56.5152026Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/atest', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:20:56.514974] 2025-12-04T10:20:59.3456758Z Running cpp/basic 1/1 ... [2025-12-04 10:20:59.343377][5195.043176804] 2025-12-04T10:20:59.3457277Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:20:59.3458258Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/basic', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:20:59.343891] 2025-12-04T10:21:03.8177503Z 2025-12-04T10:21:03.8178694Z 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_583d70c8ad8b9f84_.log 2025-12-04T10:21:03.8179545Z 2025-12-04T10:21:03.8180024Z Finished cpp/apply_utils_test 1/1 ... [2025-12-04 10:21:03.817472][5199.51727488], took 0.13min 2025-12-04T10:21:05.5229472Z 2025-12-04T10:21:05.5231104Z cpp/atest 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.atest_1.1_2912fa02acebd4ac_.log 2025-12-04T10:21:05.5231652Z 2025-12-04T10:21:05.5231887Z Finished cpp/atest 1/1 ... [2025-12-04 10:21:05.522778][5201.222578887], took 0.15min 2025-12-04T10:21:06.9369522Z Running cpp/broadcast_test 1/1 ... [2025-12-04 10:21:06.936519][5202.636320232] 2025-12-04T10:21:06.9369882Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:21:06.9371204Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/broadcast_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:21:06.936958] 2025-12-04T10:21:07.5291365Z 2025-12-04T10:21:07.5292349Z cpp/basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.basic_1.1_fbc73c19440fdace_.log 2025-12-04T10:21:07.5292957Z 2025-12-04T10:21:07.5293203Z Finished cpp/basic 1/1 ... [2025-12-04 10:21:07.528821][5203.228623958], took 0.14min 2025-12-04T10:21:08.3041991Z Running cpp/cpu_generator_test 1/1 ... [2025-12-04 10:21:08.303645][5204.003444791] 2025-12-04T10:21:08.3042491Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:21:08.3045457Z 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 10:21:08.304325] 2025-12-04T10:21:10.2786534Z Running cpp/dlconvertor_test 1/1 ... [2025-12-04 10:21:10.278132][5205.977929963] 2025-12-04T10:21:10.2787119Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:21:10.2788549Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/dlconvertor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:21:10.278607] 2025-12-04T10:21:13.9683418Z 2025-12-04T10:21:13.9684651Z cpp/broadcast_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.broadcast_test_1.1_3cba819f44678114_.log 2025-12-04T10:21:13.9685364Z 2025-12-04T10:21:13.9685634Z Finished cpp/broadcast_test 1/1 ... [2025-12-04 10:21:13.967901][5209.6677029], took 0.12min 2025-12-04T10:21:17.1709162Z Running cpp/extension_backend_test 1/1 ... [2025-12-04 10:21:17.170094][5212.86989578] 2025-12-04T10:21:17.1709539Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:21:17.1710026Z 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 10:21:17.170476] 2025-12-04T10:21:17.3970484Z 2025-12-04T10:21:17.3971489Z 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_dd07e374ca696578_.log 2025-12-04T10:21:17.3972102Z 2025-12-04T10:21:17.3972394Z Finished cpp/cpu_generator_test 1/1 ... [2025-12-04 10:21:17.396780][5213.096582208], took 0.15min 2025-12-04T10:21:18.6610337Z 2025-12-04T10:21:18.6611116Z cpp/dlconvertor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.dlconvertor_test_1.1_137f6275620030e2_.log 2025-12-04T10:21:18.6611546Z 2025-12-04T10:21:18.6611778Z Finished cpp/dlconvertor_test 1/1 ... [2025-12-04 10:21:18.660608][5214.360408082], took 0.14min 2025-12-04T10:21:20.4147773Z Running cpp/lazy_tensor_test 1/1 ... [2025-12-04 10:21:20.414286][5216.114084333] 2025-12-04T10:21:20.4148297Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:21:20.4149867Z 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 10:21:20.414772] 2025-12-04T10:21:21.4568208Z Running cpp/legacy_vmap_test 1/1 ... [2025-12-04 10:21:21.456336][5217.156136667] 2025-12-04T10:21:21.4568710Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:21:21.4570434Z 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 10:21:21.456832] 2025-12-04T10:21:24.1499745Z 2025-12-04T10:21:24.1501265Z 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_2f5eb2c2c2a92921_.log 2025-12-04T10:21:24.1508581Z 2025-12-04T10:21:24.1509016Z Finished cpp/extension_backend_test 1/1 ... [2025-12-04 10:21:24.149787][5219.849588856], took 0.12min 2025-12-04T10:21:27.4878107Z Running cpp/native_test 1/1 ... [2025-12-04 10:21:27.487062][5223.186863896] 2025-12-04T10:21:27.4878661Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:21:27.4881921Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/native_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:21:27.487637] 2025-12-04T10:21:28.1971279Z 2025-12-04T10:21:28.1972310Z 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_febc49e43e5da82b_.log 2025-12-04T10:21:28.1972971Z 2025-12-04T10:21:28.1973280Z Finished cpp/lazy_tensor_test 1/1 ... [2025-12-04 10:21:28.196822][5223.896624257], took 0.13min 2025-12-04T10:21:30.8521080Z 2025-12-04T10:21:30.8523438Z 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_ca7b29cb617569aa_.log 2025-12-04T10:21:30.8524133Z 2025-12-04T10:21:30.8524442Z Finished cpp/legacy_vmap_test 1/1 ... [2025-12-04 10:21:30.852020][5226.551819464], took 0.16min 2025-12-04T10:21:31.3215826Z Running cpp/operators_test 1/1 ... [2025-12-04 10:21:31.321059][5227.020859314] 2025-12-04T10:21:31.3216510Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:21:31.3217884Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/operators_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:21:31.321518] 2025-12-04T10:21:33.7242703Z Running cpp/scalar_tensor_test 1/1 ... [2025-12-04 10:21:33.723756][5229.423557049] 2025-12-04T10:21:33.7243687Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:21:33.7244836Z 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 10:21:33.724261] 2025-12-04T10:21:34.1692452Z 2025-12-04T10:21:34.1693378Z cpp/native_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.native_test_1.1_c7f09880a262b932_.log 2025-12-04T10:21:34.1693977Z 2025-12-04T10:21:34.1694265Z Finished cpp/native_test 1/1 ... [2025-12-04 10:21:34.168735][5229.868534515], took 0.11min 2025-12-04T10:21:37.4599601Z Running cpp/scalar_test 1/1 ... [2025-12-04 10:21:37.459401][5233.159200627] 2025-12-04T10:21:37.4600086Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:21:37.4600848Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/scalar_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:21:37.459875] 2025-12-04T10:21:38.9538707Z 2025-12-04T10:21:38.9540376Z cpp/operators_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.operators_test_1.1_3ce784f87b002daa_.log 2025-12-04T10:21:38.9541316Z 2025-12-04T10:21:38.9543733Z Finished cpp/operators_test 1/1 ... [2025-12-04 10:21:38.953665][5234.653466453], took 0.13min 2025-12-04T10:21:41.6639595Z 2025-12-04T10:21:41.6640755Z 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_79984c3ee69d9ddb_.log 2025-12-04T10:21:41.6641391Z 2025-12-04T10:21:41.6641979Z Finished cpp/scalar_tensor_test 1/1 ... [2025-12-04 10:21:41.663816][5237.36361603], took 0.13min 2025-12-04T10:21:41.9019149Z Running cpp/tensor_iterator_test 1/1 ... [2025-12-04 10:21:41.901411][5237.601212055] 2025-12-04T10:21:41.9020221Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:21:41.9021469Z 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 10:21:41.901763] 2025-12-04T10:21:44.9558525Z Running cpp/undefined_tensor_test 1/1 ... [2025-12-04 10:21:44.955271][5240.655072231] 2025-12-04T10:21:44.9559070Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:21:44.9559862Z 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 10:21:44.955645] 2025-12-04T10:21:45.4422326Z 2025-12-04T10:21:45.4423447Z cpp/scalar_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.scalar_test_1.1_b46d6ab5346837cf_.log 2025-12-04T10:21:45.4424066Z 2025-12-04T10:21:45.4424335Z Finished cpp/scalar_test 1/1 ... [2025-12-04 10:21:45.442060][5241.141858895], took 0.13min 2025-12-04T10:21:48.5920461Z Running cpp/wrapdim_test 1/1 ... [2025-12-04 10:21:48.591466][5244.291267663] 2025-12-04T10:21:48.5920965Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:21:48.5924949Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/wrapdim_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:21:48.591860] 2025-12-04T10:21:52.2885975Z 2025-12-04T10:21:52.2887024Z 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_1eb4d6ba27e86d35_.log 2025-12-04T10:21:52.2889981Z 2025-12-04T10:21:52.2890585Z Finished cpp/undefined_tensor_test 1/1 ... [2025-12-04 10:21:52.288698][5247.988494331], took 0.12min 2025-12-04T10:21:55.1212513Z 2025-12-04T10:21:55.1213549Z 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_1f766c45ebdadf32_.log 2025-12-04T10:21:55.1214435Z 2025-12-04T10:21:55.1217582Z Finished cpp/tensor_iterator_test 1/1 ... [2025-12-04 10:21:55.121160][5250.82095847], took 0.22min 2025-12-04T10:21:56.2741167Z 2025-12-04T10:21:56.2741896Z cpp/wrapdim_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.wrapdim_test_1.1_9d7280d2922167b4_.log 2025-12-04T10:21:56.2742413Z 2025-12-04T10:21:56.2742577Z Finished cpp/wrapdim_test 1/1 ... [2025-12-04 10:21:56.273808][5251.973610818], took 0.13min 2025-12-04T10:21:58.2006453Z Running test batch 'tests to run' cost 179.68 seconds 2025-12-04T10:21:58.7468123Z + run_if_exists tensor_interop_test 2025-12-04T10:21:58.7468472Z + local test_name=tensor_interop_test 2025-12-04T10:21:58.7468748Z + [[ -x build/bin/tensor_interop_test ]] 2025-12-04T10:21:58.7469127Z + echo 'Warning: tensor_interop_test does not exist.' 2025-12-04T10:21:58.7469462Z Warning: tensor_interop_test does not exist. 2025-12-04T10:21:58.7469708Z + run_if_exists cudnn_test 2025-12-04T10:21:58.7469902Z + local test_name=cudnn_test 2025-12-04T10:21:58.7470143Z + [[ -x build/bin/cudnn_test ]] 2025-12-04T10:21:58.7470395Z + echo 'Warning: cudnn_test does not exist.' 2025-12-04T10:21:58.7470628Z Warning: cudnn_test does not exist. 2025-12-04T10:21:58.7470824Z + run_if_exists cuda_generator_test 2025-12-04T10:21:58.7471017Z + local test_name=cuda_generator_test 2025-12-04T10:21:58.7471285Z + [[ -x build/bin/cuda_generator_test ]] 2025-12-04T10:21:58.7471508Z + echo 'Warning: cuda_generator_test does not exist.' 2025-12-04T10:21:58.7471729Z Warning: cuda_generator_test does not exist. 2025-12-04T10:21:58.7471977Z + run_if_exists apply_test 2025-12-04T10:21:58.7472157Z + local test_name=apply_test 2025-12-04T10:21:58.7472330Z + [[ -x build/bin/apply_test ]] 2025-12-04T10:21:58.7472884Z + echo 'Warning: apply_test does not exist.' 2025-12-04T10:21:58.7473098Z Warning: apply_test does not exist. 2025-12-04T10:21:58.7473278Z + run_if_exists stream_test 2025-12-04T10:21:58.7473508Z + local test_name=stream_test 2025-12-04T10:21:58.7473694Z + [[ -x build/bin/stream_test ]] 2025-12-04T10:21:58.7473883Z + echo 'Warning: stream_test does not exist.' 2025-12-04T10:21:58.7474110Z Warning: stream_test does not exist. 2025-12-04T10:21:58.7474336Z + run_if_exists cuda_half_test 2025-12-04T10:21:58.7474599Z + local test_name=cuda_half_test 2025-12-04T10:21:58.7474776Z + [[ -x build/bin/cuda_half_test ]] 2025-12-04T10:21:58.7475034Z + echo 'Warning: cuda_half_test does not exist.' 2025-12-04T10:21:58.7475246Z Warning: cuda_half_test does not exist. 2025-12-04T10:21:58.7475436Z + run_if_exists cuda_vectorized_test 2025-12-04T10:21:58.7475659Z + local test_name=cuda_vectorized_test 2025-12-04T10:21:58.7475874Z + [[ -x build/bin/cuda_vectorized_test ]] 2025-12-04T10:21:58.7476093Z + echo 'Warning: cuda_vectorized_test does not exist.' 2025-12-04T10:21:58.7476334Z Warning: cuda_vectorized_test does not exist. 2025-12-04T10:21:58.7476588Z + run_if_exists cuda_distributions_test 2025-12-04T10:21:58.7476782Z + local test_name=cuda_distributions_test 2025-12-04T10:21:58.7476990Z + [[ -x build/bin/cuda_distributions_test ]] 2025-12-04T10:21:58.7477270Z + echo 'Warning: cuda_distributions_test does not exist.' 2025-12-04T10:21:58.7477537Z Warning: cuda_distributions_test does not exist. 2025-12-04T10:21:58.7477782Z + run_if_exists cuda_optional_test 2025-12-04T10:21:58.7478013Z + local test_name=cuda_optional_test 2025-12-04T10:21:58.7478205Z + [[ -x build/bin/cuda_optional_test ]] 2025-12-04T10:21:58.7478423Z + echo 'Warning: cuda_optional_test does not exist.' 2025-12-04T10:21:58.7478656Z Warning: cuda_optional_test does not exist. 2025-12-04T10:21:58.7478890Z + run_if_exists cuda_tensor_interop_test 2025-12-04T10:21:58.7479097Z + local test_name=cuda_tensor_interop_test 2025-12-04T10:21:58.7479310Z + [[ -x build/bin/cuda_tensor_interop_test ]] 2025-12-04T10:21:58.7479583Z + echo 'Warning: cuda_tensor_interop_test does not exist.' 2025-12-04T10:21:58.7479828Z Warning: cuda_tensor_interop_test does not exist. 2025-12-04T10:21:58.7480042Z + run_if_exists cuda_complex_test 2025-12-04T10:21:58.7480316Z + local test_name=cuda_complex_test 2025-12-04T10:21:58.7480512Z + [[ -x build/bin/cuda_complex_test ]] 2025-12-04T10:21:58.7480770Z + echo 'Warning: cuda_complex_test does not exist.' 2025-12-04T10:21:58.7481030Z Warning: cuda_complex_test does not exist. 2025-12-04T10:21:58.7481239Z + run_if_exists cuda_complex_math_test 2025-12-04T10:21:58.7481439Z + local test_name=cuda_complex_math_test 2025-12-04T10:21:58.7481644Z + [[ -x build/bin/cuda_complex_math_test ]] 2025-12-04T10:21:58.7481915Z + echo 'Warning: cuda_complex_math_test does not exist.' 2025-12-04T10:21:58.7482157Z Warning: cuda_complex_math_test does not exist. 2025-12-04T10:21:58.7482371Z + run_if_exists cuda_cub_test 2025-12-04T10:21:58.7482591Z + local test_name=cuda_cub_test 2025-12-04T10:21:58.7482774Z + [[ -x build/bin/cuda_cub_test ]] 2025-12-04T10:21:58.7482978Z + echo 'Warning: cuda_cub_test does not exist.' 2025-12-04T10:21:58.7483195Z Warning: cuda_cub_test does not exist. 2025-12-04T10:21:58.7483414Z + run_if_exists cuda_atomic_ops_test 2025-12-04T10:21:58.7483607Z + local test_name=cuda_atomic_ops_test 2025-12-04T10:21:58.7483795Z + [[ -x build/bin/cuda_atomic_ops_test ]] 2025-12-04T10:21:58.7484060Z + echo 'Warning: cuda_atomic_ops_test does not exist.' 2025-12-04T10:21:58.7484294Z Warning: cuda_atomic_ops_test does not exist. 2025-12-04T10:21:58.7484499Z + run_if_exists cuda_allocator_test 2025-12-04T10:21:58.7484705Z + local test_name=cuda_allocator_test 2025-12-04T10:21:58.7484930Z + [[ -x build/bin/cuda_allocator_test ]] 2025-12-04T10:21:58.7485149Z + echo 'Warning: cuda_allocator_test does not exist.' 2025-12-04T10:21:58.7485372Z Warning: cuda_allocator_test does not exist. 2025-12-04T10:21:58.7485617Z + '[' ON == ON ']' 2025-12-04T10:21:58.7486037Z + valgrind --suppressions=/var/lib/jenkins/workspace/aten/tools/valgrind.sup --error-exitcode=1 build/bin/basic '--gtest_filter=-*CUDA' 2025-12-04T10:21:58.7757871Z ==8334== Memcheck, a memory error detector 2025-12-04T10:21:58.7758348Z ==8334== Copyright (C) 2002-2022, and GNU GPL'd, by Julian Seward et al. 2025-12-04T10:21:58.7758742Z ==8334== Using Valgrind-3.20.0 and LibVEX; rerun with -h for copyright info 2025-12-04T10:21:58.7759101Z ==8334== Command: build/bin/basic --gtest_filter=-*CUDA 2025-12-04T10:21:58.7759628Z ==8334== 2025-12-04T10:21:59.2087331Z ==8334== Warning: set address range perms: large range [0x4a13000, 0x19ca2000) (defined) 2025-12-04T10:21:59.2087798Z ==8334== Warning: set address range perms: large range [0x5cf4000, 0x16cf4000) (defined) 2025-12-04T10:22:17.2362040Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc 2025-12-04T10:22:17.2588374Z Note: Google Test filter = -*CUDA 2025-12-04T10:22:17.2632599Z [==========] Running 6 tests from 1 test suite. 2025-12-04T10:22:17.2655370Z [----------] Global test environment set-up. 2025-12-04T10:22:17.2701434Z [----------] 6 tests from BasicTest 2025-12-04T10:22:17.2722878Z [ RUN ] BasicTest.BasicTestCPU 2025-12-04T10:22:18.2040200Z 262 ms 2025-12-04T10:22:18.2655087Z 39 ms 2025-12-04T10:22:18.3173447Z 46 ms 2025-12-04T10:22:18.7556246Z [ OK ] BasicTest.BasicTestCPU (1481 ms) 2025-12-04T10:22:18.7564763Z [ RUN ] BasicTest.BasicTestHalfCPU 2025-12-04T10:22:18.8687502Z 70 ms 2025-12-04T10:22:18.9063026Z 33 ms 2025-12-04T10:22:18.9536977Z 45 ms 2025-12-04T10:22:18.9943440Z [ OK ] BasicTest.BasicTestHalfCPU (229 ms) 2025-12-04T10:22:18.9943970Z [ RUN ] BasicTest.FactoryMethodsTest 2025-12-04T10:22:19.0178175Z [ OK ] BasicTest.FactoryMethodsTest (23 ms) 2025-12-04T10:22:19.0178627Z [ RUN ] BasicTest.BasicStdTestCPU 2025-12-04T10:22:19.1193553Z Simple example: called once 2025-12-04T10:22:19.1522239Z Didn't throw, call_once will not attempt again 2025-12-04T10:22:19.1538260Z [ OK ] BasicTest.BasicStdTestCPU (136 ms) 2025-12-04T10:22:19.1538545Z [ RUN ] BasicTest.TestForBlobResizeCPU 2025-12-04T10:22:19.1671236Z [ OK ] BasicTest.TestForBlobResizeCPU (12 ms) 2025-12-04T10:22:19.1671928Z [ RUN ] BasicTest.TestForBlobStridesResizeCPU 2025-12-04T10:22:19.1686188Z [ OK ] BasicTest.TestForBlobStridesResizeCPU (2 ms) 2025-12-04T10:22:19.1702260Z [----------] 6 tests from BasicTest (1897 ms total) 2025-12-04T10:22:19.1702428Z 2025-12-04T10:22:19.1712184Z [----------] Global test environment tear-down 2025-12-04T10:22:19.1732655Z [==========] 6 tests from 1 test suite ran. (1918 ms total) 2025-12-04T10:22:19.1745304Z [ PASSED ] 6 tests. 2025-12-04T10:22:20.5463087Z ==8334== 2025-12-04T10:22:20.5469070Z ==8334== HEAP SUMMARY: 2025-12-04T10:22:20.5469433Z ==8334== in use at exit: 430,867 bytes in 6,419 blocks 2025-12-04T10:22:20.5469725Z ==8334== total heap usage: 652,071 allocs, 645,652 frees, 198,307,973 bytes allocated 2025-12-04T10:22:20.5470028Z ==8334== 2025-12-04T10:22:20.5700929Z ==8334== LEAK SUMMARY: 2025-12-04T10:22:20.5701244Z ==8334== definitely lost: 0 bytes in 0 blocks 2025-12-04T10:22:20.5701526Z ==8334== indirectly lost: 0 bytes in 0 blocks 2025-12-04T10:22:20.5701817Z ==8334== possibly lost: 69,920 bytes in 2 blocks 2025-12-04T10:22:20.5702335Z ==8334== still reachable: 360,947 bytes in 6,417 blocks 2025-12-04T10:22:20.5702593Z ==8334== suppressed: 0 bytes in 0 blocks 2025-12-04T10:22:20.5702873Z ==8334== Rerun with --leak-check=full to see details of leaked memory 2025-12-04T10:22:20.5703108Z ==8334== 2025-12-04T10:22:20.5703303Z ==8334== For lists of detected and suppressed errors, rerun with: -s 2025-12-04T10:22:20.5703597Z ==8334== ERROR SUMMARY: 0 errors from 0 contexts (suppressed: 0 from 0) 2025-12-04T10:22:20.6033578Z + [[ -x build/bin/tensor_interop_test ]] 2025-12-04T10:22:20.6033851Z + [[ -n '' ]] 2025-12-04T10:22:20.6034046Z + assert_git_not_dirty 2025-12-04T10:22:20.6034512Z + [[ linux-jammy-py3.11-clang12 != *rocm* ]] 2025-12-04T10:22:20.6034752Z + [[ linux-jammy-py3.11-clang12 != *xla* ]] 2025-12-04T10:22:20.6039113Z ++ git status --porcelain 2025-12-04T10:22:20.6039814Z ++ grep -v '?? third_party' 2025-12-04T10:22:20.8216853Z ++ true 2025-12-04T10:22:20.8217078Z + git_status= 2025-12-04T10:22:20.8217251Z + [[ -n '' ]] 2025-12-04T10:22:20.8244611Z + sccache_epilogue 2025-12-04T10:22:20.8244973Z + echo '::group::Sccache Compilation Log' 2025-12-04T10:22:20.8245878Z ##[group]Sccache Compilation Log 2025-12-04T10:22:20.8246112Z + echo '=================== sccache compilation log ===================' 2025-12-04T10:22:20.8246374Z =================== sccache compilation log =================== 2025-12-04T10:22:20.8246731Z + python /var/lib/jenkins/workspace/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log 2025-12-04T10:22:20.8340998Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ===========' 2025-12-04T10:22:20.8341494Z =========== If your build fails, please take a look at the log above for possible reasons =========== 2025-12-04T10:22:20.8341792Z + sccache --show-stats 2025-12-04T10:22:20.8377930Z Compile requests 122 2025-12-04T10:22:20.8378205Z Compile requests executed 49 2025-12-04T10:22:20.8378418Z Cache hits 9 2025-12-04T10:22:20.8378617Z Cache hits (C/C++) 9 2025-12-04T10:22:20.8378798Z Cache misses 40 2025-12-04T10:22:20.8378990Z Cache misses (C/C++) 40 2025-12-04T10:22:20.8379183Z Cache hits rate 18.37 % 2025-12-04T10:22:20.8379374Z Cache hits rate (C/C++) 18.37 % 2025-12-04T10:22:20.8379564Z Cache timeouts 0 2025-12-04T10:22:20.8379754Z Cache read errors 0 2025-12-04T10:22:20.8380037Z Forced recaches 0 2025-12-04T10:22:20.8380273Z Cache write errors 0 2025-12-04T10:22:20.8380493Z Cache errors 0 2025-12-04T10:22:20.8380766Z Compilations 40 2025-12-04T10:22:20.8380990Z Compilation failures 0 2025-12-04T10:22:20.8381256Z Non-cacheable compilations 0 2025-12-04T10:22:20.8381580Z Non-cacheable calls 1 2025-12-04T10:22:20.8381805Z Non-compilation calls 72 2025-12-04T10:22:20.8382050Z Unsupported compiler calls 0 2025-12-04T10:22:20.8382248Z Average cache write 0.047 s 2025-12-04T10:22:20.8382441Z Average compiler 9.901 s 2025-12-04T10:22:20.8382635Z Average cache read hit 0.081 s 2025-12-04T10:22:20.8382836Z Failed distributed compilations 0 2025-12-04T10:22:20.8382972Z 2025-12-04T10:22:20.8383046Z Non-cacheable reasons: 2025-12-04T10:22:20.8383208Z -E 1 2025-12-04T10:22:20.8383336Z 2025-12-04T10:22:20.8383480Z Cache location s3, name: ossci-compiler-cache-circleci-v2, prefix: / 2025-12-04T10:22:20.8383754Z Version (client) 0.10.0 2025-12-04T10:22:20.8383939Z + sccache --stop-server 2025-12-04T10:22:20.8396956Z Stopping sccache server... 2025-12-04T10:22:20.8398849Z Compile requests 122 2025-12-04T10:22:20.8399323Z Compile requests executed 49 2025-12-04T10:22:20.8399615Z Cache hits 9 2025-12-04T10:22:20.8399907Z Cache hits (C/C++) 9 2025-12-04T10:22:20.8400193Z Cache misses 40 2025-12-04T10:22:20.8400478Z Cache misses (C/C++) 40 2025-12-04T10:22:20.8400744Z Cache hits rate 18.37 % 2025-12-04T10:22:20.8400944Z Cache hits rate (C/C++) 18.37 % 2025-12-04T10:22:20.8401133Z Cache timeouts 0 2025-12-04T10:22:20.8401317Z Cache read errors 0 2025-12-04T10:22:20.8401583Z Forced recaches 0 2025-12-04T10:22:20.8401829Z Cache write errors 0 2025-12-04T10:22:20.8402423Z Cache errors 0 2025-12-04T10:22:20.8402671Z Compilations 40 2025-12-04T10:22:20.8402924Z Compilation failures 0 2025-12-04T10:22:20.8403175Z Non-cacheable compilations 0 2025-12-04T10:22:20.8403375Z Non-cacheable calls 1 2025-12-04T10:22:20.8403566Z Non-compilation calls 72 2025-12-04T10:22:20.8403754Z Unsupported compiler calls 0 2025-12-04T10:22:20.8404007Z Average cache write 0.047 s 2025-12-04T10:22:20.8404207Z Average compiler 9.901 s 2025-12-04T10:22:20.8404398Z Average cache read hit 0.081 s 2025-12-04T10:22:20.8404597Z Failed distributed compilations 0 2025-12-04T10:22:20.8404723Z 2025-12-04T10:22:20.8404799Z Non-cacheable reasons: 2025-12-04T10:22:20.8404969Z -E 1 2025-12-04T10:22:20.8405094Z 2025-12-04T10:22:20.8405258Z Cache location s3, name: ossci-compiler-cache-circleci-v2, prefix: / 2025-12-04T10:22:20.8405532Z Version (client) 0.10.0 2025-12-04T10:22:20.8405739Z + echo ::endgroup:: 2025-12-04T10:22:20.8406111Z ##[endgroup] 2025-12-04T10:22:20.8406255Z + cleanup_workspace 2025-12-04T10:22:20.8406553Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.' 2025-12-04T10:22:20.8406984Z sudo may print the following warning message that can be ignored. The chown command will still run. 2025-12-04T10:22:20.8407340Z + echo ' sudo: setrlimit(RLIMIT_STACK): Operation not permitted' 2025-12-04T10:22:20.8407610Z sudo: setrlimit(RLIMIT_STACK): Operation not permitted 2025-12-04T10:22:20.8407938Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42' 2025-12-04T10:22:20.8408301Z For more details refer to https://github.com/sudo-project/sudo/issues/42 2025-12-04T10:22:20.8408576Z + sudo chown -R 1000 /var/lib/jenkins/workspace 2025-12-04T10:22:24.2662397Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main 2025-12-04T10:22:24.2662700Z with: 2025-12-04T10:22:24.2662881Z benchmark-results-dir: test/test-reports 2025-12-04T10:22:24.2663080Z dry-run: false 2025-12-04T10:22:24.2663246Z schema-version: v3 2025-12-04T10:22:24.2663603Z github-token: *** 2025-12-04T10:22:24.2663813Z env: 2025-12-04T10:22:24.2664002Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:22:24.2664332Z HAS_NVIDIA_GPU: false 2025-12-04T10:22:24.2664694Z DOCKER_CONTAINER_ID: 6e00bad4f02eda5203b2bd3cc85146766687a298ec856060004b50978dc1d52b 2025-12-04T10:22:24.2665082Z ##[endgroup] 2025-12-04T10:22:24.2677865Z ##[group]Run set -eux 2025-12-04T10:22:24.2678067Z set -eux 2025-12-04T10:22:24.2678220Z  2025-12-04T10:22:24.2678366Z if [[ -n "" ]]; then 2025-12-04T10:22:24.2678547Z  source "" 2025-12-04T10:22:24.2678708Z fi 2025-12-04T10:22:24.2678967Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-12-04T10:22:24.2679221Z  2025-12-04T10:22:24.2679363Z DEVICE_NAME="" 2025-12-04T10:22:24.2679534Z DEVICE_TYPE="" 2025-12-04T10:22:24.2679694Z  2025-12-04T10:22:24.2679837Z if command -v nvidia-smi; then 2025-12-04T10:22:24.2680109Z  # NB: I'm using PyTorch here to get the device name, however, it needs to 2025-12-04T10:22:24.2680439Z  # install the correct version of PyTorch manually for now. Any PyTorch 2025-12-04T10:22:24.2680742Z  # version is fine, I just use 2.7.1 to satify PYPIDEP linter 2025-12-04T10:22:24.2681000Z  python3 -mpip install torch==2.7.1 2025-12-04T10:22:24.2681205Z elif command -v rocminfo; then 2025-12-04T10:22:24.2681484Z  # NB: Installing torch on ROCm runner with pip here causes CI to fail 2025-12-04T10:22:24.2681804Z  # with a memoryview is too large error only on MI300 runners. Is pip 2025-12-04T10:22:24.2682115Z  # version on ROCm runner there too old? As a workaround, let's use the 2025-12-04T10:22:24.2682397Z  # GPU device name coming from rocminfo instead 2025-12-04T10:22:24.2682617Z  DEVICE_NAME=rocm 2025-12-04T10:22:24.2682896Z  DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs) 2025-12-04T10:22:24.2683175Z fi 2025-12-04T10:22:24.2683315Z  2025-12-04T10:22:24.2683486Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV 2025-12-04T10:22:24.2683800Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-12-04T10:22:24.2876188Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:22:24.2876433Z env: 2025-12-04T10:22:24.2876580Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:22:24.2876757Z HAS_NVIDIA_GPU: false 2025-12-04T10:22:24.2877042Z DOCKER_CONTAINER_ID: 6e00bad4f02eda5203b2bd3cc85146766687a298ec856060004b50978dc1d52b 2025-12-04T10:22:24.2877335Z ##[endgroup] 2025-12-04T10:22:24.2909530Z + [[ -n '' ]] 2025-12-04T10:22:24.2909784Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-12-04T10:22:24.6928133Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T10:22:25.4386669Z Collecting boto3==1.35.33 2025-12-04T10:22:25.4539661Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-12-04T10:22:25.6789794Z Collecting psutil==7.0.0 2025-12-04T10:22:25.6826524Z 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) 2025-12-04T10:22:25.7056315Z Collecting pynvml==12.0.0 2025-12-04T10:22:25.7092569Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-12-04T10:22:26.4831450Z Collecting botocore<1.36.0,>=1.35.33 2025-12-04T10:22:26.4871469Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-12-04T10:22:26.5986120Z Collecting s3transfer<0.11.0,>=0.10.0 2025-12-04T10:22:26.6025279Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-12-04T10:22:26.6067018Z 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) 2025-12-04T10:22:26.6387215Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-12-04T10:22:26.6421814Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-12-04T10:22:26.6494410Z 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) 2025-12-04T10:22:26.6495809Z 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) 2025-12-04T10:22:26.7945685Z 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) 2025-12-04T10:22:26.9021404Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3 2025-12-04T10:22:27.2373899Z Attempting uninstall: nvidia-ml-py 2025-12-04T10:22:27.2376084Z Found existing installation: nvidia-ml-py 11.525.84 2025-12-04T10:22:27.2392241Z Uninstalling nvidia-ml-py-11.525.84: 2025-12-04T10:22:27.2716036Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-12-04T10:22:27.3177816Z Attempting uninstall: psutil 2025-12-04T10:22:27.3178301Z Found existing installation: psutil 5.9.8 2025-12-04T10:22:27.3229456Z Uninstalling psutil-5.9.8: 2025-12-04T10:22:27.3232896Z Successfully uninstalled psutil-5.9.8 2025-12-04T10:22:27.4486605Z 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 2025-12-04T10:22:27.5528583Z + DEVICE_NAME= 2025-12-04T10:22:27.5530179Z + DEVICE_TYPE= 2025-12-04T10:22:27.5530456Z + command -v nvidia-smi 2025-12-04T10:22:27.5530721Z + command -v rocminfo 2025-12-04T10:22:27.5530969Z + echo DEVICE_NAME= 2025-12-04T10:22:27.5531162Z + echo DEVICE_TYPE= 2025-12-04T10:22:27.5547795Z ##[group]Run set -eux 2025-12-04T10:22:27.5547975Z set -eux 2025-12-04T10:22:27.5548123Z  2025-12-04T10:22:27.5548290Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-12-04T10:22:27.5548504Z  echo "Missing github-token input" 2025-12-04T10:22:27.5548696Z  exit 1 2025-12-04T10:22:27.5548838Z fi 2025-12-04T10:22:27.5554339Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:22:27.5554578Z env: 2025-12-04T10:22:27.5554730Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:22:27.5554986Z HAS_NVIDIA_GPU: false 2025-12-04T10:22:27.5555270Z DOCKER_CONTAINER_ID: 6e00bad4f02eda5203b2bd3cc85146766687a298ec856060004b50978dc1d52b 2025-12-04T10:22:27.5555567Z DEVICE_NAME: 2025-12-04T10:22:27.5555729Z DEVICE_TYPE: 2025-12-04T10:22:27.5556073Z GITHUB_TOKEN: *** 2025-12-04T10:22:27.5556239Z ##[endgroup] 2025-12-04T10:22:27.5577688Z + [[ -z *** ]] 2025-12-04T10:22:27.5613912Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-12-04T10:22:27.5614210Z with: 2025-12-04T10:22:27.5614475Z github-token: *** 2025-12-04T10:22:27.5614627Z env: 2025-12-04T10:22:27.5614779Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:22:27.5614957Z HAS_NVIDIA_GPU: false 2025-12-04T10:22:27.5615233Z DOCKER_CONTAINER_ID: 6e00bad4f02eda5203b2bd3cc85146766687a298ec856060004b50978dc1d52b 2025-12-04T10:22:27.5615547Z DEVICE_NAME: 2025-12-04T10:22:27.5615705Z DEVICE_TYPE: 2025-12-04T10:22:27.5615858Z ##[endgroup] 2025-12-04T10:22:27.5626783Z ##[group]Run set -eux 2025-12-04T10:22:27.5627012Z set -eux 2025-12-04T10:22:27.5627196Z  2025-12-04T10:22:27.5627480Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-12-04T10:22:27.5631184Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:22:27.5631414Z env: 2025-12-04T10:22:27.5631563Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:22:27.5631737Z HAS_NVIDIA_GPU: false 2025-12-04T10:22:27.5632111Z DOCKER_CONTAINER_ID: 6e00bad4f02eda5203b2bd3cc85146766687a298ec856060004b50978dc1d52b 2025-12-04T10:22:27.5632400Z DEVICE_NAME: 2025-12-04T10:22:27.5632552Z DEVICE_TYPE: 2025-12-04T10:22:27.5632810Z GITHUB_TOKEN: *** 2025-12-04T10:22:27.5632960Z ##[endgroup] 2025-12-04T10:22:27.5653088Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 19922796517 i-015b10e12ba3bb968 2025-12-04T10:22:28.2186118Z setting job-id=57116440080 2025-12-04T10:22:28.2187658Z setting job-name=dynamo-test (3.11) / test (dynamo_wrapped, 1, 3, linux.c7i.2xlarge) 2025-12-04T10:22:28.2275280Z ##[group]Run set -eux 2025-12-04T10:22:28.2275470Z set -eux 2025-12-04T10:22:28.2275612Z  2025-12-04T10:22:28.2275760Z if [[ -n "" ]]; then 2025-12-04T10:22:28.2275936Z  source "" 2025-12-04T10:22:28.2276075Z fi 2025-12-04T10:22:28.2276214Z  2025-12-04T10:22:28.2276463Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-12-04T10:22:28.2276770Z  --schema-version "${SCHEMA_VERSION}" \ 2025-12-04T10:22:28.2276976Z  --repo "${REPO}" \ 2025-12-04T10:22:28.2277168Z  --head-branch "${HEAD_BRANCH}" \ 2025-12-04T10:22:28.2277371Z  --head-sha "${HEAD_SHA}" \ 2025-12-04T10:22:28.2277572Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-12-04T10:22:28.2277796Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-12-04T10:22:28.2277999Z  --job-id "${JOB_ID}" \ 2025-12-04T10:22:28.2278180Z  --job-name "${JOB_NAME}" 2025-12-04T10:22:28.2282286Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:22:28.2282513Z env: 2025-12-04T10:22:28.2282671Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:22:28.2282840Z HAS_NVIDIA_GPU: false 2025-12-04T10:22:28.2283115Z DOCKER_CONTAINER_ID: 6e00bad4f02eda5203b2bd3cc85146766687a298ec856060004b50978dc1d52b 2025-12-04T10:22:28.2283409Z DEVICE_NAME: 2025-12-04T10:22:28.2283560Z DEVICE_TYPE: 2025-12-04T10:22:28.2283709Z SCHEMA_VERSION: v3 2025-12-04T10:22:28.2283872Z REPO: pytorch/pytorch 2025-12-04T10:22:28.2284033Z HEAD_BRANCH: refs/heads/main 2025-12-04T10:22:28.2284243Z HEAD_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T10:22:28.2284460Z WORKFLOW_RUN_ID: 19922796517 2025-12-04T10:22:28.2284619Z RUN_ATTEMPT: 1 2025-12-04T10:22:28.2284806Z JOB_ID: 57116440080 2025-12-04T10:22:28.2285034Z JOB_NAME: dynamo-test (3.11) / test (dynamo_wrapped, 1, 3, linux.c7i.2xlarge) 2025-12-04T10:22:28.2285371Z ##[endgroup] 2025-12-04T10:22:28.2308054Z + [[ -n '' ]] 2025-12-04T10:22:28.2309263Z + 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 57116440080 --job-name 'dynamo-test (3.11) / test (dynamo_wrapped, 1, 3, linux.c7i.2xlarge)' 2025-12-04T10:22:28.2550735Z ##[group]Run set -eux 2025-12-04T10:22:28.2550918Z set -eux 2025-12-04T10:22:28.2551069Z  2025-12-04T10:22:28.2551208Z if [[ -n "" ]]; then 2025-12-04T10:22:28.2551380Z  source "" 2025-12-04T10:22:28.2551530Z fi 2025-12-04T10:22:28.2551660Z  2025-12-04T10:22:28.2551906Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-12-04T10:22:28.2555554Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:22:28.2555780Z env: 2025-12-04T10:22:28.2555918Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:22:28.2556087Z HAS_NVIDIA_GPU: false 2025-12-04T10:22:28.2556364Z DOCKER_CONTAINER_ID: 6e00bad4f02eda5203b2bd3cc85146766687a298ec856060004b50978dc1d52b 2025-12-04T10:22:28.2556645Z DEVICE_NAME: 2025-12-04T10:22:28.2556793Z DEVICE_TYPE: 2025-12-04T10:22:28.2557049Z ##[endgroup] 2025-12-04T10:22:28.2574867Z + [[ -n '' ]] 2025-12-04T10:22:28.2577111Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-12-04T10:22:28.2882136Z INFO:root:Fail to import torch to get the device name 2025-12-04T10:22:28.2956205Z ##[group]Run set -eux 2025-12-04T10:22:28.2956384Z set -eux 2025-12-04T10:22:28.2956601Z  2025-12-04T10:22:28.2956772Z # TODO (huydhn): Implement this part 2025-12-04T10:22:28.2957011Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-12-04T10:22:28.2960599Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:22:28.2960830Z env: 2025-12-04T10:22:28.2960982Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:22:28.2961146Z HAS_NVIDIA_GPU: false 2025-12-04T10:22:28.2961418Z DOCKER_CONTAINER_ID: 6e00bad4f02eda5203b2bd3cc85146766687a298ec856060004b50978dc1d52b 2025-12-04T10:22:28.2961716Z DEVICE_NAME: 2025-12-04T10:22:28.2961862Z DEVICE_TYPE: 2025-12-04T10:22:28.2962002Z ##[endgroup] 2025-12-04T10:22:28.2979230Z + echo 'dependencies={}' 2025-12-04T10:22:28.2993601Z ##[group]Run set -eux 2025-12-04T10:22:28.2993827Z set -eux 2025-12-04T10:22:28.2993978Z  2025-12-04T10:22:28.2994131Z if [[ -n "" ]]; then 2025-12-04T10:22:28.2994299Z  source "" 2025-12-04T10:22:28.2994461Z fi 2025-12-04T10:22:28.2994600Z  2025-12-04T10:22:28.2994765Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-12-04T10:22:28.2995032Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-12-04T10:22:28.2995323Z  # We don't want the job to fail if the directory doesn't exist 2025-12-04T10:22:28.2995553Z  exit 0 2025-12-04T10:22:28.2995689Z fi 2025-12-04T10:22:28.2995827Z  2025-12-04T10:22:28.2995981Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-12-04T10:22:28.2996271Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-12-04T10:22:28.2996593Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-12-04T10:22:28.2996848Z  --metadata "${BENCHMARK_METADATA}" \ 2025-12-04T10:22:28.2997062Z  --runners "${RUNNER_INFO}" \ 2025-12-04T10:22:28.2997267Z  --dependencies "${DEPENDENCIES}" \ 2025-12-04T10:22:28.2997470Z  --dry-run 2025-12-04T10:22:28.2997627Z else 2025-12-04T10:22:28.2997927Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-12-04T10:22:28.2998245Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-12-04T10:22:28.2998492Z  --metadata "${BENCHMARK_METADATA}" \ 2025-12-04T10:22:28.2998701Z  --runners "${RUNNER_INFO}" \ 2025-12-04T10:22:28.2998897Z  --dependencies "${DEPENDENCIES}" 2025-12-04T10:22:28.2999085Z fi 2025-12-04T10:22:28.3003242Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:22:28.3003471Z env: 2025-12-04T10:22:28.3003622Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:22:28.3003789Z HAS_NVIDIA_GPU: false 2025-12-04T10:22:28.3004066Z DOCKER_CONTAINER_ID: 6e00bad4f02eda5203b2bd3cc85146766687a298ec856060004b50978dc1d52b 2025-12-04T10:22:28.3004356Z DEVICE_NAME: 2025-12-04T10:22:28.3004507Z DEVICE_TYPE: 2025-12-04T10:22:28.3004673Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-12-04T10:22:28.3004870Z DRY_RUN: false 2025-12-04T10:22:28.3005557Z BENCHMARK_METADATA: {"timestamp": 1764843748, "schema_version": "v3", "name": "dynamo-test (3.11) / 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": 57116440080} 2025-12-04T10:22:28.3006497Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 8, "avail_mem_in_gb": 15, "extra_info": {"hostname": "ip-10-0-1-6.ec2.internal"}, "name": "", "type": ""}] 2025-12-04T10:22:28.3006841Z DEPENDENCIES: {} 2025-12-04T10:22:28.3006998Z ##[endgroup] 2025-12-04T10:22:28.3024732Z + [[ -n '' ]] 2025-12-04T10:22:28.3024909Z + [[ ! -d test/test-reports ]] 2025-12-04T10:22:28.3025161Z + [[ false == \t\r\u\e ]] 2025-12-04T10:22:28.3026712Z + 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": 1764843748, "schema_version": "v3", "name": "dynamo-test (3.11) / 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": 57116440080}' --runners '[{"cpu_info": "x86_64", "cpu_count": 8, "avail_mem_in_gb": 15, "extra_info": {"hostname": "ip-10-0-1-6.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}' 2025-12-04T10:22:28.4868495Z /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/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_dims'}, {'test_file': 'functorch/test_eager_transforms'}, {'test_file': 'functorch/test_logging'}, {'test_file': 'functorch/test_memory_efficient_fusion'}, {'test_file': 'functorch/test_minifier'}, {'test_file': 'functorch/test_ops'}, {'test_file': 'functorch/test_parsing'}, {'test_file': 'functorch/test_rearrange'}, {'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_multiarray'}, {'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-a8d93dee375f1bb0c280.json is not a benchmark record, skipping 2025-12-04T10:22:28.4893547Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T10:22:28.4896318Z /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-0d72cce1d7b8b69810a5.json is not a benchmark record, skipping 2025-12-04T10:22:28.4898275Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T10:22:28.5071966Z ##[group]Run cat test/**/*_toprint.log || true 2025-12-04T10:22:28.5072226Z cat test/**/*_toprint.log || true 2025-12-04T10:22:28.5076957Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:22:28.5077184Z env: 2025-12-04T10:22:28.5077343Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:22:28.5077520Z HAS_NVIDIA_GPU: false 2025-12-04T10:22:28.5077792Z DOCKER_CONTAINER_ID: 6e00bad4f02eda5203b2bd3cc85146766687a298ec856060004b50978dc1d52b 2025-12-04T10:22:28.5078083Z DEVICE_NAME: 2025-12-04T10:22:28.5078236Z DEVICE_TYPE: 2025-12-04T10:22:28.5078385Z ##[endgroup] 2025-12-04T10:22:28.5149930Z cat: 'test/**/*_toprint.log': No such file or directory 2025-12-04T10:22:28.5172785Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-12-04T10:22:28.5173032Z kill "$MONITOR_SCRIPT_PID" 2025-12-04T10:22:28.5176822Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:22:28.5177056Z env: 2025-12-04T10:22:28.5177210Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:22:28.5177379Z HAS_NVIDIA_GPU: false 2025-12-04T10:22:28.5177651Z DOCKER_CONTAINER_ID: 6e00bad4f02eda5203b2bd3cc85146766687a298ec856060004b50978dc1d52b 2025-12-04T10:22:28.5177939Z DEVICE_NAME: 2025-12-04T10:22:28.5178087Z DEVICE_TYPE: 2025-12-04T10:22:28.5178235Z MONITOR_SCRIPT_PID: 43888 2025-12-04T10:22:28.5178404Z ##[endgroup] 2025-12-04T10:22:28.5197008Z /home/ec2-user/actions-runner/_work/_temp/00c5959b-6326-464b-868f-d8db81fa83c8.sh: line 1: kill: (43888) - No such process 2025-12-04T10:22:28.5199601Z ##[error]Process completed with exit code 1. 2025-12-04T10:22:28.5270870Z Prepare all required actions 2025-12-04T10:22:28.5271166Z Getting action download info 2025-12-04T10:22:28.7096640Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-12-04T10:22:28.9376585Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-12-04T10:22:29.3723910Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-12-04T10:22:29.3724130Z with: 2025-12-04T10:22:29.3724355Z file-suffix: test-dynamo_wrapped-1-3-linux.c7i.2xlarge_57116440080 2025-12-04T10:22:29.3724615Z s3-bucket: gha-artifacts 2025-12-04T10:22:29.3724782Z env: 2025-12-04T10:22:29.3724934Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:22:29.3725104Z HAS_NVIDIA_GPU: false 2025-12-04T10:22:29.3725378Z DOCKER_CONTAINER_ID: 6e00bad4f02eda5203b2bd3cc85146766687a298ec856060004b50978dc1d52b 2025-12-04T10:22:29.3725664Z DEVICE_NAME: 2025-12-04T10:22:29.3725814Z DEVICE_TYPE: 2025-12-04T10:22:29.3726027Z ##[endgroup] 2025-12-04T10:22:29.3742859Z ##[group]Run # Remove any previous test jsons if they exist 2025-12-04T10:22:29.3743221Z # Remove any previous test jsons if they exist 2025-12-04T10:22:29.3743534Z rm -f test-jsons-*.zip 2025-12-04T10:22:29.3743863Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-12-04T10:22:29.3748438Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:22:29.3748676Z env: 2025-12-04T10:22:29.3748832Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:22:29.3749008Z HAS_NVIDIA_GPU: false 2025-12-04T10:22:29.3749276Z DOCKER_CONTAINER_ID: 6e00bad4f02eda5203b2bd3cc85146766687a298ec856060004b50978dc1d52b 2025-12-04T10:22:29.3749563Z DEVICE_NAME: 2025-12-04T10:22:29.3749714Z DEVICE_TYPE: 2025-12-04T10:22:29.3749928Z FILE_SUFFIX: test-dynamo_wrapped-1-3-linux.c7i.2xlarge_57116440080 2025-12-04T10:22:29.3750172Z ##[endgroup] 2025-12-04T10:22:29.3888141Z adding: test/test-reports/td_exclusions-a8d93dee375f1bb0c280.json (deflated 82%) 2025-12-04T10:22:29.3890194Z adding: test/test-reports/python-pytest/distributions.test_distributions/distributions.test_distributions-83674df0491c9db3.json (deflated 94%) 2025-12-04T10:22:29.3892013Z adding: test/test-reports/python-pytest/distributions.test_distributions/distributions.test_distributions-5eff7594cf468b17.json (deflated 95%) 2025-12-04T10:22:29.3894529Z adding: test/test-reports/python-pytest/nn.test_pooling/nn.test_pooling-402a27797e3ab7a1.json (deflated 93%) 2025-12-04T10:22:29.3895172Z adding: test/test-reports/python-pytest/test_autocast/test_autocast-6e7aa661e2d72e68.json (deflated 91%) 2025-12-04T10:22:29.3896491Z adding: test/test-reports/python-pytest/test_autograd_fallback/test_autograd_fallback-79c365e2f74b5fc8.json (deflated 90%) 2025-12-04T10:22:29.3916310Z adding: test/test-reports/python-pytest/test_cpp_api_parity/test_cpp_api_parity-61c8a76edc5dab6c.json (deflated 98%) 2025-12-04T10:22:29.3916871Z adding: test/test-reports/python-pytest/test_jit_disabled/test_jit_disabled-934a110a54928a35.json (deflated 72%) 2025-12-04T10:22:29.3917574Z adding: test/test-reports/python-pytest/test_mobile_optimizer/test_mobile_optimizer-6df7e5ded5093331.json (deflated 83%) 2025-12-04T10:22:29.3922038Z adding: test/test-reports/python-pytest/test_multiprocessing/test_multiprocessing-9279013d8e80d368.json (deflated 92%) 2025-12-04T10:22:29.3925132Z adding: test/test-reports/python-pytest/test_multiprocessing_spawn/test_multiprocessing_spawn-b20b0fbdc7308990.json (deflated 91%) 2025-12-04T10:22:29.3947143Z adding: test/test-reports/python-pytest/test_nn/test_nn-ea2f2a2e9f30bc51.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-be234f35962a1791.json (stored 0%) 2025-12-04T10:22:29.4268181Z adding: test/test-reports/python-pytest/cpp_extensions.python_agnostic_extension.test.test_python_agnostic/cpp_extensions.python_agnostic_extension.test.test_python_agnostic-42653b5a851dade5.json (stored 0%) 2025-12-04T10:22:29.4268908Z adding: test/test-reports/python-pytest/test_cuda_sanitizer/test_cuda_sanitizer-e2b8ce47ef555d71.json (stored 0%) 2025-12-04T10:22:29.4269427Z adding: test/test-reports/python-pytest/test_cuda_sanitizer/test_cuda_sanitizer-308a42d76a62ece3.json (stored 0%) 2025-12-04T10:22:29.4270132Z adding: test/test-reports/python-pytest/test_unary_ufuncs/test_unary_ufuncs-2e4290d1f650fbb8.json (stored 0%) 2025-12-04T10:22:29.4490093Z adding: test/test-reports/python-pytest/test_unary_ufuncs/test_unary_ufuncs-b8faa705078f5751.json (deflated 99%) 2025-12-04T10:22:29.4490813Z adding: test/test-reports/python-pytest/xpu.test_conv/xpu.test_conv-9996fd3b41275099.json (stored 0%) 2025-12-04T10:22:29.4491385Z adding: test/test-reports/python-pytest/xpu.test_conv/xpu.test_conv-091f142aa9cb787f.json (stored 0%) 2025-12-04T10:22:29.4492034Z adding: test/test-reports/python-unittest/test_autoload/TEST-TestDeviceBackendAutoload-20251204091538.json (deflated 37%) 2025-12-04T10:22:29.4492639Z adding: test/test-reports/td_exclusions-0d72cce1d7b8b69810a5.json (deflated 73%) 2025-12-04T10:22:29.4513834Z ##[group]Run # Remove any previous test reports if they exist 2025-12-04T10:22:29.4514153Z # Remove any previous test reports if they exist 2025-12-04T10:22:29.4514408Z rm -f test-reports-*.zip 2025-12-04T10:22:29.4514697Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv' 2025-12-04T10:22:29.4518837Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:22:29.4519072Z env: 2025-12-04T10:22:29.4519223Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:22:29.4519395Z HAS_NVIDIA_GPU: false 2025-12-04T10:22:29.4519676Z DOCKER_CONTAINER_ID: 6e00bad4f02eda5203b2bd3cc85146766687a298ec856060004b50978dc1d52b 2025-12-04T10:22:29.4519974Z DEVICE_NAME: 2025-12-04T10:22:29.4520124Z DEVICE_TYPE: 2025-12-04T10:22:29.4520345Z FILE_SUFFIX: test-dynamo_wrapped-1-3-linux.c7i.2xlarge_57116440080 2025-12-04T10:22:29.4520594Z ##[endgroup] 2025-12-04T10:22:29.4579454Z adding: test/test-reports/python-pytest/distributions.test_distributions/distributions.test_distributions-83674df0491c9db3.xml (deflated 91%) 2025-12-04T10:22:29.4580352Z adding: test/test-reports/python-pytest/distributions.test_distributions/distributions.test_distributions-5eff7594cf468b17.xml (deflated 93%) 2025-12-04T10:22:29.4582126Z adding: test/test-reports/python-pytest/nn.test_pooling/nn.test_pooling-402a27797e3ab7a1.xml (deflated 89%) 2025-12-04T10:22:29.4582668Z adding: 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2025-12-04T10:22:29.5624339Z adding: test/test-reports/dynamo.test_streams_1.1_16d82917e5f1f872_.log (stored 0%) 2025-12-04T10:22:29.5624703Z adding: test/test-reports/dynamo.test_subgraphs_1.1_1d01c75c29d85474_.log (stored 0%) 2025-12-04T10:22:29.5625117Z adding: test/test-reports/dynamo.test_regional_inductor_1.1_d2aea112ebe2a0da_.log (stored 0%) 2025-12-04T10:22:29.5625500Z adding: test/test-reports/cpp.Dimname_test_1.1_fb8e55304ea4b8b1_.log (deflated 57%) 2025-12-04T10:22:29.5625885Z adding: test/test-reports/cpp.cpu_generator_test_1.1_dd07e374ca696578_.log (deflated 78%) 2025-12-04T10:22:29.5626250Z adding: test/test-reports/dynamo.test_unittest_1.1_c0affc8aca4c9f3c_.log (stored 0%) 2025-12-04T10:22:29.5626632Z adding: test/test-reports/dynamo.test_verify_correctness_1.1_210d1ff2066dc2a4_.log (stored 0%) 2025-12-04T10:22:29.5627004Z adding: test/test-reports/cpp.native_test_1.1_c7f09880a262b932_.log (deflated 50%) 2025-12-04T10:22:29.5627363Z adding: test/test-reports/optim.test_optim_1.1_b0485cadc12f6a75_.log (deflated 7%) 2025-12-04T10:22:29.5627745Z adding: test/test-reports/test_appending_byte_serializer_1.1_9db6f22a62a52320_.log (stored 0%) 2025-12-04T10:22:29.5628149Z adding: test/test-reports/cpp.tensor_iterator_test_1.1_1f766c45ebdadf32_.log (deflated 88%) 2025-12-04T10:22:29.5628514Z adding: test/test-reports/functorch.test_ac_1.1_e71c538b6331ecc8_.log (stored 0%) 2025-12-04T10:22:29.5628877Z adding: test/test-reports/test_cuda_sanitizer_1.1_643a0a39d584018b_.log (deflated 49%) 2025-12-04T10:22:29.5629231Z adding: test/test-reports/test_opaque_obj_v2_1.1_ebe4c2dcf0e9530e_.log (stored 0%) 2025-12-04T10:22:29.5629574Z adding: test/test-reports/cpp.scalar_test_1.1_b46d6ab5346837cf_.log (deflated 56%) 2025-12-04T10:22:29.5629918Z adding: test/test-reports/xpu.test_conv_1.1_e085f16f7a610c1d_.log (deflated 48%) 2025-12-04T10:22:29.5825913Z adding: test/test-reports/test_unary_ufuncs_2.2_6712892e76863457_.log (deflated 96%) 2025-12-04T10:22:29.5827378Z adding: test/test-reports/cpp.Dict_test_1.1_bc2ac55076b12129_.log (deflated 42%) 2025-12-04T10:22:29.5827807Z adding: test/test-reports/cpp.Dimname_test_1.1_aae9bd3f4634b7c1_.log (deflated 42%) 2025-12-04T10:22:29.5828186Z adding: test/test-reports/cpp.NamedTensor_test_1.1_5aa86bbaafa980f0_.log (deflated 42%) 2025-12-04T10:22:29.5828717Z adding: test/test-reports/cpp.apply_utils_test_1.1_0a782791349edfb6_.log (deflated 42%) 2025-12-04T10:22:29.5829542Z adding: test/test-reports/cpp.atest_1.1_bdabb5c4b24cf51b_.log (deflated 42%) 2025-12-04T10:22:29.5829933Z adding: test/test-reports/cpp.basic_1.1_4cf8c3387519557f_.log (deflated 42%) 2025-12-04T10:22:29.5830309Z adding: test/test-reports/cpp.broadcast_test_1.1_f1097a83e0bb21c0_.log (deflated 42%) 2025-12-04T10:22:29.5830717Z adding: test/test-reports/cpp.cpu_generator_test_1.1_9390a0ac081496c0_.log (deflated 42%) 2025-12-04T10:22:29.5831123Z adding: test/test-reports/cpp.dlconvertor_test_1.1_71a0f8d87ea5ccec_.log (deflated 42%) 2025-12-04T10:22:29.5831793Z adding: test/test-reports/cpp.extension_backend_test_1.1_3ff254b4fb6b6803_.log (deflated 42%) 2025-12-04T10:22:29.5832202Z adding: test/test-reports/cpp.lazy_tensor_test_1.1_30192521ac332e37_.log (deflated 42%) 2025-12-04T10:22:29.5832592Z adding: test/test-reports/cpp.legacy_vmap_test_1.1_2d347de1f514783a_.log (deflated 42%) 2025-12-04T10:22:29.5832974Z adding: test/test-reports/cpp.native_test_1.1_f0cb7aef4360cdf2_.log (deflated 42%) 2025-12-04T10:22:29.5833348Z adding: test/test-reports/cpp.operators_test_1.1_cfda3ec093c21785_.log (deflated 42%) 2025-12-04T10:22:29.5833735Z adding: test/test-reports/cpp.scalar_tensor_test_1.1_6b9f367523ba4ed5_.log (deflated 42%) 2025-12-04T10:22:29.5834118Z adding: test/test-reports/cpp.scalar_test_1.1_793a6795cd0c6447_.log (deflated 42%) 2025-12-04T10:22:29.5834513Z adding: test/test-reports/cpp.tensor_iterator_test_1.1_7bbc57834f562cb9_.log (deflated 42%) 2025-12-04T10:22:29.5834925Z adding: test/test-reports/cpp.undefined_tensor_test_1.1_f94fa01be5cbedcc_.log (deflated 42%) 2025-12-04T10:22:29.5852378Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-12-04T10:22:29.5852822Z # Remove any previous debugging artifacts if they exist 2025-12-04T10:22:29.5853239Z rm -f debug-*.zip 2025-12-04T10:22:29.5853492Z if [ -d 'test/debug' ]; then 2025-12-04T10:22:29.5853805Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-12-04T10:22:29.5854089Z fi 2025-12-04T10:22:29.5858366Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:22:29.5858591Z env: 2025-12-04T10:22:29.5858738Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:22:29.5858916Z HAS_NVIDIA_GPU: false 2025-12-04T10:22:29.5859190Z DOCKER_CONTAINER_ID: 6e00bad4f02eda5203b2bd3cc85146766687a298ec856060004b50978dc1d52b 2025-12-04T10:22:29.5859468Z DEVICE_NAME: 2025-12-04T10:22:29.5859620Z DEVICE_TYPE: 2025-12-04T10:22:29.5859841Z FILE_SUFFIX: test-dynamo_wrapped-1-3-linux.c7i.2xlarge_57116440080 2025-12-04T10:22:29.5860238Z ##[endgroup] 2025-12-04T10:22:29.5920930Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T10:22:29.5921149Z with: 2025-12-04T10:22:29.5921307Z s3-bucket: gha-artifacts 2025-12-04T10:22:29.5921524Z s3-prefix: pytorch/pytorch/19922796517/1/artifact 2025-12-04T10:22:29.5921733Z retention-days: 14 2025-12-04T10:22:29.5921902Z if-no-files-found: warn 2025-12-04T10:22:29.5922078Z path: test-jsons-*.zip 2025-12-04T10:22:29.5922231Z name: artifact 2025-12-04T10:22:29.5922381Z region: us-east-1 2025-12-04T10:22:29.5922528Z env: 2025-12-04T10:22:29.5922663Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:22:29.5922832Z HAS_NVIDIA_GPU: false 2025-12-04T10:22:29.5923103Z DOCKER_CONTAINER_ID: 6e00bad4f02eda5203b2bd3cc85146766687a298ec856060004b50978dc1d52b 2025-12-04T10:22:29.5923389Z DEVICE_NAME: 2025-12-04T10:22:29.5923531Z DEVICE_TYPE: 2025-12-04T10:22:29.5923678Z ##[endgroup] 2025-12-04T10:22:30.0469503Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T10:22:30.0470099Z With the provided path, there will be 1 file uploaded 2025-12-04T10:22:30.0470392Z Uploading to s3 prefix: pytorch/pytorch/19922796517/1/artifact 2025-12-04T10:22:30.0601321Z Starting upload of test-jsons-test-dynamo_wrapped-1-3-linux.c7i.2xlarge_57116440080.zip 2025-12-04T10:22:30.1907333Z Finished upload of test-jsons-test-dynamo_wrapped-1-3-linux.c7i.2xlarge_57116440080.zip 2025-12-04T10:22:30.2056512Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T10:22:30.2056737Z with: 2025-12-04T10:22:30.2056893Z s3-bucket: gha-artifacts 2025-12-04T10:22:30.2057110Z s3-prefix: pytorch/pytorch/19922796517/1/artifact 2025-12-04T10:22:30.2057330Z retention-days: 14 2025-12-04T10:22:30.2057490Z if-no-files-found: error 2025-12-04T10:22:30.2057672Z path: test-reports-*.zip 2025-12-04T10:22:30.2057842Z name: artifact 2025-12-04T10:22:30.2057987Z region: us-east-1 2025-12-04T10:22:30.2058138Z env: 2025-12-04T10:22:30.2058282Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:22:30.2058448Z HAS_NVIDIA_GPU: false 2025-12-04T10:22:30.2058749Z DOCKER_CONTAINER_ID: 6e00bad4f02eda5203b2bd3cc85146766687a298ec856060004b50978dc1d52b 2025-12-04T10:22:30.2059045Z DEVICE_NAME: 2025-12-04T10:22:30.2059188Z DEVICE_TYPE: 2025-12-04T10:22:30.2059345Z ##[endgroup] 2025-12-04T10:22:30.4497551Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T10:22:30.4497918Z With the provided path, there will be 1 file uploaded 2025-12-04T10:22:30.4498210Z Uploading to s3 prefix: pytorch/pytorch/19922796517/1/artifact 2025-12-04T10:22:30.4527293Z Starting upload of test-reports-test-dynamo_wrapped-1-3-linux.c7i.2xlarge_57116440080.zip 2025-12-04T10:22:30.5560001Z Finished upload of test-reports-test-dynamo_wrapped-1-3-linux.c7i.2xlarge_57116440080.zip 2025-12-04T10:22:30.5704997Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T10:22:30.5705202Z with: 2025-12-04T10:22:30.5705360Z s3-bucket: gha-artifacts 2025-12-04T10:22:30.5705572Z s3-prefix: pytorch/pytorch/19922796517/1/artifact 2025-12-04T10:22:30.5705781Z retention-days: 14 2025-12-04T10:22:30.5705966Z if-no-files-found: ignore 2025-12-04T10:22:30.5706141Z path: logs-*.zip 2025-12-04T10:22:30.5706284Z name: artifact 2025-12-04T10:22:30.5706435Z region: us-east-1 2025-12-04T10:22:30.5706677Z env: 2025-12-04T10:22:30.5706820Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:22:30.5707002Z HAS_NVIDIA_GPU: false 2025-12-04T10:22:30.5707289Z DOCKER_CONTAINER_ID: 6e00bad4f02eda5203b2bd3cc85146766687a298ec856060004b50978dc1d52b 2025-12-04T10:22:30.5707587Z DEVICE_NAME: 2025-12-04T10:22:30.5707734Z DEVICE_TYPE: 2025-12-04T10:22:30.5707891Z ##[endgroup] 2025-12-04T10:22:30.8154537Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T10:22:30.8156287Z With the provided path, there will be 1 file uploaded 2025-12-04T10:22:30.8156617Z Uploading to s3 prefix: pytorch/pytorch/19922796517/1/artifact 2025-12-04T10:22:30.8181549Z Starting upload of logs-test-dynamo_wrapped-1-3-linux.c7i.2xlarge_57116440080.zip 2025-12-04T10:22:30.9481565Z Finished upload of logs-test-dynamo_wrapped-1-3-linux.c7i.2xlarge_57116440080.zip 2025-12-04T10:22:30.9646183Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T10:22:30.9646493Z with: 2025-12-04T10:22:30.9646715Z s3-bucket: gha-artifacts 2025-12-04T10:22:30.9647028Z s3-prefix: pytorch/pytorch/19922796517/1/artifact 2025-12-04T10:22:30.9647339Z retention-days: 14 2025-12-04T10:22:30.9647580Z if-no-files-found: ignore 2025-12-04T10:22:30.9647839Z path: debug-*.zip 2025-12-04T10:22:30.9648050Z name: artifact 2025-12-04T10:22:30.9648276Z region: us-east-1 2025-12-04T10:22:30.9648491Z env: 2025-12-04T10:22:30.9648700Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:22:30.9648951Z HAS_NVIDIA_GPU: false 2025-12-04T10:22:30.9649374Z DOCKER_CONTAINER_ID: 6e00bad4f02eda5203b2bd3cc85146766687a298ec856060004b50978dc1d52b 2025-12-04T10:22:30.9649826Z DEVICE_NAME: 2025-12-04T10:22:30.9650043Z DEVICE_TYPE: 2025-12-04T10:22:30.9650257Z ##[endgroup] 2025-12-04T10:22:31.2018571Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-12-04T10:22:31.2166853Z ##[group]Run # shellcheck disable=SC2156 2025-12-04T10:22:31.2167112Z # shellcheck disable=SC2156 2025-12-04T10:22:31.2167476Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-12-04T10:22:31.2171913Z shell: /usr/bin/bash -e {0} 2025-12-04T10:22:31.2172098Z env: 2025-12-04T10:22:31.2172255Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:22:31.2172426Z HAS_NVIDIA_GPU: false 2025-12-04T10:22:31.2172714Z DOCKER_CONTAINER_ID: 6e00bad4f02eda5203b2bd3cc85146766687a298ec856060004b50978dc1d52b 2025-12-04T10:22:31.2173016Z DEVICE_NAME: 2025-12-04T10:22:31.2173173Z DEVICE_TYPE: 2025-12-04T10:22:31.2173320Z ##[endgroup] 2025-12-04T10:22:31.4084872Z Prepare all required actions 2025-12-04T10:22:31.4085325Z Getting action download info 2025-12-04T10:22:31.5618281Z Download action repository 'actions/setup-python@v6' (SHA:83679a892e2d95755f2dac6acb0bfd1e9ac5d548) 2025-12-04T10:22:31.8902417Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-12-04T10:22:31.8902657Z with: 2025-12-04T10:22:31.8902813Z job_id: 57116440080 2025-12-04T10:22:31.8903051Z job_name: dynamo-test (3.11) / test (dynamo_wrapped, 1, 3, linux.c7i.2xlarge) 2025-12-04T10:22:31.8903323Z workflow_name: dynamo-unittest 2025-12-04T10:22:31.8903515Z workflow_run_id: 19922796517 2025-12-04T10:22:31.8903690Z workflow_attempt: 1 2025-12-04T10:22:31.8903835Z env: 2025-12-04T10:22:31.8903973Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:22:31.8904142Z HAS_NVIDIA_GPU: false 2025-12-04T10:22:31.8904404Z DOCKER_CONTAINER_ID: 6e00bad4f02eda5203b2bd3cc85146766687a298ec856060004b50978dc1d52b 2025-12-04T10:22:31.8904689Z DEVICE_NAME: 2025-12-04T10:22:31.8904882Z DEVICE_TYPE: 2025-12-04T10:22:31.8905024Z ##[endgroup] 2025-12-04T10:22:31.8929968Z ##[group]Run actions/setup-python@v6 2025-12-04T10:22:31.8930159Z with: 2025-12-04T10:22:31.8930314Z python-version: 3.10 2025-12-04T10:22:31.8930482Z check-latest: false 2025-12-04T10:22:31.8930806Z token: *** 2025-12-04T10:22:31.8931027Z update-environment: true 2025-12-04T10:22:31.8931271Z allow-prereleases: false 2025-12-04T10:22:31.8931498Z freethreaded: false 2025-12-04T10:22:31.8931828Z env: 2025-12-04T10:22:31.8932030Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:22:31.8932300Z HAS_NVIDIA_GPU: false 2025-12-04T10:22:31.8932707Z DOCKER_CONTAINER_ID: 6e00bad4f02eda5203b2bd3cc85146766687a298ec856060004b50978dc1d52b 2025-12-04T10:22:31.8933166Z DEVICE_NAME: 2025-12-04T10:22:31.8933391Z DEVICE_TYPE: 2025-12-04T10:22:31.8933597Z ##[endgroup] 2025-12-04T10:22:32.3629967Z ##[group]Installed versions 2025-12-04T10:22:32.3630783Z Version 3.10 was not found in the local cache 2025-12-04T10:22:32.3874893Z (node:55884) [DEP0040] DeprecationWarning: The `punycode` module is deprecated. Please use a userland alternative instead. 2025-12-04T10:22:32.3875451Z (Use `node --trace-deprecation ...` to show where the warning was created) 2025-12-04T10:22:32.7514076Z ##[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 2025-12-04T10:22:32.7676195Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2025-12-04T10:22:32.7676502Z with: 2025-12-04T10:22:32.7676688Z env: 2025-12-04T10:22:32.7676896Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:22:32.7677075Z HAS_NVIDIA_GPU: false 2025-12-04T10:22:32.7677343Z DOCKER_CONTAINER_ID: 6e00bad4f02eda5203b2bd3cc85146766687a298ec856060004b50978dc1d52b 2025-12-04T10:22:32.7677634Z DEVICE_NAME: 2025-12-04T10:22:32.7677786Z DEVICE_TYPE: 2025-12-04T10:22:32.7677929Z ##[endgroup] 2025-12-04T10:22:32.7687833Z ##[group]Run set -eou pipefail 2025-12-04T10:22:32.7688046Z set -eou pipefail 2025-12-04T10:22:32.7688213Z  2025-12-04T10:22:32.7688438Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2025-12-04T10:22:32.7688710Z for _ in $(seq 1440); do 2025-12-04T10:22:32.7688915Z  # Break if no ssh session exists anymore 2025-12-04T10:22:32.7689133Z  if [ "$(who)" = "" ]; then 2025-12-04T10:22:32.7689357Z  break 2025-12-04T10:22:32.7689581Z  fi 2025-12-04T10:22:32.7689730Z  echo "." 2025-12-04T10:22:32.7689878Z  sleep 5 2025-12-04T10:22:32.7690030Z done 2025-12-04T10:22:32.7694672Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:22:32.7694892Z env: 2025-12-04T10:22:32.7695048Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:22:32.7695222Z HAS_NVIDIA_GPU: false 2025-12-04T10:22:32.7695536Z DOCKER_CONTAINER_ID: 6e00bad4f02eda5203b2bd3cc85146766687a298ec856060004b50978dc1d52b 2025-12-04T10:22:32.7695828Z DEVICE_NAME: 2025-12-04T10:22:32.7695968Z DEVICE_TYPE: 2025-12-04T10:22:32.7696123Z ##[endgroup] 2025-12-04T10:22:32.7715108Z Holding runner for 2 hours until all ssh sessions have logged out 2025-12-04T10:22:32.7780793Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T10:22:32.7781174Z # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T10:22:32.7781505Z # shellcheck disable=SC2046 2025-12-04T10:22:32.7781745Z docker stop $(docker ps -q) || true 2025-12-04T10:22:32.7781959Z # Prune all of the docker images 2025-12-04T10:22:32.7782161Z docker system prune -af 2025-12-04T10:22:32.7786269Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:22:32.7786539Z env: 2025-12-04T10:22:32.7786704Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:22:32.7786920Z HAS_NVIDIA_GPU: false 2025-12-04T10:22:32.7787197Z DOCKER_CONTAINER_ID: 6e00bad4f02eda5203b2bd3cc85146766687a298ec856060004b50978dc1d52b 2025-12-04T10:22:32.7787478Z DEVICE_NAME: 2025-12-04T10:22:32.7787630Z DEVICE_TYPE: 2025-12-04T10:22:32.7787782Z ##[endgroup] 2025-12-04T10:22:43.6205066Z 6e00bad4f02e 2025-12-04T10:22:44.1783103Z Deleted Containers: 2025-12-04T10:22:44.1783465Z 6e00bad4f02eda5203b2bd3cc85146766687a298ec856060004b50978dc1d52b 2025-12-04T10:22:44.1783687Z 2025-12-04T10:22:55.7387270Z Deleted Images: 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2025-12-04T10:22:55.7642075Z Post job cleanup. 2025-12-04T10:22:55.8627748Z (node:56040) [DEP0040] DeprecationWarning: The `punycode` module is deprecated. Please use a userland alternative instead. 2025-12-04T10:22:55.8628540Z (Use `node --trace-deprecation ...` to show where the warning was created) 2025-12-04T10:22:55.8791833Z Post job cleanup. 2025-12-04T10:22:55.8851338Z Post job cleanup. 2025-12-04T10:22:55.9698588Z [command]/usr/bin/git version 2025-12-04T10:22:55.9796714Z git version 2.50.1 2025-12-04T10:22:55.9828314Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/3fffbc4a-39f4-492c-b235-1812b10797e3/.gitconfig' 2025-12-04T10:22:55.9836765Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/3fffbc4a-39f4-492c-b235-1812b10797e3' before making global git config changes 2025-12-04T10:22:55.9837485Z Adding repository directory to the temporary git global config as a safe directory 2025-12-04T10:22:55.9841907Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T10:22:55.9891741Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-12-04T10:22:55.9924375Z [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' || :" 2025-12-04T10:22:56.0292057Z Entering 'android/libs/fbjni' 2025-12-04T10:22:56.0345986Z Entering 'third_party/FP16' 2025-12-04T10:22:56.0392201Z Entering 'third_party/FXdiv' 2025-12-04T10:22:56.0441960Z Entering 'third_party/NNPACK' 2025-12-04T10:22:56.0482857Z Entering 'third_party/NVTX' 2025-12-04T10:22:56.0528437Z Entering 'third_party/VulkanMemoryAllocator' 2025-12-04T10:22:56.0575491Z Entering 'third_party/XNNPACK' 2025-12-04T10:22:56.0635598Z Entering 'third_party/aiter' 2025-12-04T10:22:56.0683148Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T10:22:56.0744338Z Entering 'third_party/benchmark' 2025-12-04T10:22:56.0790002Z Entering 'third_party/composable_kernel' 2025-12-04T10:22:56.0852278Z Entering 'third_party/cpp-httplib' 2025-12-04T10:22:56.0900207Z Entering 'third_party/cpuinfo' 2025-12-04T10:22:56.0948208Z Entering 'third_party/cudnn_frontend' 2025-12-04T10:22:56.0991062Z Entering 'third_party/cutlass' 2025-12-04T10:22:56.1043572Z Entering 'third_party/fbgemm' 2025-12-04T10:22:56.1107611Z Entering 'third_party/fbgemm/external/asmjit' 2025-12-04T10:22:56.1164558Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-12-04T10:22:56.1228747Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-12-04T10:22:56.1284971Z Entering 'third_party/fbgemm/external/cutlass' 2025-12-04T10:22:56.1350850Z Entering 'third_party/fbgemm/external/googletest' 2025-12-04T10:22:56.1405154Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-12-04T10:22:56.1459810Z Entering 'third_party/fbgemm/external/json' 2025-12-04T10:22:56.1508942Z Entering 'third_party/flash-attention' 2025-12-04T10:22:56.1553724Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T10:22:56.1603104Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-12-04T10:22:56.1660411Z Entering 'third_party/flatbuffers' 2025-12-04T10:22:56.1704641Z Entering 'third_party/fmt' 2025-12-04T10:22:56.1750191Z Entering 'third_party/gemmlowp/gemmlowp' 2025-12-04T10:22:56.1798401Z Entering 'third_party/gloo' 2025-12-04T10:22:56.1849236Z Entering 'third_party/googletest' 2025-12-04T10:22:56.1894783Z Entering 'third_party/ideep' 2025-12-04T10:22:56.1954539Z Entering 'third_party/ideep/mkl-dnn' 2025-12-04T10:22:56.2003850Z Entering 'third_party/ittapi' 2025-12-04T10:22:56.2049223Z Entering 'third_party/kineto' 2025-12-04T10:22:56.2096441Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T10:22:56.2144368Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T10:22:56.2187443Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T10:22:56.2231836Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T10:22:56.2274369Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T10:22:56.2316727Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T10:22:56.2365598Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T10:22:56.2413065Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T10:22:56.2462644Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T10:22:56.2509470Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T10:22:56.2554117Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T10:22:56.2594858Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T10:22:56.2642762Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T10:22:56.2690826Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T10:22:56.2739822Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T10:22:56.2785834Z Entering 'third_party/kleidiai' 2025-12-04T10:22:56.2831433Z Entering 'third_party/mimalloc' 2025-12-04T10:22:56.2876357Z Entering 'third_party/nlohmann' 2025-12-04T10:22:56.2923477Z Entering 'third_party/onnx' 2025-12-04T10:22:56.2979632Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T10:22:56.3028579Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T10:22:56.3075432Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T10:22:56.3119903Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T10:22:56.3161683Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T10:22:56.3206298Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T10:22:56.3251604Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T10:22:56.3292170Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T10:22:56.3337268Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T10:22:56.3379171Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T10:22:56.3428732Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T10:22:56.3478192Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T10:22:56.3540194Z Entering 'third_party/pocketfft' 2025-12-04T10:22:56.3587273Z Entering 'third_party/protobuf' 2025-12-04T10:22:56.3640582Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T10:22:56.3686133Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T10:22:56.3735841Z Entering 'third_party/psimd' 2025-12-04T10:22:56.3779387Z Entering 'third_party/pthreadpool' 2025-12-04T10:22:56.3825124Z Entering 'third_party/pybind11' 2025-12-04T10:22:56.3867880Z Entering 'third_party/python-peachpy' 2025-12-04T10:22:56.3910929Z Entering 'third_party/sleef' 2025-12-04T10:22:56.3957107Z Entering 'third_party/tensorpipe' 2025-12-04T10:22:56.4000449Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T10:22:56.4048802Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T10:22:56.4090549Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T10:22:56.4133223Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T10:22:56.4179808Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T10:22:56.4254067Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-12-04T10:22:56.4275653Z http.https://github.com/.extraheader 2025-12-04T10:22:56.4281126Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-12-04T10:22:56.4304220Z [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' || :" 2025-12-04T10:22:56.4550302Z Entering 'android/libs/fbjni' 2025-12-04T10:22:56.4584201Z http.https://github.com/.extraheader 2025-12-04T10:22:56.4612411Z Entering 'third_party/FP16' 2025-12-04T10:22:56.4641426Z http.https://github.com/.extraheader 2025-12-04T10:22:56.4676197Z Entering 'third_party/FXdiv' 2025-12-04T10:22:56.4706715Z http.https://github.com/.extraheader 2025-12-04T10:22:56.4739098Z Entering 'third_party/NNPACK' 2025-12-04T10:22:56.4767581Z http.https://github.com/.extraheader 2025-12-04T10:22:56.4793665Z Entering 'third_party/NVTX' 2025-12-04T10:22:56.4824059Z http.https://github.com/.extraheader 2025-12-04T10:22:56.4850913Z Entering 'third_party/VulkanMemoryAllocator' 2025-12-04T10:22:56.4880287Z http.https://github.com/.extraheader 2025-12-04T10:22:56.4911076Z Entering 'third_party/XNNPACK' 2025-12-04T10:22:56.4939843Z http.https://github.com/.extraheader 2025-12-04T10:22:56.4980602Z Entering 'third_party/aiter' 2025-12-04T10:22:56.5011735Z http.https://github.com/.extraheader 2025-12-04T10:22:56.5038941Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T10:22:56.5071015Z http.https://github.com/.extraheader 2025-12-04T10:22:56.5103893Z Entering 'third_party/benchmark' 2025-12-04T10:22:56.5134286Z http.https://github.com/.extraheader 2025-12-04T10:22:56.5163233Z Entering 'third_party/composable_kernel' 2025-12-04T10:22:56.5195913Z http.https://github.com/.extraheader 2025-12-04T10:22:56.5238349Z Entering 'third_party/cpp-httplib' 2025-12-04T10:22:56.5269900Z http.https://github.com/.extraheader 2025-12-04T10:22:56.5297968Z Entering 'third_party/cpuinfo' 2025-12-04T10:22:56.5330817Z http.https://github.com/.extraheader 2025-12-04T10:22:56.5358951Z Entering 'third_party/cudnn_frontend' 2025-12-04T10:22:56.5388842Z http.https://github.com/.extraheader 2025-12-04T10:22:56.5417112Z Entering 'third_party/cutlass' 2025-12-04T10:22:56.5449313Z http.https://github.com/.extraheader 2025-12-04T10:22:56.5489520Z Entering 'third_party/fbgemm' 2025-12-04T10:22:56.5523037Z http.https://github.com/.extraheader 2025-12-04T10:22:56.5553286Z Entering 'third_party/fbgemm/external/asmjit' 2025-12-04T10:22:56.5583525Z http.https://github.com/.extraheader 2025-12-04T10:22:56.5611868Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-12-04T10:22:56.5641918Z http.https://github.com/.extraheader 2025-12-04T10:22:56.5677331Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-12-04T10:22:56.5714092Z http.https://github.com/.extraheader 2025-12-04T10:22:56.5744615Z Entering 'third_party/fbgemm/external/cutlass' 2025-12-04T10:22:56.5775652Z http.https://github.com/.extraheader 2025-12-04T10:22:56.5810936Z Entering 'third_party/fbgemm/external/googletest' 2025-12-04T10:22:56.5841248Z http.https://github.com/.extraheader 2025-12-04T10:22:56.5870051Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-12-04T10:22:56.5899104Z http.https://github.com/.extraheader 2025-12-04T10:22:56.5934047Z Entering 'third_party/fbgemm/external/json' 2025-12-04T10:22:56.5965372Z http.https://github.com/.extraheader 2025-12-04T10:22:56.5994170Z Entering 'third_party/flash-attention' 2025-12-04T10:22:56.6026232Z http.https://github.com/.extraheader 2025-12-04T10:22:56.6055733Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T10:22:56.6083882Z http.https://github.com/.extraheader 2025-12-04T10:22:56.6116205Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-12-04T10:22:56.6146902Z http.https://github.com/.extraheader 2025-12-04T10:22:56.6181705Z Entering 'third_party/flatbuffers' 2025-12-04T10:22:56.6215182Z http.https://github.com/.extraheader 2025-12-04T10:22:56.6244875Z Entering 'third_party/fmt' 2025-12-04T10:22:56.6275561Z http.https://github.com/.extraheader 2025-12-04T10:22:56.6302839Z Entering 'third_party/gemmlowp/gemmlowp' 2025-12-04T10:22:56.6338245Z http.https://github.com/.extraheader 2025-12-04T10:22:56.6368489Z Entering 'third_party/gloo' 2025-12-04T10:22:56.6397473Z http.https://github.com/.extraheader 2025-12-04T10:22:56.6426861Z Entering 'third_party/googletest' 2025-12-04T10:22:56.6456352Z http.https://github.com/.extraheader 2025-12-04T10:22:56.6484345Z Entering 'third_party/ideep' 2025-12-04T10:22:56.6517610Z http.https://github.com/.extraheader 2025-12-04T10:22:56.6548188Z Entering 'third_party/ideep/mkl-dnn' 2025-12-04T10:22:56.6575522Z http.https://github.com/.extraheader 2025-12-04T10:22:56.6614136Z Entering 'third_party/ittapi' 2025-12-04T10:22:56.6643023Z http.https://github.com/.extraheader 2025-12-04T10:22:56.6669060Z Entering 'third_party/kineto' 2025-12-04T10:22:56.6697913Z http.https://github.com/.extraheader 2025-12-04T10:22:56.6728440Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T10:22:56.6760568Z http.https://github.com/.extraheader 2025-12-04T10:22:56.6787912Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T10:22:56.6820398Z http.https://github.com/.extraheader 2025-12-04T10:22:56.6850838Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T10:22:56.6879962Z http.https://github.com/.extraheader 2025-12-04T10:22:56.6907149Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T10:22:56.6934709Z http.https://github.com/.extraheader 2025-12-04T10:22:56.6962232Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T10:22:56.6996147Z http.https://github.com/.extraheader 2025-12-04T10:22:56.7028471Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T10:22:56.7065231Z http.https://github.com/.extraheader 2025-12-04T10:22:56.7092366Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T10:22:56.7124051Z http.https://github.com/.extraheader 2025-12-04T10:22:56.7153190Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T10:22:56.7180684Z http.https://github.com/.extraheader 2025-12-04T10:22:56.7207930Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T10:22:56.7239999Z http.https://github.com/.extraheader 2025-12-04T10:22:56.7269056Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T10:22:56.7296307Z http.https://github.com/.extraheader 2025-12-04T10:22:56.7329901Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T10:22:56.7360352Z http.https://github.com/.extraheader 2025-12-04T10:22:56.7389550Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T10:22:56.7423342Z http.https://github.com/.extraheader 2025-12-04T10:22:56.7452011Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T10:22:56.7480609Z http.https://github.com/.extraheader 2025-12-04T10:22:56.7519376Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T10:22:56.7548485Z http.https://github.com/.extraheader 2025-12-04T10:22:56.7576924Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T10:22:56.7606559Z http.https://github.com/.extraheader 2025-12-04T10:22:56.7638691Z Entering 'third_party/kleidiai' 2025-12-04T10:22:56.7671058Z http.https://github.com/.extraheader 2025-12-04T10:22:56.7694193Z Entering 'third_party/mimalloc' 2025-12-04T10:22:56.7727981Z http.https://github.com/.extraheader 2025-12-04T10:22:56.7757597Z Entering 'third_party/nlohmann' 2025-12-04T10:22:56.7784373Z http.https://github.com/.extraheader 2025-12-04T10:22:56.7812979Z Entering 'third_party/onnx' 2025-12-04T10:22:56.7842975Z http.https://github.com/.extraheader 2025-12-04T10:22:56.7886104Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T10:22:56.7917545Z http.https://github.com/.extraheader 2025-12-04T10:22:56.7949035Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T10:22:56.7979399Z http.https://github.com/.extraheader 2025-12-04T10:22:56.8010762Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T10:22:56.8045095Z http.https://github.com/.extraheader 2025-12-04T10:22:56.8074622Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T10:22:56.8104227Z http.https://github.com/.extraheader 2025-12-04T10:22:56.8130911Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T10:22:56.8160564Z http.https://github.com/.extraheader 2025-12-04T10:22:56.8186299Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T10:22:56.8217691Z http.https://github.com/.extraheader 2025-12-04T10:22:56.8248431Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T10:22:56.8278385Z http.https://github.com/.extraheader 2025-12-04T10:22:56.8299740Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T10:22:56.8329346Z http.https://github.com/.extraheader 2025-12-04T10:22:56.8361762Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T10:22:56.8390236Z http.https://github.com/.extraheader 2025-12-04T10:22:56.8420593Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T10:22:56.8449615Z http.https://github.com/.extraheader 2025-12-04T10:22:56.8482900Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T10:22:56.8514617Z http.https://github.com/.extraheader 2025-12-04T10:22:56.8546491Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T10:22:56.8577403Z http.https://github.com/.extraheader 2025-12-04T10:22:56.8619072Z Entering 'third_party/pocketfft' 2025-12-04T10:22:56.8649524Z http.https://github.com/.extraheader 2025-12-04T10:22:56.8675489Z Entering 'third_party/protobuf' 2025-12-04T10:22:56.8709365Z http.https://github.com/.extraheader 2025-12-04T10:22:56.8738277Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T10:22:56.8765639Z http.https://github.com/.extraheader 2025-12-04T10:22:56.8793228Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T10:22:56.8821938Z http.https://github.com/.extraheader 2025-12-04T10:22:56.8863347Z Entering 'third_party/psimd' 2025-12-04T10:22:56.8891403Z http.https://github.com/.extraheader 2025-12-04T10:22:56.8922262Z Entering 'third_party/pthreadpool' 2025-12-04T10:22:56.8952713Z http.https://github.com/.extraheader 2025-12-04T10:22:56.8979044Z Entering 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